249results about How to "Good precision" patented technology

The invention provides a lightweight large model operation method based on end-side deployment. The lightweight large model operation method comprises the following steps: acquiring equipment operation data and storing a model file in a mixed precision format according to quantization precision supported by terminal equipment; determining a mixing precision quantification strategy and carrying out strategy analysis on the equipment operation data; a Key-Value cache file obtained through model reasoning in the historical dialogue is reserved; calculating a semantic embedding vector of the second user request, calculating a cosine similarity between the semantic embedding vector and the first V vector, and judging whether the second user request has a similar intention or not according to a calculation result; and if yes, performing incremental reasoning on the second user request by multiplexing the Key-Value cache file. By monitoring the state of the terminal equipment in real time, dynamically adjusting the quantization level, multiplexing the cache data of the semantic related requests and merging batch request reasoning, the effects of balancing the energy consumption and performance of the terminal equipment, reducing repeated calculation and improving the service time of the equipment and the user experience are achieved.

The invention discloses a shallow reinforcement mesh echo suppression method and system based on deep learning, and the method comprises the steps: employing a ground penetrating radar to detect a shallow reinforcement mesh shielding scene, obtaining corresponding data information, and processing the data information to obtain a training data set; based on a U-net network structure, combining a convolution unit, a pooling unit, an attention mechanism, interpolation operation and a jump connection mechanism, constructing a shallow reinforcement mesh echo suppression initial model, and training to obtain a shallow reinforcement mesh echo suppression model; and adopting the obtained shallow reinforcing mesh echo suppression model to perform shallow reinforcing mesh echo suppression in the actual ground penetrating radar detection process. According to the method, echo suppression of the shallow reinforcing mesh based on deep learning is realized, the reliability is higher, and the accuracy is better.

The application discloses a voltage stability determination method based on multi-station short-circuit ratio, comprising the following steps: obtaining data information of a target power system; constructing a global equivalent node impedance matrix of the target power system based on a node admittance equation and a reduced order method; constructing a space load active power shunt contribution coefficient matrix; combining nominal active power output of each new energy station to calculate net external active stress of each new energy station applied to the equivalent alternating current network; calculating a multi-station short-circuit ratio index of the target power system; and completing voltage stability determination of the target power system. The application further discloses a system for implementing the voltage stability determination method based on the multi-station short-circuit ratio. The application not only realizes voltage stability determination of the power system, but also has higher reliability and better accuracy.

The application discloses a kind of federal positioning method based on individualized patch and dynamic fusion, belong to indoor positioning and federal learning technical field.When applying federal learning to indoor Wi-Fi fingerprint positioning of Internet of Things, global model is often difficult to capture local data feature preference, local training cost is high and poor adaptability alone, the present application is by setting individualized patch and dynamic parameter fusion mechanism, reduce the influence of above-mentioned problem on positioning performance.The algorithm configures private position decoder as individualized patch for each local client, extracts local data features in training and uploads to server, server calculates the similarity of data distribution between clients to generate combination weight, for local clients with similar data distribution, individualized patch can selectively linearly combine with the decoder of the local model with higher relevance, avoid local model overfitting, improve the positioning performance of global model in local scene.

The application relates to the technical field of data transmission, and discloses an industrial Internet of Things data transmission optimization method in a complex environment, which comprises collecting data transmission parameters and environment parameters of industrial Internet of Things equipment in a complex environment, generating original data transmission data sets and environment parameter data sets; preprocessing the original data transmission data sets and the environment parameter data sets, including data cleaning, normalization and feature extraction, generating preprocessed data transmission feature data and environment features; collecting data transmission parameters and environment parameters of the industrial Internet of Things equipment, and performing data cleaning, normalization and feature extraction on the data transmission parameters and the environment parameters, so as to generate preprocessed feature data, guarantee the accuracy and reliability of data transmission analysis, simultaneously perform timestamp alignment and space correlation processing on the environment parameters and the transmission parameters, perceive the influence of the complex environment, and guarantee the accuracy and integrity of the data transmission optimization basic data.

