413 results about "Positioning technology" patented technology

The utility model discloses an antenna technical parameter measurement device and synchronous positioning measurement equipment relates to antenna measurement technical field. The device includes double satellite navigation module, including first satellite navigation unit and second satellite navigation unit, is used for receiving satellite signal and measures the heading angle, inertia measurement unit is used for measuring the pitch angle and the roll angle, microcontrol unit is connected with double satellite navigation module and inertia measurement unit respectively, is used for fusing heading angle, pitch angle and roll angle generation three -dimensional attitude data, communication module is connected with second satellite navigation unit, is used for obtaining real -time dynamic difference positioning information. The device through the multi -source data fusion of double satellite navigation unit and inertia measurement unit has realized high -precision three -dimensional attitude measurement, and combines real -time dynamic difference positioning technology simultaneously, has improved positioning precision and the reliability of attitude measurement significantly, is applicable to the application scene that needs accurate space attitude perception.

The present application relates to the technical field of tool positioning, and discloses a tool positioning management and control system and early warning method based on RFID and video fusion, which comprises the following steps: establishing an association mapping of RFID tag unique code and tool unique identification and constructing a tool information file; configuring an electronic fence based on a management and control area space model, collecting RFID tag signals to perform area attribution inference, generating an RFID side position state and performing first stage state determination; obtaining a monitoring video stream that is spatially registered with the electronic fence space range, performing tool target detection, tool category confirmation and cross-frame target tracking on the video picture to obtain a video side tool existence state; and fusing the RFID side position state and the video side tool existence state to perform second stage determination, and starting a hierarchical early warning strategy to output alarm information according to the determination. The present application reduces the false judgment and missed judgment caused by single sensing.

The utility model relates to surveying and mapping instrument positioning technical field, and disclose a surveying and mapping engineering is with surveying and mapping instrument positioning device, including positioning structure, and installation platform includes platform board and installs the pivot of platform board bottom end, the outer surface of pivot is equipped with gear, split component includes side fixed plate A and installs in side fixed plate A one side side fixed plate B, and the inner wall of middle end that side fixed plate A with side fixed plate B are formed has the inner race ring groove, and side fixed plate A is connected with fixed component, when adjusting the surveying and mapping direction of surveying and mapping instrument, can handhold and rotate handheld pole, and triangle strip removes from between the gear tooth groove, and handheld surveying and mapping instrument rotates, and the gear of installation in the outer surface of pivot rotates in the inside of inner race ring groove, and handheld and reverse rotation handheld pole, and triangle strip inserts into the gear tooth groove, and limit installation platform after rotating, avoid in the measurement process and surveying and mapping instrument can be subjected to external force and rotate.

This invention proposes a multi-field-of-view coupled drilling robot rig positioning method, applicable to complex underground roadway environments in coal mines. Current drilling rig positioning methods primarily rely on vision sensors, which suffer from difficulties in selecting borehole points, potential damage to the anchor mesh structure during drilling, and the presence of dust and water mist during drilling, which obstructs vision sensors and causes image loss. This application proposes a multi-field-of-view coupled drilling rig positioning scheme based on the spatial positions of the drilling robot's components, and formulates a borehole point positioning strategy to avoid interference between the borehole and the anchor mesh during drilling. By identifying and locating the boreholes in the image, precise anchoring and positioning of the drilling rig are achieved. This not only has direct significance for improving support efficiency and safety but also provides important reference for positioning technologies of other underground engineering equipment.

