Road construction site all-weather flying dust online monitoring method and system

Abstract

The invention is suitable for the technical field of flying dust monitoring, and provides a road construction site all-weather flying dust online monitoring method and system, and the method comprises the following steps: collecting flying dust data and wind power information through a sensor; the particulate matter concentration is judged, and the particulate matter concentration exceeding the standard and the corresponding coordinate position, wind speed data and wind direction data are screened out; determining a flying dust source area according to the coordinate position, the wind speed data and the wind direction data; a road transportation monitoring video is called, and the area where the transportation vehicle is located is determined according to the time information and the road transportation monitoring video; a road construction map is called, and the area where the transport vehicle is located is marked in the road construction map; and comparing and analyzing the flying dust source area with a road construction map, determining a potential flying dust source position, and sending the potential flying dust source position to an inspection terminal. According to the invention, the flying dust pollution source can be accurately tracked, and the inspection personnel can quickly position the potential flying dust pollution source according to the information.

Description

Technical Field

[0001] The present invention relates to the technical field of dust monitoring, and in particular to a method and system for online monitoring of dust at a road construction site around the clock. Background Art

[0002] With the acceleration of urbanization, road construction activities are becoming more and more frequent, and the dust pollution problem is becoming increasingly serious. Dust not only seriously affects air quality, but may also pose a threat to the health of surrounding residents. Therefore, it is particularly important to monitor and effectively manage dust at road construction sites in real time. Traditional dust monitoring methods mainly rely on manual inspections and fixed-point monitoring stations. Although manual inspections can intuitively find problems, they are limited by manpower and time constraints and are difficult to achieve all-weather and all-round coverage. Although fixed-point monitoring stations can provide relatively accurate dust data, their coverage is limited and they cannot track the source and diffusion of dust in real time. In addition, road construction activities are often accompanied by a large number of transport vehicles, and the dust generated by these vehicles during driving is also a source of pollution that cannot be ignored. However, traditional monitoring methods often ignore this link, resulting in inaccurate determination of the source of dust. Therefore, it is necessary to provide a method and system for online monitoring of dust at road construction sites around the clock to solve the above problems. Summary of the invention

[0003] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a method and system for online monitoring of dust at a road construction site around the clock, so as to solve the problems existing in the above-mentioned background technology.

[0004] The present invention is implemented as follows: a method for online monitoring of dust at a road construction site around the clock, the method comprising the following steps: Collect dust data and wind information through sensors, the dust data including coordinate position, particle concentration and time information, and the wind information including wind speed data and wind direction data; Determine the particle concentration, filter out the particle concentration that exceeds the standard, and the corresponding coordinate position, wind speed data and wind direction data; Determine the dust source area according to the coordinate position, wind speed data and wind direction data; Retrieve road transport surveillance video and determine the area where the transport vehicle is located based on time information and road transport surveillance video; Retrieving a road construction map, wherein the road construction map includes a plurality of road construction areas, and marking the area where the transport vehicle is located on the road construction map; Compare and analyze the dust source area with the road construction map to determine the location of the potential dust source, and send the location of the potential dust source to the inspection terminal.

[0005] As a further solution of the present invention: the step of determining the dust source area according to the coordinate position, wind speed data and wind direction data specifically includes: Construct a three-dimensional wind field model based on wind speed data, wind direction data, terrain and building data; Based on the atmospheric diffusion model, the coordinates of the point where the particle concentration exceeds the standard and the three-dimensional wind field model, the diffusion path of the particles is simulated; Analyze the particle concentration distribution along the particle diffusion path and determine the dust source area.

[0006] As a further solution of the present invention: the step of simulating the diffusion path of particulate matter based on the atmospheric diffusion model, the coordinate position of the point where the particulate matter concentration exceeds the standard, and the three-dimensional wind field model specifically includes: Configure model parameters, including particle type, temperature, wind speed data, and wind direction data; The coordinates of the point where the particle concentration exceeds the standard are input into the atmospheric diffusion model as the starting point of the simulation and then imported into the three-dimensional wind field model; The diffusion path and concentration distribution of particulate matter are calculated in the atmospheric diffusion model software, and the simulation results are exported. The simulation results include the diffusion path of particulate matter, concentration distribution diagram and concentration change curve over time.

