Intelligent iron removal monitoring management method and system for conveying belt and storage medium

Abstract

The invention discloses an intelligent iron removal monitoring management method and system for a conveying belt and a storage medium, and the method comprises the steps: obtaining ferromagnetic target information, generating a foreign matter monitoring report according to the ferromagnetic target information, and finally carrying out the iron removal operation according to the foreign matter monitoring report and the state information of an iron removal unit. According to the device, metal foreign matters of different types and positions are sucked and removed, an operation instruction can be sent out in time before the foreign matters reach an iron removal area, timely and accurate actuation of the iron removal unit is ensured, the iron removal efficiency and accuracy of the conveying belt are remarkably improved, the impact risk on coal flow of the conveying belt is reduced, and the service life of the conveying belt is prolonged. And the automation level and the real-time monitoring capability of the system are improved.

Description

Technical Field

[0001] This application relates to the technical field of coal mining equipment, and in particular to a method for monitoring and managing intelligent iron removal from conveyor belts, a management system for monitoring and managing intelligent iron removal from conveyor belts, and a storage medium. Background Technology

[0002] In mining operations, various metal components such as anchor bolts, anchor cables, and pallets often get mixed into the raw coal conveyor belt. If these large pieces of iron are not detected and removed in time, they can easily cause longitudinal tearing of the conveyor belt; once they enter the crusher with the coal flow, they can not only cause serious damage to the key components of the crusher, but may also cause the entire machine to stop, directly affecting the normal production of the mine.

[0003] Traditional technologies for detecting metallic foreign objects on coal mine conveyor belts mainly include radio methods, electromagnetic methods, X-ray methods, and video image AI detection methods. These methods have significant limitations due to low detection sensitivity, slow detection speed, limited application scenarios, susceptibility to coal slime and water mist, and potential harm to human health. They are not effectively applicable to the complex environment of mines. Therefore, this paper proposes an intelligent iron removal monitoring and management method and system for conveyor belts. Summary of the Invention

[0004] The purpose of this application is to overcome the above-mentioned technical problems and provide a method for intelligent iron removal monitoring and management of conveyor belts, an intelligent iron removal monitoring and management system for conveyor belts, and a storage medium.

[0005] The technical solution of this application provides a method for intelligent iron removal monitoring and management of conveyor belts, including:

[0006] Obtain information about ferromagnetic targets;

[0007] A foreign object monitoring report is generated based on the ferromagnetic target information;

[0008] The iron removal operation is performed based on the foreign object monitoring report and the status information of the iron removal unit.

[0009] Furthermore, the foreign object monitoring report includes conveyor belt information and metal foreign object information;

[0010] The step of generating a foreign object monitoring report based on the ferromagnetic target information specifically includes:

[0011] Based on the ferromagnetic target information, determine the conveyor belt information and the metallic foreign object information;

[0012] The information about the metallic foreign object includes the size class of the metallic foreign object and the location information of the metallic foreign object.

[0013] Furthermore, the ferromagnetic target information includes magnetic anomaly signals, and the conveyor belt information includes conveyor belt speed information;

[0014] The step of determining the conveyor belt information and the metallic foreign object information based on the ferromagnetic target information specifically includes:

[0015] Feature extraction is performed on the magnetic anomaly signal to obtain the size and location information of the metallic foreign object;

[0016] The conveyor belt speed information is determined based on the magnetic anomaly signal.

[0017] Furthermore, the foreign object monitoring report includes conveyor belt information and metal foreign object information;

[0018] The information about the metallic foreign object includes the size classification and location information of the metallic foreign object.

[0019] The iron removal operation based on the foreign object monitoring report and the status information of the iron removal unit specifically includes:

[0020] The status information of the iron remover is used to determine whether the iron removal unit is in an executable state. If it is in an executable state, the descent range of the iron removal unit is determined according to the size level of the metal foreign object.

[0021] The moving position of the iron removal unit is determined based on the location information of the metallic foreign object;

[0022] The start-up timing of the iron removal unit is determined based on the location information of the metallic foreign object and the information of the conveyor belt.

[0023] Furthermore, prior to performing the iron removal operation based on the foreign matter monitoring report, the procedure includes:

[0024] The foreign object monitoring report will be sent to the cloud display platform.

[0025] The technical solution of this application also provides an intelligent iron removal monitoring and management system for conveyor belts, including: a conveyor belt for transporting coal flow, a sensor unit for detecting metallic foreign objects in the coal flow, an iron removal unit for removing metallic foreign objects, a control unit for controlling the iron removal unit, and a camera for monitoring the coal flow.

