Coal yard digital monitoring method and system

Abstract

The invention provides a coal yard digital monitoring method and system, and relates to the technical field of coal yard monitoring, and the method comprises the steps: obtaining the actual parameter information and real-time monitoring data of a coal yard, and the real-time monitoring data comprises environment data, operation data and dust concentration data; constructing a three-dimensional digital model of the coal yard through the actual parameter information; performing coal yard dust simulation based on the three-dimensional digital model and the real-time monitoring data to obtain a coal yard dust simulation result; and constructing a digital twinborn body of the coal yard through the coal yard dust simulation result and the three-dimensional digital model, and optimizing an operation plan of the coal yard through the digital twinborn body. The problem that real-time monitoring, dynamic simulation and accurate prediction of coal yard dust pollution are difficult to realize is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of coal yard monitoring, and in particular to a coal yard digital monitoring method and system. Background Art

[0002] Coal yards, as crucial coal storage and transportation facilities, are a vital component of the modern energy industry. During daily operations, coal stacking, loading, unloading, and transportation generate large amounts of dust, which not only severely pollutes the surrounding environment but also poses long-term health risks to workers.

[0003] Traditional coal yard monitoring mainly relies on manual inspections and on-site measurements. Although it can provide some monitoring data, due to the complex working environment of the coal yard, large fluctuations in dust concentration, and limited monitoring data collection, it is difficult to accurately achieve real-time monitoring and prediction of dust diffusion trajectories and concentration changes, and cannot provide support for operation optimization.

[0004] Therefore, how to achieve real-time monitoring, dynamic simulation and accurate prediction of coal yard dust pollution has become a difficult problem that needs to be solved urgently in coal yard monitoring. Summary of the Invention

[0005] The purpose of the present invention is to provide a coal yard digital monitoring method and system to improve the above problems. In order to achieve the above purpose, the technical solutions adopted by the present invention are as follows:

[0006] In a first aspect, the present application provides a method for digitally monitoring a coal yard, comprising:

[0007] Acquire actual parameter information and real-time monitoring data of the coal yard, including environmental data, operation data, and dust concentration data;

[0008] Construct a three-dimensional digital model of the coal yard using actual parameter information;

[0009] Conduct coal yard dust simulation based on the three-dimensional digital model and real-time monitoring data to obtain the coal yard dust simulation results;

[0010] A digital twin of the coal yard is constructed through the dust simulation results and three-dimensional digital model of the coal yard, and the operation plan of the coal yard is optimized through the digital twin.

[0011] In a second aspect, the present application also provides a coal yard digital monitoring system, comprising:

[0012] An acquisition unit, configured to acquire actual parameter information and real-time monitoring data of a coal yard, wherein the real-time monitoring data includes environmental data, operation data, and dust concentration data;

[0013] A construction unit for constructing a three-dimensional digital model of a coal yard through actual parameter information;

[0014] A simulation unit for performing coal yard dust simulation based on the three-dimensional digital model and real-time monitoring data to obtain a coal yard dust simulation result;

[0015] An optimization unit for constructing a digital twin of the coal yard through the coal yard dust simulation result and the three-dimensional digital model, and optimizing the operation plan of the coal yard through the digital twin.

[0016] The beneficial effects of the present invention are as follows: By monitoring multi-source data and combining environmental data, operation data, and dust concentration data, the present invention realizes the comprehensive monitoring of coal yard dust. By constructing a three-dimensional digital model of the coal yard, the layout of the coal yard, the shape of the coal pile, and the distribution of equipment are accurately expressed, providing a high-precision basis for dust simulation. At the same time, a dust diffusion model is established, and the Lagrangian particle tracking method is used to predict the dust trajectory, thereby improving the accuracy of dust pollution prediction. And through the digital twin, the visualization, dynamic monitoring and early warning of dust concentration and the optimization of the operation plan are realized, reducing dust pollution, improving the environmental protection management level, so the scientificity and accuracy of coal yard dust control are improved, the environmental pollution of the coal yard is reduced, and the operation safety of the coal yard is improved.

