12results about How to "Precise and stable control" patented technology

This invention relates to the field of gray cast iron material preparation technology, and particularly to a method for preparing multi-alloy synergistically strengthened gray cast iron, comprising: adding steel raw materials to a smelting apparatus and heating to form molten iron; adding a chromium alloy to the molten iron, heating and holding at that temperature to form a basic mixture; determining the degree of furnace lining peeling based on the vibration frequency of the smelting apparatus, and determining the overheating risk level of the basic mixture based on the degree of furnace lining peeling; determining a target heating temperature based on the overheating risk level; determining the eddy current risk level based on the actual rotation speed; adjusting the stirring intensity during the smelting process based on the eddy current risk level; detecting the mixing ratio of the basic mixture and adjusting the amount of steel raw materials or the chromium alloy added to form a target solution; and simultaneously adding manganese nitride, alloyed tin, and ferrous sulfide to the target solution in a specified ratio to form multi-alloy synergistically strengthened gray cast iron. This invention improves the strength, toughness, fluidity, and resistance to solidification defects of gray cast iron.

The utility model provides a magnetic coding motor device, which relates to the field of motor parts and comprises a rotor, a moving ring, a magnetic coding main board, a shaft, a stator and an end cover, the rotor, the moving ring, the magnetic coding main board, the stator and the end cover are sequentially connected onto the shaft, the moving ring is connected onto the rotor, the magnetic coding main board is connected onto the stator, and the end cover is connected onto the shaft. And the stator is located in the rotor and the end cover which are adaptively connected. Magnetic pole signals of the moving ring are sensed by the magnetic braiding main board, the moving ring drives the motor to rotate, the structure is reasonable, and control is more accurate and stable; and the positions of the moving ring and the magnetic braiding mainboard ensure that the moving ring signal is stable, the moving ring is firmly fixed and is not easy to fall off, and the stability and the safety are improved.

The application discloses a kind of robot controller adaptive parameter optimization systems based on reinforcement learning, including operating state data acquisition module, obtains the operating state data of robot;Decision input sequence construction module, constructs decision input sequence;Embedding processing module, obtains embedding sequence;Improved Decision Transformer model module, set performance-oriented channel and safety-oriented channel;Gating modulation and feature fusion module are used to output control target weight parameter and constraint threshold parameter;Control performance return construction module generates control performance return;TD3 training module, output controller gain parameter;Control execution and parameter update module, execute control output.The application combines reinforcement learning algorithm and robot motion control technology, with the advantages of high control precision, strong system smoothness, high safety and strong generalization ability.

The utility model discloses an air inlet adjusting mechanism installed on a motorcycle motor, which relates to the field of motorcycle parts, and comprises a motor main body, an inner sleeve column and an adjusting cap, the inner sleeve column adopts a cylindrical structure and is detachably assembled at the front end of the motor main body, the adjusting cap is movably sleeved on the inner sleeve column, and the inner sleeve column is detachably assembled at the front end of the motor main body. A threaded adjusting rod is rotatably installed in the center of the interior of the inner sleeve column, the tail end of the threaded adjusting rod is in transmission connection with an output shaft of the motor body, an inner limiting sleeve column is installed in the center of the interior of the adjusting cap in the axial direction, a threaded hole is formed in the center of the inner limiting sleeve column in the axial direction, and the front end of the threaded adjusting rod is inserted into the threaded hole in a screwed mode. The adjusting cap is controlled by the motor to move, the gap between the adjusting cap and the throttle valve seat is changed, the air inflow of the throttle valve channel of the motorcycle is controlled, the whole control is simple, and the air inflow control response speed is high, and the efficiency is high.

The utility model relates to glass edge grinding auxiliary frock field especially to a controllable feeding mechanism for glass edge grinding operation, including, left frame, right frame, connecting frame, longitudinal slide rail, longitudinal drive part, removal bearing part, transverse push part and adsorption positioning assembly, left frame, right frame both lay in the working ground, install the connecting frame between left frame and right frame, longitudinal slide rail is installed on left frame, right frame through mounting bolt, the utility model can carry out stable adsorption positioning to glass through adsorption positioning assembly, simultaneously, through the synergetic effect of longitudinal drive part, removal bearing part, transverse push part and adsorption positioning assembly etc. component realizes the mechanical type push feeding of glass, and the operation process is simple and convenient, and the control process is accurate and stable, effectively guarantees the operation safety of edge grinding operator.

The invention discloses a power grid stability control method based on real-time risk assessment, relates to the field of power system automation and intelligent control, and aims to solve the problems that traditional stability control depends on a static threshold value, response lags behind and is lack of perspectiveness. The method comprises the following steps: collecting multi-source operation data in real time to form a multi-dimensional state vector of a unified time reference; constructing a dynamic risk assessment model containing voltage deviation, frequency change rate and fault current characteristics, and calculating a comprehensive risk index; identifying risk hotspots and propagation paths in combination with the power grid topology; generating control instructions such as generator tripping, load shedding or reactive compensation in a self-adaptive manner according to the risk level; and the control strategy is iteratively optimized through closed-loop feedback until the system recovers to be stable. According to the technical scheme, accurate, rapid and adaptive stable control of risk driving is realized, and the safety margin, the response speed and the economical efficiency of a complex power grid under disturbance are remarkably improved.

