18results about How to "Loss minimization" patented technology

The invention provides a power supply energy analysis method and system for a medium-voltage power distribution network. The method comprises the following steps: collecting multi-modal data of the medium-voltage power distribution network; constructing a health state evaluation model, and predicting a health score and a fault risk of the transformer of the medium-voltage power distribution network according to the fusion features after dimension reduction; constructing an optimization target of the power electronic equipment of the medium-voltage distribution network according to the health score and the fault probability of the transformer; constructing a multi-modal load prediction model to predict the load change of the power electronic equipment in the future; constructing a multi-objective optimization function, and generating an optimal scheduling strategy; and executing the optimal scheduling strategy to actually control the medium-voltage power distribution network equipment. According to the method, the defects of a traditional method in the aspects of equipment monitoring, load prediction and scheduling optimization are overcome, and the overall management level and coping capacity of a power grid are improved by introducing a leading-edge artificial intelligence algorithm and a data fusion technology.

The invention belongs to the technical field of power system protection and control, particularly relates to a short-circuit simulation test method and system for a subway direct-current power supply system, and aims to solve the technical problems of insufficient flexibility, difficulty in adapting to complex actual working conditions and lack of adaptivity in the prior art. The method comprises the following steps: presetting and adjusting various short-circuit fault parameters to generate a short-circuit working condition; determining a transient fluctuation separation result based on the short-circuit working condition; constructing a system topology model by utilizing a graph neural network, generating a long-term protection plan in combination with an optimized double-Q learning strategy, and generating an initial risk assessment result by adopting a neural network based on physical information and Monte Carlo simulation; constructing a hybrid risk assessment model in combination with a Bayesian network and fuzzy logic to obtain a target risk assessment result, and generating an emergency response plan based on the target risk assessment result by using a natural language generation technology and a planning algorithm; according to the invention, the precision and reliability of the short-circuit simulation test of the subway direct-current power supply system are improved.

The invention provides a collaborative optimization method of a mixed water electrolysis hydrogen production system considering seasonal wind and light fluctuation. The method comprises the following steps of: analyzing a wind-solar power frequency spectrum by adopting a variational mode decomposition algorithm, and extracting three intrinsic mode function components of ultrahigh frequency, transition frequency band and ultralow frequency; establishing a multi-time-scale collaborative optimization framework comprising a seasonal scheduling layer, an intra-day optimization layer and a real-time control layer; the ultra-low frequency component is distributed to an alkaline electrolytic bath, and the ultra-high frequency component is distributed to a proton exchange membrane electrolytic bath; an electric-thermal-life multi-field coupling efficiency optimization model is constructed, and multi-objective optimization of efficiency maximization and life loss and operation cost minimization is achieved; and an equipment switching critical point calculation method based on an efficiency curve second derivative and a gradient protection strategy are adopted. The method can effectively improve the adaptability of the system to seasonal fluctuation, the operation economy and the service life of equipment.

The invention discloses a packaging structure of a microwave photon transceiving integrated device, which comprises a tube shell, the tube shell comprises a cavity, a driving circuit board is arranged in the cavity, the driving circuit board is respectively connected with a light receiving unit, a light emitting unit and a radio frequency microwave circuit, the light receiving unit is connected with the light emitting unit through the radio frequency microwave circuit, and the light receiving unit is connected with the light emitting unit through the radio frequency microwave circuit. The bottom of the cavity is connected with the fuzz button, the fuzz button is connected with the radio frequency microwave circuit, the light receiving unit and the light emitting unit are integrated in one cavity, receiving and emitting of microwave signals are integrated in one cavity, the integration level is improved, the fuzz button with the smaller size is used for replacing an SSMP radio frequency connector, and the cost is reduced. The size of the whole device is reduced, the size of the microwave photonic device is reduced, and the problems that receiving and transmitting of microwave signals are achieved based on discrete devices, the integration level is low, external interfaces all adopt SSMP radio frequency connectors or glass sintering terminals, and the size of the microwave photonic device is large are solved.

This invention discloses a wafer release method for use in a wafer processing system and a wafer processing method. The wafer release method of this invention includes: a polarity reversal step of reversing the polarity of a voltage applied to a chuck; a first transfer step of raising a lifting pin housed in the chuck at a first transfer speed to transfer a wafer supported on the chuck to a first predetermined position; and a second transfer step of raising the lifting pin at a second transfer speed different from the first transfer speed to transfer the wafer positioned at the first predetermined position to a second predetermined position higher than the first predetermined position.

