2209results about How to "Improve positioning efficiency" patented technology

The invention provides a positioning method and system based on a safe driving map and binocular recognition of traffic signs. Primary positioning of a running vehicle is carried out via the positioning system by means of a high-precision map. Meanwhile, images of the part in front of the vehicle are acquired, and traffic signs in the images are detected and identified. Coordinates of the traffic signs are recognized and obtained in the high-precision map, the distance between the vehicle and the signs are measured, and the position of the vehicle is calculated by comparing the coordinates of the traffic signs. In this way, the vehicle is positioned. By means of the invention, on the basis of traditional navigation data, acquisition of road traffic signs is added, roads signs are adopted to help positioning vehicles, the distance between vehicles and traffic signs is measured according to coordinates and sizes of signs which are recognized by left and right cameras, and vehicle positions are calculated according to spatial coordinates of traffic signs which are already stored in the high-precision map, so that submeter-level coordinate positioning is provided and a lane-based topology network is established.

The invention discloses a travelling robot positioning system based on a single camera. In the system, a point model is adopted for representing an environmental model, an off-line map is calibrated, an action model and an observation model are established for carrying out position updating and road sign calibration, Monte Carto particle filter technology is adopted, particle swarm distribution with weights is adopted for representing robot pose estimation, the weights and the distribution of particles are updated through road sign matching processing, field particle distribution is rasterized, and a sub-region with maximal particle density is selected for positioning the robot. As an independent platform, the system greatly improves the map calibration technology on the environmental model, has great flexibility on the identification of ground line sections, and just needs re-calibration but not needs model re-establishment after environment change. The model reduces the matching complexity in visual processing and improves calculation efficiency. The Monte Carlo localization algorithm is expanded on the information integration processing technology, thus ensuring the real-time property and robustness of the system.

The invention discloses an automatic car positioning device of a roller machine tool, which comprises a roller machine tool, a sliding pin in sliding fit with the roller machine tool, a car positioning mechanism mounted on the sliding pin, as well as a sliding pin clamping device and a car adjusting device both mounted on the mounting seat of the roller machine tool. The car adjusting device comprises a support seat, a jacking device fixed below the support seat and driving the support seat to move up and down, and a car support part fixedly connected to the upper part of the support seat; the car support part comprises a slide rail fixed connected to the top face of the support seat and a support rack capable of perform reciprocating movement along the slide rail, and the slide rail is parallel with the length direction of the car; and a tray and a support block in sliding fit with the same are fixed connected to the top of the support rack. In the automatic car positioning device provided by the invention, the car positioning mechanism, the sliding pin clamping device, and the car adjusting device work together to realize precise positioning of the car, the sliding pin, and the roller machine tool, thereby improving positioning accuracy and spray finishing efficiency.

The invention provides a positioning system, a terminal, and a positioning method. The positioning system comprises a reference station, a cloud server and a positioning terminal. The cloud server includes: an acquisition module, which is used for collecting differential data of the reference station in real time; a storage module, which is used for storing the differential data that are collected in real time and information of reference station corresponding to the differential data as well as a corresponding relation between the differential data and the reference station; a determination module, which is used for determining a reference station requested by a differential data request according to the differential data request sent by the positioning terminal; and a sending module, which is used for sending the differential data corresponding to the determined reference station according to the corresponding relation between the differential data and the reference station. According to the invention, the positioning efficiency is improved and the number of equipment used for differential positioning is reduced.

The embodiment of the invention provides a video positioning processing method, terminal equipment and a cloud server. The method comprises the steps of: acquiring user viewing feeling data associated with a playing progress of a video; and based on the acquired user viewing feeling data, carrying out positioning processing on contents of the video. In the embodiment of the invention, the terminal equipment can determine or predict a positioning intention of a user and provides a video positioning service for the user according to viewing feelings of other users for the video; compared with modes of manual dragging and the like, according to the method provided by the embodiment of the invention, the positioning intention of the user can be more accurately known, so that accuracy of video positioning is promoted. Moreover, due to improvement of accuracy of video positioning, a great quantity of positioning operations can be saved for the user, video positioning efficiency can be promoted, and experience of the user is promoted.

