Ventilation control system and control method of ventilation control system

Abstract

The invention provides a ventilation control system and a control method of the ventilation control system. The system comprises a pressure detection unit used for detecting the pressure in a coal mine; the concentration detection unit is used for detecting the oxygen concentration of an air return corner of the coal mine; the ventilation unit is used for blowing air to the working face of the coal mine; the controller is in communication connection with the pressure detection unit, the concentration detection unit and the ventilation unit, and the controller is used for controlling the ventilation unit to operate according to the pressure and the oxygen concentration. According to the scheme, the problem that in the prior art, ventilation control efficiency in a coal mine is low is solved.

Description

Technical Field

[0001] The present application relates to the technical field of mine mining ventilation, and in particular to a ventilation prevention and control system, a control method for a ventilation prevention and control system, a control device for a ventilation prevention and control system, and a computer program product. Background Art

[0002] Due to the shallow depth of shallow buried coal seams, cracks in the overburden of the goaf can develop to the surface after mining, forming a through-leakage channel between the surface and the goaf. The environment of the goaf is seriously affected by surface leakage. At the same time, the coal rock layer is in the CO2-N2 zone, and a large amount of low-oxygen gas is precipitated from the broken coal rock mass, resulting in a high-nitrogen and low-oxygen environment in the goaf. Since the interlayer bedrock of the close-range coal seam group is thin, after the mining of the lower coal seam, the upper and lower goafs are easily connected to form a composite super-large goaf. The mining of shallow buried and close-range coal seams combines the characteristics of the goaf after mining under the above two conditions, with the characteristics of complex goaf leakage and large amount and high concentration of low-oxygen gas in the goaf. During mining, the low-oxygen gas in the goaf is very easy to invade the working face, causing the occurrence of low-oxygen disasters on the working face.

[0003] Shallow buried coal seams with short distances are mostly located in the northwest of my country. The climate and environment in this region change dramatically, especially during the season change period. The daily maximum and minimum temperature difference and atmospheric pressure difference are large, resulting in excessive pressure difference between the goaf and the working face, and strong gas outflow. At the same time, the current ventilation method in mines generally adopts the extraction type, which will aggravate the intrusion of external wind flow, and cannot achieve accurate ventilation control, resulting in low efficiency of ventilation prevention and control. Summary of the invention

[0004] The main purpose of the present application is to provide a ventilation control system, a control method for a ventilation control system, a control device for a ventilation control system and a computer program product, so as to at least solve the problem of low efficiency of ventilation control in coal mines in the prior art.

[0005] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a ventilation prevention and control system is provided, including: a pressure detection unit, used to detect the pressure in a coal mine; a concentration detection unit, used to detect the oxygen concentration in the return air corner of the coal mine; a ventilation unit, used to blow air to the working face of the coal mine; a controller, which is respectively communicated with the pressure detection unit, the concentration detection unit and the ventilation unit, and the controller is used to control the operation of the ventilation unit according to the pressure and the oxygen concentration.

[0006] Optionally, the pressure detection unit includes: a first pressure detection module, located at the closed wall of the working surface, the first pressure detection module is used to detect the first pressure of the working surface; a second pressure detection module, located at the return air corner of the working surface, the second pressure detection module is used to detect the second pressure of the return air corner.

[0007] Optionally, the ventilation unit includes: a first ventilation module located in the ventilation tunnel, the first ventilation module being used to blow air toward the working surface; and a second ventilation module located in the ventilation tunnel, the second ventilation module being used to control the wind flow blown by the first ventilation module.

[0008] Optionally, the ventilation prevention and control system also includes: a first air volume detection unit, located in the air inlet duct, and the first air volume detection unit is used to detect the air volume of the air inlet duct; a second air volume detection unit, located in the return air duct, and the second air volume detection unit is used to detect the air volume of the return air duct.

[0009] According to another aspect of the present application, a control method for any one of the ventilation and prevention systems is provided, the method comprising: obtaining the pressure in a coal mine; obtaining the oxygen concentration in the return air corner of the coal mine; and controlling the operation of the ventilation unit according to the pressure and the oxygen concentration to blow air toward the working face of the coal mine.

[0010] Optionally, before obtaining the oxygen concentration in the return air corner of the coal mine, the method also includes: obtaining concentration-related data, wherein the concentration-related data includes at least one or more of temperature difference, pressure difference, and working cycle; constructing a concentration detection model, wherein the concentration detection model is trained using a plurality of sets of training data through a GA algorithm and an RF algorithm, and each set of the plurality of training data includes historical concentration-related data obtained within a historical time period and historical oxygen concentrations corresponding to the historical concentration-related data; inputting the concentration-related data into the concentration detection model to obtain the oxygen concentration corresponding to the concentration-related data.

[0011] Optionally, the pressure detection unit includes a first pressure detection module and a second pressure detection module, the first pressure detection module is located at the closed wall of the working surface, the first pressure detection module is used to detect the first pressure of the working surface, the second pressure detection module is located at the return air corner of the working surface, the second pressure detection module is used to detect the second pressure of the return air corner, and the operation of the ventilation unit is controlled according to the pressure and the oxygen concentration, including: calculating the difference between the first pressure and the second pressure to obtain the pressure difference; controlling the operation of the ventilation unit according to the pressure difference and the oxygen concentration.

[0012] Optionally, the operation of the ventilation unit is controlled according to the pressure difference and the oxygen concentration, including: when the oxygen concentration is less than a first concentration threshold and / or the pressure difference is greater than a first pressure difference threshold, increasing the operating frequency of the ventilation unit; when the oxygen concentration is greater than a second concentration threshold and / or the pressure difference is less than a second pressure difference threshold, reducing the operating frequency of the ventilation unit, wherein the first concentration threshold is less than the second concentration threshold, and the first pressure difference threshold is greater than the second pressure difference threshold.

