Permafrost Subgrade Cooling via Predictive Heat Absorption
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Solution Overview
Problem
Existing permafrost subgrade cooling systems are unable to cool flexibly according to real-time conditions, leading to low cooling efficiency in warm seasons, uneven cooling throughout the year, and difficulty in preventing damage from subgrade thawing and settlement.
Innovation Solution
A method and system for controlling ventilation cooling type permafrost subgrade based on energy dynamic balance, which involves constructing a heat absorption predicting model using a seed point algorithm and controlling a cooling system to operate based on predicted heat absorption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If natural ventilation cooling is used in permafrost subgrade, then cooling is achieved in cold season, but cooling efficiency is low in warm season and cooling is uneven throughout the year
Solution Approach 1:
The patent applies dynamics by transitioning from static natural ventilation to dynamic active cooling control. The system uses real-time temperature monitoring and predictive modeling to dynamically adjust cooling system operation, enabling flexible response to changing thermal conditions throughout the year, particularly improving warm season cooling effectiveness.
Solution Approach 2:
The patent implements preliminary action through predictive heat absorption modeling. The system predicts future heat absorption based on environmental parameters and subgrade thermal state, allowing the cooling system to be activated in advance before critical thawing occurs, thereby preventing rather than merely responding to thermal problems.
2Reliability
If natural ventilation cooling is used, then simple structure is maintained, but ability to prevent subgrade thawing and settlement damage is insufficient
Solution Approach 1:
The patent applies feedback through a closed-loop control system that continuously monitors subgrade temperature, environmental parameters, and thermal state. This real-time feedback enables the system to assess actual cooling effectiveness and adjust operation accordingly, significantly improving reliability in preventing thawing and settlement damage.
Solution Approach 2:
The patent replaces purely passive mechanical ventilation with an intelligent control system that uses predictive modeling and real-time data processing. This substitution transforms the system from simple natural convection to an actively managed thermal control system, enhancing protective capability while managing complexity through software-based solutions.
3Adaptability or versatility
If fixed cooling operation is used, then system operation is simple, but flexibility to cope with extreme climatic events is insufficient
Solution Approach 1:
The patent implements self-service through autonomous predictive control. The system automatically monitors environmental parameters, predicts heat absorption, and adjusts cooling operation without manual intervention. This self-managing capability provides high adaptability to extreme climatic events while maintaining ease of operation through automated decision-making.
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting cooling system operation parameters based on predicted thermal conditions. The system modifies cooling intensity, timing, and duration according to real-time environmental parameters and subgrade thermal state, enabling flexible adaptation to varying climatic conditions including extreme events.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for real-time adjustment of the cooling system, preventing uneven cooling and ensuring the stability of the permafrost subgrade, even during extreme climatic events and sudden environmental changes.
Implementation Method 1
ventilation cooling type permafrost subgrade
Data Source
AI summary
The invention provides a method and system for controlling ventilation cooling type permafrost subgrade based on energy dynamic balance, wherein the method comprises the steps of constructing a heat absorption predicting model; and inputting an operating condition combination of a permafrost subgrade into the heat absorption predicting model to produce a predicted heat absorption for the permafrost subgrade, and controlling a cooling system to operate based on the predicted heat absorption. The heat absorption predicting model is constructed based on a seed point algorithm of formula matrix, which comprises the steps of producing a known fitting formula; establishing a formula matrix; and calculating a predictive fitting formula corresponding to a new seed point by known seed points in the formula matrix and an index formula, and then calculating the predicted heat absorption based on the predictive fitting formula.