Volatile organic compound detection treatment method, device, equipment and medium

Abstract

The embodiment of the invention relates to a detection treatment method, device and equipment for volatile organic compounds and a medium. The method comprises the steps that the initial organic matter emission concentration of each interior trim in a vehicle is obtained; inputting the initial organic matter emission concentration into a pre-constructed organic matter emission model of the vehicle to obtain a termination organic matter emission concentration; and calculating and processing according to the termination organic matter emission concentration and the initial organic matter emission concentration to obtain the organic matter concentration contribution amount of each interior trim. According to the technical scheme, on the premise of considering organic matter emission and adsorption performance under the condition that multiple interiors coexist, the actual contribution amount of each interior to volatilization of the organic matter in the vehicle is rapidly obtained at a low cost, and on the basis that the obtaining accuracy of the actual contribution amount of the interiors to volatilization of the organic matter in the vehicle is guaranteed, the actual contribution amount of the interiors to volatilization of the organic matter in the vehicle is obtained. And the analysis cost of the actual contribution of the interior trim to the volatilization of the organic matters in the vehicle is reduced.

Description

Technical Field

[0001] The present disclosure relates to the technical field of material detection, and in particular to a method, device, equipment and medium for detecting and processing volatile organic compounds. Background Art

[0002] The concentration of Volatile Organic Compounds (VOC) is an important indicator for measuring the air quality in a vehicle. In order to determine the impact of various interior decorations such as seats, dashboards, carpets, etc. on the air quality in the vehicle, it is very common to test the contribution value of VOCs in the interior decoration of the vehicle.

[0003] In the related technology, different interior decorations in the vehicle are placed in a normal temperature environmental chamber at the same time. Each time a different interior decoration is removed and released for a certain period of time (such as 16 hours), the gas in the environmental chamber is collected separately, and the VOC concentration in the gas is analyzed by an instrument. The contribution of each interior decoration to the organic matter concentration in the vehicle is determined based on the concentration data.

[0004] However, in the above method of determining the contribution of organic matter concentration, if the contribution of organic matter concentration of multiple interiors is measured, if only one set of interiors is used (such as 20 key interiors), it will take 20 times the test time because a different interior needs to be removed each time and released at a certain temperature for a certain period of time, resulting in lower efficiency. If multiple sets of interiors are used at the same time (such as 20 key interiors in each set), multiple independent environmental chambers will be required, the testing cost will be high, and the purchase cost of the interior will also be high. Summary of the invention

[0005] In order to solve the above technical problems or at least partially solve the above technical problems, the present disclosure provides a method, device, equipment and medium for detecting and processing volatile organic compounds, which solves the technical problems in the prior art that the analysis cost of the actual contribution of the interior is high or the determination accuracy is low.

[0006] An embodiment of the present disclosure provides a method for detecting and processing volatile organic compounds, the method comprising: obtaining an initial organic matter emitting concentration of each interior trim in a vehicle; inputting the initial organic matter emitting concentration into a pre-built organic matter emission model of the vehicle to obtain a terminal organic matter emission concentration; and calculating and processing based on the terminal organic matter emission concentration and the initial organic matter emitting concentration to obtain an organic matter concentration contribution of each interior trim.

[0007] The disclosed embodiment also provides a volatile organic compound detection and processing device, the device comprising: a first acquisition module, used to obtain the initial organic matter emitting concentration of each interior trim in a vehicle; a second acquisition module, used to input the initial organic matter emitting concentration into a pre-built organic matter emission model of the vehicle to obtain a terminal organic matter emission concentration; and a third acquisition module, used to calculate and process according to the terminal organic matter emission concentration and the initial organic matter emitting concentration to obtain the organic matter concentration contribution of each interior trim.

[0008] An embodiment of the present disclosure also provides an electronic device, comprising: a processor; a memory for storing executable instructions of the processor; the processor is used to read the executable instructions from the memory and execute the instructions to implement the detection and processing method of volatile organic compounds provided in the embodiment of the present disclosure.

[0009] The embodiment of the present disclosure further provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program is used to execute the detection and processing method of volatile organic compounds provided by the embodiment of the present disclosure.

