2134 results about "Beacon" patented technology

The invention provides an HPLC (High Performance Liquid Chromatography) station area cooperative communication method based on clock synchronization, which comprises the following steps: step 1, multi-dimensional data acquisition and broadcasting: each concentrator periodically acquires clock precision, stability and reliability data, and sends a beacon frame containing a timestamp and a health degree score through a power line carrier broadcasting channel; step 2, dynamically calculating the index distinction degree by using an entropy weight method, adaptively allocating weights, and electing an optimal main CCO in real time; step 3, dual-mode PID cooperative control: the main CCO adopts a dual-mode switching strategy of a dynamic PID algorithm and a chaotic fractional order PID algorithm; 4, monitoring a synchronization state in real time by constructing a clock check network, and optimizing a fault isolation strategy in combination with weighted scoring to realize that the state switching time of the master node and the slave node is less than or equal to 50ms; cooperative communication is realized on the basis of completing synchronization of the concentrators CCO in the whole network. Redundant message transmission is reduced through a dynamic parameter resynchronization mechanism, and the utilization rate of network resources is optimized.

The invention relates to the technical field of communication, in particular to an airborne Tiantong phased-array antenna and an application method thereof. According to the method, phased-array antenna beams are driven to perform electronic scanning according to a geometric azimuth angle, beacon signal blind acquisition is performed in a preset airspace in a wide beam mode, and when an initial signal is detected, the mode is immediately switched to a narrow beam scanning mode; dynamically adjusting a phase weighting coefficient to realize pointing adjustment, so that a signal quality parameter is continuously converged in an optimal threshold interval; carrying aircraft maneuvering acceleration feedback is introduced, beam pointing offset is dynamically compensated based on a pre-constructed interference feature library, and signal fluctuation caused by a multipath effect is suppressed; and continuously checking a data validity flag bit of the main inertial navigation system, seamlessly switching to an antenna built-in inertial navigation data stream when a failure threshold is triggered, and activating a rapid recapture program to maintain zero interruption of a communication link. Through dual-source inertial navigation data fusion and intelligent beam control, rapid and accurate tracking of Tiantong satellites in an airborne environment is realized.

The invention belongs to the technical field of coupling alignment, and particularly relates to an intelligent auxiliary system for coupling alignment based on dual-laser displacement and an MEMS gyroscope, which adopts a mode of cooperative work of an active stable attitude measurement module and a space reference beacon module to establish a dynamic stable measurement basis which is not influenced by barring operation and environmental disturbance. The micro attitude change of the measuring device can be sensed and actively compensated in real time in the measuring process, it is ensured that laser displacement data at all angles are collected in the same absolute space coordinate system, and the high consistency and accuracy of multi-point measurement data are ensured. And then fusing the attitude feedback signal and the attitude reference signal by using an intelligent resolving module to generate an attitude control instruction, and processing displacement measurement data acquired by a double-laser displacement sensor after the attitude is stable to resolve a centering deviation parameter, thereby being beneficial to improving the efficiency, precision and automation level of coupling alignment work.

The invention discloses a power line carrier communication protocol data link layer simulation method, which comprises the following steps of: constructing a physical layer interface simulation module, simulating power line carrier or wireless air interface transmission through TCP socket communication, and creating a high-priority task process to process time slot-level time sequence synchronization for triggering a physical layer transceiving action at a specified time slot; configuring a time sequence synchronization control mechanism, obtaining a timestamp carried by a beacon frame sent by a concentrator, calling a clock synchronization function to align a site local clock with the timestamp when receiving the head of the beacon frame, adding delay compensation before sending data, and delaying and starting a physical layer receiving action to offset IP network transmission delay when receiving the data; a data frame processing flow is realized, a header callback function is controlled through a registration frame to respond to a physical layer state change, TCP message data is cached by using an annular queue, and a physical layer interface simulation module analyzes a message, distributes a memory and processes a load at a specified time slot after time sequence synchronization.

