5 results about "Harmony search" patented technology

Disclosed in the present invention is a target recognition method for an airborne navigation image based on harmony search of spatial entropy, comprising: using position distribution information of an image grayscale space to calculate a distribution entropy value of the image grayscale space, mapping the distribution entropy value into a uniform distribution function, and by means of linear transformation processing including 2D-DCT, transformation domain coefficient weighting, and inverse 2D-DCT, simultaneously enhancing global and local contrast of an original image. By incorporating the harmony search algorithm of the maximum entropy, although the algorithm is similar to the genetic algorithm, a multi-point crossover mode is used in the process of searching for a new solution in the field, so that the new solution is more diversified, and the probability of escaping from a local optimal solution is increased.

The invention discloses a transformer vibration sensor array optimization method based on improved harmony search, and the method comprises the steps: constructing a finite element model corresponding to a to-be-optimized transformer, carrying out the harmonic response analysis, and determining a transformer box wall vibration amplitude cloud picture under a key frequency; geometric constraint is carried out on the three-dimensional box wall surface of the transformer to be optimized through front abstraction, and a two-dimensional logic feasible region is formed; constructing a composite objective function for transformer vibration sensor array optimization; in the two-dimensional logic feasible region, executing a harmony search algorithm based on grouped multiplication to obtain an optimal harmony; and converting the two-dimensional logic coordinate combination corresponding to the optimal harmony into a three-dimensional physical coordinate combination on the surface of the three-dimensional box wall, and taking the three-dimensional physical coordinate combination as an optimal layout scheme of the transformer vibration sensor array. According to the method, the optimal coordinate combination of the plurality of vibration sensors on the wall of the transformer box is solved, so that the information capturing capability of a plurality of key vibration modes is the strongest under the condition that the physical constraint condition is met.

The invention discloses a photovoltaic inverter control parameter identification method based on an improved harmony search algorithm, and the method comprises the steps: firstly, carrying out the low-voltage ride-through fault test of photovoltaic power generation through an RT-LAB semi-physical simulation platform, and providing a test data set for parameter identification; secondly, aiming at a specified current control mode, on the basis of the test data set, identifying a current coefficient and a current set value by utilizing a weighted least square method, and taking the current coefficient and the current set value as initial values of a parameter to be identified; then, performing one-dimensional bilateral extension on the initial value to obtain a solution interval, establishing a multi-dimensional coordinate system by taking the to-be-identified parameter as an axis, mapping the solution interval to the multi-dimensional coordinate system, and establishing a solution space; and finally, improving a harmony search algorithm by adopting a reverse learning strategy and a self-adaptive strategy, optimizing the parameters to be identified in a solution space, and taking an optimal solution as an identification value of the control parameters. According to the photovoltaic inverter control parameter identification method based on the improved harmony search algorithm, electromechanical transient model control parameters can be accurately identified under the condition of considering working condition characteristics.

The invention discloses a hydrogen cooling system intelligent inspection planning method and system based on a harmony search algorithm, and belongs to the technical field of electric power intelligent inspection. The problem that in the prior art, a traditional hydrogen cooling system intelligent inspection method lacks self-adaptive dynamic planning capacity is solved. The operation state data of each device in the hydrogen cooling system is acquired in real time through the data acquisition module; performing feature extraction through a state evaluation module to obtain processed data, establishing a multi-dimensional state evaluation function, and performing multi-target optimization calculation on the inspection path through a harmony search optimization module by adopting a harmony search algorithm to obtain an optimization result; an optimal inspection route is generated through a route planning module; the inspection equipment is driven by the control execution module; and through the man-machine interaction module, alarming is carried out on the calibration result, and alarming information and path planning are displayed. The method effectively improves the efficiency of intelligent routing inspection, and can be applied to routing inspection path planning of the hydrogen cooling system.

The application discloses an image repairing method based on an evolution algorithm. The application realizes image repairing by using an improved evolution algorithm. In the improved evolution algorithm, a parameter of an image repairing model is optimized and designed by using a harmony search, a fusion factor is adaptively generated, information of an optimal candidate solution is used to guide a search direction of the algorithm based on the fusion factor, a new candidate solution is generated, and the new candidate solution is subjected to a superior and inferior state. The application uses the information of the optimal candidate solution to guide the search direction of the algorithm, improves optimization performance of the algorithm, and thus improves an image repairing effect.