Automobile export service system based on whole-process traceability

Abstract

The application belongs to the field of automobile export services, and relates to a data analysis technology, which is used to solve the problem that the prior art cannot perform traceability processing on the supply link and the production link according to the quality detection result of a finished vehicle, and specifically is an automobile export service system based on full-process traceability, which comprises an export service platform, and the export service platform is communicatively connected with an information management module, a quality detection module, an abnormality traceability module, a service management module and a database; the information management module is used for information management on an export vehicle order received by the automobile export service platform; and full-process traceability data of the export vehicle order is acquired; the application can perform information management on the export vehicle order received by the automobile export service platform, and after the full-process traceability data is counted, the related data of the export vehicle order at the supply end, the production end and the transportation end can be recorded, so as to provide data support for a link traceability analysis process in the case of quality abnormality.

Description

Technical Field

[0001] The present invention belongs to the field of automobile export services and relates to data analysis technology, specifically 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' attention. 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 processes.

[0003] The invention patent with announcement number CN116882834A discloses a full-process automobile quality management method, equipment and medium based on identity resolution. This 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, this management method can only perform quality inspection management at the supply and production ends, and cannot trace the supply and production links based on the quality inspection results of finished vehicles. 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 response to 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 and production links based on the quality inspection results of finished vehicles;

[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 and production links according to the quality inspection results of finished vehicles.

[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, which is communicatively connected to 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 in export vehicle orders: generate a continuous inspection cycle, mark the inspection objects of the export vehicle order 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 abnormality coefficient of the export vehicle order, and judge whether the quality of the finished vehicles of the export vehicle order meets the requirements based on the abnormality coefficient;

[0011] The abnormal tracing module is used to perform link tracing analysis on export vehicle orders with abnormal quality: the link affecting the quality of the finished vehicle in the export vehicle order is marked as an abnormal link, the abnormal time point is marked through the full process tracing data, and the executing enterprise corresponding to the abnormal link is marked as an abnormal enterprise. 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 during the abnormal time point are marked as abnormal orders; abnormal orders are marked 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 A 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 sampling inspection objects selected is equal to the 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 an abnormality threshold through a 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, generating an abnormality tracing signal and sending the abnormality tracing signal 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 materials 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 traceable order includes: determining whether the abnormal order has completed export: if so, marking the corresponding abnormal order as a traceable order; if not, marking the corresponding abnormal order as a pre-inspection order; sending the traceable order and the pre-inspection order to the manager's mobile terminal 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 manage the export vehicle orders received by the automobile export service platform. After collecting statistics on the traceability data of the entire process, it can record the relevant data of the export vehicle orders at the supply, production and transportation ends, providing data support for the traceability analysis process in the event of quality anomalies.

[0022] 2. The quality inspection module can be used to conduct quality inspections on vehicles ordered for export. The number of objects to be inspected is marked according to the set inspection sampling ratio. Objects with abnormal quality inspections are then marked. The overall marking results of abnormal quality objects are used to analyze the quality of finished vehicles. In case of overall quality abnormalities, timely feedback is provided.

[0023] 3. The abnormality tracing module can be used to trace and analyze the links of export vehicle orders with abnormal quality. Abnormal orders are screened based on the marked abnormal links and abnormal time points. Abnormal orders are orders with a high probability of quality abnormalities in historical processed orders. Abnormal orders can be pre-detected or traced, reducing the quality inspection pressure of the service platform while improving the operational safety of vehicles that have completed orders.

[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 of the next inspection cycle can then be set based on 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 following briefly introduces the drawings required for use in the embodiments or the description of the prior art. 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 any creative work.

[0026] Figure 1 This 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 solutions of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0029] Example 1: Figure 1 As shown, the automobile export service system based on full-process traceability includes an export service platform, which is 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 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 in the event of quality anomalies.

[0031] The quality inspection module is used to perform quality inspection on vehicles in export vehicle orders: it generates continuous inspection cycles, marks 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; marks the number of finished vehicles in the export vehicle order as the order value DG, and uses the formula A 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, with the number of sampling inspection objects selected being equal to the value of the sampling value CY; quality inspection is performed on the sampling inspection objects, and sampling inspection objects that fail the quality inspection are marked as quality-defective objects, and the ratio of the number of quality-defective objects to the number of sampling inspection objects is marked as the abnormality coefficient of the export vehicle order; the abnormality threshold is obtained from the database, and the abnormality coefficient is compared with the abnormality threshold: if the abnormality coefficient is less than the abnormality threshold, it is determined that the quality of the finished vehicle 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 vehicle 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; the number of sampling inspection objects selected is marked according to the set inspection sampling ratio, and then the sampling inspection objects with quality inspection abnormalities are marked, and the overall quality-defective object marking results are comprehensively analyzed to analyze the quality of the finished vehicle, and timely feedback is provided when the overall quality is abnormal.