[0007] As a further solution of the present invention: the step of determining the area where the transport vehicle is located based on the time information and the road transport monitoring video specifically includes: Synchronize the time information of the particulate matter concentration exceeding the standard with the timestamp of the road transport monitoring video, and filter out the road transport monitoring video of the corresponding road section and time period; Identify and track the transport vehicles in the screened road transport monitoring videos, record the driving trajectory, speed, type and loading condition of the transport vehicles, and determine the area where the transport vehicles are located.

[0008] As a further solution of the present invention: the step of comparing and analyzing the dust source area with the road construction map, determining the potential dust source location, and sending the potential dust source location to the inspection terminal specifically includes: Determine the road construction areas and transport vehicle areas that are dust source areas based on the road construction map; Retrieving the operation video of the road construction area and the type of area where the transport vehicles are located and the loading conditions to determine the location of potential dust sources; An inspection route is formulated according to the location of potential dust sources, and the inspection route is sent to the inspection terminal.

[0009] Another object of the present invention is to provide a 24-hour online dust monitoring system for a road construction site, the system comprising: A dust data collection module is used to collect dust data and wind information through sensors, wherein the dust data includes coordinate position, particle concentration and time information, and the wind information includes wind speed data and wind direction data; The particle concentration determination module is used to determine the particle concentration and screen out the particle concentration that exceeds the standard, as well as the corresponding coordinate position, wind speed data and wind direction data; A dust source area module, used to determine the dust source area according to the coordinate position, wind speed data and wind direction data; The monitoring video analysis module is used to retrieve the road transport monitoring video and determine the area where the transport vehicle is located based on the time information and the road transport monitoring video; A road construction map module is used to retrieve a road construction map, wherein the road construction map includes a plurality of road construction areas, and mark the area where the transport vehicle is located in the road construction map; The dust source location module is used to compare and analyze the dust source area with the road construction map, determine the potential dust source location, and send the potential dust source location to the inspection terminal.

[0010] As a further solution of the present invention: the dust source area module includes: A wind farm three-dimensional model unit, used to construct a wind farm three-dimensional model based on wind speed data, wind direction data, and terrain and building data; Diffusion path simulation unit, used to simulate the diffusion path of particles based on the atmospheric diffusion model, the coordinate position of the point where the particle concentration exceeds the standard, and the three-dimensional model of the wind field; The dust source area unit is used to analyze the particle concentration distribution along the particle diffusion path and determine the dust source area.

[0011] As a further solution of the present invention: the diffusion path simulation unit includes: The configuration model parameter subunit is used to configure the model parameters, which include particle type, temperature, wind speed data and wind direction data; The atmospheric diffusion model subunit is used to input the coordinate position of the point where the particle concentration exceeds the standard into the atmospheric diffusion model as the starting point of the simulation and import it into the three-dimensional model of the wind field; The diffusion model simulation subunit is used to calculate the diffusion path and concentration distribution of particulate matter in the atmospheric diffusion model software and export the simulation results, which include the diffusion path of particulate matter, concentration distribution diagram and concentration change curve over time.

[0012] As a further solution of the present invention: the monitoring video analysis module includes: A monitoring video screening unit is used to synchronize the time information of the particulate matter concentration exceeding the standard with the timestamp of the road transport monitoring video, and screen out the road transport monitoring video of the corresponding road section and time period; The transport vehicle area unit is used to identify and track the transport vehicles in the screened road transport monitoring video, record the driving track, speed, type and loading condition of the transport vehicles, and determine the area where the transport vehicles are located.

[0013] As a further solution of the present invention: the dust source location module includes: A dust area determination unit is used to determine the road construction area and the area where the transport vehicles are located that belong to the dust source area according to the road construction map; A potential location determination unit is used to retrieve the operation video of the road construction area and the type of area where the transport vehicle is located and the loading situation to determine the location of the potential dust source; The inspection path sending unit is used to formulate an inspection path according to the location of potential dust sources and send the inspection path to the inspection terminal.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention can determine the dust source area according to the coordinate position, wind speed data and wind direction data, and determine the area where the transport vehicle is located according to the time information and the road transport monitoring video. In combination with the road construction map, the dust source area is compared and analyzed with the road construction map to determine the location of the potential dust source, thereby achieving accurate tracking of the dust pollution source. The inspection personnel can quickly locate the potential dust pollution source based on this information and take corresponding control measures, thereby achieving effective control of dust pollution at the road construction site. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 The figure is a flow chart of a method for online monitoring of dust around the clock at a road construction site.

