66 results about "Locating engine" patented technology

The invention relates to the cross technical field of satellite navigation and wireless positioning technology, in particular to a real-time dynamic high-precision positioning method based on Beidou and UWB tight coupling, which solves the problem that in the prior art, error coupling in Beidou and UWB observation data is not fully solved, and especially in a high-speed dynamic scene, the positioning accuracy is greatly improved. The mutual influence of the Beidou receiver clock error, the UWB base station clock error and the multi-path error causes the continuous accumulation of the error and the significant reduction of the positioning precision. The invention discloses a real-time dynamic high-precision positioning method based on Beidou and UWB tight coupling. A data preprocessing and space-time alignment module, an error joint estimation model, an ambiguity fast fixing algorithm, a geometric constraint enhanced positioning engine module and a dynamic coordinate conversion and fusion output module are included. According to the mode provided by the invention, a highly integrated multi-model Kalman filtering architecture is adopted, so that synchronous and accurate compensation of the clock error of the Beidou receiver, the time delay of the UWB base station and the multi-path effect is realized.

An example method for Global Navigation Satellite System (GNSS)-based positioning performed by a GNSS device, the method may include receiving, from at least one satellite, a plurality of signals across a series of consecutive epochs and determining delta-ionosphere errors for the series of consecutive epochs, wherein each delta-ionosphere error indicates a change in ionospheric delay in carrier phase measurements taken on at consecutive epochs. The method may also include determining an ionosphere delay correction based on accumulating the delta-ionosphere errors and obtaining a position of the GNSS device based on the determined ionosphere delay correction.

The invention relates to the technical field of AR preview, in particular to a positioning-based AR scenic area guide method and system, and the method comprises the steps: obtaining the real-time three-dimensional position of a tourist through a Google ARCore fusion positioning engine based on a preset scenic area three-dimensional model and a space reference coordinate system; carrying out visual anchor point dynamic matching according to the real-time three-dimensional position, and identifying a current scene area corresponding to the current position of the tourist; performing virtual content scheduling and space rendering according to the current scene area, and generating space rendering content; and obtaining a visual attention behavior of a tourist on the space rendering content, screening out tourist-interested guide content according to the visual attention behavior, and generating a visual guide path according to the tourist-interested guide content. According to the method, by adjusting the loading and scheduling strategy of the virtual content, the requirements of personalized content display and smooth space guidance are met, and the experience feeling of tourists is enhanced.

The invention relates to the technical field of land surveying and mapping, in particular to a land surveying and mapping field acquisition system based on a mobile terminal, which comprises a hardware resource scheduling layer, a high-precision positioning processing engine, a field operation interaction engine, a real-time data quality verification module, an off-line and on-line asynchronous collaborative system and a multi-source heterogeneous data encapsulation center. According to the system, differential correction data and inertial navigation data are fused by using a positioning engine to realize centimeter-level positioning; executing geometric topology check and spatial precision evaluation through a verification module; and realizing incremental synchronization of end cloud data by adopting an asynchronous collaborative system. The invention aims to solve the problems that surveying and mapping depend on special hardware and the working continuity is poor in a weak network environment. By adopting the technical scheme, high-precision and high-reliability field acquisition is realized, the deployment cost is remarkably reduced, and the operation efficiency and the data quality are improved.

The invention discloses an EMC interference source rapid positioning method, system and device, and relates to the technical field of electrical measurement, and the method comprises the steps: laying a monitoring sensor network based on an electromagnetic interference signal conduction path and a radiation path of a tested device; connecting a monitoring sensing network, and acquiring interference signal data of the tested equipment in real time; performing spectrum analysis and interference type judgment on the acquired interference signal data; and taking the data acquisition flag bit as a positioning engine, and respectively carrying out adaptive interference tracking analysis according to the interference type based on judgment to obtain an interference source positioning result. The technical problems that an existing electromagnetic interference source positioning method cannot position the interference source in real time when the equipment operates normally, the positioning efficiency is low, and the accuracy is poor are solved, and the technical effect that efficient and accurate interference source positioning is achieved in the normal operation state of the equipment by collecting interference signal data in real time to conduct self-adaptive tracking analysis is achieved.

