A smart hydropower station that can predict its own life in real time
A technology for real-time forecasting and hydropower stations, applied in the field of intelligent hydropower stations, can solve the problems of unpredictability of remaining life, reduce the timeliness of hydropower station monitoring, increase the workload of hydropower station maintenance personnel, etc., achieve good interface interaction, improve the overall measurement accuracy, and facilitate the detection of problems Effect
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Embodiment 1
[0030] Embodiment 1: as figure 1 The combined cofferdam health prediction system under complex geological conditions shown includes:
[0031] (1) Monitoring module, including a wireless sensor network for monitoring the health of the hydropower station body, strain sensor components and displacement sensors for monitoring the dangerous parts of the hydropower station body, the wireless sensor network is fully covered to monitor the health structure of the hydropower station body, and at the same time , the network uses an advanced physical information fusion system to sense the healthy structure of the hydropower station in real time; the displacement sensor is based on the working base point used to monitor the displacement change of the dangerous part and the global reference point used to check the stability of the working base point. Three-dimensional spatial displacement monitoring, the dangerous parts, working base points and global reference points of the hydropower sta...
Embodiment 2
[0053] Embodiment 2: as figure 1 The combined cofferdam health prediction system under complex geological conditions shown includes:
[0054] (1) Monitoring module, including a wireless sensor network for monitoring the health of the hydropower station body, strain sensor components and displacement sensors for monitoring the dangerous parts of the hydropower station body, the wireless sensor network is fully covered to monitor the health structure of the hydropower station body, and at the same time , the network uses an advanced physical information fusion system to sense the healthy structure of the hydropower station in real time; the displacement sensor is based on the working base point used to monitor the displacement change of the dangerous part and the global reference point used to check the stability of the working base point. Three-dimensional spatial displacement monitoring, the dangerous parts, working base points and global reference points of the hydropower sta...
Embodiment 3
[0076] Embodiment 3: as figure 1 The combined cofferdam health prediction system under complex geological conditions shown includes:
[0077](1) Monitoring module, including a wireless sensor network for monitoring the health of the hydropower station body, strain sensor components and displacement sensors for monitoring the dangerous parts of the hydropower station body, the wireless sensor network is fully covered to monitor the health structure of the hydropower station body, and at the same time , the network uses an advanced physical information fusion system to sense the healthy structure of the hydropower station in real time; the displacement sensor is based on the working base point used to monitor the displacement change of the dangerous part and the global reference point used to check the stability of the working base point. Three-dimensional spatial displacement monitoring, the dangerous parts, working base points and global reference points of the hydropower stat...
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