#smart road condition monitoring gis

[cyberswift-story]

Road Condition Monitoring System(RCMS): Enhancing Efficiency with AI-Powered Solutions

The quality and sustainability of road infrastructure play a pivotal role in societal development, economic growth, and the safety of communities. To address the challenges of road construction and maintenance, advanced digital tools such as Road Condition Monitoring Systems (RCMS) are becoming indispensable. Leveraging technologies like AI-powered pothole detection, data analytics, and interactive visualization, RCMS ensures efficient planning, monitoring, and maintenance of road networks.

[accuratesurvey]

How GIS Technology is Transforming the UAE Landscape? Learn How Data Processing Shapes the Future

Picture how at dawn, a surveyor watches the sun cast its shadows over Dubai from atop the Burj Khalifa. The data below describes a nation that turned deserts into shining cities within a short period. This is a real story because GIS Surveys and Data Processing make a big difference in planning, constructing, and managing cities in the UAE.

The Overview of Smart Cities

The smart city initiatives in every emirate in the United Arab Emirates rely heavily on Geographic Information Systems (GIS). In Dubai and Abu Dhabi, GIS surveys help ensure that decision-makers in these cities use spatial data effectively.

Today, GIS surveys in the UAE gather information about buildings, roads, the environment, and the population’s demographics. As a result, this system helps city planners organize all the parts of the city more efficiently and make the city a nicer place for its people.

Advanced Methods for Surveying in the Desert

GIS professionals in the UAE have to deal with challenges and take advantage of the country’s unique geography. In view of the country’s fast development and its arid climate, the need for precise and quick data collection is inevitable. Surveying equipment used today is equipped with advanced technologies.

LiDAR Technology: millions of precise points are collected about what is on the ground which is then used to form highly detailed 3D images. This technology has helped to track the many changes in the UAE’s landscape, from near the sea to far within the mountains.

Merging Satellite Photos and Data: Using high-resolution satellite images, real-time information about land use is obtained and used to improve maps that track China’s fast growth. It allows authorities to observe how things are progressing in the city, follow how it is growing, and notice any changes in the environment.

Mobile Mapping Systems: Sensors installed on vehicles gather data from the streets, resulting in complete databases of different parts of a road network. In highly congested urban places, these systems can be more useful than traditional types of surveying.

Data Processing: From Raw Information to Actionable Intelligence

GIS is particularly useful because it makes collecting data meaningful through processing large volumes of spatial information. Most recent survey methods create large datasets, but the UAE can now process this data with ease.

Thanks to cloud processing, those responsible can quickly look at results from the survey and make decisions based on conditions as they stand. Thanks to machine learning, it becomes easier to plan for future challenges rather than respond only to them as they occur.

GIS maps are updated frequently when paired with IoT sensors. Understanding the complexity of cities improves by using smart traffic systems, monitoring environmental conditions, and overseeing utilities.

Relevant uses of AI making a difference in the Emirates

Many important projects in the UAE demonstrate the effects of advanced GIS technology.

Infrastructure Planning: Using GIS, engineers can design plans for new transport and utility structures to ensure they cause the least disturbance possible. By relying on detailed maps of the area, the Dubai Metro team was able to prevent hitting important infrastructure.

Environmental Monitoring: GIS is used to monitor the weakness of coastal areas, the quality of the air, and the management of water supplies in this part of the world. By using this technology, the UAE gathers relevant information for sustainable environmental protection.

Emergency Response: If spatial data is correct, emergency teams can respond more swiftly and plan better for any disaster. GIS was essential for health officials to observe the spread of COVID-19 and select the most suitable locations for testing and vaccination centers.

Economic Development: GIS tools help free zones and business districts attract investors by displaying their infrastructure and the available opportunities. Due to its spatial intelligence, the UAE ranks as a leading business hub around the world.

Studying Challenges and Future Opportunities

While there has been significant progress, there are still difficulties in using GIS in the UAE. It is important to standardize data collected in all emirates, connect older systems and hire skilled staff. Yet, efforts such as the National Spatial Data Infrastructure in the UAE are helping overcome these problems step by step.

In the future, new technology is set to offer more advanced features. Artificial intelligence will help in extracting more information automatically from the data collected in surveys. With digital twin technology, we will be able to generate virtual cities that can be used for planning and supervising different situations.

Choosing the GIS Surveying Experts

With the help of spatial technology, the UAE made the leap from a desert to an international city. While the nation advances in city development and new technology, GIS Survey and Data Processing in UAE will play a key role in helping it grow.

GIS nowadays not only tracks the changes happening in the UAE; it also helps drive them forward. Thanks to spatial intelligence, the Emirates is set to make progress in both sustainable development and management of resources, aiming to create an extraordinary future.

GIS technologies are set to revolutionize urban development and other aspects of innovation in the UAE. If you would like to learn more about GIS surveying and data processing in UAE you can visit the page.

[williamsbrothersconstruction]

Advancing Highway Construction with Cutting-Edge Engineering Solutions

Highways serve as the arteries of modern economies, facilitating the efficient transportation of goods, services, and people across cities, states, and nations. However, the construction and maintenance of these critical infrastructures have long presented logistical, environmental, and safety challenges. Williams Brothers Construction Company, Inc. leads highway development, utilizing innovative engineering solutions to improve efficiency, durability, and sustainability.

Significant advancements have characterized the evolution of highway construction. In the past, early construction methods relied heavily on manual labor and essential tools, resulting in extended project timelines and inconsistent quality. Although introducing heavy machinery enhanced efficiency, rising costs, increased traffic disruptions, and environmental concerns persisted. Today, the industry requires highways that can accommodate growing populations while integrating sustainable, resilient designs.

One of the most groundbreaking advancements in highway construction is Intelligent Transportation Systems (ITS). These systems utilize real-time data to optimize traffic flow, manage congestion, and improve road safety. Smart traffic signals, automated lane closures, and dynamic message signs exemplify ITS applications that reduce delays and enhance travel efficiency. By incorporating these technologies into their projects, Williams Brothers ensures that highways remain adaptable and capable of meeting future demands.

