Method, equipment and medium for detecting harmful substances of automotive upholstery

Abstract

The invention discloses a method and equipment for detecting harmful substances of automotive upholstery and a medium, and the method comprises the following steps: obtaining different types of automotive upholstery, processing the automotive upholstery to obtain a to-be-detected product, and placing the to-be-detected product in a detection area; generating detection parameters corresponding to different types of automotive upholstery based on a set detection program to obtain detection data; constructing an analysis model based on the big data, inputting the detection data into the analysis model, outputting an analysis result, and judging whether the analysis result is in a set security interval; if yes, judging that the automotive interior trim part meets the requirement; if not, analyzing parameter information of the harmful substances based on an analysis result to obtain component and concentration information of the harmful substances; different to-be-detected products are subjected to different detections through the set detection program, and the components and concentrations of harmful substances are accurately analyzed through the analysis model, so that the harmfulness of the automotive interior trim parts is accurately analyzed, and the analysis effect is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of harmful substance detection for interior decoration, and in particular to a method, equipment and medium for detecting harmful substances in automobile interior decoration parts. Background Art

[0002] During the processing and production of automotive parts, different types of parts need to be tested differently. For example, automotive safety parts need to be tested on the performance of automotive interior materials to ensure that the automotive safety parts meet the use requirements. The existing methods for detecting harmful substances in automotive interior parts cannot accurately detect the composition of harmful substances and the harmfulness of harmful substances in automotive interiors, thereby invisibly affecting the health of people in the car, and cannot accurately analyze different interiors and harmfulness requirements, affecting the accuracy of the analysis. Summary of the invention

[0003] The purpose of the present invention is to provide a method, device and medium for detecting harmful substances in automobile interior parts, so as to solve the problem that the existing technology cannot accurately analyze the harmfulness of automobile interior parts, which affects human health.

[0004] In order to achieve the above-mentioned invention object, the technical solution adopted by the present invention is: a method for detecting harmful substances in automobile interior decoration parts, comprising the following steps:

[0005] Obtain different types of automotive interior parts, process the automotive interior parts to obtain products to be inspected, and place the products to be inspected in the inspection area;

[0006] Generate detection parameters corresponding to different types of automotive interior parts based on the set detection program to obtain detection data;

[0007] Build an analysis model based on big data, input the test data into the analysis model, output the analysis results, and determine whether the analysis results are within the set safety range;

[0008] If it is within the set safety range, it is determined that the automotive interior parts meet the requirements;

[0009] If it is not within the set safety range, the parameter information of the harmful substances is analyzed based on the analysis results to obtain the composition and concentration information of the harmful substances.

[0010] Furthermore, different types of automobile interior parts are obtained and the automobile interior parts are processed to obtain the products to be inspected, specifically including:

[0011] Obtain automobile interior parts, classify the automobile interior parts according to their functions, usage locations or materials, and obtain different types of automobile interior parts;

[0012] Setting a detection area, and cutting the automobile interior decoration part based on the set detection area to obtain an automobile interior decoration part with the same size as the set detection area;

[0013] Cut out at least three interior parts of the same shape and area from the same type of automobile interior parts;

[0014] All the cut automotive interior parts are taken as the products to be inspected.

[0015] Further, the items to be inspected are placed in the inspection area, specifically including:

[0016] Set up multiple detection zones, and set different detection parameters for each detection zone;

[0017] Analyze the detection functions in different detection areas based on the detection parameters to obtain functional information;

[0018] Obtain parameter information of the product to be inspected, and analyze the inspection requirement information of the product to be inspected based on the parameter information of the product to be inspected;

[0019] Matching the function information with the detection requirement information to obtain a matching degree, and determining whether the matching degree is greater than or equal to a set matching degree threshold;

[0020] If it is greater than or equal to, the object to be inspected is placed in a matching inspection area; if it is less than, the inspection parameters of at least one inspection area are adjusted according to the parameter information of the object to be inspected.

