Bucket wheel machine coal taking dynamic intelligent monitoring device

Abstract

The invention relates to the technical field of industrial automation and measurement and control, in particular to a bucket wheel machine coal taking dynamic intelligent monitoring device, which is characterized in that at least two groups of laser emitting and receiving pairs are transversely arranged through a laser detection unit to scan the section form of a material in real time, and an integrated photoelectric component is combined to realize bidirectional detection of the material volume and the belt running state. The data processing module adopts a sliding time window algorithm to reconstruct a continuous material flow model, and the dynamic compensation module triggers geometric correction and density mapping optimization based on data of the tilt angle sensor and the vibration sensor to form a closed-loop parameter iteration mechanism. The technical bottlenecks of low mass metering precision, poor anti-interference capability and no real-time volume metering under the dynamic working condition are overcome, and a whole-process monitoring solution is provided for intelligent upgrading of a coal conveying system.

Description

Technical Field

[0001] The present invention relates to the field of industrial automation and measurement and control technology, and particularly to a dynamic intelligent monitoring device for coal fetching by a bucket wheel machine. Background Art

[0002] The dynamic intelligent monitoring device for coal fetching by a bucket wheel machine belongs to the field of intelligent measurement and control technology for bulk material conveying. Traditional coal quantity measurement of bucket wheel machines generally uses electronic belt scales for weighing or indirect calculation methods based on belt speed. There are systematic technical defects such as asymmetric errors in material distribution caused by the forward and reverse rotation switching of the belt and the swing of the cantilever under dynamic conditions, signal distortion caused by environmental vibration interference, and sensor failure caused by dust and moisture. Moreover, there is a lack of real-time three-dimensional volume modeling and dynamic compensation mechanisms, resulting in significant hysteresis and cumulative errors in measurement data, and being unable to meet the requirements of accurate scheduling and unattended operation of the coal conveying system. This solution combines laser cross-section dynamic scanning and inertial attitude compensation technology to construct a dynamic conversion model for the volume and weight of the belt cross-section, and combines a fully sealed anti-interference signal acquisition architecture and a multi-source data fusion algorithm to overcome core problems such as poor adaptability to dynamic conditions, high sensitivity to environmental interference, and insufficient data real-time performance, realizing non-contact accurate monitoring of continuous materials in complex conditions and providing underlying technical support for the intelligent upgrade of the coal conveying system. Summary of the Invention

[0003] Aiming at the deficiencies of the prior art, the present invention provides a dynamic intelligent monitoring device for coal fetching by a bucket wheel machine, which solves the technical pain points of low measurement accuracy, signal distortion, and poor anti-interference ability in traditional coal quantity measurement of bucket wheel machines under dynamic conditions due to belt forward and reverse rotation, cantilever swing, and dust and moisture environment.

[0004] To solve the above technical problems, the specific technical solution of the present invention is as follows: The present invention provides a dynamic intelligent monitoring device for coal fetching by a bucket wheel machine, including: A signal detection module, configured to detect the volume change of the material on the bucket wheel machine belt in real time through a laser signal generator and convert the volume change into an electrical signal; A data processing module, connected to the signal detection module, configured to receive the electrical signal, calculate the electrical signal based on a preset algorithm, and generate dynamic data of the real-time volume, flow rate, weight, and belt running speed of the material; A dynamic compensation module, connected to the data processing module, configured to perform linear correction and automatic compensation of the operating state on the dynamic data; A data output module, connected to the data processing module, configured to transmit the dynamic data to an external control system through a communication interface and control the display screen to display the material accumulation form and belt running state in real time.

[0005] Furthermore, for the coal fetching dynamic intelligent monitoring device of the bucket wheel stacker-reclaimer of the present invention, the signal detection module further includes: A speed pulse generator, integrated on the side of the bucket wheel stacker-reclaimer belt roller, for generating a pulse signal proportional to the belt speed; The data processing module further calculates the belt running speed and the forward and reverse states based on the pulse signal.

[0006] Furthermore, for the coal fetching dynamic intelligent monitoring device of the bucket wheel stacker-reclaimer of the present invention, the data processing module includes: A central processing unit, for executing the preset algorithm, converting the material volume into weight data, and generating a statistical result of the belt running state; A data storage unit, for storing the dynamic data and maintaining data integrity when power is off.

