48results about How to "Achieve accurate positioning" patented technology

The invention discloses a high-fineness urban three-dimensional modeling method and relates to the field of three-dimensional digital urban construction, airborne LIDAR (light detection and ranging) is adopted for acquiring original aerial survey data result, and an urban high-precision digital elevation model, a digital orthophoto map and a building three-dimensional body frame model are manufactured on the basis, thereby forming a foundation framework of an urban three-dimensional scene; then a vehicle-mounted movable laser scanning device is used for acquiring vehicle-mounted movable laser scanning original data result, and a high-fineness model of all types of opuscules and ground objects of an urban is acquired by performing the ground object high-fineness three-dimensional modeling under the mode of fusing vehicle-mounted point cloud after precision optimization with a photo according to a ground object parameter model base under the three-dimensional modeling environment; and the foundation framework of the urban three-dimensional scene and the high-fineness model of all the types of the opuscules and the ground objects of the urban are integrated, thereby acquiring a high-fineness three-dimensional virtual urban scene of the urban. With the adoption of the method, production efficiency is improved, project cost is reduced, development cycle is shortened, modeling fineness is improved, and actual application needs can be met.

The invention discloses a method for positioning a key feature point, which comprises the following steps: detecting a face in a target image and determining the face area in the target image as an image to be aligned; extracting the edge information in the image to be aligned to obtain an edge graph of the image to be aligned; detecting all candidate feature points from the edge graph according to a pre-set feature point selecting standard; and selecting a plurality of candidate feature points with the highest match degree with a set reference feature point from the candidate feature points to serve as the finally obtained key feature points. The invention further discloses a device for positioning the key feature point, which comprises an image to be aligned determining module, an edge graph acquiring module, a candidate point determining module and a key feature point determining module. The method and device of the embodiment of the invention can accurately position the key feature point in the face area, and the algorithm of the scheme has the advantages of simplicity, small calculation amount and fast implementation.

The embodiment of the invention provides a network quality monitoring method and a server, relates to the field of Internet, and aims to monitor and show the network quality of a whole network and subnets, highlight objects with severe problems and solve the problem of the need of repeated skip during checking of alarm information and performance indexes. The method comprises the following steps: displaying all regions on a map, highlighting deteriorated regions, and sequentially displaying the KPI (Key Performance Indicator) of each region to form transverse comparison among the regions; displaying alarm information according to time intervals and highlighting unprocessed alarms; displaying alarm object information, alarm basic information, a physical path where an alarm object is positioned and the alarm object in KPI displaying in a time interval to be inquired in a centralized manner; and displaying service paths on the map, wherein segmented paths in each service path can be displayed. The embodiment of the invention is applied to monitoring of the network quality of the whole network and the subnets.

The invention discloses a prefabricated upright post and bearing platform assembled structure, which comprises upright posts and a bearing platform, wherein the upright posts are fixedly connected with the bearing platform to form a whole through a connecting plane of the bearing platform; the upright post is formed by assembling a plurality of prefabricated upright post sections; each prefabricated upright post section is provided with a positioning through hole; and prestressed components are fixedly arranged on the connecting plane of the bearing platform, and the prestressed components also serve as positioning pieces and pass through the positioning through holes. The invention also discloses an assembling and positioning process of the prefabricated upright post and bearing platform assembled structure. The structure design and the process arrangement are adopted, the prestressed components are also used as the positioning pieces, the positioning through holes are reserved in the prefabricated upright post sections, and the positioning pieces are matched with the positioning through holes, so that accurate positioning between the prefabricated upright post section and the bearing platform and between the prefabricated upright post sections is conveniently realized, and good conditions are created for subsequent construction.

The invention discloses a high-precision three-dimensional city modeling method, and relates to the field of modeling. The method is characterized in that firstly high-precision three-dimensional laser point cloud and high-resolution digital aerial photos of a measurement area are acquired by using airborne LIDAR, and high-precision digital elevation models and digital orthoimages are rapidly extracted and high-precision modeling of buildings is performed so that a three-dimensional city electronic sand table and three-dimensional building object frame model scenes are manufactured; secondly, acquisition of the highly dense laser point cloud and the high-resolution digital photos of the city scenes on the both sides of the measurement area is completed by using vehicle-mounted mobile laser scanning measurement, vehicle-mounted data quality optimization is performed by reference to the airborne LIDAR result and then three-dimensional modeling is rapidly performed on various types of sketch elements of the city; and finally the three-dimensional digital model results acquired by airborne LIDAR and vehicle-mounted mobile laser scanning measurement are integrated so that the quality and the working efficiency of three-dimensional city modeling can be greatly enhanced, and the project development cost can be greatly reduced.

