Methods and systems for dust suppression during loading of dry bulk cargo on railway lines

Abstract

This invention discloses a method and system for dust suppression during the loading of dry bulk cargo on railway lines. The method includes: if loading operations are detected to have commenced on the main railway line, determining the area to be suppressed based on on-site loading data; acquiring environmental information corresponding to the area to be suppressed, including wind direction information; determining the items to be loaded based on the on-site loading data, and determining the corresponding moisture content of the items; determining a control strategy for a spray system based on the wind direction information, moisture content, and the area to be suppressed, and adjusting the operating parameters of the spray system based on the control strategy to suppress dust during the loading process. This invention achieves precise control of dust pollution during railway loading, overcoming the limitations of traditional fixed dust suppression methods, and significantly improving pollution prevention efficiency and resource utilization effectiveness.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of dust suppression, and particularly relates to a dust suppression method and system for railway dry bulk loading. BACKGROUND

[0002] In the field of port ore railway loading and unloading, there is a technical bottleneck of open-air loading operation and lack of dust suppression measures at present. Although the port cargo throughput of China ranks in the forefront of the world, the traditional open-air operation mode leads to serious dust pollution problems in the process of railway loading and unloading of dry bulk goods such as ore and coal.

[0003] The existing technical solutions mainly rely on single means such as dust screen covering and water spraying. The dust screen needs to be frequently removed and covered, which is high in labor cost and easy to cause dust leakage due to operation negligence. The water spraying system relies on manual experience adjustment and cannot dynamically adjust the spraying amount according to real-time wind speed and humidity, resulting in waste of water resources and low dust suppression efficiency. SUMMARY

[0004] To solve the above technical problems, the embodiments of the present application provide a dust suppression method and system for railway dry bulk loading.

[0005] According to an aspect of the embodiments of the present application, a dust suppression method for railway dry bulk loading is provided, which comprises: if it is detected that loading operation is started on a railway line, determining a dust suppression area based on loading operation site data; obtaining environmental information corresponding to the dust suppression area, the environmental information comprising wind direction information; determining loading goods to be loaded based on the loading operation site data, and determining water content rate corresponding to the loading goods to be loaded; determining a control strategy corresponding to a spraying system based on the wind direction information, the water content rate and an area corresponding to the dust suppression area, and adjusting operating parameters corresponding to the spraying system based on the control strategy to perform dust suppression treatment on the loading operation process.

[0006] According to an aspect of the embodiments of the present application, the determination of the dust suppression area based on the loading operation site data comprises: obtaining dust raising characteristics corresponding to the loading goods to be loaded to determine diffusion parameters corresponding to the loading goods to be loaded based on the dust raising characteristics; determining vehicle information and hopper information based on the loading operation site data; and determining the dust suppression area based on the wind direction information, the diffusion parameters, the vehicle information and the hopper information.

[0007] According to an aspect of the embodiment of the present application, the vehicle information comprises a vehicle compartment distance and a vehicle compartment height, and the determination of the dust suppression area based on the wind direction information, the diffusion parameter, the vehicle information and the hopper information comprises: determining a loading operation area based on the vehicle compartment distance, the vehicle compartment height and the hopper information; simulating a diffusion range based on the loading operation area, the diffusion parameter and the wind direction information to obtain a diffusion range simulation result; and determining the dust suppression area based on the diffusion range simulation result and the vehicle compartment distance.

[0008] According to an aspect of the embodiment of the present application, the method further comprises: obtaining remote diffuse reflection sensing data corresponding to the loading operation area during the loading and unloading of the to-be-loaded articles, wherein the remote diffuse reflection sensing data comprises hopper sensing data and vehicle sensing data; determining a loading action based on the hopper sensing data and the vehicle sensing data, wherein the loading action comprises a material dropping height and a relative position relationship between the hopper and the vehicle; and correcting the dust suppression area based on the material dropping height and the relative position relationship to obtain a target dust suppression area.

[0009] According to an aspect of the embodiment of the present application, the determination of the control strategy of the spraying system based on the wind direction information, the water content and the area corresponding to the dust suppression area comprises: determining a target nozzle from the spraying system based on the area corresponding to the dust suppression area; determining a jet angle and an erection height corresponding to the target nozzle based on the wind direction information; determining a spraying parameter corresponding to the target nozzle based on the water content; and determining the control strategy of the spraying system based on the jet angle, the erection height and the spraying parameter of the target nozzle.

[0010] According to an aspect of the embodiment of the present application, the determination of the spraying parameter corresponding to the target nozzle based on the water content comprises: if the water content is greater than a first preset water content threshold and less than a second preset water content threshold, determining a standard spraying parameter as the spraying parameter corresponding to the target nozzle, wherein the standard spraying parameter comprises a standard spraying water volume and a standard spraying frequency, and the first preset water content threshold is less than the second preset water content threshold; and if the water content is greater than the second preset water content threshold or the water content is less than the first preset water content threshold, determining a correction parameter of the standard spraying parameter based on the water content, and correcting the standard spraying water volume and the standard spraying frequency based on the correction parameter.

[0011] According to an aspect of the embodiment of the present application, the loading site operation data further comprises operation data of the loading and unloading equipment, and the method further comprises: acquiring position information and a travel route of the vehicle, and determining transportation data of the vehicle based on the position information and the travel route; determining corresponding material flow and hopper operation state of the loading and unloading equipment based on the remote diffuse reflection sensing data; determining a single loading and unloading cycle based on the material flow, the hopper state and the transportation data; and determining a target control strategy of the spraying system based on the single loading and unloading cycle.

[0012] According to an aspect of the embodiment of the present application, the method further comprises: determining a loading speed and a material flow based on the single loading and unloading cycle; determining an adjustment strategy of the spraying system based on the loading speed and the material flow; and correcting the control strategy based on the adjustment strategy to obtain a target control strategy of the spraying system.

[0013] According to an aspect of the embodiment of the present application, the method further comprises: acquiring corresponding remote diffuse reflection sensing data on the railway track, and determining a loading and unloading stage of the material to be loaded based on the remote diffuse reflection sensing data; if the loading and unloading stage represents that the loading operation is in an initial loading stage, adjusting the spraying area of the spraying system to be concentrated below the hopper and in front of the vehicle; if the loading and unloading stage represents that the loading operation is in a middle loading stage, expanding the spraying area of the spraying system and adjusting the spraying intensity according to the material flow; and if the loading and unloading stage represents that the loading operation is in a final loading stage, narrowing the spraying area and adjusting the spraying area of the spraying system to be concentrated at the edge of the hopper and the rear of the vehicle.

[0014] According to an aspect of the embodiment of the present application, a railway track dry bulk loading dust suppression system is provided, and the system uses any one of the railway track dry bulk loading dust suppression methods described above, and is characterized in that the system comprises an input device, a processor, an output device and a memory, and the input device, the processor, the output device and the memory are connected to each other, wherein the memory is used to store a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions.

