A method and related products for monitoring road dust pollution

Abstract

The present invention relates to a method, device and computer-readable storage medium for monitoring road dust pollution. The method comprises obtaining a measured value of road surface dust concentration and a measured value of air dust concentration at a certain speed; calculating a first difference between the measured value of road surface dust concentration and the measured value of air dust concentration; comparing the first difference with a second difference corresponding to the same speed in a road dust standard, and determining the road dust pollution according to the difference between the first difference and the second difference. The road dust standard comprises calculating the first difference between road surface dust concentration and air dust concentration corresponding to different speeds according to the road surface dust concentration, air dust concentration and speed corresponding to different speeds in historical data, fitting a curve with the first difference and the speed, and determining the road dust standard according to the curve. Through the scheme of the present invention, the problem that the urban road pollution evaluation method cannot provide correct guidance for environmental protection and sanitation operations is solved.

Description

Technical Field

[0001] The present invention generally relates to the field of environmental pollution monitoring technology. More specifically, the present invention relates to a method, a device and a computer-readable storage medium for monitoring road dust pollution. Background Art

[0002] As my country attaches more importance to environmental protection, the intensity of environmental protection inspections at all levels has been continuously increased, the phenomenon of enterprises secretly discharging and leaking has been stopped, and low-level production capacity such as scattered coal heating and small workshop processing has been further cleaned up. The contribution of industrial emissions and coal burning to PM2.5 has gradually decreased, making the proportion of dust pollution increasing.

[0003] Road dust refers to dust on the road that is lifted up and mixed once or multiple times under certain dynamic conditions (such as wind, motor vehicle rolling or crowd activities), and enters the air to form particles with a certain particle size distribution. One of the important indicators of road dust emissions is the road dust load. Road dust load refers to the mass of dust that can pass through a 200-mesh standard sieve (equivalent to a geometric particle size of less than 75 microns) per unit road area. Road dust load monitoring does not monitor the dust on the roadside, but monitors the dust on the roadside where vehicles pass.

[0004] There are currently two main monitoring methods for road dust monitoring: one is the traditional manual road dust load monitoring. Manual monitoring requires sampling points and carrying sampling equipment, which is greatly affected by factors such as time, space, and weather. The workload is relatively cumbersome, and data analysis can only be performed after various analysis tasks are completed. The monitoring cycle is long. The other is vehicle-mounted road dust load monitoring. Vehicle-mounted road dust load monitoring is a rapid cruise monitoring that uses a vehicle-mounted road dust detection system to monitor road dust data generated during vehicle driving, thereby calculating the road dust situation and conducting dust emission statistics for each section of the city. This monitoring method is not affected by factors such as time and space environment, and can upload data in real time to obtain road environment analysis, providing fast and effective data support for the control of urban road dust.

[0005] In some megacities or large cities, the most intensive environmental supervision has made the proportion of haze in these cities' pollution reach a relatively low level, and different pollution level standards for different roads have been formulated accordingly. However, if other cities adopt the pollution level standards formulated by these cities, it may cause local haze pollution to account for about 75%, thereby further highlighting local pollution sources and easily leading to a "one-size-fits-all" approach to environmental governance, which cannot provide correct guidance for the governance of local pollution.

[0006] Therefore, in view of the problem that the current urban road pollution assessment method cannot provide accurate guidance for environmental protection and sanitation operations, how to judge the environmental pollution situation of different roads based on local actual conditions is of great significance to local pollution control. Summary of the invention

[0007] In order to solve one or more of the above technical problems, the present invention proposes to obtain the local road dust pollution standard through a vehicle-mounted road dust monitoring method, and judge the dust pollution situation of each local road in combination with the local road dust pollution standard, so as to provide accurate data guidance for local smoke and dust pollution control, so as to achieve effective environmental control. To this end, the present invention provides solutions in the following aspects.

[0008] In a first aspect, the present invention provides a method for monitoring road dust pollution, the method comprising: obtaining a measured value of a road surface dust concentration and a measured value of an air dust concentration at a certain speed; calculating a first difference between the measured value of the road surface dust concentration and the measured value of the air dust concentration; comparing the first difference with a second difference corresponding to the same speed in a road dust standard, and determining the road dust pollution according to the difference between the first difference and the second difference, wherein the road dust standard comprises: calculating a first difference between a road surface dust concentration and an air dust concentration corresponding to different speeds according to road surface dust concentration, air dust concentration and speed corresponding to different speeds in historical data, fitting a road dust standard curve by using the first difference and the speed, and determining the road dust standard according to the road dust standard curve.