[0013] According to another aspect of the present application, there is provided a control device for any one of the ventilation prevention and control systems, the device comprising: a first acquisition unit for acquiring the pressure in a coal mine; a second acquisition unit for acquiring the oxygen concentration in the return air corner of the coal mine; and a control unit for controlling the operation of the ventilation unit according to the pressure and the oxygen concentration so as to blow air toward the working face of the coal mine.

[0014] According to another aspect of the present application, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the steps of any one of the methods are implemented.

[0015] By applying the technical solution of the present application, changes in pressure and oxygen concentration in coal mines can be detected in real time. Abnormal pressure will lead to air stagnation, and too low oxygen concentration will cause physical discomfort to miners. Therefore, compared with the method of keeping the ventilator on for ventilation in the prior art, the present solution can adjust the operation of the ventilation unit in real time according to the pressure and oxygen concentration, so that the control of the ventilator is more in line with the real-time environmental requirements of the coal mine, thereby improving the efficiency of ventilation and prevention in the coal mine. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings constituting part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0017] Figure 1 A schematic diagram of working face ventilation under a "U" type ventilation mode is shown;

[0018] Figure 2 A schematic diagram of the monitoring arrangement of key parameters of hypoxia in the stope is shown;

[0019] Figure 3 The schematic diagram of the layout of the pressure-equalizing ventilation prevention and control system for the working face is shown;

[0020] Figure 4 A hardware structure block diagram of a mobile terminal for executing a control method for a ventilation prevention and treatment system provided in an embodiment of the present application is shown;

[0021] Figure 5 A schematic flow chart of a control method for a ventilation prevention and treatment system provided according to an embodiment of the present application is shown;

[0022] Figure 6 It shows the schematic diagram of the importance analysis of key influencing parameter input indicators above and below the low oxygen wells on the working face;

[0023] Figure 7 The schematic diagram of the return air corner oxygen concentration prediction model process based on GA-RF is shown;

[0024] Figure 8 A first schematic diagram of the pressure ramp curve is shown;

[0025] Fig. 9 A second schematic diagram showing the pressure ramp curve;

[0026] Fig.10 A schematic diagram of the ventilation prevention process is shown;

[0027] Fig.11 A structural block diagram of a control device for a ventilation prevention and treatment system provided according to an embodiment of the present application is shown.

[0028] The above drawings include the following reference numerals:

[0029] 102. Processor; 104. Memory; 106. Transmission equipment; 108. Input / output equipment; 10. Air inlet lane; 11. Air inlet corner; 12. Goaf; 13. Working face; 14. Return air corner; 15. Return air lane; 16. Connecting lane; 17. Enclosed wall; 18. Air flow in goaf; 19. First pressure detection device; 20. Second pressure detection device; 21. Third pressure detection device; 22. Fourth pressure detection device; 23. First ventilation module; 24. Second ventilation module; 25. First air volume detection unit; 26. Second air volume detection unit; 27. Inlet air flow; 28. Return air flow. DETAILED DESCRIPTION

[0030] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0031] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0032] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0033] At present, most mines use the method of equalized pressure ventilation on the working face to increase the side air pressure of the working face, eliminate or reduce the pressure difference between the working face and the goaf, and achieve the purpose of suppressing the outflow of low-oxygen airflow in the goaf. However, the conventional equalized pressure ventilation method is a passive hypoxia prevention and control method, which reacts when the hypoxia phenomenon in the return air corner appears or has occurred. The threat of hypoxia on the working face is relatively large. The existing prevention and control methods for the hypoxia phenomenon in the shallow buried deep and close-range coal seam group mining in Northwest my country, which is greatly affected by surface climate change, are not timely and the prevention and control effect is poor. In summary, there is an urgent need for an intelligent equalized pressure control system and method for the mining of shallow buried deep and close-range coal seams in Northwest China, which can not only realize the pre-emptive hypoxia prevention and control with the regular changes in the mine environment (such as normal changes in the surface climate), but also have the timely hypoxia control after the sudden change of the mine environment (such as sudden change of the surface climate, large-scale roof collapse in the goaf).

[0034] As introduced in the background technology, the efficiency of ventilation control in coal mines in the prior art is low. To solve the above problems, the embodiments of the present application provide a ventilation control system, a control method for a ventilation control system, a control device for a ventilation control system and a computer program product.

[0035] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0036] The present application provides a ventilation prevention and control system, comprising:

[0037] Pressure detection unit, used to detect pressure in coal mines;

[0038] A concentration detection unit, used to detect the oxygen concentration in the return air corner of the above-mentioned coal mine;

[0039] A ventilation unit for blowing air to the working face of the above-mentioned coal mine;

[0040] The controller is respectively connected to the pressure detection unit, the concentration detection unit and the ventilation unit for communication, and the controller is used for controlling the operation of the ventilation unit according to the pressure and the oxygen concentration.

[0041] In the above system, changes in pressure and oxygen concentration in the coal mine can be detected in real time. Abnormal pressure will cause air stagnation, and too low oxygen concentration will cause physical discomfort to miners. Therefore, compared with the method of keeping the ventilator on for ventilation in the prior art, this solution can adjust the operation of the ventilation unit in real time according to the pressure and oxygen concentration, so that the control of the ventilator is more in line with the real-time environmental requirements of the coal mine, thereby improving the efficiency of ventilation and prevention in the coal mine.

[0042] Specifically, the return air corner is the lowest pressure point of the working face. Low-oxygen gas in the goaf always gushes out from the return air corner and diffuses into the mining space. The direct condition for the gas gushing out in the goaf is a large pressure difference between the working face and the goaf, and the gushing amount is closely related to the duration of the pressure difference. The occurrence and duration of the large pressure difference between the working face and the goaf are affected by many factors, such as sudden changes in the surface climate and large-scale collapse of the goaf roof.

