A method for obtaining spray information of dust source spray dust reduction in fully mechanized mining face

Abstract

The present invention relates to the field of coal mining technology, and in particular to a method for obtaining spray information for dust source spraying and dust reduction on a fully mechanized mining face, comprising: obtaining first environmental information of the current fully mechanized mining face and coal mining machine information; the first environmental information includes: dust particle size of the fully mechanized mining face dust source, dust concentration of the fully mechanized mining face dust source, fully mechanized mining face temperature information, and fully mechanized mining face wind speed information; inputting the first environmental information into a trained working parameter determination model to obtain working parameter information of the current fully mechanized mining face; the working parameter determination model includes: a spray flow determination sub-model, a spray pressure determination sub-model, and a spray angle determination sub-model; based on the working parameter information of the current fully mechanized mining face, coal mining machine information, and pre-set spray information rules, obtaining spray information for dust reduction on the current fully mechanized mining face. The method of the present invention improves the effectiveness and reliability of dust source spraying and dust reduction on the fully mechanized mining face.

Description

Technical Field

[0001] The present invention relates to the technical field of coal mining, and in particular to a method for acquiring spray information of dust source spray dust reduction in a fully mechanized mining face. Background Art

[0002] With the increasing mechanization of coal mining, large amounts of dust are generated during mining operations. This dust is carried by airflow across the working face, eventually permeating the entire mining face and downwind chute. When coal dust accumulates to a critical point, it can easily cause major production safety accidents, such as coal dust explosions. Large amounts of floating dust are respirable, posing a significant threat to worker health. Coal dust deposited on production equipment not only accelerates wear but also degrades electrical insulation, potentially causing electrical accidents. Floating coal dust also represents a form of disordered emission loss, resulting in significant economic losses for coal mine production.

[0003] In the existing technology, when dust reduction is performed through the dust reduction system, fixed spray information is always used, and it is impossible to make real-time adjustments according to changes in the environmental information of the comprehensive mining face, resulting in low spray efficiency; at the same time, in the existing methods, the working parameters of the dust reduction system usually rely on experience or manual settings, which are difficult to achieve precise control and cannot be flexibly adjusted according to different working conditions.

[0004] Therefore, there is an urgent need for a method for obtaining spray information for spray dust reduction of fully mechanized mining surfaces. Summary of the Invention

[0005] (1) Technical issues to be resolved

[0006] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present invention provides a method for obtaining spray information for spray dust reduction of dust sources in fully mechanized mining faces, which solves the technical problem in the prior art that the spray information cannot be adjusted according to different situations, resulting in low spray efficiency.

[0007] (2) Technical solution

[0008] In order to achieve the above objectives, the main technical solutions adopted by the present invention include:

[0009] The embodiment of the present invention provides a method for obtaining spray information of dust source spray dust reduction in a fully mechanized mining face, comprising:

[0010] S10, obtaining first environmental information of the current fully mechanized mining face and coal mining machine information;

[0011] The first environmental information includes: dust particle size of the fully-mechanized mining face dust source, dust concentration of the fully-mechanized mining face dust source, fully-mechanized mining face temperature information, and fully-mechanized mining face wind speed information;

[0012] The shearer information includes: real-time location information of the shearer and running direction information of the shearer;

[0013] S20: Inputting the first environmental information into a trained working parameter determination model to obtain working parameter information of the current fully mechanized mining face;

[0014] The working parameter determination model includes: a spray flow determination sub-model, a spray pressure determination sub-model and a spray angle determination sub-model;

[0015] S30. Obtaining spray information for dust reduction on the current fully mechanized mining face according to the working parameter information of the current fully mechanized mining face, the coal mining machine information, and pre-set spray information rules.

[0016] Optionally, the working parameter information includes: spray flow, spray pressure and spray angle of the current fully mechanized mining face.

[0017] Optionally, before S10, the step further includes:

[0018] S00, using a training data set to train the working parameter determination model to obtain a trained working parameter determination model;

[0019] The training data set includes historical first environment information and corresponding historical working parameter information.

[0020] Optionally, the S00 specifically includes:

[0021] Each data in the training data set is input into the working parameter determination model for training until a preset regression loss function corresponding to the working parameter determination model converges, thereby obtaining a trained working parameter determination model.

