A system and method for evaluating road cleanliness

Abstract

The present disclosure relates to a system and method for evaluating the cleanliness of a road. The system includes a first dust monitoring device, which is arranged at the roof of a vehicle and is configured to monitor first monitoring data of dust at the roof of the vehicle during driving; a second dust monitoring device, which is arranged at the rear of the vehicle and is configured to monitor second monitoring data of dust at the rear of the vehicle during driving; and an evaluation device, which is configured to: determine the dust emission factor of the road based on the first monitoring data, the second monitoring data and the vehicle information of the vehicle; and calibrate the dust emission factor to obtain the dust load of the road to evaluate the cleanliness of the road. Using the disclosed solution, accurate dust load data can be obtained, which is conducive to accurately evaluating the cleanliness of the road.

Description

Technical Field

[0001] The present disclosure generally relates to the field of particle detection technology. More specifically, the present disclosure relates to a system and method for evaluating road cleanliness. Background Art

[0002] This section is intended to provide background or context for the embodiments of the present disclosure set forth in the claims. The descriptions herein may include concepts that may be explored, but not necessarily concepts that have been previously thought of or explored. Therefore, unless otherwise noted herein, the content described in this section is not prior art with respect to the specification and claims of the present application, and is not admitted to be prior art by inclusion in this section.

[0003] The increase of urban atmospheric particulate matter is an important cause of urban haze weather, and road dust is one of the main sources of atmospheric particulate matter in many cities. However, due to the large area and long routes of urban roads, as well as factors such as damage or construction of some roads and road traffic volume, the traditional dust suction and weighing method cannot truly reflect the dust accumulation of the road, and thus cannot accurately analyze the particle concentration in the road dust of the entire road section. At present, the use of vehicle-mounted cruise monitoring has become a development trend. However, the fan speed of the sensor carried in the vehicle-mounted cruise monitoring is fixed, which is prone to cause the accumulation of large particles during monitoring, resulting in a large error in monitoring the road dust concentration, which in turn leads to inaccurate monitoring data. Summary of the invention

[0004] In order to at least solve the above problems, the present disclosure proposes a system and method for evaluating road cleanliness, that is, monitoring the monitoring data of dust at the roof and the rear of the vehicle by a first dust monitoring device and a second dust monitoring device, and determining the dust emission factor in combination with vehicle information. Furthermore, by calibrating the dust emission factor, accurate dust load data can be obtained to accurately evaluate the cleanliness of the road. In view of this, the present disclosure provides corresponding solutions in the following aspects.

[0005] In a first aspect, the present disclosure provides a system for evaluating the cleanliness of a road, comprising: a first dust monitoring device, which is arranged at the roof of a vehicle and is configured to monitor first monitoring data of dust at the roof of the vehicle during driving; a second dust monitoring device, which is arranged at the rear of the vehicle and is configured to monitor second monitoring data of dust at the rear of the vehicle during driving; and an evaluation device, which is configured to: determine a dust emission factor of the road based on the first monitoring data, the second monitoring data and vehicle information of the vehicle; and calibrate the dust emission factor to obtain the dust load of the road to evaluate the cleanliness of the road.

[0006] In one embodiment, the first dust monitoring device and the second dust monitoring device include: a speed measuring module, a main control module, and a dust monitoring module, wherein the speed measuring module is arranged on the vehicle and is configured to obtain vehicle information of the vehicle, wherein the vehicle information of the vehicle includes the driving speed of the vehicle; the main control module is connected to the dust monitoring module and the speed measuring module, and is configured to control the sampling speed of the dust monitoring module according to the driving speed of the vehicle; and the dust monitoring module is configured to sample dust according to the driving speed of the vehicle to monitor the first monitoring data at the roof of the vehicle and the second monitoring data at the rear of the vehicle.

[0007] In another embodiment, the dust monitoring module includes a flow meter, an air intake pipe, a motor and a sensor, wherein the air intake pipe connects the flow meter and the motor and is configured to transport gas, wherein the gas contains the dust; the flow meter is arranged on the main control module and is configured to measure the gas flow entering the air intake pipe according to the driving speed of the vehicle and the sampling speed; the motor is configured to control the sampling speed; and the sensor is connected to the motor and is configured to monitor the first monitoring data at the roof of the vehicle and the second monitoring data at the rear of the vehicle according to the gas flow.

[0008] In yet another embodiment, the sensor includes a laser transmitter and a light receiver, the laser sensor is opposite to the light receiver, and an air inlet and an air outlet are arranged in a direction perpendicular to the direction of the laser transmitter and the light receiver, the air inlet is opposite to the air outlet, and the air inlet is connected to the motor.

