95330results about How to "Practical" patented technology

The invention discloses a special unmanned helicopter system suitable for routing inspection on a power grid in a mountain area, which comprises a sensor network, an information transmission network and an information processing center. According to the special unmanned helicopter system suitable for routing inspection on the power grid in the mountain area, which is disclosed by the invention, in the complex terrain environment of the mountain area and under the complex weather conditions of the mountain area, a medium-sized special unmanned helicopter system suitable for routing inspection on the power grid in the mountain area and an application method thereof can be provided. According to the invention, effective fusion of cutting-edge advanced technologies such as an unmanned aerial vehicle platform technology, a data chain communication technology, a GIS (Geographic Information System) technology, a visible light / infrared / ultraviolet high definition shooting, storage and transmission technology, a distance measuring and sensing technology and an image diagnostic evaluation technology is sufficiently utilized to implement daily routing inspection on a power transmission line.

A vehicle system is disclosed that includes a vehicle lamp assembly including a plurality of LEDs that emit white light so as to function as an illuminator light. The lamp assembly also may include a plurality of LEDs that emit colored light to function as a signal light. The lamp assembly may include a camera. The lamp assembly may serve as a CHMSL or as a tail light. The system also includes a controller that rapidly pulses the LEDs at a rate that is imperceivable by the human eye. The pulsing intervals of the LEDs may be related to the readout intervals of the camera sensor array. In this manner, the LEDs may be pulsed on during camera readout to increase the illumination while the camera is capturing an image, or may be pulsed off during camera readout to prevent feedback glare from interfering with image capture by the camera.

The invention provides a computing method of surplus energy of a lithium-ion battery and a device thereof. The method makes use of the combination method of the open circuit voltage of a lithium-ion battery pack and electric energy integral to compute the energy of charge and discharge, and according to the size of the open circuit voltage and the charge and discharge current, the DC impedance of the lithium-ion is computed in real time, and then the parameters such as DC impedance, charge and discharge currents, and the like, are used for determining the corresponding open circuit voltage of the available surplus energy of the lithium-ion battery pack under present circumstances when the discharge reaches a final voltage; on the basis of the present open circuit voltage, the actual surplus energy of the lithium-ion battery pack is computed when the discharge reaches the final voltage at last, the battery surplus energy available is obtained by the largest surplus energy minus the surplus energy in discharge termination condition. The computing method of the invention is applicable to accurately estimating the surplus energy of the battery in various conditions and the usage characteristics of a power battery and has the advantages of high accuracy, comparatively high practicability and high popularization value.

A method to authenticate a server to a client is provided, including in-band and out-of-band techniques. At least a first shared secret identifies a server path, including a plurality of pre-defined locations on a frame of reference (e.g. a grid). An authentication session is initiated upon receiving a client identifier at the server-side resources. A current session instance of the grid is presented to the client, populated with characters. The process includes sharing between the client and the server a challenge identifying a random subset of the plurality of predefined locations in the server path, and a response including characters that match the characters in the locations on the server path identified by the challenge. As a result, client is capable of verifying that the server has access to the first shared secret. Then a protocol is executed to authenticate the client to the server.

A transplanting method of big camphor trees comprises selection of the big camphor trees, transplanting, transplanting transportation of trees, planting and planting management. Particularly, the angle of a planting sunny side cannot be deviated by over 10 degrees, root irrigation is performed by using ABT rooting powder, microorganism fertilizer, bactericide liquid chemical and the like which are used in backfill soil according to a fixed proportion, and 1-naphthylacetic acid alcohol water solution of 100-200ppm is used for irrigation after planting of the big camphor trees. The special technical processing of camphor transplanting is that 1-naphthylacetic acid auxin of 0.01-0.03% is added to used mud, the theory of a big wiping head and a big soil ball is adopted, 1-naphthylacetic acid rooting powder is added to the root portions during transplanting, leaves are picked instantly after planting, a blade surface agent is sprayed to new leaves, and originality is provided in the overwintering and antifreezing aspects. By means of the transplanting method, transplanting survival rate of the camphor trees with the tree age below 20 years is over 99%, and transplanting survival rate of the camphor trees with the tree age over 20 years is over 95%. The transplanting method of the big camphor trees can be suitable for transplanting of big trees and old trees under the conditions of other different altitudes, longitudes and latitudes, climate and the like.

