176results about How to "Strong real-time" patented technology

The invention relates to a test platform of a driver active safety early warning system. The test platform comprises a data acquisition unit, a test working condition database, an offline analysis unit and an analysis report unit, wherein the offline analysis unit comprises an offline analysis playback sub-unit and an offline analysis judging sub-unit; the data acquisition unit acquires road environment video information and vehicle state information at different moments in the running process of an experimental vehicle in real time, and sends all of the information and stores in the test working condition database; the offline analysis playback sub-unit extracts a sample and sends the sample to a system to be tested; the system to be tested generates an early warning system in a simulation environment; the offline analysis playback sub-unit sends the early warning signal and the sample corresponding to the early warning signal to the offline analysis judging sub-unit; the offline analysis judging sub-unit analyzes the road environment video information, the vehicle state information and the early warning signal and judges to generate a judgment result, and sends the judgment result to the analysis report unit; and the analysis report unit generates lines and a document. The test platform provided by the invention can be widely applied to the test of various automobile alarm systems.

The invention discloses a land subsidence monitoring and early warning system based on global position system (GPS) and hydrostatic leveling and belongs to the field of geological disaster monitoring and early warning. The system comprises a monitoring station, a base station and a monitoring and early warning center which are distributed, wherein a GPS receiver in the monitoring station and a datum point in a hydrostatic leveling system are mounted on a same observation pillar; the GPS receiver transmits received satellite observation data to the monitoring and early warning center; a data acquisition unit acquires monitoring data of a hydrostatic leveling instrument and transmits the data to the monitoring and early warning center; the GPS receiver in the base station receives the satellite observation data of a stable area point of the base station and transmits the data to the monitoring and early warning center; and the monitoring and early warning center receives the information transmitted by the monitoring station and the base station and processes and analyzes the data. According to the system, the problem that the monitoring point subsidence amount is inaccurate in measurement after a stable datum point is unavailable or the datum point is subsided in a measuring process of the hydrostatic leveling system can be solved, and a high-precision land subsidence value is acquired in real time.

The invention discloses a method and a system for splicing images of unmanned aircrafts in real time. The method and the system mainly solve the problem of poor image splicing real-time performance or obvious splicing traces in the prior art. The method includes a training stage: acquiring training images before the unmanned aircrafts execute tasks, extracting local features of the training images and building vocabulary trees; an online stage: acquiring practical earth observation images when the unmanned aircrafts execute the tasks, extracting local features of the images, retrieving the vocabulary trees to quickly search spatially adjacent images, matching the spatially adjacent images, computing transformation relations among the images, splicing the images according to the transformation relations and removing splicing joints. The method and the system have the advantages that the images of the unmanned aircrafts can be spliced by the aid of the method and the system, and broad vision field ranges can be provided for users; the method and the system are high in real-time performance and good in splicing effect, and requirements of application places in multiple fields can be met.

The invention discloses a thermal error measuring and integrating system for a numerical control machine tool. The thermal error measuring and integrating system is characterized by comprising a temperature measuring unit, a thermal displacement measuring unit, an industrial control machine and a display unit, wherein the industrial control machine is used for carrying out real-time staged modeling by using a thermal error function according to temperature detection data and thermal displacement deformation detection data which are saved in real time, carrying out precision evaluation on the temperature detection data and the thermal displacement deformation detection data and judging the stability and the precision of a model. The thermal error measuring and integrating system has low cost and high precision, is simple and practical and provides a support of an experimental device for thermal error compensation research and application of the numerical control machine tool.

The invention discloses a gas transmission pipeline leakage detection system based on an acoustic method. The gas transmission pipeline leakage detection system comprises a user terminal, a cloud server and a plurality of detection sections, wherein the detection sections are arranged along a gas transmission pipeline; two low-frequency acoustic wave sensors, two temperature sensors, two density sensors, two pressure sensors and two digital network transmission instruments are arranged in each detection section. The gas transmission pipeline leakage detection system is high in real-time performance, high in sensitivity, high in adaptability, short in response time and high in positioning accuracy, and is capable of achieving all-day, real-time and different-area detection, positioning leakage positions and determining diameter size and shape of leakage holes.

