Mine material detection method, device and equipment based on belt scale system

Abstract

The embodiment of the application provides a kind of mine material detection method, device and equipment based on belt scale system, belong to mine material conveying measurement technical field.The method comprises: in the conveying process of conveyor belt, the visual information of mine material on conveyor belt collected by image acquisition device in detection equipment is acquired, and the real-time weight value collected by weighing sensor in detection equipment is acquired;According to the visual information collected by detection equipment, determine the first weight value;According to the real-time weight value and the preset tare value collected by detection equipment, determine the second weight value;When volume value and real-time weight value are not zero, according to the first weight value and the second weight value corresponding to multiple detection equipment, determine the total weight value of all mine materials on conveyor belt.The scheme can always keep accurate measurement of the weight of mine material.

Description

Technical Field

[0001] This application relates to the field of mining material conveying and metering technology, and in particular to a method, apparatus and equipment for detecting mining materials based on a belt scale system. Background Technology

[0002] After the ore is extracted, it needs to be transported via conveyor belts. During the transportation process, the weight of the ore on the conveyor belt needs to be monitored.

[0003] In the prior art, a weighing sensor is installed on the conveyor belt, and the weight of the mining material on the conveyor belt is measured based on the weighing sensor.

[0004] However, the above methods are prone to inaccurate weight readings from the weighing sensors due to harsh operating conditions such as high dust levels, strong vibrations, and material sticking to the conveyor belt. Therefore, there is an urgent need for a solution that can accurately determine the weight of the ore on the conveyor belt. Summary of the Invention

[0005] This application provides a method, apparatus, and equipment for detecting mining materials based on a belt scale system, so as to accurately determine the weight of mining materials on the conveyor belt.

[0006] In a first aspect, embodiments of this application provide a method for detecting mining materials based on a belt scale system. The belt scale system is equipped with multiple sets of detection devices, each including a weighing sensor mounted on the conveyor belt of the belt scale system and an image acquisition device positioned above the conveyor belt. The method includes:

[0007] During the conveying process of the conveyor belt, visual information of the mining materials on the conveyor belt is acquired by the image acquisition device in the detection equipment, and real-time weight value is acquired by the weighing sensor in the detection equipment.

[0008] Based on the visual information collected by the detection device, the volume value of the mineral material corresponding to the detection device on the conveyor belt is determined, and based on the volume value and the preset density, the first weight value of the mineral material corresponding to the detection device on the conveyor belt is determined; wherein, the preset density represents the density of the mineral material;

[0009] Based on the real-time weight value collected by the detection device and the preset tare value, a second weight value of the mining material on the conveyor belt corresponding to the detection device is determined; wherein, the preset tare value represents the weight of the conveyor belt;

[0010] When both the volume value and the real-time weight value are not zero, the total weight of all mining materials on the conveyor belt is determined based on the first weight value and the second weight value corresponding to the multiple detection devices.

[0011] In one possible implementation, along the conveyor belt's transport direction, the image acquisition device and weighing sensor in the same group of detection equipment are deployed sequentially; during the conveyor belt's transport process, visual information of the mining materials on the conveyor belt is acquired by the image acquisition device in the detection equipment, and real-time weight values ​​are acquired by the weighing sensors in the detection equipment, including:

[0012] During the conveying process of the conveyor belt, at the first moment, the visual information of the mining material collected by the image acquisition device in the detection equipment is acquired;

[0013] At a second moment later than the first moment, the real-time weight value collected by the weighing sensor in the detection device is acquired;

[0014] The time difference between the second time point and the first time point is a preset time difference value.

[0015] In one possible implementation, the method further includes:

[0016] The preset time difference is determined based on the running speed of the conveyor belt and the preset spacing value; wherein the preset spacing value represents the lateral distance between the image acquisition device and the weighing sensor in the same group of detection equipment.

[0017] In one possible implementation, the image acquisition device includes a mine explosion-proof laser emitter and a mine explosion-proof camera; based on the visual information acquired by the detection equipment, determining the volume of the mine material on the conveyor belt corresponding to the detection equipment includes:

[0018] Based on the boundary values ​​collected by the explosion-proof laser emitter in the detection equipment, the cross-sectional area of ​​the mining material in the image collected by the explosion-proof camera in the detection equipment is determined.

[0019] Based on the cross-sectional area and the preset length, the volume of the mining material on the conveyor belt corresponding to the detection equipment is determined.

[0020] In one possible implementation, determining the total weight of all mining materials on the conveyor belt based on a first weight value and a second weight value corresponding to the plurality of detection devices includes:

[0021] If it is determined that the difference between one of the first weight values ​​and the other first weight values ​​among the multiple first weight values ​​is greater than the first weight threshold, and the difference between each pair of first weight values ​​among the other first weight values ​​among the multiple first weight values ​​is less than the second weight threshold, then it is determined that the image acquisition device corresponding to the first weight value has malfunctioned, and visual volume calibration processing is performed on the image acquisition device corresponding to the first weight value.

[0022] If it is determined that the difference between one of the second weight values ​​and the other second weight values ​​among the plurality of second weight values ​​is greater than a first weight threshold, and the difference between each pair of second weight values ​​among the other second weight values ​​is less than the second weight threshold, then it is determined that the weighing sensor corresponding to the second weight value is faulty, and zero-point reference calibration is performed on the weighing sensor corresponding to the second weight value; wherein, the first weight threshold is greater than the second weight threshold;

[0023] If it is determined that the difference between each pair of first weight values ​​among the plurality of first weight values ​​is less than the second weight threshold, then the total weight value of all mining materials on the conveyor belt is determined based on the sum of the first weight values ​​and the second weight values ​​corresponding to the plurality of detection devices.

[0024] In one possible implementation, the visual volume calibration process includes:

[0025] Based on the cross-sectional area of ​​the i-th frame of the calibrated mineral material acquired by the image acquisition device in the detection equipment, the preset time interval, and the running speed of the conveyor belt, the volume parameters of the calibrated mineral material corresponding to the detection equipment are determined.

[0026] The third weight value is determined based on the real-time weight value collected by the weighing sensor in the detection equipment, the running speed of the conveyor belt, the preset time interval, the preset length of the calibrated mining material, and the preset tare weight value.

[0027] The first density of the calibrated mine material is determined based on the third weight value and the volume parameter.

[0028] The preset coefficient of the conveyor belt is updated based on the first density and the second density; wherein the second density is the expected density of the calibrated mining material.