[0010] Compared with the prior art, the technical solution provided by the embodiments of the present disclosure has the following advantages:

[0011] The volatile organic matter detection and processing scheme provided by the embodiment of the present disclosure obtains the initial organic matter releasable concentration of each interior in the vehicle, inputs the initial organic matter releasable concentration into the pre-built vehicle organic matter emission model, determines the terminal organic matter emission concentration of each interior after a preset time period, and then, calculates and processes according to the terminal organic matter emission concentration and the initial organic matter releasable concentration to obtain the organic matter concentration contribution of each interior. In this technical scheme, an organic matter emission model for any combination of interiors can be constructed, and the organic matter concentration contribution under any combination of interiors can be obtained based on the organic matter emission model analysis, without the need for additional VOC testing, etc., which reduces the analysis cost of the actual contribution of the interior to the volatilization of organic matter in the vehicle, and the organic matter emission model simulates the joint action of multiple interiors in the vehicle, ensuring the accuracy of obtaining the actual contribution of the interior to the volatilization of organic matter in the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale.

[0013] Figure 1 A schematic diagram of a flow chart of a method for detecting and processing volatile organic compounds provided in an embodiment of the present disclosure;

[0014] Figure 2 A schematic flow chart of another method for detecting and processing volatile organic compounds provided in an embodiment of the present disclosure;

[0015] Figure 3 A schematic diagram of the structure of a volatile organic compound detection and processing device provided in an embodiment of the present disclosure;

[0016] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0017] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0018] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0019] The term "including" and its variations used herein are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0020] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0021] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0022] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0023] In order to solve the above problems, the embodiments of the present disclosure provide a method for detecting and processing volatile organic compounds, which will be introduced below in conjunction with specific embodiments.

[0024] Figure 1 The present invention provides a flow chart of a method for detecting and processing volatile organic compounds, which can be performed by a device for detecting and processing volatile organic compounds, wherein the device can be implemented by software and / or hardware and can generally be integrated into an electronic device. Figure 1 As shown, the method includes:

[0025] Step 101, obtaining the initial emitting concentration of organic matter of each interior trim in the vehicle.

[0026] Each interior decoration may be any object in the vehicle containing organic materials, including but not limited to vehicle seats, carpets, etc.

[0027] In one embodiment of the present disclosure, the initial organic releasable concentration of each interior trim in the vehicle is obtained, wherein the initial organic releasable concentration is the concentration of organic matter that can be emitted in the interior of the vehicle. In some possible embodiments, the initial organic releasable concentration of each interior trim can be determined based on the type of interior trim and the volume of interior trim. For example, the organic releasable concentration of each volume unit interior trim material is determined based on the type of interior trim, and the product value of the organic releasable concentration of each volume unit interior trim material and the volume of interior trim is calculated to obtain the initial organic releasable concentration of each interior trim, etc. In some possible embodiments, vehicle model information can also be queried, and the initial organic releasable concentration of the corresponding interior trim in the vehicle that is predetermined can be determined according to the vehicle model information.

[0028] In some possible embodiments, according to multiple preset sampling time periods, the sampled organic matter emission concentration of each interior in each preset sampling time period is obtained, wherein, in order to ensure that the measured relevant data conforms to the relevant standards, the sampling container can also be set according to the relevant standards, for example, the organic matter concentration contribution amount specified in the relevant standards is emitted under a 25 degree environment, and the temperature in the sampling container can be set to 25 degrees, etc. In one embodiment, in order to ensure that the sampling container does not deform, etc., nitrogen gas, etc. can also be filled in the sampling container.

[0029] For example, each interior decoration can be placed in a sampling container, and the sampling container can be any low-cost container such as a sampling bag. The preset sampling time period can also be calibrated according to the scene, such as multiple sampling time periods can include 4h, 8h, 16h, 24h, 48h, 72h, 96h, etc. In this embodiment, the sampled organic emission concentration of each interior decoration in each preset sampling time period is obtained. In some possible embodiments, the sampling container where each interior decoration is located can be obtained, and the organic emission concentration of the sampling container in each preset sampling time period is obtained as the sampled organic emission concentration. In this embodiment, different interior decorations can be placed in different sampling bags respectively, and the collection efficiency of the sampled organic emission concentration is greatly improved without increasing the collection cost of the sampled organic emission concentration. Therefore, a deep learning model can be pre-constructed, and multiple sampled organic emission concentrations corresponding to each interior decoration in multiple preset sampling time periods are input into the deep learning model to obtain the initial organic emission concentration output by the deep learning model.

[0030] For example, a first correlation between the initial organic matter emitting concentration and multiple sampled organic matter emission concentrations corresponding to multiple preset sampling time periods can be preset, and the initial organic matter emitting concentration can be determined based on the first correlation and the multiple sampled organic matter emission concentrations corresponding to the multiple preset sampling time periods.