The application discloses a cold region pig house winter stratified energy-saving ventilation method and relates to the technical field of livestock breeding. In order to solve the ventilation problem of the prior art cold region pig house, the method comprises the following steps: according to the pig house space and pig growth stage, a ventilation system is laid out; real-time monitoring of pig house internal environment parameters is taken as a basis; a CFD simulation is used to optimize the air flow path, and then the operation parameters of the ventilation system are regulated; and according to the heat loss in the pig house, the operation of the ventilation system is assisted and optimized. The application provides a dynamic adjustable air supply mechanism based on the breathing height of pigs, through pig house top layer heat recovery and pig house internal air flow stratified interval ventilation, the heat energy loss is effectively reduced, more than 80% of fresh air is accurately delivered to the pig breathing area, invalid ventilation is avoided, the energy saving rate is more than 50%, the energy consumption is reduced, the air quality in the breathing area reaches more than 99% of the standard rate, and the growth environment and health level of the pigs are improved.

The present invention provides a low thrust fluctuation modular primary winding segmented permanent magnet linear motor, including a secondary component and a primary component, at least one pair of secondary components are provided, and a permanent magnet with alternating polarity is pasted on the secondary core; the primary component adopts a multi-module segmented structure, characterized in that: each primary component is provided with matching sub-laps and mother-laps at both ends, two adjacent primary components are assembled and combined by sub-laps and mother-laps, and the width of the end coils at the matching positions of the sub-laps and mother-laps in the primary component is less than or equal to the width of the coils at the middle position. The primary component of the present invention adopts a splicing design of the primary component sub-laps and mother-laps, which can reduce the influence of the gap caused by the processing and assembly of the primary winding, and reduce the thrust fluctuation caused by the gap compared to the traditional motor, thereby achieving a significant reduction in the speed fluctuation of the mover and an improvement in the position control accuracy.

A semiconductor diode drying device disclosed by the present invention comprises a box body, a placing assembly is arranged in the box body, the placing assembly comprises fixing frames, a plurality of fixing plates, liquid leakage holes, a warm air blower, a liquid discharge plate, an air outlet pipe and a box door, the fixing frames are installed at the two ends of the interior of the box body, the number of the fixing plates is multiple, and the liquid leakage holes are communicated with the fixing frames. The fixing plate is slidably connected with the fixing frame, the fixing plate is detachably installed in the box body, the liquid leakage holes are evenly formed in the fixing plate, the warm air blower is installed at one end of the box body, the liquid drainage plate is obliquely arranged at the bottom of the box body, the air outlet pipe is arranged at the top of the box body, and the box door is rotatably connected to one side of the box body. An exhaust assembly is installed on the air outlet pipe, the exhaust assembly comprises an exhaust pipe, a motor and a threaded rod, and the exhaust pipe is connected to one end of the air outlet pipe, so that the technical problem that the quality of the semiconductor diode is difficult to guarantee in the drying process of the semiconductor diode in the prior art is solved.

The application discloses a kind of hybrid transmission clutch control parameter calibration method, device and vehicle, it is related to automobile power transmission system technical field.Therein, the method includes: based on the first clutch control parameter calibration table, determine the second clutch control parameter calibration table of hybrid transmission in the first working mode;Based on the second clutch control parameter calibration table, determine the third clutch control parameter calibration table of hybrid transmission in the first working mode;Pressure is controlled to clutch based on the third clutch control parameter calibration table.The application solves the technical problems of additional energy loss and efficiency decline caused by improper clutch pressure control in related technologies.

The invention relates to the technical field of intelligent detection of mold damage in the manufacturing industry, in particular to a mold damage identification method based on improved self-adaptive deep embedding clustering, which comprises the following steps of: firstly, acquiring a mold vibration signal or a surface defect image, and performing data enhancement preprocessing of scaling, normalization, random rotation and brightness adjustment; mapping to a low-dimensional embedding space through a deep neural network encoder containing a channel attention mechanism (SENet), optimizing an encoder and clustering center joint target, minimizing KL divergence and reconstruction loss to generate an embedding vector, and determining an optimal parameter through model evaluation; according to the method, the MNIST data set clustering accuracy reaches 99%, the NEU-DET data set defect detection rate reaches 94.2%, the precision reduction amplitude under noise interference is only 4.2%-6.3%, only 2.1 M parameters are needed, the parameter accuracy ratio is optimal, the mold damage recognition precision and robustness are effectively improved, and the method is suitable for complex industrial scenes.

This invention relates to a high-efficiency LLC half-bridge resonant switch controller circuit, comprising a current detection circuit, an oscillation clock generation circuit, a current loss tracking detection circuit, a comprehensive control logic circuit, an input buffer circuit, a feedback voltage detection circuit, a programmable dead time generation circuit, a level shifting circuit, a delay compensation circuit, an over-temperature protection circuit (OTP), an over-current protection circuit (OCP), and a high / low-side output drive circuit. This invention employs dead-time adaptive adjustment technology to improve the efficiency of the LLC half-bridge resonant controller. On one hand, it is controlled by the reference clock (OSC) to set different dead times; on the other hand, it can also respond to external changes in soft-switching losses by adjusting the dead time, thereby minimizing switching losses. This invention also employs load condition mode switching technology, dividing the operating mode into heavy-load and light-load modes based on the state of the voltage signal FB output by the LLC half-bridge resonant converter power system, thereby improving efficiency under light load conditions.

