4results about How to "Reduce scheduling costs" patented technology

The application relates to an intelligent scheduling method and device of a medical waste transport vehicle, and relates to the technical field of vehicle scheduling.The method comprises the following steps: based on a received scheduling request of a medical waste transport vehicle, determining medical waste information of a medical institution and waste information of a centralized disposal center; determining a target area and a target medical waste transport vehicle of scheduling, and dividing the target area into multiple subareas; based on a second scheduling parameter, determining a target subarea and a first scheduling path of the target medical waste transport vehicle in the target area; scheduling the target medical waste transport vehicle based on a scheduling instruction generated based on the first scheduling path and the target subarea; in the scheduling process, adjusting the first scheduling path according to a third scheduling parameter to generate a second scheduling path, until the target medical waste transport vehicle is scheduled to be completed, the application improves scheduling efficiency and reduces scheduling cost, and realizes the intelligentization and safety of the scheduling process.

The invention provides a shared vehicle management method and device, and relates to the technical field of shared vehicle management, and the method comprises the steps: obtaining the position information of a shared vehicle in response to a vehicle returning request sent by a user terminal; determining a current parking point and the type of the parking point based on the position information; judging whether the user level corresponding to the user terminal is matched with the type of the parking spot; and if yes, feeding back prompt information of successful vehicle returning to the user terminal. According to the shared vehicle management method and device provided by the invention, the user needs to return the vehicle in the parking spot matched with the user grade, the user can be effectively guided to return the vehicle in the planned parking spot normatively, the scheduling cost caused by blind parking is further reduced, and meanwhile, based on the user grade and the type of the parking spot, the user experience is improved. In addition, the method can effectively improve the refinement level of parking management of shared vehicles, reduces the management cost, provides differentiated services for users of different user levels, and remarkably improves the operation efficiency and user satisfaction.

The application belongs to the technical field of power systems and discloses a power distribution network distributed resource optimization aggregation method based on an ant colony simulated annealing algorithm; the method first acquires parameters of distributed energy in a virtual power plant, constructs an objective function with the aim of minimizing the total cost of the virtual power plant, sets a constraint condition, and finally solves the objective function by combining an ant colony algorithm and a simulated annealing algorithm to output an optimal solution, namely, an optimal aggregation method of the distributed resources of the power distribution network; the application can jump out of the trap of a local optimal solution, enhance the global search capability, improve the convergence speed, and significantly improve the probability of finding a global optimal solution; the cooling strategy of the simulated annealing algorithm accelerates the late convergence, the pheromone mechanism of the ant colony algorithm strengthens high-quality solutions, and the cooperation of the two can improve the economy and stability of the scheme; by setting the constraint, the aggregation scheme can meet various operation requirements, reduce the scheduling cost, improve the resource utilization rate, realize the efficient utilization and optimal allocation of resources, and the like.

The application discloses a multi-type load power grid low-carbon optimal scheduling method and system, which comprises the following steps: firstly, a load scheduling model is constructed with the target of maximum new energy consumption in a region; then, the load scheduling model is solved to obtain the regional load scheduling power in each period in a scheduling period; then, based on the regional load scheduling power required in each period in the scheduling period, the scheduling cost and carbon emission of the regional residential load, commercial load, industrial load and electric vehicle adjustable load are comprehensively considered to establish a multi-type load power grid low-carbon scheduling model; finally, the multi-type load power grid low-carbon scheduling model is solved to obtain a multi-type load power grid low-carbon scheduling scheme. The application comprehensively considers the scheduling characteristics of the multi-type load such as the residential load, commercial load, industrial load and electric vehicle adjustable load and the time-space variation of the power grid node carbon emission factor, and takes the new energy consumption as the target, so that the power grid scheduling cost and the regional power grid carbon emission are reduced.