Motor vehicle exhaust real-time monitoring and cloud analysis system based on Internet of Things

Abstract

The invention relates to the technical field of tail gas monitoring, in particular to a motor vehicle tail gas real-time monitoring and cloud analysis system based on the internet of things, which comprises a data acquisition module, a cloud analysis module and a control module, the gas analysis module is used for determining whether the continuous influence of the initial retention air floatation particles on the environment reaches the standard or not based on the retention time efficiency index; the parameter determining module is used for determining the influence of air floating particle accumulation on the environment based on the accumulation influence coefficient; the environment bearing analysis module is used for determining whether the regional environment bearing state reaches the standard or not based on the environment purification efficiency index; the parameter optimization module is used for determining whether diffusion of the motor vehicle exhaust in the atmosphere is qualified or not based on the diffusion attenuation coefficient; and the air floating particle analysis module is used for determining whether the stability of the regional motor vehicle exhaust air floating particles reaches the standard or not based on the particle concentration stability index. According to the invention, the timeliness of real-time monitoring of motor vehicle exhaust is improved.

Description

Technical Field

[0001] The present invention relates to the field of exhaust gas monitoring technology, and in particular to a real-time monitoring and cloud analysis system for motor vehicle exhaust gas based on the Internet of Things. Background Art

[0002] Traditional motor vehicle exhaust monitoring methods are unable to achieve real-time and dynamic monitoring of exhaust emissions, and are difficult to capture changes in exhaust emissions during actual driving. The monitoring range is limited and cannot fully cover all areas of the region, resulting in the omission of a large amount of exhaust emission data.

[0003] Chinese patent application publication number: CN111983146A discloses a motor vehicle exhaust monitoring system, including a camera, a license plate recognition module, a remote sensing analyzer, a router and a monitoring platform; the camera is used to capture images of the motor vehicle and its license plate and transmit them to the license plate recognition module; the license plate recognition module extracts the motor vehicle's license plate number by analyzing the image of the motor vehicle and its license plate, and transmits the image and license plate number to the monitoring platform via the router; the remote sensing analyzer includes a measuring light transmitting module and a receiving module, uses measuring light irradiation to detect motor vehicle exhaust, performs optical remote sensing analysis, and transmits the analysis results to the monitoring platform; the router is used for network data transmission, and transmits data from the license plate recognition module and the remote sensing analyzer to the monitoring platform; the monitoring platform is used to comprehensively analyze and organize the received data to determine whether the motor vehicle exhaust emissions exceed the standard.

[0004] However, the existing technology has the following problems: the monitoring of suspended particles mostly focuses on real-time concentration detection, lacks a systematic quantitative evaluation of their retention time, cumulative effect and environmental purification efficiency, and the treatment of the retention time of suspended particles in the exhaust gas emitted by motor vehicles is insufficient, resulting in low effectiveness of real-time monitoring of motor vehicle exhaust gas, and thus low timeliness of real-time monitoring of motor vehicle exhaust gas. Summary of the Invention

[0005] To this end, the present invention provides a real-time monitoring and cloud analysis system for motor vehicle exhaust based on the Internet of Things, which is used to overcome the problem that the monitoring of suspended particles in the existing technology focuses on real-time concentration detection, lacks a systematic quantitative evaluation of their retention time, cumulative effect and environmental purification efficiency, and insufficiently handles the retention time of suspended particles in the exhaust emitted by motor vehicles in the air, resulting in low effectiveness of real-time monitoring of motor vehicle exhaust, and thus low timeliness of real-time monitoring of motor vehicle exhaust.

