481results about How to "Solve positioning" patented technology

The invention discloses a movement capturing method based on multiple binocular stereo vision. A movement video collecting device is constructed, and human movement video sequences from different orientations are collected by the movement video collecting device. Multiocular movement video sequences shot by a plurality of cameras are calibrated. Marked points matching and tracking of each binocular tracker is finished. Data fusion of three-dimensional tracking result of multiple binocular trackers is completed. The three-dimensional movement information of the marked points acquired by a multiocular fusion device is fed back to the binocular tracker to consummate binocular tracking. On the basis of binocular three-dimensional tracking realized by binocular vision, the invention fuses multiple groups of binocular three-dimensional movement data, resolves parameter acquiring problem of three-dimensional position, tracking, track fusion and the like for a plurality of marked points, increases number of traceable market points and enables the tracking effect to be comparable with three-dimensional movement acquiring device employing multi-infrared cameras for collecting.

The invention discloses a semi-automatic laminating machine and a laminating method thereof. The semi-automatic laminating machine is provided with a stand, wherein an operating space for accommodating a laminating device is arranged in the middle part of the stand, an electric component box is placed in the stand and positioned below the laminating device, an air inlet opening is arranged at the top of the stand, an air purifier is placed at the top of the stand and an operating panel is installed on the stand and used for controlling the laminating machine. The material laminating is carried out by material placing, aligning, laminating by pressure roller, laminating completion and returning for standby. The semi-automatic laminating machine adopts various ways of vacuum adsorption, mechanical positioning and pneumatic motion to be provided with a precision fine adjustment device, a limitator, an oil-gas convertor, a linear slide rail and other precision components, thereby ensuring the laminating accuracy, reducing the dependence on the operators, overcoming the phenomenon of inaccurate positioning, low yield, air bubble, gauffer and defects existing in the laminating process of the diaphragm and the base material, reducing the running time due to the overlapped type motion and improving the production efficiency.

The invention discloses an on-line positioning method of a section with low-current ground faults and a system based on the positioning method. The method and the system are suitable for a neutral ungrounded power grid of 3-60kV. Under the operation condition of a line with single-phase ground faults, the phasor information of a zero-sequence voltage and the amplitude and phasor information of a zero-sequence current of the line are measured, and the section position of a fault point is determined according to the amplitude and phase information. The accuracy and rapidity of positioning are fully ensured, and the on-line positioning problem of single-phase ground faults of the neutral ineffectively grounded power grid and the monitoring problem of short-circuit faults between lines are effectively solved.

The invention discloses a fault locating method and device for an intelligent substation, wherein the method comprises the following steps of: establishing a network topology corresponding to the intelligent substation, wherein the network topology comprises the association relationships among all secondary equipment in the intelligent substation; monitoring the operation state of the intelligent substation so as to obtain state information; and, in a condition that alarm information is generated in the intelligent substation, determining fault equipment triggering alarm information in the intelligent substation by utilizing the network topology and the state information. By means of the fault locating method and device disclosed by the invention, the technical problem that a fault cannot be located in time in the intelligent substation can be solved.

The invention relates to an intracranial puncture locating method based on mixed reality and belongs to the field of neural imaging navigation. The method includes the steps of firstly, collecting CTscanning data of a patient with a marker, and creating three-dimensional models of the head and intracranial lesions of the patient according to the CT data; determining puncture targets, a puncture direction and puncture depth on the basis of the three-dimensional models, and creating an intracranial puncture path; finally, through rigid registration, overlapping the three-dimensional model of the head and the puncture path on a surgical part of the patient through a mixed reality technology, so that a surgeon can conduct puncture surgery under the guidance of the virtual three-dimensional models and correct puncture operation in real time according to the puncture path. Since the virtual three-dimensional modules are totally matched with a real scene, the virtual puncture patch is highlymatched with an actual situation, and therefore by conducting the puncture operation along the virtual puncture path, deviations or faults existing in traditional empirical operation are effectivelyavoided so that the purpose of improving the intracranial puncture precision and puncture efficiency can be achieved.