[0031] For example, the maximum value among a plurality of sampled organic matter emission concentrations may be determined as the initial organic matter emission concentration.

[0032] Step 102 : inputting the initial organic matter emission concentration into a pre-built vehicle organic matter emission model to obtain a terminal organic matter emission concentration.

[0033] In one embodiment of the present disclosure, the emission-related parameters of each interior trim in the vehicle are obtained. In some possible embodiments, the emission-related parameters include a diffusion coefficient D and a distribution coefficient K, wherein the diffusion coefficient is a physical quantity indicating the degree of diffusion of organic matter. The diffusion coefficient refers to the amount of organic matter gas passing through a unit area per unit time when the concentration gradient is one unit, and the distribution coefficient refers to the ratio of the activity of the concentration inside the interior trim material to the external concentration when the distribution equilibrium is reached at a certain temperature, and the distribution coefficient is a constant.

[0034] Furthermore, an organic matter emission model of the vehicle is constructed according to the pre-acquired initial organic matter remittable concentrations and emission-related parameters of all interior trims.

[0035] The initial organic matter releasable concentration and the emission-related parameters of each interior can be obtained separately or together. When they are obtained separately, the emission-related parameters can be obtained based on experimental data. When they are obtained together, the emission-related parameters are obtained in different ways in different application scenarios. The examples are as follows:

[0036] In some possible embodiments, according to multiple preset sampling time periods, the sampled organic matter emission concentration of each interior in each preset sampling time period is obtained, wherein, in order to ensure that the measured relevant data conforms to the relevant standards, the sampling container can also be set according to the relevant standards, for example, the organic matter concentration contribution amount specified in the relevant standards is emitted under a 25 degree environment, and the temperature in the sampling container can be set to 25 degrees, etc. In one embodiment, in order to ensure that the sampling container does not deform, etc., nitrogen gas, etc. can also be filled in the sampling container.

[0037] For example, each interior can be placed in a sampling container, which can be any low-cost container such as a sampling bag. The preset sampling time period can also be calibrated according to the scene, such as multiple sampling time periods can include 4h, 8h, 16h, 24h, 48h, 72h, 96h, etc. In this embodiment, the sampled organic emission concentration of each interior in each preset sampling time period is obtained. In some possible embodiments, the sampling container where each interior is located can be obtained, and the organic emission concentration of the sampling container in each preset sampling time period is obtained as the sampled organic emission concentration. In this embodiment, different interiors can be placed in different sampling bags respectively, which greatly improves the collection efficiency of the sampled organic emission concentration without increasing the collection cost of the sampled organic emission concentration.

[0038] Furthermore, according to the multiple sampled organic matter emission concentrations corresponding to the multiple preset sampling time periods, the initial organic matter emitting concentration C0 (mg / m3) and emission-related parameters (including the diffusion coefficient D and the distribution coefficient K) of each interior are obtained.

[0039] In some possible embodiments, a second correlation relationship between the emission correlation parameter and multiple sampled organic emission concentrations corresponding to multiple preset sampling time periods may be preset, and the emission correlation parameter may be determined based on the second correlation relationship and multiple sampled organic emission concentrations corresponding to multiple preset sampling time periods.

[0040] Of course, in other possible embodiments, other methods may be used to obtain the distribution-related parameters, which are not listed here one by one.

[0041] Furthermore, an organic matter emission model of the vehicle is constructed according to the pre-acquired initial organic matter remittable concentrations and emission-related parameters of all interior trims.

[0042] In one embodiment of the present disclosure, an interior model of each interior in a vehicle is determined, and after obtaining all interior models after value assignment processing in the vehicle, an organic emission model of the vehicle is constructed. The organic emission model can be understood as a simulation model that simulates the VOC concentration environment in the vehicle.

[0043] The method of constructing the vehicle's organic emission model may be any simulation model construction method in the prior art, which is not limited here. As a possible example, Figure 2 As shown, based on the pre-acquired initial organic matter emission concentrations and emission-related parameters of all interior trims, an organic matter emission model for the vehicle is constructed, including:

[0044] Step 201, determining an interior model corresponding to each interior decoration in the vehicle.

[0045] In one embodiment of the present disclosure, an interior model corresponding to each interior decoration in the vehicle may be constructed in relevant simulation software, such as finite element numerical simulation software.