The invention discloses a transport network topological structure safety analytical method. The method comprises the steps of firstly, using a node, an apparatus, a circuit, an optical cable, an optical path, a sub-circuit and a sub-optical cable to describe the topological structure of the transport network; then using a graph theory model to express the topological structure of the transport network; and finally using a graph theory to perform structure safety analysis including structure index analysis, optical path route analysis, component failure analysis and / or standby route analysis on the topological structure. The invention also discloses a system for realizing the method. The system is capable of storing, calling and displaying the original data, generated intermediate data and the result data in the analytical processes of the method in real time. The invention can also enhance data normality and accuracy managements, quicken fault location and maintenance efficiency, enhance network risk identification and control, and vividly display network multimedia information so as to improve the accuracy extent and working efficiency of safety management of the transport network topological structure.

The invention discloses an indoor positioning optimization method based on a location fingerprint algorithm. According to the indoor positioning optimization method disclosed by the invention, on thebasis of the existing location fingerprint positioning method, corresponding optimization processing is performed on signal intensity collection, fingerprint database density, fingerprint database accuracy, positioning efficiency and device error, thereby realizing the improvement of accuracy and efficiency of the positioning process. In the positioning process of the indoor positioning optimization method disclosed by the invention, no additional hardware support is needed, therefore the positioning cost is relatively low. The present invention can provide higher positioning accuracy under the condition that the signal strength is measured accurately and the accuracy and the density of the a location fingerprint library are high.

The invention provides a mirror image storage and distribution system for virtual machines. The mirror image storage and distribution system comprises cluster management servers, local object storage servers, DHT-MAP mapping servers and QEMU block drivers, wherein the local object storage servers, the DHT-MAP mapping servers and the QEMU block drivers run on test computers of a distributed cloud computing platform. By the adoption of the mirror image storage and distribution system, batch and fast deployment of distributed cross-region virtual machines can be achieved, and the defects that the period is long, dynamic extension can not be achieved and usability is low when a traditional system and method are used for deploying the virtual machines can be overcome.

The invention relates to a method of improving WiFi fingerprint positioning precision and efficiency. The method comprises steps of in an offline training stage, establishing a fingerprint database used for online positioning, and classifying K-means cluster algorithms adopted in the fingerprint database, wherein signal intensity values of sampling points in the fingerprint database are subjected to data smoothing; and in an online positioning stage, adopting a K nearest neighbor method to find K fingerprints nearest to an actually-measured fingerprint distance, wherein the position of a sampling point corresponding to the mean value of the K fingerprints is the position of a to-be-detected point. The method can improve the positioning precision and efficiency.

The invention provides a method of iris location based on multi-resolution analysis, comprising: locating out rough circle center (x, y) of a pupil via operations, such as binary, mathematical morphology, gray scale, searching for smallest pieces and so on; then searching for a coordinate of a maximum value of the gray scale and gradient in certain rage on a plurality of lines near (x<0>, y) as the coordinate of pupil boundary point, and locating out exact circle center and radius of the pupil via curve fitting; according to precise components of each line of gray serial near the rough circle center (x, y) in the resolution of 2<-5> and 2<-6>, searching for the coordinate of local minimum value point as an external border boundary point of the iris and processing curve fitting to gain exact circle center and radius of the external border of the iris. Adopting the method based on multi-resolution analysis which is provided by the invention can effectively process a positioning operation of iris image, and avoid a problem that traditional arithmetic is sensitive for occlusion of eyelid and eyelash.