The invention discloses a proton therapy system based on a compact superconducting cyclotron. The proton therapy system includes a superconducting cyclotron system, an energy selection system and a beam transportation system, a fixed treatment room subsystem and a rotary frame treatment subsystem; the fixed energy proton beam led out by the superconducting cyclotron in the superconducting cyclotron system can be a continuously adjusting proton beam of 70-200MeV via the energy selection system, so that the longitudinal adjustment of the range during the proton therapy of tumors can be met; thebeam is transmitted to the fixed treatment room subsystem and the rotary frame treatment subsystem via the beam transportation system; the superconducting cyclotron system, the energy selection system, the beam transportation system and a treatment head are subjected to cooperative control to realize the transverse expansion of the proton beam, so that the intensity modulation treatment of the tumor can be completed. According to the invention, the innovation is good, the practicability is high, the beam intensity of the superconducting cyclotron is adjustable, and the intensity modulation treatment can be realized; and the system has an extremely important promotion effect on the accuracy, effectiveness and high efficiency of tumor treatment of a patient.

The invention discloses a high-density flexible substrate appearance defect detection system and a method based on depth learning, the method comprises a hardware platform and a software detection platform. The detecting method comprises the following steps: FICS images containing different defects is collected as training samples; pre-processing on the sample image is carried out, including the unified standard size and manual marking of the defect position and the category in the sample; a sample image is input into a depth learning model based on an improved YOLO convolution neural networkto carry out training to obtain model parameters which are output as defect positions and categories; the collected image size is standardized and input into a trained depth learning model for detection, and the defect position and the category information in the acquired image are obtained. The method can achieve the rapid positioning and the type identification of the appearance defects of the high-density flexible substrate, and solves the problem that the traditional defect detection system and the method are low in speed and is difficult to achieve high-density FICS appearance defects.

The invention discloses a space positioning platform which comprises an X-direction guide rail, a Y-direction guide rail driven by an X-direction driving mechanism to be in linear reciprocating motion along the X-direction guide rail, a Z-direction guide rail driven by a Y-direction driving mechanism to be in linear reciprocating motion along the Y-direction guide rail, and a carrying platform driven by a Z-direction driving mechanism to be in up-down reciprocating motion along the Z-direction guide rail. The Y-direction guide rail is mounted on the X-direction guide rail , the Z-direction guide rail is mounted on the Y-direction guide rail, the carrying platform is mounted on the Z-direction guide rail, and the X-direction driving mechanism, the Y-direction driving mechanism and the Z-direction driving mechanism form a servo driving system for adjusting position of the carrying platform in directions X-axis, Y-axis and Z-axis of a space rectangular coordinate system. The space positioning platform is simple in structure, reasonable in design, simple and convenient to use and operate, good in using effect and high in positioning efficiency, and the problem that an existing lifting device is single in moving direction, inaccurate in positioning, poor in reliability and the like can be effectively solved.

The invention relates to an X-ray weld defect detection method based on a convolutional neural network, and the method comprises the following steps that a weld image data set containing different types of weld defects is built, and all weld images in the data set are marked with weld labels; an AF-RCNN model is established, wherein the AF-RCNN model comprises a backbone network module, a region generation module and a target classification and position regression module; the backbone network module adopts a residual network (ResNet) and a feature pyramid network (FPN) structure, an efficient convolution attention module is introduced between the residual network (ResNet) and the feature pyramid network (FPN) to enhance the learning ability of the network for unobvious defects and small target features, and a CIOU loss function is introduced to enhance the positioning ability of aiming frames; and an AF-RCNN model is trained by using the established data set, wherein the AF-RCNN model is used for classifying and positioning weld defects. The accuracy of all defects reaches 94% or above, and the detection speed is 11.65 FPS.

