53 results about "Location Equipment" patented technology

The invention relates to the technical field of power distribution station inspection, and discloses a power distribution station automatic inspection method based on image recognition. According to the method, multi-spectral image data of multiple areas in a power distribution station are collected in real time, and a multi-channel feature tensor of an equipment state is generated through a feature extraction network; performing feature fusion of space and frequency spectrum dimensions on the multichannel feature tensor by using a multi-scale convolutional attention network, and outputting an enhanced device feature map; inputting the data into a cascade anomaly detection module, positioning an equipment surface defect region by adopting a region segmentation algorithm, and analyzing and generating a defect evolution trend vector in combination with time sequence characteristics; on the basis of the vector, probability distribution of equipment fault risks is predicted through a space-time propagation model, and a dynamic risk field is generated; and finally, constructing a self-adaptive early warning decision tree for the dynamic risk field, and generating an inspection maintenance instruction according to risk probability threshold grading. According to the method, automation and intelligentization of power distribution station inspection are realized, and support is provided for efficient maintenance of the power distribution station.

The invention discloses a property asset digital operation and intelligent security linkage cooperative processing system and an implementation method, and relates to the technical field of Internet of Things, and the system comprises a protocol adaptive gateway layer which solves the problem of compatibility of multi-manufacturer equipment, and outputs a standardized data stream based on a dynamic protocol sniffing and fingerprint feature library, SDK-free access control, fire protection, monitoring and IoT equipment; the method comprises the following steps: constructing a millimeter-level precision three-dimensional space model by a digital twinborn middle table layer, fusing a security event and operation data, and ensuring that the operation is compliant and audible through blood relationship tracking; the intelligent decision execution layer combines a rule engine and machine learning to generate a linkage instruction, drives a work order to be automatically distributed and positions an equipment fault responsible party; and the edge cooperative computing node locally realizes video millisecond-level analysis, and starts localized linkage according to an emergency plan when the network is disconnected, so as to ensure that the core security function is not interrupted.

The invention discloses a hoisting digital twin system based on Beidou sensing and intelligent fusion and a management method, and relates to the technical field of intelligent construction, the system comprises a Beidou intelligent positioning device used for collecting Beidou positioning data and IMU attitude data of a hoisting member in real time; the layered multi-error fusion suppression unit is used for receiving the data preprocessed by the Beidou intelligent positioning equipment, and sequentially performing multi-path error decomposition, data fusion and dynamic error compensation to output corrected Beidou positioning and IMU attitude data; and the modularized hoisting digital twinborn collaborative management and control platform is used for accessing and fusing the corrected Beidou positioning and IMU attitude data, environment data and video data, and driving a BIM model to perform synchronous display. The method solves the problems of low positioning precision and poor anti-interference capability of traditional hoisting, realizes safe management and control of the process and improvement of the operation efficiency, and is suitable for hoisting operation of large bridge prefabricated parts in complex environments such as sea crossing and mountainous areas.

Aspects presented herein may enable a tracking device to disable its transmitter based on determining whether the wireless device is within the vicinity or a threshold distance of an airport and / or based on information or measurements obtained from its modem receiver. In one aspect, a wireless device detects whether the wireless device is within a threshold distance of a target location or whether the wireless device is airborne. The wireless device disables a transmitter of the wireless device based on detecting that the wireless device is within the threshold distance of the target location or that the wireless device is airborne.

The invention discloses a distributed new energy monitoring method and system based on machine vision, and the method comprises the steps: obtaining real-time image data through an image collection device, combining an abnormality detection algorithm and a posture detection algorithm, positioning equipment abnormality, evaluating the energy conversion efficiency, and fusing a light and shadow distribution analysis result to judge a potential abnormal region. And for an abnormal region, extracting operation data from the edge calculation unit, integrating image analysis and operation parameters by adopting a multi-source data fusion algorithm, generating a global state evaluation index, and triggering an early warning and maintenance process based on the global state evaluation index. Through multi-dimensional data fusion and intelligent algorithm integration, the operation reliability and maintenance efficiency of renewable energy facilities are remarkably improved, and important technical support is provided for sustainable development of green energy.

