A method and system for correcting motor vehicle pollutant emissions in a plateau environment
By combining baseline emissions from motor vehicles in plateau environments with changes in plateau disturbance factors from plain environments, this method uses numerical simulation and deep neural networks to accurately calculate pollutant emissions in plateau environments and issues an alarm when emissions exceed a threshold. This solves the problem of the inability to accurately calculate motor vehicle pollutant emissions in plateau environments in existing technologies and achieves pollutant emission correction in plateau environments.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CATARC AUTOMOTIVE TEST CENT (KUNMING) CO LTD
- Filing Date
- 2026-03-13
- Publication Date
- 2026-07-14
AI Technical Summary
Current technology cannot accurately calculate the emissions of motor vehicle pollutants, especially the changes in CO, HC and NOx, in high-altitude environments.
By obtaining the baseline emissions of pollutants in the plain environment and combining them with the changes in disturbance factors in the plateau environment, the plateau correction coefficient is calculated. The disturbance coupling tensor is fitted using numerical simulation and deep neural network to accurately calculate the emissions of pollutants in the plateau environment and issue an alarm message when the threshold is exceeded.
It enables accurate calculation of motor vehicle pollutant emissions in high-altitude environments, provides methods and systems for correcting pollutant emissions in high-altitude environments, and can promptly prompt users to conduct checks.
Smart Images
Figure CN121834119B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of motor vehicle pollutant emission monitoring technology, and more specifically, relates to a method and system for correcting motor vehicle pollutant emissions in high-altitude environments. Background Technology
[0002] In high-altitude environments, due to reduced atmospheric pressure, decreased oxygen content, and temperature changes, the emission characteristics of motor vehicle pollutants change significantly compared to plains areas.
[0003] 1. Reduced combustion efficiency leads to increased CO and HC emissions.
[0004] As the oxygen concentration in the air decreases, incomplete combustion becomes more severe, leading to increased emissions of carbon monoxide (CO) and hydrocarbons (HC). This is especially true in fuel-rich mixtures (where there is more fuel and less oxygen), where incomplete combustion is exacerbated, further increasing CO and HC emissions.
[0005] 2. Reduction of nitrogen oxide (NOx) emissions
[0006] NOx is mainly generated during high-temperature combustion, but due to the lower atmospheric pressure in high-altitude areas, the combustion temperature is lower than in plains areas, thus suppressing NOx formation. Furthermore, engines may adjust their fuel injection strategies to adapt to the high-altitude environment, which may also indirectly affect NOx emissions.
[0007] However, there is no existing technology that can accurately calculate the pollutant emissions of motor vehicles in plateau environments based on the pollutant emissions of motor vehicles in plain environments. Summary of the Invention
[0008] To address the above technical problems, this invention proposes a method for correcting motor vehicle pollutant emissions in high-altitude environments, comprising:
[0009] The emissions of each pollutant from motor vehicles in a plain environment were obtained as the baseline emissions for each pollutant.
[0010] The sets of environmental disturbance factors under plain environment and plateau environment are obtained respectively, and the changes of corresponding pairs of environmental disturbance factors in the two sets of environmental disturbance factors are calculated.
[0011] Based on the change in environmental disturbance factors, a plateau correction factor for the emission of each pollutant is calculated. The plateau correction factor is then multiplied by the baseline emission of the corresponding pollutant to obtain the plateau emission of each pollutant from motor vehicles in a plateau environment.
[0012] Furthermore, the environmental disturbance factors in the set of environmental disturbance factors include:
[0013] Multiple combinations of air pressure, humidity, temperature, oxygen concentration, vehicle speed, air-fuel ratio, and intake airflow rate;
[0014] The change in environmental disturbance factors is the difference between corresponding pairwise environmental disturbance factors.
[0015] Furthermore, it also includes: displaying the plateau emissions to the user, and issuing an alarm message when the plateau emissions exceed a threshold, prompting the user to inspect the corresponding vehicle.
