324results about How to "Reduce the impact of errors" patented technology

The invention discloses a day-dimension regional traffic index prediction method considering influences of multiple factors. The method comprises the steps that regions are divided and aggregated; regional traffic index original data preprocessing is carried out; the influences of multiple factors are considered, and regional traffic index prediction under the day dimension is carried out. According to the specific technical scheme of the method, on the basis of traffic cell division, traffic cells with the same aggregation property are aggregated, and regional traffic indexes are calculated;on the basis of road network operation early warning requirements, a prediction time period and a prediction cycle are determined; regional traffic data is extracted, made up for and removed, and preprocessing such as comprehensive building of a historical data factor attribute set from different angles is conducted on the data; on the basis of a decision tree theory, regional road network operation congestion state prediction is carried out; a final prediction result of the regional traffic indexes is determined by means of the square euclidean distance. By means of the method, on the one hand, monitoring and application of the urban road network operation state is deepened, and on the other hand, technical support is provided for early warning and forecasting work of the road network operation state.

The invention provides a method and device for correcting wireless local area network (WLAN) chip radio-frequency transmitter LO leakage. The device is formed by an analog compensation circuit and digital LO leakage estimation and correction. In order to eliminate the LO leakage introduced by a radio-frequency circuit at a transmitter and enable emitting signals to be accord with the frequency spectrum requirement of a WLAN protocol, the device is added with the compensation circuit at the radio frequency portion; then the deviation values of I/Q two paths of signals are estimated through a digital one-dimensional scanning method; and the estimation results are written into the compensation circuit of the radio frequency portion, thereby realizing the correction of the LO leakage of the transmitter.

The invention provides a sun-tracking device with an external rotating angle and an internal rotating angle, belonging to the technical field of solar energy utilization and track. The invention is characterized in that: an inner gimbal rotating shaft is connected with the outer gimbal, the outer gimbal rotating shaft is connected with a bracket; the inner gimbal, the outer gimbal and a fixed bolster are connected with each other through a shafting forming an outer gimbal rolling shaft which can rotate as the external rotating angle, the inner gimbal can rotate as the internal rotating angle and the external rotating angle, moreover; a rotating half wheel and a rotating driving bracket are arranged on the inner gimbal and the outer gimbal respectively, controlling the tracking trajectory in a hemispheric spherical surface range. The invention has the advantages of simple structure, low cost, strong wind resistance, suitability for concentrating light, lighting, fixing sun and other kinds of tracking, and suitability for tracking control of optics and real-time programs.

The invention discloses an optimization method of a convolution neural network. In a convolution neural network training process, a filter group with poorer effects and a filter group with better effects are selected out, and parts of coefficients in the filter group with poorer effects are replaced by parts of coefficients in the filter group with better effects, parameter update between convolution layer filters is achieved. After a modified network has been trained for a certain time, error magnitude generated by the network after and before the modification is compared, whether the previously achieved parameter update of the filters is valid or not, selection is performed in the two networks, and the network with good performance is used for following trainings. By continuously repeating the above processes, a network with better performance can be obtained through the training and the feature extraction ability of the network is improved compared with the traditional network.

The invention relates to a surface deformation inversion method based on a time sequence InSAR technology. The surface deformation inversion method comprises the following steps of geocoding and imageregistration, differential interference pair generation, PS point selection, space-time unwrapping and error separation. Specifically, on the basis of an image registration mode, coarse registrationand fine registration are adopted, and the registration precision requirement in a TOPS imaging mode is guaranteed; for an atmospheric delay error, the layered atmosphere and the floating atmosphere are respectively processed by using different algorithms, so that influence of the atmospheric error is weakened to the greatest extent, and the deformation inversion precision is improved; and if GNSSdata is provided, atmospheric delay can be corrected by utilizing the observation data, and meanwhile, joint adjustment is carried out by taking the observation data as a constraint condition in an InSAR observation equation, so that the precision and reliability of a deformation result are ensured, and all-weather, large-area, continuous and high-spatial-resolution surface deformation monitoringis realized.

The invention discloses a method of extracting a city building height based on multi-temporal remote sensing image shadow. A systematic, quick and accurate method is formed to use two different-temporal remote sensing images (the two images with different sun height angles and satellite azimuth angles) to carry out batch analysis and calculation on the shadow of a target building, and thus, the height of the target building in an area can be quickly and accurately extracted, and the efficiency of measurement, three-dimensional modeling and other work can be improved. In particularly, the length of the building shadow is calculated, the included angle relationship between a landmark building on the image and the shadow thereof is combined, and a corresponding mathematical model is selectedto calculate the height value of the target building in the area. According to the two groups of building height results obtained when two remote sensing images are used for calculation, a fitting equation is built based on the least square method, the height of the target building after correction is acquired, and the calculation result precision is thus improved.

