44 results about "Area navigation" patented technology

This paper constructs a remote sensing sea ice dataset and, based on the characteristics of sea ice images, improves the YOLOv5 model by adding the SE attention mechanism, improving the SPP pooling pyramid structure, and replacing the SiLU activation function with the FReLU. The model's confidence is verified using evaluation metrics such as accuracy, recall, F1-score, and mean average precision, ultimately resulting in an optimal sea ice target detection model. The test set is input into the target detection model to obtain recognition results, extracting information such as the location and size of the sea ice. Based on this extracted information, a grid map is created. The starting and ending points are determined based on the ship's own position, and a path is planned using the Theta* algorithm. The generated path is evaluated using metrics such as route distance, average offset distance, number of ship turns, and number of sea ice avoidances. This paper implements sea ice recognition at a remote sensing scale, constructs simulated navigation scenarios, and plans the optimal navigation path. This paper can improve the safety of ships sailing in ice areas and provide technical support for collision avoidance and navigation decision-making assistance in ice areas.

The invention provides a scenic spot navigation method, system and device based on location services and a medium, and belongs to the technical field of scenic spot navigation, the method comprises the following steps: developing a scenic spot navigation light application based on a host application, and presetting location data of each scenic spot and a dynamic distance trigger threshold configuration rule for judging the location of a user; starting a scenic spot navigation light application, and obtaining a user position and a current positioning precision parameter through a real-time position interface of a host application; executing a dynamic distance trigger threshold configuration rule, and dynamically calculating a distance trigger threshold of each scenic spot according to the scenic spot distribution density and the current positioning precision parameter; when the distance between the position of the user and a certain scenic spot is smaller than the corresponding distance triggering threshold value, staying timing is started, and corresponding voice explanation is triggered after the duration condition is met. The intelligent level and the user experience of the scenic area guide system are improved by dynamically adjusting the trigger threshold value and comprehensively considering the judgment of multi-dimensional factors such as the positioning precision, the scenic spot distribution density and the residence time.

The invention discloses a UWB-based market shopping guide system and method, and relates to the field of intelligent shopping guide, and the system comprises a positioning module, an acquisition fusion module, a model construction module, a shopping guide path generation module, an interference compensation construction module and a credibility evaluation module. According to the method, the problem of insufficient precision of WiFi and Bluetooth methods is effectively solved by combining a time difference arrival and arrival angle combined positioning mode of UWB. A five-level space mapping index is established, direct correspondence between a customer target and an actual position is achieved, and the commodity retrieval and navigation accuracy of the shopping guide system is improved. The machine learning model is used for modeling the residence time, the access frequency and the promotion interaction behaviors of the customers, and the preference distribution of the customers is dynamically calculated, so that personalized recommendation and interest area navigation are provided in the shopping guide process. A congestion prediction model and a customer behavior prediction mechanism are introduced in a path planning process, a high-flow area is dynamically avoided, an optimal shopping path is generated, and shopping guide efficiency and comfort are improved.

The invention relates to the technical field of intelligent transportation, in particular to a state space modeling method for ship ice region navigation decision model training, which comprises the following steps of: constructing a sea ice dynamic model, and estimating an unobservable sea ice state by using unscented Kalman filtering to obtain a hidden variable vector; inputting the hidden variable vector, the observable state information and the external force field code into a Transform encoder, and outputting future sea ice center position distribution; constructing a confidence collision avoidance domain of the time index according to future sea ice center position distribution, wherein the confidence collision domain is updated in a rolling manner along with time; taking observable state information, hidden variable vectors and transformation embedding of a confidence collision avoidance domain as reinforcement learning states, and adopting near-end strategy optimization to train a sea ice dynamic model; and obtaining a ship ice region navigation decision model based on a joint termination criterion of the verification set collision rate, the arrival rate and the strategy divergence. The method improves the strategy convergence stability and the ice region safety passing rate, and is suitable for autonomous navigation and simulation training of polar regions and high-latitude sea areas.