[0009] In yet another embodiment, in monitoring the first monitoring data at the roof of the vehicle and the second monitoring data at the rear of the vehicle based on the gas flow, the sensor is further configured to monitor the first monitoring data at the roof of the vehicle and the second monitoring data at the rear of the vehicle based on the gas flow entering between the laser transmitter and the light receiver through the air inlet.

[0010] In yet another embodiment, in determining the dust emission factor of the road based on the first monitoring data, the second monitoring data and the vehicle information of the vehicle, the evaluation device is further configured to: obtain the dust concentration difference between the rear of the vehicle and the roof of the vehicle according to the first monitoring data and the second monitoring data; and fit the dust concentration difference with the vehicle information to determine the dust emission factor of the road.

[0011] In yet another embodiment, in calibrating the dust emission factor to obtain the dust load of the road to evaluate the cleanliness of the road, the evaluation device is further configured to: collect original dust loads at multiple sections on the road; and calibrate the dust emission factor using the original dust load at each section to obtain the final dust load of the road.

[0012] In yet another embodiment, in collecting the original dust load at multiple sections on the road, the evaluation device is further configured to: collect road dust within one square meter at each section; filter the road dust; and weigh the filtered road dust to obtain the original dust load at each section.

[0013] In yet another embodiment, in calibrating the dust emission factor using the original dust load at each of the road sections to obtain the final dust load of the road, the evaluation device is further configured to fit the original dust load at each of the road sections with the dust emission factor to obtain the final dust load of the road.

[0014] In a second aspect, the present disclosure provides a method for evaluating road cleanliness, comprising: using a first dust monitoring device to monitor first monitoring data of dust at the roof of a vehicle during driving; using a second dust monitoring device to monitor second monitoring data of dust at the rear of the vehicle during driving; determining a dust emission factor of the road based on the first monitoring data, the second monitoring data and vehicle information of the vehicle; and calibrating the dust emission factor to obtain the dust load of the road to evaluate the cleanliness of the road.

[0015] According to the scheme of the present disclosure, the first dust monitoring device arranged at the roof and the second dust monitoring device arranged at the rear of the vehicle respectively monitor the first monitoring data of the dust at the roof and the second monitoring data of the dust at the rear of the vehicle, and the dust emission factor of the road is obtained in combination with the vehicle information of the vehicle. Further, by calibrating the dust emission factor, accurate dust load data is obtained, so that the cleanliness of the road can be accurately evaluated, so as to provide accurate data support for the control of road dust. Further, the first dust monitoring device and the second dust monitoring device in the embodiment of the present disclosure can control the sampling speed according to the driving speed of the vehicle, which can avoid the problem of inertial accumulation of large particles, so as to provide stable and accurate monitoring data. In addition, the embodiment of the present disclosure fits the monitoring data of the first dust monitoring device and the second dust monitoring device through the dust suction weighing method to obtain accurate dust load data. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] By reading the detailed description below with reference to the accompanying drawings, the above and other purposes, features and advantages of the exemplary embodiments of the present disclosure will become readily understood. In the accompanying drawings, several embodiments of the present disclosure are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0017] Figure 1 is an exemplary structural block diagram showing a system for evaluating road cleanliness according to an embodiment of the present disclosure;

[0018] Figure 2 is an exemplary structural block diagram showing a first dust monitoring device and a second dust monitoring device according to an embodiment of the present disclosure;

[0019] Figure 3 is an exemplary structural block diagram showing a main control module according to an embodiment of the present disclosure;

[0020] Figure 4 is an exemplary structural block diagram showing a dust monitoring module according to an embodiment of the present disclosure;

[0021] Figure 5 is a schematic diagram showing an exemplary structure of a sensor according to an embodiment of the present disclosure;

[0022] Figure 6a-6b is a schematic diagram showing second monitoring data monitored by a second monitoring device according to an embodiment of the present disclosure;

[0023] Figure 7 is an exemplary result diagram showing the fitting of dust concentration difference and vehicle travel speed according to an embodiment of the present disclosure; and

[0024] Figure 8 is an exemplary flow chart illustrating a method for evaluating road cleanliness according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0025] The technical solutions in the embodiments of the present disclosure will be described clearly and completely below in conjunction with the accompanying drawings. It should be understood that the embodiments described in this specification are only some embodiments provided by the present disclosure to facilitate a clear understanding of the solutions and to comply with legal requirements, and are not all embodiments that can implement the present invention. Based on the embodiments disclosed in this specification, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present disclosure.

[0026] Figure 1 FIG. 1 is an exemplary structural block diagram of a system 100 for evaluating road cleanliness according to an embodiment of the present disclosure. Figure 1 As shown in FIG. 1 , the system 100 includes a first dust monitoring device 101 , a second dust monitoring device 102 and an evaluation device 103 .

