针对智能变电站二次设备检修和故障隔离工作安全风险较高的问题,本文提出了智能变电站二次设备检修和故障隔离过程中的压板操作原则,并以一座220 k V智能变电站为例,对线路、主变压器、母线二次设备检修及故障隔离的具体操作进行分析,...针对智能变电站二次设备检修和故障隔离工作安全风险较高的问题,本文提出了智能变电站二次设备检修和故障隔离过程中的压板操作原则,并以一座220 k V智能变电站为例,对线路、主变压器、母线二次设备检修及故障隔离的具体操作进行分析,提出明确的操作顺序及设备陪停措施,可用于指导变电运行维护人员开展操作以及检修人员编制二次安全措施票,降低因人为失误造成的一次设备误跳闸或强迫停运事故发生的概率。展开更多
Extreme weather conditions（i, e. snow storm） in winter time have caused significant travel disruptions and increased delay and traffic accidents. Snow plowing and salt spreading are the most common counter-measures ...Extreme weather conditions（i, e. snow storm） in winter time have caused significant travel disruptions and increased delay and traffic accidents. Snow plowing and salt spreading are the most common counter-measures for making our roads safer for motorists. To assist highway maintenance authorities with better planning and allocation of winter maintenance re- sources, this study introduces an analytical model to estimate the required number of trucks for spreading operation subjective to pre-specified service time constraints considering road geome- try, weather and traffic. The complexity of the research problem lies in dealing with heteroge- neous road geometry of road sections, truck capacities, spreading patterns, and traffic speeds under different weather conditions and time periods of an event. The proposed model is applied to two maintenance yards with seven road sections in New Jersey （USA）, which demonstrates itself fairly practical to be implemented, considering diverse operational conditions.展开更多
文摘针对智能变电站二次设备检修和故障隔离工作安全风险较高的问题,本文提出了智能变电站二次设备检修和故障隔离过程中的压板操作原则,并以一座220 k V智能变电站为例,对线路、主变压器、母线二次设备检修及故障隔离的具体操作进行分析,提出明确的操作顺序及设备陪停措施,可用于指导变电运行维护人员开展操作以及检修人员编制二次安全措施票,降低因人为失误造成的一次设备误跳闸或强迫停运事故发生的概率。
基金supported by the New Jersey Department of Transportation and the Federal Highway Administration
文摘Extreme weather conditions（i, e. snow storm） in winter time have caused significant travel disruptions and increased delay and traffic accidents. Snow plowing and salt spreading are the most common counter-measures for making our roads safer for motorists. To assist highway maintenance authorities with better planning and allocation of winter maintenance re- sources, this study introduces an analytical model to estimate the required number of trucks for spreading operation subjective to pre-specified service time constraints considering road geome- try, weather and traffic. The complexity of the research problem lies in dealing with heteroge- neous road geometry of road sections, truck capacities, spreading patterns, and traffic speeds under different weather conditions and time periods of an event. The proposed model is applied to two maintenance yards with seven road sections in New Jersey （USA）, which demonstrates itself fairly practical to be implemented, considering diverse operational conditions.
