161results about How to "High speed acquisition" patented technology

The invention discloses a three-dimensional human body gait quantitative analysis system and method. The method comprises the following steps of: simultaneously using two inertia measurement nodes on feet, carrying out analyses fusion on the data of the two inertia measurement nodes, measuring a more accurate gait parameter, and obtaining information which can not be measured in a single-foot manner; and firstly storing the collected data in storage units of the measurement nodes in a walking process, and finally transmitting the collected data to an analytical calculation device in a wired or wireless manner after the walking process is ended. The high-speed acquisition of all gait information in the walking process can be realized and no characteristic gait information point is omitted. A foot part binding device of the designed inertia measurement node is adopted, a measuring error brought by fixed position shift of the measurement nodes in the walking process is eliminated, and the identity of fixed positions of the measurement nodes in a walking process is guaranteed through repeated measurement; and a gait analytical calculation program module adopts a moving window searching value method to definition a characteristic point of gait information, and can more exactly extract the gait diagnostic information.

A data remote collection system of vehicle CAN bus is prepared as using mobile communication module to carry out data interaction with central server and microprocessor, using microprocessor to control CAN controller and storage both being connected with said microprocessor, connecting CAN controller to CAN transceiver for obtaining data on CAN bus. Its data collecting method is also disclosed.

The present invention discloses a shield tunneling method apparent quality method. The method comprises the following steps: (1) obtaining point cloud data in real time through laser scanning of a tunnel segment entity; (2) generating a tunnel entity point cloud data model according to the point cloud data; (3) comparing the tunnel center of a tunnel entity point cloud model with a tunnel design BIM model center to obtain a tunnel center line deviation value; (4) obtaining a slab staggering value according to the tunnel entity point cloud model; (5) calculating and obtaining an ovality according to the tunnel entity point cloud model; (6) performing disease analysis of the tunnel entity point cloud model, wherein the disease analysis comprises disease area identification, disease category determination and disease numerical calculation; and (7) determining a detection numerical value and evaluating the tunnel apparent quality state according to a preset apparent quality evaluation standard. The shield tunneling method apparent quality method and system can rapidly obtain the three-dimensional coordinate data of the surface of a measured object in large-area and high-resolution and rapidly and largely collect space spot location information with high efficiency and high precision.

The invention provides a flow field real-time precise measuring system and a flow field real-time precise measuring method. The system comprises a tracer particle generator, an image processing sub system and a PIV (particle image velocimetry) measuring sub system, wherein the tracer particle generator is arranged at the upper stream of a flow field to be measured, and the image processing sub system collects tracer particle images in the flow field and transmits the images to the PIV measuring sub system. The method comprises the following steps that the space resolution regulation information and the time resolution regulation information are calculated according to the previous measurement, the inquiry window parameter and the image collection speed are regulated, during the measurement in the last time, the flow field particle images are collected according to the regulated image collection speed, the regulated inquiry window parameters are adopted for the image and the previous image, and the current full flow field vector is obtained through adopting a particle image speed measuring method. The flow field real-time precise measuring system and the flow field real-time precise measuring method provided by the invention have the advantages that the real-time measurement is carried out on the high-flow-speed flow field, particularly the hypersonic flow field and the violently changed flow field, and the precision is high.

The invention provides a distributed high voltage cable partial discharge online monitoring and positioning system comprising a signal preprocessing module, a partial discharge acquisition module, a data signal processing module, a communication module, a data analysis module and a power supply module. The signal preprocessing module performs filtering and amplification functions on sensor coupling signals; then the partial discharge acquisition module acquires, displays and stores the signals processed by the signal preprocessing module; and then the data are transmitted to the data signal processing module to be analyzed and processed, partial discharge parameters and discharge spectrum information are calculated, the data are remotely transmitted to the data analysis module through the communication module, and the required voltage of the functions is supplied by the power supply module. The accuracy and the sensitivity of cable partial discharge monitoring can be enhanced by using high sampling rate and high pulse capture repetition rate, and positioning and identification of the partial discharge fault points of the cable can also be realized. Phase matching can be performed on the acquired partial discharge by using external power frequency signals or internal power frequency signals according to the field conditions so that the mode identification accuracy of partial discharge can be enhanced.