[0016] Figure 2 The present invention is a flow chart for determining the dust source area in a 24-hour online dust monitoring method for a road construction site.

[0017] Figure 3 A flow chart for determining diffusion paths in an all-weather dust online monitoring method for road construction sites.

[0018] Figure 4 The present invention is a flow chart for determining the area where the transport vehicle is located in a method for all-weather dust online monitoring at a road construction site.

[0019] Figure 5 A flow chart for determining the location of potential dust sources in a 24-hour online dust monitoring method for road construction sites.

[0020] Figure 6 The schematic diagram is a structural diagram of an all-weather dust online monitoring system for road construction sites. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0022] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0023] like Figure 1 As shown, an embodiment of the present invention provides a method for online monitoring of dust at a road construction site around the clock, the method comprising the following steps: S100, collecting dust data and wind information through sensors, wherein the dust data includes coordinate position, particle concentration and time information, and the wind information includes wind speed data and wind direction data; S200, determining the particle concentration, screening out the particle concentration exceeding the standard, and the corresponding coordinate position, wind speed data and wind direction data; S300, determining the dust source area according to the coordinate position, wind speed data and wind direction data; S400, retrieve the road transport monitoring video, and determine the area where the transport vehicle is located according to the time information and the road transport monitoring video; S500, retrieving a road construction map, wherein the road construction map includes a plurality of road construction areas, and marking the area where the transport vehicle is located in the road construction map; S600, compare and analyze the dust source area with the road construction map, determine the potential dust source location, and send the potential dust source location to the inspection terminal.

[0024] It should be noted that the traditional dust monitoring method mainly relies on manual inspection and fixed-point monitoring stations. Although manual inspection can intuitively find problems, it is limited by manpower and time constraints and is difficult to achieve all-weather and all-round coverage. Although fixed-point monitoring stations can provide relatively accurate dust data, their coverage is limited and they cannot track the source and spread of dust in real time. The embodiments of the present invention are intended to solve the above problems.

[0025] In the embodiment of the present invention, dust data and wind information are first collected through sensors. Dust data is collected through PM2.5 sensors and PM10 sensors, and wind information is collected through wind speed sensors and wind direction sensors. The dust data includes coordinate position, particle concentration and time information. Then, the particle concentration is determined based on the dust data, the particle concentration exceeding the standard is screened out, and the coordinate position, wind speed data and wind direction data corresponding to the particle concentration exceeding the standard are determined to facilitate subsequent analysis. Then, the dust source area is determined based on the coordinate position, wind speed data and wind direction data. The range of the dust source area is relatively large, and the road transport monitoring video is retrieved. The area where the transport vehicle is located is determined based on the time information and the road transport monitoring video. In this way, it can help to better understand the impact of transport vehicles on dust pollution, and can also provide strong data support for subsequent dust control. Next, the road construction map will be retrieved, which contains several road construction areas. The area where the transport vehicle is located will be marked on the road construction map. Finally, the dust source area will be compared and analyzed with the road construction map to determine the location of the potential dust source, and the potential dust source location will be sent to the inspection terminal, thereby achieving accurate tracking of the dust pollution source. The inspection personnel can quickly locate the potential dust pollution source based on this information and take corresponding control measures, thereby achieving effective control of dust pollution at the road construction site.

[0026] like Figure 2 As shown, as a preferred embodiment of the present invention, the step of determining the dust source area according to the coordinate position, wind speed data and wind direction data specifically includes: S301, constructing a three-dimensional wind field model according to wind speed data, wind direction data, and terrain and building data; S302, simulating the diffusion path of the particles based on the atmospheric diffusion model, the coordinate position of the point where the particle concentration exceeds the standard, and the three-dimensional wind field model; S303, analyzing the particle concentration distribution on the particle diffusion path to determine the dust source area.

