107results about How to "Correction error" patented technology

The invention provides a marine pollution tracing and monitoring method based on satellite remote sensing and an unmanned aerial vehicle, and relates to the technical field of marine pollution tracing and monitoring, and the method comprises the steps: configuring a pollution diffusion path prediction model and a data driving model based on range pollution data, precise pollution data and deepwater data after multi-modal data fusion, and obtaining a pollution prediction result and pollution error data, carrying out hybrid drive fusion based on the pollution prediction result and the pollution error data, and tracking an initial source of pollutants to obtain pollution source tracing data. Through preprocessing and fusion of multi-modal data, in combination with range pollution data, precise pollution data and deep water data, a pollution diffusion path prediction model and a data driving model are dynamically adjusted, so that a more precise pollution prediction result and pollution error data are generated, and meanwhile, through reverse diffusion simulation and pollution traceability analysis, a more precise pollution prediction result is obtained. The high efficiency of pollution source positioning and decision support is improved, and an accurate and decision basis is provided for coping with marine pollution events.

The invention provides a servo hydraulic system optimization control method and system for a press machine test platform, and relates to the technical field of press machines, and the method comprises the steps: building a state space expression and building a mathematical model of a servo hydraulic system based on dynamic characteristics by deducing mathematical expressions of all components of the system; building a predictive control algorithm based on the mathematical model, solving a quadratic programming problem by adopting a rolling optimization strategy through building a state space predictive model and determining a multi-objective optimization function to obtain an optimal control sequence, and taking a first element of the optimal control sequence as control input at the current moment; feedforward compensation and pressure feedback compensation are introduced, the feedforward compensation constructs a compensation model based on an inverse system of a press transfer function and pre-corrects a control signal, and the pressure feedback compensation designs a digital filter based on a pressure error, fuses a feedforward compensation signal with a pressure feedback compensation signal and superposes the fused signal with the control signal; and obtaining a final control signal.

The invention discloses a lung puncture navigation system for pneumology department, which relates to the technical field of lung puncture navigation and comprises a data collection module, a data processing module, a calculation module and a navigation module. The method has the advantages that the focus position can be accurately positioned in real time by collecting the lung image data and the respiratory movement data of the patient and utilizing calculation of respiratory compensation, the need of adjusting the position of a puncture needle for multiple times is avoided, the optimal puncture path can be calculated, and the puncture accuracy is improved. Therefore, intelligent biopsy puncture path planning can be carried out according to specific conditions of the patient, biopsy risks are reduced, focus position changes caused by respiratory movement can be accurately compensated through real-time respiratory compensation application, and it is ensured that navigation precision and biopsy effects are not affected by the respiratory movement.

The invention discloses a GIS internal humidity detection method and system based on a microsensor, and relates to GIS internal humidity detection.The GIS internal humidity detection method comprises the steps that the microsensor is adopted to record GIS internal environment data and initial calibration parameters, data preprocessing is conducted on the GIS internal environment data, and the GIS internal environment data comprises GIS real-time environment data and GIS historical environment data; constructing a dynamic environment compensation model according to the GIS internal environment data, and inputting the GIS real-time environment data into the dynamic environment compensation model to obtain dynamic environment compensation parameters; and training the initial calibration parameter to obtain an adjusted calibration parameter, feeding back the adjusted calibration parameter to the microsensor, updating the working state of the sensor, and performing detection again to obtain the internal humidity of the GIS. According to the invention, the accuracy and reliability of the humidity detection result are ensured, and the operation efficiency and safety of the GIS equipment are improved.

The invention relates to the field of microbial culture management, in particular to a microbial culture management system and method. The method comprises the following steps: calculating growth factors based on the number of microorganisms in a microorganism growth process and microorganism culture environment parameters which are collected in real time, and calculating a predicted value of the number of microorganisms at a future moment; detecting the growth state of the microorganisms based on the predicted value of the number of the microorganisms in the future; the initial adjustment amount of the microbial culture environment parameters is obtained through a multi-parameter nonlinear optimization algorithm, the final adjustment amount of the microbial culture environment parameters is obtained by introducing a synergistic effect mechanism, and the microbial culture environment parameters are adjusted. The problems that traditional microbial culture environment parameters depend on manual monitoring and experience adjustment, so that response is lagged, and adjustment is not accurate enough are solved; the future growth trend of microorganisms is difficult to accurately predict, so that the culture management reaction is delayed; the problems that the microorganism culture environment is imbalanced and optimal management cannot be realized due to the fact that microorganism culture environment parameters cannot be automatically optimized are solved.