[0015] In the technical scheme provided by the embodiment of the present application, by monitoring the loading operation state of the railway track in real time, the high-dust area is dynamically identified, thereby avoiding the waste of water resources caused by the traditional full-area covering spraying, and by obtaining the key environmental parameter of wind direction information, the dust diffusion path can be accurately predicted, so that the spraying system can form effective coverage in the downwind area of the pollution source in a targeted manner. In addition, by combining the core material characteristic parameter of the water content of the to-be-loaded goods, the spraying intensity can be dynamically adjusted. The differential control strategy based on the material characteristics improves the dust suppression efficiency. In addition, by taking the area parameter of the dust suppression area into the control model, the optimal spraying coverage radius and water mist particle size distribution can be automatically determined, so as to control the water consumption per unit area within the optimal threshold range while ensuring the dust suppression effect, realize the change of the management mode from passive response to active prevention, ensure the continuity of the loading operation, and realize the precise management of the loading dust pollution of the railway track, thereby significantly improving the pollution prevention efficiency and resource utilization efficiency.

[0016] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. BRIEF DESCRIPTION OF DRAWINGS

[0017] The drawings incorporated into the specification and forming a part thereof illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0018] Figure 1 is a flowchart of a railway track dry bulk loading dust suppression method according to an exemplary embodiment of the present application.

[0019] Figure 2 is a flowchart of a railway track dry bulk loading dust suppression method according to another exemplary embodiment of the present application.

[0020] Figure 3 is a flowchart of a railway track dry bulk loading dust suppression method according to another exemplary embodiment of the present application.

[0021] Figure 4 is a flowchart of a railway track dry bulk loading dust suppression method according to another exemplary embodiment of the present application.

[0022] Figure 5 is a flowchart of a railway track dry bulk loading dust suppression method according to another exemplary embodiment of the present application.

[0023] Figure 6is a flow chart of a dust suppression method for railway track dry bulk loading according to another exemplary embodiment of the present application.

[0024] Figure 7 is a flow chart of a dust suppression method for railway track dry bulk loading according to another exemplary embodiment of the present application.

[0025] Figure 8 is a flow chart of a dust suppression method for railway track dry bulk loading according to another exemplary embodiment of the present application.

[0026] Figure 9 is a flow chart of a dust suppression method for railway track dry bulk loading according to another exemplary embodiment of the present application.

[0027] Figure 10 is a structural schematic diagram of a dust suppression system for railway track dry bulk loading according to an exemplary embodiment of the present application.

[0028] Figure 11 is a structural schematic diagram of a computer system of an electronic device suitable for implementing embodiments of the present application. DETAILED DESCRIPTION

[0029] The exemplary embodiments will be described in detail herein with reference to the attached drawings. The following description is made with reference to the accompanying drawings in which like reference numerals refer to like elements, and redundant description is omitted. The following exemplary embodiments described in the detailed description are illustrative of the principles of the present application. Other embodiments could be implemented with the same or similar principles; however, not all of them are described here. In other instances, well-known elements have not been described in detail for further clarity.

[0030] The block diagrams in the drawings represent functional entities, which do not necessarily have to correspond to physically independent entities. That is, the functional entities can be implemented in software, or in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0031] The flow charts shown in the drawings are merely exemplary illustrations, and do not necessarily include all the contents and operations / steps, nor do they have to be executed in the order described. For example, some operations / steps can be further divided, and some operations / steps can be combined or partially combined, so that the actual execution order can be changed according to the actual situation.

[0032] The "multiple" mentioned in the present application refers to two or more than two. The "and / or" describes the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B can represent the following three cases: A exists alone, A and B exist together, and B exists alone. The character " / " generally represents an "or" relationship between the associated objects before and after it.

[0033] First of all, it needs to be pointed out that in the field of port ore railway loading and unloading, although the port cargo throughput continues to increase, showing strong logistics hub efficiency, but the loading operation link has long been faced with the dual technical difficulties of open-air operation and lack of dust control supporting measures. Dry bulk cargoes such as ores and coals in the process of railway loading and unloading, due to the lack of effective closed operation space and intelligent dust control system, the traditional open-air operation mode makes the dust pollution problem become a prominent short board restricting the development of the port, especially during loading operation, the instantaneous high-concentration dust generated in the process of material dumping, conveying belt transfer and other links not only directly endangers the respiratory system health of the on-site operation personnel, leading to the increase of the incidence of occupational diseases, but also causes long-term environmental impact on the residential areas and ecological sensitive areas around the port through atmospheric diffusion, aggravating the regional atmospheric pollution load, more seriously, this extensive operation mode is contrary to the requirements of the current ecological civilization construction, which may cause environmental protection supervision risks and affect the sustainable development competitiveness of the port. Therefore, breaking through the technical bottleneck of open-air operation in the loading link and building a precise dust control system based on environmental perception and intelligent control have become the urgent needs of the port industry.

[0034] The above-mentioned problems have universal applicability in the loading and unloading process of general railway lines, in order to solve these problems, the embodiments of the present application respectively put forward a kind of for railway line dry bulk cargo loading dust suppression method and a kind of for railway line dry bulk cargo loading dust suppression system. The embodiments will be described in detail below.

[0035] Please refer to Figure 1 , Figure 1 is a flow chart of the railway line dry bulk cargo loading dust suppression method shown in an exemplary embodiment of the present application, as Figure 1 shown, the method for railway line dry bulk cargo loading dust suppression at least includes steps S110 to S140, which are described in detail as follows.

[0036] Step S110, if it is detected that the loading operation is started on the railway line, the dust suppression area is determined based on the loading operation site data.

[0037] For example, in the complex operation scenario of port ore railway loading and unloading, when the intelligent monitoring system (such as high-precision sensor array, video recognition device or Internet of Things terminal) deployed on the railway trunk line captures the loading operation start signal in real time (for example, triggered by detecting the loading equipment operating current, belt machine start instruction or field operation personnel operation instruction), the system will immediately start the multi-source data fusion analysis process. Specifically, based on the loading operation site data, first generate the real-time spatial coordinates of the loading area by laser radar scanning or three-dimensional modeling technology, combine the operation track data of the loading equipment (such as loading chute, mobile hopper), accurately define the dust diffusion high-risk area, such as the 3-meter radius range below the loading material falling point, the dust diffusion path of the belt machine transfer point, etc., and combine the historical operation data and material characteristics (such as ore particle size distribution, water content fluctuation range) to predict the space-time distribution characteristics of dust diffusion.

[0038] Optionally, in this process, the meteorological monitoring subsystem can also be accessed to obtain real-time wind direction and speed data, and the infrared thermal imager can be used to identify material temperature abnormal areas to further correct the boundary range of the dust suppression area. Finally, through the GIS geographic information system, the above multi-dimensional data is superimposed to generate a digital dust suppression area map containing spatial coordinates, pollution level, diffusion trend and other information, and is synchronously pushed to the intelligent spraying control center, thereby realizing dust suppression treatment for the loading operation area on the railway line.

[0039] Step S120, obtaining the environment information corresponding to the dust suppression area, the environment information including wind direction information.