The invention provides a traffic behavior analysis system, which comprises a video acquisition module, a vehicle detection module, a vehicle tracking module, a vehicle trajectory extraction module, a vehicle behavior analysis module, a license plate recognition module, a vehicle information description module and a communication module. The traffic behavior analysis system acquires a traffic video image from a traffic monitoring scene, detects a vehicle target in the acquired traffic video image, performing movement tracking on the vehicle target to obtain information such as the trajectory and the speed of the vehicle target, analyzes behaviors of the vehicle target according to the obtained information, judges whether the vehicle target has behaviors such as illegal lane changing, speed limit exceeding, wrong-direction running and illegal turning, acquires license plate information of the regulation breaking vehicle in real time and sends regulation breaking video and vehicle information of the vehicle target to a management center in real time. The traffic behavior analysis system is high in real-time performance, high in recognition accuracy and capable of effectively performing traffic monitoring round the clock.

The embodiment of the invention relates to a communication method, transmitting equipment and a system for 3D video. The method comprises the steps of: acquiring video image data of a scene acquired by an image acquisition device, wherein the video image data comprises at least one depth map and at least two color maps; and performing encode processing on the video image data and then transmittingthe video image data. The system comprises the transmitting equipment and receiving equipment, wherein the transmitting equipment can acquire at least one depth map and at least two color maps of thescene through the image acquisition device; the acquired depth map is accurate and reliable, and the acquisition of video images has stronger real-time performance; and the receiving equipment can mend reconstructed images by using the multiple acquired color maps during viewpoint reconstruction, thereby improving the reconstruction effect of the images and having stronger practicability and real-time performance.

The invention discloses a non-uniformity correction method and apparatus for an infrared image. The non-uniformity correction method for the infrared image comprises the steps of obtaining a to-be-corrected image; removing overheated pixels with fixed positions in the obtained to-be-corrected image, and performing blind pixel compensation by adopting a neighborhood pixel value replacement method to obtain a first image; obtaining pure sky images of two different elevation angles as two temperature point images, obtaining a gain coefficient and a bias coefficient, and performing two-point method correction of a gradient sky background on the first image to obtain a second image; and removing residual noise points for the second image through a gain coefficient correction method and a bias coefficient correction method to obtain a third image. The invention furthermore discloses the non-uniformity correction apparatus for the infrared image.

The invention provides a distributed stream-oriented computation based spatial data processing method and system. A message queue of Kafka is established and used for real-time monitor, so that when data are stored in the message queue, Kafka can timely draw the monitored data, further, the data are processed in real time, and the real-time performance of data processing is realized. Besides, data are stored in a database and are further backed up, and the processed data can be updated to the database after the data are processed, so that the data in the database are updated. Real-time computation of geospatial big data is realized through distributed stream-oriented computation, and the method and system can support development and application of geospatial data with high real-time performance.

The invention provides a method of real-time simulation on SAR (synthetic aperture radar) echo. The method includes the steps of acquiring coordinates of radar and coordinates of obstacle scattering points during a pulse repetition period; calculating the distances between the radar and the scattering points according to the radar coordinates and the scattering point coordinates; calculating retardation values, phase values and amplitude values according to the distances; acquiring impulse response of each scattering point according to the retardation values, the phase values and the amplitude valves calculated according to the distances; and acquiring a response function according to the impulse response of each scattering point and convolving the response function to obtain an echo signal. Echo signals of a body target or area target are provided for the SAR in a closed-loop simulation system by high-performance computing power of an FPGA (field programmable gate array) hardware platform according to the pulse repetition period and echo retardation of the radar in actual operation. In addition, hard timeliness and low latency are achieved through a high-parallelism computing architecture, each computing unit uses a programmable serial mode internally, and accordingly flexibility is improved.

The invention provides a dynamic track based spectrum resource allocation method for UAV (unmanned aerial vehicle) groups. N UAV groups reconnoiter a specific mission area according to given tracks and perform intra-group communication in real time, and the purpose of maximization of network communication utility is achieved by reasonable allocation of spectrum of the UAV groups. The method comprises the following steps: a real-time spectrum allocation problem of the UAV groups based on interference cancellation is modeled into a potential energy game model, wherein game participants are the NUAV groups participating in the reconnaissance mission; an action set of each of the UAV groups is defined as a selectable spectrum resource, and other UAV groups are divided into neighboring UAV groups and non-neighboring UAV groups according to the distance between the other UAV groups and the UAV group, network utility and communication utility of the UAV groups are obtained, and a utility function of the UAV groups is further defined; and potential energy game is computed by a channel maintenance based parallel optimal response algorithm, so that the UAV groups access the optimal channelfor intra-group communication.