The invention provides a power transmission line risk early warning method, device and equipment based on intelligent grid correction. The method comprises the steps of obtaining multi-mode historical meteorological prediction data and historical meteorological observation data corresponding to a target area; based on the historical meteorological observation data, performing space-time interpolation and multi-mode fusion on the historical meteorological prediction data to obtain a plurality of meteorological element prediction values after fusion of each grid in the target area; and training a machine learning model by using the meteorological element prediction values before and after fusion and historical meteorological observation data to obtain a meteorological element correction model set, the meteorological element correction model set being used for correcting the multi-mode meteorological prediction data of the target area in severe convective weather. The meteorological element target correction value is used for carrying out power transmission line risk early warning for the target area. According to the invention, the precision and accuracy of the power transmission line risk early warning result can be significantly improved.

The invention discloses a supplier quality evaluation method, and relates to the technical field of data quality analysis, and the method comprises the steps: obtaining a data initial quality evaluation label of each supplier; counting an uploaded information quality processing comprehensive data quality evaluation value of each type of suppliers; determining an initial quality detection constraint period of each type of suppliers and performing quality tracking detection; obtaining quality tracking detection data, and analyzing and processing to obtain a quality tracking monitoring result; according to the method, the data quality of the data uploaded by the suppliers is analyzed, the availability of the quality evaluation data is ensured, the suppliers whose initial quality evaluation is unqualified are screened, and the quality of the suppliers is evaluated to be qualified. Quality evaluation resources are concentrated on suppliers whose initial quality evaluation is qualified, customized quality tracking detection is carried out on each type of suppliers, the quality tracking detection efficiency and result are improved, and the quality detection constraint period is dynamically adjusted in time.

The invention relates to a motion capture optimization method of a tactical AR helmet. Based on a motion model and dynamic changes of muscle activities and biological signals; collecting data in real time through a sensor, and establishing a time-dependent model of motion data by using a time sequence analysis method; in combination with an LSTM (Long Short Term Memory) model in deep learning, capturing head motion and time dynamic change of motion, and predicting and correcting an error in motion capture; intelligent processing is carried out based on continuous time sequence data, and short-term errors of capturing data drift are avoided; designing a multi-level sensor correction algorithm, and performing time alignment and error correction on IMU data and visual data; drift phenomena including position errors and rotation errors in motion capture are eliminated; optimizing the helmet capture system using a ground sensor including a gait monitoring device and external vision calibration data; a target-oriented motion trail optimization algorithm is designed by combining a motion target and a tactical task of a user, and a capture strategy is dynamically adjusted according to the change of the task.

The invention relates to the technical field of gas concentration calculation, in particular to an anti-interference broadband cavity enhanced absorption spectrum inversion algorithm. On the basis of a traditional cavity enhanced absorption spectrum algorithm, a pseudo-absorption function is constructed and used for representing a non-gas absorption structure caused by lamp spectrum deformation in the gas concentration inversion process, so that interference caused by lamp spectrum deformation is separated from the gas absorption structure, and the gas concentration inversion accuracy is improved. The influence of lamp spectrum deformation on a gas concentration inversion result is effectively avoided, the dependence of a traditional cavity enhancement algorithm on the absolute stability of a light source is overcome, and the gas concentration can be accurately quantified. According to the method, the robustness and environmental adaptability of the broadband cavity enhanced absorption spectrum system can be effectively improved.

The invention relates to the technical field of data processing, in particular to a calibration system and calibration method for inertial measurement units, and the system comprises a setting module which firstly determines a plurality of key point locations of a test aircraft and arranges a plurality of inertial measurement units according to the key point locations. The data acquisition module acquires the real-time acceleration of the inertial measurement unit according to a preset frequency. The comparison module compares the real-time acceleration of each unit, determines a first acceleration range according to the result, further determines a first calibration parameter, or adjusts the frequency, and sends out a secondary judgment instruction. And after receiving the instruction, the route judgment module draws a real-time route map according to the real-time acceleration, compares the real-time route map with a preset route map to determine a second calibration parameter, and adjusts the first acceleration range or sends out three judgment instructions if necessary. And after receiving the instruction, the temperature judgment module collects a real-time temperature value, draws a curve and analyzes the curve, and determines a third calibration parameter. And the calibration module comprehensively applies the parameters to calibrate the inertial measurement unit. The measurement accuracy of the inertial measurement unit is improved.

