34results about How to "Overcoming interference" patented technology

The invention discloses a conductor temperature measuring method and device for a detachable cable connector. The conductor temperature measuring device comprises a power taking module, a temperaturemeasuring module and a radio transmitting module. Besides, the method includes: S110, acquiring power from a conductive connecting member by a radio antenna and providing power for the temperature measuring module; S120, measuring the temperature of the conductive connecting member by using the temperature measuring module and measuring a temperature value or temperature change amount of the conductive connecting member; and S130, sending a temperature measuring result through the radio transmitting module by the radio antenna. According to the invention, the conductor temperature measuring device has characteristics of compact structure, high power taking efficiency and strong anti-interference ability; and the radio antenna serves as both a power taking component and a radio transmittingcomponent, so that the number of parts is reduced and the occupied space is reduced.

The invention discloses a displacement amplifying mechanism which comprises a rigid rod body, of the two end parts are respectively a displacement input end and a displacement output end; a first spherical hinge part which is arranged on the rigid rod body, wherein the distance between the first spherical hinge part and the displacement output end is larger than the distance between the first spherical hinge part and the displacement input end; a supporting seat which is used for supporting the rigid rod body; and a second spherical hinge part arranged on the support; wherein the first spherical hinge part and the second spherical hinge part are connected in a matched mode to form a spherical hinge structure. The two-dimensional movement of the displacement input end of the rigid rod bodyenables the rigid rod body to rotate around the sphere center of the spherical hinge structure, so that the two-dimensional motion displacement of the displacement input end is amplified and then transmitted to the displacement output end of the rigid rod body, and a two-dimensional motion synchronous negative response is formed, so that a two-dimensional driving coaxial-response displacement amplifying mechanism is formed.

The invention discloses a method for locating the out-of-step oscillation center position based on the minimum measured impedance, which comprises the following steps: according to the network frame structure of the power grid, observation points are set on both sides of the connection line of the power grid and several subordinate lines; The minimum measured impedance of the observation point in the out-of-step oscillation cycle; according to the minimum measured impedance of each observation point in the out-of-step oscillation cycle, determine the line where the out-of-step oscillation center is located; according to the line where the out-of-step oscillation center is located, locate the out-of-step Oscillation center position. The out-of-step oscillation center position positioning method based on the minimum measurement impedance of the present invention accurately locates the out-of-step oscillation center position according to the size and direction of the minimum measurement impedance of different observation points, and uses the minimum measurement impedance as a judgment basis, which improves the detection of changes in the operation mode of the power grid The adaptability, and the anti-interference ability to the large fluctuation of the power flow and the disorderly action of the control equipment in the process of out-of-step oscillation, have a good application prospect.

The invention discloses a Bayesian denoising method based on wavelet low frequency. The method comprises the following steps of: 1, inputting a natural image to be denoised; 2, selecting pixel blocks to be estimated; 3, selecting a central low-frequency-coefficient block; 4, determining a searching window; 5, selecting a low-frequency-coefficient block; 6, judging whether a constraint condition is satisfied; 7, computing a similarity weight value; 8, judging whether all points in the searching window are searched; 9, computing the recovery values of the pixel blocks to be estimated; 10, judging whether the natural image to be denoised is searched completely; and 11, integrating the recovery values. The similarity weight value is computed by using a wavelet low frequency coefficient. Compared with the conventional denoising method, the Bayesian denoising method has the advantages that: the edge and texture details of the natural image can be well kept and recovered while noise is well smoothened; and the Bayesian denoising method can be applied to denoising processing of the natural image.