432 results about "Location systems" patented technology

A system for AI-supported leak detection and localization in water distribution infrastructures, consisting of: a large number of distributed sensor nodes mounted along a water pipe, each sensor node comprising the following: a pressure sensor configured to measure local hydraulic pressure fluctuations within the pipeline with a resolution of at least 0.01 bar; a flow sensor configured to measure the volume flow within the pipeline with an accuracy of at least ±0.5% of the measured value; an acoustic sensor configured to detect vibration signatures caused by leaks in a frequency range between 50 Hz and 20 kHz; an embedded microcontroller with integrated analog-to-digital conversion circuitry for digitizing sensor outputs; a wireless communication module configured to transmit time-synchronized sensor data to a cloud-based processing platform; and a local energy subsystem with a rechargeable battery and an optional circuit for generating photovoltaic energy; the cloud-based processing platform includes an artificial intelligence engine that comprises the following: a data acquisition module configured to receive and decode the transmitted sensor data and to perform time alignment; a supervised learning module that is trained on historical data of flagged leaks and non-leaks to classify incoming sensor patterns; an unsupervised learning module configured to detect anomalies by modeling normal operating baselines of the pipeline; and a topology-aware localization module configured to determine leak coordinates using the topology of the pipeline network, modeling the propagation of hydraulic waves, and estimating the arrival time difference from multi-node acoustic detections; and wherein the system is configured to provide real-time leak alerts and georeferenced visualization via a remote monitoring interface.

The invention discloses an intelligent substation communication link fault accurate positioning method and system, and the method comprises the steps: obtaining a configuration file and equipment state data, carrying out the processing of the configuration file and the equipment state data, and generating a standardized link feature vector and a marking data set; constructing a hybrid deep learning model, and optimizing parameter configuration of the hybrid deep learning model by adopting an optimization algorithm to obtain a parameter-optimized hybrid deep learning model; training by using a real fault sample in combination with a virtual fault sample generated by a generative adversarial network, optimizing a time sequence prediction capability through an echo state network, and generating a fault positioning model; in combination with the link state data, outputting a fault link positioning result and confidence evaluation through multi-stage confidence evaluation and topological correlation analysis; and carrying out virtual-real corresponding verification in combination with the configuration file, carrying out parameter optimization on the fault positioning model, and outputting a fault positioning system. The problems that the fault positioning precision is low, the response speed is low, and complex fault scenes cannot be processed are solved.

The invention relates to the technical field of fault detection, in particular to a heating and ventilation system fault positioning system and method based on big data, and the system comprises a multi-source sensing module, a disturbance feature module, a path modeling module, a frequency spectrum matching module and a fault positioning module. In the method, a real-time disturbance sequence is constructed through time window segmentation and parameter offset calculation, separation of an active response chain and an abnormal propagation path is realized through a directional joint state vector and a topological relation table, and time asynchronism of multi-device signal transmission is eliminated by adopting a dynamic time warping algorithm. In combination with a real-time parameter bidirectional verification mechanism of a frequency domain main frequency band energy mark, a valve opening degree and a pump rotating speed, the problem of path confusion in a multi-node parameter coupling scene of a traditional method is solved, the tracing efficiency of concurrent faults in a complex pipe network system is improved, the adaptability limitation of a single-dimensional threshold mechanism to equipment performance degradation is overcome, and the method is suitable for a complex pipe network system. And the error positioning probability caused by signal delay superposition is reduced.

The invention discloses a server link fault positioning system and method, electronic equipment and a storage medium, and relates to the technical field of server link tests.Physical layer data and protocol layer data of a data collection point are collected through a collection assembly, a test assembly is controlled to conduct server link testing, the test assembly comprises a control module and an analysis module, and the control module is connected with the analysis module. The test instruction is issued to the server link through the control module, when the server link fault is monitored, the analysis module acquires the physical layer data and the protocol layer data of each data acquisition point from the acquisition assembly, and determines the fault position and / or the fault type of the server link according to the acquired data, so that the automatic link quality evaluation is realized, and the efficiency is improved. And the fault position and the fault type can be determined, so that the problems of difficulty in accurately positioning the fault position and distinguishing the hardware link fault and the software error through a single pressure test and low troubleshooting efficiency caused by manual fault positioning in the prior art are solved, and the technical effect of improving the troubleshooting efficiency is achieved.

