149 results about "Satellite navigation system" patented technology

The invention relates to the technical field of urban traffic management and carbon emission reduction accounting, and provides a bus travel carbon emission reduction accounting method fused with Beidou spatio-temporal data, which comprises the following steps: acquiring spatio-temporal trajectory data based on a Beidou satellite navigation system, and constructing a passenger-trajectory-station three-dimensional correlation model for passenger flow analysis; constructing a passenger transfer analysis system based on the passenger flow analysis result; constructing a dynamic'perception-prediction-optimization 'dynamic scheduling optimization system for passenger flow detail analysis on the basis of space-time trajectory data and a reinforcement learning algorithm; and constructing a mileage-frequency distribution model and a station efficiency evaluation model based on the spatio-temporal trajectory data, respectively generating a trajectory matching optimization strategy and a differentiated station optimization scheme, and realizing adaptive optimization of the public transportation system under dynamic demand change. Compared with a traditional static data dependence method, the method achieves the dynamic and fine-grained monitoring of the operation process of the public transportation system, and effectively improves the timeliness and integrity of data.

The invention provides a Beidou satellite navigation positioning terminal dynamic test system and method, and the system comprises a power divider which is connected with a high-precision navigation positioning antenna, and is connected with a standard global satellite navigation system high-precision positioning terminal and a tested Beidou satellite navigation positioning terminal at the same time. The signal receiving module is used for enabling the standard global satellite navigation system high-precision positioning terminal and the detected Beidou satellite navigation positioning terminal to receive consistent satellite navigation signals; the post-data resolving and processing computer is used for being connected with the standard global satellite navigation system high-precision positioning terminal and the tested Beidou satellite navigation positioning terminal and receiving and obtaining test data of the standard global satellite navigation system high-precision positioning terminal and the tested Beidou satellite navigation positioning terminal. And post-resolving processing is carried out based on the test data. The system is simple in structure, easy to deploy, reliable in test result and suitable for a dynamic test scene, and the positioning precision and the test efficiency are remarkably improved.

The invention discloses a self-adaptive integrated navigation method and system based on satellite differential signals, and belongs to the field of integrated navigation, and the method comprises the following steps: carrying out state prediction based on the output of an inertial navigation system; a deviation function is established through sliding window fitting, and effectiveness evaluation and preventive correction are carried out on differential satellite navigation system signals; dynamically adjusting a measurement noise matrix according to the positioning mode and performing residual error verification; carrying out measurement updating by utilizing the deviation passing the verification to obtain an estimated value containing the error of the inertial device so as to carry out closed-loop feedback correction on navigation parameters; and when the satellite signal fails, compensating the inertial navigation system by using the device error parameter in the estimated value and realizing pure inertial recursion. According to the method, the data quality can be improved from the source, the self-adaptive robustness of the system in a complex environment is enhanced, inertial navigation error divergence is continuously inhibited, and the navigation endurance precision under the extreme condition of satellite signal failure is guaranteed.

The invention provides a positioning time service base station, a positioning time service method, a storage medium and a program product, relates to the field of communication, and can solve the problems that an existing positioning time service scheme is high in construction, operation and maintenance cost and has a service blind area. The base station comprises a GNSS receiver chip, a crystal oscillator, a data acquisition and processing unit and a radio frequency unit, the GNSS receiver chip is used for receiving more than two frequency point signals at the same time; wherein the frequency point signal comes from a satellite navigation system; the crystal oscillator is used for providing time reference; the data acquisition and processing unit is used for receiving observation data of the satellite navigation system; performing differential calculation at least based on the observation data to obtain differential correction data; wherein the differential correction data is used for the terminal equipment to carry out positioning correction or time service correction; a radio frequency unit; and the radio frequency unit is used for sending the differential correction data to terminal equipment located in a service area of the positioning time service base station.