[0043] Specifically, in order to better monitor the oxygen concentration of the working surface, a first oxygen concentration detection device is always set at the return air corner, and a gas concentration detector can be used to detect the oxygen concentration. The gas concentration detector is placed in the return air corner to monitor the oxygen concentration at the return air corner.

[0044] Specifically, Figure 1 As shown, the fresh air flow in the main tunnel flows through the air inlet tunnel 10 to the air inlet corner 11, part of which flows into the goaf 12, and the other part flows through the working face 13 to the return air corner 14, merges with the air leakage flow in the goaf and flows out from the return air tunnel 15. Figure 1 It also includes connecting tunnels 16 and closed walls 17, and the black line segment represents the wind flow 18 in the goaf.

[0045] During the specific implementation process, the pressure detection unit includes a first pressure detection module and a second pressure detection module. The first pressure detection module is located at the position of the closed wall of the above-mentioned working surface, and the above-mentioned first pressure detection module is used to detect the first pressure of the above-mentioned working surface; the second pressure detection module is located at the position of the above-mentioned return air corner of the above-mentioned working surface, and the above-mentioned second pressure detection module is used to detect the second pressure of the return air corner.

[0046] In this solution, the first and second pressure detection modules are installed on the closed wall of the working surface and the return air corner respectively to monitor the pressure of the working surface. Through this setting, the pressure changes of the working surface and the return air corner can be monitored in real time, and abnormal pressure can be discovered in time.

[0047] Specifically, Figure 2As shown, the first pressure detection module includes a first pressure detection device 19, a second pressure detection device 20 and a third pressure detection device 21, which are respectively located at three consecutive closed walls of the connecting lanes behind the working surface. The second pressure detection module includes a fourth pressure detection device 22, which is set at the return air corner of the working surface.

[0048] Specifically, the gas pressure can be detected by using a gas differential pressure meter or a pressure sensor. The gas differential pressure meters in the comprehensive monitoring system are respectively set at the return air corner of the working face and behind it to monitor the pressure difference between the working face and the goaf; the gas differential pressure meters are respectively set at three consecutive joint lanes behind the working face to sense the dynamic changes of gas pressure in the goaf.

[0049] In the specific implementation process, Figure 3 As shown, the ventilation unit includes a first ventilation module 23 and a second ventilation module 24. The first ventilation module is located in the ventilation alley, and the first ventilation module is used to blow air toward the working surface; the second ventilation module is located in the ventilation alley, and the second ventilation module is used to control the wind flow blown by the first ventilation module.

[0050] In this solution, the first ventilation module is located in the ventilation lane and is used to blow air to the working surface to keep the air on the working surface fresh and well ventilated. The second ventilation module is located in the ventilation lane and is used to control the wind flow blown by the first ventilation module to ensure that the direction and intensity of the blowing meet the needs of the working surface.

[0051] Specifically, the first ventilation module includes an automatically adjustable fan and an automatically adjustable wind window, and the second ventilation module includes a damper and a wind window.

[0052] The main air route consists of air inlet tunnel, return air tunnel and working face. The automatic regulating fan is a variable frequency fan, and its normal air volume is the air volume required for production at the working face; the damper and wind window prohibit the air flow from passing through; the automatic regulating wind window can adjust the opening. Regulate the side wind pressure of the working face, stabilize the pressure difference between the working face and the goaf, and reduce the "breathing" behavior of the goaf area.

[0053] During the specific implementation process, the above-mentioned ventilation prevention and control system also includes a first air volume detection unit 25 and a second air volume detection unit 26. The first air volume detection unit is located in the air inlet duct, and the above-mentioned first air volume detection unit is used to detect the air volume of the above-mentioned air inlet duct; the second air volume detection unit is located in the return air duct, and the above-mentioned second air volume detection unit is used to detect the air volume of the above-mentioned return air duct.

[0054] In this solution, the first air volume detection unit is located in the air intake tunnel, which is the channel in the ventilation system that delivers fresh air or treated air to mines, tunnels or other places that need ventilation. The second air volume detection unit is located in the return air tunnel, which is the channel that discharges the dirty air and harmful gases generated in the working area to the external environment. By monitoring the air volume of the intake and return air, blockages and air leakage problems in the ventilation system can be discovered in time, so that more effective ventilation prevention and control optimization measures can be taken.

[0055] Specifically, the first air volume detection unit includes a first wind speed detection device, and the second air volume detection unit includes a second risk detection device. A wind speed sensor can be used to detect the air volume. The wind speed sensor is placed in the automatic fan lane to monitor the actual ventilation volume of the automatic fan. The wind speed sensor is also placed in the return air lane to monitor the total return air volume. Specifically, Figure 1 , Figure 2 and Figure 3 As shown, the airflow includes an inlet airflow 27 and a return airflow 28, that is, the one-way arrow represents the inlet airflow, and the arrow with a coil similar to a winding represents the return airflow.

[0056] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 4 1 is a hardware structure block diagram of a mobile terminal of a ventilation prevention and control system control method according to an embodiment of the present invention. Figure 4 As shown, the mobile terminal may include one or more ( Figure 4 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 4 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 4 More or fewer components as shown, or with Figure 4 Different configurations shown.

[0057] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the display method of device information in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, the above method is implemented. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The transmission device 106 is used to receive or send data via a network. The above-mentioned specific examples of the network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0058] In this embodiment, a control method for a ventilation prevention and control system running on a mobile terminal, a computer terminal or a similar computing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0059] Figure 5 FIG. 1 is a flow chart of a control method of a ventilation prevention and control system according to an embodiment of the present application. Figure 5 As shown, the method comprises the following steps:

[0060] Step S201, obtaining the pressure in the coal mine;

[0061] Specifically, the pressure of the working face and the pressure of the goaf in the coal mine can be obtained.