[0026] The sensor unit is located above / to the side / below the conveyor belt, and the iron removal unit and the camera are respectively arranged above the conveyor belt;

[0027] The iron removal unit includes an iron remover disposed above the conveyor belt, and the sensor unit and the iron removal unit are electrically connected to the control unit respectively;

[0028] The control unit is capable of executing the intelligent iron removal monitoring and management method for conveyor belts as described above.

[0029] Furthermore, the sensor unit includes a micro magnetic sensor, a non-magnetic sealing shell, epoxy resin, and a digital signal processor;

[0030] The micro magnetic sensor is used to detect the ferromagnetic target information of the metallic foreign object on the conveyor belt. The micro magnetic sensor is communicatively connected to the digital signal processor, and the digital signal processor is communicatively connected to the control unit.

[0031] The micromagnetic sensor and the digital signal processor are encapsulated in the non-magnetic sealed shell by the epoxy resin.

[0032] Furthermore, the iron removal unit includes a moving track, a traveling trolley, a hydraulic device, and an iron remover;

[0033] The moving track is arranged along the length of the conveyor belt and above the conveyor belt, and the traveling trolley can move along the moving track;

[0034] The hydraulic device is installed on the traveling trolley, and the iron remover is fixedly connected to the telescopic end of the hydraulic device. The hydraulic device is used to drive the iron remover to move up and down along the height direction of the conveyor belt.

[0035] The traveling trolley, the hydraulic device, and the iron remover are all electrically connected to the control unit.

[0036] Furthermore, the control unit includes a control assembly and a vacuum electromagnetic starter;

[0037] The vacuum electromagnetic starter is disposed between the control assembly and the iron removal unit, and is electrically connected to both the control assembly and the iron removal unit, and is used to control the start and stop of the iron removal unit.

[0038] The technical solution of this application also provides a storage medium that stores computer instructions. When the computer executes the computer instructions, it is used to perform the intelligent iron removal monitoring and management method for conveyor belts as described above.

[0039] The above technical solution has the following beneficial effects:

[0040] This application discloses an intelligent iron removal monitoring and management method, system, and storage medium for conveyor belts. By acquiring ferromagnetic target information and generating a foreign object monitoring report based on the ferromagnetic target information, the iron removal operation can be performed based on the foreign object monitoring report and the status information of the iron removal unit. This enables the removal of metal foreign objects of different types and locations, and can issue operation instructions in a timely manner before the foreign object reaches the iron removal area, ensuring that the iron removal unit operates in a timely and accurate manner. This significantly improves the efficiency and accuracy of iron removal on conveyor belts, reduces the impact risk on the coal flow of the conveyor belt, and enhances the system's automation level and real-time monitoring capabilities. Attached Figure Description

[0041] The disclosure of this application will become more readily understood with reference to the accompanying drawings. It should be understood that these drawings are for illustrative purposes only and are not intended to limit the scope of protection of this application. In the drawings:

[0042] Figure 1 This is a flowchart of the intelligent iron removal monitoring and management method for conveyor belts in one embodiment of this application;

[0043] Figure 2 This is a flowchart of the intelligent iron removal monitoring and management method for conveyor belts in another embodiment of this application. Detailed Implementation

[0044] The specific embodiments of this application will be further described below with reference to the accompanying drawings.

[0045] It is readily understood that, based on the technical solution of this application, various structural and implementation methods can be interchanged by those skilled in the art without altering the essential spirit of this application. Therefore, the following detailed embodiments and accompanying drawings are merely illustrative examples of the technical solution of this application and should not be considered as the entirety of this application or as limitations or restrictions on the technical solution of the application.

[0046] The directional terms such as up, down, left, right, front, back, front, back, top, and bottom mentioned or possibly used in this specification are defined relative to the structures shown in the accompanying drawings. These are relative concepts and may therefore vary depending on their location and usage. Therefore, these or other directional terms should not be interpreted as restrictive. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0047] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meanings of the above in this application according to the specific circumstances.

[0048] like Figure 1 As shown, a flowchart of a conveyor belt intelligent iron removal monitoring and management method according to an embodiment of this application is provided, including:

[0049] Step S101: Obtain ferromagnetic target information;

[0050] Step S102: Generate a foreign object monitoring report based on the ferromagnetic target information;

[0051] Step S103: Perform iron removal operation based on the foreign object monitoring report and the status information of the iron removal unit.

[0052] Specifically, in step S101, ferromagnetic target information is acquired by sensor units deployed on the conveyor belt. Ferromagnetic target information can reflect whether there are metallic foreign objects in the coal flow, and further feature extraction can be performed based on the ferromagnetic target information to obtain specific information such as the volume and location of the metallic foreign objects, providing basic data for subsequent data processing.

