A multi-scenario distributed information control system based on the Industrial Internet of Things

Abstract

The invention discloses a multi-scenario distributed informatization control system based on the Industrial Internet of Things, which includes a scene distribution acquisition module, a scene parameter analysis module, a waste processing simulation module, a scene correlation evaluation module, a tracking calibration module and an information management and control platform. The management and control platform adjusts the processing parameters and process environment parameters associated with the comprehensive fault evaluation coefficient greater than the threshold of the fault evaluation coefficient. degree coefficient and the correlation coefficient between each processing procedure, comprehensively evaluate the comprehensive failure evaluation coefficient of each processing procedure affected by the previous processing procedure, and track the processing parameters and processing parameters in each related processing procedure through the numerical value of the comprehensive failure assessment coefficient The process environment parameters are used to optimize the control of post-processing parameters and process environment parameters, and have the characteristics of intelligent and information-based tracking and control.

Description

technical field [0001] The invention belongs to the field of industrial applications, and relates to a multi-scene distributed information control system based on the industrial Internet of Things. Background technique [0002] With the development of the power industry, the demand for product quality and application of electrical equipment is increasing. In order to continuously meet the requirements of the industry, it is necessary to strictly control the manufacturing process of electrical equipment, especially for transformers, which are widely used. , from small household appliances to large power equipment and power transportation, transformers play a vital role. [0003] At present, there are many manufacturing processes of transformers. Once one of the manufacturing processes fails, it will seriously affect the subsequent processing steps of the transformer, greatly reduce the yield of the transformer, and increase the cost. Many manufacturing processes in the manufa...

AI Technical Summary

Problems solved by technology

[0003] At present, there are many manufacturing processes of transformers. Once a fault occurs in one of the manufacturing processes, it will seriously affect the subsequent processing steps of the transformer, and greatly reduce the yield of the transformer, resulting in an increase in cost. Many manufacturing processes in the manufacturing process of transformers are related. And whether each manufacturing process meets the processing requirements is jointly affected by the processing environment parameters and processing parameters, but the existing technology cannot analyze the deviation degree of the processing environment parameters according to the environmental parameters in the product processing process, and thus cannot regulate the processing in the product manufacturing process. At the same time, the existing technology cannot analyze the matching degree between the semi-finished products under each process and the standard qualified semi-finished products under the process, and cannot analyze the degree to which the products under each process are affected by the failure of the previous process, and thus cannot be based on The degree of impact of the failure screens out the processing parameters and process environment parameters in the relevant processing procedures for control. As a result, once a certain processing procedure fails, it will seriously affect the continuation of the subsequent process steps, resulting in low product manufacturing yield, high processing cost and application To the problem of poor durability in different scenarios