Method and system for pre-diagnosing air quality of whole vehicle and electronic equipment

Abstract

The invention belongs to the field of vehicles, and discloses a whole vehicle air quality pre-diagnosis method and system and electronic equipment, and the method comprises the steps: obtaining a whole vehicle part list; determining a pollutant emission index of each part in the whole vehicle part list according to a preset pollutant database; and according to the pollutant emission index of each part, the air quality index of the whole vehicle is calculated, and the air quality grade of the whole vehicle is determined according to the air quality index of the whole vehicle. According to the method, the in-vehicle air quality can be predicted and evaluated in advance, so that the potential air quality problem can be identified before mass production, measures can be taken in time in the design and production process, the high rectification cost caused by the air quality problem in the later period is reduced, and the production efficiency is improved. And meanwhile, the pollutant emission index of the part is accurately calculated, so that a key pollution source can be more accurately identified and controlled, emission of pollutants in the vehicle is reduced from the source, and the health and comfort of the environment in the vehicle are improved.

Description

Technical Field

[0001] The present invention relates to the field of vehicles, and in particular to a method, system, electronic device and computer-readable storage medium for pre-diagnosis of vehicle air quality. Background Art

[0002] With the rapid development of the automotive industry, in-vehicle air quality has become a key concern for consumers. In-vehicle air pollutants not only affect passenger comfort but can also have long-term impacts on human health. Currently, the control and evaluation of in-vehicle air quality primarily relies on testing and analyzing the pollutant emission characteristics of the vehicle and its components.

[0003] However, existing in-vehicle air quality assessment methods have limitations. Traditional testing methods often require post-production testing, making it difficult to predict and assess vehicle air quality early on. This limits preventative control of in-vehicle air quality, leading to high rectification costs once air quality issues are discovered.

[0004] Therefore, how to achieve early prediction and evaluation of vehicle air quality is a technical problem to be solved by those skilled in the art. Summary of the Invention

[0005] In order to solve the problem in the prior art that it is difficult to predict and evaluate the air quality of a whole vehicle at an early stage, the present invention provides a method, system, electronic device and computer-readable storage medium for pre-diagnosis of the air quality of a whole vehicle.

[0006] A method for pre-diagnosis of vehicle air quality, comprising: Get the vehicle parts list; Determining a pollutant emission index for each component in the vehicle components list based on a preset pollutant database; The vehicle air quality index is calculated based on the pollutant emission index of each component, and the vehicle air quality grade is determined based on the vehicle air quality index.

[0007] Optionally, obtaining a vehicle parts list includes: Obtaining a parts approval list and obtaining full spectrum test data for all parts in the parts approval list; Detecting whether there are any parts in the approved parts list that have excessive pollutants based on the full spectrum test data; If so, the parts with excessive pollutants will be deleted from the approved parts list, and safe parts of the same model as the parts with excessive pollutants will be added to the approved parts list; the safe parts are parts with no excessive pollutants. When there are no parts with excessive pollutants in the approved parts list, the approved parts list will be determined as the complete vehicle parts list.

[0008] Optionally, the pollutant emission index includes an odor pollutant index; Determining the pollutant emission index of each component in the vehicle parts list based on a preset pollutant database includes: For each component in the vehicle parts list, obtaining an odor threshold parameter of each odor pollutant from the pollutant database; Calculating a first threshold dilution factor of each odor pollutant emitted by the component based on the olfactory threshold parameter and the full spectrum detection data of the component; The odor pollutant index of the component is calculated based on the first threshold dilution factor of all odor pollutants emitted by the component.

[0009] Optionally, the pollutant emission index includes an organic pollutant index; Determining the pollutant emission index of each component in the vehicle parts list based on a preset pollutant database includes: For each component in the vehicle parts list, obtaining an organic threshold parameter of the component from the pollutant database; Calculating the second threshold dilution factor of each organic pollutant emitted by the component based on the organic threshold parameter of the component and the full spectrum detection data; The organic pollutant index of the component is calculated based on the second threshold dilution factor of all organic pollutants emitted by the component.

[0010] Optionally, the method further includes: Calculate the organic pollutant contribution of each component according to the organic pollutant index of each component; Rank each component in descending order of contribution of the organic pollutants, and focus on monitoring the top n components; Where n is a preset value.

[0011] Optionally, the method further includes: sorting each of the organic pollutants in descending order according to the second threshold dilution multiple; The top m organic pollutants are determined as the main organic pollutants of the whole vehicle project; Wherein, m is a preset value.

[0012] Optionally, determining the vehicle air quality level according to the vehicle air quality index includes: Obtain historical vehicle air indexes of multiple historical vehicles from a preset pollutant source database; A fitting curve is generated according to the historical vehicle air quality index, and a vehicle air quality level corresponding to the vehicle air quality index is calculated according to the fitting curve.

[0013] A vehicle air quality pre-diagnosis system, comprising: Acquisition module, used to obtain the vehicle parts list; a pollutant index determination module, configured to determine the pollutant emission index of each component in the vehicle parts list based on a preset pollutant database; The calculation module is used to calculate the air quality index of the entire vehicle according to the pollutant emission index of each of the components, and determine the air quality level of the entire vehicle according to the air quality index of the entire vehicle.

