A method for detecting abnormal temperature of unit equipment

Abstract

The invention relates to a method for detecting abnormal temperature of unit equipment, which includes the following steps: (1) Based on the analysis of historical data of unit equipment, an identification model of abnormal temperature state of unit equipment based on WCA and Shepard interpolation is established, wherein the historical data of unit equipment The data includes the temperature status monitoring data of the unit under different environmental factors and operating conditions; (2) Obtain the environmental parameters of the unit equipment under the current working condition, the operating condition parameters and the corresponding measured temperature values, and store the unit under the current working condition The environmental parameters and operating condition parameters of the equipment are input into the abnormal temperature identification model of the unit equipment to obtain the health standard value output by the model; (3) compare the measured temperature value of the unit equipment under the current working condition with the health standard value, and according to the comparison results Determine the temperature operating status of the unit equipment under the current working conditions. The invention can be widely used in the field of abnormal temperature detection of unit equipment.

Description

technical field [0001] The invention relates to a method for detecting abnormal temperature of unit equipment, in particular to a method for detecting abnormal temperature of unit equipment based on Shepard curved surface and water circulation algorithm. Background technique [0002] During the operation of the unit equipment, due to surface friction, heat radiation and electrical reasons, the variation law of the temperature of the unit components is relatively complicated, and it is difficult to establish a mathematical model for it. In order to obtain the operating temperature status and development trend of unit equipment in time and prevent accidents, it is necessary to fully study the influencing factors of temperature parameters and establish a reasonable and reliable temperature anomaly detection model for unit equipment. [0003] The traditional temperature monitoring alarm value adopts a unified static alarm threshold, which has two defects: (1) There is an alarm o...

AI Technical Summary

Problems solved by technology

[0003] The traditional temperature monitoring alarm value adopts a unified static alarm threshold, which has two defects: (1) The temperature value of the equipment alarms, but it is found that the ambient temperature or the high operating speed of the equipment caused the alarm.

(2) The temperature monitoring value of the equipment has not been alarmed, but the equipment was found to be seriously damaged during the overhaul

However, when applying this method, the model parameter α is usually determined manually, and the best fitting accuracy cannot be obtained.

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