The utility model relates to lathe technical field provides a good micro - numerical control lathe of chip removal, solve the problem that lathe horizontal work surface falls the chip not easy clearance and the chip falls into the guide rail and influences the problem of tool rest feed. Scheme, the work surface of bed body is inclined surface, the lathe still includes: X axle assembly, include: a) X axle bottom plate, set up on the work surface of bed body, have X axle guide rail on it, b) workbench, slide connection in X axle guide rail, its upper portion is fixed with tool rest, c) first linear drive assembly, drive workbench and move along X axle direction, d) X axle protection assembly, install in workbench X axle direction both ends, protect X axle guide rail, Z axle assembly, include: a) Z axle guide rail, set up in the work surface of bed body, X axle bottom plate bottom slide connection in Z axle guide rail, b) second linear drive assembly, drive X axle bottom plate and move along Z axle direction, c) Z axle protection assembly, install in X axle bottom plate Z axle direction both ends, be used for protecting Z axle guide rail.

The invention relates to the field of ankle joint rehabilitation robots, in particular to a one-translation and two-rotation type parallel ankle joint rehabilitation robot and a working method. The parallel mechanism comprises a static platform, a first mixed branch chain, a second just constraint branch chain and a movable platform, and a basic kinematic chain containing two loops is formed. The mechanism only comprises a translation pair and a rotation pair, so that the mechanism has the advantages of high rigidity and good precision.

The invention belongs to the technical field of powder metallurgy, and particularly relates to a preparation method of a titanium alloy part with a precise inner runner, which comprises the following steps: preparing a required inner runner structure model by adopting a 3D printing technology, obtaining a titanium alloy blank with an inner runner structure through positioning pressing, degreasing and sintering, and finally preparing the titanium alloy part with the precise inner runner according to the size requirement of a finished product. And the titanium alloy part with the fine inner runner can be obtained only by performing finished product processing on the appearance of the runner plate. According to the method, machining and subsequent welding procedures of the titanium alloy inner runner are avoided, the preparation period is greatly shortened, meanwhile, the problems of titanium alloy plate deformation caused by the inner runner machining process in a conventional method and welding defects, low welding yield and the like in the welding process are avoided, the yield of the runner plate can be effectively increased, and the production cost is reduced. And the production cost is greatly reduced.

The application discloses a reconstruction method and system for a cavity under a shallow reinforcement net shelter, and comprises the following steps: constructing a layered medium scene containing a shallow reinforcement net and a cavity; acquiring image data information with different shelter states and preprocessing to construct a reconstruction data set; constructing a reconstruction initial model for the cavity under the shallow reinforcement net shelter and training to obtain a reconstruction model for the cavity under the shallow reinforcement net shelter; and using the obtained reconstruction model for the cavity under the shallow reinforcement net shelter to perform actual reconstruction for the cavity under the shallow reinforcement net shelter. The application acquires multiple types of training data through the constructed layered medium scene containing the shallow reinforcement net and the cavity, and trains the reconstruction model for the cavity under the shallow reinforcement net shelter which comprises a U-shaped network, a Sobel operator, an attention mechanism, a residual structure, an average mechanism and a skip connection scheme. Therefore, the application can not only realize the reconstruction for the cavity under the shallow reinforcement net shelter, but also has higher reliability, better accuracy and higher reconstruction efficiency.

This invention discloses a high-precision single-ended read circuit based on a voltage-controlled magnetic anisotropic magnetic memory (VMI). The circuit includes a master-slave RFSE read sensing circuit, a finely adjustable voltage divider circuit, and a read control signal generation circuit. The master-slave RFSE read sensing circuit comprises two independent RFSE read sensing circuits, enabling alternating read operations during the reset and sensing phases. The finely adjustable voltage divider circuit fine-tunes the bit line voltage within a ±10% range of the voltage divider resistor to compensate for process variations and voltage drift. The read control signal generation circuit generates an adjustable asynchronous read control signal through a read delay chain structure. The memory cell being read consists of a magnetic tunnel junction (MTJ) and a memory access transistor. This circuit innovatively introduces a finely adjustable voltage divider circuit, eliminating the need for a traditional reference cell and effectively resisting PVT fluctuations. High-speed, high-precision asynchronous reading is achieved through the master-slave RFSE read sensing circuit and the read control signal generation circuit.