In addition to smart transportation systems, innovative materials are transforming roadway durability. Traditional asphalt and concrete are being supplanted by self-healing asphalt, which autonomously repairs minor cracks, and permeable concrete, which decreases water accumulation and minimizes the risk of hydroplaning. High-performance aggregates improve road surfaces, increasing their resistance to wear and extreme weather conditions. By integrating these materials, Williams Brothers extends the lifespan of highways while lowering maintenance costs.

Automation represents another significant advancement in highway construction. Prefabricated and modular construction techniques enable components such as bridge sections and road panels to be manufactured offsite and assembled onsite. This method substantially reduces project timelines and minimizes disruptions to daily traffic. For example, modular bridge systems allow entire structures to be completed in weeks instead of months, ensuring quicker community connectivity.

Geospatial and drone technology further enhance highway development. Advanced mapping techniques, including LiDAR and GIS, provide precise topographical data, allowing engineers to design safer, more efficient roadways. Drones are vital in surveying construction sites, identifying potential hazards, and monitoring project progress in real-time. These technologies promote greater accuracy and efficiency, ensuring projects stay on schedule and within budget.

Sustainability lies at the core of modern highway construction. Williams Brothers emphasizes eco-friendly practices by incorporating recycled materials like reclaimed asphalt pavement and recycled concrete. Green infrastructure elements, such as roadside vegetation and solar-powered lighting, further minimize environmental impact. The company complies with industry regulations and contributes to broader environmental conservation efforts by adopting sustainable construction practices.

As an industry leader, Williams Brothers Construction Company, Inc. has been instrumental in developing major freeway and bridge projects. Their collaborations with state and federal agencies guarantee that infrastructure projects uphold the highest safety, efficiency, and resilience standards. Through a commitment to innovation, they continually redefine best practices in highway construction.

The advantages of cutting-edge engineering in highway development are clear. Automated machinery and real-time monitoring enhance worker safety, reducing construction-related accidents. Innovative materials and precise engineering lower costs while ensuring long-term durability. Sustainable practices align with environmental objectives, decreasing emissions and conserving resources. Furthermore, creative project management techniques streamline construction, minimizing disruptions for commuters and businesses.

Looking forward, the future of highway construction is primed for even more incredible advancements. Artificial Intelligence (AI) is anticipated to revolutionize infrastructure planning, with predictive models facilitating proactive maintenance and optimized traffic management. Solar road technology, which integrates photovoltaic cells into road surfaces, offers an opportunity to produce clean energy while sustaining transportation networks. The emergence of autonomous vehicles will also require smart highways capable of vehicle-to-infrastructure communication, ensuring seamless and efficient travel.

Highways represent more than mere roads—they are essential connections that propel economic growth and social progress. By incorporating advanced engineering solutions, the construction industry is tackling challenges and creating infrastructure that meets modern demands. Williams Brothers Construction Company, Inc. continues to lead in this transformation, merging expertise with innovation to construct the highways of tomorrow. Their forward-thinking approach guarantees safer, greener, and more resilient transportation networks for future generations.

Williams Brothers Construction Company, Inc. is the trusted partner for those seeking to develop enduring infrastructure projects. Contact their team today to discover how they can bring your next highway project to fruition with cutting-edge engineering solutions.

[woodwayenergy]

How Advanced Technology is Revolutionizing Gas Pipeline Construction🚀🔧

The field of gas pipeline construction has long been a cornerstone of energy infrastructure, essential for transporting natural gas from production sites to consumers. In recent years, advanced technologies have transformed this industry, making pipeline construction safer, more efficient, and more environmentally friendly. This article explores how cutting-edge technologies are revolutionizing gas pipeline construction, highlighting innovations that enhance every phase of pipeline projects. 🌍🔍

1. Precision Engineering and Design 🏗️🖥️

Advanced technology starts at the design phase, where precision engineering and digital tools play a crucial role.

Computer-Aided Design (CAD)

CAD software enables engineers to create detailed, accurate designs for pipeline systems. This technology allows for:

Detailed Modeling: Engineers can produce 3D models of pipelines, incorporating every component and potential challenge. This detailed visualization helps identify design flaws and optimize layouts before construction begins.

Simulation and Analysis: CAD tools facilitate simulations of various scenarios, including pressure changes and environmental impacts, ensuring that designs can withstand real-world conditions.

Geographic Information Systems (GIS)

GIS technology helps in mapping and analyzing geographic data, essential for planning pipeline routes.

Terrain Analysis: GIS can analyze topography, soil types, and environmental features, helping to select optimal routes and avoid sensitive areas.

Regulatory Compliance: GIS tools assist in ensuring that pipeline routes comply with local regulations and land use restrictions.

2. Innovative Construction Techniques 🚧🔩

New construction techniques enhance the efficiency and safety of pipeline installation.

Horizontal Directional Drilling (HDD)

HDD is a trenchless technology used to install pipelines with minimal surface disruption.

Reduced Surface Impact: HDD allows for the installation of pipelines beneath obstacles like rivers, roads, and buildings without extensive excavation.

Precision Placement: The technology provides precise control over the drilling path, reducing the risk of environmental damage and improving accuracy.

Automated Welding and Inspection

Automation in welding and inspection processes increases the quality and consistency of pipeline construction.

Robotic Welding: Robots equipped with advanced welding technology ensure high-quality, uniform welds, which are crucial for pipeline integrity and longevity.

Inspection Drones: Drones equipped with high-resolution cameras and sensors conduct aerial inspections, quickly identifying issues such as alignment errors or surface defects.

3. Advanced Materials and Coatings 🛠️🧪

Innovations in materials science contribute to the durability and safety of pipelines.

High-Strength Materials

New materials offer enhanced strength and resistance to environmental stresses.

Composite Materials: Composites such as fiber-reinforced polymers provide high strength and resistance to corrosion, extending the lifespan of pipelines.

Advanced Steel Alloys: Improved steel alloys with higher tensile strength and resistance to extreme temperatures and pressures are used in pipeline construction.

Protective Coatings

Advanced coatings protect pipelines from corrosion and other environmental factors.

