Intelligent ventilation dust control and removal system for coal mine fully-mechanized excavation face based on optimal coordination mechanism

Abstract

The invention relates to a coal mine fully-mechanized excavation face intelligent ventilation dust control and removal system based on an optimal coordination mechanism, and belongs to the technical field of coal mining. According to the system, through integrating a plurality of functional modules such as data processing, area control, optimal parameter calculation, execution control, safety guarantee and expert system evaluation, intelligent management of ventilation, dust control and dust removal is realized. The system adopts a method of combining fuzzy control and PID (Proportion Integration Differentiation) control, and automatically calculates and adjusts operation parameters of the air control device and the dust remover according to environmental parameters such as dust and gas concentration which are monitored in real time, so as to realize an optimal ventilation and dust control effect. Through training and prediction of a machine learning model, the system can autonomously learn and optimize technical parameters of a dust control and removal process, the adaptive capacity and the operation efficiency of the system are improved, the dust and gas concentration of a working face is effectively reduced, and health of workers and safe production are guaranteed. The invention aims to improve the environmental quality of the coal mine fully-mechanized excavation face and promote the intelligent development of the coal mine ventilation dust control and removal technology.

Description

Technical Field

[0001] The invention belongs to the technical field of coal mining, and relates to an intelligent ventilation control and dust removal system for a coal mine comprehensive excavation working face based on an optimal coordination mechanism. Background Art

[0002] The coal mine excavation face is an important place for coal mining. Its environmental conditions are harsh, and the dust and gas concentrations are high, which poses a great threat to the health and safety of workers. Therefore, ventilation control and dust removal technology plays a vital role in coal mine excavation work. It can effectively reduce dust and gas concentrations, improve the working environment, improve work efficiency, and protect the lives of workers.

[0003] Problems with existing ventilation control and dust removal technology:

[0004] Fixed equipment layout: Most existing ventilation control and dust removal systems use fixed equipment layout and operating parameters, and cannot be adaptively adjusted according to changes in the working surface, which to a certain extent limits the operating efficiency and safety of the system.

[0005] Too much manual intervention: The existing system often requires manual intervention when adjusting the air volume and wind speed, which not only increases the labor intensity of workers but also reduces the degree of automation of the system.

[0006] Limited monitoring scope: When monitoring dust and gas concentrations, existing systems can only monitor local areas and cannot achieve global real-time monitoring, which to some extent affects the system's early warning and emergency response capabilities.

[0007] Low degree of intelligence: Most of the existing ventilation control and dust removal systems use traditional control methods, which have a low degree of intelligence and are unable to make autonomous decisions and adjustments based on changes in the working surface and the operating status of the system.

[0008] With the development of intelligent technology, the application of intelligent control systems in the field of ventilation control and dust removal is becoming more and more extensive. Intelligent ventilation control and dust removal technology has the following development trends:

[0009] Adaptive adjustment: According to the changes in the working surface and the operating status of the system, the autonomous decision-making system can calculate the optimal control and dust removal process technical parameters, and automatically adjust the equipment operating parameters to ensure the best dust control effect.

[0010] High degree of automation: It can realize real-time monitoring and automatic adjustment of the ventilation control and dust removal system, reduce manual intervention and improve the degree of automation of the system.

[0011] Global real-time monitoring: It can monitor the whole environment in real time, including dust concentration, gas concentration, wind speed, wind direction and other parameters, to improve the system's early warning and emergency response capabilities.

[0012] Intelligent decision-making: Ability to evaluate the operating status of the ventilation control and dust removal system based on historical data and experience knowledge, and make optimization suggestions.

[0013] Autonomous learning: Able to continuously learn and optimize control algorithms based on real-time data and historical data to improve the control accuracy and efficiency of the system.

[0014] In view of the problems existing in the prior art, the present invention proposes an intelligent ventilation control and dust removal system for a coal mine comprehensive excavation working face based on an optimal coordination mechanism. The system can realize adaptive adjustment, a high degree of automation, global real-time monitoring, intelligent decision-making and autonomous learning, thereby improving the operating efficiency and safety of the ventilation control and dust removal system, improving the working environment, and ensuring the life safety of workers. Summary of the invention

[0015] In view of this, the purpose of the present invention is to provide an intelligent ventilation control and dust removal system for coal mine comprehensive excavation working face based on the optimal coordination mechanism. The problem of adaptive adjustment according to the environment of the working face and the change of equipment status, improving the operating efficiency and safety of the ventilation control and dust removal system to reduce manual intervention, improving the automation of the system and realizing global real-time monitoring, improving the early warning ability and emergency response ability of the system and other technical problems are conducive to the development and construction of intelligent mines.

