Truck market quality information online improvement system, method and apparatus

The online truck market quality information improvement system has solved the problems of low transmission efficiency, unclear classification, and lack of process control in the handling of truck market quality issues. It has enabled rapid and accurate identification and handling of quality problems, ensuring the effectiveness of the improvement loop.

CN122335205APending Publication Date: 2026-07-03DONGFENG AUTOMOBILE COMPANY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
DONGFENG AUTOMOBILE COMPANY
Filing Date
2026-03-30
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

The existing truck market quality problem handling model suffers from low transmission efficiency, unclear classification, lack of process control, and weak improvement loop, resulting in low user satisfaction and the easy recurrence of similar problems.

Method used

The truck market quality information online improvement system is adopted, which includes a front-end trigger module for problem identification and transformation, a flow control module for hierarchical flow, an access control module for process adjustment and closed-loop control, and a countermeasure verification module for review.

Benefits of technology

It enables rapid and accurate identification and handling of quality issues, dynamic adjustment of the process, ensures clear improvement actions by responsible departments, and reduces the recurrence of similar problems.

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Abstract

The application discloses a truck market quality information online improvement system, method and equipment, relates to the technical field of vehicle information management, and comprises a front-end triggering module, a flow control module, an authority management module and a countermeasure verification module.The front-end triggering module is used for intelligently identifying and converting problems to generate TR single and QRQC single respectively.The flow control module is used for realizing the flow of TR single and QRQC single between different levels based on a hierarchical architecture design.The authority management module is used for controlling the process adjustment and closed loop of the truck market quality information online improvement system through an authority allocation and control mechanism.The countermeasure verification module is used for auditing whether the countermeasure content of TR single and QRQC single is qualified.The application can effectively improve the truck market quality information.
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Description

Technical Field

[0001] This application relates to the field of vehicle information management technology, specifically to an online system, method, and device for improving truck market quality information. Background Technology

[0002] As a production tool, the efficiency of handling after-sales quality issues for trucks directly impacts users' operating costs and the normal use of their vehicles. Currently, the traditional handling model for truck quality issues involves the service station completing vehicle repairs and providing a paper vehicle repair assessment report. This report then requires manual transmission and processing through multiple stages, including the marketing company, quality department, technical department, purchasing department, and factory.

[0003] This traditional model has the following defects: (1) Low transmission efficiency: Manual cross-departmental transmission is prone to delays and omissions, resulting in delayed improvement of quality issues and affecting user satisfaction; (2) Unclear classification: There is a lack of unified problem conversion standards, and a large number of identification forms are mixed together, making it impossible to accurately identify and upgrade high-risk / batch problems; (3) Lack of process control: During the problem transmission process, it is impossible to perform operations such as rejection or withdrawal according to the actual situation, the process is rigid, and the flow path cannot be flexibly adjusted; (4) Weak improvement loop: The improvement actions (cause analysis, countermeasure formulation, effect verification) of the responsible departments have no clear flow nodes and control requirements, which makes it easy for similar problems to recur or flow out.

[0004] Therefore, how to achieve automatic identification, hierarchical triggering, online transfer, and closed-loop verification of quality problems has become an urgent problem to be solved. Summary of the Invention

[0005] This application provides an online system, method, and device for improving truck market quality information, which can effectively improve truck market quality information.

[0006] In a first aspect, embodiments of this application provide an online system for improving truck market quality information, the online system for improving truck market quality information comprising: The front-end trigger module is used to intelligently identify and transform problems to generate TR forms and QRQC forms respectively; The workflow control module is used to realize the flow of TR and QRQC orders between different levels based on a hierarchical architecture design; The access control module is used to manage the process adjustment and closed-loop of the truck market quality information online improvement system through access control and allocation mechanisms. The countermeasure verification module is used to review whether the countermeasure content of TR forms and QRQC forms is qualified.

[0007] In conjunction with the first aspect, in one implementation method, The front-end triggering module includes a TR single triggering unit and a QRQC single triggering unit; The TR single trigger unit is used to classify and count the problems in the vehicle repair appraisal forms uploaded by the service station based on big data analysis algorithms. When the number of problems in different single categories meets the preset number, a TR form is generated, and the original data of the vehicle repair appraisal form and the problem tags generated according to the problem classification are written into the generated TR form. The QRQC single trigger unit is used to generate a QRQC form when the number of single-type problems in the vehicle repair appraisal forms uploaded by the service station meets the set number, or when the batch risk intelligent assessment algorithm based on historical data and industry experience determines that the vehicle repair appraisal forms have a batch tendency risk. The QRQC form is then associated with the data and risk tags of the vehicle repair appraisal forms.