The invention relates to the technical field of three-dimensional visualization park management, and particularly discloses a three-dimensional visualization-based smart park management platform, which comprises a self-adaptive sensor calibration module for dynamically calculating a sensor data accuracy coefficient to ensure the precision of data acquisition; the multi-dimensional data fusion and three-dimensional modeling module is used for calculating an adaptation coefficient to evaluate the response capability of the system to environmental change by integrating multi-source data; the intelligent image data registration module optimizes a matching precision coefficient and improves the space docking precision of the image data and the three-dimensional model; the real-time error monitoring and feedback optimization module uses a machine learning algorithm to correct an error between the sensor and the three-dimensional model, dynamically calculates an error correction coefficient, and ensures data consistency; and the comprehensive performance evaluation module calculates a sensor data accuracy coefficient, an adaptation coefficient, a matching precision coefficient and an error correction coefficient through normalization to obtain a comprehensive performance coefficient, and optimizes a system operation strategy in real time.

The invention discloses a new energy power prediction correction method and system based on a mixed channel cloud model, and the method comprises the steps: obtaining historical key data, including a predicted power value and an actual power value, of new energy power prediction from different data channels, and obtaining the predicted power value and the actual power value after normalization processing through normalization processing; constructing a cloud function by using a triangular membership function based on the predicted power value and the actual power value after normalization processing; and constructing a mixed channel cloud model, generating a correction weight for the power prediction value of each time point in the target time period by a cloud function, performing automatic dynamic component optimization on the power prediction value of each time point, correcting the power prediction value of the corresponding time point, and obtaining a final new energy prediction power value. According to the method, the power prediction value can be dynamically adjusted and optimized to correct the error in prediction, and the precision, reliability and stability of the prediction result of new energy such as wind energy and solar energy can be remarkably improved.

The utility model provides a PCR (Polymerase Chain Reaction) sealed detection box which comprises a PCR micro-fluidic chip main body and a chip supporting plate, the PCR micro-fluidic chip main body comprises a substrate and a cover plate which are attached to each other, at least one reaction chamber is formed on the substrate, and sample injection holes are respectively formed on the cover plate corresponding to the end parts of the reaction chambers; a plurality of chip bulges and an elastic limiting card are arranged on the second surface of the chip supporting plate, the chip bulges are used for limiting and fixing the PCR micro-fluidic chip main body, and the elastic limiting card is arranged on one side, different from the chip bulges, of the PCR micro-fluidic chip main body and is provided with an elastic structure in the horizontal or vertical direction; the fixing device is used for detachably loading, pressing and fixing a PCR micro-fluidic chip main body. According to the PCR sealed detection box provided by the utility model, sample adding and sealing of the PCR micro-fluidic chip are simplified and automatic, and the PCR sealed detection box is more suitable for being integrated into automatic PCR detection equipment.

The invention belongs to the technical field of reservoir dispatching, and particularly relates to a hydropower station outbound flow correction method which comprises the steps of collecting and processing hydropower station basic data, and constructing a cascade reservoir hydropower station model; constructing a water balance condition; the flow correction parameters are calibrated through an optimization algorithm; and correcting the NHQ characteristic curve based on the calibrated correction parameter, and verifying a flow correction result. The method can solve the problem that the calculation error of the ex-warehouse flow of the capacity-increasing transformation power station is large.

The invention discloses a voice coil servo valve element position control method and system based on ADRC. The invention relates to the technical field of liquid control systems. And inputting an input data sequence S serving as an electric signal of the target position of the valve core into the bidirectional Bi-GRU network of the coding layer. In each gating circulation unit, a tracking differentiator TD, an extended state observer ESO and a nonlinear state error feedback NLSEF are integrated to form an embedded ADRC model; the processor processes input data. The bidirectional Bi-GRU network extracts a time sequence dependency relationship in the input data sequence S from the forward direction and the backward direction at the same time to generate a hidden state sequence H; according to the method, the time sequence dependency relationship in the input data sequence is extracted from the forward direction and the backward direction at the same time, and the bidirectional Bi-GRU network can more comprehensively capture the dynamic characteristics in the data, so that the accuracy and robustness of data processing are improved. And carrying out feature extraction and clustering analysis on the specific sequence by using an ordered clustering algorithm.

