发电厂巡检机器人气体环境智能检测性能研究

目的:通过探究环境、温度和腐蚀对发电厂巡检机器人检测的影响,探究发电厂巡检机器人气体环境智能检测性能。方法:本文选择适应于不同环境条件的巡检机器人5台,以此来开展相应的实验。结果:发电厂巡检机器人在温度和热度上的气体环境智能检测性能更好,能够满足实际使用需求。

机车蓄电池智能充放电及检测的设计与实现

机车蓄电池在性能降低或个别蓄电池单体故障的情况下,使用现有设备对整组48节电池组进行充放电维护,会出现整体充电不足、局部过热的现象,不仅会对电池组造成二次伤害,甚至损坏整组电池。设计的蓄电池智能检测与充放电方式相结合的方案,解决了问题。

Hydrophilic characteristics of soft rock in deep mines

A series of water absorption tests on dried soft rock have been conducted by the intelligent testing system for water absorption tests in deep soft rock, including tests of water absorption with and without pres- sure. The results show that the water absorbing capacity of rock with a certain pressure is larger than that of rock without pressure： however, the relationship between the water absorbing percentage and the time can be expressed by w（t） = a（l - e^-bt）. In hi-logarithmic coordinates, the hydrophilic relationship with time in tests with pressure could be characterized by linearity, while they present concave or convex in tests without pressure. Based on the hypothesis that each influential factor is irrelevant and they have a linear correlation with the water absorbing capacity, we calculated the weight coefficient of each factor according to experimental results under different conditions. The calculations demonstrate that the effec- tive porosity, content of smectite and kaolinite are all positively correlated with the water absorption capacity of rock; meanwhile, the fractal dimension of the effective pores presents a negative correlation with the water absorption capacity of rock. The water absorption capacity with pressure increases with increasing illite, chlorite and chlorite/smectite formation and a decrease in illite/smectite formation and the fractal dimension of the effective pores, while it is opposite in tests without pressure. The weight coefficient of smectite is smallest among positive factors, and the fractal dimension of the effective pores is the smallest amongst the negative factors.

中国路面工程学术研究综述·2024

近年来,中国公路建设成果斐然,路网规模快速增长、关键技术不断突破。为进一步提升中国路面工程学科水平及国际影响力,推动路面工程可持续、高质量发展,从公路韧性评估与恢复、长寿命路面结构与材料、公路交通能源自洽、低环境影响公路技术、路面材料基因与高通量、公路数字化及智能化、公路智能检测与高性能养护等七大研究方向,系统梳理了近年来国内外路面工程的发展现状、前沿热点问题与未来发展趋势。具体围绕公路绿色化、韧性化、智能化、长寿命与交能结合等领域,遴选了20个热点研究方向,涵盖公路致灾因素及失效机理、公路韧性评估与恢复、公路韧性提升关键技术、公路长寿命路面结构足尺试验、公路结构与功能寿命增强技术、公路清洁能源采集技术、公路能源自洽设计、公路路域环境影响测试与评估方法、低环境影响路面新材料、沥青路面温拌再生技术、路面材料基因研究、路面材料跨尺度计算、路面材料基因与高通量研究、公路数字化建模技术、公路数字孪生仿真技术、公路运维数据驱动技术、公路探地雷达检测技术、路面性能轻量化检测、公路沥青路面抗滑性能检测及恢复技术、公路高性能预防养护技术等主要内容。该综述可为中国路面工程学科发展提供指引和参考,为路面工程领域研究人员与技术人员提供参考和借鉴。