The invention provides an intelligent network connection automobile positioning method and system based on dynamic adjustable visual label cooperation. The system comprises a roadside subsystem and a vehicle-mounted subsystem. The roadside subsystem is used for deploying a dynamic adjustable visual label and a thundersight all-in-one machine; the dynamic adjustable visual labels are arranged in an array manner and comprise guardrails on the roadside and tunnel walls; the all-in-one machine comprises a millimeter-wave radar and a high-definition camera, and is equipped with an RSU communication unit. The vehicle-mounted subsystem is used for determining position information of a current vehicle and comprises a multispectral imaging module, a positioning fusion controller and a V2X communication module. The roadside subsystem further comprises an edge computing unit which is used for executing label state monitoring and cross-device target splicing. According to the multi-mode reasoning positioning engine, a UniVG-R1 reasoning chain is applied to vehicle positioning for the first time, the problem of complex scene understanding is solved, SegVG pixel-level segmentation is fused, and the pose calculation precision is improved.

Aspects presented herein may improve positioning accuracy and latency of a positioning engine that receives at least one position constraint for assisted positioning. The wireless device obtains an indication of at least one position constraint for the positioning engine. The wireless device detects whether the at least one position constraint exceeds an error threshold based on a set of PR residuals between the wireless device and at least one satellite. The wireless device excludes the at least one location constraint from the computation at the positioning engine if the at least one location constraint exceeds the error threshold, or includes the at least one location constraint in the computation at the positioning engine if the at least one location constraint is below the error threshold.

The application relates to the cross-technology field of satellite navigation and wireless positioning technology, in particular to a real-time dynamic high-precision positioning method based on tight coupling of Beidou and UWB, solves the problem that error coupling in Beidou and UWB observation data is not fully solved in the prior art, and in particular under a high-speed dynamic scene, the mutual influence of Beidou receiver clock error, UWB base station clock error and multipath error leads to continuous accumulation of errors, and the positioning precision is significantly reduced. A real-time dynamic high-precision positioning method based on tight coupling of Beidou and UWB comprises a data preprocessing and space-time alignment module, an error joint estimation model, a rapid ambiguity fixing algorithm, a geometric constraint enhanced positioning engine module and a dynamic coordinate conversion and fusion output module. The method disclosed in the application adopts a highly integrated multi-model Kalman filter architecture to realize synchronous and accurate compensation of Beidou receiver clock error, UWB base station time delay and multipath effect.

The application discloses an EMC interference source rapid positioning method, system and equipment, and relates to the electrical measurement technical field.The method comprises the following steps: based on the electromagnetic interference signal conduction path and the radiation path of the measured equipment, a monitoring sensor network is laid out; the monitoring sensor network is connected, and interference signal data of the measured equipment is collected in real time; the collected interference signal data is subjected to frequency spectrum analysis and interference type determination; the data collection mark bit is used as a positioning engine, adaptive interference tracking analysis is carried out according to the determined interference type, and interference source positioning results are obtained.The application solves the technical problems that the existing electromagnetic interference source positioning method cannot position the interference source in real time when the equipment is normally operated, and the positioning efficiency is low and the accuracy is poor, and achieves the technical effect that adaptive tracking analysis is carried out through real-time collection of interference signal data, and efficient and accurate interference source positioning is realized under the normal operation state of the equipment.

