36results about How to "Meet accuracy requirements" patented technology

The invention relates to a stereoscopic vision based acquisition method of the congestion degree of bus passenger flow, comprising the following steps of: (1) obtaining a left synchronous video image and a right synchronous video image by a left parallel synchronous camera and a right parallel synchronous camera, and processing left and right synchronous video image sequences by a synchronous video image collection module; (2) computing a parallax image of a passenger flow scene by a parallax computation module according to the left and right synchronous video image sequences, and prestoring a background parallax image; (3) judging the sort of a current frame by a foreground object generation module according to the frame difference motion characteristic of the passenger flow scene, dynamically updating the parallax image of a background frame, and computing the parallax image of a foreground object in the scene according to a foreground frame; (4) carrying out position mapping for the foreground object by a oreground object mapping module so as to obtain a ground plane mapping image of the foreground object; (5) carrying out object characteristic statistics for the ground plane mapping image by a congestion degree estimation module, obtaining a congestion degree estimation value according to an object area and an edge characteristic; and repeatedly and circularly executing the steps from step (1) to the step (5) to complete the real-time collection of the congestion degree of the passenger flow.

The invention provides a vehicle license character feature extracting and classifying method using projection symmetry as the precondition for judgment. The method comprises the following steps: firstly extracting character feature to 26 letters and 10 numbers which may appear in vehicle license characters by using projection symmetry as precondition to divide into four classes, namely vertical projection class, horizontal projection class, central point projection class and dissymmetric property class and realize the coarse classifications of vehicle license characters; and fining, performing normalization transformation, then extracting features of points and rings and completing the fine classification of vehicle license characters. The invention combines the projection symmetry with the feature extraction method of points and rings to set a vehicle license character classifier, thus laying the foundation of realizing the identification of vehicle license characters finally. The method has better identification effect on confusable characters, such as '0' and 'D', '8' and 'B', '7' and 'T' and the like, thus increasing the identification speed and accuracy of vehicle license characters.

The invention relates to a current measuring device based on combined PCB type Rogowski coils and a method thereof. The device comprises one or more pairs of PCB type Rogowski coils, an amplifier circuit unit, an integral circuit unit and a sampling circuit unit. One or more pairs of PCB Rogowski coils orderly are connected in series. The directions of current flow in the winding wires of any two adjacent PCB Rogowski coils are opposite. Through holes in the PCB Rogowski coils pass through conductors with the conduction of current, and differential voltage signals are measured. The one or more pairs of PCB type Rogowski coils in series connection are electrically connected to the amplifier circuit unit. The amplifier circuit unit amplifies and outputs the differential voltage signals. The integral circuit unit integrates the amplified differential voltage signals to obtain reducing voltage signals which are proportional to the measured current in the conductors with the conduction of current. The sampling circuit unit samples the reducing voltage signals. The device and the method have the advantages of good parameter consistence and high reproducibility, and stability of a mutual inductance coefficient is ensured.

The invention discloses a multiple-subarea matching method constraint by a space relation. A plurality of subareas are selected in a matching template as sub-templates, and the sub-templates are separately and simultaneously matched with to-be-matched images. Space position relations among the sub-templates are utilized to realize the accurate matching of the images. The method comprises the following steps: the plurality of subareas are selected in the matching template respectively as the sub-templates; the space relations among the sub-templates are determined; the plurality of sub-templates keep the space position relations unchanged to form combined templates; matching is carried out by utilizing the mobile searching performed by the combined templates on the to-be-matched images, and a plurality of similarity values of the combined templates are obtained; the plurality of similarity values are compared, and a position where a maximum similarity value exists is regarded as an optimum matching position to complete the matching. The method of the invention utilizes the mutual space relations among the plurality of sub-templates to reach the requirements for accuracy and precision of matching. The object identifying performance of the method is substantially improved in real-time performance compared with the conventional large-template gray scale or contour matching algorithms.

