949results about How to "Informative" patented technology

The invention provides an intelligent device failure diagnosis method based on a support vector machine. The method includes the steps that preprocessing operation is conducted on device data; a failure diagnosis case knowledge base is built; failure diagnosis is conducted on the support vector machine; the failure information is obtained, and troubleshooting guide is conducted. By means of the intelligent device failure diagnosis method based on the support vector machine, the failure feature of a device is highlighted to the maximum degree, the situations that the device data are incomplete and imprecise are reduced, the method provides the possibility for building a precise and reliable failure diagnosis model, the problem of aging of the diagnosis model along with the runtime of the device is solved, the misdiagnosis rate of the failure diagnosis model is reduced, and the correct rate and speed of the device failure diagnosis are increased to the maximum degree.

The invention discloses a binocular vision navigation system based on an inspection robot in a transformer substation. The binocular vision navigation system comprises a robot body, an image collecting system, a network transmission system, a vision analysis system, a route planning system and a robot control system, wherein the image collecting system is arranged in front of the robot body and used for collecting environmental information images of a forwarding road and then uploads the environmental information images to the vision analysis system on the basis of the network transmission system; the vision analysis system detects a barrier in the road area of the transformer substation according to binocular image information collected by the image collecting system and inside and outside parameters of a camera; the route planning system plans a route according to environment information detected by the vision system and timely adjusts the walking routes of the robot, so that the robot can be prevented from being collided with the barrier; and the robot control system controls moving of the robot body according to the route planned by the route planning system. The invention simultaneously discloses a vision navigation method. By means of the system and the method, the self-adaptation ability of the robot to the environment is improved, the autonomous navigation function of the electric robot is really realized in the complicated outdoor environment, and the flexibility and the safety of the robot are improved.

The invention discloses a binocular vision navigation system based on a power robot. The binocular vision navigation system comprises an image collecting system, a vision analysis system and a path planning system, wherein the image collecting system is used for controlling a camera through collecting software to collect environment images on a forward road of the robot, and then transmitting the collected images to the vision analysis system in a wired mode, the vision analysis system is used for detecting barriers according to the binocular image information and camera inner-outer parameter information and transmitting the information to a robot control system, and the patch planning system is used for building a two-dimensional occupied map to carry out path planning according to the environment information collected by the image collecting system and timely adjusting the walking path of the robot when the barriers exist so as to prevent the robot from colliding the barriers. Meanwhile, a vision navigation method is disclosed. Collision with the barriers is avoided, the self-adaptation capacity to the environment is improved, the autonomous navigation function of the power robot is truly achieved in the outdoor complex environment, and the flexibility and the safety performance of the power robot are improved.

The invention discloses an SVM classification model-based equipment fault diagnosing method. The method comprises the following steps: performing a preprocessing operation on equipment data; constructing a fault diagnosis case knowledge base; performing fault diagnosis on a support vector machine on the basis of an SVM classification model; acquiring fault information and performing maintenance guide. According to the support vector machine-based intelligent equipment fault diagnosis method, the fault features of equipment are highlighted to the maximum degree; the situations that the equipment data are incomplete and inaccurate are reduced; the possibility is provided for constructing an accurate and reliable fault diagnosis model; the problem that the diagnosis model ages along with the operating time of the equipment is solved; the misdiagnosis rate of the fault diagnosis is reduced; the accuracy and the speed of the equipment fault diagnosis are greatly improved.

The invention discloses a remote and rapid monitoring and alarming device and method for the displacement and the gesture of a sliding mass, and relates to a target monitoring technique. The method carries out remote automatic monitoring on the potential sliding mass in the earthquake and landslide disaster emergency rescue, and monitors the changes of the position and the gesture of the potential sliding mass, and once the changes reach or exceed the preset safety limit, the acousto-optic alarm is carried out to warn the field personnel to take safety measurements or depart from the danger area. The device has mature technique, lower cost, simple structure, low power consumption and higher accuracy, is convenient in operation, is convenient for outdoor monitoring, provides the insurance for natural disaster rescue, and generates enormous economic and social benefits.