The embodiment of the invention provides a laser direct-writing image detection method, a laser direct-writing image detection system and related equipment, which realize accurate positioning of an image deformation area position on a complete exposure breadth and measurement of deformation quantity by detecting the offset of light spots of different lasers in the horizontal direction at the same moment. The method comprises the following steps: arranging a plurality of groups of non-repeated binary images to be ranked in the horizontal direction to form an image sequence, and carrying out binarization processing on the image sequence to obtain the position of a laser exposure point; in a synchronous scanning process of a plurality of lasers in the laser array, controlling each laser to expose a mapping position of an exposure point on a photosensitive coating in an image sequence by using a synchronous switch instruction so as to respectively form a latent image of the image sequence in a respective scanning area of each laser; and if the plurality of developing image sequences are not aligned in the horizontal direction from the target binary images in the same sequence, detecting coordinate values of difference points of the target binary images in each developing image sequence in the horizontal direction.

The invention belongs to the technical field of forging and stamping, and particularly relates to a large-tonnage press machine servo master-slave synchronization system and a control method.The large-tonnage press machine servo master-slave synchronization system comprises a master transmission system, a slave transmission system and a control system, and each of the master transmission system and the slave transmission system comprises a power assembly and a transmission gear set; the power assembly is used for driving a press sliding block to do vertical reciprocating motion through the transmission gear set, the control system comprises a control unit and a man-machine interaction platform, the control unit receives signals of the man-machine interaction platform, and the master transmission system and the slave transmission system are driven through a master servo driver and a slave servo driver respectively. And the control unit can compensate the operation error of the master and slave transmission systems in real time, so that the consistency of the operation of the master and slave transmission systems is realized. The characteristics of the servo motor and a driving control system of the servo motor can be fully utilized, control over the large-tonnage press sliding block becomes more flexible, the control precision and action sensitivity of the large-tonnage press sliding block are improved, action cooperation of the large-tonnage press sliding block and an automatic feeding system is better, and then the production takt and the lifting efficiency of a large stamping production line are improved.

The present invention discloses a method and system for optimizing metering data of an ultrasonic gas meter, relates to the technical field of ultrasonic metering, and solves the problem in the prior art that the sensitivity analysis does not cover the factor of tiny flow leakage, resulting in deviation in determining the compensation factor; the present invention obtains a gas meter distribution map from a database, and installs an ultrasonic gas meter according to the distribution map; determines whether the ultrasonic gas meter is installed in the forward direction; determines whether the ultrasonic gas meter passes the anti-dismantling detection; determines whether there is a tiny flow leakage in the gas meter; calculates an error value through the recorded value in the gas meter and the actual gas flow; corrects the gas meter according to the error value; determines whether the actual gas usage after the error correction meets the safety gas usage standard; if yes, completes the data optimization of the gas meter; if not, sends a reminder signal; the present invention comprehensively considers the factors of error in the ultrasonic gas meter, which is conducive to more accurate optimization of the metering data.

The invention relates to a projection area measurement method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a projection image corresponding to a target object based on the target object and a target projection direction of the target object; determining a bounding box corresponding to the projection image; performing segmentation processing on the bounding box to obtain a plurality of image segmentation regions; determining a first projection image area and a first blank segmentation image area based on the plurality of projection image areas and the plurality of image segmentation areas; determining first measurement error information of the first projection image area according to the first projection image area, the bounding box area of the bounding box and the first blank segmentation image area; and under the condition that the first measurement error information meets the adjustable target condition, determining the first projection image area as the projection area corresponding to the projection image. According to the technical scheme provided by the invention, the reliability and accuracy of projection area measurement can be improved, and the measurement efficiency of the projection area can also be improved.

The invention provides a high-power laser diameter measuring device, which is characterized in that a first reflector and a second reflector are respectively arranged on a light path of a to-be-measured high-power laser beam entering a detector, and the part, shielded by the first reflector, in the laser beam is reflected to a first collector by the first reflector; the part, shielded by the second reflector, in the laser beam is reflected to the second collector by the second reflector; the first reflector and the second reflector are both installed on the first support, and the first support is integrally installed on a displacement table set composed of a first displacement table and a second displacement table through a connecting plate. The first telecentric lens, the first image sensor, the second telecentric lens and the second image sensor are respectively used for real-time observation of the first reflector and the second reflector. The high-power laser diameter measuring device provided by the invention can reduce the source of diameter measurement errors and improve the measurement accuracy, can be used for directly measuring the laser diameter, and can also be used as a measurement standard device to calibrate other high-power laser spot analyzers.

