Sensor numerical value anomaly identification method, device and equipment and storage medium

Abstract

The embodiment of the invention relates to the field of sensors, in particular to a sensor numerical value anomaly identification method, device and equipment and a storage medium. The sensor numerical value anomaly identification method comprises the following steps: acquiring a plurality of measurement point sets of a sensor in a first preset time period, wherein each measurement point comprisesa measurement time point and a measurement value corresponding to the time point; determining an abnormal measurement point from a plurality of measurement point sets; judging whether the measurementpoint behind the abnormal measurement point is abnormal in narrow-amplitude oscillation or not; and if so, determining that the numerical value is abnormal in the predetermined time period. With application of the method provided by the invention, the abnormality of the measured value of the sensor can be determined so that processing can be carried out timely, and false alarm or potential safetyhazards caused by abnormal measured values of the sensor are avoided and the security can be enhanced.

Description

technical field [0001] Embodiments of the present invention relate to the field of sensors, and in particular to a method, device, equipment, and storage medium for identifying abnormal values ​​of sensors. Background technique [0002] In order to ensure safe production in coal mines, personal safety of employees, and prevent accidents in coal mines, it is necessary to install various types of mine sensors in underground mines during coal mine production to monitor methane concentration, carbon monoxide concentration, and temperature in coal mines in real time. etc., and automatically upload the monitored data to the mine monitoring platform and the superior supervision department. The types of mining sensors include methane sensors, wind speed sensors, wind pressure sensors, carbon monoxide sensors, temperature sensors and smoke sensors, etc.; due to various reasons, for example, the sensor itself works for a long time; human error; mining companies actively modify the sen...

AI Technical Summary

Problems solved by technology

The types of mining sensors include methane sensors, wind speed sensors, wind pressure sensors, carbon monoxide sensors, temperature sensors and smoke sensors, etc.; due to various reasons, for example, the sensor itself works for a long time; human error; mining companies actively modify the sensor in order to pursue profits The measurement data of the sensor, modify the measurement data beyond the limit to the normal value to continue production, etc., the measurement value of the sensor will undergo abnormal mutation, and the abnormal measurement value after the mutation cannot reflect the real situation; the abnormal measurement value may be Cause false alarms or cause safety accidents due to delays in normal alarms; the existing technology has no way to determine whether the data of the sensor is abnormal

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