The invention discloses an intelligent positioning method and positioning equipment for contract key fields, and relates to the technical field of artificial intelligence. In the method, a positioning device identifies an entity node, a declaration node, a reference node and an action node from a contract document set based on a preset semantic recognition rule; extracting a reference edge, a causal edge and a constraint edge from the entity node, the declaration node, the reference node and the action node based on a preset relation extraction template; constructing a cross-document causal graph based on the nodes and the edges, and labeling position information of each graph node in the contract document set and a document identifier to which the graph node belongs for each graph node; when a positioning request of a target key field is received, positioning a query node corresponding to the target key field in the cross-document causal graph; performing layer-by-layer traversal from the query node according to the type of the edge connected with the query node to obtain a termination node containing the actual value of the target key field; and outputting a positioning result of the target key field in the contract document set based on the termination node.

The invention relates to an equipment positioning method and device and computer equipment. The method comprises the following steps: sending a positioning request to a device to be positioned; the positioning request is used for acquiring a first positioning result of the to-be-positioned device; in response to the acquisition failure of the first positioning result, acquiring multimedia data of an environment in which the to-be-positioned device is currently located; the multimedia data is at least one of video data of the current environment and audio data of the current environment; and positioning the to-be-positioned device according to the multimedia data to obtain a target positioning result of the to-be-positioned device. By adopting the method, the equipment can be accurately positioned.

1. Name of the product in this design: Handheld rangefinder thermal imager. 2. Application of this design: This design is a handheld ranging thermal imaging device that integrates infrared temperature measurement and laser ranging functions. It can be used for precise location of equipment faults, building inspection, industrial maintenance, fire rescue, and forest protection. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention provides a three-dimensional model real-time generation system based on a multi-source data synchronous acquisition device, and relates to the technical field of three-dimensional modeling, the system comprises a multi-source data synchronous acquisition device, a control device, a processor and a memory in which a computer program is stored; the multi-source data synchronous acquisition device comprises a device main body which integrates a laser radar, an image acquisition device, an RTK measurement device and a Beidou satellite positioning device. According to the invention, an initial Gaussian ellipsoid set can be initialized and generated based on a plurality of scene images with different collection view angles corresponding to a scene to be modeled and a depth point cloud, and a target Gaussian ellipsoid is used to replace an initial Gaussian ellipsoid corresponding to each key monomer target corresponding to a corresponding cluster; according to the method, the initial Gaussian ellipsoid set is updated, the data calculation amount in the subsequent optimization processing process of all updated initial Gaussian ellipsoid sets is effectively reduced, the calculation load is reduced, and therefore the generation efficiency of the three-dimensional model is improved.

Embodiments of the present application provide a positioning method and device, electronic equipment, storage medium and program product. The positioning method comprises: determining a plurality of target location points based on the similarity between the device fingerprint data of the to-be-positioned device and the device fingerprint data of the location points recorded in the device fingerprint database; the device fingerprint data comprises wireless network signal data and direction; determining a first weight value based on the similarity between the device fingerprint data of the plurality of target location points and the to-be-positioned device fingerprint data; and weighting the plurality of target location points based on the first weight value to obtain the location of the to-be-positioned device. Since the angle towards the wireless access point, i.e. the direction of the device, will affect the performance of the wireless network signal data, the similarity between the directions is introduced into the WKNN algorithm for weight calculation, thereby improving the accuracy of device positioning.

The invention discloses a main network SVG graph model updating method, system and device based on an overlapping sliding window mechanism and dynamic correction and a medium, and the method comprises the steps: carrying out the sliding cutting of a main network SVG graph according to a preset window size and an overlapping rate, and generating a sub-graph set containing an overlapping region; electrical equipment primitives and coordinates in a sub-graph set are recognized through a target detection model, connecting lines between the equipment are extracted based on a straight line detection algorithm, the equipment primitives and the coordinates of the connecting lines are accurately positioned, and the problems of missed recognition and false recognition in a high-density graph are solved; the connection relation is dynamically corrected according to a power topology rule, reconnection operation is executed on the connecting lines crossing the bus to correct abnormal topology, a final to-be-rendered area is generated, and it is ensured that a graph model is consistent with an actual power grid structure; calculating a comprehensive complexity index of the region according to the attribute value of the to-be-rendered region; and on the basis of the comprehensive complexity index and the set threshold value judgment result, the judgment area is subjected to CIM model data rendering or updating operation, interface jamming is avoided, and the main network SVG graph model updating requirements of different complexities based on an overlapped sliding window mechanism and dynamic correction can be met.