[0040] Exemplarily, in the dynamic operation scene of port ore railway loading, when the dust suppression area is accurately delineated, the real-time environmental information collection mechanism is started immediately. Specifically, through the distributed meteorological monitoring network (including high-precision ultrasonic anemometer, temperature and humidity sensor array, and micro weather station, etc.) deployed around the loading operation area, multi-dimensional environmental data is continuously acquired at a frequency of seconds. Among them, the wind direction information can be taken as the core parameter, and the three-dimensional space wind direction vector measurement can be realized through the three-axis ultrasonic anemometer, which can accurately capture the instantaneous wind direction change and gust disturbance characteristics. At the same time, multi-source environmental data is integrated, including real-time wind speed, air humidity, temperature, and atmospheric pressure, etc., and the data is preprocessed through the edge computing node to eliminate outliers and establish an environmental parameter dynamic model. For example, when the northwest direction continuous wind speed is monitored to be more than 5m / s, the three-dimensional terrain data (obtained by laser radar scanning in advance) and material characteristics (such as dust particle size distribution, suspension characteristics) of the loading area are combined to predict the diffusion trajectory of the dust under the action of the wind field, and the boundary range of the dust suppression area is dynamically corrected. In addition, historical meteorological data and machine learning algorithms can also be introduced to predict the short-term wind direction change trend, and the coverage angle and water mist particle size distribution of the spraying are adjusted in advance, then all environmental data are transmitted in real time to the intelligent control hub through relevant communication technology, and the loading operation progress, material moisture content and other parameters are analyzed in space-time correlation, and finally the dust diffusion thermal map driven by wind direction is generated, which provides dynamic environmental constraint conditions for the subsequent fine formulation of the spraying strategy.

[0041] In step S130, the to-be-loaded article is determined based on the loading site operation data, and the moisture content corresponding to the to-be-loaded article is determined.

[0042] Exemplarily, in the intelligent management scene of port ore railway loading operation, when the loading operation is started, the system realizes accurate identification of the to-be-loaded article and dynamic monitoring of the moisture content through multi-dimensional data fusion technology. First, with the aid of radio frequency identification (RFID) card reader or optical character recognition (OCR) system deployed on the loading equipment (such as mobile loading hopper, belt machine head), the electronic tag information of the ore transport vehicle or container is read in real time, the cargo category database in the port production management system (TOS) is combined, the type (such as iron ore, coal, bauxite, etc.) and basic physical characteristics (such as density, particle size distribution) of the to-be-loaded article are quickly matched, and then the moisture content corresponding to the to-be-loaded article is determined.

[0043] In step S140, the control strategy of the spraying system is determined based on the wind direction information, the moisture content, and the area corresponding to the dust suppression area, and the operating parameters of the spraying system are adjusted based on the control strategy to suppress dust during the loading operation process.

[0044] For example, in the intelligent dust suppression scene of port ore railway loading operation, a dynamic and adaptive spraying control strategy system is constructed based on real-time acquired wind direction information, material moisture content and the area to be suppressed. Specifically, if the wind direction sensor monitors that the dominant wind direction is southeast wind and the wind speed reaches 5 m / s, combined with the three-dimensional digital twin model, the area to be suppressed is divided into a core area (5 meters range of downwind of the loading material point), a buffer area (5-15 meters of downwind) and an edge area (15-30 meters of downwind), and different weight values are given according to the wind attenuation coefficient and dust diffusion probability of different areas. At the same time, the current batch of iron ore moisture content of 6.8% (lower than the dust suppression threshold of 8%) can be measured by a near-infrared spectrometer, and it is determined that the spraying intensity needs to be strengthened. Combined with the area to be suppressed scanned by the laser radar (about 120 square meters), the intelligent algorithm inputs the above parameters into the multi-objective optimization model to generate a three-dimensional control strategy including nozzle opening and closing combination, water pressure adjustment gradient and atomized particle size distribution. For example, in the core area, high-pressure rotary nozzles (pressure 0.8 MPa, atomized particle size 50-80 μm) are used, in the buffer area, medium-pressure fan-shaped nozzles (pressure 0.5 MPa, particle size 80-120 μm) are used, and in the edge area, low-pressure micro-fog nozzles (pressure 0.3 MPa, particle size 120-150 μm) are intermittently started to form a three-level progressive dust suppression barrier.

[0045] In addition, in the execution phase, the intelligent control center can also send instructions to the frequency conversion water pump, electromagnetic valve group and electric regulating valve through industrial Ethernet to dynamically adjust the water pump frequency, valve group opening degree and nozzle rotation angle, etc., so that the spraying water mist is accurately coupled with the dust diffusion path in space and synchronized with the loading operation rhythm in time. For example, when the loading machine moves to the middle of the carriage, the spraying intensity in this area is automatically enhanced, and a delay spraying for a preset time is maintained after the loading is completed to suppress the residual dust. At the same time, through the flow sensor and pressure transmitter deployed in the spraying pipe network, the running parameters are fed back to the control center in real time, thereby forming a closed-loop optimization mechanism of "strategy generation, parameter adjustment and effect verification".

[0046] In some embodiments of the present application, by combining the loading operation site data, environmental information such as wind direction and moisture content of the material to be loaded, the spraying system control strategy is dynamically determined and the operating parameters are adjusted, which can realize accurate dust suppression, effectively reduce dust pollution in the loading operation process, improve the quality of the working environment and reduce the impact on the surrounding environment.

[0047] Further, based on the above embodiments, please refer to Figure 2 In one of the example embodiments provided in the present application, the specific implementation process of determining the area to be suppressed based on the loading operation site data can further include steps S210 to S220, which are described in detail as follows:

[0048] In step S210, the dust-raising characteristics corresponding to the to-be-loaded goods are acquired to determine the diffusion parameters corresponding to the to-be-loaded goods based on the dust-raising characteristics.

[0049] In step S220, the vehicle information and the hopper information are determined based on the loading site operation data.

[0050] In step S220, the dust-suppression area is determined based on the wind direction information, the diffusion parameters, the vehicle information, and the hopper information.

[0051] Exemplarily, in the fine dust-suppression management scene of the port ore railway loading operation, a dynamic dust-suppression area identification system based on material characteristics, operation conditions, and environmental parameters can be constructed through multi-dimensional data fusion and intelligent modeling technology. Specifically, the dust-raising characteristics of the to-be-loaded goods can be determined, in addition, a material dust-raising characteristic database can be established by combining laboratory calibration and on-site measurement, and the dust-raising wind speed threshold of different materials (such as iron ore, coal, sandstone, etc.) can be determined through wind tunnel experiments Unit: m / s), combined with the material particle size distribution (median particle size, unit: μm) and the moisture content W (mass percentage), and then the dust-raising intensity of the goods can be determined by using an empirical formula.

[0052]

[0053] In the formula, is the quantitative dust-raising intensity, , , and is the material characteristic coefficient, wherein , , and can be obtained by multiple regression fitting.

[0054] Then, based on the dust-raising intensity , the dust diffusion parameters can be further derived. Specifically, the horizontal diffusion coefficient and the theoretical vertical diffusion coefficient can be calculated by the Gaussian plume model.

[0055]

[0056]

[0057] In the formula, is the downwind distance, , , and Empirical parameters related to atmospheric stability are used, and a three-dimensional dust diffusion distribution model is constructed by combining the loading height, as shown below:

[0058]

[0059] In the formula, For wind speed, Let be the spatial dust concentration distribution function.

[0060] In some feasible embodiments, by combining dust settling velocity (The corrected vertical diffusion coefficient can be obtained using Stokes' law) For example, in actual engineering, if the dust particle size is relatively large (e.g. If so, the vertical diffusion coefficient needs to be adjusted using a settlement correction factor. Specifically, it is expressed as follows:

[0061] .

[0062] in, For diffusion time, For loading height, The corrected vertical diffusion coefficient is given when the dust settling velocity is... When it is large, the corrected vertical diffusion coefficient This will decrease, leading to a compression of the vertical diffusion range, thus allowing us to obtain the corrected vertical diffusion coefficient as follows:

[0063] .

