124results about How to "Realize dynamic tracking" patented technology

The invention designs a lithium ion battery thermal runaway early warning system and an early warning method. The early warning system comprises various sensors, a battery management system, a warningdevice and an automatic emergency fire extinguishing device. The sensors comprise an ultrasonic sensor, a temperature sensor, a voltage sensor and a smoke sensor. The ultrasonic sensor can reflect abattery internal gas state characteristic, so prejudgment and diagnosis are carried out on battery thermal safety in a thermal runaway risk emerging early phase timely and early warning is rapid and efficient. The battery management system carries out data analysis based on various sensor combined detection, compares a plurality of parameters with set thresholds, sends out different levels of early warning signals and takes different control policies. A safety accident risk resulting from thermal runaway is reduced, and personnel injury is reduced.

The invention relates to a device for iris tracking and acquisition, and a method thereof and specifically relates to a device for remote iris tracking and acquisition, and a method thereof. An objective of the invention is to solve problems that an existing iris acquisition device cannot acquire information from long distance, that targets are needed to actively coordinate with the acquisition in an acquisition process, that the existing iris acquisition device is easy to be interfered by a plurality of targets, and that recognition algorithm precision is relatively low. A signal output end of a binocular camera is connected with a face information acquisition signal input end of a computer. A signal output end of a telephoto camera is connected with a signal input end of varied magnification and zoomed face information of the computer. A moving signal input end of a two-degree-of-freedom rotating holder is connected with a holder moving signal output end of the computer. An infrared source is fixed on the telephoto camera, and the telephoto camera is fixed on the two-degree-of-freedom rotating holder. The device and the method are used for remote iris tracking and acquisition.

The invention discloses a method and a device for generating or displaying a webpage label and an information sharing system based on the webpage label. The method for generating webpage label information comprises the following steps: responding to a user to select a target webpage element on a current webpage loaded on a client Web browser as a labelled object and extracting an XPath path of the labelled object in a document object model (DOM) tree of the current webpage; based on the labelled object and contents of context webpage elements next to the front and back parts of the labelled object in the current webpage, generating a feature code CF of the labelled object; and based on the XPath path and the feature code CF of the labelled object and a label input by the user, generating the webpage label information, wherein the webpage label information is stored in a label database of a remote label server and the feature code CF of the labelled object consists of a content-based feature (CBF) of the labelled object and the CBFs of the context webpage elements of the labelled object.

The invention discloses a 3D visualized smart water affairs operation system. The system comprises a sewage plant automatic control module, a sewage plant optimization module, a pumping station automatic control module, a water quality monitoring module, a plant area display module, a video monitoring module, an equipment management module, an energy consumption management module, an intelligent tour inspection module, a pipe network management module, a data analysis module and a mobile end module connected with a central database via a central scheduling module; the video monitoring module is connected with the data analysis module; and the data analysis module is connected with the central database and the central scheduling module. According to the system, a 3D virtual reality technology is used, a complete remote monitoring, early warning, scheduling, disposal and control system is established, an intelligent integrated command platform and mobile tour inspection equipment are constructed in an integrated manner, the capability of coping with change is improved, operation management is made digital, informational, modern, automatic and intelligent, remote data monitoring and control are realized, and the management efficiency and precision are improved greatly.

This invention relates to an on-chip tracing method of a microprocessor, which sets some positions as viewing points in the execution process of a program by an on-chip tracer (OCT), then traces, records and outputs the information of the assigned internal registers at these points used in the field of 8051 serial microprocessor or other microprocessor fields.

The invention provides an online estimation method and system for a health and power state of a power battery. The online estimation method and system can accurately estimate the state of health SOH value and the state of power SOP value of the battery at present. The online estimation method comprises the following steps that step 1, parameter identification of a battery second-order RC model based on a recursive least square method with forgetting factors is carried out; step 2, open-circuit voltage correction based on hysteresis voltage simulation is carried out; step 3, the state of current SOC and SOH calculation based on dual-extended Kalman filtering is carried out; and step 4, SOP estimation based on a second-order RC equivalent circuit model is carried out. According to the onlineestimation method and system, the stability of parameter inverse calculation is ensured, the purpose of small and stable calculation amount is realized, the dynamic tracking of time-varying parameters of the battery and the real-time estimation of the state of health SOH of the battery are realized, the calculation accuracy is improved, so that the calculation is integrated and compact, the redundant calculation is eliminated, and the calculation efficiency is improved.