[0027] Furthermore, a three-dimensional wind field model is constructed based on wind speed data, wind direction data, terrain and building data. The specific steps are as follows: Determine a wind speed vector field according to wind speed data, wind direction data, terrain and building data, and decompose the wind speed vector field into a curl part and an irrotation part; In the curl part, the vector potential is obtained based on the wind speed data and wind direction data, and the curl operator is used to convert the vector potential into the curl vector representation of the wind speed; In the irrotational part, the scalar potential is calculated based on the wind speed data, and the gradient operator is used to convert the scalar potential into an irrotational vector representation of the wind speed; The curl vector representation of wind speed is superimposed with the irrotational vector representation of wind speed to obtain a complete wind speed vector field, and the initial three-dimensional wind field model is constructed through the complete wind speed vector field; Using wind speed data and wind direction data, training the initial three-dimensional wind field model; After the training is completed and verified, a three-dimensional model of the wind field is obtained.

[0028] In the embodiment of the present invention, in order to determine the dust source area, it is also necessary to collect terrain and building data, use a digital elevation model (DTM) or a topographic map to obtain the terrain data of the target area, the data should include the elevation, slope, slope direction and other information of the ground, and use a geographic information system (GIS) or architectural drawings to obtain the location, height, shape and other information of the buildings in the target area to consider the blocking and guiding effects of the buildings on the wind field. Then, a three-dimensional model of the wind field is constructed based on the wind speed data, wind direction data, and terrain and building data, and then the diffusion path of the particles is simulated based on the atmospheric diffusion model, the coordinate position of the point where the particle concentration exceeds the standard, and the three-dimensional model of the wind field, and finally the particle concentration distribution on the particle diffusion path is analyzed, and the dust source area can be determined.

[0029] like Figure 3 As shown, as a preferred embodiment of the present invention, the step of simulating the diffusion path of particulate matter based on the atmospheric diffusion model, the coordinate position of the point where the particulate matter concentration exceeds the standard, and the three-dimensional wind field model specifically includes: S3021, configuring model parameters, which include particle type, temperature, wind speed data, and wind direction data; S3022, input the coordinate position of the point where the particle concentration exceeds the standard into the atmospheric diffusion model as the starting point of the simulation, and import it into the three-dimensional wind field model; S3023, calculate the diffusion path and concentration distribution of particulate matter in the atmospheric diffusion model software, and export the simulation results, which include the diffusion path of particulate matter, concentration distribution diagram and concentration change curve over time.

[0030] Furthermore, the specific steps for obtaining the diffusion path of particles are as follows: Obtain the point where the particle concentration exceeds the standard and the amount of particles released per unit time; The Gaussian plume model is used as the atmospheric diffusion model to describe the distribution of particulate matter in space; Calculate the relative distance between a point in space and the point where the particle concentration exceeds the limit; The relative distance is squared to obtain a first square value, and the first square value is normalized to obtain a normalized diffusion distance; All normalized diffusion distances are added together and substituted into the exponential function to calculate the concentration attenuation factor; Based on the attenuation factor of the amount of particulate matter released per unit time and the concentration, combined with the Gaussian plume model, the distribution of particulate matter concentration is calculated; Based on the distribution of particle concentration and time, the diffusion path of the particles can be determined.

[0031] In the embodiment of the present invention, in order to obtain the diffusion path, it is first necessary to configure the model parameters in the atmospheric diffusion model software, wherein the model parameters include the type of particle, temperature, wind speed data and wind direction data, and then the coordinate position of the point where the particle concentration exceeds the standard is input into the atmospheric diffusion model as the starting point of the simulation, and the three-dimensional model of the wind field is imported to ensure that the model can accurately reflect the wind field characteristics in the target area, and then the simulation operation is started in the atmospheric diffusion model software, and the diffusion path and concentration distribution of the particles are calculated according to the input parameters and model configuration, and the simulation results are exported, and the simulation results include the diffusion path of the particles, the concentration distribution diagram and the concentration change curve over time. If it is found that the model results are significantly different from the actual situation, the accuracy of the input parameters and model configuration should be checked, and necessary adjustments and optimizations should be made.

[0032] like Figure 4 As shown, as a preferred embodiment of the present invention, the step of determining the area where the transport vehicle is located based on the time information and the road transport monitoring video specifically includes: S401, synchronizing the time information of the particulate matter concentration exceeding the standard with the time stamp of the road transport monitoring video, and screening the road transport monitoring video of the corresponding road section and time period; S402, identifying and tracking the transport vehicles in the screened road transport monitoring video, recording the driving track, speed, type and loading condition of the transport vehicles, and determining the area where the transport vehicles are located.