The invention provides an offshore area navigation safety control and optimization method, which comprises the following steps of: 1, acquiring multi-source observation data of an offshore navigation target, and preprocessing the multi-source observation data to obtain a space-time observation association diagram; 2, evaluating the dynamic credibility of each observation node by using a multi-modal consistency graph neural network; constructing an adaptive weighted factor graph model according to the obtained dynamic credibility, and solving a system state to obtain an optimal fusion track, a corrected environmental parameter and a posterior error covariance matrix; 3, constructing a regional risk field based on the optimal fusion track, the corrected environmental parameters and a posterior error covariance matrix; 4, on the basis of the regional risk field, a multi-target collaborative optimization model is constructed and solved, and navigation control parameters are obtained; and 5, executing the navigation control parameters, and performing adjustment and optimization by adopting multi-level closed-loop feedback to complete the navigation safety control and optimization of the offshore area.

The invention provides a regional navigation positioning method, system and device based on sequential information, and a medium, which can effectively improve the positioning precision and reduce the calculation complexity when processing the sequential information, and have better precision and robustness. Under a satellite navigation denial condition, aiming at distance measurement information at different moments obtained by land-based radio area navigation, a factor graph model is established to represent an information transmission process between different moment states of a positioning target. Compared with a traditional Kalman filtering framework, the factor graph algorithm is better in positioning precision, higher in flexibility, lower in calculation complexity and better in robustness when sequential information is processed. According to the method, state estimation is converted into a nonlinear least square optimization problem, a Gaussian Newton method is adopted for iterative solution, and compared with extended Kalman filtering, the matrix operand is reduced by more than 40%.

The application provides an ice area navigation dynamic sea ice risk early warning method and system, the method first acquires the navigation information of a target ship, the first navigation radar image information of a first time point and the second navigation radar image information of a second time point, and calculates the time interval of the two time points, then respectively extracts the interested region of the sea ice echo through a mask matrix, fills the pixels of the interested region of the sea ice echo and the pixels of other regions except the interested region of the sea ice echo with different colors to obtain the binary image of the sea ice echo of the two time points, then calculates the distance, azimuth angle of each piece of sea ice and the target ship, and the latitude and longitude coordinates of the sea ice centroid of the two time points by using a specific calculation method, calculates the sea ice collision probability and the sea ice collision consequence, further calculates the sea ice collision risk index, and performs corresponding different level sea ice risk early warning on the sea ice according to the comparison result of the sea ice collision risk index and the preset risk threshold of different levels.

The present application provides a kind of offshore area navigation safety control and optimization method, comprising: step 1, the multi-source observation data of offshore navigation target is collected, and pre-processing is carried out, to obtain the space-time observation correlation graph;Step 2, the dynamic credibility of each observation node is evaluated using multi-modal consistency graph neural network;According to the obtained dynamic credibility, an adaptive weighted factor graph model is constructed, and the system state is solved to obtain the optimal fusion track, the corrected environmental parameter and the posterior error covariance matrix;Step 3, based on the optimal fusion track, the corrected environmental parameter and the posterior error covariance matrix, a regional risk field is constructed;Step 4, based on the regional risk field, a multi-objective collaborative optimization model is constructed and solved to obtain the navigation control parameter;Step 5, execute navigation control parameter, and adopt multilevel closed loop feedback to optimize, complete offshore area navigation safety control and optimization.

A water-air integrated search and rescue system includes a flight power module, a navigation power module, a plurality of biomimetic unmanned boats, a drone, and an integrated control module. The integrated control module is configured to acquire weather information and determine whether to send a flight signal to the flight power module or to send a navigation signal to the navigation power module based on the weather information; the flight power module is configured to fly the drone to a search and rescue region after receiving the flight signal; the navigation power module is configured to navigate the drone to the search and rescue region after receiving the navigation signal; the integrated control module is further configured to control the drone to deploy the plurality of biomimetic unmanned boats; and the plurality of biomimetic unmanned boats are configured to carry out search and rescue work in the search and rescue region.

To provide a gaming machine that can perform effective presentations. [Solution] The system enables the execution of a prize-winning assistance effect that notifies the order of operations for stopping the reels by displaying multiple navigation number indicators on the display device, and a CZ special symbol effect that displays multiple special symbols on the display device. When both navigation number indicators and special symbols are displayed, in the left and right areas of the display area of ​​the display device, the navigation number indicators and special symbols are displayed so that they fit within the area, and in the middle area, the navigation number indicators and special symbols are displayed at different positions on the center line of the width of the middle reel, and are displayed so that they fit within the area.

