6results about How to "Fast optimization" patented technology

The invention discloses a method for batch equidistant adjustment of train operation plans of a CTC system based on a daily shift plan, and relates to the technical field of railway dispatching concentration. The method comprises the following steps: in response to a running line head node selected by a user, judging whether a preset condition is met; if yes, setting an adjustment range and an equidistant interval; loading the to-be-adjusted operation line meeting the condition according to the adjustment range; sorting the operation lines to be adjusted according to an increasing sequence of departure moments of the first nodes of the daily shift planning lines corresponding to the operation lines to be adjusted; synchronously traversing the sorted to-be-adjusted running lines and the corresponding daily shift planning lines, and performing batch equidistant adjustment calculation on each to-be-adjusted running line: if the departure time after equidistant adjustment is greater than the daily shift planning time, performing overall offset; otherwise, aligning to the daily shift plan time; and finally refreshing the running chart display. According to the invention, rapid and orderly adjustment of a large number of train operation plans is realized, delay propagation is effectively controlled, the workload of dispatchers is reduced, and the intelligent level of a CTC system is improved.

This application discloses a method and system for spot market bidding decisions in combined heat and power (CHP) power plants, relating to the technical field of CHP power plants. The method includes: acquiring operating data of the CHP unit and market data of the electricity spot market; constructing a heat-power coupling and coal consumption characteristic model based on the operating data and the market data, with rigid heat load supply parameters as the primary constraint; inputting the cleaned operating data and market data, along with energy conversion efficiency, energy consumption characteristics, and feasible domain of CHP output under different operating conditions, into a chaotic hierarchical gray wolf optimization algorithm to initialize the population and implement a hierarchical search strategy; defining a fitness function with profit maximization as the objective, solving for the optimal power output or optimal bid price, and guiding the CHP power plant in making bidding decisions regarding power generation or price. This application aims to solve the problems of unscientific bidding decisions and low profitability of CHP power plants in the electricity spot market.

The invention provides a helicopter main reducer rigidity collaborative optimization method based on an orthogonal test, and belongs to the technical field of gear transmission. The method comprises the following steps: determining key parameters of the helicopter main reducer transmission system; respectively calculating the torsional rigidity, the supporting rigidity and the meshing rigidity of the transmission system; constructing a helicopter main reducer transmission system quasi-statics model based on the deformation coordination condition; in combination with orthogonal experimental design, multi-level experimental design is carried out on stiffness parameters of each level, a system uniform load coefficient is solved through a quasi-statics program, key influence factors and optimization level are determined by utilizing range analysis, and finally collaborative optimization of the system stiffness is realized. By systematically analyzing the influence of each rigidity on the uniform load coefficient of the system, collaborative optimization of the rigidity of the helicopter main speed reducer transmission system is realized, and the uniform load characteristic of the helicopter main speed reducer transmission system is improved.

The application discloses a hypoid gear digital design method and system, and is applied to the technical field of gear design and manufacturing. The method comprises the following steps: according to initial design parameters, solving the gear blank parameters of a hypoid gear pair, the forming method machining parameters of a large gear and the cutter tilt method machining parameters of a small gear; based on gear machining principles and space meshing principles, establishing the large gear tooth surface equation and the small gear tooth surface equation, determining the theoretical boundary of the rotary projection tooth surface, and dividing discrete grid nodes; constructing an objective function for iterative solving, obtaining tooth surface discrete point cloud data; constructing a cubic spline curve, reconstructing the tooth surface spline surface; establishing a gear blank solid model, cutting the gear blank by using the reconstructed tooth surface through Boolean operation, and generating a hypoid gear three-dimensional entity model. The application overcomes the disadvantages of the traditional design method, such as design and modeling simulation fragmentation, low efficiency of artificial optimization iteration, and greatly improves the design efficiency through full-automatic modeling process and fast design optimization response.

This invention provides a method for determining the optimal key furnace parameters of a gas-based vertical shaft furnace based on CFD (Computational Fluid Dynamics), relating to the field of metallurgical equipment design and numerical simulation technology. The method includes: S1, constructing a geometric model of the gas-based vertical shaft furnace and dividing it into meshes; S2, constructing a mechanistic model of gas-solid phase energy and mass flow and gas-solid interphase mass and heat transfer in the gas-based vertical shaft furnace based on Eulerian two-phase flow; S3, determining the input operating parameters of the vertical shaft furnace; S4, performing numerical simulation using the mechanistic model to solve for the chemical reaction field, temperature field, and concentration field until iterative convergence; S5, extracting key production indicators from the simulation results; and S6, determining the optimal combination of key furnace parameters for the gas-based vertical shaft furnace based on the key production indicators. This invention achieves rapid prediction of the optimal key furnace parameters for a gas-based vertical shaft furnace by establishing CFD models of gas-solid phase energy and mass flow and gas-solid interphase mass and heat transfer in a gas-based vertical shaft furnace with different key furnace parameters, performing numerical simulations, and extracting key data for comparison.

The application discloses a kind of Cu-10Ni-XAl alloy of computational thermodynamics aided design, heat treatment process and application thereof, and relates to the technical field of alloy material.The process is based on copper, nickel, aluminium ternary alloy thermodynamic data, adopts CALPHAD method to draw phase diagram, designs Cu-10Ni-XAl (X=0-6wt%) alloy composition;After 1053K×180min solid solution treatment (cooling rate is greater than or equal to 10℃ / s) and 700-773K×240min aging treatment (heating rate 5-10℃ / min), high-performance alloy is obtained.The alloy strengthening phase is the dispersed distribution of L 12 Structural Ni3Al phase, when Al content is 3wt%, its Vickers hardness is 366HV, tensile strength is 674MPa, yield strength is 444MPa, elongation is 12.7%, corrosion rate is not higher than 0.02mm / a, and it is suitable for multiple fields such as ocean engineering.The application also discloses corresponding alloy, application and design system, solves the problems of traditional process depending on experience and unstable performance, and has precision and economy.