Coal mine dust fall control method and device and electronic equipment

Abstract

According to the coal mine dust fall control method and device and the electronic equipment, the target air volume adjustment rate is determined in combination with the air volume adjustment emergency degree parameter and the dust concentration influence factor, so that the ventilation quantity of the coal mine monitoring area is adjusted according to the target air volume adjustment rate, air volume adjustment is rapidly carried out under the emergency situation, and the efficiency is improved. The safety of a coal mine collection working environment is ensured; the target flow is calculated according to the air volume adjustment target value, the current ventilation air volume and the current dust concentration, and the flow of the dustproof spray is adjusted according to the target flow, so that the problem that the dust falling effect is reduced or dust flies secondarily due to the fact that the air volume adjustment rate is too high under the non-emergency condition is solved; the defect that the acting effects of a ventilation system and a dustproof system are mutually limited is overcome, the effect that the flow of dustproof spray is matched with the dust concentration change and the air volume change is achieved, and the safety of the coal mine collection working environment is further guaranteed.

Description

Technical Field

[0001] This invention relates to the field of coal mine safety technology, and in particular to methods, devices and electronic equipment for controlling dust in coal mines. Background Technology

[0002] Coal, as a vital energy resource, is characterized by complex environments, high operational risks, and numerous production stages. Existing coal mine automation technologies are largely limited to the automatic control of single equipment, lacking deep application of multi-dimensional data fusion and artificial intelligence algorithms, making it difficult to achieve full-process, intelligent production management. In coal mine production, ventilation and dust control systems are core infrastructures for ensuring safe production. Ventilation systems must maintain reasonable wind speeds and methane concentrations in the mine to prevent methane accumulation and accidents; dust control systems must reduce dust concentration through spraying and water injection to protect the health of workers. However, existing automation technologies for coal mine ventilation and dust control systems have certain shortcomings. For example, ventilation systems often rely on fixed thresholds or manual experience to adjust airflow, lacking adaptability to dynamic scenarios. Furthermore, ventilation and dust control systems operate independently, resulting in severe data silos and a lack of a coordinated control mechanism. For instance, if spray parameters are not promptly adapted after airflow adjustments, dust suppression effectiveness decreases or dust re-entrainment occurs, leading to mutual limitations between the ventilation and dust control systems, reducing both ventilation and dust control effectiveness, and ultimately lowering the safety of the coal mining environment. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide a method, apparatus and electronic equipment for controlling dust in coal mines, so as to alleviate the above-mentioned problems.

[0004] In a first aspect, embodiments of the present invention provide a method for controlling dust suppression in coal mines. The method includes: acquiring detection parameters of a coal mine monitoring area at the current moment; wherein the detection parameters include: current coal mining speed, current gas concentration, current ventilation volume, current dust concentration, and current ambient humidity; inputting the current coal mining speed, current gas concentration, and current ventilation volume into a pre-trained prediction model, so that the prediction model outputs a predicted value of gas concentration and a target value of ventilation volume adjustment within a specified future time period; determining a parameter of urgency for ventilation volume adjustment based on the current gas concentration and the predicted gas concentration, and determining a dust concentration influencing factor based on the current dust concentration and the current ambient humidity; calculating a target ventilation volume adjustment rate based on the current ventilation volume, the target ventilation volume adjustment value, the current gas concentration, the predicted gas concentration, the specified time period, the parameter of urgency for ventilation volume adjustment, and the dust concentration influencing factor, and adjusting the ventilation volume of the coal mine monitoring area according to the target ventilation volume adjustment rate; calculating a target flow rate based on the target ventilation volume adjustment value, the current ventilation volume, and the current dust concentration, and adjusting the flow rate of the dust suppression spray according to the target flow rate.

[0005] Optionally, the urgency parameter for airflow adjustment is determined based on the current gas concentration and the predicted gas concentration, including: determining the gas concentration deviation based on the current gas concentration and the predicted gas concentration; and determining the urgency parameter for airflow adjustment based on the gas concentration deviation and a preset threshold.