The embodiment of the invention provides an aircraft motion state determination method based on Lie group unscented Kalman filtering, and the method comprises the steps: building a state model of a target aircraft, and a measurement model of the target aircraft; obtaining a final Lie group state estimation value of the target aircraft through iterative calculation according to the state model and the measurement model; and determining the motion state of the target aircraft according to the final Lie group state estimation value. According to the technical scheme, a Lie group unscented Kalman filtering navigation framework based on external measurement information is provided, specific forms of sigma point error propagation on Lie algebra and state updating on the Lie group are given, and a self-adaptive updating method of a state noise covariance matrix and a measurement noise covariance matrix is designed. Therefore, the self-adaptive Lie group unscented Kalman filtering method is provided, and the multi-sensor multi-beacon target state estimation precision is greatly improved by means of the self-adaptive Lie group unscented Kalman filtering method.

The invention provides a transformer substation unmanned aerial vehicle three-dimensional route real-time planning and autonomous obstacle avoidance system, and relates to the technical field of non-electrical variable control or adjustment systems. Through cooperative work of a navigation mode switching module and a near-field navigation control module, an electric field of equipment is used as a natural navigation beacon; and high-precision autonomous flight is realized in a strong electromagnetic interference area with RTK signal failure, and the dependence on external positioning is eliminated, so that the inspection blind area is eliminated. Meanwhile, a fusion environment map containing multi-physics field information is constructed, the value of observation points is scientifically quantified according to waypoint inspection efficiency indexes, and a path planning algorithm aims at optimizing a comprehensive target fusing energy consumption, risks and inspection efficiency. The design not only ensures that the unmanned aerial vehicle can safely get close to the core equipment, but also enables the planned route to be the most valuable path rather than the shortest path, and finally fundamentally improves the safety, the operation efficiency and the data validity of substation inspection.

The invention relates to the technical field of submarine cable fault positioning, in particular to a submarine cable fault positioning system based on underwater beacons. The method comprises the steps that an underwater acoustic beacon array unit monitors and collects submarine cable fault sound wave signals in real time based on underwater acoustic beacons; the fault signal processing analysis unit extracts submarine cable fault sound wave signal parameters based on a non-point source space sound source waveform analysis model, and generates multi-parameter fault sound source feature vectors; the sound source positioning analysis algorithm unit performs three-dimensional inversion positioning based on the multi-parameter fault sound source feature vector and the arrival time difference of the submarine cable fault sound wave signal to the underwater acoustic beacon, and obtains the spatial position information of the submarine cable fault point; and the data communication alarm management unit sends the spatial position information of the submarine cable fault point to a shore-based operation and maintenance system. The submarine cable fault positioning method is used for realizing a submarine cable fault positioning technology for quickly and accurately positioning and identifying spatial extension characteristics in a complex submarine environment.

The invention relates to the technical field of wireless communication, and discloses a communication equipment command and dispatch system based on artificial intelligence, the system maps the state of communication equipment into a standardized carrier phase disturbance mode, and after the disturbance mode is adaptively adjusted in combination with channel noise perception and conflict arbitration logic, the communication equipment is commanded and dispatched. Controlling the radio frequency front end to carry out injection; the adjacent communication equipment directly detects the disturbance mode to trigger the cooperative scheduling action by monitoring the physical error signal of the carrier synchronization loop of the adjacent communication equipment, and the implicit cooperative mode based on the physical layer beacon is constructed, so that the complex high-level signaling interaction required by the traditional scheduling is avoided, and the scheduling efficiency is improved. According to the method, the millisecond level, determined by a software protocol, of the collaborative response time between the devices is substituted into the microsecond level determined by the hardware physical layer response entscheid, the system can still maintain reliable transmission of scheduling instructions when facing high-density concurrent conflicts and strong channel noise, and a technical implementation path is provided for ultra-low-delay and high-reliability communication.