[0029] Based on the updated preset coefficients and the real-time weight values ​​collected by the weighing sensors in the same group of detection devices, a fourth weight value is determined; and based on the fourth weight value and preset volume parameters, a preset density corresponding to the image acquisition device in the detection device is determined to complete the visual volume calibration process.

[0030] In one possible implementation, prior to completing the visual volume calibration process, the method further includes:

[0031] Based on the preset density obtained multiple times, the density standard deviation is determined; and based on the density standard deviation and the first density, the variation parameter is determined.

[0032] If the value of the variation parameter is determined to be less than the preset parameter value, then the visual volume calibration process is considered complete.

[0033] In one possible implementation, the belt scale system includes a vision sensor, and multiple visual markers are arranged on the conveyor belt at preset intervals; the zero-point reference calibration process includes:

[0034] When it is determined that the visual sensor has acquired a visual identifier at the third moment, the fifth weight value at each moment acquired by the weighing sensor is continuously acquired.

[0035] If it is determined that the visual sensor acquires the visual identifier at a fourth time later than the third time, then the average of the fifth weight values ​​obtained between the third time and the fourth time is used as the preset tare value to complete the zero-point reference calibration process.

[0036] In one possible implementation, the method further includes:

[0037] If the volume value is determined to be zero and the second weight value is determined to be zero, then the conveyor belt is determined to be in an empty belt operation state, and after a preset time period, the weighing sensor is subjected to zero-point reference calibration.

[0038] If it is determined that the volume value is not zero and the second weight value is zero, then the weight difference between the first weight value and the second weight value is determined, and if the weight difference is obtained multiple times and is greater than a preset difference threshold, then the weighing sensor is subjected to zero-point reference calibration.

[0039] Secondly, embodiments of this application provide a detection device for mine materials based on a belt scale system. The belt scale system is equipped with multiple sets of detection devices. Each detection device includes a weighing sensor mounted on the conveyor belt of the belt scale system, and an image acquisition device mounted above the conveyor belt. The device includes:

[0040] The acquisition module is used to acquire visual information of the mining materials on the conveyor belt collected by the image acquisition device in the detection equipment during the conveying process of the conveyor belt, and to acquire the real-time weight value collected by the weighing sensor in the detection equipment.

[0041] The first determining module is used to determine the volume value of the mineral material corresponding to the detection device on the conveyor belt based on the visual information collected by the detection device, and to determine the first weight value of the mineral material corresponding to the detection device on the conveyor belt based on the volume value and the preset density; wherein, the preset density represents the density of the mineral material;

[0042] The second determining module is used to determine the second weight value of the mining material on the conveyor belt corresponding to the detection device based on the real-time weight value collected by the detection device and the preset tare value; wherein, the preset tare value represents the weight of the conveyor belt;

[0043] The third determining module is used to determine the total weight of all mining materials on the conveyor belt based on the first weight value and the second weight value corresponding to the multiple detection devices when both the volume value and the real-time weight value are not zero.

[0044] Thirdly, embodiments of this application provide an electronic device, including: a memory and a processor;

[0045] The memory stores computer-executed instructions;

[0046] The processor executes computer execution instructions stored in the memory, causing the processor to perform the first aspect and / or various possible implementations of the first aspect as described above.

[0047] Fourthly, embodiments of this application provide a belt scale system, the belt scale system including the electronic equipment described above;

[0048] The belt scale system is equipped with multiple sets of detection devices, including weighing sensors installed on the conveyor belt of the belt scale system and an image acquisition device installed above the conveyor belt.

[0049] In one possible implementation, along the conveyor belt's transport direction, the image acquisition device and weighing sensor in the same group of detection equipment are deployed sequentially;

[0050] The image acquisition device includes a mine explosion-proof laser transmitter and a mine explosion-proof camera;

[0051] The detection device also includes a weighing unit connected to the weighing sensor; the detection device also includes a monitoring camera.

[0052] Fifthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the first aspect and / or various possible implementations of the first aspect.

[0053] In a sixth aspect, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the first aspect and / or various possible implementations of the first aspect.

[0054] The method, apparatus, and equipment for detecting mineral materials based on a belt scale system provided in this application acquire visual information of the mineral materials on the conveyor belt through a camera acquisition device during the conveying process, and acquire real-time weight values ​​collected by a weighing sensor in the detection equipment. Then, based on the visual information acquired by the detection equipment, the volume of the mineral materials corresponding to the detection equipment on the conveyor belt is determined. Based on the volume value and a preset density, a first weight value of the mineral materials corresponding to the detection equipment on the conveyor belt is determined. Based on the real-time weight value acquired by the detection equipment and a preset tare value, a second weight value of the mineral materials corresponding to the detection equipment on the conveyor belt is determined. Finally, when both the volume value and the real-time weight value are not zero, the total weight value of all mineral materials on the conveyor belt is accurately determined based on the first and second weight values ​​corresponding to multiple detection equipment. Attached Figure Description

[0055] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0056] Figure 1 This application scenario illustrates the method for detecting mining materials based on a belt scale system provided in this application. Figure 1 ;

[0057] Figure 2 This application scenario illustrates the method for detecting mining materials based on a belt scale system provided in this application. Figure 2 ;

[0058] Figure 3 A flowchart illustrating the method for detecting mining materials based on a belt scale system provided in this application;

[0059] Figure 4 A schematic diagram of the structure of the mining material detection device based on the belt scale system provided in this application;

[0060] Figure 5 A schematic diagram of the structure of the electronic device provided in this application.

[0061] The diagram is labeled as follows: 100 - Visual identifier; 101 - Computer; 102 - Intrinsically safe information transmission interface for mining; 103 - Intelligent metering terminal; 104 - First weighing unit; 105 - First weighing sensor; 106 - First explosion-proof laser emitter for mining; 107 - First explosion-proof camera for mining; 108 - Speed ​​sensor; 109 - Vibration sensor; 110 - Visual sensor; 111 - First monitoring camera; 112 - First automatic bar weight loading device; 113 - Second automatic bar weight loading device; 114 - Second weighing unit; 115 - Second weighing sensor; 116 - Second explosion-proof laser emitter for mining; 117 - Second explosion-proof camera for mining. ; 118-Second monitoring camera; 119-Third automatic bar loading device; 120-Fourth automatic bar loading device; 121-Third monitoring camera; 122-Third weighing unit; 123-Third weighing sensor; 124-Third mine explosion-proof laser emitter; 125-Third mine explosion-proof camera; 126-Fifth automatic bar loading device; 127-Sixth automatic bar loading device; 128-Fourth monitoring camera; 129-Fourth weighing unit; 130-Fourth weighing sensor; 131-Fourth mine explosion-proof laser emitter; 132-Fourth mine explosion-proof camera; 133-Seventh automatic bar loading device; 134-Eighth automatic bar loading device.