The optical system disclosed in the embodiments may include a first lens to a fifth lens arranged continuously along the optical axis in a direction from the object side to the image side, wherein each of the first lens to the fifth lens includes an object-side surface and an image-side surface, the effective aperture size of the image-side surface of the first lens is larger than the effective aperture size of the object-side surface of the first lens, and the thickness of the first lens is smaller than the thickness of the second lens.

The invention relates to the technical field of intelligent power grids and industrial automation control, in particular to a DC power supply coordination control system based on industrial big data. The system comprises a multi-dimensional heterogeneous data sensing module, a feature mapping module, a multi-target collaborative decision-making module and a self-adaptive execution module. The system constructs a load characteristic and electric energy quality correlation model based on the operation state and the power consumption demand, outputs dynamic electrical characteristics and sensitivity characteristics, and solves a power distribution instruction by taking power grid quality, load balance and efficiency as cooperative targets; according to the method, a perception decision-making framework crossing an electrical domain and a physical domain is constructed, hidden physical layer states such as impedance drift are mined through deep learning, the problem that a load physical state is ignored and production quality is disjointed in traditional control is solved, and the industrial yield and energy efficiency are improved while the quality of a power grid is guaranteed.

The present invention relates to a supply material automatic replacement device and an automatic replacement method, and a supply material automatic replacement device according to one embodiment of the present invention includes: an ejection unit that ejects a supply material to the outside; a pair of supply units that are disposed adjacent to the ejection unit and are provided with a supply roller on which the supply material is wound; and a pair of material connection units that are respectively disposed in the pair of supply units and are connected to a front end of a first supply material that is waiting in a first supply unit that is one of the pair of supply units and a rear end of a second supply material that is being transferred to the ejection unit in a second supply unit that is the remaining one of the pair of supply units.

The application provides a Nash equilibrium estimation method under time delay, which comprises the following steps: acquiring a system with n intelligent agents, constructing a time delay model of the system, converting the estimation of the deviation of Nash equilibrium under time delay into the upper limit of the deviation of the convergence value of the projection-free distributed gradient method under time delay according to the time delay model, determining the relationship between the perron vectors of the adjacent matrix of the system before and after the time delay is added, and determining the estimation result of the upper limit according to the relationship. The application has the beneficial effects that the upper limit of the deviation of the convergence value of the gradient algorithm under the time delay is estimated, the deviation under different time delays is analyzed according to the upper limit, the loss caused by the time delay is minimized, and more definite information is provided for system optimization and resource allocation.

An air conditioner including a refrigerant module includes a module housing and a first refrigerant chamber and a second refrigerant chamber formed in the module housing. The second refrigerant chamber is disposed adjacent to the first refrigerant chamber. The refrigerant module includes a first inflow flow path and a first discharge flow path formed in the module housing and fluidly connected to one of the first refrigerant chamber and the second refrigerant chamber. The refrigerant module also includes a second inflow flow path and a second discharge flow path formed in the module housing and fluidly connected to the other of the first refrigerant chamber and the second refrigerant chamber. The refrigerant module also includes an expansion valve disposed in the module housing and fluidly connected to the first discharge flow path, an expansion flow path formed in the module housing for the refrigerant expanded in the expansion valve to flow through, and a connection flow path formed in the module housing for fluidly connecting a compressor and a condenser.

The present disclosure relates to an induction heating type cooktop. The induction heating type cooktop includes a housing, a cover plate connected to an upper end of the housing and provided with an upper plate portion on which an object to be heated is disposed, a thin layer coated on the upper plate portion, a thermal insulator disposed below the thin layer, a work coil disposed inside the housing, a work coil cooling fan configured to blow air toward the work coil, and a bracket provided with a cooling passage in which air blown by the work coil cooling fan passes through the work coil and is discharged.

The invention discloses a self-powered silicon carbide intelligent power module with boost and negative voltage, and solves the problems of high conduction internal resistance, large switching loss and incomplete turn-off caused by the fact that an existing intelligent power module (IPM) is not integrated with a boost or step-down chip and cannot provide optimal working voltage for a SiC MOSFET (Metal-Oxide-Semiconductor Field Effect Transistor). The intelligent power module comprises an insulating heat dissipation substrate, a lead frame, a power device and a passive element which are integrated on the heat dissipation substrate, and a driving and power conversion chip integrated on the lead frame, the power device comprises a SiC MOSFET, an IGBT, a SiC SBD and an FRD, the passive element comprises a sampling resistor, an inductor and a capacitor, and the driving and power supply conversion chip comprises an HVIC, an LVIC1, an LVIC2, a Boost converter and a Buck converter. By means of the internally-integrated power conversion circuit, 18V positive voltage and-3V negative voltage can be generated only through 15V external power supply, the optimal driving requirement of the SiC MOSFET is met, meanwhile, the conventional driving voltage of the IGBT is reserved, and the power conversion circuit is suitable for motor driving and inversion systems in the fields of consumer household appliances, industry, new energy and the like.