The one-dimensional displacement work table in nanometer level positioning precision includes a work table part, a position detecting part, and a driving part. The work table part includes coarse regulating work table, which is set between rolling tracks in vertical direction and has coarse displacement regulating mechanism; and fine regulating work table, which has pedestal set in the inner cavity of the coarse regulating work table via one connecting foldable flexible hinge support mechanism and has piezoelectric micro displacement unit as fine displacement regulating mechanism set between its pedestal and the coarse regulating work table. The driving part for the coarse regulating work table and the fine regulating work table is connected to the signal processing and controlling circuit. diffraction grating fixed on the work table is used as the measurement sensor for the displacement of the work table to form the displacement relevant detection signal.

The invention provides a visual measuring method for the space target three-dimensional pose of two-phase iterative solutions which are absolute oriented question solution and focus depth estimation adopted in three-dimensional pose calculation. The invention adopts a visual measurement mode which is arranging characteristic cursor point on a target to be measured, and comprises the following steps: camera calibrating, target imaging, image processing, characteristic point extracting and matching and three-dimensional pose calculating. The three-dimensional pose calculation is an iterative process, wherein, the iterative process is based on projecting line inversion and comprises two phases which are absolute oriented question solution and focus depth estimation. The three-dimensional pose calculation comprises the following steps: calculating the relative pose of a space target by adopting an absolute oriented solving analytical algorithm in the absolute oriented solution phase; and in the focus depth estimation phase, reconstructing the object space coordinates of each characteristic point by utilizing the relative pose calculated in the former phase, and updating the focus depth of each characteristic point by utilizing the projection thereof on a reverse projecting line. The three-dimensional pose calculation which adopts a sloving mode of two iteratedly carried out analyzing algorithms has the advantages that the accuracy is high; the convergence is fast; the calculation amount is small; and the applicable range is wide.

The invention discloses a wifi-based location fingerprint positioning method. The method particularly comprises the following steps: 1, during a preparation process, wireless APs are deployed and reference points are selected and marked; 2, a fingerprint database is built, and data are acquired and a filtering technology is adopted to complete building of the fingerprint database; and 3, online matching is carried out, and a dynamic joint WKNN algorithm is adopted for indoor positioning. According to the wifi-based location fingerprint positioning method, a new data acquisition mode and the filtering technology are adopted for completing building of the fingerprint database, the dynamic joint WKNN algorithm is combined for indoor positioning, the fingerprint database information accuracy and the online matching precision are improved, and stable positioning is realized.

The invention provides an I/Q unbalance correction method and device used for a wireless local area network device. The device is formed by transmitter I/Q unbalance estimation and correction and receiver I/Q unbalance estimation and correction. In order to obtain the I/Q amplitude mismatch and phase mismatch coefficients of a transmitter and a receiver, the device estimates mismatch parameters through a one-dimensional scanning method firstly, and then, inputs baseband signals to an amplitude and phase unbalance correction module based on the estimated mismatch parameters, and thus mismatch errors are corrected.

The invention relates to a multifunctional rock shearing test testing device. According to the device, a vertical jack is installed at the top of a framework, and a horizontal jack and a vertical support sliding base are respectively arranged on the two opposite side walls of the framework; a horizontal support sliding base and a horizontal guide sliding rail are arranged at the center inside the base in sequence; a lower bonding box and an upper bonding box are installed above the horizontal support sliding base; a standard rock sample is arranged between the upper and lower bonding boxes; a horizontal piston rod of the horizontal jack is horizontally arranged and is equal to the lower bonding box in height; the bottom of a vertical piston rod of the vertical jack is fixed on the top surface of a vertical connecting piece; the horizontal jack, the vertical jack and the upper and lower bonding boxes are all connected with a servo control system. The testing device can be used for acquiring an accurate and perfect rock constitutive model rapidly and effectively, and establishing a corresponding strength criterion, and has important significance. The invention also discloses a testing method of the test testing device.