The invention relates to the technical field of meteorological prediction, and provides a Beidou rainfall prediction method based on a deep learning large model and a related device, and the method comprises the steps: obtaining the time-space reference data of a target region through a Beidou satellite navigation system, including the high-precision positioning data of a Beidou ground-based augmentation station and the meteorological element inversion data of a Beidou remote sensing load; collecting real-time rainfall observation data of a ground rainfall monitoring terminal, a meteorological radar and satellite remote sensing; performing space-time alignment processing on the space-time reference data and the real-time rainfall observation data, and constructing a standardized data set; and constructing a deep learning large model, training the deep learning large model by using a space-time sequence prediction task, and inputting the standardized data set to the trained deep learning large model to output a multi-scale rainfall prediction result of the target area in a future preset duration.

This invention discloses a method and apparatus for accurate bridge damage identification and location based on multi-source data fusion. The method includes: performing spatiotemporal registration and data fusion on the time-series data of the bridge's global planar deformation obtained by ground-based synthetic aperture radar and the time-series data of the bridge's point-like three-dimensional deformation obtained by the BeiDou satellite navigation system to obtain a fused deformation field of the entire bridge area; calculating multiple damage characteristic indicators reflecting different deformation physical mechanisms of the bridge based on the fused deformation field, and determining the corresponding preliminary damage level based on the damage judgment threshold of each damage characteristic indicator; using the preliminary damage levels of each damage characteristic indicator as independent evidence sources, performing evidence fusion to resolve indicator conflicts, and determining the bridge damage location and damage level based on the fusion result. This method can effectively improve the accuracy and reliability of bridge damage identification and location, providing a scientific basis for bridge operation and maintenance decisions.

The invention provides a satellite communication antenna device and a vehicle-mounted satellite navigation system.The satellite communication antenna device comprises a shell and a communication antenna assembly, the communication antenna assembly comprises a board end connector, an antenna circuit board and a welding layer, the board end connector is provided with a signal transmission line, and the signal transmission line is used for being electrically connected with the grounding end of the antenna circuit board; the board end connector is connected to the antenna circuit board, at least one surface of the antenna circuit board is provided with a copper exposing area, a welding gap exists between the end surface of the board end connector and at least part of the copper exposing area, the welding layer is arranged in the copper exposing area, and the welding layer blocks the welding gap. After the antenna circuit board and the board end connector are assembled, tin soldering is carried out at the connection position between the antenna circuit board and the board end connector, so that signals leaked by the signal transmission line are effectively isolated by the tin soldering, self-excitation caused by GNSS antenna receiving due to signal leakage is avoided, the problem of impedance mismatch is effectively solved, and the antenna quality is improved. Therefore, vehicle positioning precision and navigation system stability are ensured.

The invention belongs to the technical field of navigation, and discloses a navigation positioning method based on multi-source data fusion, which comprises the following steps: an error equation of an inertial navigation system is calculated, and a system state equation is the error equation of the inertial navigation system and mainly comprises attitude, speed, position and inertial device error equations; and calculating an inertia / TACAN state equation. Filtering state fusion estimation is calculated, an inertial navigation system serves as a reference system, other satellite navigation systems and the inertial navigation system form a sub-filter, state estimation is conducted through Kalman filtering, and then a filtering result is sent to a main filter for information fusion. Through the steps, the influence of a single navigation system on the airborne navigation system is effectively reduced, and the reliability of the navigation system in a complex electromagnetic environment is improved.

The invention relates to methods for locating moving objects in a geographical area. A method for locating a wheeled vehicle in a geographical area includes receiving information by means of video surveillance devices, performing recognition on said information, and determining the location of the vehicle. Information about the vehicle is obtained by means of video cameras, the locations of which are known. Subsequently, video capture results are assigned a feature confirming the location of the vehicle, and data containing the video capture results and the coordinate-confirming feature are transmitted to a remote server. Recognition is then performed on the received video capture results and the vehicle is identified. In the event of a positive identification, information about the location of the vehicle is transmitted to the user. The invention makes it possible to more accurately locate a wheeled vehicle in the case of interference impacting the operation of satellite navigation systems and in the case of a spoofing risk.