[0007] Furthermore, for the coal fetching dynamic intelligent monitoring device of the bucket wheel stacker-reclaimer of the present invention, the dynamic compensation module is further used for; When the belt forward and reverse are switched, correcting the error of the dynamic data and triggering a deviation alarm signal; The data output module further transmits the deviation alarm signal to an external monitoring system.

[0008] Furthermore, for the coal fetching dynamic intelligent monitoring device of the bucket wheel stacker-reclaimer of the present invention, the data output module includes: A multi-protocol communication interface, supporting Ethernet and MODBUS TCP protocols, for data interaction with the coal conveying program control system and the unattended system; A graphic display unit, for generating a real-time picture of the accumulation form and a data curve graph during the material transportation process.

[0009] Furthermore, for the coal fetching dynamic intelligent monitoring device of the bucket wheel stacker-reclaimer of the present invention, the multi-protocol communication interface is further configured to: Receive an external control instruction and adjust the algorithm parameters of the data processing module based on the instruction The graphic display unit further supports human-computer interaction operations through a touch screen or a keyboard.

[0010] Furthermore, for the coal fetching dynamic intelligent monitoring device of the bucket wheel stacker-reclaimer of the present invention, it further includes: An environment adaptation module, integrated in the signal detection module and the data processing module, for maintaining the detection accuracy in a dusty and humid environment and implementing a fully sealed structure for waterproof and dustproof.

[0011] The technical implementation of the fully sealed structure includes: An inert gas is filled inside the housing of the laser detection unit to block external dust from entering the optical detection channel. At the same time, a gas pressure balancing device is used to maintain a slightly positive pressure environment inside to prevent the penetration of humid air.

[0012] The cable interface adopts a double protection of a spiral locking structure and a silica gel sealing ring. A labyrinth flow guiding groove is set at the joint of the housing, so that liquid or dust can be discharged along the flow guiding path and cannot invade the internal circuit.

[0013] The bracket of the detection unit is made of a damping alloy material. A rubber shock-absorbing layer is set at the connection with the belt rack to reduce the influence of mechanical shock on the optical path calibration accuracy of the laser emitter by absorbing high-frequency vibration energy.

[0014] Advantages of the present invention: Through multi-modal signal collaborative acquisition and dynamic data fusion processing, the laser detection unit of the present invention can capture the cross-sectional shape of the material in real time and align it with the speed pulse signal in space and time, eliminate the material distribution error caused by the positive and reverse rotation of the belt, and combine the sliding window algorithm to reconstruct the continuous material flow model, effectively overcoming the signal distortion caused by the swing of the cantilever. The dynamic compensation module triggers geometric correction and density mapping optimization based on the data of the inclination angle and vibration sensors, forms a closed-loop parameter iteration mechanism, and synchronously blocks dust pollution and vibration interference through anti-interference design, realizing high-precision dynamic metering under complex working conditions and solving the cumulative error problem caused by environmental interference and lack of motion compensation in traditional methods.

[0015] The three-dimensional dynamic modeling and multi-dimensional monitoring of the present invention integrate laser detection data and mechanical state information, generate the material accumulation shape and trend curve in real time, and improve the working condition perception ability in combination with the hierarchical alarm mechanism. The remote interaction system realizes two-way data transmission and dynamic adjustment of the algorithm through a dual-protocol interface, cooperates with the local cache mechanism to ensure data integrity, and the environment adaptive design reduces the maintenance requirements. Finally, a full-process intelligent monitoring system covering data acquisition, processing, compensation and output is constructed, providing reliable technical support for the unmanned control and precise scheduling of the coal conveying system. Description of the Drawings

[0016] In order to more clearly illustrate the technical solutions of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, for those of ordinary skill in the art, other drawings can also be obtained according to the drawings without creative labor.

[0017] Figure 1 It is a system architecture diagram of a bucket wheel coal fetching dynamic intelligent monitoring device provided by an embodiment of the present invention. Detailed Embodiments

[0018] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention. The following will describe in detail the technical solutions provided by each embodiment of the present invention with reference to the drawings. To better understand the objectives of the present invention, the present invention will be further described in detail below.