[0017] Other features and advantages of the present invention will be described in the subsequent specification, and part of them will become obvious from the specification, or be understood by implementing the embodiments of the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in the written specification, claims, and drawings. Description of the Drawings

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required in the embodiments. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0019] Figure 1 It is a schematic flow chart of the coal yard digital monitoring method described in the embodiments of the present invention;

[0020] Figure 2 It is a schematic structural diagram of the coal yard digital monitoring system described in the embodiments of the present invention. Detailed Embodiments

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. The components of the embodiments of the present invention usually described and illustrated in the accompanying drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0022] It should be noted that similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are only used for descriptive distinction and cannot be construed as indicating or implying relative importance.

[0023] Embodiment 1:

[0024] This embodiment provides a method for digital monitoring of a coal yard.

[0025] See Figure 1 , which shows that this method includes step S100, step S200, step S300, and step S400.

[0026] Step S100: Obtain the actual parameter information and real-time monitoring data of the coal yard, where the real-time monitoring data includes environmental data, operation data, and dust concentration data;

[0027] In this embodiment, the actual parameter information includes coal yard layout data, coal pile data, equipment data, and terrain data, etc.

[0028] The coal yard layout data is the overall structure of the coal yard, including the coal yard boundary, transportation roads, operation areas, and protection facilities, etc. Among them, the coal yard boundary includes the occupied area and field division of the coal yard, the transportation roads include the internal transportation routes, entrances and exits, and loading and unloading areas, the operation areas include the coal pile storage areas, equipment operation areas, and dust monitoring stations, etc., and the protection facilities include windbreak and dust suppression nets, windbreak walls, and spray systems, etc. When obtaining the coal yard layout data, high-precision aerial images and three-dimensional point cloud data can be obtained by drones, or the key position coordinates of the coal yard can be measured using GPS, and a digital map can be constructed in combination with the GIS system.

[0029] The coal pile data includes the shape and storage information of the coal pile, specifically including the coal pile location, the geometric shape of the coal pile, and the coal properties. The coal pile data obtains the high-precision three-dimensional point cloud data of the coal pile through lidar scanning, calculates the volume and shape, and combines the loading and unloading records and the inventory management system to obtain the dynamically updated data of the coal pile.

[0030] The equipment data includes fixed equipment and mobile equipment, such as loading and unloading equipment, dust prevention equipment, monitoring equipment, and vehicles such as loaders, trucks, and bulldozers. Install GPS and sensors on the mobile equipment to obtain the location and operating status, and at the same time, the operating status of the fixed equipment in the coal yard can be retrieved. The terrain data is the topographic and geomorphic data of the coal yard, which can be obtained through remote sensing, lidar mapping, GIS, or drone mapping.

[0031] At the same time, a variety of different sensors are arranged in the coal yard to obtain environmental data such as wind speed and wind direction in different areas of the coal yard, and through the sensors on the equipment, the data of loading and unloading operations and vehicle driving are obtained, and the coal pile data is updated through the operation time to obtain the operation data, and a number of sensors are arranged to obtain the dust concentration data.

[0032] Step S200: Construct a three-dimensional digital model of the coal yard through the actual parameter information;

[0033] The step S200 includes:

[0034] Step S201: Structure the actual parameter information to obtain structured information, where the structured information includes the coal yard layout information, coal pile information, equipment information, and terrain information;

[0035] Step S202: Construct a coal yard basic model through the coal yard layout information and terrain information, and construct a coal pile model and an equipment model according to the coal pile information and equipment information;

[0036] Step S203: Couple the coal pile model, the equipment model, and the coal yard basic model to obtain a three-dimensional digital model.

[0037] Step S300: Conduct coal yard dust simulation based on the three-dimensional digital model and real-time monitoring data to obtain the coal yard dust simulation result;

[0038] The step S300 includes:

[0039] Step S301: Construct a dust diffusion model based on the convection process, diffusion process, and sedimentation process of dust;

[0040] In this embodiment, the main influencing factors of dust diffusion include the convection process, the diffusion process, and the sedimentation process. Among them, in the convection process, the wind speed drives the dust to move with the air flow; in the diffusion process, the dust is dispersed in the air under the action of turbulence and molecular diffusion; in the sedimentation process, the dust particles settle to the ground due to gravity.