The invention discloses a smart archives based on big data, and relates to the technical field of archives management applications. By constructing the archives information resource library, and using the data of the archives information resource library as the connection link of each subsystem, each subsystem provides a special scene service for the archives management application, and realizes the intelligent management and control of the archives, the accurate positioning of the archives, and the Enhanced reading experience and intelligent use of archive data, thereby realizing the standardization, refinement, transparency, and intelligence of the archives digitization process, and the rapid, accurate, and diversified archive retrieval. At the same time, it also realizes the centralized archiving of archive data Management, business application topic classification, data clustering management, document content management and application, global control and intelligent application of cross-departmental data collaboration applications.

The invention relates to the technical field of robot simultaneous positioning and map construction. The invention relates to the field of SLAM detection, in particular to a semantic information fusedvisual SLAM loopback detection method and device. The method comprises the steps of obtaining a video stream image, then offline extracting a key frame from the video stream image, detecting an object-level image in the key frame, extracting features of the object-level image, then matching the features of the object-level image, and carrying out loop-back detection on the key frame, and has invariance on illumination, so that accurate positioning and map construction of a robot are realized.

The application discloses a distribution network fault positioning method and device. The method includes the steps of obtaining a possible fault line set J, according to a possible fault line set JLof observable lines at monitoring points and a possible fault line set JV determined based on upstream and downstream directions of a voltage sag source; according to the possible fault line set J, extracting a first monitoring point of the lowest amplitude of three-phase voltage amplitudes of the monitoring points to determine a fault type of the first monitoring point; according to the possiblefault line set J and the fault type of the first monitoring point, determining the fault distance between an undetermined fault point and the first monitoring point and the fault resistance of the undetermined fault point; establishing a fault positioning model according to the voltage of each phase of each monitoring point, the fault distance and the fault resistance; and according to the fault positioning model, constraints, and a particle swarm algorithm, determining the fault point. Thus, accurate positioning of the fault point is achieved and the fault finding efficiency is improved.

The invention discloses a product analysis method, system and device and a medium, and relates to the technical field of intelligent manufacturing and artificial intelligence, and the method comprises the steps: carrying out the training of cleaned and preprocessed data, and obtaining a classification prediction model; obtaining a predicted value of each production process parameter in the to-be-analyzed data by using the classification prediction model; and calculating and obtaining the SHAP value of each production process parameter based on the predicted value of each production process parameter. According to the method, the names of a plurality of key process links and a plurality of key production process parameters which influence the product quality can be accurately and quickly obtained based on the SHAP value of each production process parameter.

The invention provides a video-on-demand method, a client and an electronic device, which are applied to the technical field of internet. According to the method, I frames in a target video can be used for independently parsing corresponding video images, and the characteristic of using any I frame as a starting point of playing is combined; after the video positioning time of the target video isacquired, if a preview image corresponding to the video positioning time exists, the preview image is obtained and display; if a playing command is received within a preset time period during which the preview image is displayed, playing the content of the target video from the I frame corresponding to the preview image. After the method is adopted, all preview pictures seen by a user are generated according to the parsing of the I frames, the playing of video programs also starts from the I frames corresponding to the preview images, and the preview picture seen by the user is the video imagefrom which the video is started to play, so that the playback content is accurately located, the target video is enabled to be started to play from the content corresponding to the preview image selected by the user, and the user experience is improved.

The invention discloses a multimedia data playing method and apparatus. The method comprises: a first multimedia file is played in a playing interface, wherein indication information of a second multimedia file is also displayed in the playing interface; when the first multi-media file is played, a first playing request for making a request of playing the second multi-media file is received is determined; if so, the second multi-media file indicated by the first playing request is played in the playing interface and playing of the first multi-media file is stopped. With the method and apparatus, a technical problem that flexibility is low because multi-media data is played before a video fixedly in the prior art can be solved.

