3results about How to "Balance load" patented technology

The utility model relates to pre -stress construction technical field discloses a kind of machine head of threading machine, including base, including base, the horizontal tensile mechanism is separately arranged on the base along its length direction, and the steel strand clamping mechanism is arranged at each horizontal tensile mechanism end portion;When working, the steel strand clamping mechanism at different positions is alternately clamped to steel strand, and the horizontal tensile mechanism is alternately operated, and the relay conveying to steel strand is completed;The utility model can realize the efficient, stable, continuous threading operation of steel strand, and improve work efficiency.

The application discloses a control method for reducing energy consumption of a variable-frequency refrigerator, which judges the temperature difference of an environment sensor, a refrigeration sensor and a freezing sensor, combines to judge the refrigerator load condition, controls the compressor rotating speed, controls the temperature difference of the opening and stopping point of the non-freezing chamber, increases the frequency of the opening and stopping of the non-freezing chamber air door, reduces the temperature fluctuation of the non-freezing chamber, balances the load of each chamber, reduces the starting load, thereby reduces the starting power loss, and realizes the reduction of energy consumption.

The present application relates to the technical field of production planning and operation optimization, in particular to a cigarette equipment capacity matching optimization method based on an improved NSGA-Ⅱ algorithm, comprising: obtaining basic data of matching of cigarette production resources and demand; calculating constraint parameters of each product according to the basic data; constructing a cigarette equipment capacity matching multi-objective optimization model based on the constraint parameters; solving the cigarette equipment capacity matching multi-objective optimization model based on the improved NSGA-Ⅱ algorithm to obtain an optimal capacity matching scheme. The embodiment of the present application constructs a multi-objective optimization model, covers capacity gap, surplus rate balance and overtime, and improves the accuracy and efficiency of the algorithm in a complex production environment through an improved initial population generation strategy and a self-adaptive crossover and mutation mechanism. The method can accurately match capacity and demand, reduce waste, overtime and uneven load, significantly improve production efficiency and resource utilization, and optimize cigarette production management.