The invention discloses an LED optical parameter comprehensive testing device, belonging to the technical field of optical parameter measurement. The LED optical parameter comprehensive testing device is technically characterized in that one end of a horizontal base provided with a one-dimensional mobile platform is fixedly provided with an arc-shaped clamp provided with a fiber-optic probe and astandard luminosity probe, the other end of the horizontal base is fixedly provided with an arc-shaped light collector consisting of an arc fiber-optic array and a linear array CCD (Charge Coupled Device), and a rotary clamping table for holding an LED to be tested is arranged on the one-dimensional mobile platform; light information acquired by the fiber-optic probe is converted into a spectrum band by a spectrograph and then is sent into a computer, outputs of the standard luminosity probe and the linear array CCD are sent to the computer through the data acquisition unit, the computer performs corresponding processing and operation on measurement data through measurement software to finally obtain the luminescence characteristics of the LED to be tested. According to the invention, theproblem on comprehensively measuring the LED on a single measurement instrument is solved; and the LED optical parameter comprehensive testing device has the characteristics of simplicity for operation, compact structure, fastness for measurement, easiness for realization and the like.

The invention discloses a vehicle speed detection method based on a target motion track. The method includes the steps of target segmentation, target tracking conducted on the basis of Kalman filtering and speed calculation, wherein the combination of an inter-frame difference method and a fixed threshold value method is mainly adopted in target segmentation, and a segmentation result is acquired; target tracking conducted on the basis of Kalman filtering is divided into the processes of mass center acquisition, motion model establishment, motion target feature extraction and state vector updating, and therefore the target motion track is acquired; a speed calculation method mainly refers to track related point information acquisition, mapping relation establishment, speed calculation and speed correction, the mapping relation establishment mainly refers to conversion from pixel coordinates in an image to actual distances, in other words, the actual distance, corresponding to an actual coordinate system, of each pixel point in the image is calculated, speed calculation mainly refers to calculation of related information provided by the vehicle track in the mode that the distances are divided by time according to a speed calculation formula and a result is corrected according to the actual condition.

The invention relates to a device and a method for testing the LED light source intensity space distribution characteristic. The device comprises a base, a testing sample seat, a light intensity detecting unit, a detector bracket, a testing circuit, a computer and testing software. A multi-path synchronous testing method of a plurality of light intensity detecting units is adopted to replace one light intensity detector to sequentially test a plurality of points so as to realize the quick testing of the LED light source intensity space distribution characteristic. Compared with a conventional light distribution curve measuring method adopting one light intensity detector, if N light intensity detectors are used, the testing speed can be improved by more than N times. The device has the advantages of high testing speed and precision, abundant information content and real time and visualization.

The invention discloses a parking guidance system and a method thereof based on release and forecast of a parking index, and belongs to the technical field of parking management and vehicle detection of the internet of things. The parking guidance system comprises an information acquisition subsystem, a data transmission subsystem, a central control subsystem and an information release subsystem,wherein the central control subsystem comprises an information release server, an index operation unit, a database server and a management terminal; in addition, the information release subsystem comprises terminals such as an internet, a vehicle-mounted GPS (Global Positioning System), a traffic transceiver, a three-color guiding panel, a mobile phone. The method of the parking guidance system acquires the flow information of an outlet and an inlet of a parking lot, uploads the data, and computes the parking index. Finally, the computed result of the parking index is transmitted to the terminals of the information release subsystem. The parking guidance system and the method thereof can release the parking index and forecast the travel information visually and roundly, and can effectively integrate the conventional parking guiding information and other dynamic information such as real time traffic status.

Techniques are provided for processing in vitro test sample data. The in vitro test sample data is accessed and additional data may be accessed, such as from an integrated knowledge base (12), from a plurality of controllable and prescribable data resources (40). Analysis (440; 448) of the data is performed, such as via an automated computer-assisted data operating algorithm (22) to identify features of interest available or possibly available from the in vitro test data. Processes (446; 454; 458; 460) are performed, either on the data or upon an in vitro sample based upon the analysis. Results of the processing may include acquisition (438) of additional test samples, modification (444; 452) of processing of test samples or of sample data, and so forth.