[0053] In step S102, a foreign object monitoring report is generated based on the ferromagnetic target information. The foreign object monitoring report may include information on the metallic foreign object and information on the conveyor belt. The conveyor belt information includes at least the conveyor belt speed information, and the metallic foreign object information includes the size grade of the metallic foreign object, the location information of the metallic foreign object, etc. The foreign object monitoring report can reflect the basic characteristics of the metallic foreign object and record the operating status of the conveyor belt, providing a basis for judgment for subsequent iron removal operations.

[0054] In step S103, the iron removal operation is performed based on the foreign object monitoring report and the status information of the iron removal unit. The start-up time and iron removal position of the iron removal unit can be determined based on the information of the metal foreign object and the conveyor belt. At the same time, combined with the real-time status information of the iron removal unit, it is determined whether the iron removal operation can be performed, thereby realizing the removal of metal foreign objects of different positions and volumes.

[0055] This application discloses an intelligent iron removal monitoring and management method for conveyor belts. By acquiring ferromagnetic target information and generating a foreign object monitoring report based on the ferromagnetic target information, the method enables iron removal operations based on the foreign object monitoring report and the status information of the iron removal unit. This method achieves the removal of metal foreign objects of different types and locations, and can issue operation instructions in a timely manner before foreign objects reach the iron removal area, ensuring that the iron removal unit operates in a timely and accurate manner. This significantly improves the efficiency and accuracy of iron removal on conveyor belts, reduces the impact risk on the coal flow of the conveyor belt, and enhances the system's automation level and real-time monitoring capabilities.

[0056] In one embodiment, the foreign object monitoring report includes conveyor belt information and metallic foreign object information;

[0057] A foreign object monitoring report is generated based on ferromagnetic target information, specifically including:

[0058] Determine conveyor belt information and metallic foreign object information based on ferromagnetic target information;

[0059] Information on metallic foreign objects includes the size class and location information of the metallic foreign object.

[0060] In this embodiment, the foreign object monitoring report includes conveyor belt information and metallic foreign object information. The conveyor belt information reflects the operating status of the conveyor belt, such as the conveyor belt speed and the conveyor belt operating conditions, and can also reflect the operating speed of the coal flow. The foreign object monitoring report is generated based on the ferromagnetic target information, that is, the conveyor belt information and metallic foreign object information are determined based on the ferromagnetic target information. The metallic foreign object information also includes the size level and location information of the metallic foreign object. The size level of the metallic foreign object can reflect the volume of the metallic foreign object and further reflect the weight of the metallic foreign object, while the location information of the metallic foreign object is its real-time position on the conveyor belt, thereby ensuring that the subsequent iron removal operation can be carried out at the correct time.

[0061] The foreign object monitoring report includes information on the conveyor belt and the metal foreign object, thereby monitoring the operating environment of the conveyor belt. It also accurately determines the size, grade, and location of the metal foreign object, enabling the iron removal unit to make accurate judgments and operations based on more precise and complete data. This avoids delays or failures in iron removal due to data errors or omissions, laying a solid foundation for subsequent iron removal operations and improving the safety and reliability of the conveyor belt operation.

[0062] In one embodiment, the ferromagnetic target information includes a magnetic anomaly signal, and the conveyor belt information includes conveyor belt speed information;

[0063] Based on ferromagnetic target information, information about the conveyor belt and metallic foreign objects is determined, specifically including:

[0064] Feature extraction is performed on the magnetic anomaly signal to obtain information on the size and location of the metallic foreign object;

[0065] The conveyor belt speed information is determined based on the magnetic anomaly signal.

[0066] In this embodiment, the ferromagnetic target information includes magnetic anomaly signals, and the conveyor belt information includes the conveyor belt itself. The conveyor belt information and the metal foreign object information are determined based on the ferromagnetic target information. Specifically, the magnetic anomaly signals are first subjected to feature extraction. The extracted signal features may include magnetic field strength, waveform morphology, gradient change trend, etc. Then, combined with the magnetic dipole model and sensor unit calibration results, the size level and location information of the metal foreign object are determined. At the same time, the periodic change characteristics of the magnetic anomaly signals can also be used to calculate the conveyor belt speed information, thus realizing the synchronous acquisition of conveyor belt information and metal foreign object information.

[0067] This embodiment extracts features from magnetic anomaly signals, transforming them into parameters reflecting the characteristics of metallic foreign objects and the operating status of the conveyor belt. This improves the anti-interference capability and identification accuracy of signal processing. A single signal source can simultaneously acquire information such as the size and location of the metallic foreign object, as well as the conveyor belt speed, eliminating the need for additional sensors and simplifying the system structure, thus reducing hardware costs. The combination of the metallic foreign object size and location information with the conveyor belt speed information allows the control unit to accurately calculate the optimal start-up time and trajectory of the iron removal unit, ensuring the timeliness and reliability of the iron removal action. This achieves efficient iron removal from the conveyor belt and enhances the overall intelligence level of the system.

