Coal mine fully mechanized coal mining face OCS optical fiber intelligent communication control method and system

Abstract

The invention discloses a coal mine fully mechanized coal mining face OCS optical fiber intelligent communication control method and system, and the method comprises the following steps: 1, achieving the interconnection and intercommunication of fully mechanized coal mining face equipment through an OCS gateway controller, secondly, signals of a coal mining machine, a scraper, a crusher, a reversed loader and a coal cutter are accessed through an OCS gateway controller, and working face communication telephone locking is achieved, so that the equipment state information real-time monitoring and emergency functions are achieved, and thirdly, the state information of the hydraulic support is mapped into a digital twinning model in real time through the three-dimensional modeling and digital twinning technology. The method comprises the following steps of (1) carrying out a three-dimensional modeling and digital twinborn model integration module, (2) carrying out a three-dimensional modeling and digital twinborn model integration module, (3) carrying out a three-dimensional modeling and digital twinborn model integration module, (4) carrying out fault positioning and coal cutting operation through a digital twinborn model, and (5) outputting a fault diagnosis result through a visual module to realize accurate maintenance. The device has the characteristics of improving the production efficiency and the safety.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent communication control, and particularly to an OCS fiber optic intelligent communication control method and system for a fully mechanized coal mining face in a coal mine. Background Technique

[0002] With the continuous development of coal mining technology and the improvement of the requirements for coal mine safety production, the traditional management and monitoring methods of coal mine equipment are difficult to meet the requirements of high efficiency, safety and intelligence in modern coal mine production. Especially during the operation of the fully mechanized coal mining face, the complexity of the equipment and the harshness of the working environment make the condition monitoring, fault diagnosis, operation control of the equipment and the safety guarantee of personnel urgent problems to be solved.

[0003] The traditional coal mine equipment monitoring system mainly relies on manual operation and a single equipment monitoring system. There is a lack of effective interconnection and communication between equipment, the information transmission speed is slow, and there are high costs for troubleshooting and maintenance. Due to the different communication protocols of each equipment, the data between equipment cannot be effectively shared, resulting in the need for manual diagnosis one by one during equipment fault troubleshooting, which seriously affects production efficiency. In addition, the coal mining face is often underground, restricted by complex terrain and communication environment, and it is difficult for traditional communication networks and monitoring systems to achieve stable data transmission and equipment operation. Therefore, it is necessary to design an OCS fiber optic intelligent communication control method and system for a fully mechanized coal mining face in a coal mine to improve production efficiency and safety. Summary of the Invention

[0004] The purpose of the present invention is to provide an OCS fiber optic intelligent communication control method and system for a fully mechanized coal mining face in a coal mine to solve the problems raised in the above background technique.

[0005] To solve the above technical problems, the present invention provides the following technical solution: An OCS fiber optic intelligent communication control method for a fully mechanized coal mining face in a coal mine, the method comprising the following steps: Step 1: Realize the interconnection and communication of the equipment on the fully mechanized coal mining face through an OCS gateway controller; Step 2: Access the signals of the shearer, scraper conveyor, crusher, loader, coal cutter and the communication telephone interlock on the working face through the OCS gateway controller to realize real-time monitoring of the equipment status information and emergency functions; Step 3: Map the status information of the hydraulic support to the digital twin model in real time through three-dimensional modeling and digital twin technology; Step 4: Perform fault location and coal cutting operations through the digital twin model; Step 5: Output the fault diagnosis result through the visualization module to achieve precise maintenance.

[0006] According to the above technical solution, the steps of realizing the interconnection and interoperability of the fully-mechanized mining face equipment through the OCS gateway controller include: Install the OCS gateway controller and fix it at the reserved position of the hydraulic support; Access multiple signal types, including Wi-Fi, Ethernet, CAN, RS485, audio, and fiber optic signals; Connect the OCS gateway controller to the fully-mechanized mining face equipment through a fiber composite hose cable; Conduct an insulation test after installation.

[0007] According to the above technical solution, the steps of realizing the real-time monitoring of equipment status information and emergency functions by accessing the signals of shearer, scraper conveyor, crusher, transfer machine, coal cutter, and the locking of the working face communication telephone through the OCS gateway controller include: Access the status information of each device through the OCS gateway controller, including shearer, scraper conveyor, crusher, transfer machine, and coal cutter; Configure the communication protocol of the device, and set the baud rate, data frame format, and priority; Set a high-priority channel for the emergency stop locking signal; Collect the emergency stop signal through the hardware interface, and the response delay is less than 10 milliseconds; Configure the working face communication telephone and the emergency locking signal and support the emergency stop function.