[0006] To achieve the above objectives, the present invention provides a real-time monitoring and cloud analysis system for vehicle exhaust based on the Internet of Things, comprising: A data acquisition module, which is used to obtain in real time the initial retained airborne particle concentration, newly added airborne particle concentration, environmental purification data, meteorological data, and airborne particle concentration change data over several cycles of vehicle exhaust emissions within a preset collection range and for a preset collection time; a gas analysis module, configured to determine whether the sustained impact of the initial retained airborne particles on the environment meets the standards and determine an initial retention impact evaluation value based on a retention time index calculated based on the initial retained airborne particle concentration; a parameter determination module, configured to determine the impact of the accumulation of suspended particles on the environment based on a cumulative impact coefficient obtained from the initial retained suspended particle concentration and the newly added suspended particle concentration, and to determine a suspended particle retention evaluation value; An environmental carrying capacity analysis module, which is used to determine whether the regional environmental carrying capacity meets the standards based on the environmental purification efficiency index obtained from the environmental purification data; a parameter optimization module for determining whether the diffusion of motor vehicle exhaust in the atmosphere is qualified based on the diffusion attenuation coefficient obtained from the meteorological data, and for optimizing the airborne particle retention evaluation value based on the difference between the diffusion attenuation coefficient and a preset diffusion attenuation coefficient; The suspended particle analysis module is connected to the data acquisition module and is used to determine whether the stability of suspended particles in the exhaust of motor vehicles in the area meets the standard based on the particle concentration stability index obtained from the suspended particle concentration change data, and to adjust the preset collection range or preset collection time according to the ratio of the particle concentration stability index to the preset particle concentration stability index.

[0007] Furthermore, the gas analysis module determines that the continuous impact of the initial retained airborne particles on the environment meets the standard based on the comparison result that the retention time index is less than or equal to a preset retention time index, and determines a first initial retention impact evaluation value.

[0008] Furthermore, the gas analysis module determines that the continuous impact of the initial retained airborne particles on the environment does not meet the standard based on the comparison result that the retention time index is greater than a preset retention time index, and determines a second initial retention impact evaluation value.

[0009] Furthermore, the parameter determination module determines that the impact of the accumulation of suspended particles on the environment is qualified based on the comparison result that the cumulative impact coefficient is less than or equal to the preset cumulative impact coefficient, and determines a first suspended particle retention evaluation value under the condition that the initial retention impact evaluation value is determined.

[0010] Furthermore, the parameter determination module determines that the impact of the accumulation of suspended particles on the environment is unqualified based on the comparison result that the cumulative impact coefficient is greater than a preset cumulative impact coefficient under the condition of determining the initial retention impact evaluation value, and determines a second suspended particle retention evaluation value.

[0011] Furthermore, the environmental load analysis module determines that the regional environmental load status meets the standard based on the comparison result that the environmental purification efficiency index is greater than a preset environmental purification efficiency index under the condition of determining the suspended particle retention evaluation value.

[0012] Furthermore, the parameter optimization module determines that the diffusion of motor vehicle exhaust in the atmosphere is unqualified based on the comparison result that the diffusion attenuation coefficient obtained based on meteorological data is greater than the preset diffusion attenuation coefficient, under the condition that the diffusion of motor vehicle exhaust in the regional environment is qualified.

[0013] Furthermore, the parameter optimization module determines and optimizes the airborne particle retention evaluation value based on a comparison result of the difference between the diffusion attenuation coefficient and the preset diffusion attenuation coefficient and the preset difference, under the condition that the diffusion of the motor vehicle exhaust in the atmosphere is determined to be unqualified, wherein: If the difference is less than or equal to the preset difference, the comparison result determines that the airborne particle retention evaluation value is increased by the first preset evaluation value optimization coefficient; If the difference is greater than the preset difference, it is determined to increase the air-suspended particle retention evaluation value by a second preset evaluation value optimization coefficient.

[0014] Furthermore, the suspended particle analysis module determines that the stability of suspended particles in the exhaust of motor vehicles in the area does not meet the standard based on the comparison result that the particle concentration stability index is less than or equal to the preset particle concentration stability index, and determines to increase the preset collection range by the preset collection range adjustment coefficient based on the comparison result that the ratio of the particle concentration stability index to the preset particle concentration stability index is less than or equal to the preset ratio.

[0015] Furthermore, the suspended particle analysis module determines that the stability of suspended particles in exhaust gas from motor vehicles in the area does not meet the standard based on a comparison result that the particle concentration stability index is less than or equal to a preset particle concentration stability index, and determines to increase the preset collection time by a preset collection time adjustment coefficient based on a comparison result that the ratio of the particle concentration stability index to the preset particle concentration stability index is less than or equal to a preset ratio.