[0016] Furthermore, the plateau correction factor for the emissions of each pollutant is calculated, specifically as follows:
[0017]
[0018] in, For the set of environmental disturbance factors The Plateau correction factor for emissions of each pollutant. Set of environmental disturbance factors The change in environmental disturbance factors. For the first The weight of each pollutant, Set of environmental disturbance factors Changes in environmental disturbance factors Coupled with perturbation tensor The parameter is the first The perturbation projection function of each pollutant, where the perturbation coupling tensor It is used to describe the combined effect of changes in multiple environmental disturbance factors on pollutant emissions.
[0019] Furthermore, the first Weight of each pollutant Specifically:
[0020]
[0021] in, For the first The basic weight of each pollutant For the first The change in the first environmental disturbance factor affects the... The disturbance coefficient of each pollutant, For the first The first weight of the change in each environmental disturbance factor For the first The change in each environmental disturbance factor, of which the first... The change in the first environmental disturbance factor affects the... Disturbance coefficient of each pollutant It is used to describe the impact of changes in a single environmental disturbance factor on pollutant emissions.
[0022] Furthermore, based on the set of environmental disturbance factors Changes in environmental disturbance factors Coupled with perturbation tensor The Perturbation projection function of each pollutant Specifically:
[0023]
[0024] in, For the first Adjustment factor for the change in each environmental disturbance factor. For the first The change in each environmental disturbance factor For the first The pollutant and the first The perturbation coupling tensor between the changes of various environmental perturbation factors For the first The change in each environmental disturbance factor The correction function for pollutant perturbations. For the first The second weight of the change in each environmental disturbance factor.
[0025] Furthermore, based on the first The change in each environmental disturbance factor Correction function for pollutant perturbations Specifically:
[0026]
[0027] in, For the first The third weight of the change in each environmental disturbance factor.
[0028] Furthermore, the perturbation coupling tensor is fitted using numerical simulation or a deep neural network (DNN). .
[0029] Furthermore, by using linear regression, the first... The change in the first environmental disturbance factor affects the... Disturbance coefficient of each pollutant .
[0030] This invention also proposes a vehicle pollutant emission correction system for high-altitude environments, comprising:
[0031] A baseline emission module is set up to obtain the emission amount of each pollutant from motor vehicles in a plain environment, which serves as the baseline emission amount for each pollutant.
[0032] The module for acquiring environmental disturbance factors is used to acquire the sets of environmental disturbance factors under plain environment and the sets of environmental disturbance factors under plateau environment, respectively, and to calculate the changes in corresponding pairs of environmental disturbance factors in the two sets of environmental disturbance factors.
[0033] The high-altitude emission calculation module is used to calculate the high-altitude correction coefficient for the emission of each pollutant based on the change in environmental disturbance factors. The high-altitude correction coefficient is then multiplied by the baseline emission of the corresponding pollutant to obtain the high-altitude emission of each pollutant from motor vehicles in a high-altitude environment.
[0034] In summary, the technical solutions conceived by this invention have the following beneficial effects compared with the prior art:
[0035] Through the above technical solutions, this invention can use the pollutant emissions of motor vehicles in plain environments as a basis, and by setting a plateau correction coefficient, can accurately calculate the plateau emissions of each pollutant from motor vehicles in plateau environments. Attached Figure Description
[0036] Figure 1 This is a flowchart of the method in Embodiment 1 of the present invention;
[0037] Figure 2 This is a system structure diagram of Embodiment 2 of the present invention;
[0038] Figure 3 This is a schematic diagram of the interface for calculating the plateau correction coefficient in this invention. Detailed Implementation
[0039] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.
[0040] The method provided by this invention can be implemented in a terminal environment that may include one or more of the following components: a processor, a storage medium, and a display screen. The storage medium stores at least one instruction, which is loaded and executed by the processor to implement the method described in the following embodiments.