[0046] Step 202: in the finite element numerical simulation software, assign values ​​to the corresponding interior model according to the initial organic matter remittable concentration and the emission-related parameters.

[0047] After the interior model is constructed, the corresponding interior model is assigned values ​​according to the initial organic matter emitting concentration and emission-related parameters.

[0048] Step 203 , constructing an organic matter emission model according to the Fick's diffusion law formula, the Henry's law formula and all interior models after value assignment processing.

[0049] In this embodiment, after constructing the interior model, an organic emission model is constructed based on the Fick's diffusion law formula, Henry's law formula and all interior models after assignment processing, wherein the organic emission model can be regarded as the VOC environment under the joint action of all interior decorations in the car.

[0050] The above-mentioned Fick's diffusion law formula and Henry's law formula are used to simulate the release or adsorption process of the organic matter concentration of each interior. In some possible embodiments, the Fick's diffusion law formula is: Where J is the diffusion flux, D is the diffusion coefficient, The Fick diffusion law formula is a set of mathematical equations that describe the diffusion phenomenon, which describes the relationship between the diffusion flow rate of organic matter per unit cross-sectional area perpendicular to the diffusion direction per unit time (called diffusion flux) and the concentration gradient at the cross section under steady-state diffusion conditions. In other words, the greater the concentration gradient, the greater the diffusion flux; Henry's law formula is Where K is the distribution coefficient, C m is the organic matter emission concentration on the inner surface of the corresponding interior surface, that is, the organic matter emission concentration on the side of the interior surface that is not in contact with the air inside the vehicle, C ais the organic emission concentration of the outer surface of the interior, that is, the organic emission concentration of the side of the interior surface in contact with the air in the vehicle, wherein the Henry's law formula describes the relationship between the solubility of organic gas in liquid in the air and the equilibrium partial pressure of the organic gas. In this embodiment, the organic emission model is constructed according to the Fick's diffusion law formula, the Henry's law formula and all interior models after the assignment process.

[0051] In some possible embodiments, an organic emission model may be pre-built for each vehicle model, so that after the corresponding organic emission model is determined based on the vehicle model, the corresponding interior model is assigned values ​​according to the initial organic emission concentration and emission-related parameters.

[0052] After constructing the organic emission model, the terminal organic emission concentration of each interior after a preset time period can be determined according to the organic emission model, wherein the preset time period can be calibrated according to relevant standards. For example, if the contribution value of volatile organic matter specified in the VOC detection standard is 16h, then the corresponding preset time period is 16h.

[0053] In some possible embodiments, an organic matter emission model may be run in finite element numerical simulation software, and in the running organic matter emission model, a terminal organic matter emission concentration of each interior trim after a preset time period is obtained.

[0054] Step 103 : obtaining the organic matter concentration contribution of each interior decoration by calculating and processing the ending organic matter emission concentration and the initial organic matter emission concentration.

[0055] After obtaining the final organic matter emission concentration, the organic matter concentration contribution of each interior decoration is calculated and determined according to the final organic matter emission concentration and the initial organic matter releasable concentration. In some possible embodiments, the final organic matter emission concentration and the initial organic matter releasable concentration of each interior decoration can be respectively input into a pre-built deep learning model to obtain the organic matter concentration contribution output by the deep learning model.

[0056] In some possible embodiments, the concentration difference between the initial organic matter emission concentration and the final organic matter emission concentration can be calculated, and the product value of the concentration difference and the interior volume of the corresponding interior can be calculated, and the product value is determined as the organic matter concentration contribution of the corresponding interior. For example, if the initial organic matter emission concentration of a certain interior is determined to be C0, the final organic matter emission concentration is C1, and the interior volume of the corresponding interior is Vm, then the organic matter concentration contribution of the corresponding interior G m (mg) = (C0-C1) × V m .

[0057] In one embodiment of the present disclosure, after obtaining the organic matter concentration contribution of each interior decoration, the organic matter concentration contribution G of each interior decoration can also be calculated. m (mg) divided by the volume V of the emission space (air) in the organic emission model a , and obtain the actual contribution concentration G of VOC in each interior c (mg / m 3 ), and then, based on the actual contribution concentration, the organic volatility analysis of each interior decoration is performed. For example, the interior decoration with an actual contribution concentration greater than a certain value can be determined, and a notification reminder for replacing the interior decoration material can be given.

