2results about How to "Guaranteed time consistency" patented technology

This invention discloses an online deviation calibration method and system for electricity meters, relating to the field of electricity detection technology, including the following steps: S1: Constructing a hierarchical topology measurement relationship for the distribution area and collecting metering data from the main meter and user electricity meters in the distribution area, while simultaneously collecting hierarchical node data from the meter box metering module and the branch box metering module, triggering control for the collection of frozen electricity, and completing meter synchronization before collecting frozen electricity, recording the clock deviation during the synchronization process and forming a unified time reference; S2: Performing time series information compression and anomaly detection based on the multi-dimensional dynamic and static data distribution changes of the distribution area and electricity meters. Based on the energy conservation of hierarchical topology measurement and time-frozen electricity, this invention introduces a decodeable calibration watermark beacon excitation and, through related decoding inversion path loss constraints, combines non-convex sparse multi-objective solution with uncertainty threshold constraints to achieve quantitative calibration output of online deviation of electricity meters.

The invention discloses a fault diagnosis method and system driven by flight parameters of a long-endurance unmanned aerial vehicle, and relates to the technical field of unmanned aerial vehicles, and the method comprises the steps: receiving multi-source flight data remotely transmitted by the unmanned aerial vehicle, and uniformly mapping the multi-source flight data to a global reference time axis for sampling continuity analysis, so as to recognize a missing section; for a continuous missing section, inputting a continuous flight parameter sequence before and after construction into a bidirectional time sequence estimation model, performing dynamic length prediction compensation to obtain a continuous flight parameter sequence, and performing flight state backtracking reconstruction based on a state space model to obtain a backtracking flight state sequence; extracting a multi-dimensional state feature vector from the backtracking flight state sequence, generating a fault diagnosis result by using a fault diagnosis model, constructing a fault evolution path and determining a fault cause by combining flight parameter abnormal trend analysis, parameter correlation analysis and environmental parameter auxiliary analysis, and realizing remote backtracking of the flight parameters of the long-endurance unmanned aerial vehicle. And the reliability of fault diagnosis is improved.