The method comprises: using a sensor to collect the characteristic signals; the collected signals about each kind of running state are sent to the data processing module; after processed, the signals are sent to the computer system; said computer system comprises a device database, a symptom event database, a diagnosis knowledge database; a device database and signal analysis module, a symptom acquiring module, a diagnostic reasoning module, and a diagnosis explaining module; the software of the data processing module makes data exchange; the symptom event database exchanges data with the diagnostic module, data processing module; the diagnostic knowledge exchanges the data with the failure processing module, knowledge acquiring module and data processing module.

The invention relates to a horizontal well directional sand blasting perforation and fracturing integral tool pipe column and a construction method thereof. The tool pipe column comprises a safe joint, a first centralizer, a first rotating joint, a hydraulic sand blasting device, a second rotating joint, a second centralizer, a packer, a coupling positioning device and a guiding shoe, wherein the safe joint is arranged at the left end of the tool pipe column; the guiding shoe is arranged at the right end of the tool pipe column; the left end of the safe joint is connected with an oil pipe; the first centralizer, the first rotating joint, the hydraulic sand blasting device, the second rotating joint, the second centralizer, the packer and the coupling positioning device are sequentially arranged between the right end of the safe joint and the guiding shoe from left to right. The horizontal well directional sand blasting perforation and fracturing integral tool pipe column and the construction method provided by the invention have the advantages that the structure of the tool pipe column is simple; the directional san blasting perforation can be realized; the stratum energy is released to the greatest degree; the problem of shot hole compression zone of gunpowder perforation can be solved.

The invention discloses a method and a system for identifying moving objects. The method for identifying the moving objects comprises the following steps: detecting the objects, namely extracting interesting areas from a video image; tracking the objects, namely establishing the association and consistency between the extracted areas between the frames to form the objects; and classifying the objects, namely classifying the areas and the objects by a classification method, wherein the classification method comprises an area classification method and an object classification method. The method and the system realize detection, tracking and classification of the moving objects, and solve the problems of image jitter, brightness change, shadow, leaf swing and the like.

The invention discloses an internet-of-things based medical management monitoring system. The system comprises user terminal equipment worn on a patient and a server for realizing management monitoring, wherein the user terminal equipment is communicated with the server through a wireless network; the user terminal equipment comprises a physiological parameter sensor for detecting a physiologicalparameter of the patient, an input module for inputting disease state data of the patient and a first wireless transmitting and receiving module for transmitting the physiological parameter or the disease state data to the server and receiving a diagnosis instruction of the server; and the server comprises a second wireless transmitting and receiving module for receiving the data transmitted by the user terminal equipment and transmitting the diagnosis instruction to the user terminal equipment, a remote diagnosis module for remote diagnosis of a doctor and an alarm processing module for comparing according to the detected physiological parameter of the patient and a set physiological parameter threshold and giving out an alarm. By using the system, the physiological condition of the patient can be monitored in real time; and the system has high intelligence and high practicability.

The invention relates to a method and a device for automatically distributing online customer service executives to conduct customer service. The method includes that a service queue formed by the customer service executives is built; a client consultation request is sent to a server; the server transmits characteristic information of clients, the consultation request and characteristic information of the consultation request to a routing selection unit of the server; the server builds at least one consultation queue formed by the clients; the server distributes the consultation to the corresponding service queue according to a preset distribution strategy and then sequentially and automatically distributes the clients of the consultation queue to specific customer service executives of the service queue, and a conversation connection request is sent to a client side instant communication terminal through the server; the client side instant communication terminal receives and responds to the conservation connection request, and builds direct conversation connection with the customer service executives to enable the customer service executives to conduct client consultation service; after the consultation service is finished, conservation connection between the clients and the customer executives is broken, then the server recalculates customer service executive weights and rearranges the service queue.