[0016] In order to achieve the above object, the present invention provides the following technical solutions:

[0017] An intelligent ventilation control and dust removal system for a coal mine fully mechanized excavation working face based on an optimal coordination mechanism comprises:

[0018] Wind control subsystem: The wind control device 1.4 with automatically adjustable radial and axial air volume has a distance sensor 1.1 at its air outlet for monitoring the distance between the air control outlet and the head, and can automatically adjust the position and wind speed of the air control outlet according to the monitoring result to ensure the best wind control effect; the air inlet of the wind control device is equipped with an air supply volume monitoring device 1.5 for monitoring the fresh air volume, and adjusting the air volume of the wind control device according to the fresh air volume to ensure the air quality of the working face;

[0019] Dust removal subsystem: The dust collector 2.3 with automatically adjustable air volume and air pressure has a dust concentration sensor 3.1 at its air inlet, which is used to monitor the dust concentration at the air inlet of the dust removal equipment and adjust the air volume and air pressure of the dust collector according to the dust concentration to ensure the best dust removal effect; the dust collector is equipped with a dust concentration sensor 3.4 at the outlet of the dust removal system, which is used to monitor the dust concentration at the air outlet of the dust removal equipment and adjust the operating parameters of the dust collector according to the monitoring results, including adjusting the use status of the filter material to ensure the dust removal efficiency; a gas concentration sensor 3.2 is set in the dust extraction duct 2.2 to monitor the dust extraction pipe The gas concentration in the tunnel is monitored, and the operating parameters of the dust collector are adjusted according to the gas concentration, including the use status of the filter material, to prevent gas explosion; the air volume and pressure monitoring device 2.4 is used to monitor the dust extraction air volume and negative pressure, and the operating parameters of the dust collector are adjusted according to the monitoring results, including the use status of the filter material, to ensure the dust removal effect; the dust collector relies on the load-bearing mobile device 2.5 on the coal conveying track to achieve the purpose of synchronous movement with the mining machine, ensuring that the dust collector is always in the best working position; the frequency converter 2.6 adjusts the air volume and air pressure to achieve the best dust removal effect;

[0020] Safety assurance subsystem: This subsystem is responsible for ensuring the safe operation of the ventilation control and dust removal system, including real-time monitoring and early warning of equipment status and environmental parameters, and emergency handling as needed, including automatically starting the emergency handling procedure when the dust concentration or gas concentration exceeds the standard, including shutting down the excavator and starting the emergency ventilation system;

[0021] Intelligent control system, including perception layer, regional control layer, decision layer and execution layer:

[0022] Perception layer: collects various sensor data from the wind control subsystem, dust removal subsystem, and safety assurance subsystem, including the distance between the air control outlet and the front, the dust concentration at the inlet and outlet of the dust removal equipment, the gas concentration in the dust extraction duct, and the dust concentration in the driver's work area, and performs preliminary data processing, including filtering and noise reduction of the data;

[0023] Regional control layer: Based on the data obtained by the perception layer, the wind control subsystem and dust removal subsystem are regionally controlled and adjusted, including adjusting the air volume of the wind control device according to the dust concentration, and adjusting the air volume and air pressure of the dust collector according to the gas concentration;

[0024] Decision-making layer: Analyze the data provided by the perception layer and the regional control layer, and combine it with the preset control algorithm to calculate the best control and dust removal process technical parameters, including the best control air volume, the best dust removal air volume, the best air control device outlet position and wind speed, and the best filter material usage status;

[0025] Execution layer: According to the control instructions issued by the decision-making layer, various adjustment devices in the air control subsystem and the dust removal subsystem are coordinated and controlled, including adjusting the radial and axial air volume of the air control device, adjusting the air volume and air pressure of the dust collector, and adjusting the use status of the filter material to achieve the best dust control effect;

[0026] Communication module: wireless communication technology is used to ensure information transmission between modules through the regional controller 3.5, including the use of ZigBee or LoRa wireless communication technology to achieve data transmission between modules, and select the appropriate communication protocol according to the real-time requirements of data transmission.

[0027] Furthermore, the optimal control and dust removal process technical parameters include optimal air control volume, optimal dust removal air volume, optimal air control device outlet position and wind speed, and optimal filter material usage status.