[0016] Compared with the existing technology, the beneficial effect of the present invention lies in that the present invention realizes the analysis of suspended particles in motor vehicle exhaust through the collaboration of multiple modules. The gas analysis module evaluates the continuous impact compliance based on the initial concentration. The parameter determination module quantifies the cumulative environmental risk in combination with the initial and new concentrations. The environmental load analysis module judges the eligibility of motor vehicle exhaust in the atmosphere based on environmental purification data. The parameter optimization module optimizes the processing strategy in combination with meteorological data. The suspended particle module evaluates the stability according to the periodic concentration changes and dynamically adjusts the monitoring range, thereby improving the accuracy of particulate matter control. The evaluation of the eligibility of motor vehicle exhaust in the atmosphere and the diffusion attenuation analysis provide data support for the dynamic regulation of regional environmental capacity, avoid resource mismatch, and optimize the monitoring time and space range. The multi-dimensional index system constructs quantitative evaluation standards, improves the regional air quality management efficiency, and thus improves the timeliness and effectiveness of real-time monitoring of motor vehicle exhaust.

[0017] Furthermore, the present invention determines the compliance of continuous impact based on the retention time index through the gas analysis module to generate an initial evaluation value, the parameter determination module determines the cumulative impact, and the environmental load analysis module determines the purification efficiency index through environmental purification data to judge the eligibility of motor vehicle exhaust diffusion in the atmosphere, thereby improving the targeted nature of control measures, avoiding excessive intervention, reducing control costs, adapting to the temporal and spatial changes in regional motor vehicle traffic, and improving data collection efficiency. The real-time data-driven rapid response mechanism shortens the pollution exposure time, improves the scientificity and efficiency of regional air quality management, and thus improves the timeliness and effectiveness of real-time monitoring of motor vehicle exhaust.

[0018] Furthermore, the present invention achieves precise governance through environmental treatment optimization driven by meteorological data. The parameter optimization module judges the effectiveness of the treatment based on the diffusion attenuation coefficient. When the standard is not met, the air-floating particle retention evaluation value is adjusted according to the difference between the diffusion attenuation coefficient and the preset diffusion attenuation coefficient. The impact of meteorological conditions on pollution diffusion is quantified, and the matching degree between treatment measures and meteorological conditions is improved. The retention evaluation value is adjusted in grades according to the degree of deviation to avoid governance lag or excessiveness caused by a single threshold, balance governance accuracy and cost, adapt to the climate characteristics of different regions, and improve the applicability of the system. The rapid response driven by real-time meteorological data shortens the pollution exposure time. Combined with the optimization of the retention evaluation value, the cumulative impact of particulate matter on public health is reduced, and the governance efficiency under complex meteorological conditions is improved.

[0019] Furthermore, the present invention uses the floating particle analysis module to calculate the stability index based on multi-cycle concentration data to judge whether the stability meets the standard. If the standard is not met, the monitoring area is expanded or the monitoring time is extended according to the ratio of the stability index to the preset stability index. The particle concentration fluctuation characteristics are quantified according to the stability index, thereby improving the targeted tracking of pollution sources and control measures, improving the adaptability of motor vehicle traffic and emission characteristics in different regions, improving the universality of the system, and improving the particulate matter management efficiency in complex regional environments, thereby improving the timeliness and effectiveness of real-time monitoring of motor vehicle exhaust. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a schematic diagram of the module connections of the Internet of Things-based real-time vehicle exhaust monitoring and cloud analysis system according to an embodiment of the present invention; Figure 2 A flowchart of an embodiment of the present invention for determining whether the regional environmental carrying status meets the standards; Figure 3 This is a flow chart for determining whether the diffusion of motor vehicle exhaust in the atmosphere is qualified according to an embodiment of the present invention; Figure 4 This is a flow chart for determining whether the stability of suspended particles in motor vehicle exhaust in a region meets the standard according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0022] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0023] It should be pointed out that the data in this embodiment are obtained by comprehensive analysis and evaluation of the historical test data and the corresponding historical test results of the three months before this test. It can be understood by those skilled in the art that the present invention can determine the above parameters for a single item by selecting the value with the highest proportion as the preset standard parameter based on the data distribution, using weighted summation to use the obtained value as the preset standard parameter, substituting each historical data into a specific formula and using the value obtained by the formula as the preset standard parameter or other selection methods, as long as the present invention can clearly define the different specific situations in the single determination process through the obtained values.