[0019] A dynamic intelligent monitoring device for coal fetching by a bucket wheel machine of the present invention is specifically described as follows; This device consists of a signal acquisition module, a data processing module, a dynamic compensation module, a human-machine interaction module, and an environment adaptation module. The signal acquisition module obtains the volume and operation status information of the belt material in real time through a laser detection unit and a speed feedback unit. The data processing module analyzes the original data and generates dynamic production information. The dynamic compensation module corrects the detection error based on the change of working conditions. The human-machine interaction module realizes data visualization and remote communication. The environment adaptation module ensures the stability of each unit under harsh working conditions. Each module is connected through a data bus to form a closed-loop feedback control system.

[0020] Signal acquisition module: The signal acquisition module includes a laser detection unit and a speed feedback unit. The laser detection unit uses an array of laser emitters, with multiple detection nodes distributed horizontally along the belt. It captures the cross-sectional shape of the material in real time through the change in the intensity of the reflected light and generates a volume pulse signal. The speed feedback unit is integrated on the side of the belt drive roller and converts the rotation of the roller into a pulse sequence through an optical encoder, synchronously recording the forward and reverse states of the belt. The data of the laser detection unit and the speed feedback unit are transmitted to the data processing module through a high-speed serial interface.

[0021] Data processing module: After receiving the volume pulse signal and the speed pulse sequence, the data processing module reconstructs a continuous material flow model using a sliding time window algorithm, and calculates the instantaneous flow rate and cumulative weight in combination with the belt speed. A built-in dual-buffer storage mechanism ensures data continuity, and an abnormal data filtering algorithm eliminates instantaneous interference. For the stacking and coal fetching working conditions, the module establishes an independent database and generates statistical results, and sends the processed dynamic information to the dynamic compensation module through the data bus.

[0022] The dual-buffer storage mechanism of the data processing module operates according to the following process: Set the main buffer and the standby buffer. When the main buffer receives the volume and speed signals of the current detection cycle, the standby buffer transfers the data that has completed calculations in the previous cycle to the dynamic compensation module, avoiding data interruption or loss due to overwriting.

[0023] When an instantaneous interference signal (such as a strong electromagnetic pulse or mechanical vibration noise) is detected, the abnormal data is marked and temporarily stored in the isolation area, and it is decided whether to re-include it in the calculation process or trigger an alarm after being verified by the compensation module.

[0024] Dynamic compensation module: The dynamic compensation module adaptively corrects the output of the data processing module according to the changes in the belt inclination angle, vibration amplitude and material characteristics. When belt deviation is detected, an alarm signal is triggered through the difference in laser data on both sides; when the material humidity changes, the density mapping coefficient is dynamically adjusted to achieve accurate weight conversion. The correction parameters are fed back to the data processing module in real time to form a closed-loop control.

[0025] In the dynamic compensation module, the error correction includes the following technical steps: When the material distribution becomes asymmetric due to the forward and reverse switching of the belt or the swing of the cantilever, the inclination sensor is used to collect the angle offset of the belt plane in real time, and the reference plane coordinate system of the volume calculation model is dynamically adjusted to eliminate the volume measurement error caused by the change in the belt attitude.

[0026] According to the change characteristics of the material density detected by the vibration sensor, an association mapping table between the density compensation coefficient and the vibration amplitude is established. When the material density fluctuates due to changes in humidity or accumulation form, the optimal density conversion coefficient is automatically matched to achieve dynamic calibration from volume to weight.

[0027] The corrected parameters are transmitted back to the data processing module in real time through the shared storage area, and the volume and weight conversion models are iteratively optimized in the next detection cycle to form an adaptive convergence mechanism for measurement errors.

[0028] Human-machine interaction module: The human-machine interaction module includes a graphic display unit and a communication interface unit. The graphic display unit uses a hierarchical rendering technology to synchronously display a three-dimensional simulation diagram of the material accumulation form, a flow / weight change curve and a deviation warning mark on the liquid crystal screen. The communication interface unit integrates Ethernet and MODBUS TCP protocols, uploads dynamic data to the coal conveying program control system, and receives remote control instructions. The touch screen interaction logic takes precedence over remote instructions to ensure emergency operation response.

[0029] The three-dimensional rendering engine of the graphic display unit performs the following processing: Generate continuous material surface contour point clouds from multiple groups of horizontally arranged laser detection data through an interpolation algorithm, and construct a dynamic three-dimensional accumulation model in combination with the belt speed information.