[0062] Step S202, obtaining the oxygen concentration of the return air corner of the coal mine;

[0063] Specifically, the oxygen concentration in the return air corner of the coal mine can be detected by an oxygen concentration sensor.

[0064] Step S203, controlling the operation of the ventilation unit according to the pressure and the oxygen concentration to blow air toward the working face of the coal mine.

[0065] Specifically, appropriate ventilation can be provided to the work surface by adjusting the operation of the ventilation unit according to the detected pressure and oxygen concentration.

[0066] Through this embodiment, changes in pressure and oxygen concentration in the coal mine can be detected in real time. Abnormal pressure will cause air stagnation, and too low oxygen concentration will cause physical discomfort to miners. Therefore, compared with the method of keeping the ventilator on for ventilation in the prior art, this solution can adjust the operation of the ventilation unit in real time according to the pressure and oxygen concentration, so that the control of the ventilator is more in line with the real-time environmental requirements of the coal mine, thereby improving the efficiency of ventilation and prevention in the coal mine.

[0067] Specifically, the execution subject of the control method of the ventilation prevention and control system may be a controller, or any other feasible server or processor, etc.

[0068] Specifically, this solution establishes a comprehensive and long-term prediction data set of key gas parameters of low oxygen in the mine and above the working face - return air corner oxygen concentration. Combined with real-time monitoring of key low oxygen gases in the mine and above the working face, this solution constructs a ventilation prevention and control system by establishing a logical relationship between the oxygen concentration in the return air corner and the adjustment parameters of the equalizing pressure ventilation structure. On the basis of ensuring the required air volume of the working face, this solution can not only achieve pre-prevention of low oxygen on the working face, but also respond quickly in the early stage of low oxygen phenomenon, increase the working face pressure, and suppress the outburst of low oxygen gas.

[0069] During the specific implementation process, before obtaining the oxygen concentration in the return air corner of the above-mentioned coal mine, the above-mentioned method also includes the following steps: obtaining concentration-related data, wherein the above-mentioned concentration-related data at least includes one or more of temperature difference, pressure difference, and working cycle; constructing a concentration detection model, wherein the above-mentioned concentration detection model is obtained by training with a GA algorithm and an RF algorithm using multiple sets of training data, and each set of training data in the above-mentioned multiple sets of training data includes historical concentration-related data obtained in a historical time period and historical oxygen concentrations corresponding to the above-mentioned historical concentration-related data; inputting the above-mentioned concentration-related data into the above-mentioned concentration detection model to obtain the above-mentioned oxygen concentration corresponding to the above-mentioned concentration-related data.

[0070] In this solution, data related to oxygen concentration detection can be collected. For example, temperature difference and pressure difference can reflect the state of air flow, while the working cycle can reflect the activities of miners and the operating time of equipment. It can be trained through GA algorithm (genetic algorithm) and RF algorithm (random forest algorithm). The GA algorithm can be used to optimize the parameters and structure of the model, which can improve the accuracy and generalization ability of the model. The RF algorithm has strong classification and regression capabilities, can handle complex nonlinear relationships, and reduce fitting situations. By combining the advantages of GA algorithm and RF algorithm, the complex relationships in the data can be accurately captured, thereby improving the accuracy of oxygen concentration prediction.

[0071] Specifically, the above scheme can be summarized into four steps, namely: Step 1, establish a return air corner oxygen concentration data prediction system (that is, establish a linkage data prediction system for key parameters of low oxygen in the well); Step 2, establish a working face low oxygen key parameter monitoring, collection and reporting system (that is, establish a dynamic change monitoring system for key parameters of low oxygen in the goaf of the working face); Step 3, establish an automatic control system for equalized pressure ventilation structures; Step 4, build a working face low oxygen intelligent equalized pressure ventilation prevention and control platform, which is used to remotely summarize and process the prediction values ​​of the linkage data of key parameters of low oxygen in the well and the real-time monitoring data sent by the monitoring, collection and reporting system for key parameters of low oxygen in the working face, and send control instructions to the automatic control system of the equalized pressure ventilation structure.

[0072] Specifically, the above step 1 is introduced: the data acquisition system is arranged to collect long-term measured data of key hypoxia parameters above and below the well, and the input indicators of the prediction model are determined; the RF initial framework is built; GA is used to optimize the model hyperparameters; the model is trained with the training set, and a return air corner oxygen concentration prediction model based on GA-RF is established; the GA-RF model is tested with the test set, and the accuracy of the GA-RF model is verified based on the model evaluation indicators.

[0073] Specifically, the RF prediction formula is as follows:

[0074]

[0075] where β c(t) is the OOB sample of the corresponding decision tree, t represents the number of trees, T represents the total number of trees, Respectively represent the predicted value of each sample in the tree before and after changing the variable, FI (t) (f) represents, xi represents the sample value l j is the true label, l j Represents the sample value, I represents the value based on l j The importance function of the value.

[0076] Specifically, the GA search formula is as follows:

[0077]

[0078] p(a i ) represents the probability of selection, g(a i ) represents individual a i The fitness of i Indicates an individual.

[0079] Specifically, the dataset is divided into training set and test set in a ratio of 8:2, and the GA optimization parameters are Ntrees and Nleaves.

[0080] Specifically, the concentration-related data can be the data of the return air corner oxygen concentration prediction index, mainly including time, hourly surface temperature difference, hourly surface pressure difference, daily surface temperature difference, daily surface pressure difference, and periodic pressure step. The above parameters are long-term actual measurement values ​​with hours as the basic unit.

