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Saudi Arabia Digital Intelligent Distribution Automation System Project Shocking Debut !


Zhejiang Rockwell Energy Technology Co., Ltd. has been specialising in power automation protection devices and distribution network automation systems for many years. Recently, in Saudi Arabia, a digital intelligent distribution network automation system project, which leads the innovation of power industry, was officially launched. It is committed to bring new changes to the Saudi Arabia power market. This digital intelligent distribution automation system has many significant advantages. In terms of hidden danger monitoring, based on advanced target detection algorithms, the system is able to accurately identify a variety of hidden danger scenarios, such as foreign objects in wires and intrusion of construction machinery, with a detection accuracy rate of more than 85%, which provides solid technical support for the rapid elimination of hidden dangers and greatly reduces the probability of faults occurring. At the same time, it adopts advanced deep learning model pruning and quantification technology to reduce the size of the hidden danger detection algorithm model to 25% of the original, achieving rapid deployment and real-time processing, shortening the response time of hidden danger in distribution lines to 25ms, and efficiently guaranteeing the safe and stable operation of the distribution network. By deploying a visual inspection system that fully covers distribution lines, the system can achieve 24-hour intelligent monitoring, accurately grasp line hazards and environmental changes, complete the leap from traditional manual inspection to remote intelligent warning, significantly improve the intelligent level of distribution network management, and effectively reduce operating costs. For the majority of electric power practitioners, the project is an unparalleled opportunity. Adopting this system can significantly improve power supply reliability, reduce outage time, and enhance customer satisfaction; efficient hidden trouble detection and processing mechanism can reduce the difficulty and cost of operat
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