Detection system construction method and device, equipment and storage medium

Abstract

The invention discloses a detection system construction method and device, equipment and a storage medium, and belongs to the technical field of analysis and detection. The method comprises the following steps: firstly, determining a risk part list and a risk material list, and then carrying out SVHC detection, restricted substance detection and GADSL detection on risk materials in the risk material list. Therefore, according to the method, the high-risk materials, namely the materials with the high-risk substance content possibly exceeding the standard, in the automobile are screened out through the risk part list and the risk material list, then the high-risk materials are detected, and all the materials in the automobile do not need to be detected, so that the high-risk substances in the automobile can be detected, and the high-risk materials in the automobile can be detected. The detection range can be greatly reduced, and the detection efficiency is improved.

Description

Technical Field

[0001] The present application relates to the field of analytical detection technology, and in particular to a detection system construction method, device, equipment and storage medium. Background Art

[0002] With the implementation of REACH (Registration, Evaluation, Authorization and Restriction of Chemicals), chemical safety has become a key element in vehicle safety and compliance. REACH compliance is an essential prerequisite for automotive products entering relevant markets. Therefore, before vehicles enter these markets, it is essential to establish a testing system to detect high-risk substances in vehicles. Summary of the Invention

[0003] The embodiments of the present application provide a detection system construction method, apparatus, device, and storage medium that can detect high-risk substances in automobiles while significantly narrowing the detection range and improving detection efficiency. The technical solution is as follows:

[0004] In one aspect, a method for constructing a detection system is provided, comprising:

[0005] Determining a risk parts list based on parts information of multiple parts obtained by disassembling the entire vehicle, wherein the risk parts list includes parts information of multiple risk parts;

[0006] For each risk component, determine the material information of multiple component materials obtained after the risk component is split;

[0007] Determining a risk material list based on material information of a plurality of component materials corresponding to each of the plurality of risk components, the risk material list including material information of a plurality of risk materials corresponding to each of the plurality of risk components;

[0008] Based on the risk material list, SVHC testing, restricted substance testing and Global Automotive Declarable Substance List (GADSL) testing are performed on the risk materials corresponding to each of the risk components.

[0009] In one possible implementation, determining the risk parts list based on the parts information of the multiple parts obtained by disassembling the whole vehicle includes:

[0010] For each component, perform material risk analysis and vehicle material data risk analysis on the component to determine the risk level of the component;

[0011] If the risk level of the component indicates that the component is a risky component, the component information of the component is added to the risky component list.

[0012] In another possible implementation, based on the risk material list, the process of performing SVHC testing on the multiple risk materials corresponding to the multiple risk components includes:

[0013] For each risk component, taking the risk component as a unit, the multiple risk materials corresponding to the risk component are divided into metal materials and non-metal materials according to the material;

[0014] The metal material is tested for metal items in the SVHC list, and the non-metal material is tested for non-metal items in the SVHC list.

[0015] In another possible implementation, the testing of the non-metallic material for non-metallic items in the SVHC list includes:

[0016] Dividing the non-metallic material into an inorganic part and an organic part, wherein the inorganic part includes a plurality of uniform inorganic materials, and the organic part includes a plurality of uniform organic materials;

[0017] Dividing the plurality of uniform inorganic materials into at least one group of inorganic materials based on a preset number, and measuring the content of each group of inorganic materials using a first detection instrument;

[0018] The plurality of uniform organic materials are divided into at least one group of organic materials based on the preset number, and the content of each group of organic materials is measured by a second detection instrument.

[0019] In another possible implementation, the method further includes:

[0020] For a target group of inorganic materials, if the content of the target group of inorganic materials is greater than a preset threshold, each uniform inorganic material in the target group of inorganic materials is tested by the first testing instrument; based on the first test results, a risky inorganic material is determined; the target group of inorganic materials is any group of inorganic materials;

[0021] For a target group of organic materials, if the content of the target group of organic materials is greater than the preset threshold, each uniform organic material in the target group of organic materials is tested by the second testing instrument; based on the second test results, the risky organic material is determined; the target group of organic materials is any group of organic materials.

[0022] In another possible implementation, based on the risk material list, the process of performing restricted substance testing on the risk materials corresponding to the risk components includes:

[0023] For each risk component, taking the risk component as a unit, dividing a plurality of risk materials corresponding to the risk component into a plurality of uniform materials;

[0024] Eliminate restricted substances not related to automotive products from the restricted list to obtain target restricted substances, where the target restricted substances are restricted substances related to automotive products;

[0025] Determining the material and function of the target restricted substance;

[0026] A target homogeneous material related to the material and function of the target restricted substance is determined from the plurality of homogeneous materials, and the target homogeneous material is tested.

[0027] In another possible implementation, based on the risk material list, GADSL testing is performed on the risk materials corresponding to the risk components, including:

[0028] Identify prohibited substances in the GADSL;

[0029] For each risk component, the risk materials corresponding to the risk component are tested based on the banned substances, taking the risk component as a unit.

[0030] In another possible implementation, the method further includes:

[0031] Building a material database based on the third test results and vehicle material data, wherein the third test results are test results of multiple risk materials corresponding to each of the multiple risk components, and the third test results include SVHC test results, restricted substance test results, and GADSL test results;

[0032] The material database is cross-analyzed with a pre-built hazardous substance database to generate a first assessment report, wherein the hazardous substance database includes a plurality of hazardous substances. The first assessment report is used to display target risk materials, risky components to which the target risk materials belong, hazardous substances in the target risk materials, and sources of the target risk materials, wherein the target risk materials are risk materials with excessive content.

[0033] In another possible implementation, the method further includes:

[0034] Determining, based on the third test result and the risk material list, a target risk component to which the target risk material belongs, where the target risk material is a risk material with an excessive content, and the third test result is a test result of multiple risk materials corresponding to each of the multiple risk components, and the third test result includes an SVHC test result, a restricted substance test result, and a GADSL test result;

[0035] Based on the target risk components and the target risk materials, a second assessment report is generated, where the second assessment report is used to present treatment suggestions for the target risk components and the target risk materials.

[0036] In another aspect, a detection system construction device is provided, comprising:

[0037] A first determining module is configured to determine a risky parts list based on parts information of a plurality of parts obtained by disassembling the entire vehicle, wherein the risky parts list includes parts information of the plurality of risky parts;

[0038] A second determination module is configured to determine, for each risk component, material information of a plurality of component materials obtained after the risk component is split;

[0039] a third determining module, configured to determine a risk material list based on material information of a plurality of component materials corresponding to each of the plurality of risk components, wherein the risk material list includes material information of a plurality of risk materials corresponding to each of the plurality of risk components;

[0040] The detection module is used to perform SVHC detection, restricted substance detection and Global Automotive Declarable Substance List (GADSL) detection on multiple risk materials corresponding to each of the multiple risk components based on the risk material list.

[0041] In one possible implementation, the first determination module is configured to perform material risk analysis and vehicle material data risk analysis on each component to determine the risk level of the component; if the risk level of the component indicates that the component is a risky component, the component information of the component is added to the risk component list.

