CN115792135B - Method, system and medium for testing air quality in vehicle - Google Patents
Method, system and medium for testing air quality in vehicle Download PDFInfo
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Abstract
The invention discloses a method, a system and a medium for testing air quality in a vehicle, which belong to the technical field of vehicle detection, and are characterized in that modularized detection and data statistics are implemented by setting different detection points, and local detection analysis and evaluation can be realized by dividing a plurality of detection points, so that the accuracy of the detection and analysis of the air quality in the vehicle can be effectively improved; the data change conditions detected by each detection point can be intuitively obtained through constructing the curve, and meanwhile, the difference between the data change conditions and the standard curve can be intuitively obtained, so that reliable data support can be provided for subsequent abnormal influence analysis; the invention is used for solving the technical problem that the overall effect of the air quality test in the vehicle is poor in the existing scheme.
Description
Technical Field
The invention relates to the technical field of vehicle detection, in particular to a method, a system and a medium for testing air quality in a vehicle.
Background
Automobile smell is a long-term puzzled problem in the automobile industry, and is mainly characterized by difficult smell tracing and treatment, and the individual difference of smell is very large, so that the final evaluation results are quite different.
When the existing vehicle air quality testing scheme is implemented, sensory evaluation is carried out on the odor in the vehicle according to evaluation standards by a sniffer entering different positions in the vehicle, and also different types of gas detection is implemented on different positions in the vehicle by detection equipment, and different gas detection results are integrated and output to evaluate the air quality in the vehicle; however, different detection points are not set to implement modularized detection and data statistics, and the detection statistics data are not visually displayed, data mining is implemented to obtain existing anomalies, and the anomalies obtained by the detection of the different detection points are integrated to integrally evaluate the air quality in the vehicle, so that the overall effect of the air quality test in the vehicle is poor.
Disclosure of Invention
The invention aims to provide a method, a system and a medium for testing air quality in a vehicle, which are used for solving the technical problem that the overall effect of the air quality test in the vehicle in the existing scheme is poor.
The aim of the invention can be achieved by the following technical scheme:
a method for testing air quality in a vehicle, comprising:
under different preset temperature conditions, carrying out data detection and statistics on different preset detection positions to obtain a data statistics set containing a plurality of detection data;
preprocessing a plurality of detection data in the data statistics set to obtain a corresponding detection curve, and carrying out influence analysis on a detection area under the corresponding detection condition according to the detection curve to obtain a data analysis set containing a plurality of analysis data;
and integrating a plurality of analysis data in the data analysis set to integrally evaluate the air quality in the vehicle, and outputting and prompting the evaluation result.
Preferably, the step of performing data detection and statistics comprises:
respectively acquiring a first detection point, a second detection point, a third detection point, a fourth detection point and a fifth detection point according to the positions of a main driver seat, a co-driver seat, a rear left seat, a rear middle seat and a rear right seat in the vehicle, numbering and marking;
under the preset different detection temperature conditions, sequentially detecting the concentration of the target object at a plurality of numbered detection points, and arranging and combining the concentration data of the target object obtained by the detection at the plurality of detection points according to the time sequence to obtain detection data; the detection data corresponding to the detection points form a data statistics set.
Preferably, the step of acquiring the data analysis set comprises:
when a detection curve is built for a plurality of detection points in sequence, respectively setting the detection time as an abscissa and the concentration of the target object as an ordinate to build the detection curve, and sequencing according to the numbers of the corresponding detection points;
when the influence analysis is implemented, the obtained detection curve is matched with the corresponding standard curve to judge whether the concentration of the target object corresponding to the detection curve is normal or not.
Preferably, if the detection curve is completely within the standard curve range, judging that the detection result of the target object corresponding to the detection point under the detection condition is normal and associating a normal label;
if the detection curve is not completely in the standard curve range, judging that the detection result of the target object corresponding to the detection point is abnormal under the detection condition and associating an abnormal label;
the normal labels and the abnormal labels under different detection conditions form analysis data, and the analysis data corresponding to the detection points form a data analysis set.