[0062] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0063] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0064] Belt scales are key equipment used in mines and other similar locations for continuously measuring the weight of mining materials. The accuracy of belt scale measurements directly affects trade settlement, cost accounting, and production efficiency. Weighing sensors are installed on the conveyor belt of the belt scale, and the scale uses these sensors to detect the weight of the mining materials.

[0065] Due to factors such as high dust levels, strong vibrations, and material sticking to the belt, the load cell may experience zero-point drift, leading to inaccurate measurement results from the belt scale.

[0066] For example, dust accumulation on a load cell can create additional mechanical stress, causing the load cell to generate false signals; fine dust entering the load cell can affect its electrical characteristics.

[0067] For example, strong vibrations can cause micro-deformation of the elastomer in a load cell, altering its initial stress state.

[0068] For example, the sticky material on the conveyor belt is continuously detected by the weighing sensor, permanently raising the zero-point reference.

[0069] In response to the problems existing in the prior art, the inventors discovered during their research on a detection scheme for mining materials based on a belt scale system that by setting up multiple sets of detection devices on the belt scale system, each set of detection devices includes a weighing sensor and an image acquisition device, and a computer continuously monitors the weight values ​​collected by multiple sets of detection devices, if a significant abnormality is found in the weight value of a certain set of detection devices (or a specific detection device), the system automatically calibrates that set of detection devices (or the specific detection device). That is, without stopping the belt scale, when a significant abnormality in the weight value of a detection device is found, it is immediately corrected, ensuring that production efficiency, trade settlement, and cost accounting are not affected.

[0070] Based on the above-mentioned inventive concept, the detection scheme for mining materials based on the belt scale system in this application was designed.

[0071] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0072] Figure 1 This application scenario illustrates the method for detecting mining materials based on a belt scale system provided in this application. Figure 1 ; Figure 2 This application scenario illustrates the method for detecting mining materials based on a belt scale system provided in this application. Figure 2 It should be noted that, Figure 1 and Figure 2 Essentially, it's a complete diagram. For clarity, a complete application scenario diagram is broken down into... Figure 1 and Figure 2 .like Figure 1 and Figure 2As shown, computer 101 communicates with intrinsically safe mining information transmission interface 102 via Ethernet. Intrinsically safe mining information transmission interface 102 communicates with intelligent metering terminal 103 via Ethernet. Intelligent metering terminal 103 communicates with first weighing unit 104 based on RS485 communication standard. First weighing unit 104 is connected to second weighing unit 114. Second weighing unit 114 is connected to third weighing unit 122. Third weighing unit 122 is connected to fourth weighing unit 129.

[0073] The visual sensor 110, first monitoring camera 111, second monitoring camera 118, third monitoring camera 121, fourth monitoring camera 128, speed sensor 108, vibration sensor 109, first automatic bar code loading device 112, second automatic bar code loading device 113, third automatic bar code loading device 119, fourth automatic bar code loading device 120, fifth automatic bar code loading device 126, sixth automatic bar code loading device 127, first mine explosion-proof laser emitter 106, first mine explosion-proof camera 107, second mine explosion-proof laser emitter 116, second mine explosion-proof camera 117, third mine explosion-proof laser emitter 124, third mine explosion-proof camera 125, fourth mine explosion-proof laser emitter 131, and fourth mine explosion-proof camera 132 used for detecting visual signs 100 are all connected to computer 101.

[0074] The second weighing sensor 115 is connected to the second weighing unit 114, the third weighing unit 122 is connected to the third weighing sensor 123, and the fourth weighing sensor 130 is connected to the fourth weighing unit 129.

[0075] When the vibration sensor 109 detects a signal that the conveyor belt has stopped running, it will automatically shut down the first explosion-proof laser emitter 106 to extend its service life. The vibration spectrum data collected in real time by the vibration sensor 109 will be incorporated into the metrology model of the computer 101 to correct for high-frequency interference caused by mechanical vibration and improve metrology stability.

[0076] The conveyor belt is 150 meters long.

[0077] The distance between the first weighing unit 104 and the second weighing unit 114 is 10 meters. An image acquisition device is securely installed about 1.5 meters above the first weighing unit 104. It should be noted that the image acquisition device is not installed directly above the first weighing unit 104.

[0078] On the non-working side edge of the conveyor belt, a visual marker 100 made of a highly reflective material is coated. The probe of the vision sensor 110 is pointed vertically and slightly at an angle toward the visual marker 100.

[0079] Figure 3 The flowchart illustrates the method for detecting mining materials based on a belt scale system provided in this application. Figure 3 As shown, the method includes:

[0080] S301. During the conveyor belt conveying process, visual information of the mining materials on the conveyor belt is acquired by the image acquisition device in the detection equipment, and real-time weight value is acquired by the weighing sensor in the detection equipment.

[0081] For example, during the conveyor belt's operation, the entire belt scale system has been started. The conveyor belt moves from right to left.

[0082] For example, this step involves two acquisition actions. One acquisition action is to acquire visual information about the mining material on the conveyor belt that affects the acquisition device; the other acquisition action is to acquire the real-time weight value collected by the weighing sensor in the detection equipment. The first acquisition action only acquires visual information, not the weight value, while the second acquisition action acquires the weight value. The purpose of setting up the image acquisition device is to calibrate the weighing sensor.

[0083] S302. Based on the visual information collected by the detection equipment, determine the volume value of the mining material on the conveyor belt corresponding to the detection equipment, and determine the first weight value of the mining material on the conveyor belt corresponding to the detection equipment based on the volume value and the preset density; wherein, the preset density represents the density of the mining material.

[0084] For example, the direct purpose of acquiring the visual information collected by the detection equipment is to determine the volume value of the mineral material on the conveyor belt corresponding to the detection equipment. After determining the volume value of the mineral material, the first weight value of the mineral material on the conveyor belt corresponding to the detection equipment is determined according to the preset density.

[0085] The purpose of determining the first weight value is to combine it with the subsequent second weight value to determine whether the conditions for determining the total weight value of all mining materials on the conveyor belt are met.

