戴思 DAS 分布式光纤振动安全防护传感与监测技术制造商

一种基于分布式光纤全天候基挖监测技术 戴斯 具有高灵敏度等工程优势 (约 10N ε), 监控距离长 (最远可达数十公里), 定位精度高 (以米为单位), 无需户外电源, 部署便捷, 和强大的隐蔽性. 利用光纤中光脉冲的向后瑞利散射, 可以实现对光纤链路上的干扰信息的实时连续监测. 外部干扰信号（如开挖和爆破）通过产生土壤振动而引起光纤变形, 然后由 DAS 系统检测. 该技术使用分布式定量信号解调和模式识别技术来在线监测光纤沿线的干扰, combined with spatial positioning methods based on array signal processing for disturbance source stereo positioning, ultimately achieving distributed all-weather stereo monitoring.

With the continuous development of sensing technology, people’s demand for sensor technology is also increasing day by day. It is rare to find vibration sensors that simultaneously meet the conditions of high sensitivity, 低成本, simple preparation process, and good stability. In the process of sensing and detection, sensitivity and stability are the main technical influencing factors, while preparation process and cost are important influencing factors in industrial production. Vibration sensors that combine these advantages are receiving increasing attention and favor.
Fiber optic vibration sensing 技术是当光纤传感器受到外部干扰时，改变光纤中传输光特性的一种技术. 通过使用特殊的传感设备来收集和分析信号, 可以检测到光特性的变化, 从而检测物体的振动.

功能特点 分布式光纤振动监测系统

1. 可视化警报显示: 提供一个可视化显示界面，该界面映射 光纤 通过图形配置模块连接到映像. 一旦在某个时间点发生入侵事故, 告警信息直接显示在图像上, 这在视觉上是直观的.

2. 振动曲线显示: 系统可实时显示整根光缆的振动信号分布曲线. When the vibration signal strain is abnormal in a certain area, the real-time information of that area can be displayed through the curve.

3. Partition/graded event alarm: Provides multiple flexible alarm methods, and alarm parameters can be set in grades and regions.

4. Historical statistical analysis: Provides statistical analysis of historical vibration data, 包括: a The vibration distribution curve of different positions of the optical cable at a certain time b. The vibration change curve of a certain point of the optical cable during a certain period of time.

5. Intelligent pattern recognition: The system can obtain information such as the time, location, and trend of vibration events. By analyzing the vibration waveform and extracting characteristic signals, combined with big data, machine learning, 和神经网络识别算法, 可以确定振动事件的类型, 并且可以提前警告入侵事件，以确保作安全.

光纤温度传感器, 智能监控系统, 中国分布式光纤制造商