[0022] Optionally, the S20 specifically includes:

[0023] S21. Inputting the first environmental information into a trained spray flow determination sub-model to obtain the spray flow of the current fully mechanized mining face;

[0024] S22. Input the first environmental information into the trained spray pressure determination sub-model to obtain the spray pressure of the current fully mechanized mining face;

[0025] S23. Input the first environmental information into the trained spray angle determination sub-model to obtain the spray angle of the current fully mechanized mining face.

[0026] Optionally, the S21 specifically includes:

[0027] Input the first environmental information into the following formula to obtain the spray flow rate:

[0028]

[0029] Where Q is the spray flow rate, D pis the dust particle size, C is the dust concentration, T is the temperature, and k1, k2, and k3 are the parameters that need to be adjusted.

[0030] Optionally, the S22 specifically includes:

[0031] Input the first environmental information into the following formula to obtain the spray pressure:

[0032]

[0033] Among them, P w is the spray pressure, D p is the dust particle size, V is the wind speed, V max is the maximum wind speed, T is the temperature, k4 and k5 are the parameters that need to be adjusted.

[0034] Optionally, the S23 specifically includes:

[0035] Input the first environmental information into the following formula to obtain the spray angle:

[0036] θ=arctan(k6·(D p C) 0.5 ),

[0037] Where θ is the spray angle, D p is the dust particle size, C is the dust concentration, and k6 is the parameter that needs to be adjusted.

[0038] Optionally, the S30 specifically includes:

[0039] S31, adjusting the operating parameters of each nozzle according to the operating parameter information;

[0040] S32. Based on the real-time position of the shearer and the running direction information of the shearer, the pre-spray nozzle is turned on at an interval of X frames in front of the shearer drum; the blocking spray nozzle is turned on at an interval of N frames in front of the shearer; the coal placing or filling spray nozzle is turned on at an interval of M frames behind the shearer; and the inter-frame spray nozzle is turned on at an interval of Y frames behind the shearer.

[0041] Optionally, X, Y, M and N are determined according to the operating speed of the coal mining machine.

[0042] (3) Beneficial effects

[0043] The beneficial effects of the present invention are: a method for obtaining spray information of dust source spray dust reduction on a fully mechanized mining face of the present invention adopts the method of inputting the first environmental information into a trained working parameter determination model to obtain the working parameter information of the current fully mechanized mining face; according to the working parameter information of the current fully mechanized mining face, the coal mining machine information and the pre-set spray information rules, the spray information of the current fully mechanized mining face dust reduction is obtained. Compared with the existing technology, it can flexibly adjust the working parameters according to different fully mechanized mining face environmental information, thereby improving the reliability and effectiveness of spray dust reduction. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 The present invention is a flowchart of a method for obtaining dust source spray information in a fully mechanized mining face according to an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to better explain the present invention and facilitate understanding, the present invention is described in detail below through specific implementation methods in conjunction with the accompanying drawings.

[0046] An embodiment of the present invention proposes a method for obtaining spray information of spray dust reduction for dust sources in a fully mechanized mining face. In order to solve the problem that the spray dust removal efficiency and reliability are low due to the inability to adjust the spray information according to different working conditions in the existing method, the working parameters are determined by setting a working parameter determination model through deep learning, and the spray information of the fully mechanized mining face dust reduction is obtained according to the working parameters, coal mining machine information and spray information rules. The working parameters can be flexibly adjusted according to different working conditions, thereby improving the reliability and effectiveness of the spray dust reduction.

[0047] To better understand the above technical solutions, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein. Instead, these embodiments are provided to enable a clearer and more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0048] Specific embodiment description part

[0049] Example 1

[0050] See also Figure 1 The method for obtaining spray information of dust source spraying and dust suppression in a fully mechanized mining face according to this embodiment includes:

[0051] Step S10: Acquire first environmental information and shearer information of the current fully mechanized mining face;

[0052] The first environmental information includes: dust particle size of the fully-mechanized mining face dust source, dust concentration of the fully-mechanized mining face dust source, fully-mechanized mining face temperature information, and fully-mechanized mining face wind speed information;

[0053] The shearer information includes: real-time location information of the shearer and running direction information of the shearer;

[0054] Step S20: input the first environmental information into the trained working parameter determination model to obtain working parameter information of the current fully mechanized mining face;

[0055] The working parameter determination model includes: a spray flow determination sub-model, a spray pressure determination sub-model and a spray angle determination sub-model;

[0056] Step S30: Obtain spray information for dust reduction on the current fully mechanized mining face according to the working parameter information of the current fully mechanized mining face, the coal mining machine information, and pre-set spray information rules.