The invention provides an annular thin-wall article clamping device and a using method of the device. The clamping device comprises an annular chassis; the chassis is provided with a radial regulation mechanism of a locating workpiece; the radial regulation mechanism is divided into an inner radial regulation mechanism and an outer radial mechanism; two radial regulation mechanisms position workpiece respectively from the inner side or the outer side of the workpiece; the chassis is respectively provided with track-directed sliding grooves for the two radial adjustment mechanisms; the inner end of the sliding groove of the inner radial regulation mechanism is provided with a stopping block; the outer end of the sliding groove of the outer radial regulation mechanism is provided with the stopping block; the sliding grooves of the two groups of radial regulation mechanisms are disposed at intervals; one of the two groups of radial regulation mechanisms is provided with an axial compacting mechanism for fixing the workpiece; and the axial compacting mechanism is displaced alternatively between the two groups of radial regulation mechanisms when turning the workpiece. The clamping device can realize the processing of two side walls of the workpiece by clamping the workpiece once, and is fit for the clamping of the workpieces with different specifications. The device has the characteristics of high use rate, strong practical applicability, good generality, time saving and labor saving, light labor intensity, high production efficiency and the like.

The invention discloses a face detection and recognition method based on skin color segmentation and template matching. A face is segmented with the use of a face skin mixing Gauss model according to the clustering characteristics of face skin color in an YCbCr color space and a region of which the color is close to face skin color is separated from an image so as to achieve the purpose of quickly detecting the outer face of a face. A light compensation technology is used to overcome the influence of brightness on face detection and recognition. Adaptive template matching is used to overcome the influence of a skin-color-alike background on face detection and recognition. A secondary matching algorithm is adopted to reduce the amount of computation during the matching process, and singular value features of a face image are extracted to recognize a face and achieve the purpose of reducing the number of dimensions of a characteristic value matrix in the process of face feature extraction. The face detection and recognition method can quickly detect a face, improves the accuracy of face detection and recognition, is strong in practicability and has strong popularization and application values.

The invention discloses an ecological scale breeding method of green shell egg laying hens. The method mainly includes the following steps: (1) selecting breeding hens; (2) stocking in a rotational grazing mode in woodland and meadow; (3) selecting hatching eggs; (4) incubating the hatching eggs with an incubator; (5) managing broods of the green shell egg laying hens; (6) managing feeding of the green shell egg laying hens; and (7) preventing epidemic diseases of the green shell egg laying hens. The method is strong in systematicness, changes traditional breeding technology of the green shell egg laying hens, combines with effective breeding measures, improves quality of the breeding hens and the hatching eggs and production capacity of the green shell egg laying hens, increases egg weight and egg yield, and lowers morbidity and mortality rates of the green shell egg laying hens.

The invention relates to a systematic calibration method of a welding robot guided by a line structured light vision sensor, which comprises the following steps: firstly, controlling a mechanical arm to change pose, obtaining a round target image through a camera, accomplishing the matching of the round target image and a world coordinate, and then obtaining an internal parameter matrix and an external parameter matrix RT of the camera; secondly, solving a line equation of a line laser bar by Hough transformation, and using the external parameter matrix RT obtained in the first step to obtain a plane equation of the plane of the line laser bar under a coordinate system of the camera; thirdly, calculating to obtain a transformation matrix of a tail end coordinate system of the mechanical arm and a base coordinate system of the mechanical arm by utilizing a quaternion method; and fourthly, calculating a coordinate value of a tail end point of a welding workpiece under the coordinate of the mechanical arm, and then calculating an offset value of the workpiece in the pose combined with the pose of the mechanical arm. The systematic calibration method of the welding robot guided by the line structured light vision sensor is flexible, simple and fast, and is high in precision and generality, good in stability and timeliness and small in calculation amount.

The invention provides an intelligent comprehensive monitoring and security integrated management system for a parking garage. The system solves the comprehensive intelligent management problems of related automatic monitoring, automatic detection, display, different languages and voices, communication, dispatching, guide, digital quantity identification, security, forbidding and passing, charging, statistics, self diagnosis and maintenance and the like of various self-propelled and automatic three-dimensional mechanical parking garages. The system has significant meanings for improving the monitoring, security and management levels of various parking garages, promoting static traffic modernization construction and increasing the social and economic benefits of the parking garages.