The invention relates to a vision localization, measurement and control method for an automatic refueling dead zone of an unmanned aerial vehicle. According to the method, pattern recognition, calculation and localization of a fuel delivery taper sleeve on an unmanned aerial vehicle for fuel delivery are carried out by a visual machine inspection method, so that the relative position between a filler pipe and the fuel delivery taper sleeve is obtained; locating data are transmitted to a ground station; the ground station filters the data, and calculates a control command by a control algorithm; the control command is sent to an aircraft end for controlling the aircraft to achieve the purpose of automatic refueling. The invention also provides a relevant localization, measurement and control system and an experimental platform. The invention has the core idea that a refueled unmanned aerial vehicle collects a target image of the fuel delivery taper sleeve through a camera with an adjustable focus, calculates a relative position and size of a target in view by a projection method and a pattern recognition algorithm, then calculates the relative position between a refueled pipe and the fuel delivery taper sleeve, and the ground station controls unmanned aerial vehicles to dock and implement refueling operation. The vision localization, measurement and control method for a dead zone is fast and stable, high in precision, and can meet the application requirement for localization of an automatic refueling dead zone of an unmanned aerial vehicle.

The invention provides an error modeling compensation method and system of an optical remote sensing satellite image time-varying system. The error modeling compensation method comprises the following steps: based on observation data of a plurality of satellite sensors at a plurality of imaging time periods of a ground camera, obtained by an optical remote sensing satellite, resolving a relative mounting parameter change sequence between the satellite sensors to obtain an optimal mounting parameter estimated value; according to the observation data of the plurality of imaging time periods of the plurality of satellite sensors and the mounting parameters obtained by calibration, realizing optimal information fusion of the plurality of satellite sensors, and outputting high-precision attitude data; realizing ground camera precise attitude inversion by adopting a strict geometrical imaging model; constructing a time-varying system error compensation model by adopting Fourier series; and fusing attitude and ground camera precise attitude results according to information of the plurality of satellite sensors, and realizing optimal estimation of parameters of the time-varying system error compensation model based on a least squares principle. With the adoption of the error modeling compensation method and system, on-track compensation of low-frequency errors and non-uniform attitude standard errors of the satellite sensors can be realized, and influences on errors of a high-resolution-ratio optical remote sensing image out-of-control positioning time-varying system are effectively weakened.

The invention discloses an ultra-low frequency dielectric loss-based DC cable extrusion insulation aging state evaluation method, wherein the extrusion type solid insulation of a DC cable is adopted as a research object. The method comprises the following steps of preparing an insulated inner-layer slice sample, an insulated intermediate-layer slice sample and an insulated outer-layer slice sample of a cable; according to the rated operating voltage of the cable and the dimension parameters of the cable, determining a measurement voltage; measuring the dielectric loss of slice samples under different voltages at a frequency of 0.1 Hz; processing measurement data and preparing a dielectric loss-voltage graph in a normalized coordinate system; according to the dielectric loss values of the inner and outer layers of the dielectric loss-voltage graph and the varying trend thereof along with the application of an externally applied voltage, evaluating the extrusion insulation aging state of the DC cable. According to the technical scheme of the invention, the extrusion insulation aging state of the DC cable can be accurately evaluated, so that the real-time state of the extrusion type DC cable can be effectively determined. Meanwhile, the method is small in test sample size, and low in requirement on the voltage and the capacity of a test instrument. The influence of the test instrument on the system error is reduced. The requirement on the accuracy of the test instrument is lowered. Meanwhile, the data of the method are free from being compared with historical data, so that the method can be used for evaluating the cable state, wherein original data are missed.

The invention relates to a device for determining the speed of a vehicle with means for determining the yaw rate of the vehicle, means for determining the curvature of a curve passed through by the vehicle, and means for determining the speed of the vehicle from the yaw rate and the curvature. The invention further relates to a method for determining the speed of a vehicle, comprising the steps: determining the yaw rate, determining the curvature, and calculating the vehicle speed from the yaw rate and the curvature. The curvature can be determined from the difference of the measured wheel speeds.

The invention discloses a control method of an MEMS (micro-electromechanical system) micro-gyroscope based on direct self-adaptive fuzzy control. A control system of the MEMS micro-gyroscope based on direct self-adaptive fuzzy control comprises a direct self-adaptive fuzzy controller, and is characterized in that: the direct self-adaptive fuzzy controller comprises a basic fuzzy controller which is built by a fuzzy logic system and is used for approximating an ideal controller of the MEMS micro-gyroscope, and a D (digital) controller which is used for ensuring that the state of a gyroscope system is bounded. In the control system of the MEMS micro-gyroscope based on direct self-adaptive fuzzy control, the direct self-adaptive fuzzy control method is applied to gyroscope control. The knowledge and the experience of experts can be combined with the fuzzy controller, and parameters in the fuzzy system are self-adaptively adjusted by a Lyapunov-based method, thereby the stability of the fuzzy control system is ensured. The fuzzy controller can be widely applied to the MEMS gyroscope control to improve the stability and the reliability of the system, and has great value in use in industry.