[0009] In one embodiment, the road dust standard curve includes a plurality of curves, each curve corresponding to a corresponding level of road dust standard and level threshold.

[0010] In one embodiment, determining the road dust pollution situation based on the difference between the first difference and the second difference includes: calculating a third difference between the first difference and the second difference, and in response to the third difference being within a level threshold range corresponding to a road dust standard of a corresponding level, determining that the road dust pollution situation corresponds to the corresponding level.

[0011] In one embodiment, the road dust standard includes a road dust standard function, and the method further includes: calculating the road dust emission potential according to the first difference, the speed and the road dust standard function.

[0012] In one embodiment, the method further comprises: sorting the road cleanliness levels according to the road dust emission potential, wherein a larger value of the road dust emission potential corresponds to a worse road cleanliness level.

[0013] In one embodiment, the road dust standard function is expressed by the following formula:

[0014]

[0015] Where T T is the PM10 concentration on the roof, T B is the PM10 concentration under the vehicle, s T is the vehicle speed, a and b are coefficients, where a is related to the amount of dust accumulated on the road surface, and b is related to the proportion of particles of different sizes in the dust.

[0016] In one embodiment, the road dust emission potential is calculated using the following formula:

[0017]

[0018] Where Ф is the road dust emission potential, k is a constant, T is the concentration difference, s T is the vehicle speed, and b is related to the proportion of particles of different sizes in the dust accumulation.

[0019] In one embodiment, the road surface dust concentration is detected and acquired by a dust concentration sensor disposed at the bottom of the vehicle, and the airborne dust concentration is detected and acquired by a dust concentration detection sensor disposed at the roof of the vehicle.

[0020] In a second aspect, the present invention further provides a device for monitoring road dust pollution, comprising: a processor; and a memory storing computer instructions for monitoring road dust pollution, wherein when the computer instructions are executed by the processor, the electronic device executes the methods described in the multiple embodiments of the first aspect above.

[0021] In a third aspect, a computer-readable storage medium stores computer-readable instructions for monitoring road dust pollution, and when the computer-readable instructions are executed by one or more processors, the methods described in the multiple embodiments of the first aspect are implemented.

[0022] Through the scheme of the present invention, it is possible to combine the local road dust data analysis process to obtain the road dust pollution standard applicable to the local area, so as to judge the pollution conditions of different roads according to the local road dust measurement data, thereby achieving an accurate evaluation of the local road dust pollution conditions, so that the environmental protection department can formulate reasonable environmental protection operation plans for different roads. Furthermore, it is also possible to formulate different levels of road dust pollution standards according to the road dust standard curve and level threshold, so as to provide more refined pollution control guidance measures. In addition, it is also possible to determine the road dust standard function through the road dust standard curve, and calculate the road dust emission potential, so as to quantify the pollution conditions of different urban roads, so as to form a street cleanliness ranking and accurately calculate the contribution of traffic road dust to pollution. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0024] Figure 1 is a schematic diagram schematically illustrating a scenario of monitoring road dust pollution according to an embodiment of the present invention;

[0025] Figure 2 is a schematic diagram schematically illustrating a method for monitoring road dust pollution according to an embodiment of the present invention;

[0026] Figure 3 is a schematic diagram schematically illustrating another method for monitoring road dust pollution according to an embodiment of the present invention;

[0027] Figure 4 is a schematic diagram schematically showing the dust pollution standard of a certain city road by applying the solution of the present invention;

[0028] Figure 5 It is a partial schematic diagram schematically showing the results of monitoring dust pollution on a city road by applying the solution of the present invention;

[0029] Figure 6 is a schematic block diagram showing a device for monitoring road dust pollution according to an embodiment of the present invention. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0031] It should be understood that the terms "first", "second", "third" and "fourth" etc. in the claims, specifications and drawings of the present invention are used to distinguish different objects rather than to describe a specific order. The terms "include" and "comprise" used in the specification and claims of the present invention indicate the presence of the described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or their collections.