[0028] Further, the wind control device comprises:

[0029] Wind guide blades: can automatically adjust the angle according to the radial and axial wind volume of the wind control device, thereby controlling the direction and speed of the wind flow;

[0030] Driving motor: used to drive the rotation of the air guide blades and adjust the rotation speed and direction according to the control instructions;

[0031] Control system: used to receive instructions from the intelligent control system and control the operation of the drive motor, thereby realizing automatic adjustment of the radial and axial air volume of the wind control device.

[0032] Further, the dust collector comprises:

[0033] Filter unit: used to filter the sucked dust and automatically adjust the cleanliness of the filter material according to the dust concentration, including automatically starting the cleaning program to clean the filter material when the dust concentration is high to ensure the filtering effect;

[0034] Driving unit: used to drive the operation of the filter unit and adjust the operating speed and direction according to the control instructions;

[0035] Control system: used to receive instructions from the intelligent control system and control the operation of the drive unit, thereby realizing automatic adjustment of the air volume and air pressure of the dust collector.

[0036] Furthermore, the security assurance subsystem also includes:

[0037] Emergency ventilation system: used to start quickly in the event of a safety accident, including gas explosion and fire, to provide fresh air to the working surface and ensure the safety of workers;

[0038] Safety monitoring system: used to monitor the safety status of the working surface in real time, including gas concentration, dust concentration, temperature and humidity, and issue early warning signals based on the monitoring results and initiate corresponding emergency handling procedures.

[0039] Furthermore, the intelligent control system further comprises:

[0040] Expert system: used to evaluate the operating status of the ventilation control and dust removal system based on historical data and experience knowledge, and make optimization suggestions;

[0041] Machine learning module: used to continuously learn and optimize control algorithms based on real-time data and historical data to improve the control accuracy and efficiency of the system.

[0042] Further, the communication module adopts:

[0043] Multi-channel communication technology: used to ensure the reliability and stability of communication, and to ensure the reliability of data transmission even in harsh underground environments;

[0044] Encryption technology: used to ensure the security of data transmission and prevent data from being stolen or tampered with.

[0045] The intelligent ventilation control and dust removal method for a coal mine comprehensive excavation working face includes the following steps:

[0046] Step 1: Construct an intelligent ventilation control and dust removal system for coal mine comprehensive excavation working face based on the optimal coordination mechanism;

[0047] Step 2: After the system is started, the perception layer begins to collect various sensor data from the wind control subsystem, dust removal subsystem, and safety assurance subsystem, and performs preliminary data processing;

[0048] Step 3: The regional control layer performs regional control and adjustment of the wind control subsystem and dust removal subsystem based on the data obtained by the perception layer;

[0049] Step 4: The decision-making layer analyzes the data provided by the perception layer and the regional control layer, and calculates the optimal control and dust removal process technical parameters in combination with the preset control algorithm;

[0050] Step 5: The execution layer coordinates and controls various adjustment devices in the air control subsystem and the dust removal subsystem according to the control instructions issued by the decision-making layer, including adjusting the radial and axial air volume of the air control device, adjusting the air volume and air pressure of the dust collector, and adjusting the use status of the filter material to achieve the best dust control effect;

[0051] Step 6: The safety assurance subsystem monitors the safety status of the working face in real time, issues warning signals based on the monitoring results, and initiates corresponding emergency response procedures;

[0052] Step 7: The intelligent control system evaluates the operating status of the ventilation control and dust removal system based on historical data and experience knowledge, and puts forward optimization suggestions;

[0053] Step 8: The machine learning module continuously learns and optimizes the control algorithm based on real-time data and historical data to improve the control accuracy and efficiency of the system;

[0054] Step 9: The communication module uses multi-channel communication technology and encryption technology to ensure data transmission.

[0055] Further, the steps 2 to 8 are specifically as follows:

[0056] Step 2: Data processing

[0057] Data cleaning: remove invalid data such as outliers and missing values;

[0058] Data normalization: Scale the data to the same level to facilitate subsequent processing;

[0059] Data feature extraction: Extract useful features from raw data, including:

[0060] Air control subsystem: controls the distance between the air outlet and the front and the amount of fresh air supplied to the laneway;

[0061] Dust removal subsystem: dust concentration at the inlet and outlet of the dust removal equipment, gas concentration in the dust extraction pipeline, dust extraction air volume and negative pressure;

[0062] Safety assurance subsystem: dust concentration, gas concentration, temperature and humidity in the tunnel;

[0063] Step 3: Regional Control

[0064] Fuzzy control: Establish fuzzy rules based on empirical knowledge to map sensor data to control instructions;

[0065] PID control: Calculate control instructions based on control targets and sensor data; control targets include controlling dust concentration and gas concentration; control instructions include the air volume of the air control device and the air volume of the dust collector;

