Abstract: A multi-object tracking method based on authenticity hierarchizing and occlusion recovery relates to the technical field of multi-object tracking for security management and control of complex scenes. The method includes the following steps: image acquisition, object detection, authenticity hierarchizing, hierarchical association and outputting tracks. The multi-object tracking method is helpful to solve the long-term puzzling occlusion problem in the field of multi-object tracking, the constructed new algorithm framework can achieve an advanced tracking performance, improve the adaptability of the method to complex environments, and adapt to more difficult video surveillance security control tasks.

Abstract: Disclosed is an intelligent on-line diagnosis method for winding deformation of power transformer. When a transformer is subjected to short-circuit shock or transportation collision, transformer windings may undergo local twisting, swelling or the like under the action of an electric power or mechanical force, which is called winding deformation and will cause a huge hidden danger to the safe operation of the power network. Commonly used diagnosis methods for winding deformation are all off-line diagnosis methods, which have the disadvantages that transformers need to be shut down and highly skilled operators are required. The present invention provide an intelligent on-line diagnosis method for winding deformation on the basis of combination of information entropy and support vector machine.

Abstract: Disclosed is an intelligent on-line diagnosis method for winding deformation of power transformer. When a transformer is subjected to short-circuit shock or transportation collision, transformer windings may undergo local twisting, swelling or the like under the action of an electric power or mechanical force, which is called winding deformation and will cause a huge hidden danger to the safe operation of the power network. Commonly used diagnosis methods for winding deformation are all off-line diagnosis methods, which have the disadvantages that transformers need to be shut down and highly skilled operators are required. The present invention provide an intelligent on-line diagnosis method for winding deformation on the basis of combination of information entropy and support vector machine.

Abstract: A method for obtaining a relation between a winding state and a leakage reactance parameter of a transformer by using simulation software is provided. The method includes: establishing a simulation transformer based on a size of a physical transformer; setting parameters of the simulation transformer, setting a winding of the simulation transformer in a predetermined winding state; obtaining a predetermined number of values of a leakage reactance parameter of the simulation transformer in the winding state; and performing statistics on all the values to obtain a value range of the leakage reactance parameter in a case that the winding is in the winding state. The value range is used as a value range of a leakage reactance parameter of the physical transformer in a case that a winding of the physical transformer is in the winding state.

Abstract: A method for obtaining a relation between a winding state and a leakage reactance parameter of a transformer by using simulation software is provided. The method includes: establishing a simulation transformer based on a size of a physical transformer; setting parameters of the simulation transformer, setting a winding of the simulation transformer in a predetermined winding state; obtaining a predetermined number of values of a leakage reactance parameter of the simulation transformer in the winding state; and performing statistics on all the values to obtain a value range of the leakage reactance parameter in a case that the winding is in the winding state. The value range is used as a value range of a leakage reactance parameter of the physical transformer in a case that a winding of the physical transformer is in the winding state.