[0064] Furthermore, it can also be measured by the dust settling speed. The maximum suspension time of dust particles is determined as follows:

[0065] .

[0066] Furthermore, in calculating the maximum diffusion distance downwind... At that time, it is necessary to use As a constraint, it is specifically represented as follows:

[0067] .

[0068] The above formula shows that the dust settling velocity When the dust level is high, it will limit the range of dust dispersion.

[0069] Furthermore, loading operation data can be collected in real time through IoT devices, thereby obtaining information such as the type of vehicle being loaded and unloaded (e.g., open wagon, boxcar) and the dimensions of the cargo box, including the length. ,Width , high , and a laser range finder and an angle sensor are installed at the loading hopper to monitor the height, angle and material falling speed of the hopper outlet. Combined with the wind direction information (the wind direction angle and wind speed measured by the ultrasonic anemometer ), the relative position relationship between the initial dust diffusion direction and the loading area is calculated by a geometric projection algorithm, and a correction coefficient (considering the influence of the hopper structure on air flow disturbance) and a vehicle shielding factor (based on the dynamic calculation of the car size and loading progress) are introduced. Finally, the boundary coordinates of the dust suppression area are determined, and other conditions are obtained based on the boundary coordinates , wherein is the loading height, and then the maximum diffusion distance is obtained along the downwind direction with the loading point as the center line is expressed as:

[0070]

[0071] and the vertical coverage height is:

[0072]

[0073]

[0074] and the vertical coverage height is:

[0075] In some embodiments of the present application, by comprehensively considering the dusting characteristics, diffusion parameters of the to-be-loaded articles, and vehicle and hopper information in the loading operation, and combining the wind direction information to accurately determine the dust suppression area, the pertinence and effectiveness of the dust suppression measures can be significantly improved, thereby more efficiently controlling the dust diffusion in the loading operation, optimizing the working environment and reducing environmental pollution.

[0076] Further, based on the above embodiments, please refer to Figure 3 In an exemplary embodiment provided by the present application, the vehicle information includes the car spacing and the car height, and the specific implementation process of determining the dust suppression area based on the wind direction information, the diffusion parameters, the vehicle information and the hopper information can further include steps S310 to S330, which are described in detail as follows:

[0077] Step S310, determining the loading operation area based on the car spacing, the car height and the hopper information.

[0078] Step S320, simulating the diffusion range based on the loading operation area, the diffusion parameters and the wind direction information to obtain the diffusion range simulation result.

[0079] Step S330, determine the dust suppression region based on the diffusion range simulation result and the car spacing.

[0080] For example, in the intelligent dust suppression control scene of open-pit mine railway loading operation, if multiple cars are simultaneously loaded and unloaded, a precise dust suppression region identification system based on dynamic operation parameters can be constructed by integrating set modeling and fluid mechanics simulation and hole analysis technology to model the loading and unloading operation area. Specifically, the car spacing (the distance between adjacent car centers, unit: m), car height (the vertical distance from the top of the car body to the track surface, unit: m), and hopper parameters (including hopper outlet height , width , and unloading angle ) can be obtained by remote diffuse reflection sensors. Then, a three-dimensional space projection algorithm can be used to generate a loading operation area model as follows:

[0081]

[0082] wherein the car space range can be represented as follows:

[0083]

[0084] wherein, is the total number of cars, is the initial coordinates of the first car (such as the starting point of the track), is the car spacing (the distance between adjacent car centers), is the height of the car, is the width of the car, is the height of the car.

[0085] wherein the hopper space range can be represented as follows:

[0086]

[0087] wherein, is the hopper outlet coordinates, wherein (usually , ), is the hopper outlet width, is the hopper outlet height, is the hopper unloading angle (usually the angle with the horizontal plane).

[0088] With the above embodiments, the dust diffusion range can be dynamically simulated by combining the Gaussian plume model and the computational fluid dynamics coupling method, and the horizontal diffusion coefficient obtained in the above embodiments and the vertical diffusion coefficient corrected by the settling velocity are combined with real-time wind direction information to construct a dust diffusion concentration field as follows:

[0089]

[0090] wherein, is the number of loading points, is the wind direction angle, is the wind speed, is the dust emission intensity of the th loading point, is the spatial coordinates of the loading point, and then the finite difference method is used to solve the partial differential equation to generate the diffusion range simulation results including the concentration gradient and pollution level.

[0091] In addition, in some implementable embodiments, the dust suppression area to be determined can also be determined based on the diffusion simulation results and the car spacing through spatial clustering and buffer zone analysis. Specifically, the dust suppression area to be determined can be determined by comparing the diffusion concentration field with the preset dust suppression threshold, clustering the areas with excessive concentration, and then determining the dust suppression area. For areas less than the preset dust suppression threshold, dust suppression can not be performed.

[0092] In some embodiments of the present application, the loading operation area is accurately delineated by combining the car spacing, height, and hopper information, and the diffusion range is simulated based on the diffusion parameters and wind direction information to determine the dust suppression area to be determined, which can significantly improve the accuracy and scientificity of the dust suppression area delineation, effectively reduce the dust pollution of the loading operation, and improve the quality of the operation environment.

[0093] Further, based on the above embodiments, please refer to Figure 4 In one of the example embodiments provided in the present application, the specific implementation process of the above method can further include steps S410 to S430, which are described in detail as follows:

[0094] Step S410, during the loading and unloading of the to-be-loaded articles, remote diffuse reflection sensing data corresponding to the loading operation area is obtained, and the remote diffuse reflection sensing data includes hopper sensing data and vehicle sensing data.

[0095] Step S420, the loading action is determined based on the hopper sensing data and the vehicle sensing data, and the loading action includes the material dropping height and the relative position relationship between the hopper and the vehicle.

[0096] Step S430, the dust suppression area to be determined is corrected based on the material dropping height and the relative position relationship to obtain a target dust suppression area to be determined.

[0097] For example, in the bulk material loading and unloading scene of open-pit mines, port bulk cargo terminals or railway freight stations, a remote diffuse reflection sensor array can be deployed in the loading area to solve the problem of dynamic changes in dust diffusion range during loading operations. The remote diffuse reflection sensor array can collect three-dimensional spatial information in real time through the principle of laser diffuse reflection. Specifically, the hopper sensor data in the remote diffuse reflection sensor array focuses on the material flow state and the position of the discharge port, including the real-time coordinates, inclination angle of the hopper outlet and the spatial trajectory characteristics of the material falling. The vehicle sensor data covers the vehicle body profile, motion trajectory and loading state, such as the dynamic position of the vehicle body, the loading progress and the opening and closing state of the vehicle body fence. Then, after synchronizing the two types of data through time stamping, a four-dimensional data set containing spatial coordinates and time dimension is formed. Based on this data set, a real-time three-dimensional model of the loading operation can be constructed to accurately restore the relative spatial relationship between the hopper and the vehicle. Further, by analyzing the spatio-temporal variation characteristics in the relative spatial relationship, key loading actions can be identified. For example, when the hopper sensor data shows that the vertical coordinate of the discharge port is continuously decreasing and the material scattering signal strength is increasing, it is determined that the material falling action occurs, and the material falling height (i.e. the vertical distance from the hopper outlet to the bottom of the vehicle body) is extracted. When the vehicle body profile signal and the hopper falling trajectory signal in the vehicle sensor data appear to be spatially overlapped, it is determined that the hopper and the vehicle are in a dynamic docking state, and the relative position relationship between the two (such as horizontal offset and vertical alignment error) is further analyzed.