[0086] S303. Based on the real-time weight value collected by the detection equipment and the preset tare value, determine the second weight value of the mining material on the conveyor belt corresponding to the detection equipment; wherein, the preset tare value represents the weight of the conveyor belt.

[0087] For example, the second weight value of the mining material on the conveyor belt corresponding to the detection equipment is determined by the real-time weight value collected by the weighing sensor and the preset tare value.

[0088] For example, the second weight value is the real-time weight value minus the preset tare value.

[0089] S304. When both the volume value and the real-time weight value are not zero, determine the total weight value of all mining materials on the conveyor belt based on the first weight value and the second weight value corresponding to multiple detection devices.

[0090] For example, when both the volume value and the real-time weight value are not zero, and all weighing sensors and image acquisition devices are working normally, the total weight of all mining materials on the conveyor belt is determined based on the accurate first weight value and accurate second weight value corresponding to multiple detection devices.

[0091] For example, if there are first weight values ​​from four weighing sensors, the four first weight values ​​are added together; if there are second weight values ​​acquired by the image acquisition device, the four second weight values ​​are added together.

[0092] It is generally recommended to add the four first weight values ​​to obtain the total weight of all the mining materials on the conveyor belt.

[0093] The method for detecting mineral materials based on a belt scale system provided in this application acquires visual information of the mineral materials on the conveyor belt collected by the image acquisition device in the detection equipment, and simultaneously acquires real-time weight values ​​collected by the weighing sensors in the detection equipment. Based on the visual information acquired by the detection equipment, the volume of the mineral materials on the conveyor belt corresponding to the detection equipment is determined. Then, based on the volume value and a preset density, a first weight value of the mineral materials on the conveyor belt corresponding to the detection equipment is determined. Next, based on the real-time weight value acquired by the detection equipment and a preset tare value, a second weight value of the mineral materials on the conveyor belt corresponding to the detection equipment is determined. Finally, when both the volume value and the real-time weight value are not zero, and all weighing sensors are functioning normally, and / or the image acquisition device is functioning normally, the total weight value of all mineral materials on the conveyor belt is determined based on the first and second weight values ​​corresponding to multiple detection devices, thus achieving the effect of accurately measuring the weight of the mineral materials.

[0094] In one example, along the conveyor belt's transport direction, the image acquisition device and weighing sensor in the same group of detection equipment are deployed sequentially. During the conveyor belt's transport process, the visual information of the mining material on the conveyor belt collected by the image acquisition device in the detection equipment is acquired, and the real-time weight value collected by the weighing sensor in the detection equipment is acquired. This includes: during the conveyor belt's transport process, at a first moment, acquiring the visual information of the mining material collected by the image acquisition device in the detection equipment; and at a second moment later than the first moment, acquiring the real-time weight value collected by the weighing sensor in the detection equipment. The time difference between the second moment and the first moment is a preset time difference value.

[0095] For example, along the conveyor belt's transport direction, from right to left, in the same group of detection equipment, the image acquisition device is deployed at the right end, and the weighing sensor is deployed at the left end. When a batch of ore passes the image acquisition device at the first moment, the image acquisition device acquires the visual information of that batch of ore. After acquiring the visual information of the batch of ore, the conveyor belt continues to transport. At a second moment, later than the first moment, when the batch of ore passes the weighing sensor, the weighing sensor weighs the batch of ore to obtain a real-time weight value.

[0096] It should be noted that the time difference between the second moment and the first moment is a preset time difference value.

[0097] In one example, a preset time difference is determined based on the conveyor belt's running speed and a preset spacing value, where the preset spacing value represents the lateral distance between the image acquisition device and the weighing sensor in the same group of detection equipment.

[0098] For example, when configuring the hardware architecture of this application, an image acquisition device and a weighing sensor are installed. After installation, the image acquisition device and the weighing sensor cannot be in the same position; there will be a lateral distance between them. Dividing the preset distance value by the running speed of the conveyor belt yields the preset time difference value.

[0099] This embodiment ensures that the image acquisition device and the weighing sensor are working on the same pile of ore materials.

[0100] In one example, the image acquisition device includes a mine explosion-proof laser emitter and a mine explosion-proof camera. Based on the visual information acquired by the detection equipment, the volume of the mining material corresponding to the detection equipment on the conveyor belt is determined, including: determining the cross-sectional area of ​​the mining material in the image acquired by the mine explosion-proof camera in the detection equipment based on the boundary values ​​acquired by the mine explosion-proof laser emitter in the detection equipment; and determining the volume of the mining material corresponding to the detection equipment on the conveyor belt based on the cross-sectional area and a preset length.

[0101] For example, a mine explosion-proof laser emitter emits a laser line above the conveyor belt, spanning across the mine material.

[0102] When this laser line hits the surface of the ore material, it will deform due to the height profile of the ore material. By detecting the deformed laser, the height profile of the ore material surface relative to the conveyor belt plane can be accurately calculated, thus obtaining the boundary value.

[0103] The boundary values ​​are precisely matched and aligned with the two-dimensional images captured by the explosion-proof mining camera in the spatial coordinate system; the bottom and side boundaries of the conveyor belt are identified in the two-dimensional image, and then the closed geometry of the cross-section of the mining material is reconstructed; the closed geometry is measured pixel by pixel and converted by unit to obtain the cross-sectional area of ​​the mining material.

[0104] The volume of the mining material can be obtained by multiplying the cross-sectional area by the preset length.

[0105] For example, the preset length refers to the product of the belt running speed and the sampling time interval.

[0106] This embodiment introduces a method for calculating the volume of mining materials.

[0107] In one example, the total weight of all materials on the conveyor belt is determined based on the first weight value and the second weight value corresponding to multiple detection devices. This includes: if the difference between one of the first weight values ​​and the other first weight values ​​among the multiple first weight values ​​is greater than a first weight threshold, and the difference between each pair of first weight values ​​among the other first weight values ​​is less than a second weight threshold, then the image acquisition device corresponding to the first weight value is determined to be faulty, and visual volume calibration processing is performed on the image acquisition device corresponding to the first weight value.

