Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Belt running state abnormity monitoring method, system and device, and storage medium

A technology for abnormal monitoring and running status, which is applied in the direction of registration/indication of vehicle operation, instrument, character and pattern recognition, etc. It can solve the problems of adjacent sensor signal interference, sensor elements are insensitive and cannot be accurately monitored, and achieve a good early warning system. Effect

Active Publication Date: 2019-11-22
JINGYING SHUZHI TECH HLDG CO LTD
View PDF12 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] To this end, the embodiment of the present invention provides a method for monitoring the abnormality of the belt running state to solve the problem in the prior art that the signal interference of adjacent sensors and the insensitivity of sensor elements cannot be accurately monitored

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Belt running state abnormity monitoring method, system and device, and storage medium
  • Belt running state abnormity monitoring method, system and device, and storage medium
  • Belt running state abnormity monitoring method, system and device, and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] A method for monitoring abnormality of a belt running state, comprising the following steps:

[0035] S1: video monitoring belt movement state; If belt is in movement state, then enters step S2; If belt is in non-motion state, then continue to monitor;

[0036] S2: The target detection model that has been trained performs target detection on the video input in real time in step S1, identifies and locates the target, and obtains the category of the target and the position coordinates of the bounding box;

[0037] S3: Analyze the category of the target obtained in S2 and the position coordinates of the bounding box through the analysis and processing model, and judge whether there are three abnormal situations such as belt idling, belt deviation, and people who are too close to the belt; if any abnormality occurs If there is no abnormal situation, then proceed to step S4; if there is no abnormal situation, then continue to monitor and analyze;

[0038] S4: Remind the sta...

Embodiment 2

[0053] The embodiment of the present invention further provides a monitoring system for abnormal belt running status, including a target detection module, an analysis and processing module, and a broadcast early warning module, wherein:

[0054] The target detection module realizes the detection of target objects in the camera area, including belts, materials, rollers and people, and sends the video recorded by the camera as a training set to the target detection model;

[0055] The analysis and processing module monitors the three abnormal situations at the same time through the training model;

[0056] The broadcast early warning module receives the information from the analysis and processing module, and reminds the staff through the broadcast system after receiving the early warning information.

Embodiment 3

[0058] The embodiment of the present invention further provides a belt running status abnormal monitoring service device, including:

[0059] a memory storing executable program code;

[0060] a processor coupled to the memory;

[0061] The processor invokes the executable program code stored in the memory, and executes the following method:

[0062] S1: the camera shoots the belt, and enters step S2 when the belt is in motion;

[0063] S2: The target detection model performs target detection on the video of the belt movement state captured by the camera, and performs category recognition and bounding box positioning on the target;

[0064] S3: The analysis and processing model generates target state features based on the target category and bounding box information, and compares the target state features with the preset abnormal operation judgment conditions. When the comparison result meets the abnormal operation conditions, the analysis and processing model sends a belt o...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a belt running state abnormity monitoring method, system and device, and a storage medium. The method comprises steps that S1, that a belt is in a moving state is determined, firstly, whether the belt is in a normal conveying state needs to be determined through some methods (such as an inter-frame difference method), if the belt is not in the moving state, following stepsare not conducted; S2, a target detection module needs to detect a target object in a camera shooting area; S3, an analysis processing module is used for monitoring three abnormal conditions at the same time through a set of model; and S4, a broadcast early warning module is mainly used for receiving the information from the analysis processing module and reminding a worker through a broadcast system if the early warning information is received, and thereby occurrence of an abnormal condition is avoided. The method is advantaged in that the computer vision technology is utilized for belt sceneabnormality monitoring, the industrial production and transportation scene is monitored more intelligently, and the better early warning system is provided for monitoring abnormal conditions.

Description

technical field [0001] The embodiment of the present invention relates to the technical field of belt operation monitoring application, and in particular to a method, system, device and storage medium for monitoring abnormal belt operation status. Background technique [0002] As an important transportation device in the production and processing environment, the belt conveyor is widely used in the industrial environment. Therefore, the normal operation of the belt plays an important role in ensuring the normal progress of industrial production. In actual work, during the operation of the belt conveyor, some abnormal operation of the belt may occur, and even safety accidents may occur, which will seriously affect the normal operation of the belt conveyor. production process. This paper aims at the monitoring of possible abnormal conditions in the belt operating environment mainly as the following three types: one is to monitor whether the belt is idling, and the idling of t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G07C5/08G06K9/00G08B21/24
CPCG07C5/0816G07C5/0866G08B21/24G06V20/42
Inventor 朱晓宁吴喆峰李忠义
Owner JINGYING SHUZHI TECH HLDG CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products