The invention discloses an orthogonal double grating based synchronous phase shifting common-path interference microscopy detection device and a detection method, and belongs to the technical field of optical interfering detection. The invention solves problems of complexity in processing process of detection data and low measurement accuracy in existing synchronous phase shifting interference microscopy detection methods. The method integrates the interfering microscopy technology with the orthogonal double grating common-path synchronous phase shifting technology, linear polarization parallel light after collimation and beam expansion is divided into object light and reference light by a first polarized beam splitter prism and a second polarized beam splitter prism to be ultimately converged at a rectangular window side-by-side, a computer obtains an interference figure containing four patterns by collection, and phase distribution of an object to be detected is obtained by calculating according to strength distribution of the four interference patterns. The orthogonal double grating based synchronous phase shifting common-path interference microscopy detection device and the detection method are suitable for measurement of three-dimensional shape and phase distribution of micro-objects.

The present invention relates to the field of real-time monitoring management system technology. In particular, it relates to a line equipment patrol inspection real-time management system includes line inspection terminal machine with GPS information, coded information up-reporting function and talking function and PC machine or server, the line inspection terminal machine is connected with PC machine or server by means of wireless communication network, in the PC machine or server the line equipment patrol inspection real-time management software is mounted. Said invention also provides its extensive application fields.

The invention discloses a real-time urban population density and crowd flowing estimation method based on a smart phone. Bluetooth (or Wi-Fi) signals sent by adjacent measured mobile phones are scanned by a measuring mobile phone, and MAC addresses, signal intensity and timestamp information of the measured mobile phones are acquired; then data of an accelerometer, a gyroscope and a GPS sensor of the measuring mobile phone and position information of the measuring mobile phone are combined and are packaged to be sent to a central server so as to carry out statistics on the Bluetooth (or Wi-Fi) user number and distribution, and on the basis, population distribution in different regions of a city is determined; and then by combining an urban geographical structure, an urban population density distribution and urban crowd flowing map is generated.

The invention discloses a method for collecting and storing stock data based on a cloud computing technology. The method comprises the following steps: obtaining a plurality of stock codes; generating a corresponding URL (uniform resource locator) list file for each stock code; setting fragment size of a Hadoop distributed file system of a cloud computing platform; storing the URL list file into the Hadoop distributed file system; receiving a stock data collecting request submitted by a user; resolving the stock data collecting request into corresponding quantity of Map tasks according to the quantity of the file fragments; assigning the resolved Map tasks to a slave server on which corresponding fragments are located to carry out; transmitting an Http (hyper text transport protocol) data request to a remote stock data server from a server according to the resolved Map tasks; returning the stock data by the remote stock data server; and analyzing the stock data according to the resolved Map tasks, wherein compiling of analysis function program abides by structure description of a remote stock server on the stock data. The method is simple to develop and good in data structure expansibility, and rapid collection of the stock data can be achieved.

The invention relates to a method for detecting operation troubles of a mine hoist. The method comprises the following steps of: axially arranging a wireless stress sensor on a hoisting sheave shaft or a guide wheel shaft, wherein the wireless stress sensor is used for acquiring a stress-strain signal on the shaft and transmitting the stress-strain signal to an industrial personal computer through a wireless signal receiving device; identifying peaks and troughs of the stress-strain signal to acquire a real-time hoisting speed curve and a hoisting container depth curve by a mine hoist operation trouble detection module in the industrial personal computer, simultaneously converting the stress-strain signal according to a corresponding relationship between the stress-strain signal and a hoisting load to acquire a real-time hoisting load curve; and judging whether phenomena such as over-winding, over-unwinding, slipping, cage clamping, rope releasing, overloading and the like exist or not by combining the hoisting speed curve given by the hoist, rated load and the reading of a depth indicating meter on the basis of the acquired three real-time curves. The method has the advantages ofsimple required hardware equipment, high reliability, high anti-interference performance, high real time property and capacity of detecting various troubles simultaneously.

The invention relates to a real-time vehicle trajectory data-based intersection flow estimation method. The method includes the following steps that: 1) a research period [0, T] is divided into a plurality of consecutive basic time intervals, and the basic time intervals are classified; 2) a vehicle departure time likelihood function is calculated according to vehicle departure time condition probabilities corresponding to different basic time interval types under a given arrival time condition on the basis of the classified basic time intervals, and a final likelihood function is calculated;and 3) the vehicle departure time likelihood function is solved, so that vehicle arrival rates in the basic time intervals can be obtained. Compared with the prior art, the method of the invention canadapt to low-sampling frequency and low-sampling rate data environments and does not need the fusion of historical data. The method has the advantages of high robustness, high real-time performance,high accuracy and the like.