[0006] Optionally, the preset threshold includes a first threshold and a second threshold, and the airflow adjustment urgency parameter includes a first airflow adjustment urgency parameter, a second airflow adjustment urgency parameter, and a third airflow adjustment urgency parameter; determining the airflow adjustment urgency parameter based on the gas concentration deviation and the preset threshold includes: if the gas concentration deviation is not greater than the first threshold, determining the airflow adjustment urgency parameter as the first airflow adjustment urgency parameter; or, if the gas concentration deviation is greater than the first threshold but not greater than the second threshold, determining the airflow adjustment urgency parameter as the second airflow adjustment urgency parameter; or, if the gas concentration deviation is greater than the second threshold, determining the airflow adjustment urgency parameter as the third airflow adjustment urgency parameter.

[0007] Optionally, the target airflow adjustment rate is calculated based on the current ventilation airflow, the target airflow adjustment value, the current gas concentration, the predicted gas concentration, the specified duration, the airflow adjustment urgency parameter, and the dust concentration influence factor. This includes: determining the basic airflow adjustment rate based on the current ventilation airflow, the target airflow adjustment value, the current gas concentration, the predicted gas concentration, and the preset airflow adjustment duration; and calculating the target airflow adjustment rate based on the airflow adjustment urgency parameter, the dust concentration influence factor, and the basic airflow adjustment rate.

[0008] Optionally, the target air volume adjustment rate is calculated based on the air volume adjustment urgency parameter, dust concentration influence factor, and basic air volume adjustment rate, including: determining the adjustment coefficient based on the air volume adjustment urgency parameter, dust concentration influence factor, gas concentration deviation, and preset threshold, and calculating the target air volume adjustment rate based on the adjustment coefficient and basic air volume adjustment rate.

[0009] Optionally, the dust concentration influencing factor is determined based on the current dust concentration and the current ambient humidity, including: determining the dust concentration influencing factor based on the current dust concentration, the current ambient humidity, and preset basic parameters; wherein, the preset basic parameters include the dust concentration safety threshold and the air humidity benchmark value.

[0010] Optionally, the method further includes: acquiring a training dataset; wherein the training dataset includes: multiple training parameters and training results corresponding to each training parameter, the training parameters include coal mining speed training value, gas concentration training value and ventilation air volume training value, and the training results include gas concentration prediction training value and ventilation air volume adjustment target training value; training the long short-term memory network according to the training dataset to obtain a trained prediction model.

[0011] Secondly, embodiments of the present invention also provide a coal mine dust control device, the device comprising: The acquisition module is used to acquire the detection parameters of the coal mine monitoring area at the current moment; the detection parameters include: current coal mining speed, current gas concentration, current ventilation volume, current dust concentration, and current ambient humidity. The prediction module is used to input the current coal mining speed, current gas concentration, and current ventilation volume into the pre-trained prediction model so that the prediction model can output the predicted value of gas concentration and the target value of ventilation volume adjustment within a specified time period at the current moment. The determination module is used to determine the urgency parameters of air volume adjustment based on the current gas concentration and the predicted gas concentration, and to determine the dust concentration influencing factors based on the current dust concentration and the current ambient humidity. The calculation module is used to calculate the target air volume adjustment rate based on the current ventilation volume, the target air volume adjustment value, the current gas concentration, the predicted gas concentration value, the specified duration, the urgency parameter of the air volume adjustment, and the dust concentration influence factor, and to adjust the ventilation volume of the coal mine monitoring area according to the target air volume adjustment rate. The adjustment module is used to calculate the target flow rate based on the target value of air volume adjustment, the current ventilation air volume and the current dust concentration, and adjust the flow rate of the dust suppression spray according to the target flow rate.

[0012] Thirdly, embodiments of the present invention also provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method described in the first aspect.

[0013] Fourthly, embodiments of the present invention also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the method described in the first aspect.