[0058] Therefore, in the volatile organic compound detection and processing technical solution disclosed in the present invention, the VOC initial emitting concentration C0 of each interior is subtracted from the VOC final emitting concentration C1 of each interior in the emission simulation result of multiple interiors in the organic emission model to obtain the emitting concentration change of each interior, and then the contribution of each organic concentration is multiplied by the volume V of each interior. m , get the actual VOC contribution of each interior decoration - organic matter concentration contribution G m . Therefore, on the one hand, a simulation model of any interior combination can be constructed in the organic emission model, and the organic concentration contribution of each interior under any interior combination can be analyzed, without the need for additional VOC testing, that is, a test result (initial organic emission concentration and emission-related parameters) can be used unlimited times, which is highly flexible; on the other hand, only one set of interiors and one sampling container are needed, and a relatively accurate organic concentration contribution of each interior to the VOC in the car can be obtained in a relatively short time, which is low cost and high efficiency. On the other hand, the organic concentration contribution of each interior is obtained based on the organic emission model that simulates the VOC emission of all interiors. Therefore, the influence of VOC emission and adsorption performance under the coexistence of multiple interiors is taken into account, ensuring the accuracy of the determined organic concentration contribution of each interior.

[0059] In summary, the volatile organic matter detection and processing method of the disclosed embodiment obtains the initial organic matter releasable concentration of each interior in the vehicle, inputs the initial organic matter releasable concentration into the pre-built vehicle organic matter emission model, determines the terminal organic matter emission concentration of each interior after a preset time period, and then, calculates and processes according to the terminal organic matter emission concentration and the initial organic matter releasable concentration to obtain the organic matter concentration contribution of each interior. In this technical solution, an organic matter emission model for any combination of interiors can be constructed, and the organic matter concentration contribution under any combination of interiors can be obtained based on the organic matter emission model analysis, without the need for additional VOC testing, etc., which reduces the analysis cost of the actual contribution of the interior to the volatilization of organic matter in the vehicle, and the organic matter emission model simulates the joint action of multiple interiors in the vehicle, ensuring the accuracy of obtaining the actual contribution of the interior to the volatilization of organic matter in the vehicle.

[0060] In order to implement the above embodiments, the present disclosure also proposes a volatile organic compound detection and processing device. Figure 3 This is a schematic diagram of the structure of a volatile organic compound detection and processing device provided by an embodiment of the present disclosure. The device can be implemented by software and / or hardware and can generally be integrated in an electronic device to perform volatile organic compound detection and processing. Figure 3 As shown, the device includes: a first acquisition module 310, a second acquisition module 320, and a third acquisition module 330, wherein:

[0061] A first acquisition module 310 is used to acquire an initial organic matter emitting concentration of each interior trim in the vehicle;

[0062] The second acquisition module 320 is used to input the initial organic matter emission concentration into a pre-built vehicle organic matter emission model to obtain the ending organic matter emission concentration;

[0063] The third acquisition module 330 is used to obtain the organic matter concentration contribution of each interior trim according to the calculation processing of the ending organic matter emission concentration and the initial organic matter emitting concentration.

[0064] The volatile organic compound detection and processing device provided in the embodiments of the present disclosure can execute the volatile organic compound detection and processing method provided in any embodiment of the present disclosure, and has functional modules and beneficial effects corresponding to the execution method. The implementation principles are similar and will not be repeated here.

[0065] In order to implement the above embodiments, the present disclosure further proposes a computer program product, including a computer program / instruction, which implements the volatile organic compound detection and processing method in the above embodiments when executed by a processor.

[0066] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure.

[0067] The following specific reference Figure 4 , which shows a schematic diagram of the structure of an electronic device 400 suitable for implementing the embodiment of the present disclosure. The electronic device 400 in the embodiment of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 4 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0068] like Figure 4As shown, the electronic device 400 may include a processor (e.g., a central processing unit, a graphics processing unit, etc.) 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from a memory 408 to a random access memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the electronic device 400 are also stored. The processor 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0069] Typically, the following devices may be connected to the I / O interface 405: an input device 406 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 407 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a memory 408 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 409. The communication device 409 may allow the electronic device 400 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 4 The electronic device 400 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.

[0070] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 409, or installed from the memory 408, or installed from the ROM 402. When the computer program is executed by the processor 401, the above functions defined in the detection and processing method of volatile organic compounds in the embodiment of the present disclosure are executed.