The invention discloses a bus passenger flow automatic counting method based on two-way parallactic space-time diagram and a system thereof which comprises a left camera, a right camera, a microprocessor, an infrared LED lamp and the like. The method comprises the steps of: paralleling the left camera and the right camera which are synchronous so as to obtain 4 row gray space-time diagrams generated on an in-counting line and an out-counting line; forming 2 moving target row parallactic space-time diagrams on the in-counting line and the out-counting line formed by the row gray space-time diagrams; extracting and marking moving targets in the row parallactic space-time diagrams; segmenting and merging the moving targets; matching optimally the moving targets so as to obtain judgment of passenger flow moving direction and finish automatic counting. The method and the system thereof are applied to buses with complex environment for passenger flow counting, and have compact system structure and high robustness. The adoption of two-way counting lines and stereoscopic vision technology improves the anti-interference performance and real-time performance of the system, thus being applied in counting scenes with rapid light variation and removing the interference caused by shadows to counting result.

The invention relates to the field of iron tower assembly quality detection, in particular to a method and a device for rapidly detecting the loosening of a bolt of an iron tower. An additional vibration source vibrates the iron tower, a loosened bolt and a tower part are excited to resonate or vibrate to produce secondary impact sounds, and sound waves are received and converted into electrical signals through a vibration frequency receiving device. Two methods are used for analyzing the electrical signals, wherein one method comprises the steps of displaying sound waveforms and performing waveform analysis by observing the waveforms, and the other method comprises the steps of performing counting and analyzing a count value, so that whether a certain bolt on the iron tower is loosened or not can be rapidly judged. Compared with the prior art, the method and the device have the beneficial effects that a sound wave detection technology is adopted for rapid detection after the assembly of the iron tower; the method and the device have the advantages of high detection speed, capability of greatly saving manpower and material resources and no requirements on tower climbing for detection; sound wave data can be analyzed to directly reflect whether the bolt of the iron tower is loosened or not by once comprehensive detection, so that requirements on the detection efficiency and accuracy of the iron tower are met.

A method for extracting embedded fault features in WAMS information of an electric power system comprises the following steps of (a) selecting initial variables in the WAMS information of the electric power system, and proceeding with a step (b) if significant difference does not exist in the sample variance, otherwise proceeding with a step (c); (b) calculating a correlation coefficient matrix of the initial variables, calculating the proper values and the unitized feature vectors of a covariance matrix, and proceeding with a step (d); (c) calculating a covariance matrix of the initial variables, calculating the proper values and the unitized feature vectors of the covariance matrix, and proceeding with the step (d); (d) proceeding with the step (a) to reselect initial variables if the proper values are close to zero, otherwise proceeding with a step (e); (e) confirming a final result of a principal component through the unitized feature vectors; (f) locating a fault element according to the node coefficient of the principal component. The method for extracting the embedded fault features in the WAMS information of the electric power system is strong in interference resisting capacity, capable of meeting the requirement for redundancy of the system, and capable of meeting the requirements for real-time performance and accuracy of fault location in a backup protection system in a wide range.

The invention discloses a real time self-adapting processing method of anastigmatic imaging, which is a real time self-adapting processing method of anastigmatic imaging in a high-speed movement small-object imaging system. According to the method, small objects in high-speed movement can be automatically searched and found, FPGA and DSP are used as the real time on-line processing platform, an image reinforcement and inter-frame correlation identification algorism with low complexity is adopted, effect of fake objects are removed to obtain movement characteristics of the objects, so as to drive a high-precision two-dimensional piezoelectricity tilting mirror to complete self-adapting movement compensation, thereby realizing clear imaging of the high-speed movement small-objects.

The invention discloses a light-emitting automobile sign convenient for millimeter-wave radar penetration, which comprises a sign body and a sign base, and is characterized in that the back surface ofthe sign body is connected with the sign base in a sticking or vibration friction welding manner; a UV high-hardness finish paint layer is sprayed on the front surface of the sign body, and a silk-screen printing ink layer, a UV primer layer and a nano inorganic silicon coating are sequentially arranged on the back surface of the sign body; a light-emitting device is further arranged between thesign body and the sign base and comprises a light guide plate and an LED rubber frame, the back face of the light guide plate is installed on the sign base through screws, and the front face of the light guide plate is connected with the LED rubber frame through a buckle. LED lamp beads are arranged on the LED rubber frame, and an LED lamp driving circuit is installed on the sign base and electrically connected with the LED lamp beads through wires. According to the invention, the sign body is irradiated by means of the LED lamp beads installed inside the sign, the lighting effect is good, therequirements of the 77GH millimeter-wave radar for permeability and accuracy are met, and the sign has the metal surface effect.

