103results about How to "Accuracy meets" patented technology

The invention discloses a control circuit of an electronic load, the electronic load and a power supply test system. The circuit comprises an MCU; the signal output end of the MCU is connected with the input end of the DAC module; the closed-loop control circuit comprises a first error amplifier, a mutual inductor, an MOS (Metal Oxide Semiconductor) tube, a current sampling resistor and a power supply end VBUS; a mutual inductor is arranged between a first error amplifier and an MOS tube of the closed-loop control circuit, a power supply end VBUS is connected with a drain electrode of the MOS tube through a primary side of the mutual inductor, a first secondary side of the mutual inductor feeds back an input signal of the first error amplifier, and a second secondary side of the mutual inductor feeds back a driving signal of the first error amplifier to the MOS tube. According to the invention, the dynamic response speed when the electronic load pulls the high-frequency current can be improved, and the test requirements of high precision and high dynamic response are met.

The embodiment of the invention provides a method and device for determining the numerical value of solar irradiance in a preset time period, and relates to the technical field of solar energy. The method comprises the following steps: acquiring satellite cloud picture extrapolation data information and radar extrapolation data information, and performing data fusion processing on the satellite cloud picture extrapolation data information and the radar extrapolation data information to obtain fused feature data information; inputting the fused feature data information into a weather typing model, and processing the fused feature data information based on the weather typing model to obtain cloud picture feature data information; and inputting the cloud picture feature data information into a solar irradiance model, and performing prediction according to the cloud picture feature data information based on the solar irradiance model to obtain a numerical value of the solar irradiance in a preset time period. By adopting the technical scheme, the numerical value of the solar irradiance in the preset time period can be accurately predicted, so that the precision and timeliness of the numerical value of the solar irradiance can be met.

The invention discloses a hemispherical resonator gyroscope initial alignment and navigation method based on dual-mode switching, and belongs to the field of hemispherical resonator gyroscope control. According to the invention, the problem that the single working mode of the hemispherical resonator gyroscope is difficult to meet different requirements in the initial alignment and navigation process is solved. According to the method disclosed by the invention, the precision of the hemispherical resonator gyroscope in an initial alignment stage can be improved compared with a single full-angle mode, and meanwhile, the range of the hemispherical resonator gyroscope in a navigation stage can be improved compared with a single force balance mode. The advantages of the two modes can be combined, different requirements for the precision and the measuring range of the hemispherical resonator gyroscope in different stages can be met by switching the two control modes, and the problem that the single working mode of the hemispherical resonator gyroscope is difficult to meet different requirements in the initial alignment and navigation process is solved. The method can be applied to mode switching of the hemispherical resonator gyroscope.

The invention relates to the technical field of robot control, in particular to a robot rescue emergency control system based on voice interaction. The system is used for performing control voice signal acquisition and rescue emergency voice control task structured analysis by using a built-in voice receiving function of a robot, and generating rescue emergency voice control task structured data; acquiring panoramic image data, environment sensing data and long-distance laser radar data monitored by the robot; the method comprises the following steps: performing global image point cloud model construction and multi-level environment change collaborative optimization processing based on panoramic image data, environment perception data and long-distance laser radar data monitored by a robot, and generating an optimized global image perception model; and performing rescue emergency intelligent control operation on the robot based on the rescue emergency voice control task structured data and the optimized global image perception model. According to the invention, the voice instruction is received through the voice interaction function, so that automatic and efficient robot rescue emergency control is realized.

The invention belongs to the technical field of model prediction, and particularly relates to a flue-cured tobacco moisture and pigment content prediction method and system based on a chain type integrated model.The method comprises the steps that near infrared spectrum original data of tobacco leaves in different baking stages are collected to serve as spectrum data, and preprocessing is conducted through multiple preprocessing methods; dividing a training set and a test set by applying a stratified sampling mode; combining data obtained by different preprocessing methods with different regression methods, respectively constructing full-band prediction models, and screening the preprocessing methods; combining the screened preprocessing method with different characteristic wave band screening methods, respectively constructing a characteristic wave band prediction model, and determining an optimal sub-model for moisture and pigment content prediction; and combining a plurality of same optimal sub-models according to a cascading mode to construct a chain type integrated model, continuously carrying out iterative optimization, and outputting a final prediction result. According to the method, the moisture content and the pigment content in the tobacco leaf curing process can be subjected to multi-index prediction at the same time.