[0108] For example, the difference between the weight value indirectly obtained from the first image acquisition device consisting of the first mine explosion-proof laser emitter 106 and the first mine explosion-proof camera 107 and the weight value indirectly obtained from the second image acquisition device consisting of the first mine explosion-proof laser emitter 116 and the first mine explosion-proof camera 117 is greater than a first weight threshold; the difference between the weight value indirectly obtained from the first image acquisition device consisting of the first mine explosion-proof laser emitter 106 and the first mine explosion-proof camera 107 and the weight value indirectly obtained from the third image acquisition device consisting of the third mine explosion-proof laser emitter 124 and the third mine explosion-proof camera 125 is greater than a first weight threshold; and the difference between the weight value indirectly obtained from the first image acquisition device consisting of the first mine explosion-proof laser emitter 106 and the first mine explosion-proof camera 107 and the weight value indirectly obtained from the fourth image acquisition device consisting of the fourth mine explosion-proof laser emitter 131 and the fourth mine explosion-proof camera 132 is greater than a first weight threshold.

[0109] Furthermore, if the difference between the weight value indirectly obtained from the second image acquisition device and the weight value indirectly obtained from the third image acquisition device is less than the second weight threshold, the difference between the weight value indirectly obtained from the third image acquisition device and the weight value indirectly obtained from the fourth image acquisition device is less than the second weight threshold, and the difference between the weight value indirectly obtained from the second image acquisition device and the weight value indirectly obtained from the fourth image acquisition device is less than the second weight threshold, then it is determined that the first image acquisition device has malfunctioned, and visual volume calibration processing is performed on the first image acquisition device.

[0110] In one example, the visual volume calibration process includes: determining the volume parameters of the calibration ore material corresponding to the detection equipment based on the cross-sectional area of ​​the i-th frame of the calibration ore material acquired by the image acquisition device in the detection equipment, a preset time interval, and the running speed of the conveyor belt; determining a third weight value based on the real-time weight value acquired by the weighing sensor in the detection equipment, the running speed of the conveyor belt, the preset time interval, the preset length of the calibration ore material, and the preset tare weight value; determining a first density of the calibration ore material based on the third weight value and the volume parameters; updating the preset coefficient of the conveyor belt based on the first density and the second density, wherein the second density is the expected density of the calibration ore material; determining a fourth weight value based on the updated preset coefficient and the real-time weight value acquired by the weighing sensor in the same group of detection equipment; and determining the preset density corresponding to the image acquisition device in the detection equipment based on the fourth weight value and the preset volume parameters, thereby completing the visual volume calibration process.

[0111] For example, performing visual volume calibration processing on the first image acquisition device includes:

[0112] Based on the cross-sectional area of ​​the i-th frame of the calibrated mineral material acquired by the first image acquisition device, the preset time interval, and the running speed of the conveyor belt, the volume parameters of the calibrated mineral material are determined, that is, according to the formula... Determine the volumetric parameters of the calibrated mine materials. ,in, Represents the cross-sectional area of ​​the i-th frame. Indicates the preset time interval. This indicates the operating speed of the conveyor belt.

[0113] According to the real-time weight value collected by the first weighing sensor 105 Conveyor belt running speed Preset time interval , calibrating the preset length of mining materials and preset tare weight value Determine the third weight value That is, according to the formula The third weight value was calculated. ;

[0114] According to the third weight value and volume parameters To determine the first density of the calibrated mine material, that is, according to the formula... Calculate the first density of the calibrated mine material. ;

[0115] According to the first density Second density Preset coefficient for old conveyor belts Update the settings to obtain the new preset coefficients for the conveyor belt. ;

[0116] According to the preset coefficient of the new conveyor belt The real-time weight value collected by the first weighing sensor Determine the fourth weight value That is, according to the formula ;

[0117] According to the fourth weight value and preset volume parameters Determine the preset density corresponding to the first image acquisition device, that is, according to the formula .

[0118] In one example, the process before completing visual volume calibration also includes:

[0119] Based on the preset density obtained multiple times Determine the standard deviation of density ; and based on the density standard deviation and first density Determine the variation parameters ;

[0120] If the variation parameters are determined If the value is less than the preset parameter value, then the visual volume calibration process is considered complete.

[0121] If the coefficient of variation is determined If the value is greater than or equal to the preset parameter value, the automatic bar weight loading device will perform bar weight calibration. The automatic bar weight loading device includes a first automatic bar weight loading device 112, a second automatic bar weight loading device 113, a third automatic bar weight loading device 119, a fourth automatic bar weight loading device 120, a fifth automatic bar weight loading device 126, a sixth automatic bar weight loading device 127, a seventh automatic bar weight loading device 133, and an eighth automatic bar weight loading device 134. The automatic bar weight loading device uses a precision linear motion system driven by a motor and controlled by multi-stage transmission components to realize the fully automatic reciprocating transport of standard bars between the "storage bin" and the "weighing position," thereby completing the safe, efficient, and highly repeatable automatic calibration of the belt scale.

[0122] Before the automatic barcode loading device performs barcode calibration, the surrounding environment must be monitored using surveillance cameras to ensure there are no personnel present and the area is safe before calibration can proceed. Barcode calibration is a fallback calibration strategy. The surveillance cameras include a first surveillance camera 111, a second surveillance camera 118, a third surveillance camera 121, and a fourth surveillance camera 128.

[0123] The automatic bar code loading device is a high-precision loading device that can periodically perform bar code calibration.

[0124] In one example, if it is determined that the difference between one of the multiple second weight values ​​and the other second weight values ​​is greater than the first weight threshold, and the difference between each pair of second weight values ​​is less than the second weight threshold, then it is determined that the weighing sensor corresponding to the one second weight value is faulty, and zero-point reference calibration is performed on the weighing sensor corresponding to the one second weight value.

[0125] For example, the difference between the weight value of the first weighing sensor 105 and the weight values ​​of the second weighing sensor 115, the third weighing sensor 123, and the fourth weighing sensor 130 is greater than the first weight threshold.

[0126] Furthermore, if the difference between the weight value of the second weighing sensor 115 and the weight value of the third weighing sensor 123 is less than the second weight threshold, the difference between the weight value of the third weighing sensor 123 and the weight value of the fourth weighing sensor 130 is less than the second weight threshold, and the difference between the weight value of the second weighing sensor 115 and the weight value of the fourth weighing sensor 130 is less than the second weight threshold, then it is determined that the first weighing sensor 105 is faulty, and zero-point reference calibration is performed on the first weighing sensor.

[0127] In one example, the belt scale system includes a vision sensor, and multiple visual markers are set on the conveyor belt at preset intervals; the zero-point reference calibration process includes: when it is determined that the vision sensor has collected a visual marker at a third time, continuously acquiring the fifth weight value at each time point collected by the weighing sensor; if it is determined that the vision sensor has collected a visual marker at a fourth time point later than the third time, then the average of the fifth weight values ​​acquired between the third and fourth times is used as the preset tare value to complete the zero-point reference calibration process.