The invention discloses a dynamic self-adaptive air conditioner control system. The dynamic self-adaptive air conditioner control system comprises an air conditioner control circuit and a wearable type terminal which is used for acquiring a physiological signal of a human body, wherein the air conditioner control circuit is used for receiving a signal from the wearable type terminal in a wireless mode and generating a corresponding air conditioner control signal according to the fuzzy control principle. The dynamic self-adaptive air conditioner control system can be used for realizing dynamic tracing of user state changes, automatically regulating and controlling the operation state of the air conditioner according to practical thermal comfort conditions, under different states, of the user body, and guaranteeing that the indoor temperature is always within a thermal comfort region of a changing body, so that the air conditioner control system is relatively intelligent and automatic, and therefore, the air conditioner is relatively comfortable and energy-saving.

The invention relates to a network video topic detection method and a system, and the method comprises the following steps: step 1, representing label words of videos as a word frequency change trajectory on a time axis, and extracting significant words in each time unit according to the word frequency change trajectory; step 2, representing the significant words in each time unit as an inverted index of all the videos uploaded in the time unit, clustering the significant words, and leading one class to represent one event of the time unit; step 3, calculating the similarity among all the events, establishing the connection among the events, forming an event development trajectory chart, taking points in the event development trajectory chart as the events, and connecting the points according to the similarity between each two events for generating a side; step 4, dividing the event development trajectory chart into a plurality of communicating sub-charts; and step 5, finding optimal paths in all the communicating sub-charts according to the preset standard, leading each optimal path to correspond to one topic trajectory and further completing the topic detection. The method and the system can detect video topics from a network.

The invention relates to a moving target dynamic tracking method, system and device based on S-curve acceleration and deceleration. The method comprises the steps as follows: the initial positon of atarget object and the initial positon of the tracking device at the same time are acquired, the meeting point positon where the tracking device tracks the target object is predicted, and a geometric model is built; working areas of the tracking device are divided according to the S-curve acceleration and deceleration algorithm, and initialization parameters of the working areas are calculated; therelation between the moving track of the target object and the initial positon of the tracking device is judged, and the working areas, where the moving track of the target object passes, of the tracking device are determined; and dynamic tracking equations of the different working areas of the tracking device are built according to the geometric model and are solved on the basis of the shortestoverall time principle for dynamic tracking. According to the method, the system and the device, the working space of a robot is fully utilized, workpieces on a conveying belt are tracked dynamicallyon the basis of the shortest time principle, and the method, the system and the device have the good dynamic performance and grasping efficiency.

The invention discloses a method for processing coal gas flow center dynamic tracking and monitoring coal gas utilization rate. The method comprises the steps of 1 data collecting and processing; 2 infrared imagery processing; 3 temperature field calibration; 4 coal gas flow center dynamic tracking; 5 coal gas utilization rate monitoring. The method has the advantages that implementation is easy, temperature field calibration is achieved through the treatment on the collected infrared imagery combining crossed thermometry data and blast furnace design data, dynamic tracking on charge-level coal gas flow center fall point distribution is achieved, the coal gas flow center distribution characteristics and the corresponding coal gas utilization rates are classified, the relation between the coal gas center change and the blast furnace coal gas utilization rate is confirmed, real-time monitoring on the coal gas utilization rate is realized, the dynamic changing condition of the coal gas flow center and the relation between the dynamic changing condition of the coal gas flow center and the corresponding coal gas utilization rate can be recognized timely and accurately, on-line monitoring and visual control on the burden distribution operation of the blast furnace are achieved, and the advantages of being high in accuracy rate and strong in real-time performance are achieved.

The present invention is system and method of dynamically positioning and tracking miniature device inside body. The system includes permanent magnet fixed onto the device inside body, at least three magnetic field sensor units fixed outside body, signal processing, A / D converting and calculating unit wired or radio connected to the magnetic field sensor units, and output device to display the motion locus of the device inside body. The present invention realizes the dynamical positioning and tracking via detecting the strength of magnetic field the device inside body produces, processing and converting detected signal, calculating the spatial coordinates of the permanent magnet inside body based on magnetic dipole model and relevant calculation formula, determining the position of the miniature device continuously and display the 3D motion locus of the miniature device. The present invention is used for check of patient.

The invention discloses a DOA estimation method in a co-prime array based on iteration sparse reconstruction. A receiving antenna array uses a nonlinear co-prime array, through vectorized processing on a second-order statistical characteristic covariance matrix of a received signal, and a difference array in larger aperture length can be determined, so as to improve detection capability. Dispersing processing is performed on the angle domain where targets are in, targets can be regarded as sparsely distributed on grid points or near grid points, and sparse signal reconstruction problems on logarithm and forms are established. Using convex compact upper bounds of logarithm and a function, an original sparse problem is reestablished, to dynamically adjust and update discrete points of the angle domain in an iterative manner, so approach the actual arrival angle of the target.