The invention discloses a high-precision real-time positioning system and method for positioning personnel based on multi-mode fusion. The system comprises a multi-source data acquisition module, an intelligent data processing module, a fusion positioning model construction module and a positioning result application module, provides visual monitoring, trajectory analysis and scene customization functions, and supports flexible expansion through modular design. According to the method, satellite positioning, Bluetooth beacon and inertial navigation technologies are integrated, the weight is dynamically adjusted in combination with an adaptive weighted fusion algorithm, and a fusion positioning model supports outdoor (satellite dominant + EKF calibration, the precision being 2-5 meters) and indoor (beacon dominant + fingerprint matching, the precision being lt); according to the invention, intelligent switching between three modes (inertial navigation + ZUPT correction) and signal loss (1 meter) is realized, data noise is optimized by using Kalman filtering, and high-precision real-time positioning in indoor and outdoor complex scenes is realized. According to the invention, the problems of insufficient precision, poor environmental adaptability and weak expansibility of a single positioning technology are solved, and the comprehensive performance of the positioning system is significantly improved.

The invention provides an anti-interference sound signal data extraction method based on energy data perception, and belongs to the technical field of underwater sound signal processing, and the method comprises the steps: carrying out the A / D sampling and digital orthogonal demodulation of a received sound signal, and obtaining a baseband signal; performing low-pass filtering and downsampling on the baseband signal to obtain a preprocessed signal; performing matched filtering on the pre-processed signal by using a reference signal; the key improvement lies in that a local energy estimation function of a preprocessed signal is calculated, and normalization processing is carried out on a matched filtering result and the energy estimation function to obtain a normalized detection signal. The method effectively suppresses the shielding effect of a strong interference signal on a weak target signal under a non-orthogonal reference signal and a strong near-end and weak far-end scene, remarkably reduces the misrecognition probability, and improves the accuracy and reliability of the extraction of a long-distance and low-signal-to-noise-ratio target beacon signal in a complex underwater acoustic environment. The method is suitable for underwater navigation, positioning and communication systems.

The invention discloses a wireless optical communication alignment system and a capture alignment method thereof, and relates to the technical field of optical communication, and the method comprises the steps: a three-dimensional holder carries out the coarse alignment of an optical path between a transmitting end and a receiving end according to the direction of beacon light; an alignment device located at the top of the three-dimensional holder carries out fine alignment on the light path; the alignment device comprises a two-dimensional alignment structure, a control circuit and a device shell. The control circuit captures a light intensity feedback value of the light intensity sensor of the two-dimensional alignment structure, and adjusts an azimuth angle and a pitch angle of the optical fiber collimator of the two-dimensional alignment structure according to the light intensity feedback value so as to adjust lens orientations of the transmitting end and the receiving end; the device shell provides a supporting platform for the two-dimensional alignment structure and the control circuit and is connected with the three-dimensional holder. Coarse alignment and fine alignment are combined, accurate angle adjustment is achieved through light intensity feedback, efficient alignment of light paths of the transmitting end and the receiving end is ensured, meanwhile, the device shell provides stable support and connection, and the stability and reliability of the alignment process are guaranteed.

A non-AP MLD operates in an EML mode that applies in a set of EML links. The non-AP MLD receives, by a first affiliated station, a first beacon frame over a first link of the EML links, the first beacon frame including a TBTT related to a second beacon frame. Moreover, the non-AP MLD configures the first affiliated station to be in a receiving state at the TBTT to receive the second beacon frame.

