A multi-effect rectification variable condition intelligent card edge optimization system
By using an intelligent edge-finding optimization system, which employs particle swarm optimization algorithm and soft measurement model, the control parameters of the multi-effect distillation system are adjusted in real time. This solves the problems of mass redundancy and high energy consumption in multi-effect distillation, and improves the system's stability and production capacity.
CN121300299BActive Publication Date: 2026-06-26ZHONGRUNHUAGU (NANJING) TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHONGRUNHUAGU (NANJING) TECH CO LTD
- Filing Date
- 2025-10-27
- Publication Date
- 2026-06-26
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Figure CN121300299B_ABST
Abstract
The application discloses a kind of multi-effect rectification variable condition intelligent card edge optimization system, comprising: card edge optimization module, for card edge optimization control, including: when starting production, the stability judgment result of current multi-effect multi-stage rectification tower system is obtained;If system is judged to be stable, control variable and observation variable are obtained;Using particle swarm optimization algorithm, control variable is searched, and predicted product quality is obtained using quality inspection module, in particle swarm optimization algorithm, control parameters are iteratively updated by optimization function, and finally the best control variable of current system is obtained;Stability monitoring module is used for real-time dynamic calculation of the stability value of each monitoring point, and the stability judgment result of multi-effect multi-stage rectification tower system is obtained;Time series analysis module is used for obtaining variable and its influence time affecting product quality;Quality inspection module includes soft measurement model, for inputting control variable and observation variable, and outputting predicted product quality.
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