The application discloses a kind of distributed monitoring method and system for distribution switch, it is related to power equipment monitoring technical field, to improve distribution switch monitoring efficiency.The application is deployed at each distribution switch to be monitored and obtains operating data by monitoring component containing local, cloud deployment module;Local deployment module is handled into time sequence slice structure data as operating data, creates corresponding data window and constructs window association chain;Cloud deployment module filters the data window under non-execution time sequence, corresponding data window is stored in cloud environment after reintegration window association chain;Distribution switch determines the data window of current operation process as execution time sequence in real time, when abnormal, establish guiding chain operation window association chain, update the data window in cloud environment, and then determine the equipment state of each distribution switch, realize the hierarchical collaborative processing of distribution switch operating data, and can quickly and accurately locate equipment anomaly.

As described herein, a wireless locating device is equipped with a Bluetooth radio, global positioning system (GPS) radio, WiFi radio, cellular radio, and battery. Based on an update frequency, the wireless locating device activates the Bluetooth radio which then broadcasts a message. A user equipment (UE) receiving that message may connect with the wireless locating device, which may then send to the UE at least a battery indicator. The UE may then add a UE location to the battery indicator and provide both to a service that maintains information about wireless locating devices. When no UE connects to the wireless locating device, the wireless locating device second activates the GPS radio and WiFi radio, which obtain a location or location information of the wireless locating device, and the cellular radio. The wireless locating device then sends its location and battery indicator to the service via a cellular connection.

This invention relates to a multi-dimensional characteristic monitoring system for power distribution cables. The system includes a snap-on integrated sensor, partial discharge / fault location / temperature rise circulating current monitoring equipment, shared hardware equipment, and a system fusion management device. The integrated sensor synchronously collects partial discharge, fault traveling wave, temperature, and circulating current signals and outputs them uniformly. The three monitoring devices receive signals through a unified interface and analyze them independently. The shared hardware provides unified power supply, communication, and GPS / BeiDou dual-mode clock synchronization. The system fusion management device performs multi-dimensional data fusion analysis and collaborative early warning. All devices achieve time synchronization, resource sharing, and data interoperability. The fault location equipment integrates multi-source abnormal data to complete fault prediction and accurate location. The fusion management device mines parameter linkage relationships to identify complex hidden dangers. This system achieves integrated collaborative monitoring of multi-dimensional characteristics of power distribution cables, improves the accuracy of monitoring and fault tracing, reduces equipment and maintenance costs, and is suitable for the operation and maintenance needs of 6-35kV power distribution network cables.

The invention discloses a multi-sensor cooperative monitoring system and method for forging and pressing equipment, the system comprises a plurality of sensors, a processor, an alarm module and a control module, the plurality of sensors are distributed at target parts of the forging and pressing equipment, and multi-dimensional operation data are collected in all directions; the processor extracts characteristic parameters by adopting a dynamic threshold algorithm, and accurately finds and locates equipment abnormity reasons through operation data association analysis; the alarm module generates graded alarm signals according to the deviation degree, clearly reflects the abnormal severity, and improves the early warning effectiveness and pertinence. The control module automatically matches a control instruction according to the alarm signal, rapidly adjusts the operation state of the equipment, reduces the risk of manual intervention, and guarantees the production continuity. And by constructing the equipment health state model, the system can also realize preventive maintenance, find potential hazards in advance, prolong the service life of the equipment and reduce the maintenance and operation cost.

The embodiment of the application provides a kind of equipment abnormality detection method and system based on infrasonic wave data, belong to equipment state detection technical technical field.The method comprises: collecting infrasonic wave signal and corresponding medium characteristic parameter in the running process of target equipment, establish the medium propagation characteristic table for representing signal propagation path;Based on the medium propagation characteristic table, construct propagation correction model, execute distortion correction to infrasonic wave signal, output correction signal;Based on correction signal, extract time-varying characteristic parameter and construct time-varying characteristic matrix, calculate characteristic drift rate and input drift determination model;Based on drift determination model, execute environment normalization and covariance drift analysis, when drift rate exceeds preset threshold, output equipment abnormality determination result.The present application scheme realizes the distortion correction of infrasonic wave signal in complex propagation medium and multi-feature covariance drift identification, so as to accurately locate equipment abnormal position under environmental interference and determine abnormal type.