[0066] PID control parameter setting: adjust PID control parameters according to system characteristics, including proportional coefficient, integral coefficient and differential coefficient, to achieve the best control effect;

[0067] Step 4: Calculate the optimal parameters

[0068] Expert system reasoning: Based on historical data and empirical knowledge, the operating status of the ventilation control and dust removal system is evaluated and optimization suggestions are made;

[0069] Machine learning model training: Use historical data to train machine learning models, including neural networks and support vector machines, to learn the best control and dust removal process technical parameters;

[0070] Machine learning model prediction: Use the trained machine learning model to predict the optimal control and dust removal process parameters, including the optimal air control volume, the optimal dust removal volume, the optimal air control device outlet position and wind speed, and the optimal filter material usage status;

[0071] Step 5: Execution Control

[0072] Execute control instructions: convert the optimal control and dust removal process technical parameters calculated by the decision-making layer into specific control instructions, including adjusting the radial and axial air volume of the air control device, adjusting the air volume and air pressure of the dust collector, and adjusting the use status of the filter material;

[0073] Actuator control: Send control instructions to the actuator, including the drive motor and inverter, to control the operation of the actuator;

[0074] Step 6: Security

[0075] Safety monitoring: real-time monitoring of the safety status of the working surface, including gas concentration, dust concentration, temperature and humidity;

[0076] Safety warning: When the safety parameters are detected to exceed the threshold, a warning signal is issued and the corresponding emergency handling procedures are initiated, including shutting down the excavator and starting the emergency ventilation system;

[0077] Step 7: Expert System Evaluation

[0078] Operation status evaluation: Based on sensor data and control parameters, evaluate the operation status of the ventilation control and dust removal system, including system efficiency and system safety;

[0079] Optimization suggestions: Based on the evaluation results, make optimization suggestions, including adjusting control parameters and replacing equipment;

[0080] Step 8: Machine Learning Optimization

[0081] Data collection: collect real-time data and historical data;

[0082] Model update: Use the collected data to update the machine learning model, including training with new data or fine-tuning model parameters.

[0083] The beneficial effects of the present invention are:

[0084] (1) Through intelligent parameter adjustment, the system significantly improves the effect of ventilation and dust control, effectively reduces the dust concentration in the working area, reduces the occurrence of occupational diseases, and ensures the health of workers.

[0085] (2) The system monitors and controls gas concentration in real time, reducing the risk of gas explosion and improving the safety of coal mine production.

[0086] (3) By optimizing the operating parameters of the air control device and dust collector, energy consumption is reduced, production costs are lowered, and green and efficient production is achieved.

[0087] (4) The system uses machine learning technology to automatically adjust the control and dust removal strategies according to different working conditions, thereby improving the flexibility and adaptability of the system.

[0088] (5) Intelligent management reduces manual intervention, simplifies the operation process, reduces the difficulty of operation, and improves work efficiency.

[0089] (6) The implementation of the present invention promotes the intelligent development of ventilation control and dust removal technology in coal mines and provides strong technical support for safe production in coal mines.

[0090] Other advantages, objectives and features of the present invention will be described in the following description to some extent, and to some extent, will be obvious to those skilled in the art based on the following examination and study, or can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be realized and obtained through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be described in detail below in conjunction with the accompanying drawings, wherein:

[0092] Figure 1 It is a schematic diagram of the structure of the present invention;

[0093] Figure 2 This is a system diagram of the present invention.

[0094] Figure markings: 1.1-distance sensor; 1.2-automatic distance adjustment device; 1.3-monorail crane moving device; 1.4-wind control device with automatic adjustment of radial and axial air volume; 1.5-air supply volume monitoring device; 1.6-air supply duct storage device; 2.1-dust hood; 2.2-dust exhaust duct; 2.3-dust collector with automatic adjustment of air volume and air pressure; 2.4-air volume and air pressure monitoring device; 2.5-carrying moving device; 2.6-frequency converter; 3.1-dust concentration sensor; 3.2-gas concentration sensor; 3.3-gas concentration sensor in dust extraction duct; 3.4-dust concentration sensor at the outlet of dust removal system; 3.5-area controller; 3.6-dust concentration sensor in tunnel. DETAILED DESCRIPTION

[0095] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments only illustrate the basic concept of the present invention in a schematic manner, and the following embodiments and features in the embodiments can be combined with each other without conflict.