The invention belongs to the technical field of power system detection, and particularly provides a transformer area electric leakage intelligent detection and fault positioning system which comprises a distributed synchronous monitoring network, an edge intelligent analysis unit, a center diagnosis and positioning platform, a data visualization and human-computer interaction interface and a system power supply and communication module. The distributed synchronous monitoring network is deployed at a key node of a transformer area and is used for collecting synchronous current data; the edge intelligent analysis unit carries out vector analysis and manages a dynamic baseline; the center diagnosis and positioning platform diagnoses electric leakage through a self-adaptive threshold value judgment algorithm, and fault branches are positioned step by step by using a cooperative positioning engine in combination with a topological structure and vector differences. According to the invention, real-time on-line detection and accurate fault positioning of electric leakage of the low-voltage transformer area are realized, and electric leakage characteristic changes under different working conditions can be adapted.

The invention relates to the technical field of communication, in particular to a UWB base-station-free emergency positioning system applied to urban complex buildings. Comprising a personnel positioning module, a communication module, a server positioning engine module, a data processing main module and a human-computer interaction interface, and the personnel positioning module is composed of an MCU, a UWB chip, a Beidou positioning chip, an altimeter chip and a Bluetooth communication chip. The server positioning engine module and the data processing main module are matched to carry out relative positioning and absolute positioning calculation, it is ensured that accurate positioning can also be achieved in a complex building, the communication module adopts a UWB / LoRa dual-channel communication mode, communication coverage can be achieved without a base station, the system adapts to the communication environment in the complex building, and the communication efficiency is improved. And meanwhile, the data processing main module outputs the processed data and the positioning result to the human-computer interaction interface, so that the formation and position information of the internal attack team members can be displayed in real time, and the command efficiency is improved.

Disclosed are techniques for vehicle positioning. In an aspect, a positioning engine aggregator of a host vehicle determines a position estimate of the host vehicle based on one or more position fixes determined by one or more positioning engines of the host vehicle, receives input from a user interface (UI) of the host vehicle to correct the position estimate of the host vehicle, and updates the position estimate of the host vehicle based on the input from the UI.

A system can include a satellite signal receiver, a computing system, and an optional sensor. The computing system can include a measurement engine, a positioning engine, one or more integrity modules, and an optional combiner. A method can include receiving satellite signals, optionally monitoring the satellite signals, determining a positioning solution, determining an integrity associated with the positioning solution, and optionally operating an external system.

The present invention discloses an indoor cluster communication method and system based on UWB positioning, which belongs to the technical field of communication systems. The technical problem to be solved is how to realize the visual scheduling of indoor personnel by the cluster communication system. The method and system include the following steps: a global dispatching station in the cluster communication system initiates an initialization request to the UWB positioning engine, and based on the initialization request, the UWB positioning engine returns the tag information of the UWB positioning tag corresponding to each cluster user to the cluster communication system, and the tag information includes the tag identification code, user name and configuration parameters; the global dispatching station pre-defines the user information of each cluster user, and binds the cluster user and the tag identification code; for the target cluster user to be located, a positioning subscription request is initiated to the UWB positioning engine through the global dispatching station, and the UWB positioning engine periodically returns the location information to the global dispatching station based on the tag identification code and subscription period specified in the subscription request.

Aspects presented herein may enable a UE to eliminate low accuracy “subset positions” and / or “all-in-view position” from a solution separation (SS) receiver autonomous integrity monitoring (RAIM) (SS RAIM) evaluation, thereby improving the computation efficiency for the SS RAIM. In one aspect, a UE estimates a plurality of positions of the UE using all space vehicles (SVs) in a list of SVs and a plurality of subsets of SVs in the list of SVs. The UE excludes a set of positions in the plurality of positions from an SS evaluation if at least one of: (1) a weighted sum of squared residual (WSS) of the set of positions is greater than a chi-square threshold, or (2) a computed residual of the set of positions indicates a negative value. The UE performs the SS evaluation based on rest of the plurality of positions.