The invention discloses a device, method and system for detecting water quality through full-automatic collection and positioning, and the method comprises the steps: firstly putting a device cabin into a target water body, and recording geographic position information by a Beidou satellite navigation system; the automatic water sample collecting device collects a water quality sample and pumps the water quality sample to the liquid storage tank, the coloring agent feeding device injects a coloring agent to form a mixed solution, and the mixed solution is conveyed to the color-sensitive sensing device through a third metering pump; the color-sensitive sensing device acquires image information and transmits the image information to the data acquisition and processing device; extracting an RGB proportion value, distinguishing polluted and unpolluted areas through a critical relationship method, calculating matrix entropy and average information amount in combination with an information entropy theory, and evaluating the pollution degree; an evaluation result and a geographic position are fused to generate a pollution path map, a Beidou satellite navigation system plans a route, and a displacement device drives a device cabin to move towards a low-pollution area; and repeating the sampling evaluation process, and dynamically updating the pollution path diagram until the pollution source is locked. The problems of insufficient pollution source positioning accuracy and efficiency and the like in the prior art are solved.

This invention relates to the field of unmanned aerial vehicle (UAV) technology and discloses a high-efficiency underwater UAV. The UAV is equipped with an adjustable power drive mechanism and an observation mechanism, and internally features a high-strength, lightweight internal frame and a satellite navigation system. The adjustable power drive mechanism employs a tail-mounted power unit, tail fin, and multiple side-mounted adjustable propellers in a coordinated layout. The propellers can achieve pitch, rotation, and angle adjustment, satisfying multi-attitude control requirements such as hovering, turning, climbing, and diving, with stable thrust and flexible maneuverability. It is equipped with a deep-sea pressure-resistant transparent protective cover and a sonar positioning device, combined with satellite navigation for precise positioning and navigation, providing strong protection and environmental awareness capabilities. This invention solves the problems of traditional UAVs, such as single power source, insufficient maneuverability, and limited observation capabilities. It possesses advantages such as high-efficiency navigation, precise control, strong environmental adaptability, and reliable structure, making it suitable for deep-sea exploration, engineering inspection, environmental monitoring, and other operational scenarios.

This invention relates to a biomimetic compound eye wide-area sensing and communication system for unmanned swarms, comprising a collaborative optical signal modulation and transmission unit, a wide-area biomimetic compound eye photoelectric sensing unit, and a spatial optical communication and positioning calculation unit. By structurally encoding control commands and employing frequency shift keying modulation, digital information is converted into near-infrared modulated optical signals, enabling spatial information propagation. The receiving end utilizes a biomimetic compound eye structure to converge wide-area field-of-view optical signals and completes photoelectric conversion through a spatial position sensor. Multi-channel signal processing is combined to achieve communication signal demodulation and feature extraction. Based on this, multi-dimensional features are constructed and spatial position calculation is performed, realizing integrated information interaction and relative position perception between nodes. This invention does not rely on radio frequency communication links and satellite navigation systems. In complex electromagnetic countermeasures and navigation-constrained environments, it can achieve stable communication and collaborative sensing for unmanned swarms, possessing advantages such as strong anti-interference capability, good concealment, and high environmental adaptability.

The application relates to the technical field of satellite navigation, and discloses a satellite navigation system receiver signal tracking method and system. The method comprises the following steps: obtaining a local carrier signal according to a carrier phase residual at a previous moment, performing coherent integration processing on an intermediate frequency carrier signal to obtain a coherent integration value; establishing a carrier signal state model and a carrier signal observation model of an extended Kalman filter of the intermediate frequency carrier signal according to the coherent integration value, performing extended Kalman filter iterative calculation on the coherent integration value to obtain a state vector estimation value of the intermediate frequency carrier signal; performing multi-channel carrier signal joint tracking on the coherent integration values corresponding to the intermediate frequency carrier signals of each antenna element, and obtaining a carrier phase residual at a current moment according to the obtained dynamic phase weight value, correcting the phase of the corresponding state vector estimation value to obtain a carrier signal phase estimation value. The method improves the signal tracking precision of the satellite navigation system receiver.