[0098] In addition, a machine learning model trained in combination with historical data can distinguish between normal loading and abnormal operation (such as hopper offset and vehicle overloading), provide behavior logic basis for subsequent dust suppression area correction, and adjust the initially delineated dust suppression area based on the material falling height and the relative position relationship. For example, if the material falling height exceeds a preset threshold (such as 3 meters), the dust suppression range in the vertical direction is expanded to cover a higher concentration of dust diffusion area; if the hopper and the vehicle have a horizontal offset, the lateral boundary of the dust suppression area is extended in the offset direction to ensure that it covers the lateral drifting path of the dust. During the correction process, a spatial buffer zone strategy is introduced to dynamically adjust the buffer distance based on the material falling height (e.g. for every 1 meter increase in material falling height, the buffer zone is expanded outward by 0.5 meters), and the buffer zone is asymmetrically expanded based on the offset angle in the relative position relationship. Finally, through spatial merging and cropping operations, a target dust suppression area that accurately matches the current loading action is generated. This area not only covers the vehicle body space, but also covers the peripheral area of the dust diffusion formed by the impact of the falling material and the air flow disturbance, ensuring that the dust suppression equipment (high-pressure atomizing nozzle) can cover the high-risk area.

[0099] In some embodiments of the present application, by acquiring remote diffuse reflection sensing data of the loading area and analyzing the loading action such as the material falling height and the relative position relationship between the hopper and the vehicle, the dust suppression area can be dynamically corrected to accurately determine the target dust suppression area, thereby improving the real-time performance and effectiveness of the dust suppression measures and significantly reducing the dust diffusion risk during loading and unloading.

[0100] Further, based on the above embodiments, please refer to Figure 5 In one of the example embodiments provided in the present application, the specific implementation process of determining the control strategy of the spraying system based on the wind direction information, the water content and the area corresponding to the dust suppression area can further include steps S510 to S540, which are described in detail as follows:

[0101] Step S510: determining a target nozzle from the spraying system based on the area corresponding to the dust suppression area.

[0102] Step S520: determining the jet angle and the erection height corresponding to the target nozzle based on the wind direction information.

[0103] Step S530: determining the spraying parameters corresponding to the target nozzle based on the water content.

[0104] Step S540: determining the control strategy of the spraying system based on the jet angle, the erection height and the spraying parameters of the target nozzle.

[0105] For example, based on the spatial range and geometric characteristics of the pre-designated dust suppression area (such as the loading area or the material pile dust area), the appropriate nozzle combination is selected from the spray system database, where the coverage radius, flow characteristics, and installation constraints (such as maximum elevation angle and minimum ground clearance) of each nozzle are pre-stored. For example, for a large rectangular dust suppression area, a rotating fog cannon with a long range and wide coverage fan is preferred; for a narrow area, a linearly arranged spray rod is selected. Through spatial intersection analysis, it is ensured that the selected nozzle combination can completely cover the dust suppression area, and 10-15% of the overlapping coverage redundancy is reserved to deal with the dust deviation caused by wind direction changes. In addition, meteorological station data can be accessed in real time to analyze wind direction information (such as wind direction angle and wind speed level), and the jet angle and installation height of the target nozzle are adjusted accordingly. Specifically, for the downwind area, the jet angle of the nozzle is deflected by a certain angle in the direction opposite to the wind, and the wind power is used to enhance the penetration and coverage of the water mist; for the side wind area, a symmetrical nozzle array is used to form a barrier effect through cross jet. The installation height of the high-pressure atomizing nozzle can be dynamically adjusted according to the coupling relationship between wind speed and nozzle range, for example, under high wind speed conditions (such as above 5 levels), the nozzle height is appropriately increased (such as 0.5-1 meters) to avoid the water mist being blown away quickly; under low wind speed conditions, the height is reduced to enhance the water mist deposition effect. In addition, the coverage effect after adjusting the nozzle posture is verified through three-dimensional simulation to ensure that there is no dust suppression blind area, and the spraying parameters of the target nozzle are dynamically adjusted based on the material characteristics (such as moisture content and particle size distribution) and dust suppression targets (such as PM10 concentration threshold). When the moisture content of the material is below the critical value (such as coal moisture content <8%), the spraying intensity (such as increasing the flow and shortening the interval time) is increased to quickly humidify; when the moisture content is close to saturation, the spraying intensity is reduced to avoid material loss or water accumulation. At the same time, in terms of spraying mode, high-frequency pulse spraying is used for fine particle materials (such as fly ash) to enhance the collision efficiency of water mist and dust; for coarse particle materials (such as ore), continuous low-pressure spraying is used to reduce water mist rebound, and the spraying parameters are optimized in a closed loop to ensure the balance between dust suppression effect and resource consumption through real-time monitoring of material surface humidity (such as infrared sensor feedback) and dust concentration.

[0106] Optionally, the jet angle, erection height and spraying parameters are multi-dimensionally fused to generate a dynamic control strategy for the target nozzle. For example, in the downwind high dust concentration area, the control strategy can include the combination of "high elevation angle (45°), high erection (6 meters), and high-frequency pulse spraying (frequency 10Hz)"; while in the upwind low-risk area, the energy-saving mode of "low elevation angle (20°), low erection (4 meters), and intermittent spraying (period 30 seconds)" is adopted. During the strategy execution process, the control instructions are issued to the nozzle actuator in real time through the Internet of Things protocol, and the working state (such as flow, pressure, angle) and dust suppression effect (such as dust concentration reduction) of each nozzle are recorded synchronously, providing data support for subsequent strategy optimization.

[0107] In some embodiments of the present application, by combining the area of the dust suppression area to be suppressed to accurately select the target nozzle, and dynamically adjusting the jet angle, erection height and spraying parameters of the nozzle according to the wind direction information and water content, intelligent control of the spraying system can be realized, which significantly improves the dust suppression efficiency, while effectively saving water resources and reducing operation cost.

[0108] Further, based on the above embodiments, please refer to Figure 6 In one of the example embodiments provided in the present application, the specific implementation process of determining the spraying parameters corresponding to the target nozzle based on the water content can further include steps S610 and S620, which are described in detail as follows:

[0109] Step S610: If the water content is greater than the first preset water content threshold and less than the second preset water content threshold, the spraying parameters corresponding to the target nozzle are determined as standard spraying parameters, and the standard spraying parameters include standard spraying water volume and standard spraying frequency, and the first preset water content threshold is less than the second preset water content threshold.

[0110] Step S620: If the water content is greater than the second preset water content threshold, or the water content is less than the first preset water content, the correction parameters of the standard spraying parameters are determined based on the water content, and the standard spraying water volume and the standard spraying frequency are corrected based on the correction parameters.

