2results about How to "Realize automatic balance" patented technology

The utility model relates to drying tower grain feeding technical field discloses a kind of grain drying tower grain feeding automatic flow divider, including cabinet, the outside fixed connection of cabinet has in-out material assembly, the top inner wall of cabinet is equipped with collecting hopper by thread fastener, the inner wall of cabinet is equipped with pin shaft by rolling bearing, the top fixed connection of pin shaft has distributing plate, the top both sides of distributing plate are equipped with nylon plate by thread fastener, and the in-out material assembly includes grain feeding chute, the bottom fixed connection of grain feeding chute is in the top of cabinet, the bottom left end fixed connection of cabinet has left grain outlet chute, the bottom right end fixed connection of cabinet has right grain outlet chute. In the utility model, through self-adapting adjustment mechanism, the automatic balance of grain flow is realized, effectively ensure the uniform distribution of grain, distributing plate is automatically adjusted according to grain column flow condition, and the hidden danger of uneven flow is eliminated.

The application discloses a kind of two-way feedback type's warehouse location planning method and system, comprising: constructing multi-objective optimization model, determine weight space and variable space;Optimize weight vector is searched in weight space using particle swarm algorithm and is passed to genetic algorithm;Optimal warehouse location allocation and path sequence are searched in variable space using genetic algorithm;Elite solution set is extracted from optimal variable population and evaluated, generates the first feedback information from variable space to weight space;The statistical characteristics of current weight particle swarm are analyzed, generate the second feedback information from weight space to variable space;According to the search direction of first feedback information adjustment particle swarm algorithm, according to the second feedback information adjustment crossover probability and mutation probability of genetic algorithm;The history optimum of particle swarm and genetic algorithm is updated, records global optimal solution pair;Repeat iteration until convergence, output global optimal solution.The application improves the adaptability and robustness of warehouse location planning to dynamic environment by two-way feedback cooperative evolution.