1259 results about "Beacon" patented technology

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.

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 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 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.

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 relates to the technical field of communication, and discloses an access point, terminal equipment and a short-distance communication time synchronization method and system.The access point equipment and the terminal equipment each comprise a baseband signal processing unit, a radio frequency unit, an antenna, a global time counter and a clock compensation module. The time synchronization method is executed by a target terminal: receiving a beacon frame broadcasted and sent by an access point; calibration information is embedded in the beacon frame, and the calibration information comprises timestamp information and a transmitting power parameter; calculating actual propagation delay of the access point and the target terminal based on the timestamp information; calculating target propagation delay of the access point and the target terminal based on the transmitting power parameter; calculating a delay error between the actual propagation delay and the target propagation delay; and calibrating the clock skew of the target terminal based on the delay error. The time, frequency and link calibration of the access point and the target terminal can be completed by using the one-way time broadcast, and the calibration precision is high.

The invention discloses an intelligent strip mine slope rock mass monitoring method based on multi-source sensor fusion, and relates to the technical field of mine engineering safety monitoring, and the method comprises the following steps: laying a reference beacon and an asynchronous sampling array in a strip mine slope area, constructing a cross-scale time-frequency observation layer, obtaining ground surface high-frequency vibration data caused by a heavy mine car, and carrying out real-time monitoring on the ground surface high-frequency vibration data; and establishing a vibration fingerprint baseline, and calibrating the inherent frequency neighborhood of the slope rock mass. According to the method, coupling sensing is realized by constructing vibration fingerprints and inherent frequency neighborhoods, coherent decomposition and shadow sequence reconstruction are combined to decouple data, risk boundaries are established and time correction optimization is carried out, weight dynamic adjustment is fused to extract real deformation response, and finally false signals are suppressed by using a phonon structure and inverse phase micro-pulses. And precise monitoring and dynamic regulation and control of the slope state are realized.

The invention belongs to the technical field of water traffic transportation safety and navigation mark navigation aiding, and mainly relates to a navigation mark anti-collision early warning method based on multi-sensor fusion, and the method comprises the steps: constructing a multi-sensor fusion architecture integrating an AIS terminal, a laser radar and an AI camera, and achieving the omnibearing monitoring and precise recognition of a ship in a navigation channel; a grading response mechanism is adopted, corresponding functions are dynamically started according to the real-time distance between the ship and the navigation mark, and targeted response from early warning to emergency warning is achieved; a legal evidence chain packaging mechanism is introduced, a unique ID is generated for each early warning event, formatted evidence is stored in an associated mode, and integrity and traceability of data are ensured; through a dynamic energy supply strategy, an equipment operation mode is intelligently adjusted according to a storage battery voltage threshold value, and continuous and stable work of the system under the conditions of cloudy and rainy days, night and the like is guaranteed; according to the invention, the accuracy, timeliness and reliability of navigation mark collision early warning information are effectively improved.

A system that improves beacon discovery by enabling a device to determine a dynamic threshold and connect to a gateway that satisfies the dynamic threshold. For example, the device may iteratively scan through available channels for a first duration of time, detecting beacon signals and storing corresponding signal strengths, then calculate a dynamic threshold value using the stored information. In some examples, the dynamic threshold value is calculated using a sum and counter implementation, with the counter incrementing with each beacon signal detected and a summing component adding the signal strength. Additionally or alternatively, the device may switch between performing first beacon discovery using a static threshold and performing second beacon discovery using a dynamic threshold. For example, the device may perform the first beacon discovery when movement of the device exceeds a threshold, while performing the second beacon discovery when movement of the device is below the threshold.

The invention relates to the technical field of rail transit, and discloses a system for reducing self-interference between APs in a rail transit vehicle depot, which comprises trackside APs, vehicle depot APs and a vehicle-mounted MR. The trackside APs are deployed on a rail traffic line, a same-frequency networking mode is adopted, 2.4 G frequency bands of all the trackside APs use the same channel, and 5G frequency bands of all the trackside APs use the same channel. According to the system for reducing the self-interference between the APs in the rail transit vehicle depot, AP position marks are additionally arranged in Beacon frames and Probe Response frames of the rail-side APs and the vehicle depot APs, and scanning frequency point lists and dynamic switching logics corresponding to different areas are preset in a vehicle-mounted MR, so that the vehicle-mounted MR can intelligently sense the network area where a train is located, and the self-interference between the APs in the rail transit vehicle depot is reduced. The problems of scanning strategy and environment adaptation and access performance and interference in a vehicle depot are solved.