[0032] It should also be understood that the terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the claims, the singular forms of "a", "an" and "the" are intended to include the plural forms unless the context clearly indicates otherwise. It should also be further understood that the term "and / or" used in the specification of the present invention and the claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0033] As used in this specification and claims, the term "if" may be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" may be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0034] The specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0035] Figure 1 Schematic diagram schematically illustrating a scene 100 for monitoring road dust pollution according to an embodiment of the present invention.

[0036] like Figure 1As shown, according to the solution of the present invention, a road dust monitoring system can be mounted on a vehicle to monitor the road dust data excited during the vehicle's driving process. The road dust monitoring system may include a first particle concentration measurement module, a second particle concentration detection module, a vehicle speed detection module, and an information processing center. The first particle concentration detection module may be arranged on the top of the vehicle to detect the air dust concentration. The second particle concentration detection module may be arranged at the bottom of the vehicle to detect the road surface dust concentration. The vehicle speed detection module may obtain the speed of the vehicle during driving. The information processing center, such as a processor, may analyze the road dust situation in a certain area based on the road dust data and speed information. After the first particle concentration detection module and the second particle concentration detection module obtain the dust concentration information at the top and bottom of the vehicle respectively, they may send it to the information processing center, and the vehicle speed detection module may send the speed information to the information processing center, thereby realizing the analysis of the road dust pollution situation in the area.

[0037] In one embodiment, the information processing center here can be implemented as a computing unit or module, and is used to perform information processing (including various data computing operations) and optionally perform master control operations on various interconnected devices. In operation, the information processing center can obtain the road dust situation in the area based on the acquired concentration information and speed, and obtain the road dust pollution standard applicable to the area by analyzing the road dust data, so as to determine the road dust pollution situation for each road section in the area, thereby providing correct guidance for environmental protection measures for different road sections.

[0038] Figure 2 2 is a schematic diagram schematically illustrating a method 200 for monitoring road dust pollution according to an embodiment of the present invention. It can be understood that Figure 2 The method flow shown in Figure 1 , so regarding Figure 1 The content described above (e.g. regarding the particle concentration detection module) also applies to Figure 2 .

[0039] like Figure 2 As shown, at step S201, the measured value of the road surface dust concentration and the measured value of the air dust concentration at a certain speed are obtained. In some embodiments, by real-time monitoring of road dust in a city and based on the particle (or dust) concentration sensors on the top and bottom of the vehicle, the measured value of the road surface dust concentration and the measured value of the air dust concentration at the corresponding speed can be obtained.

[0040] At step S202, a first difference between the measured value of the road surface dust concentration and the measured value of the air dust concentration is calculated. In some embodiments, in order to determine the road dust situation in different road sections in a city, a road dust monitoring system can be used to obtain the measured value of the road surface dust concentration and the measured value of the air dust concentration in the road section to be monitored, and the first difference between the two measured values ​​is calculated, thereby realizing the analysis of the dust pollution situation of the road section.

[0041] At step S203, the first difference is compared with the second difference corresponding to the same speed in the road dust standard, and the road dust pollution is determined according to the difference between the first difference and the second difference. In some embodiments, the first difference is compared with the second difference corresponding to the same speed in the road dust standard. If the first difference is higher than the second difference corresponding to the same speed in the road dust standard, it can be considered that the road surface dust is polluted or the road is not clean. Further, if the road dust standard has multiple curves of different levels, it can also be determined that the range in which the difference of the measured value falls, thereby determining the dust pollution level of the road.

[0042] In an application scenario, the present invention also provides a method for fitting a road dust standard curve based on the difference between the road surface dust concentration and the air dust concentration and the speed. Specifically, the road surface dust concentration, the air dust concentration and the corresponding speed can be obtained from historical data, and the difference between the road surface dust concentration and the air dust concentration at different speeds can be determined. The obtained speed is used as the independent variable, and the difference between the road surface dust concentration and the air dust concentration (the second difference) is used as the dependent variable for fitting operation to obtain the road dust standard curve.

[0043] In actual monitoring, first, a large amount of monitoring data in the city can be obtained, and then the second difference is calculated based on the obtained road surface dust concentration and air dust concentration, and the second difference and speed are stored as historical data. Then, the historical data can be used to obtain the curve corresponding to the second difference and speed by fitting, that is, the road dust standard curve. The road dust standard curve can represent the average level of the overall road dust in the city. Using the road dust standard curve as a benchmark, the actual pollution conditions of different sections of the city can be determined. Furthermore, the road dust standard curve can include multiple curves, each curve corresponding to a corresponding level of road dust standard and level threshold. For example, a road dust standard curve obtained can be longitudinally translated to obtain a determination curve for different pollution levels.