[0027] In one embodiment, the first dust monitoring device 101 can be arranged at the roof of the vehicle, for example, it can be arranged on the front windshield of the vehicle, so as to be used to monitor the first monitoring data of the dust on the roof of the vehicle during driving. In the implementation scenario, the first monitoring data can be the concentration of particulate matter in the dust at the roof of the monitored vehicle. In another embodiment, the second dust monitoring device 102 can be arranged at the rear of the vehicle, and it can usually be arranged at the bottom of the rear of the vehicle, so as to monitor the second monitoring data of the dust at the rear of the vehicle during driving. Similar to the first monitoring data, the second monitoring data can be the concentration of particulate matter in the dust at the rear of the monitored vehicle. In particular, the second monitoring data can be the concentration of particulate matter aroused when the wheels of the vehicle roll over the road during driving. Thus, when arranging the second monitoring device, it can be arranged near the rear wheel of the vehicle.

[0028] In an implementation scenario, the evaluation device 103 can be connected to the first dust monitoring device 101 or the second dust monitoring device 102 by wire or wirelessly, so as to receive the first monitoring data and the second monitoring data monitored by the first dust monitoring device 101 and the second dust monitoring device 102. Further, the evaluation device 103 can determine the dust emission factor of the road based on the first monitoring data, the second monitoring data and the vehicle information of the vehicle, and then calibrate the dust emission factor to obtain the dust load of the road, so as to evaluate the cleanliness of the road. In some embodiments, the aforementioned vehicle information can be, for example, the driving speed of the vehicle or the weight of the vehicle.

[0029] In the embodiment of the present disclosure, the first dust monitoring device and the second dust monitoring device may include a speed measurement module, a main control module and a dust monitoring module. Figure 2 The structural block diagram shown is used to describe the first dust monitoring device and the second dust monitoring device in detail.

[0030] Figure 2 is an exemplary structural block diagram showing a first dust monitoring device and a second dust monitoring device according to an embodiment of the present disclosure. It should be understood that Figure 2 As shown in the above Figure 1 The specific embodiment of the first dust monitoring device and the second dust monitoring device in the above Figure 1 The description of the first dust monitoring device and the second dust monitoring device in the same manner also applies to Figure 2 .

[0031] like Figure 2As shown in , the first dust monitoring device and the second dust monitoring device may include a speed measurement module 201, a main control module 202 and a dust monitoring module 203. The speed measurement module 201 is arranged on the vehicle and is configured to obtain vehicle information of the vehicle. As mentioned above, the vehicle information of the vehicle may be the driving speed of the vehicle. The main control module 202 is connected to the dust monitoring module 203 and the speed measurement module 201, and is configured to control the sampling speed of the dust monitoring module 203 according to the driving speed of the vehicle, and the dust monitoring module 203 is configured to sample dust according to the driving speed of the vehicle to monitor the first monitoring data at the roof of the vehicle and the second monitoring data at the rear of the vehicle.

[0032] In one embodiment, the speed measurement module 201 may be, for example, a GPS, which may be used to measure the vehicle's driving speed. In practical applications, the GPS may be arranged, for example, in the front and rear bumpers, in the trunk, in the armrest box, under the passenger seat or on the chassis of the vehicle, and may be connected to the main control module 202 by wire or wirelessly so as to transmit the vehicle's driving speed to the main control module 202. In some embodiments, the speed measurement module may also be, for example, a Hall sensor, and the vehicle's driving speed may also be obtained using the Hall sensor. In the disclosed embodiment, the first monitoring device and the second monitoring device may share a speed measurement module.

[0033] In an implementation scenario, in addition to being connected to the speed measurement module 201, the main control module 202 can also be connected to the dust monitoring module 203 by wire or wireless connection. Among them, the main control module and the dust monitoring module in the first monitoring device can be arranged on the roof of the vehicle to sample the dust in the air and monitor its dust particle concentration, that is, to obtain the first monitoring data. The main control module and the dust monitoring module in the second monitoring device can be arranged at the rear of the vehicle, so that the secondary dust aroused by the wheels of the vehicle during driving can be sampled and the particle concentration in the secondary dust can be monitored, that is, to obtain the second monitoring data. It can be understood that secondary dust refers to the dust that has been deposited on the dust collecting electrode. Due to insufficient adhesion, it is affected by factors such as airflow scouring or vibration cleaning, causing the dust to return to the airflow. In the embodiment of the present disclosure, secondary dust refers to the phenomenon that the road dust returns to the airflow during the driving process of the vehicle.