The invention discloses a two-stage space-time diagram network and multi-source information fusion time sequence probability prediction method and device, and relates to the technical field of artificial intelligence and big data analysis. The method comprises the following steps: acquiring historical wind speed sequence data and corresponding target variable sequence data; preprocessing the data, and constructing a training sample according to a preset time sliding window; constructing a time sequence probability prediction framework of the two-stage space-time diagram network and multi-source information fusion; based on the fluctuation correlation of the historical sequence data, constructing an adjacent matrix between nodes; inputting the training sample and the adjacent matrix between the nodes into a wind speed prediction model, training the model through a designed threshold perception loss function of a wind speed-power nonlinear relationship, and outputting a multi-node wind speed prediction probability of a first stage; and inputting the multi-node wind speed prediction probability and the multi-source environmental factor data into the gradient boosting tree model for second-stage prediction, and outputting a multi-node wind power prediction result. According to the invention, prediction errors can be reduced.

The invention discloses a lightweight underwater target detection method, and relates to the technical field of underwater target detection, and the method comprises the steps: taking YOLOv8 as a reference model, carrying out the feature multiplexing of a network backbone of the YOLOv8 through employing a lightweight RepGhost heavy parameter module, and replacing a convolution layer of the network backbone through employing an SPD convolution module; replacing the network neck of the YOLOv8 with a global feature pyramid GFPN, and carrying out feature fusion; a CLLA detection head is adopted to replace a network head of the YOLOv8, target identification and positioning are improved, and a lightweight underwater target detection model is obtained; and performing performance evaluation on the lightweight underwater target detection model, and applying the lightweight underwater target detection model to an actual scene to realize underwater target detection. According to the method, the problems that accurate detection is difficult to carry out in a complex underwater environment and limited computing resources and light weight of the model is not considered in a traditional method are solved.

The present invention is applicable to the technical field of remote sensing image recognition, and provides a remote sensing image recognition method and system based on deep learning. The present invention screens multiple valid sample images; standardizes and stages the images; creates multiple stage generators and multiple stage discriminators, performs dynamic adversarial training, generates multiple extended sample images; performs training and optimization, generates a target recognition model; and performs image recognition. It is capable of effectively screening, standardizing and stage-by-stage processing of multiple remote sensing sample images, creating multiple stage generators and multiple stage discriminators, performing dynamic adversarial training, generating multiple extended sample images, and then training and optimizing the deep learning model to generate the target recognition model, thereby achieving effective expansion of samples, so that the deep learning model has a large number of samples for training and optimization, effectively improving the remote sensing image recognition performance of the target recognition model, and being able to meet the high requirements of accuracy and reliability in application scenarios.

The invention relates to the technical field of nickel coil mechanical property detection, in particular to a nickel coil strip mechanical property evaluation method and system based on annealing and pickling, and the method comprises the steps: obtaining a nickel coil strip, obtaining an annealing temperature interval, obtaining a pickling time interval, carrying out the interval division of the annealing temperature interval and the pickling time interval, and obtaining an annealing temperature set and a pickling time set; the annealing temperature value is matched with each pickling time in the pickling time set to obtain an annealing and pickling matching set, annealing operation is performed on the nickel coil strip to obtain an annealed nickel coil strip, pickling operation is performed on the annealed nickel coil strip to obtain a pickled nickel coil strip, the initial mechanical property value is larger than or equal to a preset mechanical property threshold value, and the initial mechanical property value is larger than or equal to a preset mechanical property threshold value. The optimal comprehensive mechanical property value is extracted from the comprehensive mechanical property value set, and nickel coil strip mechanical property evaluation based on annealing and pickling is completed based on the optimal comprehensive mechanical property value. According to the invention, annealing and pickling process parameters can be optimized.

The invention relates to the technical field of video monitoring, in particular to a multi-azimuth identification video monitoring system, which comprises a data acquisition module, a data analysis module and a result analysis module, and is characterized in that a picture of a monitoring area is acquired through the data acquisition module, then a target detection model in the data analysis module is used for detecting the picture, and a result is obtained through the result analysis module; determining a detection frame of a target position and a detection result thereof, wherein the detection result comprises a position, a size, a category and confidence; the result analysis module ranks all the detection frames from high to low according to confidence coefficients, selects the detection frame with the highest confidence coefficient as the current optimal detection frame, and calculates a dynamic overlap suppression threshold value according to the position, size and category of the current optimal detection frame; and then, calculating the intersection-to-union ratio of the other detection frames and the current optimal detection frame, gradually adjusting the confidence coefficients of the other detection frames according to the overlap suppression threshold value and the intersection-to-union ratio, and repeating the steps after reordering until all the detection frames are processed.