Embodiments of the present application provide a method, device and storage medium for determining a base station deployment scheme, and relate to the technical field of radio frequency positioning, which is used to determine a base station deployment scheme with high positioning accuracy and precision. The method comprises: obtaining a plurality of sets of base station deployment schemes and a plurality of sampling points corresponding to a target area; determining a target positioning base station corresponding to each sampling point in each set of base station deployment schemes, wherein the target positioning base station is a positioning base station in the base station deployment scheme with a blocking coefficient less than a first preset blocking threshold between the target positioning base station and the sampling point; the blocking coefficient is used to represent the degree of attenuation of a signal emitted by the target positioning base station to the sampling point; determining a GDOP and a ranging error corresponding to each sampling point under each set of base station deployment schemes, wherein the ranging error is used to represent the loss of the signal emitted by the target positioning base station to the sampling point; and determining a target base station deployment scheme from the plurality of sets of base station deployment schemes according to the GDOP and the ranging error corresponding to each sampling point under each set of base station deployment schemes.

The application discloses a kind of complex scene under factory area fusion positioning method and system, belong to mobile positioning technical field, applied to mobile device, comprising: judge the number of received position data corresponding ultra-wideband UWB positioning base station whether greater than or equal to first preset value;When the number of UWB positioning base station is greater than or equal to first preset value, the first confidence of position data is calculated according to the signal-to-noise ratio of position data and the signal strength of position data;When the first confidence is greater than the number of UWB positioning base station corresponding to the position data of second preset value is greater than or equal to 3, select the first confidence of the first 3 position data;The observation coordinates of the particle group of the particle filter of mobile device and the second confidence corresponding to observation coordinates are calculated;Wherein, particle group includes N particles, and the second confidence is the average of the first confidence of the first 3 position data.

This invention discloses a monostatic symmetric nested array MIMO system and a near-field positioning method, belonging to the field of monostatic MIMO near-field positioning technology. This invention can effectively improve the positioning performance during near-field estimation. The monostatic symmetric nested array MIMO system proposed in this invention has a symmetrically distributed transmit and receive arrays. Compared to other symmetric MIMO systems, its differential array is a positionally continuous array with more degrees of freedom. With the same physical array aperture, fewer physical array elements are actually used, reducing costs. The near-field positioning method proposed in this invention calculates the fourth-order statistics of the signal and quantizes them to obtain a virtual differential array of the differential array, achieving accurate near-field positioning of sparse MIMO structure arrays. Furthermore, it can be extended to more sparse MIMO symmetric systems.

The present application relates to the field of satellite navigation and positioning technology, and more particularly to a Beidou GNSS and visual image information fusion deformation monitoring method, comprising: collecting and preliminarily screening the surface periodic images of a monitoring body to determine a time adding period; sub-pixel refining the images in the time adding period, extracting texture and identification features to obtain a visual displacement field; constructing a carrier phase time difference observation equation to eliminate the integer ambiguity, introducing the visual displacement as a priori constraint and jointly solving multiple epochs to obtain optimized coordinates; and combining RTK data to jointly determine the deformation and adjust the real-time static filter. The present application improves the spatial continuity, trigger reliability and adaptability to harsh environments of deformation monitoring, and realizes the technical upgrade from single-point monitoring to full-field millimeter-level high-precision monitoring.

A high-precision positioning method based on multimodal fusion filtering, relating to the field of intelligent positioning technology, includes the following steps: acquiring sensor data collected in real time by a GNSS submodule, an IMU submodule, and a barometer submodule, and performing collaborative preprocessing on the sensor data; performing state estimation through an extended Kalman filter (EKF) and an adaptive particle filter (APF) to obtain the corresponding EKF positioning output and APF positioning output; calculating a multi-dimensional positioning reliability reflecting the geometric accuracy of the GNSS signal, the stability of the IMU data, and the high consistency between the barometer and GNSS; dynamically allocating fusion weights for the EKF positioning output, APF positioning output, and historical positioning data; and performing weighted fusion of the EKF positioning output, APF positioning output, and historical positioning data to output the final positioning result. This invention, through a three-layer architecture of collaborative data preprocessing, intelligent filtering, and dynamic decision-making, systematically improves the accuracy, continuity, and overall robustness of positioning in complex environments.

