Die vervaardiger van Optiese vesel temperatuur sensor, Temperatuur monitering stelsel, Professionele OEM/ODM Fabriek, Groothandelaar, Verskaffer.aangepas.

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Distributed fiber optic vibration sensing monitoring host sensor production factory

Optiese vesel temperatuur sensor, Intelligente moniteringstelsel, Verspreide optiese veselvervaardiger in China

Fluorescerende veseloptiese temperatuurmeting Fluorescerende veseloptiese temperatuurmetingstoestel Verspreide fluoressensie vesel optiese temperatuur meting stelsel

Fiber optic is a commonly used communication medium, and in the era of rapid development of 5G technology, fiber optic has become increasingly important in IoT technology and social security. The impact of fiber optic working environment may directly affect the implementation of fiber optic functions. Dus, it is necessary to detect fiber optic vibration, especially in the event of destructive events, and to provide intrusion signal alarms for the use of fiber optic. Egter, the similarity and complexity of various intrusion signals make it quite difficult to detect and classify vibration signals for alarm. How to accurately identify various intrusion signals and reduce false alarm rates is the first technical challenge to be solved for intrusion signal detection in fiber optic vibration detection systems.

Fiber optic vibration sensors are generally used in the field of perimeter security, and typical applications include museums, sports venues, national defense communication optical cables, communication base stations, airports, train stations, railway lines, olie- en gaspypleidings, Ens.

Fiber optic sensors are both sensors and transmission channels. Compared with traditional electrical sensors, fiber optic sensors have advantages such as high measurement accuracy, strong resistance to electromagnetic interference, lightweight materials, good channel safety, long measurement distance, and continuous distributed measurement. By burying or laying detection optical fibers in the monitored structure, various physical information such as temperature, stress, strain, Ens. of the structure can be obtained through optical signals, thereby achieving real-time monitoring of abnormal conditions.

The entire system consists of a distributed fiber optic vibration sensing monitoring host, an analysis host, and an anti external damage monitoring system platform. All host equipment is installed in the same cabinet in the communication room of the substation. The monitoring host can achieve all-weather monitoring of external damage hazards along high-voltage cables laid in the same trench by utilizing one core of spare single-mode optical fiber already laid in the pipeline, which includes communication business optical cables. There is no need to lay another multi-mode optical fiber for transmitting and sensing vibration signals.

1. No installation is required along the route, and one core of spare optical fiber from the communication optical cable is taken as the sensing and transmission channel to connect to the monitoring host;

2. No blind spots in the entire construction line, achieving monitoring of external damage to high-voltage cables throughout the line;

3. The system architecture is simple, requiring only the installation of monitoring and analysis hosts in the communication room of the substation, without the need to install any additional sensors on the line;

4. A comprehensive warning system is in place. When there is a large machinery operating near the optical cable, the system will issue a warning and distinguish the alarm levels based on different threshold settings. If the large machinery is traveling near the optical cable or intersects with the optical cable route for a short time, the system will only record external damage hazards and will not issue warning messages;

5. It can identify the vibration signals of crushers, excavators, pipe jacking machines, exploration machines, pile drivers, handheld machinery (such as air picks), and underground pipe threading operations. The movement and operation signals of large construction machinery can be accurately distinguished.

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