Equipment control method and device based on block chain and server

Abstract

The embodiment of the invention provides an equipment control method and device based on a block chain and a server. The method comprises the following steps of sequentially determining equipment control strategies corresponding to current equipment state information according to a node participation sequence of each participation node through a pre-established block chain, determining first project type information of a control project type matched with the equipment state information in a relative equipment control strategy; according to the equipment control association condition between the control item type nodes matching the equipment state information, determining a strategy execution process control curve; further determining second project type information; and after the second project type information is combined, determining a target equipment control strategy from the equipment control strategies to carry out equipment control, so that the integral state expression of theequipment control state and the differential expression between different project types are effectively considered, and the control deviation in the actual equipment control process is reduced.

Description

technical field [0001] The present application relates to the technical field of equipment control, in particular, to a block chain-based equipment control method, device and server. Background technique [0002] In the traditional equipment control scheme, it is usually based on the equipment control state to adjust and control the parameters of a certain item type in the equipment to be controlled, but the above scheme is only a simple correspondence matching or deep learning matching when matching the equipment control strategy. It does not take into account the overall state expression of the equipment control state, nor does it consider the differential expression between different item types, resulting in the actual equipment control process not only causing control deviations, but also learning each control process by mistake, resulting in more and more deviations. obvious. Contents of the invention [0003] In order to at least overcome the above-mentioned deficie...

AI Technical Summary

Problems solved by technology

[0002] In the traditional equipment control scheme, it is usually based on the equipment control state to adjust and control the parameters of a certain item type in the equipment to be controlled, but the above scheme is only a simple correspondence matching or deep learning matching when matching the equipment control strategy. It does not take into account the overall state expression of the equipment control state, nor does it consider the differential expression between different item types, resulting in the actual equipment control process not only causing control deviations, but also learning each control process by mistake, resulting in more and more deviations. obvious

Images