Automobile exit service system based on full-process traceability

Abstract

The invention belongs to the field of automobile export services, relates to a data analysis technology, is used for solving the problem that in the prior art, a supply link and a production link cannot be traced according to a quality detection result of a finished automobile, and particularly relates to an automobile export service system based on full-process traceability, which comprises an export service platform, the exit service platform is in communication connection with an information management module, a quality detection module, an abnormity tracing module, a service management module and a database. The information management module is used for performing information management on an exit vehicle order received by the vehicle exit service platform; acquiring full-process tracing data of the exit vehicle order; according to the invention, information management can be carried out on the exit vehicle order received by the vehicle exit service platform, after statistics is carried out on whole-process tracing data, related data of the exit vehicle order at a supply end, a production end and a transportation end can be recorded, and data support is provided for a link tracing analysis process when quality is abnormal.

Description

Technical Field

[0001] The present invention belongs to the field of automobile export services and relates to data analysis technology, in particular to an automobile export service system based on full-process traceability. Background Art

[0002] In recent years, with the rapid expansion of the automobile market, automobile quality issues have gradually become the focus of consumers. In order to improve the quality and safety performance of automobiles, the automobile industry needs to establish an effective tracking and tracing mechanism to ensure that automobiles can be strictly monitored and managed during the production, sales and use process.

[0003] The invention patent with announcement number CN116882834A discloses a full-process automobile quality management method, equipment and medium based on identity resolution. The management method collects the basic operating parameters of automobile parts and analyzes the basic operating parameters to determine the operating status of automobile parts; however, the management method can only perform quality inspection management at the supply end and the production end, and cannot trace the supply link and the production link according to the quality inspection results of the finished vehicle. At the same time, it is impossible to rationally allocate the quality inspection resources of the service platform based on the quality inspection results.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide an automobile export service system based on full-process traceability, which is used to solve the problem that the existing technology cannot trace the supply link and production link according to the quality inspection results of the finished vehicle;

[0006] The technical problem to be solved by the present invention is: how to provide an automobile export service system based on full-process traceability that can trace the supply link and production link according to the quality inspection results of the finished vehicle.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] An automobile export service system based on full-process traceability includes an export service platform, wherein the export service platform is communicatively connected with an information management module, a quality inspection module, an abnormality tracing module, a service management module and a database;

[0009] The information management module is used to manage the information of the export vehicle orders received by the automobile export service platform: obtaining the full-process traceability data of the export vehicle orders;

[0010] The quality inspection module is used to perform quality inspection on vehicles of export vehicle orders: generate a continuous inspection cycle, mark the inspection objects of the export vehicle orders within the inspection cycle; perform quality inspection on the inspection objects, mark the inspection objects that fail the quality inspection as quality-defective objects, mark the ratio of the number of quality-defective objects to the number of inspection objects as the abnormal coefficient of the export vehicle order, and judge whether the quality of the finished vehicles of the export vehicle order meets the requirements through the abnormal coefficient;

[0011] The abnormal tracing module is used to perform link tracing analysis on export vehicle orders with abnormal quality: mark the link affecting the quality of finished vehicles in the export vehicle order as an abnormal link, mark the abnormal time point through the whole process tracing data, mark the executing enterprise corresponding to the abnormal link as an abnormal enterprise, and mark the abnormal time period from L1 days before the abnormal time point to L1 days after the abnormal time point as an abnormal time point. All export vehicle orders processed by the abnormal enterprise within the abnormal time point are marked as abnormal orders; mark the abnormal orders as pre-inspection orders or tracing orders;

[0012] The service management module is used to manage and analyze export vehicle orders processed by the automobile export service platform.

[0013] Furthermore, the full-process traceability data includes the raw material purchaser of the export vehicle order, the raw material purchase date, the vehicle manufacturer, the vehicle production cycle, the vehicle transporter and the vehicle transportation date.

[0014] Furthermore, the specific process of marking the inspection objects includes: marking the inspection sampling ratio of the first inspection cycle as n1, marking the number of finished vehicles in the export vehicle order as the order value DG, and The sampling value CY of the export vehicle order is obtained, and vehicles are randomly selected from the finished vehicles of the export vehicle order as sampling inspection objects, and the number of selected sampling inspection objects is equal to the numerical value of the sampling value CY.