[0030] Adopt a frame-by-frame update and historical data superposition display technology to synchronously present the height gradient distribution of the material cross-section, the belt running direction arrow mark and the highlighted alarm area on the liquid crystal screen, supporting the operator to intuitively judge the material flow state.

[0031] Environmental Adaptation Module: The environmental adaptation module uses a sealed housing with an IP67 protection rating to enclose the detection unit. Inert gas inside suppresses dust adsorption, and the cable interface is set with a spiral waterproof structure. The detection unit bracket is made of damping alloy material, and a rubber shock-absorbing layer is set between it and the belt rack to reduce the influence of high-frequency vibration on the detection accuracy. The data processing module and the communication unit enhance the anti-electromagnetic interference ability through redundant circuit design.

[0032] Data Processing Flow: During system initialization, sensor calibration is performed and historical operating condition parameters are loaded. During operation, the laser detection unit collects material cross-section data at a millisecond-level cycle, and the speed feedback unit updates the belt status in real time. The data processing module converts the original data into standard production information, and the dynamic compensation module corrects errors based on environmental sensor data. The final result is displayed and transmitted through the human-machine interaction module. Abnormal data triggers an immediate alarm and is recorded in an independent log.

[0033] This device realizes high-precision output of dynamic metering under complex working conditions through multi-module collaboration and a closed-loop compensation mechanism, and at the same time integrates belt mechanical state monitoring and production data management. The modular design takes into account stable operation in harsh environments and seamless docking with remote systems, meeting the dual requirements of real-time performance and reliability in industrial fields.

[0034] Through the above technical means, the closed-loop parameter iteration mechanism of the present invention can achieve: Dynamic Error Suppression: Under variable working conditions such as belt forward and reverse switching, cantilever swing, and external vibration interference, maintain the stability of the volume and weight conversion model and avoid the spread of cumulative errors.

[0035] Enhanced Environmental Adaptability: The fully sealed structure and anti-vibration design block the influence of dust, moisture, and mechanical shock on the core detection unit, ensuring the long-term reliability of signal acquisition.

[0036] Human-Machine Interaction Closed Loop: The three-dimensional visualization interface and multi-protocol communication interface form a two-way monitoring link between local and remote, enabling manual intervention or automatic optimization of dynamic compensation parameters according to actual production requirements.

[0037] The technical solution of the present invention includes the following embodiments: Embodiment 1: System Architecture and Module Collaboration: The device of this Embodiment 1 consists of the following modules: Signal Detection Module: It includes a laser detection unit horizontally arranged on both sides of the bucket wheel machine belt and a speed feedback unit integrated on the side of the driving roller. The laser detection unit generates a material volume signal through the change in reflected light intensity, and the speed feedback unit outputs a pulse sequence synchronized with the belt speed through an optical encoder.

[0038] Data processing module: receives volume signals and speed pulses, calculates instantaneous flow and cumulative weight through a sliding time window algorithm, and distinguishes between stacking and reclaiming conditions to generate independent statistical data.

[0039] Dynamic compensation module: According to the input data of the belt inclination sensor and vibration sensor, linear correction is made to the material weight calculation result, and a deviation alarm is triggered when the difference between the laser data on both sides exceeds the limit.

[0040] Data output module: upload the processed data to the remote monitoring system through the Ethernet interface, and display the material accumulation form simulation diagram and real-time trend curve on the LCD screen.

[0041] The linear correction of the dynamic compensation module is achieved by the following techniques: When the vibration sensor detects lateral displacement of the belt, the baseline reference line of the laser detection unit is recalibrated according to the displacement direction and amplitude to eliminate the volume calculation baseline error caused by belt deviation.

[0042] The posture data of the inclination sensor, the displacement data of the vibration sensor and the material distribution data detected by the laser are time-synchronized and aligned, and comprehensive compensation parameters are generated through a weighted fusion algorithm to ensure that the correction results match the real-time working conditions.

[0043] Environmental adaptation module: The detection unit is encapsulated in a fully sealed shell, and the bracket has a built-in shock-absorbing structure to suppress external vibration interference.

[0044] Module interaction logic: The data of the laser detection unit and the speed feedback unit are synchronously transmitted to the data processing module through a high-speed serial interface; The output results of the data processing module are shared in real time to the correction parameter library of the dynamic compensation module; The compensated data is distributed to the display unit and the communication interface via the data bus.

