399results about How to "Stable output" patented technology

An output drive circuit includes: a totem-pole output including: a high-side transistor (HST) with drain and source, an output stage power supply voltage applied to the drain, the source connected to the first node (N1); and a low-side transistor with source and drain, a ground voltage applied to the source, the drain connected to N1; and a bootstrap part including a capacitor supplying charge to a gate of HST when on, the charge being charged when HST is off, and one terminal of the bootstrap part connected to N1, the output drive circuit further including: a first transistor (T1) that conducts when HST is to be on, T1 connected between a drive circuit power supply voltage and the gate of HST; and a second transistor conducting when HST is to be turned on, the second transistor connected between the other terminal of the capacitor and HST gate.

The invention relates to a czochralski method-based crystal growth interface shape detection method and device. The method comprises the steps that: a seed crystal temperature T and an interface electromotive force U at the same time in a crystal growth process are collected, and a T-U curve of the interface electromotive force U changing with the seed crystal temperature T is obtained; the change trend of the shape of a crystal growth interface in real time is judged by observing the deviation between the T-U curve and a reference line, wherein the reference line is a straight line passing through the starting point of the T-U curve, and the slope of the straight line is the Seebeck coefficient of the crystal. The invention also relates to a device used by the method. The detection method provided by the invention can detect the change trend of the shape of the crystal growth interface in real time in the crystal growth process, and can be applied to Czochralski method growth equipment for various single crystals such as lithium niobate, lithium tantalate, sapphire, yttrium aluminum garnet and the like.

The invention provides a laser stripe center extraction method based on gray coefficient binarization, and aims to solve the problems of non-uniform brightness distribution of laser stripes, difficulty in extraction of weak stripes, breakage of center lines and the like. The method comprises the following steps: enhancing an image; realizing self-adaptive threshold segmentation through a local gray scale statistical model and a peak variable coefficient by using a gray scale coefficient binarization method; extracting a sub-pixel-level center point by combining a secondary positioning method of skeleton constraint; and carrying out fitting smoothing by adopting bicubic interpolation and a smooth spline method. According to the method, the problem of extraction of strong and weak stripes under complex working conditions is effectively solved, and the precision, connectivity and robustness of stripe center positioning are remarkably improved while background noise is suppressed.

The invention relates to the technical field of power systems, and discloses a photovoltaic equipment fault diagnosis method, system and equipment and a medium. The method comprises the steps of obtaining a structured multi-mode fault data set based on a disclosed photovoltaic data set and collected multi-source heterogeneous data generated in the operation process of photovoltaic equipment; selecting an initial multi-modal large language model, and constructing a feature-oriented dynamic routing architecture according to a pre-training weight matrix of the initial multi-modal large language model; based on the structured multi-modal fault data set, utilizing a pre-constructed joint training loss function to carry out fine tuning training on the initial multi-modal large language model to obtain a target multi-modal large language model; and inputting the real-time operation data of the photovoltaic equipment into the target multi-mode large language model for reasoning to obtain a fault diagnosis result of the photovoltaic equipment. According to the invention, efficient and accurate diagnosis of the photovoltaic equipment fault is realized.

The invention discloses a high-efficiency converter for adjusting the voltage of a power grid, and belongs to the technical field of power electronics. The converter comprises a first voltage regulation circuit, a second voltage regulation circuit, a filter circuit, a detection circuit and a control circuit. By detecting the amplitude difference between the power grid voltage and the load voltage, the control circuit automatically switches the Buck working mode or the Boost working mode, and stable alternating current output in a wide input voltage range is achieved. The invention has the advantages of compact structure, high efficiency, fast response, small harmonic wave and the like, and is suitable for industrial and civil occasions with large-range fluctuation and frequent power grid voltage.

The invention discloses a complex knowledge conflict-oriented retrieval enhancement generation method and system. The method comprises three steps of data set construction and type identification, retrieval enhancement generation assembly line construction and reasoning, and evaluation test. The assembly line comprises four modules: a fact mining module generates self-knowledge and self-facts in an unlabeled manner; the context alignment module constructs multiple queries, and obtains diversified evidences through MMR rearrangement; the structured generation module obtains the consistency degree through JSON controlled decoding and multiple sampling voting; and the answer refusing judgment module realizes accurate answer refusing in combination with the comprehensive confidence coefficient. The system is tested on a common and antagonistic data set, the effectiveness of each module is verified through an ablation experiment, and the robustness, the safety and the answer loyalty under a complex knowledge conflict and confrontation scene can be improved.

The invention provides a Bayesian-based aviation equipment residual life uncertainty prediction method and system. The method comprises the following steps: S1, constructing an observation function equation and a state parameter description equation of residual life of key or important systems, modules and parts of aviation equipment; s2, constructing an agent model; s3, solving joint posterior probability distribution and performing residual life prediction; and S4, according to the prediction probability distribution of the remaining life of the aviation equipment, generating an optimization control instruction or a maintenance instruction for the aviation equipment, and acting the optimization control instruction or the maintenance instruction on the aviation equipment. The method provided by the invention not only provides a theoretical basis for solving the problem of prediction, analysis and prediction of the service life of the aviation equipment, but also clearly defines how information and uncertainty thereof flow and convert between a physical world and a digital world, and provides a brand new thought for prediction of the uncertainty of the residual service life of the aviation equipment.

A battery system is provided that can suppress degradation as much as possible with a lightweight and low-cost battery structure while avoiding a significant drop in battery voltage. The battery system disclosed herein includes: a battery pack comprising a first battery group and a second battery group, the first battery group being composed of multiple cells connected in series, and the second battery group being composed of a different number of cells connected in series than the first battery group, and setting the voltage value of the first battery group in a low SOC state as an upper limit voltage; a switching mechanism capable of switching at least to a first connection mode connecting the first battery group to a load, or a second connection mode connecting the first battery group and the second battery group in parallel to the load; and a battery control device that controls the switching mechanism, wherein when the first battery group is in a low SOC state, the battery control device switches from the first connection mode to the second connection mode via the switching mechanism.

This utility model relates to the field of electrical energy detection technology, and proposes a high-current electrical energy detection device with closed-loop control function. The device includes: a programmable power source module, including an output drive unit for outputting current, voltage signals, and waveforms within a large current range; a standard measurement module connected to the output drive unit for detecting the current, voltage signals, and waveform parameters output by the output drive unit; a waveform sampling module connected to the output drive unit for sampling the waveform output by the output drive unit; a closed-loop control module bidirectionally connected to the programmable power source module and the waveform sampling module for adjusting the current, voltage signals, and waveforms; and an external device detection interface connected to the output terminal of the output drive unit for connecting different types of high-current metering devices. This utility model solves the problems of measurement error superposition, unstable output, and insufficient measurement range in traditional detection devices.

The present application relates to the technical field of gait analysis, and discloses a gait plantar pressure intelligent prediction system based on a Transformer structure, which comprises a gait collection platform, a plantar pressure collection device, a gait kinematics collection device, a central processing server and a display terminal. The system obtains initial plantar pressure distribution through a lower limb multi-rigid-body chain biomechanical model and foot-ground contact mechanics solution; and constructs a gated prefix memory sliding window Transformer in the central processing server, performs time series modeling and spatial correction on the initial pressure matrix and gait characteristics, and generates plantar pressure prediction results conforming to the biomechanical law. The system effectively solves the problems of unstable prediction, weak generalization ability and lack of interpretability of traditional methods, realizes higher-precision plantar pressure prediction, and can be used for gait evaluation, rehabilitation training and orthosis customization.

The application discloses a steam generator with multiple modules and a control method. The steam generator comprises a first steam generating unit and a second steam generating unit, the first steam generating unit is provided with a first steam outlet, the second steam generating unit is provided with a second steam outlet, and the first steam outlet and the second steam outlet are in time-sharing switchable communication with a steam discharge main channel; one of the first steam generating unit and the second steam generating unit is in communication with the steam discharge main channel to discharge steam, and the other is disconnected from the steam discharge main channel to generate and accumulate steam, and the states of the two are time-sharing switched; the steam generating unit in the steam discharging state is powered off, and steam output is maintained by using waste heat. The steam generator and the control method provided by the application can work with the power consumption value of a single steam generating unit, and continuous and stable high-pressure steam can be provided through asynchronous working and timely switching without increasing the total power consumption of the steam generating unit.

