Intelligent automatic repairing method and apparatus for multi-parameter environmental monitoring device

Abstract

The embodiment of the invention relates to an intelligent automatic repairing method and apparatus for a multi-parameter environmental monitoring device. The method comprises the following steps that:a sensor monitoring module monitors a sensor in a monitoring device; a data analysis module parses working state parameters of a plurality of sensor to obtain actual working life values of the plurality of the sensors; when the actual working life value of each sensor is in a corresponding sensor life threshold value range, a sensor monitoring value corresponding to the working state parameter ofthe sensor is determined; when the sensor monitoring value is abnormal, the data analysis module sends a data recovery command to an intelligent recovery module; the intelligent recovery module determines the abnormal sensor according to the abnormal sensor monitoring value and determines one or more mapping sensors corresponding to the abnormal sensor; normal sensor monitoring values of the mapping sensors are obtained and an alternate sensor monitoring value of the abnormal sensor monitoring value is obtained; and the normal sensor monitoring values and the alternate sensor monitoring valueare sent to a display module.

Description

technical field [0001] The invention relates to the field of data processing, in particular to an intelligent automatic repair method and device for multi-parameter environmental monitoring equipment. Background technique [0002] The usable life calculation of environmental monitoring equipment is one of the key points in the field of environmental monitoring technology. In the traditional equipment life determination method, a pair of life values ​​of equipment sensors under reference conditions are often given, which essentially represent the life characteristics of the equipment sensors at a certain point of service condition, but these The life characteristics do not take into account the actual working environment and specific use and wear conditions of the equipment, nor do they take into account the interaction between the calendar life and fatigue life of the sensor during use in a complex environment. For example, many key components of environmental monitoring eq...

AI Technical Summary

Problems solved by technology

In the traditional equipment life determination method, a pair of life values ​​of equipment sensors under reference conditions are often given, which essentially represent the life characteristics of the equipment sensors at a certain point of service condition, but these The life characteristics do not take into account the actual working environment and specific wear and tear of the equipment, nor do they take into account the interaction between the calendar life and fatigue life of the sensor during use in a complex environment

For example, many key components of environmental monitoring equipment may operate in various harsh environments such as high temperature, rain corrosion, wind and sand, and wear for a long time. The typical failure modes of corrosion, fatigue, and wear are easily reflected in environmental monitoring equipment. out, leading to equipment life may have errors

[0003] Moreover, in the current technology, after the sensors in the environmental monitoring equipment age or fail, the environmental monitoring equipment can no longer obtain effective monitoring data, and the entire environmental monitoring equipment will fail due to individual aging sensors, which is not conducive to The life of the entire environmental monitoring equipment is maximized, and the operating cost of environmental monitoring will be greatly increased

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