[0041] A processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts of the terminal, and performs various functions and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and by calling data stored in the storage medium.
[0042] Storage media can include random access memory (RAM) or read-only memory (ROM). Storage media can be used to store instructions, programs, code, code sets, or instructions.
[0043] The display screen is used to show the user interface of each application.
[0044] In addition, those skilled in the art will understand that the structure of the terminal described above does not constitute a limitation on the terminal. The terminal may include more or fewer components, or combine certain components, or have different component arrangements. For example, the terminal may also include radio frequency circuits, input units, sensors, audio circuits, power supplies, and other components, which will not be described in detail here.
[0045] Example 1
[0046] like Figure 1 This embodiment proposes a method for correcting motor vehicle pollutant emissions in high-altitude environments, including:
[0047] Step 101: Obtain the emission amount of each pollutant from motor vehicles in a plain environment, and use it as the baseline emission amount of each pollutant;
[0048] Step 102: Obtain the set of environmental disturbance factors under plain environment and the set of environmental disturbance factors under plateau environment respectively, and calculate the change of corresponding pairs of environmental disturbance factors in the two sets of environmental disturbance factors.
[0049] Specifically, the environmental disturbance factors in the set of environmental disturbance factors include:
[0050] Multiple combinations of air pressure, humidity, temperature, oxygen concentration, vehicle speed, air-fuel ratio, and intake airflow rate;
[0051] The change in environmental disturbance factors is the difference between corresponding pairwise environmental disturbance factors.
[0052] Step 103: Calculate the plateau correction coefficient for the emission of each pollutant based on the change in environmental disturbance factors, and multiply the plateau correction coefficient by the baseline emission of the corresponding pollutant to obtain the plateau emission of each pollutant from motor vehicles in a plateau environment.
[0053] Specifically, calculate the plateau correction factor for the emissions of each pollutant, such as... Figure 3 The interface diagram shown is for calculating the plateau correction factor.
[0054]
[0055] in, For the set of environmental disturbance factors The Plateau correction factor for emissions of each pollutant. Set of environmental disturbance factors The change in environmental disturbance factors. For the first The weight of each pollutant, Set of environmental disturbance factors Changes in environmental disturbance factors Coupled with perturbation tensor The parameter is the first The perturbation projection function of each pollutant, where the perturbation coupling tensor It is used to describe the combined effect of changes in multiple environmental disturbance factors on pollutant emissions.
[0056] Specifically, the first Weight of each pollutant Specifically:
[0057]
[0058] in, For the first The basic weight of each pollutant For the first The change in the first environmental disturbance factor affects the... The disturbance coefficient of each pollutant, For the first The first weight of the change in each environmental disturbance factor For the first The change in each environmental disturbance factor, of which the first... The change in the first environmental disturbance factor affects the... Disturbance coefficient of each pollutant It is used to describe the impact of changes in a single environmental disturbance factor on pollutant emissions.
[0059] Specifically, based on the set of environmental disturbance factors Changes in environmental disturbance factors Coupled with perturbation tensor The Perturbation projection function of each pollutant Specifically:
[0060]
[0061] in, For the first Adjustment factor for the change in each environmental disturbance factor. For the first The change in each environmental disturbance factor For the first The pollutant and the first The perturbation coupling tensor between the changes of various environmental perturbation factors For the first The change in each environmental disturbance factor The correction function for pollutant perturbations. For the first The second weight of the change in each environmental disturbance factor.
[0062] Specifically, based on the first The change in each environmental disturbance factor Correction function for pollutant perturbations Specifically:
[0063]
[0064] in, For the first The third weight of the change in each environmental disturbance factor.
[0065] Specifically, the perturbation coupling tensor is fitted using numerical simulation or a deep neural network (DNN). .
