Industry Profile
车载导流式消防炮喷射反力研究.
| Τίτλος: | 车载导流式消防炮喷射反力研究. (Chinese) |
|---|---|
| Alternate Title: | Research on Jet Reaction Force of Onboard Deflector-Type Fire Monitors. (English) |
| Συγγραφείς: | 孙建平, 刘富荣 |
| Πηγή: | Construction Machinery & Equipment; 10/10/2026, Vol. 57 Issue 10, p59-63, 5p |
| Θεματικοί όροι: | Fluid dynamics, Reaction forces, Firefighting equipment, Artificial neural networks, Testing laboratories, Mathematical models, Water jets |
| Abstract (English): | As the core spray device of mobile firefighting systems, the performance of a deflector-type fire monitor directly determines the range, flow rate and coverage efficiency of fire extinguishment. Through internal deflector and nozzle structure, this device converts high-pressure liquid water into a high-momentum jet. In water tower fire trucks or high-flow long-range water supply systems, the immense jet reaction force may cause instability of or even structural damage to the equipment. Based on methods of theoretical modelling and experimental testing, the jet reaction force of fire monitors under different operating conditions was investigated. First, a theoretical computational model for the jet reaction force of fire monitors was established based on the fluid dynamics analysis theory; second, an experimental test platform for the jet reaction force was built to verify the accuracy of the theoretical computational model; finally, based on the experimental test data, a prediction model for the jet reaction force was constructed using a BP neural network. The research findings have guiding significance for the precise calculation of the jet reaction force of fire monitors and for enhancing the engineering applicability and reliability of firefighting equipment. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): | 导流式消防炮作为移动式消防系统的核心喷射装置, 其性能直接决定了灭火的射程、流量以及覆盖效率。该 装置通过内部导流与喷嘴结构, 将高压液态水转化为具有高动量的射流。在高喷消防车或大流量远程供水系统中, 巨 大的喷射反力可能导致装备失稳甚至结构损坏。基于理论建模和试验测试的方法, 探讨消防炮不同作业工况下的喷射 反力。首先, 基于流体动力学分析理论, 建立消防炮喷射反力理论计算模型;其次, 搭建喷射反力试验测试平台, 验证理 论计算模型的准确性;最后, 基于试验测试数据, 采用BP 神经网络构建喷射反力预测模型。研究成果对于消防炮喷射 反力的精确计算、提升消防装备的工程适用性与可靠性具有指导意义。. [ABSTRACT FROM AUTHOR] |
| Copyright of Construction Machinery & Equipment is the property of Construction Machinery & Equipment Editorial Office and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
καταχωρήστε σχόλιο πρώτοι!