[0014] The embodiments of the present invention bring the following beneficial effects: This invention provides a method, apparatus, and electronic device for controlling dust in coal mines. First, the detection parameters of the coal mine monitoring area at the current moment are acquired. The current coal mining speed, current gas concentration, and current ventilation volume are input into a pre-trained prediction model, so that the prediction model outputs a predicted gas concentration and a target ventilation volume adjustment value for a specified future time period. An urgency parameter for ventilation volume adjustment is determined based on the current gas concentration and the predicted gas concentration value. A dust concentration influencing factor is determined based on the current dust concentration and the current ambient humidity. A target ventilation volume adjustment rate is calculated based on the current ventilation volume, the target ventilation volume adjustment value, the current gas concentration, the predicted gas concentration value, the specified time period, the urgency parameter for ventilation volume adjustment, and the dust concentration influencing factor. The ventilation volume of the coal mine monitoring area is adjusted according to the target ventilation volume adjustment rate. Finally, a target flow rate is calculated based on the target ventilation volume adjustment value, the current ventilation volume, and the current dust concentration. The flow rate of the dust suppression spray is adjusted according to the target flow rate. The above control method, by combining the urgency parameter of air volume adjustment and the dust concentration influencing factor to determine the target air volume adjustment rate, allows for adjustment of the ventilation volume in the coal mine monitoring area according to the target air volume adjustment rate. This enables rapid air volume adjustment in emergency situations to ensure the safety of the coal mine data collection working environment. Furthermore, it calculates the target flow rate based on the target air volume adjustment value, the current ventilation volume, and the current dust concentration, and adjusts the dust suppression spray flow rate accordingly. This avoids the problem of reduced dust suppression effect or secondary dust re-entrainment caused by excessively high air volume adjustment rates in non-emergency situations. It also solves the defect of mutual restriction between the ventilation system and the dust suppression system, achieving a match between the dust suppression spray flow rate and changes in dust concentration and air volume, further ensuring the safety of the coal mine data collection working environment.

[0015] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0016] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0017] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1A flowchart of a coal mine dust control method provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of a coal mine dust control device provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] To facilitate understanding of this embodiment, the embodiments of the present invention will be described in detail below.

[0021] Example 1 This invention provides a method for controlling dust in coal mines, such as... Figure 1 As shown, the method includes the following steps: Step S102: Obtain the detection parameters of the coal mine monitoring area at the current moment.

[0022] Specifically, for the monitoring area of ​​a coal mine roadway, the detection parameters of the monitoring area are acquired in real time or periodically through a data acquisition device. For ease of explanation, this embodiment of the invention uses the detection parameters at the current moment as an example. These detection parameters include: the current coal mining speed. v Current gas concentration r 0. Current ventilation volume U 0. Current dust concentration Q and current ambient humidity S In practical applications, the detection device includes components for collecting the current ventilation air volume. U The ventilation parameter acquisition unit (0) is used to collect the current dust concentration. Q The dust control parameter acquisition unit is used to collect the current gas concentration. r 0 and current ambient humidity S Environmental parameter acquisition unit, and unit used to acquire current coal mining speed v The coal mining parameter acquisition unit can be configured in terms of the type and number of acquisition devices, depending on the type and quantity of the parameters being detected. This embodiment of the invention does not impose any limitations on this. It should be noted that the aforementioned coal mining speed refers to the tunneling speed of the coal mining machine during coal mining.

[0023] Step S104: Input the current coal mining speed, current gas concentration, and current ventilation volume into the pre-trained prediction model so that the prediction model outputs the predicted gas concentration and ventilation volume adjustment target value for the specified future time period at the current moment.

[0024] After obtaining the detection parameters at the current moment, the current coal mining speed will be... v Current gas concentration r 0 and current ventilation volume U 0 is input into the pre-trained prediction model so that the prediction model can be adjusted according to the current coal mining speed. v Current gas concentration r 0 and current ventilation volume U 0 Output the specified future duration Δ from the current time. T Predicted gas concentration values r 1 and air volume adjustment target value U 1.

[0025] The prediction model is trained using an LSTM (Long Short-Term Memory) network, hence it can also be called an LSTM prediction model. The method further includes: acquiring a training dataset; the training dataset includes multiple training parameters and the corresponding training results for each parameter. The training parameters include training values ​​for coal mining speed, gas concentration, and ventilation volume; the training results include predicted gas concentration training values ​​and target ventilation volume adjustment training values. The long short-term memory network is then trained using the training dataset to obtain the trained prediction model.

[0026] Specifically, historical operating data is acquired, and multiple coal mining speeds from the historical operating data are used as training values ​​for coal mining speed. The gas concentration and ventilation volume corresponding to each coal mining speed in the historical operating data are used as training values ​​for gas concentration prediction and ventilation volume adjustment targets, respectively. In addition, the target gas concentration and ventilation volume targets for a specified future time corresponding to each coal mining speed in the historical operating data are also acquired as training values ​​for gas concentration prediction and ventilation volume adjustment targets. Thus, multiple training parameters are obtained based on multiple coal mining speed training values ​​and the corresponding training values ​​for gas concentration prediction and ventilation volume adjustment targets. The target gas concentration and ventilation volume targets for a specified future time corresponding to each coal mining speed are used as training results. The Long Short-Term Memory Network is trained using a training dataset composed of multiple training parameters and the training results corresponding to each training parameter to obtain a trained prediction model.