[0034] The main control module 202 may be a microcontroller unit (MCU), which may receive the vehicle speed measured by the speed measurement module 201, and control the sampling speed of the dust monitoring module 203 according to the vehicle speed, so that the vehicle speed and the sampling speed are consistent, thereby avoiding the inertial accumulation problem of large particles in the dust when the dust monitoring module performs sampling. In one embodiment, the main control module may also include a power supply module, a temperature and humidity measurement module, and a communication module, which will be described later in conjunction with the Figure 3 Detailed description. Further, the dust monitoring module 203 can sample the road dust according to the driving speed of the vehicle so as to monitor the concentration of particulate matter in the dust. The first monitoring data and the second monitoring data can be obtained respectively by the dust monitoring module arranged at the roof and the dust monitoring module at the rear of the vehicle. In one embodiment, the aforementioned dust monitoring module may include a flow meter, an air intake duct, a motor and a sensor, which will be described later in conjunction with Figure 4 Detailed description.

[0035] Figure 3 FIG. 1 is an exemplary structural block diagram showing a main control module according to an embodiment of the present disclosure. Figure 3 As shown in , the main control module 202 may also include a power module 301, a temperature and humidity measurement module 302 and a communication module 303. The power module 301 is configured to provide power; the temperature and humidity measurement module 302 is configured to measure the temperature and humidity in the environment; and the communication module 303 is configured to send the monitoring data of the dust monitoring module to the cloud server.

[0036] In one embodiment, the power module may be a DC-DC converter, which is a module that can convert electrical energy of one voltage value into electrical energy of another voltage value in a DC circuit. In the disclosed embodiment, the electrical energy of the vehicle battery may be stabilized to 12 volts after passing through the DC-DC converter, thereby providing power to the main control module.

[0037] The temperature and humidity measurement module can use, for example, a thermometer and hygrometer to measure the temperature and humidity in the environment, thereby avoiding the influence of temperature and humidity on the monitoring results and improving the accuracy of the monitoring results. In some embodiments, the communication module can be a general packet radio service (General Packet Radio Service, "GPRS"), which can be used for Internet connection and data transmission, etc. For example, in the embodiment of the present disclosure, the monitoring data of the dust monitoring module can be sent to the cloud server through the GPRS module so that the data can be presented in real time, and multi-point mobile monitoring can be implemented, which is conducive to timely analysis of urban road dust monitoring data and the proposal of treatment solutions.

[0038] Figure 4 FIG. 1 is an exemplary structural block diagram showing a dust monitoring module according to an embodiment of the present disclosure. Figure 4 As shown in the figure, the dust monitoring module 203 may include a flow meter 401, an air intake pipe 402, a motor 403 and a sensor 404, wherein the air intake pipe 402 connects the flow meter 401 and the motor 403, and is configured to transport gas, and the gas contains dust; the flow meter 401 is arranged on the main control module 202, and is configured to measure the gas flow entering the air intake pipe 402 according to the vehicle's driving speed and sampling speed; the motor 403 is configured to control the sampling speed and the sensor 404 is connected to the motor 403, and is configured to monitor the first monitoring data at the roof of the vehicle and the second monitoring data at the rear of the vehicle according to the gas flow.

[0039] In one embodiment, the flow meter can be nested on the intake pipe (for example Figure 5 As shown), it can also be connected to the outside of the intake duct. When the gas containing dust enters the intake duct, the flowmeter can be used to measure the gas flow (or gas volume) of the aforementioned gas in order to calculate the particle concentration in the dust. In an implementation scenario, the flowmeter can measure the gas flow entering the intake duct according to the vehicle's driving speed and sampling speed. Specifically, when the vehicle's driving speed is consistent with the sampling speed, the flowmeter can measure the gas flow entering the intake duct. In this scenario, when the vehicle's driving speed is consistent with the sampling speed, the problem of inertial accumulation of large particles can be avoided, and the flowmeter can measure and obtain an effective gas flow. That is, by suppressing the influence of the vehicle's driving speed on the monitoring results, the effectiveness of the sampling data is improved, the error of the monitoring data is reduced, and the monitoring results are more stable.

[0040] Furthermore, the air outlet end of the above-mentioned air intake pipe is also connected to a motor, and when the motor rotates, it drives the air intake pipe to rotate, thereby controlling the air intake speed (i.e., the sampling speed). In one implementation scenario, the motor is controlled to rotate by the main control module. More specifically, the main control module first receives the vehicle's driving speed measured by the speed measurement module. Then, the motor speed is controlled according to the vehicle's driving speed, and the rotation of the motor drives the air intake pipe to rotate, thereby controlling the sampling speed so that the sampling speed is consistent with the vehicle's driving speed.