The invention discloses a running state monitoring method and system of a density data model database. At least one data node server of the density data model database is detected according to a preset time interval, and running state information of the at least one data node server is collected; the collected running state information of the at least one data node server is sent to a control node controller of the density data model database so that the control node server can display the running state information through a monitoring interface, and monitoring of the running state of the at least one data node server of the density data model database is achieved. The running state information of the at least one data node server can be automatically collected, the collected running state information can be visually displayed through the monitoring interface, and the running state information does not need to be manually collected so that the complexity degree of operation and maintenance can be lowered, and the requirements for accuracy and timeliness are met.

The invention relates to an extraction method of fault factor characteristics of an electrical power system, the method includes the following steps: a. choosing an initial variable, if a sample variance is smaller than a set threshold value, going to step b, otherwise going to step c; b. calculating a characteristic value and an unitized feature vector of the correlation coefficient matrix of the initial variable; c. calculating a covariance matrix of the initial variable, and the characteristic value and the unitized feature vector of the covariance matrix; d. if the characteristic value of the covariance matrix is smaller than the set threshold value, then going to step a, otherwise going to step e; e. calculating a common factor and a factor loading matrix of the initial variable; f. performing the orthogonal rotation or oblique rotation on the common factor; g. judging a fault element according to the coefficient feature and the scoring feature of the common factor. According to the invention, the fault factor characteristics of the electrical power system are extracted from real time measurement information in a WAMS (wide area measurement system), thus not only satisfying the requirement of a wide area back-up protection system on fault location real-time and accuracy,, but also having a strong anti-interference capability.

The invention relates to a method for automatically identifying flange axial flux leakage array signals, is suitable for the field of flux leakage internal detection data processing, and aims at solving the automatic detection, identification and location problems of the flange axial flux leakage signals. The method is specifically realized through the following steps of carrying out edge enhancement processing on flux leakage internal detection original data; carrying out self-adaptive threshold segmentation on the pre-processed data so as to obtain a flange signal coarse detection result; and carrying out vertical projection operation on the data to obtain flange signal features and then identify and locate flange signals. The method provided by the invention is low in calculation complexity and high in identification rate, and is capable of satisfying the requirements, for timeliness and correctness of big data processing, of engineering applications.

The invention provides a vehicle-mounted terminal SCR inlet and outlet temperature data consistency test method, which comprises the following steps: 1) static test: when a vehicle is in an in-situ idling state, removing temperature sensors at an SCR inlet and an SCR outlet from an SCR shell, and placing the SCR inlet and outlet temperature sensors in a temperature controller; verifying the consistency of the set value of the temperature controller and the test data of the slave remote platform; and 2) dynamic test: keeping the temperature sensors at the inlet and the outlet of the SCR normally installed in the SCR, keeping the vehicle in a driving state, and verifying the consistency of the data read through the CAN network node and the test data from the remote platform. According to themethod, a static test method and a dynamic test method are adopted, compared with a traditional method of directly punching holes in the catalyst carrier to install the sensor, a test conclusion canbe obtained more quickly, and heavy workload of hardware punching and possible carrier damage risks are avoided. Meanwhile, through static and dynamic data transmission path segmentation confirmation,problem points in the data link are easy to find.

The invention relates to a calculated medical image maximum density projection generation method, which comprises the following steps: step A, for an initial image data volume formed by a plurality of parallel image frames, the projection of one of the image frames on a projection plane is used as the mapping template; step B, after translation processing, the projection of other image frames on the projection plane is overlapped with the mapping template, and medical image maximum density projection processing is performed; step A comprises the following steps: step A1, the planar parameters and MIP image coordinate parameters of the projection plane are created, and the projection of the image frames on the projection plane is used as the mapping template; step A2, a mapping table is created; step B comprises the following steps: step B1, medical image maximum density MIP processing to each point of the first image frame is performed according to the mapping table; step B2, for the subsequent image frames, a new temporary mapping table is formed; step B3, corresponding medical image maximum density MIP processing to the subsequent image frames is performed according to the new mapping table, and the MIP image is dynamically refreshed to generate the final MIP image. The invention has the advantages of small operation quantity and small middle storage space requirement, thereby meeting real-time requests.

