A method and system for improving the quality and efficiency of map feature production
By configuring and managing the geographic entity document library in the human resources system database, the bottlenecks in map data production were located and resolved, thereby improving the quality and efficiency of map element production, solving the problem of low efficiency in map data product production management, and improving the quality and production efficiency of map data products.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-02-03
- Publication Date
- 2026-04-07
AI Technical Summary
Existing technologies for map element production suffer from low quality and efficiency and are difficult to master, making it impossible to quickly meet quality and efficiency requirements. Furthermore, map data product production management systems and methods cannot meet the rapid development of product update needs.
By configuring and managing the geographic entity document library through the database, establishing indexing rules, and combining it with the human resources system database to automatically match production personnel positions and work experience, locate bottlenecks and push solutions, and combine big data analysis to accurately guide production personnel, form bottleneck solutions, and improve production skills proficiency.
It has effectively improved the quality and production efficiency of map data products, reduced the losses caused by skills upgrading, and created significant economic benefits.
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Figure CN116187833B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of production management, in particular to a method and system for improving the quality and efficiency of map element production. BACKGROUND
[0002] With the continuous development of the national economy, people's demand for location services and automatic driving services is becoming more and more rich, and the requirements for industry bottom layer basic data infrastructure, such as navigation electronic map and high-precision map, are becoming more and more strict. The existing update element type, update range and data update frequency of navigation electronic map and even high-precision map cannot keep up with the pace of the times, and the current experience of map data products does not meet the increasingly sophisticated needs of users for life services. In addition to studying more automated map data product production technology, the number and skill requirements of professional and technical personnel are also rapidly increasing, and the existing map data product production management system method cannot meet the high-speed development of product update demand.
[0003] Through multi-source data fusion of basic geographic information collected by vehicle-mounted sensor equipment, satellite remote sensing image data and open source text information of related geographic entities, some simple, repetitive and high-differentiation geographic entity information can be converted into map data under certain circumstances through a series of automated processing means, such as lane lines, road facilities and driving guide information. However, for a long time, map products must be produced through centralized processing in the workshop due to the problems of unclear collected basic geographic information, attribute information of points of interest that cannot be directly collected, rapid changes of geographic entity information, etc.
[0004] In the current map data product production process, due to the large gap in professional and technical personnel, new employees need to learn through training documents, targeted guidance from skilled personnel, and other forms to learn map data production knowledge. In addition, map products involve element products such as roads of all levels, points of interest and surface features, and also involve rich specific geographic entity information such as road names, road levels, road facilities, road materials, lane lines, driving guide lines, point of interest types, names and states, etc. Basically, all the information related to transportation and life services encountered in real life need to be learned. Traditional learning methods result in low learning efficiency and great difficulty in mastering, and because the learning materials are not comprehensive, there are many blockages in the map data production process. Independent learning through materials cannot quickly meet the quality and efficiency requirements of map data workshop production. Therefore, in order to solve the above problems, a method and system for improving the quality and efficiency of map element production are proposed. SUMMARY
[0005] The application aims to provide a method and system for improving the quality and efficiency of map element production, so as to solve the problem of low efficiency and great difficulty in grasping in the prior art for improving the quality and efficiency of map element production, and unable to quickly meet the quality and efficiency requirements.
[0006] To achieve the above-mentioned purpose, the application provides the following technical scheme: a method for improving the quality and efficiency of map element production, comprising the following steps:
[0007] Step 1, providing a configuration management database, the configuration management database is used for managing and maintaining a geographic entity document library, the original paper or electronic map element production standard document is disassembled, an index rule is established, and the configuration management database is stored;
[0008] Step 2, establishing a data production personnel basic archive, accessing a personnel system database, and automatically matching the production personnel post working time;
[0009] Step 3, pushing the geographic entity document library to a data production workshop, establishing a “production personnel on-duty time-geographic entity case text library” matching rule based on the on-duty time, and completing initialization;
[0010] Step 4, obtaining the quality and efficiency data of the production process of the production personnel map geographic entity, positioning the blocking point after fine analysis, querying the blocking point related geographic entity document library, and integrating the blocking point solution;
[0011] Step 5, pushing the blocking point solution to the related production personnel, triggering the instruction for temporarily suspending the production task;
[0012] Step 6, judging whether the blocking point solution is completed and passed, if yes, executing step 10, otherwise, turning to step 7;
[0013] Step 7, re-pushing the blocking point solution to the related production personnel and marking;
[0014] Step 8, triggering the production task full detection instruction for the production personnel marked in step 7, if the full detection passes, executing step 10, otherwise, turning to step 9;
[0015] Step 9, the production personnel stops production, and generates a quality and efficiency integrity report taking the geographic entity and the production personnel as the analysis objects, and sends the report to the marked production personnel;
[0016] Step 10, the production personnel continues the production task.