Apparatus, systems, and methods for mapping utility lines in utility potholing operations are disclosed. Pothole mapping apparatuses, systems, and methods may be employed in utility locator devices and utility locating systems to map potholed utility lines. Data generated via pothole mapping may be used to calibrate utility depth measurements in utility locator devices and systems. Further, information revealed about utility lines during potholing procedures may be used to train neural networks and utilize artificial intelligence in generating predictions regarding the positions and characteristics of utility lines.

The invention relates to the technical field of power grid fault positioning, in particular to a rapid power grid fault positioning system based on digital twinning and AI, which obtains multi-dimensional operation data of each node of a power distribution network, constructs a structured data set, reflects the state of the system, and performs joint modeling on node features and a topological structure through a graph neural network. And reasoning to generate candidate fault nodes. And further constructing a digital twinborn model containing load flow calculation and disturbance injection, performing analogue simulation on candidate nodes, extracting an electrical quantity change rate, performing fuzzy similarity matching with operation data in a fault window, and accurately positioning a fault node. Through cooperation of three stages of prediction, simulation and matching, the problems of weak complex topology perception, poor perturbation identification, positioning offset and the like of the existing method are effectively solved, and the fault positioning precision and robustness are improved.

The invention discloses a communication equipment fault intelligent diagnosis method and device, equipment and a medium. The method comprises the steps of collecting equipment operation logs in real time, and extracting an abnormal point set; clustering the abnormal points, and matching a hardware fault, a software error and a network congestion type in combination with a preset mode library; dimensionality reduction is carried out on temperature, voltage and current sensor data based on principal component analysis, and a time-synchronized fusion feature vector is constructed; analyzing features and abnormal modes, and outputting potential fault points; associating the classification model to generate a fault priority by extracting the dynamic characteristics of the network flow; and a dependency network is constructed in combination with Bayesian reasoning, so that accurate fault positioning is realized. The system supports incremental learning, updates an abnormal mode library and automatically expands a knowledge base. Through multi-dimensional data fusion and spatio-temporal feature joint modeling, the problems that a traditional method depends on manual rules and is high in false alarm rate are solved, and the method is suitable for complex scenes such as a 5G base station and a data center.

The invention discloses a power grid fault positioning system and method based on traveling wave distance measurement, relates to the technical field of fault analysis, and solves the technical problems that traveling wave feature analysis, temperature compensation and high-precision synchronization technologies are not effectively integrated, and rapid and accurate fault positioning of a smart power grid is difficult to meet. Through the technical combination of dynamic temperature compensation, high-precision time synchronization and intelligent fault classification, the bottlenecks of traditional traveling wave distance measurement in the aspects of precision, reliability and intelligence are systematically solved, temperature sensors are deployed at key nodes of a cable, the temperature is monitored in real time, the wave speed is dynamically corrected through a formula, the overall error is reduced, and the fault location accuracy is improved. Meanwhile, an optical fiber two-way time transmission method is combined, transmission delay errors are reduced, synchronization reliability is improved, finally, a mapping library is constructed through laboratory simulation and field data, a Euclidean distance matching algorithm is combined, fault reasons are automatically recognized, and rapid positioning of the faults and accurate recognition of the fault reasons are achieved.

The invention provides a full-autonomous cell operation system based on body intelligence, and relates to the field of cell operation, the system comprises a system hardware architecture and a system software architecture; the system hardware architecture comprises a micromanipulation execution system, a precision positioning system, a multi-mode sensing system and an intelligent calculation and control center. The micromanipulation execution system is used for cell environment interaction, the precision positioning system is used for sample bearing and environment control, the multi-modal sensing system is used for providing key information, and the intelligent calculation and control center is used for operation decision making; the system software architecture comprises a sensing layer, a planning layer, an execution layer and an interaction layer. According to the application, cell recognition, tool selection, path planning, operation execution and result feedback can be automatically completed without manual intervention; through tool autonomous switching and strategy dynamic adjustment, various operations such as cell clamping, injection, controllable deformation and micro-assembly can be completed, and the problems that traditional cell operation depends on manual work, efficiency is low, and consistency is poor are solved.

