9results about How to "Accurate control parameters" patented technology

The invention provides a vacuum glue filling control method and system based on machine learning, and relates to the technical field of intelligent control, and the method comprises the steps: defining the geometric shape, material attributes, boundary conditions and initial conditions of a finite element model to simulate a real glue filling environment, and the physical characteristics comprise the rheological property and thermal conductivity of glue; the glue filling process under different glue filling speeds, glue temperatures and vacuum degrees is simulated through the three-dimensional geometric model of the glue filling equipment, so that simulation results are obtained, and the simulation results comprise glue flowing behaviors, temperature distribution and stress distribution; training the simulation result to construct a prediction model for predicting the glue pouring result; real-time parameters in the glue filling process are obtained, wherein the real-time parameters comprise the real-time glue filling speed, the glue temperature, the vacuum degree and the glue filling time; according to the method, the flowing and filling conditions of the glue can be accurately predicted and controlled in the glue filling process, so that the glue filling precision and consistency are improved.

The embodiment of the invention discloses a cooperative control method and device for a mixed hydrogen production electrolytic cell and electronic equipment. The method comprises the steps that after physical parameters of the mixed hydrogen production electrolytic cell are obtained in real time, a fuzzy input signal is obtained, then a fuzzy rule corresponding to the mixed hydrogen production electrolytic cell is determined, a fuzzy output signal is determined based on the fuzzy rule, and then defuzzification processing is conducted on the fuzzy output signal to obtain electrolytic cell control parameters. And finally, cooperatively controlling the mixed hydrogen production electrolytic cell through the electrolytic cell control parameters. And fuzzy logic control is adopted to carry out a series of processing such as fuzzification and defuzzification, so that the purpose of automatically and cooperatively controlling the ALK electrolytic cell and the PEM electrolytic cell is achieved, the obtained control parameters of the mixed hydrogen production electrolytic cell are more accurate, the control system has certain robustness, the stability of the whole mixed hydrogen production system is ensured, and the service life of the whole mixed hydrogen production system is prolonged. And system fluctuation caused by parameter factors is reduced, so that the energy production efficiency is improved.

The invention relates to an efficient low-emission power plant combustor and a control system thereof. The combustor comprises a turbine body, a fuel tank, a tail gas tank, a gas mixing disc and the like, an outer shell in the turbine body is communicated with a combustion-supporting gas inlet bin and the combustion chamber, the fuel tank and the tail gas tank supply materials to the gas mixing disc, and fuel, combustion-supporting air and tail gas are mixed through the gas mixing disc and then combusted in the combustion chamber. The control system comprises a control module, a monitoring module, an adjusting module, a safety protection module and a communication module, the control module adopts a Siemens controller to achieve accurate control, the monitoring module monitors key parameters in real time, the adjusting module adjusts the air-fuel ratio, the safety protection module guarantees safety, and the communication module achieves remote monitoring. The combustor can improve the combustion efficiency and reduce pollutant emission, has intelligent control and safety guarantee, is suitable for the field of power generation of power plants, and meets the requirements for environmental protection and efficient operation.

This application relates to the field of automatic control technology, and provides a control method and apparatus for a pile driver used in wharf construction. The method includes: acquiring first position information of the pile head of the pile driver, and acquiring real-time depth position information of the pile point at the wharf; determining first movement distance information of the pile head based on the first position information and the real-time depth position information; acquiring soil information of the pile point; determining control parameter information of the pile driver based on the soil information, pile driving time information, and the first movement distance information; and controlling the pile driver to perform pile driving based on the control parameter information. By implementing the method provided in this application, precise control of the pile driver can be achieved, which is beneficial to improving the efficiency of the pile driving process.

The embodiment of the invention provides an automatic fission molybdenum-99 separation method and device which are applied to a fission molybdenum-99 separation device, and the fission molybdenum-99 separation device comprises a separation system, a liquid supply system and a control system. The separation system comprises a first separation device, a second separation device and a third separation device which are sequentially connected. The liquid supply system is connected with the separation system, and the control system is used for controlling the liquid supply system to convey the stored media to the separation system according to a set sequence. The automatic separation method of the fission molybdenum-99 comprises the steps that the first separation device is filled with aluminum oxide, the second separation device is filled with anion exchange resin, and the third separation device is filled with activated carbon. The first separation device is used for carrying out primary separation on the target dissolving liquid to obtain primary purified liquid; the separation system comprising the first separation device, the second separation device and the third separation device is arranged, the liquid supply system and the control system are arranged, and the control system controls medium injection of the liquid supply system, so that the whole separation process can be completely automatic.

The invention belongs to the technical field of electric power systems, and particularly relates to a quick-closing valve control method for transient stability of an electric power system based on deep reinforcement learning. Comprising the following steps: establishing a Markov decision model based on power system transient stability emergency control; constructing a quick-closing valve decision framework based on a near-end strategy optimization algorithm; constructing a deep reinforcement learning model for emergency quick-closing valve control; by introducing the deep reinforcement learning method, a more accurate and efficient quick-closing valve control strategy can be formulated, so that when the power system breaks down, the stability of the system is recovered more quickly, and the loss caused by instability is reduced.

The present application relates to a kind of lime-soil compaction pile construction system for collapsible loess area, before construction, good technology, material, equipment and site preparation, such as familiar drawing, prepare soil and lime, debug hole and ramming equipment, level site and surveying and setting out etc..During construction, first carry out test pile to determine parameters, large-scale hole formation follows specific sequence and strictly controls pile diameter, perpendicularity etc.;Pile formation first clean bottom ram, then layered packing ramming, accurate operation by control system;After pile formation, do well maintenance.Quality detection uses low-strain dynamic penetration method to detect pile integrity, plate load test to detect composite foundation bearing capacity.The method is applied to a certain commercial complex project, construction is smooth, hole formation and pile formation quality meet the standards, efficiency is improved, construction period is shortened.

The invention discloses a preparation device and a preparation process of a hollow fiber membrane substrate for oil-gas separation. The device comprises an extrusion forming unit, a phase conversion membrane forming unit and a filament collecting and cleaning unit, the extrusion forming unit comprises a membrane casting liquid extrusion pump, a core liquid extrusion pump, a constant-temperature circulating water machine, a spinning head and a spinning head position control system, and is used for carrying out defoaming treatment on a membrane casting liquid and a core liquid and extruding the membrane casting liquid and the core liquid; the phase conversion membrane forming unit comprises a spinning cavity and a coagulation tank and is used for performing water-gas induced phase separation and non-solvent induced phase separation on the membrane casting liquid and the core liquid to form a formed hollow fiber membrane matrix; and the filament collecting and washing unit is used for collecting and washing filaments of the formed hollow fiber membrane matrix to obtain the hollow fiber membrane matrix. The hollow fiber membrane is prepared by combining a non-solvent induced phase separation method with a water-gas induced phase separation method, meanwhile, process parameters of all units are controlled, continuous production of the hollow fiber membrane is achieved, the automation degree is high, and the parameters can be accurately controlled.

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.