1391 results about "Real time display" patented technology

The invention provides a power equipment three-dimensional dynamic updating method and system for virtual reality training, and the method comprises the steps: collecting the working state data of power equipment in real time through a sensor; processing the working state data based on a preset function model, and calculating the physical state change of the power equipment; according to the physical state change, adjusting physical attributes of the three-dimensional model of the power equipment in real time so as to simulate physical effects of thermal expansion, stress concentration or structural deformation; loading the adjusted three-dimensional model into a virtual reality environment, and performing real-time display through a virtual reality rendering platform; and after the user executes the interactive operation through the virtual reality equipment, the working state of the power equipment is updated, and the influence of the operation on the three-dimensional model of the equipment is dynamically fed back, so that a virtual-real linkage closed-loop training process is formed. The virtual model can change in real time along with the collected data, and the technical verisimilitude and operability of virtual training are remarkably improved.

A camera system has at least a first and a second camera each with an image sensor. Active areas of the image sensors of the first and second camera are determined and define an extended image space of a real-time panoramic video. A bounding box captures a fixed position in space or an object is set. The bounding box moves through extended image space. Image data determined only by the bounding box is harvested from camera image sensors and displayed within a window on a screen in real-time. Scan-line control of images sensors based on the bounding box is updated in real-time to form an e-gimbal. Steps of the e-gimbal are performed by a machine learning inference phase on a processor.

The invention provides a pulmonary nodule display method and device, electronic equipment and a storage medium, and the method comprises the steps: segmenting a three-dimensional reconstruction image of the chest of a target patient to obtain a preoperative segmentation image, the three-dimensional reconstruction image being obtained based on preoperative CT data, and the preoperative segmentation image comprising the position information of a pulmonary nodule; segmenting the video image of the intraoperative lung tissue of the target patient collected by the thoracoscope in real time to obtain an intraoperative segmented image; feature matching is conducted on the preoperative segmented image and the intra-operative segmented image, the lens pose of the thoracoscope is determined, the preoperative segmented image is mapped into a two-dimensional reference image based on the lens pose, and the two-dimensional reference image comprises the position information of the pulmonary nodule; and carrying out image registration on the two-dimensional reference image and the intra-operative segmented image, and carrying out pulmonary nodule marking on the intra-operative segmented image to obtain a video image for displaying pulmonary nodules in real time. The position of the pulmonary nodule in the operation is accurately displayed in real time in a non-invasive mode, and the operation efficiency is improved.

A method for analyzing a ball game motion includes: in response to entering a serving stage, obtaining a motion trajectory of a ball by fitting based on a ball game video acquired; determining a hitting coordinate of a motion subject, a hitting posture of the motion subject, and a landing coordinate of the ball based on the motion trajectory and the ball game video; and obtaining a motion analysis result based on the hitting coordinate, the hitting posture, and the landing coordinate, to display the motion analysis result in real time through a display device.

The invention discloses a petroleum drilling machine equipment intelligent alarm method based on video real-time display, and belongs to the technical field of petroleum exploitation equipment monitoring, and the method comprises the steps: obtaining the operation video of a key part of petroleum drilling machine equipment, and transmitting the operation video of the key part to a monitoring center; in the monitoring center, preprocessing the operation video of the key part to eliminate the influence of illumination disturbance, and carrying out key part identification and behavior analysis on the preprocessed operation video of the key part by using an equipment part detection and behavior analysis algorithm based on deep learning to obtain a detection result of the key part; and based on the detection result of the key part, the display alarm and the sound-light alarm of the abnormal type and the occurrence position are triggered in real time, and the alarm information is sent to the handheld terminal of the driller. According to the method, intelligent fault detection and alarm are realized, manual intervention is reduced, the comprehensiveness of equipment monitoring is improved, and the accuracy and timeliness of alarm are improved.

The invention discloses a food safety pretreatment and detection device and method, and relates to the technical field of food detection.The device comprises a box body, a control module, a pretreatment module and an ATP biological fluorescence detector, the control module is integrated on the box body, and the pretreatment module is integrated on the box body; the control module comprises a microcomputer control system, a visual operation panel, a nixie tube display and a key regulator; the pretreatment module comprises a concentrator for purging and concentrating a sample, a centrifugal machine for separating the sample, a uniform mixing instrument for uniformly mixing the sample and a water bath kettle for performing constant-temperature incubation on the sample; the ATP biological fluorescence detector is integrated in the box body and is used for carrying out microbial pollution detection on the food contact surface; the control module is suitable for adjusting and controlling operation parameters through the key adjuster when any unit in the concentrator, the centrifugal machine, the blending instrument or the water bath kettle operates, and the operation parameters are displayed on the visual operation panel in real time. The invention further provides a detection method, and on-site, rapid and intelligent food safety detection is achieved.