[0014] An electronic device, comprising: A processor and a memory, wherein the memory is used to store at least one instruction, and when the instruction is loaded and executed by the processor, it implements the method for pre-diagnosis of vehicle air quality as described in any one of the above.

[0015] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the method for pre-diagnosis of vehicle air quality as described in any one of the above.

[0016] The method for pre-diagnosing vehicle air quality, provided by an embodiment of the present invention, obtains a vehicle parts list; determines the pollutant emission index of each component in the vehicle parts list based on a preset pollutant database; calculates the vehicle air quality index based on the pollutant emission index of each component; and determines the vehicle air quality grade based on the vehicle air quality index. By obtaining the parts list and utilizing the pollutant database during the vehicle development phase, the present invention can predict and assess in-vehicle air quality in advance, thereby identifying potential air quality issues before mass production. Furthermore, by calculating the vehicle air quality index and determining the grade, it provides automakers with a preventative control tool, enabling timely action during the design and production process, reducing the high cost of remediation later due to air quality issues and improving production efficiency. Furthermore, by accurately calculating the pollutant emission index of each component, key pollution sources can be more accurately identified and controlled, thereby reducing the emission of pollutants in the vehicle at the source and improving the health and comfort of the in-vehicle environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 A flow chart of a method for pre-diagnosis of vehicle air quality provided by an embodiment of the present invention; Figure 2 This is an example diagram of a pollutant database provided by an embodiment of the present invention; Figure 3 for Figure 1 A flowchart of an actual performance of S01 in a method for pre-diagnosis of vehicle air quality is provided; Figure 4 for Figure 1 A flowchart of a practical expression of S02 in a method for pre-diagnosis of vehicle air quality is provided; Figure 5 for Figure 1 A flowchart of another practical expression of S02 in a method for pre-diagnosis of vehicle air quality is provided; Figure 6 This is an example diagram of a pollutant traceability library provided by an embodiment of the present invention; Figure 7 This is a structural diagram of a vehicle air quality pre-diagnosis system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to better understand the technical solution of the present invention, the embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0020] It should be understood that the embodiments described are only a portion of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative work are within the scope of protection of the present invention.

[0021] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The singular forms "a", "an", "the" and "the" used in the embodiments of the present invention and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise.

[0022] It should be understood that the term "and / or" as used herein is merely a description of the relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document generally indicates that the associated objects are in an "or" relationship.

[0023] With the rapid development of the automotive industry, in-vehicle air quality has become a key concern for consumers. In-vehicle air pollutants not only affect passenger comfort but can also have long-term impacts on human health. Currently, the control and evaluation of in-vehicle air quality primarily relies on testing and analyzing the pollutant emission characteristics of the vehicle and its components.

[0024] However, existing methods for evaluating in-vehicle air quality have limitations. Traditional testing methods often require post-production testing, making it difficult to predict and assess vehicle air quality early on. This limits preventative control of in-vehicle air quality, leading to high costs for correcting air quality issues once they are discovered. The present invention therefore provides a method for pre-diagnosing vehicle air quality to address these issues.

[0025] Please refer to Figure 1 , which is a flow chart of a method for pre-diagnosis of vehicle air quality provided by an embodiment of the present invention, comprising the following steps: Step S01: Obtain a vehicle parts list.

[0026] In this embodiment, the vehicle parts list may include components from the engine, chassis, body, electrical system, to interior, along with their respective models, specifications, and quantities. Obtaining the vehicle parts list is necessary to enable a pollutant emission index assessment for each component. This involves identifying and recording all components that may affect in-vehicle air quality, such as plastics, rubber, adhesives, and coatings, which may release volatile organic compounds (VOCs) and other harmful gases during production and use. This list ensures that no potential pollution sources are missed during vehicle air quality control and assessment, thereby achieving comprehensive and accurate in-vehicle air quality management.

[0027] In some embodiments, obtaining a vehicle parts list can be accomplished by obtaining the vehicle's design drawings, material specifications, supply chain information, and a bill of materials (BOM) from the manufacturing process. The BOM records detailed information about each component, including supplier, material type, chemical composition, and expected pollutant emission characteristics.

[0028] Step S02: determining the pollutant emission index of each component in the vehicle component list according to a preset pollutant database.

[0029] In this embodiment, the pollutant database contains the types of pollutants that various materials and components may emit under specific conditions and their emission rates. This process involves matching each component in the vehicle parts list with the corresponding material type in the database to determine the pollutants they may release.

[0030] Through this process, each component is assigned a pollutant emission index (PEI), which reflects the component's potential to release pollutants under normal operating conditions. This PIE is calculated based on factors such as the component's material composition, manufacturing process, and operating environment, providing data support for the assessment of vehicle air quality.