[0068] In one embodiment, the magnetic anomaly signal includes information on the volume of the metallic foreign object and the height of the metallic foreign object;

[0069] Information on the location of metallic foreign objects includes the height of the iron removal device;

[0070] Feature extraction is performed on the magnetic anomaly signal to obtain information on the size and location of the metallic foreign object, specifically including:

[0071] Signal preprocessing is performed on the volume information of the metallic foreign object to obtain its volume characteristics.

[0072] Determine the size classification of the metallic foreign object based on its volume characteristics;

[0073] Determine the iron removal distance based on the size of the metallic foreign object;

[0074] Add the iron removal distance to the height of the metallic foreign object to obtain the iron removal height.

[0075] In this embodiment, the location information of the metallic foreign object includes the iron removal height, which can be used as the basis for the descent range of the iron removal unit. First, signal preprocessing is performed based on the volume information of the metallic foreign object to obtain its volume characteristics. Then, the size level of the metallic foreign object is determined based on these volume characteristics. Specifically, signal preprocessing is first performed on the collected volume information of the metallic foreign object to extract its volume characteristics. The signal preprocessing includes detrending and normalization, denoising, and smoothing. Detrending and normalization are used to eliminate the influence of low-frequency drift and sensor zero-point offset. High-pass filtering and moving average are used to remove DC components, and the signal is normalized using z-score. The denoising step uses wavelet denoising and adaptive threshold soft thresholding to preserve the main pulse shape, thereby reducing high-frequency random noise and power frequency interference. Smoothing uses Savitzky-Golay filtering to eliminate sharp jitter while preserving the main waveform characteristics. Subsequently, peak and trough detection was performed on the preprocessed signal. Significant peaks and troughs were screened out using amplitude thresholds, minimum intervals, and morphological constraints. Pattern recognition was then performed based on peak-trough amplitude differences, wave width, and waveform symmetry to accurately identify the volume characteristics of metallic foreign objects. Finally, based on these characteristics, the metallic foreign objects were classified into different volume levels, providing a basis for calculating the iron removal distance.

[0076] This embodiment achieves high-precision acquisition and hierarchical judgment of metallic foreign object volume information through systematic signal preprocessing and peak-valley pattern recognition. It effectively reduces the impact of noise, drift, or acquisition errors, improving the stability and reliability of metallic foreign object volume feature extraction. Simultaneously, through peak-valley analysis and pattern recognition, it can accurately identify metallic foreign objects of different volume levels, and more intelligently adjust the iron removal distance and height according to the volume of the metallic foreign object, improving iron removal accuracy and efficiency, and enhancing the automation and intelligence level of conveyor belt iron removal.

[0077] In this embodiment, the iron removal distance is determined based on the size of the metallic foreign object. This is achieved, for example, by traversing a lookup table. Based on a preset correspondence between volume levels and iron removal distances, the size of the metallic foreign object is converted into a specific iron removal distance. By calculating a reasonable iron removal distance between the iron separator and the metallic foreign object, the system ensures that the iron separator can effectively adsorb the metallic foreign object while avoiding collisions between the coal stream and the iron separator due to excessively close iron removal distances. This improves the iron removal process and safety. When the metallic foreign object is large, it means it is heavy, and the system automatically shortens the iron removal distance to ensure sufficient adsorption force. When the metallic foreign object is small, it means it is light, and the system can maintain a greater iron removal distance to reduce unnecessary mechanical impacts.

[0078] In one embodiment, the magnetic anomaly signal includes a signal time difference, and the conveyor belt speed information includes the conveyor belt speed;

[0079] Determining conveyor belt speed information based on magnetic anomaly signals specifically includes:

[0080] Acquire the time difference of signals collected by the sensor unit at different locations;

[0081] The conveyor belt speed is determined based on the distance between sensor units and the signal time difference.

[0082] In this embodiment, the magnetic anomaly signal includes the signal time difference, and the conveyor belt speed information includes the conveyor belt speed. Since the sensor units can be distributed and installed at different positions along the length of the conveyor belt, each sensor unit will collect the magnetic anomaly signal as the conveyor belt passes by. The same metal foreign object will collect relatively similar magnetic anomaly signals. Based on the similar or even identical magnetic anomaly signals, the signal time difference can be obtained, which is the time difference between the detection of the same metal foreign object at different positions. Then, based on the installation distance between the two sensor units, the running speed of the metal foreign object on the conveyor belt can be calculated, thereby obtaining the conveyor belt speed.

