A sewage plant multi-energy utilization robust decision method and device, computer equipment and medium

By constructing a stochastic multi-criteria decision analysis framework for the multi-energy utilization of wastewater treatment plants, and employing game theory and grey relational analysis, the uncertainty of decision-making outcomes in wastewater treatment systems is addressed, robustness and adaptability are improved, and risk-aware decision support is provided.

CN122453196APending Publication Date: 2026-07-24YANGTZE ECOLOGY & ENVIRONMENT CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
YANGTZE ECOLOGY & ENVIRONMENT CO LTD
Filing Date
2026-04-07
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing wastewater treatment systems fail to effectively handle the dual randomness of performance preference values ​​and weight vectors in multi-energy utilization decision-making, resulting in insufficient robustness of decision results. They cannot quantitatively assess the risk of scheme ranking reversal and decision-making errors caused by input parameter uncertainty, lack effective sensitivity analysis methods, and have poor adaptability in complex and ever-changing operating environments.

Method used

A stochastic multi-criteria decision analysis framework for comprehensive energy utilization and multi-energy complementarity optimization in wastewater treatment plants is constructed for practical applications. Game theory is used to aggregate the decision criteria weights. Combined with stochastic multi-criteria decision acceptability analysis and grey relational analysis, a model is built to quantitatively assess uncertainty and decision error risk. Significance analysis is used to identify the impact of key factors.

Benefits of technology

It effectively handles the dual randomness of performance preference values ​​and weight vectors in the decision matrix, enhances the robustness and adaptability of decision schemes, provides risk-aware decision-making basis, and improves the reliability and adaptability of decision results in complex and ever-changing environments.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122453196A_ABST
    Figure CN122453196A_ABST
Patent Text Reader

Abstract

The sewage plant multi-energy utilization robust decision method, device, computer equipment and medium belong to the field of urban sewage plant comprehensive energy utilization and multi-energy complementary optimization. Among them, the method comprises the following steps: constructing a practical application-oriented sewage plant comprehensive energy utilization and multi-energy complementary optimization stochastic multi-criteria decision analysis framework for the robust decision of sewage plant comprehensive energy utilization and multi-energy complementary optimization under uncertain conditions; using game theory to aggregate and resolve the weight of each decision standard of sewage plant comprehensive energy utilization and multi-energy complementary optimization, and estimating the uncertainty of each decision standard of sewage plant comprehensive energy utilization and multi-energy complementary optimization; constructing a sewage plant comprehensive energy utilization and multi-energy complementary optimization stochastic multi-criteria decision acceptability analysis-gray correlation analysis model to quantitatively evaluate the uncertainty and decision-making risk of sewage plant comprehensive energy utilization and multi-energy complementary optimization multi-criteria decision; using significance analysis method to determine the influence of input parameter uncertainty of each decision standard of sewage plant comprehensive energy utilization and multi-energy complementary optimization on the decision scheme of sewage plant comprehensive energy utilization and multi-energy complementary optimization.
Need to check novelty before this filing date? Find Prior Art