5results about How to "Sure reasonable" patented technology

This application discloses an operation control method, apparatus, medium, and equipment for pumped storage power stations. The method includes: obtaining the usage willingness of each bidding entity for each pumped storage power station, the usage willingness being determined based on the load information and renewable energy output information of each bidding entity; determining the equity parameters of each bidding entity using each pumped storage power station based on the power allocation ratio of each bidding entity to each pumped storage power station and the usage willingness of each bidding entity; determining the target bidding entities to which each pumped storage power station is allocated based on the equity parameters of each bidding entity; determining the pumping plan of each pumped storage power station based on the load information of the target bidding entities to which each pumped storage power station is allocated; and controlling each pumped storage power station to operate according to the corresponding pumping plan. This application can reasonably and accurately control pumped storage power stations.

The invention discloses a power distribution network system bearing capacity evaluation method and device, a medium and equipment, and the method comprises the steps: calculating first index values of a plurality of evaluation indexes at the same sampling moment based on a target access scheme of a to-be-accessed new energy system in a target power distribution network system; based on the first index value of each evaluation index, performing fuzzy judgment on the importance degree of any two evaluation indexes, and determining a target subjective weight of each evaluation index; for the evaluation dimension to which each evaluation index belongs, performing fuzzy judgment on the importance degree of any two evaluation dimensions, and determining a target subjective weight of each evaluation dimension; and determining a score of the target access scheme at least based on the target subjective weight of each evaluation index, the target subjective weight of the evaluation dimension to which each evaluation index belongs and the first index value of each evaluation index, so as to obtain an evaluation result of the bearing capacity of the target power distribution network system. According to the invention, the bearing capacity of the power distribution network system can be accurately evaluated.

Embodiments of the present application provide a CSI-RS configuration method and device, a satellite base station and a storage medium. The method comprises: determining the number of activated UEs and the traffic load of multiple wave positions of a satellite base station in a target detection period; determining the CSI-RS configuration mode corresponding to the multiple wave positions based on the number of activated UEs and the traffic load of the multiple wave positions, wherein the CSI-RS configuration mode comprises periodic CSI-RS configuration and CSI-RS transmission accompanying traffic; and determining the target CSI-RS configuration mode of the satellite base station according to the CSI-RS configuration mode corresponding to the multiple wave positions of the satellite base station. With dynamic CSI-RS configuration, the CSI-RS configuration mode suitable for the multiple wave positions is determined according to the number of activated UEs and the traffic load in the target detection period, and then the target CSI-RS configuration mode suitable for the satellite base station is determined more reasonably by comprehensively considering the CSI-RS configuration mode corresponding to the multiple wave positions of the satellite base station, thereby reducing resource waste when the load is light and reducing the occurrence of resource increase when the load is heavy.

The invention discloses a DEM-based determination method for design flood calculation parameters of a Huai Shanghai method, and the method comprises the steps: obtaining a target drainage basin and peripheral DEM data, calculating the water flow direction of each grid through a D8 algorithm, and generating a flow direction grid; determining a main stream position according to the flow direction grid; matching a net rain time period according to the drainage basin area A, and calculating net rain intensity i when net rain in the time period is 20mm; identifying the underlying surface type in combination with a satellite image, and matching the roughness values to form a roughness grid; estimating the flow velocity of each grid through a dynamic wave method; determining an isochrone; constructing an L-B curve and a tau-B curve; and determining core parameters of the Huai Shangshi method. The method has the advantages that the isochrone is determined based on the DEM, the isochrone calculation method is improved, the isochrone determination precision is improved, the L-B curve is reasonably determined, then standard, automatic and high-precision acquisition of seven core parameters of the Huai Shangzhou method is achieved, and the parameter determination efficiency and quality are improved.

The invention relates to the field of artificial intelligence and automatic planning, in particular to a large-scale planning problem solving method based on general knowledge of a large language model, and the method comprises the steps: analyzing a PDDL domain file and an instance file, and obtaining an initial state, a target state and an action model; the target state is disassembled into sub-targets in a directed two-tuple form, a directed acyclic dependency graph is constructed, topological sorting is carried out, and an ordered sub-target sequence is obtained; recursively traversing a sequence to generate a sub-problem, calling a planner to solve, and optimizing through LLM two modes if the sub-problem fails or is overtime; the mode A selects actions from an executable action sequence to compress a search space, and the mode B predicts an intermediate state to split an intermediate sub-problem; and finally connecting the sub-plans in series in sequence to generate an overall plan. The invention aims to solve the problems that the traditional planning method is high in search overhead, the sub-target sequence is difficult to determine and the LLM output is unreliable.