The invention provides a vehicle mileage fuel consumption integral compensation and longitude and latitude compensation method. A vehicle-mounted terminal, a cloud end and a map navigation system are included. Comprising the following steps: S1, data acquisition: collecting the running state and environment information of a vehicle; s2, the vehicle-mounted terminal uploads the collected data to a cloud end at a fixed frequency; s3, performing cloud analysis; s4, performing off-line statistical analysis, and correcting the acquired data; whether abnormal data points exist in the collected data or not is judged, averaging or interpolation is conducted on the abnormal data points through data of a plurality of moments before and after the abnormal data points, reasonable values of the abnormal data points at the moments are estimated, and the collected data are updated and corrected; according to the method, abnormal conditions in T-Box uploading data can be effectively processed, and the accuracy and reliability of mileage and fuel consumption data are ensured by using an integral method and a latitude and longitude compensation method. The method is of great significance to applications such as vehicle remote monitoring, motorcade management and driving behavior analysis.

The invention relates to a gastrointestinal tract transport track acquisition system, which comprises a wearable positioning device provided with a magnetic sensor array of at least two magnetic sensors; a single administrable positioning marker comprising a magnetic substance and capable of moving within the gastrointestinal tract; m is greater than or equal to 1, and each auxiliary positioning marker comprises a magnetic substance and is used for being arranged at a fixed position of a human body; and a terminal device. The magnetic sensor can collect the magnetic field intensity of the wearable positioning marker and the auxiliary positioning marker through magnetic induction, and the terminal equipment receives the magnetic field intensity data to determine the real-time position of the positioning marker in the gastrointestinal tract of the human body. Wherein the terminal equipment calculates the position direction parameters of the administrable positioning marker and the auxiliary positioning marker according to the received magnetic field intensity data, corrects the position direction parameters of the administrable positioning marker by adopting a motion artifact interference elimination method, and determines the real-time position of the positioning marker in the gastrointestinal tract of the human body.

The invention provides a tooth direction deviation correction method based on a cubic spline method, and the method comprises the steps: measuring tooth surface data based on an online measurement technology, processing the tooth surface data to obtain a tooth surface deviation correction value, and processing the tooth surface deviation correction value through a cubic spline interpolation method to obtain an interpolation function. And finally, correcting the tooth direction deviation by adopting an additional radial and rotation angle composite motion double-side modification method. The method comprises the following steps: firstly, carrying out grid division on a tooth surface according to a tooth profile curvature, and measuring by utilizing an online measurement technology to obtain tooth surface data; fitting the tooth surface by using a Gaussian curved surface fitting method, and compensating the radius of the measuring head to obtain an actual tooth surface equation; then, calculating a straight line parameter equation of the grid points along the end face normal vector, carrying out simultaneous operation on the straight line parameter equation and an actual tooth surface equation to obtain a tooth direction deviation value, and carrying out mirroring on the tooth direction deviation value to obtain a tooth direction deviation correction value; processing the tooth direction correction by adopting a cubic spline interpolation method to obtain an interpolation function; and finally, correcting the tooth direction deviation by adopting an additional radial and rotation angle composite motion double-side modification method. According to the tooth direction deviation correction method provided by the invention, the tooth direction deviation value is efficiently obtained; on the basis that the tooth direction deviation is effectively improved, the machining efficiency is improved; and the method can correct taper errors, helical angle errors and nonlinear tooth direction errors at the same time.

This invention discloses a comprehensive management method and system for base station power consumption, belonging to the field of base station power consumption. The method includes: topological mapping of the access relationships of AC / DC equipment within the base station to form a hierarchical power consumption association list; dynamic clustering parsing of the list to generate a time-series evolution chain reflecting state changes and remote control history; constructing a device differentiation identification model based on the time-series evolution chain, determining abnormal metering factors and outputting candidate correction events; labeling the corresponding areas of the candidate events as local anomalies, and generating a correction reference group by fusing multi-source information such as meter readings and sensor data; dynamically iteratively correcting the global metering results based on the correction reference group, and generating intelligent management instructions by combining the corrected load sharing ratio and branch authorization strategy. The system includes corresponding functional modules. This invention can systematically solve the problems of unclear base station power consumption topology, inaccurate metering, and extensive management, achieving high-precision metering and automated intelligent control.

The invention provides a vehicle braking distance detection method and device, electronic equipment and a storage medium, and relates to the technical field of automatic driving and unmanned vehicles. The method comprises the steps that braking data information of a target vehicle in the braking process is obtained; based on the braking data information, the actual braking effect of the target vehicle is evaluated, and braking effect evaluation parameters are obtained; on the basis of the braking effect evaluation parameters, a braking distance model of the target vehicle is updated, an updated braking distance model is obtained, and the braking distance model represents the function relation between the current vehicle speed of the target vehicle and the braking distance; and the braking distance of the target vehicle is determined based on the updated braking distance model, so that the accuracy of vehicle braking distance detection is improved.

