Transfer belt dust treatment method, device and system

Abstract

The invention provides a transfer belt dust treatment method, device and system, and the method comprises the steps: obtaining the moisture content of a transfer material of a transfer belt, a monitoring image at an opening of a dust removal cover, and the first flying dust concentration at the opening monitored by a total suspended particulate matter monitoring device, the discharging end of the transfer belt extends into the dust removal cover through the opening; determining a second flying dust concentration at the opening according to the monitoring image; determining a target control quantity according to the moisture content of the transferred material, the first dust raising concentration and the second dust raising concentration; and according to the target control quantity, the control quantity of the dust removal equipment is adjusted, and dust treatment on the transfer belt is completed. The dust on the transfer belt can be prevented from escaping, the energy consumption is reduced, and the synergistic effect of reducing pollution and carbon is achieved.

Description

Technical Field

[0001] This application relates to the field of material conveying technology, and in particular to a method, apparatus and system for dust treatment of conveyor belts. Background Technology

[0002] The vibration generated by the conveyor belt causes fine particles to fall off the surface of materials, forming dust. This dust has a significant impact on ambient air quality and human health. Environmentally, the diffusion of dust leads to an increase in the concentration of particulate matter in the air, negatively affecting air quality and potentially causing regional air pollution problems. Health-wise, inhaled dust may accumulate in the respiratory tract and lungs, causing respiratory diseases. Workers with long-term exposure to high-dust environments face a high risk and a serious threat to their health.

[0003] Against the backdrop of increasingly stringent environmental protection requirements, especially with the steel industry implementing ultra-low emission standards that explicitly require no visible smoke or dust emissions, steel companies have primarily adopted two measures to control dust generated by conveyor belts. First, they manually increase the airflow or spray volume of dust collectors to ensure that dust removal or suppression meets the prescribed standards. However, this method significantly increases operating costs and can easily lead to excessive increases in airflow or spray volume, resulting in energy waste. Second, they rely on on-site inspectors to monitor or conduct direct inspections, adjusting the operating power or valve openings of the dust removal system to ensure dust removal effectiveness. However, given the large number of conveyor belts in steel companies and the complex working conditions, operators find it difficult to monitor and adjust the operating status of multiple belt conveyors in real time, thus hindering effective adjustment operations.

[0004] In the steel industry, the numerous conveyor belts and complex operating conditions result in a wide variety of dust types and properties. Faced with this challenge, the two measures mentioned above are no longer sufficient to meet current environmental emission standards. Currently, dust control technologies at conveyor belt transfer points mainly focus on electrostatic dust removal and enclosed space installation. For example, patent application number 201620547529X, concerning a dust removal system for a coal conveyor belt transfer point, employs wet dust removal technology. This system has a complex structure, requires significant modifications to the conveyor belt system, and necessitates additional space for water spraying facilities. Furthermore, this technology has limitations, as it cannot adjust the dust removal power or water spray volume in real time according to material characteristics. Patent application number 2017103109137, concerning a closed-loop dust control system and method for a conveyor belt transfer point, controls dust by atomizing and spraying an aqueous solution containing a dust-removing agent. While this technology effectively suppresses dust, it fails to fundamentally solve the dust problem. Simultaneously, the dust-removing agent may alter material properties and potentially cause secondary environmental pollution. This technology also cannot adjust the dust removal power or water spray volume in real time according to the material characteristics. Patent application number 2019111098580, concerning a "Dust Control System for a Sealed Material Guide Tunnel in a Belt Conveyor System," primarily relies on wetting the surface of the material layer through a dust removal water system, followed by dust removal using electrostatic precipitators. However, this solution lacks a corresponding feedback and detection mechanism for the treatment effect, making it impossible to monitor dust emissions during the operation of the conveyor belt in real time. Currently, on-site inspections by patrol personnel are still required to confirm the dust removal effect and adjust the operating power of the dust removal system accordingly. This operation and maintenance method is relatively traditional, making it difficult to ensure continuous compliance with dust removal standards and increasing operating costs. Furthermore, this technology has shortcomings in data depth analysis and intelligent closed-loop process control. Patent application number 2021210670876, concerning an "Automatic Dust Collection and Conveying Device for Belt Conveyors," mainly focuses on modifying the belt. Specifically, it involves drilling square holes in a cement structure and installing an integral conical funnel inside the lower part of the drilled square holes. The initial design aimed to allow scraped coke powder to fall through excavated concrete square holes and conical funnels onto a conveyor belt for material handling. However, this solution not only requires expensive equipment but also significantly increases construction costs. More importantly, the technical solution fails to effectively address material dust generation and lacks follow-up measures for dust and other related issues. From a maintenance perspective, due to the lack of comprehensiveness and foresight in the design, subsequent maintenance work will face considerable difficulties and may consume more manpower, resources, and time. Summary of the Invention

[0005] To address at least one problem in the prior art, this application proposes a method, apparatus, and system for treating dust from conveyor belts, which can prevent dust from escaping from conveyor belts, reduce energy consumption, and achieve a synergistic effect of pollution reduction and carbon reduction.

[0006] To address the aforementioned technical problems, this application provides the following technical solution:

[0007] In a first aspect, this application provides a method for treating dust from a conveyor belt, comprising:

[0008] The moisture content of the material being transported by the conveyor belt, the monitoring image at the opening of the dust collector hood, and the first dust concentration at the opening monitored by the total suspended particulate matter (TSP) monitoring device are obtained. The discharge end of the conveyor belt extends into the dust collector hood through the opening.