The invention discloses an acceleration sensor based digital fighting evaluation system which comprises a central computer, a WIFI wireless router, a striking signal guide system and a motion information acquisition system; a measured person wears boxing gloves and sports shoes provided with the motion information acquisition system based on a gene motion sensing unit, the motion information of the measured person is captured, the obtained information is sent to the striking signal guide system mounted on a vertical sandbag in a WIFI mode, the striking signal guide system conducts screening and analyzing according to the obtained data information and sends the analyzed data to the central computer through the WIFI wireless router in a WIFI mode, and the central computer feeds the training data of the measured person to the measured person in real time. By means of the acceleration sensor based digital fighting evaluation system, the training level of the fighting trainees can be displayed in a quantitative mode, the potential motion ability of the trainees can be stimulated, action influences of the trainees are reduced to the maximum degree, and online evaluation of multiple persons can be achieved simultaneously.

The invention discloses a CCD data collecting and processing device which is used in high-speed displacement measurement, thereinto linear array CCD sensor outputs signal charge to A / D converting circuit for analog-to-digital conversion, the A / D converting circuit outputs digital signal to high-speed data buffer FIFO, the FIFO outputs pixel signal to signal processing circuit, it characterized in that: it possesses comparator selecting circuit, drive clock circuit and pixel counter, the comparator selecting circuit receives signal charge of said linear array CCD sensor, and outputs read, write signal to FIFO, outputs interrupting signal to signal processing circuit. The remarkable effects of the invention are: it can collect big signal output by CCD and process in real time, use resource of system to discriminate data information, eliminate useless information, realize collection in real time and in-phase process, and increase speed and efficiency of integral system.

The invention relates to an intelligent traffic cloud control system, and provides a cloud-side-end collaborative road traffic cloud control platform technical architecture by fully applying technologies such as cloud computing, edge computing, big data and artificial intelligence, which can overcome the defects of the existing traffic operation management and monitoring system technical architecture. According to the highway cloud control platform designed and developed by the technical architecture, the road network operation efficiency can be improved on the premise that the safety is ensured, so that highway users can obtain more timely, effective and personalized driving and travel auxiliary information, and the functions of supporting vehicle-road cooperative automatic driving practical application and the like are achieved.

The invention discloses a double-fed wind power generation set physical simulation platform based on a Compact RIO. The double-fed wind power generation set physical simulation platform comprises a wind machine simulating device, a double-fed generator, a grid connection switch, a voltage drop generator, a back-to-back converter, a Crowbar protection circuit, an absolute value encoder, a Compact RIO controller and a monitoring computer; the components are connected to form a working loop of the double-fed wind power generation set physical simulation platform. The double-fed wind power generation set physical simulation platform has the high-speed and real-time operation and control capacity of a wind power generation simulation system, and can meet the requirement of the continuously-improved complexity of a control algorithm of a wind power generation system; in addition, the double-fed wind power generation set physical simulation platform is compact in structure, convenient to maintain and particularly suitable for a researcher without hardware code programming experience to conveniently conduct physical simulation test studying of related tasks, and therefore the applicability of various wind power generation control algorithm theories in practical physical models is verified; the double-fed wind power generation set physical simulation platform is of great significance in wind power generation studying.

The invention discloses a high-speed data acquiring and digital signal processing board based on an FPGA (Field Programmable Gate Array), which is characterized by being integrally provided with an analog signal input and A / D (Analog-to-Digital) conversion module, a digital signal processing module and a communication module, wherein the analog signal input and A / D conversion module comprises a signal conditioning circuit and an A / D conversion module; the digital signal processing module comprises an FPGA module, a storage DDR2 and a data storage FLASH; the digital signal processing module is used for processing original sampling data through the steps of fault starting judgment, fault data shift out and wavelet transform processing; an embedded network is realized by the FPGA module; the communication module is connected with the FPGA module; and a networked physics layer chip is cooperated with an FPGA embedded network to realize the purposes of exchanging, collecting and calculating results with other plates or a background computer. According to the high-speed data acquiring and digital signal processing board, high-frequency transient state traveling wave can be synchronously collected and quickly processed.