The invention discloses a method for accomplishing media content positioning based on EPG server comprising following steps: step 1, EPG server acquires information related to service agency in CDN node providing service to EPG server from total control module; step 2, EPG server acquires multi-cast address of channel from CDN network and stores every channel in multi-cast address in every CDN node; step 3, EPG server performs local media content positioning according to information related to service agency, multi-cast address of every channel in every CDN node. The EPG server acquires necessary data for local positioning from total control module, then performs local media content positioning, reduces pressure of positioning through service agency.

The invention relates to an automatic wing-body docking hole-making system and a method, which belongs to the technical field of operating transport. The method comprises the following steps: mainly utilizing the principle of magnetic positioning to firstly determine the projection position of a blind hole on the outer surface of a wing body and make a mark point; secondly, determining the pose of the mark point in a coordinate system of a hole-making device by image processing technique; and finally, generating corresponding motion control instructions to control a hole making unit to complete the processing of the hole according to the pose of the mark point. The system mainly comprises a hole positioning unit (7000), the hole making unit (1000), a normal vector detection unit (2000), a normal vector pose-adjusting mechanism (3000), a movable vehicle body (4000) and a central control unit (5000). The method and the system can better solve the processing problem of wing-body docking connecting holes.

The invention discloses a quick replacement visual positioning system for a mechanical arm tool in a nuclear environment and a positioning method, and relates to the technical field of special equipment. The quick replacement visual positioning system comprises an image acquisition unit, a target feature extraction unit, a target position and pose calculation module, a mechanical arm attitude calculation module and a mechanical arm control system which are communicated and connected in sequence, and is characterized in that the target feature extraction unit is further communicated and connected with a camera calibration module, and the target position and pose calculation module is further connected with a hand-eye calibration module, thereby solving a problem of how to quickly and accurately position a tool to be clamped on a tool placement frame by a mechanical arm tail end tool clamping head during the process of tool replacement in a radioactive environment, improving the efficiency of tool replacement, realizing multiple purposes of a manipulator, reducing the cost of nuclear three-waste processing, and improving the working efficiency of nuclear three-waste processing.

The purpose of the application is to provide a method and a device for processing service invocation information. Specifically, the method comprises the following steps: acquiring one or more service invocation chains in a distributed service system, wherein each service invocation chain includes one or more service nodes invocated in sequence; building a corresponding service invocation model according to the service invocation chains; and processing the service invocation chains according to the service invocation model. Compared with the prior art, service invocation chains with service node invocation sequence information in a distributed service system are acquired, a service invocation model is built based on the service invocation chains with the same service node invocation sequence, and the invocation information of the service nodes is analyzed on the basis of the service invocation model, and therefore, the problem on how to normally monitor service invocation and quickly locate a running problem is solved; and analysis and monitoring are carried out using big data information of the service nodes, the problem locating efficiency of the distributed service system is improved, and the reliability of the distributed service system is increased.

The invention discloses an electromagnetic interference scanning device and method thereof. The method comprises the following steps: obtaining a near-field scanning result and a far-field measuring result of a measured object through the automatic switchover between the near-field electromagnetic interference intensity scanning and the far-field electromagnetic interference intensity measuring; and positioning the interference source with the maximal contribution to an overproof frequency point according to the near-field scanning result, the far-field measuring result and a pre-stored standard measuring result. The invention improves the positioning efficiency of electromagnetic interference source by the automatic rapid switchover between the near-field electromagnetic interference intensity scanning and the far-field electromagnetic interference intensity measuring.

An underground water supply network water leakage detecting method utilizes a multi-probe dependence tester, and probes of the tester are installed on a pipe network to collect the sound wave data. The method comprises the following steps: a. the probes are installed a pipe network valve, a hydrant or a water meter at internals, and the probes are closely contacted with the pipe network valve, the hydrant or the water meter; b. the sound wave data is collected; c. whether water leakage fault occurs is judged by analyzing the data. By utilizing function relevant principle, the method can calculate the position of water leakage point just by collecting the sound wave data at two points, thus having high locating efficiency; regional water leakage general investigation can be completed by testing for once, the data is easy to store, and the accident analysis can be conveniently carried out; as the data can be automatically collected, recorded and processed, the working intensity and anthropogenic influence can be greatly reduced.