[0041] The step S301 includes:

[0042] Step A100: Calculate the dust source intensity through the coal handling source intensity, the wind erosion source intensity, and the vehicle dust source intensity;

[0043] In this embodiment, since the existing methods in coal yard dust control and monitoring usually focus on static environmental analysis and conventional dust diffusion models, but rarely fully consider the impact of actual operation activities on dust generation and diffusion. During the actual operation process, such as coal handling, vehicle driving, wind erosion, etc., the intensity and distribution of the dust source will change with time, environmental conditions, and operation methods. For example, different handling methods will release different amounts of dust, and the speed, weight, and driving path of the vehicle will all affect the intensity of the dust source. These dynamic factors are often not fully considered in traditional dust simulations.

[0044] Therefore, in this step, the coal handling source intensity and the vehicle dust source intensity are introduced to illustrate the impact of the operation process, and the dust source intensity is used to represent the rate of dust release in the coal yard, and the sources include coal handling, wind erosion, and vehicle dust.

[0045] The step A100 includes:

[0046] Step A101: Calculate the coal handling source intensity according to the duration of the coal handling process, the quality of the coal, and the release coefficient;

[0047] In this embodiment, when coal is transferred from one location to another, such as during handling and dumping, a large amount of dust will be generated. Therefore, the coal handling source intensity is constructed, and the activity coefficient is used to represent the impact of the handling method on dust release.

[0048] Step A102: Calculate the wind erosion source intensity through the interaction between the wind speed and the particles on the surface of the coal pile;

[0049] In this embodiment, the particles on the surface of the coal pile are blown up by the wind force to form suspended dust. Therefore, the wind erosion has a great impact on dust release. However, the wind speed varies greatly in different time periods, seasons, and even different areas of the coal yard. The existing technologies usually estimate the wind erosion source intensity only with a fixed wind speed or an approximate normal wind speed. In actual operation, the volatility of the wind speed is closely related to factors such as the exposure state of the coal pile.

[0050] Step A103: Calculate the vehicle dust emission source intensity based on the weight, speed, and driving section of the vehicle during operation;

[0051] In this embodiment, when the vehicle travels in the coal yard, dust is generated due to the rolling of the wheels and the disturbance of the air flow. Therefore, it is necessary to obtain the vehicle data during operation.

[0052] Step A104: Obtain the dust source intensity from the coal handling source intensity, wind erosion source intensity, and vehicle dust emission source intensity.

[0053] In this step, the calculation formula for the dust source intensity is:

[0054] S = S coal + S wind + S traffic

[0055] S coal = β coal · M coal · f a

[0056]

[0057] S traffic = β traffic · M vehicle · V vehicle · L road

[0058] In the formula, S represents the dust source intensity, S coal represents the coal handling source intensity, S wind represents the wind erosion source intensity, S traffic represents the vehicle dust emission source intensity, β coal represents the dust release coefficient during coal handling, M coal represents the mass of coal handled per unit time, f a represents the activity coefficient, β wind represents the wind erosion coefficient, V wind represents the wind speed, A represents the exposed area of the coal pile, β traffic represents the dust emission coefficient, M vehicle represents the vehicle mass, V vehicle represents the vehicle speed, L road represents the length of the vehicle driving section.

[0059] In this embodiment, the dust levels and diffusion characteristics in different areas of the coal yard may vary significantly due to operation activities. For example, during the process of coal loading, unloading, and transportation, the dust concentration near the coal pile is often high, while the dust concentration far from the operation area is low. The prior art usually takes the entire coal yard as the research object, ignoring the change of dust concentration in local areas during the operation process, and it is impossible to achieve refined management. Therefore, in this step, by obtaining the dust source intensity of each area, the change of dust concentration in local areas during the operation process is considered.

[0060] Step A200: Calculate the sedimentation rate of dust particles through the particle size distribution of dust and Stokes' law;

[0061] Step A300: Construct a dust diffusion model through dust concentration, wind speed vector, diffusion coefficient, sedimentation rate, and dust source intensity.