[0031] Please refer to Figure 2 , which is an example diagram of a pollutant database provided by an embodiment of the present invention. In some embodiments, the pollutant database can be established by pre-collecting and analyzing the pollutant emission data of various materials under specific conditions, which can provide users with a reference standard so that they can predict and evaluate the impact that each component may have on the air quality inside the vehicle during the design and production stages. For example, the pollutant database may include three types of pollutants: one is benzene, toluene, ethylbenzene, xylene, and styrene required by the industry's component VOC internal control standards; the second is common odor pollutants in vehicle air, which can specifically be the 17 odor pollutants required by the "Passenger Car Odor Pollutant Control Standards"; the third is common volatile organic compounds in vehicle air, which is a collection of the top 25 pollutants detected by all vehicle VOC and component VOC tests in the internal control of the main engine factory.

[0032] In some embodiments, as mentioned in step S02, the pollutant emission index of each component in the vehicle parts list is determined based on a preset pollutant database, which may be specifically: The vehicle's parts list is compared to the database, matching each component's material type, specifications, and operating environment with the information in the database. This matching process allows each component to be assigned a corresponding pollutant emission index (PEI). This index reflects the amount of pollutants a component is likely to release under normal operating conditions. For example, if a component uses a plastic known to emit high levels of formaldehyde, the PEI for that component will be higher.

[0033] Step S03 , calculating the vehicle air quality index based on the pollutant emission index of each component, and determining the vehicle air quality grade based on the vehicle air quality index.

[0034] In this embodiment, the pollutant emission indices of all vehicle components are aggregated to produce a comprehensive indicator reflecting the overall interior air quality of the vehicle. The Vehicle Air Quality Index (VAIQ) is a comprehensive evaluation standard that considers the pollutant emissions of all components, thereby comprehensively reflecting the quality of the air inside the vehicle. Based on the VAIQ, different air quality grades can be set, such as excellent, good, fair, or poor, providing automakers with guidance for product improvement during the vehicle development phase.

[0035] In this embodiment, after determining the vehicle's air quality level, automakers can more effectively target product design and material selection, prioritizing low-emission, environmentally friendly materials to enhance in-vehicle comfort and safety. This approach helps improve in-vehicle air quality, proactively identify and resolve potential issues, and reduce the cost and time of subsequent rectification.

[0036] In some embodiments, after collecting the pollutant emission indices of all components, the vehicle's air quality index can be calculated using a specific calculation method, such as a weighted average or other statistical method. The calculated vehicle air quality index is then compared with pre-defined air quality standards, such as those based on international or national standards, to determine the vehicle's air quality level. For example, if the vehicle's air quality index is below a certain threshold, it may be rated "excellent"; if it is between two thresholds, it may be rated "good" or "fair"; and if it is above a certain threshold, it may be rated "poor."

[0037] Based on the above technical solution, the present invention provides a method for pre-diagnosing vehicle air quality. This method obtains a vehicle parts list; determines the pollutant emission index of each component in the vehicle parts list based on a preset pollutant database; calculates the vehicle air quality index based on the pollutant emission index of each component; and determines the vehicle air quality grade based on the vehicle air quality index. By obtaining the parts list and utilizing the pollutant database during the vehicle development phase, the present invention can predict and assess in-vehicle air quality in advance, thereby identifying potential air quality issues before mass production. Furthermore, by calculating the vehicle air quality index and determining the grade, it provides automakers with a preventative control tool, enabling timely action during the design and production process, reducing the high cost of remediation due to air quality issues later in the process and improving production efficiency. Furthermore, by accurately calculating the pollutant emission index of each component, key pollution sources can be more accurately identified and controlled, thereby reducing the emission of pollutants in the vehicle at the source and improving the health and comfort of the in-vehicle environment.

[0038] Please refer to Figure 3 ,for Figure 1A flowchart of an actual embodiment of S01 in a method for pre-diagnosing vehicle air quality is provided. In some embodiments, step S01, which involves obtaining a vehicle parts list, may specifically include the following steps: Step S11: Obtain a parts approval list and obtain full spectrum detection data of all parts in the parts approval list.

[0039] In this embodiment, the approved parts list refers to all the parts that are approved for use in the manufacture of complete vehicles and are listed before the production of the complete vehicle, and all of the parts have undergone rigorous screening and evaluation. For each part on the approved parts list, its full spectrum detection data is collected, wherein the full spectrum detection data is a detailed description of the types and quantities of chemical substances that may be released by the parts through professional analytical techniques, such as gas chromatography-mass spectrometry. The full spectrum detection data provides a comprehensive overview of the chemical properties of each part, including volatile organic compounds and other potentially harmful substances that they may contain. For example, the full spectrum detection data may include the mass spectrum library search name, unique chemical identification number, peak time, and semi-quantitative results based on the toluene calibration curve (in μg / m 3 ), the percentage content of each organic matter, etc.

[0040] This embodiment obtains a list of approved parts and full-spectrum test data for all parts. The purpose is to ensure that all parts used in the vehicle manufacturing process will not have a negative impact on the air quality inside the vehicle, thereby preventing and controlling the emission of pollutants. By comprehensively testing the chemical composition of each part, parts that may release harmful volatile organic compounds or other pollutants can be identified.