[0015] Furthermore, the specific process of determining whether the quality of the finished vehicles of the export vehicle order meets the requirements includes: obtaining the abnormality threshold through the database, and comparing the abnormality coefficient with the abnormality threshold: if the abnormality coefficient is less than the abnormality threshold, it is determined that the quality of the finished vehicles of the export vehicle order meets the requirements; if the abnormality coefficient is greater than or equal to the abnormality threshold, it is determined that the quality of the finished vehicles of the export vehicle order does not meet the requirements, and an abnormality tracing signal is generated and sent to the abnormality tracing module through the export service platform.

[0016] Furthermore, the marking process of abnormal time points includes: the links that affect the quality of finished vehicles include the raw material link, the production link and the transportation link; when the abnormal link is the procurement link, the raw material procurement date in the full-process traceability data of the export vehicle order is retrieved and marked as the abnormal time point; when the abnormal link is the production link, the vehicle production cycle in the full-process traceability data of the export vehicle order is retrieved, and the middle moment between the start time point and the end time point of the vehicle production cycle is marked as the abnormal time point; when the abnormal link is the transportation link, the vehicle transportation date in the full-process traceability data of the export vehicle order is retrieved and marked as the abnormal time point.

[0017] Furthermore, the specific process of marking an abnormal order as a pre-inspection order or a traceability order includes: determining whether the abnormal order has completed export: if so, marking the corresponding abnormal order as a traceability order; if not, marking the corresponding abnormal order as a pre-inspection order; sending the traceability order and the pre-inspection order to the mobile terminal of the manager through the export service platform.

[0018] Furthermore, the service management module is used to manage and analyze the export vehicle orders processed by the automobile export service platform: at the end of the detection cycle, the abnormal coefficients of all export vehicle orders are summed and averaged to obtain the abnormal performance value, the ratio of the abnormal performance value to the abnormal threshold is marked as abnormal performance data YB, export vehicle orders whose finished vehicle quality does not meet the requirements are marked as quality-different orders, and the ratio of the number of quality-different orders to the number of export vehicle orders is marked as abnormal proportion data YZ; the update coefficient GX of the detection cycle is obtained by numerically calculating the abnormal performance data YB and the abnormal proportion data YZ; the detection sampling ratio of the next detection cycle is marked by the updated coefficient GX.

[0019] Furthermore, the specific process of marking the inspection sampling ratio of the next inspection cycle includes: obtaining the update threshold GXmax through the database, and comparing the update coefficient GX of the inspection cycle with the update threshold GXmax: if the update coefficient GX is less than the update threshold GXmax, it is determined that the overall vehicle quality of the export vehicle orders processed by the export service platform within the inspection cycle meets the requirements, and the inspection sampling ratio of the next inspection cycle is marked as n1; if the update coefficient GX is greater than or equal to the update threshold GXmax, it is determined that the overall vehicle quality of the export vehicle orders processed by the export service platform within the inspection cycle does not meet the requirements, and the inspection sampling ratio of the next inspection cycle is marked as n2, n2=t1×n1, where t1 is the proportional coefficient, and 1.05≤t1≤1.15.

[0020] The present invention has the following beneficial effects:

[0021] 1. The information management module can be used to manage the export vehicle orders received by the automobile export service platform. After statistics on the traceability data of the entire process, the relevant data of the export vehicle orders at the supply end, production end and transportation end can be recorded to provide data support for the traceability analysis process of links when quality is abnormal;

[0022] 2. The quality inspection module can be used to inspect the quality of vehicles in export vehicle orders. The number of objects to be inspected can be marked according to the set inspection sampling ratio, and then the objects with abnormal quality inspections can be marked. The quality of finished vehicles can be analyzed based on the overall marking results of the abnormal quality objects, and timely feedback can be given when the overall quality is abnormal.

[0023] 3. The abnormal tracing module can be used to trace and analyze the links of export vehicle orders with abnormal quality. The abnormal orders can be screened according to the marked abnormal links and abnormal time points. Abnormal orders are orders with a high probability of quality abnormality in historical processed orders. Pre-detection or tracing of abnormal orders can be performed to reduce the quality inspection pressure of the service platform while improving the safety of vehicle operation after completing the order.

[0024] 4. The service management module can be used to manage and analyze the export vehicle orders processed by the automobile export service platform. At the end of the inspection cycle, a comprehensive analysis of the abnormal coefficients of all export vehicle orders processed during the inspection cycle can be performed to obtain an updated coefficient. The inspection sampling ratio for the next inspection cycle can then be set using the updated coefficient. In the case of poor overall quality, the number of samples can be increased, and the quality of exported automobiles can be ensured by increasing the base number of inspected vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0026] Figure 1 is a system block diagram of Embodiment 1 of the present invention;

[0027] Figure 2 This is a flow chart of the method of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0028] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] Embodiment 1: Figure 1 As shown, the automobile export service system based on full-process traceability includes an export service platform, which is communicatively connected to an information management module, a quality inspection module, an abnormality tracing module, a service management module and a database.