Preferably, the step of performing an integrated assessment of the air quality in the vehicle comprises:
acquiring a plurality of analysis data in a data analysis set, traversing, and carrying out tracing evaluation on the abnormality of the concentration of the target object according to the abnormality label acquired by traversing;
acquiring the area of the corresponding selected curve outside the standard curve range according to the abnormal label and marking the area as QM; counting the total number of the abnormal labels corresponding to the detection points under different detection conditions and marking the total number as YZ; acquiring the type of the target object and the corresponding type weight and marking the type of the target object as LQ;
and extracting the numerical value of each item of marked data, vertically integrating in parallel to obtain a detection-shaped estimated value corresponding to the target object when detecting the air quality in the vehicle, and obtaining the influence of the target object on the air quality in the vehicle according to the detection-shaped estimated value.
Preferably, the detected state estimation value is obtained through calculation, and the corresponding calculation formula is as follows:
wherein QM0 is a preset standard abnormal area; alpha is a preset abnormal compensation factor;
when the influence of the detected state estimation on the target object is analyzed and evaluated, a corresponding detected state estimation threshold value is obtained according to the type of the target object, and the detected state estimation value and the detected state estimation threshold value are subjected to matching analysis to obtain an evaluation result.
Preferably, when the detected state estimation value and the detected state estimation threshold value are subjected to matching analysis, if the detected state estimation value is smaller than P of the detected state estimation threshold value, a first monitoring signal is generated; p is a positive integer less than one hundred; if the detected state estimation value is not less than P% of the detected state estimation threshold value and is less than the detected state estimation threshold value, generating a second monitoring signal; if the detection state estimation value is not smaller than the detection state estimation threshold value and smaller than Q of the detection state estimation threshold value, generating a third monitoring signal; q is a positive integer greater than one hundred; if the detection state estimation value is not smaller than the Q value of the detection state estimation threshold value, generating a fourth monitoring estimation signal;
the first, second, third and fourth monitoring signals constitute an evaluation result.
Preferably, the influence of the corresponding target object on the air quality in the vehicle is adaptively output according to different monitoring signals in the evaluation result.
In order to solve the above problems, the present invention also provides a test system for air quality in a vehicle, comprising:
and a data statistics module: under different preset temperature conditions, carrying out data detection and statistics on different preset detection positions to obtain a data statistics set containing a plurality of detection data;
and a data analysis module: preprocessing a plurality of detection data in the data statistics set to obtain a corresponding detection curve, and carrying out influence analysis on a detection area under the corresponding detection condition according to the detection curve to obtain a data analysis set containing a plurality of analysis data;
and (3) integrating an evaluation module: and integrating a plurality of analysis data in the data analysis set to integrally evaluate the air quality in the vehicle, and outputting and prompting the evaluation result.
In order to solve the above problems, the present invention also provides a storage medium including at least one processor; and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform a method for testing air quality in a vehicle as described above.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, modularized detection and data statistics are implemented by setting different detection points, and local detection analysis and evaluation can be realized by dividing a plurality of detection points, so that the accuracy of in-vehicle air quality detection analysis can be effectively improved; the data change conditions detected by each detection point can be intuitively obtained through constructing the curve, and meanwhile, the difference between the data change conditions and the standard curve can be intuitively obtained, so that reliable data support can be provided for subsequent abnormal influence analysis; the abnormal conditions of a plurality of local detection points under different detection conditions are combined, then the abnormal conditions of all the detection points are combined to analyze and evaluate the overall influence of the target object, the influence of the target object on the air quality in the vehicle is obtained according to the evaluation result, and the overall evaluation is implemented through the analysis and integration of a plurality of local detection points, so that the overall effect of the air quality test in the vehicle can be effectively improved.
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The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a flow chart of a method for testing air quality in a vehicle according to the present invention.
FIG. 2 is a block diagram of a testing system for air quality in a vehicle according to the present invention.
Fig. 3 is a schematic structural diagram of a computer device implementing an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The existing vehicle interior air quality test scheme comprises the steps of carrying out sensory evaluation on odor in a vehicle according to evaluation standards by a sniffer entering different positions in the vehicle, carrying out different types of gas detection on different positions in the vehicle by detection equipment, integrating different gas detection results and outputting the different gas detection results to evaluate the air quality in the vehicle;
different from the statistics and data comparison analysis of detection data of different positions in a vehicle in the existing scheme, the embodiment of the invention can effectively improve the overall effect of the test analysis of the air quality in the vehicle by constructing detection points for different areas in the vehicle, detecting target objects and analyzing data under different detection conditions by different detection points, and integrating analysis results of different detection points under different detection conditions.