[0009] Based on the monitoring images, determine the second dust concentration at the opening;

[0010] The target control quantity is determined based on the moisture content of the transported material, the first dust concentration, and the second dust concentration.

[0011] The control quantity of the dust removal equipment is adjusted according to the target control quantity to complete the dust treatment of the conveyor belt.

[0012] In one embodiment, determining the second dust concentration at the opening based on the monitoring image includes:

[0013] According to a preset image recognition model, dusty areas are identified from the monitoring images. The preset image recognition model is obtained by pre-training a deep learning model based on a batch of historical monitoring images and their corresponding actual dusty areas.

[0014] Obtain the total number of pixels in the monitoring image and the number of pixels in the dusty area;

[0015] The ratio of the number of pixels in the dust-generating area to the total number of pixels in the monitoring image is determined as the second dust concentration at the opening of the dust collector hood.

[0016] In one embodiment, determining the target control quantity based on the moisture content of the transported material, the first dust concentration, and the second dust concentration includes:

[0017] Determine whether the moisture content of the transported material, the first dust concentration, and the second dust concentration meet the preset dust conditions. If so, determine that the transport belt is dusty, obtain the current feedback coefficient, increase the current feedback coefficient according to the preset first adjustment rule, and update the current feedback coefficient to the increased feedback coefficient.

[0018] The target control quantity is determined based on the current feedback coefficient, the moisture content of the transported material, the first dust concentration, and the second dust concentration.

[0019] In one embodiment, determining the target control quantity based on the moisture content of the transported material, the first dust concentration, and the second dust concentration includes:

[0020] If the moisture content of the transported material, the first dust concentration, and the second dust concentration do not meet the preset dust conditions, then it is determined that there is no dust on the transport belt. It is then determined whether the moisture content of the transported material, the first dust concentration, and the second dust concentration obtained in the previous test meet the preset dust conditions. If not, the current feedback coefficient is obtained, and the current feedback coefficient is reduced according to the preset second adjustment rule. The current feedback coefficient is then updated to the reduced feedback coefficient.

[0021] The target control quantity is determined based on the current feedback coefficient, the moisture content of the transported material, the first dust concentration, and the second dust concentration.

[0022] In one embodiment, determining the target control quantity based on the current feedback coefficient, the moisture content of the transported material, the first dust concentration, and the second dust concentration includes:

[0023] Determine the target control quantity C according to the following formula:

[0024] C=(1-H)×F×T×K

[0025] Where H is the moisture content of the transported material, F is the second dust concentration, T is the first dust concentration, and K is the current feedback coefficient.

[0026] In one embodiment, after determining whether the moisture content of the previously acquired transported material, the first dust concentration, and the second dust concentration meet the preset dust conditions, the method further includes:

[0027] If the moisture content of the transported material, the first dust concentration, and the second dust concentration obtained in the previous test meet the preset dust conditions, then the current feedback coefficient is obtained, and the target control quantity is determined based on the current feedback coefficient, the moisture content of the transported material, the first dust concentration, and the second dust concentration.

[0028] In one embodiment, the target control quantity is: target dust collector power or target dry fog dust suppression spray volume.

[0029] In one embodiment, adjusting the control quantity of the dust removal equipment according to the target control quantity to complete the dust treatment of the conveyor belt includes:

[0030] The control quantity of the dust removal equipment is adjusted to the target control quantity to complete the dust treatment of the conveyor belt.

[0031] Secondly, this application provides a dust treatment device for a conveyor belt, comprising:

[0032] The acquisition module is used to acquire the moisture content of the material being transported by the conveyor belt, the monitoring image at the opening of the dust collector hood, and the first dust concentration at the opening monitored by the total suspended particulate matter monitoring device. The unloading end of the conveyor belt extends into the dust collector hood through the opening.

[0033] The first determining module is used to determine the second dust concentration at the opening based on the monitoring image;

[0034] The second determining module is used to determine the target control quantity based on the moisture content of the transported material, the first dust concentration, and the second dust concentration.

[0035] The processing module is used to adjust the control quantity of the dust removal equipment according to the target control quantity, so as to complete the dust treatment of the conveyor belt.

[0036] Thirdly, this application provides a server, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the server executes the program to implement the steps of the conveyor belt dust treatment method.

[0037] Fourthly, this application provides a conveyor belt dust treatment system, including: a total suspended particulate matter monitoring device, a video monitoring device, an infrared moisture content monitoring device, a dust removal device, and the aforementioned server;

[0038] The video monitoring device and the infrared moisture content monitoring device are both installed at the conveyor belt, and the total suspended particulate matter monitoring device is installed at the opening of the dust removal hood; the dust removal equipment is connected to the dust removal hood; the server is communicatively connected to the total suspended particulate matter monitoring device, the video monitoring device, the infrared moisture content monitoring device, and the dust removal equipment, respectively.

[0039] The video monitoring device is used to acquire monitoring images of the open opening of the dust collector hood;

[0040] The infrared moisture monitoring device is used to monitor the moisture content of the material being transported by the conveyor belt;

[0041] The dust removal equipment is used to remove dust from the conveyor belt.

