一种PTA质量异常监测系统
By collecting and analyzing production data in real time through the PTA quality anomaly monitoring system, a multi-dimensional quality coordinate system and anomaly envelope function are constructed, and the thresholds of key quality indicators are optimized. This solves the problems of quality monitoring lag and misjudgment in PTA production, realizes real-time monitoring and dynamic optimization of quality throughout the entire process, and improves production efficiency and product quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHAOXING FENGYI NEW MATERIALS CO LTD
- Filing Date
- 2025-11-21
- Publication Date
- 2026-07-17
AI Technical Summary
In the current PTA production process, the quality monitoring methods are outdated and cannot track the quality-influencing factors at each stage in real time, leading to misjudgments or omissions. This makes it difficult to achieve accurate quality anomaly monitoring and parameter optimization throughout the entire process, affecting production efficiency and costs.
Design a PTA quality anomaly monitoring system, including a production data acquisition module, a quality index function construction module, an anomaly envelope determination module, and a quality parameter optimization module. By acquiring data in real time, a multi-dimensional quality coordinate system is constructed, the minimum quality anomaly envelope function is determined, and this function is used as a constraint to optimize the threshold of key quality indicators. Combined with quality field analysis and parameter coupling estimation, the system realizes full-process quality monitoring and dynamic optimization.
It enables real-time monitoring and dynamic optimization of the entire PTA production process, allowing for timely detection and location of quality issues, reduction of defective products, improvement of product quality stability and pass rate, reduction of raw material and energy waste, and enhancement of production efficiency.
Smart Images
Figure CN121504278B_ABST