The utility model relates to the technical field of self-adhesive label printing equipment, in particular to a constant-tension unwinding device of a self-adhesive label printing machine. According to the technical scheme, the device comprises a bottom plate and a supporting frame installed on the bottom plate, and further comprises a roller shaft arranged on the supporting frame, and the roller shaft is provided with an expansion and contraction mechanism used for rapidly adjusting the thickness of the roller shaft. According to the utility model, the supporting frame, the roller shaft, the expansion and contraction mechanism, the clamping block mechanism and other structures are matched, and the thickness of the roller is adjusted, so that a reel material keeps proper tension in the printing process, and the quality and the precision of label printing are ensured. Different tension forces may be needed during printing of the winding drums made of different materials, and the printing requirements of various materials can be met by adjusting the thickness of the rolling wheels. In addition, the friction resistance of the winding drum material can be reduced by properly adjusting the thickness of the roller, so that the winding drum runs on the printing machine more smoothly. Therefore, printing speed and efficiency can be improved, and production cost is reduced.

The invention relates to the technical field of Porro prism processing, and provides a Porro prism processing method, which comprises the following steps of: carrying out disc grinding and polishing on a first side surface and a second side surface of a blank, so that the surface shapes of the first side surface and the second side surface reach a first surface shape reference and are parallel; cylindrical angles among the first side surface, the second side surface and the bottom surface of the lower plate are chamfered; processing the bottom surface and the top surface; optical cement is conducted on the bottom face on a first tool, optical cement is conducted on the first side wall of the first tool to an optical cement disc, a cylindrical surface angle between the first side face and the top face is milled and ground, and a first ridge face is formed; optical cement is conducted on the second side wall of the first tool to the optical cement disc, the cylindrical surface angle between the second side face and the top face is milled and ground, and a second roof ridge face is formed; the roof ridge is chamfered; and finishing and polishing the first ridge surface and the second ridge surface. According to the method, the ridge edge can be chamfered while the ridge surface is machined, and the product precision is improved while the product design requirement is met.

The invention relates to the technical field of hydraulic pressure, in particular to a plunger pump flow output unit, a plunger pump system and a plunger pump flow regulation and control method. The plunger pump flow output unit comprises a first cavity and a second cavity, the first cavity and the second cavity are connected between the low-pressure loop and the high-pressure loop respectively, a connecting channel is communicated between the first cavity and the second cavity, and a digital proportional valve used for adjusting the flow channel sectional area of the connecting channel is arranged on the connecting channel. The reciprocating motion mechanism comprises a driver and a plunger connecting rod, a first plunger and a second plunger are arranged at the two ends of the plunger connecting rod respectively, and the first plunger and the second plunger are arranged in the first cavity and the second cavity respectively in a sliding fit mode. According to the scheme, the defects that in the prior art, a direct-drive digital plunger pump is limited in variable range, and zero-flow output cannot be achieved are overcome, and the requirement for accurate liquid using of a fully-mechanized coal mining face hydraulic support according to needs is met.

The utility model discloses a feeding device for a seamless steel pipe production line, and particularly relates to the field of feeding devices, the feeding device comprises a belt conveyor, a mounting plate and a blanking plate, the belt conveyor is used for conveying seamless steel pipes, the mounting plate is located at the lateral lower position of the tail end of the belt conveyor, and the blanking plate is located at one side of the mounting plate; a belt of the belt conveyor is fixedly connected with a plurality of inner angle brackets in pairs, and the two ends of the mounting plate are fixedly connected with side plates; a hydraulic device is fixedly connected to the mounting plate, a lifting plate is fixedly connected to the output end of the hydraulic device, a spring shock absorber is fixedly connected to the lifting plate, and a shock absorption plate is fixedly connected to the shock absorption end of the spring shock absorber. The seamless steel pipe feeding device solves the technical problems that the existing feeding device cannot directly feed seamless steel pipes to a machining station of seamless steel pipe machining equipment, so that the conveying limitation of the feeding device exists, and the machining efficiency of the seamless steel pipes is influenced.