The invention discloses a topic detection and tracking method based on microblog data. In the method, potential hidden subjects in large-scale social network information are mined. The method comprises the following steps: firstly, partitioning microblog data increasing massively according to time sequence properties, and filtering redundant information; secondly, analyzing and classifying text contents in time windows, returning key subject descriptions with independent semantics after extraction, and extracting topics in different time windows; and lastly, analyzing the inheritance and the identity of topics among the time windows to conclude the variation tendency of microblog topics. According to the method, the dynamic developing process of topic contents, namely, the generation, development, climax and extinction of topics can be shown, and topics are described more accurately and fully.

This invention relates to one safety index engine system based on visit control, which comprises database servo, single load module, user information description module, scramble device module, inquire index module and index database, wherein, the system can describe user information according to materials degree; the scramble device gets the materials right and collects the safety control materials content; feeding back safety degree with visit material list according to user inquire key word; due to different rights on different websites, index engine gets user identity information according to the information without load operation in visiting materials.

The invention provides portable electronic equipment provided with a touch screen and a control method thereof. The portable electronic equipment includes a first display processing module and an unlocking control module, wherein the display processing module is used for displaying an unlocking strip at a first area of the touch screen when the portable electronic equipment stays in the locked state; and the unlocking control module is used for releasing the locking operation after the unlocking strip is drawn by a pointer. The invention enables a user to acquire information in the locked state, and meanwhile, in term of a terminal, the terminal is not required to change states for providing information to the user, so that the power consumption of the terminal can be lowered.

The invention discloses a roadway drivage drilling induced polarization advance water probing forecasting method, device and probe. The probe is placed in a drill hole; a power supply negative electrode B is mounted in a roadway outside the drill hole and is connected with an on-site main machine by a power supply cable; a power supply positive electrode A, a measuring electrode M and a measuring electrode N of the probe are mounted inside the drill hole, and are connected with the on-site main machine by the power supply cable and a signal cable; the power supply positive electrode A and the power supply negative electrode B outside the drill hole form the power supply cable; the on-site main machine measures an electric field change signal by the measuring electrode M and the measuring electrode N of the probe; and the electric field change signal is input to the main machine to calculate and detect the apparent resistivity and apparent chargeability of a target; the probe is propelled to repeat the steps at each measuring point to measure the apparent resistivity and apparent chargeability of each point and generate a resistivity profile map and a chargeability profile map; and the rate of change of the apparent resistivity and apparent chargeability is calculated to determine an inner geological structure taking a drilling axis as a central cylindrical space.

The invention belongs to the technical field of optical precision measurement and relates to a measurement method for the combined refractive index and thickness of differential confocal aspect and low coherence interference and a device. The method first determines the positions of a measuring objective and a reference part corresponding to the front surface position and back surface position of a measured sample respectively through differential confocal and focus principle and low coherence interference principle, and then measures the displacement distance Delta z of the measuring objective and the displacement distance Delta l of the reference part, and the displacement distances are substituted into a formula to calculate the refractive index and thickness of the measured sample. The invention first proposes the use of the characteristic that a differential confocal response curve corresponds to the focus of a micro objective in zero crossing for realizing precise focus and extends the differential confocal micro principle to the refractive index and thickness measurement field, forming the differential confocal thickness measuring principle. By integrating the differential confocal and focus principle and low coherence interference technology, the invention has the advantages of high measurement precision and strong capability of resisting ambient interference and can be applied to the detection of the refractive index and thickness of a sample.

The invention relates to a multimode image based surgical operation navigation system which comprises a preoperative image acquisition device, an ultrasonic scanning device, a multimode image registration device, an integrated endoscopic device and a postoperative evaluation device. The preoperative image acquisition device acquires a three-dimensional image, the ultrasonic scanning device acquires an ultrasonic image in real time, the multimode image registration device registers the three-dimensional image with the ultrasonic image to obtain a registered image, the integrated endoscopic device acquires current image information of an operational position during operation, and the multimode image registration device fuses the registered image and the current image information to obtain a fused image. The preoperative three-dimensional image, the intraoperative ultrasonic image and the intraoperative current image are fused, therefore, real-time image information which is accurate, reliable and rich in information content can be provided for doctors; meanwhile, by the aid of the postoperative evaluation device, bases are provided for subsequent disease diagnosis, tracking or operation implementation.