The application discloses an automatic analyzer for detecting aniline compounds in liquid and a determination method, and realizes automatic and rapid determination of aniline compounds in liquid samples through the design, connection and control of flow paths and structures, and the analysis processes such as automatic sampling, reagent adding, mixing reaction and spectrophotometric detection, so that reagent consumption and waste liquid discharge are reduced, and the analysis detection sensitivity, accuracy and precision are improved.

This invention relates to the field of particleboard production equipment technology, specifically to a surface-oriented particleboard (SOC) laying device, comprising a laying roller, sliders, slide rails, and an adjustment assembly. The laying roller is rotatably connected to the sliders at both ends; the sliders are slidably connected to the slide rails; the slide rails are arc-shaped and centered on the midpoint of the laying roller's axis; the adjustment assembly connects to two sliders respectively, allowing the two sliders to move in opposite directions along their corresponding slide rails to adjust and fix the tilt angle of the laying roller. This invention can adapt to the high-precision continuous laying requirements of multi-specification particleboard.

The application discloses a kind of high-speed acquisition system and acquisition method applied to optical absolute gravimeter laser interference fringe signal, the system includes analog signal conditioning unit, analog-digital conversion unit, system core control unit, data cache unit, data transmission unit and measurement and control terminal processing display unit.The application is directed to laser interference fringe signal frequency is high, voltage amplitude is low, acquisition rate is fast, and absolute gravity precision measurement requires signal integrity, measurement precision is high, and the high-speed acquisition system of laser interference fringe signal of optical free-fall absolute gravimeter based on FPGA is designed, the advantage of FPGA parallel computation processing is fully utilized, in combination with serial bus transmission technology (USB) and FIFO cache technology, the processing time of acquisition system in interference fringe signal acquisition, storage and transmission etc. is greatly shortened.The application effectively improves the acquisition speed of absolute gravity, and provides basic guarantee for realizing dynamic measurement and monitoring of absolute gravity.

The utility model discloses casting slag ladle manufacturing equipment which comprises a ladle body, a trunnion, a ladle body reinforcing rib, a tank car fixing lug and a ladle bottom radian, the ultrasonic flaw detection percent of pass of the trunnion reaches 100% through an accurate trunnion pre-embedding device and a reasonable sand mould manufacturing process, and the structural strength and rigidity are enhanced through unique ladle body design and reinforcing rib layout. The bearing capacity is improved, deformation is reduced, and the service life is prolonged. In the aspect of the production process, the sand mold manufacturing mold is split by the horizontal center line of the tank car fixing lug, and sand mold manufacturing is efficiently and accurately completed; the box closing device is matched with the pouring system, smooth box closing pouring is guaranteed, the rejection rate is reduced, the production period is shortened, and the efficiency is improved. In the aspect of cost control, the equipment process is optimized, the yield is improved, the waste loss is reduced, meanwhile, equipment such as a sand mold manufacturing mold is durable, the maintenance cost is reduced, the safety accident risk caused by slag ladle faults during steelmaking slag conveying is effectively reduced, and the personnel safety and the production order are guaranteed.