The invention provides a vehicle-mounted instrument driving record panoramic image fusion three-dimensional projection method and system, and relates to the technical field of vehicle-mounted display, and the method comprises the steps: obtaining original panoramic image data collected by cameras around a vehicle and real-time driving state information of the vehicle; distortion correction and multi-view splicing processing are carried out on the original image to generate a spliced panoramic image; determining the type of a driving scene according to the real-time driving state information, setting corresponding three-dimensional viewpoint parameters including viewpoint height, viewpoint distance and pitch angle, performing three-dimensional space coordinate transformation on the spliced panoramic image based on the parameters, and generating a three-dimensional aerial view image adaptive to the current driving scene; an obstacle target is extracted, the boundary of an image area of the obstacle target is recognized, height stretching rendering is carried out at the corresponding position of the three-dimensional aerial view image, and a three-dimensional panoramic projection image containing an obstacle three-dimensional identifier is generated; and finally adaptively outputting to a vehicle-mounted instrument panel display screen for real-time display. The visual angle can be dynamically adjusted according to different driving scenes, the stereoscopic perception of the obstacle is enhanced, and the driving safety is improved.

A non-contact, non-invasive health monitoring device and method utilizing advanced artificial intelligence (AI) and machine learning techniques. This system captures real-time image data of a user's face using a high-resolution camera and processes the data to extract physiological signals, including Photoplethysmography (PPG, iPPG, and rPPG) and Ballistocardiography (BCG and iBCG). By leveraging facial landmark detection and deep learning models such as Convolutional Neural Networks (CNNs) and Transformers, the device predicts vital signs such as heart rate, respiratory rate, blood pressure, and oxygen saturation, alongside wellness metrics like stress levels and metabolic health. The device employs robust feature construction and signal processing modules to ensure accurate metrics under varying conditions, with error margins below 5%. Outputs are displayed in real time and integrated with external systems using standardized healthcare protocols. Applications include telehealth, fitness monitoring, public health screening, and automotive safety systems.

The invention provides a breast endoscopic surgery simulation training system. The breast endoscopic surgery simulation training system comprises a hardware end and a software end, the hardware end comprises a simulation human body model, and the software end is provided with a 3D mesh model corresponding to the simulation human body model; the simulation surgical instrument comprises a simulation electrotome, a simulation endoscope, simulation grasping forceps and a simulation incision protection sleeve, and the software end is provided with an electrotome model, an endoscope model, a grasping forceps model and an incision protection sleeve model which correspond to one another; the pose detection device is used for detecting the current pose of the simulation surgical instrument in real time and sending the current pose to the software end, so that interaction between the simulation surgical instrument and the simulation human body model is mapped to interaction between the instrument model and the 3D mesh model; the software end further comprises a display screen, and the display screen is used for displaying interaction between the instrument model and the 3D mesh model in real time. According to the scheme, breast endoscopic surgery training, teaching and research which are closer to a real surgery scene can be provided, so that the safety and the operation precision in an actual breast endoscopic surgery are improved.

A portable golf putting green putter multi-parameter intelligent training system is characterized by comprising a support (1) used for installing an electromagnetic induction type sensing device (2) and an electric control element and enabling the whole training system to be convenient to carry and move; the sensing devices (2) are installed on the two supporting legs of the support, and at least two sensing devices (2) are installed on each supporting leg; and the electric control element (3) is used for receiving the signal intensity and the time difference obtained by the sensing device (2), transmitting the signal intensity and the time difference to a computer system (4) in real time in a wired or wireless manner, calculating and analyzing the signal intensity and the time difference, displaying the speed and the angle of the push rod in real time, and comparing the speed and the angle with preset standard values, so that a coach or a practicer can improve the speed and the angle. The utility model has the advantages of simple structure, convenience in carrying, low cost and wide application range.