[0017] Preferably, the geographic entity document library in step 1 at least includes the definition, type, production standard, entity case and process feedback data of various geographic entities.
[0018] Preferably, in step 1, the geographical element production standard document is disassembled and matched with the geographical entity case in the geographical entity document library to establish a "standard-case" index rule and a text database, and a "map element production process-geographical entity case text library" bidirectional feedback rule is built.
[0019] Preferably, in step 2, the personnel basic archives at least include the identity information, age information, working time and operation case of the geographical data production personnel.
[0020] Preferably, in step 4, after obtaining the quality and efficiency data of the map geographical entity production process of the production personnel, it is judged whether the quality and efficiency of the map element meet the standard, and if yes, step 10 is executed, and if not, the blocking point is located.
[0021] Preferably, in step 4, after locating the blocking point, the geographical entity type and its element type and region of the blocking production are obtained, and through matching the index rule, the corresponding knowledge points in the geographical entity document library are pointed to, and the production standard, case, exercise question and test question involved in the knowledge points are automatically combined to form a solution.
[0022] Preferably, in step 6, after the production personnel receives the solution, the learning and examination instructions are triggered, and the production personnel database staying time, exercise question completion rate and test question score are analyzed to determine whether the detection is completed and passed.
[0023] A system for improving the quality and efficiency of map element production, which is configured to execute the above method, comprising a server, a configuration management database and a quality and efficiency detection database, the server is used for data processing of the production personnel after logging in the production platform through a terminal device and data storage and calling of the configuration management database and the quality and efficiency detection database; the configuration management database is used for managing and maintaining the geographical entity document library, the map element production data and the text matching rule; the quality and efficiency detection database is used for collecting the production process quality and efficiency blocking point, recording and judging, and collecting the production process quality and efficiency data of the production personnel, and performing big data analysis through the server and pushing the blocking point solution and the blocking point solution effect solution.
[0024] Preferably, it further comprises a personnel system database, and the personnel system database is used for storing the basic archives of the data production personnel.
[0025] The present application at least has the following beneficial effects:
[0026] The present application combines rich map data production cases with traditional production standard documents through the interaction of data producers and systems, combines theory with practice, continuously improves the geographical entity document database through the feedback of data production process experience, more effectively improves the production personnel skill proficiency, and combines big data analysis to accurately target production blocking points and problem producers, forms a blocking point solution, and pushes it to relevant data producers, effectively improves the quality of map data products, reduces the loss caused by skill improvement in the production process, improves the overall production efficiency of map data products, and creates higher economic benefits. BRIEF DESCRIPTION OF DRAWINGS
[0027] Figure 1 A method flowchart of the present application;
[0028] Figure 2 A system schematic diagram of the present application; DETAILED DESCRIPTION
[0029] The technical solutions in the embodiments of the present application will be described clearly and completely below. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application. EMBODIMENT
[0030] A system for improving the quality and efficiency of map element production includes a server 1, a configuration management database 2, a quality and efficiency detection database 3, and a personnel system database 4.
[0031] The server 1 is used for data processing after the production personnel log in to the production platform through the terminal device, and the data storage and calling of the configuration management database 2, the quality and efficiency detection database 3, and the personnel system database 4.
[0032] The configuration management database 2 is used for managing and maintaining the geographical entity document library, map element production data, and text matching rules.
[0033] The quality and efficiency detection database 3 is used for collecting production process quality and efficiency blocking points, recording and judging, and collecting production personnel production process quality and efficiency data, performing big data analysis through the server, and pushing the blocking point solution and the blocking point solution effect solution.
[0034] The personnel system database 4 is used for storing the basic archives of data producers.
[0035] A method for improving the quality and efficiency of map element production is executed by the above-mentioned system and includes the following steps:
[0036] Step 1, provide a configuration management database 2 for managing and maintaining a geographic entity document library, the server 1 disassembles the original paper or electronic map element production standard document, establishes an index rule, and stores it in the configuration management database 2. Specifically, the map element production standard document is initialized according to the index rule, forming the standardized initial data of map element production;
[0037] The geographic entity document library at least includes the definition, type, production standard, entity case, and process feedback data of various geographic entities.
[0038] The geographic element production standard document is disassembled and matched with the geographic entity case in the geographic entity document library to establish a "standard-case" index rule and a text database. Specifically, the text data is used to record the matched "standard-case" index rule, and a "map element production process-geographic entity case text library" bidirectional feedback rule is built. Specifically, the geographic entity case text library guides the map element production process, and the map element production process builds the geographic entity case text library, forming a bidirectional feedback.