[0041] Step S12: Check whether there are any parts with excessive pollutants in the parts approval list based on the full spectrum detection data.

[0042] If yes, go to step S13. If no, go to step S14.

[0043] In this embodiment, the pollutant content of each component on the approved list is assessed using detailed chemical composition data obtained through full-spectrum analysis technology. This process involves comparing the component's full-spectrum test data with pre-set safety standards or limits to determine whether the component releases pollutants exceeding the specified threshold. If a component's pollutant content is found to exceed the safety limit, the component is considered to be out of compliance, and step S13 is executed.

[0044] In some embodiments, the full spectrum detection data of component i (i=1, 2, ..., b) can be sorted in descending order according to the percentage of each organic matter, and all pollutants with a concentration greater than E0 can be screened out. ik (k=1, 2, ..., n). The E0 value can be determined by selecting different values based on the pollutant type in the pollutant database: ① The E0 values of benzene, toluene, ethylbenzene, xylene and styrene required in the VOC internal control standards for components shall be the limits of the standards; ② The E0 values of 17 common odor pollutants in vehicle interior air required by the "Passenger Vehicle Interior Odor Pollutant Control Standard" are the limit values of this standard; ③ Common volatile organic compounds in the air inside the vehicle, the E0 value is the limit value of toluene in the VOC internal control standard for components.

[0045] In some embodiments, when the pollutant content of component i exceeds the standard, component i can also be included in the "Component Control List" so that the user can formulate a detailed retest plan based on the components in the "Component Control List" according to the assembly type, quantity and other information, and re-conduct the component VOC test to obtain new full-spectrum detection data.

[0046] When conducting VOC tests, volatile organic compound samples are collected from each component, and then the volatile organic compound samples are analyzed using gas chromatography-mass spectrometry to obtain full spectrum detection data for the components in the components control list.

[0047] Based on this full-spectrum test data, the system continues to determine whether VOCs exceeding the E0 limit are present. If VOCs exceeding the E0 limit are still present, component i is added to the "Parts Emission Critical Control List." This allows the user to make corrections to the components on the "Parts Emission Critical Control List" until no components contain VOCs exceeding the E0 limit.

[0048] Step S13: Delete the parts with excessive pollutants from the approved parts list, and add the safe parts of the same model as the parts with excessive pollutants to the approved parts list.

[0049] Among them, safe parts are parts whose pollutants do not exceed the standard.

[0050] In this embodiment, by removing from the approved list those parts whose pollutant emissions are found to exceed safety standard limits during full-spectrum monitoring, it is ensured that all parts used in vehicle manufacturing will not cause pollution to the vehicle interior environment.

[0051] At the same time, by adding parts of the same model that do not exceed the pollutant emission standards to the approved list, the parts that exceed the standards can be replaced, thereby ensuring the chemical safety of the vehicle's parts, thereby improving the vehicle's environmental performance and market competitiveness.

[0052] This embodiment ensures that all components undergo rigorous quality control before production to meet safety requirements for in-vehicle air quality. This not only helps protect consumer health by preventing health issues caused by excessive in-vehicle pollutants, but also effectively reduces recall and rectification costs associated with in-vehicle air quality issues through this preventative quality control measure, thereby achieving sustainable development.

[0053] Step S14: When there are no parts with excessive pollutants in the approved parts list, the approved parts list is determined as the complete vehicle parts list.

[0054] In this embodiment, all components included in the approved parts list have passed pollutant emission testing and are within safety standards. This process ensures that every component in the vehicle's parts list is safe, environmentally friendly, and does not negatively impact in-vehicle air quality. Through this screening mechanism, automakers can control vehicle pollutant emissions at the source, improving the safety and comfort of the in-vehicle environment.

[0055] Based on the above technical solution, this embodiment eliminates potential pollution sources at the source by ensuring that all components meet safety standards, thereby significantly improving the safety and reliability of the air quality inside the vehicle.

[0056] Please refer to Figure 4 ,for Figure 1 A flowchart of an actual embodiment of step S02 in a method for pre-diagnosing vehicle air quality is provided. In some embodiments, the pollutant emission index may include an odor pollutant index. Based on this, step S02, as mentioned above, determines the pollutant emission index of each component in the vehicle parts list based on a preset pollutant database, which may specifically include the following steps: Step S21 : For each component in the vehicle parts list, obtain the odor threshold parameter of each odor pollutant from the pollutant database.

[0057] In this embodiment, the olfactory threshold parameter refers to the lowest concentration of a specific chemical substance that can be perceived by the human sense of smell. In vehicle air quality management, the olfactory threshold parameter is directly related to the comfort of the vehicle environment and the sensory experience of passengers.

[0058] Step S22, calculating the first threshold dilution factor of each odor pollutant emitted by the component based on the olfactory threshold parameter and the full spectrum detection data of the component.