The invention discloses a device used for quick online nondestructive detection on cracks of poultry eggs on the basis of acoustic characteristic and a method thereof; the poultry egg is arranged on a supporting idler wheel; a stepping motor is connected with the supporting idler wheel and drives the supporting idler wheel; a microphone which is arranged beside the poultry egg is sequentially connected with a computer by a signal amplifier, a filter and an A / D converter; when the poultry egg rolls on a chain, different parts of the poultry egg are mechanically knocked at multi-point by a knocking rod; sound signals collected by the microphone are amplified by the signal amplifier, filtrated by the filter and converted by the A / D converter and subsequently input to the computer, thus comprehensively judging the cracking situation of the poultry eggs. The device and the method can adapt to poultry eggs with different types and different sizes, realize the classification and automatic detection of the poultry eggs during the production processing and circulation process, and can be popularized and applied to the nondestructive detection on the hardness and the maturity of agricultural products such as fruits, vegetables, and the like.

The invention relates to a vehicle positioning and speed measuring method based on the dynamic video feature of a vehicle, belonging to the technical field of intelligent transportation and close-range photogrammetry. The vehicle positioning and speed measuring method comprises the following steps: judging the vehicle dynamic video feature size in a video image within any time quantum in one video monitoring system according to vehicle dynamic feature parameters extracted from the video image which calibrates a vehicle traveling process, and reconstructing and reducing a dynamic video feature model of a to-be-measured vehicle traveling process corresponding to each image frame; and calculating an actual position and a vehicle speed value sequence corresponding to each image frame in the to-be-measured vehicle traveling process according to a mapping relation between the dynamic variation characteristic of the image feature size of a vehicle to be measured and the actual vehicle movement parameters, and thus acquiring the actual position and traveling speed information of the vehicle. The vehicle positioning and speed measuring method is easy to realize and high in accuracy, and is applicable to the demands of various vehicles on speed measurement in a road traffic video monitoring system.

The invention relates to a three-dimensional labeling method for part processing, comprising the following steps of: (1) labeling sizes, tolerances and other manufacturing information generating procedure requirements on the basis of a procedure model established in each procedure of a part processing process; (2) naming procedure content views: carrying out three-dimensional labeling on the procedure models to generate procedure contents, wherein the procedure models and the three-dimensional labeling are organized by adopting a mode of a view structure tree; and (3) setting the three-dimensional labeling of the procedure contents. The method belongs to a structurized process so that three-dimensional models have more comprehensive and specific information and downstream users have a unique data source, thereby getting rid of the phenomenon that digital control programs are compiled according to the three-dimensional models and two-dimensional pictures have nonuniform data sources; and the three-dimensional labeling method has the advantages of more visual two-dimensional function, good visualization effect and comprehensive information content; and the structurized three-dimensional labeling data can rapidly generate checking and counting data directly transmitted to systems comprising a downstream MES (Manufacturing Execution System) and the like, thereby reducing a great amount of repeated workload of process personnel.

The invention discloses a structured light vision-based track irregularity state detection method. In the structured light-based method, moving together with a carrier, an imaging sensor device acquires two-dimensional planar spatial geometrical deviations of detected tracks 100 under the dynamic load condition by sensing the change of a geometrical position between a reference light section 310 and a standard light section 210; and two sets of detection systems on the carrier are widely used for detecting the geometrical deviations of the left track and the right track respectively so as to acquire related planar geometrical deviation information of the left track and the right track. The method has more information quantity compared with light spot detection, can acquire height irregularity information of the track surfaces in the vertical direction, can acquire track direction irregularity information along the transverse directions of the tracks, has high detection precision and good instantaneity, and is convenient for installation and engineering.