[0081] In the specific implementation plan, the regularity of the oxygen concentration in the return air corner was analyzed, and the input indicators of the return air corner oxygen concentration prediction model were determined to be time, hourly temperature difference, hourly pressure difference, daily temperature difference, daily pressure difference, and working face cycle pressure step, and the output indicator was the return air corner oxygen concentration. The model indicator samples were collected through the actual measurement of the upper and lower linkage of the mine, and 929 groups of model indicator data were statistically obtained. The data set was divided into a training set and a test set at a ratio of 8:2. The numerical proportion of the importance of the input variables was analyzed, such as Figure 6 As shown, the importance of hourly pressure difference is the highest, reaching 2.9 / 3, and the importance of daily pressure difference is the lowest, reaching 1.01 / 3. The results show that the 6 input indicators have contribution values ​​to the output, so there is no need to screen the input indicators.

[0082] In the specific implementation scheme, the RF initial framework is built, the initial number of trees is set to the default value of 500, and the initial number of leaves of each tree is set to 5. In this embodiment, GA is used to optimize the model hyperparameters, and the GA-RF return air corner oxygen concentration prediction model establishment process is as follows: Figure 7 As shown in the figure, there are three stages. The first stage is to input training samples and test samples, with the default settings of Ntress=500, Nleaves=5, use Tree Bagger for training, perform feature index importance analysis, and reselect input features to establish training samples. The second stage is to set the objective function OBB MSE , use genetic algorithm to optimize Ntress and Nleaves, if it is the best parameter, then enter the third stage. The third stage is to use Tree Bagger to train the training set and use the test sample to predict. In this embodiment, the training set is used to train the model and establish the return air corner oxygen concentration prediction model based on GA-RF.

[0083] The population size of GA is 50, the maximum number of iterations is 100, the crossover probability is 0.8, and the mutation probability is 0.1. The minimum RMSE value of the training data is used as the objective function to optimize the tree and leaf quantities. After about 40 iterations of optimization, the optimal solution is obtained. At this time, the RMSE is 0.119, and the optimal tree and leaf quantities are 398 and 1. In this embodiment, the return air corner oxygen concentration data predicted by RF and BPNN and the BPNN model optimized by GA are compared. The parameters of each model are shown in Table 1 of the internal parameters of the GA-RF, RF, GA-BPNN and BPNN prediction models.

[0084] Table 1

[0085]

[0086] Based on the collected data samples, the training set and test set are divided into equal proportions, and GA-RF, RF, GA-BPNN, and BPNN are used to predict the oxygen concentration in the return air corner.

[0087] The prediction performance evaluation indicators of GA-RF, RF, GA-BPNN and BPNN models are calculated as shown in Table 2. The RMSE of the GA-RF model is about 0.2713, the MAPE is about 1.09, and the MAE is about 0.1961, which are all smaller than other prediction models. The results show that the GA-RF model has higher generalization and accuracy in the prediction of oxygen concentration in the return air corner compared with other proposed models.

[0088] Table 2

[0089]

[0090] Specifically, the above step 2 is introduced to determine the changing characteristics of the characteristic parameters of the working face and goaf when hypoxia occurs; establish a systematic working face hypoxia key parameter monitoring system; build a hypoxia key parameter monitoring data control and processing platform, and the main monitored characteristic parameters should include: gas pressure difference, gas concentration and tunnel wind speed.

[0091] Specifically, in this embodiment, the system analyzes the changing characteristics of key parameters in each area during the occurrence of hypoxia in the working face. A monitoring system is established based on the changing characteristics of key parameters of hypoxia in each area. The specific monitoring locations and functions are as follows: In order to better monitor pressure changes, the first pressure detection device, the second pressure detection device, and the third pressure detection device are always set at the closed walls of the three consecutive connecting lanes behind the working face, and the fourth gas pressure detection device is always set at the return air corner of the working face, and the two together present the goaf-working face pressure difference; in order to better monitor the oxygen concentration of the working face, the first oxygen concentration detection device is always set at the return air corner; in order to better monitor the air leakage of the working face and the actual air volume of the fan, the first wind speed detection device is always set in the air inlet lane, and the second wind speed detection device is always set in the return air lane, and the two together present the tunnel airflow state and the air leakage volume of the goaf.

[0092] A monitoring summary platform is set up at the return air corner to display the dynamic changes of various monitoring parameters, and has the function of sending monitoring data to the surface intelligent equalization pressure prevention and control hypoxia system.

[0093] Specifically, the above step 3 is introduced to determine the relationship between the pressure equalization ventilation parameters and the pressure difference at the two corners of the working surface; an automatic control platform for the pressure equalization ventilation structure is built to control the pressure equalization fan parameters and the air window opening to achieve pressure difference control of the working surface.

[0094] In some embodiments, the pressure detection unit includes a first pressure detection module and a second pressure detection module. The first pressure detection module is located at the closed wall of the working surface, and the first pressure detection module is used to detect the first pressure of the working surface. The second pressure detection module is located at the return air corner of the working surface, and the second pressure detection module is used to detect the second pressure of the return air corner. The operation of the ventilation unit is controlled according to the pressure and the oxygen concentration, which can be specifically achieved through the following steps: calculating the difference between the first pressure and the second pressure to obtain the pressure difference; controlling the operation of the ventilation unit according to the pressure difference and the oxygen concentration.

[0095] In this solution, the pressure difference can be calculated by comparing the pressure value obtained by the first pressure detection module with the pressure value obtained by the second pressure detection module. The operation of the ventilation unit can be adjusted by the calculated pressure difference and oxygen concentration, so that the air volume and airflow direction can be controlled more accurately, thereby optimizing the ventilation effect.