[0042] As can be seen from the above technical solution, this application provides a method, apparatus, and system for treating dust from a conveyor belt. The method includes: acquiring the moisture content of the material being transported on the conveyor belt, a monitoring image of the opening of a dust collector hood, and a first dust concentration at the opening monitored by a total suspended particulate matter monitoring device; the unloading end of the conveyor belt extending into the dust collector hood through the opening; determining a second dust concentration at the opening based on the monitoring image; determining a target control quantity based on the moisture content of the material being transported, the first dust concentration, and the second dust concentration; and adjusting the control quantity of the dust removal equipment according to the target control quantity to complete the dust treatment of the conveyor belt, thereby preventing dust from being transported... To prevent dust from escaping from conveyor belts, adjusting the control parameters of dust removal equipment can reduce energy consumption (e.g., electricity or water consumption), achieving a synergistic effect of pollution reduction and carbon reduction. Specifically, it eliminates the need to modify the structure of the conveyor belt itself, reducing the complexity of dust handling. It allows for real-time monitoring of dust emissions during conveyor belt operation, avoids secondary environmental pollution, and enables automatic monitoring and treatment of conveyor belt dust. This not only effectively solves the problem of dust escaping from conveyor belts but also allows for real-time adjustment of dust removal power or water spray volume based on the actual material conditions, thereby reducing electricity and water consumption. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 This is a schematic diagram of the first process of the dust treatment method for the conveyor belt in the embodiments of this application;

[0045] Figure 2 This is a schematic diagram of the second process of the dust treatment method for the conveyor belt in the embodiments of this application;

[0046] Figure 3 This is a schematic diagram of the third process of the dust treatment method for the conveyor belt in the embodiments of this application;

[0047] Figure 4 This is a video analysis schematic diagram of the open opening of the dust collector hood in the embodiments of this application;

[0048] Figure 5 This is a flowchart illustrating the dust treatment method for conveyor belts in an application example of this application.

[0049] Figure 6 This is a schematic diagram of the structure of the conveyor belt dust treatment device in the embodiments of this application;

[0050] Figure 7 This is a schematic block diagram of the system configuration of the server in the embodiments of this application;

[0051] Figure 8 This is a schematic diagram showing the relationship between the conveyor belt, dust collector hood, and conveyor belt dust treatment system in the embodiments of this application;

[0052] Figure 9 This is a schematic diagram of the system architecture of the conveyor belt dust treatment system in the application example of this application. Detailed Implementation

[0053] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0054] Currently, the steel industry primarily relies on belt conveyors for material transfer and transportation. Due to their advantages such as continuous conveying, large capacity, and ease of operation, belt conveyors have become crucial equipment for material transfer in steel enterprises. However, during the material transport and transfer process using belt conveyors, factors such as equipment vibration and material drop distance lead to the generation of significant amounts of dust. The transfer belt is one of the core components of a belt conveyor, and research on dust control from transfer belts is extremely important within the scope of environmental management in steel enterprises.

[0055] To address at least one problem in the existing technology, this application proposes a method, device, and system for treating dust from conveyor belts, incorporating video analytics. This system not only effectively solves the problem of dust escape from conveyor belts but also allows for real-time adjustment of dust removal power or dry fog dust suppression spray volume based on the actual material conditions, thereby reducing electricity and water consumption and achieving a synergistic effect of pollution reduction and carbon reduction. Specifically, it mainly achieves the following functions:

[0056] 1) The video monitoring device provides 24 / 7 monitoring of the unorganized discharge outlets (i.e., the open openings of the belt dust collectors) at the belt conveyor transfer station and records dust monitoring data in real time. Management personnel can quickly retrieve relevant historical video data based on the immediate status of the dust monitoring data for in-depth analysis and tracing.

[0057] 2) Utilizing video intelligent recognition technology, accurately capture the dust emission situation at the opening of the belt dust collector hood. This technology not only solves the problem of manpower consumption caused by frequent long-distance on-site inspections by inspection personnel, but also reduces the maintenance cost of traditional instrument testing equipment. Moreover, by automatically judging the dust emission situation at the opening of the belt dust collector hood through video recognition technology, the machine recognition response is rapid, which can effectively reduce the misjudgment caused by human intervention.

[0058] 3) The conveyor belt dust emission video analysis function can accurately measure dust emission and dust concentration. Through big data analysis technology, combined with changes in moisture content monitoring data (i.e., moisture content of the conveyed material) and TSP monitoring data (i.e., the first dust concentration), it can make forward-looking predictions on dust emissions from the open opening of the conveyor belt dust collector, providing a scientific basis for environmental protection management.

[0059] 4) The video intelligent analysis results, TSP monitoring data, and moisture content monitoring data are transmitted in real time to the smart ecological environmental protection platform for data processing. Through an automatic monitoring and control system, combined with dust removal or dry fog dust suppression and electrical interlocking control, closed-loop process management is achieved. This not only meets environmental protection requirements, ensuring no visible dust, but also achieves appropriate airflow or spray volume control, achieving the synergistic goals of energy conservation, pollution reduction, and carbon reduction. Simultaneously, digital data archiving is possible, and relevant monitoring data is traceable, facilitating subsequent queries and audits.

[0060] The following examples illustrate this in detail.