The invention discloses a long-distance maneuvering path planning method and system fused with DOP information, and belongs to the technical field of path planning and navigation. The method comprises the following steps: collecting special vehicle information, GNSS DOP information, geographic information and traffic information; based on the DOP value and the traffic condition, the roads are preliminarily screened, and the gradient, the slope direction, the height limit, the load bearing, the turning radius and DOP information are integrated; road condition information is converted into constraint conditions, and DOP information serves as an optimization target and is fused into a heuristic cost function of an improved algorithm; a path with the best navigation effect is obtained through path searching, visual display is carried out on a geographic information system map, and DOP information changes of all key points on the path are displayed in real time. According to the method, a GNSS signal blind area can be effectively avoided, the feasibility and navigation precision of path planning are improved in combination with vehicle dynamics constraints, and the method is suitable for long-distance maneuvering tasks of special vehicles.

An on-line program control excitation power supply with quench protection for a high-temperature superconducting magnet comprises a single-chip microcomputer for receiving control data, outputting control voltage through digital-to-analog conversion (DAC) of the single-chip microcomputer, and magnetizing a magnet coil through current stepping; a sampling signal is output to the liquid crystal screen to display corresponding voltage and current values in real time after being processed by the single-chip microcomputer analog-to-digital conversion ADC; voltage signals at the two ends of the magnet coil are sampled and returned to the single-chip microcomputer to be processed, when high voltage occurs, it is judged that the voltage signals are abnormal voltage signals, quench protection is carried out, the single-chip microcomputer outputs control signals to cut off connection between the magnet coil and the excitation power source, and residual energy of the magnet coil is released through the high-power thyristor. The provided excitation power supply has the characteristics of high power, high stability, good repeatability and good linearity; performing numerical control stepping output, gradually applying current to the superconducting coil, and slowly establishing a magnetic field; effective quench protection is achieved, and it is guaranteed that a magnet coil is not damaged by quench.

The invention discloses an astragalus membranaceus decoction piece surface defect detection method based on an improved YOLO series model. The method comprises the following steps of: acquiring a high-definition image of the radix astragali decoction pieces through a hardware acquisition device of the radix astragali decoction pieces, constructing a labeling data set containing three defects of cracks, mildew spots and damage, and performing data enhancement through modes of rotating, overturning, cutting, brightness disturbance and the like; aiming at the characteristics of complex surface texture and irregular defect form of the astragalus membranaceus decoction pieces, a YOLO series network structure is improved, linear deformable convolution is introduced into a trunk feature extraction network, and partial convolution and gated linear unit convolution are further introduced into a feature fusion module, so that the feature extraction capability and the reasoning speed are improved; visual software constructed based on Flask and the like can display detection videos, defect statistics and defect position numbers in real time, automatic screening of the astragalus membranaceus decoction pieces in a production line is achieved, the defect detection precision and detection efficiency can be effectively improved, and the method is suitable for quality control and intelligent transformation of astragalus membranaceus decoction piece production enterprises.

The invention provides a carrier rocket ground test system and method supporting visual process configuration. The system mainly comprises: (1) a visual process configuration module, which configures a test process file through a graphical interface; (2) a process analysis and scheduling module for analyzing a process file and converting the process file into a task sequence; the test execution engine module (3) is used for driving bottom hardware and executing a test instruction sequence; (4) the test resource library module is used for storing and managing various information of test elements and various information of test equipment; the execution monitoring and data management module (5) is used for displaying a test execution state in real time and recording whole-process data; according to the method, the test logic and the execution program are separated, and a user can quickly construct, modify and reuse an automatic test process in a graphical mode, so that the test flexibility is greatly improved, and the test adaptability and efficiency are remarkably improved.

The invention relates to the technical field of temperature measurement, and discloses a high-precision anti-interference food core temperature probe which comprises a first probe used for measuring the internal temperature of food, the temperature measuring end of the first probe is provided with a first heat conduction contact, and the outer wall of the first probe is slidably provided with a sliding plate. A second probe used for measuring the temperature of the outer surface of the food is elastically arranged on the outer wall of the sliding plate, and a second heat conduction contact is arranged at the temperature measuring end of the second probe; the outer wall of the first probe is sleeved with an implanter. The first probe is inserted into food through the first heat conduction contact to accurately capture the core temperature of the food, the second probe is tightly attached to the surface of the food through the second heat conduction contact to obtain surface temperature data, temperature signals of the first probe and the second probe are processed and then transmitted to the numerical control board, the temperature and the temperature difference are displayed in real time, and an operator can adjust the cooking degree accordingly. And the condition that the outside of food is scorched and inside or the inside of food is over-cooked and the outside taste becomes poor is effectively reduced.