The invention discloses a light network construction method for embedded real-time visual target detection. The light network construction method comprises the following steps: step 1) constructing a three-branch output backbone network module Backbone-Tiny based on channel attention mechanism multi-scale feature fusion; step 2), constructing a light pyramid feature fusion network module PAN-Tiny; step 3), constructing a light detection head network module Head-Tiny; and step 4) according to the sequence of the backbone network module Backbone-Tiny, the pyramid feature fusion network module PAN-Tiny and the detection head network module Head-Tiny, sequentially connecting the three local sub-network modules described in the step 1), the step 2) and the step 3) in series to form the whole target detection network. According to the method, the effectiveness of feature extraction of the backbone network module can be greatly improved, and meanwhile, the calculation amount of the feature pyramid fusion network module is remarkably reduced.

The invention discloses an acoustic underwater beacon signal processing system based on an FPGA, and relates to the field of acoustic positioning and high-speed digital signal processing. The system comprises a high-speed AD acquisition module, a DDR2 storage module, an FPGA module, an on-duty circuit module, a digital pulse signal transmitting module, a TVG control module, an SD card storage module and a serial port communication module. The system is good in anti-interference capability, low in power consumption and good in real-time performance.

The invention belongs to the technical field of scene segmentation, and particularly relates to a scene segmentation method and system. The scene segmentation method comprises the step of carrying outscene segmentation on each frame of image in a scene video by utilizing a lightweight network, wherein the lightweight network comprises a plurality of convolutional networks, the network architecture is preset, and the training process comprises the following steps: inputting an image in a training set with normalized pixel points into a lightweight network with a known architecture; adopting convolution for feature extraction in the encoding stage, and combining convolution and bilinear interpolation in the decoding stage to restore information of an input image, and obtianing a feature mapwith semantic information; learning different types of feature maps by adopting a plurality of groups of convolution kernels, and fusing the feature maps in different periods; and optimizing each convolutional network in the lightweight network through a cross entropy loss function.

The invention discloses a ship lift safety mechanism gap adjusting device and an adjusting method thereof. The ship lift safety mechanism gap adjusting device comprises a coupler and a driving device,the coupler comprises a lower rotary supporting disc, a connecting shaft and a hoop, the lower rotary supporting disc is coaxially connected with the connecting shaft, and the hoop is used for connecting the lower rotary supporting disc with an upper rotary supporting disc of a safety mechanism driving shaft. The device has a reversing function through a bidirectional ratchet wrench; rapid adjustment of the upper gap of the safety mechanism thread pair and the lower gap of the safety mechanism thread pair is achieved, adjustment is accurate, installation and maintenance are convenient, heightdata of gap adjustment can be accurately obtained through angle scales on the ratchet wheel and a position pointer on the handle, and the accuracy and the efficiency of safety mechanism gap adjustment are improved.

The invention discloses a digital hearing aid echo canceling method based on NLMS algorithm improvement. The digital hearing aid echo canceling method based on the NLMS algorithm improvement mainly includes that each input data in an M-size block updates N/M coefficients of interval M, after inputting M data, all the coefficients of an adaptive filter are updated. Good convergence rate and steady state error are guaranteed through controlling the upper limit and lower limit of step size normalization. The digital hearing aid echo canceling method based on the NLMS algorithm improvement is capable of realizing the hearing aid echo canceling, lowering the computation complexity of the algorithm, guaranteeing the controllability of the algorithm performance and meeting the timeliness and precision demands of a hearing aid.

The invention relates to a high-precision multi-transformation-ratio standard current transformer working for a long time under 150% rated current, and belongs to the technical field of electric energy metering. The transformer comprises a shell, a primary winding, a secondary winding, an air passage, an insulating film, an iron core, an error compensation unit, a power supply and control module, a man-machine interaction unit, a fan, a self-locking universal wheel and a wiring terminal strip. By applying heat dissipation measures, error compensation measures and the like, the measurement accuracy and stability of the standard current transformer working for one hour for a long time under the condition of 150% rated current are guaranteed, meanwhile, the measurement accuracy and stability under the condition of 1-120% rated current are met, the technical support is provided for overload and error tests of the current transformer, and management of work such as current transformer network access detection, arrival acceptance check, operation quality, production and manufacturing and the like can be enhanced.

