GB/T 42442.2-2024 in English
VALIDSmart city—Smart parking—Part 2: Data requirements
- Issued on:2024-03-15
- Implemented on:2024-10-01
- File Format:PDF
- Delivery:Via email within 5 business days
$641.00
| Standard No: | GB/T 42442.2-2024 |
| Document status: | VALID |
| Title in English: | Smart city—Smart parking—Part 2: Data requirements |
| Title in Chinese: | 智慧城市 智慧停车 第2部分：数据要求 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 5 business days |
| Issued on: | 2024-03-15 |
| Implemented on: | 2024-10-01 |
| Professional Classification: | GB-National Standard |
| Related Keywords: | parking space data element
data classification system major data categories number smart city smart smart parking scenario data requirements introduction interpretation |
| Related Topics: | Chi Hui
Urban Smart Parking Urban smart parking system construction management Urban smart parking acceptance Smart city road design Smart parking equipment place Smart city IoT sensing data access Smart water construction data category Smart water data Smart water (water supply) data standard |
《GB/T 42442.2-2024智慧城市 智慧停车 第2部分：数据要求》由TC28（全国信息技术标准化技术委员会）归口，主管部门为国家标准委。
Introduction
Interpretation of the core content of the standard
As the second part of the GB/T 42442 series, this standard focuses on regulating the data governance system in the smart parking scenario. It complements the overall architecture of Part 1 and jointly builds a complete standard chain from infrastructure to data application.
Technical evolution background: With the surge in the number of motor vehicles in cities, the limitations of traditional parking management models have become increasingly prominent. This standard solves the problem of cross-system interconnection and interoperability by unifying data specifications, laying the foundation for innovative applications such as dynamic allocation of parking resources and touchless payment.
Data classification system
| Major data categories | Number of subcategories | Typical data | Update frequency |
|---|---|---|---|
| Parking resource category | 4 | Parking space size, charging pile configuration | Static |
| Parking record category | 3 | Entry time, license plate recognition record | Dynamic |
| Operation and management category | 7 | User account, transaction flow | Real time |
Key data element specifications
The standard adopts a three-segment eight-bit encoding rule (such as 01010001) to standardize the definitions of 329 data elements. The main attributes include:
- Identification class:Internal identifier, Chinese name (required)
- Definition class:Business meaning description (required)
- Representation class:Data type, format, value range (required)
- Additional class:Unit of measurement, remarks (optional)
Taking the parking space data element as an example, core attributes such as size (length × width × height), whether reservations are supported, and charging pile configuration are accurately standardized.
Data Lifecycle Management
| Links | Technical Requirements | Safety Measures |
|---|---|---|
| Collection | Support breakpoint resume, multi-source comparison | Device two-way authentication |
| Transmission | Compatible with TCP/IP/MQTT protocols | SM4 national secret encryption |
| Storage | Coexistence of structured and unstructured | Three-level backup strategy |
Implementation Suggestions
Phase-based construction path:
- Prioritize the standardized entry of static data (parking lot archives, charging rules)
- Deploy IoT devices to realize real-time collection of dynamic data (parking space status, entry and exit records)
- Establish a data quality monitoring system to ensure key indicators (equipment online rate > 98%)
Special reminder for privacy protection:Strictly follow GB/T 35273 to desensitize sensitive data such as license plates and payment information. It is recommended to adopt a dual protection mechanism of dynamic token + access audit.
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