The utility model discloses a kind of surface treatment equipment for alloy ball tooth processing, belong to alloy ball tooth processing technical field, including base, fixedly installed with fixed motor in the base, the output shaft end portion of fixed motor is fixedly installed with disc, several inclined slides are opened in the disc, and rolling installation is carried out in inclined slide, and the roller is rolled in the inclined slide, several straight slides are opened in the upper surface of base, and sliding block is slidably installed in straight slide, the roller is rotatably installed in the lower surface of sliding block, the upper surface of sliding block is fixedly installed with fixed thimble;By setting disc cooperation roller and sliding block and fixed thimble use, the rotation of disc cooperation roller drives four sliding blocks to move synchronously inward or outward, and then four fixed thimbles are used to realize the four-way positioning of workpiece, improve the stability of fixed effect, avoid the phenomenon of fixed shaking, ensure that subsequent ball tooth surface processing operation accuracy is good.

The present application relates to a method for detecting the content of a glycosaminoglycan carboxylated derivative in a sample, and an application thereof. The method comprises: (1) hydrolyzing a sample to obtain a hydrolysate containing a compound as represented by formula (I); (2) testing the hydrolysate by means of liquid chromatography-tandem mass spectrometry; and (3) by using a glycosaminoglycan carboxylated derivative as a standard substance, hydrolyzing solutions thereof having different gradient concentrations according to the method in step (1), detecting, according to the method in step (2), mass spectrum signal peak areas of the compound as represented by formula (I) in the hydrolysates of the standard substance solutions having different concentrations, forming a standard curve on the basis of the mass spectrum signal peak areas against the amounts of the glycosaminoglycan carboxylated derivative standard substance, and according to the standard curve, calculating the content of the glycosaminoglycan carboxylated derivative in the sample according to the mass spectrum peak areas of the compound as represented by formula (I) determined in step (2). According to the method in the present application, hydrolysis products of a specific structure can be stably obtained by hydrolysis of the glycosaminoglycan carboxylated derivative, the structure can be detected by means of MS, and a hydrolysis product having higher mass spectrum abundance is selected, so that the amount of the glycosaminoglycan carboxylated derivative can be indirectly calculated. Moreover, the detection method has strong specificity, high accuracy, good precision, low limit of quantitation, and low limit of detection.

The utility model provides an all-dimensional cleaning device for a PH meter. The all-dimensional cleaning device for the PH meter solves the problems that existing cleaning equipment is not comprehensive and thorough in PH meter cleaning, low in efficiency and the like. The device comprises a driving mechanism located on the upper portion and a cleaning mechanism located on the lower portion, the driving mechanism comprises a translation assembly, a lifting assembly is driven on the translation assembly, a rotating assembly is driven on the lifting assembly, and a PH meter is arranged on the rotating assembly; the cleaning mechanism comprises a cleaning tank, a spiral spray pipe is arranged in the cleaning tank, a spray-washing space is formed in the inner circumference of the spiral spray pipe, the spiral spray pipe is provided with a plurality of nozzles facing the spray-washing space, and the PH lowering meter extends into the spray-washing space. The all-dimensional cleaning device for the PH meter has the advantages of being efficient, comprehensive, accurate and automatic, the cleaning quality of the PH meter can be effectively improved, the manual operation cost is reduced, the overall efficiency of a production line is improved, and good adaptability and reliability are achieved.

The utility model relates to the technical field of beam deflection detection, and aims to solve the problems that a mounting frame needs to be fixed on a bridge body when an existing detector is fixed, time and labor are wasted in disassembly and assembly, and a bridge can be damaged to a certain extent. The utility model provides a low plate girder deflection detection support. The low plate girder deflection detection support comprises a detector, a positioning assembly and a lifting rod. The lifting rod is vertically arranged at the top of the positioning assembly; a leveling assembly is arranged at the end, away from the positioning assembly, of the lifting rod. A mounting platform is arranged at the top of the leveling assembly; the detector is arranged at one end, far away from the leveling assembly, of the mounting platform; the beam deflection detection support provided by the utility model is good in accuracy, convenient to disassemble and assemble and convenient to flexibly transfer, and does not cause damage to a bridge body.