[0128] For example, in determining the visual sensor at the third moment When visual identifier 300 is acquired, the fifth weight value at each moment is continuously acquired by the first weighing sensor 105.

[0129] If it is determined that the visual sensor is later than the third moment The fourth moment If visual identifier 300 is collected, then according to and The average of the fifth weight values ​​obtained between them is the preset tare weight value, which is the new zero point reference.

[0130] In one example, if it is determined that the difference between each pair of first weight values ​​is less than a second weight threshold, then the total weight of all mining materials on the conveyor belt is determined based on the sum of the first and second weight values ​​corresponding to the multiple detection devices.

[0131] For example, if it is determined that the difference between each pair of first weight values ​​is less than the second weight threshold, it indicates that the image acquisition device is working normally. If each weighing sensor is also working normally, that is, if it is determined that the difference between each pair of second weight values ​​is less than the second weight threshold, then the second weight values ​​are added together to obtain the total weight of all the mining materials on the conveyor belt, or the first weight values ​​are added together to obtain the total weight of all the mining materials on the conveyor belt, or the second weight values ​​and the first weight values ​​are added together and then divided by two to obtain the total weight of all the mining materials on the conveyor belt.

[0132] In one example, if the volume value is determined to be zero and the second weight value is zero, the conveyor belt is determined to be in an empty belt running state, and the zero-point reference calibration process is performed on the weighing sensor after a preset time period; if the volume value is determined to be non-zero and the second weight value is zero, the weight difference between the first weight value and the second weight value is determined, and the zero-point reference calibration process is performed on the weighing sensor if the weight difference obtained multiple times is greater than the preset difference threshold.

[0133] For example, if the volume value is determined to be zero and the second weight value of the weighing sensor is zero, that is, the two parameter values ​​of the same set of detection equipment correspond to each other, then the conveyor belt is determined to be in an empty belt running state, the current real-time tare weight value is recorded, and the real-time tare weight value is determined as the preset tare weight value. If a zero-point drift of the preset tare weight value is detected after a preset period of time, the weighing sensor is subjected to zero-point reference calibration.

[0134] For example, if the volume value is not zero and the second weight value is zero, it indicates that there is a problem with the weighing sensor. If it is determined that the weight difference between the first weight value and the second weight value is greater than a preset difference threshold multiple times, the weighing sensor is subjected to zero-point reference calibration.

[0135] This application also provides a method to achieve high-precision time matching of volume data and weight data through accurate time delay calculation and cross-correlation analysis. Of course, the preset time difference mentioned above is a recommended method, and the interpretation provided in this application is for reference only.

[0136] First, two completely different approaches are used to make preliminary estimations of the time delay between the sensors (weighing sensors and image acquisition devices): the data-driven approach directly compares the waveforms of the two sensors and finds the time point with the most similar waveforms through cross-correlation analysis. The offset of this time point is an estimated delay value, reflecting the truth seen by the data; the model-driven approach uses known physical formulas to calculate the theoretical delay, representing the truth told by physical laws. This yields two preliminary answers and their reliability (confidence level), preparing for the next step of precise determination.

[0137] Then, the intelligent arbitration and optimization program of particle filtering is initiated, simulating a group of particles, each representing a possible delay value. These particles are simultaneously tested by both the data path and the model path. The particle whose delay assumption matches the waveform similarity well and does not significantly violate the physical velocity model has a higher weight. After multiple rounds of screening, elimination, and focusing—that is, resampling and updating—all particles converge to an optimal value. This value integrates measured data and physical laws, making it more robust and accurate than any single-path estimate. After obtaining the optimal delay, it is applied to all data. Time axis alignment and reconstruction are completed using techniques such as spline interpolation. The algorithm continues to quality check the alignment results, calculating whether the waveform alignment error has decreased and whether the correlation has improved. If the quality check fails or a change in velocity is detected, parameter adjustment is automatically triggered, and the algorithm returns to the relevant steps for re-estimation, forming an intelligent closed loop of estimation-application-verification-adaptation, ensuring high accuracy in dynamically changing industrial environments.

[0138] Figure 4 This is a schematic diagram of the structure of the mining material detection device based on a belt scale system provided in this application, as shown below. Figure 4 As shown, the mining material detection device 40 based on a belt scale system provided in this embodiment includes:

[0139] The acquisition module 401 is used to acquire visual information of the mining materials on the conveyor belt collected by the image acquisition device in the detection equipment during the conveying process of the conveyor belt, and to acquire the real-time weight value collected by the weighing sensor in the detection equipment.

[0140] The first determining module 402 is used to determine the volume value of the mining material corresponding to the detection equipment on the conveyor belt based on the visual information collected by the detection equipment, and to determine the first weight value of the mining material corresponding to the detection equipment on the conveyor belt based on the volume value and the preset density; wherein, the preset density represents the density of the mining material.

[0141] The second determining module 403 is used to determine the second weight value of the mining material on the conveyor belt corresponding to the detection equipment based on the real-time weight value collected by the detection equipment and the preset tare value; wherein, the preset tare value represents the weight of the conveyor belt;

[0142] The third determining module 404 is used to determine the total weight of all mining materials on the conveyor belt based on the first weight value and the second weight value corresponding to multiple detection devices when both the volume value and the real-time weight value are not zero.

[0143] In one possible implementation, module 401 is also used for:

[0144] During the conveyor belt transport process, at the first moment, the visual information of the mining materials collected by the image acquisition device in the detection equipment is obtained;

[0145] At a second moment later than the first moment, the real-time weight value collected by the weighing sensor in the detection device is acquired;

[0146] The time difference between the second moment and the first moment is a preset time difference value.

[0147] In one possible implementation, the acquisition module 401 is further configured to:

[0148] Based on the running speed of the conveyor belt and the preset spacing value, a preset time difference is determined; whereby the preset spacing value represents the lateral distance between the image acquisition device and the weighing sensor in the same group of detection equipment.

[0149] In one possible implementation, the first determining module 402 is further configured to:

[0150] Based on the boundary values ​​collected by the explosion-proof laser emitter in the detection equipment, the cross-sectional area of ​​the mining material in the image collected by the explosion-proof camera in the detection equipment is determined.

[0151] Based on the cross-sectional area and preset length, determine the volume of the mining material on the conveyor belt corresponding to the detection equipment.