[0021] Furthermore, based on the set detection program, detection parameters corresponding to different types of automotive interior parts are generated to obtain detection data, including:

[0022] Acquire a detection program, and configure a plurality of detection instruments, a plurality of detection environments, and a plurality of detection modes based on the detection program, wherein the detection instruments include an infrared spectrometer, a gas chromatograph, a liquid chromatograph, and a mass spectrometer;

[0023] The detection environment includes a combination detection environment of a lighting environment under various lighting conditions, a temperature environment under various temperature conditions, and a humidity environment under various humidity conditions;

[0024] The detection mode includes a limit detection mode and an adjustment detection mode;

[0025] Obtain the category of automobile interior parts, select matching testing instruments and testing environments based on the testing procedures, and generate testing parameters matching the testing environment;

[0026] Set and adjust the detection mode to generate multi-level detection parameters, set each level of detection parameters for the products to be detected in the detection area through the detection instrument, and obtain the detection data under each detection parameter;

[0027] The limit detection mode is set to generate limit detection parameters, and based on the limit detection parameters, the products to be inspected in the detection area are inspected by the detection instrument to obtain limit detection data;

[0028] Integrate the detection data under each detection parameter with the limit detection data to obtain the final detection data.

[0029] Furthermore, an analysis model is constructed based on big data, the detection data is input into the analysis model, and the analysis results are output, including:

[0030] Based on big data, historical inspection data and historical analysis results of different types of interior parts are obtained to establish a training set;

[0031] Iteratively train the initial model based on the training set to generate training results;

[0032] Determining whether the training result converges;

[0033] If converged, an analytical model is generated;

[0034] If it does not converge, correction information is generated, and model parameters are dynamically adjusted based on the correction information until the model converges.

[0035] Furthermore, the parameter information of the harmful substances is analyzed based on the analysis results to obtain the composition and concentration information of the harmful substances, including:

[0036] Obtaining analysis results, using gas chromatograph and mass spectrometer to analyze the analysis results, and obtaining the components and concentrations of the automotive interior parts;

[0037] Compare the standard composition table and standard concentration table based on the categories of automotive interior parts;

[0038] Compare the components of the automotive interior parts with the standard components to obtain the excess components;

[0039] Compare the component concentrations of the automotive interior parts with the standard concentration table to obtain the component composition that is higher than the standard concentration table;

[0040] The composition and concentration information of harmful substances are obtained based on the composition of excess components and components above the standard concentration table.

[0041] The present invention also provides a device for detecting harmful substances in automobile interior parts, comprising a processor, a memory and at least one program, wherein the program is stored in the memory and is configured to be executed by the processor, and the program includes instructions for executing a method for detecting harmful substances in automobile interior parts.

[0042] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, wherein the computer program enables a computer to execute to implement any of the above-mentioned methods for detecting harmful substances in automobile interior parts.

[0043] Due to the application of the above technical solution, the present invention has the following advantages compared with the prior art:

[0044] The present invention performs different tests on different products to be tested through a set detection program, and accurately analyzes the composition and concentration of harmful substances through an analysis model. During the analysis process, different detection instruments, detection environments and detection modes are selected to achieve flexible detection of automobile interior decoration parts, thereby accurately analyzing the harmfulness of automobile interior decoration parts and improving the analysis effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A schematic diagram showing a flow chart of a method for detecting harmful substances in automobile interior parts provided by an embodiment of the present invention;

[0046] Figure 2 The flowchart of the method for obtaining the product to be inspected provided in this embodiment is shown;

[0047] Figure 3 The flowchart of the method for matching the product to be inspected with the inspection area provided in this embodiment is shown. DETAILED DESCRIPTION

[0048] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0049] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0050] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0051] like Figure 1-Figure 3 As shown, an embodiment of the present invention provides a method for detecting harmful substances in automobile interior parts, comprising the following steps:

[0052] S101, obtaining different types of automobile interior parts, processing the automobile interior parts to obtain products to be inspected, and placing the products to be inspected in the inspection area;

[0053] S102, generating detection parameters corresponding to different types of automobile interior parts based on a set detection program to obtain detection data;

[0054] S103, building an analysis model based on big data, inputting the detection data into the analysis model, outputting the analysis result, and judging whether the analysis result is within the set safety range;

[0055] S104, if it is within the set safety range, it is determined that the automobile interior decoration part meets the requirements;

[0056] S105: If it is not in the set safety range, the parameter information of the harmful substances is analyzed based on the analysis result to obtain the composition and concentration information of the harmful substances.

[0057] It should be noted that different detection parameters are set through the detection program so that the detection parameters match different categories of automobile interior parts, ensuring that different categories of automobile interior parts have different detection methods, and accurately analyzing the composition and concentration of harmful substances in different categories of interior parts to improve detection accuracy.

[0058] According to an embodiment of the present invention, different types of automobile interior parts are obtained, and the automobile interior parts are processed to obtain products to be inspected, which specifically includes:

[0059] S201, obtaining automobile interior parts, and classifying the automobile interior parts according to their functions, usage locations or materials to obtain different types of automobile interior parts;

[0060] S202, setting a detection area, and cutting the automobile interior decoration parts based on the set detection area to obtain automobile interior decoration parts of the same size as the set detection area;

[0061] S203, cutting out at least three automotive interior parts of the same type and having the same shape and area;

[0062] S204, all the cut automobile interior parts are taken as the products to be inspected.

[0063] It should be noted that by cutting different interior decoration parts into the same shape and the same area to ensure that there are multiple interior decoration parts of the same category, multiple groups of test data of the same interior decoration part can be obtained, and average processing can be performed to improve the accuracy of the test data.

[0064] According to an embodiment of the present invention, placing the object to be inspected in the inspection area specifically includes:

[0065] S301, setting multiple detection areas, and setting different detection parameters for each detection area;

[0066] S302, analyzing detection functions in different detection areas based on detection parameters to obtain function information;

[0067] S303, obtaining parameter information of the product to be inspected, and analyzing the inspection requirement information of the product to be inspected based on the parameter information of the product to be inspected;

[0068] S304, matching the function information with the detection requirement information to obtain a matching degree, and determining whether the matching degree is greater than or equal to a set matching degree threshold;

[0069] S305: If it is greater than or equal to, the object to be inspected is placed in a matching inspection area; if it is less than, the inspection parameters of at least one inspection area are adjusted according to the parameter information of the object to be inspected.

[0070] It should be noted that by analyzing the parameter information of the items to be inspected, the parameter information of the items to be inspected includes the category of the items to be inspected, the functional information of the items to be inspected, the shape of the items to be inspected and the area of ​​the items to be inspected, so that different inspection areas can be selected for different items to be inspected to ensure that the items to be inspected can be accurately inspected. In addition, the same item to be inspected can be placed in multiple inspection areas in sequence according to the inspection requirements and the different requirements of the items to be inspected can be tested multiple times, thereby obtaining multi-dimensional inspection data.

[0071] According to an embodiment of the present invention, detection parameters corresponding to different types of automotive interior parts are generated based on a set detection program to obtain detection data, which specifically includes:

[0072] Obtain the detection program, and configure a variety of detection instruments, a variety of detection environments, and a variety of detection modes based on the detection program. The detection instruments include infrared spectrometer, gas chromatograph, liquid chromatograph, and mass spectrometer;

[0073] The testing environment includes a combination of a lighting environment under various lighting conditions, a temperature environment under various temperature conditions, and a humidity environment under various humidity conditions;

[0074] The detection modes include limit detection mode and adjustment detection mode;

[0075] Obtain the category of automobile interior parts, select matching testing instruments and testing environments based on the testing procedures, and generate testing parameters matching the testing environment;

[0076] Set and adjust the detection mode to generate multi-level detection parameters, set each level of detection parameters for the products to be detected in the detection area through the detection instrument, and obtain the detection data under each detection parameter;

[0077] The limit detection mode is set to generate limit detection parameters, and based on the limit detection parameters, the products to be inspected in the detection area are inspected by the detection instrument to obtain limit detection data;

[0078] Integrate the detection data under each detection parameter with the limit detection data to obtain the final detection data.