[0024] See also Figure 1 As shown, it is a schematic diagram of the module connection of the real-time monitoring and cloud analysis system of motor vehicle exhaust based on the Internet of Things in an embodiment of the present invention.

[0025] The embodiment of the present invention provides a real-time monitoring and cloud-based analysis system for vehicle exhaust based on the Internet of Things, including: A data acquisition module, which is used to obtain in real time the initial retained airborne particle concentration, newly added airborne particle concentration, environmental purification data, meteorological data, and airborne particle concentration change data over several cycles of vehicle exhaust; a gas analysis module connected to the data acquisition module, configured to determine whether the sustained impact of the initial retained airborne particles on the environment meets the standard and determine an initial retention impact evaluation value based on the retention time index calculated from the initial retained airborne particles concentration; a parameter determination module, connected to the data acquisition module and the gas analysis module, respectively, for determining the severity of the environmental impact of the accumulation of suspended particles based on the cumulative impact coefficient calculated from the initial retained suspended particle concentration and the newly added suspended particle concentration, and determining a suspended particle retention evaluation value; An environmental carrying capacity analysis module, connected to the parameter determination module, for determining whether the regional environmental carrying capacity meets the standards based on the environmental purification efficiency index obtained from the environmental purification data; a parameter optimization module connected to the environmental load analysis module, configured to determine whether the regional environment has been effectively treated based on the diffusion attenuation coefficient obtained from the meteorological data, and to optimize the airborne particle retention evaluation value based on the difference between the diffusion attenuation coefficient and a preset diffusion attenuation coefficient; The suspended particle analysis module is connected to the data acquisition module and is used to determine whether the stability of suspended particles in the exhaust of motor vehicles in the area meets the standard based on the particle concentration stability index obtained from the suspended particle concentration change data, and to adjust the preset collection range or preset collection time according to the ratio of the particle concentration stability index to the preset particle concentration stability index.

[0026] Specifically, the present invention realizes the analysis of floating particles in motor vehicle exhaust through the collaboration of multiple modules. The gas analysis module evaluates the continuous impact compliance based on the initial concentration. The parameter determination module quantifies the cumulative environmental risk in combination with the initial and new concentrations. The environmental load analysis module judges the eligibility of motor vehicle exhaust in the atmosphere based on environmental purification data. The parameter optimization module optimizes the processing strategy in combination with meteorological data. The floating particle module evaluates the stability according to the periodic concentration changes and dynamically adjusts the monitoring range, thereby improving the accuracy of particulate matter control. The evaluation of the eligibility of motor vehicle exhaust in the atmosphere and the diffusion attenuation analysis provide data support for the dynamic regulation of regional environmental capacity, avoid resource mismatch, and optimize the monitoring time and space range. The multi-dimensional index system constructs quantitative evaluation standards, improves the regional air quality management efficiency, and thus improves the timeliness and effectiveness of real-time monitoring of motor vehicle exhaust.

[0027] In the embodiment of the present invention, the concentration data of the floating particles is collected in real time by distributed monitoring equipment.

[0028] Specifically, the data transmission module transmits the initial retained airborne particle concentration and the real-time monitored new airborne particle concentration to the cloud platform through the LoRa network.

[0029] In the embodiment of the present invention, the preset collection range is [2km×2km, 4km×4km], preferably 3km×3km, and the preset collection duration range is [24h, 72h], preferably 48h.

[0030] Specifically, the gas analysis module determines whether the continuous impact of the initial retained airborne particles on the environment meets the standard and determines the initial retention impact evaluation value by comparing the retention time index calculated based on the initial retained airborne particles concentration with the preset retention time index; If the retention aging index is less than or equal to the preset retention aging index, it is determined that the continuous impact of the initial retained airborne particles on the environment meets the standard, and a first initial retention impact evaluation value is determined; If the retention aging index is greater than the preset retention aging index, it is determined that the continuous impact of the initial retained airborne particles on the environment does not meet the standard, and a second initial retention impact evaluation value is determined.

