AI-based coal blockage recognition system

A technology of identification system and coal drop chute, which is applied in the direction of conveyor control device, conveyor objects, transportation and packaging, etc., can solve the problems of poor environmental protection performance and no dust collection

Pending Publication Date: 2021-06-04
国电投南阳热电有限责任公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide an AI-based coal blocking identification system to solve the pr...

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
  • AI-based coal blockage recognition system
  • AI-based coal blockage recognition system
  • AI-based coal blockage recognition system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0025] Example 1: See Figure 1-4 , an AI-based coal blocking identification system, including a coal drop chute 1 and a camera 9, a warning ring 2 is fixedly connected to the inside of the coal drop chute 1 near the top, and a vertical plate 6 is fixedly connected to the rear end of the coal drop chute 1, The top of the vertical plate 6 is fixedly connected to the horizontal plate 10, the top of the horizontal plate 10 is fixedly connected to the control center 8, the camera 9 is fixedly connected to the bottom of the horizontal plate 10, the model of the camera 9 can be KY-36P-GLE, the vertical plate 6 An alarm mechanism 7 is set at the position near the top of the front end, and a dust-proof and dust-removing mechanism is set at the top of the coal drop chute 1;

[0026] see Figure 1-4 , an AI-based coal blocking identification system also includes a dust-proof and dust-removal mechanism, the dust-proof and dust-removal mechanism includes a support plate 3, and the suppor...

Embodiment 2

[0031] Embodiment 2: the alarm mechanism 7 is made up of sound and light alarm device 701, LED lamp tube 702, control button 703 and alarm indicator light 704, and sound and light alarm device 701 is fixedly connected at the position near the top of vertical plate 6 front end, and sound and light alarm The model of the device 701 can be TGSG-03, one side of the front end of the sound and light alarm 701 is fixedly connected with an LED lamp 702, the top of the sound and light alarm 701 is fixedly connected with a control button 703, and the other side of the front end of the sound and light alarm 701 The side is fixedly connected with an alarm indicator light 704;

[0032] The vertical plane where the front end of the sound and light alarm 701 is located is located at the rear end of the vertical plane where the camera 9 is located;

[0033] Specifically, such as figure 1 and Figure 4As shown, when in use, the camera 9 will monitor the coal-falling condition inside the coal...

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 an AI-based coal blockage recognition system, and particularly relates to the technical field of power plant coal conveying. The AI-based coal blockage recognition system comprises a coal falling groove and a camera, and an early warning ring is fixedly connected to the position, close to the top end, in the coal falling groove. According to the AI-based coal blockage recognition system, by arranging an audible and visual alarm, an LED lamp tube, a control button and an alarm indicator lamp, during use, the camera can monitor the coal falling condition in the coal falling groove in real time, if coal in the coal falling groove submerges the early warning ring, it is indicated that the coal blockage phenomenon is about to occur, at the moment, a control center processes a signal and then feeds back the signal to the audible and visual alarm, the alarm indicator lamp on the audible and visual alarm flashes and lights up, a worker is prompted along with the alarm sound, at the moment, the LED lamp tube is turned off, when the coal blockage phenomenon does not occur, the LED lamp tube serves as the indicator lamp operating in the normal state and can play a role in illumination, the camera is assisted in monitoring the coal falling condition in the coal falling groove, and therefore the system has the alarm function and is relatively high in practicability.

Description

technical field [0001] The invention relates to the technical field of coal transportation in power plants, in particular to an AI-based coal blocking identification system. Background technique [0002] In thermal power plants, coal blocking during coal transportation is a very common problem. Once coal blocking occurs, the entire coal transportation system will be paralyzed, and it is very difficult to repair. Now AI system and coal blocking identification system can be combined Combined, an AI-based coal blocking identification system is formed, which can solve the inaccurate identification of coal blocking, but there are still some problems and defects in the system. [0003] In the process of realizing the present invention, the inventors have found that at least the following problems in the prior art have not been resolved: [0004] (1) The traditional AI-based coal blocking identification system does not have the function of dust collection, and its environmental pr...

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): B65G69/18B65G43/00
CPCB65G43/00B65G69/186
Inventor 王征王剑影司江周王海衡仝太韬周申户东亮朱万宇赵奇远孙杰李萌秦晓东
Owner 国电投南阳热电有限责任公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap