3 results about "Energy rate" patented technology

An electronic device, according to one embodiment, may comprise: an input interface for receiving an operation mode from a user; a communication interface for performing communication with an external device, including a server device or a user device, so as to acquire, from the external device, time series data, including at least one among energy rate data or carbon intensity data per time period, and user-set energy consumption data; and a processor for obtaining processed time series data on the basis of a value derived by adding a correction value to the time series data, and determining a recommended operation time period on the basis of the processed time series data and the user-set energy consumption data.

The application discloses a rock damage strength identification and instability discrimination method based on energy rate response difference, obtains rock elastic strain energy and dissipation strain energy through axial stress-strain curve data, calculates rock sample elastic energy rate and dissipation energy rate data through differential calculation of energy parameters on strain, and determines the damage strength value of the rock sample through the peak value of the energy rate response difference curve of the elastic energy rate and the dissipation energy rate difference, so that the instability state of the rock material can be judged. The method does not need to monitor additional data, is simple to operate, has a unique identification point, is good in objectivity, and is relatively accurate and reliable in identification result.

The invention relates to the technical field of power transmission and transformation equipment monitoring, in particular to a weak traveling wave capturing method based on energy change rate kurtosis and phase spectrum order degree, and the method comprises the steps: collecting and processing a traveling wave signal of a line, and obtaining a preprocessing signal; screening based on sliding window kurtosis to obtain an energy mutation event; and judging whether a fault occurs based on the cross-scale phase gradient entropy. In order to solve the problem that online detection and extraction of traveling wave signals are relatively difficult in the prior art, two screening processes of sliding window kurtosis and cross-scale phase gradient entropy based on the energy change rate are introduced, extremely weak signal mutation can be reliably captured from strong noise by detecting the kurtosis of the energy change rate instead of the energy amplitude value, and the signal detection accuracy is improved. The problem of report failure caused by low signal-to-noise ratio of a traditional method is solved. According to the cross-scale phase gradient entropy criterion, fault traveling waves and random noise with physical rules can be effectively distinguished from the internal structure order of the signals, and the false alarm rate is greatly reduced.