[0027] Therefore, the predictive model is used to analyze the impact of the rate of change of coal mining speed on the change in gas concentration, and to predict the gas concentration change value (i.e., the predicted gas concentration value) and the corresponding ventilation volume target value (i.e., the target air volume adjustment value) within a specified time period. In addition, the predictive model can also effectively capture long-term dependencies in time-series data, such as the gas concentration only starting to rise significantly 30 minutes after the coal mining speed changes. In practical applications, the prediction model comprises an input layer, a hidden layer, and an output layer. The input layer receives the collected detection parameters, including coal mining speed, gas concentration, and ventilation volume in coal mine production. The hidden layer consists of two LSTM units and employs the ReLU activation function to address the vanishing gradient problem, thereby capturing long-term dependencies in the time-series data. The output layer outputs predicted values ​​for key parameters within a specified future timeframe, such as predicted gas concentration and target ventilation volume for the next 1, 3, and 5 minutes. For example, within the next 1 minute: the predicted gas concentration is 0.65%, and the target ventilation volume is 950 m³ / min; or within the next 5 minutes: the predicted gas concentration is 0.8%, and the target ventilation volume is 1050 m³ / min. Specifically, the specified timeframe can be set according to actual conditions.

[0028] Step S106: Determine the urgency parameter for air volume adjustment based on the current gas concentration and the predicted gas concentration, and determine the dust concentration influencing factor based on the current dust concentration and the current ambient humidity.

[0029] (1) For the urgency parameter of air volume adjustment, firstly, it should be based on the current gas concentration. r 0 and predicted gas concentration values r 1. Determine the gas concentration deviation Δ r According to the gas concentration deviation Δ r The urgency level of airflow adjustment is determined by a preset threshold. The preset threshold includes a first threshold. α 1 and second threshold α 2. Airflow adjustment urgency parameter β Including the urgency parameter for adjusting the first air volume. β 1. Second air volume adjustment emergency level parameter β 2 and 3 air volume adjustment emergency level parameters β 3; Here, the airflow adjustment urgency parameter represents the airflow adjustment urgency correction parameter set according to the airflow adjustment urgency level, the first airflow adjustment urgency parameter. β 1. An emergency correction parameter for airflow adjustment set when the urgency level of the airflow adjustment is non-urgent; 2. An emergency level parameter for airflow adjustment. β 2. An emergency correction parameter for airflow adjustment set when the urgency level of the airflow adjustment is set to indicate the urgency. The third airflow adjustment urgency parameter. β3. Emergency correction parameters for airflow adjustment set when the urgency level of airflow adjustment is highly urgent.

[0030] Specifically, if the gas concentration deviation is not greater than the first threshold, the urgency parameter for airflow adjustment is determined as the first urgency parameter for airflow adjustment; that is, when Δ r ≤ α At time 1, it indicates that the gas concentration deviation is too low, so the urgency level of the air volume adjustment is non-urgent. β = β 1. If the gas concentration deviation is greater than the first threshold but not greater than the second threshold, the urgency parameter for airflow adjustment is determined as the second urgency parameter for airflow adjustment; that is, when... α 1 < Δ r ≤ α At time 2, it indicates that the gas concentration deviation is moderate, and the urgency level of the air volume adjustment is set to emergency. β = β 2. If the gas concentration deviation is greater than the second threshold, the urgency parameter for airflow adjustment is determined as the third urgency parameter for airflow adjustment; that is, when Δ r > α At 2 o'clock, it indicates that the gas concentration deviation is too high, so the urgency level of the air volume adjustment is high urgency. β = β 3.

[0031] It should be noted that, under normal circumstances, the emergency correction parameter for airflow adjustment is set to a smaller value. However, in emergency and highly emergency situations, to ensure the safety of the working environment, the impact of the urgency of the airflow adjustment on the adjustment rate is considered first; therefore, the emergency correction parameter is set to a larger value, for example... β 1 = 0.5 β 2 = 0.7 β 3 = 0.9, specifically β 1. β 2 and β The value of 3 can be adjusted adaptively according to the actual situation.