[0111] For example, the moisture content data is collected in real time by the humidity sensor installed on the material conveying belt or the surface of the material pile, and is compared with the preset double threshold (the first preset moisture content threshold and the second preset moisture content threshold). When the moisture content is between the first threshold (for example, 8%) and the second threshold (for example, 12%), it is determined that the material is in the "standard dust suppression interval", at this time, the standard spraying parameters are called, including the standard spraying water volume (for example, 15 liters / minute) and the standard spraying frequency (for example, 8 pulses per minute). The combination of the parameters can ensure the dust suppression effect while avoiding the problem of material loss or water accumulation caused by excessive spraying based on historical data and experimental verification. If the moisture content exceeds the standard interval, for example, the moisture content of the material is higher than the second preset moisture content threshold, at this time, the material is close to saturation, and continued spraying may cause resource waste or deterioration of the material properties. The spraying intensity is reduced by the algorithm model, and the correction parameters may include: reducing the standard water volume by 30% (to 10.5 liters / minute), reducing the spraying frequency to 5 pulses per minute, and prolonging the intermittent time to promote the natural settlement of the water mist. The correction logic can be based on the experimental data of the surface tension and permeation rate of the material to ensure that the basic dust suppression effect is maintained without causing water accumulation.

[0112] On the other hand, if the moisture content of the material is lower than the first preset moisture content threshold, it means that the material is dry at this time, and the dust generation risk is high, so the spraying intensity needs to be enhanced. The standard water volume is increased, the spraying frequency is increased, and the fine atomization mode is enabled under necessary conditions to increase the collision probability of the water mist and the dust, wherein the correction parameters can be dynamically adjusted by real-time monitoring of the dust concentration change (such as the feedback of the beta ray monitoring instrument), until the moisture content rises to the standard interval.

[0113] In addition, in the correction process, a closed-loop control strategy is adopted, for example, after the spraying parameters are adjusted, the moisture content of the material and the dust concentration change are continuously monitored, if the correction effect is not as expected (for example, the moisture content continues to deviate or the dust concentration reduction is insufficient), a secondary correction is triggered, and the adjustment amplitude is gradually reduced (for example, the adjustment amplitude is halved each time) to avoid oscillation.

[0114] In some embodiments of the present application, by setting the moisture content threshold interval and selectively choosing the standard spraying parameters or dynamically correcting the spraying parameters based on the moisture content, the effective dust suppression can be ensured while avoiding the waste of water resources caused by excessive spraying, and the precision and efficiency of the spraying operation can be realized.

[0115] Further, based on the above embodiments, please refer to Figure 7 In some embodiments provided by the present application, the loading operation data further includes operation data of the loading and unloading equipment, and the dust suppression method can further specifically include steps S710 to S740, which are described in detail as follows:

[0116] Step S710, obtaining position information and travel route of the vehicle, and determining transportation data of the vehicle based on the position information and the travel route.

[0117] Step S720, determining material flow and hopper operation state corresponding to the loading and unloading equipment based on the remote diffuse reflection sensing data.

[0118] Step S730, determining a single loading and unloading cycle based on the material flow, the hopper state and the transportation data.

[0119] Step S740, determining a target control strategy corresponding to the spraying system based on the single loading and unloading cycle.

[0120] For example, the vehicle position information (such as latitude and longitude coordinates, travel speed) and travel route (such as pre-defined path, temporarily adjusted trajectory) are obtained in real time through the vehicle positioning system and the field positioning base station, and the dynamic transportation data set is generated by combining the historical operation data. For example, when the vehicle enters the loading operation area, the parking position and queuing time are recorded; when the vehicle drives away, whether the travel path deviates from the optimal route (such as detouring causing loading and unloading connection delay) is analyzed. For example, in the coal loading operation, it can be identified that a truck arrives at the time due to the delay of the previous process, so that the subsequent loading and unloading plan is dynamically adjusted, the material flow and hopper operation state of the loading and unloading equipment are perceived in three-dimensional space based on the remote diffuse reflection sensor array, wherein the material flow data is obtained by analyzing the material scattering signal strength and falling trajectory characteristics of the hopper discharge port, such as identifying the material falling speed (such as 0.5 meters per second) and the packing density (such as 1.2 tons per cubic meter), and then calculating the instantaneous flow (such as 300 tons per hour), the hopper operation state includes the hopper opening angle (such as fully open, half open), the vibration frequency (such as high-frequency vibration anti-blocking mode) and the relative position with the vehicle (such as horizontal offset 0.3 meters, vertical alignment error 5 centimeters). Then, the vehicle transportation data and the loading and unloading equipment state are fused to dynamically generate a single loading and unloading cycle model, based on the single loading and unloading cycle model, a dynamic control strategy of the spraying system is generated to realize precise synchronization of dust suppression operation and loading and unloading process.

[0121] In some embodiments provided in the present application, the single loading and unloading cycle is accurately determined by fusing multi-dimensional data such as vehicle position, travel route, material flow of loading and unloading equipment and hopper operation state, and the spraying system control strategy is formulated based on this, which can realize precise adaptation of spraying operation and loading and unloading process, effectively improve dust suppression efficiency and reduce dust pollution.

[0122] Further, based on the above embodiments, please refer to Figure 8 In some example embodiments provided in the present application, the specific implementation process of the above dust suppression method can further include steps S810 to S830, which are described in detail as follows:

[0123] Step S810, determining the loading speed and the material flow based on the single loading and unloading cycle.

[0124] Step S820, determining the adjustment strategy of the spraying system based on the loading speed and the material flow.

[0125] Step S830, correcting the control strategy based on the adjustment strategy to obtain the target control strategy of the spraying system.

[0126] For example, the loading speed and the material flow are input into a pre-trained correlation model (such as a regression tree model based on historical data) to analyze the influence weight of the two on the spraying effect. For example, when the loading speed increases from 6 trains per hour to 8 trains per hour, if the material flow does not increase synchronously (such as still 250 tons per hour), it may cause the vehicle waiting time to be shortened but the hopper supply pressure to be increased, thereby causing the dust raising risk to rise; on the contrary, if the material flow increases too much (such as from 300 tons / hour to 350 tons / hour), it may cause the loading speed to lag (such as the vehicle departure time to be delayed), and increase the burden of the spraying system to suppress high-intensity dust. The regression tree model output result can include a flow coordination coefficient, which is used to determine whether the current operation state is in the optimal matching interval. If it is determined based on the flow coordination coefficient that the loading speed is too fast during the loading operation, which causes the material flow to be insufficient and may cause frequent vehicle waiting and intermittent dust raising, intermittent intensive spraying (such as 5 seconds of high-intensity spraying every 30 seconds) can be enabled to cover the key nodes of vehicle positioning and departure, and the mist cannon angle can be adjusted (such as from 60° vertically to 45°) to deal with low-position dust. If it is determined based on the flow coordination coefficient that the material flow is too large during the loading operation, which causes the loading speed to lag and may cause continuous high-concentration dust, full-time high-intensity spraying (such as the flow to be increased to 20 liters / minute) can be enabled to use a double-nozzle cross-coverage mode; the spraying rod rotation speed can be increased (such as from 10 revolutions per minute to 15 revolutions per minute) to expand the coverage range, thereby correcting the control strategy of the spraying system to obtain the corrected control strategy, and the final strategy can be issued to the spraying executor through the Internet of Things protocol, while the strategy version and the execution result are recorded for subsequent learning and optimization.

[0127] In some embodiments of the present application, the loading speed and the material flow are dynamically determined through a single loading and unloading cycle, and the spraying system strategy is adjusted accordingly, which can realize real-time matching of the spraying operation and the loading process, significantly improve the dust suppression effect and reduce resource consumption, and form a more optimized target control strategy.

[0128] Further, based on the above embodiments, please refer to Figure 9 In one of the example embodiments provided in the present application, the specific implementation process of the dust suppression method can further include steps S910 to S940, which are described in detail as follows:

[0129] At step S910, the remote diffuse reflection sensing data corresponding to the iron road trunk is acquired, and the loading and unloading stage of the to-be-loaded article is determined based on the remote diffuse reflection sensing data.