[0031] In the embodiment of the present invention, the preset retention time index value range is [0.5, 0.6], preferably 0.55, but the above value is not limited thereto, and those skilled in the art can also adjust the value according to actual needs.

[0032] In the embodiment of the present invention, the retention time index is obtained by multiplying the product of the initial retained airborne particle concentration and the initial retention time to the environmental capacity. The initial retention time is the time it takes for the initial retained airborne particles to disappear. The environmental capacity is the ratio of the airborne particle concentration threshold that the environment can bear without causing pollution to the retention time threshold. The environmental capacity is set to 10,000 (μg.h) / m³.

[0033] In an embodiment of the present invention, the upper limit of the environmentally acceptable initial impact, the first initial retention impact evaluation value is the ratio of the retention aging index to the preset retention aging index, and the second initial retention impact evaluation value is the ratio of the retention aging index to the preset retention aging index plus the difference between the retention aging index and the preset retention aging index divided by the preset retention aging index.

[0034] Specifically, the parameter determination module determines whether the environmental impact of the accumulated airborne particles is qualified based on the comparison result of the cumulative impact coefficient obtained by the real-time monitoring of the newly added airborne particles concentration within the preset collection time period and the initial retention impact evaluation value, and determines the airborne particles retention evaluation value, under the condition that the initial retention impact evaluation value is determined; If the cumulative impact coefficient is less than or equal to the preset cumulative impact coefficient, it is determined that the impact of the accumulation of air-suspended particles on the environment is qualified, and a first air-suspended particle retention evaluation value is determined; If the cumulative impact coefficient is greater than the preset cumulative impact coefficient, it is determined that the impact of the accumulation of air-suspended particles on the environment is unqualified, and a second air-suspended particle retention evaluation value is determined.

[0035] In the embodiment of the present invention, the preset cumulative influence coefficient has a value range of [0.9, 1.1], preferably 1.0, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0036] In the embodiment of the present invention, the cumulative impact coefficient reflects the superposition effect of the initial retained airborne particles and the newly added airborne particles. The cumulative impact coefficient is obtained by multiplying the product of the concentration of newly added airborne particles and the preset collection time of real-time monitoring plus the product of the concentration of the initial retained airborne particles that have not disappeared and the preset collection time, to the ratio of the product to the environmental capacity.

[0037] In an embodiment of the present invention, the first airborne particle retention evaluation value is a ratio of a cumulative impact coefficient to an initial retention impact evaluation value, and the second airborne particle retention evaluation value is a result of adding a difference between the cumulative impact coefficient and the initial retention impact evaluation value and dividing the difference by the initial retention impact evaluation value.

[0038] See also Figure 2 As shown, it is a flow chart of determining whether the regional environment carrying status meets the standards according to an embodiment of the present invention.

[0039] Specifically, the environmental load analysis module determines whether the regional environmental load status meets the standard by comparing the environmental purification efficiency index obtained based on the environmental purification data of the airborne particles with the preset environmental purification efficiency index under the condition of determining the airborne particle retention evaluation value; If the environmental purification efficiency index is less than or equal to the preset environmental purification efficiency index, it is determined that the regional environmental carrying capacity does not meet the standard; If the environmental purification efficiency index is greater than the preset environmental purification efficiency index, it is determined that the regional environmental carrying capacity meets the standard.

[0040] In the embodiment of the present invention, the preset environmental purification efficiency index value range is [0.95, 1.15], preferably 1.05, but the above value is not limited thereto, and those skilled in the art can also adjust the value according to actual needs.

[0041] In the embodiment of the present invention, the environmental purification efficiency index is the ratio of the actual purification efficiency to the standard purification efficiency. The actual purification efficiency is the ratio of the difference between the initial airborne particle concentration and the residual airborne particle concentration after the initial airborne particle concentration is affected by the environment to the initial airborne particle concentration.

[0042] Specifically, the present invention determines the compliance of continuous impact based on the retention time index through the gas analysis module to generate an initial evaluation value, the parameter determination module determines the cumulative impact, and the environmental load analysis module determines the purification efficiency index through environmental purification data to judge the eligibility of motor vehicle exhaust diffusion in the atmosphere. It improves the targeted nature of governance measures, avoids excessive intervention, reduces governance costs, adapts to the temporal and spatial changes of regional motor vehicle traffic, improves data collection efficiency, and the real-time data-driven rapid response mechanism shortens the pollution exposure time, improves the scientificity and efficiency of regional air quality management, and thus improves the timeliness and effectiveness of real-time monitoring of motor vehicle exhaust.

