State monitoring and analysis method of power transmission and transformation equipment based on IOT technology

Abstract

The invention discloses a state monitoring and analysis method of power transmission and transformation equipment based on an IOT technology. Analysis is carried out by adoption of a state monitoringand analysis system of the power transmission and transformation equipment based on the IOT technology. The analysis method comprises the steps of: forming the state score of single equipment, whereinthe state score is obtained by comparing the state monitoring quantity with the monitoring standard; after forming the state score of the single equipment, forming the state score of a single interval; and, performing state score sorting on all intervals of equipment management units, simultaneously, giving equipment problems possibly existing in problematical intervals, and performing maintenance arrangement according to system suggestions by the equipment management units, wherein the score segment and the processing suggestion can be automatically determined by the equipment management units. By means of the state monitoring and analysis method of the power transmission and transformation equipment based on the IOT technology in the invention, the equipment state management level is effectively increased; unnecessary manpower and material resources are reduced; and the practicability is very high.

Description

technical field [0001] The invention relates to a method for state monitoring and analysis of power equipment, in particular to a method for state monitoring, analysis and decision-making of power transmission and transformation equipment in substations, and belongs to the field of state monitoring and fault diagnosis of power transmission and transformation equipment in power systems. Background technique [0002] Power transmission and transformation equipment is the core equipment of the power system, and its health directly affects the stable operation of the power system. The maintenance of power transmission and transformation equipment is one of the key points of the power industry. At present, the common maintenance methods include post-event maintenance, regular maintenance and condition maintenance. In the current power system, regular maintenance is still the main method, and condition-based maintenance is coordinated. The main disadvantage is that regular mainten...

AI Technical Summary

Problems solved by technology

[0004] 1) The equipment status information obtained by the online monitoring device is not comprehensive enough. The information often comes from a single or several sensors, and only corresponds to a certain type of equipment failure, without obtaining comprehensive equipment status information, which will affect the equipment status evaluation. accuracy

[0005] 2) Even if a number of different status information are selected for different fault types, the source of information is rich, but because the relationship between the online monitoring information is not considered, there is a lack of organic connection between the information, and the comprehensive processing and integration of information has not been realized. Collaborative analysis, which also affects the accuracy of status assessment

[0006] 3) Existing state monitoring data often only take online data, and there are few applications for offline data, so the state evaluation of equipment is not comprehensive and reliable enough

[0007] 4) The current condition monitoring technology is often aimed at a single equipment, without comprehensive consideration of a single compartment or all compartments of the equipment management unit, so the maintenance strategy given is less feasible

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