The utility model provides an operation smoke collecting device under a simulated operation microenvironment, which comprises a box body, a lifting support arranged on the box body, a group of rotor flow meters arranged on the lifting support, a group of detection pipeline components arranged on the box body in a penetrating manner, one end of each detection pipeline component is communicated with the corresponding rotor flow meter, and the other end of each detection pipeline component is positioned in the box body. And the box body is also provided with an air inlet hole and an electrotome wire inlet hole. The smoke collection micro experimental environment under the simulated surgical operation is provided, the functions are convenient and fast to use, the production efficiency is improved, the environmental pollution is reduced, and the experimental safety is improved. The particulate matter monitoring module and the compound collecting module provided by the device can effectively meet the detection requirement of the operation smoke in the microenvironment.

The invention discloses a monitoring system and method for the three-dimensional position, attitude change and cable breakage risk of a ship, which belongs to the technical field of port safety management and ship mooring monitoring. The system and method are mainly used for monitoring the three-dimensional position and attitude change of a large ship during mooring in a port, and early warning of the risk of cable breakage. When the ship is moored at a berth, the longitudinal subsystem measures and obtains basic data Y, and activates the transverse subsystem and the vertical subsystem to start monitoring; S2: after the transverse subsystem and the vertical subsystem respectively measure and obtain basic data X and basic data Z, the current state of the ship is judged by analyzing the basic data X, basic data Y and / or basic data Z; S3: when the state of the ship is abnormal, an alarm is issued to a monitoring personnel; so as to achieve the purpose of being able to fully automatically and continuously monitor the three-dimensional position and attitude of the ship, and solve the problem that the port has a single monitoring method for large ships in the port, insufficient accuracy and poor real-time performance.

The invention discloses a mathematical model-based chemical process simulation data management system and method, and relates to the technical field of data management. The system comprises a data feature system construction module, a dynamic mapping rule generation module, a cross-scale collaborative data processing module and a matching relation adaptive optimization module. The method comprises the following steps: constructing a multi-scale data quantization feature system and generating feature vectors; establishing a dynamic mapping mechanism and an association matching rule set, wherein the association matching rule set comprises a cross-scale collaborative weight and a working condition dynamic threshold factor; checking data in multiple dimensions, complementing missing attributes and pushing the data as required; the feature vectors and mapping rules may be iteratively optimized through deviation analysis. The problem of data and model hidden mismatching is solved, working condition fluctuation is adapted, cross-scale simulation accuracy and robustness are improved, and safe and efficient circulation of data is achieved.

The invention discloses a chip image registration method, device and equipment, and relates to the technical field of image processing, and the chip image registration method comprises the steps: obtaining a preset overlapping ratio, and calculating and obtaining a preset overlapping region of adjacent chip images according to the preset overlapping ratio; according to the matching similarity in the preset overlapping area, obtaining the actual overlapping rate of the chip image; and according to the actual overlapping ratio, registering the adjacent chip images to obtain a target chip image. Through the above mode, according to the preset overlapping rate, the actual overlapping rate is obtained in the preset overlapping region according to the similarity, so that registration is completed according to the actual overlapping rate in the subsequent matching process, the size of the overlapping region in the registration process is accurate, and the phenomenon that the registration accuracy is poor in the subsequent registration process is avoided. And due to the fact that the calculation amount is increased due to the too large area and information loss is caused due to the too small area, the registration efficiency is improved, and the registration precision requirement is met.

The application relates to the technical field of intelligent sensors, and discloses a method and system for detecting appearance defects of a covered soil type liquefied hydrocarbon storage tank. The method comprises the following steps: acquiring ground surface temperature distribution data above a soil layer, generating an initial temperature sequence and separating a medium-high frequency disturbance component, determining a soil heat capacity delay effect parameter and correcting the temperature sequence; a super-temperature difference threshold value is used to strip the soil thermal physical influence to obtain a pure thermal anomaly signal; a thermal distribution law is restored and mapped to a three-dimensional coordinate system of the storage tank to determine a preliminary defect boundary; a gradient is calculated to accurately locate a corrosion layer damage position, heat insulation attribute data and a fire risk assessment model are fused to generate an early warning report containing a defect position, a risk level and a processing suggestion. The method can realize accurate and efficient detection of appearance defects of the storage tank and meet the high-precision and continuity requirements of safety monitoring.