[0008] In conjunction with the first aspect, in one implementation method, The circulation control module includes a main information window, sub-window information liaison units, department / workshop liaison units, and team leader operation units.

[0009] In conjunction with the first aspect, in one implementation method, The main information window is used to receive the generated TR forms and distribute them to the system accounts corresponding to the sub-window information liaison units of R&D, procurement, and factory through an intelligent matching algorithm and according to the preset departmental responsibility allocation rules. The main information window is also used to conduct the final review of the countermeasures content of TR forms and QRQC forms. The sub-window information liaison unit is used to receive TR forms distributed by the main information window and generated QRQC forms, and prompts the sub-window information liaisons to actively check the form content and problem tags. After confirming the responsibilities of this part, the sub-window information liaison unit forwards the TR form or QRQC form to the system account of the corresponding department / workshop liaison unit through a path planning algorithm. The sub-window information liaison unit is also used to conduct a preliminary review of the countermeasures content of the QRQC form.

[0010] In conjunction with the first aspect, in one implementation method, The department / workshop liaison unit is used to receive TR or QRQC forms forwarded by the sub-window information liaison unit, and forward the TR or QRQC forms to the terminal device where the team leader operation unit is located. The department / workshop liaison unit is also used to transmit the countermeasures submitted by the team leader to the department head of the unit for review. The team leader operation unit is used to receive TR or QRQC forms forwarded by the department / workshop liaison unit, so that the team leader can submit countermeasures. The countermeasures include cause analysis, investigation and tracing records, temporary countermeasures and permanent countermeasures.

[0011] In conjunction with the first aspect, in one implementation method, The permission management module includes a permission rejection unit and a permission withdrawal / closing unit; The rejection permission unit is used to configure rejection permissions for TR forms distributed from the main information window to the sub-window information liaison units. When the sub-window information liaison unit determines that the issue involved in the TR form is not within the scope of its department's authority, it performs a rejection operation and sends the TR form back to the main information window via a data link. After receiving the returned TR form, the main information window restarts the intelligent matching algorithm for reassignment. The withdrawal / closure permission unit is used to assign withdrawal and closure operation permissions to the main information window and the sub-window information liaison units. When a TR or QRQC order has not been processed by a downstream node, the main information window and the sub-window information liaison units can withdraw the current TR or QRQC order. After the countermeasures submitted by the team leader are finally approved by the main information window, the main information window and the sub-window information liaison units can close the entire process.

[0012] In conjunction with the first aspect, in one implementation method, The countermeasure verification module includes a section chief review unit, a sub-window review unit, and a main window review unit; The section chief review unit is used to review the countermeasures content of TR forms or QRQC forms transmitted by the section / workshop liaison unit, and determine whether they are qualified. If qualified, the review result of the TR form countermeasures content is transmitted to the main information window, and the review result of the QRQC countermeasures content is transmitted to the sub-window information liaison unit. If unqualified, the countermeasures content is rejected by the rejection authority unit and sent to the team leader for revision through the reformulation of the countermeasures content. The sub-window review unit is used by the sub-window information liaison unit to review the countermeasures of the QRQC form after it has been approved by the section chief review unit, and to determine whether it is qualified. If it is qualified, the review result is transmitted to the main information window. If it is not qualified, it is rejected by the rejection authority unit and sent to the team leader for the countermeasures to be revised. The main window review unit is used by the main information window to conduct a final review of the countermeasures content of TR forms after they have been approved by the section chief review unit, and the countermeasures content of QRQC forms after they have been approved by the sub-window review units. It determines whether the countermeasures content is qualified. If it is qualified, the process ends. If it is not qualified, it is rejected by the rejection authority unit and sent to the team leader for the countermeasures content to be revised.

[0013] Secondly, embodiments of this application provide a method for improving truck market quality information online, implemented based on the aforementioned truck market quality information online improvement system. When performing a single TR transfer, the method specifically includes: Obtain vehicle repair appraisal reports uploaded by service stations, and analyze the vehicle repair appraisal reports based on big data analysis algorithms to generate TR reports; Based on the intelligent matching algorithm, the generated TR orders are distributed to the sub-window information liaison units of R&D, procurement, and factory. The sub-window information liaison unit receives TR forms and determines whether the issue falls within the scope of its department's responsibilities. If so, it forwards the TR form to the corresponding department / workshop liaison unit. The department / workshop liaison unit forwards the TR form to the team leader's operation unit for inputting the countermeasures. The department / workshop liaison unit will forward the entered countermeasures to the reviewers for review.

