Spraying information acquisition method for fully-mechanized face dust source spraying and dust falling
By obtaining the environmental information of the comprehensive mining surface and coal mining machine information, using the trained working parameters to determine the model, and dynamically adjust the spray parameters, the problem of inefficient spraying in the existing technology is solved, and the reliability and effectiveness of the dust reduction system are improved.
Patent Information
- Application Number
- CN202411554238.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-01
- Publication Date
- 2025-02-14
- Estimated Expiration
- 2044-11-01
AI Technical Summary
In the prior art, dust reduction systems cannot be adjusted in real time according to changes in the environmental information of the comprehensive mining surface, resulting in low spray efficiency.
By obtaining the environmental information and coal mining machine information of the current comprehensive mining surface, input the trained working parameters to determine the model, obtain the working parameter information of the current comprehensive mining surface, and obtain the current based on this information and pre-set spray information rules. Spray information on dust reduction on the comprehensive mining surface.
It realizes flexible adjustment of working parameters based on the environmental information of different comprehensive mining surfaces, and improves the reliability and effectiveness of spray dust reduction.
Smart Images

Figure CN119442972A_ABST
Abstract
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 improvement of the mechanization degree of coal mining technology, a large amount of dust generated during coal mining work spreads in the working face with the air flow, and finally diffuses to the entire coal mining working face and the downwind chute. The high concentration of coal dust reaches a critical point, which is very likely to cause major production safety accidents such as coal dust explosions; a large amount of floating dust is respirable dust, which can easily pose a huge threat to the health of workers; coal dust scattered on production equipment not only accelerates equipment wear, but also reduces the level of electrical insulation and causes electrical accidents; coal dust floating is also a disorderly emission loss, which will bring certain economic losses to coal mine production.
[0003] In the prior art, 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 dust sources in fully mechanized mining areas. 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 dust source spray dust reduction in a comprehensive mining face, 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] (II) Technical solution
[0008] In order to achieve the above object, 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 coal mining machine information includes: coal mining machine real-time position information and coal mining machine running direction information;
[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 the trained spray flow determination sub-model to obtain the spray flow of the current fully mechanized mining face;
[0024] S22, inputting 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 working parameters of each nozzle according to the working parameter information;
[0040] S32. According to the real-time position of the coal mining machine and the running direction information of the coal mining machine, the pre-spray nozzle is turned on at an interval of X frames in front of the coal mining machine drum; the blocking spray nozzle is turned on at an interval of N frames in front of the coal mining machine; the coal placing or filling spray nozzle is turned on at an interval of M behind the coal mining machine; and the inter-frame spray nozzle is turned on at an interval of Y frames behind the coal mining machine.
[0041] Optionally, X, Y, M and N are determined according to the operating speed of the coal mining machine.
[0042] (III) Beneficial effects
[0043] The beneficial effects of the present invention are as follows: a method for obtaining spray information of dust source spray dust reduction in 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; based on the working parameter information of the current fully mechanized mining face, coal mining machine information and pre-set spray information rules, the spray information of dust reduction on the current fully mechanized mining face is obtained. Compared with the prior art, the method 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 on a fully mechanized mining surface 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 modes in conjunction with the accompanying drawings.
[0046] A method for obtaining spray information of dust source spray dust reduction on a fully-mechanized mining face proposed in an embodiment of the present invention is designed to solve the problem that the spray information cannot be adjusted according to different working conditions in the existing method, resulting in low efficiency and low reliability of spray dust removal. The working parameters are determined by setting a working parameter determination model after deep learning, and the spray information of dust reduction on the fully-mechanized mining face 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 spray dust reduction.
[0047] In order to better understand the above technical solution, 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. On the contrary, 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 , a method for obtaining spray information of dust source spraying and dust reduction in a fully mechanized mining face of this embodiment includes:
[0051] Step S10, obtaining first environmental information and coal mining machine 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 coal mining machine information includes: coal mining machine real-time position information and coal mining machine running direction information;
[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, obtaining 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.
[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 acquired 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 is 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, professionals must check the "product certificate", "coal mine product safety mark" and safety performance, and obtain a certificate and a mine entry permit to further ensure safety.
[0059] The spray information acquisition method for dust reduction by spraying dust source 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 of dust source spraying and dust reduction in a fully mechanized mining face in this embodiment includes:
[0062] Step S10, obtaining first environmental information and coal mining machine 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] The coal mining machine information includes: the coal mining machine real-time location information and the 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: acquiring 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 comprehensive mining face.
[0069] In 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 a 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 a preset regression loss function corresponding to the working parameter determination model converges, thereby obtaining a trained working parameter determination model.