[0152] In one possible implementation, the third determining module 404 is further configured to:

[0153] If it is determined that the difference between one of the first weight values ​​and the other first weight values ​​among the multiple first weight values ​​is greater than the first weight threshold, and the difference between each pair of first weight values ​​among the other first weight values ​​among the multiple first weight values ​​is less than the second weight threshold, then it is determined that the image acquisition device corresponding to the first weight value has malfunctioned, and visual volume calibration processing is performed on the image acquisition device corresponding to the first weight value.

[0154] If the difference between one of the multiple second weight values ​​and the other second weight values ​​is greater than the first weight threshold, and the difference between each pair of second weight values ​​is less than the second weight threshold, then the weighing sensor corresponding to the first second weight value is determined to be faulty, and zero-point reference calibration is performed on the weighing sensor corresponding to the first second weight value; wherein the first weight threshold is greater than the second weight threshold.

[0155] If it is determined that the difference between each pair of first weight values ​​is less than the second weight threshold, then the total weight of all mining materials on the conveyor belt is determined based on the sum of the first and second weight values ​​corresponding to the multiple detection devices.

[0156] In one possible implementation, the third determining module 404 is further configured to:

[0157] Based on the cross-sectional area of ​​the i-th frame of the calibrated mineral material acquired by the image acquisition device in the testing equipment, the preset time interval, and the running speed of the conveyor belt, the volume parameters of the calibrated mineral material corresponding to the testing equipment are determined.

[0158] The third weight value is determined based on the real-time weight value collected by the weighing sensor in the testing equipment, the running speed of the conveyor belt, the preset time interval, the preset length of the calibrated mining material, and the preset tare weight value.

[0159] The first density of the calibrated mining material is determined based on the third weight value and volume parameter;

[0160] The preset coefficients of the conveyor belt are updated based on the first density and the second density; where the second density is the expected density of the calibrated mining material.

[0161] Based on the updated preset coefficients and the real-time weight values ​​collected by the weighing sensors in the same group of testing equipment, a fourth weight value is determined; and based on the fourth weight value and the preset volume parameters, the preset density corresponding to the image acquisition device in the testing equipment is determined to complete the visual volume calibration process.

[0162] In one possible implementation, the third determining module 404 is further configured to:

[0163] Based on the preset density obtained multiple times, the density standard deviation is determined; and based on the density standard deviation and the first density, the variation parameter is determined.

[0164] If the value of the variation parameter is determined to be less than the preset parameter value, then the visual volume calibration process is considered complete.

[0165] In one possible implementation, the third determining module 404 is further configured to:

[0166] Once the visual sensor has captured the visual identifier at the third moment, the fifth weight value at each moment is continuously acquired by the weighing sensor.

[0167] If it is determined that the visual sensor acquires the visual identifier at a fourth time later than the third time, then the average of the fifth weight values ​​obtained between the third and fourth times is used as the preset tare weight value to complete the zero-point reference calibration process.

[0168] In one possible implementation, the detection device 40 for mining materials based on the belt scale system is further configured to: determine that the conveyor belt is in an empty belt operation state if the volume value is determined to be zero and the second weight value is zero, and perform zero-point reference calibration on the weighing sensor after a preset time period.

[0169] If the volume value is determined to be non-zero and the second weight value is zero, then the weight difference between the first weight value and the second weight value is determined. If the weight difference obtained multiple times is greater than the preset difference threshold, then the zero-point reference calibration process is performed on the weighing sensor.

[0170] The detection device for mining materials based on a belt scale system provided in this embodiment can execute the method provided in the above-described method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0171] Figure 5 A schematic diagram of the structure of the electronic device provided in this application. Figure 5 As shown, the electronic device 50 provided in this embodiment includes at least one processor 501 and a memory 502. Optionally, the device 50 further includes a communication component 503. The processor 501, memory 502, and communication component 503 are connected via a bus 504.

[0172] In a specific implementation, at least one processor 501 executes computer execution instructions stored in memory 502, causing at least one processor 501 to perform the above-described method.

[0173] The specific implementation process of processor 501 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0174] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0175] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0176] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0177] This application also provides a belt scale system, which includes the above-mentioned electronic equipment;

[0178] The belt scale system is equipped with multiple sets of detection devices, including weighing sensors installed on the conveyor belt of the belt scale system, and image acquisition devices installed above the conveyor belt.

[0179] In one possible implementation, along the conveyor belt's transport direction, the image acquisition device and the weighing sensor in the same group of detection equipment are deployed sequentially; the image acquisition device includes a mine explosion-proof laser emitter and a mine explosion-proof camera; the detection equipment also includes a weighing unit connected to the weighing sensor; and the detection equipment includes a monitoring camera.

[0180] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0181] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0182] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0183] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the device.

[0184] The division of units is merely a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0185] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0186] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0187] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0188] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0189] Finally, it should be noted that other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A method for detecting mining materials based on a belt weighing system, characterized in that, The belt scale system is equipped with multiple sets of detection devices, including load cells mounted on the conveyor belt of the belt scale system and an image acquisition device mounted above the conveyor belt. The method includes: During the conveying process of the conveyor belt, visual information of the mining materials on the conveyor belt is acquired by the image acquisition device in the detection equipment, and real-time weight value is acquired by the weighing sensor in the detection equipment. Based on the visual information collected by the detection device, the volume value of the mineral material corresponding to the detection device on the conveyor belt is determined, and based on the volume value and the preset density, the first weight value of the mineral material corresponding to the detection device on the conveyor belt is determined; wherein, the preset density represents the density of the mineral material; Based on the real-time weight value collected by the detection device and the preset tare value, a second weight value of the mining material on the conveyor belt corresponding to the detection device is determined; wherein, the preset tare value represents the weight of the conveyor belt; When both the volume value and the real-time weight value are not zero, the total weight of all mining materials on the conveyor belt is determined based on the first weight value and the second weight value corresponding to the multiple detection devices.

2. The method according to claim 1, characterized in that, Along the conveyor belt's transport direction, image acquisition devices and weighing sensors in the same group of detection equipment are deployed sequentially. During the conveying process of the conveyor belt, visual information of the mining materials on the conveyor belt is acquired by the image acquisition devices in the detection equipment, and real-time weight values ​​are acquired by the weighing sensors in the detection equipment, including: During the conveying process of the conveyor belt, at the first moment, the visual information of the mining material collected by the image acquisition device in the detection equipment is acquired; At a second moment later than the first moment, the real-time weight value collected by the weighing sensor in the detection device is acquired; The time difference between the second moment and the first moment is a preset time difference value.