The invention provides a protecting and resuming method which are used in protection and restitution of elastic light outburst ring, it characterized in that it includes following steps: step a, building fault model according to the characters of elastic light outburst ring, the fault model includes various fault types which are corresponding with characters; step b, when one fault is happened, the corresponding fault alarm signal is provided for medium meeting control layer; step c, aiming at the fault alarm signal, the medium meeting control layer is executed corresponding protection rotating method.

The present invention relates to a diabetic retinopathy sign detection method and device. The method comprises: receiving a fundus image to be detected; using a convolutional neural network (CNN) model to perform processing of the fundus image to be detected, and obtaining lesion area samples corresponding to the fundus image to be detected; according to the lesion area samples, constructing SIFT (Scale-Invariant Feature Transform) feature descriptors corresponding to the fundus image to be detected; and according to the SIFT feature descriptors, using an SVM (Support Vector Machine) classifier to determine the lesion type of the fundus image to be detected. The CNN model is employed to perform rough classification of the diabetic retinopathy to five out a lesion area, the SVM classifier is employed to perform fine classification of the lesion type of the lesion area to reduce interference generated by difference between the data size and the data when the neural network is directly configured to perform lesion classification and improve the classification precision.

The invention discloses a knowledge base-based three-dimensional X-ray computed tomography (CT) detection system. The system comprises a data acquisition module, a slice reconstruction module, an image segmentation module, an image registration module, a defect detection module and a knowledge base management module, wherein the data acquisition module is used for acquiring CT projection data; the slice reconstruction module is used for reconstructing a two-dimensional slice according to the acquired CT projection data and recovering a slice CT image; the image segmentation module is used for segmenting the CT image information of an important part of the chip for the slice CT image; the image registration module is used for performing registration on the CT image to be detected and the standard CT image and finding out the correspondence between the two to realize comparability of the corresponding parts; the defect detection module is used for extracting CT image characteristic of a chip to be detected, comparing with corresponding characteristic of the standard CT image of the chip in a knowledge base and judging whether the chip to be detected is defective and judging the type of the defect. The system and the method are accurate in defect positioning and high in quality detection accuracy.

The invention relates to steel tube surface spraying equipment. The steel tube surface spraying equipment comprises a movable positioning device, a movable spraying device and a light-solid cooling device, the movable spraying device is installed on the middle portion of the movable positioning device, an accurate movable positioning function of the movable positioning device can be achieved, and the accurate positioning and spraying function of the movable spraying device can be achieved; the light-solid cooling device is arranged on the right side of the movable spraying device and is installed on the movable positioning device, and spray paint quick solidification and cooling functions of the light-solid cooling device can be achieved. The problems that only one steel tube can be machined by an existing steel tube surface spraying device at one time, the structure is complex, the cost of the equipment is high, the work efficiency is low and accurate processing and spraying cannot achieved are solved. The function of accurate positioning spraying of multiple steel tubes can be achieved at the same time, and the steel tube surface spraying equipment has the advantages that the operation is simple and convenient, the structure of the equipment is simple, the cost is low, and the work efficiency is high.

The invention discloses a city navigation system construction method based on positioning two-dimensional codes. The method comprises steps that: (a), multiple positioning two-dimensional codes are arranged in a city, and the positioning two-dimensional codes are numbered; (b), space plotting for each positioning two-dimensional code is carried out to acquire accurate space coordinate information and geography environment information, and the space coordinate information relates to longitude and latitude coordinates; (c), the space coordinate information and the geography environment information are inputted to a database, and integration of the information is carried out to form an application program; and (d), a mobile terminal is utilized by a user to scan the positioning two-dimensional codes to acquired the space coordinate information and the geography environment information of corresponding positions. The invention further provides a city navigation system based on the positioning two-dimensional codes, and the city navigation system corresponds to the method. According the method and the system, accurate self-positioning of the user is carried out through a two-dimensional code scanning mode, detailed space data around the present position of the user is acquired simultaneously through the mobile Internet, and accurate navigation of a microscopic environment is carried out according to an object inputted by the user.