The invention provides a digital system for an unmanned chain bucket type continuous ship unloader. The digital system comprises a production scheduling management module, a scanning recognition module, a decision analysis module and a control execution module. The production scheduling management module is arranged on a wharf control room or the continuous ship unloader, and comprises a data processing server and a human-machine interactive interface; the scanning recognition module is arranged on the continuous ship unloader, and comprises a laser scanning device, a position detection deviceand an application processing server; the decision analysis module is arranged on the continuous ship unloader, and comprises a decision processing controller; and the control execution module is arranged on the continuous ship unloader, and comprises a PLC, a frequency converter and a camera. According to the digital system, the unmanned operation of the bulk cargo wharf chain bucket type continuous ship unloader can be achieved, and the real-time performance of data processing of the continuous ship unloader is ensured, so that the safety of a material fetching head to enter and exit from acabin is ensured. The number of operators is reduced, and the labor cost is decreased.

The application relates to the examining field of gene mutation and particularly relates to a PCR micro droplet kit for examining human EGFR gene mutation. The kit includes a nucleic acid amplification reagent; a reference substance and micro droplet PCR generated oil. The nucleic acid amplification reagent includes a primer and a probe for examining the No. 18 extron mutant, a primer and a probe for examining the No. 19 extron mutant, a primer and a probe for examining the No. 20 extron mutant, and a primer and a probe for examining the No. 21 extron mutant. The present application can be used for examining the seven species of the No. 18, 19, 20, and 21 extron mutants for the EGFR genes in the DNAs extracted from the paraffin-embedded pathology tissue slices and the peripheral blood dissociate DNAs. The present application provides a reference for the patients to choose the tumor molecularly targeted drug remedy and monitor. The present invention has absolute ration, high specificity, accuracy and high sensitivity.

A pre-alarm device of automobile driver fatigue-driving in active mode consists of the first signal collection unit for collecting steering wheel state, the second signal collection unit for collecting pulse signal of speed mileage, an alarm control unit for presetting alarm time reference and for receiving signals collected by two said signal collection units as well as for outputting alarm signal according to received signals, and an output alarm unit for making alarm according to alarm signal of alarm control unit.

The invention relates to a cornea center positioning method for excimer laser cornea refractive surgery. In the method, a horizontal offset model and a vertical offset model are established by measuring the pupillary diameter and the offset of the pupillary center relative to the center of the corneal vertex under different luminance brightness, and the data of the established models is input into a laser cornea refractive surgery machine with an eye tracking system, so the pupil in the laser cornea refractive surgery is dynamically tracked, the error of the tracking system is reduced, and the visual quality after the laser cornea refractive surgery is obviously improved.

The invention provides a kit and method for detecting the mutation of an EGFR gene and particularly discloses a method, a primer and a probe for detecting the mutation of the EGFR gene, a kit including prime probe mixing liquid, a primer and a probe for detecting the mutation of a C797S locus, a primer and a probe for detecting the mutation of a T790M locus, a primer and a probe for detecting themutation of a 19del locus and a primer and a probe for detecting the mutation of a L858 locus. According to the method provided by the invention, 0.1% mutation rate can be detected based on a digitalPCR platform; and the method has the advantages that the optimization process is simple, much detected mutation types can be detected, the absolute quantification is realized, the sensitivity is high,samples are easily acquired, and the like.

The invention discloses a target tracking method based on feature point matching. The method comprises the steps that a video is decomposed according to image frames to obtain an image frame sequence; feature point information of a target in a first image frame of the image frame sequence is acquired; shape information and location information of the target in the remnant image frames of the image frame sequence are determined according to the feature point information.

The invention relates to a full-automatic hand-eye calibration and working plane calibration method and device. The method comprises the following steps that automatic exposure is conducted, so that acalibration plate can be recognized; the pose of a mechanical arm and calibration plate image data are acquired, and the next pose of the mechanical arm is calculated through an automatic path planning method; and whether there are at least nine calibration plate images covering the entire image view is determined, if not, the pose and calibration plate images are continuously collected, otherwise, according to the pose data, the calibration plate image data, a hand-eye relation matrix is calculated, meanwhile, camera internal parameters and a current working plane are calibrated, and re-projection errors of the calibration results are given. Compared with the prior art, one-button automatic hand-eye calibration and working plane calibration are achieved, manual intervention in the calibration process is reduced, the calibration accuracy can be effectively improved, the calibration re-projection errors are given, evaluation of the calibration results is more clear, operation is simpleand convenient, and the problems existing in the prior art are effectively solved.