The application provides a ship ice area navigation early warning method, device and electronic equipment, the method comprises the following steps: obtaining ship data, first ice condition data and second ice condition data, wherein the first ice condition data is obtained by satellite remote sensing technology, the second ice condition data is obtained by infrared and radar equipment in real time, then the ship navigation risk level is determined based on the ship data and the second ice condition data, the ship navigation risk level comprises a first level, a second level and a third level, when the ship navigation risk level is the first level, a normal navigation early warning is sent, when the ship navigation risk level is the second level, a maximum speed limit early warning is sent based on the ship data and the second ice condition data, when the ship navigation risk level is the third level, a path change early warning is sent based on the ship data, the first ice condition data and the second ice condition data; the satellite remote sensing technology, the infrared camera and the radar are combined, and real-time detection and early warning of complex conditions around the ship are realized.

The invention discloses a grid star map identification method and system based on weighted voting and geometric verification, and the method specifically comprises the steps: firstly, constructing a feature mode database containing all-day navigation stars, and storing the rasterized geometric mode of an adjacent star sky region of each navigation star and the inverse document frequency (IDF) weight of each grid unit in the database; secondly, extracting a plurality of brightest observation stars as main stars from an observation star map obtained by a star map sensor, and generating an observation geometric mode for each main star; inquiring an offline database by utilizing an observation mode, generating a candidate navigation star list, dynamically filtering low-credibility candidate stars through an adaptive threshold strategy, and sorting the candidate stars by adopting a mixed scoring function; and finally, carrying out pose consistency check on the plurality of candidate stars with the highest scores through a geometric verification method, and identifying the most reliable matching result. On the premise of ensuring the real-time performance, the grid star map recognition robustness and accuracy under various noises and interferences are improved.

According to the public interaction terminal for target area navigation, the guidance method, the medium, the program product and the electronic terminal provided by the invention, the route, the state prompt and the recommendation information are synchronously output through the same digital human image, so that the sense of information dispersion is reduced; information is screened in real time according to the target position of the user and the scene, irrelevant advertisement interference is avoided, and user acceptability is improved; according to the method, only temporary session data is stored and cleaned regularly, personal identities are not stored, user privacy is protected, and compliance interaction is realized. When the user inquires the destination, navigation information of step-by-step path guidance is provided for the user, the personalized recommendation content related to the target position is automatically generated according to the target position and the current scene state of the user, and the user experience is improved through the anthropomorphic digital image. Comprehensive guide information of way directing, reminding and recommending is output to the user in the form of voice broadcast and visual presentation.

1. The name of the design product: navigation bar of office collaboration graphical user interface of electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the graphical user interface, the solid line part is the design point of the present application, and the dotted line part is the conventional design. 4. The picture or photo that best shows the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the interface of the design product is the interface of the office collaboration function of the application software. The part claimed in the present design is the navigation bar part of the office collaboration graphical user interface. The design 1 front view is the display interface of the navigation bar, and the right side of the navigation bar is the page display area; the upper part of the navigation bar is the entry button of the application resident function, and the lower part of the navigation bar is the entry button of the temporarily opened page, and the user can click the entry button in the lower part of the navigation bar to switch the temporarily opened page according to the demand; the display content in the page display area is determined according to the selected page content according to the operation of the navigation bar. The interaction mode of designs 2 to 4 is the same as that of design 1. The "X" in each interface represents one or more of characters, numbers, letters and symbols. The number of "X" in each interface does not constitute a limitation on the number of characters, numbers, letters or symbols represented. The blank area in the circular or rectangular icon in each interface is the content display area.

The application belongs to the technical field of ship-bridge active collision avoidance early warning, and discloses a ship-bridge active collision avoidance early warning method based on space-time trajectory prediction and anomaly detection. The application designs an enhanced auto-encoder structure containing a space encoder and a dynamic behavior encoder, which can effectively extract potential feature expressions of trajectories. In combination with a dynamic time warping (DTW) distance and a time series clustering algorithm, unsupervised detection and classification of abnormal trajectories are realized. In addition, a high-risk abnormal trajectory dataset in a real bridge area navigation scene is constructed based on an NT-PRO5000 full-task ship maneuvering simulator, further enhancing the generalization ability and early warning practicality of the model. Experimental results show that the proposed method has high accuracy and stability in trajectory prediction and anomaly detection tasks, and can realize real-time identification and active early warning of ship-bridge collision risks, providing effective technical support for intelligent navigation and risk management of inland waterway ships.

