What Scenarios Can Edge Computing Gateways Be Applied to?
With the gradual development of the Internet of Things and 5G technology, edge computing has gradually become a new hotspot of the Internet of Things technology. Edge computing moves the computing and storage functions to the edge of the Internet of Things, which realizes the functions of device access, data perception, and intelligent computing, and has the advantages of real-time, low latency, and high bandwidth, thus becoming an important direction of the development of the Internet of Things. As one of the key devices of edge computing, the edge computing gateway realizes data processing functions with low latency, high reliability, and high energy efficiency, and is widely used in intelligent manufacturing, intelligent transportation, smart city, and other fields.
Edge computing gateways refer to a device that moves computing and storage functions to the edge of the network, which can provide computing, storage, and connectivity capabilities for Internet of Things devices, and at the same time, transmit device data and processing results to the cloud or other devices. Through the edge computing gateway, IOT devices can efficiently complete data processing, analysis, and storage, and can achieve real-time monitoring and control, greatly improving the performance and efficiency of the entire IOT system.
Edge computing gateway has many application scenarios, and has different applications in different fields. Here are some typical scenarios:
1. Intelligent manufacturing
In the field of intelligent manufacturing, edge computing gateway is mainly used for real-time monitoring and control of manufacturing process, so as to realize the intelligence and adaptability of equipment. Edge computing gateway can collect sensor data from factory equipment, convert and analyze these data in real-time, and realize anomaly detection and early warning functions through in-depth learning algorithms, thus improving the efficiency and quality of the manufacturing process. In addition, the edge computing gateway can also transfer the machine learning model to the edge computing node to realize local AI reasoning and optimization control, thereby reducing the amount of data transmission in the cloud and improving data security and privacy.
2. Smart city
In the field of smart cities, edge computing gateway is mainly used in traffic management, urban safety, environmental monitoring, and so on. For example, an edge computing gateway can collect vehicle trajectory data through a traffic monitoring system, and optimize road networks by calculating time cost, fuel cost, and other factors, so as to improve urban traffic speed and energy saving and emission reduction efficiency. At the same time, the edge computing gateway can also carry out smoke, fire, and other fire warning and timely alarm, hash to achieve infrared monitoring and video surveillance technology, so as to achieve urban security monitoring and early warning functions. In addition, the edge computing gateway can also monitor the data of urban air pollution, water quality, climate, and other environmental indicators, and realize data sharing and analysis on the cloud and other devices, so as to realize urban environmental monitoring and intelligent governance.
Fig.1
3. Medical care
In the field of health care, the edge computing gateway can collect medical device data to realize medical data processing and analysis, thereby improving medical efficiency and quality. For example, the edge computing gateway can monitor the vital signs data of critically ill patients in real-time, analyze these data through the cloud AI algorithm, and finally output the medical warning and treatment plan based on the patient's status. In addition, the edge computing gateway can also be used for remote maintenance and management of medical equipment to achieve instant repair and troubleshooting functions, thereby ensuring the security and stability of medical equipment.
4. Retail trade
In the field of the retail industry, edge computing gateway can collect and process data through terminal devices, realize fine and intelligent management, and provide consumers with a better shopping experience. For example, an edge computing gateway can realize intelligent identification and tracking of goods through RFID technology, and realize inventory management and commodity circulation data analysis, thus improving the efficiency and profitability of the retail industry. In addition, the edge computing gateway can also analyze the historical consumption data and shopping habits of customers to achieve personalized recommendations and marketing, thereby improving customer loyalty and shopping stickiness.
To sum up, the edge computing gateway is one of the key devices of the Internet of Things, which realizes the functions of device connection, data processing, and analysis, and is widely used in intelligent manufacturing, intelligent transportation, smart city, health care, and other fields. In the future, with the continuous innovation and development of technology, the application scenarios and influence of edge computing gateway will become more and more important, and it will become an important technology to promote the development of the smart economy.
PUSR Edge Computing Gateway M100
The USR-M100 is an intelligent IoT I/O gateway with comprehensive functions like on-board I/O support and RS-485/232/Ethernet interface, is an advanced modular RTU product with a unique hardware and software design, making it an ideal solution for a variety of industrial data acquisition applications. The USR-M100 has a unique mechanical design that reduces the amount of time required for installation and removal, simplifying deployment and maintenance. In addition, the USR-M100 supports Modbus RTU Master protocol for retrieving field site serial data from serial meters and also supports OT/IT protocol conversion. With the ability to convert between multiple protocols, USR-M100 can convert the collected I/O and serial data to protocols suitable for different upper-level software. For example, cloud service via MQTT, SCADA via Modbus TCP, web server via HTTP, and more. This two-in-one design reduces system complexity, the amount of space required in the network topology, and overall installation time. You can also connect your legacy devices to Ethernet, thereby increasing the lifetime of the devices since you can continue using the devices' original protocols.
Fig.2
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