The invention discloses a thermal infrared information denoising method in the coal petrography fracture development process, and belongs to a thermal infrared information denoising method. According to the method, denoising is performed on the loading coal petrography surface infrared radiation average temperature by utilizing the reference coal petrography surface infrared radiation average temperature, and then loading coal petrography surface infrared radiation average temperature change characteristics in the uniaxial loading process is obtained. According to the thermal infrared information denoising method in the coal petrography fracture development process, the problem that noise influences the coal petrography surface infrared radiation average temperature is thoroughly solved, the accuracy, the scientificity and the effectiveness of Infrared radiation average temperature data are improved, therefore, the denoised loading coal petrography surface infrared radiation average temperature change characteristics are obvious and have the inducible property, and the problem that the noise influences the coal petrography surface infrared radiation average temperature can be solved.

The invention discloses an optimal control method based on a data-driven single network structure. By continuously updating training samples and adding to an LS-SVM model, the partial derivative of a system state variable x for the optimal performance index function is approximated on line, and then the optimal control law is directly obtained by calculation according to the optimal control law expression. In this way, the controller network is saved, so that the structure becomes simpler. In addition, the calculation procedures involved in each iteration of the traditional computing method are reduced, thereby increasing the execution speed.

The invention relates to a solar energy electric heat utilization device and a utilization method thereof and aims at solving the technical problems that structure is unreasonable, solar energy utilization method is single and efficiency is low of similar products in the prior art. The solar energy electric heat utilization device comprises a Fresnel lens, a coating film frequency division mirror, a photovoltaic cell, a heat receiver and a condensation reflector, and is characterized in that the Fresnel lens and the coating film frequency division mirror are arranged between the photovoltaic cell and the heat receiver, the Fresnel lens and the coating film frequency division mirror receive condensation light beams of the condensation reflector, one of the photovoltaic cell and the heat receiver are placed on a focusing portion of the Fresnel lens, and the other is placed on a focusing portion of the coating film frequency division mirror reflection condensation light beams. The solar energy electric heat utilization device is simple in structural principle, flexile in design, low in manufacturing cost, wide in application range, capable of distributing light utilization and heat utilization reasonably and effectively improving solar energy electric utilization efficiency and heat utilization efficiency, and is suitable for being used in solar energy utilization fields or structural improvements of similar products.

The invention discloses a three-body-combined offshore laser radar wind measuring buoyage. The three-body-combined offshore laser radar wind measuring buoyage comprises a buoy, a wind measuring laser radar, a motion sensor module, a fan assembly, storage batteries, meteorological measurement modules, a seawater measurement module and a mooring system for positioning, wherein the wind measuring laser radar, the motion sensor module, the fan assembly, the storage batteries, the meteorological measurement modules and the seawater measurement module are mounted on the buoy. The buoyage can combine the laser radar and the ocean buoy and has advantages in cost and use flexibility in a working process for finishing corresponding offshore wind profile measurement; further, the buoy adopts a three-body-combined structure, the motion response amplitude in waves is smaller, the hydrodynamic performance is excellent, the structural components are convenient and easy to dismount and assemble, the size of the buoyage is relatively small and can meet the requirement for loading into a standard container, package and transport of the whole system by the container can be realized, requirements of land transportation and sea transportation can be met, and the buoyage has the advantages of convenience, rapidness, high flexibility, high price/performance ratio and the like in an optional mode of transportation.

The invention is applicable to the technical field of lithium ion batteries, and provides a method and device for improving SOC estimation precision of a lithium ion battery, and the method comprisesthe steps: obtaining the working state of the lithium ion battery at the moment k, and obtaining the maximum discharge capacity of the battery through the calculation of obtained characteristic parameters when the lithium ion battery is in a charging state. And after the lithium ion battery is converted into a discharge state, obtaining current and voltage in the working process of the lithium ionbattery, carrying out online identification, obtaining identification parameters of the lithium ion battery at the moment, calculating terminal voltage, current and identification parameters of the lithium ion battery at the moment k and the obtained maximum discharge capacity, and obtaining the SOC of the lithium ion battery at the moment k. According to the invention, the residual electric quantity of the lithium ion battery can be accurately estimated after the ambient temperature changes and the battery is aged, the efficiency and accuracy of estimating the residual electric quantity of the lithium ion battery are improved, and the anti-interference capability is strong.