[0061] To prevent dust from escaping from conveyor belts, this application provides a method for treating dust from conveyor belts, where the implementing entity is a conveyor belt dust treatment device. This conveyor belt dust treatment device can be a functional module of a server, such as... Figure 1 As shown, this method specifically includes the following:

[0062] Step 100: Obtain the moisture content of the material being transported by the conveyor belt, the monitoring image at the opening of the dust collector hood, and the first dust concentration at the opening monitored by the total suspended particulate matter monitoring device. The discharge end of the conveyor belt extends into the dust collector hood through the opening.

[0063] Specifically, the moisture content of the transported material on the conveyor belt, the monitoring image at the opening of the dust collector hood, and the first dust concentration at the opening monitored by the total suspended particulate matter monitoring device can be acquired periodically or in real time; the first dust concentration represents the dust concentration at the opening monitored by the total suspended particulate matter monitoring device.

[0064] Step 200: Determine the second dust concentration at the opening based on the monitoring image.

[0065] Specifically, the second dust concentration represents the dust concentration at the opening determined based on the monitoring image.

[0066] Step 300: Determine the target control quantity based on the moisture content of the transported material, the first dust concentration, and the second dust concentration.

[0067] Specifically, the target control quantity can be: target dust collector power or target dry fog dust suppression spray volume. Target dust collector power can represent the dust collector power required for the dust removal equipment to complete dust treatment, and target dry fog dust suppression spray volume can represent the dry fog dust suppression spray volume required for the dust removal equipment to complete dust treatment.

[0068] Step 400: Adjust the control quantity of the dust removal equipment according to the target control quantity to complete the dust treatment of the conveyor belt.

[0069] Specifically, the dust removal equipment can be a dust collector or a dry fog dust suppression control system, etc. The control quantity of the dust removal equipment can be adjusted to the target control quantity to complete the dust treatment of the conveyor belt.

[0070] like Figure 2 As shown, in order to improve the accuracy of monitoring dust escape from the opening of the dust collector hood and to improve the reliability of determining the dust concentration at the opening of the dust collector hood, in one embodiment, step 200 includes:

[0071] Step 201: Identify the dusty area from the monitoring image according to the preset image recognition model. The preset image recognition model is obtained by pre-training a deep learning model based on a batch of historical monitoring images and their corresponding actual dusty areas.

[0072] Specifically, the four vertices of the monitoring image can be the four corners of the opening of the dust hood.

[0073] Furthermore, to avoid the monitored area corresponding to the original video frame image being larger than the area of ​​the dust collector hood opening, thus affecting the reliability of subsequently determining the second dust concentration, a video surveillance device can be used to acquire original video frame images, and the dust collector hood opening image delineated from the original video frame images can be used as the monitoring image. The dust collector hood opening position corresponding to each original video frame image can be the same. The position coordinates P(x0,y0), P(x1,y1), P(x2,y2), and P(x3,y3) corresponding to the four corners of the dust collector hood opening in the original video frame images acquired by the video surveillance device can be predetermined. These position coordinates can be used to delineate the dust collector hood opening image each time an original video frame image is acquired subsequently. Historical monitoring images can also be dust collector hood opening images delineated from historical original video frame images. Figure 4As shown, the complete region corresponding to the original video frame image captured by the video surveillance device is Figure 4 The monitoring screen area can be divided into identifiable areas (i.e., the opening of the dust collector hood), and the dust-generating area can be identified within the opening of the dust collector hood.

[0074] Step 202: Obtain the total number of pixels in the monitoring image and the number of pixels in the dusty area.

[0075] Specifically, the total number of pixels in the monitoring image can represent the total number of pixels on the photosensitive element of the corresponding video monitoring device. The number of pixels in the dusty area can represent the number of pixels on the photosensitive element of the corresponding dusty area in the monitoring image.

[0076] Step 203: The ratio of the number of pixels in the dust-generating area to the total number of pixels in the monitoring image is determined as the second dust concentration at the opening of the dust removal hood.

[0077] Specifically, the second dust concentration at the opening of the dust collector hood can be determined using the following formula:

[0078] F = S2 / S1

[0079] Wherein, S2 is the number of pixels in the dust-generating area, and S1 is the total number of pixels in the monitoring image.

[0080] like Figure 3 As shown, to further improve the reliability of determining the target control quantity, in one embodiment, step 300 includes:

[0081] Step 301: Determine whether the moisture content of the transported material, the first dust concentration, and the second dust concentration meet the preset dust conditions. If so, determine that the transport belt is dusty, obtain the current feedback coefficient, increase the current feedback coefficient according to the preset first adjustment rule, and update the current feedback coefficient to the increased feedback coefficient.

[0082] Specifically, if the moisture content of the transported material is less than a moisture content threshold, the first dust concentration is greater than a first dust concentration threshold, and the second dust concentration is greater than a second dust concentration threshold, then the preset dust conditions can be determined to be met. After determining that there is dust on the transport belt, the current feedback coefficient can be obtained locally from the transport belt dust treatment device. An initial value for the feedback coefficient can be preset according to actual conditions and stored locally on the transport belt dust treatment device. After obtaining a new feedback coefficient, the feedback coefficient locally on the transport belt dust treatment device is updated to the new feedback coefficient. The preset first adjustment rule can be set according to actual conditions, and this application does not impose any restrictions on it. For example, the current feedback coefficient can be increased by a preset value. If the current feedback coefficient is 100%, it will not be increased further.