[0008] According to the above technical solution, the steps of mapping the status information of the hydraulic support to the digital twin model in real time through 3D modeling and digital twin technology include: Collect the structure and terrain data of the mine through laser scanning and topographic surveying and mapping means to construct a 3D view of the mine; Define the normal working range of the hydraulic support in the model, and the data outside this range is regarded as abnormal; Use the Simulink module to directly write the abnormal range as a threshold into the model.

[0009] According to the above technical solution, the steps of directly writing the abnormal range as a threshold into the model by using Simulink include: Collect the working data of the hydraulic support over a past period under normal working conditions, calculate the mean, standard deviation, maximum value, and minimum value of this data, and set a tolerance interval based on the normal data to define the normal fluctuation range. Data outside this interval is regarded as abnormal. When the mean of the hydraulic pressure under normal working conditions is 200 Mpa and the standard deviation is 5 Mpa, a tolerance interval of ±3 standard deviations is set at this time, that is, the abnormal range is defined as below 185 Mpa or above 215 Mpa. Finally, the abnormal range is directly written into the model as a threshold through the simulink module of MATLAB, and the mapping relationship between the status information of each hydraulic support and the model parameters is set in the platform. The hydraulic support pressure data is mapped to the hydraulic cylinder pressure display module, and the support pushing stroke data is mapped to the telescopic state of the support.

[0010] According to the above technical solution, the steps of fault location and coal cutting operation through the digital twin model include: When the status data of the hydraulic support is abnormal, the digital twin model automatically enters the fault simulation analysis process; Based on the abnormal data, conduct a preliminary fault judgment to lock potential faulty components, such as hydraulic cylinder leakage, oil circuit blockage, valve failure; Use the digital twin model to simulate each possible faulty component and analyze its performance under the current working conditions; When the simulation of a single component cannot explain all the abnormalities, the system enters the joint analysis of multiple components to simulate the comprehensive fault situation of the hydraulic cylinder, oil circuit, and valve; The system generates a fault diagnosis report based on the simulation results, pointing out the specific faulty components and their mutual influences; Through the digital twin model interface, directly issue commands on the remote operation platform to control the coal cutter, adjust the depth of the coal cutter, change the coal cutting direction, or select the coal cutting area.

[0011] According to the above technical solution, the steps of when the status data of the hydraulic support is abnormal and the digital twin model automatically enters the fault simulation analysis process include: When the hydraulic support pressure data is abnormal, the system first conducts a comparative analysis of the hydraulic cylinder leakage simulation and the pressure change trend. The system defaults that the hydraulic cylinder fails (such as seal damage or internal leakage), and the system will adjust the leakage coefficient inside the hydraulic cylinder , and calculate the simulated pressure value: , where: is the simulated pressure, is the flow rate in the hydraulic system, is the leakage coefficient of the hydraulic cylinder, is the resistance of the oil circuit, and the system will compare the simulated value with the real-time pressure value of the hydraulic support , compare them. When they match, the fault source is located in the hydraulic cylinder; otherwise, the fault comes from the next possible component, and the system continues to simulate the next component.

[0012] According to the above technical solution, the step of when the simulation of a single component cannot explain all anomalies and the system enters the joint analysis of multiple components to simulate the comprehensive fault situations of the hydraulic cylinder, oil circuit, and valve includes: When the simulation of a single component cannot explain all anomalies, the system will automatically enter the multi-component analysis. The system conducts joint simulation of multiple components through the relationships between components established by the digital twin model: The system assumes that multiple components are abnormal at the same time, adjusts the state parameters of the hydraulic cylinder, oil circuit, and valve in sequence, and calculates the matching degree between the simulated value and the abnormal data of the hydraulic support. Assuming that there are faults in both the hydraulic cylinder and the oil circuit at the same time, the system will apply the following formula to accumulate the abnormal values of each component and simulate the overall state of the system, that is: Total anomaly = , Where: is the simulated data value of each abnormal component, is the corresponding weight coefficient, indicating the influence degree of the anomaly of this component on the total fault. n is the number of faulty components. After the system adjusts the weights and simulation parameters, it finally selects the combination closest to the actual abnormal data and marks it as the collaborative fault source. This process is iterated repeatedly until the best match is found. After the system completes all fault simulations, it will generate a final fault diagnosis report, indicating the specific faulty components and their mutual influence situations.