[0096] Among them, the drawings are only used for illustrative explanations, and they only represent schematic diagrams rather than actual pictures, and should not be understood as limitations on the present invention. In order to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of actual products. For those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0097] The same or similar numbers in the drawings of the embodiments of the present invention correspond to the same or similar parts; in the description of the present invention, it should be understood that if the terms "upper", "lower", "left", "right", "front", "rear", etc. indicate the orientation or position relationship, they are based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation. Therefore, the terms describing the position relationship in the drawings are only used for illustrative purposes and cannot be understood as limiting the present invention. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0098] See also Figure 1 and Figure 2 The present invention provides an intelligent ventilation control and dust removal system for a coal mine comprehensive excavation working face based on an optimal coordination mechanism, and the specific implementation steps are as follows:

[0099] Step 1: Build the system. First, build an intelligent ventilation control and dust removal system, which is mainly composed of a wind control system, a dust removal system, a safety assurance subsystem, and an intelligent control system based on the best coordination mechanism. Among them, the wind control system and the dust removal system are two key subsystems, and the main components are: a wind control device 1.4 with automatically adjustable radial and axial air volume, which is responsible for controlling the airflow state of the working surface; a dust collector 2.3 with automatically adjustable air volume and air pressure, which is responsible for sucking dust from the working surface and removing dust from the dirty air. The wind control system and the dust removal system work together to ensure the safety and cleanliness of the working environment.

[0100] Step 2: Configure sensors and automatic adjustment devices. Install a distance sensor 1.1 between the air outlet of the wind control device and the front face, install an air supply volume monitoring device 1.5 at the air inlet of the wind control device, install a dust concentration sensor 3.1 on the dust hood 2.1 at the air inlet of the dust removal device, install a gas concentration sensor 3.3 in the dust extraction duct of the dust removal device, install a dust concentration sensor 3.4 at the dust removal system outlet of the dust removal device, install a dust concentration sensor 3.6 in the tunnel at the driver's position in the tunnel, and install a gas concentration sensor 3.2 in the dust extraction air cylinder 2.2, to respectively monitor in real time the distance between the air control outlet and the front face, the dust concentration at the inlet and outlet of the dust removal equipment, the gas concentration in the dust extraction duct, and the dust concentration in the driver's work area. At the same time, an automatic adjustment device is configured: the automatic adjustment device 1.2 for the distance between the air outlet of the air control device and the front face and its matching monorail crane moving device 1.3 adjust the position and wind speed of the air control outlet according to actual needs through the expansion and contraction of the air supply duct storage device 1.6 to ensure the best dust control effect. The dust collector 2.3 monitors the dust extraction air volume and negative pressure through the air volume and pressure monitoring device 2.4, and adjusts the air volume and air pressure through the frequency converter 2.6 to achieve the best dust removal effect. The dust collector relies on the load-bearing moving device 2.5 on the coal conveying track to achieve the purpose of synchronous movement with the mining machine.

[0101] Step 3: Configure the intelligent control system. The intelligent control system based on the optimal coordination mechanism is divided into four modules: perception layer, regional control layer, decision layer and execution layer. The system can calculate the optimal control and dust removal process parameters according to the changes in the working surface and the operating status of the system, and then coordinate the various adjustment devices of the execution layer to ensure that the system is in the best working state.

[0102] Step 4: Modular design. Using modular design ideas, the entire system is decomposed into multiple functional modules. Each module can work independently or in collaboration with other modules. This can facilitate the installation, maintenance and upgrade of the system, and also improve the flexibility and adaptability of the system.

[0103] Step 5: Configure communication equipment. Use efficient wireless communication technology to ensure the rapid and accurate information transmission between modules through the regional controller 3.5, thereby improving the system's response speed and control accuracy. Wireless communication can not only realize information interaction between modules, but also avoid the wiring difficulties and safety hazards caused by wired connections. The above are the specific implementation steps of this embodiment. Through this method, intelligent ventilation control and dust removal of the coal mine comprehensive excavation working face can be realized, improving the safety and cleanliness of the working environment.

[0104] Example 1

[0105] In this embodiment, the intelligent ventilation control and dust removal system of the coal mine comprehensive excavation working face includes the following components: an air control device with automatically adjustable radial and axial air volume, whose air outlet is equipped with a distance sensor for monitoring the distance between the air control outlet and the head; a dust collector with automatically adjustable air volume and air pressure, whose air inlet is connected to the air outlet of the air control device; a group of sensors for collecting environmental parameters of the working face, such as dust concentration, gas concentration, etc.; and an intelligent control system for processing sensor data and controlling the operation of the air control device and the dust collector.