The invention relates to a test method of an L3-level autopilot system of vehicle-in-loop based on a virtual driving scene. The method comprises the following steps of observing a kinematic state of avehicle, wherein the kinematic state comprises a position and a course angle, and is used for updating a vehicle pose in the virtual scene; establishing a sensory system model, wherein the sensory system model comprises four perception equipment models of vision, a millimeter wave radar, a laser radar and an ultrasonic radar; injecting virtual test scene libraries, and predefining three types oftest scene libraries including system driving scene working conditions, emergency working conditions and human-computer interaction working conditions according to an application scene of the L3-levelautopilot system; rendering in the virtual scene according to a pilot position parameter to generate a scene visualization visual angle; and recording and evaluating test data, including algorithm performance quantitative evaluation indexes and system evaluation indexes, and finally outputting comprehensive summary evaluation indexes of the L3-level autopilot system. Through the test method disclosed by the invention, the typical application scene of the L3-level autopilot system can be tested and evaluated in a limited experimental site.

The invention discloses an obstacle avoidance robot based on visual feature binding and a reinforcement learning theory. Visual feature binding and the reinforcement learning theory are utilized, and depth image information is integrated to learn priori knowledge of complex environment on the basis of a convolutional network and image matching technology; on the basis of a feature binding mechanism, a result is fed back to obstacle avoidance of the obstacle avoidance robot to make a decision intelligently, quickly, efficiently and accurately; an MNIST handwriting dataset is adopted, different control signal meanings are given to numbers 0-9 respectively, a Kinect sensor is utilized to collect RGB images with moving distance containing handwriting pictures in the complex environment, and an image matrix is created and output through gray-scale processing; image matching is performed, pictures after being matched are subjected to binarization processing and substituted into a well-trained image recognition model based on a convolutional neutral network, numbers in front of the sensor are judged finally, and corresponding control signals are transmitted to a robot control module through a host to realize intelligent obstacle avoidance.

The invention provides a laser radar interference immunity enhancing method comprising the following steps: carrying out non-continuous multiple scanning for a random single target point, and carryinglaser fast coding for each time scanned laser signal. The multiple measuring behaviors aiming at each target point are non-continuous under fast scanning conditions, thus ensuring the measuring result high refresh rate and reliability; the laser fast coding is to convert the pulse signals in a single pulse period of the existing pulse laser into continuous and / or discrete subpulses with at leasttwo different pulse intensities and / or pulse widths; a series of subpulses as a whole body in the single pulse period can form a detection signal unit of the single target point emitted by the laser radar. The fast coding method is applied to each measuring time of the single target multiple measures, thus further enhancing the laser radar measuring reliability in each time, reducing the single target measuring frequency on said basis, and further improving the measuring result refresh rate.

The invention discloses a beef quality multi-parameter simultaneous detection method by multichannel near-infrared spectroscopy, belonging to the rapid nondestructive detection range of beef quality. The method comprises the following steps: first, arranging a spectral detection system comprising an 8-channel fiber multiplexer, two spectrometers with different wavelength ranges and probe units ina movable control cabinet, wherein the 8-channel fiber multiplexer is respectively connected with the spectrometers and the probe units; embedding in a production line technology to carry out on-linedetection to obtain optimum spectra data, wherein the quality detection of carcass and cut meat can be simultaneously satisfied; establishing a calibration prediction model, evaluating model effects by using relative analytical errors, carrying out model analysis on a large number of sample experimental data, respectively establishing prediction models of tenderness and water content to obtain a predicted value of each index, and then plugging the obtained predicted values into a beef multi-parameter comprehensive quality evaluation model which is established based on the detected indexes to obtain a final meat grade. According to the invention, the spectral information in the visible near-infrared band is collected, the information is abundant, the detection indexes have extensibility, and the method can be suitable for the requirement of production line detection.

