2results about How to "Improve area coverage" patented technology

The invention provides a cooperative path planning method for searching and tracking an underwater target by a multi-USV unmanned cluster, and the method comprises the steps: introducing a pose-control quantity-time to carry out the three-dimensional double-chain coding of a population in an improved genetic algorithm, enabling a control instruction and an accurate execution timestamp to serve as a genetic gene, and enabling the control instruction and the precise execution timestamp to serve as a genetic gene in the crossover and mutation operation, timestamps, control quantities and poses are transmitted synchronously, and it is ensured that offspring individuals can inherit an excellent cooperation mode of a parent; during population initialization, USV is guided to preferentially cover a high-value region through region division and weighted Gaussian distribution, so that blindness caused by random initialization of a traditional genetic algorithm is overcome, and invalid search is avoided; a target for avoiding secondary search is designed in a fitness function, and repeated access to recently searched areas is quantified by introducing a concept of confidence time intervals, so that an algorithm actively explores unexplored water areas, waste of search resources is avoided, and accuracy and planning efficiency of multi-USV collaborative path planning are improved.

This invention relates to the field of photovoltaic technology and discloses a method for optimizing the design of photovoltaic arrays under airspace constraints. The steps include: constructing a predicted elevation model for the target area, screening feasible point sets for photovoltaic placement, extracting boundary contours and drawing new boundaries that meet airspace requirements, calculating the initial layout based on the horizontal line method, optimizing the layout using a genetic algorithm, and automatically drawing photovoltaic modules. This invention establishes a generalized automatic photovoltaic layout model for airports, which can fully utilize land resources, maximize power generation efficiency, and achieve optimal design of photovoltaic arrays under airspace constraints.