The invention relates to an underwater multi-source autonomous navigation digital twinning and semi-physical simulation test system and method, which are suitable for development and algorithm verification of a multi-source autonomous navigation system of underwater unmanned platforms such as an unmanned underwater vehicle. According to the system, a semi-physical simulation architecture is adopted, and a physical inertial measurement unit (IMU), a three-axis turntable and a computer simulation module are combined; signal simulation, motion scene simulation, sensor error and environmental noise injection, multi-source navigation information fusion and precision evaluation of sensors such as an inertial navigation system, a Doppler log, an ultra-short baseline positioning system and a satellite navigation system are realized. The platform has the simulation capability of two typical underwater scenes of mooring and motion, supports verification of multiple combined navigation modes, can simulate complex underwater acoustic environments such as Gaussian and non-Gaussian noise and abnormal outliers, and provides a highly reliable and high-precision semi-physical simulation verification environment for development and completeness evaluation of an underwater multi-source autonomous navigation algorithm.

The invention belongs to the technical field of glass processing, relates to processing of an atomic clock microwave cavity, and relates to a tool and a method for high-precision processing of a large-size thin-wall glass cavity. The two ends of the glass crystal ingot are cut to be flat, and the parallelism of the two end faces after cutting is smaller than or equal to 0.05 mm; a first blank of a barrel-shaped structure is manufactured in the flatly-cut end face through drilling; milling and grinding the first blank to obtain a second blank; and the second blank is polished through the tool, and then the workpiece is obtained. The tool comprises a polishing main shaft, a top roller and a driving mechanism. According to the method provided by the invention, high-precision, high-efficiency and high-reliability processing can be carried out on the large-size thin-wall glass microwave cavity, so that the processing quality of the cavity and the performance of an atomic clock are improved, and the method plays an important role in the aspects of a satellite navigation system, deep space exploration and spacecraft orbit determination, information network synchronization, a national time frequency system and the like.

The application discloses a multi-mode GNSS / inertial tight combination factor graph optimization method based on variance component estimation and belongs to the technical field of satellite / inertial combination navigation. The application realizes the method as follows: under the condition of assigning prior multi-GNSS inter-system weight, the observation of the multi-mode GNSS and the inertial navigation system is fused based on a factor graph optimization method; the posterior residual is calculated by combining the multi-mode GNSS observation equation and the posterior state estimation result obtained after the factor graph optimization; the weight between the multi-GNSS systems is adjusted in real time and adaptively according to the signal quality of each satellite navigation system satellite by using a variance component estimation method; and the satellite observation containing gross errors is subjected to weight reduction processing based on a gross error detection and weight reduction algorithm before the weight between the systems is adaptively adjusted. The application uses a robust variance component estimation to determine the weight between the multi-GNSS systems, adjusts the reliability degree of the observation information of different satellite navigation system satellites in real time, and improves the precision and robustness of the multi-mode GNSS / inertial tight combination navigation system.

This invention relates to vehicle control systems and methods. According to one embodiment, a vehicle control system is provided, comprising a user terminal, a server, and a processor. The user terminal is configured to: determine whether to enter a first area relative to the vehicle using satellite navigation system signals, and request the transmission of a wake-up signal upon entering the first area; the server is configured to: send a wake-up signal to the vehicle in response to the wake-up signal transmission request from the user terminal; and the processor is configured to: switch the operating mode of the vehicle's Bluetooth module and AVNT from a first mode to a second mode in response to the wake-up signal.

A radio-frequency circuit includes a filter circuit and a power amplifier circuit. The filter circuit includes a first pass band corresponding to a band of a cellular communication system and a second pass band corresponding to a band of a satellite communication system. The power amplifier is connected to the filter circuit. The second pass band is positioned between the first pass band and a third pass band corresponding to a band of a satellite navigation system, or the second pass band at least partially matches the first pass band.