The invention relates to the technical field of Internet of Things communication, in particular to an Internet of Things intelligent water meter ad hoc network communication method based on parameter dynamic evaluation, which comprises the following steps: acquiring a state beacon packet; calculating a comprehensive score of each neighbor node according to the NB-IoT signal quality parameter, the Bluetooth link quality parameter, the remaining power percentage and the historical relay task times; judging whether the comprehensive score exceeds a threshold value or not according to the comprehensive score, if the comprehensive score exceeds a first threshold value, selecting a target node, establishing Bluetooth GATT connection, transmitting the water meter data to the target node, uploading the water meter data to a cloud server in batches in a preset low-power-consumption time window, and if the comprehensive score is lower than the first threshold value but higher than a second threshold value, transmitting the water meter data to the cloud server; and if so, starting a limited flooding broadcast mechanism. Therefore, the problems that in the prior art, power consumption is high, replacement cost is high, operation and maintenance are inconvenient, cost is increased by depending on a fixed relay, no load balance exists, and manpower is increased by on-site reading are solved.

The invention relates to the technical field of computer networks, in particular to a bamboo-based composite material environment monitoring unmanned aerial vehicle and a networking method thereof, and the method comprises the following steps: each unmanned aerial vehicle obtains a residual electric quantity value and a three-dimensional coordinate position, actively broadcasts an identity beacon to the surrounding, and simultaneously monitors beacon signals from other unmanned aerial vehicles; for each received beacon signal, a transmitting node identity is extracted and a received signal power value is recorded, and an average signal strength indication value is calculated by continuously receiving a plurality of signal samples. According to the invention, the unmanned aerial vehicle actively broadcasts identity beacons and monitors surrounding beacon signals, masters neighbor node positions, energy levels and communication quality, and further completes comprehensive evaluation of initial network topology and node states; based on intelligent analysis of environmental data, pollution diffusion boundary data with high information value are distinguished, important information is ensured to be transmitted preferentially, and energy consumption of nodes is effectively balanced by calculating the relationship between the information value and energy consumption.

The invention relates to the technical field of underwater navigation and positioning, and particularly discloses a wide-area very-low-frequency radio navigation and underwater sound combined underwater navigation and positioning method, which comprises the following steps that: a very-low-frequency navigation transmitting station transmits a very-low-frequency radio navigation time service signal; the semi-submersible acoustic beacon receives a very-low-frequency radio navigation time service signal; performing position calibration and time synchronization; the semi-submersible acoustic beacon emits an underwater acoustic navigation signal, and the underwater carrier calculates the three-dimensional coordinates of the underwater carrier according to the received underwater acoustic navigation signal. According to the invention, a shore-based very-low-frequency radio navigation and underwater sound combined navigation mode is adopted, and a very-low-frequency radio navigation time service signal has a certain underwater entry depth, so that the problem of time synchronization between semi-submersible acoustic beacons is solved, and auxiliary calibration of the positions of the semi-submersible acoustic beacons is provided; the semi-submersible acoustic beacon emits an underwater navigation signal to realize navigation and positioning of a deepwater underwater carrier, and reliable navigation service with wide area coverage, high precision and low power consumption is provided for the underwater carrier.

The invention discloses a data transmission system and method of an unmanned aerial vehicle, and belongs to the field of unmanned aerial vehicles. The system comprises an unmanned aerial vehicle, an unmanned aerial vehicle hangar and a vehicle, the unmanned aerial vehicle hangar is located outside the vehicle, and a beacon plate with a communication function is arranged in the unmanned aerial vehicle hangar; the unmanned aerial vehicle is used for collecting first data and sending the first data to the beacon plate based on the first data transmission parameter; and the beacon board is used for receiving the first data and sending the first data to a central control platform of the vehicle based on the second data transmission parameter. The unmanned aerial vehicle hangar is deployed outside the vehicle, the beacon plate with the communication function is arranged in the unmanned aerial vehicle hangar, the beacon plate is used for receiving the first data collected by the unmanned aerial vehicle, shielding interference of a vehicle body metal structure on wireless signals is avoided, and it is guaranteed that the first data can be stably transmitted to the beacon plate; the first and second data transmission parameters are set based on different transmission stages, the transmission strategy is flexibly adjusted, and the integrity and transmission efficiency of data transmission are improved.