[0043] See also Figure 3 As shown, it is a flow chart of determining whether the diffusion of motor vehicle exhaust in the atmosphere is qualified according to an embodiment of the present invention.

[0044] Specifically, the parameter optimization module determines whether the diffusion of motor vehicle exhaust in the atmosphere is qualified based on the comparison result of the diffusion attenuation coefficient obtained from meteorological data and the preset diffusion attenuation coefficient, under the condition that the regional environmental carrying state meets the standard; If the diffusion attenuation coefficient is less than or equal to the preset diffusion attenuation coefficient, it is determined that the exhaust gas of the motor vehicle is diffused into the atmosphere in a qualified manner; If the diffusion attenuation coefficient is greater than the preset diffusion attenuation coefficient, it is determined that the diffusion of the exhaust gas of the motor vehicle in the atmosphere is unqualified.

[0045] In the embodiment of the present invention, the preset diffusion attenuation coefficient is in the range of [0.3, 0.4], preferably 0.35, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0046] In the embodiment of the present invention, the diffusion attenuation coefficient is obtained by multiplying the ratio of wind speed to wind speed threshold value, the ratio of humidity to humidity threshold value, and the ratio of temperature to temperature threshold value in the real-time monitoring process.

[0047] Specifically, the parameter optimization module determines and optimizes the airborne particle retention evaluation value based on a comparison result of a difference between a diffusion attenuation coefficient and a preset diffusion attenuation coefficient and a preset difference, under the condition that the diffusion of the motor vehicle exhaust in the atmosphere is determined to be unqualified; If the difference is less than or equal to the preset difference, determining to increase the airborne particle retention evaluation value to a corresponding value using a first preset evaluation value optimization coefficient of 1.05; If the difference is greater than the preset difference, it is determined to increase the airborne particle retention evaluation value to a corresponding value using a second preset evaluation value optimization coefficient of 1.07; The difference is the difference between the diffusion attenuation coefficient and the preset diffusion attenuation coefficient.

[0048] In the embodiment of the present invention, the preset difference value range is [0.15, 0.25], preferably 0.2, but the above value is not limited thereto, and those skilled in the art can also adjust the value according to actual needs.

[0049] In an embodiment of the present invention, the increased air-floating particle retention evaluation value is the product of the air-floating particle retention evaluation value and the preset evaluation value optimization coefficient. The preset evaluation value optimization coefficient includes a first preset evaluation value optimization coefficient, which is 1.05, and a second preset evaluation value optimization coefficient, which is 1.07. In order to ensure that the adjusted air-floating particle retention evaluation value meets actual needs, the adjustment range should not be too large, so the corresponding adjustment coefficient is set to control the adjustment range.

[0050] Specifically, the present invention achieves precise governance through environmental treatment optimization driven by meteorological data. The parameter optimization module judges the effectiveness of the treatment based on the diffusion attenuation coefficient. When the standard is not met, the retention evaluation value of the floating particles is adjusted according to the difference between the diffusion attenuation coefficient and the preset diffusion attenuation coefficient. The impact of meteorological conditions on pollution diffusion is quantified, and the matching degree between treatment measures and meteorological conditions is improved. The retention evaluation value is adjusted in grades according to the degree of deviation to avoid governance lag or excessiveness caused by a single threshold, balance governance accuracy and cost, adapt to the climate characteristics of different regions, and improve the applicability of the system. The rapid response driven by real-time meteorological data shortens the pollution exposure time. Combined with the optimization of the retention evaluation value, the cumulative impact of particulate matter on public health is reduced, and the governance efficiency under complex meteorological conditions is improved.

[0051] See also Figure 4 As shown, it is a flow chart of determining whether the stability of suspended particles in exhaust gas of motor vehicles in a region meets the standard according to an embodiment of the present invention.

