Data acquisition method for acquiring system data based on industrial Internet of Things

Abstract

The invention discloses a data acquisition method for acquiring system data based on the industrial Internet of Things. The method comprises the steps: obtaining the data, needing to be acquired by the system, of a plurality of industrial devices, and at least dividing the plurality of industrial devices into a first type of devices, a second type of devices and a third type of devices according to the purposes of the plurality of industrial devices, collecting, by a plurality of node gateways, data of a plurality of industrial devices of the system and uploading the collected data of the plurality of industrial devices to a platform layer through a base station gateway, and if the platform layer does not receive data of the first type of devices from the base station gateway within a preset time, uploading, by the base station gateway, the data of the first type of devices to the platform layer through a first communication path. According to the data acquisition method disclosed by the invention, the data of a plurality of devices in the system can be acquired, and the data of important devices in the system can be timely and continuously acquired.

Description

technical field [0001] The present disclosure relates to the technical field of the Internet of Things, and in particular to a data acquisition method based on the industrial Internet of Things acquisition system data. Background technique [0002] In the era of the Industrial Internet of Things, digitalization is the trend of the manufacturing industry. To realize digitalization, networking and intelligence in the factory workshop, the first step is to solve the problem of data collection. Therefore, how to efficiently collect data from industrial equipment in the system becomes the key to digital solutions. [0003] In the existing data collection methods, the basic technology for the data collection of industrial equipment is relatively mature. Usually, the data of all industrial equipment is collected on the equipment side, and the data of all industrial equipment is uploaded to the cloud and then uploaded to the cloud. Observe the data flow changes of a single industri...

AI Technical Summary

Problems solved by technology

However, there are still many shortcomings in this data collection method. Unified uploading of all industrial equipment data to the cloud will reduce the timeliness of the data

In addition, unified data transfer to the cloud will also increase the load on the cloud. At the same time, interference from other data cannot be ruled out, making it difficult to collect data from important equipment in a timely manner.

In addition, the combination of different networking methods, communication methods and communication protocols also has certain limitations. If the data of industrial equipment is uploaded to the cloud at a high frequency, the efficiency of data upload will be reduced due to the impact of bandwidth.

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