The invention belongs to the technical field of
electricity-to-water metering and intelligent analysis of a
water pumping system. The invention provides a water taking metering
power consumption correction method based on a multi-dimensional operation
signal and
deep learning, aiming at solving the problem of
water volume false report caused by increase of actual
water demand and increase of
power consumption due to efficiency degradation / fault of a water pump, which cannot be distinguished by converting
electricity into water in the prior art. The invention provides the water taking metering
power consumption correction method based on the multi-dimensional operation
signal and
deep learning. According to the method, vibration, sound,
voltage / current waveform and other signals are collected, an electrical-mechanical-hydraulic three-layer initial atlas is constructed, a cross-layer
hypergraph is generated, hyperedge and pump curve prior constraints are indicated through load consistency and loss, a load or loss event is judged on the
hypergraph, and an event gating
signal is output; further aggregating energy
semantics on the edge-level
energy diagram along a physical consistent path of
electricity,
machine and water, decomposing the total power consumption into effective and invalid power consumption, marking the source of the invalid power consumption, and mapping the water quantity by the
effective power consumption; according to the method, fault
energy consumption can be avoided,
water consumption is counted, and meanwhile, supervision and operation and maintenance bases are provided.