The invention relates to an automatic guided vehicle based on magnetic-nail map navigation. The automatic guided vehicle is composed of a vehicle-mounted sensor, an actuator, and a controller. The vehicle-mounted sensor consists of a magnetic ruler, an inertial navigation module, a speedometer, and an RFID reader. The actuator includes a steering system, a braking system and a power system. The guided vehicle is driven on a lane with a magnetic nail; the coordinate of the magnetic nail on the road is known and is stored into the controller; the controller uses the magnetic ruler to measure relative positions of the magnetic nail and the vehicle body on the lane, thereby realizing high-precision positioning of the vehicle. With the inertial navigation module and the speedometer, data fusion is carried out by combining the magnetic nail coordinate information; the controller can calculate an absolute position of the vehicle precisely and continuously; and the actuator is used for realizing high-precision positioning and autonomous driving. According to the invention, the automatic guided vehicle is suitable for various automatic workshops and logistics warehouses. With the vehicle, the manpower can be reduced effectively; and the workshop operation efficiency is improved. The automatic guided vehicle has advantages of high positioning accuracy, excellent control performance, low cost, high reliability, and low maintenance cost.

The invention relates to an orthopaedic case information collecting system and a collecting method thereof. The system comprises a paper medical record scanning and collecting module, an electronic medical record automatic converting module, an orthopaedic image collecting module and a medical record information sharing platform. The orthopaedic case information collecting system can effectively collect orthopaedic case information and processes the information with a unified standard, so that the public can inquire and use the orthopaedic case information conveniently and the problem of unbalanced medical information is relieved.

The invention relates to an electronic product and discloses a doorbell system and an automatic visitor identification method thereof. According to the invention, an infrared detection sensor is used for detecting whether a visitor comes through the temperature difference change in a target detection area; and after the visitor is detected and the doorbell ringing operation of the visitor is still not received after a certain time, the doorbell system actively informs people indoors that the visitor comes. Therefore, infrared rays do not need to be transmitted constantly and actively, and only the radiation of a human body needs to be detected passively, so that the power consumption and the cost of the infrared detection sensor are reduced greatly, the feasibility of applying an infrared detection technique to the doorbell system is ensured, and the people indoors can master abnormal situations outdoors.

The invention discloses a video-based weather phenomenon recognition method. The method achieves classification recognition of common weather phenomena such as sun, cloud, rain, snow and fog. The method comprises the steps of training an off-line classifier, wherein an image sequence is sampled for a given training video; on the one hand, video characteristics of the image sequence are extracted; on the other hand, key frame images and image characteristics of the key frame images are extracted from the image sequence, the AdaBoost is adopted for conducting learning and training on the extracted video characteristics, the extracted image characteristics and manual annotations to obtain the classifier; recognizing the weather phenomena in an online mode, wherein a plurality of sets of image sequences are sampled for a testing video, video characteristics and image characteristics of each set of image sequences are extracted, the characteristics are sent into the classifier for classification to obtain a corresponding recognition result, then decision fusion is carried out in a voting mode, and the voting result is used as the weather phenomenon recognition result of the testing video.

The invention provides an odor identification terminal which comprises an odor collecting module, a characteristic extraction module and a mode identification module, wherein the odor collecting module comprises a gas sensitive sensor array which is used for collecting odor of a sample and converting chemical information of sample gas into an array signal of the sample gas; the characteristic extraction module is used for carrying out characteristic extraction on the array signal to obtain characteristic information; and the mode identification module is used for receiving the characteristic information and carrying out mode identification on the characteristic information to obtain an identification result, wherein the identification result is sample odor information corresponding to the characteristic information. The invention further provides an odor diffusion terminal and an information communication system; and according to the odor diffusion terminal and the information communication system, the problem that the requirement that the smell sense experience of users cannot be met by a traditional terminal is solved and the experience functions of the terminal are enriched and completed.

The present invention discloses a binocular visual image stereo matching method, relating to image data processing. The method comprises the steps of the acquisition and pre-processing of a binocular image, the image gradient matrix solution of the binocular image, the obtainment of an initial disparity map, and the obtainment and output of a final disparity map and the completion of the binocular visual image stereo matching. According to the method, the defect of low matching precision and insufficient real-time performance of the existing binocular stereo matching technology is overcome.