[0083] Step 302: Determine the target control quantity based on the current feedback coefficient, the moisture content of the transported material, the first dust concentration, and the second dust concentration.

[0084] To further improve the reliability of determining the target control quantity, in one embodiment, step 300 includes:

[0085] Step 311: If the moisture content of the transported material, the first dust concentration, and the second dust concentration do not meet the preset dust conditions, then it is determined that there is no dust on the transport belt. It is then determined whether the moisture content of the transported material, the first dust concentration, and the second dust concentration obtained in the previous step meet the preset dust conditions. If not, the current feedback coefficient is obtained, and the current feedback coefficient is reduced according to the preset second adjustment rule. The current feedback coefficient is then updated to the reduced feedback coefficient.

[0086] Specifically, if at least one of the following conditions is met: the moisture content of the transported material is greater than or equal to a moisture content threshold, the first dust concentration is less than or equal to a first dust concentration threshold, and the second dust concentration is less than or equal to a second dust concentration threshold, then it can be determined that the preset dust conditions are not met. The previously obtained moisture content of the transported material, the first dust concentration, and the second dust concentration can be the moisture content of the transported material, the first dust concentration, and the second dust concentration obtained before step 100.

[0087] Specifically, if the moisture content of the transported material, the first dust concentration, and the second dust concentration obtained in the previous test do not meet the preset dust conditions, the current feedback coefficient can be obtained locally from the conveyor belt dust treatment device. The preset second adjustment rule can be set according to the actual situation, and this application does not limit it. For example, the current feedback coefficient can be reduced to a preset value.

[0088] Step 312: Determine the target control quantity based on the current feedback coefficient, the moisture content of the transported material, the first dust concentration, and the second dust concentration.

[0089] To further improve the reliability of determining the target control quantity, in one embodiment, after determining in step 311 whether the previously acquired moisture content of the transported material, the first dust concentration, and the second dust concentration meet the preset dust conditions, the method further includes:

[0090] Step 313: If the moisture content of the transported material, the first dust concentration, and the second dust concentration obtained in the previous step meet the preset dust conditions, then obtain the current feedback coefficient, and determine the target control quantity based on the current feedback coefficient, the moisture content of the transported material, the first dust concentration, and the second dust concentration.

[0091] In one embodiment, any one of steps 302, 312, and 313 includes:

[0092] Determine the target control quantity C according to the following formula:

[0093] C=(1-H)×F×T×K

[0094] Where H is the moisture content of the transported material, F is the second dust concentration, T is the first dust concentration, and K is the current feedback coefficient. The feedback coefficient can range from 0 to K and from 100%.

[0095] To further illustrate this solution, this application provides an application example of a dust monitoring method for conveyor belts. In this application example, such as... Figure 5 As shown, the method may include: monitoring the moisture content of the material to obtain the moisture content of the transported material; video AI analysis to obtain a second dust concentration; TSP data monitoring to obtain a first dust concentration; determining whether there is dust; based on the previously obtained moisture content of the transported material, the first dust concentration, and the second dust concentration, determining whether there is dust, if so, increasing the feedback coefficient; otherwise, based on the previously obtained moisture content of the transported material, the first dust concentration, and the second dust concentration, determining whether there is dust, if so, calculating and outputting the target control quantity; otherwise, decreasing the feedback coefficient, recalculating and outputting the target control quantity; the specific description is as follows:

[0096] S1: Video analysis of dust pollution from the conveyor belt.

[0097] In the data acquisition and preprocessing stage, image data is collected using video monitoring devices deployed at construction sites or in urban environments. These devices may include high-resolution cameras and sensors. Preprocessing steps are performed to filter out noise and interference from the images. Subsequently, deep learning algorithms are used for feature extraction and classification to identify dusty areas in the images. Images of the conveyor belt in a stationary state are selected as baseline images to monitor changes in dust discharged from the dust collector hood opening under different dust concentrations. As the dust collector power or the amount of dry fog dust suppression spray is adjusted, the dust concentration F will fluctuate accordingly. An increase in dust concentration will lead to an increase in the number of changing pixels in the video monitoring image. Therefore, the image area captured by the photosensitive element of the video monitoring device will also increase accordingly. To prevent interference from nearby particles on the measurement results, pixel changes caused by large-area solid changes must be excluded. Finally, the dust concentration should be calculated based on the ratio of all changing pixels minus the pixels of large-area solid changes to the total number of pixels in the preset identifiable area. Therefore, accurately measuring the dust situation at the opening of the dust collector hood is crucial for the calculation of dust concentration.

[0098] The formula for calculating dust concentration F is as follows:

[0099] F = S2 / S1

[0100] Wherein, S2 is the number of pixels of the video surveillance photosensitive element corresponding to the dusty area identified in the defined identifiable area; S1 is the total number of pixels of the video surveillance device photosensitive element corresponding to the defined identifiable area. The defined identifiable area is the opening of the dust collector hood.

[0101] P(x0,y0), P(x1,y1), P(x2,y2), and P(x3,y3) are the position coordinates of the photosensitive element pixels of the video surveillance device corresponding to the four corners of the defined identifiable area. When identifying and comparing dust, the coordinates must be compared accordingly.