[0013] According to the above technical solution, the steps of outputting the fault diagnosis result through the visualization module to achieve precise maintenance include: The digital twin interface displays the working state and fault location of the hydraulic support in real time, and the faulty components are highlighted; After the fault is confirmed, the system immediately sends an alarm signal to indicate the fault location through the alarm light; Based on the diagnosis report, the system generates maintenance suggestions and fault history records to gradually improve the accuracy of fault prediction and diagnosis.

[0014] According to the above technical solution, this method is used to implement an OCS fiber optic intelligent communication control system for a fully mechanized coal mining face in a coal mine. The system includes: The equipment interconnection and data transmission module is used to fuse the signals of the fully mechanized coal mining face equipment through the OCS gateway controller to achieve interconnection and data transmission between equipment; The equipment status monitoring and emergency stop locking module is used to achieve real-time monitoring of various equipment through the OCS gateway controller; 3D modeling and digital twin model integration module, which is used to achieve virtual mapping of fully mechanized coal mining face equipment and environment through 3D modeling and digital twin technologies, and provide real-time status monitoring, fault location and coal cutting operation functions.

[0015] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: In the present invention, device interconnection and interoperability are realized through the OCS gateway controller, various communication protocols are integrated, and by real-time monitoring the working status of each device and using the digital twin model for fault diagnosis and simulation analysis, the fault source can be accurately located and maintenance suggestions can be provided. Combining with the remote control function, users can perform coal cutting operations and device control through the digital twin platform, improving operation efficiency, optimizing the coal cutting path, and ensuring the safety and reliability of device operation. This method greatly improves the intelligent and automated level of the fully mechanized coal mining face in coal mines, effectively reduces the fault handling time and maintenance cost, and improves production safety and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings are used to provide further understanding of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention. In the drawings: Figure 1 is a flowchart of the steps of a method for OCS fiber optic intelligent communication control of a coal mine fully mechanized coal mining face provided in Embodiment 1 of the present invention; Figure 2 is a schematic diagram of the module composition of a system for OCS fiber optic intelligent communication control of a coal mine fully mechanized coal mining face provided in Embodiment 2 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. 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 shall fall within the protection scope of the present invention.

[0018] Embodiment 1: Figure 1 is a flowchart of a method for OCS fiber optic intelligent communication control of a coal mine fully mechanized coal mining face provided in Embodiment 1 of the present invention. This embodiment can be applied to scenarios such as coal mine equipment maintenance and remote automated coal cutting. This method can be executed by a system for OCS fiber optic intelligent communication control of a coal mine fully mechanized coal mining face provided in this embodiment, as Figure 1 shown. The method specifically includes the following steps: Step 1: Through the OCS gateway controller, achieve interconnection and interoperability of the fully mechanized coal mining face equipment; In the embodiment of the present invention, according to the actual requirements of the fully-mechanized coal mining face, signal fusion processing is achieved through the OCS gateway controller. The OCS gateway controller integrates functions such as multiple intrinsically safe power supplies, switches, audio processing modules, personnel positioning base station modules, data isolation and forwarding modules, etc. It can be compatible with and access multiple signals such as Wi-Fi, Ethernet, CAN, RS485, audio, and optical fiber. Install the OCS gateway controller at the reserved position of the hydraulic support and fix it with bolts. Before installation, check whether the installation point of the hydraulic support meets the protection requirements and clean the surface to ensure good contact. During the installation process, connect the power supply of the gateway controller to the support electrical system and connect the ground wire to complete the safety grounding. After installation, conduct an insulation test on the controller. Subsequently, lay the fiber optic composite hose cable, starting from the OCS gateway controller, and connect the shearer, scraper conveyor, crusher, transfer conveyor, coal cutter, and fully-mechanized coal mining face hydraulic support in sequence. During the laying process, plan the cable path along the equipment layout of the fully-mechanized coal mining face, and at the same time install a protective pipe to protect the cable; Exemplarily, connect the fiber optic composite hose cable to the OCS gateway controller and access the main equipment of the fully-mechanized coal mining face through the communication interface of the controller, including hydraulic supports, shearers, scraper conveyors, crushers, and transfer conveyors. Configure a unified communication protocol among the equipment to ensure that the status information and operation instructions of each equipment can be transmitted and responded to in real time through the fiber optic composite hose cable. At the same time, connect the working face communication phone and the locking data to the gateway controller, which is uniformly managed and distributed by the controller.