The invention discloses an online weld joint tracking method and system based on vision. The online weld joint tracking method and system based on vision aim at solving the problems that in the weld joint tracking process, Gaussian noise has time variability, and sparse noise in weld joint tracking cannot be treated by a traditional Kalman filter algorithm. An online Kalman filtering frame is put forward; real-time estimation is performed on noise parameters of a welding track through an online Kalman filter based on convex optimization; in a weld joint tracking model, the items of the Gaussian noise and the sparse noise are added in the measurement process at the same time; and by establishing a reasonable optimization model, the Gaussian noise and the sparse noise can be accurately estimated online, and therefore the weld joint tracking accuracy is improved.

The invention discloses a method and a device which realize the time-domain reflection technique of polarized sensitive lights by utilizing piezoelectric ceramics and are characterized in that an unspinnable piezoelectric ceramic polarization controller is used in a measuring light path, and an optical fiber polarizer is arranged before the piezoelectric ceramic polarization controller and taken as both a polarizer and an analyzer. The implementation method of the invention is that the piezoelectric ceramic polarization controller changes light pulses from a short pulse light signal source into a known polarization state under the control of a computer, injects the light pulses into an optical fiber to be detected, and generates backscattering lights; only a photoelectric detector and an algorithm are needed to detect the polarization state change of the returned backscattering lights, thus realizing the distributed measurement of parameters of the optical fiber and the environment. The method and device do not need mechanically spinning devices, have the advantages of accurate measurement, good repetitiveness and quick and convenient operations, etc., and can be widely used in the distributed measurement of the parameters of the optical fiber and the fields of distributed fiber sensors, etc.

The invention discloses a multichannel high-speed data acquisition system of the internet of things. The multichannel high-speed data acquisition system comprises wireless sensor network data acquisition node equipment 1, a multichannel high-speed data acquisition and control system 2 and a power supply system 3. The wireless sensor network data acquisition node equipment 1 comprises a data acquisition node which is placed on a point to be detected. The multichannel high speed data acquisition and control system 2 is connected into the wireless sensor network data acquisition node equipment through a serial port, a remote monitoring center sends data command frames to the wireless sensor network data acquisition node equipment 1 in a wireless mode, and then the data command frames are sent to the multichannel high-speed data acquisition and control system 2 through the series port to carry out corresponding commands. The multichannel high-speed data acquisition system of the internet of things can be used for sampling and remote monitoring of the physical quantities (such as temperature, humidity, pressure, rotating speed, displacement and dust) of sensors with various interference types, and can collect and process data information at a high speed.

A strip steel hot galvanizing production process data high-speed acquisition method includes the following steps: first a strip steel hot galvanizing production process data acquisition value range is set, then a PLC stores a process value acquired in each cycle period in a DB having a fixed format in a fixed sequence, when a set number is reached, in a PLC program, a system function block SFB37 is called to actively send data block data to WinCC, in WinCC a corresponding DLL is called to disassemble data, and the data are stored to an SQL database in a time sequence. At the same time, human-computer interface programming is performed in WinCC and acquired data are displayed. The s trip steel hot galvanizing production process data high-speed acquisition method provided by the invention is realized under existing basic software and hardware conditions of a hot galvanizing production line. The highest configuration can be 1ms acquisition period according to the need. Real-time control curve display is provided, and the acquired data are archived and stored in the SQL database for on-line monitoring and historical data analysis by production technicians, thereby providing technical support for improving strip steel hot galvanizing quality.

