Risk Assessment and Wind Hazard Mitigation of Power Distribution Poles

Author(s):  
Yue Li ◽  
Mark G. Stewart ◽  
Sigridur Bjarnadottir
2019 ◽  
Vol 181 ◽  
pp. 397-412 ◽  
Author(s):  
Yongqiang Gong ◽  
Liang Cao ◽  
Simon Laflamme ◽  
James Ricles ◽  
Spencer Quiel ◽  
...  

Author(s):  
Pataya Scott ◽  
Daan Liang

AbstractTornadoes, hurricanes, and other extreme winds cause deaths, injuries, and millions, if not billions, of dollars in damages every year in the United States. Mitigation is necessary to reduce the loss of life, anxiety and suffering, and economic losses. But how much are people willing to invest in their peace of mind? Policy makers typically use the range of $1 million to $10 million per life saved to determine whether a policy that would save lives should be implemented. Individuals have shown that they are willing to pay more for homes with upgrades for mitigation and safety even though they would have no insurance incentive and it is likely that the added cost only affords them peace of mind.


2021 ◽  
Author(s):  
P. E. Paramitha

Health, safety, and environment (HSE) play a vital role and sits at the highest pedestal in the oil and gas industry. It should therefore be the top priority in the oil and gas industry as this function enables a reduction in potential hazards, including injuries, fatalities, damage to facilities, and occupational safety. Field workers typically use observation cards to report the potential hazards or discrepancies discovered in the field. However, in some companies, reporting is still done manually by filling out the observation cards in handwritten paper form and then manually submitted to the HSE supervisor. The supervisor will receive all the forms, input the data into spreadsheets, analyze the data, then make decisions to mitigate the hazard(s). These workflows are certainly time-consuming and prone to errors. Therefore, this paper aims to simplify these workflows by enabling digital system of records and geospatial information on HSE observation. Geographic Information System (GIS) form-based mobile application that integrates object location, mobile phone camera, and textual information was developed. In this paper, a GIS digital-based form that connects spatial data with attribute data is presented. Field workers can use this form to report any potential hazards and acquired pictures of evidence using mobile devices. The report will be transmitted to the server database through a web service, being visualized and analyzed to alert the potential hazards for pro-active action. In addition, this GIS form-based mobile application can also be used in a web-based application for office workers. This application will reduce errors while filling the observation cards or adding the data to sheets manually. It also time-efficient since the submitted reports can be monitored in real-time, and the follow-up action can be executed sooner. This will provide easier accessibility and better experience of hazard reporting anytime and anywhere, improve hazard mitigation, and better risk assessment.


2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Cunbin Li ◽  
Gefu Qing ◽  
Peng Li ◽  
Tingting Yin

With the increasing complication, compaction, and automation of distribution network equipment, a small failure will cause an outbreak chain reaction and lead to operational risk in the power distribution system, even in the whole power system. Therefore, scientific assessment of power distribution equipment operation risk is significant to the security of power distribution system. In order to get the satisfactory assessment conclusions from the complete and incomplete information and improve the assessment level, an operational risk assessment model of distribution network equipment based on rough set and D-S evidence theory was built. In this model, the rough set theory was used to simplify and optimize the operation risk assessment indexes of distribution network equipment and the evidence D-S theory was adopted to combine the optimal indexes. At last, the equipment operational risk level was obtained from the basic probability distribution decision. Taking the transformer as an example, this paper compared the assessment result obtained from the method proposed in this paper with that from the ordinary Rogers ratio method and discussed the application of the proposed method. It proved that the method proposed in this paper is feasible, efficient, and provides a new way to assess the distribution network equipment operational risk.


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