[0130] At step S920, if the loading and unloading stage represents the initial loading stage of the loading operation, the sprinkling area of the sprinkling system is adjusted to be concentrated below the hopper and in front of the vehicle.

[0131] At step S930, if the loading and unloading stage represents the middle loading stage of the loading operation, the sprinkling area of the sprinkling system is expanded, and the sprinkling intensity is adjusted according to the material flow.

[0132] At step S940, if the loading and unloading stage represents the final stage of the loading operation, the sprinkling area is reduced, and the sprinkling area of the sprinkling system is adjusted to be concentrated at the edge of the hopper and the rear of the vehicle.

[0133] For example, the remote diffuse reflection sensor array above the loading area can collect material scattering signal characteristics (such as light intensity attenuation amplitude, reflection angle distribution) in real time, and identify the loading and unloading stages of the loading operation by combining machine vision algorithms. When the sensor detects that the hopper has just opened and the material flow is in the climbing period (such as the flow increases from 0 to 200 tons / hour), it can be determined that it is in the initial loading stage of the loading operation. At this time, the dust mainly concentrates on the hopper discharge port and the front of the vehicle (because the material rebounds when it hits the front baffle of the vehicle compartment), so the spraying system is controlled to focus on these two areas, for example, the fixed spraying rod below the hopper (covering a radius of 3 meters) and the rotating fog gun in the front of the vehicle (horizontal swing angle of 30°) are activated, and a low-pressure large-flow mode (such as 15 liters / minute) is used to suppress the initial dust, while avoiding the rear vehicle compartment from being sprayed too early, which would cause material loss. If the sensor detects that the material flow is stable (such as continuously in the 250-300 tons / hour interval) and the vehicle load is 60%-80%, it can be determined that it is in the middle loading stage of the loading operation. At this time, the dust range expands (lateral dust and airflow disturbance dust in the middle of the vehicle compartment caused by continuous material accumulation), so the sprinkling area is expanded to the entire vehicle compartment above (such as by extending the spraying rod or rotating the fog gun horizontally to cover a 12-meter vehicle compartment), and is dynamically adjusted according to real-time flow data (such as increasing the spraying intensity by 15% when the flow increases by 10%), for example, a high-pressure pulse mode (such as 20 liters / minute, 10 pulses per minute) is used to enhance the penetration, while the fog gun elevation angle is adjusted (such as from 45° to 50° when the wind speed is 3) to offset the influence of the airflow through multi-sensor fusion (such as combining wind speed data). If the sensor detects that the material flow suddenly decreases (such as from 300 tons / hour to 50 tons / hour) and the vehicle is close to full load (such as the load is more than 95%), it can be determined that it is in the end stage of the loading operation. At this time, the dust mainly comes from the residual material sliding off the hopper edge and the airflow entrainment when the vehicle leaves, so the sprinkling area is reduced to the edge of the hopper outlet (such as activating a narrow-angle spraying mode to cover a 0.5-meter-wide area) and the rear of the vehicle (such as adding a micro nozzle to the rear fog lamp position), while the spraying intensity is reduced (such as to 10 liters / minute) to avoid over-spraying. For example, in the railway open wagon coal loading operation, only the rear 2 meters of the vehicle compartment is fine atomized (water droplet size 50 μm) in the end stage, which not only suppresses the dust but also prevents the coal surface from accumulating water.

[0134] In some embodiments of the present application, the loading and unloading stages are accurately identified by remote diffuse reflection sensor data, and the sprinkling area and intensity of the spraying system are dynamically adjusted accordingly, which can realize intelligent matching of the spraying operation and the loading process, effectively improve the dust suppression effect, and at the same time avoid water waste.

[0135] Please refer to Figure 10 , Figure 10An exemplary embodiment of the present application shows a structural schematic diagram of a dust suppression system for railway track dry bulk loading. The system comprises an input device, a processor, an output device, a memory, wherein the input device, the processor, the output device and the memory are directly or indirectly connected, wherein the memory is used to store a computer program, the computer program comprises program instructions, the processor is configured to call the program instructions, and the system uses a dust suppression method for railway track dry bulk loading.

[0136] The memory adopts a high-speed solid-state hard disk, has the characteristics of fast read-write speed, large capacity and high reliability, is mainly used to store the data input by the input device and the result data processed by the processor, and can meet the demand of large data storage.

[0137] In the embodiment, the input device comprises a data receiving module, which is used to receive the sensing data returned by the remote diffuse reflection sensing system of the loading operation area, and the input device supports data format standardization processing, which can ensure that the collected and received data are compatible with the processor.

[0138] The processor comprises a detection module, an acquisition module, a determination module and a dust suppression module, wherein the detection module is used to determine the dust suppression area based on the loading operation site data if it is detected that the loading operation on the railway track is started; the acquisition module is used to acquire the environmental information corresponding to the dust suppression area, wherein the environmental information comprises wind direction information; the determination module is used to determine the loading goods and the moisture content corresponding to the loading goods based on the loading operation data; and the dust suppression module is used to determine the control strategy of the spraying system based on the wind direction information, the moisture content and the area corresponding to the dust suppression area, and adjust the operation parameters of the spraying system based on the control strategy to perform dust suppression treatment on the loading operation process.

[0139] The output device comprises a display terminal, a strategy generation module and a warning prompt module, the display terminal can be used to visually show the actual state of the loading operation area, the strategy generation module can dynamically correct the control strategy of the spraying system according to the real-time environmental information and operation information of the loading operation area, and the warning module can give a warning prompt for the failure of the spraying system or the risk of the loading operation area.

[0140] Figure 11 A structural schematic diagram of a computer system of an electronic device suitable for implementing the embodiments of the present application is shown. It should be noted that, Figure 11 The computer system 1100 of the electronic device shown is only an example, and should not impose any limitation on the functions and use range of the embodiments of the present application.

[0141] As Figure 11As shown, the computer system 1100 includes a central processing unit (CPU) 1101 that can perform various suitable actions and processes in accordance with a program stored in a read-only memory (ROM) 1102 or a program loaded from the storage section 1108 into a random access memory (RAM) 1103, such as performing the methods in the above-described embodiments. Various programs and data required for the operation of the system are also stored in the RAM 1103. The CPU 1101, the ROM 1102, and the RAM 1103 are connected to each other through a bus 1104. An input / output (I / O) interface 1105 is also connected to the bus 1104.

[0142] Connected to the I / O interface 1105 are an input section 1106 including a keyboard, a mouse, etc.; an output section 1107 including a display such as a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 1108 including a hard disk, etc.; and a communication section 1109 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 1109 performs communication processing via a network such as the Internet. A drive 1110 is also connected to the I / O interface 1105 as necessary. A removable recording medium 1111 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc. is attached to the drive 1110 as necessary, so that a computer program read therefrom is installed into the storage section 1108 as necessary.

[0143] In particular, in accordance with the embodiments of the present application, the processes described above with reference to the flowcharts can be implemented as a computer software program. For example, the embodiments of the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing a computer program for executing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network by the communication section 1109, and / or installed from the removable recording medium 1111. When the computer program is executed by the central processing unit (CPU) 1101, various functions defined in the system of the present application are performed.