The invention discloses a power distribution network line fault positioning system based on multi-source information fusion, which relates to the technical field of power system operation and maintenance and comprises a data acquisition module, a data preprocessing module, an electric network topology management module, a fault prediction module, a fault judgment module and a man-machine interaction and alarm module. The method comprises the following steps: acquiring running state information from a power distribution network in real time, generating a structured multi-dimensional information database according to the running state information acquired by a data acquisition module, and performing time alignment, format standardization and feature vector construction on the acquired running state information to generate the structured multi-dimensional information database; according to the method, a fault section is preliminarily judged according to fault features, a fault state prediction model is constructed, a multi-dimensional information database is used for estimating state variables of the model, and the method aims at overcoming the defects that in the prior art, fault positioning fuzziness and reliability are insufficient due to the fact that a single information source is relied on.

The invention belongs to the technical field of packaging jet printing, and discloses an external packaging carton two-dimensional code jet printing quality online monitoring and error correction process, which comprises the following steps: building a vision, laser, spectrum and pressure four-source sensing positioning system in a preprocessing stage, comprehensively collecting carton material and form related data, and forming a pre-calibration closed loop in cooperation with microsample jet printing verification; in the jet printing process, a high-speed imaging system of self-adaptive light supplement works synchronously, after an image is preprocessed through a combinatorial algorithm, various defects such as blooming and scratches are accurately recognized through a ResNet34-Transform-GAN fusion model, and then an LSTM neural network is used for predicting the development trend of the defects and conducting early warning; a three-level parameter configuration system of cloud decision, edge execution and twin simulation is utilized, an edge calculation unit uploads data such as materials, sizes and flatness collected in real time to the cloud, historical optimal parameters of the corresponding materials are called, and then dynamic adjustment is conducted in combination with the conveying speed.

The invention discloses a low-cost transportable system for UUV path planning and control experiments. The low-cost transportable system comprises a shore-based unit, a buoy unit, an underwater vehicle unit, a zero-buoyancy cable and a software stack, the UWB tag, the router, the GNSS and the rocker receiver are integrated in the buoy, a sealing waterproof design is adopted, and the buoy can stably float on the water surface and is in wired connection with the underwater vehicle through the zero-buoyancy cable; the three-dimensional position of the underwater vehicle is obtained, the upper computer and the UWB base station are deployed on a shore base, the upper computer interacts the calculated position with the router in the buoy through wireless communication, and a stable and efficient communication link is constructed. The system can be quickly arranged in indoor and outdoor environments, supports closed-loop path planning and control experiments, can effectively replace expensive USBL or indoor dynamic capturing and positioning systems, remarkably reduces experiment cost, and improves experiment flexibility and portability.

The disclosure includes vehicle-mounting devices to mount one or more utility locator devices to a vehicle for use in locating and mapping buried utility lines. Such vehicle-mounting devices may improve over other vehicle-mounting devices known in the art by preventing damage to associated utility locator devices as well as the vehicle mounting device. Further, such devices may be included in vehicle-based locate systems as well as in a computer implemented method for utility line positions and characteristics using Artificial Intelligence (AI).

The invention discloses a power distribution line passive real-time fault positioning system, which belongs to the technical field of power distribution line fault detection and comprises a power distribution line fault positioning device management system and a plurality of fault positioning terminals distributed along a power distribution line. The distribution line fault positioning device management system establishes two-way communication with each fault positioning terminal through a 4G / 5G wireless public network; the distribution line fault positioning device management system comprises a data center, a client and a plurality of mobile terminals. The fault positioning terminal comprises an ARM processor, a time synchronization unit, a signal acquisition unit, a signal processing unit, a passive self-powered unit, a communication unit and an auxiliary unit. According to the invention, the distributed fault positioning terminal is combined with an intelligent algorithm, so that high-precision fault recognition and real-time positioning under a complex network are realized, and the fault handling efficiency of the power distribution network is remarkably improved.