[0059] In this embodiment, the first threshold dilution factor represents the contribution of an odor pollutant to the actual odor of a component. By comparing the actual concentration of each odor pollutant released by a component with its odor threshold, the first threshold dilution factor for each odor pollutant can be calculated. The first threshold dilution factor indicates the degree to which the pollutant concentration exceeds the odor threshold, that is, the number of times the pollutant needs to be diluted to a level that is undetectable to humans.

[0060] In some embodiments, the first threshold dilution factor of the odor pollutant emitted by component i can be calculated by formula (1): (Formula 1) Among them, Q ij is the threshold dilution factor of odor pollutant j (j = 1, 2, ..., c) emitted by component i, which represents the contribution of odor pollutant j to the actual odor performance of component i, and the unit is dimensionless; E ij is the content of odor pollutant j emitted by component i, in μg / m 3 .X ij The olfactory threshold of the odor pollutant j is the concentration of the substance that causes the minimum stimulation to the human sense of smell, and the unit is μg / m 3 .

[0061] Step S23, calculating the odor pollutant index of the component according to the first threshold dilution factor of all odor pollutants emitted by the component.

[0062] In this embodiment, the odor pollutant index is calculated using the first-threshold dilution factor of all odor pollutants emitted by a component, reflecting the overall odor pollution level of the component. By calculating the odor pollutant index for each component, a more accurate assessment of vehicle interior odor pollution can be achieved, facilitating more effective material selection and process improvements during the design and production stages to reduce unpleasant odors.

[0063] In some embodiments, the odor pollutant index emitted by component i can be calculated using formula (2): (Formula 2) Among them, O i is the odor pollutant index of component i, which is the sum of the first threshold dilution factors of all odor pollutants j. The unit is dimensionless and is used to characterize the actual odor situation of component i.

[0064] Based on the above embodiment, in some embodiments, the vehicle air quality index may specifically include a vehicle odor index. On this basis, the vehicle air quality index is calculated based on the pollutant emission index of each component mentioned in step S03, which may specifically be: The odor index of the entire vehicle is calculated based on the odor pollutant index of each component.

[0065] In some embodiments, the vehicle odor index can be calculated using formula (3): (Formula 3) Among them, ZO i The vehicle odor index is the sum of the odor pollutant indices of all vehicle components. The unit is dimensionless and represents the actual odor situation of the vehicle project.

[0066] The odor pollutant index in this embodiment reflects the intensity of odor pollutants that each component may release under normal operating conditions. Based on this, the vehicle odor index is calculated by summing up the odor pollutant index of each component. This indicator reflects the total odor pollutants that all components in the vehicle may release under normal operating conditions. This indicator can be used to assess the sensory performance of in-vehicle air quality, that is, the intensity of odors that passengers may perceive in the vehicle.

[0067] Based on the above embodiment, in some embodiments, the following steps may also be performed: Step S31 , calculating the odor pollutant contribution corresponding to each component according to the odor pollutant index of each component.

[0068] In this example, the odor pollutant contribution refers to the ratio of each component's odor pollutant index to the vehicle's overall odor index, reflecting the component's relative contribution to the overall vehicle's odor quality. By calculating the contribution, automakers can identify which components have the greatest impact on the vehicle's interior odor environment, allowing them to prioritize and optimize these components during design and production.

[0069] In some embodiments, the odor pollutant contribution of each component can be calculated according to formula (4): (Formula 4) Among them, ZO i is the vehicle odor index, O i is the odor pollutant index of component i, GO i is the contribution of odor pollutants of component i, and the unit is dimensionless.

[0070] In step S32, each component is sorted in descending order according to the contribution of odor pollutants, and the components ranked in the top p positions are monitored in a focused manner.

[0071] Where p is a preset value.

[0072] In this embodiment, all components are ranked based on the calculated odor pollutant contributions to determine which components have the greatest impact on the vehicle's interior odor environment. The top p components, those with the highest contributions, are selected for key monitoring. Here, p is a preset value that can be set based on the automaker's quality control standards or specific project requirements.

[0073] In this way, automakers can focus resources and attention on the components that have the greatest impact on in-vehicle air quality, thereby more effectively managing and controlling odor pollution sources. This not only helps improve the comfort and safety of the in-vehicle environment, but also helps automakers make more reasonable material selections and process improvements during the design and production stages to reduce the generation of unpleasant odors.

[0074] Step S33: sort each odor pollutant in descending order according to the first threshold dilution multiple.

[0075] In this embodiment, the first threshold dilution factor refers to the factor required to dilute the concentration of a particular odor pollutant to the point where it is imperceptible to the human sense of smell. A higher dilution factor indicates that the pollutant is perceptible at a lower concentration, and therefore has a more significant impact on in-vehicle air quality. This ranking allows automakers to quickly identify odor pollutants that significantly impact the sensory experience of in-vehicle air quality.

[0076] Step S34, determining the top q odor pollutants as the main odor pollutants of the vehicle project; Where q is a preset value.