Various techniques for wireless communication are disclosed. In an aspect, a user equipment (UE) can receive a signal of a first frequency band from a satellite vehicle (SV), estimate a first ionospheric delay residual error based on the signal of the first frequency band, calculate a first pseudorange measurement and a first carrier phase measurement based on the first ionospheric delay residual error, and estimate a position using the first pseudorange measurement and the first carrier phase measurement. In some aspects, the ionospheric delay residual error is estimated via a Klobuchar equation. In some aspects, the position is estimated using ultra-long baseline real-time kinematic (RTK) positioning.

Systems and methods for filtering untrusted locations are disclosed herein. An example system includes a tag configured to transmit data when within one of a plurality of regions and a positioning engine. The positioning engine may be configured to receive data, analyze at least one attribute of the data to determine a current region of the plurality of regions containing the tag and an associated confidence value, and analyze prior data transmitted from the tag to determine whether the current region is different from a prior region determined from the prior data, the positioning engine may also compare (i) a time difference between receiving the previous data and receiving the data and (ii) an associated confidence value to a cost value corresponding to moving from the previous region to the current region, and update a location of the tag based on the comparison.

The application discloses a kind of angle of arrival positioning system fusion positioning method, comprising: server receives each terminal observation information data packet uploaded by base station, marks time stamp, and pre-processes according to sub-region;Grouping, subfamily is carried out to the received data according to time interval, and the data in subfamily is screened;Based on the data in subfamily, fusion positioning is carried out to obtain positioning estimate value;When the same terminal multiple sub-regions appear, sub-region switching decision, fusion positioning are carried out, and output is carried out.The application has the characteristics of multi-source heterogeneous data fusion technology, and is beneficial to construct angle of arrival positioning system fusion positioning engine.

The invention discloses a credible monitoring method of a satellite positioning system, electronic equipment and a system. The method comprises the following steps: determining a scene type and an observation data type of the satellite positioning equipment according to observation data of the satellite positioning equipment; according to the scene type and the observation data type, a model group is correspondingly selected, and the model group comprises an environmental error detection model and an environmental error envelope model; according to an environment error detection model, error abnormal data in the observation data are filtered out, and observation data to be processed are obtained; calculating a positioning result according to the to-be-processed observation data by using a positioning engine; and determining a credible monitoring result of the positioning result according to the to-be-processed observation data by using the environment error envelope model. According to the scheme, after observation data filtering is carried out based on the environment error detection and environment error envelope model based on the application scene and the observation data type, positioning calculation and positioning result credible monitoring are carried out, and the accuracy of credible monitoring can be effectively improved.

The invention discloses a tunnel real-time positioning system and method based on map matching. The system comprises a mobile positioning terminal, a plurality of positioning anchor nodes, a switch, an edge gateway, a positioning resolving module and a management visualization platform. The plurality of positioning anchor nodes are arranged in a tunnel and are in communication connection with the edge gateway through the switch; the mobile positioning terminal comprises a processor, and an inertial observation module, a wireless module and a battery which are connected with the processor; the edge gateway is used for observing data and forwarding the data to the positioning resolving module and the management visualization platform; the positioning resolving module comprises a positioning engine and a map fingerprint database, the positioning engine executes map matching and data fusion operation on inertia priori and wireless observation data reported by the mobile positioning terminal based on tunnel topology and wireless fingerprint statistical data in the map fingerprint database, and outputs a positioning result; and the positioning result is issued to the management visualization platform for real-time display. According to the invention, the positioning precision in the tunnel environment can be effectively improved.

The application provides a kind of fuzzy testing system and method for WASM module in JavaScript engine, the system is cooperatively constituted by seed generation module, target engine adaptation module and fuzzy testing module, seed generation module combines the new features of WASM, seed generation algorithm is designed.This algorithm not only strengthens the coverage of WASM and JavaScript interaction, but also ensures the semantic correctness of the test sample generated by dynamic parameter adjustment and syntax constraint.Target engine adaptation module adopts weighted coverage feedback and additional correctness checking mechanism to accurately identify potential boundary access and type confusion vulnerabilities.Fuzzy testing module efficiently discovers and reproduces security issues in the engine.The application can quickly locate the vulnerabilities such as memory corruption and boundary access in WASM module of JavaScript engine, providing key protection for web security, helping JavaScript engine developers and security researchers quickly identify security risks, improving testing efficiency and the number of vulnerability discovery, and enhancing the security of JavaScript engine.