[0062] In this step, the formula of the dust diffusion model is:

[0063]

[0064] In the formula, C represents the dust concentration, u represents the wind speed vector, represents the gradient operator, D represents the diffusion coefficient, D turb represents the turbulent diffusion coefficient, v s represents the sedimentation rate of dust particles, S represents the dust source intensity, r represents the radius of dust particles, ρ p represents the density of dust particles, ρ a represents the air density, g represents the acceleration due to gravity, and μ represents the dynamic viscosity of air.

[0065] In this embodiment, through the real-time monitoring data of multiple areas, the dust concentration at each position, as well as the corresponding dust source intensity, wind speed vector and other data are obtained to construct a dust diffusion model. Among them, in the dust diffusion model, describes the change of dust concentration over time, represents the convective transport of dust driven by the wind field, while represents the diffusion effect of dust, v s ·C represents the sedimentation process of dust, and S represents the source of dust.

[0066] Step S302: Construct a dust trajectory prediction model based on the sedimentation rate of dust particles, wind speed vector, and Lagrangian particle tracking method;

[0067] In this embodiment, the dust trajectory prediction model is specifically:

[0068] x(t + Δt) = x(t) + u·t

[0069] y(t + Δt) = y(t) + v·Δt

[0070] z(t + Δt) = z(t) + w·Δt - v s ·Δt

[0071] Wherein, x(t + Δt), y(t + Δt) and z(t + Δt) respectively represent the abscissa, ordinate and vertical coordinate of the dust particle at time t + Δt, x(t), y(t) and z(t) respectively represent the abscissa, ordinate and vertical coordinate of the dust particle at time t, Δt represents the time step, and u, v and w respectively represent the wind speed vector components in the x-axis direction, y-axis direction and z-axis direction, and v s represents the sedimentation rate of the dust particle. Among them, Δt actually represents the time interval experienced each time the position of the dust particle is updated in the numerical simulation, which determines the time resolution of the simulated particle movement.

[0072] Step S303: Perform mesh division on the three-dimensional digital model, and embed the dust diffusion model and the dust trajectory prediction model in the mesh of the three-dimensional digital model;

[0073] In this embodiment, the coal yard is a three-dimensional complex environment, and the wind speed and dust concentration vary differently at different heights and different regions. The dust diffusion model is a continuous partial differential equation, which needs to be discretized into a finite mesh for calculation.

[0074] Therefore, taking the three-dimensional digital model as the boundary condition, defining the calculation domain of dust diffusion, and performing volume division by the finite volume method, coupling the dust diffusion model and the dust trajectory prediction model into the divided three-dimensional digital model. At this time, the obtained three-dimensional digital model is actually a finite volume numerical model. At this time, the three-dimensional digital model not only contains the original geometric information, but also combines the CFD numerical calculation ability, and has the function of calculating the dust concentration distribution, diffusion trajectory and sedimentation area in real time.

[0075] Step S304: Input the real-time monitoring data into the three-dimensional digital model for solution to obtain the coal yard dust simulation results, where the coal yard dust simulation results include the dust concentration distribution, dust diffusion trajectory and dust sedimentation area of the coal yard.

[0076] The step S304 includes:

[0077] Step B100: Initialize particles according to the dust source intensity to obtain the initial particles at each predicted time step;

[0078] In this embodiment, the dust source intensity of each region is obtained through real-time monitoring data, and the corresponding number of initial particles is released in the corresponding grid region according to the dust source intensity. Each particle represents a dust particle.

[0079] Step B200: Obtain the dust diffusion trajectory through real-time monitoring data, initial particles, and the dust trajectory prediction model;

[0080] Step B300: Obtain the local turbulence intensity in the 3D digital model grid through the dust diffusion trajectory, and update the turbulent diffusion coefficient through the local turbulence intensity;

[0081] In this embodiment, when the local turbulence intensity is greater, the turbulent diffusion coefficient is greater, which means that the diffusion of dust will be enhanced and the concentration distribution will be more uniform. When the local turbulence intensity is smaller, the turbulent diffusion coefficient is also smaller, the dust diffusion becomes weaker, and the particles may settle more easily.