[0044] Combination of the above Figure 2 The method for monitoring road dust pollution in the present invention is described in detail, and then the method for quantitatively calculating and ranking different road pollution conditions in the present invention will be explained.

[0045] Figure 3 FIG. 3 is a schematic diagram schematically illustrating another method 300 for monitoring road dust pollution according to an embodiment of the present invention. It can be understood that Figure 3 The method flow shown in Figure 1 , so regarding Figure 1 The content described above (e.g. regarding the particle concentration detection module) also applies to Figure 3 .

[0046] like Figure 3 As shown, at step S301, a third difference between the first difference and the second difference is calculated. In some embodiments, a road dust standard curve can be obtained through a data fitting process, and a functional relationship corresponding to the road dust standard curve can be generated, that is, a functional relationship between the difference between the road surface dust concentration and the air dust concentration and the vehicle speed.

[0047] In an application scenario, the functional relationship between the difference between the road surface dust concentration and the air dust concentration and the vehicle speed is expressed by the following formula (1):

[0048]

[0049] Where T T is the PM10 concentration on the roof, T B is the PM10 concentration under the vehicle, s T is the vehicle speed, a and b are coefficients, where a is related to the amount of dust accumulated on the road surface, and b is related to the proportion of particles of different sizes in the dust.

[0050] The second difference corresponding to different speeds on the curve can be obtained by using formula (1). By calculating the deviation between the first difference and the second difference, the corresponding road dust pollution situation can be determined.

[0051] At step S302, in response to the third difference being between the level thresholds corresponding to the road dust standard of the corresponding level, it is determined that the road dust pollution situation corresponds to the corresponding level. In some embodiments, when the calculated third difference is between the level thresholds corresponding to two road dust standards, the corresponding pollution level can be determined. For example, if the calculated third difference is greater than the level threshold range of light pollution, it can be determined that the road dust pollution situation is at a light pollution level.

[0052] At step S303, the road dust emission potential is calculated based on the first difference, the speed and the road dust standard function. In some embodiments, the road dust emission potential (dimensionless data) can be obtained based on the data of road dust, vehicle speed and vehicle weight generated by the vehicle during driving, and the data is proportional to the road dust load.

[0053] The road dust emission potential can be calculated using the following formula (2):

[0054]

[0055] Where Ф is the road dust emission potential, k is a constant, T is the concentration difference, s T is the vehicle speed, and b is related to the proportion of particles of different sizes in the dust accumulation.

[0056] The above formula can be used to calculate the dust emission potential of a road in a city. The dust emission potential can represent the cleanliness of the road surface. Therefore, the above formula can be used to quantitatively calculate the cleanliness of each road in the city. Since the proportion of particles of various sizes in the road dust is relatively fixed over a period of time, the above b constant can be considered to be relatively fixed (for example, about 2.1). The a constant changes with the amount of road dust.

[0057] At step S304, the road cleanliness is ranked according to the road dust emission potential, wherein the greater the value of the road dust emission potential, the worse the corresponding road cleanliness. In some embodiments, for example, the above formula (2) can calculate the emission potential of each road in the city, and the cleanliness of different roads in the city can be ranked according to the emission potential, so as to take dust prevention and control measures according to different pollution conditions. As an example, more sprinklers can be deployed in sections with higher emission potential to reduce road dust pollution.

[0058] Figure 4 It is a schematic diagram schematically showing the application of the solution of the present invention to a certain city road dust pollution standard 400. Figure 5 It is a partial schematic diagram schematically showing the result 500 of monitoring dust pollution on a city road using the solution of the present invention.

[0059] At 11:00 on a certain day of a certain month of a certain year, a vehicle-borne dust monitoring was conducted on 25 main roads in a certain city, and the monitoring ended at 23:00 on the same day. The cleanliness (or dust pollution) of each road was analyzed using the method of the present invention. Specifically, a large amount of road surface dust concentration and air dust concentration data of the 25 roads were obtained, and the concentration difference was obtained, and the corresponding vehicle speed information was obtained at the same time. The road dust standard curve of the 25 main roads was obtained according to the data fitting method to obtain the road dust pollution standard (such as Figure 4 The road dust pollution standard shown in the figure divides the road dust pollution level into four levels). Next, the dust pollution situation of each road can be determined according to the road dust standard curve. The road dust standard curve can also be used to calculate the road dust pollution level. Figure 5 The dust emission potential of each road section shown in the table is used to rank the cleanliness of the 25 roads. The ranking of the emission potential of the 25 roads in the city is recorded in Table 1 below.