The invention discloses a punch switch device intelligent control system with a wide-area synchronous measurement function. The punch switch device intelligent control system with the wide-area synchronous measurement function comprises a switch cabinet control system and a plurality of switch devices, wherein the switch devices independently controls terminal devices or feed terminal devices andare communicated with one another; the switch cabinet control system comprises function expansion modules, which are connected to a master control module through an internal bus and precise clock signal wires; the switch devices are connected with the master control module through a photoelectric isolation field bus; the switch cabinet control system is connected with an upper power distribution master station system through the master control module, and the master control module is connected with a power module and a positioning module. The punch switch device intelligent control system withthe wide-area synchronous measurement function simplifies internal inter-communication structures, achieves function expansion abilities, greatly reduces the number of wire-core connection of the switch devices and meets the demands of intelligent power grids on equipment communication capability.

The invention relates to a pantograph-catenary operation state online detection system and method based on stereoscopic vision. The pantograph-catenary operation state comprises a pantograph-catenarycontact point movement position and pantograph offset. The detection method comprises the following steps: designing a stereoscopic vision sensor structural body placed on a vehicle roof; The inertialnavigation system and the trigger device combined with the odometer are used for obtaining information such as the vehicle speed, the GPS and the deflection degree of the vehicle body at the same time of image collection. The system also comprises two high-performance servers containing a core detection algorithm and related electrical and mechanical structures. Actual operation, The detection system collects a high-speed image entering the server, an image contact point is positioned by using a detection and tracking combined method, a three-dimensional visual sensor obtains a three-dimensional track of a pantograph-catenary contact point corresponding to an image sequence according to a pre-calibration result, and meanwhile, the offset of the pantograph is solved according to information provided by inertial navigation. The method is suitable for on-line detection of bow net operation conditions in actual operation of the high-speed train.

The invention relates to a field-programmable gate array based real-time synchronous data acquisition intellectual property core, belonging to the technical field of internet-of-things application. The intellectual property core comprises a basic IP (Internet Protocol) core module, an external IP core module and a sensor user-defined IP core module, wherein the sensor user-defined IP core module comprises a temperature-air pressure sensor user-defined IP core, an infrared temperature measurement sensor user-defined IP core, a temperature testing sensor user-defined IP core and the like, the IP cores are based on Avalon interface specification, a CPU (Central Processing Unit) is communicated with all IP cores by Avalon bus, so that data acquisition for sensors is finished finally. The intellectual property core can overcome the defects of the traditional sensor data acquisition such as low efficiency, low rate and incapability of real-time synchronization and can connect different types of sensor interfaces; the intellectual property core can process data in parallel under the same clock, so as to achieve high-speed acquisition; and all modules can run independently, therefore, the real-time data acquisition is realized and the resources can be effectively utilized.

The invention discloses a closed loop dual-mode reduced-order model prediction control method for a Buck type DC-DC converter. A closed loop dual-mode reduced-order model prediction control algorithm is adopted; a closed loop feedback gain coefficient is introduced in a rolling optimization process so as to ensure the stability of the control system; meanwhile, the dual-mode structure is subjected to order reduction by adopting an SVD decomposition method, so that the overall calculation process is simplified twice in order to reduce the online calculated amount; and in addition, an off-set free idea is adopted in the algorithm implementation process, so that the output can stratify a set point value, and the control for the DC-DC converter is realized.

The invention discloses a high-precision acceleration DAC (digital-to-analogue conversion) digital filter applicable to strapdown inertial navigation and relates to the field of data acquisition. The filter comprises a sampling comb filter, an FIR double-extraction compensation filter and an FIR quadruple-extraction compensation filter, wherein the sampling comb filter adopts an efficient down-sampling filter structure put forward by Hogenauer and is used for realizing high-rate underclocking; the FIR double-extraction compensation filter is generated through a fir2 function in the matlab, the function can design a multi-band random response curve phase FIR filter, the filter is mainly used for compensating the pre-stage CIC (cascaded integrator comb) filter with attenuation on band margins and realizing double extraction; the FIR quadruple-extraction compensation filter calculates coefficients of the optimal filter with the Parks-McClellan algorithm, and the filter is low in pass band ripple, narrow in transition band, large in stop band attenuation and high in filter order. The high-precision digital filter meets the strapdown inertial navigation system data sampling requirement.