The application provides a kind of electronic fence design method and device for construction safety control under near electric environment, comprising: through the ranging communication of mutually executed UWB base station that has been deployed and the generation of calibration parameters combined with preset calibration point, coordinate calibration is completed;Base station and personnel positioning tag bidirectional ranging obtain round-trip time delay raw data;Round-trip time delay raw data is protocol analyzed, median filtered and discarded based on statistical threshold exception data, to obtain pure ranging data set;Pure ranging data set is input into positioning engine, and real-time coordinates are obtained by trilateration and least square solution;Space relationship calculation is carried out with preset electronic fence model, and the final real-time position state and risk level are generated through buffer and hysteresis mechanism and risk judgment logic based on uncertainty;Trigger corresponding alarm and push management platform.In this way, the coordinate precision of positioning engine solution is improved, and millisecond-level accurate identification and hierarchical active warning of construction personnel approaching dangerous area are realized.

A personnel positioning system and method for a large underground cavern complex based on a 5G communication network is disclosed. The system includes: a 5G communication network module transmitting the unique NR-PCI code and antenna deployment information of each base station to a GIS information system module; the GIS information system module providing an indoor geographic database containing the binding relationship between NR-PCI codes and geographic locations to a positioning engine module; the positioning engine module calculating the location of the user equipment based on the measurement data, NR-PCI codes, and GIS geographic information reported by the user equipment, and sending the positioning result to a data management server module; the data management server module storing the positioning result, personnel trajectory, and system configuration data, and supporting access by upper-layer applications; and the user equipment accessing the 5G network, collecting positioning measurements such as reference signal received power, signal arrival time, and signal arrival angle, and uploading the data to the positioning engine module to report its own location. This system addresses the problems of insufficient positioning accuracy, reliance on additional base stations, and poor adaptability in existing technologies.

The invention discloses a BIM-based power plant personnel position dynamic monitoring and early warning method and system, and relates to the related field of power safety monitoring and alarming, and the method comprises the steps: carrying out the BIM twinborn modeling based on regional distribution data and equipment attribute data, carrying out the risk region labeling of a power plant BIM twinborn body, and obtaining a power plant three-dimensional risk map; matching and binding the power plant personnel area permission list and the power plant three-dimensional risk map, and establishing a power plant personnel-permission area set; monitoring personnel position change data by adopting a multi-mode fusion positioning engine, and performing behavior trajectory prediction to determine a movement prediction trajectory; and carrying out risk behavior verification and identification on the mobile prediction trajectory by combining a zero-trust personnel monitoring mechanism and a power plant personnel-permission region set, and carrying out dynamic grading early warning based on risk behavior characteristics. The technical problem that early warning accuracy and timeliness are insufficient in existing power plant personnel position dynamic monitoring is solved, and the technical effect of improving monitoring accuracy and risk early warning timeliness is achieved.

A method can include, receiving a set of satellite observations at a set of reference stations, formatting and transmitting the set of satellite observations to an integrity monitor, receiving the set of satellite observations at the integrity monitor, generating and transmitting one or more alarm messages for GNSS corrections at the integrity monitor, receiving the one or more alarm messages at a GNSS receiver, processing the one or more alarm message using a positioning engine collocated with the GNSS receiver to identify potentially erroneous GNSS corrections from the GNSS corrections, where the positioning engine determines an age of integrity (AOI) of the GNSS corrections.

