Cloud platform based on custom equipment protocol library and big data architecture

Abstract

The invention discloses a cloud platform based on a custom equipment protocol library and a big data architecture. The cloud platform mainly comprises a cloud platform management program, a storm-based streaming big data processing program, a data presentation program, a docker hub mirror image warehouse, a distributed message queue kafka cluster and a distributed cache redis. The cloud platform has the advantages of being high in universality, automation degree and expandability, simple and convenient to deploy and high in data real-time performance. The cloud platform provides an own equipment library and an own acquisition data transmission protocol, and utilizes a storm-based streaming big data processing program to process and display monitoring data in real time. For an acquisition instrument and a sensor based on RS485 communication, a template language for describing an acquisition command and a return result of the acquisition instrument and the sensor is self-defined by the cloud platform. Besides, the cloud platform also has the capability of automatically deploying and running an acquisition program on the industrial personal computer by configuring information of equipment such as a sensor, an acquisition instrument and the industrial personal computer in a management program of the cloud platform.

Description

Technical field: [0001] The invention relates to the field of bridge health monitoring, in particular to a cloud platform based on a custom device protocol library and a big data architecture. Background technique: [0002] With the development of Internet of Things technology, big data and the Internet, the field of bridge health monitoring has also developed rapidly. At present, a typical bridge monitoring system includes an acquisition layer, a transmission layer, and an application layer. The acquisition layer uses various sensor technologies to acquire dynamic and static data. The transport layer transmits data to the data processing platform. The application layer further displays and processes the data. In the collection layer, data can usually be collected by running the collection program on the industrial computer. However, in the prior art, since sensors of different uses, such as temperature, displacement, and strain sensors, have different data representatio...

AI Technical Summary

Problems solved by technology

[0004] The present invention proposes a cloud platform based on a custom device protocol library and a big data architecture. The cloud platform has the ability to quickly and conveniently support different types of sensors and acquisition instruments from various manufacturers, and solves the initialization of the environment on the industrial computer and the automation of acquisition procedures. The problem of deployment and operation solves the problem of real-time display of monitoring data

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