The invention belongs to the technical field of intelligent robots and discloses a real-time robot localization method in a sparse environment. The method comprises the following steps: 1) calculatingan initial predicted pose value of a robot at a corresponding time point in the next frame by virtue of robot laser data; correcting the initial pose value according to up-to-date odometer data and inertial navigation data; 2) determining all possible candidate poses according to a localization scanning window, calculating coordinates of each laser reflection point at each scanning angle after each frame of laser data is acquired; combining map data to calculate discrete scanning data of each scanning angle; 3) calculating a product of a confidence coefficient and a confidence weight of eachcandidate pose as a confidence score of the current pose, and taking a candidate pose with the highest confidence score as a pose at the corresponding time point of next frame data so as to perform optimal estimation. According to the real-time robot localization method in the sparse environment, disclosed by the invention, the localization related calculated quantity is greatly decreased, and thelocalization efficiency and the localization accuracy are obviously improved.

The invention relates to the automation equipment field, and especially relates to FPC flexible printed circuit board automatic processing equipment; a convey structure transports a carrier carrying acircuit board to a first transplant unit; the first transplant unit conveys the circuit board to a punching structure for punching; a second transplant unit conveys the punched circuit board to a positioning feed structure for secondary positioning discharge; a turning structure turns the discharged circuit board; a detection structure detects the turned circuit board to realize precise feeding and blanking; the circuit board is processed by the automatic processing equipment; the positions between the convey structures can be automatically placed; each station can simultaneously realize feeding and blanking functions, thus greatly improving the material piece conveying speed; in addition, instead of using CCD, the automatic processing equipment uses a machinery structure to position, thus improving the positioning efficiency, greatly improving the attaching efficiency, and effectively preventing oxidation influence and non-uniform working strength problems caused by using fingers topaste chips.

The invention relates to a robot positioning and mapping method and device based on a depth image, a computer device and a storage medium. The method comprises the following steps: using an RGB-D camera for carrying out surrounding environment detection; acquiring an RGB image and a depth image; based on an RGB image and a depth image, determining continuous image frames, calculating continuous image frames by adopting a sparse direct method; obtaining an initial pose of the current frame; few calculations are carried out; determining initial pose, increasing the pose acquisition speed; meanwhile, calculating and optimizing the initial pose of the current frame by adopting a feature point method; obtaining an accurate pose of the current frame; the illumination change or the fast movementis ensured; according to the accuracy of pose estimation, performing key frame selection according to the accurate pose of the current frame to obtain a key frame sequence, performing local mapping and optimization based on the key frame sequence to generate an environment map. The environment map is generated efficiently and accurately, and the efficiency and accuracy of robot positioning and mapping are improved.

The invention provides an LED (Light Emitting Diode) indoor positioning navigation method and a positioning navigation system. An LED lamp serves as an emitting terminal; an emitting terminal driving device is used for controlling the strength of current so as to cause the change of brightness of the light and transfer the physical position data; the data frame with clear hierarchy of code element information is designed; zero bit filling is introduced into the sending and receiving of the data frame, so as to realize the transparent transmission and distinguish the frame header, the verifying code of the physical position information and the frame tail; the frame header has a specific coding sequence and can be detected, so that the validity of the data frame can be judged; the frame length of data frame can be analyzed; the invalid data frame can be timely detected and abandoned; different sizes of LED lamp sets with grid unit topology network structures can be designed according to different illuminating areas; only one of the LED lamps of a positioning unit is used for emitting the data frame at each time slot, and meanwhile, the other LED lamps all emit equidistant full zero data frames; the inter-symbol interference and the background noise are extremely reduced; the safety and reliability of the data frame are ensured.