The invention discloses an indoor positioning method based on a Bluetooth RSSI (Received Signal Strength Indicator), which comprises the following steps: after a positioning tag receives RSSI data broadcasted by Bluetooth beacons, screening the beacon with the strongest signal and calculating the distance; current data is directly adopted in first positioning, and translation processing is performed in combination with historical positions in non-first positioning so as to smooth a result. And mapping the position points to path points through a road network matching algorithm, preliminarily positioning the path points based on shortest path planning, and outputting a final positioning result through a filtering rule. According to the invention, the problem of positioning fluttering caused by fluttering of the Bluetooth RSSI signal, the problem of back-and-forth jumping of actual positioning caused by instability of the Bluetooth RSSI signal and the problem of signal abnormity caused by signal interference caused by metal, a wall body or a human body are effectively solved.

The invention discloses a scheduling method supporting TDMA and CSMA / CA hybrid access, comprising the following steps: periodically broadcasting a beacon frame, the beacon frame being used for defining the structure of a superframe; wherein the superframe is divided into a TDMA period and a CSMA / CA period in time, and a time boundary between the TDMA period and the CSMA / CA period is dynamically adjustable; the TDMA period comprises one or more special time slots distributed to specific network equipment and is used for deterministic data transmission; the CSMA / CA period is a shared channel access period, and the network device competes for access through a CSMA / CA mechanism and is used for flexible data transmission. By dynamically adjusting the time boundary of the TDMA and CSMA / CA periods, the dynamic fusion of deterministic transmission and flexible transmission is realized, the dynamic fusion of deterministic transmission and flexible transmission is realized, the utilization rate of network resources is improved, and the dual service requirements in an industrial wireless network are met.

The invention discloses a method, a system, equipment and a medium for improving reliability of high-frequency data acquisition in a multi-element load scene, and relates to the technical field of power system communication and data acquisition, comprising the following steps: broadcasting beacons to a station area and receiving terminal response, constructing dynamic network topology and channel state information, executing dynamic channel allocation based on the received information, and sending the dynamic network topology and channel state information to the station area. The method comprises the following steps: acquiring minute-level data packets, performing fragment coding on the acquired minute-level data packets, selecting an optimal path for each terminal for transmission in combination with a network state, collecting fragments at a receiving side, checking integrity, decoding and restoring when conditions are met, and otherwise, starting a local retransmission mechanism until the data packets are successfully recovered. According to the method, the reliability guarantee system is constructed by dynamically sensing the network state, cooperatively optimizing channel allocation and transmission paths and combining fountain code coding and a precise retransmission mechanism, and the success rate and the integrity of high-frequency data acquisition are remarkably improved in a multi-element load scene.

A method performed by a wireless device operating as an access point in a wireless network to allocate a restricted access window (RAW) for wake-up receiver stations. The method includes generating a beacon frame, wherein the beacon frame includes information regarding a RAW that is allocated for one or more wake-up receiver stations, wherein each of the one or more wake-up receiver stations includes a main radio and a wake-up receiver and wirelessly transmitting the beacon frame.

The invention relates to a navigation mark type and health state detection method based on improved YOLOv9, and belongs to the technical field of computer vision and navigation mark inspection. According to the method, in order to solve the problem of insufficient navigation mark data sets, a shape-damaged navigation mark data set is generated by using a CGAN technology, a navigation mark data set containing stains is generated through expansion by using a Canny algorithm, and a skew navigation mark data set is increased by using an affine transformation algorithm; in addition, traditional data enhancement methods such as geometric transformation and image splicing are introduced to simulate the imaging effects of the navigation mark at various angles and positions, so that the diversity of the image is improved. And the improved YOLOv9 model is utilized to improve the recognition accuracy of the small-size navigation mark. According to the method, the high-efficiency performance is maintained, meanwhile, the detection capability on fine and complex features is greatly improved, and accurate recognition on the navigation mark under different conditions is ensured.