[0057] In this embodiment, at the underground fully mechanized mining face, the first environmental information, including dust particle size, dust concentration, temperature and wind speed information of the fully mechanized mining face, is obtained in real time through sensors installed on the working face; at the same time, the real-time position and running direction information of the coal mining machine are collected through the positioning system and motion sensors for precise control.

[0058] In the underground environment, equipment and lines involved in electrical control must comply with the requirements of relevant national laws and regulations, and have safety features such as explosion-proof, lightning protection, and waterproof. At the same time, before entering the mine, they must be inspected by professionals for the "Product Certificate", "Coal Mine Product Safety Mark" and safety performance, and obtain a certificate of conformity and a mine entry permit to further ensure safety.

[0059] The spray information acquisition method for dust source spray dust reduction in a fully mechanized mining face of this embodiment not only improves the dust reduction efficiency, but also ensures the safety and economy of the operation, and has important practical significance for improving the working environment of fully mechanized mining faces in coal mines.

[0060] Example 2

[0061] A method for obtaining spray information for dust suppression by spraying dust sources in a fully mechanized mining face according to this embodiment includes:

[0062] Step S10: Acquire first environmental information and shearer information of the current fully mechanized mining face;

[0063] The first environmental information includes: dust particle size of the fully-mechanized mining face dust source, dust concentration of the fully-mechanized mining face dust source, fully-mechanized mining face temperature information, and fully-mechanized mining face wind speed information;

[0064] Coal mining machine information includes: coal mining machine real-time location information and coal mining machine running direction information;

[0065] Step S20: input the first environmental information into the trained working parameter determination model to obtain working parameter information of the current fully mechanized mining face;

[0066] The working parameter determination model includes: a spray flow determination sub-model, a spray pressure determination sub-model and a spray angle determination sub-model;

[0067] Step S30: Obtain the spray information for dust reduction of the current fully mechanized mining face according to the working parameter information of the current fully mechanized mining face, the coal mining machine information and the pre-set spray information rules.

[0068] Optionally, the working parameter information includes: spray flow, spray pressure and spray angle of the current fully mechanized mining face.

[0069] During the specific implementation process, the most suitable spray flow, spray pressure and spray angle are automatically calculated based on the actual collected data to achieve precise control, reduce the need for manual intervention, and improve the level of automation.

[0070] In this embodiment, before step S10, the following steps are also included:

[0071] Step S00: training the working parameter determination model using a training data set to obtain a trained working parameter determination model;

[0072] The training data set is the historical first environment information and the corresponding historical working parameter information.

[0073] Optionally, step S00 specifically includes:

[0074] Each data in the training data set is input into the working parameter determination model for training until the preset regression loss function corresponding to the working parameter determination model converges, thereby obtaining a trained working parameter determination model.

[0075] For example, during model training, the model parameters are randomly initialized, and the model parameters are adjustment factors for each indicator.

[0076] In the specific implementation process, each set of data in the training data set is input into the working parameter determination model in turn. The spray pressure, spray flow rate and spray angle obtained based on the current parameters are used to calculate the difference between the predicted results and the actual known results. The mean square error (MSE) regression loss function is used to evaluate its accuracy. When the regression loss function converges, the training is terminated and the trained adjustment factors are obtained to obtain a working parameter determination model that can accurately predict the spray flow rate, spray pressure and spray angle.

[0077] Optionally, step S20 specifically includes:

[0078] Step S21: input the first environmental information into the trained spray flow determination sub-model to obtain the spray flow of the current fully mechanized mining face;

[0079] Step S22: input the first environmental information into the trained spray pressure determination sub-model to obtain the spray pressure of the current fully mechanized mining face;

[0080] Step S23: Input the first environmental information into the trained spray angle determination sub-model to obtain the spray angle of the current fully mechanized mining face.

