T/FJBR 017-2026 Fujian province rural ‘One Road, One Archive’ data element
T/FJBR 017-2026 Fujian province rural ‘One Road, One Archive’ data element
Basic Information
Scope
1. Data Element Definition and Classification Rural road and ancillary facility data elements: Covering infrastructure data of rural roads, bridges, signs, and markings. Rural road business management data elements: Including all aspects of rural road construction, management, maintenance, and operation, such as construction planning, maintenance records, and operational management. 2. Data Collection and Update Intelligent multi-source data collection: Utilizing advanced intelligent technologies (e.g., IoT, satellite remote sensing, drones) to collect static and dynamic data on roads. Standardized data collection: Unifying data collection requirements, including collection frequency, accuracy, and format, to ensure data consistency and compatibility. 3. Data Governance and Standardization Standardized data governance platform: Building a cross-departmental data interoperability platform compliant with the "Transportation Information Basic Data Units" (JT/T607.1), to address data silo issues. Data element standardization: Organizing the basic data types involved in the entire life cycle of rural road management into a catalog, unifying field numbers, field content, field expression forms, and field logic. Data production process standardization: Unifying data collection, reporting, approval, storage, and confidentiality processes to ensure management standardization. 4. Data Presentation and Visualization Information presentation standards: Unifying color schemes for different road grades, graphic symbols for different object categories, and display formats. Data visualization: Intuitively displaying static and dynamic data of rural roads through graphical and tabular methods, enhancing readability and usability. 5. Dynamic Monitoring and Data Services Dynamic road condition monitoring: Implementing real-time dynamic monitoring of rural roads through intelligent technologies, improving data update frequency and addressing platform lag