[0066] Preferably, in this example, the perturbation coupling tensor is fitted using numerical simulation. For example, see below:
[0067] Simulating engine emissions using CFD (Computational Fluid Dynamics):
[0068] 1. Selecting pollutants and environmental factors:
[0069] Target pollutants: NOx, CO, PM, HC
[0070] Environmental disturbance factors: air temperature (T), humidity (H), oxygen concentration ( ), air pressure (P)
[0071] 2. Use CFD software (such as Ansys Fluent or OpenFOAM):
[0072] Construct a numerical model of an internal combustion engine or exhaust system;
[0073] Set different high-altitude environmental conditions (such as low oxygen and high humidity).
[0074] Run combustion simulations to record the trend of pollutant emissions as environmental parameters change.
[0075] 3. Data Processing:
[0076] Set the variation of multiple environmental disturbance factors (e.g., a 10°C drop in temperature or a 20% drop in air pressure).
[0077] Record pollutant emission data under each disturbance.
[0078] The perturbation coupling tensor is fitted using regression methods (such as least squares). .
[0079] Specifically, the linear regression method is used to obtain the first... The change in the first environmental disturbance factor affects the... Disturbance coefficient of each pollutant .
[0080] Preferably, assuming we tested the effects of multiple environmental disturbances (such as temperature, humidity, and oxygen concentration) on NOx emissions, specifically, after testing, for every increase in temperature... If the NOx concentration increases by 0.8%, the perturbation coefficient will... The disturbance coefficient is 0.8; for every 1% increase in humidity, the NOx concentration increases by 0.4%, and the disturbance coefficient is... The perturbation coefficient is 0.4; for every 1% increase in oxygen concentration, the NOx concentration decreases by 2.5% (due to more complete combustion). It is -2.5.
[0081] Specifically, this also includes: displaying the plateau emissions to the user, and issuing an alarm message when the plateau emissions exceed a threshold, prompting the user to inspect the corresponding vehicle.
[0082] Example 2
[0083] like Figure 2 As shown, this embodiment proposes a vehicle pollutant emission correction system for high-altitude environments, comprising:
[0084] A baseline emission module is set up to obtain the emission amount of each pollutant from motor vehicles in a plain environment, which serves as the baseline emission amount for each pollutant.
[0085] The module for acquiring environmental disturbance factors is used to acquire the sets of environmental disturbance factors under plain environment and the sets of environmental disturbance factors under plateau environment, respectively, and to calculate the changes in corresponding pairs of environmental disturbance factors in the two sets of environmental disturbance factors.
[0086] Specifically, the environmental disturbance factors in the set of environmental disturbance factors include:
[0087] Multiple combinations of air pressure, humidity, temperature, oxygen concentration, vehicle speed, air-fuel ratio, and intake airflow rate;
[0088] The change in environmental disturbance factors is the difference between corresponding pairwise environmental disturbance factors.
[0089] The high-altitude emission calculation module is used to calculate the high-altitude correction coefficient for the emission of each pollutant based on the change in environmental disturbance factors. The high-altitude correction coefficient is then multiplied by the baseline emission of the corresponding pollutant to obtain the high-altitude emission of each pollutant from motor vehicles in a high-altitude environment.
[0090] Specifically, the plateau correction factor for the emissions of each pollutant is calculated as follows:
[0091]
[0092] in, For the set of environmental disturbance factors The Plateau correction factor for emissions of each pollutant. Set of environmental disturbance factors The change in environmental disturbance factors. For the first The weight of each pollutant, Set of environmental disturbance factors Changes in environmental disturbance factors Coupled with perturbation tensor The parameter is the first The perturbation projection function of each pollutant, where the perturbation coupling tensor It is used to describe the combined effect of changes in multiple environmental disturbance factors on pollutant emissions.