[0032] Therefore, based on the current gas concentration r 0 and predicted gas concentration values r 1. Determine the gas concentration deviation Δ r And based on the gas concentration deviation Δ r The urgency parameter for air volume adjustment is determined by a preset threshold, so that the flow rate of the dust suppression spray can be adjusted according to the urgency parameter, thereby ensuring the dust suppression effect in the coal mine roadways.

[0033] (2) For the dust concentration influencing factors, the dust concentration influencing factors are determined based on the current dust concentration, the current ambient humidity and the preset basic parameters; among which, the preset basic parameters include the dust concentration safety threshold and the air humidity benchmark value.

[0034] Among them, the dust concentration influence factor is used to characterize the influence of dust concentration on the airflow adjustment rate, and its calculation formula is as follows: (1) in, Indicates the factors affecting dust concentration. Q Indicates the current dust concentration. S Indicates the current ambient humidity. This indicates the safe threshold for dust concentration. This represents the baseline value for air humidity. e Represents the natural constant.

[0035] Step S108: Calculate the target air volume adjustment rate based on the current ventilation volume, the target air volume adjustment value, the current gas concentration, the predicted gas concentration value, the specified duration, the urgency parameter of the air volume adjustment, and the dust concentration influence factor, and adjust the ventilation volume of the coal mine monitoring area according to the target air volume adjustment rate.

[0036] Specifically, the basic airflow adjustment rate is first determined based on the current ventilation volume, the target airflow adjustment value, the current gas concentration, the predicted gas concentration, and the preset airflow adjustment duration. Then, the target airflow adjustment rate is calculated based on the airflow adjustment urgency parameter, the dust concentration influence factor, and the basic airflow adjustment rate. The formula for calculating the basic airflow adjustment rate is as follows: (2) in, Indicates the basic air volume adjustment rate. U 1 indicates the target value for airflow adjustment. U 0 indicates the current ventilation volume. Indicates the duration of airflow adjustment. r 0 indicates the current gas concentration. r 1 represents the predicted gas concentration.

[0037] The above-mentioned basic air volume adjustment rate Once determined, the adjustment coefficient is determined based on the urgency parameter of air volume adjustment, dust concentration influence factor, gas concentration deviation and preset threshold, and the target air volume adjustment rate is calculated based on the adjustment coefficient and the basic air volume adjustment rate.

[0038] The preset thresholds include a first threshold and a second threshold, and the formula for calculating the adjustment coefficient is as follows: (3) in, k Indicates the adjustment factor. Indicates the factors affecting dust concentration. This parameter indicates the urgency level of airflow adjustment. r 0 indicates the current gas concentration. r 1 represents the predicted gas concentration. α 1 represents the first threshold. α 2 indicates the second threshold. It should be noted that if the urgency level of the airflow adjustment is set to non-urgent, then... β = β 1; If the urgency level of the airflow adjustment is set to emergency, then β = β 2; If the urgency level for airflow adjustment is set to "high urgency", then β = β 1; If the urgency level of the airflow adjustment is set to emergency, then β = β 3.

[0039] Finally, based on the adjustment coefficient k and basic air volume adjustment rate Determine the target air volume adjustment rate ,Right now The target airflow adjustment rate here This can also be understood as the optimal rate of airflow adjustment, so that the adjustment rate can be adjusted according to the target airflow. Adjusting the ventilation volume in the coal mine monitoring area enables rapid airflow adjustment in emergencies, thereby controlling gas concentration and ensuring a safe working environment for coal mine data collection.

[0040] Step S110: Calculate the target flow rate based on the target value of air volume adjustment, the current ventilation air volume, and the current dust concentration, and adjust the flow rate of the dust suppression spray according to the target flow rate.

[0041] The formula for calculating the target traffic is as follows: (4) in, Indicates the target traffic. This indicates the base flow rate of the dust suppression spray. Q Indicates the current dust concentration. This indicates the safe threshold for dust concentration. U 1 indicates the target value for airflow adjustment. U 0 indicates the current ventilation volume. It should be noted that this is the base flow rate for the dust suppression spray. and dust concentration safety threshold It can be pre-stored in electronic devices.