The invention discloses an abnormal data screening method and system for a power distribution switch digital acquisition device. The method comprises steps of calculating an adjacent interpolation remainder error according to a current sliding data window where a target sampling value is located, and updating a judgment total frequency mark; when an adjacent interpolation remainder error is greater than or equal to a preset adjacent interpolation remainder error threshold value and the electrical quantity type corresponding to the target sampling value is not a zero-sequence component, updating an anomaly judgment frequency mark; when the total number of times flag is greater than or equal to a first preset number of times threshold and the anomaly judgment number of times flag is greater than or equal to a second preset number of times threshold, determining that the data type of the target sampling value is abnormal data. According to the method, the data type of the sampling data is judged based on the improved linear interpolation and the zero sequence waveform correlation coefficient, meanwhile, abnormity diagnosis positioning is carried out, accuracy and real-time performance requirements of field terminal equipment sampling can be met, and a guarantee can be provided for terminal equipment measurement and control, protection and effectiveness of feeder automation service data.

The invention provides a ground fault line selection method based on discrete Frechet Distance. The method comprises the steps of: collecting fault information, and judging a fault reason according to the fault information; if the fault is a single-phase ground fault, extracting zero-sequence current signals before and after the fault time of each feeder line, and establishing a change curve of zero-sequence current and time; and comparing the current values of all the feeder lines in the same time period on the basis of a discrete Frechet Distance algorithm, and determining that the feeder line with the largest current value difference from the other feeder lines at the same moment is the fault line. Compared with the prior art, the line selection method can effectively solve the problem that the line selection rate is low under the high-resistance grounding condition, and the requirement for accuracy is met; and the method can be simultaneously applied to cable lines and overhead lines, and has wide applicability.

The invention discloses a steel rail acoustic emission signal rapid high-precision reconstruction method based on compressed sensing, and the method comprises the steps: 1, carrying out the three-layer wavelet packet transformation of a collected steel rail acoustic emission signal, obtaining a multi-scale data set, constructing a Gaussian random matrix, and carrying out the random sampling of the multi-scale data set, and obtaining a measurement value matrix; 2, constructing a multi-scale modular dictionary based on K-SVD, reconstructing a multi-scale data set by using SAMP, and calculating a kurtosis difference between a reconstructed measurement value and an original measurement value; and 3, locally updating the module with poor performance in the multi-scale dictionary in a self-adaptive manner by using the kurtosis deviation of the multi-scale data set before and after reconstruction, and obtaining a high-precision reconstructed steel rail acoustic emission signal by using wavelet inverse transformation after the precision requirement of the reconstructed signal is met. According to the method, rapid and high-precision compression and reconstruction of the acoustic emission signals of the steel rail can be effectively realized, and guidance is provided for crack signal analysis in health monitoring of a steel rail structure.

The invention belongs to the field of robot control, in particular to a method for acquiring grasping points of a robot steadily grasping an object based on monocular vision, aiming at solving the problem of low grasping success rate of a robot to an unknown object in an unstructured environment. The invention comprises the following steps: obtaining the color image of the object and the environment based on the monocular vision sensor, and extracting the plane edge contour of the object; Based on the planar edge contours of four-fingered parallel manipulator and object, constructing the environment constraint domain of robot grasping system, and obtaining the lowest point of environment attraction domain, and then a plurality of candidate grasping points. Inputting the candidate grabbingpoints of each group into a grabbing point quality evaluation network to obtain the grabbing point quality of each group of candidate grabbing points; Selecting the output of the grab point corresponding to the maximum quality of the grab point. The invention improves the rapidity, accuracy and reliability of the grasping point identification, and improves the grasping success rate of the robot tothe unknown object in the unstructured environment.

The invention provides a posture recognition method and system for human body on an electric sickbed. The method comprises the steps: acquiring real-time image information of a human body on an electric sickbed, positioning the position of the electric sickbed, preliminarily positioning the approximate range of the human body according to the position of the electric sickbed, and recognizing a human body bounding box by using an RMPE posture recognition frame; and carrying out posture recognition on the human body based on the human body bounding box. Meanwhile, a good human body bounding boxcan be obtained by utilizing the characteristic that the bed body can be used for fixing the sliding of a camera before images are obtained, and therefore human body posture recognition of the electric sickbed is accurate in positioning and high in accuracy.