[0041] The motor is also connected to a sensor, and the gas enters the sensor through the air intake pipe and the motor, so that the sensor can monitor the concentration of particulate matter in the dust according to the gas flow rate of the incoming gas. In one embodiment, the sensor may include a laser transmitter and a light receiver, the laser sensor is directly opposite to the light receiver, and an air inlet and an air outlet are arranged in a direction perpendicular to the direction of the laser transmitter and the light receiver. The air inlet is directly opposite to the air outlet, and the air inlet is connected to the motor. Figure 5 Describe the structure of the sensor in detail.

[0042] Figure 5 FIG. 1 is a schematic diagram showing an exemplary structure of a sensor according to an embodiment of the present disclosure. Figure 5 As shown in the figure on the left, the sensor 404 includes a laser emitter 501 and a light receiver 502, wherein the laser emitter 501 is directly opposite to the light receiver 502. An air inlet 503 and an air outlet 504 are arranged in a direction perpendicular to the direction in which the laser emitter 501 and the light receiver 502 are located, and the air inlet 503 is directly opposite to the air outlet 504. According to the foregoing description, the air inlet end of the air inlet 503 in the sensor is connected to the motor 403, and the motor 403 is also connected to the air inlet pipe 402. The figure further shows that a flow meter 401 is nested on the air inlet pipe 402. As mentioned above, the aforementioned flow meter 401 is arranged on the main control module (not shown in the figure).

[0043] When monitoring the dust on the roof and the rear of the vehicle, the vehicle's driving speed is first obtained through the speed measurement module. Further, the main control module controls the speed of the motor 403 according to the vehicle's driving speed, thereby controlling the sampling speed of the dust monitoring module. The rotation of the motor 403 drives the air intake duct 402 to rotate, so that the airflow (i.e., gas) generated by the vehicle during driving enters the air intake duct 402 through the air intake duct 402 and enters the sensor through the air intake duct 503. Figure 5 As shown in the figure on the right, the arrows in the figure indicate the direction of the airflow entering the sensor. Then, the aforementioned airflow passes through the intersection area A of the sensor, that is, the airflow passes between the laser emitter 501 and the light receiver 502. In this area A, the airflow is irradiated by the laser beam emitted by the laser emitter 501 to generate reflected light. Further, the light receiver 502 receives the aforementioned reflected light and finally outputs a PWM pulse signal. As mentioned above, the size of the particles in the dust can be identified according to the strength of the output PWM pulse signal. Finally, the aforementioned airflow is discharged out of the sensor through the air outlet 504 of the sensor, thereby avoiding the problem of inertial accumulation of large particles. When the vehicle's driving speed is consistent with the sampling speed, the gas flow in this scenario can be measured by the flowmeter 401, so as to obtain an accurate and stable particle concentration based on the gas flow and the strength of the output PWM pulse signal.

[0044] In some embodiments, a filter device may be arranged on the air intake duct, and the filter device may be, for example, a filter plug. The filter plug may be built into the air intake duct to filter large particles of dust and interference factors such as catkins, thereby improving the accuracy of monitoring data. In some scenarios, a filter may be connected between two air intake ducts to filter large particles of dust and interference factors such as catkins.

[0045] Based on the above description, it can be known that the first monitoring device and the second monitoring device of the present disclosure both include a speed measurement module, a main control module and a dust monitoring module. Among them, the speed measurement module is used to obtain the driving speed of the vehicle during driving, and the main control module receives the obtained driving speed of the vehicle, and then the speed of the motor in the dust monitoring module is controlled according to the driving speed of the vehicle, thereby controlling the sampling speed of the dust monitoring device. When the driving speed of the vehicle is consistent with the sampling speed, the gas flow entering the intake pipe is measured by the flowmeter in the dust monitoring module, and the concentration of particles in the dust at the roof (i.e., the first monitoring data) and the concentration of particles in the dust at the rear of the vehicle (i.e., the second monitoring data) are obtained by the sensor in the dust monitoring module according to the gas flow and the strength of the output PWM signal. The scheme of the present disclosure can be understood as a closed-loop control, that is, the sampling speed is controlled according to the driving speed of the vehicle, and when the driving speed of the vehicle is consistent with the sampling speed, the gas flow is measured by the flowmeter. Through the scheme of the present disclosure, the problem of inertial accumulation of large particles due to the inconsistency between the intake speed (i.e., the sampling speed) and the driving speed of the vehicle can be avoided, so that stable and accurate monitoring data can be obtained, for example Figure 6a-6b shown.