[0014] Thirdly, embodiments of this application provide a method for improving truck market quality information online, implemented based on the aforementioned truck market quality information online improvement system. When performing QRQC single-processing, the method specifically includes: Obtain vehicle repair and assessment reports uploaded by service stations, and generate QRQC reports based on problem quantity statistics and batch risk intelligent assessment algorithms; The generated QRQC form is forwarded to the department / workshop liaison unit, which then forwards it to the team leader's operation unit for inputting the countermeasures. The department / workshop liaison unit will forward the entered countermeasures to the reviewers for review.

[0015] Fourthly, embodiments of this application provide an online truck market quality information improvement device, which includes a processor, a memory, and an online truck market quality information improvement program stored in the memory and executable by the processor. When the online truck market quality information improvement program is executed by the processor, it implements the steps of the online truck market quality information improvement method described above.

[0016] The beneficial effects of the technical solutions provided in this application include: (1) Improved transmission efficiency: The front-end trigger module automatically identifies problems and generates improvement documents. Combined with the step-by-step precise push of the flow control module, the market quality problems are quickly reached from the front end to the back end, shortening the traditional processing cycle of days to hours or even minutes. (2) Accurate risk identification: Through the hierarchical triggering mechanism of the front-end triggering module, it is ensured that serious problems and batch problems are accurately captured and escalated for processing, so as to avoid high-risk problems being submerged in a large number of routine problems; (3) Flexible and controllable process: Through the permission management module, the rejection, withdrawal and closure permissions are configured to realize the dynamic adjustment of the flow process. When the document is assigned incorrectly or the countermeasure is not qualified, it can be returned and corrected in time, avoiding invalid transmission. (4) Improve the implementation of closed loop: Through the multi-level review mechanism of the countermeasure verification module, the responsible parties and improvement action requirements of each node are clarified, and the closed-loop management of the problem from cause analysis to countermeasure formulation is promoted, which effectively reduces the recurrence and outflow of similar problems. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the online truck market quality information improvement system of this application; Figure 2 This is a flowchart of the TR single-flow process; Figure 3 This is a single-flow flowchart for QRQC; Figure 4 This is a schematic diagram of the hardware structure of the truck market quality information online improvement device for this application. Detailed Implementation

[0018] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0020] Firstly, this application provides an online improvement system for truck market quality information, which can effectively solve the problems of non-standardized and inefficient market quality transmission processes, failure to quickly reach responsible departments, lack of unified standards for classifying and converting quality problems, easy omission of high-risk / batch problems, lack of control authority such as rejection, withdrawal, and closure during problem transmission, insufficient process flexibility, and lack of clear flow paths for improvement actions (cause analysis, countermeasure formulation, etc.) of responsible departments, resulting in untimely improvement closure.

[0021] In one embodiment, reference is made to Figure 1 , Figure 1 This is a schematic diagram of the online truck market quality information improvement system proposed in this application. Figure 1As shown, the truck market quality information online improvement system includes: a front-end trigger module, a flow control module, an access control module, and a countermeasure verification module.

[0022] The front-end triggering module is used for intelligent problem identification and transformation to generate TR (Trouble Report) and QRQC (Quick Response Quality Control) forms, respectively. In other words, the front-end triggering module has intelligent problem identification and transformation capabilities. TR stands for Trouble Report; QRQC stands for Quick Response Quality Control.

[0023] The workflow control module is designed based on a hierarchical architecture to enable the efficient and accurate transfer of TR (Transfer Order) and QRQC (Quick Reply / Quick Check) orders between different levels.

[0024] The permission management module is used to manage and control the process adjustment and closed-loop of the truck market quality information online improvement system through permission allocation and control mechanisms.

[0025] The countermeasure verification module is used to review whether the countermeasure content of TR forms and QRQC forms is qualified.

[0026] Furthermore, in one embodiment, the front-end triggering module includes a TR single triggering unit and a QRQC single triggering unit.

[0027] The TR single trigger unit is used to classify and count the problems in the vehicle repair appraisal forms uploaded by the service station based on big data analysis algorithms. When the number of problems in different single categories meets the preset number, a TR form is generated, and the original data of the vehicle repair appraisal form and the problem tags generated according to the problem classification are written into the generated TR form.

[0028] Specifically, the TR single trigger unit has a built-in rule engine that can automatically classify and count the problems in the vehicle repair appraisal forms uploaded by the service station based on big data analysis algorithms. For example, when the number of a certain type of problem in a vehicle repair appraisal form is greater than or equal to 1, the number of type B problems is greater than or equal to 3, or the number of type C problems is greater than or equal to 5, a TR form is automatically generated through a preset logic judgment program. The TR form carries the original data of the vehicle repair appraisal form and the problem tags generated according to the problem classification. The problem tags are used to accurately identify the problem type and severity for rapid identification and processing in the subsequent process.