[0030] The information management module is used to manage the information of export vehicle orders received by the automobile export service platform: obtain the full-process traceability data of the export vehicle orders, which includes the raw material purchaser, raw material purchase date, vehicle manufacturer, vehicle production cycle, vehicle transporter and vehicle transportation date of the export vehicle orders; manage the information of the export vehicle orders received by the automobile export service platform, and after statistics on the full-process traceability data, record the relevant data of the export vehicle orders at the supply end, production end and transportation end, and provide data support for the link traceability analysis process when quality is abnormal.

[0031] The quality inspection module is used to perform quality inspection on vehicles in export vehicle orders: generate continuous inspection cycles, mark the inspection sampling ratio of the first inspection cycle as n1, n1 is a numerical constant, and the specific value of n1 is set by the management personnel; mark the number of finished vehicles in the export vehicle order as the order value DG, and use the formula The sampling value CY of the export vehicle order is obtained, and vehicles are randomly selected from the finished vehicles of the export vehicle order as the sampling objects, and the number of the sampling objects is equal to the value of the sampling value CY; the quality inspection is carried out on the sampling objects, and the sampling objects that fail the quality inspection are marked as quality-different objects, and the ratio of the number of quality-different objects to the number of sampling objects is marked as the abnormal coefficient of the export vehicle order. The abnormal threshold is obtained through the database, and the abnormal coefficient is compared with the abnormal threshold: if the abnormal coefficient is less than the abnormal threshold, it is determined that the quality of the finished vehicles of the export vehicle order meets the requirements; if the abnormal coefficient is greater than or equal to the abnormal threshold, it is determined that the quality of the finished vehicles of the export vehicle order does not meet the requirements, and an abnormal tracing signal is generated and sent to the abnormal tracing module through the export service platform; the number of sampling objects is marked according to the set detection sampling ratio, and then the sampling objects with quality inspection abnormalities are marked, and the quality of the finished vehicles is analyzed based on the overall quality-different object marking results, and feedback is given in time when the overall quality is abnormal.

[0032] The abnormal tracing module is used to conduct link tracing analysis on export vehicle orders with abnormal quality: mark the link that affects the quality of the finished vehicle of the export vehicle order as an abnormal link, and the links that affect the quality of the finished vehicle include the raw material link, the production link, and the transportation link; when the abnormal link is the procurement link, retrieve the raw material procurement date in the full-process traceability data of the export vehicle order and mark it as the abnormal time point; when the abnormal link is the production link, retrieve the vehicle production cycle in the full-process traceability data of the export vehicle order, and mark the middle moment between the start time point and the end time point of the vehicle production cycle as the abnormal time point; when the abnormal link is the transportation link, retrieve the vehicle transportation date in the full-process traceability data of the export vehicle order and mark it as the abnormal time point; mark the executing enterprise corresponding to the abnormal link as an abnormal enterprise, and The abnormal time period is from L1 days before the normal time point to L1 days after the abnormal time point, where L1 is a numerical constant and the specific value of L1 is set by the management personnel. All export vehicle orders processed by abnormal enterprises within the abnormal time point are marked as abnormal orders. It is determined whether the abnormal order has completed the export: if so, the corresponding abnormal order is marked as a traceability order; if not, the corresponding abnormal order is marked as a pre-inspection order. The traceability order and the pre-inspection order are sent to the management personnel's mobile terminal through the export service platform. The abnormal orders are screened according to the marked abnormal links and abnormal time points. The abnormal orders are orders with a higher probability of quality abnormalities in the historically processed orders. The abnormal orders are pre-detected or traced to reduce the quality inspection pressure of the service platform while improving the safety of vehicle operation after the orders are completed.