The utility model provides a kind of angle starting position adjustable type split and combination subassembly of interlocking mechanism, including first pivot, the first pivot is fixedly connected with limit elbow, the outside rotation of the first pivot is connected with second pivot, plunger screw is equipped on the limit elbow, the outer end of the second pivot is equipped with auxiliary switch of coupling by bolt, during the application of this technical solution, it faces different angle design of interlocking mechanism transmission part, without modification main body, by adjustable structure of limit elbow and first pivot, plunger screw compensates the movement angle of second pivot, different transmission angle demand can be adapted, the versatility in multiple interlocking mechanisms is improved;Second, indication accuracy is high, plunger screw can absorb the movement deviation of rotating shaft, limit elbow angle adjustable correction shielding deviation, correct transmission part machining and debugging error, avoid misindication, ensure in-place indication reliable, fill the existing indication structure adaptation limitation, precision is susceptible to error influence blank.

The present invention discloses a method for correcting simulation results in a time-difference fluid simulator simulation process based on a graph convolutional neural network, which relates to the field of deep learning. The method comprises the steps of standardization, encoding, first-order correction and error stripping, second-order correction and error stripping, fusion encoding, decoding, and de-standardization, wherein encoding and decoding are implemented through a fully connected network, the correction and error stripping process is based on a graph convolutional network, and standardization is based on the accumulated mean and standard deviation. The method shares graph information with a time-difference fluid mechanics simulator, and can be efficiently plugged into a time-difference fluid simulator, solving the problem of error propagation during simulation of a time-difference simulator, causing simulation distortion and failure.

The invention relates to a method for eliminating the influence of polarization grating rotation. The method comprises the following steps: firstly, providing a rotation model based on a liquid crystal polarization grating and analyzing a two-dimensional error caused by the rotation of a single grating; mat lab is adopted for simulation, the 10-degree liquid crystal polarization grating is analyzed, and an error value caused in the two-dimensional direction is obtained; secondly, adopting two liquid crystal grating groups through experiments, rotating 10-degree gratings to obtain error data, and comparing the error data with a simulation result to verify the simulation reliability; secondly, carrying out grating rotation error analysis on the two liquid crystal polarization gratings, and respectively fitting an error correction experimental formula and a theoretical formula in a two-dimensional direction; finally, the fitted correction formula is substituted into a system control program, errors caused by grating rotation are corrected, and the light beam pointing precision is improved. The method provided by the invention provides technical support for subsequent application in laser radars, laser weapons and laser communication.

The present invention relates to the technical field of solar panel dust removal, and discloses a traveling wave electric curtain dust removal control method, which adopts a gray GM (1, N) BP neural network model to predict the required electric curtain excitation power supply voltage, and dynamically adjusts the electric curtain excitation power supply voltage based on a dynamic programming algorithm under the premise of electrode safety and dust removal efficiency. In order to ensure the smooth output of the excitation voltage, the optimization problem between the electric curtain excitation power supply voltage and the dust removal efficiency and working energy consumption at different stages is regarded as a dynamic change process of the excitation voltage. Compared with the prior art, the present invention comprehensively considers the influence of the electric curtain excitation power supply voltage on reliability and dust removal efficiency, and adjusts the excitation power supply voltage in real time according to the amount of dust accumulation on the surface of the solar panel, so as to ensure the working reliability of the electric curtain and improve the dust removal efficiency of the solar panel surface under complex climate environments.

The utility model relates to a radiotherapy body plate device with a rotation error correction function, which is characterized in that a head and neck limiting mechanism is arranged, so that the positions of the head and the neck of a patient can be limited, the deviation of the head and the neck of the patient in the treatment process can be prevented, and better positioning can be realized when the patient lies on one side and lies on the right side. According to the radiotherapy body plate device with the rotation error correction function, by arranging the head and neck limiting mechanism, firstly, the positions of the head and the neck of a patient can be limited, the phenomenon that the head and the neck of the patient deviate in the treatment process is prevented, and good positioning can be achieved when the patient lies on the side or lies on the front; a hand limiting mechanism is arranged, so that when a hand is placed in a second groove, the hand can be prevented from moving; by arranging the leg limiting mechanism, the two legs are placed in third grooves respectively and limited through bandages, the legs can be prevented from moving, and by arranging a positioning hole and a clamping block, the treatment accuracy can be improved.