Epoxy Coatings: Epoxy-based coatings create a protective barrier against moisture and chemicals, reducing the risk of corrosion.

Cathodic Protection: Technologies like impressed current and sacrificial anodes protect pipelines from electrochemical corrosion.

4. Real-Time Monitoring and Maintenance 📊🛡️

Modern technology enables real-time monitoring and proactive maintenance of pipeline systems.

Smart Sensors

Smart sensors embedded in pipelines collect data on various parameters.

Pressure and Temperature Sensors: These sensors continuously monitor pressure and temperature changes, providing early warnings of potential issues such as leaks or pressure drops.

Corrosion Sensors: Sensors detect corrosion levels and provide data for timely maintenance, reducing the risk of pipeline failures.

Predictive Maintenance

Predictive maintenance uses data analytics and machine learning to anticipate issues before they occur.

Data Analysis: By analyzing historical data and real-time inputs, predictive algorithms identify patterns and predict potential failures or maintenance needs.

Maintenance Scheduling: This technology allows for optimized maintenance scheduling, minimizing downtime and reducing costs.

5. Environmental and Safety Enhancements 🌱🚒

Advanced technology contributes to environmental protection and enhanced safety in pipeline construction.

Environmental Impact Reduction

Technologies aimed at minimizing environmental impact are integral to modern pipeline projects.

Environmental Monitoring: Remote sensing technologies and satellite imagery monitor environmental changes and detect potential issues such as oil spills or habitat disruption.

Eco-Friendly Construction Practices: Innovations such as zero-emission equipment and sustainable construction materials reduce the environmental footprint of pipeline projects.

Safety Management Systems

Enhanced safety systems ensure the protection of workers and the public.

Integrated Safety Systems: Modern safety systems integrate real-time data from sensors and monitoring devices to manage risks and respond to emergencies promptly.

Training Simulators: Virtual reality (VR) and augmented reality (AR) simulators provide immersive training experiences for workers, improving safety and preparedness.

6. The Future of Pipeline Technology 🚀🔮

The pipeline industry continues to evolve with emerging technologies and trends.

Artificial Intelligence (AI)

AI has the potential to revolutionize pipeline management.

Advanced Analytics: AI algorithms analyze large datasets to optimize pipeline operations and predict maintenance needs with greater accuracy.

Autonomous Systems: AI-powered robots and drones could automate routine tasks and inspections, increasing efficiency and reducing human error.

Blockchain for Transparency

Blockchain technology offers opportunities for enhanced transparency and traceability.

Data Integrity: Blockchain ensures the integrity of data related to pipeline construction, operation, and maintenance, reducing the risk of fraud and improving accountability.

Smart Contracts: Smart contracts facilitate automated and transparent agreements between stakeholders, streamlining processes and reducing administrative overhead.

Conclusion

Advanced technology is transforming gas pipeline construction, introducing innovations that enhance precision, efficiency, and safety. From precision engineering and automated construction techniques to real-time monitoring and environmental protection, these advancements are revolutionizing the industry. 🚧🔍

As technology continues to evolve, the pipeline industry will likely see even more dramatic improvements in construction practices, safety measures, and environmental stewardship. By embracing these technological advancements, the industry can meet the growing demand for energy while minimizing risks and impacts on communities and the environment. 🌟🔧

[samuel67m]

Exploring the Future of Transportation: The Integration of Wings Engine with Smart Traffic

In today’s urban life, transportation is one of the daily challenges that everyone faces. Whether it’s the morning rush hour traffic or the evening congestion, traffic issues are always a headache. This is why the emergence of smart traffic has become so crucial. Smart traffic leverages advanced technology and data analysis to optimize traffic flow, reduce congestion, and improve road safety. At the heart of this system lies GIS (Geographic Information System) technology, which is one of the most essential pieces of the puzzle behind smart traffic.

GIS technology can accurately display the city's roads, bridges, traffic signals, and even every sidewalk on a 3D map. It’s not just about putting a map on a computer screen, but rather bringing the entire city to life. Every vehicle, pedestrian, and even the status of traffic lights can be displayed in real-time within the GIS. This enables city managers and traffic engineers to monitor and analyze urban traffic conditions from a global perspective. Where is the traffic jam, where has an accident occurred, which intersection's traffic light needs adjustment—these questions can all be quickly answered and addressed within the GIS system.

When it comes to Wings Engine, it’s simply the perfect fusion of smart traffic and GIS technology. On this platform, the city’s traffic network is no longer just a static map but a dynamic 3D traffic model full of changes. With Wings Engine, city managers can simulate various traffic scenarios, such as how vehicle movement changes under different weather conditions, or how the city’s traffic flow will redistribute after an accident on a certain road segment.

Wings Engine can also assist traffic engineers in predicting and optimizing traffic flow in advance. For instance, by analyzing historical traffic data, it can predict traffic hotspots during certain times or specific events (such as concerts or sports events) and then adjust traffic light timings or set up temporary traffic control measures accordingly. All these operations can be easily completed through Wings Engine's intuitive interface without the need for complex coding.

In summary, the integration of smart traffic with GIS technology is revolutionizing how we manage urban transportation, and Wings Engine is one of the key drivers of this transformation. Through this powerful platform, urban traffic management becomes smarter and more efficient, providing citizens with more convenience and safety in their daily commutes. In the future, as technology continues to advance, the application of Wings Engine in smart traffic will become even more widespread, creating a smoother and more intelligent transportation environment for all of us.

[orogenfood]

Orogen Naturals Multi grain Nutri Cereal Mix: A Balanced Solution for Diabetics

Living with diabetes requires careful attention to diet and nutrition. Finding foods that not only manage blood sugar levels but also provide essential nutrients can be a challenge. However, with Orogen Naturals Multi grain Nutri Cereal Mix, individuals with diabetes have a convenient and balanced solution to support their health goals.

Crafted with a combination of wholesome grains and thoughtfully selected ingredients, Orogen Naturals Multi grain Nutri Cereal Mix for diabetics is designed to offer a delicious and nutritious option for individuals managing diabetes. Here’s why it’s a smart choice for those looking to maintain stable blood sugar levels while enjoying a flavourful and satisfying snack or meal addition.