[0019] Step 2: Access the signals of the shearer, scraper conveyor, crusher, transfer conveyor, coal cutter, and the communication phone locking of the working face through the OCS gateway controller to achieve real-time monitoring of the equipment status information and emergency functions; In the embodiment of the present invention, according to the equipment interface types and communication protocols of the shearer, scraper conveyor, crusher, transfer conveyor, and coal cutter, connect the signal output ports of each equipment to the signal input ports of the OCS gateway controller through the fiber optic composite hose cable. In the OCS gateway controller, configure a separate communication address and parameters for each equipment, including baud rate, data frame format, protocol type, and priority. In addition, set a high-priority channel for the emergency stop locking signal with high real-time requirements. Configure and analyze the status monitoring parameters of each equipment, and achieve real-time acquisition through the mapping between the gateway controller and the equipment signal interface: Exemplarily, the working voltage and current of the drive motor are collected in real time to evaluate the equipment operation load and energy consumption. The temperatures of the drive motor and the main reduction gear are collected to monitor whether the equipment is within the safe operating temperature range. The position of the shearer in the working face trajectory is determined by using an encoder or a laser ranging device, and the resolution can be adjusted according to the working conditions (such as 0.1 m). The current working mode of the shearer (such as coal cutting, shutdown, standby) and its corresponding step length and cutting parameters are collected. The inclination angle and rotation angle of the shearer are collected through an inertial navigation sensor to ensure that the equipment attitude is consistent with the preset trajectory. At the same time, the working face communication phone and the emergency stop lock signal are connected to ensure unobstructed voice communication during the operation of each device and provide the function of stopping the device in case of emergency. The emergency stop signal is collected through a hardware interface directly connected to a high-priority interrupt channel, and the response delay is less than 10 ms.

[0020] Exemplarily, a one-key emergency stop function is configured in the control center to quickly stop the equipment operation through a hardware interrupt signal. When the emergency call signal is detected by the working face communication phone, an emergency stop command is automatically sent to the OCS gateway controller to achieve the linkage emergency stop of all equipment in the line. In the real operation environment, the alarm response time and the emergency stop lock function are tested to ensure that the alarm delay does not exceed the set value (such as 200 ms) and the emergency stop response meets the design requirements (<10 ms).

[0021] Step 3: The state information of the hydraulic support is mapped into the digital twin model in real time through 3D modeling and digital twin technology; In the embodiment of the present invention, the signal of the hydraulic support controller is accessed through the OCS gateway controller to monitor the state information of the hydraulic support in real time, such as: support number, support pressure, support pushing stroke, support height, support retracting and extending the rib protection state, support attitude. Subsequently, the structure and terrain data in the mine are collected through surveying and mapping means such as laser scanning and topographic survey. The data covers all key structures, support positions and channel layouts in the mine. Then, the surveying and mapping data is sorted out and format converted to make it suitable for input into 3D modeling tools. After coordinate conversion and data cleaning, finally, a 3D view of the mine is constructed by using 3D modeling software according to the preprocessed surveying and mapping data. The structures such as channels, branches, key equipment and supports inside the mine are represented in the model and restored according to the actual proportion. In the 3D mine model, the position of each hydraulic support is accurately calibrated. According to the actual installation angle and azimuth information of the support, corresponding positioning and calibration are carried out in the model. When the mine terrain changes greatly or the structure is relatively complex, the model needs to be further refined, and information such as mine shafts, entrances and exits, and exhaust channels is added to the model; Exemplarily, according to the usage situation and material characteristics of the support, mechanical properties including mass, center of gravity, stiffness, damping coefficient, etc. are set in the three-dimensional mine model. For the hydraulic cylinder and each joint, the telescopic range of the support rod is set to 0 - 1000 mm, and the inclination angle is set to an active range of -10 degrees to +10 degrees. Subsequently, the three-dimensional mine model is imported into the digital twin platform. At this time, a data stream channel from the OCS gateway controller to the twin platform is established using the MQTT protocol to achieve the communication connection between the hydraulic support data and the twin model; Exemplarily, the normal working range of the state information of the hydraulic support is defined in the digital twin model. The specific method is as follows: Collect the working data of the hydraulic support in the normal working state over a period of time, calculate the average value, standard deviation, maximum value, and minimum value of this data, and set a tolerance interval based on the normal data to define the normal fluctuation range. Data outside this interval is regarded as abnormal. For example, the average value of the hydraulic pressure is 200 Mpa, and the standard deviation is 5 Mpa. A tolerance interval of ±3 standard deviations is set, that is, the abnormal range is defined as below 185 Mpa or above 215 Mpa. Finally, the abnormal range is directly written into the model as a threshold through the simulink module of MATLAB, and the mapping relationship between the state information of each hydraulic support and the model parameters is set in the platform. For example, the hydraulic support pressure data is mapped to the hydraulic cylinder pressure display module, and the support pushing stroke data is mapped to the telescopic state of the support, so that the digital twin model is bound to the real-time state data of the hydraulic support to ensure that the model state is synchronized with the actual working state in real time.