The invention relates to the technical field of beacon light control, in particular to a beacon light anti-interference control method and system based on environmental perception and dynamic modulation. The method comprises the following steps: extracting an ambient light reference based on adaptive weight sliding filtering; in combination with target detection and trajectory prediction, interference pre-judgment features are obtained; on the basis of an evidence theory, analyzing comprehensive interference evaluation characteristics through the ambient light reference, the interference pre-judgment characteristics and the electromagnetic interference characteristics; fusing meteorological environment perception and influence features and self health state features, and evaluating equipment operation risks; and based on modulation signal optimization characteristics, the comprehensive interference evaluation characteristics and the equipment operation risk, fuzzy control and rule reasoning are utilized to realize dynamic output of anti-interference control parameters. In order to solve the problem that the signal recognition rate is reduced due to the fact that a beacon light is easily affected by multiple factors in a complex ocean navigation channel environment, data are obtained through multi-dimensional environment perception, and dynamic modulation control is achieved after feature extraction and fusion.

The invention relates to the technical field of unmanned aerial vehicle cooperative surveying and mapping, and discloses an unmanned aerial vehicle cluster cooperative space-space-ground integrated surveying and mapping system which comprises a space-time reference construction module, a multi-source data acquisition module, a distributed fusion optimization module, a system adaptive reconstruction module and a four-dimensional model generation module. An internal high-precision space-time reference independent of the GNSS is constructed; uniformly modeling the whole surveying and mapping task into a space-time factor graph through a distributed fusion optimization module, and solving the space-time factor graph; and closed-loop adaptive adjustment is performed on the geometric configuration of the beacon network and the measurement data quality through a system adaptive reconstruction module. The technical problem that a traditional surveying and mapping system is poor in precision and reliability in a GNSS disturbed environment is solved, the robustness, autonomy and environment adaptability of the system are remarkably improved by constructing a self-consistent internal reference and introducing intelligent feedback control, and a globally consistent high-precision four-dimensional space-time model can be efficiently generated.

The invention belongs to the technical field of unmanned aerial vehicles, and particularly relates to an intelligent aerial 3D printing and spraying system and method based on an unmanned aerial vehicle cluster, and the system comprises a spatial three-dimensional laser ranging scanning modeling module for generating a real-size scene model, a three-dimensional positioning network module, and a three-dimensional positioning network composed of a plurality of laser radar arrays. Wherein the laser radar or the wireless positioning beacon array is arranged on a working plane to construct a three-dimensional space coordinate reference system; the printing module is integrated on the unmanned aerial vehicle, compared with traditional high-altitude operation, the construction efficiency is improved, the constraint of tedious procedures such as scaffold building and manual high-altitude operation is thoroughly eliminated, the unmanned aerial vehicle cluster can be rapidly deployed in a short time, and operation tasks such as large-area single-color or full-color spraying, repairing, modeling and printing are efficiently completed with high precision; the project construction period is greatly shortened, the comprehensive construction cost is reduced, the safety construction level is improved, the engineering income is improved, and the construction accident risk is reduced.

The invention relates to the technical field of rail transit automatic driving, and particularly discloses a rail transit train automatic driving control method, which is characterized in that a vehicle-mounted control center cooperates with a signal system, a traction unit and a braking system, and centimeter-level real-time positioning is realized by adopting extended Kalman filtering and fusing satellite positioning, an odometer and trackside beacon data; the parking precision of the platform is controlled based on a graded braking strategy (coasting-common-precise braking) and pulse type terminal point fine adjustment; the method dynamically adapts to line condition changes in combination with feedforward-feedback composite speed control, and establishes a multi-level safety monitoring network (obstacle detection / overspeed protection / vehicle door linkage) to realize full-process closed-loop control, and finally, high-precision, high-safety and high-coordination operation under unmanned driving is achieved.