[0079] It should be noted that different testing instruments are selected according to different products to be tested, different testing environments are set with different testing parameters, and different testing modes are changed to improve the testing accuracy. In addition, different testing instruments, testing environments and testing modes can be combined with each other to configure a variety of testing parameters, so as to test automotive interior parts in a variety of environments and improve the testing accuracy.

[0080] Furthermore, the mass spectrometer places the gas molecules separated by chromatography in a high vacuum ion source, so that they are subjected to the action of high-speed electron flow to generate various fragment ions, which then enter the mass analyzer, and are separated by electric field, magnetic field, etc., and the mass spectrum is obtained after detection by the detector. Then, according to the comparison of the mass spectrum with the standard mass spectrum, the structural analysis and identification of the compound can be carried out, that is, qualitative treatment. At the same time, the mass spectrometer can obtain the flow diagram of total ions by scanning, and the quantitative basis is the peak area or peak height, so the accuracy of judging and measuring the peak height and peak area is an important reason affecting the quantitative analysis. Generally, peaks with low separation, short retention time and narrow half-peak width are easy to be quantified by peak height, while when using programmed temperature rise, it is appropriate to use peak area quantification, and when the peak shape is abnormal, it must be quantified by peak area.

[0081] Therefore, GC-MS technology is an analytical method developed by utilizing the efficient separation capability of gas chromatography for mixed gases and the accurate identification capability of mass spectrometry for compounds. It has efficient separation and qualitative analysis capabilities, high sensitivity, reliable data, and can also quickly separate and identify the components of the sample to be tested.

[0082] According to an embodiment of the present invention, an analysis model is constructed based on big data, the detection data is input into the analysis model, and the analysis result is output, which specifically includes:

[0083] Based on big data, historical inspection data and historical analysis results of different types of interior parts are obtained to establish a training set;

[0084] Iteratively train the initial model based on the training set to generate training results;

[0085] Determine whether the training results converge;

[0086] If converged, an analytical model is generated;

[0087] If it does not converge, correction information is generated, and model parameters are dynamically adjusted based on the correction information until the model converges.

[0088] It should be noted that by continuously training the initial model with historical data, an accurate analysis model can be obtained. During the training process, the model parameters can be continuously adjusted to realize the learning ability of the model and improve the output accuracy of the analysis model.

[0089] According to an embodiment of the present invention, the parameter information of the harmful substances is analyzed based on the analysis results to obtain the composition and concentration information of the harmful substances, which specifically includes:

[0090] Obtaining analysis results, using gas chromatograph and mass spectrometer to analyze the analysis results, and obtaining the components and concentrations of the automotive interior parts;

[0091] Compare the standard composition table and standard concentration table based on the categories of automotive interior parts;

[0092] Compare the components of the automotive interior parts with the standard components to obtain the excess components;

[0093] Compare the component concentrations of the automotive interior parts with the standard concentration table to obtain the component composition that is higher than the standard concentration table;

[0094] The composition and concentration information of harmful substances are obtained based on the composition of excess components and components above the standard concentration table.

[0095] It should be noted that different standard composition tables and standard concentration tables are selected according to different categories of automobile interior parts, so as to accurately compare the components and concentrations of automobile interior parts, so as to obtain the composition and concentration of harmful substances and improve the analysis effect of harmful substances.