The invention provides a high-precision inter-satellite laser ranging assistant precise point positioning method. According to the method, a navigation satellite carries a high-precision inter-satellite laser ranging load; a ground operation control system determines a system deviation parameter between a signal receiving and transmitting starting point of satellite laser ranging equipment and a phase center of an L-waveband satellite load antenna and uploads the system deviation parameter to the satellite; the satellite arranges inter-satellite ranging information and system deviation information into a transmitting sign; a ground point positioning user receives the inter-satellite laser ranging information and the system deviation information while receiving an L-waveband navigation signal; and an inter-satellite laser ranging observed quantity, an L-waveband pseudo-range, a carrier phase observed quantity, a navigation message, a precise orbit product and other data are utilized ina combined mode to complete precise point positioning, so that the precise position of the user is determined. Through the method, positioning initialization time can be shortened, the requirement onprecise clock correction and orbit product update frequency is lowered, and kinematic precise point positioning efficiency is improved.

The invention discloses a server fault automatic detection system and a detection method based on a decision tree, which combines an expert system and an IPMI management unit to generate a historicaldata set. The server running state data, i.e. Abnormal data stream, is obtained by IPMI management unit. According to the abnormal data stream, the new fault feature vector is extracted, and the new feature vector and the fault cause relation pair are formed into a fault data set, and the fault data set is trained into a self-diagnosing decision tree model. When the server fails while running, thecorresponding fault feature vectors are extracted, the fault types are automatically judged by the self-diagnostic decision tree model, After the fault is cleared, the fault feature vector and the fault cause relation are updated and the self-diagnosing fault tree model is updated. Therefore, the fault diagnosis system will be more accurate and reliable with the improvement of the history fault set.

The invention relates to a rapid data positioning method based on path division and multi-distributed-directory, and the method belongs to the technical field of computer applications. The method introduces the data path division, the data path similarity, the multi-distributed-directory and other mechanisms for a structured peer-to-peer network application system which can only store data in local nodes, thereby solving the problems of low efficiency of data positioning, poor effectiveness, poor stability and poor robustness of a Squirrel system which is based on the structured peer-to-peer network. The method can be widely applied in the structured peer-to-peer network application systems which store the data in the local nodes; the method takes an ID marker of a data object path as the input, rapidly and stably positions the position of the node located by the distributed directory containing the position of the data in the similar nodes within the range of (key1 path host node, HOME path host node) and further achieves the high-efficient data positioning.

The invention discloses a multi-unmanned aerial vehicle cooperative malodor source tracing method based on particle swarm optimization. The method comprises: setting a suspected malodor pollution source area through an artificial olfactory method, dividing the suspected malodor pollution source area into multiple sub-areas according to the number of unmanned aerial vehicles, measuring a wind direction through a wind direction measuring instrument so that the unmanned aerial vehicle can conveniently search into the wind, the search efficiency is improved, the number of particle swarms is reduced and a cost is reduced, transmitting information to the ground center of the PC end through the unmanned aerial vehicles through wireless transmission modules to exchange information, continuously updating positions of the unmanned aerial vehicles through the ground center of the PC end based on particle swarm optimization, transmitting the novel position information to the unmanned aerial vehicles, continuously updating the position information through the unmanned aerial vehicles so that the unmanned aerial vehicle gradually approaches the pollution source, and when the unmanned aerial vehicle continuously hovers at a certain position, a circle with the radius of about 1 m is formed and the gas sensor concentration of each unmanned aerial vehicle is higher than a certain threshold, andjudging and researching a malodor pollution source.