Balanced Nutritional Profile:

Orogen Naturals Multigrain Nutritional Mix is packed with essential nutrients, including fiber, protein, vitamins, and minerals. This balanced nutritional profile helps support overall health and well-being, making it an ideal choice for individuals with diabetes who need to monitor their intake of carbohydrates, fats, and sugars.

Low Glycemic Index Ingredients:

The ingredients in Multi grain Nutri Cereal Mix for diabetics are carefully selected to have a low glycemic index (GI), which means they are less likely to cause spikes in blood sugar levels. By choosing foods with a lower GI, individuals with diabetes can better manage their condition and reduce the risk of complications associated with high blood sugar.

Wholesome Ingredients:

Orogen Naturals takes pride in sourcing high-quality, natural ingredients for its products. The Multigrain Nutritional Mix is no exception, featuring a blend of nutritious grains such as oats, barley, quinoa, and millets. These wholesome ingredients not only provide energy but also contribute to a feeling of fullness and satisfaction after consumption.

Convenience:

Living with diabetes often involves careful planning and preparation when it comes to meals and snacks. Orogen Naturals Multigrain Nutritional Mix provides a convenient option for on-the-go nourishment. Whether at home, work, or on the road, individuals can easily enjoy the benefits of this nutritious mix without compromising on taste or quality.

Satisfying Flavor:

Beyond its nutritional benefits, Orogen Naturals Multigrain Nutritional Mix is deliciously flavourful, offering a satisfying taste experience with every bite. Whether you prefer a hint of sweetness or a savory crunch, this mix delivers on taste without the need for added sugars or artificial ingredients.

Orogen Naturals, diabetic and pre-diabetic instant food manufacturer and supplier in Hyderabad has come up with Multigrain Nutritional Mix, which is a smart choice for individuals with diabetes who seek a convenient, balanced, and delicious option to support their dietary needs. With its carefully crafted blend of wholesome ingredients, low glycaemic index, and versatile usage, this nutritional mix makes it easier than ever to enjoy snacks and meals while managing blood sugar levels effectively.

[writerblogs]

Global Smart Agriculture Solution Market Is Estimated To Witness High Growth Owing To Increasing Demand for Precision Farming and Technology Integration

The global Smart Agriculture Solution market is estimated to be valued at US$ 18,975.7 Mn in 2019 and is expected to exhibit a CAGR of 11.2% over the forecast period 2020-2027, as highlighted in a new report published by Coherent Market Insights. A) Market Overview: Smart Agriculture Solutions are technological solutions designed for the farming sector to enhance agricultural practices and optimize productivity. These solutions include a range of technologies such as precision farming, sensor-based monitoring, livestock monitoring, and drone-enabled agriculture, among others. The need for these products arises from the increasing demand for higher agricultural yields, efficient resource utilization, and effective crop management. Smart Agriculture Solutions offer numerous benefits such as improved crop quality, reduced labor costs, optimized water management, and enhanced sustainability. B) Market Key Trends: One key trend observed in the Smart Agriculture Solution Market is the increasing adoption of precision farming techniques. Precision farming involves the use of modern technologies such as GPS, GIS, remote sensing, and data analytics to monitor and manage crop production more precisely and effectively. This technology enables farmers to make informed decisions regarding crop planting, fertilization, irrigation, and pest control. The integration of precision farming techniques with other smart agriculture solutions allows farmers to optimize their resources, increase productivity, and minimize wastage. For example, with the help of GPS-based guidance systems, farmers can precisely steer their machinery during cultivation, reducing overlap and avoiding damage to crops. Additionally, sensor-based monitoring systems provide real-time data on soil conditions, temperature, humidity, and nutrient levels. This data enables farmers to make timely adjustments to irrigation and fertilization schedules, leading to improved crop yields and resource efficiency. C) PEST Analysis: - Political: Governments worldwide are increasingly recognizing the importance of sustainable agriculture and are implementing policies and regulations to promote the adoption of smart agriculture solutions. D) Key Takeaways: - The global Smart Agriculture Solution market is expected to witness high growth, exhibiting a CAGR of 11.2% over the forecast period, due to increasing demand for precision farming and technology integration. - North America is the fastest-growing and dominating region in the Smart Agriculture Solution market, attributed to advanced farming practices, strong technological infrastructure, and government initiatives for sustainable agriculture. - Key players operating in the global Smart Agriculture Solution market include Dirt Road Data, Inc., AgJunction LLC, Iteris, Inc., Site-Specific Technology Development Group, Inc., CropMetrics LLC, Trimble Navigation Ltd., Agribotix LLC, AgEagle Aerial Systems Inc., Granular, Inc., AgriSight, Inc., and SemiosBio Technologies Inc. In conclusion, the global Smart Agriculture Solution market is driven by the increasing need for precision farming techniques and technology integration in the agricultural sector. These solutions offer numerous benefits such as improved productivity, resource optimization, and environmental sustainability. With advancements in technology and favorable government initiatives promoting sustainable agriculture, the market is expected to witness significant growth in the coming years.

[yourabhi123world-blog]

Smart Gas Market worth 21.75 Billion USD by 2022

The report "Smart Gas Market by Device (AMR & AMI Meters), Solution (GIS, SCADA, Asset Condition Monitoring and Performance Management, MDM, Outage Management & Remote Monitoring), Service (Consulting, Deployment, & Managed) and Region - Global Forecast to 2022", The smart gas market size is expected to grow from USD 11.25 Billion in 2017 to USD 21.75 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 14.1% during the period of 2017–2022. The major drivers for upsurge in demand for the smart gas market include increasing global energy demand leading to the adoption of sophisticated technologies and replacement of aging infrastructure driving the investment in the smart gas market.

