QX/T 373-2017 in English
VALIDEvaluation method of meterorogical satellite data sharing services
- Issued on:2017-02-10
- Implemented on:2017-06-15
- File Format:PDF
- Delivery:Via email within 1~3 business days
$214.00
| Standard No: | QX/T 373-2017 |
| Document status: | VALID |
| Title in English: | Evaluation method of meterorogical satellite data sharing services |
| Title in Chinese: | 气象卫星数据共享服务评估方法 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 1~3 business days |
| Issued on: | 2017-02-10 |
| Implemented on: | 2017-06-15 |
| ICS Classification: | 07.060-Geology. Meteorology. Hydrology |
| Chinese Classification: | A47-Meteorology |
| Professional Classification: | QX-Meteorology |
| Related Topics: | shared service
satellite data hj/t 373 Guardian Thirteenth Five-Year Assessment Meteorology + Thirteenth Five-Year + Evaluation co-wall phenomenon prescription sharing satellite data shared service microsatellite service share factor QX climate satellite small meteorological data Evaluate trial data Satellite Data Parameters Methods to establish information sharing database Data Sharing Standard Database Meteorological satellite calibration Meteorological service place Satellite data aggregation |
本文件规定了气象卫星数据共享服务评估的指标体系、指标的计算方法和评估流程。 本文件适用于对气象卫星数据共享服务工作的评估。
Introduction
Standard Background and Scope of Application
QX/T 373-2017 was proposed by the National Technical Committee for Satellite Meteorology and Space Weather Standardization and compiled by the National Satellite Meteorological Center. The standard established a quantitative evaluation framework for meteorological satellite data sharing services for the first time, which is applicable to the service quality evaluation of various meteorological data service agencies.
Core evaluation indicator system
| Evaluation category | First-level indicator | Second-level indicator example | Weight basis |
|---|---|---|---|
| Energy efficiency evaluation | Shared service capability | Data storage capability, online processing capability, network security | Expert evaluation method (Delphi) |
| Shared service benefits | Number of users, service results, economic benefits | Analytical hierarchy process (AHP) | |
| Application evaluation | Service platform usability | Reasonableness of product classification and convenience of query | User satisfaction survey |
| Service process standardization | Network/protocol/consulting service process | Process audit results |
Analysis of key technical methods
4.1 Comprehensive evaluation calculation formula
Total score = energy efficiency evaluation score × 0.4 + application evaluation score × 0.6, reflecting the user-centered evaluation orientation.
4.2 Key points for implementing energy efficiency assessment
Case: When a provincial meteorological data center calculates service capability indicators through formula (3), it needs to focus on monitoring:
1) data storage capacity (storage capacity ≥500TB)
2) online processing response time (<30 seconds)
3) Annual number of safety drills (≥4 times)
Recommendations for standard implementation
- Questionnaire design phase: Pre-testing is required to ensure Cronbach's α ≥0.6
- Survey sample requirements: ≥5 energy efficiency assessment experts, ≥25 user survey participants
- Dynamic weight adjustment: It is recommended to re-verify the indicator weights through SAC/TC347 every 2 years
Technology Evolution Analysis
Compared with QX/T 112-2010, this standard innovatively:
1) Introduces energy efficiency evaluation to quantify service infrastructure capabilities
2) Establishes a 6-dimensional application evaluation model for the entire service process
3) Explicitly adopts a 9-point expert scoring method (see Table A.1)
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