85 results about "Location Equipment" patented technology

The invention belongs to the technical field of multi-source heterogeneous data quality and analysis, and relates to a data management and intelligent analysis method oriented to power multi-source heterogeneous. According to the method, ontology model alignment, temporary ontology generation and multi-mode semantic embedding technologies are adopted, semantic unification of cross-data types is achieved, meanwhile, a spatio-temporal joint indexing mechanism is established, geographic coordinates and timestamps are bound and stored, efficient multi-dimensional query is supported, and data integration efficiency and semantic consistency are improved; the problem of poor adaptability of a fixed threshold value is solved by dynamically adjusting the operation data safety threshold value and evaluating the abnormal confidence coefficient, the detection precision and credibility of the power multi-source heterogeneous data anomaly are improved, the anomaly detection accuracy is improved, and the false alarm rate is reduced; by constructing an abnormity confirmation logic and combining equipment parameters, environment data and communication states, reasons such as equipment faults, environment interference and communication abnormity can be accurately positioned, root causes can be quickly positioned, and time can be shortened.

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 an equipment intelligent health state evaluation method, which comprises the following steps: S1, collecting data, and preprocessing multi-source heterogeneous data to form a standardized relational data set; s2, performing multi-index gradient assignment, and performing assignment on core indexes through reference value setting and a linear interpolation method; s3, carrying out comprehensive weight distribution on each core index by adopting a mixed weight distribution mechanism; and S4, constructing a CNN-LSTM hybrid prediction model, extracting key time sequence features in the equipment production operation data through a CNN layer, processing time sequence data through an LSTM layer, learning a long-term dependency relationship, predicting a future equipment health state score, and providing a maintenance suggestion. By constructing a multi-dimensional and dynamic equipment health state scoring system, the problems that a traditional evaluation method is high in subjectivity and insufficient in quantification are solved, transformation from passive maintenance to predictive maintenance is achieved, meanwhile, a visual health report can be generated, and a manager can be assisted in rapidly positioning weak links of equipment and making an optimization strategy.

Various implementations disclosed herein include devices, systems, and methods that localize a device based on detecting planes in depth data acquired by the device. For example, an example process may include detecting first plane data in first sensor data acquired by a sensor at a first viewpoint location in a physical environment, detecting second plane data in second sensor data acquired by the sensor at a second viewpoint location in the physical environment, determining that the first plane data and the second plane data correspond to a same plane based on comparing the first plane data with the second plane data, and determining a spatial transformation between the first viewpoint location and the second viewpoint location based on the first plane data and the second plane data.

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.

A scoring module for managing golf tournament scoring data may include a score management device, location device, and an object detection device. The score management device may include a user interface having a display. The object detection device may be used to determine ball locations on a golf course from a location remote from the ball locations. The scoring module may be movable throughout the golf course during play of a golf tournament and the location device may be employed to determine a current location of the scoring module following each move. Determination of ball locations may utilize the current location of the scoring module.

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 a method for detecting SF6 gas leakage of GIS equipment. The method comprises the following steps: acquiring field images of the GIS equipment in real time through optical gas imaging equipment; a target detection algorithm based on a YOLOv8 model is adopted to identify and position the contour of the GIS equipment; identifying a potential SF6 gas leakage area through a background subtraction method and differential calculation; performing reverse tracking on the optical flow field of the SF6 gas leakage area through a streamline integral method, and determining a leakage point of the SF6 gas and a spatial position coordinate of the leakage point; determining the specific position of the leakage point by judging whether the leakage point is located at the edge of the contour of the GIS equipment and performing area expansion detection by taking the leakage point as the center; and dynamically marking and visually displaying the position of the leakage point in the constructed GIS equipment three-dimensional point cloud model. The method effectively solves the technical problems that in a traditional method, the positioning precision is low, the anti-interference capacity is weak, and the leakage position cannot be visually displayed, and safety monitoring of GIS equipment is achieved.

The invention discloses a heating and ventilation equipment fault identification method and system, and relates to the technical field of heating and ventilation equipment.The method comprises the steps that building use behaviors, environment response data and heating and ventilation equipment operation data are collected, and a coupling model and a behavior-driven operation mode between the building behaviors and environment and equipment response are constructed; according to the method, the building behaviors, the environment responses and the equipment operation data can be integrated to carry out modeling analysis, the accuracy and the real-time performance of fault recognition are improved, and the fault recognition efficiency is improved. According to the method, abnormal behavior tracks and response dislocation can be accurately identified, potential fault reasons of equipment can be positioned in an assisted manner, rapid feedback and operation and maintenance response of fault information are realized through structured early warning and visual display, causal association analysis is introduced, historical maintenance data are effectively utilized, and the intelligence and maintenance efficiency of fault judgment are improved.

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.

A scoring module for managing golf tournament scoring data may include a score management device, location device, and an object detection device. The score management device may include a user interface having a display. The object detection device may be used to determine ball locations on a golf course from a location remote from the ball locations. The scoring module may be movable throughout the golf course during play of a golf tournament and the location device may be employed to determine a current location of the scoring module following each move. Determination of ball locations may utilize the current location of the scoring module.

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.

Apparatuses and methods for positioning are disclosed. In the arrangement a request for information associated with location of an apparatus is received by the apparatus, the request including an indication of a plurality of sets of radio accesses and information of positioning integrity. The apparatus determines based on the information of positioning integrity whether a position estimate based on a set of radio accesses of the indicated plurality of sets of radio accesses is to be reported in response to the request and responds the request according to the determining.

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.

A method for localizing a device includes determining a first position estimate for the device using acquired skyline data and determining second position estimate using an object model representing expected representing locations of instances of objects from multiple object classes. A combined position estimate is then determined based at least in part on the first and second position estimates.

The invention discloses a voiceprint visual imaging method applied to a power transmission and transformation project, and relates to the field of voiceprint visual imaging, and the method comprises the following specific steps: S1, carrying out the data collection of power transmission and transformation project equipment; s2, transmitting and summarizing the acquired data; s3, performing optimization processing on the summarized data, and performing feature extraction; s4, establishing a model according to the extracted features; s5, performing fault judgment and analysis on the power transmission and transformation engineering equipment according to the established model; s6, carrying out visual imaging display; s7, maintaining the power transmission and transformation project equipment, and giving a maintenance suggestion; and S8, establishing a data storage library. According to the voiceprint visual imaging method applied to the power transmission and transformation project, data acquisition is carried out on power equipment, visual imaging display is carried out according to the acquired data, the distribution state of a sound source in space is displayed in real time, power equipment faults are rapidly determined, and equipment defects are accurately positioned.