[0052] Specifically, the airborne particle analysis module obtains airborne particle concentration change data for a number of cycles under the condition of optimizing the airborne particle retention evaluation value, calculates a particle concentration stability index, and determines whether the stability of airborne particles in the exhaust of motor vehicles in the area meets the standard based on a comparison result of the particle concentration stability index with a preset particle concentration stability index; If the particle concentration stability index is less than or equal to the preset particle concentration stability index, it is determined that the stability of the suspended particles in the exhaust of motor vehicles in the area does not meet the standard; If the particle concentration stability index is greater than the preset particle concentration stability index, it is determined that the stability of the suspended particles in the exhaust of motor vehicles in the area meets the standard.

[0053] In the embodiment of the present invention, the preset particle concentration stability index has a value range of [0.55, 0.65], preferably 0.6, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0054] In the embodiment of the present invention, the particle concentration stability index is obtained by calculating the ratio of the standard deviation of the airborne particle concentration over a number of cycles to the average value of the airborne particle concentration.

[0055] Specifically, the suspended particle analysis module determines whether to adjust the preset collection range or the preset collection time according to a comparison result of the ratio of the particle concentration stability index to the preset particle concentration stability index and the preset ratio when determining that the stability of suspended particles in the exhaust gas of motor vehicles in the area does not meet the standard; If the ratio is less than or equal to the preset ratio, determining to increase the preset acquisition range to a corresponding value by a preset acquisition range adjustment coefficient of 1.2; If the ratio is greater than the preset ratio, it is determined to increase the preset acquisition time to a corresponding value using a preset acquisition time adjustment coefficient of 1.5; The ratio is the ratio of the particle concentration stability index to the preset particle concentration stability index.

[0056] In an embodiment of the present invention, the increased preset collection range is the product of the preset collection range and the preset collection range adjustment coefficient, and the preset collection range adjustment coefficient is 1.2; the increased preset collection time is the product of the preset collection time and the preset collection time adjustment coefficient, and the preset collection time adjustment coefficient is 1.5. In order to ensure that the adjusted preset collection range and preset collection time meet actual needs, the adjustment range should not be too large, so the adjustment coefficient is set accordingly to control the adjustment range.

[0057] Specifically, the present invention uses an air-floating particle analysis module to calculate a stability index based on multi-period concentration data to determine whether the stability meets the standard. If the standard is not met, the monitoring area is expanded or the monitoring time is extended according to the ratio of the stability index to a preset stability index. The particle concentration fluctuation characteristics are quantified according to the stability index, thereby improving the targeted tracking of pollution sources and control measures, improving the adaptability of motor vehicle traffic and emission characteristics in different regions, improving the universality of the system, and improving the particulate matter management efficiency in complex regional environments, thereby improving the timeliness and effectiveness of real-time monitoring of motor vehicle exhaust.

[0058] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

Claims

1. A real-time monitoring and cloud analysis system for motor vehicle exhaust based on the Internet of Things, characterized by: include: A data acquisition module, which is used to obtain in real time the initial retained airborne particle concentration, newly added airborne particle concentration, environmental purification data, meteorological data, and airborne particle concentration change data over several cycles of vehicle exhaust emissions within a preset collection range and for a preset collection time; a gas analysis module, configured to determine whether the sustained impact of the initial retained airborne particles on the environment meets the standards and determine an initial retention impact evaluation value based on a retention time index calculated based on the initial retained airborne particle concentration; a parameter determination module, configured to determine the impact of the accumulation of suspended particles on the environment based on a cumulative impact coefficient obtained from the initial retained suspended particle concentration and the newly added suspended particle concentration, and to determine a suspended particle retention evaluation value; An environmental carrying capacity analysis module, which is used to determine whether the regional environmental carrying capacity status meets the standards based on the environmental purification efficiency index obtained from the environmental purification data; a parameter optimization module for determining whether the diffusion of motor vehicle exhaust in the atmosphere is qualified based on the diffusion attenuation coefficient obtained from the meteorological data, and for optimizing the airborne particle retention evaluation value based on the difference between the diffusion attenuation coefficient and a preset diffusion attenuation coefficient; The suspended particle analysis module is connected to the data acquisition module and is used to determine whether the stability of suspended particles in the exhaust of motor vehicles in the area meets the standard based on the particle concentration stability index obtained from the suspended particle concentration change data, and to adjust the preset collection range or preset collection time according to the ratio of the particle concentration stability index to the preset particle concentration stability index.