The invention discloses a data quality judging and monitoring method, a management system, a storage medium and a terminal, and relates to the technical field of data processing. The method comprises the steps of performing data quality judgment on the data from different sources according to the quality judgment rule configured for each field, checking each item of quality requirement one by one, and warehousing nn after all detection items are judged to be qualified; for unqualified data found in the data quality judgment process, configuring a corresponding processing program according to the abnormal type of the unqualified data, reserving valuable data, and removing useless data; and continuously carrying out quality monitoring on the data, carrying out statistical analysis on related indexes such as repetition rate, missing rate and error rate, and finally outputting a data quality report. In the quality judgment process, the quality of each data source is continuously monitored, a data quality report is formed and fed back to the data source for rectification, and the efficiency of data quality management is effectively improved.

The invention discloses a time synchronization detection method based on acquisition terminal B code time synchronization, which mainly comprises a time synchronization state on-line monitoring protocol configuration checking method based on B code time synchronization, and the method comprises the following steps: testing a protocol supported by a detected acquisition terminal, and recording protocol configuration and functions supported by detected equipment; the invention discloses a communication protocol detection method of a time synchronization online monitoring function based on B code time synchronization. The method comprises the following steps: detecting a time synchronization signal state, a time synchronization service state and a time jump detection state; a detection method of a time synchronization state detection function based on B code time synchronization comprises the following steps: simulating scenes of different time synchronization deviations of detected equipment, and detecting whether the time synchronization state detection function of an acquisition terminal meets requirements or not; the invention relates to a method for detecting an equipment state self-checking function based on B code time synchronization, which respectively simulates each scene of a time synchronization interface self-checking function, a time synchronization service state self-checking function and a time jump detection state self-checking function, and detects whether the equipment state self-checking function is correct or not.

The invention relates to an ammunition and target matching intelligent system, and belongs to the technical field of combat targets. According to the method, the ammunition and the target can be distributed by taking the maximum damage efficiency and the minimum ammunition value as constraint conditions, and the method is a combined firepower striking action implemented for a plurality of combat targets, has the characteristics of good reliability and high accuracy, and meets the requirements of war complexity, accuracy and real-time performance.

The invention belongs to the field of power plant fuel management, and discloses a power plant fuel data verification method and system, and the method comprises the steps: obtaining power plant fuel data in real time through a group side server and a third-party server; the third-party server randomly selects a hash function from a preset first hash function library to obtain a target hash function, performs hash operation to obtain a first hash value, and sends the first hash value to the group side server; the group side server traverses a preset second hash function library, and sequentially performs hash operation on the power plant fuel data to obtain a plurality of second hash values; comparing whether a second hash value which is the same as the first hash value exists in the plurality of second hash values, and when the second hash value which is the same as the first hash value does not exist in the plurality of second hash values, passing the verification of the fuel data of the power plant; otherwise, the power plant fuel data verification fails; the power plant fuel data can be guaranteed not to fall to the ground, human intervention is reduced, and the requirements of the power plant for real-time performance, accuracy and safety of the power plant fuel data are met.

The invention provides a portal type aluminium bar stacking and unstacking unit. A stacking host machine is arranged between two transverse beams at the top of a portal frame and is composed of a lifting driving mechanism, a safety brake device and a lifting control device; lifting guide rails in bilateral symmetry are arranged on the inner sides of landing legs on the two sides of the portal frame, are vertically arranged, and are positioned on a center line between the two transverse beams on the top of the portal frame; a lifting platform is arranged between the lifting guide rails on the two sides; a dual-output motor is arranged in the middle of the lifting platform; a plurality of groups of symmetrical mechanical grippers are arranged on the left and right sides of the dual-output motor; any group of mechanical grippers is composed of gripper plates symmetrically arranged; and to-be-extracted material is arranged between the front gripper plate and the rear gripper plate of eachof the mechanical gripper. The portal type aluminium bar stacking and unstacking unit solves the problem that a frame stand column is interfered with three composite skip cars of a homogenizing furnace, does not need a frame, greatly saves the steel use level and facilitates manual operation and overhauling.