The invention relates to a blue license plate segmentation and correction method. The method comprises the following steps of: 1, for a license plate coarse positioning image, constructing a combinedimage by adopting an R channel image of an RGB channel and a V channel image of an HSV color space to obtain a blue region binary image of a highlighted license plate blue region, and fusing the blueregion binary image with a white region binary image of a highlighted license plate white character region to obtain a double-region fusion binary image; 2, performing edge detection on the double-region fusion binary image, obtaining a license plate region external contour binary image on the basis, performing probability Hough transform on the license plate region external contour binary image,fitting a contour line segment, and further positioning a license plate corner point; and 3, after the license plate corner points are obtained, performing perspective transformation on the original license plate image to obtain a corrected license plate image. The method can quickly and accurately correct the license plate under complex conditions, and improves the license plate recognition rate.

An embodiment of the invention provides a deadlock conflict management method and system for multiple mobile robots and belongs to the field of robots. The method comprises: acquiring a current position and planned path of each mobile robot; allocating node areas adjacent to the positions of the mobile robots; when the node area allocated to the second mobile robot coincide with the node area allocated to the first mobile robot, marking the node areas that are in coincidence as conflicting node areas that are in conflict state; judging whether a direction where a first planned path of the first mobile robot passes through the conflicting node areas is exactly opposite to a direction where a second planned path of the second mobile robot passes through the conflicting node areas; if yes, determining that the first mobile robot and the second mobile robot are in mutual deadlock state. Therefore, mutual deadlock conflict is detected based on node resource allocation and path analysis; consumption of processor resources is low; the method and system are of good timeliness.

The invention relates to a klaxon control method. A klaxon primary sound pressure level stabilization control method comprises that: firstly, a power supply voltage is detected by utilizing an analogue-to-digital conversion function of a singlechip; secondly, the singlechip determines the duty ratio of a current klaxon drive signal according to corresponding relationships between detected power supply voltage values and the duty ratios of klaxon drive signals, and adopts a natural frequency value of a klaxon stored in the singlechip or a nonvolatile data memory as the frequency of the current klaxon drive signal; and finally, the singlechip outputs the klaxon drive signal which is subjected to power amplification to drive the klaxon to work and is a square signal. The invention provides the klaxon primary sound pressure level stabilization control method through which a sound pressure level can be automatically stabilized, and a klaxon intelligent control method with the advantages of environmentally-friendly sound-production function and capability of automatically adjusting drive frequency in real time and automatically stabilizing the sound pressure level.

The invention relates to a medical and industrial X-ray real-time stereoscopic imaging device, and belongs to the technical field of ray imaging equipment. The device comprises an X-ray source, an X-ray image sensor, a computer, a stereoscopic display and an X-ray machine stand, wherein the X-ray source has double viewing angles and can rapidly alternately emits X rays of double viewing angles; the X-ray image sensor is used for receiving X-ray images and realizing digitization; the computer can synchronously acquire images of left and right eyes and perform stereoscopic processing; the stereoscopic display is used for observing stereoscopic images; and the X-ray machine stand makes the X-ray source and the X-ray image sensor move or rotate in certain distance. The imaging device can display a three-dimensional perspective image of a human body or an object in real time during operation and perform three-dimensional positioning on organs and surgical instruments through a three-dimensional coordinate and a three-dimensional mouse, and also can display an X-ray three-dimensional image and the three-dimensional positioning of inner components of a tested object in real time in nondestructive testing or explosion-proof security. The imaging device has the advantages of high real-time, low cost and low exposure dose.

The embodiment of the invention provides a log file uploading method and a log file uploading device. The method comprises the steps of detecting whether a log file uploading requirement exists, wherein the uploading requirement is triggered by a message pushed by a server or abnormity in running of a terminal program; if the uploading requirement exists, acquiring a target identifier of a target application of the log file to be uploaded; acquiring a log file of the target application according to the target identifier; and uploading the log file to the server, thus allowing the server to analyze and process the log file. According to the method and the device provided by the embodiment of the invention, the log file of the target application can be uploaded to the server in time, and strong instantaneity is achieved.

The invention discloses a method for measuring shape of a material pile after material-taking in a contact form. The method comprises the following steps: before firstly obtaining a shape data of a to-be-measured material pile, at least taking material for one time from the whole top surface of the material pile by using an arm type bucket-wheel material-taking machine, thereby generating three-dimensional data of the shape of the remained material pile; while calculating the shape of the material pile after the subsequent material-taking, updating the three-dimensional data on the surface of the material pile in the material-taking position; and while material-taking, measuring the shape of the material pile. The measurement is performed while the material is taken; the measurement is quick; the instantaneity is strong; the contact type measurement is adopted and the measurement is free from influence of external environment; the measuring accuracy is high; and the application prospect is excellent.