[0106] The specific steps are as follows:

[0107] After the system is started, the distance sensor monitors the distance between the air control outlet and the head in real time and transmits the data to the intelligent control system.

[0108] The intelligent control system automatically adjusts the air outlet position and wind speed of the wind control device based on sensor data through a predetermined algorithm to maintain optimal wind flow control.

[0109] The air volume and air pressure of the dust collector are automatically adjusted according to the output air volume of the air control device to ensure effective dust removal effect.

[0110] When the sensor detects that the gas concentration exceeds the standard, the intelligent control system immediately activates the emergency procedure, adjusts the wind control device to enhance ventilation, and issues a warning signal.

[0111] Example 2

[0112] In this embodiment, the intelligent ventilation control and dust removal system is applied to a specific working surface, which is 200 meters long, 5 meters wide and 3 meters high. The system components are the same as those in Embodiment 1.

[0113] The specific steps are as follows:

[0114] When the system is initialized, the intelligent control system presets the operating parameters of the air control device and dust collector according to the size and shape of the working surface.

[0115] When the system is running, the sensor monitors the dust concentration on the working surface in real time, which is 200mg / m 3 , gas concentration is 0.5%.

[0116] Based on the monitoring data, the intelligent control system uses a machine learning model to predict and adjust the wind control device, controlling the wind speed at 4m / s and adjusting the outlet angle to 30 degrees to optimize the wind flow distribution.

[0117] The dust collector automatically adjusts to 70% of the maximum air volume according to the output air volume of the air control device to achieve the best dust removal effect.

[0118] The intelligent control system regularly evaluates the system operating status and makes optimization suggestions based on the evaluation results, such as adjusting the response time of the air control device to further improve dust control efficiency.

[0119] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution, which should be included in the scope of the claims of the present invention.

Claims

1. An intelligent ventilation control and dust removal system for coal mine comprehensive excavation working face based on the optimal coordination mechanism, Features: include: Wind control subsystem: A wind control device (1.4) with automatically adjustable radial and axial air volume, whose air outlet is equipped with a distance sensor (1.1) for monitoring the distance between the air control outlet and the head, and can automatically adjust the position and wind speed of the air control outlet according to the monitoring result to ensure the best wind control effect; the air inlet of the wind control device is equipped with an air supply volume monitoring device (1.5) for monitoring the fresh air volume, and adjusting the air volume of the wind control device according to the fresh air volume to ensure the air quality of the working face; Dust removal subsystem: A dust collector (2.3) with automatically adjustable air volume and air pressure, whose air inlet is equipped with a dust concentration sensor (3.1) for monitoring the dust concentration at the air inlet of the dust removal equipment, and adjusting the air volume and air pressure of the dust collector according to the dust concentration to ensure the best dust removal effect; the dust collector is equipped with a dust concentration sensor (3.4) at the outlet of the dust removal system for monitoring the dust concentration at the air outlet of the dust removal equipment, and adjusting the operating parameters of the dust collector according to the monitoring results, including adjusting the use status of the filter material, to ensure the dust removal efficiency; a gas concentration sensor (3.2) is set in the dust extraction duct (2.2) for monitoring the dust concentration at the air outlet of the dust removal equipment, and adjusting the operating parameters of the dust collector according to the monitoring results, including adjusting the use status of the filter material, to ensure the dust removal efficiency; a gas concentration sensor (3.2) is set in the dust extraction duct (2.2) for monitoring the dust concentration at the air outlet of the dust removal equipment, and adjusting the dust concentration at the air outlet of the dust removal equipment, and adjusting the operating parameters of the dust collection according to the monitoring results, and adjusting the use status of the filter material, to ensure the dust removal efficiency; a gas concentration sensor (3.2) is set in the dust extraction duct (2.2) for monitoring the dust concentration at the air outlet of the dust removal equipment, and adjusting ... The gas concentration in the dust duct is monitored, and the operating parameters of the dust collector are adjusted according to the gas concentration, including adjusting the use status of the filter material to prevent gas explosion; the air volume and pressure monitoring device (2.4) is used to monitor the dust extraction air volume and negative pressure, and adjust the operating parameters of the dust collector according to the monitoring results, including adjusting the use status of the filter material to ensure the dust removal effect; the dust collector relies on the load-bearing moving device (2.5) on the coal conveying track to achieve the purpose of synchronous movement with the mining machine, ensuring that the dust collector is always in the best working position; the frequency converter (2.6) adjusts the air volume and air pressure to achieve the best dust removal effect; Safety assurance subsystem: This subsystem is responsible for ensuring the safe operation of the ventilation control and dust removal system, including real-time monitoring and early warning of equipment status and environmental parameters, and emergency handling as needed, including automatically starting the emergency handling procedure when the dust concentration or gas concentration exceeds the standard, including shutting down the excavator and starting the emergency ventilation system; Intelligent control system, including perception layer, regional control layer, decision layer and execution layer: Perception layer: collects various sensor data from the wind control subsystem, dust removal subsystem, and safety assurance subsystem, including the distance between the air control outlet and the front, the dust concentration at the inlet and outlet of the dust removal equipment, the gas concentration in the dust extraction duct, and the dust concentration in the driver's work area, and performs preliminary data processing, including filtering and noise reduction of the data; Regional control layer: Based on the data obtained by the perception layer, the wind control subsystem and dust removal subsystem are regionally controlled and adjusted, including adjusting the air volume of the wind control device according to the dust concentration, and adjusting the air volume and air pressure of the dust collector according to the gas concentration; Decision-making layer: Analyze the data provided by the perception layer and the regional control layer, and combine it with the preset control algorithm to calculate the best control and dust removal process technical parameters, including the best control air volume, the best dust removal air volume, the best air control device outlet position and wind speed, and the best filter material usage status; Execution layer: According to the control instructions issued by the decision-making layer, various adjustment devices in the air control subsystem and the dust removal subsystem are coordinated and controlled, including adjusting the radial and axial air volume of the air control device, adjusting the air volume and air pressure of the dust collector, and adjusting the use status of the filter material to achieve the best dust control effect; Communication module: wireless communication technology is used to ensure information transmission between modules through the regional controller (3.5), including using ZigBee or LoRa wireless communication technology to achieve data transmission between modules, and selecting a suitable communication protocol according to the real-time requirements of data transmission.