[0083] This embodiment uses the time difference of the magnetic anomaly signal collected by the sensor unit to deduce the conveyor belt speed, avoiding the need for an additional speed measuring device, simplifying the system structure, reducing hardware costs, realizing the coordination of signal acquisition and speed detection, and improving the efficiency and accuracy of monitoring.

[0084] In another embodiment, the foreign object monitoring report includes conveyor belt information and metallic foreign object information;

[0085] Information on metallic foreign objects includes the size classification and location information of the metallic foreign object;

[0086] The iron removal operation is performed based on the foreign object monitoring report and the status information of the iron removal unit, specifically including:

[0087] The status information of the iron separator is used to determine whether the iron removal unit is in an executable state. If it is in an executable state, the descent range of the iron removal unit is determined according to the size level of the metal foreign object.

[0088] The movement position of the iron removal unit is determined based on the location information of the metallic foreign object;

[0089] The start-up timing of the iron removal unit is determined based on the location information of the metallic foreign object and the information of the conveyor belt.

[0090] In this embodiment, the foreign object monitoring report includes conveyor belt information and metal foreign object information. The metal foreign object information includes the size class and location information of the metal foreign object. The iron removal operation is performed based on the foreign object monitoring report and the status information of the iron removal unit. Specifically, the status information of the iron remover is first used to determine whether the iron removal unit is in an executable state, such as standby, operation, or maintenance. When the iron removal unit is determined to be in an executable state, the descent range of the iron removal unit can be determined based on the size class of the metal foreign object. Different size classes of metal foreign objects typically correspond to different weights. Heavier metal foreign objects require the iron removal unit to be closer to the conveyor belt for suction to ensure stable iron removal. Specifically, the descent range corresponding to different size classes of metal foreign objects can be pre-defined. Then, the size class of the metal foreign object is determined based on the foreign object monitoring report, and the corresponding descent range is found. Subsequently, the movement position of the iron removal unit is determined based on the location information of the metal foreign object, ensuring that the iron remover can accurately target the area where the metal foreign object is located. Finally, the start-up timing of the iron removal unit is determined by combining the location information of the metal foreign object and the conveyor belt information. The conveyor belt information includes the conveyor belt speed information. By combining the location information of the metal foreign object and the conveyor belt speed information, the optimal start-up timing of the iron removal unit can be determined, thereby ensuring that the iron removal unit can operate in a timely manner when the metal foreign object passes by, achieving efficient iron removal.

[0091] In another embodiment, prior to performing the iron removal operation based on the foreign matter monitoring report, the procedure includes:

[0092] Send the foreign object monitoring report to the cloud display platform.

[0093] In this embodiment, before performing the iron removal operation based on the foreign object monitoring report, the foreign object monitoring report is sent to a cloud-based display platform. Specifically, after generating the foreign object monitoring report, the report is uploaded to the cloud-based display platform. The cloud-based display platform can be implemented based on a B / S architecture or a mobile application, and can receive and display conveyor belt operation information, the size and location information of metal foreign objects, and the operating status information of the iron removal unit in real time. Managers can remotely view the system status, foreign object distribution, and historical data records on the cloud-based display platform, thereby remotely monitoring and managing the system operation.

[0094] This embodiment uploads the foreign object monitoring report to the cloud display platform, realizing the centralization and visualization of data. This enables the system to have remote operation and maintenance capabilities. Managers can monitor the information of metal foreign objects on the conveyor belt or the operating status of the equipment in real time from different locations, thereby quickly making scheduling or maintenance operations, improving the system's intelligence level and operating efficiency, and also providing data support for subsequent operation and maintenance optimization, safety management and maintenance, etc.

[0095] like Figure 2As shown, a flowchart of a conveyor belt intelligent iron removal monitoring and management method according to another embodiment of this application is provided, including:

[0096] Step S201: Obtain ferromagnetic target information;

[0097] Step S202: Extract features from the magnetic anomaly signal to obtain information on the size and location of the metallic foreign object;

[0098] Step S203: Determine the conveyor belt speed information based on the magnetic anomaly signal;

[0099] Step S204: Send the foreign object monitoring report to the cloud display platform;

[0100] Step S205: Determine whether the iron removal unit is in an executable state based on the iron removal status information. If it is in an executable state, determine the descent range of the iron removal unit based on the size level of the metal foreign object.

[0101] Step S206: Determine the moving position of the iron removal unit based on the location information of the metal foreign object;

[0102] Step S207: Determine the start-up time of the iron removal unit based on the location information of the metal foreign object and the conveyor belt information.

[0103] The technical solution of this application also provides an intelligent iron removal monitoring and management system for conveyor belts, including a conveyor belt for transporting coal flow, a sensor unit for detecting metallic foreign objects in the coal flow, an iron removal unit for removing metallic foreign objects, a control unit for controlling the iron removal unit, and a camera for monitoring the coal flow.