This invention relates to the field of unmanned aerial vehicle (UAV) positioning technology, and discloses a UAV positioning method, apparatus, device, storage medium, and program product. The method includes: upon receiving a broadcast signal from a wireless communication device, extracting the location information of the wireless communication device; determining the first azimuth information of the UAV relative to the wireless communication device based on the signal strength and transmission direction of the broadcast signal; sending a communication signal to the wireless communication device and receiving second azimuth information sent by the wireless communication device; and performing a fusion calculation on the first and second azimuth information using fusion weights to determine the precise coordinate information of the UAV. This invention enables direct communication between the UAV and the wireless communication device, and integrates the first azimuth information determined by the UAV with the second azimuth information determined by the wireless communication device to obtain the final position of the UAV. This allows the UAV to be positioned via the wireless communication device even when satellite signals are blocked.

This invention discloses an intelligent identification and positioning device for tension wire laying pulley skipping grooves, relating to the field of optical wave positioning technology for wire laying pulleys. It includes a pulley frame with a lifting frame fixedly installed at its top, and the pulley frame is connected to a lifting device via the lifting frame. In this intelligent identification and positioning device for tension wire laying pulley skipping grooves, all actions—guiding alignment, position locking, wire guiding, and wire clamping—are achieved by the pressure-driven spindle rotation of the traction plate. After the traction plate contacts the guide wheel, the guide wheel deflection, spindle rotation, position locking, wire guiding, and wire clamping are triggered synchronously, with no time difference or action lag between each stage, forming a closed-loop linkage of trigger-response-locking. It has no electrical control module and is unaffected by strong electromagnetic interference, high dust, or humid environments. It is particularly suitable for the complex working conditions of power transmission line construction—strong electromagnetic fields, high vibration, and no power supply—significantly improving the device's reliability.

This utility model discloses an indexing and positioning device for a CNC rotary table, relating to the field of indexing and positioning technology. It includes a housing, inside which a drive mechanism is installed. One end of the drive mechanism has a positioning part, and a pneumatic locking mechanism is arranged around the positioning part. This utility model uses a locking nut screwed onto a threaded post to prevent the bearing at the optical shaft from slipping outwards. When the threaded post is repeatedly disassembled and reassembled with the locking nut, resulting in thread damage, or when the optical shaft is repeatedly assembled and worn, the locking nut can be unscrewed from the threaded post. Then, the turbine and positioning part can be disassembled from the optical shaft and the threaded post. An Allen wrench is then used to unscrew the Allen bolts from the side locking hole and the outer locking hole. At this point, a new optical shaft with a threaded post can be used, thus facilitating the flexible disassembly of the positioning part and the drive mechanism for convenient maintenance and replacement.

The application relates to the technical field of high-precision positioning, in particular to a power distribution network tower coordinate dynamic verification method based on cooperation of satellites and unmanned aerial vehicles, which comprises the following steps: an unmanned aerial vehicle formation receives a satellite navigation signal, and synchronously collects relative ranging data in the formation and observation data of towers, a unified time stamp is added to all the data, time and space correlation deviation between different data sources is solved, an absolute delay compensation vector for time synchronization is calculated, original time and space data are corrected in time synchronization, accurate positions and postures of the unmanned aerial vehicle formation are calculated based on fused data after correction, and the corrected tower coordinates are output. The purpose of the application is to accurately obtain the spatial positions of power distribution network towers through cooperation of satellites and unmanned aerial vehicles.

The application discloses a network fault root cause positioning method and operation and maintenance equipment, relates to the technical field of network fault positioning, and is used for improving the accuracy of network fault root cause positioning.In the method, the operation and maintenance equipment constructs an elastic backtracking window associated with a network topology delay, combines a time-space alignment drift degree to quantify a cause-effect relationship, establishes a more reasonable log searching interval for each candidate root cause node, reduces time axis out-of-range time sequence misplacement of a preset window range, avoids a situation that related technology is difficult to capture the correlation between the two, and improves the accuracy of network fault root cause positioning.