The utility model relates to an in-field instant navigation device, and relates to the field navigation equipment field, the in-field instant navigation device comprises a shell and a fixed base, the shell is internally provided with a navigation assembly used for positioning, one side of the shell is provided with a mounting block, the mounting block is detachably connected with the fixed base, the fixed base is provided with a sliding groove, and the two sides of the mounting block are slidably connected with the interior of the sliding groove; a movable rod is arranged on the wall of the sliding groove, a groove is formed in the middle of the movable rod, the inner wall of the sliding groove and the outer side of the fixed base, a clamping assembly used for clamping the upper end of the movable rod is arranged in the groove, a limiting rod is arranged on the upper side of the movable rod and extends towards the upper side of the mounting block, and when the mounting block is located in the fixed base, the limiting rod is located on the upper side of the mounting block. The navigation device has the advantages that the placement stability of the navigation device is improved, and a user can take and place the navigation device conveniently.

The utility model discloses a kind of ice prevention devices on full-rotation rudder propeller of ice area navigation ship, belong to ship propeller technical field, including box, the box is provided with rudder column, the rudder column is connected with ship body;Icebreaking cone, the icebreaking cone quantity is multiple and evenly distributed in the front end of the box, to carry out icebreaking treatment;Hub, the hub is located in the front end of the box, a plurality of blades are provided on the hub, to push ship body;Guide piece, the guide piece is connected with the box by a plurality of reinforcing ribs, the guide piece is located between the icebreaking cone and the hub, the guide piece is horn shape structure body.The utility model does not need to use net-shaped protective structure to protect blade, adopts icebreaking cone, reinforcing rib and guide piece to be arranged in echelon in navigation direction, and additionally add icebreaking ice knife, effectively avoid the phenomenon of ice jam, realize the function of icebreaking, ice separation and lateral protection.

The utility model designs a flat-wall reinforced spiral corrugated cable protection pipe, which comprises a flat-wall reinforced spiral pipe body, a corrugated connector and a pipe hoop with a sealing ring, the corrugated connectors are arranged at the two ends of the flat wall reinforced spiral pipe body, and every two adjacent corrugated connectors are connected through a pipe hoop with a sealing ring. The flat-wall reinforced spiral pipe body comprises a flat-wall pipe layer and a semi-cylindrical spiral winding layer, and the semi-cylindrical spiral winding layer is wound outside the flat-wall pipe layer by taking the outer diameter of the flat-wall pipe layer as the inner diameter; the connecting structure is convenient to construct, high in connecting strength, capable of achieving the water stopping effect to a certain degree and suitable for airport engineering flying area navigation-aiding lamplight engineering.

The invention discloses an ice region navigation simulation training method, and relates to the technical field of ice region navigation, and the method comprises the steps: building an ice region navigation simulation scene consistent with an ice region real sea area in visual features based on the ice region sea area real shot image data, and carrying out the simulation training according to the sea ice field actual measurement data or statistical data; sea ice physical and mechanical properties are endowed to corresponding sea ice entity elements in the simulation scene, so that the unification of the ice region navigation simulation scene in visual and mechanical characteristics can be realized; according to the method, ship body ice force calculation can be carried out by detecting sea ice conditions around a ship in a simulation scene and utilizing physical and mechanical attributes of sea ice entity elements, and then trainee navigation data in an ice region control motion simulation process can be obtained by solving an ice region control motion equation. And then, according to the trainee navigation data, carrying out quantitative evaluation on the ice region navigation practical training effect of the trainee, and obtaining an objective and accurate practical training effect quantitative evaluation result which is not influenced by subjective evaluation of a training teacher.