[0096] In some embodiments, the operation of the ventilation unit is controlled according to the pressure difference and the oxygen concentration, which can be specifically achieved through the following steps: when the oxygen concentration is less than a first concentration threshold and / or the pressure difference is greater than a first pressure difference threshold, the operating frequency of the ventilation unit is increased; when the oxygen concentration is greater than a second concentration threshold and / or the pressure difference is less than a second pressure difference threshold, the operating frequency of the ventilation unit is reduced, wherein the first concentration threshold is less than the second concentration threshold, and the first pressure difference threshold is greater than the second pressure difference threshold.

[0097] In this solution, the operation of the ventilation unit can be adjusted by calculating the pressure difference and oxygen concentration, so that the working frequency of the ventilation unit can be further accurately controlled to optimize the ventilation effect.

[0098] Specifically, the relationship between the key parameters of the pressure-equalizing ventilation structure and the ventilation parameters, and the energy equation of the return air corner and the wind flow in front of the regulating wind window are established:

[0099]

[0100] h CD Indicates the pressure energy loss before the return air corner and the adjustable wind window, P C Indicates the gas pressure at the return air corner, Pa; P D Indicates the gas pressure before the windshield adjustment, Pa; ρ C Indicates the air density at the return air corner, kg / m 3 ρ D Indicates the air density before adjusting the windshield, kg / m 3 , v C Indicates the air velocity at the return air corner, m / s, v D Indicates the air velocity before adjusting the windshield, m / s, g indicates the acceleration of gravity, which is 9.8N / kg; z C Indicates the elevation of the return air corner, m; z D Indicates the elevation before adjusting the wind window, m.

[0101] The calculation formula for adjusting the rear opening area of ​​the wind window is:

[0102] When S D / S≤0.5,

[0103] When S D / S≥0.5,

[0104] Adjusting the pressure difference between the inside and outside of the wind window is to adjust the wind resistance of the wind window: ΔP = P D -P E =h DE ;

[0105] ΔP represents the wind resistance of the windshield, Pa, P E Indicates the gas pressure after adjusting the windshield, Pa.

[0106] Figure 8 and Fig. 9 It is the pressure gradient curve of the wind window-fan combined pressure regulation in the pressure-equalizing ventilation system. The pressure difference between the return air corner and the goaf after hypoxia occurs is the resistance required to adjust the wind window:

[0107] ΔP CF =ΔP CC′ =ΔP DD′ .

[0108] Adjust the window area to:

[0109] When S D / S≤0.5,

[0110] When S D / S≥0.5,

[0111] Among them, ΔS D is the required window area; Q is the passing air volume, S is the section area of ​​the tunnel, h DE is the pressure difference before and after the windshield adjustment, ΔP CF It is the pressure difference between the return air corner and the rear goaf.

[0112] The upper and lower thresholds of return air corner oxygen concentration are set at 20.5% and 18% respectively, and the upper and lower thresholds of working face-goaf pressure difference are set at 100Pa and 20Pa respectively.

[0113] If the oxygen concentration in the return air corner is lower than the lower threshold of 18% or the pressure difference between the return air corner and the goaf exceeds the upper threshold of 100Pa, the automatic ventilator and the automatic wind window will be adjusted to quickly increase the pressure in the working face area, and the above-mentioned air pressure difference will be restored to the pressure difference threshold; if the wind speed sensor monitoring value does not meet the requirements of the working face, the operating frequency of the automatic ventilator will be increased; if the wind speed sensor monitoring value exceeds the limit, the automatic wind window area will be increased as the main measure.

[0114] If the oxygen concentration in the return air corner is higher than the upper threshold of 20.5% or the pressure difference between the return air corner and the goaf exceeds the lower threshold of 20Pa, lower the operating frequency of the automatic fan, reduce the area of ​​the automatic wind window, and reduce the working gas pressure; if the wind speed sensor monitoring value is insufficient, increase the operating frequency of the automatic fan; if the wind speed sensor monitoring value exceeds the limit, focus on reducing the area of ​​the automatic wind window.

[0115] Specifically, this scheme establishes a GA-RF-based return air corner oxygen concentration prediction model through long-term linkage measurement of key parameters of hypoxia above and below the well, and timely adjusts the working face gas pressure according to the predicted results of the return air corner oxygen concentration, so that the working face and the goaf always maintain a stable safety pressure difference, realizes the advance prevention of hypoxia phenomenon in the working face, and solves the problem of passive prevention and control of hypoxia phenomenon in the working face of shallow buried and close-range coal seam group mining; according to the characteristics of the change of key parameters of the working face and the goaf during the occurrence of hypoxia phenomenon, a monitoring system for characteristic parameters of hypoxia phenomenon in the working face is established, and the changes in the airflow field and pressure field of the working face-goaf area are perceived in real time. In the early stage of excessive pressure difference between the working face and the goaf caused by sudden changes in the external environment, the working face air pressure is quickly increased to suppress the outflow of hypoxic gas in the goaf, and the timely control of hypoxia phenomenon in the working face is realized; by solving the ventilation parameters under the guidance of the working face pressure difference, the precise control of the equalized pressure ventilation structure is realized. The present invention can not only realize the advance prevention and timely control of hypoxia phenomenon in shallow buried coal seam mining, but also effectively improve the efficiency and ability of the equalized pressure ventilation system to prevent and control hypoxia in the working face.

[0116] Specifically, in this solution, the oxygen concentration in the return air corner is predicted, and the pressure-equalizing ventilation structure is automatically adjusted step by step in advance according to the predicted value; the key parameters of hypoxia in the goaf of the working face are monitored in real time, and sent and processed; if the monitored key parameters of hypoxia exceed the limit, the pressure-equalizing ventilation structure is forced to automatically adjust the pressure until it returns to normal. The process of ventilation prevention and control is as follows Fig.10 As shown, the return air corner oxygen concentration data prediction system relies on the return air corner oxygen concentration prediction data output, and the low oxygen key parameter monitoring system relies on the low oxygen key parameter monitoring data output to collect and output data. If the low oxygen key parameter exceeds the limit, the ventilation structure will be forced to automatically adjust the pressure.