The application belongs to the technical field of image processing, and particularly relates to a circuit pattern feature matching method based on dense matching. The method firstly performs multi-scale feature fusion on a to-be-detected image and a template image respectively to obtain a low-resolution fusion image, then the multi-scale features of the two images are subjected to a convolution to obtain key point heat; the low-resolution fusion image is subjected to a linear layer to obtain a confidence map, finally in a feature matching stage, a feature descriptor is formed by key points with high confidence scores, the feature descriptor is adjusted to obtain an image descriptor, the similarity between the image descriptors is calculated to perform nearest neighbor matching, and a rough key point matching pair is calculated; the matching result obtained from the rough granularity matching stage is used for further fine alignment, the positions of the corresponding key points in the image are more accurately adjusted, and therefore more accurate matching is obtained. The method makes the positions of the matching key points more accurate, and realizes more accurate and efficient image matching.

The application discloses a kind of estimation method and system of vegetation canopy combustible moisture content based on meteorology and remote sensing data, comprising the following steps: first, combustible moisture content and various meteorological data and remote sensing data and other several kinds of subsidiary data are selected as combustible moisture content estimation data.Meteorological data includes air temperature, relative humidity, rainfall and wind speed.Remote sensing data includes two vegetation indexes: enhanced vegetation index and normalized vegetation index.Subsidiary data includes: root zone soil moisture, vapor pressure difference, drought index, fire weather factor.Then the long time sequence characteristics of meteorological data are extracted.The size of time window is determined first, and the experimental results show that the correlation coefficient of most sites is relatively high under the time window of 90-210 days.90 days, 150 days and 210 days of time window are selected respectively to extract the time characteristics of four kinds of meteorological data.Secondly, the samples of experimental area are divided into five vegetation classifications, which are closed shrub, sparse shrub, multi-tree tropical grassland, tropical savanna and grassland.Finally, the data sets of the five different vegetation types are sequentially adjusted to obtain the respective estimation model.

The application discloses a method for constructing a characteristic map of a traditional Chinese medicine and the characteristic map, wherein the method adopts an HPLC method to determine the content of an effective component, imperatorin, in Zhikang capsules, and constructs a high performance liquid chromatography characteristic map of the Zhikang capsules; 10 characteristic peaks are determined as the characteristic map, which are respectively from dragon's blood, rhubarb and Bai Zhi; the components from the dragon's blood are dracorhodin B (peak 2) and pterostilbene (peak 4); the components from the rhubarb are peak 1 (aloe-emodin), peak 3, peak 6 (emodin), peak 9 and peak 10; and the components from the Bai Zhi are imperatorin (peak 5), peak 7 and peak 8; the method covers polyphenols, anthraquinones and furanocoumarins and other main components, and constructs a quality evaluation system of the Zhikang capsules; the method has good specificity, precision, repeatability and solution stability, and can be used for standardizing the production of the Zhikang capsules and guaranteeing the uniformity and stability of the internal quality of products to provide comprehensive quality control.

The invention relates to a qualitative and quantitative method for liensinine perchlorate. The qualitative method comprises the following steps: weighing 1mg of liensinine perchlorate and 1mg of liensinine, uniformly grinding and tabletting the liensinine perchlorate and the liensinine with 100mg of potassium bromide respectively, acquiring an infrared spectrum of 4000-400cm <-1 > by adopting an infrared spectrometer, and comparing spectrograms to find that the peak shapes of the liensinine perchlorate and the liensinine are similar, the peak shapes of the liensinine perchlorate and the liensinine perchlorate are common characteristic peaks and the peak shapes of the liensinine perchlorate are unique characteristic peaks of the liensinine perchlorate and the liensinine are common characteristic peaks and the peak shapes of the The quantitative method comprises the following steps: weighing a series of liensinine perchlorate reference substances with different masses, uniformly grinding and tabletting the liensinine perchlorate reference substances and 100mg of potassium bromide respectively, collecting an infrared spectrum, carrying out integration on a 625cm <-1 > characteristic peak to obtain a peak area, and drawing a standard curve by taking the peak area as a vertical coordinate and taking the sampling mass of the reference substances as a horizontal coordinate; the method comprises the following steps: weighing a sample to be detected, collecting an infrared spectrum, integrating a 625cm <-1 > characteristic peak to obtain a peak area, substituting the peak area into the standard curve equation, calculating the mass of the liensinine perchlorate in the sample, and substituting the mass into the content calculation formula to obtain the content of the liensinine perchlorate in the sample. The method is good in precision, repeatability and stability, wide in linear range, high in linear correlation coefficient and high in recovery rate, the problem that liensinine interference cannot be avoided in an existing content determination method is effectively solved, whether liensinine perchlorate is generated or not can be qualitatively judged, and the quantity of liensinine perchlorate generated can be quantitatively detected; and a feasible new method is provided for production process optimization and quality evaluation of liensinine perchlorate.