This application provides a crystal oscillator compensation method and apparatus for a cellular positioning and communication fusion system, relating to the fields of communication and positioning technology. After the positioning module and / or communication module are started, this application determines the validity of historical information based on current environmental parameters. If valid, the historical error data is used as the current crystal oscillator error to reduce processing overhead caused by repeated estimation and shorten the preparation time after system startup. If the historical information is invalid and the positioning module is working, the crystal oscillator error is estimated through the communication module. This avoids the high time overhead, high processing complexity, and even malfunction caused by the positioning module directly performing large-scale time and frequency offset scanning within a large error range. This application allows the crystal oscillator error to converge to a smaller range before performing positioning processing, reducing the system's dependence on high-performance crystal oscillators while ensuring positioning and communication performance, which is beneficial for reducing terminal costs and power consumption.

The utility model relates to electric power equipment fault detection positioning technical field discloses a kind of electric power equipment fault detection positioning devices, including fault detection positioning instrument body, the both sides of the fault detection positioning instrument body are equipped with heat dissipation port, the both sides of the fault detection positioning instrument body are fixedly connected with installation frame, the inside fixed connection of the installation frame is provided with dust screen.The utility model can automatically clean dust on dust screen by the cooperation of motor, moving assembly, cleaning brush, connecting assembly, hollow block, dust suction pipe, exhaust pipe and dust suction assembly etc. structure, avoid dust screen blockage situation, ensure that positioning device normal heat dissipation, prevent its internal element from being damaged due to overheating, simultaneously can avoid dust in cleaning process through dust screen and enter the inside of fault detection positioning instrument body, prevent the inside of fault detection positioning instrument body from accumulating dust, ensure the normal use of electric power equipment fault detection positioning device.

This invention discloses a GNSS integer ambiguity fixing method integrating intelligent optimization algorithms and VIB strategies, belonging to the field of satellite navigation and positioning technology. This method combines the advantages of VIB strategies and swarm intelligence fusion optimization algorithms. By directionally grouping the ambiguity floating-point solution covariance structure, the ambiguities are guided into groups. The PSOAF and AWDE intelligent optimization algorithms are used to perform parallel searches on the grouped ambiguities, improving search efficiency and positioning accuracy. Simultaneously, the probability assessment and fixing judgment of the integer solutions of each sub-block ambiguity and the overall ambiguity ensure the reliability of the ambiguity solutions, making it suitable for complex and dynamic GNSS positioning scenarios.

The application provides an underwater positioning method and device, electronic equipment and storage medium, and relates to the technical field of underwater acoustic communication positioning. After a launch end sends a positioning start signal to a response end, the launch end sends a first positioning signal to the response end after a first preset time delay. The launch end receives a positioning early warning signal and a second positioning signal that are fed back by the response end in turn according to a preset delay feedback time based on the first positioning signal. The launch end calculates positioning information according to the delay feedback time, the sending time of the first positioning signal and the receiving time of the second positioning signal. In the embodiment of the application, the positioning start signal and the positioning early warning signal are set, the positioning start signal is sent before the launch end sends the first positioning signal, and the positioning early warning signal is sent before the response end sends the second positioning signal. The anti-interference capability during positioning between the launch end and the response end is improved based on the positioning start signal and the positioning early warning signal. The anti-interference capability during underwater positioning is improved.

This application provides a deformation monitoring method, apparatus, electronic device, and storage medium, relating to the field of positioning technology. The method includes: when the coordinates of a first reference station and a second reference station are different, calculating first ambiguity feature information based on first observation data, the coordinates of the first reference station, the coordinates of a first monitoring station, and first ephemeris data; calculating second ambiguity feature information based on second observation data, the coordinates of the first reference station, the coordinates of the first monitoring station, and the second ephemeris data; determining whether the reference station has moved relative to a first epoch based on the first and second ambiguity feature information; and calculating the final deformation based on the second observation data, the coordinates of the second reference station, the second ephemeris data, the coordinates of the first reference station, and the initial monitoring station coordinates when it is determined that the reference station has not moved relative to the first epoch; thereby improving the accuracy of deformation monitoring.