[0060] Table 1

[0061]

[0062]

[0063] By combining Table 1 and Figure 4 and Figure 5 (Local) It can be seen that the dust accumulation on the roads in the city is quite serious, and streets of various attributes have different degrees of dust pollution. Among the monitored roads, streets with good cleanliness only account for 8% of all streets. The 8 main roads monitored are all seriously polluted by dust accumulation on the roads. The pollution conditions of secondary roads in different areas are different. The ring roads are affected by soil dust from exposed fields in the suburbs, and the pollution is also serious. On the overall scale of the city, the dust accumulation in the northwest is more serious than that in the southeast. Through the above data and the relevant conditions of urban roads, it can be seen that the dust accumulation on the roads in the city is quite serious, and due to the recent construction of many road projects, the pollution degree of secondary roads has increased. Therefore, when controlling the dust pollution on the roads, more sprinklers can be deployed on the roads with serious pollution or the frequency of sprinkler can be increased to achieve effective control of road dust pollution.

[0064] Figure 6 6 is a schematic block diagram of a device 600 for monitoring road dust pollution according to an embodiment of the present invention. The device 600 for monitoring road dust pollution may include a device 601 according to an embodiment of the present invention and its peripheral devices and external network. The device 601 implements operations such as receiving data, data fitting, and comparative analysis to achieve the aforementioned combination Figures 2 to 3 The scheme of the present invention.

[0065] like Figure 6 As shown in , the device 601 may include a CPU 6011, which may be a general-purpose CPU, a dedicated CPU, or other information processing and program execution units. Further, the device 601 may also include a large-capacity memory 6012 and a read-only memory ROM 6013, wherein the large-capacity memory 6012 may be configured to store various types of data and various programs required for calculating the characteristic value distance, and the ROM 6013 may be configured to store the power-on self-test of the device 601, the initialization of each functional module in the system, the basic input / output driver of the system, and the data required for booting the operating system.

[0066] Further, the device 601 also includes other hardware platforms or components, such as the TPU (Tensor Processing Unit) 6014, GPU (Graphic Processing Unit) 6015, FPGA (Field Programmable Gate Array) 6016 and MLU (Memory Logic Unit) 6017. It is understood that although a variety of hardware platforms or components are shown in the device 601, this is merely exemplary and not restrictive, and those skilled in the art can add or remove corresponding hardware according to actual needs. For example, the device 601 may include only a CPU as a known hardware platform and another hardware platform as a test hardware platform of the present invention.

[0067] The device 601 of the present invention also includes a communication interface 6018, so that it can be connected to a local area network / wireless local area network (LAN / WLAN) 605 through the communication interface 6018, and then connected to a local server 606 or to the Internet ("Internet") 607 through the LAN / WLAN. Alternatively or additionally, the device 601 of the present invention can also be directly connected to the Internet or a cellular network through the communication interface 6018 based on wireless communication technology, such as wireless communication technology based on the third generation ("3G"), the fourth generation ("4G") or the fifth generation ("5G") . In some application scenarios, the device 601 of the present invention can also access a server 608 of an external network and a possible database 609 as needed.

[0068] The peripheral devices of the device 601 may include a display device 602, an input device 603, and a data transmission interface 604. In one embodiment, the display device 602 may include, for example, one or more speakers and / or one or more visual displays. The input device 603 may include, for example, a keyboard, a mouse, a microphone, a gesture capture camera, or other input buttons or controls, which are configured to receive input or user instructions for data. The data transmission interface 604 may include, for example, a serial interface, a parallel interface, or a universal serial bus interface ("USB"), a small computer system interface ("SCSI"), a serial ATA, a FireWire ("FireWire"), a PCI Express, and a high-definition multimedia interface ("HDMI"), etc., which are configured for data transmission and interaction with other devices or systems.

[0069] The CPU 6011, the mass storage 6012, the read-only memory ROM 6013, the TPU 6014, the GPU 6015, the FPGA 6016, the MLU 6017 and the communication interface 6018 of the device 601 of the present invention can be connected to each other through a bus 6019, and data interaction with peripheral devices can be achieved through the bus. In one embodiment, through the bus 6019, the CPU 6011 can control other hardware components in the device 601 and its peripheral devices.