[0082] Therefore, count the number of particles in the grid according to the dust diffusion trajectory, calculate the local turbulence intensity, and then update the turbulent diffusion coefficient through the local turbulence intensity. Specifically:

[0083] D turb = C t ·I·U·L

[0084]

[0085] In the formula, D turb represents the turbulent diffusion coefficient, C t represents the empirical constant, I represents the local turbulence intensity in the grid, U represents the average flow velocity in the grid, L represents the grid size, N p represents the number of particles in the grid, θ0 ′ represents the initial turbulent pulsation velocity, k p represents the particle influence coefficient, N r represents the reference particle number.

[0086] Step B400: Solve according to the real-time monitoring data, turbulent diffusion coefficient, and dust diffusion model to obtain the dust concentration distribution at each predicted time step;

[0087] Step B500: Obtain the settlement position through the dust diffusion trajectory to obtain the dust settlement area.

[0088] In this embodiment, through the dust diffusion trajectory, when the dust particles reach the ground, the landing position of the dust particles is obtained, and the settled particles are counted to obtain the dust settlement area.

[0089] Step S400: Construct a digital twin of the coal yard through the coal yard dust simulation results and the 3D digital model, and optimize the operation plan of the coal yard through the digital twin.

[0090] The step S400 includes:

[0091] Step S401: Visualize the simulation results of coal yard dust based on the 3D digital model to obtain the digital twin of the coal yard;

[0092] Step S402: Monitor the dust levels in different areas of the coal yard through real-time monitoring data and the digital twin, and issue dust warnings based on the dust concentration distribution in the future time period;

[0093] Step S403: Optimize the operation plan of the coal yard according to the dust warning of the coal yard.

[0094] In this embodiment, the digital twin visualizes the dust concentration distribution. Using visualization technology, the dust concentration distribution of the coal yard is presented in different colors or graphic forms, and the dust concentration is rendered according to different levels to show the pollution degree of different areas. At the same time, the diffusion trajectory is visualized. By visualizing the flow path of dust particles or trajectories, it helps the staff intuitively understand the diffusion situation of dust in the coal yard, and the sedimentation area information is displayed through the digital twin, marking the hot spots of dust sedimentation in the coal yard for timely environmental monitoring and cleaning.

[0095] At the same time, the update time interval can be set according to the actual situation. The digital twin is updated in real time through real-time monitoring data and the update time interval to display the real-time situation of the coal yard, which can show the dust level in the coal yard in two dimensions of space and time, predict the dust concentration in a certain future time period, optimize the operation and prevention and control measures of the coal yard, and issue warnings based on the set dust concentration threshold. If the dust concentration in some areas is about to exceed the standard, a warning is issued through the digital twin. And the operation plan can be adjusted according to the digital twin, reducing the operation activities with high dust generation (such as coal loading, unloading, transportation, etc.), or changing the operation time or method to avoid high dust concentration periods, and at the same time adopting dust reduction and other measures to control the dust level of the coal yard.

[0096] In summary, the present invention is based on the multi-source data of the coal yard, combines environmental data, operation data and dust concentration data to realize the all-round and multi-dimensional monitoring of the coal yard. Compared with the traditional manual inspection or single sensor monitoring method, the data collection is more comprehensive and accurate, improving the perception ability of the operation state of the coal yard and providing reliable data support for subsequent analysis.

[0097] Secondly, by constructing a 3D digital model of the coal yard, information such as the layout of the coal yard, the shape of coal piles, and the distribution of equipment is accurately represented. Through the coupling of coal piles, equipment and the basic model, a high-precision 3D digital scene is formed, providing a basis for subsequent dust diffusion simulation, avoiding the limitations of traditional coal yard monitoring relying on two-dimensional data, improving the spatial expression ability, and making the coal yard management more intuitive.