[0093] Specifically, the first Weight of each pollutant Specifically:
[0094]
[0095] in, For the first The basic weight of each pollutant For the first The change in the first environmental disturbance factor affects the... The disturbance coefficient of each pollutant, For the first The first weight of the change in each environmental disturbance factor For the first The change in each environmental disturbance factor, of which the first... The change in the first environmental disturbance factor affects the... Disturbance coefficient of each pollutant It is used to describe the impact of changes in a single environmental disturbance factor on pollutant emissions.
[0096] Specifically, based on the set of environmental disturbance factors Changes in environmental disturbance factors Coupled with perturbation tensor The Perturbation projection function of each pollutant Specifically:
[0097]
[0098] in, For the first Adjustment factor for the change in each environmental disturbance factor. For the first The change in each environmental disturbance factor For the first The pollutant and the first The perturbation coupling tensor between the changes of various environmental perturbation factors For the first The change in each environmental disturbance factor The correction function for pollutant perturbations. For the first The second weight of the change in each environmental disturbance factor.
[0099] Specifically, based on the first The change in each environmental disturbance factor Correction function for pollutant perturbations Specifically:
[0100]
[0101] in, For the first The third weight of the change in each environmental disturbance factor.
[0102] Specifically, the perturbation coupling tensor is fitted using numerical simulation or a deep neural network (DNN). .
[0103] Specifically, the linear regression method is used to obtain the first... The change in the first environmental disturbance factor affects the... Disturbance coefficient of each pollutant .
[0104] Specifically, this also includes: displaying the plateau emissions to the user, and issuing an alarm message when the plateau emissions exceed a threshold, prompting the user to inspect the corresponding vehicle.
[0105] Example 3
[0106] This invention also proposes a storage medium storing multiple instructions for implementing the aforementioned method for correcting motor vehicle pollutant emissions in a high-altitude environment.
[0107] Optionally, in this embodiment, the storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any mobile terminal in a group of mobile terminals.
[0108] Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: Step 101, obtaining the emission amount of each pollutant from motor vehicles in a plain environment as the baseline emission amount of each pollutant;
[0109] Step 102: Obtain the set of environmental disturbance factors under plain environment and the set of environmental disturbance factors under plateau environment respectively, and calculate the change of corresponding pairs of environmental disturbance factors in the two sets of environmental disturbance factors.
[0110] Specifically, the environmental disturbance factors in the set of environmental disturbance factors include:
[0111] Multiple combinations of air pressure, humidity, temperature, oxygen concentration, vehicle speed, air-fuel ratio, and intake airflow rate;
[0112] The change in environmental disturbance factors is the difference between corresponding pairwise environmental disturbance factors.
[0113] Step 103: Calculate the plateau correction coefficient for the emission of each pollutant based on the change in environmental disturbance factors, and multiply the plateau correction coefficient by the baseline emission of the corresponding pollutant to obtain the plateau emission of each pollutant from motor vehicles in a plateau environment.
[0114] Specifically, the plateau correction factor for the emissions of each pollutant is calculated as follows:
[0115]
[0116] in, For the set of environmental disturbance factors The Plateau correction factor for emissions of each pollutant. Set of environmental disturbance factors The change in environmental disturbance factors. For the first The weight of each pollutant, Set of environmental disturbance factors Changes in environmental disturbance factors Coupled with perturbation tensor The parameter is the first The perturbation projection function of each pollutant, where the perturbation coupling tensor It is used to describe the combined effect of changes in multiple environmental disturbance factors on pollutant emissions.
[0117] Specifically, the first Weight of each pollutant Specifically:
[0118]
[0119] in, For the first The basic weight of each pollutant For the first The change in the first environmental disturbance factor affects the... The disturbance coefficient of each pollutant, For the first The first weight of the change in each environmental disturbance factor For the first The change in each environmental disturbance factor, of which the first... The change in the first environmental disturbance factor affects the... Disturbance coefficient of each pollutant It is used to describe the impact of changes in a single environmental disturbance factor on pollutant emissions.
