CN210418175U

CN210418175U - Large coal block detection device of mining belt conveyor

Info

Publication number: CN210418175U
Application number: CN201920094012.3U
Authority: CN
Inventors: 景志伟; 石正民; 马晓东; 李宏慧; 郑克新; 王辉
Original assignee: Pingdingshan Tianan Coal Mining Co Ltd
Current assignee: Pingdingshan Tianan Coal Mining Co Ltd
Priority date: 2019-01-21
Filing date: 2019-01-21
Publication date: 2020-04-28
Anticipated expiration: 2029-01-21

Abstract

A large coal block detection device of a mining belt conveyor comprises an image acquisition module, an image processing module, a communication network module and an output control module; the image acquisition module is connected with the image processing module and is used for acquiring images of the coal blocks on the belt and transmitting acquired image data to the image processing module; the image processing module is connected with the output control module and the upper computer through the communication network module, is used for analyzing and processing the received image information, controls the state switching of the output control module after identifying a large coal yard and is used for carrying out interactive communication with the upper computer through the communication network module; the output control module is used for controlling the working state of a driving motor of the belt conveyor. The device can detect the big coal cinder on the belt in time and react in time, prevents the belt pile coal effectively, protects the belt, improves work efficiency.

Description

Large coal block detection device of mining belt conveyor

Technical Field

The utility model relates to a big coal cinder detection device of mining belt conveyor belongs to mining monitoring technology field.

Background

With the continuous development of the coal industry in China, the coal transportation under the mine tends to be high-speed and belt-type. Belt conveyors have become the primary means of coal handling in various coal mines. In the coal transportation process, abnormal conditions such as large coal block coal piling, anchor rod inserting and belt tearing and the like can occur, damage to a conveyor is easy to cause, and certain hidden danger is brought to underground safety production. At present, methods for detecting belt conveyor abnormity mainly adopt modes of manual detection and sensor detection, but the detection methods have low working efficiency and cannot timely control other related parts so as to achieve the purpose of timely reacting and protecting a belt.

Disclosure of Invention

Some problems to prior art exist, the utility model provides a big coal cinder detection device of mining belt conveyor, the device can in time detect the big coal cinder on the belt and in time react, prevent belt pile coal, protection belt effectively, improve work efficiency.

In order to achieve the purpose, the utility model provides a large coal briquette detection device of a mining belt conveyor, which comprises an image acquisition module, an image processing module, a communication network module and an output control module;

the image acquisition module is connected with the image processing module and is used for acquiring images of the coal blocks on the belt and transmitting acquired image data to the image processing module;

the image processing module is connected with the output control module and the upper computer through the communication network module, is used for analyzing and processing the received image information, controls the state switching of the output control module after the large coal blocks are identified, and is used for carrying out interactive communication with the upper computer through the communication network module;

the output control module is used for controlling the working state of a driving motor of the belt conveyor.

The image acquisition module adopts a 500 ten thousand star light level 1/2.7' CMOS ICR infrared array cylindrical network camera.

The core of the image processing module adopts an STM32F767 chip.

The communication network module is provided with an RS485 standard interface and an RJ45 standard interface.

This big coal cinder detection device carries out real-time image acquisition through the image acquisition module to the coal cinder on the belt, realize all-weather control, the image processing module carries out analysis and processing to the image of gathering, and control output control module and carry out the state switching when judging that there is big coal cinder or other jumbo size foreign matters, thereby the driving motor that can control the conveyer switches to the off-state by the running state, can effectually prevent the belt coal piling condition, also can avoid the damage that the foreign matter caused equipment. The device has high reaction speed, optimizes a control system, can effectively protect the belt and can improve the working efficiency. The image processing module can also report the abnormal condition through the communication network module so as to enable the upper computer side to give an alarm in time, and monitoring management personnel can know the field condition in time conveniently.

Drawings

FIG. 1 is a schematic block diagram of the present invention;

fig. 2 is a circuit diagram of a communication network module according to the present invention;

fig. 3 is a circuit diagram of an RJ45 standard interface connected to a communication network module according to the present invention;

fig. 4 is a circuit diagram of an RS485 standard interface connected to a communication network module according to the present invention;

fig. 5 is a circuit diagram of the middle output control module of the present invention.

In the figure: 1. the system comprises an image acquisition module, a 2 image processing module, a 3 communication network module, a 4 output control module, a 5 upper computer, a 6 control loop.

Detailed Description

The present invention will be further explained below.

As shown in fig. 1 to 5, a large coal block detection device of a mining belt conveyor comprises an image acquisition module 1, an image processing module 2, a communication network module 3 and an output control module 4;

the image acquisition module 1 is connected with the image processing module 2 and is used for acquiring images of the coal blocks on the belt and transmitting acquired image data to the image processing module 2;

the image processing module 2 is connected with the output control module 4 and is also connected with the upper computer 5 through the communication network module 3, and is used for analyzing and processing received image information, controlling the state switching of the output control module 4 after large coal blocks are identified, and performing interactive communication with the upper computer 5 through the communication network module 3, the image processing module 2 can send field parameters and alarm signals to the upper computer 5, and the upper computer 5 can send corresponding set parameters to the image processing module 2 and perform remote control;

the output control module 4 is used for controlling the working state of a driving motor of the belt conveyor. Specifically, the output control module 4 can output 2 switching value signals to the field control loop 6 according to the control of the image processing module 2, so that the operation condition of the related equipment of the transporter can be controlled in a linkage manner conveniently.