[0098] Meanwhile, through dust diffusion modeling and simulation analysis, based on the convection, diffusion, and sedimentation processes of dust, the present invention establishes a dust diffusion model and uses the Lagrangian particle tracking method to predict dust trajectories. By driving the simulation process with real-time monitoring data, the concentration distribution, diffusion path, and sedimentation area of dust in the coal yard can be dynamically solved. This simulation method is more scientific and accurate than traditional empirical estimation, improving the accuracy of dust pollution prediction.

[0099] In addition, the present invention also constructs a digital twin of the coal yard. Based on real-time monitoring data and dust simulation results, it realizes the visualization and dynamic monitoring of coal yard dust concentration, and conducts dust early warning based on the dust concentration distribution in future time periods. Combined with the function of optimizing the operation plan, it can reduce the operation intensity in areas with high dust concentration or optimize the sprinkler dust suppression measures, thereby reducing coal yard dust pollution and improving the environmental protection management level. Through digital and intelligent means, it realizes the integration of coal yard dust monitoring, simulation, prediction, and optimized scheduling, improves the scientificity and accuracy of dust control, reduces environmental pollution, enhances operation safety, and provides technical support for the green development of the coal industry.

[0100] Embodiment 2:

[0101] As Figure 2 shown, this embodiment provides a digital monitoring system for a coal yard, and the system includes:

[0102] An acquisition unit for acquiring the actual parameter information and real-time monitoring data of the coal yard, where the real-time monitoring data includes environmental data, operation data, and dust concentration data;

[0103] A construction unit for constructing a three-dimensional digital model of the coal yard through the actual parameter information;

[0104] A simulation unit for performing coal yard dust simulation based on the three-dimensional digital model and real-time monitoring data to obtain coal yard dust simulation results;

[0105] An optimization unit for constructing a digital twin of the coal yard through the coal yard dust simulation results and the three-dimensional digital model, and optimizing the operation plan of the coal yard through the digital twin.

[0106] It should be noted that regarding the system in the above embodiments, the specific manners in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0107] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

[0108] As described above, it is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A digital monitoring method for a coal yard, characterized in that, Including: Obtain the actual parameter information and real-time monitoring data of the coal yard, where the real-time monitoring data includes environmental data, operation data, and dust concentration data; Construct a three-dimensional digital model of the coal yard through the actual parameter information; Conduct coal yard dust simulation based on the three-dimensional digital model and real-time monitoring data to obtain the coal yard dust simulation results; Construct a digital twin of the coal yard through the coal yard dust simulation results and the three-dimensional digital model, and optimize the operation plan of the coal yard through the digital twin.

2. The coal yard digital monitoring method according to claim 1, wherein , The constructing a three-dimensional digital model of the coal yard through the actual parameter information includes: Structure the actual parameter information to obtain structured information, where the structured information includes coal yard layout information, coal pile information, equipment information, and terrain information; Construct a coal yard basic model through the coal yard layout information and terrain information, and construct a coal pile model and an equipment model according to the coal pile information and equipment information; Couple the coal pile model, the equipment model, and the coal yard basic model to obtain a three-dimensional digital model.

3. The digital monitoring method for coal yard according to claim 1, wherein , The conducting coal yard dust simulation based on the three-dimensional digital model and real-time monitoring data to obtain the coal yard dust simulation results includes: Construct a dust diffusion model based on the convection process, diffusion process, and sedimentation process of dust; Construct a dust trajectory prediction model based on the sedimentation rate of dust particles, wind speed vector, and Lagrangian particle tracking method; Perform mesh division on the three-dimensional digital model, and embed the dust diffusion model and the dust trajectory prediction model in the mesh of the three-dimensional digital model; Input the real-time monitoring data into the three-dimensional digital model for solution to obtain the coal yard dust simulation results, where the coal yard dust simulation results include the dust concentration distribution, dust diffusion trajectory, and dust sedimentation area of the coal yard.

4. The coal yard digital monitoring method according to claim 3, wherein , The constructing a dust diffusion model based on the convection process, diffusion process, and sedimentation process of dust includes: Calculate the dust source intensity through the coal handling source intensity, wind erosion source intensity, and vehicle dust source intensity; Calculate the sedimentation rate of dust particles through the particle size distribution of dust and Stokes' law; Construct a dust diffusion model through the dust concentration, wind speed vector, diffusion coefficient, sedimentation rate, and dust source intensity.