[0022] Step Four: Perform fault location and coal cutting operations through the digital twin model; In the embodiment of the present invention, when the real-time state data of the hydraulic support is abnormal, the digital twin model will automatically enter the fault simulation analysis process. First, preliminary abnormal identification is performed. The system makes a preliminary fault judgment based on the abnormal situation of the hydraulic support state data, such as a sudden drop in the hydraulic cylinder pressure, flow rate fluctuation, support inclination deviation, etc. Each abnormal type corresponds to one or more possible fault sources. For example: The pressure drop may be caused by hydraulic cylinder leakage, oil circuit blockage, valve failure, etc.; The flow rate reduction may be caused by oil circuit blockage, flow valve abnormality, hydraulic pump efficiency decline, etc.; The displacement deviation may indicate a failure of the support telescopic component or a malfunction of the hydraulic cylinder stroke control; The preliminary identification helps the system lock a series of potential faulty components. Subsequently, the digital twin model simulates each possible faulty component one by one to analyze its working state under the current conditions. The specific steps are as follows: When the pressure data of the hydraulic support is abnormal, the system first conducts a comparative analysis of the hydraulic cylinder leakage simulation and the pressure change trend. The system defaults that a hydraulic cylinder failure occurs (such as seal damage or internal leakage), and the system will adjust the leakage coefficient in the hydraulic cylinder , and calculate the simulated pressure value: , where: is the simulated pressure, is the flow rate in the hydraulic system, is the leakage coefficient of the hydraulic cylinder, is the resistance of the oil circuit. The system will compare the simulated value with the pressure value of the real-time hydraulic support . When the two match, the fault source is located in the hydraulic cylinder; otherwise, the fault comes from the next possible component, and the system will continue to simulate the next component at this time; Exemplarily, when the simulation of a single component cannot explain all the anomalies, the system will automatically enter the multi-component analysis. The system uses the relationships between components established by the digital twin model to conduct multi-component joint simulation: The system assumes that multiple components are abnormal at the same time, and sequentially adjusts the state parameters of components such as hydraulic cylinders, oil circuits, and valves, and calculates the matching degree between the simulated value and the abnormal data of the hydraulic support. Assuming that there are faults in both the hydraulic cylinder and the oil circuit at the same time, the system will apply the following formula to accumulate the abnormal values of each component to simulate the overall state of the system, that is: Total anomaly = , where: is the simulated data value of each abnormal component, is the corresponding weight coefficient, indicating the influence degree of the anomaly of this component on the total fault. n is the number of faulty components. After the system adjusts the weights and simulation parameters, it finally selects the combination closest to the actual abnormal data and marks it as the collaborative fault source. This process is iterated repeatedly until the best match is found. After the system completes all fault simulations, it will generate a final fault diagnosis report, indicating the specific faulty components and their mutual influence situations.

[0023] Exemplarily, the user can also view the operating status of the fully mechanized coal mining face equipment in real time through the digital twin model interface, including the position of the roadheader, the status of the hydraulic support, and the distribution of the coal seam. The user can directly issue commands on the remote operation platform to control the roadheader, adjust the depth of the roadheader, change the coal cutting direction, or select the coal cutting area. The operation commands are transmitted to the control system through the network and then transmitted to the underground equipment through optical fiber signals to control the movement of the roadheader. At the same time, the system combines three-dimensional modeling with mine terrain data, uses a path optimization algorithm to plan the optimal coal cutting path for the roadheader, and dynamically adjusts the coal cutting depth and path according to the coal seam hardness, support position, and working environment to maximize the operation efficiency and energy utilization rate.