This invention relates to the field of power distribution fault location technology, specifically to an AI-driven power distribution fault location system and method. The system includes: a state projection construction unit that constructs multiple fault state projection surfaces; a state collision elimination unit that uses a topology response collaborative constraint model to identify structural logic conflicts and uses a structural collision-driven multi-path filtering mechanism to eliminate fault state projection surfaces with structural logic conflicts; a differential comparison scoring unit that uses an AI response scoring model to generate confidence scores for each candidate fault state projection surface and uses a working condition semantic embedding model to correct the confidence scores; a structural feedback location unit that uses the AI ​​response scoring model to update and sort the confidence score sequence to determine the fault point; and a fault terminal processing and display unit that displays the fault points of each power distribution station and generates inspection tasks and maintenance work orders. This invention combines AI-driven intelligent judgment and location of power distribution faults and constructs a fault identification method for multi-site maintenance scenarios.

The application provides a ship multi-source perception data fusion in-port target clustering method, and belongs to the technical field of ship berthing perception and ship autonomous positioning. The method first acquires multi-source perception data of a ship-borne camera, a thermal imager and a laser radar and completes time synchronization, then realizes target detection and instance segmentation of a visible light video and target detection of an infrared video through YOLO11n-seg and YOLO11n algorithms respectively, projects laser radar point cloud data to a visible light image coordinate system and extracts effective point cloud indexes after verifying the effectiveness of cross-modal target detection results based on a calculation of an intersection over union, adopts a lightweight clustering algorithm based on local geometric features to construct a target point cloud set and generate a space bounding box, and finally calculates the distance and azimuth angle of the target relative to the ship, and fuses RTK positioning information of the ship to obtain the absolute position of the port target. The application solves the problems of under-segmentation of in-port dense targets, low multi-sensor data fusion efficiency and poor detection stability in poor visibility in the prior art.

This invention discloses a child positioning system and method for preventing children from getting lost in scenic areas based on ultra-wideband (UWB) technology, belonging to the field of child safety monitoring technology. The system includes: multiple UWB positioning base stations with known three-dimensional coordinates, a UWB positioning tag worn by the child, and a positioning calculation unit. The method first involves the tag performing bidirectional ranging with at least three base stations to obtain the signal flight time; then, the positioning calculation unit calculates the straight-line distance between the tag and each base station; finally, a trilateration algorithm is applied to calculate the spatial coordinates of the tag based on the distance values ​​and base station coordinates. Preferably, this invention also incorporates motion state perception for intelligent energy saving, combines wearing status monitoring for anti-drop alarm, and can be linked with video surveillance for collaborative tracking. This system and method solve the problems of low accuracy and poor reliability of traditional positioning technologies, achieving high-precision, high-reliability, and low-power child positioning monitoring.

The application relates to a Beidou RTK measurement point cloud self-adaptive filtering processing method, belonging to the field of high-precision three-dimensional positioning technology based on the Beidou system. The method firstly determines whether it is suitable to directly take the median filtering result as the filtering output according to the data amplitude span state of any measurement point in the Beidou RTK measurement point cloud and the effective satellite quantity when the point cloud is acquired, and quantifies the reliability of the median filtering result through the data fluctuation and direction change of the local neighborhood of the measurement point when it is not suitable, so that the fusion filtering result determination of the median filtering result and the original measurement value is completed in the case that the direct median filtering result is not suitable for filtering output. The application can avoid the reverse filtering optimization effect of the median filtering in the Beidou RTK measurement point cloud, and improve the RTK measurement point cloud data filtering accuracy of the median filtering.