1. Name of the product in this design: Graphical User Interface for Scenic Area Navigation in Electronic Devices. 2. Purpose of this design: for running programs, displaying information, or communicating. 3. The key design feature of this product lies in the graphical user interface on the screen. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Since the display screen panel is a conventional design, the rear view has no design highlights and is omitted; since the display screen panel is a conventional design, the left view has no design highlights and is omitted; since the display screen panel is a conventional design, the right view has no design highlights and is omitted; since the display screen panel is a conventional design, the top view has no design highlights and is omitted; since the display screen panel is a conventional design, the bottom view has no design highlights and is omitted. 6. Purpose of the graphical user interface: This graphical user interface is used for navigation of scenic spots within the scenic area. 7. Human-computer interaction method of graphical user interface: Swipe up in the main view to jump to interface change state diagram 1; in interface change state diagram 1, click the "Qingyuan Navigation" button to enter interface change state diagram 2; in interface change state diagram 2, click the "Xiawan Ancient Temple" tab to jump to interface change state diagram 3; in interface change state diagram 3, click the "Chimelong Paradise" tab to jump to interface change state diagram 4.

1. The name of the design product: map data collection graphical user interface for electronic device. 2. The use of the design product: the design product is used for an electronic device. 3. The design points of the design product: the graphical user interface. 4. The picture or photo that best shows the design points: front view. 5. The electronic device is a conventional design, and the rear view, bottom view, top view, left view and right view are omitted. 6. The use of the graphical user interface: the product is used to display information related to map data. In the front view, the left side is a map display interface that displays map images; the right side is an operation interface, in the initial state, the "complete collection", "cancel collection" and P1, P2, P5 area key point buttons are in an unselectable state; the top is a region navigation bar, including each sub-area and the main road. After selecting the target vehicle through the drop-down menu in the operation interface in the front view and clicking "start collection", it changes to interface change state figure 1, the left side map display interface changes to display the expected running track, actual running track and real-time position of the target vehicle, and the buttons of "complete collection", "cancel collection" and each area key point in the right side operation interface are in a selectable state; clicking the "P1" button in interface change state figure 1 changes to interface change state figure 2, the left side map display interface changes to display the map images around P1 point, and the right side operation interface adds a "point supplement" window for updating the position of P1 point; clicking the "main road" in the region navigation bar in interface change state figure 2 changes to interface change state figure 3, the left side map display interface changes to display the map images of the main road and the related information of the main road, and the right side operation interface deletes the area key point buttons and the "point supplement" window.

The present application relates to a kind of ship ice area navigation risk and resilience evaluation method, method includes the following steps: S1, obtain current sea ice environment analysis result;S2, based on historical accident data, identify arctic ice area ship navigation accident scene and risk factor;S3, based on the sea ice environment analysis result and identified risk factor, the probability index and consequence index of each accident scene that ship ice area navigation occurs are calculated, risk index is obtained;S4, obtain the current state data of ship;S5, based on current state data and risk index, risk control scheme is obtained, and risk control scheme is carried out resilience evaluation and sorting, and resilience evaluation result is obtained.Compared with prior art, the present application has the advantages of improving the comprehensiveness and accuracy of ship ice area navigation risk management.

The application discloses a regional unmanned aerial vehicle dynamic time synchronization method and system, relates to unmanned aerial vehicles and time synchronization, and comprises the following steps: generating a clock reference signal as a frequency time reference benchmark of other components; generating a first time synchronization electric text frame corresponding to the clock reference signal and modulating the first time synchronization electric text frame to generate a transmission enhanced radio frequency signal; receiving an enhanced radio frequency signal transmitted by a ground center, demodulating the first time synchronization electric text frame, and measuring an observation quantity after frame synchronization; forming a second time synchronization electric text frame according to a measured time delay and unmanned aerial vehicle self-measured time information; calculating an initial clock difference by analyzing the measured time delay and the unmanned aerial vehicle self-measured time information in the second time synchronization electric text frame; correcting the initial clock difference data according to unmanned aerial vehicle motion errors to generate corrected clock difference results; and adjusting an unmanned aerial vehicle local clock reference signal according to the clock difference results. The method can improve the time synchronization precision between loads of an air-based regional navigation enhancement system.