The invention discloses a method for dynamically monitoring the health status of a wind turbine gearbox in real time in the technical field of status monitoring and fault diagnosis of rotating machinery. The method comprises the following steps: acquiring a vibration signal and operating and monitoring data of the gearbox; analyzing the vibration signal of the gearbox to obtain the time domain feature and frequency domain feature of the vibration signal of the gearbox and the envelope spectrum feature of an envelope signal; establishing an operation condition space for the gearbox and dividing the operation condition space of the gearbox into a predetermined number of operation condition sub-spaces of the gearbox according to the operating data of the gearbox; generating a health status feature library for each component of the gearbox from an obtained operation monitoring historical data subset; establishing a health status evaluation model to obtain a health status real-time evaluation model under each operation condition and the health index of each component; and finally, calculating the health index of the gearbox. With the method, the health status evaluation model is established, the complexity of determining a monitoring threshold under a complex dynamic operation condition is avoided, and the defect of linear distortion caused by the simple increment of multi-feature parameters is overcome.

This system reads the lip movement of the video creature to recognize the speaking content. Its aim is to use the video info only to recognize the lip language of the single syllable word (SSW), e.g. in Chinese language. This invention includes the video demodulating module, the lip allocating module. The lip movement dividing module, the feature drawing module, the language material warehouse (LMW), the model establishing module and the lip language recognizing module. This LMW possesses rich contents and is easy to expand. This invention processes only video images and need not the audio data to help. It can process video files, e.g. avi, wmv, rmvb and mpg to meet the requirement of recognizing the talking content under soundless condition. The lip movement part in this invention aims SSW to handle intelligently dividing. Comparing with the solid length time dividing or the handwork dividing, this method is more practical and greatly raises the recognition accuracy.

The invention discloses a method for recognizing a road traffic sign for an unmanned vehicle, comprising the following steps of: (1) changing the RGB (Red, Green and Blue) pixel value of an image to strengthen a traffic sign feature color region, and cutting the image by using a threshold; (2) carrying out edge detection and connection on a gray level image to reconstruct an interested region; (3) extracting a labeled graph of the interested region as a shape feature of the interested region, classifying the shape of the region by using a nearest neighbor classification method, and removing a non-traffic sign region; and (4) graying and normalizing the image of the interested region of the traffic sign, carrying out dual-tree complex wavelet transform on the image to form a feature vector of the image, reducing the dimension of the feature vector by using a two-dimension independent component analysis method, and sending the feature vector into a support vector machine of a radial basis function to judge the type of the traffic sign of the interested region. By using the method, various types of traffic signs in a running environment of the unmanned vehicle can be stably and efficiently detected and recognized.

The invention discloses a multi-rotor unmanned aerial vehicle for fast surveying and a surveying method of the multi-rotor unmanned aerial vehicle, and belongs to the technical field of aviation surveying. The multi-rotor unmanned aerial vehicle comprises a rack, flight lifting mechanisms, a cloud deck mechanism and a control mechanism, wherein four plane arms extend out from the rack along a plane body, the lower part of the plane body is provided with foot stools, the plane arms and the foot stools are of foldable structures; and the flight lifting mechanisms are arranged at tail ends of the four plane arms, the cloud deck mechanism is mounted at the bottom of the unmanned aerial vehicle body through a mounting rod; the cloud deck mechanism is provided with a camera and is used for regulating an optical axis of the camera to be always perpendicular to the ground; and the control mechanism is used for controlling the unmanned aerial vehicle to fly to the appointed height and regulating the overturn of the cloud deck mechanism. The surveying method disclosed by the invention can be used for determining the relation between the shooting height and the imaging proportion by analyzing camera lens parameters, and then setting the flight line of the unmanned aerial vehicle. Through the adoption of the unmanned aerial vehicle, the surveying result can be fast obtained, and the surveying precision and efficiency are high.

The invention provides a new indoor accurate positioning system based on a RFID technology. The system is shown in a figure 1 and mainly comprises components, such as RFID reader-writers, RFID reference tags, RFID track tags, and the like, and a user can obtain corresponding positioning service by connecting a personal intelligent device to a wireless local area network. The system uses wireless signal intensity as a positioning reference, the tags are communicated with the reader-writers by radio waves, and each reader-writer can read and record the signal intensity of all tags at set intervals. A certain reference tags at known positions are used as reference points, and the signal intensity of the track tags are compared with the signal intensity of the reference tags by the positioning method according to the signal intensity characteristics of the reference points so as to obtain more accurate position information of the track tags.