[0029] It should be noted that the big data analysis algorithm is used to perform in-depth mining of the vehicle repair appraisal data uploaded by the service station. By analyzing multi-dimensional data such as problem descriptions, fault phenomena, and repair records, it can accurately classify and count problems, thereby improving the accuracy of the TR single trigger unit in judging problems.

[0030] The QRQC single trigger unit is used to generate a QRQC form when the number of single-type problems in the vehicle repair appraisal forms uploaded by the service station meets the set number, or when the batch risk intelligent assessment algorithm based on historical data and industry experience determines that the vehicle repair appraisal forms have a batch tendency risk. The QRQC form then associates the data and risk tags of the vehicle repair appraisal forms with the QRQC form.

[0031] Specifically, the QRQC single trigger unit integrates a single-type problem quantity statistics module and a batch risk intelligent assessment algorithm. For example, when the number of a certain type of problem in a vehicle repair appraisal form is greater than or equal to 3, or when the batch risk intelligent assessment algorithm (risk assessment model) built based on historical data and industry experience determines that the vehicle repair appraisal form has a batch tendency risk, a QRQC form is automatically generated, and the relevant data of the vehicle repair appraisal form and the risk label are associated with the QRQC form. The risk label is used to indicate the batch impact that the current problem may cause.

[0032] It should be noted that the batch risk intelligent assessment algorithm is used to comprehensively consider factors such as the occurrence rate of problems, the scope of the problem's impact, and historical fault data of similar models in the vehicle repair and appraisal report to build a risk assessment model. This model is used to evaluate the vehicle repair and appraisal report in real time to accurately determine whether there is a batch-prone risk and improve the QRQC single trigger unit's ability to identify potential batch problems.

[0033] Furthermore, in one embodiment, the flow control module includes a main information window, sub-window information liaison units, department / workshop liaison units, and team leader operation units.

[0034] The main information window is used to receive generated TR forms and, through an intelligent matching algorithm, distributes the TR forms to the system accounts corresponding to the sub-window information liaison units of R&D, procurement, and factory according to the preset departmental responsibility allocation rules. The main information window is also used to conduct the final review of the countermeasures content of TR forms and QRQC forms.

[0035] Specifically, the central information window, serving as the core hub of the entire workflow, is equipped with a high-performance data receiving and distribution server to receive TR (Transaction Request) forms generated by the TR triggering unit. Upon receiving a TR form, a built-in intelligent matching algorithm, based on preset departmental responsibility allocation rules, accurately distributes the TR form to the corresponding system accounts of the information liaison units in R&D, procurement, and factory sub-windows, ensuring that issues are quickly relayed to the appropriate responsible departments. Simultaneously, the central information window also performs final review of the countermeasures provided by TR forms and QRQC (Quality, Respect, and Quality) forms.

[0036] It should be noted that when the intelligent matching algorithm distributes TR forms in the main information window, in addition to the preset departmental responsibility allocation rules, it also dynamically adjusts the distribution strategy based on factors such as the current workload and professional field matching degree of each sub-window information liaison unit, to ensure that TR forms can be quickly and reasonably allocated to the most suitable sub-window information liaison unit, thereby improving the overall flow efficiency.

[0037] The sub-window information liaison unit is used to receive TR forms distributed by the main information window and generated QRQC forms, and prompts the sub-window information liaisons to actively check the form content and problem tags. After confirming the responsibilities of this part, the sub-window information liaison unit forwards the TR form or QRQC form to the system account of the corresponding department / workshop liaison unit through a path planning algorithm. The sub-window information liaison unit is also used to conduct a preliminary review of the countermeasures content of the QRQC form.

[0038] Specifically, the sub-window information liaison unit has intelligent review and secondary distribution functions for TR forms distributed from the main information window and QRQC forms generated and transferred to this unit by the QRQC form triggering unit. When a TR form or QRQC form is received, it automatically prompts the sub-window information liaison. The liaison can view the form content and issue tags through the system interface. If it is determined that the current issue is not within the scope of the department's responsibility, the TR form can be rejected through the rejection authority unit; if it is confirmed to be within the department's responsibility, the built-in path planning algorithm is used to forward the TR form or QRQC form to the system account of the corresponding department / workshop liaison unit. In addition, the sub-window information liaison unit is also used to conduct preliminary review of the countermeasures content of QRQC forms.

[0039] It should be noted that when the information liaison unit forwards TR or QRQC forms, the path planning algorithm plans the optimal forwarding path based on factors such as the business type, processing capacity, and urgency of the issue of the department / workshop liaison unit, ensuring that the documents can reach the corresponding department / workshop liaison unit as quickly as possible, thus optimizing the workflow.