3. The method according to claim 2, characterized in that, The method further includes: The preset time difference is determined based on the running speed of the conveyor belt and the preset spacing value; wherein the preset spacing value represents the lateral distance between the image acquisition device and the weighing sensor in the same group of detection equipment.

4. The method according to claim 1, characterized in that, The image acquisition device includes a mine explosion-proof laser transmitter and a mine explosion-proof camera; Based on the visual information collected by the detection equipment, the volume value of the mining material on the conveyor belt corresponding to the detection equipment is determined, including: Based on the boundary values ​​collected by the explosion-proof laser emitter in the detection equipment, the cross-sectional area of ​​the mining material in the image collected by the explosion-proof camera in the detection equipment is determined. Based on the cross-sectional area and the preset length, the volume of the mining material on the conveyor belt corresponding to the detection equipment is determined.

5. The method according to claim 1, characterized in that, The total weight of all mining materials on the conveyor belt is determined based on the first and second weight values ​​corresponding to the multiple detection devices, including: If it is determined that the difference between one of the first weight values ​​and the other first weight values ​​among the multiple first weight values ​​is greater than the first weight threshold, and the difference between each pair of first weight values ​​among the other first weight values ​​among the multiple first weight values ​​is less than the second weight threshold, then it is determined that the image acquisition device corresponding to the first weight value has malfunctioned, and visual volume calibration processing is performed on the image acquisition device corresponding to the first weight value. If it is determined that the difference between one of the second weight values ​​and the other second weight values ​​among the plurality of second weight values ​​is greater than a first weight threshold, and the difference between each pair of second weight values ​​among the other second weight values ​​is less than the second weight threshold, then it is determined that the weighing sensor corresponding to the second weight value is faulty, and zero-point reference calibration is performed on the weighing sensor corresponding to the second weight value; wherein, the first weight threshold is greater than the second weight threshold; If it is determined that the difference between each pair of first weight values ​​among the plurality of first weight values ​​is less than the second weight threshold, then the total weight value of all mining materials on the conveyor belt is determined based on the sum of the first weight values ​​and the second weight values ​​corresponding to the plurality of detection devices.

6. The method according to claim 5, characterized in that, The visual volume calibration process includes: Based on the cross-sectional area of ​​the i-th frame of the calibrated mineral material acquired by the image acquisition device in the detection equipment, the preset time interval, and the running speed of the conveyor belt, the volume parameters of the calibrated mineral material corresponding to the detection equipment are determined. The third weight value is determined based on the real-time weight value collected by the weighing sensor in the detection equipment, the running speed of the conveyor belt, the preset time interval, the preset length of the calibrated mining material, and the preset tare weight value. The first density of the calibrated mine material is determined based on the third weight value and the volume parameter. The preset coefficient of the conveyor belt is updated based on the first density and the second density; wherein the second density is the expected density of the calibrated mining material. Based on the updated preset coefficients and the real-time weight values ​​collected by the weighing sensors in the same group of detection devices, a fourth weight value is determined; and based on the fourth weight value and preset volume parameters, a preset density corresponding to the image acquisition device in the detection device is determined to complete the visual volume calibration process.

7. The method according to claim 6, characterized in that, Before completing the visual volume calibration process, the following steps are also included: Based on the preset density obtained multiple times, the density standard deviation is determined; and based on the density standard deviation and the first density, the variation parameter is determined. If the value of the variation parameter is determined to be less than the preset parameter value, then the visual volume calibration process is considered complete.

8. The method according to claim 5, characterized in that, The belt scale system includes a vision sensor, and multiple visual markers are set on the conveyor belt at preset intervals; the zero-point reference calibration process includes: When it is determined that the visual sensor has acquired a visual identifier at the third moment, the fifth weight value at each moment acquired by the weighing sensor is continuously acquired. If it is determined that the visual sensor acquires the visual identifier at a fourth time later than the third time, then the average of the fifth weight values ​​obtained between the third time and the fourth time is used as the preset tare value to complete the zero-point reference calibration process.

9. The method according to any one of claims 1-8, characterized in that, The method further includes: If the volume value is determined to be zero and the second weight value is determined to be zero, then the conveyor belt is determined to be in an empty belt running state, and after a preset time period, the weighing sensor is subjected to zero-point reference calibration. If it is determined that the volume value is not zero and the second weight value is zero, then the weight difference between the first weight value and the second weight value is determined, and if the weight difference is obtained multiple times and is greater than a preset difference threshold, then the weighing sensor is subjected to zero-point reference calibration.

10. A detection device for mine materials based on a belt weighing system, characterized in that, The belt scale system is equipped with multiple sets of detection devices, including load cells mounted on the conveyor belt of the belt scale system and an image acquisition device mounted above the conveyor belt. The device includes: The acquisition module is used to acquire visual information of the mining materials on the conveyor belt collected by the image acquisition device in the detection equipment during the conveying process of the conveyor belt, and to acquire the real-time weight value collected by the weighing sensor in the detection equipment. The first determining module is used to determine the volume value of the mineral material corresponding to the detection device on the conveyor belt based on the visual information collected by the detection device, and to determine the first weight value of the mineral material corresponding to the detection device on the conveyor belt based on the volume value and the preset density; wherein, the preset density represents the density of the mineral material; The second determining module is used to determine the second weight value of the mining material on the conveyor belt corresponding to the detection device based on the real-time weight value collected by the detection device and the preset tare value; wherein, the preset tare value represents the weight of the conveyor belt; The third determining module is used to determine the total weight of all mining materials on the conveyor belt based on the first weight value and the second weight value corresponding to the multiple detection devices when both the volume value and the real-time weight value are not zero.

11. An electronic device, characterized in that, include: Memory, processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the method as described in any one of claims 1-9.

12. A belt scale system, characterized in that, The belt scale system includes the electronic equipment as described in claim 11; The belt scale system is equipped with multiple sets of detection devices, including weighing sensors installed on the conveyor belt of the belt scale system and an image acquisition device installed above the conveyor belt.

13. The system according to claim 12, characterized in that, Along the conveyor belt's transmission direction, the image acquisition device and weighing sensor in the same group of detection equipment are deployed sequentially; The image acquisition device includes a mine explosion-proof laser transmitter and a mine explosion-proof camera; The detection device also includes a weighing unit connected to the weighing sensor; the detection device also includes a monitoring camera.

14. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-9.

15. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method described in any one of claims 1-9.

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