[0033] The service management module is used to manage and analyze the export vehicle orders processed by the automobile export service platform: at the end of the detection cycle, the abnormal coefficients of all export vehicle orders are summed and averaged to obtain the abnormal performance value, and the ratio of the abnormal performance value to the abnormal threshold is marked as abnormal performance data YB, and the export vehicle orders whose finished vehicle quality does not meet the requirements are marked as quality-different orders, and the ratio of the number of quality-different orders to the number of export vehicle orders is marked as abnormal proportion data YZ; through the formula The update coefficient GX of the detection cycle is obtained, where k1 and k2 are both proportional coefficients, and k1>k2>1; the update threshold GXmax is obtained through the database, and the update coefficient GX of the detection cycle is compared with the update threshold GXmax: if the update coefficient GX is less than the update threshold GXmax, it is determined that the overall vehicle quality of the export vehicle orders processed by the export service platform within the detection cycle meets the requirements, and the detection sampling ratio of the next detection cycle is marked as n1; if the update coefficient GX is greater than or equal to the update threshold GXmax, it is determined that the overall vehicle quality of the export vehicle orders processed by the export service platform within the detection cycle does not meet the requirements, and the detection sampling ratio of the next detection cycle is marked as n2, n2=t1×n1, where t1 is the proportional coefficient, and 1.05≤t1≤1.15; at the end of the detection cycle, the abnormal coefficients of all export vehicle orders processed within the detection cycle are comprehensively analyzed to obtain the update coefficient, and then the detection sampling ratio of the next detection cycle is set by the update coefficient, and the sampling quantity is increased when the overall quality is poor, so as to ensure the quality of exported vehicles by increasing the base number of detected vehicles.

[0034] Embodiment 2: Figure 2 As shown, the automobile export service method based on full process traceability includes the following steps:

[0035] Step 1: Manage the information of the export vehicle orders received by the automobile export service platform: obtain the full-process traceability data of the export vehicle orders;

[0036] Step 2: Perform quality inspection on vehicles in export vehicle orders: Generate a continuous inspection cycle, randomly select vehicles from the finished vehicles in the export vehicle order as inspection objects, and the number of inspection objects selected is equal to the value of the sampling value CY; perform quality inspection on the inspection objects and mark the inspection objects that fail the quality inspection;

[0037] Step 3: Conduct link tracing analysis on export vehicle orders with abnormal quality: Mark the link that affects the quality of finished vehicles in export vehicle orders as abnormal link, and the abnormal time period is L1 day before the abnormal time point to L1 day after the abnormal time point. Mark all export vehicle orders processed by abnormal enterprises during the abnormal time point as abnormal orders;

[0038] Step 4: Manage and analyze the export vehicle orders processed by the automobile export service platform and obtain the update coefficient GX of the inspection cycle. Set the inspection sampling ratio of the next inspection cycle through the update coefficient GX.

[0039] The automobile export service system based on full-process traceability obtains the full-process traceability data of export vehicle orders when working; generates continuous inspection cycles, randomly selects vehicles from the finished vehicles of the export vehicle orders as sampling objects, and the number of sampling objects selected is equal to the numerical value of the sampling value CY; performs quality inspection on the sampling objects and marks the sampling objects that fail the quality inspection; marks the links that affect the quality of the finished vehicles of the export vehicle orders as abnormal links, and the abnormal time period is L1 days before the abnormal time point to L1 days after the abnormal time point, and all export vehicle orders processed by abnormal enterprises within the abnormal time point are marked as abnormal orders; manages and analyzes the export vehicle orders processed by the automobile export service platform and obtains the update coefficient GX of the inspection cycle, and sets the inspection sampling ratio of the next inspection cycle through the update coefficient GX.

[0040] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0041] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The coefficients in the formula are set by technicians in this field according to actual conditions; for example: Formula ; A technician in this field collects multiple groups of sample data and sets corresponding update coefficients for each group of sample data; Substitute the set update coefficients and the collected sample data into the formula, any two formulas constitute a binary linear equation system, and the calculated coefficients are screened and averaged to obtain the values ​​of k1 and k2, which are 3.47 and 2.62 respectively;

[0042] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the initial setting of the corresponding update coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the update coefficient is proportional to the value of the abnormal performance data.

[0043] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0044] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. Based on the full-process traceability of automobile export service system, it is characterized by: It includes an export service platform, which is communicatively connected with an information management module, a quality detection module, an abnormality tracing module, a service management module and a database; The information management module is used to manage the information of the export vehicle orders received by the automobile export service platform: obtaining the full-process traceability data of the export vehicle orders; The quality inspection module is used to perform quality inspection on vehicles in export vehicle orders: generate a continuous inspection cycle, and mark the inspection objects of the export vehicle orders within the inspection cycle; Perform quality inspection on the sampled objects, mark the sampled objects that fail the quality inspection as quality-defective objects, mark the ratio of the number of quality-defective objects to the number of sampled objects as the abnormal coefficient of the export vehicle order, and judge whether the quality of the finished vehicles of the export vehicle order meets the requirements through the abnormal coefficient; The abnormal tracing module is used to perform link tracing analysis on export vehicle orders with abnormal quality: mark the link affecting the quality of finished vehicles in the export vehicle order as an abnormal link, mark the abnormal time point through the whole process tracing data, mark the executing enterprise corresponding to the abnormal link as an abnormal enterprise, and the abnormal time period is L1 days before the abnormal time point to L1 days after the abnormal time point. All export vehicle orders processed by the abnormal enterprise within the abnormal time point are marked as abnormal orders; Mark abnormal orders as pre-checked orders or retroactive orders; The service management module is used to manage and analyze export vehicle orders processed by the automobile export service platform.