The image acquisition module 1 adopts a 500 ten thousand star light level 1/2.7' CMOS ICR infrared array cylindrical network camera, the highest resolution can reach 2560 multiplied by 1440@25fps, an EXIR dot matrix infrared lamp technology is adopted, the farthest irradiation distance can reach 30 meters, an ICR infrared filter sheet type automatic switching mode is adopted, and real day and night all-weather monitoring is realized.

The core of the image processing module 2 adopts an STM32F767 chip. The chip adopts a six-stage pipeline, is provided with an instruction and a data Cache, integrates a double-precision hardware floating point computing unit (DPFPU) and a DSP instruction, has 512KB SRAM and 1024KBFLASH, and has 1 10/100M Ethernet MAC controller, 1 camera interface and the like; the communication network part supports an RS485 interface and an RJ45 interface, and can be conveniently accessed into a communication network in the pit.

The communication network module 3 is provided with an RS485 standard interface and an RJ45 standard interface.

After being collected, the image enters an image processing module (STM32F767 chip) to start processing, and the image preprocessing mainly adopts a graying technology. The image of the detected area is a three-channel RGB image, firstly, graying is needed to be carried out on the image, the color image is converted into a grayscale image, and for any pixel point, the conversion formula is as follows: i is_gray＝I_R×0.299+I_G×0.587+I_BX 0.114, and then filtering the image to remove noise, small coal blocks and other irrelevant interference in the image. The detection area is divided by the upper computer 5, the lower computer program starts to initialize the analysis area, the gray level image is extracted and analyzed by a three-frame difference-Vibe algorithm, the algorithm combines the advantages of a three-frame difference method and the Vibe algorithm, the Vibe calculation amount is small, the algorithm is simple, the moving target image can be accurately extracted, the three-frame difference algorithm subtracts the pixel values of two adjacent frames or two images separated by a plurality of frames of images in the video stream, the subtracted images are thresholded to extract the moving area in the images, the combination of the two algorithms can better and faster identify the images of the coal blocks, the large coal blocks smaller than a certain threshold value can be removed after the data is collected and analyzed by combining the image segmentation technology, whether the large coal blocks exist or not is judged, the level of two pins of an image processing module (STM32F767 chip) changes after the condition is met, thereby controlling the action of the relay, finishing the output control, and simultaneously uploading the data to the upper computer 5 through the communication network for processing such as alarming, recording and the like.

As shown in fig. 2 to 4, the communication network module 3 uses the LAN8720A as the control of ethernet signals, and the LAN8720A is a low-power-consumption 10/100M ethernet PHY layer chip, supports communication with the ethernet MAC layer through the RMII interface, and supports Auto-MDIX Auto-roll-over function through an optimal connection with the destination host in an Auto-negotiation manner. Pins of RMII _ TXD0, RMIII _ TXD1, RMII _ RXD0, RMII _ RXD1, RMII _ CRS _ DV, RMII _ REF _ CLK and the like are directly connected with an IO port of STM32F767, communication and control with the LAN8720A are realized through a chip pin multiplexing function, wherein TPTX +, TPTX, -TPRx +, TPRx-is connected with an RJ45 interface, and output of Ethernet signals is realized; the output of the RS485 signal cannot be directly connected with the STM32F767, so that level conversion is performed through the SP3485, the input signal is stabilized through the matching resistor of 120R and is input to the

pins

6 and 7 of the SP3485, and the pins 1 to 4 are directly connected with the STM32F767, so that communication of the RS485 signal is realized.

As shown in fig. 5, the circuit diagram of the output control module 4 is shown, in which PE5 is directly connected to STM32F767, the power-on default is high, and the transistor Q6 is in the off state; when the large coal briquette is detected to meet the output condition, the PE5 is changed into low level, the Q6 triode is in a conducting state, the relay K2 is in an action state at the moment, and the normally open/normally closed state is changed, so that the output control is realized.

Claims

1. A large coal block detection device of a mining belt conveyor is characterized by comprising an image acquisition module (1), an image processing module (2), a communication network module (3) and an output control module (4);

the image acquisition module (1) is connected with the image processing module (2) and is used for acquiring images of the coal blocks on the belt and transmitting acquired image data to the image processing module (2);

the image processing module (2) is connected with the output control module (4) and is also connected with the upper computer (5) through the communication network module (3) and is used for analyzing and processing the received image information, controlling the state switching of the output control module (4) after the large coal briquette is identified and carrying out interactive communication with the upper computer (5) through the communication network module (3);

the output control module (4) is used for controlling the working state of a driving motor of the belt conveyor.

2. The large coal briquette detection device of the mining belt conveyor as claimed in claim 1, characterized in that the image acquisition module (1) adopts 500 ten thousand starlight level 1/2.7 "CMOS ICR infrared array cylinder type network camera.

3. The large coal briquette detection device of the mining belt conveyor as claimed in claim 1, characterized in that the core of the image processing module (2) adopts an STM32F767 chip.

4. The large coal block detection device of the mining belt conveyor as claimed in claim 3, wherein the communication network module (3) is provided with an RS485 standard interface and an RJ45 standard interface.