The invention is applicable to the technical field of communication and provides an input method and an input system based on the multi-screen interaction of a communication terminal and a television set. The method comprises the following steps of: when the communication terminal is connected with the television set, switching the communication terminal to a console interface; screening an input control in a current display interface of the television set; displaying the input control on the console interface; and triggering the input control on the console interface to input information. Therefore, by the invention, the television can be directly subjected to convenient and efficient input operation by using the input control on the console interface of the communication terminal.

The invention discloses a data transmission processing method, apparatus, device and system. The data transmission processing method comprises: a call chain global unique identifier and a call hierarchy identifier are transmitted to a next-level application server for usage by messages; and log information including the call chain global unique identifier, the call hierarchy identifier, and call response information is written into a log file and the log file is sent to a log memory server. Therefore, log analysis and positioning problems in multi-process calling are solved.

The invention relates to an inclined hole electrosparking processing device, comprising a joint body, an electrode deflection shaft, a positioning clamping screw, a tightening screw cap, a positioning shaft and a hollow small hole electrode. A connecting rod of the electrode deflection shaft is located in a rectangular slotted hole of the joint body; an equal-diameter end of a positioning shaft is located in a shaft hole of the electrode deflection shaft and is tightened up; a rubber sealing piece is located in the shaft hole of the electrode deflection shaft and the hollow small hole electrode penetrates through a drill chuck and is placed into the positioning shaft. In the invention, according to the inclined angle between the inclined hole and the X axis or Y axis and degree scale on the joint body, the inclined angle beta between the electrode and the X axis or the Y axis is initially adjusted, and the electrode is moved along the negative direction of Z axis or the positive direction of the X axis to obtain the actual inclined angle beta between the electrode and the X axis or the Z axis. In addition, the corresponding position of the inclined hole electrode and the inclined hole center C is identified to obtain coordinates of the Z axis and X axis of a machine tool, so that the problems of the existing small hole electrosparking processing device such as high cost, long cycle, difficult positioning of the electrode and low positional precision of processing holes and the like are solved and 0-90-degree inclined hole electrosparking processing is realized.

The invention discloses a smart traffic management system. The system comprises a navigation service platform, a cloud control platform and a vehicle terminal. Through the system, positioning precision can be improved to a centimeter level; and during vehicle travel, a dynamic track of vehicle travel can be monitored in real time (according to traffic laws), and real-time supervision and normalization on vehicle travel are realized; besides, a parking space in the periphery of a destination can be quickly found and remotely reserved, and therefore the problem that in the prior art, a guide route map of empty parking spaces in a large parking lot cannot be precisely provided, and consequently oil and time are wasted due to parking space finding with eyesight in the parking lot is solved; and moreover, it can be ensured that a highway does not need to be closed under abnormal weather conditions (rain, snow, freeze, etc.), whole-process real-time dynamic velocity limitation on abnormal-weather road segments can be realized, the safe distance between vehicles is limited in real time, and safe and smooth traffic on the highway is ensured.

The invention relates to an underwater platform cable throwing device with a buoy. When the cable throwing device is in a non-triggered state, a bottom plate is attracted by an electromagnet assembly,and a cable and a buoy assembly are located in a cable storage cavity; when the buoy assembly needs to be taken back on a platform or released at the indication position, the electromagnet assembly instantly loses the restraint on the bottom plate, at the moment, a spring pushes a top plate to move in the axial direction of the cable storage cavity under the effect of resilience, and the cable and the buoy assembly are thrown out of the cable storage cavity. The buoy assembly and the cable are gradually spread in air and fall and float on water after being thrown out of the cable storage cavity, and a GPS and a beacon module in the buoy assembly send a position indication signal to a mother ship. By means of the cable throwing device, the problems of taking back, safety guaranteeing and positioning of various underwater platforms can be solved.