The utility model discloses an automation line of a single-chain pneumatic tube type bottle silk-screen printing machine, and aims to solve the problems of low automation level, large occupied area and high cost of the conventional silk-screen printing machine. The automatic line comprises a bottle feeding device, a conveying device, a full-automatic printing machine, a baking device, a bottle discharging device, a fan and a control device. The bottle feeding device pushes materials to a lengthened pin chain of the conveying device through a rubber gear and a pushing air cylinder. The conveying equipment adopts a single-chain design, and accurate conveying of materials is achieved through a second air cylinder and a second ratchet wheel; the baking equipment performs low-temperature drying by using an electric heating tube and heat-insulating asbestos; the bottle discharging equipment achieves automatic collection of materials through a bottle discharging baffle with a slope. The control equipment adopts a PLC (Programmable Logic Controller) and a touch screen, so that the printing speed and the baking temperature can be accurately controlled, and production parameters can be displayed in real time. The automatic line adopts pneumatic control, and is simple in structure, low in cost and high in production efficiency.

Brain activity can be monitored to facilitate a vision test in a virtual reality (VR) environment using an electronic device that includes a head-mounted display (HMD) and a plurality of electrodes. The electronic device can execute a user application configured to enable a virtual vision test, and generates a VR user interface corresponding to a three-dimensional (3D) virtual environment. The electronic device renders, on the HMD, a user interface including a first visual stimulus corresponding to the virtual vision test. While displaying the visual stimulus, in real time, the electronic device collects a plurality of electrical signals by the plurality of electrodes that contact a head of a user, and determines information of at least one of a second visual stimulus following the first visual stimulus and a user response to the first visual stimulus based on the plurality of electrical signals.

The invention discloses a shafting fault diagnosis method based on ship motor howling identification, and the method comprises the following steps: collecting a sound signal of a ship motor and multi-source monitoring data; preprocessing the sound signals to extract time-frequency characteristics of the sound signals; inputting the time-frequency characteristics into a pre-trained recognition model to obtain a judgment result of motor squeal; probability smoothing and threshold judgment are carried out on the judgment result, and when a set condition is met, shafting diagnosis is triggered; after the shafting diagnosis is triggered, performing data fusion on the multi-source monitoring data and the time-frequency characteristics, and judging and positioning a shafting fault based on a fusion result to obtain a diagnosis result; and displaying the diagnosis result on an intelligent monitoring platform in real time, and triggering graded alarm and remote uploading. The method and the system provided by the invention have the advantages of strong real-time performance, high anti-interference capability, reliable diagnosis result, low operation and maintenance cost and the like.

The invention discloses a pile foundation concrete accurate pouring control system and method based on multi-source sensing fusion. The pile foundation concrete accurate pouring control system comprises a sensing layer and a control layer, wherein the sensing layer comprises a phased array ultrasonic probe, a binocular vision sensor and a laser ranging array; the modeling layer comprises a three-dimensional hole shape reconstruction module and a BIM digital modeling engine; the data layer comprises a real-time monitoring database and a multi-source data fusion center; the decision-making layer comprises a concrete dynamic evaluation model and a BIM visual platform; the execution layer comprises a self-adaptive PID controller used for adjusting the concrete pumping rate according to the decision instruction, and a three-dimensional visualization terminal used for displaying the BIM model with the tolerance zone in real time. According to the method, a BIM model containing dynamic compensation is constructed through ultrasonic three-dimensional scanning, closed-loop control is achieved by fusing multi-source sensing data, and tolerance band penetration early warning and self-adaptive PID adjustment are combined. The hidden defect discovery rate is improved, and the comprehensive construction efficiency is improved.

The invention belongs to the technical field of wireless communication, and discloses a broadband and narrowband fused communication method and a terminal. Comprising the steps of collecting communication state parameters and performing data cleaning to obtain accurate communication state parameters; executing link switching verification based on the precise communication state parameters, and generating a switching evaluation label to mark the precise communication state parameters to obtain a switching mark parameter set; performing communication quality prediction, and constructing trend deviation characteristics based on a prediction result; carrying out heterogeneous synchronization confirmation based on the trend deviation characteristics and the switching evaluation labels, and outputting fusion consistent flag parameters; performing multi-terminal communication optimization based on the fusion consistent flag parameter, and outputting multi-terminal communication broadcast; in combination with multi-terminal communication broadcast, a link communication strategy is constructed by fusing the consistent mark parameter and the switching mark parameter set, and the link communication strategy is sent to a preset communication control terminal for communication and real-time display; the accuracy and stability of wide-narrow band converged communication are improved, and the multi-terminal cooperative scheduling capability is enhanced.

