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3results about How to "Prevent falling into" patented technology

Desert seedling transport vehicle based on hydraulic self-adaptive chassis

ActiveCN224392462UHigh positioning accuracyRealize full automation
The utility model discloses a desert nursery stock transport vehicle based on hydraulic self -adaptation chassis, including self -adaptation chassis, car, guide rail frame, snatch mechanical arm and radar etc. Self -adaptation chassis is equipped with the walking wheel of independent height adjustable and independent steering system, can adapt to the complex desert topography, car is used for loading nursery stock, guide rail frame and snatch mechanical arm realize the automation nursery stock snatch, and radar provides accurate positioning. The utility model solves the problem that the traditional transport vehicle is poor in desert environment, and the positioning is not accurate, and the operation efficiency is low, and has the advantages of strong topographic adaptability, accurate positioning, high degree of automation operation, good nursery stock protection, especially suitable for the nursery stock transport operation in desert greening engineering.
Owner:SHANDONG SONGXINLOU ROBOT CO LTD

A Cogeneration Load Allocation Method Based on Improved Gray Wolf Algorithm

PendingCN122088904ARich and diverse search starting pointsSearch starting point broadenedForecastingBiological modelsArtificial intelligenceSystem optimization
This invention provides a method for cogeneration load allocation in cogeneration power plants based on an improved gray wolf algorithm, belonging to the field of cogeneration system optimization and control technology. The method includes: S1: setting parameters; S2: initializing the population based on chaotic mapping; S3: calculating fitness values ​​and selecting superior individuals; S4: stratifying the population based on the fitness calculated in step S3, dividing the population into different levels, and adopting different position update methods according to the characteristics of different levels; S5: iteration and outputting results. This method exhibits strong real-time performance in cogeneration load allocation, possesses a robust multi-objective trade-off mechanism, can balance local and global search capabilities, and effectively solves optimization problems in complex scenarios of cogeneration power plants.
Owner:XIAN THERMAL POWER RES INST CO LTD +2