4 results about "Field frequency" patented technology

A method for starting an EC motor having a stator and a rotor, comprising the steps of determining a first position of the rotor when the rotor is stationary by means of discrete signal injection, accelerating the rotor by means of a controlled rotating field, determining a speed of the rotor on the basis of a back EMF after reaching a predetermined rotating field frequency, comparing the speed determined, with a first predetermined speed value, and, if the speed determined is greater than the first predetermined speed value, determining a second position of the rotor on the basis of the back EMF and changing to a closed-loop operation on the basis of the back EMF.

A method of starting an EC motor comprising a stator and a rotor, comprising the steps of: a) determining a first position of the rotor when the rotor is at rest (101) by discrete signal injection; b) achieving acceleration of the rotor (103) by a controlled rotating field; c) determining a rotational speed of the rotor based on a back electromotive force after a predetermined rotating field frequency is reached in step b) (105); d) comparing the rotational speed determined in step c) to a first predetermined rotational speed value (107); and e) if the rotational speed determined in step c) is greater than the first predetermined rotational speed value: determining a second position of the rotor based on the back electromotive force, and switching to a closed loop operating mode based on the back electromotive force (109).

This invention discloses a method, system, and device for early warning of operational risks in information systems, specifically relating to the field of operational security and risk early warning technology. The method includes the following steps: collecting user data to generate an operation log correlation index; generating a data transmission integrity coefficient based on the operation log correlation index; generating a multi-source data correlation matrix based on the integrity coefficient; generating a multi-dimensional abnormal correlation threshold based on the multi-source data correlation matrix; and generating an operational risk warning level and handling suggestions based on the multi-dimensional abnormal correlation threshold. This invention improves the effectiveness of early warning for operational risks in information systems through multi-stage data processing, multi-technology integration, and multi-dimensional analysis. It collects and cleans user operation behavior data, combines a baseline log template with precise time windows to statistically analyze field frequencies, and improves the accuracy of the operation log correlation index, laying a reliable data foundation for subsequent analysis.

The application discloses a kind of turbulent flow adaptive steel casing intelligent leveling hoisting multi-modal control method and system, the method includes: in steel casing hoisting operation area, multiple-source sensor is laid out, and the original signal of each sensor is collected in real time, the observation of each sensor is obtained by normalizing the original signal, according to the preset multi-modal perception fusion function, the observation of each sensor is fused into fusion perception field;The corresponding frequency domain field is obtained by Fourier transform to fusion perception field, and the probability of frequency domain field frequency energy in each spectral energy box is calculated to calculate local spectral entropy, according to frequency domain field and local spectral entropy, turbulent flow adaptive frequency spectrum is calculated;The current attitude error vector of steel casing is mapped to by mapping operator through turbulent flow adaptive frequency spectrum, and according to target leveling attitude vector, tracking weight matrix and energy consumption balance penalty term, control vector is solved, and leveling instruction of each lifting point is generated by anti-normalization to control vector.