[0042] In another possible implementation, the detection module is used to divide the multiple risk materials corresponding to each risk component into metal materials and non-metal materials according to the material, taking the risk component as a unit; perform the metal item detection on the metal material in the SVHC list, and perform the non-metal item detection on the non-metal material in the SVHC list.

[0043] In another possible implementation, the detection module is used to divide the non-metallic material into an inorganic part and an organic part, the inorganic part includes a plurality of uniform inorganic materials, and the organic part includes a plurality of uniform organic materials; the plurality of uniform inorganic materials are divided into at least one group of inorganic materials based on a preset number, and the content of each group of inorganic materials is measured by a first detection instrument; the plurality of uniform organic materials are divided into at least one group of organic materials based on the preset number, and the content of each group of organic materials is measured by a second detection instrument.

[0044] In another possible implementation, the apparatus further includes:

[0045] a fourth determination module configured to, for a target group of inorganic materials, if the content of the target group of inorganic materials is greater than a preset threshold, test each uniform inorganic material in the target group of inorganic materials using the first testing instrument; and determine a risky inorganic material based on the first test result; the target group of inorganic materials being any group of inorganic materials;

[0046] The fifth determination module is used to detect each uniform organic material in the target group of organic materials using the second detection instrument if the content of the target group of organic materials is greater than the preset threshold; based on the second detection result, determine the risky organic material; the target group of organic materials is any group of organic materials.

[0047] In another possible implementation, the detection module is used to divide, for each risk component, multiple risk materials corresponding to the risk component into multiple homogeneous materials, taking the risk component as a unit; eliminate restricted substances that are not related to automotive products in the restriction list to obtain target restricted substances, where the target restricted substances are restricted substances related to automotive products; determine the material and function of the target restricted substance; determine a target homogeneous material related to the material and function of the target restricted substance from the multiple homogeneous materials, and detect the target homogeneous material.

[0048] In another possible implementation, the detection module is configured to determine banned substances in the GADSL; and for each risk component, based on the banned substances, detect multiple risk materials corresponding to the risk component, taking the risk component as a unit.

[0049] In another possible implementation, the apparatus further includes:

[0050] a construction module, configured to construct a material database based on a third test result and vehicle material data, wherein the third test result is a test result of a plurality of risk materials corresponding to each of the plurality of risk components, and the third test result includes a SVHC test result, a restricted substance test result, and a GADSL test result;

[0051] The first generation module is used to cross-analyze the material database with a pre-built hazardous substance database to generate a first assessment report. The hazardous substance database includes multiple hazardous substances. The first assessment report is used to display target risk materials, risk components to which the target risk materials belong, hazardous substances in the target risk materials, and the source of the target risk materials. The target risk materials are risk materials with excessive content.

[0052] In another possible implementation, the apparatus further includes:

[0053] a fifth determination module, configured to determine, based on the third test result and the risk material list, a target risk component to which the target risk material belongs, wherein the target risk material is a risk material with an excessive content, the third test result being the test results of multiple risk materials corresponding to each of the multiple risk components, and the third test result including an SVHC test result, a restricted substance test result, and a GADSL test result;

[0054] The second generating module is used to generate a second assessment report based on the target risk components and the target risk materials, and the second assessment report is used to display treatment suggestions for the target risk components and the target risk materials.

[0055] On the other hand, an electronic device is provided, comprising a processor and a memory, wherein the memory stores at least one program code, and the at least one program code is loaded and executed by the processor to implement any of the above-mentioned detection system construction methods.

[0056] On the other hand, a computer-readable storage medium is provided, in which at least one program code is stored. The at least one program code is loaded and executed by a processor to implement any of the above-mentioned detection system construction methods.

[0057] On the other hand, a computer program product is provided, wherein at least one program code is stored in the computer program product, and the at least one program code is loaded and executed by a processor to implement any of the above-mentioned detection system construction methods.

[0058] The present application provides a method for constructing a testing system. This method first determines a risky parts list and a risky materials list, and then performs SVHC testing, restricted substances testing, and GADSL testing on the risky materials in the risky materials list. This method uses the risky parts list and the risky materials list to screen out high-risk materials in a vehicle—that is, materials whose content may exceed the standard—and then tests these high-risk materials without having to test all materials in the vehicle. This allows the detection of high-risk substances in the vehicle while significantly narrowing the detection scope and improving detection efficiency.

[0059] It should be understood that the foregoing general description and the following detailed description are exemplary only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 Schematic diagram of an implementation environment of a detection system construction method provided in an embodiment of the present application;

[0061] Figure 2 This is a flow chart of a method for constructing a detection system provided in an embodiment of the present application;

[0062] Figure 3 This is a flow chart of another method for constructing a detection system provided in an embodiment of the present application;

[0063] Figure 4 This is a schematic diagram of determining a risky parts list and a risky materials list provided in an embodiment of the present application;

[0064] Figure 5 This is a schematic diagram of an inorganic material test provided in an embodiment of the present application;

[0065] Figure 6 is a schematic diagram of an organic material test provided in an embodiment of the present application;

[0066] Figure 7 This is a schematic diagram of the structure of a detection system construction device provided in an embodiment of the present application;

[0067] Figure 8 This is a structural block diagram of a terminal provided in an embodiment of the present application;

[0068] Figure 9 This is a structural block diagram of a server provided in an embodiment of the present application. DETAILED DESCRIPTION

[0069] In order to make the technical solutions and advantages of the present application clearer, the implementation methods of the present application are described in further detail below.

[0070] The terms "first," "second," "third," and "fourth," etc. in the specification and claims of this application and the accompanying drawings are used to distinguish different objects, not to describe a specific order. In addition, the terms "including" and "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements, but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or apparatus.

[0071] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, storage, and display, etc.), and signals involved in this application are all authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data must comply with the relevant laws, regulations, and standards of the relevant countries and regions. For example, the vehicle material data involved in this application was obtained with full authorization.

[0072] Figure 1 This is a schematic diagram of an implementation environment of a detection system construction method provided in an embodiment of the present application, see Figure 1 The implementation environment includes: electronic devices, which can be provided as a terminal 101 and a server 102. The terminal 101 and the server 102 can be connected via a wireless or wired network. In the embodiments of the present application, the electronic devices are not specifically limited.

[0073] The terminal 101 has a target application installed thereon, and the target application is used to construct a detection system. The server 102 is a background server of the target application, and is used to provide background services for the target application.

[0074] The terminal 101 is at least one of a mobile phone, a tablet computer, a PC (Personal Computer), an intelligent voice interaction device, and an in-vehicle terminal. The server 102 can be at least one of a single server, a server cluster consisting of multiple servers, a cloud server, a cloud computing platform, and a virtualization center.

[0075] Figure 2 This is a flow chart of a method for constructing a detection system provided in an embodiment of the present application, which is executed by an electronic device. The method includes:

[0076] Step 201: The electronic device determines a risk component list based on component information of multiple components obtained by disassembling the entire vehicle.

[0077] The risk parts list includes parts information of multiple risk parts.