[0104] The sensor unit is set above / to the side / below the conveyor belt, while the iron removal unit and the camera are respectively arranged above the conveyor belt;

[0105] The iron removal unit includes an iron remover installed above the conveyor belt, and the sensor unit and the iron removal unit are electrically connected to the control unit respectively;

[0106] The control unit is capable of executing a conveyor belt intelligent iron removal monitoring and management method as described in any of the preceding embodiments.

[0107] In this embodiment, an intelligent iron removal monitoring and management system for conveyor belts includes a conveyor belt, a sensor unit, an iron removal unit, a control unit, and a camera. The conveyor belt is used to transport coal flow, the sensor is used to detect metallic foreign objects in the coal flow, the iron removal unit is used to remove metallic foreign objects from the coal flow, the control unit is used to control the iron removal unit, and the camera is used to monitor the coal flow. The sensor unit can be set above, below, or to the side of the conveyor belt as needed to collect magnetic anomaly signals from the conveyor belt. The iron removal unit and the camera are respectively arranged above the conveyor belt. The iron removal unit includes an iron remover set above the conveyor belt. The sensor unit and the iron removal unit are electrically connected to the control unit. The control unit can execute an intelligent iron removal monitoring and management method for conveyor belts as described in the previous embodiment, realizing automated closed-loop control from metallic foreign object detection and foreign object monitoring report generation to iron removal operation.

[0108] In one embodiment, the sensor unit includes a micromagnetic sensor, a non-magnetic sealing shell, epoxy resin, and a digital signal processor;

[0109] The micro magnetic sensor is used to detect ferromagnetic targets of metallic foreign objects on the conveyor belt. The micro magnetic sensor is connected to a digital signal processor, which is connected to a control unit.

[0110] The micro-magnetic sensor and digital signal processor are encapsulated in a non-magnetic sealed shell using epoxy resin.

[0111] In this embodiment, the sensor unit includes a micromagnetic sensor, a non-magnetic sealing shell, epoxy resin, and a digital signal processor. The micromagnetic sensor is a high-resolution micromagnetic basic sensor, based on the giant magnetoresistance effect and axial acquisition principle. It can passively measure without excitation and sense the magnetic anomaly information generated by ferromagnetic foreign objects on the conveyor belt. The micromagnetic sensor is used to detect the ferromagnetic target information of the metal foreign objects on the conveyor belt and transmits the detected signal to the digital signal processor through a communication connection. Due to the combined effect of load and geomagnetic field, the metal foreign objects will undergo magnetic domain organization orientation and irreversible reorientation with magnetostrictive properties in the stress and deformation concentration areas. This magnetic state will be retained after the working load is removed, forming a magnetic memory effect. Fixed magnetic poles will be generated in this area, forming a leakage magnetic field.

[0112] The intensity of the induced magnetic field detected by the micro-magnetic sensor decreases inversely with the cube of the distance between the metallic foreign object and the sensor. It can penetrate media such as coal flow and air, enabling non-contact, real-time online monitoring. After receiving the sensor signal, the digital signal processor can combine filtering and feature extraction algorithms to analyze the size, position, and motion state of the metallic foreign object, providing accurate data support for the start-up position, descent amplitude, and timing of the subsequent iron removal unit.

[0113] The micro-magnetic sensor is connected to the digital signal processor, which in turn is connected to the control unit. The digital signal processor has built-in micro-magnetic sensor calibration algorithm, environmental noise suppression algorithm, and magnetic anomaly target small signal processing algorithm. It is used to summarize the data detected by the micro-magnetic sensor and the magnetic anomaly early warning and positioning signal data, and send the summarized information to the control unit to achieve precise control of the iron removal operation.

[0114] The micro-magnetic sensor and digital signal processor are encapsulated in a non-magnetic sealed shell with epoxy resin, which avoids external magnetic fields and electromagnetic interference to the micro-magnetic sensor. At the same time, the sealed shell supported by non-magnetic materials will not interfere with the acquisition of magnetic anomaly signals. Epoxy resin has good insulation and corrosion resistance, which can effectively prevent damage to the device from coal dust, water vapor, etc., and improve the reliability of the sensor unit in harsh environments.

[0115] In another embodiment, the iron removal unit includes a moving track, a traveling trolley, a hydraulic device, and an iron remover;

[0116] The moving track is set along the length of the conveyor belt and arranged above the conveyor belt, and the traveling trolley can move along the moving track;

[0117] The hydraulic device is installed on the traveling trolley. The iron remover is fixedly connected to the telescopic end of the hydraulic device. The hydraulic device is used to drive the iron remover to move up and down along the height direction of the conveyor belt.