The invention discloses an ad hoc network system and method based on TDMA, and relates to the technical field of wireless communication. The system comprises a master node and a plurality of slave nodes which are respectively provided with a high-precision timing counter. A system defines a superframe structure containing time slots, a master node broadcasts access information, and slave nodes monitor access and allocate the time slots. A node broadcasts a beacon frame with a local timestamp in a sending time slot of the node, and calibrates a clock of the node when receiving a beacon of the node, so that distributed time synchronization is realized. When a node sends data, the sending time slot is ended in advance under the condition of distance so as to avoid crosstalk between the time slots. The system also defines a frequency sweeping time slot, and self-adaptive channel frequency hopping is realized through centralized decision of the main node so as to resist interference; and a dynamic time slot allocation mechanism is adopted, standby time slots are applied and released as required, and the resource utilization rate is improved. According to the invention, the problems of low synchronization precision, poor interference resistance, resource allocation rigidity, time delay influence and the like of the traditional TDMA ad hoc network are solved, and high-reliability and high-efficiency multi-hop ad hoc network communication is realized.

A monorail hoist positioning method combining rail joint beacons and inertial navigation. An odometry kinematic model for a monorail hoist is established by means of an encoder on the monorail hoist, and an extended Kalman filter is used to fuse a heading angle obtained from a kinematic model solution and a heading angle obtained from a strapdown inertial navigation solution. Beacons are arranged at rail joints for the monorail hoist, and vibration signals are acquired by a vibration sensor. By combining a strapdown inertial navigation system, the encoder, and a rail installation diagram, a rail joint determination model is constructed to perform filtering, so as to obtain impact signals at rail joint beacons that meet a requirement. Beacon identifiers are used to match the identified rail joint beacons against specific beacon coordinates in the rail installation diagram, so as to obtain a time-position coordinate sequence for the monorail hoist arriving at the rail joints. A combined positioning model integrating rail joint beacons and strapdown inertial navigation is constructed to realize integration of local relative positioning and global absolute positioning of the monorail hoist. The method can improve the positioning accuracy of the monorail hoist while reducing positioning costs.

An attachment management system includes a work vehicle, an attachment detachably coupled to the work vehicle including a vehicle controller, and a communication tag fixed to the attachment. The communication tag includes a tag transceiver, and a tag memory to store a tag identifier unique to the communication tag and attachment information unique to the attachment, to which the communication tag is fixed. The vehicle controller is configured or programmed to control the vehicle storage to store a new piece of combined information including the tag identifier and attachment information linked thereto in the beacon signal, unless both of the tag identifier and attachment information in the beacon signal match with the tag identifier and attachment information stored in the vehicle storage, and perform a predetermined operation based on attachment information of the new piece of combined information.

The invention relates to an indoor target positioning method and system based on machine vision and deep learning, and belongs to the technical field of target positioning. The method comprises the following steps: acquiring positioning data transmitted by a plurality of long-distance radio beacons deployed indoors in real time, and anchoring the positioning data to an indoor three-dimensional coordinate grid model node to obtain a global space reference framework; a real-time video image is obtained and preprocessed, and an LW-DETR algorithm is adopted to detect initial position information and size information of a target on an image plane; calculating a distance and an azimuth angle between a target and each beacon by combining beacon signal characteristics to obtain spatial position associated data; performing spatial registration and fusion on the multi-source data in combination with a global spatial reference frame to obtain target position information; and tracking and predicting the motion trail and speed information of the target, and integrating to obtain the final predicted position of the target. According to the method, the hardware collaborative dependence can be reduced, the anti-interference capability in an extreme environment is enhanced, and the indoor target positioning stability and precision are remarkably improved.

To specify the position of a movable body even in a situation where it is difficult to specify the position based on the received radio wave intensity of a beacon signal.SOLUTION: The method includes generating reception data including an area ID of an area in which a receiver is disposed, a received radio wave intensity of a beacon signal, and a reception time; performing image analysis on image data of an imaged area to detect the presence or absence of a movable body in the imaged area, and identifying a movable body ID of the movable body when the movable body is detected; generating image analysis data including the area ID of the area, the presence or absence of the movable body, the movable body ID of the movable body when the movable body is present, and the imaged time; and determining the presence or absence of the movable body using the received radio wave intensity and specifying the presence area based on the strength of the received radio wave intensity when the presence area can be specified, and specifying the presence area based on the image analysis data when the presence area cannot be specified.SELECTED DRAWING: Figure 8

A communication method and apparatus, an electronic device, and a storage medium. The communication method is applied to a non-access point multi-link device (Non-AP MLD). The method comprises: monitoring that a beacon frame sent by an access point multi-link device (AP MLD) comprises an added affiliated AP, and obtaining parameter information of the added affiliated AP; and carrying the parameter information in a target radio frame, and sending the target radio frame, wherein the target radio frame instructs to re-establish a connection with the AP MLD. Provided is a method for associating a Non-AP MLD to an added affiliated AP.