[0077] In this embodiment, the preset value q represents the number of odor pollutants requiring particular attention and treatment. By selecting the top q odor pollutants as primary odor pollutants, automakers can focus resources and efforts on implementing control measures for these pollutants with the greatest impact. These measures may include selecting low-emission materials, improving production processes, increasing ventilation system efficiency, or implementing odor neutralization technologies.

[0078] Please refer to Figure 5 ,for Figure 1 A flowchart of another practical embodiment of step S02 in a method for pre-diagnosing vehicle air quality is provided. In some embodiments, the pollutant emission index may include an organic pollutant index. Based on this, step S02, as mentioned above, determines the pollutant emission index of each component in the vehicle parts list based on a preset pollutant database, which may specifically include the following steps: Step S41 : For each component in the vehicle parts list, obtain the organic threshold parameter of the component from the pollutant database.

[0079] In this example, the organic threshold parameter is the minimum value of the pollutant that requires enterprise control, and the unit is μg / m 3 .

[0080] Step S42: Calculate the second threshold dilution factor of each organic pollutant emitted by the component based on the organic threshold parameter of the component and the full spectrum detection data.

[0081] In this embodiment, the second threshold dilution factor represents the contribution of the organic pollutant to the actual organic pollution of the component. The second threshold dilution factor for each organic pollutant can be calculated by comparing the actual content of each organic pollutant released by the component with the organic threshold value.

[0082] In some embodiments, the second threshold dilution factor of the organic pollutants emitted by component i can be calculated using formula (5): (Formula 5) Among them, W ij E is the second threshold dilution factor of the organic pollutant h (h = 1, 2, ..., d) emitted by component i, which represents the contribution value of the actual organic performance of the organic pollutant h in component i, and the unit is dimensionless; ih is the content of organic pollutants h emitted by component i, in μg / m 3 .Y ih is the organic threshold value of the organic pollutant h.

[0083] Step S43 , calculating the organic pollutant index of the component according to the second threshold dilution factor of all organic pollutants emitted by the component.

[0084] In this embodiment, the organic pollutant index is calculated using the second-threshold dilution factor of all organic pollutants released by a component, reflecting the overall organic pollution level of the component. By calculating the organic pollutant index for each component, a more accurate assessment of organic pollution within the vehicle can be achieved, facilitating more rational material selection and process improvements during the design and production stages to reduce the generation of undesirable organic pollutants.

[0085] In some embodiments, the organic pollutant index emitted by component i can be calculated using formula (6): (Formula 6) Among them, V i is the organic pollutant index of component i, which is the sum of the second threshold dilution factors of all organic pollutants h. The unit is dimensionless and is used to characterize the actual organic situation of component i.

[0086] Based on the above embodiment, in some embodiments, the vehicle air quality index may specifically include the vehicle organic pollutant index. On this basis, the vehicle air quality index is calculated based on the pollutant emission index of each component mentioned in step S03, which may specifically be: The organic pollutant index of the entire vehicle is calculated based on the organic pollutant index of each component.

[0087] In some embodiments, the vehicle organic pollutant index can be calculated using formula (7): (Formula 7) Among them, ZV i The organic pollutant index of the whole vehicle is the sum of the organic pollutant indices of all parts of the whole vehicle. The unit is dimensionless and represents the actual organic situation of the whole vehicle project.

[0088] The organic pollutant index in this example reflects the intensity of organic pollutants that each component may release under normal operating conditions. Based on this, the vehicle organic pollutant index is calculated by summing up the organic pollutant index of each component. This indicator reflects the total organic pollutants that may be released by all components within the vehicle under normal operating conditions, and can be used to assess the sensory perception of in-vehicle air quality.

[0089] Based on the above embodiment, in some embodiments, the following steps may also be performed: Step S51 : calculating the organic pollutant contribution of each component according to the organic pollutant index of each component.

[0090] In this example, the organic pollutant contribution refers to the ratio of each component's organic pollutant index to the vehicle's overall organic pollutant index, reflecting the component's relative contribution to the vehicle's overall organic pollution. By calculating the contribution, automakers can identify which components have the greatest impact on the vehicle's overall organic pollution, allowing them to prioritize and optimize these components during design and production.

[0091] In some embodiments, the organic pollutant contribution of each component can be calculated according to formula (8): (Formula 8) Among them, ZV i is the vehicle organic pollutant index, V i is the organic pollutant index of component i, GV i is the contribution of organic pollutants to component i, and its unit is dimensionless.

[0092] Step S52: sort each component in descending order of contribution of organic pollutants, and focus on monitoring the top n components.

[0093] Where n is a preset value.

[0094] In this embodiment, all components are ranked based on their calculated organic pollutant contributions to determine which components have the greatest impact on the vehicle's organic pollution. The top n components, those with the highest contributions, are selected as key monitoring targets. Here, n is a preset value that can be set based on the automaker's quality control standards or specific project requirements.

[0095] Step S53: sorting each organic pollutant in descending order according to the second threshold dilution factor.

[0096] Step S54: determining the top m organic pollutants as the main organic pollutants of the whole vehicle project.

[0097] Wherein, m is a preset value.