[0118] The traveling trolley, hydraulic device, and iron remover are electrically connected to the control unit.

[0119] In this embodiment, the iron removal unit includes a moving track, a traveling trolley, a hydraulic device, and an iron remover. The moving track extends along the length of the conveyor belt and is arranged above the conveyor belt. The traveling trolley is mounted on the moving track and can move along the moving track. The traveling trolley is equipped with a hydraulic device, and the telescopic end of the hydraulic device is fixedly connected to the iron remover, so that the iron remover can rise and fall in the height direction of the conveyor belt as the hydraulic device moves. The traveling trolley, the hydraulic device, and the iron remover are all electrically connected to the control unit to realize the control unit's control of the iron removal unit.

[0120] The magnetic separator can not only move up and down above the conveyor belt, but also flexibly adjust its position along the length of the conveyor belt along the moving track. This ensures that after a metal foreign object is detected, the magnetic separator can quickly reach the designated area to carry out the iron removal operation, expanding the working range of the magnetic separator, achieving coverage of different positions on the conveyor belt, and improving the adaptability and accuracy of the iron removal operation.

[0121] In another embodiment, the control unit includes a control assembly and a vacuum electromagnetic starter;

[0122] The vacuum electromagnetic starter is located between the control assembly and the iron removal unit, and is electrically connected to both the control assembly and the iron removal unit to control the start and stop of the iron removal unit.

[0123] In this embodiment, the control unit includes a control assembly and a vacuum electromagnetic starter. The vacuum electromagnetic starter is arranged between the control assembly and the iron removal unit and is electrically connected to both. It starts and stops the iron removal unit according to the instructions issued by the control assembly, thereby controlling the iron removal operation. The vacuum electromagnetic starter has the characteristics of strong electrical insulation, sensitive action and long service life. It can operate stably under high-frequency start and stop conditions, avoiding electrical shock or control delay that may be caused by direct connection between the control assembly and the iron removal unit, thereby ensuring the efficient and safe operation of the entire iron removal system.

[0124] In another embodiment, the vacuum electromagnetic starter is equipped with a PLC controller, which is electrically connected to the control assembly and the iron removal unit.

[0125] In this embodiment, the PLC controller receives data transmitted from the control assembly, performs logical judgments on the data, and controls the iron removal unit based on the judgment results, driving the iron removal unit to perform corresponding iron removal operations. By integrating the PLC controller into the vacuum electromagnetic starter, not only is precise control of the iron removal unit achieved, but the system also possesses strong logical processing and automated decision-making capabilities, improving the response speed and reliability of the iron removal operation.

[0126] In one embodiment, the intelligent iron removal monitoring and management system for conveyor belts also includes an encoder;

[0127] The encoder comes into contact with the conveyor belt to monitor its displacement, and it is connected to the control unit via signals.

[0128] In this embodiment, the intelligent iron removal monitoring and management system for conveyor belts also includes an encoder that contacts the conveyor belt. The encoder monitors the displacement information of the conveyor belt in real time and transmits the detected data to the control unit. The control unit can accurately calculate the running speed of the conveyor belt, enabling it to combine the location information of the metal foreign object with the speed information of the conveyor belt to calculate in advance the time when the foreign object arrives at the iron removal unit, thereby achieving precise triggering of the iron removal action and improving the accuracy of the iron removal operation.

[0129] In one embodiment, the sensor units are installed in a distributed manner along the lower parallel line of the conveyor belt tangent on the conveyor belt, and the vertical distance between the detection surface of the sensor unit and the conveyor belt tangent is less than 3 cm.

[0130] In this embodiment, the sensor units are distributed along the transverse direction of the conveyor belt, and their detection surfaces are set in a direction parallel to the tangent of the conveyor belt. The vertical distance between the detection surface of the sensor unit and the tangent of the conveyor belt is controlled within 3 cm. This allows the sensor units to be as close as possible to the running surface of the conveyor belt, improving the sensitivity and accuracy of detecting metallic foreign objects on the conveyor belt, while avoiding the attenuation of magnetic abnormality signals due to excessive distance, thereby achieving efficient monitoring of the entire width range of the conveyor belt.

[0131] As needed, the above technical solutions can be combined to achieve the best technical effect.

[0132] The technical solution of this application also provides a storage medium that stores computer instructions. When the computer executes the computer instructions, it is used to execute a conveyor belt intelligent iron removal monitoring and management method in any of the foregoing embodiments.

[0133] The above description is merely the principle and preferred embodiment of this application. It should be noted that for those skilled in the art, implementation methods obtained by appropriately combining the technical solutions disclosed in different embodiments are also included within the technical scope of this invention. Based on the principle of this application, several other modifications can also be made, which should also be considered within the protection scope of this application.

