An online pipe network anomaly detection system based on machine learning
A machine learning and anomaly technology, applied in the field of online pipe network anomaly detection system, can solve the problems of large geographical scale of pipelines and high complexity of water use characteristics, so as to save manpower and improve the abnormal recognition rate
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[0056] This embodiment takes the abnormality detection of the water supply network as an example. Other online pipeline networks such as electric power, telecommunications, network, communication, heat, gas, etc. are similar to their methods, and will not be repeated here.
[0057] figure 1 A network architecture for detecting anomalies in high-availability facility pipe networks. The sensors in each group can be hydraulic data or water quality data sensors, and the sensor data at adjacent geographical locations are combined together as data packets and sent by the data acquisition unit. The data distribution unit receives the measurement data of the sensor, converts the data into a format that meets the post-processing requirements of the subscribers, and publishes it. The server hosts in the operation center are connected to each other in a mesh topology in a local area network (LAN). A mesh topology is preferred for virtual machine migration on different server hosts. Th...
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