[0078] Step 202: For each risk component, the electronic device determines material information of multiple component materials obtained after the risk component is split.

[0079] Step 203: The electronic device determines a risk material list based on the material information of the plurality of component materials corresponding to the plurality of risk components.

[0080] The risk material list includes material information of a plurality of risk materials corresponding to a plurality of risk components.

[0081] Step 204: Based on the risk material list, the electronic device performs SVHC testing, restricted substance testing, and GADSL testing on the risk materials corresponding to the risk components.

[0082] Electronic equipment can use testing instruments to conduct SVHC (Substances of Very High Concern) testing, restricted substance testing, and GADSL (Global Automotive Declarable Substance List) testing on multiple risk materials corresponding to multiple risk components.

[0083] The present application provides a method for constructing a testing system. This method first determines a risky parts list and a risky materials list, and then performs SVHC testing, restricted substances testing, and GADSL testing on the risky materials in the risky materials list. This method uses the risky parts list and the risky materials list to screen out high-risk materials in a vehicle—that is, materials whose content may exceed the standard—and then tests these high-risk materials without having to test all materials in the vehicle. This allows the detection of high-risk substances in the vehicle while significantly narrowing the detection scope and improving detection efficiency.

[0084] Figure 3 This is a flow chart of a method for constructing a detection system provided in an embodiment of the present application, which is executed by an electronic device, see Figure 3 , the method comprising:

[0085] Step 301: The electronic device determines a risk component list based on component information of multiple components obtained by disassembling the entire vehicle.

[0086] The risk parts list includes the parts information of multiple risk parts. Risk parts refer to parts that may contain high-risk substances such as hazardous substances, restricted substances or controlled substances. The parts information includes at least one of the part's name, identification, vehicle identification, and installation location in the vehicle.

[0087] The entire vehicle in this step may be a vehicle of the same model or a vehicle of a different model, and there is no specific limitation on this.

[0088] After the whole vehicle is disassembled, multiple parts are obtained. For each part, the electronic equipment performs material risk analysis and vehicle material data risk analysis on the part to determine the risk level of the part; if the risk level of the part indicates that the part is a risky part, the part information of the part is added to the risk part list.

[0089] Among them, the electronic equipment obtains the vehicle material data (MDS data) provided by the supplier, and based on the material composition and usage of the parts in the vehicle material data, performs material risk analysis and vehicle material data risk analysis on the parts to determine whether there are high-risk substances in the parts. If there may be high-risk substances in the part, the risk level of the part is determined to be a high-risk level; if there are no high-risk substances in the part, the risk level of the part is determined to be a low-risk level. Therefore, if the risk level of the part is a high-risk level, it means that the part is a risk part; if the risk level of the part is a low-risk level, it means that the part is not a risk part. In the case where the risk level of the part indicates that the part is a risk part, the part information of the part is added to the risk part list. See Figure 4 , Figure 4 Schematic diagram for determining the risk parts list.

[0090] Step 302: For each risk component, the electronic device determines material information of multiple component materials obtained after the risk component is split.

[0091] For each risk component, which is composed of multiple component materials, the electronic device can separate the risk component based on its composition to obtain multiple component materials and determine the material information of each component material. The material information of each component material includes at least one of the component material name, the component material identification, the supplier, the corresponding component name, and the corresponding component identification.

[0092] Step 303: The electronic device determines a risk material list based on the material information of the plurality of component materials corresponding to the plurality of risk components.

[0093] The risk material list includes material information of multiple risk materials corresponding to multiple risk components. Risk materials refer to component materials that may contain high-risk substances.

[0094] For each component material corresponding to each risky component, the electronic device analyzes the component material's usage, domestic manufacturing and sales data, historical inspection data, vehicle material data, etc. based on the material information of the component material, and determines whether the component material is a risky material based on the analysis results.

[0095] Electronic devices can assess the potential health risks of component materials to users by analyzing their intended use. For example, if a component material is used in coatings, adhesives, or other applications, and long-term contact with the human body could pose a health hazard to the user, the component material may be considered a risk material.

[0096] By obtaining domestic manufacturing and sales data of component materials, electronic equipment can evaluate the usage of the component materials and whether the component materials are widely used, thereby identifying potential risk materials.

[0097] By analyzing the historical test data of the component material, the electronic device can determine the historical test content of the component material. If the historical test content exceeds the standard or is close to the exceeding standard threshold, the component material may be a risky material.

[0098] The electronic device analyzes the vehicle material data to determine whether the components and materials corresponding to high-risk substances in the vehicle material data include the component material. If the component material is included, the component material may be a risky material.

[0099] Based on the analysis results, if the electronic equipment determines that the component material is a risk material or may be a risk material, the material information of the component material will be added to the risk material list. Figure 4 .

[0100] Step 304: The electronic device performs SVHC testing on the risk materials corresponding to the risk components based on the risk material list.

[0101] SVHC testing is a chemical safety assessment of substances of very high concern as defined in the REACH regulation. Its purpose is to ensure that products do not contain restricted ingredients that may harm health or the environment.

[0102] This step can be achieved by following the steps (1) to (2), including:

[0103] (1) For each risk component, the electronic device takes the risk component as a unit and divides the multiple risk materials corresponding to the risk component into metal materials and non-metal materials according to the material.

[0104] Electronic equipment is divided into metal and non-metal materials according to the risk materials corresponding to the risk components.

[0105] (2) For electronic equipment, metal materials shall be tested for metal items in the SVHC list, and non-metal materials shall be tested for non-metal items in the SVHC list.

[0106] The SVHC list includes metal items and non-metal items. Electronic equipment uses testing instruments to test metal materials for metal items in the SVHC list and to test non-metal materials for non-metal items in the SVHC list.

[0107] For metal materials, electronic devices can divide the metal materials into multiple homogeneous metal materials, and divide the multiple homogeneous metal materials into at least one group of metal materials based on a preset number. Each group of metal materials is sampled, digested, and volume-controlled, and the content of each group of metal materials is measured using a detection instrument such as an inductively coupled plasma spectrometer (ICP-OES), an atomic absorption spectrometer (AAS), or an ultraviolet visible spectrophotometer (UV-Vis).

[0108] Homogeneous metal materials refer to materials with consistent chemical composition or a single metal element, or materials composed of multiple materials that cannot be separated into different metal forms by mechanical means, such as pure iron, pure copper, copper alloys, and aluminum alloys.

[0109] For example, metal materials include copper alloys and aluminum alloys, and copper alloys include multiple types of copper alloys, and aluminum alloys include multiple types of aluminum alloys. The electronic device can divide the multiple types of copper alloys into one group and the multiple types of aluminum alloys into one group without exceeding a preset number, sample, digest, and set the volume of each group of copper alloys, sample, digest, and set the volume of each group of aluminum alloys, and detect the content of each group of copper alloys and each group of aluminum alloys by ICP-OES or AAS.

[0110] The preset number can be set and changed as needed and is not specifically limited thereto. For example, the preset number may be 10, 15, 20, etc.