[0040] The department / workshop liaison unit is used to receive TR or QRQC forms forwarded by the sub-window information liaison unit, and forward the TR or QRQC forms to the terminal device where the team leader's operation unit is located. The department / workshop liaison unit is also used to transmit the countermeasures submitted by the team leader to the department head of the unit for review.

[0041] Specifically, the department / workshop liaison unit is responsible for receiving TR or QRQC forms forwarded by the sub-window information liaison unit, and further forwarding the forms to the terminal devices of the team leader's operation unit through the company's internal communication network, ensuring that issues can quickly reach the implementation level. Simultaneously, the countermeasures submitted by the team leader are passed to the department head for verification and review.

[0042] The team leader's operating unit is used to receive TR or QRQC forms forwarded by the department / workshop liaison unit, so that the team leader can submit countermeasures. The countermeasures include cause analysis, investigation and tracing records, temporary countermeasures and permanent countermeasures.

[0043] Specifically, the team leader's operating unit is located on the terminal device used by the team leader and has a user-friendly human-computer interaction interface. The team leader receives TR forms or QRQC forms through this interface and enters detailed improvement content (countermeasures) in the preset filling area.

[0044] Furthermore, in one embodiment, the permission management module includes a permission rejection unit and a permission withdrawal / closing unit.

[0045] The rejection permission unit is used to assign rejection orders to the information liaison units of the sub-windows via the main information window. When the sub-window information liaison unit determines that the issue involved in the TR order is not within the scope of its department's authority, it performs a rejection operation and sends the TR order back to the main information window via a data link. After receiving the returned TR order, the main information window restarts the intelligent matching algorithm for reassignment.

[0046] Specifically, the rejection permission unit is used for TR forms distributed from the main information window to the sub-window information liaison units. Each sub-window information liaison unit is configured with one rejection permission. When a sub-window information liaison determines that the issue involved in the TR form is not within their department's jurisdiction, they click the rejection button, automatically record the rejection reason, and send the TR form back to the main information window via data link. Upon receiving the returned TR form, the main information window restarts the intelligent matching algorithm for secondary allocation. Furthermore, when a countermeasure fails verification, relevant reviewers can use this unit to reject the form and re-enter the countermeasure content.

[0047] The withdrawal / closure permission unit is used to assign withdrawal and closure operation permissions to the main information window and sub-window information liaison units. When a TR or QRQC order has not been processed by a downstream node, the main information window and sub-window information liaison units can withdraw the current TR or QRQC order. After the countermeasures submitted by the team leader are finally approved by the main information window, the main information window and sub-window information liaison units can close the entire process.

[0048] Specifically, the "Withdraw / Close Permission" unit is used to grant withdrawal and close operation permissions to the main information window and sub-window information liaison units. Before a TR or QRQC order is processed by downstream nodes, the main information window or sub-window information liaison can click the "Withdraw" button to immediately terminate the current document's flow and restore the relevant data to its pre-withdrawal state, depending on the actual situation. After the countermeasures submitted by the team leader are approved by the main information window, the main information window or sub-window information liaison can click the "Close" button to complete the closing operation of the entire process. At the same time, the processing results and related data of the document will be automatically archived and stored for subsequent query and analysis.

[0049] Furthermore, in one embodiment, the countermeasure verification module includes a section chief review unit, a sub-window review unit, and a main window review unit.

[0050] The section chief review unit is used to review the countermeasures content of TR forms or QRQC forms transmitted by the section / workshop liaison unit, and determine whether they are qualified. If qualified, the review result of the TR form countermeasures content is transmitted to the main information window, and the review result of the QRQC countermeasures content is transmitted to the sub-window information liaison unit. If unqualified, the unit rejects the countermeasures content and sends it to the team leader for revision through the rejection authority unit.

[0051] Specifically, the section chief of this unit reviews the countermeasures content of the TR forms and QRQC forms transmitted by the department / workshop liaison unit, and determines whether they are qualified. If qualified, the review result is transmitted to the sub-window information liaison unit or the main information window; if unqualified, it is rejected by the rejection authority unit and sent to the team leader to revise the countermeasures.

[0052] The sub-window review unit is used by the sub-window information liaison unit to review the countermeasures of the QRQC form after it has been approved by the section chief review unit, and to determine whether it is qualified. If it is qualified, the review result is transmitted to the main information window. If it is not qualified, it is rejected by the rejection authority unit and sent to the team leader for the countermeasures to be revised.

[0053] Specifically, the information liaison unit at each window reviews the countermeasures on the QRQC form again after the section chief approves them. If approved, the form is forwarded to the main information window; if not approved, it is rejected by the rejection authority and sent to the team leader to revise the countermeasures.

