A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Research on Intelligent Highway Tunnel Ventilation System Based on Vehicle Identification Technology
With the increasing highway tunnel operating mileage in China, the traditional tunnel ventilation energy consumption is higher. This paper proposes an optimization method for the highway tunnel ventilation system. It first presents the mathematical model of tunnel ventilation principles and the air volume formula. Then, it proposes a new algorithm that improves not only the efficiency but also the accuracy of vehicle identification. Furthermore, based on two mathematical models, a ventilation system fuzzy control method is established. This method can dynamically adjust the operation strategy of the ventilation system to improve efficiency, reduce energy consumption, and ensure traffic safety and environmental quality. Finally, we demonstrate the reliability of the ventilation system and verify its effectiveness.
Research on Intelligent Highway Tunnel Ventilation System Based on Vehicle Identification Technology
With the increasing highway tunnel operating mileage in China, the traditional tunnel ventilation energy consumption is higher. This paper proposes an optimization method for the highway tunnel ventilation system. It first presents the mathematical model of tunnel ventilation principles and the air volume formula. Then, it proposes a new algorithm that improves not only the efficiency but also the accuracy of vehicle identification. Furthermore, based on two mathematical models, a ventilation system fuzzy control method is established. This method can dynamically adjust the operation strategy of the ventilation system to improve efficiency, reduce energy consumption, and ensure traffic safety and environmental quality. Finally, we demonstrate the reliability of the ventilation system and verify its effectiveness.
Research on Intelligent Highway Tunnel Ventilation System Based on Vehicle Identification Technology
Yan, Lixia (author)
2024-07-19
4535478 byte
Conference paper
Electronic Resource
English
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