A mine car unmanned driving system comprises a cloud computing and remote service device (1), a communication device (2), a sensing device (3) and a control device (4), the cloud computing and remoteservice device (1) is used for generating a global path and a work task, and the global path and the work task are sent to the control device (4) through the communication device (2); the sensing device (3) is used for sensing the surrounding environment of the vehicle and sending the surrounding environment of the vehicle to the control device (4), and the sensing device (3) is composed of more than one sensing sensor; and the control device (4) is used for controlling the vehicle to run according to the global path, the work task and the vehicle surrounding environment.

The invention discloses a locomotive positioning method suitable for a wireless switching locomotive signal and monitoring system. The method includes the steps that GPS positioning data of a current locomotive are corrected in real time, and then the corrected GPS positioning data are acquired; according to the corrected GPS positioning data and station map data of a current station, the current locomotive is initially positioned, and a track where the current locomotive is located or the track range of the current locomotive is determined; based on the corrected GPS positioning data, station yard interlocking data and locomotive displacement information, the current locomotive is comprehensively positioned, if a comprehensive positioning result shows that only one track is contained, the displacement information of the current locomotive is consistent with the change direction of the corrected GPS positioning data, and the track is the acquired track where the current locomotive is located in the initial positioning process or one track within the track range, the comprehensive positioning result is used for showing the position where the current locomotive is located. By the adoption of the method, the equipment structure is simplified, and equipment cost is reduced.

The invention discloses an autonomous real-time airborne terrain-aided inertial navigation method and system. The method comprises the following steps: according to attitude, speed and position information outputted from a main inertial navigation system, matching areas are continuously planned according to a terrain matching area automatic planning algorithm in a terrain matching area planning and adaptability analysis module; matching adaptability of planned areas is automatically analyzed according to matching area adaptability analysis criterion in the terrain matching area planning and adaptability analysis module; whether a terrain matching algorithm is executed is decided according to the analysis result of the matching adaptability, if the planned areas are the matching areas, the terrain matching algorithm is executed in order to realize the matching positioning; if the planned areas are not the matching areas, the terrain matching algorithm is not executed.

The invention provides a method and system for determining faults of a heterogeneous system based on machine learning, and the method comprises the steps: carrying out the analysis of the safety of historical system faults and major events, preliminarily building case library data and a fault tree model, arranging and analyzing index data and labeling data, and respectively training data models ofdifferent application scenes; according to the collected current index data and the data model, calculating and analyzing the operation health condition of the system, and triggering fault diagnosisand alarm for the grabbed abnormal index data; and automatically diagnosing a fault reason according to a relation graph established by machine learning and the collected abnormal stack annotation data, determining a fault repair scheme according to the fault reason, and triggering fault repair. According to the method and the system, the dependence of operation and maintenance personnel on professional business knowledge is reduced, intelligent and rapid fault discovery and fault generation reason diagnosis are realized through machine learning, self-repair is automatically completed, and theoperation safety and stability of the distributed heterogeneous system are greatly improved.

According to the present invention, a set of an automatic lifting device and automatic inclination adjusting device is arranged beside the external container truck parking lane of an automated terminal, a laser scanner is arranged on the automatic lifting device and automatic inclination adjusting device, and performs lifting and inclining detection on the locking holes of a no-load container flatcar entering the lane, the position of the nearest locking hole or the positions of the multiple locking holes are measured, the approximate positions of all the locking holes on the container flat car are estimated, and accurate detection is performed to find the exact positions of all the locks, such that the precise positioning of the container flat car is achieved; the laser scanner horizontally scans the heavy-load container truck entering the lane, and adjusts the automatic lifting device to a corresponding height according to the lifting tool positioning signal and the lifting tool height signal, the gap between the container and the flat car is measured, the unlocking of the lock of the container truck is prevented, and the container truck is lifted; and with the method of the present invention, the precise lock positioning and anti-lifting detection of the external container truck in the lifting yard of the automated field can be achieved.