[0045] Example 2: Signal detection module workflow: Laser detection unit: 8 groups of laser transmitting and receiving pairs are deployed horizontally along the belt, with a spacing of 150mm between each group, forming a detection array covering the full width of the belt; The material stacking height is calculated by the difference in reflected light intensity, and the cross-sectional shape of the material is reconstructed by combining the data of adjacent detection points; A volume pulse signal is generated every 50 ms and time-stamped.

[0046] Speed ​​feedback unit: The photoelectric encoder generates pulses as the drive roller rotates, and each pulse corresponds to 1mm of belt travel; Calculate the real-time belt speed through the pulse frequency, and distinguish the forward and reverse states through the direction mark; Abnormal speed fluctuations (such as slipping) trigger the fault tolerance mechanism of the data processing module.

[0047] Data integration: The volume signal and speed pulse are aligned by timestamp in the data processing module to generate an original data packet with a working condition label.

[0048] Example 3: Data processing of the dynamic compensation mechanism: Data processing module: Adopt a double-buffer storage area to receive data alternately to avoid data loss; Convert the volume data into weight values through the density mapping algorithm, and the mapping coefficient is dynamically loaded according to the material type; Separate independent databases are established for the forward and reverse working conditions of the belt, and the statistical period can be set from 1 minute to 1 hour.

[0049] Dynamic compensation module: When the vibration sensor detects that the displacement exceeds the limit, activate the reference point offset compensation algorithm; when the belt inclination changes by more than 5°, automatically adjust the geometric correction coefficient of the volume calculation model; the deviation alarm threshold is dynamically set according to the belt width (for example, for a 1200mm belt, the deviation is set to ±20mm).

[0050] Closed-loop control: The correction parameters of the compensation module are transmitted back to the data processing module in real time through the shared memory area to form iterative optimization.

[0051] Example 4: Human-machine interaction and remote communication: Graphic display unit: Adopt a 3D rendering engine to fuse 8 groups of laser detection data into a continuous stacking form simulation diagram; The real-time curve graph supports zooming and comparative analysis, and historical data is stored by working condition classification.

[0052] Communication interface unit: Ethernet interface A is connected to the plant-level management system to upload aggregated data regularly; Ethernet interface B accesses the unattended system of the bucket wheel stacker-reclaimer to receive emergency stop or speed adjustment instructions; The MODBUS TCP protocol encapsulates the data packet, including the message header, working condition label and check code.

[0053] Exception handling: When the communication is interrupted, the data is automatically cached in the local storage unit, and the alarm data is preferentially retransmitted after the connection is restored.

[0054] Example 5: Environmental adaptation and reliability design: Sealing and protection structure: The inside of the laser detection unit housing is filled with nitrogen to prevent dust from entering the optical channel; The cable entrance adopts a labyrinth seal structure to prevent water vapor from penetrating.

[0055] Anti-vibration design: A silicone shock-absorbing layer is set between the detection unit bracket and the belt frame, and the damping coefficient matches the belt vibration frequency; the circuit board is fixed with a spring buckle to prevent the solder joint from breaking due to vibration.

[0056] Redundant design: The main control chip and coprocessor of the data processing module run in parallel, and automatically switch when the main chip fails; the communication interface has dual-link backup, and the interruption of any link will not affect data upload.

[0057] Example 6: System workflow: Initialization phase: After power-on, the laser detection unit performs self-test and calibrates the reference reflected light intensity; loads the operating parameters of the last 24 hours into the data processing module cache.

[0058] Operation phase: the laser detection unit and speed feedback unit continuously collect data; the data processing module generates a dynamic production report every 1 second; the dynamic compensation module updates the correction parameter library every 5 seconds.

[0059] Abnormal response stage: When the deviation alarm is triggered, the data output module will synchronously send a red warning sign to the display screen and the remote system; after the communication is interrupted for more than 30 seconds, the local data protection mode will be activated and non-essential calculations will be stopped to reduce power consumption.

[0060] The logical framework of the technical solution of the present invention to solve the pain points of traditional technologies: The present invention captures the cross-sectional morphology of materials in real time by deploying multiple groups of laser emitters and receivers horizontally, and generates speed pulse signals in combination with the photoelectric encoder of the driving roller, thereby realizing bidirectional detection of material volume and belt running status. The data processing module uses a sliding time window algorithm to reconstruct the continuous material flow model, and simultaneously ensures data continuity through a double buffer storage mechanism, and uses an abnormal filtering algorithm to eliminate signal fluctuations caused by cantilever swing, thereby solving the data distortion problem caused by single-point detection and vibration interference in traditional methods. The laser data and speed signals aligned in time and space accurately adapt to the forward and reverse working conditions of the belt, eliminating the asymmetric error of material distribution.