[0042] Therefore, the coal mine dust control method provided in this embodiment of the invention involves two adjustment parameters: a target air volume adjustment rate and a target flow rate. The target air volume adjustment rate is used to adjust the ventilation volume, thereby controlling the methane concentration. The target flow rate is used to adjust the flow rate of the dust suppression spray, thereby controlling dust through humidity control. Furthermore, a target air volume adjustment value is introduced in the process of determining the target flow rate. U 1 and current dust concentration Q Coupling; for the target airflow adjustment rate, the basic airflow adjustment rate is first calculated, at which point the target airflow adjustment value is introduced. U 1. Current gas concentration r The coupling of zero means that the two adjustment parameters, the target air volume adjustment rate and the target flow rate, restrain each other during the adjustment process. This avoids the problem of reduced dust suppression effect or secondary dust re-entrainment caused by excessively high air volume adjustment rate in non-emergency situations. It solves the defect of mutual restriction between the ventilation system and the dust suppression system, and achieves the effect of matching the flow rate of the dust suppression spray with changes in dust concentration and air volume. It also solves the problem of low dust suppression efficiency caused by low humidity in coal mine roadways due to the use of a fixed flow rate of the dust suppression spray, and further ensures the safety of the coal mine mining working environment.

[0043] Example 2 Based on the above method embodiments, this invention also provides a coal mine dust control device, such as... Figure 2 As shown, the device includes, in sequence: an acquisition module 21, a prediction module 22, a determination module 23, a calculation module 24, and an adjustment module 25; wherein the functions of each module are as follows: The acquisition module 21 is used to acquire the detection parameters of the coal mine monitoring area at the current time; the detection parameters include: current coal mining speed, current gas concentration, current ventilation volume, current dust concentration and current ambient humidity; Prediction module 22 is used to input the current coal mining speed, current gas concentration and current ventilation volume into the pre-trained prediction model so that the prediction model outputs the predicted value of gas concentration and the target value of ventilation volume adjustment within a specified time period at the current moment. Module 23 is used to determine the urgency parameters of air volume adjustment based on the current gas concentration and the predicted gas concentration, and to determine the dust concentration influencing factors based on the current dust concentration and the current ambient humidity. The calculation module 24 is used to calculate the target air volume adjustment rate based on the current ventilation volume, the target air volume adjustment value, the current gas concentration, the predicted gas concentration value, the specified duration, the urgency parameter of the air volume adjustment, and the dust concentration influence factor, and to adjust the ventilation volume of the coal mine monitoring area according to the target air volume adjustment rate. The adjustment module 25 is used to calculate the target flow rate based on the target value of air volume adjustment, the current ventilation air volume and the current dust concentration, and adjust the flow rate of the dust suppression spray according to the target flow rate.

[0044] The coal mine dust control device provided in this invention combines the urgency parameter of airflow adjustment and the dust concentration influencing factor to determine the target airflow adjustment rate. This allows for adjustment of the ventilation volume in the coal mine monitoring area based on the target airflow adjustment rate, enabling rapid airflow adjustment in emergency situations to ensure the safety of the coal mine data collection environment. Furthermore, it calculates the target flow rate based on the target airflow adjustment value, the current ventilation volume, and the current dust concentration, and adjusts the flow rate of the dust suppression spray accordingly. This avoids the problem of reduced dust suppression effect or secondary dust re-entrainment caused by excessively high airflow adjustment rates in non-emergency situations. It also solves the defect of mutual restriction between the ventilation system and the dust suppression system, achieving a match between the dust suppression spray flow rate and changes in dust concentration and airflow, further ensuring the safety of the coal mine data collection environment.

[0045] Optionally, the determining module 23 is used to: determine the gas concentration deviation based on the current gas concentration and the predicted gas concentration; and determine the air volume adjustment urgency parameter based on the gas concentration deviation and a preset threshold.

[0046] Optionally, the preset threshold includes a first threshold and a second threshold, and the airflow adjustment urgency parameter includes a first airflow adjustment urgency parameter, a second airflow adjustment urgency parameter, and a third airflow adjustment urgency parameter; determining the airflow adjustment urgency parameter based on the gas concentration deviation and the preset threshold includes: if the gas concentration deviation is not greater than the first threshold, determining the airflow adjustment urgency parameter as the first airflow adjustment urgency parameter; or, if the gas concentration deviation is greater than the first threshold but not greater than the second threshold, determining the airflow adjustment urgency parameter as the second airflow adjustment urgency parameter; or, if the gas concentration deviation is greater than the second threshold, determining the airflow adjustment urgency parameter as the third airflow adjustment urgency parameter.