The invention relates to the technical field of power grid information system fault positioning, and particularly discloses a power grid information system fault positioning system based on adaptive learning, and the system comprises a data collection module which is used for collecting electrical quantity data and state quantity data in the operation process of a power grid; the data preprocessing module is connected with the data acquisition module and is used for carrying out preprocessing operations such as filtering, denoising and normalization on the acquired data and removing interference and invalid information in the data; and the fault feature extraction module is connected with the data preprocessing module and is used for extracting feature parameters related to the power grid fault based on the preprocessed data. According to the power grid information system fault positioning system based on adaptive learning, a dynamic multi-scale adaptive learning algorithm is fused with reinforcement learning and transfer learning mechanisms, model parameters and structures are dynamically adjusted according to the real-time operation state of a power grid, similar scene experience is migrated, and the fault positioning accuracy and adaptability are remarkably improved.

A package storage device with a monitoring and security system that utilizes motion and sensors to provide secure package delivery and validation. Also having the ability to automate the delivery process with secure communications and encrypted codes to create a hands-free delivery system. This storage device has the capability of capturing photos and metadata to enhance security and forensics. It can be connected to a cloud-based system that enables ease of interface and security connectivity in a mesh format.

The embodiment of the invention discloses a visual fine adjustment method and device of an interface, a storage medium and a terminal. Firstly, a source code and a running state preview interface are synchronously obtained, and it is ensured that operation is based on a real rendering state. Then, when the user edits the interface elements, the system accurately positions the visual elements to the corresponding positions in the source codes during operation through a pre-established bidirectional mapping mechanism. Based on the accurate positioning, the system generates a code modification instruction and updates the target code. And finally, generating a new preview by running the updated code in real time, completing an operation feedback closed loop, and realizing a real-time editing preview effect. According to the method, manual modification of complex codes is avoided through the complete process, the modification precision is ensured while the low operation threshold is kept through intuitive visual operation, and the operation simplicity and control precision are effectively balanced.

The invention provides a cable testing method and a small handheld cable tester. The method comprises the following steps: carrying out wavelet transform noise reduction, Z-score standardization and time sequence dynamic regularization on original cable data; then constructing a geometric deep learning network by using a dispersed self-organizing structure of the rotating cube set, and extracting multi-modal depth features; fusing different modal features through a spiking neural network gating mechanism and a cross-modal attention mechanism; and finally, fault classification is carried out based on a differential evolution optimized neural network, and fault location is realized by combining a time sequence generative adversarial network and a dynamic probability neighborhood growth clustering algorithm. The system also evaluates the data contribution degree of each modal through information entropy and mutual information analysis, and optimizes the model performance by using adaptive weight distribution and lightweight neural network technologies. According to the invention, various fault types such as cable breakage, short circuit, insulation aging, poor contact and the like can be identified and positioned with high precision, and the efficiency and the accuracy of cable maintenance are remarkably improved.

This application discloses a communication method for a UWB and a related product. This application can be applied to a UWB-based wireless personal area network system, a sensing system, a positioning system, a ranging system, or a communication system, and can be further applied to a wireless local area network system that supports 802.11 series protocols such as a next-generation Wi-Fi protocol of IEEE 802.11ax, for example, 802.11be or Wi-Fi 7, and a next-generation protocol of 802.11be, for example, Wi-Fi 8. The method includes: generating a first message including a first bitmap, where an ith bit in the first bitmap corresponds to an ith UWB device, and when the ith bit is set to a specified value, the ith bit indicates a location of parameter configuration information of the ith UWB device in a first DPL; and sending the first message.

The present application refers to a process and a system for collecting, storing, analyzing and visualizing electrocardiographic (ECG) data collected by portable ECG device (100) with embedded wireless communication technology, additionally containing a portable ECG device (100), a hermetically sealed box (200) of medicines containing a lock system comprising a lock (220), a first device (310) to be accessed by the patient, a second device (320) to be accessed by the medical professional, a platform for graphical display of ECG data, and a remote data storage and processing central. The hardware board of the portable ECG device contains wireless communication technology, global positioning system (GPS), start button (141), rechargeable battery charging port, and an equipment configuration and programming port. The battery (120) is Li-Ion type, containing LEDs indicating device operation, and waiting for connection. The battery status is displayed on the app display. In one embodiment, an electrode (130B) is positioned on the bottom cover (110B) of the housing (110A, 110B, 110C) of the ECG device (100).