[0046] Figure 6a-6b is a schematic diagram showing the second monitoring data monitored by the second monitoring device according to an embodiment of the present disclosure. As shown in the figure, Figure 6a The horizontal axis represents time, and the vertical axis represents the concentration of particulate matter monitored by the disclosed solution. Figure 6b The horizontal axis represents time, and the vertical axis represents the speed of the vehicle. Figure 6a-6b It can be seen that when the vehicle is traveling at a faster speed, the concentration of particulate matter monitored by the disclosed solution is relatively stable. That is, the use of the disclosed solution can effectively suppress the influence of the vehicle's traveling speed on the monitoring data, thereby ensuring the stability and accuracy of the monitoring results.

[0047] According to the first monitoring data and the second monitoring data obtained above, the evaluation device can determine the dust emission factor of the road based on the first monitoring data, the second monitoring data and the vehicle information of the vehicle, and calibrate the dust emission factor to obtain the dust load of the road, so as to evaluate the cleanliness of the road. In one embodiment, the dust concentration difference between the rear of the vehicle and the roof of the vehicle can be obtained according to the first monitoring data and the second monitoring data. Assume that the first monitoring data at the roof of the vehicle is T T , the second monitoring data at the rear of the vehicle is T B , then the dust concentration difference between the rear of the vehicle and the roof of the vehicle is T = T T -T B .

[0048] Furthermore, the above dust concentration difference is fitted with vehicle information (such as the vehicle's driving speed) to determine the dust emission factor of the road. Specifically, the fitting can be performed based on the following formula:

[0049]

[0050] Among them, T represents the difference in dust concentration between the roof and the rear of the vehicle, S T represents the speed of the vehicle, and a and b represent coefficients. In some implementation scenarios, the aforementioned coefficient a is usually related to the amount of road dust, and it changes with the change of the amount of road dust. The aforementioned coefficient b is usually related to the proportion of particles of various sizes in the road dust. Within a certain period of time, it can be considered that the proportion of particles of various sizes in the road dust is relatively stable, so the aforementioned coefficient b can be a constant. Additionally, the coefficient b is about 2.1.

[0051] Figure 7 : is an exemplary result diagram showing the fitting of dust concentration difference and vehicle driving speed according to an embodiment of the present disclosure. As shown in the figure, the horizontal axis in the figure represents the driving speed of the vehicle, and the vertical axis represents the dust concentration difference. The small black dots in the figure show the dust concentration difference corresponding to different driving speeds of the vehicle, and the smooth curve in the figure shows the fitting curve after fitting by the above formula (1).

[0052] After the above fitting, the dust emission factor can be determined. Specifically, the dust emission factor φ can be calculated by the following formula:

[0053]

[0054] As mentioned above, T represents the difference in dust concentration between the roof and the rear of the vehicle, S T represents the driving speed of the vehicle, and k represents a constant, for example, it may refer to a particle size coefficient.

[0055] Based on the dust emission factor calculated above, the evaluation device can further calibrate the dust emission factor to obtain the dust load of the road to evaluate the cleanliness of the road. Specifically, the original dust load at multiple sections on the road can be collected, and the original dust load at each section can be used to calibrate the aforementioned dust emission factor, thereby obtaining the final dust load of the road. It should be understood that the aforementioned original dust load refers to the mass of dust passing through a 200-mesh (i.e., 75 μm) standard sieve per unit area of ​​the road surface. In one embodiment, the road dust of the section through which the vehicle travels is collected, and the road dust within one square meter at each section can be collected. At least three road dust within one square meter can be collected in each section, and each road dust collected within one square meter can be collected at intervals of 0.5km-1.0km before the next square meter of road dust is collected. The aforementioned collection process can be carried out, for example, by vacuum suction.

[0056] Next, the road dust can be filtered to filter out some interference items that are not dust (such as catkins, fallen leaves, etc.). Further, the filtered road dust is weighed and divided by the sampling area to obtain the original dust load at each road section. Finally, the original dust load at each road section is fitted with the dust emission factor to obtain the final dust load of the road. In one embodiment, the original dust load and the dust emission factor can be fitted using, for example, least squares curve fitting to obtain an accurate dust load, so that the road cleanliness can be accurately evaluated.

[0057] In combination with the above description, it can be known that the embodiment of the present disclosure obtains an accurate dust load by fitting the dust emission factor obtained by vehicle-mounted mobile monitoring with the dust load obtained by the dust suction weighing method. Specifically, the present disclosure obtains the first monitoring data of dust at the roof and the second monitoring data of dust at the rear of the vehicle by arranging a first dust monitoring device on the roof of the vehicle and a second dust monitoring device at the rear of the vehicle, respectively, and obtains the dust emission factor after fitting the first monitoring data, the second monitoring data and the driving speed of the vehicle by an evaluation device. Then, the original dust load obtained by the dust suction weighing method is fitted with the aforementioned dust emission factor, and finally an accurate dust load is obtained, so that the road cleanliness can be accurately evaluated, so as to provide accurate data support for the control of road dust.