[0081] Optionally, step S21 specifically includes:

[0082] Input the first environmental information into the following formula to obtain the spray flow rate:

[0083]

[0084] Where Q is the spray flow rate, D p is the dust particle size, C is the dust concentration, T is the temperature, and k1, k2, and k3 are the parameters that need to be adjusted.

[0085] Optionally, step S22 specifically includes:

[0086] Input the first environmental information into the following formula to obtain the spray pressure:

[0087]

[0088] Among them, P w is the spray pressure, D p is the dust particle size, V is the wind speed, V max is the maximum wind speed, T is the temperature, k4 and k5 are the parameters that need to be adjusted.

[0089] Optionally, step S23 specifically includes:

[0090] Input the first environment information into the following formula to obtain the spray angle:

[0091] θ=arctan(k6·(D p c) 0.5 ),

[0092] Where θ is the spray angle, D p is the dust particle size, C is the dust concentration, and k6 is the parameter that needs to be adjusted.

[0093] For example, assuming the current first environmental information is: dust particle size is 10μm, dust concentration is 5mg / m 3, the temperature of the fully mechanized mining face is 25℃, the wind speed of the fully mechanized mining face is 3m / s, and the maximum wind speed is 5m / s; the model parameters are assumed to be: k1=0.1, k2=0.01, k3=0.001, k4=0.5, k5=0.1, k6=0.05; substituting the above values into the above formula, we can obtain a spray flow rate of 0.0726L / min, a spray pressure of 5.8bar, and a spray angle of 19.5°.

[0094] Through the above calculations, the specific working parameters of the spray system under the current environmental conditions of the fully mechanized mining face are obtained.

[0095] In this embodiment, step S30 specifically includes:

[0096] Step S31: adjusting the operating parameters of each nozzle according to the operating parameter information;

[0097] Step S32: Based on the real-time position of the shearer and the running direction of the shearer, the pre-spray nozzle is turned on at an interval of X frames in front of the shearer drum; the blocking spray nozzle is turned on at an interval of N frames in front of the shearer; the coal discharge or filling spray nozzle is turned on at an interval of M frames behind the shearer; and the inter-frame spray nozzle is turned on at an interval of Y frames behind the shearer.

[0098] In a specific implementation process, X, Y, M, and N are determined according to the operating speed of the coal mining machine.

[0099] Specifically, the spray pressure is set to be greater than 4 MPa based on the on-site requirements of the working surface.

[0100] In this embodiment, it is assumed that 200 hydraulic supports are set up, and the operation direction is from small to large according to the support number. The coal mining machine is currently located at the 59th branch station, and the coal mining machine body is 10 frames long, that is, the coal mining machine body is located between 54 and 63 frames.

[0101] At this time, the pre-spray nozzle is turned on 6 frames in front of the coal mining machine drum, that is, the pre-spray nozzle of substation No. 69 is turned on; the blocking spray nozzle is turned on 15 frames in front and behind the coal mining machine, that is, the blocking spray nozzle of substation No. 78 is turned on; the coal discharge or filling spray nozzle is turned on 2 frames behind the coal mining machine, that is, the coal discharge or filling spray nozzle of substation No. 52 is turned on; the inter-frame spray nozzle is turned on 4 frames behind the coal mining machine, that is, the inter-frame spray nozzle of substation No. 50 is turned on.

[0102] In this embodiment, the nozzles are arranged on the hydraulic support, and the switches of the nozzles are adjusted as the coal mining machine operates.

[0103] In this embodiment, by acquiring the first environmental information of the comprehensive mining face and the real-time position and running direction of the coal mining machine in real time, the spray strategy is dynamically adjusted according to environmental changes, thereby improving the effectiveness of the spray; at the same time, the trained working parameters are used to determine the model, and the most suitable spray flow, spray pressure and spray angle are automatically calculated according to the actual collected data to achieve precise control, reduce the need for manual intervention, and improve the level of automation; this embodiment dynamically adjusts the spray strategy according to environmental changes, thereby reducing unnecessary spray volume, avoiding waste of resources, reducing energy consumption, and also reducing the loss of shutdown caused by excessive dust, thereby improving the economic benefits of the entire mining process.