[0120] Specifically, based on the set of environmental disturbance factors Changes in environmental disturbance factors Coupled with perturbation tensor The Perturbation projection function of each pollutant Specifically:
[0121]
[0122] in, For the first Adjustment factor for the change in each environmental disturbance factor. For the first The change in each environmental disturbance factor For the first The pollutant and the first The perturbation coupling tensor between the changes of various environmental perturbation factors For the first The change in each environmental disturbance factor The correction function for pollutant perturbations. For the first The second weight of the change in each environmental disturbance factor.
[0123] Specifically, based on the first The change in each environmental disturbance factor Correction function for pollutant perturbations Specifically:
[0124]
[0125] in, For the first The third weight of the change in each environmental disturbance factor.
[0126] Specifically, the perturbation coupling tensor is fitted using numerical simulation or a deep neural network (DNN). .
[0127] Specifically, the linear regression method is used to obtain the first... The change in the first environmental disturbance factor affects the... Disturbance coefficient of each pollutant .
[0128] Specifically, this also includes: displaying the plateau emissions to the user, and issuing an alarm message when the plateau emissions exceed a threshold, prompting the user to inspect the corresponding vehicle.
[0129] Example 4
[0130] This invention also proposes an electronic device, including a processor and a storage medium connected to the processor. The storage medium stores multiple instructions, which can be loaded and executed by the processor to enable the processor to execute the aforementioned method for correcting motor vehicle pollutant emissions in a high-altitude environment.
[0131] Specifically, the electronic device in this embodiment can be a computer terminal, which may include one or more processors and a storage medium.
[0132] The storage medium can be used to store software programs and modules, such as the method for correcting motor vehicle pollutant emissions in a high-altitude environment according to an embodiment of the present invention. The corresponding program instructions / modules are executed by the processor through running the software programs and modules stored in the storage medium, thereby performing various functional applications and data processing, thus realizing the aforementioned method for correcting motor vehicle pollutant emissions in a high-altitude environment. The storage medium may include high-speed random access storage media, and may also include non-volatile storage media, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage media. In some instances, the storage medium may further include storage media remotely configured relative to the processor, and these remote storage media can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.
[0133] The processor can call the information and application stored in the storage medium through the transmission system to perform the following steps: Step 101, obtain the emission amount of each pollutant of motor vehicles in a plain environment as the baseline emission amount of each pollutant;
[0134] Step 102: Obtain the set of environmental disturbance factors under plain environment and the set of environmental disturbance factors under plateau environment respectively, and calculate the change of corresponding pairs of environmental disturbance factors in the two sets of environmental disturbance factors.
[0135] Specifically, the environmental disturbance factors in the set of environmental disturbance factors include:
[0136] Multiple combinations of air pressure, humidity, temperature, oxygen concentration, vehicle speed, air-fuel ratio, and intake airflow rate;
[0137] The change in environmental disturbance factors is the difference between corresponding pairwise environmental disturbance factors.
[0138] Step 103: Calculate the plateau correction coefficient for the emission of each pollutant based on the change in environmental disturbance factors, and multiply the plateau correction coefficient by the baseline emission of the corresponding pollutant to obtain the plateau emission of each pollutant from motor vehicles in a plateau environment.
[0139] Specifically, the plateau correction factor for the emissions of each pollutant is calculated as follows:
[0140]
[0141] in, For the set of environmental disturbance factors The Plateau correction factor for emissions of each pollutant. Set of environmental disturbance factors The change in environmental disturbance factors. For the first The weight of each pollutant, Set of environmental disturbance factors Changes in environmental disturbance factors Coupled with perturbation tensor The parameter is the first The perturbation projection function of each pollutant, where the perturbation coupling tensor It is used to describe the combined effect of changes in multiple environmental disturbance factors on pollutant emissions.
