Discrete data acquisition method and system, cloud server and edge computing end

Abstract

The invention belongs to the technical field of big data, and discloses a discrete data acquisition method and system, a cloud server and an edge computing end, and the method comprises the steps: receiving configuration information by the edge computing end, and classifying and integrating the configuration information according to a memory region to which PLC signals belong, so that the PLC signals belonging to the same memory region type are classified into one class; writing the information of the PLC memory area to be collected into the edge computing memory, reading the corresponding information during collection, executing the circular scanning of the corresponding PLC memory area, writing the information into the message queue, reading the data of the message queue during operation processing, processing the signal logic to obtain a processing result, and uploading the processing result. The method has the beneficial effects that the discrete signal points to be collected are classified by the edge computing end according to the PLC memory, the collection efficiency is improved by the classified collection, and the collection and calculation separation is realized by using the message queue, so that the operation accuracy is ensured, and the shutdown and production halt caused by operating the field PLC are also avoided.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a discrete data collection method, system, cloud server and edge computing terminal. Background technique [0002] At present, in industrial big data processing, data collection is the key. Data collection requires high real-time, validity, and accuracy. The data required for big data analysis is diverse and may be distributed in different PLC memory areas. , in the process of acquisition, it is necessary to access and scan different memory areas, and at the same time, it is necessary to perform logical operations on the signal values ​​of different data areas, and store the results in the database. [0003] There are two acquisition methods in the prior art. The first acquisition method uses acquisition software. Most of the acquisition software needs to continuously scan and read the data of each area according to the configured PLC data storage area number. When it is large,...

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Problems solved by technology

[0003] There are two acquisition methods in the prior art. The first acquisition method uses acquisition software. Most of the acquisition software needs to continuously scan and read the data of each area according to the number of the configured PLC data storage area. When large, often require a long scan load and scan cycle

The second data acquisition method needs to program and process the operation logic in the programmable controller. First, the discrete signal points are processed in the programmable controller and concentrated in the same memory area. The acquisition software only needs to read the same area each time, saving the acquisition time. Although the collection efficiency is high, the problem is that it needs to be programmed and downloaded in the programmable controller, and it often needs to be shut down to do it. The time required for program debugging and iteration is often long, which has a great impact on the normal production site. Considering the safety of production tasks and production procedures, customers have resistance

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