The invention discloses a visual SLAM method and system based on a dynamic environment, the system combines ORB feature points and EDLine feature lines for feature extraction, the robustness of the system to a weak texture environment is improved by using EDLine line features, and the problem of feature sparsification after dynamic elimination is solved; yOLOv12 is introduced to detect a dynamic target and generate a dynamic frame for the dynamic target, and the generated dynamic frame is utilized to remove dynamic features, so that dynamic environment interference is removed; in addition, the system also adopts a multi-thread asynchronous processing architecture to decouple and optimize a complex computing task and a core tracking task, and separate operation is carried out, so that the real-time performance of the system and the utilization rate of computing resources are improved. According to the method, the precision, the robustness and the real-time performance of the visual SLAM system in a complex dynamic environment are remarkably improved, real-time sensing, positioning and mapping tasks in the environment can be completed, and the method can be applied to the fields of automatic driving, navigation positioning, robots and the like.

The present application belongs to the technical field of pesticide residue detection method, and particularly relates to a method for determining the chlorothalonil residue in fruits and vegetables, comprising the following steps: S1, extracting the fruit and vegetable sample by using an alkaline extraction solution to obtain an extraction solution; S2, adding a garlicin solution to the extraction solution; S3, adding a purification filler to the conversion solution, vortexing, centrifuging, filtering to obtain a to-be-tested solution; S4, using an ultra-high performance liquid chromatography-tandem mass spectrometer to detect the concentrations of mercaptochlorothalonil and 4-hydroxychlorothalonil in the to-be-tested solution, and calculating the total residue of chlorothalonil in the sample. The present application breaks through the traditional idea of inhibiting the conversion of chlorothalonil, actively promotes the complete and quantitative conversion of chlorothalonil into a single derivative through "alkaline extraction + exogenous garlicin catalysis", changes the complex and uncontrollable conversion process into a controllable and quantitative chemical reaction, and avoids the problems of low recovery rate and false negative caused by incomplete or unmeasurable conversion in principle.

The application discloses an image enhancement method and application thereof, the image enhancement method enhances the brightness constant processing on the collected image through a constructed camera response model, obtains an enhanced image, converts the enhanced image into a gray matrix image and then carries out denoising processing. The application also provides an edge extraction method based on the image enhancement method, uses a new SED model based on dynamic feature fusion to extract edges, that is, carries out semantic segmentation on the denoised gray image, converts the denoised gray image into a binary image, normalizes the amplitude scale of the multi-layer features of the binary image, carries out dynamic feature fusion, obtains the required edge features, and thus realizes edge extraction. The image enhancement method and the edge extraction method are both upgraded, and the application prospect is wide, and the image enhancement method and the edge extraction method can especially meet the demand of large batch and high precision product size detection, and reduce the artificial pressure.

This application presents a method for providing clear, accurate, and intelligent AI representations of complex, multi-element images. It employs an improved Faster R-CNN model as the image processing model, replaces VGG-16 with DenseNet for feature extraction, optimizes bounding box selection through dimensional clustering, and enhances model stability by predicting relative grid cell coordinates. A text generation architecture is constructed based on a hierarchical recursive network. The first layer, a global long short memory layer, determines the topic vector based on the fusion vector to increase the number of descriptive sentences. The second layer, a sentence BRNN layer, generates accurate and rich descriptive sentences. A fully convolutional localization layer effectively integrates and transfers block features, constructing an end-to-end architecture that collaboratively optimizes image processing and text generation. This method addresses the problems of high model complexity, inaccurate bounding box localization, and insufficient association of descriptive sentences in existing technologies, generating denser, more accurate, and natural descriptive language that conforms to language habits. It is suitable for various application scenarios such as visual intelligent question answering and video subtitle generation.