[0142] Specifically, the first Weight of each pollutant Specifically:
[0143]
[0144] in, For the first The basic weight of each pollutant For the first The change in the first environmental disturbance factor affects the... The disturbance coefficient of each pollutant, For the first The first weight of the change in each environmental disturbance factor For the first The change in each environmental disturbance factor, of which the first... The change in the first environmental disturbance factor affects the... Disturbance coefficient of each pollutant It is used to describe the impact of changes in a single environmental disturbance factor on pollutant emissions.
[0145] Specifically, based on the set of environmental disturbance factors Changes in environmental disturbance factors Coupled with perturbation tensor The Perturbation projection function of each pollutant Specifically:
[0146]
[0147] in, For the first Adjustment factor for the change in each environmental disturbance factor. For the first The change in each environmental disturbance factor For the first The pollutant and the first The perturbation coupling tensor between the changes of various environmental perturbation factors For the first The change in each environmental disturbance factor The correction function for pollutant perturbations. For the first The second weight of the change in each environmental disturbance factor.
[0148] Specifically, based on the first The change in each environmental disturbance factor Correction function for pollutant perturbations Specifically:
[0149]
[0150] in, For the first The third weight of the change in each environmental disturbance factor.
[0151] Specifically, the perturbation coupling tensor is fitted using numerical simulation or a deep neural network (DNN). .
[0152] Specifically, the linear regression method is used to obtain the first... The change in the first environmental disturbance factor affects the... Disturbance coefficient of each pollutant .
[0153] Specifically, this also includes: displaying the plateau emissions to the user, and issuing an alarm message when the plateau emissions exceed a threshold, prompting the user to inspect the corresponding vehicle.
[0154] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.
[0155] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.
[0156] In the several embodiments provided by this invention, it should be understood that the disclosed technical content can be implemented in other ways. The system embodiments described above are merely illustrative; for example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between units or modules, and may be electrical or other forms.
[0157] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0158] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0159] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, optical disks, and other media capable of storing program code.
[0160] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.
Claims
1. A method for correcting motor vehicle pollutant emissions in high-altitude environments, characterized in that, include: The emissions of each pollutant from motor vehicles in a plain environment were obtained as the baseline emissions for each pollutant. The sets of environmental disturbance factors under plain environment and plateau environment are obtained respectively, and the changes of corresponding pairs of environmental disturbance factors in the two sets of environmental disturbance factors are calculated. Based on the change in environmental disturbance factors, the plateau correction factor for the emission of each pollutant is calculated. The plateau correction factor is then multiplied by the baseline emission of the corresponding pollutant to obtain the plateau emission of each pollutant from motor vehicles in a plateau environment. The plateau correction factor for the emissions of each pollutant is calculated as follows: ， in, For the set of environmental disturbance factors The Plateau correction factor for emissions of each pollutant. Set of environmental disturbance factors The change in environmental disturbance factors. For the first The weight of each pollutant, Set of environmental disturbance factors Changes in environmental disturbance factors Coupled with perturbation tensor The parameter is the first The perturbation projection function of each pollutant, where the perturbation coupling tensor This is used to describe the combined effect of changes in multiple environmental disturbance factors on pollutant emissions; No. Weight of each pollutant Specifically: ， in, For the first The basic weight of each pollutant For the first The change in the first environmental disturbance factor affects the... The disturbance coefficient of each pollutant, For the first The first weight of the change in each environmental disturbance factor For the first The change in each environmental disturbance factor, of which the first... The change in the first environmental disturbance factor affects the... Disturbance coefficient of each pollutant It is used to describe the impact of changes in a single environmental disturbance factor on pollutant emissions; Based on the set of environmental disturbance factors Changes in environmental disturbance factors Coupled with perturbation tensor The Perturbation projection function of each pollutant Specifically: ， in, For the first Adjustment factor for the change in each environmental disturbance factor. For the first The change in each environmental disturbance factor For the first The pollutant and the first The perturbation coupling tensor between the changes of various environmental perturbation factors For the first The change in each environmental disturbance factor The correction function for pollutant perturbations. For the first The second weight of the change in each environmental disturbance factor; Based on the The change in each environmental disturbance factor Correction function for pollutant perturbations Specifically: ， in, For the first The third weight of the change in each environmental disturbance factor.