[0104] In addition, this embodiment integrates coal wall pre-wetting spray, inter-frame spray, coal placement spray, full-section sealing spray, filling spray, etc., and automatically turns on / off the spray nozzles in the areas of coal mining, coal placement, frame moving or filling operations to achieve efficient dust reduction. It can operate automatically without human intervention, and the mist flow coverage range can be adjusted by changing the preset parameters to suppress the generation of dust at the source and enhance the dust reduction effect.

[0105] Example 3

[0106] In this embodiment, the dust source tracking spray dust suppression system includes a main control device, a sub-control device, and a spray module.

[0107] In its implementation, the dust source tracking spray dust suppression system is installed in the fully mechanized mining face underground. The sub-control equipment and spray modules are mounted on hydraulic supports, and the number of spray modules is the same as the number of hydraulic supports. Each spray module is equipped with three nozzles: a pre-spray / drum external spray nozzle, a top coal caving / filling spray nozzle, and a full-section plugging / inter-frame spray nozzle.

[0108] A method for obtaining spray information for dust suppression by spraying dust sources in a fully mechanized mining face according to this embodiment includes:

[0109] The main control device of the dust source tracking spray dust suppression system obtains the primary environmental information of the current fully mechanized mining face and the coal mining machine information;

[0110] The first environmental information includes: dust particle size of the fully-mechanized mining face dust source, dust concentration of the fully-mechanized mining face dust source, fully-mechanized mining face temperature information, and fully-mechanized mining face wind speed information;

[0111] Coal mining machine information includes: coal mining machine real-time location information and coal mining machine running direction information;

[0112] The main control device of the dust source tracking spray dust suppression system inputs the first environmental information into the trained working parameter determination model to obtain the working parameter information of the current fully mechanized mining face;

[0113] The working parameter determination model includes: a spray flow determination sub-model, a spray pressure determination sub-model and a spray angle determination sub-model;

[0114] The main control device of the dust source tracking spray dust reduction system obtains the spray information of the current fully mechanized mining face dust reduction based on the obtained working parameter information, coal mining machine information and pre-set spray information rules.

[0115] After the main control device sets the working parameter information, it sends the spray information to each sub-control device. During operations such as coal mining, lowering and moving frames, and coal filling, the sub-control device automatically opens / closes several strong fog curtains of the nozzle in sequence according to the spray information to achieve efficient dust reduction.

[0116] In the specific implementation, the master control device is the main control box, and the sub-control devices are sub-control boxes. In the dust source tracking spray dust suppression system of this invention, the main control box and each sub-control box are treated as independent entities, communicating and collaborating with other components through the transmission of events and messages. The main control box collects information such as the coal machine's position and hydraulic support's movement, as well as temperature and humidity information. This event-based architecture improves system decoupling, enhances system responsiveness and flexibility, and facilitates the implementation of complex business logic and processes.

[0117] All electrical equipment and wiring in the source-tracking spray dust suppression system comply with national standards and feature explosion-proof, lightning-proof, and waterproof features, ensuring safe operation. Furthermore, all equipment undergoes rigorous inspection and obtains relevant certificates before entering the well, further guaranteeing system reliability and safety.

[0118] The spray information acquisition method of the fully mechanized mining face dust source spray dust suppression of this embodiment can realize intelligent automatic operation without human intervention, effectively prevent dust explosion and pneumoconiosis hazards, and improve working face conditions.

[0119] In the description of the present invention, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.

[0120] In the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," "connect," "fixed," etc. should be understood broadly. For example, they may refer to fixed connection, detachable connection, or integration; mechanical connection or electrical connection; direct connection or indirect connection through an intermediate medium; and internal communication between two components or interaction between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0121] In the present invention, unless otherwise expressly specified or limited, when a first feature is "above" or "below" a second feature, it may mean that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediate medium. Furthermore, when a first feature is "above," "above," or "above" a second feature, it may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is at a higher level than the second feature. When a first feature is "below," "below," or "below" a second feature, it may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is at a lower level than the second feature.

[0122] In the description of this specification, the terms "one embodiment", "some embodiments", "embodiments", "examples", "specific examples" or "some examples" refer to the specific features, structures, materials or characteristics described in conjunction with the embodiment or example and included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and features of different embodiments or examples, unless they are mutually inconsistent.