[0033] Furthermore, the specific steps of obtaining the driving trajectory of the transport vehicle are as follows: Obtain the initial position and initial speed of the transport vehicle; The acceleration of the vehicle in the horizontal direction is accumulated and calculated to obtain the accumulated value of the horizontal acceleration; the acceleration of the vehicle in the vertical direction is accumulated and calculated to obtain the accumulated value of the vertical acceleration; Add the initial velocity to the accumulated value of horizontal acceleration to get the horizontal velocity at any time; add the initial velocity to the accumulated value of vertical acceleration to get the vertical velocity at any time; Based on the initial position and the accumulated value of horizontal acceleration, the horizontal position at any time is determined; Based on the initial position and the accumulated value of vertical acceleration, the vertical position at any time is determined; The driving trajectory of the transport vehicle is obtained by integrating the horizontal acceleration, the vertical acceleration, the horizontal speed at any time, the vertical speed at any time, the horizontal position at any time and the vertical position at any time.

[0034] In an embodiment of the present invention, the time information of the particulate matter concentration exceeding the standard is automatically synchronized with the timestamp of the road transport monitoring video, and the road transport monitoring video of the corresponding road section and time period is screened out. Then, video analysis technology (such as target detection, tracking, etc.) is used to identify and track the transport vehicles in the screened road transport monitoring video, and the driving trajectory, speed, type (such as trucks, muck trucks, etc.) and loading conditions of the transport vehicles are recorded. According to the driving trajectory of the vehicle and the geographic coordinate information of the monitoring video, the area where the transport vehicle is located is determined.

[0035] like Figure 5 As shown, as a preferred embodiment of the present invention, the step of comparing and analyzing the dust source area with the road construction map, determining the potential dust source location, and sending the potential dust source location to the inspection terminal specifically includes: S601, determining the road construction area and the area where the transport vehicles are located that are dust source areas according to the road construction map; S602, retrieving the operation video of the road construction area and the type of area where the transport vehicles are located and the loading conditions to determine the location of the potential dust source; S603: formulate an inspection route according to the location of the potential dust source, and send the inspection route to the inspection terminal.

[0036] Furthermore, the operation video of the road construction area and the type of area where the transport vehicles are located and the loading conditions are retrieved to determine the location of the potential dust source. The specific steps are as follows: Set geographic and temporal scope; Get the concentration of particulate matter within a set geographic range, and get the wind speed value based on the set geographic range and time range; Match the concentration of particulate matter with the wind speed value on the same time range and determine the time step; At each time point in the time step, the concentration of the matched particles is multiplied by the wind speed value to obtain the first product; Based on the entire time step, performing an integration operation on the first product to obtain a cumulative value of the product; The intensity of the dust source is determined by the cumulative value of the product; The location of potential dust sources is determined by the intensity of the dust sources.

[0037] In an embodiment of the present invention, the road construction area and the area where the transport vehicles are located, which belong to the dust source area, are automatically determined based on the road construction map, and then the operation video of the road construction area and the type and loading conditions of the area where the transport vehicles are located are retrieved to determine the location of the potential dust source. For example, the operation video shows that the ongoing operation will cause dust, and the type and loading conditions of the transport vehicles will cause dust. Finally, an inspection route is formulated according to the location of the potential dust source.

[0038] like Figure 6 As shown, an embodiment of the present invention also provides a road construction site all-weather dust online monitoring system, the system comprising: The dust data collection module 100 is used to collect dust data and wind information through sensors, wherein the dust data includes coordinate position, particle concentration and time information, and the wind information includes wind speed data and wind direction data; The particle concentration determination module 200 is used to determine the particle concentration and screen out the particle concentration exceeding the standard, as well as the corresponding coordinate position, wind speed data and wind direction data; A dust source area module 300 is used to determine the dust source area according to the coordinate position, wind speed data and wind direction data; The monitoring video analysis module 400 is used to retrieve the road transport monitoring video and determine the area where the transport vehicle is located based on the time information and the road transport monitoring video; The road construction map module 500 is used to retrieve a road construction map, wherein the road construction map includes a plurality of road construction areas, and mark the area where the transport vehicle is located in the road construction map; The dust source location module 600 is used to compare and analyze the dust source area with the road construction map, determine the potential dust source location, and send the potential dust source location to the inspection terminal.