5. The coal yard digital monitoring method according to claim 4, wherein , The calculating the dust source intensity through the coal handling source intensity, wind erosion source intensity, and vehicle dust source intensity includes: Calculate the coal handling source intensity according to the duration of the coal handling process, the quality of coal, and the release coefficient; Calculate the wind erosion source intensity through the interaction between the wind speed and the particles on the surface of the coal pile; Calculate the vehicle dust source intensity through the weight, vehicle speed, and driving section of the vehicle during the operation process; Obtain the dust source intensity through the coal handling source intensity, wind erosion source intensity, and vehicle dust source intensity.

6. The coal yard digital monitoring method according to claim 5, characterized in that , The calculation formula of the dust source intensity is: S = S coal + S wind + S traffic S coal = β coal · M coal · f a S traffic = β traffic · M vehicle · V vehicle · L road In the formula, S represents the dust source intensity, S coal represents the coal handling source intensity, S wind represents the wind erosion source intensity, S traffic represents the vehicle dust emission source intensity, β coal represents the dust release coefficient during coal handling, M coal represents the mass of coal handled per unit time, f a represents the activity coefficient, β wind represents the wind erosion coefficient, V wind represents the wind speed, A represents the exposed area of the coal pile, β traffic represents the dust emission release coefficient, M vehicle represents the vehicle mass, V vehicle represents the vehicle speed, L road represents the length of the vehicle driving section.

7. The digital monitoring method for coal yard according to claim 4, wherein , The formula of the dust diffusion model is: Wherein, C represents the dust concentration, u represents the wind speed vector, represents the gradient operator, D represents the diffusion coefficient, D turb represents the turbulent diffusion coefficient, v s represents the sedimentation rate of dust particles, S represents the dust source intensity, r represents the radius of dust particles, ρ p represents the density of dust particles, ρ a represents the air density, g represents the acceleration of gravity, and μ represents the dynamic viscosity of air.

8. The coal yard digital monitoring method according to claim 3, wherein , The inputting the real-time monitoring data into the three-dimensional digital model for solution to obtain the coal yard dust simulation results includes: Perform particle initialization according to the dust source intensity to obtain the initial particles at each prediction time step; Obtain the dust diffusion trajectory through the real-time monitoring data, initial particles, and dust trajectory prediction model; Obtain the local turbulence intensity in the mesh of the three-dimensional digital model through the dust diffusion trajectory, and update the turbulent diffusion coefficient through the local turbulence intensity; Solve according to the real-time monitoring data, turbulent diffusion coefficient and dust diffusion model to obtain the dust concentration distribution at each predicted time step; Obtain the settlement position through the dust diffusion trajectory to get the dust settlement area.

9. The coal yard digital monitoring method according to claim 1, wherein , constructing a digital twin of the coal yard through the coal yard dust simulation results and the three-dimensional digital model, and optimizing the operation plan of the coal yard through the digital twin, including: Visualize the coal yard dust simulation results based on the three-dimensional digital model to obtain the digital twin of the coal yard; Monitor the dust levels in different areas of the coal yard through the real-time monitoring data and the digital twin, and issue dust warnings based on the dust concentration distribution in the future time period; Optimize the operation plan of the coal yard according to the dust warning of the coal yard.

10. A digital monitoring system for a coal yard, characterized in that, Including: An acquisition unit for acquiring the actual parameter information and real-time monitoring data of the coal yard, where the real-time monitoring data includes environmental data, operation data and dust concentration data; A construction unit for constructing a three-dimensional digital model of the coal yard through the actual parameter information; A simulation unit for simulating coal yard dust based on the three-dimensional digital model and real-time monitoring data to obtain the coal yard dust simulation results; An optimization unit for constructing a digital twin of the coal yard through the coal yard dust simulation results and the three-dimensional digital model, and optimizing the operation plan of the coal yard through the digital twin.

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