[0054] The main window review unit is used by the main information window to conduct a final review of the countermeasures content of TR forms after they have been approved by the section chief review unit, as well as the countermeasures content of QRQC forms after they have been approved by the sub-window review units. It determines whether the countermeasures are qualified. If qualified, the review ends; if not qualified, the countermeasures are rejected by the rejection authority unit and sent to the team leader for revision.

[0055] Specifically, the main information window conducts a final review of the countermeasures for TR forms and QRQC forms that have passed the review by the sub-windows. If they pass, the case is closed; if they fail, they are rejected by the rejection authority and sent to the team leader to formulate new countermeasures.

[0056] Secondly, this application also provides an online method for improving truck market quality information, which is implemented based on the above-described online truck market quality information improvement system.

[0057] In one embodiment, reference is made to Figure 2 When performing TR single-transfer, the online improvement method for truck market quality information specifically includes: S11: Obtain the vehicle repair appraisal report uploaded by the service station, and analyze the vehicle repair appraisal report based on big data analysis algorithms to generate a TR report; Specifically, the marketing company inputs the vehicle repair appraisal form uploaded by the service station into the TR trigger unit. This unit uses big data analysis algorithms to analyze the vehicle repair appraisal form. Based on the judgment results of the rule engine, when the corresponding conditions are met, it automatically generates a TR form carrying the original data of the vehicle repair appraisal form and detailed problem tags. S12: Based on the intelligent matching algorithm, the generated TR order is distributed to the sub-window information liaison units of R&D, procurement, and factory; Specifically, the main information window receives the generated TR forms and uses an intelligent matching algorithm to accurately distribute the TR forms to the corresponding system accounts of the sub-window information liaison units, taking into account factors such as departmental responsibilities, workload of sub-window information liaison units, and professional field matching. S13: The sub-window information liaison unit receives the TR form and determines whether the issue falls within the scope of its department's authority and responsibility. If so, it forwards the TR form to the corresponding department / workshop liaison unit. Specifically, after receiving a TR form, the sub-window information liaison unit uses intelligent review to determine whether the issue falls within the department's jurisdiction. If not, it can perform a rejection operation once through the rejection authority unit, and the TR form will be sent back to the main information window. If it does, it will be forwarded to the corresponding department / workshop liaison unit's system account according to the path planning algorithm. S14: The department / workshop liaison unit forwards the TR form to the team leader operation unit for input of countermeasures. Specifically, the department / workshop liaison unit forwards the TR form to the team leader's operation unit. The team leader receives the TR form through the human-computer interaction interface on the terminal device and enters the cause analysis, investigation and tracing records, temporary countermeasures and permanent countermeasures in the preset area. S15: The department / workshop liaison unit will forward the entered countermeasures to the reviewers for review.

[0058] Specifically, the department / workshop liaison unit transmits the countermeasures filled out by the team leader to the department head, who then reviews them to determine their suitability. If suitable, the review result is transmitted to the main information window; if unsuitable, the countermeasures are rejected by the rejection authority and returned to the team leader for revision. The main information window receives the approved countermeasures from the department head for final review. If suitable, the case is closed; if unsuitable, the countermeasures are rejected by the rejection authority and returned to the team leader for revision.

[0059] It should be added that when the sub-window information liaison unit performs a rejection operation on a TR form, it automatically records the reason for rejection and sends the TR form back to the main information window via a data link. The main information window then restarts the intelligent matching algorithm for secondary allocation.

[0060] Thirdly, this application also provides an online method for improving truck market quality information, which is implemented based on the above-described online truck market quality information improvement system.

[0061] In one embodiment, reference is made to Figure 3 When performing QRQC single-processing, the online improvement method for truck market quality information specifically includes: S21: Obtain the vehicle repair appraisal report uploaded by the service station, and generate a QRQC form based on the problem quantity statistics and batch risk intelligent assessment algorithm; Specifically, when the factory's market quality technicians countersign the service station's appraisal form, the QRQC form triggering unit uses a single-type problem quantity statistics module and a batch risk intelligent assessment algorithm. When the single-type problem is ≥3 pieces or there is a batch risk tendency, it automatically generates a QRQC form with associated appraisal form data and risk labels. S22: Forward the generated QRQC form to the department / workshop liaison unit, which then forwards the QRQC form to the team leader's operation unit for inputting the countermeasures. Specifically, after a QRQC form is generated, it is directly transferred to the department / workshop liaison unit. The department / workshop liaison unit forwards the QRQC form to the terminal device of the team leader's operation unit through the company's internal communication network. The team leader receives the QRQC form through the terminal device and enters the cause analysis, investigation and tracing records, temporary countermeasures and permanent countermeasures in the preset area of ​​the human-computer interaction interface, which is consistent with the improvement content entry requirements of the TR form. S23: The department / workshop liaison unit will forward the entered countermeasures to the reviewers for review.