[0058] In addition, the first dust monitoring device and the second dust monitoring device disclosed in the present invention can control the sampling speed of dust according to the driving speed of the vehicle. For example, when the driving speed of the vehicle is consistent with the sampling speed, the dust at the roof and the dust at the rear of the vehicle are sampled to avoid the problem of inertial accumulation of large particles, thereby obtaining stable and accurate first monitoring data and second monitoring data.

[0059] Figure 8 FIG. 8 is an exemplary flow chart showing a method 800 for evaluating road cleanliness according to an embodiment of the present disclosure. Figure 8 As shown in , at step S802, the first dust monitoring device is used to monitor the first monitoring data of dust on the roof of the vehicle during driving. As mentioned above, the first dust monitoring device can be arranged on the roof of the vehicle to monitor the first monitoring data of dust on the roof, that is, the particle concentration of dust on the roof. In one embodiment, the first dust monitoring device may include a speed measurement module, a main control module and a dust monitoring module. Among them, the speed measurement module can be used to measure the driving speed of the vehicle, and the main control module can control the sampling speed of the dust monitoring module according to the driving speed of the vehicle, and then the dust monitoring module monitors the dust on the roof according to the driving speed and sampling speed of the vehicle, so as to obtain the first monitoring data of dust on the roof.

[0060] At step S804, the second dust monitoring device is used to monitor the second monitoring data of dust at the rear of the vehicle during driving. As mentioned above, the second dust monitoring device can be arranged at the rear of the vehicle to monitor the second monitoring data of dust at the rear of the vehicle, that is, the particle concentration of dust at the rear of the vehicle. Similar to the first dust monitoring device mentioned above, the second dust monitoring device can also include a speed measurement module, a main control module and a dust monitoring module. The speed measurement module can be the speed measurement module in the first dust monitoring device, for example, it can be a GPS or a Hall sensor. The second monitoring data of dust at the rear of the vehicle can be obtained through monitoring by the second dust monitoring device.

[0061] According to the first monitoring data and the second monitoring data obtained above, at step S806, the dust emission factor of the road is determined based on the first monitoring data, the second monitoring data and the vehicle information of the vehicle. In one embodiment, the aforementioned vehicle information may be the driving speed of the vehicle. Specifically, the dust concentration difference between the first monitoring data and the second monitoring data may be calculated first, and then the dust concentration difference and the driving speed of the vehicle may be fitted based on the above formula (1). The dust emission factor is obtained based on the fitting result and in combination with the above formula (2).

[0062] Finally, at step S808, the dust emission factor is calibrated to obtain the dust load of the road to evaluate the cleanliness of the road. More specifically, the original dust load at multiple sections on the road can be collected, and the dust emission factor can be calibrated using the original dust load at each section to obtain the final dust load of the road. In other words, the original dust load is obtained by the dust suction weighing method, and then the original dust load is fitted with the dust emission factor to finally obtain an accurate dust load, so as to accurately evaluate the cleanliness of the road.

[0063] It should be noted that although the operations of the disclosed method are described in a particular order in the accompanying drawings, this does not require or imply that the operations must be performed in this particular order, or that all the operations shown must be performed to achieve the desired results. On the contrary, the steps depicted in the flow chart can be performed in a different order. Additionally or alternatively, some steps can be omitted, multiple steps can be combined into one step, and / or one step can be decomposed into multiple steps.

[0064] It should be understood that when the terms "first", "second", "third" and "fourth" are used in the claims, specifications and drawings of the present disclosure, they are only 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 disclosure 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.

[0065] It should also be understood that the terms used in this disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure. As used in this disclosure and 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 this disclosure and claims refers to any combination of one or more of the associated listed items and all possible combinations, including these combinations.

[0066] Although the embodiments of the present invention are as described above, the contents are only examples used to facilitate understanding of the present invention, and are not intended to limit the scope and application scenarios of the present invention. Any technician in the technical field of the present invention can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed by the present invention, but the scope of patent protection of the present invention shall still be based on the scope defined by the attached claims.

