Field control method based on time-sharing control of control right handover

Abstract

The invention provides a field control method based on time-sharing control of control right handover. The method comprises the following steps: 1). model training: keeping a signal path as signal receiving end-field controller-instruction sending end, obtaining an instruction sent by a field controller and data received by the field controller, training an environmental model according to the obtained sent instruction and the received data, and executing the next step if the training of the environmental model is completed, otherwise, repeating the step; 2). strategy adjustment; and 3). interventional control. According to the field control method provided by the invention, an online training base can be provided in a three-stage progressive handover manner, so that an enterprise can effectively reduce the input of manpower and material resources and shorten the research and development cycle, and the handover of control right from the traditional field controller to a machine learning insertion controller can be completed smoothly.

Description

technical field [0001] The invention relates to a field control method based on time-sharing control and transfer of control rights. Background technique [0002] At present, the application of machine learning in industrial control is gradually increasing. However, the biggest problem that local enterprises generally encounter at present is the severe lack of data, which makes it difficult to complete the training of machine learning controllers. A compromise solution is to divide it into two phases , first collect data for a period of time, and complete the code of the machine learning controller at the same time, and then perform training based on the collected small amount of data to obtain a first-stage machine learning controller, put it into use, and continue to collect data for a long time during use. Then retrain the machine learning model (and adjust the algorithm) based on all the collected data to obtain the second-stage machine learning controller, which is used...

AI Technical Summary

Problems solved by technology

However, using this method, firstly, the R&D cycle is too long, and secondly, the investment in manpower and material resources is extremely high. For enterprises, it is better to directly hire operators

[0003] In order to solve the above problems, the company designed the following figure 1 Shown is a field control system based on time-sharing control transfer of control rights (another patent has been applied for). This field control system can guarantee the control rights from the traditional field controller to the controller with machine learning as the control core from the hardware. Handover can be a gradual replacement process. However, the existing technology does not provide technical enlightenment on how to complete the handover of control rights.

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