[0111] For any group of metal materials, if the content of the group of metal materials is greater than a preset threshold, each uniform metal material in the group of metal materials is tested by the above-mentioned testing instrument; based on the test results, the risk metal material is determined.

[0112] For example, if the content of the aluminum alloy group detected is greater than a preset threshold, each type of aluminum alloy in the group is tested using a testing instrument, and the type of aluminum alloy with excessive content is determined based on the test results, and the aluminum alloy with excessive content is identified as a risky metal material.

[0113] For non-metallic materials, electronic devices can be implemented through the following steps (1) to (3), including:

[0114] (1) Electronic equipment divides non-metallic materials into inorganic and organic parts.

[0115] Non-metallic materials can be divided into inorganic non-metallic materials and organic materials. Based on this, electronic devices divide non-metallic materials into inorganic and organic parts. The inorganic part includes multiple uniform inorganic materials, and the organic part includes multiple uniform organic materials.

[0116] Among them, homogeneous inorganic materials refer to inorganic materials composed of a single inorganic component or a highly uniformly distributed chemical component, and cannot be separated into different materials by conventional mechanical means (such as cutting and grinding). Such as glass, pure ceramics, composite ceramics, etc. Homogeneous organic materials refer to organic materials composed of a single organic component or a uniformly distributed organic polymer compound, and cannot be physically separated into different materials. Such as polypropylene, polyethylene, etc.

[0117] (2) The electronic device divides the plurality of uniform inorganic materials into at least one group of inorganic materials based on a preset number, and measures the content of each group of inorganic materials using a first detection instrument.

[0118] If the number of the plurality of uniform inorganic materials does not exceed the preset number, the electronic device directly groups the plurality of uniform inorganic materials into one group. If the number of the plurality of uniform inorganic materials exceeds the preset number, the electronic device groups the preset number of uniform inorganic materials into one group to obtain multiple groups of inorganic materials.

[0119] For each group of inorganic materials, sampling is performed, and a suitable acid solution is selected to digest and fix the sample under conditions of heating on a hot plate or microwave. Then, the content of SVHC in each group of inorganic materials is measured by the first detection instrument.

[0120] The first detection instrument can be set and changed as needed. For example, the first detection instrument is ICP-OES, AAS or UV-Vis.

[0121] It should be noted that when measuring the content of SVHCs in each group of inorganic materials by ICP-OES, the content of the characteristic elements in the group of inorganic materials is measured. The content of the corresponding compound is obtained by dividing the test result by the conversion factor. The conversion factor is the proportion of the characteristic element in the compound. Figure 5 , Figure 5 Schematic diagram of measuring inorganic materials by ICP-OES.

[0122] For the target group of inorganic materials, if the content of the target group of inorganic materials is greater than a preset threshold, each uniform inorganic material in the target group of inorganic materials is tested by a first testing instrument; based on the first test result, the risky inorganic material is determined, and the target group of inorganic materials is any group of inorganic materials.

[0123] If the content of any group of inorganic materials exceeds the standard, each uniform inorganic material in the group of inorganic materials is tested by a first testing instrument to further identify the uniform inorganic material with the content exceeding the standard, and determine the uniform inorganic material as a risky inorganic material.

[0124] (3) The electronic device divides the plurality of uniform organic materials into at least one group of organic materials based on a preset number, and measures the content of each group of organic materials using a second detection instrument.

[0125] If the number of the plurality of uniform organic materials does not exceed the preset number, the electronic device directly groups the plurality of uniform organic materials into one group. If the number of the plurality of uniform organic materials exceeds the preset number, the electronic device groups the preset number of uniform organic materials into one group to obtain multiple groups of organic materials.

[0126] For each group of organic materials, sampling, weighing, ultrasonic extraction, and then taking the extract through a second testing instrument to measure the SVHC content in each group of organic materials.

[0127] The second detection instrument can be set and modified as needed, for example, the second detection instrument is a gas chromatography-mass spectrometry (GC-MS), a high performance liquid chromatography-diode array detector (HPLC-DAD) or a high performance liquid chromatography-mass spectrometry (HPLC-MS). Figure 6 , Figure 6 Schematic diagram of organic material testing.

[0128] See Table 1, which lists several extraction solvents and corresponding test methods.

[0129] Table 1

[0130] Extraction solvent Test Method Hex:DCM:MeOH GC-MS MeOH HPLC-DAD / HPLC-MS <![CDATA[MeOH:H2O]]> HPLC-DAD EA:DMSO HPLC-DAD

[0131] The extraction solvents in Table 1 are mixed solvents, and the mixing ratio of the mixed solvents can be set and changed as needed, and there is no specific limitation on this.

[0132] For the target group of organic materials, if the content of the target group of organic materials is greater than a preset threshold, each uniform organic material in the target group of organic materials is tested by a second testing instrument; based on the second test results, the risky organic materials are determined, and the target group of organic materials is any group of organic materials.

[0133] If the content of any group of organic materials exceeds the standard, each uniform organic material in the group of organic materials is tested by a second testing instrument to further identify the uniform organic material with the content exceeding the standard, and determine the uniform organic material as a risky organic material.

[0134] The preset threshold can be determined based on the maximum content of SVHCs in the REACH Regulation. For example, if the maximum content of SVHCs is 0.1%, the preset threshold is 0.1%. The preset threshold can also be lower than the maximum content of SVHCs, for example, the preset threshold is 0.09%, and there is no specific limitation on this.

[0135] In practical applications, the above method can be used to test both organic and inorganic materials. Of course, other testing methods are also possible. For example, the total amount of hexavalent chromium can be tested using UV-Vis spectroscopy in accordance with ISO 17075 and IEC 62321 methods. Another example is the incineration method and microscopic observation to determine the quality of ceramic fibers. Another example is the water extraction method and ICP-OES to test the boron content. The test result is divided by a conversion factor to obtain the boron compound content. The conversion factor is the ratio of boron to the boron compound.

[0136] Step 305: The electronic device performs restricted substance detection on a plurality of risk materials corresponding to each of a plurality of risk components based on the risk material list.

[0137] Restricted substances are substances listed in the Restriction List (ANNEX XVII), which is a list of restricted substances specified in the REACH Regulation, including substances that are prohibited or restricted in use.

[0138] For each risk component, the electronic device divides the multiple risk materials corresponding to the risk component into multiple homogeneous materials based on the risk component; removes restricted substances that are not related to automotive products from the restricted list to obtain target restricted substances, which are restricted substances related to automotive products; determines the material and function of the target restricted substance; determines the target homogeneous material that is related to the material and function of the target restricted substance from the multiple homogeneous materials, and tests the target homogeneous material.

[0139] In this implementation, the electronic device divides the multiple risk materials corresponding to the risk component into multiple uniform materials, where the multiple uniform materials include uniform inorganic materials and uniform organic materials.

[0140] The restricted list includes restricted substances related to automotive products and restricted substances not related to automotive products. Restricted substances not related to automotive products are removed from the restricted list, such as restricted substances that are only controlled substances / preparations, restricted substances with uses not related to automotive products, restricted substances that are exempted from automotive products, etc., to obtain restricted substances related to automotive products, namely target restricted substances. The number of target restricted substances can be one or more, and there is no specific limit on this.