[0039] As a preferred embodiment of the present invention, the dust source area module 300 includes: A wind farm three-dimensional model unit, used to construct a wind farm three-dimensional model based on wind speed data, wind direction data, and terrain and building data; Diffusion path simulation unit, used to simulate the diffusion path of particles based on the atmospheric diffusion model, the coordinate position of the point where the particle concentration exceeds the standard, and the three-dimensional model of the wind field; The dust source area unit is used to analyze the particle concentration distribution along the particle diffusion path and determine the dust source area.

[0040] As a preferred embodiment of the present invention, the diffusion path simulation unit includes: The configuration model parameter subunit is used to configure the model parameters, which include particle type, temperature, wind speed data and wind direction data; The atmospheric diffusion model subunit is used to input the coordinate position of the point where the particle concentration exceeds the standard into the atmospheric diffusion model as the starting point of the simulation and import it into the three-dimensional model of the wind field; The diffusion model simulation subunit is used to calculate the diffusion path and concentration distribution of particulate matter in the atmospheric diffusion model software and export the simulation results, which include the diffusion path of particulate matter, concentration distribution diagram and concentration change curve over time.

[0041] As a preferred embodiment of the present invention, the monitoring video analysis module 400 includes: A monitoring video screening unit is used to synchronize the time information of the particulate matter concentration exceeding the standard with the timestamp of the road transport monitoring video, and screen out the road transport monitoring video of the corresponding road section and time period; The transport vehicle area unit is used to identify and track the transport vehicles in the screened road transport monitoring video, record the driving track, speed, type and loading condition of the transport vehicles, and determine the area where the transport vehicles are located.

[0042] As a preferred embodiment of the present invention, the dust source location module 600 includes: A dust area determination unit is used to determine the road construction area and the area where the transport vehicles are located that belong to the dust source area according to the road construction map; A potential location determination unit is used to retrieve the operation video of the road construction area and the type of area where the transport vehicle is located and the loading situation to determine the location of the potential dust source; The inspection path sending unit is used to formulate an inspection path according to the location of potential dust sources and send the inspection path to the inspection terminal.

[0043] The above only describes in detail the preferred embodiments of the present invention, which is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0044] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0045] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0046] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the disclosure in the specification and examples. This application is intended to cover any variations, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the claims.

Claims

1. A method for online monitoring of dust at a road construction site around the clock, characterized in that: The method comprises the following steps: Collect dust data and wind information through sensors, the dust data including coordinate position, particle concentration and time information, and the wind information including wind speed data and wind direction data; Determine the particle concentration, filter out the particle concentration that exceeds the standard, and the corresponding coordinate position, wind speed data and wind direction data; Determine the dust source area according to the coordinate position, wind speed data and wind direction data; Retrieve road transport surveillance video and determine the area where the transport vehicle is located based on time information and road transport surveillance video; Retrieving a road construction map, wherein the road construction map includes a plurality of road construction areas, and marking the area where the transport vehicle is located on the road construction map; Compare and analyze the dust source area with the road construction map to determine the potential dust source location, and send the potential dust source location to the inspection terminal; The step of determining the dust source area according to the coordinate position, wind speed data and wind direction data specifically includes: Construct a three-dimensional wind field model based on wind speed data, wind direction data, terrain and building data; Based on the atmospheric diffusion model, the coordinates of the point where the particle concentration exceeds the standard and the three-dimensional wind field model, the diffusion path of the particles is simulated; Analyze the particle concentration distribution along the particle diffusion path and determine the dust source area.