A system for testing DS / FH (Direct Sequence / Frequency Hopping) mixed spread frequency signal time frequency parameters is provided. The system comprises a frequency converter unit, an acquisition and storage unit and a test terminal. The system combines an image processing method to complete the extraction of discrete DS / FH mixed spread frequency signal time frequency parameters, and a testing method comprises the steps of carrying out time frequency analysis to a signal to be tested first, regarding the analysis result as a two-dimensional image for preservation; then processing interference signals such as noisy points, glitches and the like in the image by employing an image morphological theory; and finally testing a plurality of time frequency parameters such as frequency hopping patterns, frequency hopping rates and the like by combining the corresponding relations of image pixel positions to the time frequency parameters. According to the invention, the elimination of interference factors in the test of DS / FH mixed spread frequency signals is achieved, and indexes such as the frequency hopping patterns, the frequency hopping rates and the like that are hard to analyze by the present technology are tested. The method and the system for testing the DS / FH mixed spread frequency signal time frequency parameters can be applied to equipment detection and analysis, and signal analysis and processing of a disoperative target in communication countermeasure.

The invention discloses a color imaging system for collecting standard color information of an object and a using method of the color imaging system and belongs to the field of optical imaging. The structure and the using method of the color imaging system are as follows: a light source parameter setting module is used for regulating and controlling luminous flux and color temperature of a light source through a light source control mdule; a light source detecting module is used for regulating and controlling the light source by detecting the temperature and the color of the light source; a signal output port of a single-color camera is used for transmitting a starting level signal and an ending level signal of each frame image or computer instruction to the light source control module or the light source parameter setting module to completely synchronizing the lighting moment and exposure moment; the single-color camera is used for respectively shooting three pictures and stimulating the red light, green light and blue light of the set light source to light synchronously in turn, and combining three component pictures into one color picture therein, and displaying or storing the color picture at the external equipment. The color imaging system of the invention has integrated, fast and accurate interaction, and could be used for accurately collecting and demarcating standard color information of the object in real time with high speed and high resolution.

The invention discloses a drop tower frictional wear testing device and method. The drop tower frictional wear testing device comprises a load loading mechanism, a static test sample clamping mechanism, a movable test sample clamping mechanism, a friction power device and a rack which is fixedly mounted in a drop cabin of a drop tower, wherein the load loading mechanism, the static test sample clamping mechanism, the movable test sample clamping mechanism and the friction power device are arranged in sequence. The drop tower frictional wear testing device has the advantages of simple structure, relatively high precision, stable structure and strong anti-impact capability; various index designs of the drop tower are completely referred and the device can be mounted in the drop cabin to carry out a micro-gravity drop tower frictional wear testing experiment; a micro-gravity environment can be relatively really simulated and influences, caused by micro-gravity, on frictional wear on the mechanism are explored; the blank of a mechanism frictional wear test under a current real micro-gravity environment is made up and influences, caused by the micro-gravity, on abrasion of a space mechanism are explored better.

This invention disclosed a detection system used for kinematics / dynamics parameter and the analysis method. It contains an object used for analysis and validation, a testing pot fixed in the key part of the object, a camera to shoot the movement track of the object and a data processing system. The data processing system connects with the camera via a image collecting card. This invention shows high efficiency and precision. It can be applied to test all kinds of movement real-time.

The invention obtains the image data by processing deformation to the original image in multi-group in a different deforming processing condition beforehand. The invention selects a group of temporary deformation finished image data obtained in the deformation processing condition similar to the input deformation processing condition and processes the deformation to the selected temporary deformation finished image data based on the difference between the input deformation processing condition and the deformation processing condition of the selected temporary deformation finished image data, processes a deformation to the selected temporary deformation finished image data, takes the deformation finished image data as the tracing point data. Thereof, the invention provides a tracing point data obtaining method and the device thereof, a tracing method and the device thereof, which can inhibit the processing ability and obtain the exposure data for tracing the image with a low cost and a high smoothness even in the deformation processing with an increased deformation and a rotation or retraction of the image processing time.