[0024] Step 5: Output the fault diagnosis result through the visualization module to achieve precise maintenance; In the embodiment of the present invention, the system displays the working state and fault location of the hydraulic support in real time through the digital twin interface. The faulty components are highlighted in the visualization model, and at the same time, the parameter changes of the fault are displayed (such as the numerical changes of pressure and flow rate). The faulty parts will be displayed in red or other prominent markings in the 3D mine view. Through means such as color and graphic markings, maintenance personnel can determine the exact location of the faulty components at a glance and view their fault types. When the fault is confirmed, the system immediately sends an alarm signal, including various notification methods such as displaying an alarm notice on the console and an audible and visual alarm device, so that the duty personnel can learn about the occurrence of the fault in the first time. At the same time, a fault alarm light is installed on each hydraulic support, and the system controls the alarm light of the faulty support to light up through instructions to indicate to the maintenance personnel to quickly locate; Exemplarily, based on the diagnostic report, the system will generate maintenance suggestions, such as the seals to be replaced and the list of components to be inspected. The results of each fault diagnosis will be automatically recorded and stored in the fault history library. Subsequent fault analysis can refer to this historical record to optimize the digital twin model of the system and gradually improve the accuracy of fault prediction and diagnosis.

[0025] Embodiment 2: Embodiment 2 of the present invention provides an OCS fiber optic intelligent communication control system for a fully mechanized coal mining face in a coal mine. Figure 2 It is a schematic diagram of the module composition of an OCS fiber optic intelligent communication control system provided for Embodiment 2 of the present invention. As Figure 2 shown, the system includes: An equipment interconnection and data transmission module, which is used to fuse the signals of the fully mechanized coal mining face equipment through the OCS gateway controller to achieve interconnection and data transmission between equipment; An equipment status monitoring and emergency stop and lock module, which is used to achieve real-time monitoring of various equipment through the OCS gateway controller; A 3D modeling and digital twin model integration module, which is used to achieve virtual mapping of the fully mechanized coal mining face equipment and environment through 3D modeling and digital twin technology, and provide functions such as real-time status monitoring, fault location, and coal cutting operation; In some embodiments of the present invention, the equipment interconnection and data transmission module includes: An OCS gateway controller function integration module, which is used to integrate functions such as multiple intrinsically safe power supplies, switches, audio processing modules, personnel positioning base station modules, and data isolation and forwarding modules. These function integrations can support multiple devices and communication protocols at the same time, including Wi-Fi, Ethernet, CAN, RS485, audio, and fiber optic; Device connection and signal transmission module, which is used to connect the OCS gateway controller with main equipment such as hydraulic supports, shearers, scraper conveyors, crushers, transfer conveyors, and coal cutters through fiber optic composite hose cables in fully mechanized coal mining face equipment; Safety access and protection module, which is used to ensure that the installation points of hydraulic supports meet the protection requirements and conduct insulation tests when installing the OCS gateway controller. When connecting the device power supply, grounding and electrical system connection should be carried out simultaneously to ensure the stable operation of the system. In addition, when laying cables, the cable path should be planned to avoid external interference and protective pipes should be installed to protect the cables, ensuring the long-term stability and safety of the cable system; In some embodiments of the present invention, the device status monitoring and emergency stop locking module includes: Device status data real-time acquisition module, which is used to connect to the signal ports of each device through the OCS gateway controller to real-time acquire the operation parameters of each device; Emergency stop locking signal transmission and processing module, which is used to ensure that the device can stop quickly in case of emergency. Connect the emergency stop signal to the high-priority interrupt channel of the OCS gateway controller through the hardware interface to ensure that the emergency stop response time is less than 10 milliseconds. At the same time, through the emergency call signal of the face communication phone, the emergency stop command can be quickly sent to achieve the linkage stop of all devices on the line and improve the safety of the working face; One-key emergency stop function module, which is used to configure a one-key emergency stop button in the control center. When the emergency call signal is detected, the system will automatically send an emergency stop command to the OCS gateway controller to immediately stop the operation of all connected devices; In some embodiments of the present invention, the 3D modeling and digital twin model integration module includes: 3D modeling and digital twin model construction module, which is used to obtain the structure and terrain data of the mine through laser scanning and terrain measurement technologies to construct a 3D model of the mine. By mapping the real-time status data (such as pressure, stroke, attitude, etc.) of the hydraulic support, a digital twin model is created to make the virtual mapping of the mine equipment consistent with the actual operation status; Fault location and simulation analysis module, which is used to automatically conduct fault simulation analysis by the digital twin model according to the real-time acquired data when the status of the hydraulic support is abnormal; Remote control and coal cutting operation module, which is used to enable users to view the status of fully mechanized coal mining face equipment in real time and issue instructions through the digital twin model.