The invention relates to the technical field of terminal communication, and provides a team state synchronization method based on ad hoc network communication, an intelligent terminal and a medium, after a plurality of intelligent terminals complete team networking, a first intelligent terminal elected as a team master device broadcasts a synchronization beacon frame, enabling the second intelligent terminal to enter a corresponding working state after receiving the synchronous beacon frame; predicting whether the bit error rate in a future short time is increased or not based on the channel impulse response fed back by the second intelligent terminal and the real-time position coordinates; when the predicted bit error rate is increased, forward error correction coding redundancy is increased in a pre-sent light effect instruction, and a target light effect instruction is obtained; and the target lighting effect instruction is sent to the second intelligent terminal, so that the second intelligent terminal controls the partition lamp group to output the corresponding lighting effect according to the received target lighting effect instruction, and visual synchronization of the team state is realized. According to the method, the accuracy of light effect instruction transmission can be guaranteed, and efficient visual synchronization of the team state is realized.

The invention discloses a formation riding danger information sharing method and system for intelligent riding helmets, and relates to the technical field of information sharing, and the method comprises the steps: carrying out the deep fusion of the adjacent beacons of all intelligent helmets, the state information of a vehicle, and the multi-source heterogeneous data of an external sensor, vehicle-road cooperation and the like; and constructing and dynamically maintaining a topological graph reflecting the space-time relationship among the formation members in real time. On the basis, intelligent source end propagation strategy decision is carried out on perceived semantic danger information, and topology-based directional relay and propagation are carried out. And finally, the decided propagable information is combined with the state of the rider, so that a highly personalized early warning instruction is generated. In this way, undifferentiated global information broadcast can be effectively converted into accurate risk announcement based on individual context, and the efficiency of dangerous information sharing in formation riding and the cooperative safety capability of the whole system are remarkably improved.

A method and system of providing guidance and information to an end-user during an emergency situation. A network of beacon devices is arranged throughout different rooms of a physical structure, such as a house. When an emergency situation such as a fire is detected, for example via data collected from one or more smart sensors installed in the house, a navigation server can activate the beacon device network. Each beacon device will begin to provide navigation cues such as audio content and / or light display that guide the end-user to the nearest designated exit.

The invention relates to the technical field of wind power generation, in particular to a wind turbine generator deformation vibration monitoring device based on millimeter wave radar. The core function module comprises a benchmark sensing radar, a blade monitoring radar, a reference beacon, an inertial measurement unit, a data synchronization and acquisition unit and a signal processing unit; a reference beacon fixed on a substrate is detected through a reference sensing radar, an absolute motion vector A of the reference sensing radar is solved, then the absolute motion vector A is converted into an absolute motion vector B of a blade monitoring radar, then data C measured by an IMU (Inertial Measurement Unit) is converted into data D of the blade monitoring radar in a coordinate system of the blade monitoring radar, and the blade monitoring radar can be used for monitoring the blade. The absolute motion vector E of the blade monitoring radar is fused and extracted through an extended Kalman filter, and is finally used for compensating original data of blade measurement by the blade monitoring radar, so that the influence of cabin motion on deformation vibration monitoring is eliminated.

The invention relates to the technical field of Bluetooth positioning, and discloses a Bluetooth positioning method and system based on multi-beacon RSSI weighted optimization, and the method comprises the steps: sequentially switching and scanning a broadcast signal of a target Bluetooth tag through a plurality of Bluetooth beacons disposed at a fixed position, so as to obtain a plurality of groups of RSSI measurement values from different directions; performing filtering processing on the multiple groups of RSSI measurement values to suppress signal fluctuation; calculating the weight of each beacon based on the filtered RSSI value, and constructing a weighted least square positioning model; and solving the coordinate position of the target Bluetooth tag by using a weighted least square positioning model. According to the invention, through adoption of a multi-beacon rapid switching acquisition and RSSI weighted optimization mechanism, signal quality differences of different beacons can be effectively distinguished, and dynamic weight descending processing is carried out on measurement values which are seriously interfered by a multipath effect and shielding, so that the positioning precision and stability in a complex indoor environment are remarkably improved.