[0098] In this embodiment, the preset value m represents the number of organic pollutants that require special attention and treatment. By selecting the top m organic pollutants as the main organic pollutants, automobile manufacturers can focus resources and efforts on taking control measures for these organic pollutants with the greatest impact.

[0099] Based on the above embodiment, in some embodiments, the step S03 mentioned in which the vehicle air quality level is determined according to the vehicle air quality index may specifically include the following steps: Step S61: Obtain historical vehicle air indexes of multiple historical vehicles from a preset pollutant source tracing library.

[0100] In this embodiment, the pollutant traceability library collects and stores vehicle air index data for multiple historical vehicle models, which records the air quality status of each vehicle in detail. By obtaining the historical vehicle air index of multiple historical vehicles from the preset pollutant traceability library, it is possible to understand the pollutant emission behavior of different vehicle models in actual use and the changing trend of in-vehicle air quality. The historical vehicle air index provides a valuable reference and comparison benchmark for the in-vehicle air quality assessment of new models, helps to identify common pollution sources, evaluate the effectiveness of new model design improvement measures, and predict the air quality performance of new models. This method takes advantage of the accumulation of historical data and enhances the understanding and control of the changing laws of in-vehicle air quality.

[0101] Please refer to Figure 6 , is an example diagram of a pollutant traceability library provided by an embodiment of the present invention. Figure 6As shown, the pollutant traceability database records the air quality conditions of historical vehicle models in detail.

[0102] Step S62 , generating a fitting curve based on the historical vehicle air index, and calculating the vehicle air quality level corresponding to the vehicle air quality index based on the fitting curve.

[0103] In this embodiment, a fitting curve is generated based on historical vehicle air quality indices using statistical or mathematical modeling methods. This fitting curve reveals the relationship between the vehicle air quality index and the air quality rating. The air quality rating of a new vehicle model can then be calculated by comparing the vehicle air quality index of the new vehicle model with this fitting curve. This process provides a scientific and objective method to evaluate and predict the in-vehicle air quality of new vehicle models, helping to make more informed decisions during the design and production stages to optimize the in-vehicle environment and meet health and safety standards.

[0104] In some embodiments, the upper limit ZO of the vehicle odor index can be determined based on the historical vehicle model information in the pollution traceability database, combined with national standards and enterprise internal control standards. ul , the center line ZO of the vehicle odor index ml And the lower limit of the vehicle odor index ZO dl Then according to ZO ul , ZO ml , ZO dl The odor level of the entire vehicle is calculated using the fitted curve.

[0105] In some embodiments, the upper limit ZV of the vehicle organic pollutant index can be determined based on the historical vehicle model information in the pollution traceability database, combined with national standards and enterprise internal control standards. ul , the center line ZV of the vehicle organic pollutant index ml And the lower limit of the vehicle organic pollutant index ZV dl Then according to ZV ul 、ZV ml 、ZV dl The organic pollutant level of the entire vehicle is calculated using the fitted curve.

[0106] Please refer to Figure 7 , is a structural diagram of a vehicle air quality pre-diagnosis system provided by an embodiment of the present invention. Figure 7 As shown, the vehicle air quality pre-diagnosis system may include: The acquisition module 100 is used to obtain a list of vehicle parts; The pollutant index determination module 200 is used to determine the pollutant emission index of each component in the vehicle component list based on a preset pollutant database; The calculation module 300 is used to calculate the vehicle air quality index based on the pollutant emission index of each component, and determine the vehicle air quality level based on the vehicle air quality index.

[0107] Based on the above embodiment, in some embodiments, the acquisition module 100 may also be used to: Obtain the approved parts list and obtain full spectrum test data for all parts in the approved parts list; Check whether there are any parts in the approved parts list that have excessive pollutants based on the full spectrum test data; If so, the parts with excessive pollutants will be deleted from the approved parts list, and safe parts of the same model as the parts with excessive pollutants will be added to the approved parts list; safe parts are parts with no excessive pollutants. When there are no parts with excessive pollutants in the approved parts list, the approved parts list will be determined as the complete vehicle parts list.

[0108] Based on the above embodiment, in some embodiments, the pollutant emission index includes an odor pollutant index; The pollutant index determination module 200 can be specifically used to: For each component in the vehicle parts list, obtain the odor threshold parameter of each odor pollutant from the pollutant database; Calculate the first threshold dilution factor of each odor pollutant emitted by the component based on the olfactory threshold parameter and the full spectrum detection data of the component; The odor pollutant index of the component is calculated based on the first threshold dilution factor of all odor pollutants emitted by the component.

[0109] Based on the above embodiment, in some embodiments, the pollutant emission index includes an organic pollutant index; The pollutant index determination module 200 can be specifically used to: For each component in the vehicle parts list, obtain the organic threshold parameter of the component from the pollutant database; Calculate the second threshold dilution factor of each organic pollutant emitted by the component based on the organic threshold parameters of the component and the full spectrum detection data; The organic pollutant index of the component is calculated based on the second threshold dilution factor of all organic pollutants emitted by the component.