The invention discloses a method for dynamically tracking a program running state. The method comprises the following steps of: receiving a user instruction, determining state information to be monitored, and identifying the state information; acquiring the state information, and analyzing and detecting the state information; and judging the program running state according to the analysis and detection result, and if the program running state is abnormal, determining the abnormal position according to the identifier. In the method for dynamically tracking the program running state provided by the embodiment of the invention, the running state of a system can be dynamically tracked, the running state information can be acquired and analyzed, whether the running state of the system is good is judged according to the analysis result, and when the system running state is abnormal, the abnormal position can be accurately positioned.

A recursive least squares adaptive-filtering near-infrared brain function signal extraction method based on a multi-distance measurement method relates to a brain function signal extraction method and aims at resolving the problem that adaptive filtering cannot effectively eliminate various physiological interferences, and external equipment is required. The recursive least squares adaptive-filtering near-infrared brain function signal extraction method comprises the following steps of arranging a near-infrared probe formed by a double-wavelength light source S, a detector D1 and a detector D2 in brain tissue scalp to be detected to acquire optical density variation quantity; using the correction Lambert-beer's law to acquire oxyhemoglobin concentration variation quantity and reduced hemoglobin concentration variation quantity measured by the light source S and the detectors; constructing adaptive-filtering brain function signal function; and using the least squares estimation criterion to solve and optimize coefficient vector of a filter to further solve brain function motion signals. The recursive least squares adaptive-filtering near-infrared brain function signal extraction method based on the multi-distance measurement method is used for extracting brain function motion signals and effectively eliminates various physiological interferences without external equipment.

The invention relates to a self-adaptive control system of a photovoltaic network. The self-adaptive control system comprises an information collection subsystem for collecting the working parameters and operating state of each node of a photovoltaic miniature electricity grid, a network communication subsystem for carrying out data transmission, command conveyance and conversation interaction, and a system monitoring subsystem for controlling and managing each node and simultaneously taking charge of the operating coordination work of the integral photovoltaic miniature electricity grid, wherein the information collection subsystem comprises a node data collection module, a node state control module and a node network middleware module; the network communication subsystem comprises a node interconnected control module and a data and control information transmission module; and the system monitoring subsystem comprises a monitoring center network middleware module and a user monitoring and management module. The self-adaptive control system can reasonably allocate contact working task dynamic allocation, effectively eliminates interlinking conflict and realizes good synergic management and control.

The invention discloses an echo delay estimating and tracking method. According to the method, the echo delay is estimated based on embedding / detection of marking tone in an SVM classifier, thereby simplifying the audio feature extraction process, meanwhile the position and the amplitude of the embedded marking tone are controlled by using a psychoacoustic model based on human ear auditory masking effect so as to avoid auditory distortion after embedding and maximally guarantee the integrity and accuracy of original remote signals, in addition, the embedding program and the detection program of the marking tone are alternately executed, for each embedded and detected marking tone, range verification is executed, and the echo delay is updated according to the detection result, thereby realizing dynamic tracking of the echo delay, compared with the traditional cross-correlation algorithm, the echo delay estimating and tracking method has the advantages of high real-time performance, strong robustness and low computational complexity, and the method does not depend on the background noise or the independence assumption of the remote signal, and has higher reliability.

This application discloses a method for prejudging the real-time placement of a badminton ball. The method is applied to a badminton robot, and the badminton robot comprises a camera; the method for prejudging the real-time placement of the badminton ball comprises the steps of obtaining a color image and a depth image of the badminton ball through the camera in real time; calculating first coordinates of the badminton ball in a camera coordinate system according to the color image and the depth image; utilizing the first coordinates and position and posture coordinates to calculate second coordinates of the badminton ball in a world coordinate system, wherein the position and posture coordinates are position and posture coordinates obtained in advance of the badminton robot in the world coordinate system; utilizing the second coordinates and an aerodynamic model of the badminton ball to calculate placement coordinates of the badminton ball in the world coordinate system. According tothe method, by installing the camera on the badminton robot body, the adaptability of the badminton robot to the environment is improved. Accordingly, the invention further discloses a platform and device for prejudging the real-time placement of the badminton ball. The platform and device also have the advantages above.