The present application relates to the technical field of plate hydraulic machine, disclose a kind of plate pressure shaping hydraulic machine, including lower base body, the middle part of the top of lower base body is provided with support base, the top of lower base body four corners is provided with support column, the top of four groups of support column is commonly provided with upper base body, the bottom of upper base body is provided with four groups of plunger main cylinder;The present application is equipped with four groups of lower plunger cylinder and four groups of upper plunger cylinder with built-in displacement sensor, realizes moment leveling system control, and is matched with four sets of displacement sensor data, real-time adjustment high-frequency response proportional servo valve control parameter, and mobilizes dedicated leveling system high-pressure pump group and energy accumulator, complete to lower plunger cylinder and upper plunger cylinder Rapid stable liquid supplement, realize high response closed-loop control, ensure to realize high-precision high-performance leveling task, finally, leveling accuracy is better than 0.08mm / m, reach the most advanced similar product level in the world, it is 1.5 times of the similar product in the current domestic.

The invention relates to the technical field of smart power grids, in particular to a compressed air energy storage and electrochemical energy storage cooperative scheduling method for power grid regulation, which comprises the following steps: acquiring load power of a power grid load side at different moments in each time period under each monitoring period, obtaining the charging and discharging power of each energy storage device in the hybrid energy storage system at each moment in each time period; the random fluctuation degree, the supply and demand deterioration degree and the unsteady state coefficient of each time period are calculated, and the unsteady state coefficient of each time period in the next monitoring period is predicted; extracting all asynchronous time periods; and the asynchronous coefficient of each time period is calculated, the adjustment coefficient of each time period in the next monitoring period is determined, the proportion parameters of the voltage loop and the current loop of the double-closed-loop PI control strategy are respectively adjusted, and cooperative scheduling is carried out on the energy storage equipment in the hybrid energy storage system. According to the invention, the energy storage system can timely respond to the rapid change of the load, and the fluctuation of the power grid frequency and voltage is reduced.

A frequency detector (200) and a method thereof for measuring and tuning the frequency of a controlled oscillator are disclosed. The frequency detector (200) includes: a pulse generator (210) for generating sampling pulses; a sampling circuit system (220) for sampling the output state of the controlled oscillator (180); and a digital processing unit (230). The sampling circuit system (220) is configured to subsample the output state of the controlled oscillator (180) at two or more sampling frequencies, all of which are lower than the frequency of the controlled oscillator. The digital processing unit (230) is configured to calculate the frequency offset of the oscillator based on the sampled states, and to generate a control signal based on the frequency offset to tune the frequency of the oscillator.

The application provides a reservoir property detection method and device, electronic equipment and storage medium, and belongs to the technical field of oil exploration and development. The method comprises the following steps: acquiring real-time P-wave azimuth AVO gather data of a well area; inputting the P-wave azimuth AVO gather data into an AVO inversion model which has been constructed, and obtaining reservoir property parameters of the target well area by inversion, wherein the reservoir property parameters comprise S-wave velocity reflectivity, P-wave velocity reflectivity and density reflectivity, and a restriction condition and a weight coefficient are added to an inversion objective function of the AVO inversion model. The application starts from the most basic mathematical level, adds a restriction condition and designs a weight coefficient to the original objective function of least squares, improves the coefficient matrix, so that the sensitivity of the solution of the inversion objective function to errors is reduced, the influence of data errors on the result is determined, noise interference is coped with, and the sensitivity of the solution of the inversion objective function to errors and noise is greatly reduced.