[0032] The abnormality tracing module is used for link tracing analysis on the export vehicle order with quality abnormality: marking the finished vehicle quality influencing link of the export vehicle order as an abnormal link, the finished vehicle quality influencing link including raw material link, production link and transportation link; when the abnormal link is the procurement link, calling the raw material procurement date in the full-process tracing data of the export vehicle order and marking it as an abnormal time point; when the abnormal link is the production link, calling the vehicle production cycle in the full-process tracing data of the export vehicle order, and marking the middle time point between the start time point and the end time point of the vehicle production cycle as an abnormal time point; when the abnormal link is the transportation link, calling the vehicle transportation date in the full-process tracing data of the export vehicle order and marking it as an abnormal time point; marking the execution enterprise corresponding to the abnormal link as an abnormal enterprise, constructing an abnormal time period from L1 days before the abnormal time point to L1 days after the abnormal time point, L1 being a numerical constant, and the specific value of L1 being set by the management personnel; marking all the export vehicle orders handled by the abnormal enterprise within the abnormal time point as abnormal orders; determining whether the abnormal orders are completed for export: if yes, marking the corresponding abnormal orders as tracing orders; if no, marking the corresponding abnormal orders as pre-inspection orders; sending the tracing orders and the pre-inspection orders to the mobile terminal of the management personnel through the export service platform; screening the abnormal orders according to the marked abnormal link and abnormal time point, the abnormal orders being the orders with higher quality abnormality probability in the historical handling orders, pre-inspecting or tracing the abnormal orders, reducing the quality detection pressure of the service platform and improving the vehicle operation safety of the completed orders.

[0033] The service management module is used for management analysis on the export vehicle orders handled by the automobile export service platform: summing up the abnormal coefficients of all the export vehicle orders at the end time point of the detection cycle to obtain an abnormal performance value, marking the ratio of the abnormal performance value to the abnormal threshold value as abnormal performance data YB, marking the export vehicle orders with unsatisfied finished vehicle quality as quality abnormality orders, and marking the ratio of the number of the quality abnormality orders to the number of the export vehicle orders as abnormal proportion data YZ; through the formula The update coefficient GX of the inspection cycle is obtained, where k1 and k2 are both proportional coefficients, and k1>k2>1; the update threshold GXmax is obtained from the database, and the update coefficient GX of the inspection 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 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; at the end of the inspection cycle, the abnormal coefficients of all export vehicle orders processed within the inspection cycle are comprehensively analyzed to obtain the update coefficient, and then the inspection sampling ratio of the next inspection cycle is set according to the update coefficient. When the overall quality is poor, the number of samples is increased, and the quality of exported vehicles is ensured by increasing the base number of inspected vehicles.

[0034] Example 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 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 a retrospective analysis of the links of export vehicle orders with abnormal quality: Mark the links that affect the quality of finished vehicles in export vehicle orders as abnormal links. 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 abnormal companies during the abnormal time point are marked 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 full-process traceability data of export vehicle orders when working; generates continuous inspection cycles, randomly selects vehicles from the finished vehicles of 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 updated coefficient GX.

[0040] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments 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 scope of protection 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 those skilled in the art according to the actual situation; for example: A skilled person in the art collects multiple sets of sample data and sets corresponding update coefficients for each set of sample data; substitutes the set update coefficients and the collected sample data into a formula, and any two formulas form a system of linear equations of two variables. The calculated coefficients are screened and averaged, resulting in values ​​of k1 and k2 of 3.47 and 2.62, respectively;

[0042] The size of the coefficient is to quantify each parameter to obtain a specific numerical value, which is convenient 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] Throughout this specification, references to terms such as "one embodiment," "example," or "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0044] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. 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 to an information management module, a quality inspection 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: generating a continuous inspection cycle and marking the inspection objects of the export vehicle orders within the inspection cycle; Perform quality inspections on the randomly inspected objects, mark those that fail the quality inspection as defective objects, and mark the ratio of the number of defective objects to the number of randomly inspected objects as the abnormality coefficient of the export vehicle order. Use the abnormality coefficient to determine whether the quality of the finished vehicles of the export vehicle order meets the requirements; The abnormality tracing module is used to perform link tracing analysis on export vehicle orders with abnormal quality: the link affecting the quality of the finished vehicle of the export vehicle order is marked as an abnormal link, and the abnormal time point is marked through the full-process tracing data. The marking process of the abnormal time point includes: the link affecting the quality of the finished vehicle includes 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 tracing 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 tracing data of the export vehicle order is retrieved, and the middle time between the starting time point and the ending 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 tracing data of the export vehicle order is retrieved and marked as the abnormal time point; Mark the executing enterprise corresponding to the abnormal link as an abnormal enterprise. 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 during the abnormal time point are marked as abnormal orders; abnormal orders are marked as pre-inspection orders or retrospective orders; The service management module is used to manage and analyze export vehicle orders processed by the automobile export service platform: at the end of the detection period, the abnormal coefficients of all export vehicle orders are summed and averaged to obtain an abnormal performance value, the ratio of the abnormal performance value to the abnormal threshold is marked as abnormal performance data YB, export vehicle orders for which the quality of finished vehicles does not meet the requirements are marked as quality-defective orders, and the ratio of the number of quality-defective orders to the number of export vehicle orders is marked as abnormal proportion data YZ; an update coefficient GX for the detection period is obtained by numerically calculating the abnormal performance data YB and the abnormal proportion data YZ; and the detection sampling ratio of the next detection period is marked using the updated coefficient GX; 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.

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, obtaining the sampling value CY of the export vehicle order through the formula CY=n1×DG, and randomly selecting vehicles from the finished vehicles in the export vehicle order as inspection objects. The number of inspection objects selected 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 1 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 been exported: 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 manager's mobile terminal through the export service platform.

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