The invention discloses a vehicle information remote monitoring and fault diagnosis system. The system comprises an intelligent vehicle-mounted terminal which is installed on a vehicle and is used foracquiring vehicle fault information and real-time state information, a cloud server platform and an intelligent mobile terminal. The system is used for instantly analyzing and processing a vehicle fault, and graphically displaying the various kinds of data of a vehicle on the intelligent mobile terminal. The invention also provides a vehicle remote diagnosis method. When the vehicle has a fault,the vehicle-mounted terminal can automatically transmit a fault code to cloud, a cloud management platform analyzes the fault code and matches a corresponding solution scheme to the user vehicle-mounted terminal, nearby selectable repair manufacturers are pushed to a user via GPS, and the user can check the real-time operation state information of the vehicle through the intelligent mobile terminal APP. Through the intelligent mobile terminal, a driving habit and vehicle fault hidden troubles are checked. A driver can correct a bad driving habit through the mobile terminal and potential safetyhazards of the vehicle are reduced.

The invention belongs to the technical field of floor sweeping robots, and provides a room map building method and device for a floor sweeping robot. The method comprises the steps that an indoor area is swept in a full coverage mode, and position coordinates of obstacles and a room map are generated according to the full coverage sweeping process; the room map is divided into multiple subareas according to the position coordinates of the obstacles in the room map, and a sweeping path is planned for each subarea; and sweeping is carried out according to the planned sweeping paths, and the position coordinates of the obstacles, the room map and the sweeping paths are updated. By means of the room map building method and device, working efficiency of the floor sweeping robot can be improved. In addition, operation is convenient, implementation is easy, the application range is wide, and usability and practicability are high.

The invention discloses a circle center locating method of a circular target, mainly relating to a great deal of target identification and target location. Firstly, rough circle center location is carried out to an image by using a simple contour centroid method, a key square region is extracted as a region of interest according to the information of a rough location circle center and a rough location radius, and pixel-level edge location is carried out to the circular target in the region of interest by a canny operator; then sub-pixel location is carried out to the circular target according to the geometric features and the gray information of the circle, therefore, a precise coordinate of sub-pixel edge points is obtained; after that, a curvature filtering method and an average filtering method are respectively used for filtering 'isolated points' and noise occurring in the sub-pixel edge points; finally, a least squares method is utilized to fit a circle to the filtered sub-pixel edge points so as to obtain the final circular center and radius. The method not only effectively improves the precision of circle center location, but also improves the robustness thereof, thus further improving the measurement precision of a measurement system and perfecting the stability of the measurement system.

The invention discloses an image super-resolution reconstruction algorithm based on a shallow convolution neural network and a deep convolution neural network. The method comprises the following steps: 1) selecting a training sample and a testing sample; 2) performing extracting, mapping, upsamping and multi-scale conversion to the deep network characteristics; 3) extracting the characteristics of the shallow network; and 4) combining the shallow network and the deep network. Compared with the prior art, with regard to the single image reconstruction and video sequence reconstruction, the algorithm of the invention can accurately and effectively reconstruct the model of a high-resolution image so as to obtain a good reconstruction effect. In addition, multi-scale detail characteristic extraction is achieved, and the algorithm has better results than that of other existing algorithms. The reconstruction speed is also fast.

The invention relates to a human motion capture device which comprises motion measuring units, a motion parameter estimation unit, an initialization unit, a display estimation unit and an overall integration unit; the motion measuring units are attached on all the limbs of a human body and are used for measuring the motion data and the environmental data of all the limbs; the motion parameter estimation unit deducts the motion parameters and the environmental parameters of all the limbs, and when in deduction, a self-adaptive anti-interference three-dimensional angle estimation method is adopted to deduct the three-dimensional angle values of all the limbs; the initialization unit is used for receiving and integrating the motion parameters and the environmental parameters of all the limbs, and deducting the initial operation parameters of the human body motion capture device; the displacement estimation unit is used for receiving and integrating the motion parameters and the environmental parameters of all the limbs as well as the initial operation parameters of the human body motion capture device, and deducing the displacement of the human body relative to the ground; and the parameters and the displacement of the human body relative to the ground are finally integrated together by the overall integration unit, so that the position and the gesture of the overall motion of the human body are worked out and output.