Claims

1. A system for evaluating road cleanliness, comprising: A first dust monitoring device is arranged on the roof of the vehicle and is configured to monitor first monitoring data of dust on the roof of the vehicle during driving; A second dust monitoring device is arranged at the rear of the vehicle and is configured to monitor second monitoring data of dust at the rear of the vehicle during driving; as well as Evaluation device, which is configured as: determining a dust emission factor of the road based on the first monitoring data, the second monitoring data and the vehicle information of the vehicle; as well as Calibrate the dust emission factor to obtain the dust load of the road to evaluate the cleanliness of the road; Wherein, in determining the dust emission factor of the road based on the first monitoring data, the second monitoring data and the vehicle information of the vehicle, the evaluation device is further configured as follows: Obtaining a dust concentration difference between the rear of the vehicle and the roof of the vehicle according to the first monitoring data and the second monitoring data; Fitting the dust concentration difference with the vehicle information to determine the dust emission factor of the road; The calculation formula for dust emission factor is: Wherein, φ represents the dust emission factor, T represents the dust concentration difference; S T represents the vehicle speed, k is a constant; In calibrating the dust emission factor to obtain the dust load of the road to evaluate the cleanliness of the road, the evaluation device is further configured as follows: collecting original dust loads at a plurality of road sections on the road; Calibrate the dust emission factor using the original dust load at each road section to obtain the final dust load of the road; Wherein, in calibrating the dust emission factor by using the original dust load at each of the road sections to obtain the final dust load of the road, the evaluation device is further configured as follows: The original dust load at each of the road sections is fitted with the dust emission factor to obtain the final dust load of the road.

2. The system according to claim 1, wherein the first dust monitoring device and the second dust monitoring device comprise: Speed ​​measurement module, main control module, dust monitoring module, among which, The speed measurement module is arranged on the vehicle and configured to obtain vehicle information of the vehicle, wherein the vehicle information of the vehicle includes the driving speed of the vehicle; The main control module is connected to the dust monitoring module and the speed measurement module, and is configured to control the sampling speed of the dust monitoring module according to the driving speed of the vehicle; and The dust monitoring module is configured to sample dust according to the driving speed of the vehicle to monitor first monitoring data at the roof of the vehicle and second monitoring data at the rear of the vehicle.

3. The system according to claim 2, wherein the dust monitoring module comprises a flow meter, an air intake duct, a motor and a sensor, wherein: The air intake pipe is connected to the flow meter and the motor and is configured to transport gas, wherein the gas contains the dust; The flow meter is arranged on the main control module and is configured to measure the gas flow entering the intake pipe according to the driving speed of the vehicle and the sampling speed; The motor is configured to control the sampling speed; and The sensor is connected to the motor and is configured to monitor first monitoring data at the roof of the vehicle and second monitoring data at the rear of the vehicle according to the gas flow rate.

4. The system of claim 3, wherein the sensor comprises a laser emitter and a light receiver, the laser emitter is facing the light receiver, and An air inlet and an air outlet are arranged in a direction perpendicular to the direction in which the laser transmitter and the light receiver are located. The air inlet is opposite to the air outlet, and the air inlet is connected to the motor.

5. The system according to claim 4, wherein in monitoring the first monitoring data at the roof of the vehicle and the second monitoring data at the rear of the vehicle according to the gas flow rate, the sensor is further configured as: According to the gas flow entering between the laser emitter and the light receiver through the air inlet, first monitoring data at the roof of the vehicle and second monitoring data at the rear of the vehicle are monitored.

6. The system according to claim 1, wherein in collecting the original dust load at a plurality of road sections on the road, the evaluation device is further configured to: Collect road dust within one square meter at each road section; filtering the road dust; and The filtered road dust is weighed to obtain the original dust load at each road section.

7. A method for evaluating road cleanliness, comprising: Using a first dust monitoring device to monitor first monitoring data of dust on the roof of the vehicle during driving; Using a second dust monitoring device to monitor second monitoring data of dust at the rear of the vehicle during driving; determining a dust emission factor of the road based on the first monitoring data, the second monitoring data and the vehicle information of the vehicle; as well as Calibrate the dust emission factor to obtain the dust load of the road to evaluate the cleanliness of the road; Wherein, determining the dust emission factor of the road based on the first monitoring data, the second monitoring data and the vehicle information of the vehicle includes: Obtaining a dust concentration difference between the rear of the vehicle and the roof of the vehicle according to the first monitoring data and the second monitoring data; The dust concentration difference is fitted with the vehicle information to determine the dust emission factor of the road; the calculation formula of the dust emission factor is: Wherein, φ represents the dust emission factor, T represents the dust concentration difference; S T represents the vehicle speed, k is a constant; The step of calibrating the dust emission factor to obtain the dust load of the road to evaluate the cleanliness of the road includes: collecting original dust loads at a plurality of road sections on the road; Calibrate the dust emission factor using the original dust load at each road section to obtain the final dust load of the road; The process of calibrating the dust emission factor by using the original dust load at each road section to obtain the final dust load of the road includes: The original dust load at each of the road sections is fitted with the dust emission factor to obtain the final dust load of the road.

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