Winter construction reinforced concrete electromagnetic curing method and system based on layered progressive mathematical control architecture

By using a hierarchical, progressive mathematical control architecture and an electromagnetic induction heating device, the problems of insufficient control precision and high energy consumption in winter concrete curing have been solved, and precise temperature control and energy efficiency optimization of large-volume reinforced concrete components in extreme environments have been achieved.

CN121934431APending Publication Date: 2026-04-28HEBEI UNIV OF TECH +1
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Patent Information

Application Number
CN202610137221.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-30
Publication Date
2026-04-28

AI Technical Summary

Technical Problem

Existing technologies for winter concrete curing suffer from insufficient control precision, high energy consumption, and difficulty in coping with curing challenges in complex and extreme environments, especially in terms of weak logic in large-scale distributed regional collaboration.

Method used

By adopting a hierarchical progressive mathematical control architecture, and through offline modeling and initialization, multi-source data acquisition, real-time state and parameter synchronous estimation, multi-objective sub-Bruker optimization and distributed collaborative tracking, combined with an electromagnetic induction heating device, precise temperature control of reinforced concrete components is achieved.

Benefits of technology

It improves the quality reliability, thermal energy utilization efficiency and system disturbance resistance of winter concrete curing, ensures the uniformity and safety of large-volume reinforced concrete components in extreme cold environments, and reduces energy consumption.

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Abstract

The embodiment of the invention provides a winter construction reinforced concrete electromagnetic curing method and system based on a layered progressive mathematical control framework, and belongs to the technical field of crossing of intelligent construction, advanced process control and computational mathematics. The method comprises the following steps: acquiring temperature, hydration degree and environmental parameters in real time, performing space-time fusion with electromagnetic heating input, constructing a maintenance state feature vector, establishing a parameterized grey box prediction model based on a multi-physics coupling mechanism, and realizing online joint estimation of state and model parameters by combining Bayesian inference and unscented Kalman filtering. On this basis, distributed robust model predictive control is introduced, modeling is carried out on external disturbance uncertainty, an optimal heating strategy is generated, finally, execution of all heating subareas is coordinated through a distributed cooperative control algorithm, global optimization of the maintenance process is achieved, the temperature difference risk in winter construction is effectively reduced, and the maintenance efficiency is improved. The maintenance energy efficiency and the system operation stability are improved.
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