The invention relates to waterborne polyurethane and a preparation method thereof.The method comprises the steps that polyhydric alcohol and isocyanate are subjected to a prepolymerization reaction, and when the content of isocyanate groups of a prepolymer reaches a target value, the prepolymer is diluted to obtain a prepolymerization solution; adding a chain extender into the pre-polymerized solution to carry out chain extension reaction, and dispersing and emulsifying with water after the reaction is finished to obtain waterborne polyurethane; the reaction characteristic index is controlled to be-5lt in the preparation process; slt; r is the molar ratio of the isocyanate group to the hydroxyl group when the raw materials are put, E is the mass fraction of the chain extender in the prepolymer, t is the water adding dispersion time, T is the chain extension reaction temperature, and delta p is the pressure drop rate during water dispersion. According to the method, the problem of coordinated regulation of multiple process parameters is solved, and the waterborne polyurethane product with the dispersion particle size of 130-210 nm can be stably prepared.

The application discloses a few-mode fiber amplifier structure, comprising: a first few-mode spatial isolator coupler, a second few-mode spatial isolator coupler, a first photodetector, a few-mode spatial combiner, a laser and a second photodetector; the few-mode spatial combiner is arranged between the first few-mode spatial isolator coupler and the second few-mode spatial isolator coupler, the first photodetector is arranged adjacent to the first few-mode spatial isolator coupler, the second photodetector is arranged adjacent to the second few-mode spatial isolator coupler, the laser is arranged adjacent to the few-mode spatial combiner and outside the few-mode spatial combiner, the first photodetector is arranged adjacent to the first few-mode spatial isolator coupler and outside the first few-mode spatial isolator coupler, and the second photodetector is arranged adjacent to the second few-mode spatial isolator coupler and outside the second few-mode spatial isolator coupler.

The invention relates to the technical field of power supply and distribution systems, and discloses a state-aware undisturbed switching control method for a heat pipe cooling double-loop system, which comprises the following steps of: acquiring a hot node temperature and a steady-state integral operator value of a main heat dissipation distribution branch for representing a power load heat dissipation state, and synchronously monitoring cold-state temperature response data of a standby branch; constructing a dynamic thermal resistance topological model and substituting a steady-state integral operator numerical value to inversely calculate an integral preset initial value; according to the invention, the switching logic is reconstructed to an automatic control function unit logic domain, a mechanical execution dead zone and phase change latent heat hysteresis are cooperatively eliminated, and the thermal power regulation execution unit is controlled to be stable and reliable. Transient thermal pulsation of a power distribution environment is suppressed, and thermal safety of a high-power load power supply link is guaranteed.

This invention provides an infrared thermal imaging method, relating to the field of infrared thermal imaging technology. The method utilizes a germanium infrared lens in an infrared thermal imaging system, whose surface is sequentially composed of subwavelength micro / nano structures and an anti-reflection film structure from the inside out. The infrared thermal imaging method includes: focusing target infrared radiation through the germanium infrared lens onto an infrared detection array; the infrared detection array converting the target infrared radiation into an electrical signal matrix; performing noise reduction and gain correction on the electrical signal matrix to obtain a preprocessed electrical signal matrix; performing temperature compensation on the preprocessed electrical signal matrix based on a temperature compensation formula and a transmittance temperature model to obtain a corrected signal matrix; and sequentially performing non-uniformity correction, image enhancement, and pseudo-color mapping on the corrected signal matrix before outputting and displaying the result. Using the method of this invention, higher transmittance, lower reflection loss, and more stable thermal imaging can be achieved.

The invention provides a weak illuminometer calibration system and calibration method. The method specifically comprises the following steps: S1, determining a calibration coefficient of a measurement system; s2, calculating to obtain a corresponding illumination correction factor; and S3, calculating a standard micro-illuminance value of the calibrated illuminometer by combining the display value of the first luminosity detector, the calibration coefficient and the illuminance correction factor under the corresponding aperture, and obtaining a relative indication error of the calibrated illuminometer by comparing a response value Ex of the calibrated illuminometer with the standard micro-illuminance value. Based on a highly-integrated linear optical system, the problems that in a traditional mode, the calibration process is tedious and prone to being interfered by the environment, errors are transmitted step by step, and precision is insufficient due to light intensity attenuation are solved, efficient, high-precision and traceable calibration in a weak illumination interval is achieved, operation is easy and convenient, and cost is low.