Claims

1. A method for intelligent iron removal monitoring and management of conveyor belts, characterized in that, include: Obtain information about ferromagnetic targets; A foreign object monitoring report is generated based on the ferromagnetic target information; The iron removal operation is performed based on the foreign object monitoring report and the status information of the iron removal unit.

2. The intelligent iron removal monitoring and management method for conveyor belts according to claim 1, characterized in that, The foreign object monitoring report includes conveyor belt information and metallic foreign object information; The step of generating a foreign object monitoring report based on the ferromagnetic target information specifically includes: Based on the ferromagnetic target information, determine the conveyor belt information and the metallic foreign object information; The information about the metallic foreign object includes the size class of the metallic foreign object and the location information of the metallic foreign object.

3. The intelligent iron removal monitoring and management method for conveyor belts according to claim 2, characterized in that, The ferromagnetic target information includes magnetic anomaly signals, and the conveyor belt information includes conveyor belt speed information; The step of determining the conveyor belt information and the metallic foreign object information based on the ferromagnetic target information specifically includes: Feature extraction is performed on the magnetic anomaly signal to obtain the size and location information of the metallic foreign object; The conveyor belt speed information is determined based on the magnetic anomaly signal.

4. The intelligent iron removal monitoring and management method for conveyor belts according to claim 1, characterized in that, The foreign object monitoring report includes conveyor belt information and metallic foreign object information; The information about the metallic foreign object includes the size classification and location information of the metallic foreign object. The iron removal operation based on the foreign object monitoring report and the status information of the iron removal unit specifically includes: The status information of the iron remover is used to determine whether the iron removal unit is in an executable state. If it is in an executable state, the descent range of the iron removal unit is determined according to the size level of the metal foreign object. The moving position of the iron removal unit is determined based on the location information of the metallic foreign object; The start-up timing of the iron removal unit is determined based on the location information of the metallic foreign object and the information of the conveyor belt.

5. The intelligent iron removal monitoring and management method for conveyor belts according to claim 1, characterized in that, Before performing the iron removal operation based on the foreign matter monitoring report, the following steps are included: The foreign object monitoring report will be sent to the cloud display platform.

6. A smart iron removal monitoring and management system for conveyor belts, characterized in that, It includes a conveyor belt for transporting coal flow, a sensor unit for detecting metallic foreign objects in the coal flow, an iron removal unit for removing metallic foreign objects, a control unit for controlling the iron removal unit, and a camera for monitoring the coal flow. The sensor unit is located above / to the side / below the conveyor belt, and the iron removal unit and the camera are respectively arranged above the conveyor belt; The iron removal unit includes an iron remover disposed above the conveyor belt, and the sensor unit and the iron removal unit are electrically connected to the control unit respectively; The control unit is capable of executing a conveyor belt intelligent iron removal monitoring and management method as described in any one of claims 1-5.

7. The intelligent iron removal monitoring and management system for conveyor belts according to claim 6, characterized in that, The sensor unit includes a micro magnetic sensor, a non-magnetic sealing shell, epoxy resin, and a digital signal processor; The micro magnetic sensor is used to detect the ferromagnetic target information of the metallic foreign object on the conveyor belt. The micro magnetic sensor is communicatively connected to the digital signal processor, and the digital signal processor is communicatively connected to the control unit. The micromagnetic sensor and the digital signal processor are encapsulated in the non-magnetic sealed shell by the epoxy resin.

8. The intelligent iron removal monitoring and management system for conveyor belts according to claim 6, characterized in that, The iron removal unit includes a moving track, a traveling trolley, a hydraulic device, and an iron remover; The moving track is arranged along the length of the conveyor belt and above the conveyor belt, and the traveling trolley can move along the moving track; The hydraulic device is installed on the traveling trolley, and the iron remover is fixedly connected to the telescopic end of the hydraulic device. The hydraulic device is used to drive the iron remover to move up and down along the height direction of the conveyor belt. The traveling trolley, the hydraulic device, and the iron remover are all electrically connected to the control unit.

9. The intelligent iron removal monitoring and management system for conveyor belts according to claim 6, characterized in that, The control unit includes a control assembly and a vacuum electromagnetic starter; The vacuum electromagnetic starter is disposed between the control assembly and the iron removal unit, and is electrically connected to both the control assembly and the iron removal unit, and is used to control the start and stop of the iron removal unit.

10. A storage medium, characterized in that, The storage medium stores computer instructions, which, when executed by the computer, are used to perform the intelligent iron removal monitoring and management method for conveyor belts as described in any one of claims 1-5.

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