الشركة المصنعة ل مستشعر درجة حرارة الألياف البصرية, نظام مراقبة درجة الحرارة, محترف تصنيع المعدات الأصلية / أوديإم مصنع, تاجر الجمله, المورد.حسب الطلب.

البريد الالكترونى: fjinnonet@gmail.com |

المدونات

Distributed fiber optic sensing technology, intelligent railway system contact network monitoring,

مستشعر درجة حرارة الألياف البصرية, نظام مراقبة ذكي, الشركة المصنعة للألياف البصرية الموزعة في الصين

قياس درجة حرارة الألياف البصرية الفلورية جهاز قياس درجة حرارة الألياف البصرية الفلورية نظام قياس درجة حرارة الألياف البصرية الفلورية الموزعة

With the development of high-speed railway technology in China, higher requirements have been put forward for the monitoring technology of railway contact network system to ensure the safe operation of high-speed trains. In order to achieve real-time, efficient, and accurate performance in contact network monitoring technology, it is not only necessary to continuously improve existing monitoring methods, but also to continuously develop new and more advanced contact network monitoring technologies.

In recent years, distributed fiber optic sensing technology has been widely used in fields such as petroleum, communication, power, bridge and tunnel engineering due to its advantages of continuous monitoring, simple equipment lines, long transmission distance, high accuracy, and strong anti-interference ability. Optical fibers are easily affected by external factors such as temperature, اهتزاز, strain, الخ. during transmission, which can lead to changes in optical parameters such as intensity, phase, frequency, and polarization of the transmitted light. Distributed fiber optic sensing technology obtains corresponding information by monitoring changes in fiber optic parameters. The additional wires of the overhead contact system include power lines, flexible lines, parallel lines, reinforcement lines, return lines, positive feeders, protection lines, overhead ground wires, الخ. Although the additional wires of the overhead contact system do not directly contact the pantograph, their working status is closely related to driving safety. This article explores the implantation of optical fibers into the additional wires of the overhead contact system, using optical fibers as sensing media and adopting distributed optical fiber sensing technology to conduct long-distance, wide range, and continuous safety monitoring along the optical fiber line, achieving real-time monitoring of the working conditions of the additional wires of the overhead contact system.

Intelligent Additional Wire for Contact Network

Fiber optic implantation technology is a key technology for building intelligent perception and transmission parts in intelligent railway systems. The intelligent railway system includes millions of sensors, which enable enterprises to timely send and receive information, adjust resource allocation, and achieve optimal scheduling through sensor based networks and data analysis. Intelligent additional wires for the contact network implanted with optical fibers, combined with distributed optical fiber sensing technology, provide timely information on the working status of the contact network, warn of possible dangerous situations, and prevent equipment failures and accidents.

Distributed fiber optic sensing technology uses tens of kilometers of fiber optic cables as sensing and signal transmission components to continuously measure environmental physical parameters along the geometric path of the fiber optic cable in real-time.

Fiber optic sensors have the advantages of high sensitivity, flexible layout, passive outdoor, and long monitoring distance, which can overcome the shortcomings of electrical sensors and become the main direction for the future development of intelligent railways. The optical time domain reflection technology based on fiber backscattering is a mature distributed fiber sensing technology. Backscattered light is generated when a light pulse passes through an optical fiber. Distributed fiber sensing detects the backscattered light generated at various points along the fiber and corresponds it to the measured parameter. Then, based on the echo time, it locates the spatial distribution of the measured parameter.

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