The invention discloses an oil and gas field three-dimensional visualization system based on digital twinning, and relates to the technical field of digital twinning, and the system comprises the following steps: S1, integrating GIS, BIM, IoT and GD multi-source data, and constructing a unified ground object entity data set; s2, carrying out sensor, camera and positioning beacon data fusion by using the ground object entity data set; s3, carrying out business system data integration and three-dimensional scene modeling by using the ground object dynamic state calibration set; s4, performing multifunctional application system development by using the three-dimensional scene business linkage model; s5, realizing efficient cloud management and redundant backup in combination with a SpringBoot distributed architecture; by setting a ground object dynamic state calibration model, a service system linkage model and a three-dimensional entity management model, multi-dimensional fusion modeling can be performed on geometric features, state parameters and service features of all ground objects in an oil and gas field, and the real-time performance and service adaptation capability of a three-dimensional visualization system are remarkably improved.

The invention discloses an aircraft precise landing system and method based on multi-source heterogeneous data fusion. The system integrates a GNSS module, a multispectral visual sensor and an omnidirectional laser radar, and realizes high-precision landing through a layered guide strategy: a three-dimensional landing corridor is constructed based on GNSS global positioning in a high-altitude stage, poses are corrected by visual recognition Apriltag codes in middle and low altitudes, and a tail end switches infrared beacons to guide and fuse height measurement data of the laser radar. A dynamic emergency mechanism is adopted, and path backtracking and laser obstacle avoidance emergency landing are triggered when signals are lost. According to the technology, the accuracy and the safety of the aircraft in the landing stage are remarkably improved, the risk and the uncertainty are reduced, and the leading position and the practical value in the aviation field are shown.

The invention provides a dynamic attitude information acquisition method, device and equipment in a man-machine operation environment, and a storage medium. The method comprises the following steps: acquiring a beacon position set in the man-machine operation environment through a radar; wherein the beacons are respectively attached to a wearing glove and a tool operation part which are used in a man-machine operation environment; and performing calculation processing on the obtained beacon position to obtain an operation track and an operation attitude of the tool operation part. In the invention, the beacon position of each beacon on the wearing glove reflects the standard hand posture in the operation process, and the beacon position of each beacon on the operation tool reflects the operation posture of the tool in the operation process, so that the operation posture of the tool in the operation process can be accurately determined only by comprehensively analyzing the beacon position of each beacon on the wearing glove and the beacon position of each beacon on the operation tool. And the combined operation posture of the hand and the operation tool in the standard operation work can be accurately reflected, so that the accuracy of operation data acquisition is improved.

A first ECU and a plurality of second ECUs are connected to a communication bus. The first ECU repeatedly transmits a beacon signal through the communication bus. Each of the first ECU and the plurality of second ECUs transmits data according to an order set in advance when the beacon signal is transmitted. The first ECU or the second ECU transmits dummy data whose transmission destination is different from the remaining ECUs when there is no transmission data to be transmitted to one of the remaining ECUs other than itself.

The invention provides an AIS beacon guided SAR satellite imaging method fused with a Beidou short message. The method comprises the following steps: receiving a target imaging instruction; analyzing the acquired AIS beacon signal of each ship, and extracting ship characteristic attribute information and state information of each ship; matching the ship characteristic attribute information of each ship with the target identification information, and screening out at least one target ship; based on the state information and orbit parameters of the satellite, selecting at least one target to be imaged from the at least one target ship, and generating imaging task parameters; controlling an SAR load to execute imaging operation on a corresponding area of the at least one to-be-imaged target, and generating original SAR imaging data; and the data are transmitted back to a ground terminal according to the priority level through a dual-channel transceiving channel, so that the dynamic response capability of a satellite is improved, the reliability of a data transmission link is enhanced, and the real-time performance of emergency imaging data is improved.