Industrial intelligent optimized energy saving system based on diagnosis and analysis of key energy consumption equipment model

Abstract

The invention relates to an industrial intelligent optimized energy saving system based on diagnosis and analysis of a key energy consumption equipment model, belongs to the technical fields of energymanagement and saving, and mainly aims at solving the technical problems that a present system cannot identify equipment faults in real time, lacks man-machine communication, is incapable of notifying a user with the concrete position, reason and solution of a fault, and that equipment operation data analysis is isolated from an equipment maintenance and tour inspection system. The industrial intelligent optimized energy saving system is characterized in that knowledge management is taken as the core, equipment diagnosis and maintenance are carried out cooperatively according to the equipmentoperation state with support of state monitoring, equipment inspection, intelligent diagnosis inference and intelligent maintenance decision support systems, and a fault information collection subsystem, a fault information analysis subsystem and a fault information output subsystem are included. The operation information collection, fault early warning, fault diagnosis and equipment management integrated analysis and diagnosis model is provided, and the intelligent production management platform is created.

Description

technical field [0001] The invention belongs to the technical field of energy management and energy saving, and in particular relates to an industrial intelligent optimization energy saving system. Background technique [0002] At present, energy shortage and environmental pollution have become global problems. Key energy-consuming enterprises are equipment-intensive industries. The production process relies heavily on the normal operation of equipment and economic operation. The operation status of equipment seriously affects the production and operation efficiency of enterprises. The current equipment management mode has defects of purely technical management, resulting in problems such as blind equipment, long-term full (over) load operation, long maintenance time for equipment failure, and inability to make full use of maintenance knowledge and experience. The intelligent optimized energy-saving system launched on the market , can solve some of the above problems of equi...

AI Technical Summary

Problems solved by technology

[0002] At present, energy shortage and environmental pollution have become global problems. Key energy-consuming enterprises are equipment-intensive industries. The production process is highly dependent on the normal operation of equipment and economic operation. The operation status of equipment seriously affects the production and operation efficiency of enterprises.

The current equipment management mode has defects of purely technical management, resulting in problems such as blind equipment, long-term full (over) load operation, long maintenance time for equipment failure, and inability to make full use of maintenance knowledge and experience. The intelligent optimized energy-saving system launched on the market , can solve some of the above problems of equipment management; however, there are still some deficiencies in the energy-consuming equipment management module of the existing energy-saving system, which cannot meet the needs of refined and intelligent operation. The specific performance is as follows:

[0003] First of all, the existing system cannot meet the real-time requirements for equipment fault identification; secondly, the current equipment unit lacks man-machine communication, and most systems can only take self-protection shutdown when a fault occurs, and cannot let users know the cause of the fault. Specific components and causes and methods of elimination; third, in the existing energy-saving system, equipment operation data analysis and equipment maintenance and inspection systems are isolated from each other, and it is impossible to fully guarantee the service life of the equipment under the conditions allowed by the equipment operation, or as far as possible Extend equipment service life

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