GB/T 36090-2018 in English
VALIDGas analysis—Guide for quality assurance of on line automatic measuring system
- Issued on:2018-03-15
- Implemented on:2018-10-01
- File Format:PDF
- Delivery:Via email within 5 business days
$582.00
《GB/T 36090-2018气体分析 在线自动测量系统质量保证指南》由TC206（全国气体标准化技术委员会）归口，TC206SC1（全国气体标准化技术委员会气体分析分会）执行，主管部门为中国石油和化学工业联合会。
Introduction
Analysis of the core framework of the standard
| Quality assurance procedures | Implementation phase | Key technical indicators |
|---|---|---|
| Procedure 1: Laboratory evaluation | Before installation | Functional test, uncertainty assessment ≤Ureq |
| Procedure 2: Calibration and variability test | After installation | 15 groups of parallel measurements, sD≤σ0kv |
| Procedure 3: Continuous operation monitoring | Daily operation | CUSUM control chart (hx=2.85sAMS) |
| Procedure 4: Annual verification | Periodic | 5 sets of parallel measurement verification calibration function |
Key technology implementation points
1. Uncertainty assessment system
Use the assessment method specified in JJF1059.1 to establish a three-level uncertainty model:
- Analytical function: c=f(y1,...,yn)
- Model function: c=f(y)cal+∑bj(xj-xj,cal)
- Variance function: var(c)=∑(∂f/∂yi)2var(yi)+∑bj2var(xj)
2. Calibration function establishment specifications
Requirements for establishing the linear calibration function Y=a+bX:
Non-dispersive infrared analyzer Example shows: When (ys,max-ys,min)＜15% limit, the simplified formula is used to calculate the slope b=y/(xZ), intercept a=-bZ
3. CUSUM control chart parameters
| Detection type | Calculation formula | Threshold parameter |
|---|---|---|
| Drift detection | hx=2.85sAMS | kx=0.501sAMS |
| Accuracy decreases | hs=6.90sAMS2 | ks=1.85sAMS2 |
Standard Evolution and Industry Impact
This standard systematically regulates the full life cycle quality assurance system for gas online monitoring for the first time. Its innovations include:
- Introduction of procedural hierarchical verification (procedures 1-4)
- Establishment of a dynamic CUSUM monitoring model
- Clear statistical test methods for variability (kv coefficient table)
Implementation data show that the adoption of this standard can increase the data qualification rate of the flue gas continuous monitoring system by 23%
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