The invention relates to the field of data fusion, in particular to an RFID and Bluetooth fusion positioning method and system for material storage location navigation, and the method comprises the steps: obtaining the RFID tag information of a target material; according to the RFID tag information, querying a preset material storage area mapping relationship, and according to a query result, determining a target storage area where the target material is located and target shelf coordinates where the target material is located; generating a Bluetooth scanning instruction according to a determination result of the target reservoir area; broadcast signals from at least three Bluetooth beacons in the target reservoir area are received, and signal intensity parameters of the broadcast signals are analyzed; on the basis of the known position coordinates of the at least three Bluetooth beacons and the corresponding signal intensity parameters, the current accurate coordinates of the mobile terminal are calculated through a positioning algorithm; and generating and displaying a navigation path from the current position of the mobile terminal to the target shelf in real time according to the current accurate coordinate and the target shelf coordinate. And the optimal navigation path is dynamically generated and displayed on the digital map, so that intuitive visual guidance is provided for the user.

The invention provides an airborne task system comprehensive video display device and method, the system comprises a device main body, the device main body comprises a programmable logic device, a video processing unit, a cache memory and an internal bus; the programmable logic device is configured with a plurality of video interface drivers and data interface drivers and is used for receiving video streams and data streams from external equipment; the programmable logic device is configured to analyze a video stream and a data stream, extract image pixel information and sensor data, and cache the analyzed information to the cache memory; and the video processing unit is configured to read the information from the cache memory, perform fusion processing and video coding, generate a comprehensive display picture and output the comprehensive display picture to at least one display device. According to the comprehensive video display device provided by the invention, efficient processing and real-time display of multi-source airborne data are realized through a special hardware architecture, and the system compatibility and reliability are remarkably improved.

The invention discloses a test device for evaluating the multi-dimensional service life of a high-bearing-resistance supporting rod. The device comprises a cyclic load loading device which realizes accurate loading and measurement through a loading actuator cylinder, a counter-force support and a sensor; the guide rail control device is used for simulating an actual complex motion form by utilizing a guide rail, a sliding block and a joint bearing; the abrasion checking device achieves the function of simulating abrasion at the piston end and the fixed end in an actual complex motion form; the temperature control system is used for accurately controlling the environment temperature and the working temperature by virtue of a high and low temperature environment box and a hydraulic oil temperature machine; and the MTS structure test loading system is used for controlling oil inlet and outlet of a loading actuating cylinder and a resistance supporting rod and displaying sensor data in real time. According to the invention, multi-physics coupling conditions such as cyclic load, compound wear and high and low temperature environment can be simulated through tests, the wear resistance, sealing performance, fatigue performance and overall reliability of the resistance stay bar can be comprehensively evaluated, and effective technical support is provided for life prediction and reliability design of the resistance stay bar.

A memory driving method and an intelligent navigation and control system, relating to the technical field of intelligent driving. The method comprises: when entering a route learning mode, an intelligent driving controller constructs a memory driving map on the basis of road information (S201); when the route learning mode is ended, the intelligent driving controller stores the memory driving map, and on the basis of the road information of road segments in the memory driving map, generates mapping quality grades of the road segments (S202); the intelligent driving controller synchronizes route identifiers of the memory driving map and the mapping quality grades to a navigation system (S203); when entering a memory driving mode, the navigation system plays back a target memory driving map corresponding to a target route identifier, and displays the mapping quality grades of the road segments in real time (S204); and when the memory driving mode is ended, the intelligent driving controller updates the road information and the mapping quality grade of a traveled road segment, and synchronizes the route identifier and the mapping quality grade to the navigation system (S205). By using the memory driving method and the intelligent navigation and control system, the information transparency during human-machine co-driving can be improved, and the mapping quality is improved.

The invention discloses an EOS peak voltage detection device, and belongs to the technical field of circuits. The detection signal access module accesses a plurality of detection contact signals to the signal attenuation and protection module, the signal attenuation and protection module attenuates the voltage of the detection signals by a fixed multiple, and the peak voltage detection module captures the peak voltage of positive and negative pulses and converts the peak voltage into analog DC voltage. Detection results of the multiple paths of peak voltage detection modules are converged into the same voltage acquisition module, the voltage acquisition module carries out sampling conversion on the detection results, the EOS peak voltages of multiple detection contacts are detected at the same time, the data display and storage module displays the detection results in real time, and the position of a risk source is positioned and reported according to the detection results. According to the EOS peak voltage detection device, the number of detection contacts is not limited by the number of oscilloscope channels, online detection can be systematically carried out on a plurality of monitoring objects, the detection result is reported in real time, and an EOS risk source is rapidly identified.