Browse 75 market data tables and 72 figures spread through 143 pages and in-depth TOC on "Smart Gas Market by Device (AMR & AMI Meters), Solution (GIS, SCADA, Asset Condition Monitoring and Performance Management, MDM, Outage Management & Remote Monitoring), Service (Consulting, Deployment, & Managed) and Region - Global Forecast to 2022"

https://www.marketsandmarkets.com/Market-Reports/smart-gas-management-market-237135778.html

The remote monitoring solution is expected to grow at the fastest rate in the smart gas market during the forecast period

The remote monitoring solution for gas utilities deals with remotely controlling the essential types: hardware & software, such as Programmable Logic Controller (PLC), Human Machine Interface (HMI), & Supervisory Control and Data Acquisition (SCADA) systems. The solution has the ability to track asset performance, which provides real-time data during gas operations. Factors, such as production time, leakage rate, energy usage, and climatic conditions can all be collected, analyzed, & presented to the responsible personnel, in terms of performance data and ability to control data, such as remotely shutting off gas operations.

Automatic Meter Reading (AMR) meter is estimated to have the largest market share during the forecast period

AMR meters are capable of capturing, storing, and transmitting meter data to the main server. Backed by the remote monitoring feature of AMR meters, the functionalities of AMR meters have expanded from billing to events alarms, such as tamper, leak detection, flow monitoring, demand forecasting, demand response management, low battery notification, and remote shutdown.

North America is expected to hold the largest market share in the smart gas market during the forecast period

As per the geographic analysis, the North American region would witness significant growth in the smart gas market over the forecast period, due to massive upcoming projects in the region. North America has the highest installation (over 50%) of AMR meters. During the last few years, numerous utilities in the U.S. have boarded on advanced smart gas schemes, where one of their main objectives is to deploy second-generation advanced metering infrastructure, communication modules, asset management, workforce management, security features, analytics, and Meter Data Management (MDM).

The major vendors covered in the smart gas market for this study include ABB Group (Zurich, Switzerland), Aclara Technologies LLC (Hazelwood, Missouri), Badger Meter, Inc. (Wisconsin, U.S.), Cap Gemini S.A. (Paris, France), CGI Group Inc. (Montreal, Canada),  Diehl Stiftung & Co KG (Nuremberg, Germany), Elster Group GmbH (New Jersey, U.S.), General Electric Company (Massachusetts, U.S.),  IBM Corporation (New York, U.S.) Itron Inc. (Washington, U.S.), Landis+Gyr (Zug, Switzerland), Oracle Corporation (California, U.S.),  Schneider Electric SE (Rueil-Malmaison, France), Sensus (North Carolina, U.S.),  Silver Spring Networks, Inc. (California, U.S.),  and Verizon Communications, Inc. (New York, U.S.).

Download PDF Brochure- https://www.marketsandmarkets.com/pdfdownload.asp?id=237135778              

About MarketsandMarkets™

MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues. Currently servicing 5000 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their painpoints around revenues decisions.

Our 850 fulltime analyst and SMEs at MarketsandMarkets™ are tracking global high growth markets following the "Growth Engagement Model – GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets™ now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets™ is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

MarketsandMarkets’s flagship competitive intelligence and market research platform, "RT" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.

Contact: Mr. Rohan MarketsandMarkets™ INC.  630 Dundee Road  Suite 430  Northbrook, IL 60062  USA : 1-888-600-6441  sales@marketsandmarkets.com

[aracecvliwest]

How IoT can Change Cities Run More Efficiently

One of the excellent things about Internet of Things (IoT) is its capability of solving the most common issues that we have around us and one of them is traffic. And the reason I would like to discuss the potentiality of IoT in optimizing the traffic is because today’s world population and the too many number of vehicles that exist around the globe. This problem even increases when most of the world’s population starts to live urban areas. According to a study, by the year 2030, nearly 60 percent of the global population will live in urban cities.

No matter what city you are living in, you will always face traffic problems around the clock. And this issue becomes even worse when the city’s population and the cars they own increase. Moreover, every country’s city transportation system is getting worse and worse and hence it would be really difficult to think how this issue can be resolved without getting assistance from smarter technology.

The utility of the smart technology like IoT is slowly shifting from mobile apps that enhance quality of life to solving common issues that people face in their day-to-day lives. Now, let’s see how deep IoT can go to solve the most common complex issue of today’s global population- Traffic congestion.

The era of Artificial Intelligence and Sensors First, let’s see how the growth of IoT is rapidly increasing in our environment. Normal virtual assistants like Siri and Alexa for news and data information, cities are turning to smart devices to gather useful data and insights of various constituents essential to effectively serving the needs and requirements of citizens. This sort of low-cost sensors enable effective and efficient ways to monitor and control traffic utilizing real-time information.

The latest developments in machine learning are offering city officials better insights about issues that are facing by urban people and metadata produced by such cutting-edge technologies allow concerned officials to make much more instant and organized decisions.

Smarter cities are trying to adapt these smart technologies and integrate in traffic systems where cars communicate with each other, making the journey from point A to point B safe and secure. In addition, the recent advancements in cloud and edge data centers have significantly reduced the price of data storage, at the same time, making the data instantly available for research and analysis. Big data revolution is changing the way how cities run. Idea Behind Smart Traffic

Here, the basic idea is about connecting “Things” together so that the city’s traffic can get better and efficient. For instance, by connecting cars’ GPS with traffic cameras, the city’s officials can have a better insight and understanding of how to control and manage traffic efficiently. Also, to make it more productive, an SMS can be sent to vehicles’ owners/drivers to warn them about traffic congestion in the route they are heading and help them take another route. The end result will be a better and efficient traffic experience, a significant reduction in the traffic congestion and a safer and secure transportation system.

Internet of Things plays an essential part in this scenario by gathering data from numerous channels like traffic cameras, cars’ GPS, sensors, etc. Such sort of information can be utilized to analyze and understand the traffic patterns and ultimately let us find innovative ways to simplify the most oftenly taken roads and transportation methods. Not just that, connected sensors and detectors can identify dangerous conditions and assistance will be then sent to act instantly. Vehicle drivers will also be notified about such situations to avoid and hence reducing the number of road accidents for a better safety of other commuters.

Solutions that can be implemented to optimize traffic flow and improve the efficiency of the entire traffic and transportation system.