[0141] The materials of target restricted substances generally include metal and non-metal materials. The function of the target restricted substance refers to the purpose of the target restricted substance, such as which parts of the car it is used in.

[0142] The electronic device determines a target homogeneous material related to the material and function of the target restricted substance from a plurality of homogeneous materials, and detects the target homogeneous material through a detection instrument.

[0143] The number of target uniform materials can be one or more. Furthermore, the target uniform material can be either an inorganic material or an organic material. If there are multiple target uniform materials, the electronic device detects restricted substances in each target uniform material using a corresponding detection instrument based on the type of the target uniform material.

[0144] For example, if the target uniform material is an inorganic material, the electronic device may detect the target uniform material using the detection method in (2) in step 304. If the target uniform material is an organic material, the electronic device may detect the target uniform material using the detection method in (3) in step 304. The specific detection process is described in (2) and (3) in step 304, and will not be repeated here.

[0145] One thing that needs to be explained is that, judging from the provisions of the restriction list, the vast majority of restricted substances need to be judged on homogeneous materials rather than the entire finished product, which is different from the SVHC test.

[0146] Step 306: The electronic device performs GADSL testing on the risk materials corresponding to the risk components based on the risk material list.

[0147] GASDL consolidates regulatory requirements from different regions into a single list, providing a unified standard for the disclosure and transmission of chemical information within the automotive supply chain. It is an effective means for automakers to achieve sustainable supply chain management and anticipate compliance risks. While GADSL compliance is a voluntary industry initiative, it has become a self-assessment standard for global automotive manufacturing, providing direct and comprehensive guidance for the control of high-risk substances and the use of safe materials in vehicles.

[0148] In this step, the electronic device first determines the banned substances in the GADSL; for each risk component, based on the banned substances, multiple risk materials corresponding to the risk component are tested, taking the risk component as a unit.

[0149] In this implementation, the electronic device may divide the multiple risk materials corresponding to the risk component into multiple uniform materials, and perform a detection on each uniform material for prohibited substances using a detection instrument.

[0150] If the uniform material is an inorganic material, the electronic device can detect the uniform material using the detection method in (2) in step 304. If the type of the uniform material is an organic material, the electronic device can detect the target uniform material using the detection method in (3) in step 304. The specific detection process is respectively referred to in (2) and (3) in step 304, which will not be repeated here.

[0151] It's important to note that the aforementioned testing methods are used to examine the risk materials corresponding to mid-risk automotive parts to determine whether they contain high-risk substances. Because regulations lack clear testing standards or methods, in-house laboratory methods are often the only options. This testing method is more suitable for automotive companies with limited infrastructure, allowing them to assess product compliance and accumulate data for future use in subsequent models. It's also suitable for automotive companies with better control over their suppliers, allowing them to conduct testing throughout the supply chain, with each supplier assuming the responsibility and expense of testing the parts they supply and submitting qualified test reports.

[0152] In addition, the execution order of steps 304, 305 and 306 can be adjusted. Steps 304 to 306 can be executed in sequence in the above order, or step 304 can be executed first, then step 306, and finally step 305, or step 305 can be executed first, then step 306, and finally step 304. There is no specific limitation on this order.

[0153] In an embodiment of the present application, the electronic device can construct a material database based on the third test result and the material data of the whole vehicle, wherein the third test result is the test result of the risk material corresponding to each of the multiple risk components, and the third test result includes the SVHC test result, the restricted substance test result, and the GADSL test result; the material database is cross-analyzed with the pre-constructed hazardous substance database to generate a first assessment report, wherein the hazardous substance database includes multiple hazardous substances, and the first assessment report is used to display the target risk material, the risk component to which the target risk material belongs, the hazardous substances in the target risk material, and the source of the target risk material, wherein the target risk material is a risk material with an excessive content. Among them, the target risk material can be a risk inorganic material or a risk organic material with an excessive content in the SVHC test, a risk material with an excessive content of a restricted substance, or a risk material with an excessive content of a banned substance, without specific limitation.

[0154] In this implementation, vehicle material data includes component material composition, usage, and supplier information. The electronic device can first construct a new database, then organize the vehicle material data and the third test results by component, determine the content of each risky material for each risky component, and then store the risky components, risky materials, risky material content, and supplier information in the database, forming a material database. Targeted risky materials can be specially marked or highlighted.

[0155] The electronic device can also add a hazardous substance identifier for the target risk material in the material database, thereby associating the target risk material with the hazardous substance.

[0156] Electronic devices can pre-store regulated hazardous substances and their identifiers in a hazardous substance database. Cross-analysis can then be performed between the material database and the hazardous substance database to determine the hazardous substances corresponding to the target risk material. A first assessment report is generated based on the target risk material, the hazardous substances in the target risk material, the risky components to which the target risk material belongs, and the source of the target risk material. The source of the risk material refers to the supplier of the risk material.

[0157] In the embodiment of the present application, the first evaluation report is a comprehensive and traceable evaluation report, which is conducive to automobile companies taking corresponding measures based on the test results. This method has relatively low costs and relatively controllable risks, and has a certain degree of sorting and confirmation of the vehicle compliance process, and is also easily accepted by relevant departments. However, companies must be familiar with laws and regulations and have a certain supply chain management foundation, and need to form a set of logically self-consistent evaluation processes and evaluation bases. This evaluation report is suitable for most automobile companies and is currently the more recommended cost-effective form of compliance.

[0158] It should be noted that if the multiple parts obtained by disassembly in step 301 are multiple parts obtained by disassembling a whole vehicle of a certain model, the electronic device can also determine the target parts to which the target risk materials belong based on the third test results and the risk material list, where the target risk materials are risk materials with excessive content, and the third test results are the test results of the multiple risk materials corresponding to the multiple risk parts, and the third test results include SVHC test results, restricted substance test results, and GADSL test results; based on the target risk parts and target risk materials, a second assessment report is generated, and the second assessment report is used to display treatment recommendations for the target risk parts and target risk materials.

[0159] In this implementation, the electronic device determines the target risk material with an excessive content based on the third test result, determines the target risk component corresponding to the target risk material based on the risk material list, and generates a second assessment report based on the target risk material and the target risk component.

[0160] The recommended treatment for target risk materials in target risk parts and components can be notification, rectification, or other suggestions, without specific restrictions. For example, if a target risk material contains SVHC, the recommended treatment may be notification; if a target risk material contains a banned substance, the recommended treatment may be rectification, i.e., replacing the target risk material with another material.

[0161] The second assessment report can also display the source of the target risk material to facilitate material traceability.

[0162] Another point that needs to be explained is that it is impossible to fully dismantle and test the entire vehicle for compliance. The most effective way to ensure vehicle compliance is to form a complete vehicle assessment report, also known as the second assessment report, and to display rectification, notification and other measures in the second assessment report.