2. The all-weather dust online monitoring method for road construction sites according to claim 1 is characterized in that: Construct a three-dimensional wind field model based on wind speed data, wind direction data, terrain and building data. The specific steps are as follows: Determine a wind speed vector field according to wind speed data, wind direction data, terrain and building data, and decompose the wind speed vector field into a curl part and an irrotation part; In the curl part, the vector potential is obtained based on the wind speed data and wind direction data, and the curl operator is used to convert the vector potential into the curl vector representation of the wind speed; In the irrotational part, the scalar potential is calculated based on the wind speed data, and the gradient operator is used to convert the scalar potential into an irrotational vector representation of the wind speed; The curl vector representation of wind speed is superimposed with the irrotational vector representation of wind speed to obtain a complete wind speed vector field, and the initial three-dimensional wind field model is constructed through the complete wind speed vector field; Using wind speed data and wind direction data, training the initial three-dimensional wind field model; After the training is completed and verified, a three-dimensional model of the wind field is obtained.

3. The all-weather dust online monitoring method for road construction sites according to claim 2 is characterized in that: The step of simulating the diffusion path of particulate matter based on the atmospheric diffusion model, the coordinate position of the point where the particulate matter concentration exceeds the standard, and the three-dimensional wind field model specifically includes: Configure model parameters, including particle type, temperature, wind speed data, and wind direction data; The coordinates of the point where the particle concentration exceeds the standard are input into the atmospheric diffusion model as the starting point of the simulation and then imported into the three-dimensional wind field model; The diffusion path and concentration distribution of particulate matter are calculated in the atmospheric diffusion model software, and the simulation results are exported. The simulation results include the diffusion path of particulate matter, concentration distribution diagram and concentration change curve over time.

4. The all-weather dust online monitoring method for road construction sites according to claim 3 is characterized in that: Calculate the diffusion path and concentration distribution of particulate matter in the atmospheric diffusion model software, and export the simulation results, which include the diffusion path of particulate matter, concentration distribution diagram, and concentration change curve over time; The step of obtaining the diffusion path of the particles specifically includes the following sub-steps: Obtain the point where the particle concentration exceeds the standard and the amount of particles released per unit time; The Gaussian plume model is used as the atmospheric diffusion model to describe the distribution of particulate matter in space; Calculate the relative distance between a point in space and the point where the particle concentration exceeds the limit; The relative distance is squared to obtain a first square value, and the first square value is normalized to obtain a normalized diffusion distance; All normalized diffusion distances are added together and substituted into the exponential function to calculate the concentration attenuation factor; Based on the attenuation factor of the amount of particulate matter released per unit time and the concentration, combined with the Gaussian plume model, the distribution of particulate matter concentration is calculated; Based on the distribution of particle concentration and time, the diffusion path of the particles can be determined.

5. The all-weather dust online monitoring method for road construction sites according to claim 4 is characterized in that: The step of determining the area where the transport vehicle is located based on the time information and the road transport monitoring video specifically includes: Synchronize the time information of the particulate matter concentration exceeding the standard with the timestamp of the road transport monitoring video, and filter out the road transport monitoring video of the corresponding road section and time period; Identify and track the transport vehicles in the screened road transport monitoring videos, record the driving trajectory, speed, type and loading condition of the transport vehicles, and determine the area where the transport vehicles are located.

6. The all-weather dust online monitoring method for road construction sites according to claim 5 is characterized in that: In the step of identifying and tracking transport vehicles in the screened road transport monitoring video, recording the driving track, speed, type and loading condition of the transport vehicles, and determining the area where the transport vehicles are located; The step of obtaining the driving trajectory of the transport vehicle specifically includes the following sub-steps: Obtain the initial position and initial speed of the transport vehicle; The acceleration of the vehicle in the horizontal direction is accumulated and calculated to obtain the accumulated value of the horizontal acceleration; the acceleration of the vehicle in the vertical direction is accumulated and calculated to obtain the accumulated value of the vertical acceleration; Add the initial velocity to the accumulated value of horizontal acceleration to get the horizontal velocity at any time; add the initial velocity to the accumulated value of vertical acceleration to get the vertical velocity at any time; Based on the initial position and the accumulated value of horizontal acceleration, the horizontal position at any time is determined; Based on the initial position and the accumulated value of vertical acceleration, the vertical position at any time is determined; The driving trajectory of the transport vehicle is obtained by integrating the horizontal acceleration, the vertical acceleration, the horizontal speed at any time, the vertical speed at any time, the horizontal position at any time and the vertical position at any time.

