Laboratory intelligent layout optimization method and system for multi-energy experimental building

By constructing a multi-source spatial data system using BIM, the intensity and risk status of pollution sources can be identified, the minimum exhaust boundary can be assessed, and the equipment layout can be optimized. This solves the problems of ventilation path intersections and energy waste in multi-energy experimental buildings and achieves intelligent and collaborative layout optimization.

CN121543306BActive Publication Date: 2026-04-14CHINA RAILWAY CONSTRUCTION ENGINEERING GROUP
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Patent Information

Application Number
CN202610050463.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-01-15
Publication Date
2026-04-14
Estimated Expiration
2046-01-15

AI Technical Summary

Technical Problem

Traditional ventilation designs cannot adapt to the different operating conditions in multi-energy experimental buildings, resulting in problems such as gas stagnation, energy waste, and inability to dynamically respond to operating conditions when ventilation paths intersect.

Method used

By constructing a multi-source spatial data system using BIM, the geometric structure and equipment source items of the experimental area are analyzed to form spatial energy flow data, identify the impact intensity and risk status of pollution sources, assess the minimum exhaust boundary, and make dynamic corrections based on the energy flow coupling relationship to generate exhaust demand distribution, which is mapped to the fan operating frequency and terminal valve opening, thereby optimizing the equipment layout.

Benefits of technology

It realizes intelligent layout optimization of multi-energy experimental buildings, digitally expresses energy flow status, improves the scientificity, energy efficiency and safety of exhaust configuration, and enhances the automation and verifiability of layout planning.

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Abstract

The application discloses a laboratory intelligent layout optimization method and system for a multi-energy experiment building, and relates to the technical field of auxiliary layout optimization. The method comprises the following steps: S1, collecting space energy flow data and performing data preprocessing; S2, identifying the pollution source influence intensity in the experiment area, judging the leakage trend and retention tendency, and extracting the energy flow coupling relationship between regions; S3, evaluating the minimum exhaust boundary required by the experiment area, and performing dynamic correction on adjacent regions; S4, mapping the exhaust volume to the fan operating frequency and the end valve opening degree, and optimizing the equipment selection, pipe diameter ratio and end arrangement; S5, constructing a candidate layout generation and integrated evaluation mechanism, screening and obtaining an optimization scheme, and writing back to the BIM model. The problems of gas retention, energy waste and inability to dynamically respond to the operating state under the cross ventilation path due to the difficulty of traditional ventilation design to adapt to the differentiated working conditions of multi-energy regions are solved.
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