[0163] Judging from the regulatory focus of items circulating in the market in recent years, the intensity of spot checks on items that are directly exposed to the human body and items that are in direct or long-term contact with the human body is relatively high. In addition, the supervision is mainly concentrated on several types of substances with wide applications and high concerns, such as o-phthalate plasticizers, halogenated flame retardants, heavy metals, short-chain chlorinated paraffins, etc. Therefore, the detection method provided in this application can also be used to detect the following types of parts that require special attention. The parts that require special attention mainly include: (1) exposed parts; (2) new supply chain products; (3) parts that contain controlled substances in the MDS and exceed the threshold; (4) parts reported by relevant markets / countries; (5) parts analyzed by large databases.

[0164] The present application provides a method for constructing a testing system. This method first determines a risky parts list and a risky materials list, and then performs SVHC testing, restricted substances testing, and GADSL testing on the risky materials in the risky materials list. This method uses the risky parts list and the risky materials list to screen out high-risk materials in a vehicle—that is, materials whose content may exceed the standard—and then tests these high-risk materials without having to test all materials in the vehicle. This allows the detection of high-risk substances in the vehicle while significantly narrowing the detection scope and improving detection efficiency.

[0165] In addition, it can also drive the development and application of environmentally friendly materials in the automotive industry, cultivate the automotive supply chain's ability to respond to global regulations, and improve the protection of the health of drivers and passengers.

[0166] Figure 7This is a schematic diagram of a detection system construction device provided in an embodiment of the present application, see Figure 7 , the device comprises:

[0167] A first determining module 701 is configured to determine a risky parts list based on the parts information of multiple parts obtained by disassembling the entire vehicle, where the risky parts list includes the parts information of multiple risky parts;

[0168] The second determining module 702 is configured to determine, for each risk component, material information of multiple component materials obtained after the risk component is split;

[0169] A third determining module 703 is configured to determine a risk material list based on the material information of the plurality of component materials corresponding to the plurality of risk components, wherein the risk material list includes the material information of the plurality of risk materials corresponding to the plurality of risk components;

[0170] The detection module 704 is used to perform SVHC detection, restricted substance detection and Global Automotive Declarable Substance List (GADSL) detection on multiple risk materials corresponding to multiple risk components based on the risk material list.

[0171] In one possible implementation, the first determination module 701 is used to perform material risk analysis and vehicle material data risk analysis on each component to determine the risk level of the component; if the risk level of the component indicates that the component is a risky component, the component information of the component is added to the risk component list.

[0172] In another possible implementation, the detection module 704 is used to divide the multiple risk materials corresponding to each risk component into metal materials and non-metal materials according to the material, taking the risk component as a unit; perform a metal item detection on the metal material in the SVHC list, and perform a non-metal item detection on the non-metal material in the SVHC list.

[0173] In another possible implementation, the detection module 704 is used to divide the non-metallic material into an inorganic part and an organic part, the inorganic part includes a plurality of uniform inorganic materials, and the organic part includes a plurality of uniform organic materials; divide the plurality of uniform inorganic materials into at least one group of inorganic materials based on a preset number, and measure the content of each group of inorganic materials by a first detection instrument; divide the plurality of uniform organic materials into at least one group of organic materials based on a preset number, and measure the content of each group of organic materials by a second detection instrument.

[0174] In another possible implementation, the apparatus further includes:

[0175] a fourth determination module configured to, for a target group of inorganic materials, if the content of the target group of inorganic materials is greater than a preset threshold, test each uniform inorganic material in the target group of inorganic materials using a first testing instrument; and determine a risky inorganic material based on the first test result; the target group of inorganic materials being any group of inorganic materials;

[0176] The fifth determination module is used to detect each uniform organic material in the target group of organic materials using a second detection instrument if the content of the target group of organic materials is greater than a preset threshold; based on the second detection result, determine the risky organic material; the target group of organic materials is any group of organic materials.

[0177] In another possible implementation, the detection module 704 is configured to, for each risk component, divide multiple risk materials corresponding to the risk component into multiple homogeneous materials, taking the risk component as a unit; eliminate restricted substances not related to automotive products from the restriction list to obtain target restricted substances, where the target restricted substances are restricted substances related to automotive products; determine the material and function of the target restricted substance; determine the target homogeneous material related to the material and function of the target restricted substance from the multiple homogeneous materials, and detect the target homogeneous material.

[0178] In another possible implementation, the detection module 704 is configured to determine banned substances in the GADSL; for each risk component, based on the banned substances, multiple risk materials corresponding to the risk component are detected.

[0179] In another possible implementation, the apparatus further includes:

[0180] A construction module is configured to construct a material database based on a third test result and vehicle material data, wherein the third test result is a test result of a plurality of risk materials corresponding to each of the plurality of risk components, and the third test result includes an SVHC test result, a restricted substance test result, and a GADSL test result;

[0181] The first generation module is used to cross-analyze the material database with the pre-built hazardous substance database to generate a first assessment report. The hazardous substance database includes multiple hazardous substances. The first assessment report is used to display the target risk materials, the risk components to which the target risk materials belong, the hazardous substances in the target risk materials, and the sources of the target risk materials. The target risk materials are risk materials with excessive content.

[0182] In another possible implementation, the apparatus further includes:

[0183] A fifth determination module is configured to determine, based on the third test result and the risk material list, a target risk component to which the target risk material belongs, where the target risk material is a risk material with an excessive content, and the third test result is a test result of multiple risk materials corresponding to each of the multiple risk components, and the third test result includes an SVHC test result, a restricted substance test result, and a GADSL test result;

[0184] The second generation module is used to generate a second assessment report based on the target risk components and target risk materials, and the second assessment report is used to display treatment suggestions for the target risk components and target risk materials.

[0185] The embodiments of the present application provide a detection system construction device that first determines a risky parts list and a risky materials list, and then performs SVHC testing, restricted substances testing, and GADSL testing on the risky materials in the risky materials list. Thus, the device uses the risky parts list and the risky materials list to screen out high-risk materials in the vehicle, i.e., materials whose content may exceed the standard, and then tests the high-risk materials without having to test all materials in the vehicle. This allows the detection of high-risk substances in the vehicle while significantly narrowing the detection scope and improving detection efficiency.

[0186] refer to Figure 8 , Figure 8 The following is a block diagram of a terminal 800 according to an exemplary embodiment of the present application. Terminal 800 may be a portable mobile terminal, such as a smartphone, tablet computer, MP3 player (Moving Picture Experts Group Audio Layer III), MP4 player (Moving Picture Experts Group Audio Layer IV), laptop computer, or desktop computer. Terminal 800 may also be referred to as user equipment, portable terminal, laptop terminal, desktop terminal, or other similar names.

[0187] Typically, the terminal 800 includes a processor 801 and a memory 802 .

[0188] The processor 801 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 801 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), or PLA (Programmable Logic Array). The processor 801 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 801 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 801 may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0189] The memory 802 may include one or more computer-readable storage media, which may be non-transitory. The memory 802 may also include high-speed random access memory, and non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 802 is used to store at least one program code, which is used to be executed by the processor 801 to implement the operation performed by the terminal in the detection system construction method provided in the method embodiment of the present application.