2. According to claim 1, an intelligent ventilation control and dust removal system for coal mine comprehensive excavation working face based on the optimal coordination mechanism, Features: The optimal control and dust removal process technical parameters include the optimal air control volume, the optimal dust removal air volume, the optimal air outlet position and wind speed of the air control device, and the optimal use status of the filter material.

3. According to claim 1, an intelligent ventilation control and dust removal system for coal mine comprehensive excavation working face based on the optimal coordination mechanism, Features: The wind control device comprises: Wind guide blades: can automatically adjust the angle according to the radial and axial wind volume of the wind control device, thereby controlling the direction and speed of the wind flow; Driving motor: used to drive the rotation of the air guide blades and adjust the rotation speed and direction according to the control instructions; Control system: used to receive instructions from the intelligent control system and control the operation of the drive motor, thereby realizing automatic adjustment of the radial and axial air volume of the wind control device.

4. According to claim 1, an intelligent ventilation control and dust removal system for coal mine comprehensive excavation working face based on the optimal coordination mechanism, Features: The dust collector comprises: Filter unit: used to filter the sucked dust and automatically adjust the cleanliness of the filter material according to the dust concentration, including automatically starting the cleaning program to clean the filter material when the dust concentration is high to ensure the filtering effect; Driving unit: used to drive the operation of the filter unit and adjust the operating speed and direction according to the control instructions; Control system: used to receive instructions from the intelligent control system and control the operation of the drive unit, thereby realizing automatic adjustment of the air volume and air pressure of the dust collector.

5. According to claim 1, an intelligent ventilation control and dust removal system for coal mine comprehensive excavation working face based on the optimal coordination mechanism, Features: The safety assurance subsystem also includes: Emergency ventilation system: used to start quickly in the event of a safety accident, including gas explosion and fire, to provide fresh air to the working surface and ensure the safety of workers; Safety monitoring system: used to monitor the safety status of the working surface in real time, including gas concentration, dust concentration, temperature and humidity, and issue early warning signals based on the monitoring results and initiate corresponding emergency handling procedures.

6. According to claim 1, an intelligent ventilation control and dust removal system for coal mine comprehensive excavation working face based on the optimal coordination mechanism, Features: The intelligent control system also includes: Expert system: used to evaluate the operating status of the ventilation control and dust removal system based on historical data and experience knowledge, and make optimization suggestions; Machine learning module: used to continuously learn and optimize control algorithms based on real-time data and historical data to improve the control accuracy and efficiency of the system.

7. According to claim 1, an intelligent ventilation control and dust removal system for coal mine comprehensive excavation working face based on the optimal coordination mechanism, Features: The communication module adopts: Multi-channel communication technology: used to ensure the reliability and stability of communication, and to ensure the reliability of data transmission even in harsh underground environments; Encryption technology: used to ensure the security of data transmission and prevent data from being stolen or tampered with.