[0047] Optionally, the calculation module 24 is used to: determine the basic air volume adjustment rate based on the current ventilation air volume, the target air volume adjustment value, the current gas concentration, the predicted gas concentration value, and the preset air volume adjustment duration; and calculate the target air volume adjustment rate based on the air volume adjustment urgency parameter, the dust concentration influence factor, and the basic air volume adjustment rate.

[0048] Optionally, the target air volume adjustment rate is calculated based on the air volume adjustment urgency parameter, dust concentration influence factor, and basic air volume adjustment rate, including: determining the adjustment coefficient based on the air volume adjustment urgency parameter, dust concentration influence factor, gas concentration deviation, and preset threshold, and calculating the target air volume adjustment rate based on the adjustment coefficient and basic air volume adjustment rate.

[0049] Optionally, the determining module 23 is further configured to: determine the dust concentration influencing factor based on the current dust concentration, the current ambient humidity, and preset basic parameters; wherein the preset basic parameters include the dust concentration safety threshold and the air humidity benchmark value.

[0050] Optionally, the device further includes: acquiring a training dataset; wherein the training dataset includes: multiple training parameters and training results corresponding to each training parameter, the training parameters include coal mining speed training value, gas concentration training value and ventilation air volume training value, and the training results include gas concentration prediction training value and ventilation air volume adjustment target training value; training the long short-term memory network according to the training dataset to obtain a trained prediction model.

[0051] The coal mine dust control device provided in this embodiment of the invention has the same technical features as the coal mine dust control method provided in the above embodiments, so it can also solve the same technical problems and achieve the same technical effects.

[0052] This invention also provides an electronic device, including a processor and a memory. The memory stores machine-executable instructions that can be executed by the processor, and the processor executes the machine-executable instructions to implement the above-mentioned coal mine dust control method.

[0053] See Figure 3 As shown, the electronic device includes a processor 100 and a memory 101. The memory 101 stores machine-executable instructions that can be executed by the processor 100. The processor 100 executes the machine-executable instructions to implement the above-mentioned coal mine dust control method.

[0054] Furthermore, Figure 3 The electronic device shown also includes a bus 102 and a communication interface 103, with the processor 100, the communication interface 103 and the memory 101 connected via the bus 102.

[0055] The memory 101 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 103 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc. The bus 102 may be an ISA (Industrial Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Enhanced Industry Standard Architecture) bus, etc. These buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 3 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0056] Processor 100 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 100 or by instructions in software form. Processor 100 may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a readily available storage medium in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory 101, and the processor 100 reads the information from memory 101 and, in conjunction with its hardware, completes the steps of the method described in the foregoing embodiments.

[0057] This embodiment also provides a computer-readable storage medium storing a computer program, which is executed by a processor to perform the above-described coal mine dust control method.

[0058] The computer program product of the coal mine dust control method, device and electronic equipment provided in the embodiments of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods described in the preceding method embodiments. For specific implementation, please refer to the method embodiments, which will not be repeated here.

[0059] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system and apparatus described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0060] Furthermore, in the description of the embodiments of the present invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention based on the specific circumstances.

[0061] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0062] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0063] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for controlling dust in coal mines, characterized in that, The method includes: The detection parameters of the coal mine monitoring area at the current moment are obtained; wherein, the detection parameters include: current coal mining speed, current gas concentration, current ventilation volume, current dust concentration and current ambient humidity; The current coal mining speed, the current gas concentration, and the current ventilation volume are input into a pre-trained prediction model so that the prediction model outputs the predicted gas concentration and the target ventilation volume adjustment value for a specified future time period at the current moment. The urgency parameter for airflow adjustment is determined based on the current gas concentration and the predicted gas concentration; the dust concentration influencing factor is determined based on the current dust concentration and the current ambient humidity. The target air volume adjustment rate is calculated based on the current ventilation volume, the target air volume adjustment value, the current gas concentration, the predicted gas concentration value, the specified duration, the air volume adjustment urgency parameter, and the dust concentration influence factor. The ventilation volume of the coal mine monitoring area is then adjusted according to the target air volume adjustment rate. The target flow rate is calculated based on the target air volume adjustment value, the current ventilation air volume, and the current dust concentration, and the flow rate of the dust suppression spray is adjusted according to the target flow rate.