[0102] F represents the dust concentration at the opening of the belt dust collector hood, which reflects the percentage of the dusty area within the designated identifiable area. Changes in F will be based on the instantaneous dust concentration changes at the opening of the belt dust collector hood.

[0103] S2: Automatic monitoring, control, and management of the control system.

[0104] The automatic monitoring and control system employs advanced automatic monitoring and control technologies. It utilizes an infrared moisture content monitoring device to monitor the moisture content of materials transported by belt conveyors in real time. Simultaneously, it combines dust video analysis technology from a video monitoring device with data from a TSP monitoring device to determine if dust escape is occurring. Based on the dust conditions, the automatic monitoring and control system accurately calculates the required dust collector power or dry fog dust suppression spray volume, and accordingly performs precise control of the dust collection equipment.

[0105] The core of the automatic monitoring and control system lies in using infrared moisture content monitoring devices and TSP (Total Moisture Suppression) monitoring devices as benchmarks for video analysis. When the infrared moisture content monitoring device indicates a low material moisture content, the likelihood of dust generation increases, and the control system automatically adjusts to increase the output control ratio. Subsequently, the automatic monitoring and control system combines the dust concentration analysis from the video monitoring device and the dust concentration monitored by the TSP device to progressively optimize the control output (i.e., the target control quantity), aiming to ensure no dust generation while maintaining the dust collector power or dry fog dust suppression spray volume at a low level. Conversely, when the infrared moisture content monitoring device indicates a high material moisture content, the likelihood of dust generation decreases, and the control system automatically adjusts to decrease the output control ratio. The automatic monitoring and control system again combines the dust concentration analysis from the video monitoring device and the dust concentration monitored by the TSP device to progressively optimize the control output to achieve no dust generation while ensuring that the dust collector power or dry fog dust suppression spray volume remains at a low level.

[0106] The output control calculation formula is as follows:

[0107] C=(1-H)×F×T×K

[0108] Wherein, C is the control output parameter (which can be equivalent to the target control quantity mentioned above), and the output range of the dust collector power or dry fog dust suppression spray volume is 0-100%. H is the moisture content of the conveyor belt material monitored in real time by the infrared moisture content monitoring device (which can be equivalent to the moisture content of the conveyor material mentioned above). F is the dust concentration monitored in real time by the video monitoring device (which can be equivalent to the second dust concentration mentioned above). T is the dust concentration monitored in real time by the TSP monitoring device (which can be equivalent to the first dust concentration mentioned above). K is the feedback coefficient calculated and processed in real time by the automatic monitoring and control system (which can be equivalent to the current feedback coefficient mentioned above).

[0109] As described above, the conveyor belt dust control method provided in this application example can construct a smart environmental management system platform for automatic monitoring and control of conveyor belt dust based on video AI analysis. This platform can utilize advanced video AI analysis technology to conduct real-time and accurate monitoring of the dust status of conveyor belts and achieve automated control to achieve the goal of smart environmental management. Video analysis technology is used to monitor whether dust is escaping from the openings of the conveyor belt dust collector hood. This monitoring process uses in-depth analysis of video images and professional image processing and recognition algorithms to accurately determine whether dust is escaping from the openings. Video analysis technology is used to monitor whether dust is escaping from the openings of the conveyor belt dust collector hood. During the monitoring process, by extracting and analyzing features from the video images, it is possible not only to accurately determine whether dust is escaping, but also to further calculate the dust concentration in the identifiable area. The specific calculation process combines multiple features such as image grayscale, color, and texture, and is implemented based on a professional concentration calculation model. By using video analysis technology, combined with changes in moisture content monitoring data and TSP monitoring data, an integrated control system for conveyor belt dust monitoring and control is achieved. This system automatically adjusts control strategies through comprehensive analysis and processing of multi-source data, achieving precise monitoring and efficient control of conveyor belt dust, thus forming a complete automatic monitoring, control and control technology system.

[0110] From a software perspective, to prevent dust from escaping from the conveyor belt, this application provides an embodiment of a conveyor belt dust treatment device for implementing all or part of the aforementioned conveyor belt dust treatment method. See [link to embodiment]. Figure 6 The dust treatment device for the conveyor belt specifically includes the following components:

[0111] The acquisition module 61 is used to acquire the moisture content of the material being transported by the conveyor belt, the monitoring image at the opening of the dust collector, and the first dust concentration at the opening monitored by the total suspended particulate matter monitoring device. The discharge end of the conveyor belt extends into the dust collector through the opening.

[0112] The first determining module 62 is used to determine the second dust concentration at the opening based on the monitoring image.

[0113] The second determining module 63 is used to determine the target control quantity based on the moisture content of the transported material, the first dust concentration, and the second dust concentration.

[0114] The processing module 64 is used to adjust the control quantity of the dust removal equipment according to the target control quantity, so as to complete the dust treatment of the conveyor belt.

[0115] The embodiments of the conveyor belt dust treatment device provided in this specification can be used to execute the processing flow of the embodiments of the conveyor belt dust treatment method described above. Its functions will not be repeated here, but can be referred to the detailed description of the embodiments of the conveyor belt dust treatment method described above.