This invention is a non-intrusive load decomposition method and system based on multi-feature event classification. The decomposition method uses time-frequency domain features to classify events. Based on the event classification results, the working time period of the equipment can be determined and the working range of the equipment can be located. By using the self-attention mechanism of Transformer to ignore the data during the period when the equipment is not running, attention can be focused on the working range of the target equipment based on the located working range, and the operating power of the target equipment can be better predicted.

This invention relates to the field of energy data management and control technology, and discloses a smart park energy data dynamic management and control system. The system's energy data acquisition module collects and preprocesses the operational data stream within the park in real time. An energy feature analysis module extracts multi-dimensional features from the data stream, identifying feature vectors such as peak load and steady-state operation. An event triggering engine generates energy management event signals based on feature vectors, threshold comparisons, and time-series pattern matching. A parameter node identification module analyzes the time series of event signals to locate key nodes such as equipment start-up / shutdown and load surges. An offset calculation module calculates the offset of energy parameters relative to historical benchmarks for key nodes. A similar parameter derivation module derives a set of transferable parameters, including general control parameters and scenario-adaptive parameters, based on the offsets and historical database. A dynamic control module uses this set to make real-time adjustments to the park's energy allocation, such as power distribution and equipment scheduling.

1. Name of the product in this design: Handheld rangefinder thermal imager. 2. Application of this design: This design is a handheld ranging thermal imaging device that integrates infrared temperature measurement and laser ranging functions. It can be used for precise location of equipment faults, building inspection, industrial maintenance, fire rescue, and forest protection. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D rendering 1.

Method for locating a GNSS interference source, associated computer program and localization device. The present invention relates to a method for locating a GNSS interference source (12), comprising the following steps: - rotating two antennas (31, 32) around a common axis of rotation to form N different respective positions corresponding to different angles of rotation; - in each of the N positions, acquisition by each antenna of a GNSS signal comprising a useful signal and an interference signal, and calculation of a phase shift between the acquired interference signals; - determination of a direction of the interference source (12) using a maximum value of the N calculated phase shifts. Figure for the abstract: Figure 1

Disclosed are systems and techniques for wireless positioning. For example, a computing device can determine a duration between a prior session and a current session for positioning the device is less than a duration threshold value. The computing device can determine measurement errors of measurements of non-line of sight (NLOS) signals from one or more NLOS SVs of the NLOS SVs are greater than the previous horizontal uncertainty for the device. remove the one or more NLOS SVs from an SV list comprising the plurality of SVs to generate an updated SV list. The computing device can determine the one or more positions for the device based on measurements from signals transmitted from the SVs in the updated SV list and the updated horizontal uncertainty for the device.

The invention discloses a double-end traveling wave distance measurement method and device for coping with time synchronization loss and a storage medium, and the method comprises the steps: calibrating and storing the inherent phase offset of power frequency voltages at two ends of a line in advance when time synchronization is normal; when a fault occurs after the time synchronization signal is lost, through identifying a power frequency voltage zero crossing point before the fault and combining with the phase offset, or carrying out cross-correlation calculation on a power frequency waveform before the fault at one end and a waveform at the other end, realizing accurate alignment of recording data at the two ends on a time axis, so as to establish a relative synchronization time reference; then, accurately identifying the arrival time of the wave heads of the initial traveling waves at the two ends by using a wavelet transform modulus maximum method; and finally, based on the aligned time reference, calculating the time difference of the traveling wave arriving at the two ends, thereby realizing accurate fault positioning independent of a satellite time synchronization signal. The device and the storage medium are used for implementing the method. According to the method, the robustness and the usability of the power distribution network traveling wave fault positioning system under the time synchronization abnormal working condition are effectively improved.