8. Based on the intelligent ventilation control and dust removal method for coal mine comprehensive excavation working face according to claim 1, Features: The following steps are involved: Step 1: Construct an intelligent ventilation control and dust removal system for coal mine comprehensive excavation working face based on the optimal coordination mechanism; Step 2: After the system is started, the perception layer begins to collect various sensor data from the wind control subsystem, dust removal subsystem, and safety assurance subsystem, and performs preliminary data processing; Step 3: The regional control layer performs regional control and adjustment of the wind control subsystem and dust removal subsystem based on the data obtained by the perception layer; Step 4: The decision-making layer analyzes the data provided by the perception layer and the regional control layer, and calculates the optimal control and dust removal process technical parameters in combination with the preset control algorithm; Step 5: The execution layer coordinates and controls various adjustment devices in the air control subsystem and the dust removal subsystem according to the control instructions issued by the decision-making layer, including adjusting the radial and axial air volume of the air control device, adjusting the air volume and air pressure of the dust collector, and adjusting the use status of the filter material to achieve the best dust control effect; Step 6: The safety assurance subsystem monitors the safety status of the working face in real time, issues warning signals based on the monitoring results, and initiates corresponding emergency response procedures; Step 7: The intelligent control system evaluates the operating status of the ventilation control and dust removal system based on historical data and experience knowledge, and puts forward optimization suggestions; Step 8: The machine learning module continuously learns and optimizes the control algorithm based on real-time data and historical data to improve the control accuracy and efficiency of the system; Step 9: The communication module uses multi-channel communication technology and encryption technology to ensure data transmission.

9. The intelligent ventilation control and dust removal method for a coal mine comprehensive excavation working face according to claim 8, Features: The steps 2 to 8 are specifically as follows: Step 2: Data processing Data cleaning: remove invalid data such as outliers and missing values; Data normalization: Scale the data to the same level to facilitate subsequent processing; Data feature extraction: Extract useful features from raw data, including: Air control subsystem: controls the distance between the air outlet and the front and the amount of fresh air supplied to the laneway; Dust removal subsystem: dust concentration at the inlet and outlet of the dust removal equipment, gas concentration in the dust extraction pipeline, dust extraction air volume and negative pressure; Safety assurance subsystem: dust concentration, gas concentration, temperature and humidity in the tunnel; Step 3: Regional Control Fuzzy control: Establish fuzzy rules based on empirical knowledge to map sensor data to control instructions; PID control: Calculate control instructions based on control targets and sensor data; control targets include controlling dust concentration and gas concentration; control instructions include the air volume of the air control device and the air volume of the dust collector; PID control parameter setting: adjust PID control parameters according to system characteristics, including proportional coefficient, integral coefficient and differential coefficient, to achieve the best control effect; Step 4: Calculation of optimal parameters Expert system reasoning: Based on historical data and empirical knowledge, the operating status of the ventilation control and dust removal system is evaluated and optimization suggestions are made; Machine learning model training: Use historical data to train machine learning models, including neural networks and support vector machines, to learn the best control and dust removal process technical parameters; Machine learning model prediction: Use the trained machine learning model to predict the best control and dust removal process parameters, including the best air control volume, the best dust removal volume, the best air control device outlet position and wind speed, and the best filter material usage status; Step 5: Execution Control Execute control instructions: convert the optimal control and dust removal process technical parameters calculated by the decision-making layer into specific control instructions, including adjusting the radial and axial air volume of the air control device, adjusting the air volume and air pressure of the dust collector, and adjusting the use status of the filter material; Actuator control: Send control instructions to the actuator, including the drive motor and inverter, to control the operation of the actuator; Step 6: Security Safety monitoring: real-time monitoring of the safety status of the working surface, including gas concentration, dust concentration, temperature and humidity; Safety warning: When the safety parameters are detected to exceed the threshold, a warning signal is issued and the corresponding emergency handling procedures are initiated, including shutting down the excavator and starting the emergency ventilation system; Step 7: Expert System Evaluation Operation status evaluation: Based on sensor data and control parameters, evaluate the operation status of the ventilation control and dust removal system, including system efficiency and system safety; Optimization suggestions: Based on the evaluation results, make optimization suggestions, including adjusting control parameters and replacing equipment; Step 8: Machine Learning Optimization Data collection: collect real-time data and historical data; Model update: Use the collected data to update the machine learning model, including training with new data or fine-tuning model parameters.

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