[0071] It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0072] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0073] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0074] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: obtains the initial organic emission concentration of each interior in the vehicle, inputs the initial organic emission concentration into the pre-built vehicle organic emission model, determines the terminal organic emission concentration of each interior after a preset time period, and then calculates and processes according to the terminal organic emission concentration and the initial organic emission concentration to obtain the organic concentration contribution of each interior. In this technical solution, an organic emission model for any combination of interiors can be constructed, and the organic concentration contribution under any combination of interiors can be obtained based on the organic emission model analysis, without the need for additional VOC testing, etc., which reduces the analysis cost of the actual contribution of the interior to the volatilization of organic matter in the vehicle, and the organic emission model simulates the joint action of multiple interiors in the vehicle, ensuring the accuracy of obtaining the actual contribution of the interior to the volatilization of organic matter in the vehicle.

[0075] The electronic device may be written in one or more programming languages ​​or a combination thereof to write computer program code for performing the operations of the present disclosure, including but not limited to object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0076] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0077] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware, wherein the name of a unit does not, in some cases, limit the unit itself.

[0078] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0079] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0080] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

[0081] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0082] Although the subject matter has been described in language specific to structural features and / or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

Claims

1. A method for detecting and processing volatile organic compounds, characterized in that: The following steps are involved: Obtain the initial organic matter emission concentration of each interior in the vehicle; Inputting the initial organic matter emission concentration into a pre-built organic matter emission model of the vehicle to obtain a terminal organic matter emission concentration; The organic matter concentration contribution of each interior trim is obtained by calculating and processing the ending organic matter emission concentration and the initial organic matter emitting concentration.

2. The method according to claim 1, characterized in that Before inputting the initial organic matter emitting concentration into the pre-built organic matter emission model of the vehicle, the method further includes: Acquire the emission-related parameters of each interior trim in the vehicle, wherein the emission-related parameters include a diffusion coefficient and a distribution coefficient; An organic matter emission model of the vehicle is constructed according to the pre-acquired initial organic matter remittable concentrations and emission-related parameters of all interior trims.

3. The method according to claim 1, characterized in that The method of obtaining the initial organic matter emission concentration of each interior trim in the vehicle includes: Obtaining the sampled organic matter emission concentration of each interior decoration in each of the preset sampling time periods in a plurality of preset sampling time periods; The initial emitting concentration of organic matter of each interior trim is obtained according to the plurality of sampled organic matter emission concentrations corresponding to the plurality of preset sampling time periods.

4. The method according to claim 2, characterized in that The step of constructing the organic matter emission model of the vehicle according to the pre-acquired initial organic matter emission concentrations and emission-related parameters of all interior trims includes: Determining an interior model corresponding to each interior trim in the vehicle; In the finite element numerical simulation software, assigning values ​​to the corresponding interior model according to the initial organic matter releasable concentration and the emission-related parameters; The organic matter emission model is constructed according to the Fick's diffusion law formula, the Henry's law formula and all interior models after assignment processing.

5. The method according to claim 4, characterized in that The step of determining the termination organic matter emission concentration of each interior decoration after a preset time period according to the organic matter emission model includes: Running the organic matter emission model in the finite element numerical simulation software; In the running organic matter emission model, the final organic matter emission concentration of each interior decoration after the preset time period is obtained.

6. The method according to any one of claims 1 to 4, characterized in that: The step of calculating and processing the ending organic matter emission concentration and the initial organic matter emission concentration to obtain the organic matter concentration contribution of each interior decoration comprises: Calculating the concentration difference between the initial organic matter emitting concentration and the final organic matter emitting concentration; Calculating a product value of the concentration difference and a corresponding interior volume of the interior; The product value is determined to be a corresponding organic matter concentration contribution of the interior decoration.

7. A volatile organic compound detection and processing device, characterized in that: include: A first acquisition module is used to acquire the initial organic matter emitting concentration of each interior trim in the vehicle; A second acquisition module is used to input the initial organic matter emission concentration into a pre-built organic matter emission model of the vehicle to obtain a terminal organic matter emission concentration; The third acquisition module is used to calculate and process the ending organic matter emission concentration and the initial organic matter emitting concentration to acquire the organic matter concentration contribution of each interior decoration.

8. An electronic device, characterized in that: The electronic device comprises: processor; a memory for storing instructions executable by the processor; The processor is used to read the executable instructions from the memory and execute the executable instructions to implement the volatile organic compound detection and processing method described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is used to execute the volatile organic compound detection and processing method described in any one of claims 1 to 6.

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