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Interference environment sensor fault judging and marking method

An environmental sensor and fault judgment technology, applied in the field of sensors, can solve problems such as difficulty in judging sensor faults and data distortion normally

Pending Publication Date: 2017-01-04
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The above-mentioned technical solution has certain limitations on the use environment, especially in the interference environment, the sensor is affected by various interferences on site, and the data distortion phenomenon is relatively serious, because the normal data contains a large amount of interference data
In the case of serious interference, it is difficult to judge the sensor failure normally

Method used

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Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0015] Specific implementation mode 1: In environmental protection fields such as sewage treatment systems, there are many types and quantities of sensors, including the flow rate, temperature, pH value, etc. of sewage and liquid medicine. The sensor data is sent to the industrial control computer through the data acquisition card. A sensor database is pre-established in the configuration software of the computer, and the upper and lower limits of each sensor data are set. The data collected by the sensor is screened by data mapping and comparison, and filtered out. For unqualified data, write qualified valid data into the database, and then count the number of qualified data. According to the number of effective data stored in the database per unit time, compare it with the set target value to judge whether the sensor has failed.

specific Embodiment approach 2

[0016]Embodiment 2: In artificial environments such as central air-conditioning, there are many types and quantities of sensors, including the flow, temperature, and pressure of the heat source side and the air-conditioning side on the water pipe, and the temperature, air volume, and wind pressure of the air sent and returned by the indoor air-conditioner. , cleanliness, CO2 concentration and so on. Interference environmental sensor failure marking method, after the installation of the central air-conditioning system is completed, and all sensor connections are completed, the following steps are performed: a. Use the Oracle database in advance, and the sensor has more than one corresponding maximum effective value and Minimum effective value; b. By using the special data analysis and processing system compiled by VB, compare the collected sensor data with the maximum effective value and minimum effective value of the corresponding sensor in the basic database; c. Sensor data be...

specific Embodiment approach 3

[0017] Embodiment 3: In the field of artificial intelligence such as robots, there are many types and quantities of sensors, including tactile sensors, visual sensors, proximity sensors, and auditory sensors. The following uses the proximity sense as an example to illustrate. Proximity sensors include light sensors, air pressure sensors, ultrasonic sensors, eddy current sensors, etc. The main purpose is to enable the robot to know the proximity of the target (obstacle) during movement or operation, and to move The robot can avoid obstacles, and the operation of the robot can avoid the impact of the claws on the target due to too fast approach speed. Among the many sensors of the robot, the proximity sensor is a relatively important type of sensor. Partial failure of the sensor may still be able to be used barely, but if the failure is too serious, it may lead to more serious consequences. The sensor efficiency calculation method comprises the following steps: a. establishing a...

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Abstract

The invention provides an interference environment sensor fault judging and marking method comprising the steps that a sensor database is established, the data acquired by sensors are firstly compared with the corresponding values in an initial database, the data between the maximum sampling value and the minimum sampling value enter the next link to perform further analysis and judgment, and the data exceeding the range are automatically filtered so as to reduce the data processing volume; and the sensors of which the effective data volume is less than the preset value within unit time are marked as failure and fault sensors. Fault marking comprises the steps that the sensors of which the effective data volume is less than the minimum volume preset value within the unit time are marked as the failure and fault sensors; the sensors of which the effective data volume is greater than the minimum volume preset value and less than a normal volume value within the unit time are marked as partially failed fault sensors; and the sensors of which the effective data volume is greater than the normal volume value within the unit time are marked as qualified sensors. Besides, the invention also discloses the interference environment sensor fault marking method and a partially failed sensor effective rate calculation method.

Description

technical field [0001] The present invention relates to the field of sensor technology, in particular to a method for judging a sensor fault in an interference environment, a method for marking a sensor fault in an interference environment, and a method for calculating the efficiency of a partial failure sensor. Background technique [0002] When the sensor works for a long time, it is more prone to failure. In order to ensure the normal operation of the equipment or system, the sensor must be checked and calibrated frequently to detect sensor failures in time so that appropriate measures such as replacement and calibration can be taken. However, sensor failures are often concealed and deceptive, and are sometimes difficult to find. [0003] The sensor fault judgment marking method, in addition to the conventional manual regular calibration, on May 6, 2015, the "Sensor Fault Judgment System and Method" published by Cao Zhiwei, Liang Xiaohui, etc. of the Institute of Chemical...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01D18/00
CPCG01D18/00
Inventor 谢敏刘小波徐瑶陈宏雷超余志禹丽娥
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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