[0039] Step 2, establish a data production personnel basic file, access a personnel system database 4, and specifically, automatically match the production personnel's job tenure by matching the personnel system database 4 through the establishment of a data production personnel basic file.
[0040] The personnel basic file at least includes the identity information, age information, tenure, and operation case of the geographic data production personnel. Specifically, the personnel basic file records the name, age, and data production history of the data production personnel. The data production history at least includes the start and end time and the case of successfully completing data production during the tenure.
[0041] Step 3, the geographic entity document library is pushed to the data production workshop, and a "production personnel tenure-geographic entity case text library" matching rule is established based on tenure to complete initialization.
[0042] Step 4, obtain the quality and efficiency data of the map geographic entity production process of the production personnel. Specifically, the quality and efficiency data includes the production quality and production efficiency of the geographic entity element. The production quality = (the problem data magnitude of the same type of element of the same type of geographic entity in the same class of geographic entity / the sample size of the same type of element of the same type of geographic entity in the same class of geographic entity); The production efficiency is the magnitude of producing the same type of element of the same type of geographic entity within a unit time, and it is judged whether the map element quality and efficiency meet the standard. If it meets the standard, step 10 is executed, if it does not meet the standard, the blocking point is located after fine analysis, and the blocking point related geographic entity document library is queried to integrate the blocking point solution;
[0043] Specifically, fine analysis includes:
[0044] 1. Analyze the spatial distribution characteristics of the same type of geographical entity, and determine the congestion situation of different categories of cities;
[0045] 2. Analyze the production quality of different elements of the same type of geographical entity, and define poor quality elements as congestion points;
[0046] 3. Analyze the production efficiency of the same type of elements of the same type of geographical entity, and define low-efficiency elements as congestion points;
[0047] 4. Take production personnel as the research object, and analyze the time sequence characteristics of the production personnel on duty;
[0048] 5. Correlate the elements and production personnel, integrate the relevant spatial distribution characteristics, production quality of elements, production efficiency of elements, and time sequence characteristics of production personnel, and perform weighted analysis to present the congestion point situation of different groups and individuals of production personnel;
[0049] Among them, after positioning the congestion point, the geographical entity type and its element type, and the region of the congested production are obtained, and through matching index rules, it will point to the corresponding knowledge points in the geographical entity document library. The production standards, cases, practice questions, test questions and other congestion point solutions involved in the knowledge points are automatically integrated to form a solution.
[0050] Step 5, push the congestion point solution to the relevant production personnel, and trigger the instruction to temporarily suspend the production task.
[0051] Step 6, determine whether the congestion point solution is completed and passed the detection, if yes, execute step 10, otherwise go to step 7;
[0052] Among them, after the production personnel receive the solution, the learning and examination instructions are triggered, and the production personnel database stay time, practice question completion rate, and test question score are analyzed to determine whether the completion and passing detection are completed.
[0053] Step 7, re-push the congestion point solution to the relevant production personnel and mark, specifically, when the production personnel fail to pass the detection, the congestion point solution is re-pushed to the relevant production personnel, and the production personnel who fail to pass the detection are marked.
[0054] Step 8, trigger the production task full detection instruction for the production personnel marked in step 7, specifically, after the production personnel are marked, the marked personnel production platform login permission is automatically closed, and the completed production task quality detection strategy is adjusted from the fixed proportion of sampling inspection to the task full detection. The completed production task quality is fully detected, and the full detection passes step 10, otherwise go to step 9.
[0055] Step 9, the production personnel stop production, and generate quality and efficiency integrity reports respectively taking the geographical entity and the production personnel as analysis objects, and send the reports to the marked production personnel, further fine guidance of the construction of the geographical entity document library and the quality and efficiency improvement of the production personnel.
[0056] Step 10, the production personnel continue to perform the production task.
[0057] In conclusion, the method and system for improving the quality and efficiency of map element production provided by the present application fuse rich map data production cases with traditional production standard documents through the interaction of data production personnel and the system, realize the fine production standard document of geographical entity and the quality and efficiency detection function of data production personnel through the configuration management database 2, the quality and efficiency detection database 3, the established geographical entity production standard document case, the index text matching rule, the geographical entity-on-duty time matching rule, the geographical entity production quality and efficiency detection record and the quality and efficiency report, and adopt the way of theory combined with practice, constantly improve the geographical entity document library through the feedback of data production process experience, more effectively improve the skill proficiency of the production personnel, combine the big data analysis to accurately direct the production blockage points and the problem production personnel, form the blockage point solution, push to the related data production personnel, realize the rapid improvement of the data production skill, and effectively improve the production quality and production efficiency of the map data product.
