QX/T 435-2018 in English
VALIDSpecification of agrometeorological database design
- Issued on:2018-07-11
- Implemented on:2018-12-01
- File Format:PDF
- Delivery:Via email within 5 business days
$728.00
Introduction
Standard framework and technological evolution
As a special extension of QX/T 233-2014 "Meteorological Database Storage Management and Naming", this standard has for the first time established a complete data standard system covering 12 types of agricultural meteorological elements such as crop growth and soil moisture. Its technological evolution is mainly reflected in:
| Version | Core Improvement | Data Capacity |
|---|---|---|
| 2011 Edition (QX/T 133) | Basic Meteorological Element Coding | 200+ Elements |
| 2018 Edition (QX/T 435) | Agricultural Thematic Database Design | 500+ Elements |
Core Design Principles
The specification adopts the Third Normal Form (3NF) relational database design, and ensures data integrity through the following mechanisms:
Contains 55 core tables, divided into three categories:
| Category | Representative table | Key fields |
|---|---|---|
| Manual observation | AGME_CHN_CROP_DEVELOP | Development period (C48001), plant height (V48005) |
| Automatic observation | AGME_CHN_ACP_DEVELOP | Canopy height (V48031), characteristic image (V48032) |
| Basic coding | AGME_PARA_CROP_COD | Crop code (CHAR6), scientific name (VARCHAR100) |
2. Field coding system
Using the XXYYY five-level coding structure:
| Scenario | Recommended Architecture | Storage Requirements |
|---|---|---|
| Provincial Center | Oracle RAC Cluster | ≥10TB |
| Station Level | MySQL Master-Slave Replication | 500GB-1TB |
2. Data Quality Control
- Establish a three-level validation mechanism: field-level format validation, record-level logical validation, and database-table association validation
- It is recommended to set a threshold for soil moisture data: relative humidity 0-100% interval validation
Typical Application Case
Wheat Drought Early Warning System is implemented based on the database built according to this standard:
- Real-time access to Automatic Soil Moisture Station (ASM) data
- Associate with the Crop Development Period data table
- Call fields 48110 (soil moisture) and 48006 (growth status) for model calculation
In actual applications, query efficiency is improved by 40% and the false alarm rate is reduced by 25%.
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