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QFJ-1500自动测风经纬仪
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作者 桂会举 程绍荣 《科技开发动态》 1994年第3期44-44,共1页
关键词 自动测风经纬仪 微机控制 望远镜 打印内容 气象观
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智能通风技术在韩家湾煤矿的研究与应用 被引量:16
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作者 白铭波 姚亚虎 +1 位作者 罗广 高军伟 《矿业安全与环保》 北大核心 2021年第5期87-91,95,共6页
以韩家湾煤矿为研究对象,构建了基于基础参数动态感知、通风设备智能管控、区域反风与胶带火灾精准辨识、火灾分级预警与管控的智能通风决策管控平台,形成了测风无人化、调风自动化、区域反风智能化、火灾防控超前化四项关键技术,重点... 以韩家湾煤矿为研究对象,构建了基于基础参数动态感知、通风设备智能管控、区域反风与胶带火灾精准辨识、火灾分级预警与管控的智能通风决策管控平台,形成了测风无人化、调风自动化、区域反风智能化、火灾防控超前化四项关键技术,重点介绍了智能通风技术的技术体系及系统建设内容。该技术现场应用表明,实现了远程自动测风无人化、区域风量远程自动调控、区域反风远程控制,显著提高了韩家湾煤矿通风系统自动化和智能化水平。 展开更多
关键词 智能通 远程控制 自动测风 区域反 火灾防控
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多点移动式测风装置及关键技术 被引量:14
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作者 王恩 张浪 +1 位作者 李伟 桑聪 《煤矿安全》 CAS 北大核心 2016年第6期97-99,103,共4页
介绍了多点移动式测风装置工作原理,多点移动、精确定位、平均风速计算等关键技术;测风装置由电动机作为动力,丝杆作为传动装置,控制风速传感器在水平和竖直2个方向精确运动,通过编程控制风量测试位置和测试时间,降低了人工测风工作量,... 介绍了多点移动式测风装置工作原理,多点移动、精确定位、平均风速计算等关键技术;测风装置由电动机作为动力,丝杆作为传动装置,控制风速传感器在水平和竖直2个方向精确运动,通过编程控制风量测试位置和测试时间,降低了人工测风工作量,提高了风量测试的准确性;在王坡煤矿进行了现场试验,试验结果表明与人工测风相比准确率平均为96.31%。 展开更多
关键词 矿井通 多点移动 装置 平均 自动测风
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An Automated Ultrasonic NDT System for In-Situ Inspection of Wind Turbine Blades
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作者 Tat-Hean Gan Guoliang Ye +3 位作者 Ben Neal Alex Boot Vassilios Kappatos Cem Selcuk 《Journal of Mechanics Engineering and Automation》 2014年第10期781-788,共8页
It is crucial to maintain wind turbine blades regularly, due to the high stress leading to defects or damage. Conventional methods require shipping the blades to a workshop for off-site inspection, which is extremely ... It is crucial to maintain wind turbine blades regularly, due to the high stress leading to defects or damage. Conventional methods require shipping the blades to a workshop for off-site inspection, which is extremely time-consuming and very costly. This work investigates the use of pulse-echo ultrasound to detect internal damages in wind turbine blades without the necessity to ship the blades off-site. A prototype 2D ultrasonic NDT (non-destructive testing) system has been developed and optimised for in-situ wind turbine blade inspection. The system is designed to be light weight so it can be easily carried by an inspector onto the wind turbine blade for in-situ inspection. It can be operated in 1D A-scan, 2D C-scan or 3D volume scan. A software system has been developed to control the automated scanning and show the damage areas in a 2D/3D map with different colours so that the inspector can easily identify the defective areas. Experiments on GFRP (glass fibre reinforced plastics) and wind turbine blades (made of GFRP) samples showed that internal defects can be detected. The main advantages of this system are fully automated 2D spatial scanning and the ability to alert the user to the damage of the inspected sample. It is intended to be used for in-situ inspection to save maintenance time and hence considered to be economically beneficial for the wind energy industry. 展开更多
关键词 ULTRASOUND non-destructive testing wind turbine blade glass fibre reinforced plastics defect detection.
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