An industrial Internet of Things system based on edge computing and a data processing method thereof

Abstract

The invention discloses an industrial Internet of Things system based on edge computing, and the system comprises a data collection module, an edge gateway, and a cloud processing platform; the data collection module is used for collecting the original data of a field device; The edge gateway is used for converting the original data into standard data, carrying out real-time analysis on key data in the original data, carrying out real-time intelligent processing on the field equipment according to an analysis result, carrying out classified packaging on the standard data, carrying out protocolconversion on the standard data, and sending the standard data to the cloud processing platform; And the cloud processing platform is used for carrying out data analysis, system monitoring and energymanagement according to the data from the edge gateway, and sending a data analysis result to a corresponding Internet of Things application. Through the edge gateway, the data transmission cost canbe effectively reduced, and the real-time decision and response of the key service can be ensured; By utilizing the powerful management capability of the cloud platform, mass data access is supported,a safe and reliable message processing capability is provided, and enterprises are assisted to integrate value chains and quickly construct innovative Internet of Things services.

Description

technical field [0001] The present invention relates to the technical field of the Internet of Things, in particular, to an edge computing-based industrial Internet of Things system and a data processing method thereof. Background technique [0002] From complex intelligent applications to a wide range of terminal devices, the Internet of Things can be seen everywhere, and the number of connections brought about by it is also growing explosively. More and more industries are using the power of the Internet of Things to improve efficiency and release industrial Great potential for innovation. However, with the development of business and the rapid increase of IoT devices, it is gradually found that cloud computing-based methods cannot meet the actual needs of many scenarios. [0003] The traditional network architecture obviously cannot guarantee the efficient management and real-time data processing of massive terminals and gateways, mainly reflected in: [0004] 1. It is ...

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Problems solved by technology

[0004] 1. It is impossible to manage and support a large number of devices; the Internet of Things has greatly expanded the scale and scope of connections. Some people predict that by 2025, there will be 100 billion connections in the world, and 2 million sensors will be deployed every hour. More than 10 times; including various intelligent terminals and gateway devices such as smart sensors, metering devices and controllers, and even massive applications and data, all require unified management component support

[0005] 2. Lack of fast and flexible local decision-making and response; for fields involving production control or energy security, delay is very fatal; therefore, edge devices are required to process a large amount of data generated from field devices and determine which ones need to be uploaded to the cloud and which ones need to be local processing; it is necessary to effectively reduce the cost of data transmission and ensure real-time decision-making and response of key businesses; however, the production site environment is complex and changeable, and the edge devices are scattered and numerous. Traditionally, frequent visits to the site for manual configuration and The mode of loading application and service components obviously cannot cope with quick production decisions and responses;

[0006] 3. It is impossible to realize the open docking of IoT applications in different industries; IoT solutions that are not integrated with industry business and scenarios are mostly empty talk; business requirements, interfaces, protocols, and standards of different industries vary widely, how to better solve IoT in different industries Application docking has become a practical problem to ensure the landing of IoT applications

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