13 results about "Locating engine" patented technology

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.

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.

This invention relates to a multi-dimensional anomaly detection method and system for communication equipment operation status, belonging to the field of communication equipment operation and maintenance and network status monitoring technology. Addressing the shortcomings of existing technologies such as single detection dimensions, fixed thresholds, high rates of missed detection of latent anomalies, high false alarm rates, and lack of hierarchical localization capabilities, this invention constructs a multi-dimensional coupled feature extraction model, an adaptive dynamic threshold algorithm, a trend drift perception mechanism, and an anomaly hierarchical localization engine through a complete process including multi-dimensional data acquisition and preprocessing, multi-dimensional coupled feature fusion calculation, adaptive dynamic threshold generation, parameter trend drift perception, anomaly comprehensive hierarchical judgment, anomaly tracing and localization, and iterative optimization. This invention can reduce the missed detection rate of latent anomalies and the false alarm rate, achieving all-weather, high-precision, and proactive closed-loop intelligent detection of communication equipment operation status.

This invention discloses a VR virtual-real fusion interaction system and method based on large-space positioning and dynamic rendering. The system includes: a physical space modeling module to generate a spatial risk field function; a hybrid positioning engine that uses tightly coupled extended Kalman filtering to fuse SLAM visual features and UWB / Bluetooth AoA data to calculate pose, and integrates a long short-term memory network for predictive compensation in case of visual failure; a spatial synchronization and dynamic scheduling module to allocate rendering and bandwidth resources; a virtual-real fusion rendering unit that dynamically generates a fused video stream containing virtual scenes and boundary warnings; a low-latency transmission network that distributes the video stream based on WiFi 7 with a latency of no more than 15ms; and a terminal presentation and closed-loop correction module that displays and transmits IMU data to correct pose. This invention achieves highly robust positioning, dynamic boundary warning, predictive resource scheduling, and multimodal interaction closed loop, significantly improving the immersion and safety of large-space multi-person VR experiences.

A method for position estimation in a positioning system includes receiving, by locator devices, positioning signals from a mobile device, generating positioning information with associated synchronization identifiers based on the respective received positioning signals, and providing the positioning information with the associated synchronization identifiers to a positioning engine. The positioning engine compiles a set of related positioning information selected from the provided positioning information based on a similarity measure of the associated synchronization identifiers, and determines an estimated position of the mobile device based on the set of related positioning information.

The present application relates to a kind of intelligent palpation positioning system and method based on multi-modal perception and anatomy model matching, belong to medical auxiliary equipment and artificial intelligence technical field.System includes: multi-modal perception glove, for collecting pressure, posture and electromyographic signal in the process of palpation;Anatomy digital model database, store three-dimensional anatomical model with semantic label;Intelligent recognition and positioning engine, for real-time matching of sensing data and anatomical model, identify and locate the anatomical structure being palpated;Interaction and display terminal, for presenting results.Method includes: collect multi-modal sensing data, match and identify initial anatomical reference point, extend the surrounding soft tissue based on palpation trajectory positioning, output and display results.The present application converts subjective palpation experience into objective data, realizes the leap from measuring physical signal to identifying anatomical structure, significantly improves the standardization, accuracy and recordability of palpation.

A method and positioning engine for operating a Global Navigation Satellite System (GNSS) receiver, the GNSS receiver including a measurement engine for processing GNSS signals, the method comprising operating the GNSS receiver over multiple consecutive epochs having a predefined periodicity. The method further includes controlling the state of the measurement engine to be off at the beginning of each epoch, and controlling the state of the measurement engine to be on at a time for a defined time span prior to the end of each epoch, during which the measurement engine is controlled to obtain snapshot measurements of the received GNSS signals. The snapshot measurements are evaluated using a quality metric. The method includes: reducing the defined time span of subsequent epochs if the quality metric meets a first criterion; and increasing the defined time span of subsequent epochs if the quality metric meets a second criterion. The first and second criteria depend on the definition of the desired GNSS signal to be measured, which is set for each epoch.

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.

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.

This application relates to the field of location positioning technology, and discloses a geographic location positioning method, apparatus, device, and medium. The method includes: invoking the default positioning engine of a target application and receiving corresponding returned default positioning data; when the default positioning data is detected to meet preset abnormal triggering conditions, invoking the auxiliary positioning engine of the target application and receiving corresponding returned auxiliary positioning data, wherein the auxiliary positioning engine and the default positioning engine belong to different map service providers; selecting the positioning data pair with the highest consistency from the positioning dataset composed of the default positioning data and the auxiliary positioning data and fusing them into final positioning data to determine the current geographic location of the device; when the final positioning data meets preset convergence conditions, stopping the invocation of the auxiliary positioning engine and returning to the monitoring state where the geographic location is determined solely based on the default positioning data. This application achieves the effect of enabling applications to balance positioning accuracy and stability in complex scenarios.

This invention relates to the field of building equipment monitoring technology, specifically disclosing a multi-signal analysis and early warning system for vibration and noise of building electromechanical equipment. The system includes a multi-modal signal acquisition array, a signal preprocessing and synchronization module, a multi-source signal blind separation and reconstruction module, an equipment feature fingerprint database, a fault mode recognition and localization engine, and an early warning decision and visualization module. By extracting independent source signals from the equipment through blind source separation technology, and combining feature fingerprint comparison with vibration-acoustic fusion localization, it achieves accurate identification, mode classification, and three-dimensional spatial localization of equipment faults. Furthermore, it provides graded early warnings based on the degree of deviation, thereby improving the sensitivity and operational efficiency of building electromechanical equipment fault monitoring.

This invention belongs to the field of power system detection technology, specifically providing an intelligent detection and fault location system for transformer substation leakage current. The system includes a distributed synchronous monitoring network, an edge intelligent analysis unit, a central diagnostic and location platform, a data visualization and human-machine interface, and a system power supply and communication module. The distributed synchronous monitoring network is deployed at key nodes in the transformer substation to collect synchronous current data; the edge intelligent analysis unit performs vector analysis and manages dynamic baselines; the central diagnostic and location platform diagnoses leakage current using an adaptive threshold judgment algorithm and utilizes a collaborative location engine that combines topology and vector differences to locate fault branches step by step. This invention achieves real-time online detection and accurate fault location of low-voltage transformer substation leakage current, and can adapt to changes in leakage current characteristics under different operating conditions.