1. Consolidate different sources of traffic data Merging traffic information that is gathered from various channels like traffic lights, cameras, variable message signs (VMSs), telematics, and other sources. All these information sources are collected, normalized, and changed into a static traffic data model. 2. Analyze traffic data

Analyzing data information to offer better and real-time insights about traffic flows, performance, conditions, etc. will assist in optimizing and simplifying the traffic congestion. Correlation with historical data can be run to offer city officials a better insight into the traffic environment. This will help them to instantly set traffic signals or suggest alternative routes that can really help in reducing the traffic congestion. Also, it will commuters better plan their destination paths and travel times.

3. Monitor traffic operations keeping an eye on traffic operations via a centralized management dashboard which gathers data from various geographic areas across the city will help to reduce the traffic congestion in a much better way. This data can be seen on a geospatial map displaying the normal traffic flow and heavy traffic areas to help officials and operators control traffic performance and further simplify their response to various situations.

4. Support the data storage and GIS

City’s transportation system must support the storage and the presentation of GIS (Geographic information system) information for robust and stringent graphical displays in the management system to see things such as traffic volume, density, speed, traffic accidents, etc. In addition, it can show icons for devices which are present over the city like traffic lights, cameras, and other traffic control devices to see their precise data.

The Future of IoT in Controlling Traffic Congestion IoT is already assisting and making our lives better in many ways than we expected. And this is just inception. The real power of IoT in ensuring safe driving is yet to be unleashed as vehicles step towards becoming fully automated and start interacting with things around to make decisions on their own. This can unlock new potentialities and opportunities such as warning drivers from entering into the traffic areas or avoiding collisions. There are various other scenarios where the true potential of IoT and machine learning blend to create new opportunities. Yet we still have a very long way to go to achieve this.

The post How IoT can Change Cities Run More Efficiently appeared first on ReadWrite.

https://ift.tt/2qdfV19

[mariaaklnthony]

How IoT can Change Cities Run More Efficiently

One of the excellent things about Internet of Things (IoT) is its capability of solving the most common issues that we have around us and one of them is traffic. And the reason I would like to discuss the potentiality of IoT in optimizing the traffic is because today’s world population and the too many number of vehicles that exist around the globe. This problem even increases when most of the world’s population starts to live urban areas. According to a study, by the year 2030, nearly 60 percent of the global population will live in urban cities.

No matter what city you are living in, you will always face traffic problems around the clock. And this issue becomes even worse when the city’s population and the cars they own increase. Moreover, every country’s city transportation system is getting worse and worse and hence it would be really difficult to think how this issue can be resolved without getting assistance from smarter technology.

The utility of the smart technology like IoT is slowly shifting from mobile apps that enhance quality of life to solving common issues that people face in their day-to-day lives. Now, let’s see how deep IoT can go to solve the most common complex issue of today’s global population- Traffic congestion.

The era of Artificial Intelligence and Sensors First, let’s see how the growth of IoT is rapidly increasing in our environment. Normal virtual assistants like Siri and Alexa for news and data information, cities are turning to smart devices to gather useful data and insights of various constituents essential to effectively serving the needs and requirements of citizens. This sort of low-cost sensors enable effective and efficient ways to monitor and control traffic utilizing real-time information.

The latest developments in machine learning are offering city officials better insights about issues that are facing by urban people and metadata produced by such cutting-edge technologies allow concerned officials to make much more instant and organized decisions.

Smarter cities are trying to adapt these smart technologies and integrate in traffic systems where cars communicate with each other, making the journey from point A to point B safe and secure. In addition, the recent advancements in cloud and edge data centers have significantly reduced the price of data storage, at the same time, making the data instantly available for research and analysis. Big data revolution is changing the way how cities run. Idea Behind Smart Traffic

Here, the basic idea is about connecting “Things” together so that the city’s traffic can get better and efficient. For instance, by connecting cars’ GPS with traffic cameras, the city’s officials can have a better insight and understanding of how to control and manage traffic efficiently. Also, to make it more productive, an SMS can be sent to vehicles’ owners/drivers to warn them about traffic congestion in the route they are heading and help them take another route. The end result will be a better and efficient traffic experience, a significant reduction in the traffic congestion and a safer and secure transportation system.

Internet of Things plays an essential part in this scenario by gathering data from numerous channels like traffic cameras, cars’ GPS, sensors, etc. Such sort of information can be utilized to analyze and understand the traffic patterns and ultimately let us find innovative ways to simplify the most oftenly taken roads and transportation methods. Not just that, connected sensors and detectors can identify dangerous conditions and assistance will be then sent to act instantly. Vehicle drivers will also be notified about such situations to avoid and hence reducing the number of road accidents for a better safety of other commuters.

Solutions that can be implemented to optimize traffic flow and improve the efficiency of the entire traffic and transportation system.

1. Consolidate different sources of traffic data Merging traffic information that is gathered from various channels like traffic lights, cameras, variable message signs (VMSs), telematics, and other sources. All these information sources are collected, normalized, and changed into a static traffic data model. 2. Analyze traffic data

Analyzing data information to offer better and real-time insights about traffic flows, performance, conditions, etc. will assist in optimizing and simplifying the traffic congestion. Correlation with historical data can be run to offer city officials a better insight into the traffic environment. This will help them to instantly set traffic signals or suggest alternative routes that can really help in reducing the traffic congestion. Also, it will commuters better plan their destination paths and travel times.

3. Monitor traffic operations keeping an eye on traffic operations via a centralized management dashboard which gathers data from various geographic areas across the city will help to reduce the traffic congestion in a much better way. This data can be seen on a geospatial map displaying the normal traffic flow and heavy traffic areas to help officials and operators control traffic performance and further simplify their response to various situations.

4. Support the data storage and GIS

City’s transportation system must support the storage and the presentation of GIS (Geographic information system) information for robust and stringent graphical displays in the management system to see things such as traffic volume, density, speed, traffic accidents, etc. In addition, it can show icons for devices which are present over the city like traffic lights, cameras, and other traffic control devices to see their precise data.