2. The real-time monitoring and cloud analysis system for vehicle exhaust based on the Internet of Things according to claim 1 is characterized in that: The gas analysis module determines that the continuous impact of the initial retained airborne particles on the environment meets the standard based on the comparison result that the retention time index is less than or equal to the preset retention time index, and determines a first initial retention impact evaluation value.

3. The real-time monitoring and cloud analysis system for vehicle exhaust based on the Internet of Things according to claim 1 is characterized in that: The gas analysis module determines that the continuous impact of the initial retained airborne particles on the environment does not meet the standard based on the comparison result that the retention time index is greater than the preset retention time index, and determines a second initial retention impact evaluation value.

4. The real-time monitoring and cloud analysis system for vehicle exhaust based on the Internet of Things according to claim 1 is characterized in that: The parameter determination module determines that the impact of the accumulated airborne particles on the environment is qualified based on the comparison result that the cumulative impact coefficient is less than or equal to the preset cumulative impact coefficient, and determines a first airborne particle retention evaluation value under the condition that the initial retention impact evaluation value is determined.

5. The real-time monitoring and cloud analysis system for vehicle exhaust based on the Internet of Things according to claim 1 is characterized in that: The parameter determination module determines that the impact of the accumulation of suspended particles on the environment is unqualified based on the comparison result that the cumulative impact coefficient is greater than the preset cumulative impact coefficient, and determines a second suspended particle retention evaluation value under the condition that the initial retention impact evaluation value is determined.

6. The real-time monitoring and cloud analysis system for vehicle exhaust based on the Internet of Things according to claim 1 is characterized in that: The environmental load analysis module determines that the regional environmental load status meets the standard based on the comparison result that the environmental purification efficiency index is greater than a preset environmental purification efficiency index, under the condition of determining the suspended particle retention evaluation value.

7. The real-time monitoring and cloud analysis system for vehicle exhaust based on the Internet of Things according to claim 6 is characterized in that: The parameter optimization module determines that the diffusion of motor vehicle exhaust in the atmosphere is unqualified based on the comparison result that the diffusion attenuation coefficient obtained based on meteorological data is greater than the preset diffusion attenuation coefficient, under the condition that the diffusion of motor vehicle exhaust in the regional environment is qualified.

8. The real-time monitoring and cloud analysis system for vehicle exhaust based on the Internet of Things according to claim 7 is characterized in that: The parameter optimization module determines and optimizes the airborne particle retention evaluation value based on a comparison result of the difference between the diffusion attenuation coefficient and the preset diffusion attenuation coefficient and the preset difference, under the condition that the diffusion of the motor vehicle exhaust in the atmosphere is determined to be unqualified, wherein: If the difference is less than or equal to the preset difference, the comparison result determines that the airborne particle retention evaluation value is increased by the first preset evaluation value optimization coefficient; If the difference is greater than the preset difference, it is determined to increase the air-suspended particle retention evaluation value by a second preset evaluation value optimization coefficient.

9. The real-time monitoring and cloud analysis system for vehicle exhaust based on the Internet of Things according to claim 1 is characterized in that: The suspended particle analysis module determines that the stability of suspended particles in exhaust gas from motor vehicles in the area does not meet the standard based on a comparison result that the particle concentration stability index is less than or equal to a preset particle concentration stability index, and determines to increase the preset collection range by a preset collection range adjustment coefficient based on a comparison result that a ratio of the particle concentration stability index to the preset particle concentration stability index is less than or equal to a preset ratio.

10. The real-time monitoring and cloud analysis system for vehicle exhaust based on the Internet of Things according to claim 1 is characterized in that: The suspended particle analysis module determines that the stability of suspended particles in exhaust gas from motor vehicles in the area does not meet the standard based on a comparison result that the particle concentration stability index is less than or equal to a preset particle concentration stability index, and determines to increase a preset collection time by a preset collection time adjustment coefficient based on a comparison result that a ratio of the particle concentration stability index to the preset particle concentration stability index is less than or equal to a preset ratio.

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