[0116] Figure 7 This is a schematic diagram of the server entity structure provided in an embodiment of the present invention, such as... Figure 7 As shown, the server includes: a memory 701, a processor 702, and a computer program stored in the memory 701 and executable on the processor 702. When the processor 702 executes the computer program, it implements the following method:

[0117] The moisture content of the material being transported by the conveyor belt, the monitoring image at the opening of the dust collector hood, and the first dust concentration at the opening monitored by the total suspended particulate matter monitoring device are obtained. The unloading end of the conveyor belt extends into the dust collector hood through the opening.

[0118] Based on the monitoring images, determine the second dust concentration at the opening;

[0119] The target control quantity is determined based on the moisture content of the transported material, the first dust concentration, and the second dust concentration.

[0120] The control quantity of the dust removal equipment is adjusted according to the target control quantity to complete the dust treatment of the conveyor belt.

[0121] like Figure 8 As shown in the figure, this application provides a dust treatment system for a conveyor belt, including: a total suspended particulate matter monitoring device 3, a video monitoring device 4, an infrared moisture content monitoring device 5, a dust removal device 6, and a server 7; the video monitoring device and the infrared moisture content monitoring device are both installed on the conveyor belt 1, and the total suspended particulate matter monitoring device is installed at the opening 8 of the dust removal hood 2; the dust removal device is connected to the dust removal hood; the server is communicatively connected to the total suspended particulate matter monitoring device, the video monitoring device, the infrared moisture content monitoring device, and the dust removal device; the video monitoring device is used to acquire monitoring images at the opening of the dust removal hood; the infrared moisture content monitoring device is used to monitor the moisture content of the conveyed material on the conveyor belt; the dust removal device is used to remove dust from the conveyor belt.

[0122] Specifically, the conveyor belt 1 may include a belt 9 and idlers 10; material 11 can be placed on the belt; a discharge hopper 12 may also be provided inside the dust collector hood. The dust removal equipment can be connected to the dust collector hood via a dust removal pipe 13. The infrared moisture content monitoring device can be an infrared moisture detector, and the total suspended particulate matter monitoring device can be a total suspended particulate matter (TSP) detector. The video monitoring device can be a camera. When deploying the video monitoring device, ensure that the device is precisely aligned with the center of the opening at the intersection of the conveyor belt and the dust collector hood, and maintains a specified distance from the opening of the dust collector hood. This configuration will optimize the measurement accuracy of the dust concentration F. The belt can pass through a rectangular frame, and the video monitoring device is deployed on the rectangular frame with the lens facing the opening of the dust collector hood. The infrared moisture detector can be arranged inside the rectangular frame.

[0123] This application also provides an application example of a conveyor belt dust treatment system. In this application example, the system combines advanced software technologies such as big data analysis and video analysis with key hardware facilities such as video monitoring devices, infrared moisture content monitoring devices, and total suspended particulate matter (TSP) monitoring devices. Through the organic combination of software and hardware, intelligent monitoring and management of the conveyor belt can be achieved. Real-time monitoring of dust generated during belt conveying is achieved through technologies such as infrared moisture content monitoring, intelligent video analysis, and TSP monitoring. The automatic monitoring and control system automatically performs analysis and calculations to accurately determine the target control quantities of the dust removal equipment. The target control quantities may include at least one of the following: the required dust collector power, air volume, and dry fog dust suppression spray volume. Based on this, the dust removal equipment (dry fog) is precisely adjusted to ensure that the air volume or spray volume reaches the optimal state, thereby effectively achieving a synergistic effect of pollution reduction and carbon emission reduction. Figure 9 As shown in the example, this system includes: an automatic monitoring and control system, a smart ecological platform big data resource pool, an infrared moisture content monitoring device, a video surveillance device, a TSP monitoring device, and dust removal equipment. The dust removal equipment is either a dust collector or a dry fog dust suppression control system. The automatic monitoring and control system and the smart ecological platform big data resource pool can be deployed on the aforementioned server.

[0124] This application discloses a computer program product, which includes a computer program that, when executed by a processor, implements the following method:

[0125] The moisture content of the material being transported by the conveyor belt, the monitoring image at the opening of the dust collector hood, and the first dust concentration at the opening monitored by the total suspended particulate matter monitoring device are obtained. The unloading end of the conveyor belt extends into the dust collector hood through the opening.

[0126] Based on the monitoring images, determine the second dust concentration at the opening;

[0127] The target control quantity is determined based on the moisture content of the transported material, the first dust concentration, and the second dust concentration.

[0128] The control quantity of the dust removal equipment is adjusted according to the target control quantity to complete the dust treatment of the conveyor belt.

[0129] This application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the following method:

[0130] The moisture content of the material being transported by the conveyor belt, the monitoring image at the opening of the dust collector hood, and the first dust concentration at the opening monitored by the total suspended particulate matter monitoring device are obtained. The unloading end of the conveyor belt extends into the dust collector hood through the opening.

[0131] Based on the monitoring images, determine the second dust concentration at the opening;

[0132] The target control quantity is determined based on the moisture content of the transported material, the first dust concentration, and the second dust concentration.

[0133] The control quantity of the dust removal equipment is adjusted according to the target control quantity to complete the dust treatment of the conveyor belt.