The invention relates to a regional navigation ground station site selection method fusing meta-heuristic and adaptive retrieval, and belongs to the field of regional navigation. According to the method, the intervisibility analysis model and the intelligent optimization algorithm are deeply coupled, the intervisibility condition between the ground station and the target point is subjected to full-scene simulation by constructing the three-dimensional terrain digital elevation model and combining the Bresenham algorithm, non-intervisibility candidate point positions are removed in real time in an algorithm search space, and the defect that the intervisibility evaluation of a traditional method is insufficient is fundamentally overcome. On the algorithm optimization level, a meta-heuristic algorithm and a self-adaptive retrieval mechanism are fused to improve the site selection efficiency: through cooperation of a sine and cosine optimization algorithm and the self-adaptive retrieval mechanism, a self-adaptive adjustment mechanism is constructed, and the local optimization process is accelerated while the global search capability is maintained; according to the terrain and the candidate point distribution density, the search step size and the search range are intelligently adjusted, and the working efficiency can be effectively improved when the large-scale site selection problem is processed.

The application discloses a polar ship ice area route path planning method and relates to the technical field of ship and ocean engineering. The application provides a path planning system and method suitable for ship ice area navigation. A neural network is used to replace a ship motion equation, so that the ship motion constraint can be conveniently processed in an optimal control method. An optimized path meeting the kinematic constraint of the ship is generated based on an environment map and the ship motion performance. The sea ice environment field construction based on the shipborne vision can be realized. The efficient processing of the complex kinematic constraint can be realized by using the neural network agent model. The optimized path strictly meeting the ship maneuvering performance can be generated. The problems that the existing method is difficult to simultaneously process the high-precision environment field construction and the complex kinematic constraint due to the mutual disconnection of the perception, modeling and planning links are solved.

The invention relates to the technical field of automation control, in particular to a shoveling operation control method and system applied to unmanned loading equipment. The method comprises the steps of obtaining a current task instruction sent by instruction sending equipment; determining a target task type according to the current task instruction; the target task type comprises one of a loading operation task, a turning operation task and a transfer operation task; and determining a target working area according to the target task type, and performing area navigation on the unmanned loading equipment according to a preset tabu search algorithm and an area identifier corresponding to the target working area so as to control the unmanned loading equipment to execute a target operation corresponding to the target task type. Navigation control is carried out on the unmanned loading equipment in a taboo search mode according to the area identifier of the working area, high-precision positioning information does not need to be obtained, the complexity of a navigation system is reduced, the stability of navigation control is improved, and then the operation quality of shoveling operation of the unmanned loading equipment is improved.

This invention provides a point cloud-based navigation method, system, device, and storage medium for quay crane areas. The method includes the following steps: navigating to the surrounding area of ​​the quay crane area using a first navigation path based on GPS positioning data; continuously scanning at least a portion of the quay crane area in the surrounding area to establish point cloud map data of cargo ships within the quay crane area; detecting GPS positioning signals in real time and matching point cloud objects in the point cloud map data with the GPS positioning data; generating a second navigation path based on the completed point cloud map data when the GPS positioning signal does not meet a preset signal strength threshold; and performing loading and unloading operations with the quay crane based at least on the second navigation path. This invention can fully utilize the edge information of cargo ships to achieve self-positioning of vehicles with six degrees of freedom, greatly improving the accuracy and safety of truck and quay crane alignment, even when cargo ships are docked at the quay and GPS positioning fails.

The invention relates to the technical field of navigation and positioning, in particular to an underwater wide-area navigation and positioning construction method and system.The method comprises the steps that the electric field intensity of very-low-frequency radio in the long-distance propagation process is calculated according to the transmitting frequency of a very-low-frequency transmitting station, and the cross-domain navigation coverage range is calculated according to the underwater entry depth of the electric field intensity; constructing a very-low-frequency radio cross-domain navigation network in a land-based layout mode by taking a cross-domain navigation coverage range and GDOP distribution as thresholds; constructing a low-frequency remote acoustic navigation network by adopting a seabed subsurface buoy layout mode on the basis of the water depth and terrain required by acoustic propagation; and performing underwater wide-area navigation positioning according to the very-low-frequency radio cross-domain navigation network, the low-frequency remote acoustic navigation network and inertial navigation. According to the method, a multi-source fusion navigation mode of low-frequency radio cross-domain navigation, low-frequency remote acoustic navigation and inertial navigation is realized through a factor graph fusion algorithm, and navigation and positioning in an underwater wide-area range are realized.