The utility model discloses a regular porous sheet tensile test sample preparation blanking die which comprises a die handle, an upper die plate, a male die fixing plate, a male die, a discharging plate, a lower die base and a material pushing and positioning device, the upper end of the male die is clamped in a clamping groove, and the lower end of the male die is arranged in a second installation through hole and a second installation through hole in a sliding mode. When the press machine drives the male die fixing plate and the male die to move downwards together, the lower end of the male die penetrates through the first installation through hole and then is located in the second installation through hole, and the regular porous thin plate is punched. The material pushing and positioning device comprises a first positioning pin, a second positioning pin, a middle positioning plate, a first guide rail and a second guide rail, the first positioning pin is installed in the first guide rail in a sliding mode, and the second positioning pin is installed in the second guide rail in a sliding mode. The regular porous thin plate tensile experiment sample preparation blanking die provided by the utility model meets the requirements of large-batch mechanical tensile experiment sample preparation of regular porous thin plates, the sample preparation efficiency and precision are high, and the accuracy of the experiment is ensured.

The present invention relates to a punching and feeding machine, wherein a first material trough and a punching knife are arranged on a punching device of the punching and feeding machine, and the punching knife is used for punching a material strip in the first material trough; a second material trough, a material strip correction device and a material feeder are arranged on a material feeding device, and the material feeder is used for driving the material strip in the second material trough to move, and the feeding end of the second material trough is arranged opposite to the discharging end of the first material trough, and the material strip correction device is used for correcting the position of the material strip relative to the punching knife.

The utility model discloses a supporting and fixing seat investment casting structure. The supporting and fixing seat investment casting structure comprises a tree assembling die head and a plurality of supporting and fixing seat investment casting parts communicated with the tree assembling die head, the tree assembling die head comprises a cup pouring gate, an I-shaped pouring gate, a plurality of wax discharging channels, a plurality of wedge-shaped inner pouring gates with slopes and two communicating pouring gates arranged on the I-shaped pouring gate. The cup pouring gate is communicated with the top of the I-shaped pouring gate; one end of each wax discharging channel is communicated with the cup pouring gate, and the other end of each wax discharging channel is communicated with a supporting and fixing seat investment casting part; one end of each wedge-shaped flow gate is communicated with the I-shaped pouring gate, and the other end of each wedge-shaped flow gate is communicated with the supporting and fixing seat investment casting part. Molten steel flow injection is stable, and air holes and slag holes are not prone to being generated in a casting. Dewaxing is thorough, and cost and environmental protection are facilitated; and castings are high in yield and stable and reliable in quality.

This invention provides a method for analyzing the operating state of a motor simulator, relating to the field of motor simulation technology. The method includes: obtaining the corresponding quadrature-axis current and direct-axis current through simulation based on the acquired rated parameters, operating state parameters, and preset motor parameters of the motor simulator; constructing a corresponding geometric boundary model based on the direct-axis current and quadrature-axis current using preset constraints; and obtaining the operating state of the motor simulator based on the positional relationship between the geometric boundary model and the operating point, wherein the operating point is determined by the direct-axis current and quadrature-axis current. This invention can improve the accuracy of motor simulator testing.

The application discloses a kind of point cloud data processing method and device, it is related to computer vision technical field, the method includes: according to the original three-dimensional point cloud data of target object, the three-dimensional point cloud data corresponding to the guiding part of target object is determined;According to the three-dimensional point cloud data corresponding to guiding part, the space orientation of original three-dimensional point cloud data is corrected, and first three-dimensional point cloud data is obtained;The three-dimensional point cloud data corresponding to guiding part in first three-dimensional point cloud data is eliminated, and second three-dimensional point cloud data is obtained;From second three-dimensional point cloud data, extract the middle axis skeleton point cloud data;Based on middle axis skeleton point cloud data, determine point cloud rotation parameter;Based on point cloud rotation parameter, first three-dimensional point cloud data is rotated, and normalized three-dimensional point cloud data is obtained.The application can improve the precision of point cloud data normalization, to meet the demand of high-precision modeling or automated measurement.