[0117] The embodiment of the present application also provides a control device for a ventilation prevention and control system. It should be noted that the control device for the ventilation prevention and control system of the embodiment of the present application can be used to execute the control method for the ventilation prevention and control system provided by the embodiment of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0118] The following is an introduction to the control device of the ventilation prevention and control system provided in the embodiment of the present application.

[0119] Fig.11 is a structural block diagram of a control device for a ventilation prevention and control system according to an embodiment of the present application. Fig.11 As shown, the device comprises:

[0120] A first acquisition unit 100 is used to acquire the pressure in the coal mine;

[0121] The second acquisition unit 200 is used to acquire the oxygen concentration of the return air corner of the coal mine;

[0122] The control unit 300 is used to control the operation of the ventilation unit according to the pressure and the oxygen concentration so as to blow air toward the working face of the coal mine.

[0123] Through this embodiment, changes in pressure and oxygen concentration in the coal mine can be detected in real time. Abnormal pressure will cause air stagnation, and too low oxygen concentration will cause physical discomfort to miners. Therefore, compared with the method of keeping the ventilator on for ventilation in the prior art, this solution can adjust the operation of the ventilation unit in real time according to the pressure and oxygen concentration, so that the control of the ventilator is more in line with the real-time environmental requirements of the coal mine, thereby improving the efficiency of ventilation and prevention in the coal mine.

[0124] During the specific implementation process, the above-mentioned device also includes a third acquisition unit, a first construction unit and a processing unit. The third acquisition unit is used to obtain concentration-related data before obtaining the oxygen concentration of the return air corner of the above-mentioned coal mine, wherein the above-mentioned concentration-related data at least includes one or more of temperature difference, pressure difference, and working cycle; the first construction unit is used to construct a concentration detection model, wherein the above-mentioned concentration detection model is obtained by training with a plurality of sets of training data through a GA algorithm and an RF algorithm, and each set of training data in the plurality of sets of training data includes historical concentration-related data obtained within a historical time period and historical oxygen concentrations corresponding to the above-mentioned historical concentration-related data; the processing unit is used to input the above-mentioned concentration-related data into the above-mentioned concentration detection model to obtain the above-mentioned oxygen concentration corresponding to the above-mentioned concentration-related data.

[0125] In this solution, data related to oxygen concentration detection can be collected. For example, temperature difference and pressure difference can reflect the state of air flow, while the working cycle can reflect the activities of miners and the operating time of equipment. It can be trained through GA algorithm (genetic algorithm) and RF algorithm (random forest algorithm). The GA algorithm can be used to optimize the parameters and structure of the model, which can improve the accuracy and generalization ability of the model. The RF algorithm has strong classification and regression capabilities, can handle complex nonlinear relationships, and reduce fitting situations. By combining the advantages of GA algorithm and RF algorithm, the complex relationships in the data can be accurately captured, thereby improving the accuracy of oxygen concentration prediction.

[0126] In some embodiments, the pressure detection unit includes a first pressure detection module and a second pressure detection module. The first pressure detection module is located at the closed wall of the working surface, and the first pressure detection module is used to detect the first pressure of the working surface. The second pressure detection module is located at the return air corner of the working surface, and the second pressure detection module is used to detect the second pressure of the return air corner. The control unit includes a calculation module and a control module. The calculation module is used to calculate the difference between the first pressure and the second pressure to obtain the pressure difference; the control module is used to control the operation of the ventilation unit according to the pressure difference and the oxygen concentration.

[0127] In this solution, the pressure difference can be calculated by comparing the pressure value obtained by the first pressure detection module with the pressure value obtained by the second pressure detection module. The operation of the ventilation unit can be adjusted by the calculated pressure difference and oxygen concentration, so that the air volume and airflow direction can be controlled more accurately, thereby optimizing the ventilation effect.

[0128] In some embodiments, the control module includes a first control submodule and a second control submodule, the first control submodule being used to increase the operating frequency of the ventilation unit when the oxygen concentration is less than a first concentration threshold and / or the pressure difference is greater than the first pressure difference threshold; the second control submodule being used to reduce the operating frequency of the ventilation unit when the oxygen concentration is greater than a second concentration threshold and / or the pressure difference is less than a second pressure difference threshold, wherein the first concentration threshold is less than the second concentration threshold, and the first pressure difference threshold is greater than the second pressure difference threshold.

[0129] The control device of the ventilation prevention and control system includes a processor and a memory. The first acquisition unit, the second acquisition unit and the control unit are stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions. The modules are all located in the same processor; or, the modules are located in different processors in any combination.

[0130] The processor includes a kernel, and the kernel retrieves the corresponding program unit from the memory. One or more kernels can be set, and the problem of low efficiency of ventilation prevention and control in coal mines in the prior art can be solved by adjusting kernel parameters.

[0131] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0132] An embodiment of the present invention provides a computer-readable storage medium, which includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the control method of the ventilation prevention and control system.

[0133] An embodiment of the present invention provides a processor, and the processor is used to run a program, wherein the control method of the ventilation prevention and control system is executed when the program is run.

[0134] An embodiment of the present invention provides a device, the device includes a processor, a memory, and a program stored in the memory and executable on the processor, and when the processor executes the program, at least the steps of the control method of the ventilation prevention and control system are implemented. The device in this article can be a server, a PC, a PAD, a mobile phone, etc.

[0135] A computer program product includes a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the control method of the ventilation prevention and control system in each embodiment of the present application are implemented.