Example 1
Referring to fig. 1, the present invention is a method for testing air quality in a vehicle, comprising the following specific steps:
under different preset temperature conditions, the temperature conditions can be set based on detection temperatures contained in the existing detection scheme, at least three groups of different temperature conditions correspond to low temperature, normal temperature and high temperature respectively, and data detection and statistics are carried out on different preset detection positions to obtain a data statistics set containing a plurality of detection data; the method comprises the following specific steps of:
acquiring a main driver seat, a co-driver seat, a rear left seat, a rear middle seat and a rear right seat in a vehicle;
sequentially acquiring midpoints of longitudinal distances between a main driver seat, a co-driver seat, a rear left seat, a rear middle seat and a rear right seat and the inner surface of a vehicle roof, sequentially setting a plurality of midpoints as a first detection point, a second detection point, a third detection point, a fourth detection point and a fifth detection point, numbering and marking;
under the preset different detection temperature conditions, respectively implementing target object concentration detection on the first detection point, the second detection point, the third detection point, the fourth detection point and the fifth detection point, and arranging and combining target object concentration data obtained by detecting the first detection point, the second detection point, the third detection point, the fourth detection point and the fifth detection point according to a time sequence to obtain detection data;
the detection data corresponding to a plurality of detection points form a data statistics set;
in the embodiment of the invention, the modularized detection and data statistics are implemented by setting different detection points, and the local detection analysis and evaluation can be realized by dividing a plurality of detection points, so that the accuracy of the detection and analysis of the air quality in the vehicle can be effectively improved, and reliable data support can be provided for the overall evaluation of the air quality in the following vehicle;
preprocessing a plurality of detection data in the data statistics set to obtain a corresponding detection curve, and carrying out influence analysis on a detection area under the corresponding detection condition according to the detection curve to obtain a data analysis set containing a plurality of analysis data; the method comprises the following specific steps of:
when a detection curve is built for a plurality of detection points in sequence, respectively setting the detection time as an abscissa and the concentration of the target object as an ordinate to build the detection curve, and sequencing according to the numbers of the corresponding detection points;
the detection time period is a preset fixed time length, the unit is minutes, and the detection time period can be acquired based on the existing detection scheme or customized by experience; targets include, but are not limited to, benzene and formaldehyde;
when the influence analysis is implemented, the acquired detection curve is matched with the corresponding standard curve, and when judging whether the concentration of the target object corresponding to the detection curve is normal or not, if the detection curve is completely in the range of the standard curve, judging that the detection result of the target object corresponding to the detection point is normal under the detection condition and correlating with a normal label;
the standard curve is obtained through laboratory simulation or fitting according to actual experience; the standard curve range is an area enclosed between the standard curve and the abscissa;
if the detection curve is not completely in the standard curve range, judging that the detection result of the target object corresponding to the detection point is abnormal under the detection condition, associating an abnormal label, and marking the corresponding detection curve as a selected curve according to the abnormal label;
the fact that the detection curve is not completely within the standard curve range means that at least one intersection point exists between the detection curve and the standard curve;
a plurality of normal labels and abnormal labels under different detection conditions form analysis data, and analysis data corresponding to a plurality of detection points form a data analysis set;
in the embodiment of the invention, the data change condition detected by each detection point can be intuitively obtained by constructing the curve, and meanwhile, the difference between the data change condition and the standard curve can be intuitively obtained, so that reliable data support can be provided for subsequent abnormal influence analysis;
integrating a plurality of analysis data in the data analysis set to carry out integrated evaluation on the air quality in the vehicle, and outputting and prompting the evaluation result; the method comprises the following specific steps of:
acquiring a plurality of analysis data in a data analysis set, traversing, and carrying out tracing evaluation on the abnormality of the concentration of the target object according to the abnormality label acquired by traversing;
acquiring the area of the corresponding selected curve outside the standard curve range according to the abnormal label and marking the area as QM; counting the total number of the abnormal labels corresponding to the detection points under different detection conditions and marking the total number as YZ;
the method comprises the steps of obtaining the types of objects, setting different types of objects to correspond to different type weights, matching the obtained types of objects with all types of objects prestored in a database to obtain corresponding type weights, and marking the corresponding type weights as LQ; the type weights corresponding to different target object types can be customized in advance;