The invention provides an aircraft landing gear state judgment method based on image recognition, and the method comprises the following steps: 1), continuously collecting an aerial target image through an image collection module erected on an aircraft runway; 2) identifying an airplane and the position of the airplane in the aerial target image by adopting an airplane identification model; 3) acquiring the flight state of the aircraft according to the group of image sequences obtained in the step 2); 4) extracting an aircraft image from the aircraft identification result; 5) identifying the undercarriage in the aircraft image by adopting an undercarriage identification model; 6) extracting an undercarriage image from the undercarriage recognition result, and 7) comprehensively judging whether the folding and unfolding state of the undercarriage is correct or not by combining the flight state of the aircraft and the undercarriage image. According to the invention, through accurate identification of the aircraft landing gear and in combination with the aircraft flight state, state judgment of the landing gear is effectively achieved, and the accuracy and stability of detection are improved.

The invention relates to a natural gas pipeline safety monitoring key technology based on acoustic pulse compression, and belongs to the field of pipeline safety monitoring. The process comprises the following steps that a linear frequency modulation pulse acoustic wave signal is transmitted into a pipeline, a reflection signal is received by a sensor, and is transmitted to an upper computer through a data acquisition card for related data processing, wherein the data processing process comprises the following steps that firstly, matching filtering, envelope extraction and difference value calculation are performed on the collected signal firstly, and then the time difference between the transmission signal and the reflection signal in a difference value curve is calculated so that positioning of the hydrate blockage or the pipeline leakage can be realized. The natural gas pipeline safety monitoring key technology has the main advantages that the positioning precision is high, the real-time performance is good, the system monitoring range is wide, the spatial resolution is high, effective compression of the signal can be realized through the pulse compression technology, the contradiction between the system spatial resolution and the monitoring distance is solved, real-time dynamic monitoring of the hydrate generation process can be realized through the difference value algorithm, and severe noise pollution can be effectively inhibited through the matching filtering technology.

The invention discloses an electrochemical high-flux testing method based on a photolithographic mask and a micro liquid tank and a device and relates to the technical field of metal corrosion, microcell electrochemistry and systematic data accumulation application. The device comprises a micro liquid tank testing system, a testing liquid updating system, a high-precision XYZ three-dimensional moving platform, a microscopic monitoring system, an electrochemical testing system, a storage and control system and a connection system, wherein the connection system is used for controlling instructions and testing data to be effectively transmitted among the systems. Due to modular design, the device is high in expandability; with the combination of a photolithographic mask technique and the micro liquid tank testing system, and a high-flux idea, the reaction area of a working electrode is precisely controlled, a high solution amount/working electrode reaction area ratio is achieved, influence of reaction products is reduced, seam corrosion is eliminated, risks of liquid leakage, blocking and oxygen diffusion are reduced, relatively low solution resistance is achieved, mask graphs and micro-tube sizes can be selected according to demands, high-flux and automatic measurement on microcell electrochemistry are achieved, and the measurement and analysis efficiency are improved.

The invention provides a positioning method and device, a storage medium and an electronic device. The method comprises the steps: respectively determining the positioning information identified by afirst positioning graph and a second positioning graph in a preset coordinate system, and obtaining the first positioning information and second positioning information, wherein the first positioninggraph and the second positioning graph are positioning images obtained in different modes in the same scene; fusing the first positioning information and the second positioning information to obtain third positioning information; and performing positioning based on the third positioning information. According to the invention, the problem that a certain piece of positioning information is invalidor the positioning precision is poor in a part of scenes is solved, and an accurate positioning effect is achieved.

The invention discloses a remote positioning operation control system of an unloading vehicle. The remote positioning operation control system comprises a driving mechanism, radar material meters (1),a scale ruler system (2), a wireless communication module and a control center, wherein the radar material meters (1) are arranged in material bins and are used for collecting material levels in thematerial bins; the scale ruler system (2) is used for collecting positions of the unloading vehicle; the control center is connected with the radar material meters (1), the scale ruler system (2) andthe driving system through the wireless communication module is used for controlling the driving mechanism to adjust the positions of the unloading vehicle according to the collected material levels so as to unload. The remote positioning operation control system of the unloading vehicle overcomes the problem of the manual field operation at the present stage and achieves the electric remote operation of the unloading vehicle.