A system is provided.SOLUTION: A system comprising: means for installing a sensor in each traffic light and measuring a traffic volume of automobiles, a traffic volume of bicycles, and the number of pedestrians for a certain period of time; means for proposing an optimal switching timing of each signal by artificial intelligence based on the collected data and setting a basic signal switching time based on the proposal; means for aggregating monitoring cameras, devices providing location information, and other traffic data in real time and accumulating them in a central server; and means for optimizing and reflecting a switching time of each traffic light by artificial intelligence based on the traffic volume data accumulated in real time.SELECTED DRAWING: Figure 1

This invention relates to the field of electronic detonator inspection, addressing the problem of high false detection rates in systems operating under high safety thresholds. Specifically, it is an electronic detonator assembly quality inspection system based on industrial vision technology. This invention constructs a multi-level verification process involving initial acquisition, preliminary judgment, secondary acquisition, and arbitration judgment. Without lowering the safety threshold, it effectively offsets transient environmental interference that may be encountered during a single acquisition, significantly reducing the false detection rate caused by occasional image quality issues. Furthermore, it can statistically analyze the final judgment, calculating not only the overall pass rate but also intelligently identifying the time and speed regions of defective product concentration by analyzing the qualified detonator sequence. This facilitates rapid location of equipment anomalies and process parameter imbalances. Finally, the system continuously optimizes its model as the data from the above processes accumulates, improving the system's intelligence level and long-term stability.

The application provides a three-dimensional model real-time generation system based on a multi-source data synchronous acquisition device, and relates to the technical field of three-dimensional modeling.The system comprises a multi-source data synchronous acquisition device, a control device, a processor and a memory storing a computer program.The multi-source data synchronous acquisition device comprises a device main body, and is integrated with a laser radar, an image acquisition device, an RTK measurement device and a Beidou satellite positioning device.In the application, an initial Gauss ellipsoid set can be initialized and generated based on scene images and depth point clouds corresponding to a plurality of acquisition angles of a scene to be modeled, and an initial Gauss ellipsoid corresponding to each key single object corresponding to a corresponding cluster of a target Gauss ellipsoid is replaced, so that the updating of the initial Gauss ellipsoid set is realized, the data calculation amount in the subsequent optimization process of the initial Gauss ellipsoid set after all updates is effectively reduced, the calculation load is reduced, and the generation efficiency of the three-dimensional model is improved.

A method for locating a device includes forming a beam from a first wireless transmitter signal and a second wireless transmitter signal at a transmitter device; performing a scan operation for a receiver device with the formed beam; evaluating at least one criterium associated with the scan operation of the formed beam; and locating the device based on the evaluated at least one criterium.

This document provides systems and methods for performing localization in a patient.SOLUTION: A method for localization within a body includes providing at least one processor coupled to at least one data storage device, establishing and calibrating, by the at least one processor, a localization coordinate system within the body by executing a first localization mode, recalibrating, by the at least one processor, the localization coordinate system by executing a second localization mode, and localizing, by the at least one processor, a device within the localization coordinate system using the first localization mode and the second localization mode. The first localization mode may be an impedance-based localization mode and the second localization mode may be a magnetic-based localization mode, or vice versa.SELECTED DRAWING: Figure 3

The present application relates to the technical field of communications, and provides a data collection method and apparatus, a device, a program product, and a medium. The method comprises: acquiring indication information, the indication information being used to indicate generation of first data; and generating the first data, the first data comprising at least one of: measurement information used for model input; tag information, the tag information comprising location information of a device to be located and / or location data correlated with the location information of the device to be located; and timestamp information.

This application relates to the field of data processing technology, and in particular to a method, apparatus, electronic device, and storage medium for determining the root cause of equipment fault alarms. Upon receiving a fault alarm event, the method acquires its textual and structured modal information, extracts features from these two modalities to obtain textual feature vectors and structured feature vectors, fuses them to generate a multimodal feature vector, and inputs this multimodal feature vector into a preset target prediction model trained based on dynamic curriculum learning. This model then outputs the predicted root cause of the fault alarm event. By fusing multimodal information and utilizing a dynamic curriculum learning model, this application effectively solves the problems of traditional methods relying on a single data source and having low fault diagnosis accuracy, enabling more precise location of the root cause of equipment faults.