The invention discloses a three-dimensional printer with a replaceable nozzle. The three-dimensional printer comprises a three-dimensional adjusting mechanism, and the printing nozzle which performs three-dimensional printing under the adjustment of the three-dimensional adjusting mechanism, wherein the printing nozzle comprises a nozzle bottom plate, a nozzle thermal preservation sleeve which is fixed on the nozzle bottom plate and is provided with a printing through hole and a positioning notch, a material tube which is radially clamped on the nozzle bottom plate, and a linear stepping motor; the material tube is axially clamped in the positioning notch through a material tube pressing plate which is in sliding fit with the nozzle bottom plate; a piston presser used for pushing a piston in a first material tube is fixed at the output end of a lead screw of the motor. When materials in the material tube are used up or the materials are needed to be replaced, the printing nozzle is controlled to automatically replace the material tube, and a three-dimensional object consisting of multiple materials can be printed. The piston is driven to be extruded by adopting the linear stepping motor, thrust is high and can be accurately controlled, and the blockage of the nozzle is avoided. According to the printer, liquid foods and multiple liquid materials such as gel and ceramic powder can be printed.

A method combining analytic hierarchy process and fuzzy algorithm is provided to evaluate grid electricity quality, including establishing a power quality comprehensive evaluation index system, realizing a comprehensive evaluation of the grid electricity quality status and grid electricity quality in different areas and so on. The invention overcomes the limitation of traditional single-index and single-point power quality evaluation, forming a comprehensive and practical power quality evaluation index system with technical and data support provided for the safe and stable operation of electricity grid.

The invention provides a universal circuit breaker mechanical fault diagnosis method based on feature fusion of vibration and sound signals. The method includes steps of 1, collecting machine vibration signals and machine sound signals during an engaging and disengaging process of a universal circuit breaker; 2, adopting an improved wavelet packet threshold value denoising algorithm for denoising; 3, adopting a complementary total average empirical mode decomposition algorithm for extracting a plurality of solid mode function components reflecting state information of engagement and disengagement actions of the circuit breaker from the denoising signals; 4, determining the number Z of the solid mode function components; 5, calculating the energy ratio, the sample ratio and the power spectrum entropy as three types of features; 6, adopting a combination core principal component analysis method for performing dimension reduction on a feature sample with unified three types of features of the vibration and the sound signals and obtaining M principle components; 7, establishing a related vector machine based sequence binary tree multiple classifier model.

The embodiment of the invention discloses a face recognition method and a device. The method comprises the steps of extracting the Haar feature of a current to-be-recognized face image, and detecting the human face area of the to-be-recognized face image by adopting an ADaBoost classifier so as to obtain a face region image; performing the multi-scale feature extraction on the face region image by utilizing a convolution neural network model, and obtaining a feature vector of the face region image; inputting the feature vector, a pre-built legal face database and a preset user similarity threshold value into a multi-task learning model pre-constructed according to a Softmax loss function and a Triplet loss function, and judging whether the to-be-recognized face image is a legal user or not according to the output value of the multi-task learning model. The extracted feature is good in robustness and good in generalization ability. Therefore, not only the face recognition rate improved, but also the accuracy of face recognition is improved. The safety of identity authentication is improved.

This invention relates to an automatic driving system of a road vehicle, especially to a system which providing automatic driving information indication for traveling vehicles and realizing vehicle automatic driving through the vehicle automatic control system, which is characterized by comprising: fixing markers at interval along a road travelling line, receiving information feedback by the fixed markers through a set relay information station and forming the vehicle and road information on the road, and constantly supplying the road and vehicle information of the road where the vehicle is to a vehicle automatic receiving processor after the received GPS(Global Position System) information and the vehicle and road information on the road are overall treated, installing an automatic driving software in a vehicle-mounted computer which can receive and treat relevant information of the relay information station at any time, constantly sending operation instructions to a vehicle automatic controller so as to keep the vehicle travelling information direction line consistent with the vehicle driving speed direction line, and sending instructions to the vehicle automatic controller according to the selected mode by a driver so as to realize vehicle automatic driving.