The invention discloses a high-precision earth surface Xinjiang transient identification method in a global large-scale scene. The method comprises the following steps: step 1, extracting a sea surface geometric space from an authoritative data source; step 2, constructing a ray grid and identifying a sea-land area; wherein in the ray grid construction process, firstly, the initial longitude of each ray is determined, and then according to the resolution requirement, each ray extends at different levels and different latitudes to gradually divide the ray grid of the whole map area; in the sea-land area identification stage, intersection points of rays and land boundaries are detected through intersection operation of the rays and sea surface geometric space, so that the rays are divided into a plurality of ray segments, and then each ray segment is marked as land or ocean based on the entry and exit attributes of the sea surface; and 3, when a target point needs to be identified, calculating the exact position of the target point in the ray grid, and directly judging the sea-land category of the target point. According to the invention, efficient and accurate determination of sea and land attributes of any position in the world is realized.

The invention provides a non-equal-wall-thickness lightweight carbon fiber honeycomb core and a preparation method thereof. The carbon fiber honeycomb core is a non-equal-wall-thickness carbon fiber honeycomb core. The carbon fiber honeycomb core is formed by assembling a plurality of discretized same polygonal cell units in an array; the boundary dimension of the carbon fiber honeycomb core can be infinitely expanded by adopting the polygonal cell units; the structure of each polygonal cell unit is a hollow structure penetrating through the upper and lower ends. According to the carbon fiber honeycomb core assembled by the discrete array, the carbon fiber honeycomb core with any structural size can be obtained as required, the breadth of the carbon fiber honeycomb core can be expanded infinitely, and the size requirement of a large-aperture satellite antenna reflector is met.

The invention discloses a table look-up type deformation matching and electromagnetic mapping digital twinning system and a table look-up type deformation matching and electromagnetic mapping digital twinning method. The system pre-constructs a multi-physical field simulation database with speed as a main key, stores a deformation three-dimensional model, pressure field data, radar cross section (RCS) data and feature point displacement, and establishes a reduced scale model deformation-speed association list. In the manual mode, the speed is directly input to call corresponding multi-physical field data; in an automatic mode, the displacement of the feature points of the reduced scale entity model is detected in real time through a displacement detection module, the current deformation quantity is calculated, a speed major key is reversely matched by adopting a minimum absolute difference method based on the association list, and then corresponding multi-physical field data is called; and synchronously displaying the deformation three-dimensional model, the pressure field pseudo-color distribution and the RCS map on a visual rendering platform, and realizing digital mapping from entity deformation to a multi-physical field state.

The present application relates to a kind of based on multi-modal fusion's weld magnetic detection system and method, system includes: multi-modal sensor component, for obtaining the two-dimensional image data and three-dimensional point cloud data of weld;Industrial control module, for according to two-dimensional image data and three-dimensional point cloud data, using instance segmentation model and three-dimensional point cloud feature extraction network to identify weld area, and extract weld three-dimensional structure information, according to weld three-dimensional structure information to generate detection path, based on detection path to carry out weld defect analysis and positioning;Mechanical arm actuating mechanism, for connecting detection probe, drive detection probe to move according to detection path, and detection probe real-time acquisition weld detection signal and transmission to industrial control module.The present application realizes the full process automation of weld identification, three-dimensional modeling, detection path generation and defect identification, compared with prior art has significant technical advantage and practical application value.

The invention provides a reactive compensation voltage regulation device and system for a small low-voltage power grid, and belongs to the technical field of reactive compensation of power systems. The device comprises a microprocessor, a voltage sampling module and a plurality of capacitor branches connected in parallel; one path of the fuse of each capacitor branch is connected to the live wire of the confluence busbar, the other path of the fuse is connected to the input end of the voltage sampling module, one path of the capacitor of each capacitor branch is connected to the zero wire of the confluence busbar, and the other path of the capacitor is connected to the input end of the voltage sampling module; the microprocessor determines a phase voltage and a load reactive power according to the obtained incoming current and compensation current of the reactive compensation voltage regulation device and the total afflux voltage of each capacitor branch; and controlling a relay of the capacitor branch to execute switching according to the phase voltage and the load reactive power. Based on the device, the invention also provides a reactive compensation voltage regulation system. According to the invention, the requirements of reactive compensation precision and response speed in a low-voltage small power grid environment are met.