A system for collecting and monitoring exposure data for an isolated worker confined to a work area in a in a hazardous materials environment includes a host computer and a display monitor located remotely from the hazardous materials environment; a first air monitor for monitoring levels of volatile organic compounds (VOCs) in ambient air outside the work area, the first air monitor being operably connected to the host computer to provide a display of the VOCs outside the work area in real-time on the display monitor; a second air monitor for monitoring levels of VOCs in ambient air inside the work area, the second monitor being operably connected to the host computer to provide a display of the VOCs inside the work area in real-time on the display monitor; and a gas sensor disposed inside the, the gas sensor being operably connected to the host computer to speciate the VOCs inside the work area into constituent chemicals and provide a display of the constituent chemicals in real-time on the display monitor.

The invention discloses a phased array radar digital beam forming system, and belongs to the technical field of radar signal processing, and the system comprises a radar central processing and dynamic scheduling subsystem which is used for carrying out the real-time dynamic scheduling control of all subsystems according to external environment parameters; the time sequence synchronous control subsystem is used for receiving a scheduling instruction of the central processing unit and generating a whole-system reference clock and a key time sequence signal; the data transmission and preprocessing subsystem is used for transmitting and preprocessing the data; the long and short pulse cooperative processing and target detection subsystem is used for receiving the preprocessed baseband data stream and executing pulse analysis and target extraction; and the target information extraction and real-time display control interface is used for uploading the processed data in real time and displaying target related information in real time. Through physical complementation of the long and short pulses and extension of the detection distance, full-distance continuous high-precision detection is realized, and through distance-direction dynamic fusion of the long and short pulse data, a distance fault of a traditional scheme is eliminated.

An image collection method and an image capturing device. The method comprises: obtaining first coverage density data of one or more first images based on captured first images of a target object to determine one or more re-shooting positions; rendering one or more shooting position suggestion marks corresponding to the one or more re-shooting positions in an image corresponding to a real space displayed in real-time by the image capturing device; and when a current position and a current viewing angle of the image capturing device match a target shooting position suggestion mark, automatically capturing a target second image corresponding to the target shooting position suggestion mark toward the target object. Thereby, the present disclosure provides a method that can effectively guide users to complete image collection required for 3D object modeling.

The invention discloses a Beidou-based unmanned aerial vehicle global course flight automatic control system and method, and belongs to the technical field of unmanned aerial vehicle flight control. The airborne end equipment integrates a main control processing unit, a Beidou RNSS positioning module, a Beidou RDSS communication module and a flight control protocol conversion middleware, and is responsible for acquiring the position and attitude information of the unmanned aerial vehicle in real time, packaging the information into a state monitoring message and returning the state monitoring message; and the ground monitoring platform receives the analysis message and displays the state of the unmanned aerial vehicle in real time. The core lies in that a track deviation model and a pure tracking control algorithm are built in the ground monitoring platform, the three-dimensional deviation between the unmanned aerial vehicle and a preset route is solved in real time through a mathematical method, and a control instruction is automatically generated and packaged into a Beidou control message to be issued; the airborne end device issues instructions such as return flight and course correction to the unmanned aerial vehicle flight control through the protocol conversion middleware, and a remote control closed loop is formed. According to the invention, geographical restrictions of traditional ADS-B and 5G technologies are overcome by using the Beidou short message, and reliable technical guarantee can be provided for global safe flight of the low-altitude unmanned aerial vehicle.

The invention provides a state monitoring system and method for a contact assembly of a transformer substation, and relates to the technical field of electrical variable measurement. The system comprises a multi-source data acquisition module used for synchronously acquiring multi-dimensional operation parameters of a contact assembly and performing integration based on a timestamp synchronization mechanism; the identification and weight dynamic configuration module is used for monitoring working condition data of the contact assembly in real time and judging the current working condition state of the contact assembly so as to obtain a dynamic weight coefficient of the current working condition state; the multi-parameter fusion evaluation module is used for normalizing the integrated multi-dimensional operation parameters and calculating a contact health state index by adopting a weighted fusion algorithm in combination with the dynamic weight coefficient of the current working condition state; and the state decision and early warning output module is used for judging the health state of the contact assembly according to the contact health state index and carrying out real-time display and early warning. According to the invention, comprehensive, accurate and adaptive sensing of the health state of the contact assembly can be realized.