[0026] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0027] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions recorded in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An OCS fiber optic intelligent communication control method for fully mechanized coal mining face, characterized in that: The operation method includes the following steps: Step 1: Achieve the interconnection and interoperability of the fully mechanized mining face equipment through the OCS gateway controller; Step 2: Access the signals of the shearer, scraper conveyor, crusher, conveyor, coal cutter and the communication telephone interlock of the working face through the OCS gateway controller to realize real-time monitoring of equipment status information and emergency functions; Step 3: Real-time map the status information of the hydraulic support into the digital twin model through 3D modeling and digital twin technology; Step 4: Perform fault location and coal cutting operations through the digital twin model; Step 5: Output the fault diagnosis result through the visualization module to achieve precise maintenance.

2. The OCS optical fiber intelligent communication control method for a fully mechanized coal mining face according to claim 1, wherein: The step of achieving the interconnection and interoperability of the fully mechanized mining face equipment through the OCS gateway controller includes: Install the OCS gateway controller and fix it at the reserved position of the hydraulic support; Access multiple signal types, including Wi-Fi, Ethernet, CAN, RS485, audio and fiber optic signals; Connect the OCS gateway controller to the fully mechanized mining face equipment through a fiber optic composite hose cable; Conduct an insulation test after installation.

3. A method for intelligent communication control of OCS optical fiber in a fully mechanized coal mining face according to claim 1, characterized in that: The step of accessing the signals of the shearer, scraper conveyor, crusher, conveyor, coal cutter and the communication telephone interlock of the working face through the OCS gateway controller to realize real-time monitoring of equipment status information and emergency functions includes: Access the status information of each device through the OCS gateway controller, including the shearer, scraper conveyor, crusher, conveyor, coal cutter; Configure the communication protocol of the device, set the baud rate, data frame format and priority; Set a high-priority channel for the emergency stop interlock signal; Collect the emergency stop signal through the hardware interface, and the response delay is less than 10 milliseconds; Configure the working face communication telephone and the emergency interlock signal and support the emergency stop function.

4. The OCS optical fiber intelligent communication control method for a fully mechanized coal mining face according to claim 1, characterized in that: The step of real-time mapping the status information of the hydraulic support into the digital twin model through 3D modeling and digital twin technology includes: Collect the structure and terrain data of the mine through laser scanning and topographic surveying and mapping means to construct a 3D view of the mine; Define the normal working range of the hydraulic support in the model, and the data outside this interval is regarded as abnormal; Use the Simulink module to directly write the abnormal range as a threshold into the model.

5. A method for intelligent communication control of OCS optical fiber in a fully mechanized coal mining face according to claim 4, characterized in that: The step of directly writing the abnormal range as a threshold into the model using Simulink includes: Collect the working data of the hydraulic support over a period of time in the normal working state, calculate the average value, standard deviation, maximum value and minimum value of the data, and set a tolerance interval on the basis of the normal data to define the normal fluctuation range. The data outside this interval is regarded as abnormal. When the average value of the hydraulic pressure in the normal working state is 200 Mpa and the standard deviation is 5 Mpa, a tolerance interval of ±3 standard deviations is set at this time, that is, the abnormal range is defined as less than 185 Mpa or higher than 215 Mpa. Finally, use the simulink module of MATLAB to directly write the abnormal range as a threshold into the model, and set the mapping relationship between the status information of each hydraulic support and the model parameters in the platform. The hydraulic support pressure data is mapped to the hydraulic cylinder pressure display module, and the support push stroke data is mapped to the telescopic state of the support.