[0075] For example, when training a model, 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 calculated. The difference between the predicted results and the actual known results is calculated, and 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, inputting 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, inputting 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 environment 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 environment 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, assume that the current first environmental information is: the dust particle size is 10 μm and the dust concentration is 5 mg / 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 formulas, we can get 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 working parameters of each nozzle according to the working parameter information;
[0097] Step S32, according to the real-time position of the coal mining machine and the running direction information of the coal mining machine, open the pre-spray nozzle at the interval X frames in front of the coal mining machine drum; open the blocking spray nozzle at the interval N frames in front of the coal mining machine; open the coal placing or filling spray nozzle at the interval M behind the coal mining machine; open the inter-frame spray nozzle at the interval Y frames behind the coal mining machine.
[0098] In the specific implementation process, X, Y, M and N are determined according to the running speed of the coal mining machine.
[0099] Specifically, the spray pressure is set to be greater than 4MPa 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 operating direction is from small to large according to the support number. The coal mining machine is currently located at branch station No. 59, 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 before and after the coal mining machine, that is, the blocking spray nozzle of substation No. 78 is turned on; the coal placing or filling spray nozzle is turned on 2 frames behind the coal mining machine, that is, the coal placing 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 runs.
[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 shutdown losses 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 for efficient dust reduction in areas of coal mining, coal placement, frame moving or filling operations. It can operate automatically without human intervention, and can adjust the mist coverage range by changing preset parameters to suppress dust generation 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 the specific implementation process, the dust source tracking spray dust suppression system is set up in the underground fully mechanized mining face, and the sub-control equipment and spray modules are set on the 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, namely pre-spray / drum external spray nozzle, top coal caving / filling spray nozzle and full-section plugging / inter-frame spray nozzle.
[0108] A method for obtaining spray information of dust source spraying and dust reduction in a fully mechanized mining face in this embodiment includes:
[0109] The main control device of the dust source tracking spray dust suppression system obtains the first 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] The coal mining machine information includes: the coal mining machine real-time location information and the 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 coal mining, frame lowering and shifting, coal placing and filling, etc., 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 process, the main control device is the main control box, and the sub-control device is the sub-control box. The main control box and each sub-control box in the dust source tracking spray dust suppression system of the present invention are regarded as an independent individual, and communicate and cooperate with other components through the transmission of events and messages. The main control box collects information such as the position of the coal machine, the action of the hydraulic support, and obtains temperature information, humidity information, etc. Through the above-mentioned event-based architecture, the system's decoupling degree is improved, the system's responsiveness and flexibility are enhanced, and it is easy to implement complex business logic and processes.
[0117] All electrical equipment and lines in the dust source tracking spray dust suppression system meet national standards and have explosion-proof, lightning-proof, and waterproof features to ensure the safe operation of the system. In addition, all equipment has been strictly inspected before entering the well and has obtained relevant certificates of conformity, further ensuring the reliability and safety of the system.
[0118] The spray information acquisition method of the fully mechanized mining face dust source spray dust reduction of the present embodiment can realize intelligent and automatic operation without human intervention, can 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 as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.
[0120] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0121] In the present invention, unless otherwise clearly specified and limited, when a first feature is “on” or “below” a second feature, it may be 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. Moreover, when a first feature is “above”, “above” or “above” a second feature, it may be that the first feature is directly above or obliquely above the second feature, or it may simply mean that the first feature is higher in level than the second feature. When a first feature is “below”, “below” or “below” a second feature, it may be that the first feature is directly below or obliquely below the second feature, or it may simply mean that the first feature is lower in level than the second feature.
[0122] In the description of this specification, the description of the terms "one embodiment", "some embodiments", "embodiment", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations 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 the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.
[0123] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of 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 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; The coal mining machine information includes: coal mining machine real-time position information and coal mining machine running direction information; 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; 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 reduction 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 reduction 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 reduction in fully mechanized mining face according to claim 4 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 reduction in fully mechanized mining face according to claim 1, characterized in that: The S20 specifically includes: S21, inputting the first environmental information into the trained spray flow determination sub-model to obtain the spray flow of the current fully mechanized mining face; S22, inputting 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 reduction in fully mechanized mining face according to claim 5 is characterized in that: The S21 specifically 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, and k1, k2, and k3 are the parameters that need to be adjusted.
7. The method for obtaining spray information of dust source spraying and dust reduction in fully mechanized mining face according to claim 5 is characterized in that: The S22 specifically 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.
8. The method for obtaining spray information of dust source spraying and dust reduction in fully mechanized mining face according to claim 5, characterized in that: The S23 specifically 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.
9. The method for obtaining spray information of dust source spraying and dust reduction in fully mechanized mining face according to claim 1, characterized in that: The S30 specifically includes: S31, adjusting the working parameters of each nozzle according to the working parameter information; S32. According to the real-time position of the coal mining machine and the running direction information of the coal mining machine, the pre-spray nozzle is turned on at an interval of X frames in front of the coal mining machine drum; the blocking spray nozzle is turned on at an interval of N frames in front of the coal mining machine; the coal placing or filling spray nozzle is turned on at an interval of M behind the coal mining machine; and the inter-frame spray nozzle is turned on at an interval of Y frames behind the coal mining machine.
10. The method for obtaining spray information of dust source spraying and dust reduction in fully mechanized mining face according to claim 9, 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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