[0190] In some embodiments, terminal 800 may optionally include a peripheral device interface 803 and at least one peripheral device. The processor 801, memory 802, and peripheral device interface 803 may be connected via a bus or signal lines. Each peripheral device may be connected to peripheral device interface 803 via a bus, signal lines, or circuit boards. Specifically, the peripheral device may include at least one of a radio frequency circuit 804, a display screen 805, a camera assembly 806, an audio circuit 807, and a power supply 808.

[0191] The peripheral device interface 803 can be used to connect at least one I / O (Input / Output)-related peripheral device to the processor 801 and the memory 802. In some embodiments, the processor 801, the memory 802, and the peripheral device interface 803 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 801, the memory 802, and the peripheral device interface 803 can be implemented on separate chips or circuit boards, which is not limited in this embodiment.

[0192] The radio frequency circuit 804 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 804 communicates with communication networks and other communication devices via electromagnetic signals. The radio frequency circuit 804 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals into electrical signals. Optionally, the radio frequency circuit 804 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a user identity module card, etc. The radio frequency circuit 804 can communicate with other terminals via at least one wireless communication protocol. Such wireless communication protocols include, but are not limited to, the World Wide Web, a metropolitan area network, an intranet, various generations of mobile communication networks (2G, 3G, 4G, and 5G), a wireless local area network, and / or a WiFi (Wireless Fidelity) network. In some embodiments, the radio frequency circuit 804 may also include circuits related to NFC (Near Field Communication), which is not limited in this application.

[0193] Display screen 805 is used to display a user interface (UI). This UI may include graphics, text, icons, videos, or any combination thereof. When display screen 805 is a touchscreen display, it is also capable of collecting touch signals on or above the surface of display screen 805. These touch signals can be input as control signals to processor 801 for processing. Display screen 805 can also be used to provide virtual buttons and / or a virtual keyboard, also known as soft buttons and / or a soft keyboard. In some embodiments, there can be one display screen 805, located on the front panel of terminal 800. In other embodiments, there can be at least two display screens 805, located on different surfaces of terminal 800 or in a foldable design. In still other embodiments, display screen 805 can be a flexible display, located on a curved or foldable surface of terminal 800. Display screen 805 can also be configured as a non-rectangular, irregular shape, also known as a special-shaped screen. Display screen 805 can be made of materials such as LCD (Liquid Crystal Display) and OLED (Organic Light-Emitting Diode).

[0194] The camera assembly 806 is used to capture images or videos. Optionally, the camera assembly 806 includes a front camera and a rear camera. Typically, the front camera is arranged on the front panel of the terminal, and the rear camera is arranged on the back of the terminal. In some embodiments, there are at least two rear cameras, which are any one of a main camera, a depth of field camera, a wide-angle camera, and a telephoto camera, so as to realize the fusion of the main camera and the depth of field camera to realize the background blur function, the fusion of the main camera and the wide-angle camera to realize panoramic shooting and VR (Virtual Reality) shooting function or other fusion shooting functions. In some embodiments, the camera assembly 806 may also include a flash. The flash can be a monochrome temperature flash or a dual-color temperature flash. A dual-color temperature flash refers to a combination of a warm light flash and a cold light flash, which can be used for light compensation at different color temperatures.

[0195] The audio circuit 807 may include a microphone and a speaker. The microphone is used to collect sound waves from the user and the environment, and convert the sound waves into electrical signals that are input into the processor 801 for processing, or input into the radio frequency circuit 804 to achieve voice communication. For the purpose of stereo sound collection or noise reduction, there may be multiple microphones, each located in different parts of the terminal 800. The microphone may also be an array microphone or an omnidirectional collection microphone. The speaker is used to convert electrical signals from the processor 801 or the radio frequency circuit 804 into sound waves. The speaker may be a traditional thin film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can not only convert electrical signals into sound waves audible to humans, but also convert electrical signals into sound waves inaudible to humans for purposes such as ranging. In some embodiments, the audio circuit 807 may also include a headphone jack.

[0196] Power supply 808 is used to power various components in terminal 800. Power supply 808 can be AC ​​power, DC power, a disposable battery, or a rechargeable battery. When power supply 808 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is charged via a wired line, while a wireless rechargeable battery is charged via a wireless coil. The rechargeable battery can also support fast charging technology.

[0197] In some embodiments, the terminal 800 further includes one or more sensors 809 , including but not limited to: an acceleration sensor 810 , a gyroscope sensor 811 , a pressure sensor 812 , an optical sensor 813 , and a proximity sensor 814 .

[0198] The accelerometer 810 can detect the magnitude of acceleration along the three coordinate axes of the coordinate system established by the terminal 800. For example, the accelerometer 810 can be used to detect the components of gravity acceleration along the three coordinate axes. The processor 801 can control the display screen 805 to display the user interface in a landscape or portrait view based on the gravity acceleration signal collected by the accelerometer 810. The accelerometer 810 can also be used to collect game or user motion data.

[0199] The gyroscope sensor 811 can detect the orientation and rotation angle of the terminal 800. It can also work with the accelerometer 810 to collect the user's 3D movements of the terminal 800. Based on the data collected by the gyroscope sensor 811, the processor 801 can implement the following functions: motion sensing (such as changing the UI based on the user's tilt operation), image stabilization during shooting, game control, and inertial navigation.

[0200] The pressure sensor 812 can be provided on the side frame of the terminal 800 and / or below the display screen 805. When the pressure sensor 812 is provided on the side frame of the terminal 800, it can detect the user's gripping signal of the terminal 800. The processor 801 performs left and right hand recognition or shortcut operations based on the gripping signal collected by the pressure sensor 812. When the pressure sensor 812 is provided below the display screen 805, the processor 801 controls the operable controls on the UI interface based on the user's pressure operation on the display screen 805. Operable controls include at least one of a button control, a scroll bar control, an icon control, and a menu control.

[0201] The optical sensor 813 is used to detect ambient light intensity. In one embodiment, the processor 801 can control the display brightness of the display screen 805 based on the ambient light intensity detected by the optical sensor 813. Specifically, when the ambient light intensity is high, the display brightness of the display screen 805 is increased; when the ambient light intensity is low, the display brightness of the display screen 805 is decreased. In another embodiment, the processor 801 can also dynamically adjust the shooting parameters of the camera assembly 806 based on the ambient light intensity detected by the optical sensor 813.

[0202] Proximity sensor 814, also known as a distance sensor, is typically located on the front panel of terminal 800. Proximity sensor 814 is used to detect the distance between the user and the front of terminal 800. In one embodiment, when proximity sensor 814 detects that the distance between the user and the front of terminal 800 is gradually decreasing, processor 801 controls display screen 805 to switch from the screen-on state to the screen-off state. When proximity sensor 814 detects that the distance between the user and the front of terminal 800 is gradually increasing, processor 801 controls display screen 805 to switch from the screen-off state to the screen-on state.

[0203] Those skilled in the art will understand that Figure 8 The structure shown in the figure does not constitute a limitation on the terminal 800, and the terminal 800 may include more or fewer components than shown in the figure, or combine certain components, or adopt a different component arrangement.