The invention discloses a Zigbee networks visible light positioning wireless charging system and a method. The system includes a wireless charging device and a Zigbee network node; the wireless charging device and the Zigbee network node communicate with each other through a Zigbee protocol; the wireless charging device includes a wireless charging module and a light source detection module; and the Zigbee network node comprises a gateway node, a coordinator and a terminal node, wherein the coordinator is used for coordinating the communication between the gateway node and the terminal node. As for a situation that wireless charging does not require accurate positioning, the invention provides a simple and convenient visible light positioning scheme. The visible light positioning scheme has the advantages of high positioning efficiency and simple computation, and can greatly improve wireless charging efficiency.

The invention relates to a signal intensity-based multi-object positioning method in a dynamic environment. According to the method, a wireless signal map is established only by utilizing received signal intensity information when a multipath effect exists indoor, so that the map can be used for determining the positions of a plurality of target objects at the same time; and moreover, the map does not need to be established repeatedly when the environment changes. According to the method, fingerprint identification information is acquired first, a signal intensity value corresponding to sight distance is stored in a database, and then comparison is performed during a target object positioning stage; the obtained sight signal intensity can be directly applied to positioning by distinguishing a sight path from a plurality of paths; and therefore, the positioning accuracy is improved; and the precise positioning is performed in a dynamic indoor environment.

The invention discloses an indoor positioning method and positioning device based on multi-source information fusion. The method comprises the following steps: acquiring information map information, dispersing the indoor map information as a plurality of uniform lattice points to obtain the latticed indoor map information, and establishing connectivity among the dispersed lattice points; acquiring pedestrian track plotting information obtained by a mobile terminal based on user walking so as to obtain change information with the probability on the plurality of uniform lattice points according to the indoor map information and the pedestrian track plotting information; and acquiring assistant positioning information to modify the probability on different lattice points, and then fusing the latticed indoor map information, the pedestrian track plotting information and the assistant positioning information through the Bayesian filtering to finish the indoor positioning. Through the adoption of the positioning method disclosed by the embodiment of the invention, the indoor map information, the pedestrian track plotting information and the assistant positioning information can be fused to realize the aim of high-precision indoor positioning; not only is the positioning precision improved, but also the positioning efficiency is improved; and the positioning is simple and easy to realize.

The invention discloses an electromagnetic induction device and a touch positioning method thereof, belonging to the field of electromagnetic handwritten input. The touch positioning method provided by the invention comprises the following steps of: simultaneously gating at least two groups of transmitter coils and receiving coils for scanning, detecting and recording an electromagnetic pen signal; primarily positioning an electromagnetic pen according to the maximum value of the detected electromagnetic pen signal and a coil combination corresponding to the maximum value after all boundary transmitter coils and boundary receiving coils in an antenna plate zone are scanned; and accurately positioning the electromagnetic pen according to the coil combination corresponding to the maximum value of the electromagnetic pen signal if the maximum value of the electromagnetic pen signal is smaller than a preset initial positioning threshold value, or else processing the combination of the receiving coils and the transmitter coils corresponding to the maximum value of the electromagnetic pen signal to confirm the position of the electromagnetic pen. The method provided by the invention can be adopted to rapidly realize the accurate positioning of the electromagnetic pen and can effectively avoid the problems of contact loss, delayed positioning, and the like when the electromagnetic pen rapidly moves.

The invention relates to a downhole fracturing microseismic event identification method applied to hydraulic-fracturing microseismic monitoring. Downhole geophones are utilized to collect records during hydraulic fracturing, three-component data are subjected to polarization rotation, an energy ratio between given front and back time windows is computed in a time domain, an energy ratio between a radial component and a vertical component in the time domain, an energy ratio between front and back time windows in a main frequency band of a frequency domain and a time difference evening and superposition curve of multiple perforation signals are integrated, and microseismic events with different energy levels generated during fracturing are identified. By the method, identification efficiency of one-site effective microseismic events is improved effectively, meanwhile failure in effective event identification due to the fact the microseismic events have no amplitude response on a single component is avoided, strong energy noise interference is removed effectively, and classification of the events of different levels and types is facilitated by setting of different threshold values.