[0123] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limitations on the present invention. A person skilled in the art may alter, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A method for obtaining spray information of dust source spraying in fully mechanized mining face, characterized in that: include: S10, obtaining first environmental information and shearer information of the current fully mechanized mining face; The first environmental information includes: dust particle size of the fully-mechanized mining face dust source, dust concentration of the fully-mechanized mining face dust source, fully-mechanized mining face temperature information, and fully-mechanized mining face wind speed information; The shearer information includes: real-time location information of the shearer and information on the direction of operation of the shearer; S20: Inputting the first environmental information into a trained working parameter determination model to obtain working parameter information of the current fully mechanized mining face; The working parameter determination model includes: a spray flow determination sub-model, a spray pressure determination sub-model and a spray angle determination sub-model; The spray flow determination sub-model includes: Input the first environmental information into the following formula to obtain the spray flow rate: Where Q is the spray flow rate, D p is the dust particle size, C is the dust concentration, T is the temperature, k1, k2, k3 are the parameters to be adjusted; The spray pressure determination sub-model includes: Input the first environmental information into the following formula to obtain the spray pressure: Among them, P w is the spray pressure, D p is the dust particle size, V is the wind speed, V max is the maximum wind speed, T is the temperature, k4 and k5 are the parameters that need to be adjusted; The spray angle determination sub-model includes: Input the first environmental information into the following formula to obtain the spray angle: <h2 style=";text-align:left;direction:ltr">θ = arctan(k6·(D<h2 style=";text-align:left;direction:ltr"> p <h2 style=";text-align:left;direction:ltr"> C)<h2 style=";text-align:left;direction:ltr"> 0.5 <h2 style=";text-align:left;direction:ltr"> ), Where θ is the spray angle, D p is the dust particle size, C is the dust concentration, and k6 is the parameter that needs to be adjusted; S30. Obtaining spray information for dust reduction on the current fully mechanized mining face according to the working parameter information of the current fully mechanized mining face, the coal mining machine information, and pre-set spray information rules.

2. The method for obtaining spray information of dust source spraying and dust suppression in fully mechanized mining face according to claim 1 is characterized in that: The working parameter information includes: the spray flow, spray pressure and spray angle of the current fully mechanized mining face.

3. The method for obtaining spray information of dust source spraying and dust suppression in fully mechanized mining face according to claim 1 is characterized in that: The S10 and above also include: S00, using a training data set to train the working parameter determination model to obtain a trained working parameter determination model; The training data set includes historical first environment information and corresponding historical working parameter information.

4. The method for obtaining spray information of dust source spraying and dust suppression in fully mechanized mining face according to claim 3 is characterized in that: The S00 specifically includes: Each data in the training data set is input into the working parameter determination model for training until a preset regression loss function corresponding to the working parameter determination model converges, thereby obtaining a trained working parameter determination model.

5. The method for obtaining spray information of dust source spraying and dust suppression in fully mechanized mining face according to claim 1 is characterized in that: The S20 specifically includes: S21. Inputting the first environmental information into a trained spray flow determination sub-model to obtain the spray flow of the current fully mechanized mining face; S22. Input the first environmental information into the trained spray pressure determination sub-model to obtain the spray pressure of the current fully mechanized mining face; S23. Input the first environmental information into the trained spray angle determination sub-model to obtain the spray angle of the current fully mechanized mining face.

6. The method for obtaining spray information of dust source spraying and dust suppression in fully mechanized mining face according to claim 1 is characterized in that: The S30 specifically includes: S31, adjusting the operating parameters of each nozzle according to the operating parameter information; S32. Based on the real-time position of the shearer and the running direction information of the shearer, the pre-spray nozzle is turned on at an interval of X frames in front of the shearer drum; the blocking spray nozzle is turned on at an interval of N frames in front of the shearer; the coal placing or filling spray nozzle is turned on at an interval of M frames behind the shearer; and the inter-frame spray nozzle is turned on at an interval of Y frames behind the shearer.

7. The method for obtaining spray information of dust source spraying and dust suppression in fully mechanized mining face according to claim 6 is characterized in that: The X, Y, M and N are determined according to the running speed of the coal mining machine.

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