6. The OCS fiber optic intelligent communication control method for fully mechanized coal mining face according to claim 1, characterized in that: The steps of fault location and coal cutting operation through the digital twin model include: When the status data of the hydraulic support is abnormal, the digital twin model automatically enters the fault simulation analysis process; Based on the abnormal data, a preliminary fault judgment is made to lock in potential faulty components, such as hydraulic cylinder leakage, oil circuit blockage, valve failure; Use the digital twin model to simulate each possible faulty component and analyze its performance under the current working conditions; When the simulation of a single component cannot explain all the anomalies, the system enters the multi-component joint analysis to simulate the comprehensive fault scenarios of the hydraulic cylinder, oil circuit, and valve; The system generates a fault diagnosis report based on the simulation results, indicating the specific faulty components and their mutual influences; Through the digital twin model interface, commands are directly issued on the remote operation platform to control the coal cutter, adjust the depth of the coal cutter, change the coal cutting direction, or select the coal cutting area.

7. A method for intelligent communication control of OCS optical fiber in a fully mechanized coal mining face according to claim 6, characterized in that: The steps of when the status data of the hydraulic support is abnormal and the digital twin model automatically enters the fault simulation analysis process include: When the pressure data of the hydraulic support is abnormal, the system first conducts a comparative analysis of the hydraulic cylinder leakage simulation and the pressure change trend. The system defaults that the hydraulic cylinder fails (such as seal damage or internal leakage), and the system will adjust the leakage coefficient in the hydraulic cylinder , and calculate the simulated pressure value: , where: is the simulated pressure, is the flow rate in the hydraulic system, is the leakage coefficient of the hydraulic cylinder, is the resistance of the oil circuit. The system will compare the simulated value with the pressure value of the real-time hydraulic support . When the two match, the fault source is located in the hydraulic cylinder; otherwise, the fault comes from the next possible component, and at this time, the system continues to simulate the next component.

8. A method for intelligent communication control of OCS optical fiber in a fully mechanized coal mining face according to claim 6, characterized in that: The steps of when the simulation of a single component cannot explain all the anomalies and the system enters the multi-component joint analysis to simulate the comprehensive fault scenarios of the hydraulic cylinder, oil circuit, and valve include: When the simulation of a single component cannot explain all the anomalies, the system will automatically enter the multi-component analysis. The system conducts multi-component joint simulation through the relationships between components established by the digital twin model: The system assumes that multiple components are abnormal simultaneously, and sequentially adjusts the state parameters of the hydraulic cylinder, oil circuit, and valve, and calculates the matching degree between the simulated values and the abnormal data of the hydraulic support. Assuming that there are faults in both the hydraulic cylinder and the oil circuit simultaneously, the system will apply the following formula to accumulate the abnormal values of each component to simulate the overall state of the system, that is: Total Exception= , Wherein: is the simulated data value for each abnormal component, is the corresponding weight coefficient, indicating the influence degree of the abnormality of this component on the total failure. n is the number of failed components. After the system adjusts the weights and simulation parameters, it finally selects the combination closest to the actual abnormal data and marks it as the collaborative failure source. This process is iterated repeatedly until the best match is found. After the system completes all failure simulations, it will generate a final failure diagnosis report, indicating the specific failed components and their mutual influence situations.

9. The OCS optical fiber intelligent communication control method for a fully-mechanized coal mining face according to claim 1, wherein: The steps of outputting the fault diagnosis result through the visualization module to achieve precise maintenance include: The digital twin interface displays the working status and fault location of the hydraulic support in real time, and the faulty components are highlighted; After the fault is confirmed, the system immediately sends an alarm signal to indicate the fault location through the alarm light; Based on the diagnosis report, the system generates maintenance suggestions and fault history records to gradually improve the accuracy of fault prediction and diagnosis.

10. An OCS fiber optic intelligent communication control system for a fully mechanized coal mining face, which is implemented by the control method according to any one of claims 1 to 9; characterized in that: The system includes: The device interconnection and data transmission module is used to fuse the signals of the fully-mechanized mining face equipment through the OCS gateway controller to achieve interconnection and data transmission between devices; The device status monitoring and emergency stop locking module is used to achieve real-time monitoring of various devices through the OCS gateway controller; The three-dimensional modeling and digital twin model integration module is used to achieve virtual mapping of the fully-mechanized mining face equipment and environment through three-dimensional modeling and digital twin technology, and provide functions of real-time status monitoring, fault location, and coal cutting operation.

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