Discussion on Design of Ventilation and Smoke Prevention and Exhaust in Hvac
DOI:
https://doi.org/10.53469/wjimt.2025.08(04).05Keywords:
Heating And Air Conditioning, Ventilation, Smoke Prevention And Exhaust, DesignAbstract
With the development of the construction industry and the acceleration of the urbanization process, the national building safety and quality of life put forward higher requirements. In the planning and construction process, heating and air conditioning is the most important part that affects people's quality of life and safety. Only by fully considering the effective role of heating and air conditioning can we ensure people's quality of life. Therefore, in the construction and design of heat conduction air conditioning, attention should be paid to the design of gas insulated air conditioning, in order to ensure the practicality, scientific nature, ventilation and smoke prevention and exhaust of gas insulated air conditioning. This requires experienced designers to improve the overall quality, improve ventilation and avoid the pitfalls of the smoking concept. This paper mainly analyzes the ventilation and smoke prevention design of heating and air conditioning system.
References
Shen, Z., Wang, Y., Hu, K., Wang, Z., & Lin, S. (2025). Exploration of Clinical Application of AI System Incorporating LSTM Algorithm for Management of Anesthetic Dose in Cancer Surgery. Journal of Theory and Practice in Clinical Sciences, 2, 17-28.
Wang, Y., Shen, Z., Chew, J., Wang, Z., & Hu, K. (2025). Research on the Cross-Industry Application of Autonomous Driving Technology in the Field of FinTech. International Journal of Management Science Research, 8(3), 13-27.
Wang, Z., Shen, Z., Chew, J., Wang, Y., & Hu, K. (2025). Intelligent Construction of a Supply Chain Finance Decision Support System and Financial Benefit Analysis Based on Deep Reinforcement Learning and Particle Swarm Optimization Algorithm. International Journal of Management Science Research, 8(3), 28-41.
Wang, Y., Shen, Z., Hu, K., Yang, J., & Li, C. (2025). AI End-to-End Autonomous Driving.
Chen, J., Zhang, X., Wu, Y., Ghosh, S., Natarajan, P., Chang, S. F., & Allebach, J. (2022). One-stage object referring with gaze estimation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 5021-5030).
Liu, S., Zhao, Z., He, W., Wang, J., Peng, J., & Ma, H. (2025). Privacy-Preserving Hybrid Ensemble Model for Network Anomaly Detection: Balancing Security and Data Protection. arXiv preprint arXiv:2502.09001.
Jin, T. (2025). Attention-Based Temporal Convolutional Networks and Reinforcement Learning for Supply Chain Delay Prediction and Inventory Optimization.
Lyu, T., Gu, D., Chen, P., Jiang, Y., Zhang, Z., & Pang, H. & Dong, Y.(2024). Optimized CNNs for Rapid 3D Point Cloud Object Recognition. arXiv preprint arXiv:2412.02855.
Zheng, S., Liu, S., Zhang, Z., Gu, D., Xia, C., Pang, H., & Ampaw, E. M. (2024). Triz method for urban building energy optimization: Gwo-sarima-lstm forecasting model. arXiv preprint arXiv:2410.15283.
Pang, H., Zhou, L., Dong, Y., Chen, P., Gu, D., Lyu, T., & Zhang, H. (2024). Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis. arXiv preprint arXiv:2412.03961.