The Future of IoT in Controlling Traffic Congestion IoT is already assisting and making our lives better in many ways than we expected. And this is just inception. The real power of IoT in ensuring safe driving is yet to be unleashed as vehicles step towards becoming fully automated and start interacting with things around to make decisions on their own. This can unlock new potentialities and opportunities such as warning drivers from entering into the traffic areas or avoiding collisions. There are various other scenarios where the true potential of IoT and machine learning blend to create new opportunities. Yet we still have a very long way to go to achieve this.

The post How IoT can Change Cities Run More Efficiently appeared first on ReadWrite.

https://ift.tt/2qdfV19

[jeanshesallenberger]

How IoT can Change Cities Run More Efficiently

One of the excellent things about Internet of Things (IoT) is its capability of solving the most common issues that we have around us and one of them is traffic. And the reason I would like to discuss the potentiality of IoT in optimizing the traffic is because today’s world population and the too many number of vehicles that exist around the globe. This problem even increases when most of the world’s population starts to live urban areas. According to a study, by the year 2030, nearly 60 percent of the global population will live in urban cities.

No matter what city you are living in, you will always face traffic problems around the clock. And this issue becomes even worse when the city’s population and the cars they own increase. Moreover, every country’s city transportation system is getting worse and worse and hence it would be really difficult to think how this issue can be resolved without getting assistance from smarter technology.

The utility of the smart technology like IoT is slowly shifting from mobile apps that enhance quality of life to solving common issues that people face in their day-to-day lives. Now, let’s see how deep IoT can go to solve the most common complex issue of today’s global population- Traffic congestion.

The era of Artificial Intelligence and Sensors First, let’s see how the growth of IoT is rapidly increasing in our environment. Normal virtual assistants like Siri and Alexa for news and data information, cities are turning to smart devices to gather useful data and insights of various constituents essential to effectively serving the needs and requirements of citizens. This sort of low-cost sensors enable effective and efficient ways to monitor and control traffic utilizing real-time information.

The latest developments in machine learning are offering city officials better insights about issues that are facing by urban people and metadata produced by such cutting-edge technologies allow concerned officials to make much more instant and organized decisions.

Smarter cities are trying to adapt these smart technologies and integrate in traffic systems where cars communicate with each other, making the journey from point A to point B safe and secure. In addition, the recent advancements in cloud and edge data centers have significantly reduced the price of data storage, at the same time, making the data instantly available for research and analysis. Big data revolution is changing the way how cities run. Idea Behind Smart Traffic

Here, the basic idea is about connecting “Things” together so that the city’s traffic can get better and efficient. For instance, by connecting cars’ GPS with traffic cameras, the city’s officials can have a better insight and understanding of how to control and manage traffic efficiently. Also, to make it more productive, an SMS can be sent to vehicles’ owners/drivers to warn them about traffic congestion in the route they are heading and help them take another route. The end result will be a better and efficient traffic experience, a significant reduction in the traffic congestion and a safer and secure transportation system.

Internet of Things plays an essential part in this scenario by gathering data from numerous channels like traffic cameras, cars’ GPS, sensors, etc. Such sort of information can be utilized to analyze and understand the traffic patterns and ultimately let us find innovative ways to simplify the most oftenly taken roads and transportation methods. Not just that, connected sensors and detectors can identify dangerous conditions and assistance will be then sent to act instantly. Vehicle drivers will also be notified about such situations to avoid and hence reducing the number of road accidents for a better safety of other commuters.

Solutions that can be implemented to optimize traffic flow and improve the efficiency of the entire traffic and transportation system.

1. Consolidate different sources of traffic data Merging traffic information that is gathered from various channels like traffic lights, cameras, variable message signs (VMSs), telematics, and other sources. All these information sources are collected, normalized, and changed into a static traffic data model. 2. Analyze traffic data

Analyzing data information to offer better and real-time insights about traffic flows, performance, conditions, etc. will assist in optimizing and simplifying the traffic congestion. Correlation with historical data can be run to offer city officials a better insight into the traffic environment. This will help them to instantly set traffic signals or suggest alternative routes that can really help in reducing the traffic congestion. Also, it will commuters better plan their destination paths and travel times.

3. Monitor traffic operations keeping an eye on traffic operations via a centralized management dashboard which gathers data from various geographic areas across the city will help to reduce the traffic congestion in a much better way. This data can be seen on a geospatial map displaying the normal traffic flow and heavy traffic areas to help officials and operators control traffic performance and further simplify their response to various situations.

4. Support the data storage and GIS

City’s transportation system must support the storage and the presentation of GIS (Geographic information system) information for robust and stringent graphical displays in the management system to see things such as traffic volume, density, speed, traffic accidents, etc. In addition, it can show icons for devices which are present over the city like traffic lights, cameras, and other traffic control devices to see their precise data.

The Future of IoT in Controlling Traffic Congestion IoT is already assisting and making our lives better in many ways than we expected. And this is just inception. The real power of IoT in ensuring safe driving is yet to be unleashed as vehicles step towards becoming fully automated and start interacting with things around to make decisions on their own. This can unlock new potentialities and opportunities such as warning drivers from entering into the traffic areas or avoiding collisions. There are various other scenarios where the true potential of IoT and machine learning blend to create new opportunities. Yet we still have a very long way to go to achieve this.

The post How IoT can Change Cities Run More Efficiently appeared first on ReadWrite.

https://ift.tt/2qdfV19

[pattersondonaldblk5]

How IoT can Change Cities Run More Efficiently

One of the excellent things about Internet of Things (IoT) is its capability of solving the most common issues that we have around us and one of them is traffic. And the reason I would like to discuss the potentiality of IoT in optimizing the traffic is because today’s world population and the too many number of vehicles that exist around the globe. This problem even increases when most of the world’s population starts to live urban areas. According to a study, by the year 2030, nearly 60 percent of the global population will live in urban cities.

No matter what city you are living in, you will always face traffic problems around the clock. And this issue becomes even worse when the city’s population and the cars they own increase. Moreover, every country’s city transportation system is getting worse and worse and hence it would be really difficult to think how this issue can be resolved without getting assistance from smarter technology.

The utility of the smart technology like IoT is slowly shifting from mobile apps that enhance quality of life to solving common issues that people face in their day-to-day lives. Now, let’s see how deep IoT can go to solve the most common complex issue of today’s global population- Traffic congestion.

