Intelligent self-learning system for electromechanical equipment

Abstract

The invention relates to an intelligent self-learning system for electromechanical equipment. The intelligent self-learning system is connected with the electromechanical equipment and used for auxiliary analysis of operation of the electromechanical equipment. The intelligent self-learning system comprises a data collecting unit, an operation model self-learning system and a standard model data base, wherein the data collecting unit is connected with the electromechanical equipment and collects multiple items of parameters in operation of the electromechanical equipment in real time; the operation model self-learning system is connected with the data collecting unit, builds a standard operation model according to the multiple stems of parameters in operation of the electromechanical equipment and refreshes the standard operation model; the standard model data base is connected with the operation model self-learning system and stores the standard operation model after each refreshing. The intelligent self-learning system can collect all items of information data in operation of the electromechanical equipment and obtain the standard operation model of the electromechanical equipment to achieve the self-learning function on the basis of the collected data, so that the intelligent self-learning system can provide reference for research personnel in the process of analyzing the operation situation and faults of the electromechanical equipment and is beneficial to performing parameter preset and analysis on the electromechanical equipment.

Description

technical field [0001] The invention relates to a system for collecting and assisting in analyzing the operation information of electromechanical equipment. Background technique [0002] When existing electromechanical equipment fails during operation, fuses or air switches are usually used for protection. Since the fault signal will not be known in advance, it will cause abnormal shutdown of electromechanical equipment at this time, especially for some special equipment, such as elevators, whose abnormal shutdown will bring great unsafe factors, so the fault research is carried out is of great significance. However, because electromechanical equipment is often not equipped with a system to record and monitor its operating conditions, and the phenomenon before the failure is often not reproduced, it is difficult for R&D personnel to analyze electromechanical equipment. At the same time, although most of the existing electromechanical equipment is controlled by computer, it...

AI Technical Summary

Problems solved by technology

However, because electromechanical equipment is often not equipped with a system to record and monitor its operating conditions, and the phenomenon before the failure is often not reproducible, it is difficult for R&D personnel to analyze electromechanical equipment.

At the same time, although most of the existing electromechanical equipment is controlled by computer, for complex equipment, its operating parameters are still difficult to accurately set in advance

Images