the method comprises the steps of extracting numerical values of all marked data, vertically integrating the numerical values in parallel to obtain a detection-shaped estimated value corresponding to a target object when detecting the air quality in a vehicle, and obtaining the influence of the target object on the air quality in the vehicle according to the detection-shaped estimated value;
the detection-shaped estimated value is obtained through calculation, and the corresponding calculation formula is as follows:
wherein QM0 is a preset standard abnormal area and can be obtained based on the existing big data of vehicle air quality test; alpha is a preset abnormal compensation factor, and can take a value of 1.2047;
the detection-like estimated value is a value for integrating various data of the object detected and acquired at different detection positions in the vehicle to integrally estimate the influence thereof; the smaller the detected state estimate, the smaller the influence of the target object on the air quality in the vehicle;
when analyzing and evaluating the influence of the detected state estimation on the target object, acquiring a corresponding detected state estimation threshold according to the type of the target object, and carrying out matching analysis on the detected state estimation and the detected state estimation threshold;
if the detection state estimation value is smaller than the P value of the detection state estimation threshold value, judging that the target object does not influence the air quality in the vehicle and generating a first monitoring signal; p is a positive integer less than one hundred;
if the detection state estimation value is not less than P% of the detection state estimation threshold value and is less than the detection state estimation threshold value, judging that the target object slightly affects the air quality in the vehicle and generating a second monitoring estimation signal;
if the detection state estimation value is not smaller than the detection state estimation threshold value and smaller than Q of the detection state estimation threshold value, judging that the target object has a moderate influence on the air quality in the vehicle and generating a third monitoring estimation signal; q is a positive integer greater than one hundred;
if the detection state estimation value is not smaller than the Q value of the detection state estimation threshold value, judging that the target object has serious influence on the air quality in the vehicle and generating a fourth monitoring signal;
the first, second, third and fourth monitoring signals form an evaluation result;
according to different monitoring signals in the evaluation result, the influence of the corresponding target object on the air quality in the vehicle is adaptively output; comprising the following steps:
and respectively outputting corresponding prompts of normal air quality in the vehicle, slight abnormality of air quality in the vehicle, moderate abnormality of air quality in the vehicle and severe abnormality of air quality in the vehicle according to the first monitoring signal, the second monitoring signal, the third monitoring signal and the fourth monitoring signal in the evaluation result.
According to the embodiment of the invention, the abnormal conditions of a plurality of local detection points under different detection conditions are combined, so that the accuracy of monitoring and analyzing different areas in the vehicle can be effectively improved, then the abnormal combined conditions of the detection points are combined to analyze and evaluate the overall influence of the target object, the influence of the target object on the air quality in the vehicle is obtained according to the evaluation result, and the overall evaluation is implemented through a plurality of local analysis and integration, so that the overall effect of the air quality test in the vehicle can be effectively improved;
in addition, the formulas related in the above are all formulas with dimensions removed and numerical values calculated, and are a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and the proportionality coefficient in the formulas and each preset threshold value in the analysis process are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data; the size of the scaling factor is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the scaling factor depends on the number of sample data and the corresponding processing coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
Example 2
As shown in fig. 2, there is a test system for air quality in a vehicle, comprising:
and a data statistics module: under different preset temperature conditions, carrying out data detection and statistics on different preset detection positions to obtain a data statistics set containing a plurality of detection data;
and a data analysis module: preprocessing a plurality of detection data in the data statistics set to obtain a corresponding detection curve, and carrying out influence analysis on a detection area under the corresponding detection condition according to the detection curve to obtain a data analysis set containing a plurality of analysis data;
and (3) integrating an evaluation module: and integrating a plurality of analysis data in the data analysis set to integrally evaluate the air quality in the vehicle, and outputting and prompting the evaluation result.
Example 3
Fig. 3 is a schematic structural diagram of a computer device for implementing a method for testing air quality in a vehicle according to an embodiment of the present invention.
The computer device may include a processor, memory and a bus, and may also include a computer program stored in the memory and executable on the processor, such as a test program for air quality in a vehicle.