2. The method for correcting motor vehicle pollutant emissions in a high-altitude environment as described in claim 1, characterized in that, The environmental disturbance factors in the set of environmental disturbance factors include: Multiple combinations of air pressure, humidity, temperature, oxygen concentration, vehicle speed, air-fuel ratio, and intake airflow rate; The change in environmental disturbance factors is the difference between corresponding pairwise environmental disturbance factors.
3. The method for correcting motor vehicle pollutant emissions in a high-altitude environment as described in claim 1, characterized in that, Also includes: The emission levels at high altitudes will be displayed to the user. When the emission levels at high altitudes exceed a threshold, an alarm message will be issued to prompt the user to inspect the corresponding vehicle.
4. The method for correcting motor vehicle pollutant emissions in a high-altitude environment as described in claim 1, characterized in that, The perturbation coupling tensor is fitted using numerical simulation or a deep neural network (DNN). .
5. The method for correcting motor vehicle pollutant emissions in a high-altitude environment as described in claim 4, characterized in that, Using linear regression, the first... The change in the first environmental disturbance factor affects the... Disturbance coefficient of each pollutant .
6. A vehicle pollutant emission correction system for high-altitude environments, characterized in that, include: A baseline emission module is set up to obtain the emission amount of each pollutant from motor vehicles in a plain environment, which serves as the baseline emission amount for each pollutant. The module for acquiring environmental disturbance factors is used to acquire the sets of environmental disturbance factors under plain environment and the sets of environmental disturbance factors under plateau environment, respectively, and to calculate the changes in corresponding pairs of environmental disturbance factors in the two sets of environmental disturbance factors. The high-altitude emission calculation module is used to calculate the high-altitude correction coefficient for the emission of each pollutant based on the change in environmental disturbance factors. The high-altitude correction coefficient is multiplied by the baseline emission of the corresponding pollutant to obtain the high-altitude emission of each pollutant from motor vehicles in a high-altitude environment. The plateau correction factor for the emissions of each pollutant is calculated as follows: ， in, For the set of environmental disturbance factors The Plateau correction factor for emissions of each pollutant. Set of environmental disturbance factors The change in environmental disturbance factors. For the first The weight of each pollutant, Set of environmental disturbance factors Changes in environmental disturbance factors Coupled with perturbation tensor The parameter is the first The perturbation projection function of each pollutant, where the perturbation coupling tensor This is used to describe the combined effect of changes in multiple environmental disturbance factors on pollutant emissions; No. Weight of each pollutant Specifically: ， in, For the first The basic weight of each pollutant For the first The change in the first environmental disturbance factor affects the... The disturbance coefficient of each pollutant, For the first The first weight of the change in each environmental disturbance factor For the first The change in each environmental disturbance factor, of which the first... The change in the first environmental disturbance factor affects the... Disturbance coefficient of each pollutant It is used to describe the impact of changes in a single environmental disturbance factor on pollutant emissions; Based on the set of environmental disturbance factors Changes in environmental disturbance factors Coupled with perturbation tensor The Perturbation projection function of each pollutant Specifically: ， in, For the first Adjustment factor for the change in each environmental disturbance factor. For the first The change in each environmental disturbance factor For the first The pollutant and the first The perturbation coupling tensor between the changes of various environmental perturbation factors For the first The change in each environmental disturbance factor The correction function for pollutant perturbations. For the first The second weight of the change in each environmental disturbance factor; Based on the The change in each environmental disturbance factor Correction function for pollutant perturbations Specifically: ， in, For the first The third weight of the change in each environmental disturbance factor.