Internet of things data acquisition system and method

Abstract

The invention discloses an Internet of things data acquisition system. The system comprises a client, a server, at least one Internet of things device and at least one industrial control device, wherein the client is used for generating acquisition information according to input information of a data element to be monitored and sends the acquisition information to the corresponding Internet of things device through the server; the acquisition information comprises a data element acquisition table; and the Internet of things device is used for acquiring a data element value in the corresponding industrial control device according to the data element acquisition table. Correspondingly, the invention further discloses an Internet of things data acquisition method. By use of the system and method provided by the embodiments of the invention, the data acquisition efficiency can be improved, and user experience is improved.

Description

technical field [0001] The present invention relates to the technical field of industrial internet of things, in particular to an internet of things data acquisition system and method. Background technique [0002] In the existing technology, there are usually two ways for IoT devices to collect data from industrial control devices: one is that industrial control devices actively send data to IoT devices, and the IoT devices upload the data to the server; the other is IoT The device actively requests the data of the industrial control device according to the data acquisition protocol. [0003] However, the above-mentioned first data collection method is only suitable for scenarios where the amount of data is relatively small and does not require logical processing of data by IoT devices, and its application is very narrow. For the above-mentioned second data collection method, since different industrial control devices usually need to write different user programs for IoT d...

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Problems solved by technology

[0003] However, the above-mentioned first data collection method is only suitable for scenarios where the amount of data is relatively small and does not require logical processing of data by IoT devices, and its application range is very narrow.

For the above-mentioned second data collection method, since different industrial control devices usually need to write different user programs for IoT devices to collect data, writing user programs requires certain programming skills, usually requiring technology from IoT device manufacturers. It is completed by personnel, so the workload and labor cost are increased; secondly, the amount of data that users need to collect and the collection mode are often changed, and each time they need to contact the IoT device manufacturer to cooperate with modifying the user program, which is time-consuming and cumbersome, and the user experience is not good ; Finally, in order to meet the needs of many users to update and maintain user programs, IoT device manufacturers need to invest huge labor costs

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