The memory includes at least one type of readable storage medium, including flash memory, a removable hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory may in some embodiments be an internal storage unit of a computer device, such as a removable hard disk of the computer device. The memory may also be an external storage device of the computer device in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. that are provided on the computer device. Further, the memory may also include both internal storage units and external storage devices of the computer device. The memory may be used not only for storing application software installed in the computer device and various types of data, such as a code for a test program for air quality in a vehicle, etc., but also for temporarily storing data that has been output or is to be output.
The processor may in some embodiments be comprised of integrated circuits, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functionality, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, a combination of various control chips, and the like. The processor is a Control Unit (Control Unit) of the computer apparatus, connects the respective components of the entire computer apparatus using various interfaces and lines, executes or executes programs or modules stored in a memory (for example, a test program for air quality in a vehicle, etc.), and invokes data stored in the memory to perform various functions of the computer apparatus and process the data.
The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between said memory and at least one processor or the like.
Fig. 3 shows only a computer device with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 is not limiting of the computer device and may include fewer or more components than shown, or may combine some of the components, or a different arrangement of components.
For example, although not shown, the computer device may further include a power source (such as a battery) for powering the various components, preferably the power source may be logically connected to the at least one processor by a power management device, such that charge management, discharge management, and power consumption management functions are performed by the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The computer device may also include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described in detail herein.
Further, the computer device may also include a network interface, which may optionally include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the computer device and other computer devices.
The computer device may optionally further comprise a user interface, which may be a Display, an input unit such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the computer device and for displaying a visual user interface.
It should be understood that the above-described embodiments are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
One test program stored in memory in a computer device for in-vehicle air quality is a combination of instructions.
In particular, the specific implementation method of the above instruction by the processor may refer to descriptions of related steps in the corresponding embodiments of fig. 1 to 2, which are not repeated herein.
Further, the modules/units integrated with the computer device may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as stand alone products. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of a computer device, causes a computer to perform the method of the invention.
In the several embodiments provided in the present invention, it should be understood that the disclosed method may be implemented in other manners. For example, the above-described embodiments of the invention are merely illustrative, and for example, the division of modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (5)
1. A method for testing air quality in a vehicle, comprising:
under different preset temperature conditions, carrying out data detection and statistics on different preset detection positions to obtain a data statistics set containing a plurality of detection data, wherein the data statistics set comprises:
respectively acquiring a first detection point, a second detection point, a third detection point, a fourth detection point and a fifth detection point according to the positions of a main driver seat, a co-driver seat, a rear left seat, a rear middle seat and a rear right seat in the vehicle, numbering and marking;
under the preset different detection temperature conditions, sequentially detecting the concentration of the target object at a plurality of numbered detection points, and arranging and combining the concentration data of the target object obtained by the detection at the plurality of detection points according to the time sequence to obtain detection data; the detection data corresponding to a plurality of detection points form a data statistics set;
preprocessing a plurality of detection data in the data statistics set to obtain a corresponding detection curve, and carrying out influence analysis on a detection area under the corresponding detection condition according to the detection curve to obtain a data analysis set containing a plurality of analysis data; the step of obtaining a data analysis set includes:
when a detection curve is built for a plurality of detection points in sequence, respectively setting the detection time as an abscissa and the concentration of the target object as an ordinate to build the detection curve, and sequencing according to the numbers of the corresponding detection points;
when the influence analysis is implemented, the acquired detection curve is matched with the corresponding standard curve to judge whether the concentration of the target object corresponding to the detection curve is normal or not; if the detection curve is completely in the standard curve range, judging that the detection result of the target object corresponding to the detection point is normal under the detection condition and associating a normal label;
if the detection curve is not completely in the standard curve range, judging that the detection result of the target object corresponding to the detection point is abnormal under the detection condition and associating an abnormal label;
a plurality of normal labels and abnormal labels under different detection conditions form analysis data, and analysis data corresponding to a plurality of detection points form a data analysis set;
integrating a plurality of analysis data in the data analysis set to integrally evaluate the air quality in the vehicle, and outputting and prompting the evaluation result, wherein the method comprises the following steps:
acquiring a plurality of analysis data in a data analysis set, traversing, and carrying out tracing evaluation on the abnormality of the concentration of the target object according to the abnormality label acquired by traversing;
acquiring the area of the corresponding selected curve outside the standard curve range according to the abnormal label and marking the area as QM; counting the total number of the abnormal labels corresponding to the detection points under different detection conditions and marking the total number as YZ; acquiring the type of the target object and the corresponding type weight and marking the type of the target object as LQ;
the method comprises the steps of extracting numerical values of various marked data, vertically integrating the numerical values in parallel to obtain a detection-shaped estimated value corresponding to a target object when detecting the air quality in a vehicle, obtaining the influence of the target object on the air quality in the vehicle according to the detection-shaped estimated value, and obtaining the detection-shaped estimated value through calculation, wherein a corresponding calculation formula is as follows:
wherein QM0 is a preset standard abnormal area; alpha is a preset abnormal compensation factor;
when the influence of the detected state estimation on the target object is analyzed and evaluated, a corresponding detected state estimation threshold value is obtained according to the type of the target object, and the detected state estimation value and the detected state estimation threshold value are subjected to matching analysis to obtain an evaluation result.