The utility model relates to an adjustable damping structure which comprises an output shaft, a driving motor, a damping piece and an adjusting assembly. The driving motor is connected with the output shaft and is used for driving the output shaft to rotate; the damping piece is installed on the output shaft and used for generating friction with the output shaft when the output shaft rotates. The adjusting assembly comprises a spring, a rotation stopping gasket and a locking nut which are sequentially installed on the output shaft, the damping piece is arranged on the side, away from the rotation stopping gasket, of the spring, and rotation stopping tooth-shaped parts which can be meshed with each other are arranged on the surface of the rotation stopping gasket and the surface of the locking nut. Wherein the output shaft is provided with a thread matched with the locking nut. The damping torque can be adjusted in real time, operation is easy and convenient, the anti-loosening function is achieved, it can be ensured that the damping torque is output stably, and use reliability is effectively improved.

This invention discloses a comprehensive energy operation simulation method and system based on multi-objective optimization, belonging to the field of energy technology, aiming to solve the problems of equipment overload and discontinuous power supply caused by supply and demand imbalance under extreme climate conditions. The method establishes a multi-objective collaborative optimization model based on the renewable energy types and seawater desalination load characteristics of the island microgrid. An improved NSGA-III algorithm is used to simulate the model and generate a scheduling scheme, including the start-up and shutdown sequence of the hydrogen production equipment. When a typhoon warning signal is received, the seawater electrolysis hydrogen production equipment is forcibly locked, and the output power of the diesel generator is fixed within a preset range. During the operation of the hydrogen production equipment, the output fluctuation data of the wave energy generator is collected in real time, and the operating power of the reverse osmosis seawater desalination unit is adjusted through a dynamic correction algorithm. When the hydrogen storage capacity of the hydrogen production equipment reaches a threshold, the power lock of the diesel generator is released, switching to a multi-energy coupling control mode, and the charging and discharging strategy of the energy storage equipment is updated synchronously.

The information processing apparatus includes a detection unit that detects a moving body from each frame image of a dynamic image, a calculation unit that calculates a reliability that the detected moving body is a prescribed photographed body, and a decision unit that decides a detection frame of a first moving body detected in a first frame based on a reliability of the first moving body based on a frame that encloses the first moving body and a reliability of the first moving body in the first frame based on a detection frame of a second moving body detected in a second frame before the first frame, and records to a recording unit.

The invention relates to the technical field of solid lasers, and particularly provides a narrow-linewidth tunable dual-wavelength laser output system based on data driving, which comprises a pumping source, a resonant cavity, a data acquisition unit and a data receiving and driving device, a single gain medium, two F-P etalon and an F-P angle regulator are arranged in the resonant cavity, the inclination angles of the two F-P etalon are adjusted through an F-P angle adjuster so as to perform longitudinal mode selection and wavelength tuning on the output laser of the resonant cavity; a neural network screening model is arranged in the data receiving and driving device, the neural network screening model is used for learning the mapping relation between intracavity parameters and output laser optical parameters, and dual-wavelength simultaneous locking and line width prediction are achieved through dual-etalon collaborative mode selection and data driving of the neural network screening model. According to the invention, the complexity of the system is greatly simplified, and dual-wavelength, narrow-linewidth, high-stability, repeatable and automatic laser output regulation and control which cannot be achieved by a traditional architecture are realized functionally.

The present application relates to the ultraviolet and visible light co-aperture zoom system of alpha particle visual detection, belongs to optical device technical field, solves the problem that existing detection equipment cannot synchronously carry out ultraviolet and visible light imaging and the observation field is fixed. The system includes first fixed lens group, variable power lens group, compensation lens group, light splitting prism, second fixed lens group and third fixed lens group, each fixed lens group is fixedly arranged, variable power lens group and compensation lens group move along the optical axis direction to realize zoom, the light splitting prism divides the light beam into two paths of ultraviolet and visible light, and the second fixed lens group and the third fixed lens group are used for imaging on the corresponding image sensor. The present application can realize continuous zooming and ultraviolet and visible light imaging under different fields of view by adopting co-aperture and the collaborative movement of variable power lens group and compensation lens group, and the distortion degree is small, and high-quality imaging effect can be stably output.