This invention discloses a time-frequency maintenance method, apparatus, and system based on dual-source discipline and drift prediction, relating to the field of satellite time synchronization and time transfer technology. The method includes: S1, acquiring first data and second data in real time; S2, analyzing the first frequency offset based on the first data and analyzing the cumulative phase of the second frequency offset based on the second data; S3, analyzing the target phase value based on the cumulative phase of the second frequency offset and the first data; S4, analyzing the frequency offset correction value based on the target phase value and the first frequency offset; S5, controlling the center frequency of the thermostatic crystal oscillator based on the frequency offset correction value and outputting a time-frequency signal; S6, returning to S1 and repeating S1-S5 in a loop to achieve time-frequency maintenance. By introducing the BeiDou satellite navigation system as a time-frequency reference source in addition to the cesium clock, the simultaneous operation of the two sources achieves the following objectives: reducing the frequency offset of the cesium clock, improving frequency accuracy, and significantly improving the timekeeping performance of the cesium clock.

The invention relates to the technical field of flue structure safety monitoring and early warning, and discloses a flue structure online state evaluation and early warning method based on Beidou space-time big data. Comprising the steps of data acquisition, multi-source data preprocessing, flue structure feature extraction, state evaluation model construction, real-time state evaluation, early warning threshold determination, graded early warning release and optimization adjustment after early warning. According to the invention, parameters such as three-dimensional coordinates, attitude angles, vibration acceleration, corrosion amount and the like of the flue are collected in real time based on a Beidou satellite navigation system in combination with multiple types of sensors such as strain sensors, temperature sensors and displacement sensors and an inertial measurement unit, after positioning data is subjected to Kalman filtering and noise reduction, the noise variance is less than or equal to 0.01 cm < 2 >, the relative displacement measurement precision is less than or equal to + / -0.1 cm, and the error is reduced by 90% compared with that of manual inspection; the data transmission delay is less than or equal to 3s, instantaneous dynamic change can be captured, 24-hour uninterrupted monitoring is realized, and the early-stage slight damage discovery rate is increased from traditional 30% to 98%.

The invention relates to a method for assigning geographical coordinates to image coordinates of a camera image, wherein optically coded markers (4) having reference points (7) are arranged in the camera image region (3). The detected image coordinates of the reference points (7) are assigned, on the basis of the marker IDs, to the geographical coordinates, which were determined by means of a receiver of a satellite navigation system integrated into a portable device (8), wherein the process is repeated with a plurality of differently coded markers (4) in a plane (1).

The invention discloses a multi-node cooperative sound source positioning system and method for pipeline state monitoring, relates to the field of pipeline state monitoring, and introduces a BDS (Beidou satellite navigation system) second pulse signal as a global synchronization reference to realize nanosecond synchronous acquisition and packaging of multi-node acoustic data. On the basis, abnormal events are screened and converged on the edge side based on a signal amplitude threshold value. And furthermore, the same abnormal event data captured by multiple nodes is utilized, and high-precision positioning of the sound source is realized through a TDOA (Time Difference Of Arrival) algorithm in combination with linear solution of a nonlinear hyperbolic positioning equation set. And finally, according to a positioning result, reversely extracting a source signal section and performing time-frequency characteristic analysis, so that not only is the position of a sound source locked, but also specific classification of pipeline states (such as leakage and damage) is completed, and thus all-weather and high-precision intelligent pipeline monitoring is achieved.