[0096] Furthermore, determining the toxicity of a substance depends on two aspects: one is the molecules and composition of the substance; the other is the concentration of the substance. Toxic odors include many substances. Even the toxic volatile organic compounds (VOCs) in cars, that is, toxic odors in cars, include dozens of substances. Therefore, this book only provides a list and discussion of the main toxic substances with known toxicity measurements and their concentration limits. It is generally believed that the greater the ability of an exogenous chemical to damage the body, the higher its toxicity. The toxicity of exogenous chemicals is only of relative significance. In a certain sense, as long as it reaches a certain amount, any substance is toxic to the body. If it is lower than a certain amount, no substance is toxic. The key is the amount of contact between this substance and the body, the contact route, the contact method and the physical and chemical properties of the substance itself, but in most cases, the amount of contact with the body is the determining factor. In addition, toxicity is divided into acute toxicity, chronic toxicity and special toxicity including carcinogenicity, teratogenicity and mutagenicity.

[0097] According to an embodiment of the present invention, the parameter information of the harmful substances is analyzed based on the analysis results to obtain the composition and concentration information of the harmful substances, and further includes:

[0098] Obtain multiple automobile interior parts of the same category and place the automobile interior parts in the inspection area;

[0099] Obtaining the volume of the detection area, analyzing the components of the harmful substances based on the analysis results, and analyzing the volume of each harmful substance based on the components of the harmful substances;

[0100] The volume of each harmful substance is proportional to the volume of the detection area to obtain the concentration of each harmful substance.

[0101] It should be noted that by calculating the concentration of each harmful substance separately, the harm of different harmful substances to the human body can be accurately analyzed, thereby improving the analysis accuracy of harmful substances.

[0102] According to an embodiment of the present invention, it also includes:

[0103] Acquire concentration information of harmful substances, compare the concentration information of harmful substances with set concentration information, and obtain concentration deviation rate;

[0104] Comparing the concentration deviation rate with a set concentration deviation rate threshold, where the set concentration deviation rate threshold includes a first concentration deviation rate threshold and a second concentration deviation rate threshold, and the first concentration deviation rate threshold is less than the second concentration deviation rate threshold;

[0105] If the concentration deviation rate is less than the first concentration deviation rate threshold, it is determined that the harmful substances in the automobile interior decoration parts meet the requirements;

[0106] If the concentration deviation rate is greater than the first concentration deviation rate threshold and less than the second concentration deviation rate threshold, a first warning level is generated, and first hazardous substance warning information is generated based on the first warning level;

[0107] If the concentration deviation rate is greater than or equal to the second concentration deviation rate threshold, a second warning level is generated, and second hazardous substance warning information is generated based on the second warning level.

[0108] It should be noted that by analyzing the concentration information of harmful substances to determine the warning level of the concentration of harmful substances, the degree of harm of harmful substances to the human body can be accurately obtained, so as to selectively replace automobile interior parts and improve the safety effect of automobile interior parts.

[0109] The present invention also provides an automobile interior harmful substance detection device, comprising a processor, a memory and at least one program, wherein the program is stored in the memory and is configured to be executed by the processor, and the program includes instructions for executing an automobile interior harmful substance detection method.

[0110] In summary, the present invention performs different tests on different products to be tested through a set detection program, and accurately analyzes the composition and concentration of harmful substances through an analysis model. During the analysis process, different detection instruments, detection environments and detection modes are selected to achieve flexible detection of automobile interior parts, thereby accurately analyzing the harmfulness of automobile interior parts and improving the analysis effect.

[0111] The present invention also provides an automobile interior harmful substance detection device, comprising a processor, a memory and at least one program, wherein the program is stored in the memory and is configured to be executed by the processor, and the program includes instructions for executing an automobile interior harmful substance detection method.

[0112] Those skilled in the art will appreciate that, for ease of description, the example in which both the memory and the processor are provided with one is used for description. In an actual terminal or server, there may be multiple processors and memories. The memory may also be referred to as a storage medium or a storage device, etc., which is not limited in the embodiments of the present application.