[0058] The basic principle and main features of the present application and the advantages of the present application are shown and described above, and it is obvious for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and the present application can be realized in other specific forms without departing from the spirit or basic features of the present application. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting, and the scope of the present application is defined by the appended claims rather than the above description, and therefore all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present application.
[0059] Although the embodiments of the present application have been shown and described, it can be understood by those skilled in the art that various changes, modifications, replacements and variations can be made to the embodiments without departing from the principle and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.
Claims
1. A method for improving the quality and efficiency of map element production, characterized in that, Includes the following steps: Step 1: Provide a configuration management database. The configuration management database is used to manage and maintain the geographic entity document library. The original paper or electronic map feature production standard documents are disassembled, index rules are established, and stored in the configuration management database. Step 2: Establish basic files for data production personnel, connect to the human resources system database, and automatically match the work experience of production personnel in their positions; Step 3: Push the geographic entity document library to the data production workshop, and establish a matching rule for "production personnel on-duty time - geographic entity case text library" based on on-duty time to complete the initialization; Step 4: Obtain the quality and efficiency data of the production process from the geographic entities on the production personnel map, locate the bottlenecks through refined analysis, and query the relevant geographic entity document library for the bottlenecks to integrate bottleneck solutions. Step 5: Push the solution to the bottleneck to the relevant production personnel and trigger the instruction to temporarily suspend production tasks; Step 6: Determine whether the blockage solution is complete and passes the test. If it passes the test, proceed to step 10; otherwise, proceed to step 7. Step 7: Re-push the bottleneck solution to the relevant production personnel and mark it; Step 8: For the production personnel marked in Step 7, trigger the full inspection command for the production task. If the full inspection passes, proceed to Step 10; otherwise, proceed to Step 9. Step 9: Production personnel stop production, and quality and efficiency integrity reports are generated for geographical entities and production personnel respectively, and sent to the marked production personnel; Step 10: Production personnel continue with production tasks.
2. The method for improving the quality and efficiency of map element production according to claim 1, characterized in that: In step 1, the geographic entity document library should include at least the definitions, types, production standards, entity cases, and process feedback data for various geographic entities.
3. The method for improving the quality and efficiency of map element production according to claim 2, characterized in that: In step 1, after the geographic feature production standard document is decomposed, it is matched with the geographic entity cases in the geographic entity document library to establish a "standard-case" index rule and text database, and a two-way feedback rule of "map feature production process-geographic entity case text library" is built.
4. The method for improving the quality and efficiency of map element production according to claim 1, characterized in that: The personnel basic files in step 2 should include at least the identity information, age information, length of service and operation cases of the geographic data production personnel.
5. A method for improving the quality and efficiency of map element production according to claim 1, characterized in that: Step 4: After obtaining the quality and efficiency data of the production process of the production personnel map geographic entities, determine whether the map quality and efficiency meet the standards. If they meet the standards, proceed to step 10; otherwise, locate the blockage point.
6. A method for improving the quality and efficiency of map element production according to claim 5, characterized in that: In step 4, after locating the blockage point, the geographic entity type, its element type, and region that are blocking production are obtained. By matching the index rules, the corresponding knowledge points in the geographic entity document library are pointed to. The production standards, cases, exercises, and quizzes involved in the knowledge points are automatically combined to form a solution.
7. A method for improving the quality and efficiency of map element production according to claim 6, characterized in that: In step 6, after receiving the solution, the production staff triggers the learning and examination instructions, and analyzes the time spent in the production staff database, the completion rate of practice questions, and the test scores to determine whether the task has been completed and whether the test has been passed.
8. A system for improving the quality and efficiency of map feature production, the system being configured to perform the method for improving the quality and efficiency of map feature production as described in any one of claims 1-7, characterized in that, It includes a server, a configuration management database, and a quality and efficiency monitoring database. The server is used for data processing after production personnel log in to the production platform through terminal devices, as well as for data storage and retrieval of the configuration management database and the quality and efficiency monitoring database. The configuration management database is used to manage and maintain the geographic entity document library, map feature production data, and text matching rules. The quality and efficiency monitoring database is used to collect, record, and determine the quality and efficiency bottlenecks in the production process, and to collect the quality and efficiency data of production personnel in the production process. The server performs big data analysis on the data and pushes solutions to the bottlenecks.
9. A system for improving the quality and efficiency of map element production according to claim 8, characterized in that: It also includes a personnel system database, which is used to store basic files of data production personnel.
Citation Information
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