The application relates to the field of medical equipment, in particular to an in-vivo positioning and mapping system based on RFID, which comprises an antenna, an RFID positioning target object, an RFID reference tag array, an RFID reader and a data processing device. In the use process, all the antennas receive the radio frequency signals fed back by the RFID positioning target object and the RFID reference tags in real time, the ranging error of the antenna is calculated by taking the RFID reference tags on the RFID reference tag array as the reference, the nearest RFID reference tag is determined by using the feedback signal of the RFID positioning target object, and the coordinates of the RFID positioning target object are calculated by the coordinates of the RFID reference tag and the ranging error. The method can apply the positioning technology based on the RFID radio frequency identification to the in-vivo positioning by using fewer radio frequency devices, can not affect the normal operation of other devices in the operation, and can eliminate the error and ensure the positioning precision.

Techniques for controlling a positioning service are provided. For example, an apparatus in a user equipment (UE) is provided. The apparatus comprises: at least one processor; and at least one memory including computer program code. The computer program code causes the apparatus, when executed with the at least one processor, to at least: receive a first message related to a degradation of a first positioning technique related to the positioning service and control the positioning service based on the first message.

The application relates to a space-ground integrated Beidou high-precision positioning method applied to an urban canyon, and belongs to the technical field of navigation and positioning. The method comprises the following steps: deploying a pseudolite base station, calibrating the base station coordinates through carrier phase difference, and monitoring the number of visible Beidou satellites; determining a master pseudolite, broadcasting timestamp and ephemeris data to a slave pseudolite through a Beidou short message, and combining two-way ranging data to correct a local clock to realize high-precision synchronization; then a user terminal receives Beidou and pseudolite signals, screens effective observation values through a shielding discrimination mechanism, combines pseudolite reference differential data into a non-difference observation equation, and solves a fusion result through a loose-tight coupling mode; finally, the pseudolite double-antenna is used to identify multipath interference, historical data is called to construct an error model, and the fusion result is corrected. The space-ground integrated fusion positioning of Beidou and pseudolites in the urban canyon scene is realized, stable centimeter-level positioning precision is output, and the high-precision positioning demand of urban traffic and surveying and mapping is met.

This invention discloses a multi-UAV dual-grid relative navigation method and device based on factor graph optimization, belonging to the field of multi-robot cooperative localization technology. Existing relative navigation technologies are affected by state modeling accuracy and measurement nonlinearity, making accurate relative position estimation difficult in challenging GNSS environments. This method first proposes a new relative position calculation method, based on which a dual absolute navigation state model is proposed, improving the accuracy of relative navigation state modeling. Then, IMU pre-integration is improved by considering gravity variations, and pre-integration of the error state is proposed. Based on this, a multi-UAV dual-grid relative navigation framework based on factor graph optimization is proposed, significantly reducing the impact of measurement nonlinearity on relative position estimation. The navigation method proposed in this invention can significantly reduce the impact of state modeling accuracy and measurement nonlinearity on relative position estimation, improving the accuracy of relative position estimation, and has practical engineering application significance.

A train positioning method, apparatus, and device based on multi-source information fusion, relating to the field of railway positioning technology, includes: acquiring lidar data, IMU data, and train image data; fusing the lidar data and IMU data to obtain a laser inertial odometer trajectory, and fusing the IMU data and train image data to obtain a visual inertial odometer trajectory; identifying kilometer markers in the train image data and calculating the distance between the kilometer markers and the train to obtain the train's absolute position; correcting the laser inertial odometer trajectory and the visual inertial odometer trajectory based on the train's absolute position; performing degradation detection, and fusing the corrected laser inertial odometer trajectory and the visual inertial odometer trajectory using a Kalman filter to calculate the train's real-time position and positioning information interval; this method, based on kilometer marker correction of the laser inertial odometer and visual inertial odometer trajectory and fusion of positioning results, achieves higher positioning accuracy than existing methods and exhibits good robustness.