34results about How to "Reduce planning costs" patented technology

The invention discloses an aircraft penetration trajectory planning method based on an RRT* algorithm and belongs to the field of aircraft trajectory planning. The implementation method disclosed in the present invention comprises the following steps: based on RCS data of an aircraft under different attitudes in a circumferential direction, a radar detection probability model is established to determine the probability that the aircraft is detected by radar during penetration processes; an aircraft penetration trajectory planning model is established based on a Dubins path; based on the RRT* algorithm and the aircraft penetration trajectory planning model, penetration trajectory planning is conducted, that is, the penetration trajectory planning is conducted based on combination of asymptotic optimality of the RRT* algorithm and a feature of a shortest Dubins path, the cost of aircraft penetration trajectory planning can be effectively reduced, an aircraft penetration trajectory can beobtained, and effective penetration of the aircraft can be achieved. Since no numerical integration method is needed for the Dubins path to solve a dynamic model, a principle to solve based on a geometric method, and therefore efficiency of the trajectory planning can be improved. The aircraft penetration trajectory planning method disclosed in the invention can be applied to stealth penetrationtrajectory planning of the aircraft, and is especially suitable for the stealth penetration trajectory planning of an airplane.

The invention discloses a method for coordinated planning of a traffic network and an electric vehicle charging station, and belongs to the technical field of traffic planning and electric vehicle charging scheduling. This method establishes a coordinated planning model aiming at the highest reliability of the transportation network, the highest user satisfaction, and the lowest investment and construction cost of electric vehicle charging stations. The planning scheme of electric vehicle charging station with the lowest investment and construction cost of charging station, and then determine the planning scheme of the transportation network under the constraints of the lowest total investment and construction cost of road reconstruction and electric vehicle charging station, and finally obtain the plan that can satisfy the highest user satisfaction and electric vehicle The joint planning scheme with the lowest investment and construction cost of charging stations can also meet the lowest road reconstruction cost. This dual-network coordinated planning scheme reduces the impact of the transportation network on the charging choices of electric vehicle users, and reduces the cost of dual-network planning.

The invention discloses an optical access network ODN intelligent clustering planning method for sparse user distribution, which belongs to the field of communication technology; specifically, it includes: firstly, for a planning area, in the distribution section of the ODN network, the users in the area The geographic location is input, and the position coordinates of k initial centroids are randomly generated as the second-level splitting points; then, the cost function T is constructed, and the number k of the initial centroids and the position coordinates are optimized; then, the position of the first-level splitting points is determined Coordinates and optimization; according to the optimized position of the secondary and primary splitting points, calculate the reserved length of the optical fiber, and complete the planning of the distribution section; for the planning of the feeder section of the ODN network, determine the weight connection through the connection relationship between the field areas As shown in the figure, the minimum spanning tree algorithm is used to find the minimum spanning tree; finally, according to the planning results of the distribution section and the feeder section, the optical access network ODN planning for sparse users is completed. The present invention combines upper and lower, and reduces the cost of optical fiber planning while realizing optimal planning.