[0113] It should be understood that in the embodiments of the present application, the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The processor may also be a general-purpose microprocessor, graphics processing unit (GPU), or one or more integrated circuits for executing related programs to implement the functions required to be executed in the embodiments of the present application.

[0114] The processor can also be an integrated circuit chip with signal processing capabilities. In the implementation process, the various steps of the present application can be completed by the integrated logic circuit of the hardware in the processor or the instructions in the form of software. The above-mentioned processor can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present application. The steps of the method disclosed in the embodiments of the present application can be directly embodied as a hardware decoding processor to be executed, or a combination of hardware and software modules in the decoding processor to be executed. The software module can be located in a random access memory, a flash memory and a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register and other mature storage media in the art. The storage medium is located in the memory, and the processor reads the information in the memory, and combines its hardware to complete the functions required to be performed by the unit included in the method, device and storage medium of the embodiment of the present application.

[0115] It should also be understood that the memory mentioned in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache.

[0116] By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DR RAM).

[0117] The memory may also be a read-only optical disc (Compact Disc Read-Only Memory, CD-ROM) or other optical disc storage, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory may be independent and connected to the processor via a bus. The memory may also be integrated with the processor, and the memory may store a program. When the program stored in the memory is executed by the processor, the processor is used to execute the various steps of the determination method in the above-mentioned embodiment of the present application.

[0118] It should be noted that when the processor is a general-purpose processor, DSP, ASIC, FPGA or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, the memory (storage module) is integrated into the processor. It should be noted that the memory described herein is intended to include but is not limited to these and any other suitable types of memory.

[0119] It should be understood that the term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0120] In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in a processor or an instruction in the form of software. The steps of the method disclosed in conjunction with the embodiment of the present application can be directly embodied as a hardware processor for execution, or a combination of hardware and software modules in a processor for execution. The software module can be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, and the processor reads the information in the memory, and completes the steps of the above method in conjunction with its hardware. To avoid repetition, it is not described in detail here.

[0121] Those skilled in the art will appreciate that the various illustrative logical blocks (ILBs) and steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0122] In the above embodiments, all or part of the embodiments may be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments may be implemented in the form of a program product of computer programming. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a processor, all or part of the processes or functions according to the embodiments of the present application are generated. The computer may be a general-purpose computer, a computer network, or other programmable device.

[0123] This embodiment also provides a computer-readable storage medium, which stores a computer program. The computer program enables a computer to execute to implement the above-mentioned method for detecting harmful substances in automobile interior parts.

[0124] It should be noted that computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (e.g., coaxial cable, optical fiber) or wireless (e.g., infrared, wireless, microwave, etc.) means, or can be transmitted from one website, computer, server or data center to a mobile phone processor by wired means. Computer-readable storage media can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media. Available media can be magnetic media (e.g., floppy disk, hard disk), optical media (e.g., DVD), or semiconductor media (e.g., solid-state hard disk), etc.

[0125] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for detecting harmful substances in automobile interior parts, characterized in that: The following steps are involved: Obtain different types of automotive interior parts, process the automotive interior parts to obtain products to be inspected, and place the products to be inspected in the inspection area; Generate detection parameters corresponding to different types of automotive interior parts based on the set detection program to obtain detection data; Build an analysis model based on big data, input the test data into the analysis model, output the analysis results, and determine whether the analysis results are within the set safety range; If it is within the set safety range, it is determined that the automotive interior parts meet the requirements; If it is not within the set safety range, the parameter information of the harmful substances is analyzed based on the analysis results to obtain the composition and concentration information of the harmful substances.

