Centralized decision-making and double-end execution port multi-capacity supply and demand intelligent collaborative management method

By constructing a port multi-energy supply and demand intelligent collaborative management and control method that integrates central decision-making and dual-end execution, the problem of supply and demand mismatch in port energy management and production scheduling has been solved, realizing dynamic collaborative regulation of energy supply and production demand, and improving port operation efficiency and green energy utilization.

CN121961176BActive Publication Date: 2026-09-11WUHAN UNIV OF TECH
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Patent Information

Application Number
CN202610426486.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-04-02
Publication Date
2026-09-11
Estimated Expiration
2046-04-02

AI Technical Summary

Technical Problem

Existing port energy management and production scheduling technologies are unable to achieve dynamic matching and coordinated control between energy supply and production demand, resulting in unreasonable energy allocation, insufficient green energy consumption, and delayed control response. They also lack real-time status feedback and closed-loop dynamic optimization mechanisms.

Method used

A port multi-energy supply and demand intelligent collaborative management and control method is constructed, which integrates central decision-making and dual-end execution. The method uses a multi-energy supply and demand coordination intelligent agent to unify the decision-making center, integrate data from the energy side and the production side, and use a hybrid prediction model and optimization algorithm to generate scheduling instructions, so as to realize real-time collaborative scheduling and feedback correction of energy supply and production demand.

Benefits of technology

It improves the matching, coordination, and stability of energy supply and production demand, reduces production delays, lowers energy usage costs, and enhances the level of green energy consumption and system adaptability.

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Abstract

The present application relates to a kind of central decision-making and port multi-capacity supply and demand intelligent collaborative management method of double-end execution, comprising the following steps: S1, based on the actual scene of port, constructs operating environment;S2, constructs port multi-capacity supply and demand intelligent collaborative management framework;S3, acquisition energy side and production side data, and synchronously give multi-capacity supply and demand coordination agent;S4, construct full-quantity data pool and carry out multi-capacity supply and demand prediction;S5, generate scheduling instruction by optimization algorithm, and pass instruction to port energy control intelligent agent and port production control intelligent agent;S6, to each energy unit of port is cooperatively controlled;S7, production task and equipment timing are dynamically optimized;S8, multi-capacity supply and demand coordination agent is based on the correction of predicted result to prediction result, subsequent scheduling decision is adjusted synchronously.The present application effectively improves the stability of port multi-capacity supply and demand collaborative operation, energy utilization efficiency and low carbon operation level, and has good engineering application value.
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