[0062] Specifically, the department / workshop liaison unit transmits the countermeasures filled out by the team leader to the department head, who reviews them to determine their suitability. If suitable, the review result is transmitted to the sub-window information liaison unit; if unsuitable, it is rejected by the rejection authority unit and returned to the team leader for a revised countermeasure. The sub-window information liaison unit receives the approved countermeasures from the department head and conducts a second review. If suitable, the review result is transmitted to the main information window; if unsuitable, it is rejected by the rejection authority unit and returned to the team leader for a revised countermeasure. The main information window receives the approved countermeasures from the sub-windows and conducts a final review. If suitable, the case is closed; if unsuitable, it is rejected by the rejection authority unit and returned to the team leader for a revised countermeasure.

[0063] It should be further explained that the cause analysis requires identifying the direct and root causes of the problem, the investigation and tracing records must record detailed information such as the production batch, supplier, and assembly station of the problematic part, the temporary countermeasures must propose immediate and effective solutions for the current problem, and the permanent countermeasures must propose comprehensive and long-term improvement plans from technical and management perspectives to ensure that the problem is completely resolved and prevented from recurring.

[0064] Fourthly, embodiments of this application provide an online improvement device for truck market quality information. This online improvement device for truck market quality information can be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0065] Reference Figure 4 , Figure 4 This is a schematic diagram of the hardware structure of the online truck market quality information improvement device involved in the embodiments of this application. In this embodiment, the online truck market quality information improvement device may include a processor, a memory, a communication interface, and a communication bus.

[0066] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.

[0067] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces used for interconnecting components within the online truck market quality information improvement device, as well as interfaces used for interconnecting the online truck market quality information improvement device with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.

[0068] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0069] The processor can be a general-purpose processor, which can call the truck market quality information online improvement program stored in memory and execute the truck market quality information online improvement method provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the truck market quality information online improvement program is called can be referred to the various embodiments of the truck market quality information online improvement method of this application, and will not be repeated here.

[0070] Those skilled in the art will understand that Figure 4 The hardware structure shown does not constitute a limitation of this application and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0071] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0072] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0073] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.

[0074] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0075] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0076] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0077] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. An online truck market quality information improvement system characterized by, The truck market quality information online improvement system includes: The front-end trigger module is used to intelligently identify and transform problems to generate TR forms and QRQC forms respectively; The workflow control module is used to enable the flow of TR and QRQC orders between different levels based on a hierarchical architecture design. The access control module is used to manage the process adjustment and closed-loop of the truck market quality information online improvement system through access control and allocation mechanisms. The countermeasure verification module is used to review whether the countermeasure content of TR forms and QRQC forms is qualified.

2. The truck market quality information online improvement system as described in claim 1, characterized in that: The front-end triggering module includes a TR single triggering unit and a QRQC single triggering unit; The TR single trigger unit is used to classify and count the problems in the vehicle repair appraisal forms uploaded by the service station based on big data analysis algorithms. When the number of problems in different single categories meets the preset number, a TR form is generated, and the original data of the vehicle repair appraisal form and the problem tags generated according to the problem classification are written into the generated TR form. The QRQC single trigger unit is used to generate a QRQC form when the number of single-type problems in the vehicle repair appraisal forms uploaded by the service station meets the set number, or when the batch risk intelligent assessment algorithm based on historical data and industry experience determines that the vehicle repair appraisal forms have a batch tendency risk. The QRQC form is then associated with the data and risk tags of the vehicle repair appraisal forms.

3. The truck market quality information online improvement system as described in claim 1, characterized in that: The circulation control module includes a main information window, sub-window information liaison units, department / workshop liaison units, and team leader operation units.

4. The truck market quality information online improvement system as described in claim 3, characterized in that: The main information window is used to receive the generated TR forms and distribute them to the system accounts corresponding to the sub-window information liaison units of R&D, procurement, and factory through an intelligent matching algorithm and according to the preset departmental responsibility allocation rules. The main information window is also used to conduct the final review of the countermeasures content of TR forms and QRQC forms. The sub-window information liaison unit is used to receive TR forms distributed by the main information window and generated QRQC forms, and prompts the sub-window information liaisons to actively check the form content and problem tags. After confirming the responsibilities of this part, the sub-window information liaison unit forwards the TR form or QRQC form to the system account of the corresponding department / workshop liaison unit through a path planning algorithm. The sub-window information liaison unit is also used to conduct a preliminary review of the countermeasures content of the QRQC form.