2. The method for detecting harmful substances in automobile interior parts according to claim 1, characterized in that: Obtain different types of automotive interior parts and process them to obtain the products to be inspected, including: Obtain automobile interior parts, classify the automobile interior parts according to their functions, usage locations or materials, and obtain different types of automobile interior parts; Setting a detection area, and cutting the automobile interior decoration part based on the set detection area to obtain an automobile interior decoration part with the same size as the set detection area; Cut out at least three interior parts of the same shape and area from the same type of automobile interior parts; All the cut automotive interior parts are taken as the products to be inspected.

3. The method for detecting harmful substances in automobile interior parts according to claim 2, characterized in that: Place the items to be inspected in the inspection area, including: Set up multiple detection zones, and set different detection parameters for each detection zone; Analyze the detection functions in different detection areas based on the detection parameters to obtain functional information; Obtain parameter information of the product to be inspected, and analyze the inspection requirement information of the product to be inspected based on the parameter information of the product to be inspected; Matching the function information with the detection requirement information to obtain a matching degree, and determining whether the matching degree is greater than or equal to a set matching degree threshold; If it is greater than or equal to, the object to be inspected is placed in a matching inspection area; if it is less than, the inspection parameters of at least one inspection area are adjusted according to the parameter information of the object to be inspected.

4. The method for detecting harmful substances in automobile interior parts according to claim 3, characterized in that: Generate the corresponding test parameters for different types of automotive interior parts based on the set test program and obtain the test data, including: Acquire a detection program, and configure a plurality of detection instruments, a plurality of detection environments, and a plurality of detection modes based on the detection program, wherein the detection instruments include an infrared spectrometer, a gas chromatograph, a liquid chromatograph, and a mass spectrometer; The detection environment includes a combination detection environment of a lighting environment under various lighting conditions, a temperature environment under various temperature conditions, and a humidity environment under various humidity conditions; The detection mode includes a limit detection mode and an adjustment detection mode; Obtain the category of automobile interior parts, select matching testing instruments and testing environments based on the testing procedures, and generate testing parameters matching the testing environment; Set and adjust the detection mode to generate multi-level detection parameters, set each level of detection parameters for the products to be detected in the detection area through the detection instrument, and obtain the detection data under each detection parameter; The limit detection mode is set to generate limit detection parameters, and based on the limit detection parameters, the products to be inspected in the detection area are inspected by the detection instrument to obtain limit detection data; Integrate the detection data under each detection parameter with the limit detection data to obtain the final detection data.

5. The method for detecting harmful substances in automobile interior parts according to claim 1, characterized in that: Build an analysis model based on big data, input the test data into the analysis model, and output the analysis results, including: Based on big data, historical inspection data and historical analysis results of different types of interior parts are obtained to establish a training set; Iteratively train the initial model based on the training set to generate training results; Determining whether the training result converges; If converged, an analytical model is generated; If it does not converge, correction information is generated, and model parameters are dynamically adjusted based on the correction information until the model converges.

6. The method for detecting harmful substances in automobile interior parts according to claim 1, characterized in that: Based on the analysis results, the parameter information of the harmful substances is analyzed to obtain the composition and concentration information of the harmful substances, including: Obtaining analysis results, using gas chromatograph and mass spectrometer to analyze the analysis results, and obtaining the components and concentrations of the automotive interior parts; Compare the standard composition table and standard concentration table based on the categories of automotive interior parts; Compare the components of the automotive interior parts with the standard components to obtain the excess components; Compare the component concentrations of the automotive interior parts with the standard concentration table to obtain the component composition that is higher than the standard concentration table; The composition and concentration information of harmful substances are obtained based on the composition of excess components and components above the standard concentration table.

7. A harmful substance detection device for automobile interior parts, characterized in that: The invention comprises a processor, a memory and at least one program, wherein the program is stored in the memory and is configured to be executed by the processor, and the program comprises instructions for executing the method for detecting harmful substances in automobile interior parts according to any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program enables a computer to execute to implement the method for detecting harmful substances in automobile interior parts according to any one of claims 1 to 6.

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