The embodiment of the invention discloses a system, method and device for measuring tilt amount of a GNSS receiver, wherein the system comprises an inertial measurement unit, a GNSS receiver, a processor and a centering rod, wherein the inertial measurement unit is used for measuring first attitude information of the GNSS receiver; the GNSS receiver is used for measuring first position information; and the processor is used for calculating second position information and second attitude information according to received data by adopting an inertial navigation mechanical arrangement algorithm and a Kalman filtering algorithm. According to the technical scheme of the embodiment of the invention, the attitude information and the position information are respectively acquired by the inertial measurement unit and the GNSS receiver, the position, speed and attitude of the GNSS receiver are estimated by using the inertial navigation mechanical arrangement algorithm, and the estimation resultis corrected by using the Kalman filtering algorithm to calculate the measurement error feedback, so that the acquisition precision of the GNSS receiver is improved, and the dynamic tracking of the attitude, speed and position is achieved.

The invention discloses a virtual picture scroll display method, a device and equipment and a storage medium, and relates to the field of computers. The method comprises the following steps: drawing afirst scene picture in a first rendering texture map, wherein the first scene picture is obtained by shooting a virtual scene by a first virtual camera; displaying a first rendering texture map in avirtual scroll, wherein the virtual scroll is used for level display in a scroll form; drawing a second scene picture in a second rendering texture map in response to the received checkpoint propulsion signal, the second scene picture being obtained by shooting the virtual scene by a second virtual camera; replacing the first rendering texture map in the virtual scroll with the second rendering texture map; wherein when the virtual object in the view finding range corresponding to the virtual camera in the virtual scene is changed, the scene picture drawn in the rendering texture map is changed. By adopting the scheme provided by the embodiment of the invention, the content richness of the displayed picture in the virtual picture scroll can be improved, and the display form is enriched.

The invention discloses an automatic control system for ozone generation and water treatment. The system adopts the information technology and the automatic control technology to automatically detect the operation conditions and automatically adjust the operation parameters of each equipment in the whole system through automatic equipment, such as a programmable logic controller PLC, a sensor, a frequency converter, a water treatment technology index (such as ozone concentration or sewage COD (Chemical Oxygen Demand) and the like) online detection instrument and the like, so that the optimal adjustment for various working conditions is achieved, the product quality is guaranteed, the energy is saved, and the manual operation is reduced.

The invention discloses a public security video monitoring image processing method based on data mining. The method includes: acquiring each frame of image data including time information and positioninformation of a moving object; extracting image features by using a mining technique; subjecting the image features to similarity matching and packing and numbering the data frames of successful similarity matching; comparing and verifying the image features with the same number, and associating the image features with a public security target database; and splicing and restoring each set of feature data frames with the same number to the image in a corresponding video background. The method first performs image data mining, then packs and numbers the images with the same image feature, verifies the features, associates the images with the public security target database, and restores the matched suspect target feature image to the corresponding video, thereby determining the target tendency according to the time and the location of the suspect target in different video monitoring devices, achieving the dynamic tracking of precise image features, and improving the efficiency of public security search tracking.

The invention discloses a multi-target three-dimensional dynamic tracking method of loose parts of a nuclear power plant. The multi-target three-dimensional dynamic tracking method comprises the following steps: step (1), establishing a database; step (2), carrying out three-dimensional virtual modeling; step (3), acquiring field signals of the loose parts; step (4), positioning the loose parts; step (5), estimating the quality of the loose parts; and step (6), dynamically tracking and displaying. The signals of the loose parts can be periodically acquired through an acceleration transducer; and after the loose parts are subjected to positioning and quality estimation, the loose parts are dynamically tracked by utilizing a three-dimensional visualization technology, and thus evidences are provided for expert diagnosis and breakdown maintenance. The multi-target three-dimensional dynamic tracking method has the advantages of strong anti-noise capability, high positioning precision and small quality estimation errors, and can be used for simultaneously tracking a plurality of loose part targets.

The invention relates to a method for processing a spiral line interpolation of a three-dimensional cutting edge contour, comprising the following steps: (1) inputting a geometric solid and setting processing parameters; (2) calculating X and Y coordinates and carrying out a high-precision linear arc interpolation; calculating an axial Z coordinate and carrying out a low-precision linear interpolation; (3) checking whether the Z coordinate corresponding to the X and Y coordinates can be satisfied with conditions of the height of the cutting edge, the length of the cutting edge and the collet noninterference or not, and adjusting the Z coordinate to a reasonable value if the Z coordinate is not satisfied with the conditions; (4) combining the adjusted Z coordinate with the corresponding linear arc interpolation X and Y coordinates to generate a spiral line interpolation tool path. The invention has the advantage of dynamically tracking the three-dimensional shape of the cutting edge and both realizing the three-dimensional automatic numerical control process for the contour of the cutting edge and efficient automatic numerical control process for the cutting edge.