5. The truck market quality information online improvement system as described in claim 4, characterized in that: The department / workshop liaison unit is used to receive TR or QRQC forms forwarded by the sub-window information liaison unit, and forward the TR or QRQC forms to the terminal device where the team leader operation unit is located. The department / workshop liaison unit is also used to transmit the countermeasures submitted by the team leader to the department head of the unit for review. The team leader operation unit is used to receive TR or QRQC forms forwarded by the department / workshop liaison unit, so that the team leader can submit countermeasures. The countermeasures include cause analysis, investigation and tracing records, temporary countermeasures and permanent countermeasures.

6. The truck market quality information online improvement system as described in claim 5, characterized in that: The permission management module includes a permission rejection unit and a permission withdrawal / closing unit; The rejection permission unit is used to configure rejection permissions for TR forms distributed from the main information window to the sub-window information liaison units. When the sub-window information liaison unit determines that the issue involved in the TR form is not within the scope of its department's authority, it performs a rejection operation and sends the TR form back to the main information window via a data link. After receiving the returned TR form, the main information window restarts the intelligent matching algorithm for reassignment. The withdrawal / closure permission unit is used to assign withdrawal and closure operation permissions to the main information window and the sub-window information liaison units. When a TR or QRQC order has not been processed by a downstream node, the main information window and the sub-window information liaison units can withdraw the current TR or QRQC order. After the countermeasures submitted by the team leader are finally approved by the main information window, the main information window and the sub-window information liaison units can close the entire process.

7. The truck market quality information online improvement system as described in claim 6, characterized in that: The countermeasure verification module includes a section chief review unit, a sub-window review unit, and a main window review unit; The section chief review unit is used to review the countermeasures content of TR forms or QRQC forms transmitted by the section / workshop liaison unit, and determine whether they are qualified. If qualified, the review result of the TR form countermeasures content is transmitted to the main information window, and the review result of the QRQC countermeasures content is transmitted to the sub-window information liaison unit. If unqualified, the countermeasures content is rejected by the rejection authority unit and sent to the team leader for revision through the reformulation of the countermeasures content. The sub-window review unit is used by the sub-window information liaison unit to review the countermeasures of the QRQC form after it has been approved by the section chief review unit, and to determine whether it is qualified. If it is qualified, the review result is transmitted to the main information window. If it is not qualified, it is rejected by the rejection authority unit and sent to the team leader for the countermeasures to be revised. The main window review unit is used by the main information window to conduct a final review of the countermeasures content of TR forms after they have been approved by the section chief review unit, and the countermeasures content of QRQC forms after they have been approved by the sub-window review units. It determines whether the countermeasures content is qualified. If it is qualified, the process ends. If it is not qualified, it is rejected by the rejection authority unit and sent to the team leader for the countermeasures content to be revised.

8. A method for online improvement of truck market quality information, implemented based on the online improvement system for truck market quality information according to any one of claims 1 to 7, characterized in that, When performing a single TR cycle, the online method for improving truck market quality information specifically includes: Obtain vehicle repair appraisal reports uploaded by service stations, and analyze the vehicle repair appraisal reports based on big data analysis algorithms to generate TR reports; Based on the intelligent matching algorithm, the generated TR orders are distributed to the sub-window information liaison units of R&D, procurement, and factory. The sub-window information liaison unit receives TR forms and determines whether the issue falls within the scope of its department's responsibilities. If so, it forwards the TR form to the corresponding department / workshop liaison unit. The department / workshop liaison unit forwards the TR form to the team leader's operation unit for inputting the countermeasures. The department / workshop liaison unit will forward the entered countermeasures to the reviewers for review.

9. A method for online improvement of truck market quality information, implemented based on the online improvement system for truck market quality information according to any one of claims 1 to 7, characterized in that, When performing QRQC single-processing, the online improvement method for truck market quality information specifically includes: Obtain vehicle repair and assessment reports uploaded by service stations, and generate QRQC reports based on problem quantity statistics and batch risk intelligent assessment algorithms; The generated QRQC form is forwarded to the department / workshop liaison unit, which then forwards it to the team leader's operation unit for inputting the countermeasures. The department / workshop liaison unit will forward the entered countermeasures to the reviewers for review.

10. An online equipment for improving truck market quality information, characterized in that, The truck market quality information online improvement device includes a processor, a memory, and a truck market quality information online improvement program stored in the memory and executable by the processor, wherein when the truck market quality information online improvement program is executed by the processor, it implements the steps of the truck market quality information online improvement method as described in claim 8 or 9.