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Everything You Need to Know about Smart Sensor Edge Technology

What is Edge Computing?

We are in the midst of significant transformation regarding the way we handle and manage data,, thanks to the digitization of industries. The transition is so compelling that it is called Industry 4.0. From the First Industrial revolution which was spurred by the use of steam powered engines, to the second industrial revolution when steam was replaced by water and electricity enabling mass production, the fourth industrial revolution or Industry 4.0 will take what was started in the third which was characterized by personal computer and the internet besides information and communication technology (ICT) and enhance it with smart and autonomous systems fueled by data and machine learning With the advent of Industry 4.0, we all have heard about the word “Edge” and how it is impacting this era of IoT Technology. Organizations around the world use cloud computing as a centralized server. Generally, it is a distant server, which increases the frequency of communications; this becomes a limitation for applications that requires real-time responses.

 This limitation has given rise to edge computing in which nodes can be centralized, distributed, or at the end of the network (the edge), allowing for a more distributed processing of the information generated by peripheral devices. This technology allows computation at the network edge so that computing happens near data sources. In edge computing, the end device not only consumes data but also produces data. It works on downstream data on behalf of cloud services and upstream data on behalf of IoT services.

 How to Use Edge Computing for Smart Sensors

The image above demonstrates how to use edge technology; the devices and sensors interact directly with the end user. Although some devices can send real-time data, not all devices have that capacity. In that case, they send information to the Edge infrastructure. Edge infrastructure is the distributed data centers which provide real-time data analysis, visualization filtering, and optimization. Since they are located closer to the end user, they perform a lot of calculations for a large volume of data. With this capability, the edge reduces data flow and the costs of using cloud services as well as reducing end user response time and latency.

 Edge Computing Applications for Smart Sensor

Edge computing devices can be used for a variety of applications, including the following:

Health: Edge technology can be used to monitor devices in the health industry.

Remote Monitoring: Collecting and analyzing data from sensors and other field devices, remote monitoring provides industries with insight and visibility into the performance of their machines, processes, and people. Even sensor data can be accessed in real time from any location.

Predictive Maintenance:- Edge computing, coupled with AI/ML algorithms, enables users to more accurately anticipate when machine maintenance will be required based on real-time data from the machine itself.

 Real Examples of Edge Device Application for Smart Sensors

Intelligent edge terminal units provide multiple networks, including industry-standard communication networks; that way, you can connect your existing and new sensors to a single device. The edge device transforms data on as per use case basis. It sends raw and transformed data to the public or on premise IOT platform for various visualization and analytics requirements.

 The Intelligent Edge Platform Transforms Data into Actionable Intelligence

The Intelligent Edge terminal unit provides data transformation using Python, Node RED, or Flowchart-based programming. It transports raw or transformed data using secured MQTT/HTTP protocols via GSM/4G/Ethernet or Wi-Fi to the IoT Platform in a public cloud or datacentre.   Want to know more about Intelligent Edge IoT Platform? Click the link or e-mail us at ankush.bose@iotfynow.com to schedule a demo of the platform.

 Tags:

Edge IoT Platform

Smart Sensor

Artificial Intelligence (AI) Solutions & Services

Industrial IoT Solutions

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Six must have functionalities in any Edge IoT Platform

Intelligent Edge IoT Platforms much have certain functionalities that are critical for any successful IoT implementation. IoT solutions provide visibility on how your assets and processes are performing.  They use real-time sensor data to get insights into your plant’s performance that help answer “what if” scenarios for various stakeholders.   

 Let us first start with a quick review of the traditional approach to monitoring and control of processes and machines.  PLCs/RTUs are typically used for this purpose today.  PLCs/RTUs are purpose-built hardware for controlling a machine. PLCs/RTUs are not built for 1) collecting sensor data using various industry wireless interfaces (Zigbee/BLE) and cannot handle wired interfaces such as Video feeds and 2) Transform the ingested data before transporting it into an IoT application using secured communication protocol over GSM/GPRS/4G/Wifi. Hence you need a system that was designed with IoT in mind.

 First the intelligent edge IoT hardware should be designed for collecting sensor data at scale, transforming it into actionable intelligence with a powerful on-board processor with support for high-level and general-purpose programming languages such as Python, Flow chart programming, Node RED and others.

 Edge computing pushes intelligence, data processing, analytics, and communication capabilities to where the data originates. It enables latency-sensitive computing, offers greater business agility through better control and faster insights, lowers operating expenses, and results in a more efficient network bandwidth utilization.

 Here are six must have Edge IoT Platform functionalities needed for any successful IOT project implementation. Please feel free to add to my list — or challenge it — in the comments

 Six must have Edge IoT Platform functionalities:

Connectivity     to Machines:  Various on-board Wireless (Wifi, ZigBee,     LE, 4G) and Wired (RS485, High speed Ethernet, POE) communication options     with industry standard protocols (Modbus TCP, DNP3.0, OPC DA, UA) to     connect sensor data or PLC/DAQ systems. 

Data     Integration & Transformation- Raw data can be transformed     using Python, Node RED or Flowchart based programming at the Edge.

 Store     & Forward – to store data in the memory in the event of     communication network failure or intermittent network.

 Transport     Raw/Transformed data – Secured data transfer to the     cloud/data centre using secured MQTT/HTTP Protocols.

  One      view of Edge device fleet uptime, device health, resource usage,      security, and alarm conditions.

OTA      (Over the Air) Firmware upgrade

 Modular,     Scalable, Simple to configure: Integrate with customer’s     choice of IoT Platform (AWS/Azure/Google/PTC)

 Want to find out more about our intelligent Edge IoT Platform?  Write us at prashant.kapadia@IoTfyNow.com to schedule a private demo of our platform and get a trial account to test it for yourself.

 Tags:

Edge Computing Services USA

Data & Analytics Services USA

IoT Consulting Services USA

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