The invention discloses a method for producing lucid ganoderma from sweet-scented osmanthus by-products and interplanting the lucid ganoderma and towel gourds, which comprises the following steps: S1, preparing a lucid ganoderma culture medium and a fungus bag, namely crushing and mixing sweet-scented osmanthus wood chips, sweet-scented osmanthus seed crushed materials, oyster powder and towel gourd stems according to a ratio, braising for half an hour, fishing out, bagging and sterilizing to obtain a sterilized culture medium; inoculating and cultivating bacteria until hyphae grow over the substrate; s2, a ganoderma lucidum growing field is built and managed, in mid-to-late April, the material bags subjected to fungus growing are moved into a ganoderma lucidum shed, and ganoderma lucidum growing management is conducted in a semi-bag-removing mode; s3, interplanting the towel gourds; s4, ganoderma lucidum growing environment control: controlling the temperature in the ganoderma lucidum shed to be less than 32 DEG C, and controlling the humidity in the ganoderma lucidum growing management period to be greater than 90%; step S5, harvesting and post-processing. The interplanting mode improves the land utilization rate per unit area, the ganoderma lucidum and the towel gourds grow synergistically, the yield of the ganoderma lucidum and the towel gourds is stable, the quality is guaranteed, effective components of the ganoderma lucidum are completely reserved, the planting income per unit area is greatly increased, and the method is suitable for large-scale application and popularization.

This invention discloses a low-temperature evaporation crystallization system and its usage method, including a distillation kettle, the top of which has a steam pipe connected to a distillation water system via a cold-side heat exchanger. The distillation kettle is equipped with a heat exchange component to heat the internal raw liquid. The output end of the heat exchange component is connected to a storage tank containing refrigerant. The heat exchange component, storage tank, cold-side heat exchanger, and compressor form a heat pump circulation loop. A branch 1 is connected in parallel to the heat pump circulation loop between the storage tank and the cold-side heat exchanger, and a refrigerant pump is installed on the branch 1. A fourth branch is connected in parallel to the heat pump circulation loop between the cold-side heat exchanger and the distillation kettle. A heat exchange structure is provided at the bottom of the storage tank, which heats the refrigerant in the storage tank during the preheating stage. Thus, heating the refrigerant during the preheating stage replaces the existing heating of the raw liquid, effectively avoiding damage to the properties of the raw liquid during preheating. Furthermore, the overall layout is simple and compact, and can be quickly adapted to meet the preheating requirements of low-temperature evaporation.

The utility model discloses a special furnace end for a commercial fuel oil pot furnace, which comprises a furnace end seat, a placing cavity is arranged on the end face of the furnace end seat, an ignition cover is integrally formed on the end face of the furnace end seat, an upper flame arrester, a lower flame arrester and a flame distributor are arranged in the placing cavity, and a rotating mechanism is arranged in the ignition cover. The outer walls of the upper and lower flame arresters are cover bodies, annular flanges are integrally formed on the attached edge surfaces, and the rotating mechanism is used for driving the upper flame arresters to rotate relative to the positions of the lower flame arresters. By means of meshing transmission of the gear and the annular gear disc, the upper slow fire device is driven to rotate relative to the lower slow fire device, the overlapping area of the first fire outlet hole and the second fire outlet hole is dynamically adjusted, accurate control over the flame jetting amount is achieved, and compared with a traditional furnace end, the furnace end can stably output slow fire needed by slow stewing with small fire, and the energy consumption is reduced. The cooking liquor is effectively prevented from boiling and overflowing or food materials are prevented from being locally overheated and scorched, and the cooking quality of soup cooking and porridge cooking is remarkably improved.

This invention discloses a method for constructing large-scale model applications based on configurable workflows and domain knowledge bases, comprising the following steps: S1, constructing a domain knowledge base, establishing a semantic graph, and generating a knowledge embedding dataset; S2, defining a configurable workflow, setting jump rules based on a semantic flow language, and binding task semantic tags; S3, configuring a Prompt adaptive generation mechanism, combining semantic tags and the knowledge embedding dataset to generate Prompt input text; S4, calling the knowledge embedding dataset, retrieving semantic fragments, and embedding them into the Prompt to form an enhanced Prompt input; S5, inputting the large language model to obtain return results and metrics, and performing jump judgment; S6, scheduling large language model service instances, dynamically selecting service interfaces based on metrics and task status; S7, processing process termination nodes, organizing output results, and recording logs and call data. This invention achieves intelligent scheduling and application construction of large-scale models based on workflows and knowledge bases.