The era of Artificial Intelligence and Sensors First, let’s see how the growth of IoT is rapidly increasing in our environment. Normal virtual assistants like Siri and Alexa for news and data information, cities are turning to smart devices to gather useful data and insights of various constituents essential to effectively serving the needs and requirements of citizens. This sort of low-cost sensors enable effective and efficient ways to monitor and control traffic utilizing real-time information.

The latest developments in machine learning are offering city officials better insights about issues that are facing by urban people and metadata produced by such cutting-edge technologies allow concerned officials to make much more instant and organized decisions.

Smarter cities are trying to adapt these smart technologies and integrate in traffic systems where cars communicate with each other, making the journey from point A to point B safe and secure. In addition, the recent advancements in cloud and edge data centers have significantly reduced the price of data storage, at the same time, making the data instantly available for research and analysis. Big data revolution is changing the way how cities run. Idea Behind Smart Traffic

Here, the basic idea is about connecting “Things” together so that the city’s traffic can get better and efficient. For instance, by connecting cars’ GPS with traffic cameras, the city’s officials can have a better insight and understanding of how to control and manage traffic efficiently. Also, to make it more productive, an SMS can be sent to vehicles’ owners/drivers to warn them about traffic congestion in the route they are heading and help them take another route. The end result will be a better and efficient traffic experience, a significant reduction in the traffic congestion and a safer and secure transportation system.

Internet of Things plays an essential part in this scenario by gathering data from numerous channels like traffic cameras, cars’ GPS, sensors, etc. Such sort of information can be utilized to analyze and understand the traffic patterns and ultimately let us find innovative ways to simplify the most oftenly taken roads and transportation methods. Not just that, connected sensors and detectors can identify dangerous conditions and assistance will be then sent to act instantly. Vehicle drivers will also be notified about such situations to avoid and hence reducing the number of road accidents for a better safety of other commuters.

Solutions that can be implemented to optimize traffic flow and improve the efficiency of the entire traffic and transportation system.

1. Consolidate different sources of traffic data Merging traffic information that is gathered from various channels like traffic lights, cameras, variable message signs (VMSs), telematics, and other sources. All these information sources are collected, normalized, and changed into a static traffic data model. 2. Analyze traffic data

Analyzing data information to offer better and real-time insights about traffic flows, performance, conditions, etc. will assist in optimizing and simplifying the traffic congestion. Correlation with historical data can be run to offer city officials a better insight into the traffic environment. This will help them to instantly set traffic signals or suggest alternative routes that can really help in reducing the traffic congestion. Also, it will commuters better plan their destination paths and travel times.

3. Monitor traffic operations keeping an eye on traffic operations via a centralized management dashboard which gathers data from various geographic areas across the city will help to reduce the traffic congestion in a much better way. This data can be seen on a geospatial map displaying the normal traffic flow and heavy traffic areas to help officials and operators control traffic performance and further simplify their response to various situations.

4. Support the data storage and GIS

City’s transportation system must support the storage and the presentation of GIS (Geographic information system) information for robust and stringent graphical displays in the management system to see things such as traffic volume, density, speed, traffic accidents, etc. In addition, it can show icons for devices which are present over the city like traffic lights, cameras, and other traffic control devices to see their precise data.

The Future of IoT in Controlling Traffic Congestion IoT is already assisting and making our lives better in many ways than we expected. And this is just inception. The real power of IoT in ensuring safe driving is yet to be unleashed as vehicles step towards becoming fully automated and start interacting with things around to make decisions on their own. This can unlock new potentialities and opportunities such as warning drivers from entering into the traffic areas or avoiding collisions. There are various other scenarios where the true potential of IoT and machine learning blend to create new opportunities. Yet we still have a very long way to go to achieve this.

The post How IoT can Change Cities Run More Efficiently appeared first on ReadWrite.

https://ift.tt/2qdfV19

[samuel67m]

Wings Engine: The No-Code 3D Mapping Magic for Smart Cities

As the global urbanization process accelerates, smart cities have become a key strategy for improving city management efficiency and enhancing residents’ quality of life. Amidst this wave, Geographic Information Systems (GIS) technology has played a crucial role, bringing unprecedented changes to urban management. Let’s dive into Wings Engine — a tool that’s making a significant impact in the development of smart cities!

One of the standout features of Wings Engine is its no-code editing capability. Imagine being able to create complex 3D GIS scenes with just simple drag-and-drop and click operations, without writing any complicated code! This not only allows those who are less tech-savvy to easily get started but also significantly boosts work efficiency. Whether it's displaying city terrain, 3D buildings, or real-time data, Wings Engine has got it covered, offering intuitive visual experiences and practical data support for smart city managers.

When it comes to data, one major challenge for smart cities is integrating data from various sources. Here, Wings Engine excels. It supports multiple common GIS data formats, such as TMS, WMS, and WMTS, allowing seamless integration and display of various types of geographic data. What's even cooler is that it can handle real-time data, which is fantastic for applications like traffic management and environmental monitoring. Imagine being able to see real-time data on traffic flow and air quality, making your decision-making process much more informed!

Wings Engine proves its worth across various areas of smart cities. For example, in smart transportation, it enables real-time monitoring of traffic conditions and visualizes road conditions and vehicle flow through 3D maps. This not only helps with traffic scheduling and optimization but also provides critical data support in emergencies. In environmental monitoring, Wings Engine can integrate various environmental data, such as air quality, water quality, and noise levels, allowing city managers to keep track of urban environmental conditions and safeguard public health. When it comes to urban planning, Wings Engine's 3D modeling and visualization capabilities enable planners to assess the effects of different proposals and develop more scientifically-based strategies.

Looking to the future, as smart cities continue to evolve, Wings Engine is set to incorporate more intelligent technologies, such as machine learning and artificial intelligence, to assist city managers in deep data analysis and forecasting. With the proliferation of IoT devices, Wings Engine will also be able to integrate more real-time data sources, providing comprehensive dynamic data support for cities. In summary, Wings Engine is not just a powerful GIS tool; it is a valuable ally for smart cities, offering robust support for sustainable urban development.