The invention relates to high-resolution human figure automatic recording and comparing system and method in a key region. The system comprises a video detecting module, an image acquisition module, a suspected face comparing module and an alarming module. The method comprises the following steps of: scanning and comparing a detection region by the video detecting module in real time; sending a triggering signal to the image acquisition module if a number of pixel information of a detection stripe band exceeds the preset threshold; acquiring the current image information by the image acquisition module through a network camera to form member face records and sending the records to the suspected face comparing module; comparing and matching suspected face information hierarchically one by one by the suspected face comparing module; if the suspected face information is matched successfully, sending alarming information to the alarming module; and carrying out alarming processing by the alarming module according to the alarming information. By adopting the high-resolution human figure automatic recording and comparing system and method in the key region, the system power consumption is reduced, the energy is save, no pollution is caused to the environment, the comparing times of the system is reduced, and the comparing efficiency is improved. The high-resolution human figure automatic recording and comparing system and method in the key region are suitable for large-scale suspected face comparison.

The invention discloses a tissue chip making system based on image recognition and positioning and a chip making method thereof. The chip making system comprises a cutting system and a computer control system; the cutting system comprises a numerical control cutting machine, an XYZ axis translation work table, a 360-degree-rotation rotary table, a receptor wax block frame, a freezing table and animage recognition and positioning module. The chip making process of the chip making system comprises sample placing, sample position identification, tissue sample image acquisition, tissue sample image processing, setting of cutting parameters, cutting of a tissue sample, tissue chip information identification and storage, and obtaining of the tissue chip with traceability of information. The method obtains a chip taking area by visual identification, has the advantages of high degree of automation and high work efficiency, through linear cutting of the tissue sample, tissue damage is effectively reduced, and the chip taking efficiency and success rate are improved; a database is established for management of the information of the tissue chip, so as to be easy to follow-up queries.

The invention provides a miniaturized low-power consumption breath mechanical parameter test device, which comprises a data acquisition unit and a data processing and display unit. In the test device, a combined type air flow-air pressure sensor which integrates an air flow-pressure test is designed according to two basic parameters of air flow and air pressure in breath mechanical parameters, sothat the pressure and the air flow can be measured simultaneously; related signals are acquired in a mode of weak capacitance detection mode, so the volume and power consumption of the device are reduced; and the signals of the breath mechanical parameters are acquired by combining with a signal amplifying circuit, an analog / digital (A / D) digital-to-analogue conversion circuit, a data acquisitioncircuit, a breath mechanical parameter computing unit, a liquid crystal display (LCD) display and the like, so that the acquisition, amplification and calculation of the breath mechanical parameters are realized. By the miniaturized low-power consumption breath mechanical parameter test device, the requirements of low power consumption and small volume are met, the real-time online detection of the breath mechanical parameters also can be realized, and the portable requirement is met.

The invention belongs to the casting workshop equipment information acquisition field and discloses a casting equipment data acquisition and storage method based on configuration software KingView anda PLC. The method comprises the following steps of S1, carrying out communication preparation; S2, setting an ODBC data source: setting the ODBC data source on a local PC to connect a remote databaseSQL Server, then, setting an ODBC data source name, selecting ODBC driving for connecting the remote database, and selecting a database name where data needs to be stored; S3, creating a remote datastorage table; S4, connecting the PLC and an upper computer; S5, exploiting a configuration frame; and S6, setting a data storage mechanism. In the invention, through the PLC and the upper computer software KingView, casting equipment data can be effectively read and stored, PLC connection modes are diversified, and according to an actual state, serial port connection and network port connection can be achieved.

The invention discloses a system for recognizing a partial discharge mode of power equipment, and the system comprises a signal preprocessing module which carries out the filtering and amplifying of asensor coupling signal. The signal processed by the signal preprocessing module is collected, and the data is transmitted to a data analysis module for analysis. A partial discharge PRPD graph and statistical features are calculated, and the statistical features of the partial discharge graph are inputted into a BP network neural algorithm input layer in a grouped manner, thereby obtaining different group of discharge results, and finally obtaining a discharge mode according to the different distributed weights. The system improves the recognition difficulty of the partial discharge mode. Thesystem can improve the accuracy and sensitivity through employing a high sampling rate and a high pulse capturing repetition rate.