2. The method according to claim 1, characterized in that, The step of determining the urgency parameter for airflow adjustment based on the current gas concentration and the predicted gas concentration includes: The gas concentration deviation is determined based on the current gas concentration and the predicted gas concentration. The urgency parameter for adjusting the air volume is determined based on the gas concentration deviation and the preset threshold.

3. The method according to claim 2, characterized in that, The preset threshold includes a first threshold and a second threshold, and the airflow adjustment urgency parameter includes a first airflow adjustment urgency parameter, a second airflow adjustment urgency parameter, and a third airflow adjustment urgency parameter. The step of determining the urgency parameter of the air volume adjustment based on the gas concentration deviation and a preset threshold includes: If the gas concentration deviation is not greater than the first threshold, the air volume adjustment urgency parameter is determined to be the first air volume adjustment urgency parameter. or, If the gas concentration deviation is greater than the first threshold but not greater than the second threshold, the urgency parameter for airflow adjustment is determined to be the second urgency parameter for airflow adjustment; or... If the gas concentration deviation is greater than the second threshold, the urgency parameter for air volume adjustment is determined to be the third urgency parameter for air volume adjustment.

4. The method according to claim 2, characterized in that, The step of calculating the target airflow adjustment rate based on the current ventilation volume, the target airflow adjustment value, the current gas concentration, the predicted gas concentration, the specified duration, the urgency parameter of the airflow adjustment, and the dust concentration influence factor includes: The basic air volume adjustment rate is determined based on the current ventilation air volume, the air volume adjustment target value, the current gas concentration, the predicted gas concentration value, and the preset air volume adjustment duration. The target airflow adjustment rate is calculated based on the airflow adjustment urgency parameter, the dust concentration influence factor, and the basic airflow adjustment rate.

5. The method according to claim 4, characterized in that, The step of calculating the target airflow adjustment rate based on the airflow adjustment urgency parameter, the dust concentration influence factor, and the basic airflow adjustment rate includes: The adjustment coefficient is determined based on the air volume adjustment urgency parameter, the dust concentration influence factor, the gas concentration deviation, and the preset threshold. The target air volume adjustment rate is then calculated based on the adjustment coefficient and the basic air volume adjustment rate.

6. The method according to claim 1, characterized in that, The step of determining the dust concentration influencing factors based on the current dust concentration and the current ambient humidity includes: The dust concentration influencing factor is determined based on the current dust concentration, the current ambient humidity, and preset basic parameters; wherein, the preset basic parameters include a dust concentration safety threshold and an air humidity baseline value.

7. The method according to claim 1, characterized in that, The method further includes: Obtain a training dataset; wherein the training dataset includes: multiple training parameters and training results corresponding to each training parameter, the training parameters include coal mining speed training values, gas concentration training values ​​and ventilation air volume training values, and the training results include gas concentration prediction training values ​​and ventilation air volume adjustment target training values; The Long Short-Term Memory network is trained using the training dataset to obtain the trained prediction model.

8. A dust control device for coal mines, characterized in that, The device includes: The acquisition module is used to acquire the detection parameters of the coal mine monitoring area at the current moment; wherein, the detection parameters include: current coal mining speed, current gas concentration, current ventilation volume, current dust concentration and current ambient humidity; The prediction module is used to input the current coal mining speed, the current gas concentration, and the current ventilation volume into a pre-trained prediction model, so that the prediction model outputs the predicted value of gas concentration and the target value of ventilation volume adjustment within a specified time period at the current moment; The determination module is used to determine the urgency parameter of air volume adjustment based on the current gas concentration and the predicted gas concentration, and to determine the dust concentration influencing factor based on the current dust concentration and the current ambient humidity; The calculation module is used to calculate the target air volume adjustment rate based on the current ventilation air volume, the target air volume adjustment value, the current gas concentration, the predicted gas concentration value, the specified duration, the air volume adjustment urgency parameter, and the dust concentration influence factor, and to adjust the ventilation volume of the coal mine monitoring area according to the target air volume adjustment rate; The adjustment module is used to calculate the target flow rate based on the target value of the air volume adjustment, the current ventilation air volume, and the current dust concentration, and to adjust the flow rate of the dust suppression spray according to the target flow rate.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, performs the steps of the method described in any one of claims 1-7.

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