考虑矿井水害中多因素影响下涉险人员危险性的科学评价是人员应急疏散救援工作的重要研究内容。目前在水害中涉险人员的危险判断主要依赖经验，带有一定的盲目性，试验研究却鲜有报道。鉴于此，构建矿井突水巷道涉水人员稳定性物理模拟试验模型，开展不同巷道坡度上多种水流条件下圆柱体模型力学监测、人员涉水站立稳定性和涉水行走速度测试研究。通过试验数据分析，提炼矿井水害应急逃生过程中人员涉水稳定性和涉水行走安全速度潜在关系，以揭示矿井突水巷道中人员涉水逃生和巷道坡度、水流等因素的规律。试验研究结果表明：① 圆柱体模型力学监测试验中，随着进入巷道模型来流的单宽流量增大，距坡面5 cm高处传感器其60 s监测力的时均值和最大值均呈正相关性；其中力学监测值以一个范围“带”的方式出现，在均值水平上下波动变化，服从近似正态或正态分布；而45 cm高处的传感器出现被拉伸状态，表明人体在巷道水流作用下会出现滑移失稳的危险可能；② 人体站立稳定性测试中，在涉水逃生中同一水流条件人员不同站立姿态下，涉水稳定性差异明显，表明人体的有效迎流面积大小变化对稳定性影响关键且敏感；③ 巷道10°、15°和20°斜坡上人员涉水行走试验分析中，人员涉水行走平均速度下降为0.2 m/s左右时，人体涉水站立相当困难，可称其为涉水行走安全速度阈值；同时，提出“上游水位×拟合斜率+无水速度截距”式表征涉水行走安全速度与进水水位之间的线性负相关性，并可拟合确定预测函数；④ 在巷道斜坡上人员进行逆水上坡行走、顺水下坡行走和无水上坡、无水下坡多种测试，通过数据统计分析揭示人员在巷道斜坡上逆水上坡和顺水下坡与坡度的线性负相关性，提出“坡度×拟合斜率+水平速度截距”式拟合确定具体预测函数。开展矿井水害中巷道上涉水人员稳定性物理模拟试验，揭示人员涉水疏散的稳定性和安全速度阈值潜在规律，以期推动水害智能应急救援的理论优化和定量模型研究发展，为矿井水害智能应急救援系统辅助决策等研究建设提供科学支撑。

It is an important research content of emergency evacuation and rescue work to evaluate the hazard of personnel under the influence of multiple factors in mine water disasters. At present, the hazard judgment of people involved in water disasters mainly depends on experience, with certain blindness, but there are few reports on experimental research. Given this, a physical simulation test model for the stability of wading personnel in mine water inrush roadway was constructed, and mechanical monitoring of the cylinder model, standing stability of wading personnel, and wading speed testing were carried out under various flow conditions on different roadway gradients. Through the analysis of test data, the law of personnel wading stability and safety speed during the emergency escape of mine water disaster is extracted to reveal the potential relationship between personnel wading escape in mine roadway and roadway slope, water flow, and other factors. The experimental research results show that: ① In the mechanical monitoring test of the cylinder model, with the increase of the water level entering the roadway model, the average and maximum time of the monitoring force of the sensor at a height of 5 cm away from the slope are positively correlated; The mechanical monitoring values appear in a “band” mode, fluctuate up and down the mean level, and follow the approximate normal or normal distribution. The stretched state of the sensor at the height of 45 cm indicates that the human body may slip and lose stability under the action of roadway water flow; ② In the test of human standing stability, the difference in human standing stability is obvious under different standing posture in the same current condition, which indicates that the change of the effective area of the human body has a key and sensitive influence on the stability; ③ In the test analysis of people wading on 10°, 15° and 20° of roadway slope, when the average speed of people wading drops to about 0.2 m/s, it is very difficult for human body to stand wading, which can be called the safe speed threshold of wading. At the same time, the formula “upstream water level × fitted gradient + anhydrous velocity intercept” is proposed to characterize the linear negative correlation between the safe wading speed and the inlet water level, and the prediction function can be fitted; ④ A variety of tests were carried out on the roadway slope for personnel to walk uphill against water, downhill with water, slope without water, and downhill without water. Through statistical analysis of the data, the linear negative correlation between the slope against water and downhill with water and the slope of personnel on the roadway slope was revealed, and the formula of “slope × fitted gradient + horizontal velocity intercept” was proposed to determine the specific prediction function. The physical simulation test of the stability of wading personnel on the roadway in a mine water disaster is carried out to reveal the potential law of the stability and safety speed threshold of personnel wading evacuation, to promote the theoretical optimization and quantitative model research and development of intelligent water disaster emergency rescue, and provide scientific support for the study and construction of auxiliary decision-making of intelligent mine water disaster emergency rescue system.