7. The all-weather dust online monitoring method for road construction sites according to claim 6 is characterized in that: The step of comparing and analyzing the dust source area with the road construction map, determining the potential dust source location, and sending the potential dust source location to the inspection terminal specifically includes: Determine the road construction areas and transport vehicle areas that are dust source areas based on the road construction map; Retrieving the operation video of the road construction area and the type of area where the transport vehicles are located and the loading conditions to determine the location of potential dust sources; An inspection route is formulated according to the location of potential dust sources, and the inspection route is sent to the inspection terminal.

8. The all-weather dust online monitoring method for road construction sites according to claim 7 is characterized in that: The step of retrieving the operation video of the road construction area and the type of area where the transport vehicle is located and the loading situation to determine the location of the potential dust source specifically includes the following sub-steps: Set geographic and temporal scope; Get the concentration of particulate matter within a set geographic range, and get the wind speed value based on the set geographic range and time range; Match the concentration of particulate matter with the wind speed value on the same time range and determine the time step; At each time point in the time step, the concentration of the matched particles is multiplied by the wind speed value to obtain the first product; Based on the entire time step, performing an integration operation on the first product to obtain a cumulative value of the product; The intensity of the dust source is determined by the cumulative value of the product; The location of potential dust sources is determined by the intensity of the dust sources.

9. An all-weather dust online monitoring system for road construction sites, characterized in that: The system applies the all-weather dust online monitoring method for road construction sites as described in any one of claims 1 to 8 above, and the system comprises: A dust data collection module is used to collect dust data and wind information through sensors, wherein the dust data includes coordinate position, particle concentration and time information, and the wind information includes wind speed data and wind direction data; The particle concentration determination module is used to determine the particle concentration and screen out the particle concentration that exceeds the standard, as well as the corresponding coordinate position, wind speed data and wind direction data; A dust source area module, used to determine the dust source area according to the coordinate position, wind speed data and wind direction data; The monitoring video analysis module is used to retrieve the road transport monitoring video and determine the area where the transport vehicle is located based on the time information and the road transport monitoring video; A road construction map module is used to retrieve a road construction map, wherein the road construction map includes a plurality of road construction areas, and mark the area where the transport vehicle is located in the road construction map; The dust source location module is used to compare and analyze the dust source area with the road construction map, determine the potential dust source location, and send the potential dust source location to the inspection terminal.

10. The all-weather dust online monitoring system for road construction sites according to claim 9, characterized in that: The dust source area module includes: A wind farm three-dimensional model unit, used to construct a wind farm three-dimensional model based on wind speed data, wind direction data, and terrain and building data; Diffusion path simulation unit, used to simulate the diffusion path of particles based on the atmospheric diffusion model, the coordinate position of the point where the particle concentration exceeds the standard, and the three-dimensional model of the wind field; The dust source area unit is used to analyze the particle concentration distribution on the particle diffusion path and determine the dust source area; The diffusion path simulation unit comprises: The configuration model parameter subunit is used to configure the model parameters, which include particle type, temperature, wind speed data and wind direction data; The atmospheric diffusion model subunit is used to input the coordinate position of the point where the particle concentration exceeds the standard into the atmospheric diffusion model as the starting point of the simulation and import it into the three-dimensional model of the wind field; The diffusion model simulation subunit is used to calculate the diffusion path and concentration distribution of particulate matter in the atmospheric diffusion model software and export the simulation results, which include the diffusion path of particulate matter, concentration distribution diagram and concentration change curve over time; Wherein, the monitoring video analysis module includes: A monitoring video screening unit is used to synchronize the time information of the particulate matter concentration exceeding the standard with the timestamp of the road transport monitoring video, and screen out the road transport monitoring video of the corresponding road section and time period; The transport vehicle area unit is used to identify and track the transport vehicles in the screened road transport monitoring video, record the driving track, speed, type and loading condition of the transport vehicles, and determine the area where the transport vehicles are located; Wherein, the dust source location module includes: A dust area determination unit is used to determine the road construction area and the area where the transport vehicles are located that belong to the dust source area according to the road construction map; A potential location determination unit is used to retrieve the operation video of the road construction area and the type of area where the transport vehicle is located and the loading situation to determine the location of the potential dust source; The inspection path sending unit is used to formulate an inspection path according to the location of potential dust sources and send the inspection path to the inspection terminal.

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