The utility model discloses a shoulder type precise positioning fertilization system which comprises a Beidou / GPS receiving base station, a Beidou / GPS receiving mobile station, a quantitative fertilizer applicator, a server and a user side, and the Beidou / GPS receiving base station and the Beidou / GPS receiving mobile station are in mutual wireless communication connection with a Beidou / GPS satellite navigation positioning system. The Beidou / GPS receiving mobile station is installed on the quantitative fertilizer applicator in an electric connection mode, the quantitative fertilizer applicator is in wireless data transmission connection with the server, the server is in wireless data transmission connection with the user side, the quantitative fertilizer applicator is a shoulder type quantitative fertilizer applicator, and a fertilizer application switch, a mobile communication module, a camera, a control module and a power supply are installed on the quantitative fertilizer applicator. The fertilization switch, the mobile communication module and the control module are electrically connected with the power supply, and the Beidou / GPS receiving mobile station is electrically connected with the control module and the power supply. According to the utility model, the problem of large positioning data information error frequently occurring in the use process of the existing fertilizer applicator is solved, and the common phenomena of fertilizer application position information drifting, overlapping and the like are eliminated.

Systems and methods for determining a location based on image data are provided. A method can include receiving, by a computing system, a query image depicting a surrounding environment of a vehicle. The query image can be input into a machine-learned image embedding model and a machine-learned feature extraction model to obtain a query embedding and a query feature representation, respectively. The method can include identifying a subset of candidate embeddings that have embeddings similar to the query embedding. The method can include obtaining a respective feature representation for each image associated with the subset of candidate embeddings. The method can include determining a set of relative displacements between each image associated with the subset of candidate embeddings and the query image and determining a localized state of a vehicle based at least in part on the set of relative displacements.

A location system interacts with a localizing sensor operatable in an ultra-wideband (UWB) localization operation mode requiring computation of position information based on received UWB beacon signals received by the localizing sensor. The location system includes: an UWB infrastructure enabling the localizing for the UWB localization operation mode. The UWB infrastructure has: stationary transmitters emitting the UWB beacon signals into a localizing zone; discovery infrastructure wireless communicating infrastructure data about the UWB infrastructure to the localizing sensor, the discovery infrastructure having a discovery signal transceiver receiving a discovery advertisement signal from the localizing sensor and sending, in response, a provisioning signal with the infrastructure data. A data storage is configured to store the infrastructure data that is required to operate the localizing sensor in the UWB operation mode in accordance with a UWB framing protocol.

The invention relates to an underground UWB positioning system hybrid encryption method based on a dynamic key, and belongs to the technical field of UWB positioning, and the method comprises the following steps: a positioning terminal randomly generates an RSA key pair before network access, and sends an RSA public key to a positioning base station through broadcasting a network access application frame; after receiving the RSA public key, the base station randomly generates an AES secret key exclusive to the terminal, performs RSA encryption on the AES secret key by using the RSA public key provided by the terminal to form an encrypted AES secret key, and then embeds the encrypted AES secret key into a network access response frame and returns the network access response frame to the terminal; the terminal decrypts the encrypted field in the network access response frame by using a self RSA private key to obtain an original AES key; bidirectional time-of-flight ranging TW-TOF is carried out, and all data are subjected to end-to-end protection through an AES encryption and decryption mechanism.

Real-Time Locating System (RTLS) enabled human to automated vehicle interaction apparatus and methods. Systems may include a control system configured to communicate with RTLS transceivers and anchors within an environment, and autonomous vehicles (AVs) equipped with sensors and RTLS communication transceivers. A control system determines a real-time location of RTLS transceivers (“Tags”) and provides navigation, task, and behavioral instructions to AVs based on location data. RTLS transceivers can be worn by humans or attached to objects, machines, equipment, floorspace, storage bins, or other destination, thereby enabling AVs to locate and travel to humans, objects, or other destination points, perform tasks based on location data, and dynamically alter actions and behaviors. Locating and traveling to destination points may include dynamic destination points based upon movement of a destination human or item. User interactions via RTLS tags may trigger specific actions, enhancing human-automated vehicle collaboration and operational efficiency in diverse environments.