The invention discloses an RPA robot intelligent element positioning and picking method and system. According to the method, firstly a problem that a remote desktop, a virtual system and other elements cannot be positioned and operated is solved through employing a computer vision technology combining template matching, OCR and image retrieval, and a proposed new scheme can more accurately and stably locate and pick up the positions and contents of the elements on the picture; secondly, an element positioning scheme based on template matching is adopted, a large number of labeling samples arenot needed, and the scheme is more stable and controllable; thirdly, pixel point features, corner point features and convolution features of a deep neural network are fused, so that the template matching effect is more accurate and stable, and meanwhile, the OCR technology can further assist in positioning elements with text information; and finally, a template library retrieval engine is constructed by adopting an image retrieval technology, and which application the page picture to be processed belongs to can be accurately judged, so that the problem of low retrieval and matching speed caused by template library growth in multiple scenes is solved.

The invention discloses a three-dimensional laser scanning swing device and a coordinate conversion method thereof. A two-dimensional laser scanner is fixed onto a radar swinging rack, and the radar swinging rack and a swing control device housing are connected through a rolling bearing which is fixedly connected to the swing control device housing; a coding disc supporting steering gear and an embedded control panel are arranged inside the swing control device housing and connected with each other; an inertial measurement unit for tracing the pose change of the entire system is fixed onto the swing control device housing. By precisely calculating the swing angle of the swing device, the three-dimensional date of an entire space can be obtained during laser swinging; two-dimensional scanning implemented through the three-dimensional laser scanning swing device is higher in cost performance than that through a three-dimensional laser scanner; meanwhile, the three-dimensional laser scanning swing device is relatively light in size and can obtain the three-dimensional data as well as obtain the position of the scanner through data registration, thereby solving the problem of synchronous obtaining and location of maps.

The invention discloses an intelligent sample storage cabinet system. The system comprises a sample storage unit for storing samples, a sample storage / taking movement unit for shifting the samples, and an intelligent control unit; the sample storage unit includes multiple storage bins arranged in an array form; the sample storage / taking movement unit includes a pneumatic manipulator mechanism; the pneumatic manipulator mechanism is provided with a storage cavity and a negative-pressure production component; and after an opening end of the storage cavity is tightly connected with opening ends of the storage bins, the negative-pressure production component extracts air in the storage cavity and the storage bins to form vacuum negative pressure so as to suck the samples in the storage bins to the storage cavity. The system has the advantages of high space utilization rate, high intelligent modular degree, capability of synchronously storing and taking one or more samples and safe and efficient sample storage and taking.

The invention discloses a full-route high-accuracy servo press mounting method and belongs to the technical field of numerical control machine tools. The full-route high-accuracy servo press mounting method integrates advanced technologies of servo control technology, sensing technology, industrial computer control technology and the like and solves the problem of inaccurate position and bounce of press-in workpieces of the previous production process. By means of the full-route high-accuracy servo press mounting method, pressure, speed and interference magnitude can be automatically adjusted according to different gaps, different roughness and different hardness, and stable and accurate positioning accuracy can be ensured. By monitoring the pressure and displacement during the whole pressing process, workpieces deformed elastically can be pressed accurately, errors caused by manual observation can be reduced, and qualified pressing on the workpeices deformed elastically can be ensured.

The invention relates to large scale component assembling and welding deformations automatic real time monitoring method. Its feature is that it uses coordinate system as measuring basis expressed by axes and generatrix in whole measuring system. The method includes the following steps: establishing the coordinate system for the whole deformation measuring basis; setting measuring point at the outer wall of the component 1 and 2; measuring the coordinate for all the measuring points; processing component 1 and 2 installing measuring and welding deformation monitoring. The invention has the advantages of realizing the monitoring without setting fixed measuring installation onsite and special tool set up, fast measuring speed, high working efficiency means three minutes per period.