A first access point (AP) transmits to a second AP a first frame requesting first restricted target wake time (R-TWT) information of the second AP based on not receiving a beacon frame of the second AP within a first period from a target beacon transmission time (TBTT) of the second AP. The first AP receives from the second AP a second frame comprising the first R-TWT information of the second AP in response to the first frame.

Disclosed is a method for transmitting a frame of a wireless communication system. A non-AP STA receives a beacon frame comprising a request type field from an AP and can receive a downlink frame or transmit an uplink frame in accordance with a specific field value included in the beacon frame. Here, the request type field comprises a specific field for indicating a target wake time (TWT) for a low latency operation, and, if the value of the specific field is set as a first specific value, a broadcast TWT service period (SP) is a TWT SP for the low latency operation.

A synchronized wireless network includes a root coordinator and any number of other coordinators that are synchronized with the root coordinator, e.g., according to a communication schedule established by the root coordinator and transmitted to the other coordinators in one or more beacons. The other coordinators coordinate operations of individual area networks by establishing communication schedules for the respective area networks, and transmitting beacons including such other schedules to any number of nodes of such networks. Upon detecting a loss of connectivity with the root coordinator, coordinators or nodes of area networks monitor channels and timeslots for beacons transmitted by other coordinators of the synchronized wireless network, and elect one of their own to serve as a root coordinator, or select one of the other coordinators for synchronization, based on contents of such beacons.

The invention relates to the field of unmanned aerial vehicles, in particular to an unmanned aerial vehicle autonomous fixed-point landing control method based on an ultrasonic array algorithm, and the method comprises the steps: dividing the landing process of an unmanned aerial vehicle into a normal flight stage, a deceleration approaching stage and a near-ground landing stage, starting an ultrasonic beacon array in the approaching flight stage, and confirming the availability of a landing point; a horizontal azimuth angle, a yaw angle and a relative distance are calculated in real time in a deceleration approach stage to perform landing guidance, direct waves and multi-path reflection signals are analyzed in a near-earth landing stage, characteristic parameters such as time delay inequality and phase offset are extracted, an environment reflection space model is reversely constructed, then positioning correction is calculated, a pose fine adjustment instruction is generated, and the attitude fine adjustment instruction is subjected to attitude fine adjustment. And precise fixed-point landing of the unmanned aerial vehicle is realized. According to the method, high-precision positioning is kept under complex environment disturbance, and the stability, accuracy and efficiency of fixed-point landing of the unmanned aerial vehicle in a complex environment are improved by converting the multipath effect from an interference source to available positioning information.

The invention provides an intelligent monitoring and early warning system based on a marine navigation mark, and relates to the technical field of monitoring and early warning, and the system comprises a navigation mark data collection module which is used for obtaining various data according to a preset navigation mark monitoring interval. And the risk assessment module is used for obtaining a position offset risk value according to the influence of the interference factor data on the navigation mark position. And the deviation early warning module is used for setting a position deviation threshold value according to the historical pose data in combination with the external factor data, judging whether the position deviation risk value of each navigation mark exceeds the position deviation threshold value or not, and generating a preliminary early warning signal if the position deviation risk value of each navigation mark exceeds the position deviation threshold value. And the ship influence early warning module is used for calculating a ship navigation influence coefficient according to the navigation data of the surrounding ship sending the preliminary early warning signal navigation mark in combination with the real-time position parameter, and generating early warning information in combination with the position offset risk value. The navigation mark monitoring precision is improved, the early warning timeliness is enhanced, the operation and maintenance cost is reduced, and the method can automatically adapt to different environments and scenes.

The invention provides an ultra-short baseline calibration method, device and system, and belongs to the technical field of underwater acoustic measurement, and the ultra-short baseline calibration method comprises the following steps: according to an antenna phase center position, a carrier instantaneous attitude, a distance and azimuth information at each observation moment, and installation parameters of an ultra-short baseline acoustic transducer relative to an inertial navigation system, carrying out calibration on the ultra-short baseline; establishing a distance equation between the ultra-short baseline acoustic transducer and the ultra-short baseline acoustic beacon at each observation moment; establishing a residual equation of each distance equation; and solving the residual equation through a nonlinear least square method to obtain installation parameters. According to the method, the installation parameters of the ultra-short baseline acoustic beacon can be efficiently and accurately calibrated, and the problems that beacon laying and recycling operation is complex, cost is high, the operation period is long, efficiency is low, and the beacon is prone to drifting due to the influence of ocean currents are effectively solved.