The invention discloses a passive fault positioning system and method based on SRv6 data plane detection, and the method comprises the steps: deploying a data collection module at an SRv6 network node, passively collecting a passing data message, and adding detection information into the data message; analyzing an SRH extension head in the message to extract detection information, and filtering and processing the detection information to provide formatted data; summarizing detection information in the monitoring data of different nodes in different time periods, and performing association and fusion to form a to-be-analyzed data packet; according to the detection information in the to-be-analyzed data packet, performing fault positioning analysis by using a fault analysis method to lock a fault position; and performing root cause tracing based on the fault positioning position to obtain a fault cause, outputting a fault positioning result and linking a fault processing flow. According to the method, the existing information of the SRv6 data plane is multiplexed to realize non-overhead passive detection, and high-precision and real-time fault positioning of the SRv6 network is realized.

The present application relates to the technical field of computers, and in particular to a fault root cause locating method, a fault root cause positioning system implementing the method, and a computer-readable storage medium and a computer program product. The method comprises: acquiring an architecture topology graph and abnormal alarm information of an application system; on the basis of the architecture topology graph and the abnormal alarm information, constructing a troubleshooting logical tree, wherein in the troubleshooting logical tree, a logical relationship between nodes is used to indicate a potential fault propagation link between configuration components in the architecture topology graph; performing qualitative analysis on the troubleshooting logical tree, so as to identify a potential fault point that causes a fault; performing quantitative analysis on the troubleshooting logical tree, so as to calculate a fault probability and the degree of influence of each potential fault point; and on the basis of results of the qualitative analysis and the quantitative analysis, determining a root cause fault point, and acquiring a fault propagation link of the root cause fault point.

The invention provides an intelligent fault positioning system and method based on a DC system, and relates to the technical field of power fault positioning, and the system comprises a digital twin module, a sensor network module, a real-time data synchronization module, a graph neural network model module, an online reasoning module, an intelligent decision module and a decision self-healing module. Through deep fusion of the digital twinning technology and the graph neural network, complex electrical, thermal, mechanical and environmental parameters in the direct current system can be comprehensively analyzed. The digital twin module provides a high-precision virtual model of the system through multi-physics field integration, so that a graph neural network model can accurately capture tiny anomalies and complex fault modes in the system under the support of rich and high-quality data. Through combination of the graph convolutional network and the graph attention network, the graph neural network model can effectively identify relevance between key nodes and edges, weights of neighbor nodes are dynamically adjusted, and the fault detection and positioning precision is further improved.

The invention discloses a control system of a controllable anti-recording device, and relates to the technical field of information safety protection, a multi-dimensional audio detection module adopts a quaternary cross array MEMS microphone array and can identify characteristic signals of recording equipment in a frequency band of 20 Hz to 20 kHz, an interference generation module generates a self-adaptive comb-shaped interference spectrum based on a DDS technology, dynamically avoids communication and voice frequency bands, and provides a multi-dimensional anti-recording device based on the self-adaptive comb-shaped interference spectrum. The heterogeneous computing master control module integrates a CPU and a DSP, a multi-level decision tree algorithm is built in, the composite energy management module fuses piezoelectric and electromagnetic dual-mode energy collection, and the anti-interference communication module adopts a UWB and Bluetooth 5.3 mixed link and supports dynamic frequency hopping and LDPC coding. Through combination of the multi-dimensional microphone array and an intelligent algorithm, high-precision recording equipment detection and positioning are realized, the system integration degree is high, the system can be rapidly deployed in a conference room, a confidential place and the like, and comprehensive protection is provided for information security.

Systems and method for location determination in a distributed system are disclosed. In one aspect, the distributed system operates at frequencies where obstacles and distance may preclude direct connection between a system node and a remote mobile device. The system may determine the location of the remote mobile device using an intermediate device and thus be a location system. Specifically, a position of the intermediate device relative to the system node is calculated and a position of the remote mobile device relative to the intermediate device is calculated. The two positions may be combined to determine a position of the remote mobile device relative to the system node. Once the location of the remote mobile device is known relative to the system node, a variety of location services become available.