[0134] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0135] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0136] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0137] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0138] In the description of this specification, the references to terms such as "an embodiment," "a specific embodiment," "some embodiments," "for example," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0139] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for treating dust from a conveyor belt, characterized in that, include: The moisture content of the material being transported by the conveyor belt, the monitoring image at the opening of the dust collector hood, and the first dust concentration at the opening monitored by the total suspended particulate matter monitoring device are obtained. The unloading end of the conveyor belt extends into the dust collector hood through the opening. Based on the monitoring images, determine the second dust concentration at the opening; The target control quantity is determined based on the moisture content of the transported material, the first dust concentration, and the second dust concentration. The control quantity of the dust removal equipment is adjusted according to the target control quantity to complete the dust treatment of the conveyor belt.

2. The method for treating dust from a conveyor belt according to claim 1, characterized in that, Determining the second dust concentration at the opening based on the monitoring image includes: According to a preset image recognition model, dusty areas are identified from the monitoring images. The preset image recognition model is obtained by pre-training a deep learning model based on a batch of historical monitoring images and their corresponding actual dusty areas. Obtain the total number of pixels in the monitoring image and the number of pixels in the dusty area; The ratio of the number of pixels in the dust-generating area to the total number of pixels in the monitoring image is determined as the second dust concentration at the opening of the dust collector hood.

3. The method for treating dust from a conveyor belt according to claim 1, characterized in that, The determination of the target control quantity based on the moisture content of the transported material, the first dust concentration, and the second dust concentration includes: Determine whether the moisture content of the transported material, the first dust concentration, and the second dust concentration meet the preset dust conditions. If so, determine that the transport belt is dusty, obtain the current feedback coefficient, increase the current feedback coefficient according to the preset first adjustment rule, and update the current feedback coefficient to the increased feedback coefficient. The target control quantity is determined based on the current feedback coefficient, the moisture content of the transported material, the first dust concentration, and the second dust concentration.

4. The method for treating dust from a conveyor belt according to claim 1, characterized in that, The determination of the target control quantity based on the moisture content of the transported material, the first dust concentration, and the second dust concentration includes: If the moisture content of the transported material, the first dust concentration, and the second dust concentration do not meet the preset dust conditions, then it is determined that there is no dust on the transport belt. It is then determined whether the moisture content of the transported material, the first dust concentration, and the second dust concentration obtained in the previous test meet the preset dust conditions. If not, the current feedback coefficient is obtained, and the current feedback coefficient is reduced according to the preset second adjustment rule. The current feedback coefficient is then updated to the reduced feedback coefficient. The target control quantity is determined based on the current feedback coefficient, the moisture content of the transported material, the first dust concentration, and the second dust concentration.

5. The method for treating dust from a conveyor belt according to claim 4, characterized in that, After determining whether the moisture content of the transported material, the first dust concentration, and the second dust concentration obtained in the previous step meet the preset dust conditions, the method further includes: If the moisture content of the transported material, the first dust concentration, and the second dust concentration obtained in the previous test meet the preset dust conditions, then the current feedback coefficient is obtained, and the target control quantity is determined based on the current feedback coefficient, the moisture content of the transported material, the first dust concentration, and the second dust concentration.

6. The method for treating dust from a conveyor belt according to any one of claims 3 to 5, characterized in that, The determination of the target control quantity based on the current feedback coefficient, the moisture content of the transported material, the first dust concentration, and the second dust concentration includes: Determine the target control quantity C according to the following formula: C=(1-H)×F×T×K Where H is the moisture content of the transported material, F is the second dust concentration, T is the first dust concentration, and K is the current feedback coefficient.

7. The method for treating dust from a conveyor belt according to claim 1, characterized in that, The target control quantity is: target dust collector power or target dry fog dust suppression spray volume.

8. The method for treating dust from a conveyor belt according to claim 1, characterized in that, The step of adjusting the control quantity of the dust removal equipment according to the target control quantity to complete the dust treatment of the conveyor belt includes: The control quantity of the dust removal equipment is adjusted to the target control quantity to complete the dust treatment of the conveyor belt.

9. A dust treatment device for a conveyor belt, characterized in that, include: The acquisition module is used to acquire the moisture content of the material being transported by the conveyor belt, the monitoring image at the opening of the dust collector hood, and the first dust concentration at the opening monitored by the total suspended particulate matter monitoring device. The unloading end of the conveyor belt extends into the dust collector hood through the opening. The first determining module is used to determine the second dust concentration at the opening based on the monitoring image; The second determining module is used to determine the target control quantity based on the moisture content of the transported material, the first dust concentration, and the second dust concentration. The processing module is used to adjust the control quantity of the dust removal equipment according to the target control quantity, so as to complete the dust treatment of the conveyor belt.

10. A server, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the server executes the program, it implements the steps of the conveyor belt dust treatment method according to any one of claims 1 to 8.

11. A dust treatment system for a conveyor belt, characterized in that, include: Total suspended particulate matter monitoring device, video surveillance device, infrared moisture content monitoring device, dust removal equipment, and the server as described in claim 10; The video monitoring device and the infrared moisture content monitoring device are both installed at the conveyor belt, and the total suspended particulate matter monitoring device is installed at the opening of the dust removal hood; the dust removal equipment is connected to the dust removal hood; the server is communicatively connected to the total suspended particulate matter monitoring device, the video monitoring device, the infrared moisture content monitoring device, and the dust removal equipment respectively. The video surveillance device is used to acquire monitoring images of the open opening of the dust collector hood; The infrared moisture monitoring device is used to monitor the moisture content of the material being transported by the conveyor belt; The dust removal equipment is used to remove dust from the conveyor belt.

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