ID	原文	译文
4463	实验仿真表明，所提方法与目前已有方法相比，在视频自动描述任务中取得了较好的效果。	Compared with the existing methods, experimental simulations results show that the proposed method achieves better results in thevideo automatic description task.
4464	针对矿山企业安全监测系统存在的可靠性差、覆盖面小、成本高昂、维护不力、预警不准等突出问题，提出了一种新的矿山微功耗安全监测物联网系统，可为矿山的生产作业安全提供有效的技术支撑。	In view of the problems existing in the safety monitoring system of China's mining enterprises, such as poorreliability, small coverage, high cost, weak maintenance and inaccurate early-warning, etc., a new safety monitoring IoT system with micro power consumption was proposed for Chinese mines to provide effective technical support for the safety of mine production and operation.
4465	所提系统突破了微功耗信息采集、故障诊断与自愈、无线网络节能通信和在线智能分析预警等关键技术，并在矿山企业的尾矿库在线监测、边坡监测和地压监测等典型业务中成功应用。	The key technologies such as micro-power consumption information collection,fault diagnosis and auto-recovery, energy-saving wireless communication, online intelligent data analysis and earlywarning had been broken through by the proposed system, which had been successfully applied in typical cases such asonline monitoring of tailings ponds, open-pit slop and ground pressure of domestic mining enterprises.
4466	现场实践表明，所提系统相对于现有常规安全监测系统更加适合矿山作业条件，智能传感器信噪比提升 1.4 倍，综合能耗降低 10%，可实现在线智能分析与快速预警。	Field practice shows that the proposed system is more suitable for mine operation conditions than the existing conventional safety mon-itoring system, the SNR of new sensor is increased by 1.4 times, the comprehensive energy consumption is reduced by10%, which is suitable for online intelligent analysis and rapid warning.
4467	针对目前井下定位存在的问题，设计了由多种传感设备、测绘设备和工控机组成的掘进机器人物联网，发展了一种新的井下定位方法，并据此构建了面向无人工作面的掘进机器人系统，应用所提机器人系统进行了实际作业实验。	To overcome the problems faced in underground positioning, the robotic roadheader mine Internet of things(IoT) was designed which connected multi sensors, surveying devices and industrial computers, and a novel positioningmethod was developed, based on which a robotic roadheader system was built. The robotic roadheader system was em-ployed for real-world tunnel cutting.
4468	实验结果和系统持续运行表明，所提定位方法实现了精确可靠的实时定位，均方根误差控制在 5 cm以内。基于所提定位方法的掘进机器人实现了对周围环境的实时精确感知和与周围环境的精准交互，从而实现了安全高效高精度的井下掘进，以及综掘面无人化。	The experimental results verifies the high accuracy of the positioning method, whichachieves an RMSE error less than 5 cm, and the robust running of the robotic roadheader indicates that the robotic road-header system can precisely perceive the surrounding environment and make precise interaction with the working envi-ronment, which yield a safety, high efficiency, and precisely underground tunnel building and coal mining and an un-manned working surface.
4469	基于光纤 Bragg 光栅（FBG）检测原理，研发了适用于地下空间安全监测应用的光纤风速、温度、湿度等多参数传感器。	Based on the principle of fiber Bragg grating detection, an optical fiber sensor for detecting wind speed andtemperature and humidity in underground space was designed.
4470	光纤风速传感器基于激光致热光纤热线式流量检测原理，对于低风速有较高的灵敏度，	The designed optical fiber wind speed sensor was based on the thermal flow detection method, which has high sensitivity to low wind speed.
4471	风速从0 变化到 0.5 m/s 时，FBG 波长变化量为 800 pm，采用解调精度为 1 pm 的光纤光栅解调仪，风速分辨率为 0.7 mm/s。	For the speed rising from 0 to 0.5 m/s, thewavelength variation is about 800 pm. For the demodulator with sensitivity of 1 pm, the speed resolution is 0.7 mm/s.
4472	光纤湿度传感器通过在 FBG 光栅表面均匀涂覆湿度敏感的聚酰亚胺溶液，湿度变化导致光纤应变变化进而实现湿度测量。对新型光纤光栅温湿度传感器的性能参数进行测试，实验测试结果显示，传感器监测灵敏度为 4.2pm/%RH ，检测精度小于±3%RH。	Fiber optic humidity sensor was fabricated by uniform surface coating of FBG element in polyimide solution, and detec-tion sensitivity of 4.2 pm/% RH was achieved with accuracy less than ± 3% RH.