[0070] During operation, the processor CPU 6011 of the device 601 of the present invention can obtain the image of the status indication color block through the input device 603 or the data transmission interface 604, and call the computer program instructions or codes stored in the memory 6012 to process the road dust data to complete the determination of the road dust pollution situation.

[0071] As can be seen from the above description of the modular design of the present invention, the system of the present invention can be flexibly arranged according to the application scenario or demand without being limited to the architecture shown in the accompanying drawings. Further, it should also be understood that any module, unit, component, server, computer or device that performs the operation of the example of the present invention may include or otherwise access a computer-readable medium, such as a storage medium, a computer storage medium or a data storage device (removable) and / or non-removable) such as a disk, an optical disk or a tape. Computer storage media may include volatile and non-volatile, removable and non-removable media implemented by any method or technology for storing information, such as computer-readable instructions, data structures, program modules or other data. Based on this, the present invention also discloses a computer-readable storage medium, on which computer-readable instructions for monitoring road dust pollution are stored, and when the computer-readable instructions are executed by one or more processors, the method and operation described in conjunction with the accompanying drawings are implemented.

[0072] Although this specification has shown and described a plurality of embodiments of the present invention, it is obvious to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will appreciate many changes, modifications and alternatives without departing from the thought and spirit of the present invention. It should be understood that in the process of practicing the present invention, various alternatives to the embodiments of the present invention described herein may be adopted. The attached claims are intended to define the scope of protection of the present invention, and therefore cover the modular compositions, equivalents or alternatives within the scope of these claims.

Claims

1. A method for monitoring road dust pollution, characterized in that: The method comprises: Obtain the measured values ​​of the dust concentration on the road surface and the dust concentration in the air at a certain speed; Calculating a first difference between the measured value of the road surface dust concentration and the measured value of the air dust concentration; The first difference is compared with the second difference corresponding to the same speed in the road dust standard, and the road dust pollution situation is determined according to the difference between the first difference and the second difference, wherein the road dust standard includes: calculating the first difference between the road surface dust concentration and the air dust concentration corresponding to different speeds according to the road surface dust concentration, the air dust concentration and the speed in the historical data, fitting the first difference and the speed to obtain a road dust standard curve, and determining the road dust standard according to the road dust standard curve; The road dust standard includes a road dust standard function, and the method further includes: calculating the road dust emission potential according to the first difference, the speed and the road dust standard function; The method further includes: sorting the road cleanliness levels according to the road dust emission potential, wherein a greater value of the road dust emission potential corresponds to a worse road cleanliness level; The road dust standard function is expressed by the following formula: Where T T is the PM10 concentration on the roof, T B is the PM10 concentration under the vehicle, s T is the vehicle speed, a and b are coefficients, where a is related to the amount of dust accumulated on the road surface, and b is related to the proportion of particles of various sizes in the dust accumulation; the dust emission potential of the road surface is calculated using the following formula: Where Ф is the road dust emission potential, k is a constant, T is the concentration difference, s T is the vehicle speed, and b is related to the proportion of particles of various sizes in the accumulated dust; wherein the road surface dust concentration is obtained by detecting a dust concentration sensor arranged at the bottom of the vehicle, and the air dust concentration is obtained by detecting a dust concentration detection sensor arranged on the roof of the vehicle.

2. The method for monitoring road dust pollution according to claim 1, characterized in that: The road dust standard curve includes a plurality of curves, each of which corresponds to a road dust standard and a level threshold of a corresponding level.

3. The method for monitoring road dust pollution according to claim 2, characterized in that: Determining the road dust pollution situation based on the difference between the first difference and the second difference includes: calculating a third difference between the first difference and the second difference; In response to the third difference being within a level threshold range corresponding to a road dust standard of a corresponding level, it is determined that the road dust pollution condition corresponds to the corresponding level.

4. A device for monitoring road dust pollution, characterized in that: include: processor; as well as A memory storing computer instructions for monitoring road dust pollution. When the computer instructions are executed by the processor, the device executes the method according to any one of claims 1 to 3.

5. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-readable instructions for monitoring road dust pollution, and the computer-readable instructions, when executed by one or more processors, implement the method according to any one of claims 1 to 3.

Images