[0204] The server structure diagram can be found in Figure 9The server 900 may vary significantly due to different configurations or performances, and may include a processor (Central Processing Units, CPU) 901 and a memory 902. The memory 902 stores at least one program code, which is loaded and executed by the processor 901 to implement the operations performed by the server in the above-mentioned detection system construction method. Of course, the server 900 may also have components such as a wired or wireless network interface, a keyboard, and an input / output interface for input and output. The server 900 may also include other components for implementing device functions, which will not be described in detail here.

[0205] In an exemplary embodiment, a computer-readable storage medium is further provided. The computer-readable medium stores at least one program code, and the at least one program code is loaded and executed by a processor to implement the detection system construction method in the above embodiment.

[0206] In an exemplary embodiment, a computer program product is further provided. The computer program product stores at least one program code, and the at least one program code is loaded and executed by a processor to implement the detection system construction method in the above embodiment.

[0207] Those skilled in the art will understand that all or part of the steps of implementing the above embodiments may be accomplished by hardware, or may be accomplished by a program instructing the relevant hardware, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a disk or an optical disk, etc.

[0208] The above description is only for the purpose of facilitating those skilled in the art to understand the technical solution of this application and is not intended to limit this application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of this application shall be included in the scope of protection of this application.

Claims

1. A method for constructing a detection system, characterized in that: The method comprises: Determining a risk parts list based on parts information of multiple parts obtained by disassembling the entire vehicle, wherein the risk parts list includes parts information of multiple risk parts; For each risk component, determine the material information of multiple component materials obtained after the risk component is split; Determining a risk material list based on material information of a plurality of component materials corresponding to each of the plurality of risk components, the risk material list including material information of a plurality of risk materials corresponding to each of the plurality of risk components; Based on the risk material list, SVHC testing, restricted substance testing and Global Automotive Declarable Substance List (GADSL) testing are performed on the risk materials corresponding to each of the risk components.

2. The method according to claim 1, characterized in that The risk parts list is determined based on the parts information of the multiple parts obtained by disassembling the whole vehicle, including: For each component, perform material risk analysis and vehicle material data risk analysis on the component to determine the risk level of the component; If the risk level of the component indicates that the component is a risky component, the component information of the component is added to the risky component list.

3. The method according to claim 1, characterized in that The process of performing SVHC testing on the multiple risk materials corresponding to the multiple risk components based on the risk material list includes: For each risk component, taking the risk component as a unit, the multiple risk materials corresponding to the risk component are divided into metal materials and non-metal materials according to the material; The metal material is tested for metal items in the SVHC list, and the non-metal material is tested for non-metal items in the SVHC list.

4. The method according to claim 3, characterized in that The testing of the non-metallic items in the SVHC list on the non-metallic material includes: Dividing the non-metallic material into an inorganic part and an organic part, wherein the inorganic part includes a plurality of uniform inorganic materials, and the organic part includes a plurality of uniform organic materials; Dividing the plurality of uniform inorganic materials into at least one group of inorganic materials based on a preset number, and measuring the content of each group of inorganic materials using a first detection instrument; The plurality of uniform organic materials are divided into at least one group of organic materials based on the preset number, and the content of each group of organic materials is measured by a second detection instrument.

5. The method according to claim 4, characterized in that The method further comprises: For a target group of inorganic materials, if the content of the target group of inorganic materials is greater than a preset threshold, each uniform inorganic material in the target group of inorganic materials is tested by the first testing instrument; based on the first test results, a risky inorganic material is determined; the target group of inorganic materials is any group of inorganic materials; For a target group of organic materials, if the content of the target group of organic materials is greater than the preset threshold, each uniform organic material in the target group of organic materials is tested by the second testing instrument; based on the second test results, the risky organic material is determined; the target group of organic materials is any group of organic materials.

6. The method according to claim 1, characterized in that The process of performing restricted substance testing on the plurality of risk materials corresponding to each of the plurality of risk components based on the risk material list includes: For each risk component, taking the risk component as a unit, dividing a plurality of risk materials corresponding to the risk component into a plurality of uniform materials; Eliminate restricted substances not related to automotive products from the restricted list to obtain target restricted substances, where the target restricted substances are restricted substances related to automotive products; Determining the material and function of the target restricted substance; A target homogeneous material related to the material and function of the target restricted substance is determined from the plurality of homogeneous materials, and the target homogeneous material is tested.

7. The method according to claim 1, characterized in that Based on the risk material list, GADSL testing is performed on the risk materials corresponding to the risk components, including: Identify prohibited substances in the GADSL; For each risk component, the risk materials corresponding to the risk component are tested based on the banned substances, taking the risk component as a unit.

8. The method according to claim 1, characterized in that The method further comprises: Building a material database based on the third test results and vehicle material data, wherein the third test results are test results of multiple risk materials corresponding to each of the multiple risk components, and the third test results include SVHC test results, restricted substance test results, and GADSL test results; The material database is cross-analyzed with a pre-built hazardous substance database to generate a first assessment report, wherein the hazardous substance database includes a plurality of hazardous substances. The first assessment report is used to display target risk materials, risky components to which the target risk materials belong, hazardous substances in the target risk materials, and sources of the target risk materials, wherein the target risk materials are risk materials with excessive content.

9. The method according to claim 1, characterized in that The method further comprises: Determining, based on the third test result and the risk material list, a target risk component to which the target risk material belongs, where the target risk material is a risk material with an excessive content, and the third test result is a test result of multiple risk materials corresponding to each of the multiple risk components, and the third test result includes an SVHC test result, a restricted substance test result, and a GADSL test result; Based on the target risk components and the target risk materials, a second assessment report is generated, where the second assessment report is used to present treatment suggestions for the target risk components and the target risk materials.

10. A detection system construction device, characterized in that: The device comprises: A first determining module is configured to determine a risky parts list based on parts information of a plurality of parts obtained by disassembling the entire vehicle, wherein the risky parts list includes parts information of the plurality of risky parts; A second determination module is configured to determine, for each risk component, material information of a plurality of component materials obtained after the risk component is split; a third determining module, configured to determine a risk material list based on material information of a plurality of component materials corresponding to each of the plurality of risk components, wherein the risk material list includes material information of a plurality of risk materials corresponding to each of the plurality of risk components; The detection module is used to perform SVHC detection, restricted substance detection and Global Automotive Declarable Substance List (GADSL) detection on multiple risk materials corresponding to each of the multiple risk components based on the risk material list.

11. An electronic device, characterized in that: The electronic device includes a processor and a memory, wherein the memory stores at least one program code, and the at least one program code is loaded and executed by the processor to implement the detection system construction method according to any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that The computer-readable storage medium stores at least one program code, and the at least one program code is loaded and executed by a processor to implement the detection system construction method according to any one of claims 1 to 9.

13. A computer program product, characterized in that The computer program product stores at least one program code, and the at least one program code is loaded and executed by a processor to implement the detection system construction method according to any one of claims 1 to 9.

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