[0136] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0137] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0138] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0139] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0140] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0141] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0142] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0143] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0144] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0145] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0146] 1) The ventilation control system of the present application can detect changes in pressure and oxygen concentration in coal mines in real time. Abnormal pressure will cause air stagnation, and too low oxygen concentration will cause physical discomfort to miners. Therefore, compared with the prior art method of keeping the ventilator on for ventilation, the present solution can adjust the operation of the ventilation unit in real time according to the pressure and oxygen concentration, so that the control of the ventilator is more in line with the real-time environmental requirements of the coal mine, thereby improving the efficiency of ventilation control in the coal mine.

[0147] 2) The control method of the ventilation prevention and control system of the present application can detect the changes in pressure and oxygen concentration in the coal mine in real time. Abnormal pressure will cause air stagnation, and too low oxygen concentration will cause physical discomfort to miners. Therefore, compared with the method of keeping the ventilator on for ventilation in the prior art, the present solution can adjust the operation of the ventilation unit in real time according to the pressure and oxygen concentration, so that the control of the ventilator is more in line with the real-time environmental requirements of the coal mine, thereby improving the efficiency of ventilation prevention and control in the coal mine.

[0148] 3) The control device of the ventilation prevention and control system of the present application can detect the changes in pressure and oxygen concentration in the coal mine in real time. Abnormal pressure will cause air stagnation, and too low oxygen concentration will cause physical discomfort to miners. Therefore, compared with the method of keeping the ventilator on for ventilation in the prior art, the present solution can adjust the operation of the ventilation unit in real time according to the pressure and oxygen concentration, so that the control of the ventilator is more in line with the real-time environmental requirements of the coal mine, thereby improving the efficiency of ventilation prevention and control in the coal mine.

[0149] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A ventilation prevention and control system, characterized in that: include: Pressure detection unit, used to detect pressure in coal mines; A concentration detection unit, used to detect the oxygen concentration in the return air corner of the coal mine; A ventilation unit, used for blowing air to the working face of the coal mine; A controller is respectively connected to the pressure detection unit, the concentration detection unit and the ventilation unit for communication, and the controller is used for controlling the operation of the ventilation unit according to the pressure and the oxygen concentration.

2. The ventilation prevention and control system according to claim 1, characterized in that: The pressure detection unit comprises: A first pressure detection module, located at a closed wall of the working surface, the first pressure detection module is used to detect a first pressure of the working surface; The second pressure detection module is located at the return air corner of the working surface, and the second pressure detection module is used to detect the second pressure of the return air corner.

3. The ventilation prevention and control system according to claim 1, characterized in that: The ventilation unit comprises: A first ventilation module, located in the ventilation tunnel, the first ventilation module is used to blow air toward the working surface; The second ventilation module is located in the ventilation tunnel, and the second ventilation module is used to control the wind flow blown by the first ventilation module.

4. The ventilation prevention and control system according to claim 1, characterized in that: The ventilation prevention system also includes: A first air volume detection unit is located in the air inlet tunnel, and the first air volume detection unit is used to detect the air volume of the air inlet tunnel; The second air volume detection unit is located in the return air alley, and the second air volume detection unit is used to detect the air volume of the return air alley.

5. A method for controlling a ventilation prevention and control system according to any one of claims 1 to 4, characterized in that: The method comprises: Obtaining pressure in coal mines; Obtaining the oxygen concentration of the return air corner of the coal mine; The ventilation unit is controlled to operate according to the pressure and the oxygen concentration so as to blow air toward the working face of the coal mine.

6. The method according to claim 5, characterized in that Before obtaining the oxygen concentration of the return air corner of the coal mine, the method further includes: Acquiring concentration-related data, wherein the concentration-related data includes at least one or more of temperature difference, pressure difference, and working cycle; Constructing a concentration detection model, wherein the concentration detection model is trained by a GA algorithm and a RF algorithm using multiple sets of training data, each set of training data in the multiple sets of training data includes historical concentration-related data acquired in a historical time period and historical oxygen concentrations corresponding to the historical concentration-related data; The concentration-related data is input into the concentration detection model to obtain the oxygen concentration corresponding to the concentration-related data.

7. The method according to claim 5, characterized in that The pressure detection unit includes a first pressure detection module and a second pressure detection module, the first pressure detection module is located at the closed wall of the working surface, the first pressure detection module is used to detect the first pressure of the working surface, the second pressure detection module is located at the return air corner of the working surface, the second pressure detection module is used to detect the second pressure of the return air corner, and the ventilation unit is controlled to operate according to the pressure and the oxygen concentration, including: calculating a difference between the first pressure and the second pressure to obtain a pressure difference; The ventilation unit is controlled to operate according to the pressure difference and the oxygen concentration.

8. The method according to claim 7, characterized in that Controlling the ventilation unit to operate according to the pressure difference and the oxygen concentration includes: When the oxygen concentration is less than a first concentration threshold and / or the pressure difference is greater than a first pressure difference threshold, increasing the operating frequency of the ventilation unit; When the oxygen concentration is greater than a second concentration threshold and / or the pressure difference is less than a second pressure difference threshold, the operating frequency of the ventilation unit is reduced, wherein the first concentration threshold is less than the second concentration threshold, and the first pressure difference threshold is greater than the second pressure difference threshold.

9. A control device for a ventilation prevention and treatment system according to any one of claims 1 to 4, characterized in that: The device comprises: A first acquisition unit, used for acquiring the pressure in the coal mine; A second acquisition unit is used to acquire the oxygen concentration of the return air corner of the coal mine; A control unit is used to control the operation of the ventilation unit according to the pressure and the oxygen concentration so as to blow air toward the working face of the coal mine.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 5 to 8 are implemented.

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