2. The automobile export service system based on full-process traceability according to claim 1 is characterized in that: The full-process traceability data includes the raw material purchaser, raw material purchase date, vehicle manufacturer, vehicle production cycle, vehicle transporter and vehicle transportation date of export vehicle orders.

3. The automobile export service system based on full-process traceability according to claim 2 is characterized in that: The specific process of marking the inspection objects includes: marking the inspection sampling ratio of the first inspection cycle as n1, marking the number of finished vehicles in the export vehicle order as the order value DG, and The sampling value CY of the export vehicle order is obtained, and vehicles are randomly selected from the finished vehicles of the export vehicle order as sampling inspection objects, and the number of selected sampling inspection objects is equal to the numerical value of the sampling value CY.

4. The automobile export service system based on full-process traceability according to claim 3 is characterized in that: The specific process of determining whether the quality of the finished vehicles of the export vehicle order meets the requirements includes: obtaining the abnormality threshold through the database, and comparing the abnormality coefficient with the abnormality threshold: if the abnormality coefficient is less than the abnormality threshold, it is determined that the quality of the finished vehicles of the export vehicle order meets the requirements; if the abnormality coefficient is greater than or equal to the abnormality threshold, it is determined that the quality of the finished vehicles of the export vehicle order does not meet the requirements, and an abnormality tracing signal is generated and sent to the abnormality tracing module through the export service platform.

5. The automobile export service system based on full-process traceability according to claim 4 is characterized in that: The marking process of abnormal time points includes: the links that affect the quality of finished vehicles include raw materials, production and transportation; when the abnormal link is the procurement link, the raw material procurement date in the full-process traceability data of the export vehicle order is retrieved and marked as the abnormal time point; when the abnormal link is the production link, the vehicle production cycle in the full-process traceability data of the export vehicle order is retrieved, and the middle moment between the start time point and the end time point of the vehicle production cycle is marked as the abnormal time point; when the abnormal link is the transportation link, the vehicle transportation date in the full-process traceability data of the export vehicle order is retrieved and marked as the abnormal time point.

6. The automobile export service system based on full-process traceability according to claim 5 is characterized in that: The specific process of marking an abnormal order as a pre-inspection order or a traceability order includes: determining whether the abnormal order has completed export: if so, marking the corresponding abnormal order as a traceability order; if not, marking the corresponding abnormal order as a pre-inspection order; sending the traceability order and the pre-inspection order to the mobile terminal of the manager through the export service platform.

7. The automobile export service system based on full-process traceability according to claim 6 is characterized in that: The service management module is used to manage and analyze the export vehicle orders processed by the automobile export service platform: at the end of the detection cycle, the abnormal coefficients of all export vehicle orders are summed and averaged to obtain the abnormal performance value, the ratio of the abnormal performance value to the abnormal threshold is marked as abnormal performance data YB, export vehicle orders whose finished vehicle quality does not meet the requirements are marked as quality-different orders, and the ratio of the number of quality-different orders to the number of export vehicle orders is marked as abnormal proportion data YZ; the update coefficient GX of the detection cycle is obtained by numerically calculating the abnormal performance data YB and the abnormal proportion data YZ; the detection sampling ratio of the next detection cycle is marked by the updated coefficient GX.

8. The automobile export service system based on full-process traceability according to claim 7 is characterized in that: The specific process of marking the inspection sampling ratio of the next inspection cycle includes: obtaining the update threshold GXmax through the database, and comparing the update coefficient GX of the inspection cycle with the update threshold GXmax: if the update coefficient GX is less than the update threshold GXmax, it is determined that the overall vehicle quality of the export vehicle orders processed by the export service platform within the inspection cycle meets the requirements, and the inspection sampling ratio of the next inspection cycle is marked as n1; if the update coefficient GX is greater than or equal to the update threshold GXmax, it is determined that the overall vehicle quality of the export vehicle orders processed by the export service platform within the inspection cycle does not meet the requirements, and the inspection sampling ratio of the next inspection cycle is marked as n2, n2=t1×n1, where t1 is the proportional coefficient, and 1.05≤t1≤1.15.

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