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An intelligent detection system and method for automatic sensor abnormality

An intelligent detection and sensor technology, applied in the direction of test/monitoring control system, general control system, control/regulation system, etc., can solve the problems of high cost, less abnormal diagnosis of sensors, and uncontrollable flow combination, etc., to achieve high efficiency, Stable and reliable scalability to ensure the effect of safe and effective operation

Active Publication Date: 2022-03-25
KUNMING KSEC LOGISTIC INFORMATION IND
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the existing automated logistics industry, there are mainly two schemes for rapid detection and diagnosis of equipment abnormal states. The first scheme is to use a special detection device installed on the equipment side to detect its main sensors and controllers. The first solution can quickly and accurately determine the failure of a single device, but the cost is high, and it cannot be combined with the control process; the second solution is to provide a dedicated diagnostic method based on the process attributes of each equipment in the automated logistics industry. The internal diagnosis is mainly for a single device or stand-alone device, but for information tracking in the control process, it is less likely to diagnose sensor abnormalities

Method used

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  • An intelligent detection system and method for automatic sensor abnormality
  • An intelligent detection system and method for automatic sensor abnormality
  • An intelligent detection system and method for automatic sensor abnormality

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Effect test

Embodiment 1

[0037] An intelligent detection system for automated sensor anomalies, including:

[0038] Feeding and conveying equipment, connected with the controller, used to receive signals from the controller to start and stop feeding materials;

[0039] Material receiving and conveying equipment, connected with the controller, used to receive signals from the controller to start and stop receiving materials;

[0040] Sensors, installed in the feeding and conveying equipment and receiving and conveying equipment, are used to obtain the current operating status of the equipment and feed back the logistics delivery direction of the equipment, information about the interconnection between equipment and equipment, operating status signals, information occupancy, and fault signals;

[0041] The controller, connected to each sensor and flashing alarm module, is used for abnormal detection based on the status information fed back by each sensor, diagnosing the operation of the equipment and th...

Embodiment 2

[0050] Embodiment 2: an intelligent detection method of an automatic sensor abnormality, comprising the following steps:

[0051] ① According to the equipment list of the automated logistics system project, define the sensor data mapping data table, diagnostic data table, status data table, etc. in the controller according to the equipment number;

[0052] ② Adjust the relevant sensor I / O to dark-on signal, and map it to the data mapping data table according to the function and sequence number;

[0053] ③ Integrate the status and signals of equipment operation feedback signals, information occupancy, fault signals, manual and automatic status into the status data table, and update them in real time;

[0054] ④Establish and assign IEC_TIMER data type timers: According to the equipment list of the project, establish and assign IEC_TIMER for each equipment according to the equipment number in the controller for equipment overtime alarm use;

[0055] ⑤Establish and distribute sen...

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Abstract

The invention discloses an intelligent detection system and method for the abnormality of an automatic sensor. In the automatic logistics control process, for the application scene of the control process information tracking, the sensor detection signal is combined with the controller program logic by using the scanning characteristic of the controller program. , write a special program module algorithm in the controller, according to the dynamic characteristics of conveying equipment with different lengths and different accelerations, dynamic counting, self-learning detection control, adaptive dynamic fault triggering, in order to prevent tracking errors, accurately complete alarm diagnosis, and accurately Identify fault types accurately, thereby saving fault handling time and improving the response speed of fault handling.

Description

technical field [0001] The invention belongs to the technical field of automatic control, in particular to an intelligent detection system and method for an abnormality of an automatic sensor. Background technique [0002] With the continuous development of science and technology in today's society, the degree of automation development in our country is getting higher and higher, and the demand for timeliness and accuracy of equipment failures is getting higher and higher. In recent years, many equipment failure detection methods have emerged to solve this problem. In the control of automated logistics equipment, the sensor is the "eye" of the logic execution of the controller program and plays a vital role. Once the sensor is falsely triggered or fails, it will definitely affect the logical purpose of the relevant control program. How to quickly and timely diagnose the abnormality of the sensor becomes very important. [0003] In the existing automated logistics industry, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B23/02G01D18/00
CPCG05B23/0213G01D18/00G05B2219/24065
Inventor 合平凯浦仕贤周炳兰李欣泽施辽代富赵杰刘诗李俊陈巧段千军苏宗坤
Owner KUNMING KSEC LOGISTIC INFORMATION IND
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