The utility model provides a positioning monitoring device which comprises a shell, and the interior of the shell is divided into a positioning monitoring cabin and a control cabin which are not communicated with each other in space. A touch switch, a swing structure and inert liquid are arranged in the positioning monitoring cabin, the touch switch and the swing structure are respectively arranged on two inner walls with an included angle of 90 degrees of the positioning monitoring cabin, one end of the swing structure is in intermittent contact with the touch switch, and the other end of the swing structure is positioned in the inert liquid; a control circuit board and an electricity storage device are arranged in the control cabin, and the control circuit board is used for sending a positioning request signal to the Beidou satellite navigation system or the GPS system under the condition that the swing structure touches the touch switch within preset time; the touch switch and the electricity storage device are electrically connected with the control circuit board. The positioning monitoring device can remotely discriminate that the equipment is moved when the equipment abnormally moves in a short distance, and meanwhile, the problems that the manual intervention requirement is high, and the information redundancy problem is prominent can be solved.

The application discloses a kind of urban traffic signal optimization management system and method based on multi-mode satellite navigation, it is related to traffic signal optimization technical field, system includes initial determination module, for determining target area;Distance group processing module, determine the distance between target area and the nearest traffic signal lamp in fixed direction, form distance group;Area influence radius analysis module, based on the number of distance group and target area lane, determine the area influence radius of target area;Multi-mode satellite monitoring module, determine the multi-mode satellite monitoring area of target area;Traffic prediction module, determine the traffic prediction data of target area;Traffic signal optimization module, determine traffic signal optimization instruction.The application integrates a variety of satellite navigation systems, can monitor the real-time state of each traffic area in real time, from the level of social practice, solve the early warning defects of existing traffic optimization algorithm.

The application is suitable for the ionospheric research field of global satellite navigation system, and provides an ionospheric scintillation prediction method based on self-attention mechanism and time sequence memory integration and a computer device.The method comprises the following steps: inputting a multi-dimensional time sequence characteristic input matrix into a double-channel feature extraction network in parallel, extracting a macro global correlation characteristic vector across a time window by using a multi-head self-attention mechanism of a Transformer module, and extracting a micro local dynamic time sequence characteristic vector by using a gating mechanism of an LSTM module;splicing the macro global correlation characteristic vector and the micro local dynamic time sequence characteristic vector to obtain spliced features, inputting the spliced features into a fully connected layer with a ReLU activation function for dimension reduction and cross-modal mapping, and generating a high-order fusion characteristic vector; inputting the XGBoost model constructed in advance into an iterative training and optimization process, constructing an ionospheric scintillation prediction model, and outputting an ionospheric scintillation prediction result at a target time.The application realizes the complementary advantages of global long-range features and local short-time memories.

This invention belongs to the field of satellite navigation signal multiplexing technology, and discloses a method, transmitter, receiver, and system for multiplexing adjacent multi-frequency satellite navigation signals. This invention provides a specific implementation method and system for adjacent multi-frequency satellite navigation signal multiplexing technology, enabling the multiplexing of multiple navigation or communication signals at the middle frequency, both sides of the middle frequency, or the upper and lower sidebands of the middle frequency, solving the current problem of no multiplexing of adjacent multi-frequency satellite navigation or communication signals in the BeiDou system. It can be widely applied in satellite navigation systems, various ranging systems, communication systems, broadcasting systems, and control systems.

The utility model provides a high gain antenna, which comprises an antenna body and a metal baffle plate arranged around the antenna body, the antenna body comprises a feed pin, a dielectric substrate and a radiation electrode fixed on the surface of the dielectric substrate, the feed pin is electrically connected with the radiation electrode, and the height H of the metal baffle plate is not greater than the maximum height D of the antenna body. And the minimum distance L1 from the metal baffle plate to the center of the feed needle and the maximum side length L of the dielectric substrate meet the condition that L1 is greater than or equal to 1 / 2 * L. The unique structure that the metal baffle is arranged around the antenna is adopted, the electromagnetic environment around the antenna is effectively changed by means of the reflection, shielding and diversion effects of the metal baffle on electromagnetic waves, and the effect of remarkably improving the antenna gain in a limited space is successfully achieved. The dual requirements of modern electronic equipment for antenna miniaturization and high performance are fully considered, the bottleneck of gain improvement in a limited space in the traditional antenna design is broken through, and powerful support is provided for efficient and stable operation of a satellite navigation system in a complex environment.