The application discloses an inverter which is composed of a switched capacitor circuit and a bridge switching circuit; the switched capacitor circuit and the bridge switching circuit are connected with each other; the bridge switching circuit is composed of a left half bridge switching circuit and a right half bridge switching circuit; the left half bridge switching circuit and the right half bridge switching circuit are connected with the switched capacitor circuit respectively. The inverter contains a single direct current input source, six switching tubes, one capacitor and one inductor; the process of charging and discharging of the capacitor in a capacitor period realizes self-balancing of the capacitor voltage, each capacitor keeps the same working state, and stable output of the inverter is realized.

The application relates to the technical field of cognitive function assessment, in particular to a cognitive assessment method and system based on eye movement test. The cognitive assessment method based on eye movement test comprises the following steps: a cognitive task covering multiple cognitive subdomains is measured on a subject in a preset order, eye movement data corresponding to each cognitive task is obtained by taking a preset interest area of each cognitive task as a spatial constraint; quality control and preprocessing are performed on the eye movement data, multi-dimensional eye movement features are extracted and standardized; each cognitive task score and overall cognitive ability quantitative score are calculated to obtain standardized individual cognitive parameters; a normal population cognitive parameter distribution is taken as a benchmark to construct a multi-cognitive subdomain parameter distribution model, a subject cognitive state is judged by combining a machine learning classification model, and a mild cognitive impairment assessment result is obtained. The cognitive assessment method based on eye movement test can comprehensively depict the cognitive state of an individual and realize multi-dimensional joint assessment.

The utility model relates to the technical field of radiation detection equipment, in particular to a quick disassembly and assembly calibration mechanism for radiation detection equipment, which comprises a base, a support frame, an adjusting ring and a calibration assembly. The calibration assembly comprises a segmentation part, a driving module, a conversion part, a voltage stabilization part, a synchronization module and a distribution module, signal segmentation transmission is achieved through the segmentation part, the driving module and the conversion part are matched to switch calibration areas, the voltage stabilization part guarantees stable output of signals, the synchronization module achieves synchronous adjustment of the signals, and the distribution module evenly distributes the signals. The calibration mechanism can be quickly disassembled and assembled, the calibration efficiency and adaptability are remarkably improved, and the requirements of modern radiation detection equipment for high precision, quick response and flexible adjustment are met.

The utility model relates to a kind of device of pulse laser pulse sub-string, including pulse laser, laser attenuation device, laser beam-reducing device, laser polarization device, wave sheet, Pockels cell, output mirror, waveform detection device, and output mirror is to the waveform detection device output first light beam and to the original light path reflection second light beam;Laser polarization device side is also configured full mirror;Pockels cell is connected with high-voltage pulse generator, pulse laser is also connected with digital delay pulse signal generator, and digital delay pulse signal generator is used to send synchronization signal to high-voltage pulse generator to control high-voltage pulse generator to generate voltage pulse when pulse laser emits laser beam reaches Pockels cell.This application realizes the stable control and output of pulse sub-string by the electro-optic modulation characteristics of Pockels cell, compared with traditional method of improving laser repetition frequency, implementation is simple, and use component is less, while guaranteeing stability, reduce cost.

The application discloses a kind of based on multimodal data fusion pumped storage unit fault diagnosis method, the voiceprint signal of pumped storage unit, infrared thermal image and historical operation data are collected, improved unscented Kalman filtering algorithm is used to denoising processing voiceprint set, the voiceprint signal after denoising and historical operation data are trained using COMRes+Model, future voiceprint signal is predicted, improved Deeplabv3+Model is used to train image set, and the features of infrared thermal image are extracted;Voiceprint feature, historical operation data text feature and image feature are input into improved CentralNet model for multimodal data fusion, and the fault category is output through classification identification module, so as to complete the diagnosis of pumped storage unit fault;The method can effectively improve the accuracy and efficiency of fault diagnosis by the fusion of multimodal data and the optimization of deep learning model, and provide strong guarantee for the safe operation of pumped storage unit.