In some implementations, a global navigation satellite system (GNSS) device may determine a plurality of position estimates of the GNSS device for a plurality of epochs spanning a period of time beginning with a first epoch and ending with a second epoch. The GNSS device may determine position change values comprising a position change value of the GNSS device for each successive epoch of the plurality of epochs based at least in part on delta carrier phase (DCP) values for the plurality of epochs. The GNSS device may perform backward smoothing on the plurality of position estimates, modifying at least a portion of the plurality of position estimates based at least in part on the position estimate of the second epoch and the position change values. The GNSS device may output information indicative of at least a portion of the modified position estimates of the GNSS device.

The embodiment of the invention provides a high-power grid-connected wind turbine generator converter state monitoring method and system, and the method comprises the steps: introducing a digital twin model which can accurately reflect the normal electrical behaviors of a converter under different wind speeds and different power instructions; an ideal current waveform (twin waveform) generated by the model is compared with an actually acquired current waveform to generate a residual signal which is theoretically and effectively stripped from the influence of working conditions. Further, a neural network model based on deep learning is adopted to carry out unsupervised time sequence anomaly detection on the residual signal flow, and a transient evolution mode of a weak fault is captured; and when an abnormality is detected, a CNN-based fault positioning engine is further triggered, and fine-grained diagnosis is performed on the original current waveform, so that the fault position and type can be accurately identified. In this way, the false alarm rate of the state monitoring system is greatly reduced.

The invention relates to the field of intelligent construction, in particular to an engineering construction auxiliary system and method, a storage medium and electronic equipment. The engineering construction auxiliary system comprises a terminal device which comprises a voice acquisition device used for acquiring a voice instruction and transmitting the voice instruction to a cloud data platform, and an AR device used for displaying received target construction auxiliary information; the cloud data platform comprises a voice recognition engine used for analyzing the voice instruction to obtain an engineering auxiliary instruction, and a decision module used for generating initial construction auxiliary information and sending the initial construction auxiliary information to the edge computing node; and the edge computing node comprises a real-time positioning engine which is used for converting the coordinate system to obtain the target construction auxiliary information and sending the target construction auxiliary information to the AR equipment. According to the engineering construction auxiliary system provided by the invention, intelligence and visualization of the engineering construction process can be realized, and the efficiency, accuracy and collaboration of the construction process are improved.

In some implementations, a global navigation satellite system (GNSS) device may include perform a carrier phase measurement of a radio frequency (RF) signal transmitted in a frequency band by a GNSS satellite at a first epoch and obtain a first set of SSR corrections applicable to the frequency band and the GNSS satellite at the first epoch. The device may determine a correction discontinuity based on a comparison of the first set of SSR corrections to a second set of SSR corrections applicable to the frequency band and the GNSS satellite at an epoch previous to the first epoch. Moreover, the device may determine a measurement adjustment for the carrier phase measurement to compensate for the correction discontinuity. Also, the device may output an indication of a position estimate of the GNSS device corresponding to the first epoch based on the measurement adjustment for the carrier phase measurement.

The invention relates to the technical field of nuclear physical detection, in particular to a nuclear latex proton track positioning and predicting system based on a bidirectional neural network, and the system comprises a bidirectional neural track extraction module which is used for carrying out space-time bidirectional feature coding and capturing a track motion dependency relationship; the multi-scale correlation positioning engine is used for fusing pyramid pooling and improving YOLOv8 to accurately position track end points and inflection points; the dynamic noise suppression network is used for generating a GAN construction noise library, adaptively denoising, retaining track edge details and improving the background signal-to-noise ratio; the track evolution prediction module is used for predicting a proton motion track, constructing a dynamic prediction model by fusing a graph neural network, controlling a prediction error, and correcting parameters and adjusting a path through actually measured data when the error exceeds a threshold value; and the intelligent scanning control module is used for dynamically optimizing microscope parameters and paths according to track positioning and prediction results. Therefore, the problems of insufficient positioning precision, poor prediction stability, poor dynamic adaptability and the like in the prior art are solved.