[0110] Based on the above embodiment, in some embodiments, the pollutant index determination module 200 may also be used to: Calculate the organic pollutant contribution of each component based on its organic pollutant index; Rank each component in descending order of contribution of organic pollutants, and focus on monitoring the top n components; Where n is a preset value.

[0111] Based on the above embodiment, in some embodiments, the pollutant index determination module 200 may also be used to: Sort each organic pollutant in descending order according to the second threshold dilution factor; The top m organic pollutants are determined as the main organic pollutants of the whole vehicle project; Wherein, m is a preset value.

[0112] Based on the above embodiments, in some embodiments, the calculation module 300 may be specifically used for: Obtain historical vehicle air indexes of multiple historical vehicles from a preset pollutant source database; Generate a fitting curve based on the historical vehicle air index, and calculate the vehicle air quality level corresponding to the vehicle air quality index based on the fitting curve.

[0113] This embodiment provides an electronic device including a processor and a memory, the memory being used to store at least one instruction. When the instruction is loaded and executed by the processor, the above-mentioned method for pre-diagnosis of vehicle air quality is implemented. The execution method and beneficial effects are similar and will not be repeated here.

[0114] An embodiment of the present invention provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned method for pre-diagnosis of vehicle air quality is implemented. Its execution method and beneficial effects are similar and will not be repeated here.

[0115] It should be noted that although the above describes the various steps in a specific order, it does not mean that the steps must be performed in the above specific order. In fact, some of these steps can be executed concurrently or even in a different order as long as the required functions can be achieved.

[0116] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for pre-diagnosis of vehicle air quality, characterized in that: include: Get the vehicle parts list; Determining a pollutant emission index for each component in the vehicle components list based on a preset pollutant database; The vehicle air quality index is calculated based on the pollutant emission index of each component, and the vehicle air quality grade is determined based on the vehicle air quality index.

2. The method according to claim 1, characterized in that The obtaining of the vehicle parts list includes: Obtaining a parts approval list and obtaining full spectrum test data for all parts in the parts approval list; Detecting whether there are any parts in the approved parts list that have excessive pollutants based on the full spectrum test data; If so, the parts with excessive pollutants will be deleted from the approved parts list, and safe parts of the same model as the parts with excessive pollutants will be added to the approved parts list; the safe parts are parts with no excessive pollutants. When there are no parts with excessive pollutants in the approved parts list, the approved parts list will be determined as the complete vehicle parts list.

3. The method according to claim 2, characterized in that The pollutant emission index includes an odor pollutant index; Determining the pollutant emission index of each component in the vehicle parts list based on a preset pollutant database includes: For each component in the vehicle parts list, obtaining an odor threshold parameter of each odor pollutant from the pollutant database; Calculating a first threshold dilution factor of each odor pollutant emitted by the component based on the olfactory threshold parameter and the full spectrum detection data of the component; The odor pollutant index of the component is calculated based on the first threshold dilution factor of all odor pollutants emitted by the component.

4. The method according to claim 2, characterized in that The pollutant emission index includes an organic pollutant index; Determining the pollutant emission index of each component in the vehicle parts list based on a preset pollutant database includes: For each component in the vehicle parts list, obtaining an organic threshold parameter of the component from the pollutant database; Calculating the second threshold dilution factor of each organic pollutant emitted by the component based on the organic threshold parameter of the component and the full spectrum detection data; The organic pollutant index of the component is calculated based on the second threshold dilution factor of all organic pollutants emitted by the component.

5. The method according to claim 4, characterized in that The method further comprises: Calculate the organic pollutant contribution of each component according to the organic pollutant index of each component; Rank each component in descending order of contribution of the organic pollutants, and focus on monitoring the top n components; Where n is a preset value.

6. The method according to claim 4, characterized in that The method further comprises: sorting each of the organic pollutants in descending order according to the second threshold dilution multiple; The top m organic pollutants are determined as the main organic pollutants of the whole vehicle project; Wherein, m is a preset value.

7. The method according to claim 1, characterized in that Determining the vehicle air quality level according to the vehicle air quality index includes: Obtain historical vehicle air indexes of multiple historical vehicles from a preset pollutant source database; A fitting curve is generated according to the historical vehicle air quality index, and a vehicle air quality level corresponding to the vehicle air quality index is calculated according to the fitting curve.

8. A vehicle air quality pre-diagnosis system, characterized by: include: Acquisition module, used to obtain the vehicle parts list; a pollutant index determination module, configured to determine the pollutant emission index of each component in the vehicle parts list based on a preset pollutant database; The calculation module is used to calculate the air quality index of the entire vehicle according to the pollutant emission index of each of the components, and determine the air quality level of the entire vehicle according to the air quality index of the entire vehicle.

9. An electronic device, characterized in that: include: A processor and a memory, wherein the memory is used to store at least one instruction, and when the instruction is loaded and executed by the processor, it implements the method for pre-diagnosis of vehicle air quality as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for pre-diagnosis of vehicle air quality as described in any one of claims 1 to 7 is implemented.

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