2. The method according to claim 1, wherein when the detected state estimation value and the detected state estimation threshold value are subjected to matching analysis, a first monitoring signal is generated if the detected state estimation value is smaller than P% of the detected state estimation threshold value; p is a positive integer less than one hundred; if the detected state estimation value is not less than P% of the detected state estimation threshold value and is less than the detected state estimation threshold value, generating a second monitoring signal; if the detection state estimation value is not smaller than the detection state estimation threshold value and smaller than Q of the detection state estimation threshold value, generating a third monitoring signal; q is a positive integer greater than one hundred; if the detection state estimation value is not smaller than the Q value of the detection state estimation threshold value, generating a fourth monitoring estimation signal;
the first, second, third and fourth monitoring signals constitute an evaluation result.
3. The method for testing the air quality in the vehicle according to claim 2, wherein the effect of the corresponding target object on the air quality in the vehicle is adaptively output according to different monitoring signals in the evaluation result.
4. A test system for the air quality in a vehicle, applied to the test method for the air quality in a vehicle as claimed in any one of claims 1 to 3, characterized by comprising:
and a data statistics module: under different preset temperature conditions, carrying out data detection and statistics on different preset detection positions to obtain a data statistics set containing a plurality of detection data;
and a data analysis module: preprocessing a plurality of detection data in the data statistics set to obtain a corresponding detection curve, and carrying out influence analysis on a detection area under the corresponding detection condition according to the detection curve to obtain a data analysis set containing a plurality of analysis data;
and (3) integrating an evaluation module: and integrating a plurality of analysis data in the data analysis set to integrally evaluate the air quality in the vehicle, and outputting and prompting the evaluation result.
5. A storage medium comprising at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform a method for testing air quality in a vehicle according to any one of claims 1 to 3.
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| DE102012206788A1 (en) * | 2011-04-28 | 2012-10-31 | Ford-Werke Gmbh | Method for direct measurement of e.g. total quantity of nitric oxide in gas mixture in on-board diagnostic system of vehicle, involves measuring and deriving variable of stored material in relation with change in total quantity of component |
| US10525791B2 (en) * | 2017-03-28 | 2020-01-07 | International Business Machines Corporation | Intelligent in-vehicle air-quality control |
| CN111175441B (en) * | 2018-11-09 | 2023-06-06 | 博玺投资有限公司 | Pre-evaluation method for air quality in vehicle |
| CN111460041A (en) * | 2020-04-23 | 2020-07-28 | 上海格雍环保科技有限公司 | Environmental information monitoring system |
| CN112884332A (en) * | 2021-03-01 | 2021-06-01 | 广州图创计算机软件开发有限公司 | Intelligent terminal management system based on integrated circuit perception technology |
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| CN113442676A (en) * | 2021-06-28 | 2021-09-28 | 东风汽车集团股份有限公司 | Air quality control system in car |
| CN113804834A (en) * | 2021-09-17 | 2021-12-17 | 安徽皖华环保设备科技有限公司 | Indoor air quality detection system based on big data analysis |
| CN115468987A (en) * | 2022-07-26 | 2022-12-13 | 启思半导体(杭州)有限责任公司 | In-vehicle gas detection and analysis method |
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