The invention discloses a BTTRZ corrugated copper sheath mineral insulated fireproof cable production line which comprises a cable core pay-off machine, a copper strip winding disc, a traction machine, an embossing machine, an extruding machine and a take-up machine, and the cable core pay-off machine, the traction machine, the embossing machine and the extruding machine are sequentially arranged in the direction from the copper strip winding disc to the take-up machine. A copper pipe cable core forming device used for pressing a copper strip into a copper pipe is arranged between the copper strip winding disc and the traction machine. The copper pipe cable core forming device comprises a supporting table, a copper strip trimming unit, a copper strip pipe forming unit and a copper pipe welding and coating unit, wherein the copper strip trimming unit, the copper strip pipe forming unit and the copper pipe welding and coating unit are sequentially arranged on the supporting table from the copper strip winding disc to the moving direction of the cable dragged by the dragger. A copper strip wire winding disc is arranged between the copper strip winding disc and the copper pipe cable core forming device. According to the invention, a copper strip can be quickly trimmed and rolled to form a copper pipe, a cable core is wrapped in the copper pipe to be welded to form a copper cylinder sheath, the forming of the copper pipe can be accurately and stably controlled, and the production quality of a cable is improved.

The invention discloses an equipment control method and system based on deep learning, and relates to the technical field of compressor control, and the method comprises the steps: obtaining a historical normal sequence and a current operation sequence, and carrying out the preprocessing to obtain a historical feature data set and a current feature data set; calculating the attention weight of each feature under each time scale based on the historical feature data set; dividing the historical feature data set and the current feature data set to obtain a historical fusion window and a current fusion window under each time scale; combining the attention weight to calculate a fusion value and construct a fusion sample, and obtaining a historical fusion sample set and a current fusion sample under each time scale; constructing and training a prediction model to obtain an effective prediction model under each time scale; and calculating a comprehensive valve opening value at the next sampling moment based on the current fusion sample and the effective prediction model. According to the method, the valve opening of the compressor can be accurately predicted, and the high-precision control requirement of the compressor under the complex working condition is met.

The utility model relates to a megawatt anion exchange membrane water electrolysis hydrogen production integrated system which comprises an electrolytic bath subsystem comprising a plurality of large standard AEM electrolytic baths and is used for water electrolysis hydrogen production. The electrolyte circulation subsystem is used for providing electrolyte and maintaining circulation; the oxygen treatment subsystem is used for drying and dehydrogenating oxygen; the drying and purifying subsystem is used for drying, deoxidizing and purifying the hydrogen; the purging subsystem is used for purging the residual gas; the power supply and distribution subsystem is used for supplying power; the heat dissipation subsystem is used for cooling and heat dissipation; and the centralized control subsystem is used for controlling the whole integrated system. According to the utility model, the centralized control subsystem is adopted to realize remote control and real-time monitoring on the whole integrated system, so that the whole integrated system is in an optimal operation state, and the efficiency and the dynamic response rate are effectively improved; according to the utility model, the purging system is adopted to purge residual gas, so that the safety of the system is improved; and the low-concentration alkaline liquid is adopted, and hydrogen is removed from oxygen, so that the environmental protection property is effectively improved.

The invention discloses a process for efficiently recovering tin, copper and silver in kesterite based on a sulfur potential and oxygen potential regulation and control method. The process comprises the following steps that the kesterite, a vulcanizing agent, a reducing agent and a solvent are mixed and granulated; the obtained materials are subjected to volatilization smelting, and tin-containing smoke dust, copper matte and furnace slag are obtained; during smelting, the sulfur potential of a system is controlled to be log pSO2 = 1.0 + / -0.5, and the oxygen potential of the system is controlled to be log pO2 =-7 + / -0.5; mixing the obtained tin-containing smoke dust with a reducing agent and a solvent, and carrying out reduction smelting; and then a reducing agent is supplemented, the temperature is increased, zinc evaporation smelting is conducted, and crude tin, secondary smoke dust and furnace slag are obtained. The technology is good in adaptability, the tin-copper-silver bulk concentrate can be directly treated, low-grade raw materials which are difficult to treat through a traditional technology can be effectively utilized, efficient recycling of valuable metal such as tin, copper, silver and zinc is achieved, and the content of the valuable metal in slag is low.

The invention discloses a hydrogen doping ratio control method of a pipeline natural gas hydrogen doping device, and belongs to the technical field of process control, the method is applied to an ejector device with an adjustable throat nozzle, and the method comprises the following steps: setting a target hydrogen doping ratio; collecting natural gas inlet pressure, ejector throat pressure and hydrogen source pressure in real time; based on the target hydrogen doping ratio and the real-time pressure, the target throat diameter is calculated through the established fluid dynamic model; the target diameter is converted into the displacement amount of the driving ring block according to the geometrical relationship; the driving assembly is controlled to drive the ring block to move to adjust the throat diameter; and finally, the actual hydrogen doping ratio is calculated based on the adjusted parameters, feedback verification and iterative adjustment are carried out, and closed-loop control is formed. According to the invention, automatic, accurate and stable adjustment of the hydrogen doping ratio is realized, through combination of model feedforward and feedback correction, the response is rapid, the anti-interference capability is strong, a safety monitoring and fault processing mechanism is integrated, and the safety and reliability of system operation are guaranteed.