The invention provides a fisheye image correction method based on changed long axis ellipse fitting. A changed long axis ellipse fitting correction model is built, the model is based on a longitude and latitude mapping correction algorithm, a longitude long axis parameter and a latitude long axis parameter are adjusted at the same time, and a finial changed long axis ellipse fitting correction model is obtained; according to coordinates of pixels of a fisheye image, through the changed long axis ellipse fitting correction model, corresponding pixel coordinates of the fisheye image under pixel coordinates are obtained, and a fisheye correction image is obtained. The mapping conditions of the pixels are recorded in the full correction process through a table mapping method, and the final correction image is obtained. The fisheye image correction method based on changed long axis ellipse fitting has the advantages of being simple in algorithm and high in real-time performance, and enables the transplanting of an embedded type device and a mobile device to be easy.

This invention discloses one method to realize abnormal judgment and dynamic alarming, which comprises the following steps: customer end alarming parameter setting step; setting control pattern judgment rules and trend top and down limit and selecting alarming type; abnormal judging and processing real time analyzing and abnormal judging on collection spot real data; alarming step to receive abnormal information and distributing alarm information.

The invention relates to a parallel friend recommendation system and method capable of serving on basis of geographic positions. The adoption of the system and the method is beneficial to adaptation to changes in geographic positions of users so as to meet the real-time requirement of the geographic positions of friend recommendation. The system is characterized by comprising a position information acquisition module, a network modeling module and a parallel computation module, wherein the position information acquisition module is used for acquiring real-time position information and taking the position information and time stamps as attribute index values of users; the network modeling module is used for establishing a user network model according to the position information and the time stamps as well as other static information; and by adopting a distributed parallel computation device or parallel computation device in any other form, the parallel computation module computes friend intimacy on the basis of the user network model and recommends friends according to the friend intimacy.

The invention discloses a fault monitoring system for overhead power distribution lines, which comprises a main station, one or more sub-stations connected to the main station, and each sub-station is connected with three fault detectors, and the three fault detectors are respectively connected to three In the phase circuit; the fault detector judges whether the measured line is initially faulty according to the detection signal; the substation synthesizes the preliminary fault information of the three-phase fault detector to determine the final fault information; the master station stores the topology structure of the entire overhead distribution line , display the final fault and fault type, and give an alarm. The invention has the characteristics of strong real-time performance, resource saving and the like, and can be widely used in power distribution lines.

The invention provides a monitoring method and system of a burning object. The method includes: acquiring image information of each image acquisition point in a monitoring area; performing image processing on the image information to obtain a two-dimensional coordinate of an ignition source in an image; and obtaining a three-dimensional coordinate of the ignition point through space positioning according to the two-dimensional coordinate of the ignition point and space coordinates of the acquisition points. According to the method and system, accurate segmentation and positioning of waste burning in a non-structural environment can be realized; the method and system can be combined with the conventional monitoring system, and the space three-dimensional coordinate of a target object is obtained through conversion of the space coordinate of a set monocular camera and the coordinate of the ignition point in the acquired image information; besides, the timeliness is high, the positioningof a target point is accurate, illegal images can be captured in real time, accurate positioning of the space positions of illegal burning points can be realized, law enforcement evidences are provided for law enforcement, related departments can perform real-time monitoring and accurate law enforcement, and the improvement of the quality of the atmospheric environment is facilitated.

The invention discloses a sliding mode-based hydro turbine governing system dead zone nonlinear compensation method in the technical field of hydro turbine control. The method comprises the following steps of: constructing a state space model for a hydro turbine governing system, and introducing an additional state variable; designing a sliding mode governor, and making an ideal hydro turbine governing system approximately stable by regulating the controlling quantity of the sliding mode governor; and designing a dead zone nonlinear compensator to compensate dead zone nonlinearity of an actual hydro turbine governing system. By the method, the automation level of the hydro turbine governing system is improved, the safety of a set is improved, the mechanical wear of the set is reduced, the equipment maintenance cost is reduced, and the economic performance of a hydro electric generating set is improved.

The invention discloses a steering wheel angle correction method and device, and the method comprises the steps: collecting a first angle signal through a steering wheel angle module, and storing thefirst angle signal in a first angle module; collecting vehicle working conditions, judging whether the vehicle runs linearly or not according to the vehicle working conditions, if yes, collecting a second angle signal through the steering wheel angle module, storing the second angle signal in a second angle module, and if not, continuing to collect the vehicle working conditions; calculating the second angle signal and the first angle signal through a motor control module, and calculating a system return value. The method has the advantages that the straight driving state of the vehicle can bedynamically measured, the steering wheel angle signal is recalculated, and the straight driving capacity determined by the vehicle is guaranteed.