3 results about "Population structure" patented technology

The invention relates to the technical field of optimal scheduling, and discloses a material transfer optimal scheduling method and system based on a large language model. The method comprises the steps of initializing a population, constructing cue words, calling a large language model to generate a filial generation, detecting validity, evaluating and selecting fitness, carrying out linkage adjustment based on a temperature parameter and a population structure, and outputting a current optimal solution. The system corresponds to the method. According to the invention, through deep fusion of the large language model and the material transfer optimization scheduling, the production workshop material transfer efficiency is significantly improved.

This invention provides a method, system, and storage medium for predicting and dynamically allocating childcare service personnel demand based on population structure changes. The invention first acquires population-related data and policy-related data by administrative division, constructs a set of scenario parameters to generate a baseline scenario, an optimistic scenario, and a conservative scenario, and determines the parameter value range; for each scenario, it generates childcare service demand prediction results, and outputs personnel demand intervals for different job positions by combining job conversion parameters; based on actual observation data and prediction results, it constructs scenario trigger indicators and determines scenario switching rules, switching to the target scenario output when threshold conditions are met; further, it combines existing personnel status data to generate a dynamic allocation scheme and updates the personnel status data, thereby enabling multi-scenario prediction of childcare service demand under different population change scenarios and achieving dynamic adjustment of personnel allocation, improving the accuracy of childcare service personnel demand prediction and the rationality of allocation.

The invention discloses a school-level academic pressure prediction method and device, electronic equipment and a storage medium, and belongs to the field of data processing, and the method comprises the steps: obtaining a sex-based age structure of a reference year, a population natural change parameter of each prediction year, and a population density control threshold value of each administrative region; and school education resource attributes and space coordinates, and residential space coordinates. The regional migration rate is determined based on the population structure and the density threshold value, year-by-year school age population of each administrative region is calculated in combination with the natural change parameters, and then the year-by-year number of students to be entered is obtained through distribution according to the residence point population proportion. Inputting the educational resource attributes into a multi-layer perceptron model to generate school attraction features, and calculating an enrollment probability in combination with a general learning distance; and predicting the number of years-by-year students in each school, and generating a school pressure index based on the maximum bearing capacity of the school. By implementing the method, the problem that the supply and demand contradiction of a single school cannot be accurately reflected due to the fact that the school pressure prediction granularity is rough in the prior art can be solved.