[0144] It should be noted that the computer-readable medium in the embodiments of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination thereof. The computer-readable storage medium may, for example, be an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or apparatus, or any combination thereof. More specific examples of the computer-readable storage medium can include, but are not limited to, an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disc read-only memory (Compact Disc Read-Only Memory, CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this application, the computer-readable signal medium can include a data signal propagated in a baseband or as a carrier wave in a propagated data signal, in which the computer-readable computer program is carried. Such a propagated data signal can take many forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination thereof. The computer-readable signal medium can also be any computer-readable medium other than the computer-readable storage medium, which can send, propagate, or transmit the program for use by or in connection with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium can be transmitted by any suitable medium, including but not limited to wireless, wired, or the like, or any suitable combination thereof.

[0145] The flowcharts and block diagrams in the drawings illustrate the possible implementation architectures, functions, and operations of the systems, methods, and computer program products according to various embodiments of the present application. In the flowcharts or block diagrams, each block can represent a module, a program segment, or a part of code, which contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in different orders than those noted in the drawings. For example, two blocks represented in succession can actually be executed substantially in parallel, and sometimes they can be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram or flowchart, and the combination of blocks in the block diagram or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0146] The units described in the embodiments of the present application can be implemented in the form of software, or can be implemented in the form of hardware, and the described units can also be arranged in a processor. In some cases, the names of the units do not constitute a limitation on the units themselves.

[0147] Another aspect of the present application also provides a computer readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the method for railway track dry bulk loading dust suppression as described above. The computer readable storage medium can be included in the electronic device described in the above embodiments, or can exist separately and not be assembled into the electronic device.

[0148] Another aspect of the present application also provides a computer program product or a computer program, which includes computer instructions stored in a computer readable storage medium. A processor of a computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to make the computer device execute the method for railway track dry bulk loading dust suppression provided in the above embodiments.

[0149] The above is only a preferred exemplary embodiment of the present application, and is not intended to limit the implementation of the present application. Those skilled in the art can easily make corresponding modifications or variations according to the main concept and spirit of the present application, and the protection scope of the present application should be subject to the protection scope required by the claims.

Claims

1. A method for dust suppression in rail line bulk loading of dry bulk material, characterized in that, The method comprises the following steps: If it is detected that the loading operation is started on the railway trunk line, a dust suppression area is determined based on loading operation site data; Obtain environmental information corresponding to the dust suppression area, which includes wind direction information; Determine the loading goods based on the loading operation site data, and determine the moisture content corresponding to the loading goods; Determine the control strategy of the spraying system based on the wind direction information, the moisture content, and the area corresponding to the dust suppression area, and adjust the operating parameters of the spraying system based on the control strategy to suppress dust during the loading operation process; The dust suppression area is determined based on the loading operation site data, comprising: Obtain the dust raising characteristics of the loading goods to determine the diffusion parameters corresponding to the loading goods based on the dust raising characteristics, the diffusion parameters including horizontal diffusion coefficient and vertical diffusion coefficient, and the diffusion parameters satisfy the following relationship: wherein is the horizontal dispersion coefficient, is the vertical dispersion coefficient, is the downwind distance, , , and is an empirical parameter related to atmospheric stability, is the dust settling velocity, is the wind speed; Determine vehicle information and hopper information based on loading site operation data, the vehicle information including car compartment spacing and car compartment height; Determine the loading operation area based on the car compartment spacing, the car compartment height, and the hopper information; Simulate the diffusion range based on the loading operation area, the diffusion parameters, and the wind direction information to obtain a diffusion range simulation result; Determine the dust suppression area based on the diffusion range simulation result and the car compartment spacing, specifically, determine the digital dust suppression area graph of the dust diffusion trend through the lateral extension width and the vertical coverage height of dust falling, which satisfy the following relationship in turn: wherein, is the lateral extension width, is the maximum downwind diffusion distance, is the width of the vehicle cabin, is the vertical coverage height, is the height of the vehicle cabin; wherein, is the maximum suspension time of the dust particles, H is the loading height; The method further comprises: During the loading and unloading process of the loading goods, obtain remote diffuse reflection sensing data corresponding to the loading operation area, the remote diffuse reflection sensing data including hopper sensing data and vehicle sensing data; Determine the loading action based on the hopper sensing data and the vehicle sensing data, the loading action including the material dropping height and the relative position relationship between the hopper and the vehicle; Correct the dust suppression area based on the material dropping height and the relative position relationship to obtain a target dust suppression area.

2. The method of claim 1, wherein, The control strategy of the spraying system is determined based on the wind direction information, the moisture content, and the area corresponding to the dust suppression area, comprising: Determine the target nozzle from the spraying system based on the area corresponding to the dust suppression area; Determine the jet angle and the erection height corresponding to the target nozzle based on the wind direction information; Determine the spraying parameters corresponding to the target nozzle based on the moisture content; Determine the control strategy of the spraying system based on the jet angle, the erection height, and the spraying parameters of the target nozzle.

3. The method of claim 2, wherein, The spraying parameters corresponding to the target nozzle are determined based on the moisture content, comprising: If the moisture content is greater than a first preset moisture content threshold and less than a second preset moisture content threshold, the spraying parameters corresponding to the target nozzle are determined as standard spraying parameters, the standard spraying parameters including standard spraying water volume and standard spraying frequency, and the first preset moisture content threshold is less than the second preset moisture content threshold; If the water content is greater than the second preset water content threshold, or the water content is less than the first preset water content, a correction parameter of a standard spraying parameter is determined based on the water content, so as to correct the standard spraying water amount and the standard spraying frequency based on the correction parameter.

4. The method of claim 1, wherein, The loading site operation data further includes operation data of loading and unloading equipment, and the method further includes: acquiring position information and a travel route of the vehicle, and determining transportation data of the vehicle based on the position information and the travel route; determining a material flow and a hopper operating state corresponding to the loading and unloading equipment based on the remote diffuse reflection sensing data; determining a single loading and unloading cycle based on the material flow, the hopper operating state, and the transportation data; determining a target control strategy corresponding to the spraying system based on the single loading and unloading cycle.

5. The method of claim 4, wherein, The method further includes: determining a loading speed and a material flow based on the single loading and unloading cycle; determining an adjustment strategy of the spraying system based on the loading speed and the material flow; correcting the control strategy based on the adjustment strategy to obtain a target control strategy of the spraying system.

6. The method of claim 5, wherein, The method further includes: acquiring remote diffuse reflection sensing data corresponding to the railway line, and determining a loading and unloading stage of the to-be-loaded article based on the remote diffuse reflection sensing data; if the loading and unloading stage represents that the loading operation is in an initial loading stage, adjusting the spraying area of the spraying system to be concentrated below the hopper and in front of the vehicle; if the loading and unloading stage represents that the loading operation is in a middle loading stage, expanding the spraying area of the spraying system, and adjusting the spraying intensity according to the material flow; if the loading and unloading stage represents that the loading operation is in a final loading stage, reducing the spraying area and adjusting the spraying area of the spraying system to be concentrated at the edge of the hopper and the rear of the vehicle.

7. A railway track line dry bulk loading and dust suppression system, comprising: The system uses the railway line bulk cargo loading dust suppression method according to any one of claims 1 to 6, characterized in that the system comprises an input device, a processor, an output device, and a memory, and the input device, the processor, the output device, and the memory are connected to each other, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions.

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