[0061] The dynamic compensation module of the present invention receives data from the inclination sensor and the vibration sensor in real time. When the belt inclination changes beyond the limit, the geometric correction algorithm is triggered to adjust the volume reference plane. When the material humidity changes, the density mapping coefficient is dynamically updated to form a closed-loop parameter optimization. The laser detection unit adopts a fully sealed shell and inert gas filling to block dust pollution. The speed pulse generator bracket has a built-in silicone shock-absorbing layer to suppress vibration interference. The double protection design ensures the stability of signal acquisition in humid and dusty environments, and systematically solves the cumulative error problem caused by environmental factors.

[0062] The 3D rendering engine of the present invention integrates multiple sets of laser data to generate a simulation diagram of the material accumulation form, and synchronously displays the flow / weight trend curve; the deviation warning module compares the data differences on both sides to trigger hierarchical alarms. The dual-protocol interfaces of Ethernet and MODBUS TCP support bidirectional data transmission, and the remote system can dynamically adjust the algorithm parameters; when the communication is interrupted, the local storage unit automatically caches the key data, and preferentially retransmits the abnormal records after recovery, realizing the joint monitoring of the mechanical state and production data, and ensuring the control real-time performance and data integrity under complex working conditions.

Claims

1. A dynamic intelligent monitoring device for coal extraction by a bucket wheel excavator, characterized in that: include: A signal detection module, used for detecting the volume change of materials on the bucket wheel conveyor belt in real time through a laser signal generator, and converting the volume change into an electrical signal; A data processing module, connected to the signal detection module, for receiving the electrical signal, calculating the electrical signal based on a preset algorithm, and generating dynamic data of the real-time volume, flow rate, weight and belt running speed of the material; A dynamic compensation module, connected to the data processing module, for performing linear correction and automatic compensation of the dynamic data; The data output module is connected to the data processing module and is used to transmit the dynamic data to an external control system through a communication interface, and control the display screen to display the material stacking form and the belt running status in real time.

2. The bucket wheel excavator coal taking dynamic intelligent monitoring device according to claim 1 is characterized in that: The signal detection module also includes: The speed pulse generator is integrated into the side of the bucket wheel belt roller and is used to generate a pulse signal proportional to the belt speed; The data processing module further calculates the belt running speed and forward and reverse rotation status based on the pulse signal.

3. The bucket wheel excavator coal taking dynamic intelligent monitoring device according to claim 1 is characterized in that: The data processing module comprises: A central processing unit, used to execute the preset algorithm, convert the material volume into weight data, and generate statistical results of the belt running status; The data storage unit is used to store the dynamic data and maintain the data integrity when power is off.

4. The bucket wheel excavator coal taking dynamic intelligent monitoring device according to claim 1 is characterized in that: The dynamic compensation module is also used for: When the belt is switched between forward and reverse rotation, error correction is performed on the dynamic data, and a deviation alarm signal is triggered; The data output module further transmits the deviation alarm signal to an external monitoring system.

5. The bucket wheel excavator coal taking dynamic intelligent monitoring device according to claim 1 is characterized in that: The data output module comprises: Multi-protocol communication interface, supporting Ethernet and MODBUS TCP protocols, used for data interaction with coal handling program control system and unattended system; The graphic display unit is used to generate real-time images and data curve graphs of the accumulation form during material transportation.

6. The bucket wheel excavator coal taking dynamic intelligent monitoring device according to claim 5 is characterized in that: The multi-protocol communication interface is also configured as: Receive external control instructions and adjust the algorithm parameters of the data processing module based on the instructions The graphic display unit further supports human-computer interaction operations via a touch screen or a keyboard.

7. The bucket wheel excavator coal taking dynamic intelligent monitoring device according to claim 1 is characterized in that: Also includes: The environmental adaptation module is integrated in the signal detection module and the data processing module, and is used to maintain the detection accuracy in a dusty and humid environment and to achieve a fully sealed structure that is waterproof and dustproof.

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