44 results about "Trajectory database" patented technology

The invention relates to a ship trajectory data mining and macro-micro fusion route prediction method and system, and the method comprises the steps: S1, extracting ship trajectory data near an inland waterway from the data of an automatic ship recognition system, and carrying out the cleaning, filtering, sorting and preliminary analysis; s2, performing clustering analysis by using the features of the ship trajectory data, preliminarily mining trajectory features in combination with manual annotation, and establishing a ship trajectory database; s3, on the basis of historical data, constructing a deep learning model aiming at the inland river driving key path nodes of the ship from a macroscopic level; s4, training a deep learning model combining a convolutional neural network and a long-short-term memory network based on historical data, and predicting a ship position track from a micro level; and S5, performing macro-micro fusion prediction on the new ship data to obtain a ship navigation path and trajectory prediction coupling result. According to the method, coupling of macro and micro prediction means is adopted, and a certain guarantee is provided for the precision of ship trajectory prediction.

The invention relates to the technical field of industrial robot control, and discloses an industrial robot trajectory optimization control method based on an intelligent algorithm. The method comprises the steps that joint position information, tool center point coordinates and a motion time sequence when a robot executes multiple tasks are collected and stored in a track database; after cleaning and screening data, extracting a feature set containing a path point sequence, speed distribution and an acceleration contour; constructing an intelligent optimization algorithm model of a neural network structure, and training by using the feature set to learn a trajectory optimization strategy; analyzing a target position coordinate and a motion constraint condition of the current task to obtain an initial track parameter; and inputting the initial parameters into the trained model, outputting an optimized track sequence containing a path point list and a speed curve, and generating a control instruction to drive the robot to move. The method can adapt to different tasks, improves track rationality and motion stability, and fits industrial production practice.

The invention relates to the technical field of logistics tracking, in particular to a shipping logistics tracking method. Comprising the following steps: detecting a signal interruption time point and duration to obtain a signal interruption interval; according to the signal interruption interval, the navigation speed, direction and position which are finally recorded before interruption of the ship are extracted from a historical navigation trajectory database, and an initial state vector is generated; predicting a future transportation path of the ship through the corrected position sequence, and generating a predicted path set; according to the prediction path set, constructing a ship motion track in the three-dimensional virtual scene, and generating a visual track model; obtaining a decision support view by combining the confidence coefficient of the reckoning position sequence; and updating a port scheduling plan in real time through a decision support view, and generating an optimized loading and unloading time sequence. According to the method, the problem that the calculation precision of the position of the ship is not high in a complex scene of signal interruption is solved, and the ship position precision and the prediction precision of a future transportation path are improved.

The invention relates to a mechanical arm trajectory planning method and device and a mechanical arm, the mechanical arm comprises a base, a plurality of joints and an end effector which are connected in sequence, the method comprises the steps that a mechanical arm trajectory database is established based on a simulation environment, and the mechanical arm trajectory database comprises multiple pieces of trajectory data, the trajectory data comprises positions of a plurality of attitude points on a motion trajectory of the mechanical arm and angle data of each joint corresponding to each attitude point; obtaining a trajectory planning task, matching corresponding trajectory planning parameters with the multiple pieces of trajectory data, and obtaining at least one piece of candidate trajectory data based on a matching result; and combining the trajectory planning parameter with the at least one piece of candidate trajectory data to obtain final trajectory data, so that the problem that the motion trajectory of the tail end of the mechanical arm is not smooth is solved.

The invention discloses a photovoltaic off-grid hydrogen production system operation mode switching instant DC bus voltage stability control method, which comprises the steps of collecting a DC bus voltage signal, and reconstructing a high-dimensional phase space trajectory; calculating real geometric features such as phase space curvature and torsion of the trajectory; searching a historical similar trajectory segment in a historical trajectory database, and generating a final prediction trajectory at a future moment according to a known evolution path of the historical similar trajectory segment; and generating a feedforward control signal according to the deviation between the final prediction track and the reference voltage, and combining the feedforward control signal with traditional feedback control to form a final control instruction. The method does not depend on an accurate system mathematical model, and realizes rapid, smooth and stable control of voltage under mode switching by deeply excavating dynamic geometric information of voltage signals.

The invention belongs to the technical field of image recognition, and provides an airport intelligent bird repelling system radar detection recognition method based on a bird flight trajectory, which comprises the following steps: obtaining sequential flight trajectory data of birds based on bird situation data of an airport area obtained by a bird detection radar in real time; based on an LSTM classifier and a recurrent neural network, classifying the time sequence flight trajectory data to obtain a bird flight trajectory recognition result; and carrying out feature value similarity matching on the bird flight trajectory recognition result and bird flight standard trajectory data in a set bird flight standard trajectory database to obtain a bird type recognition result. According to the invention, through the learning ability of the LSTM classifier and the recurrent neural network, the fine features of the flight trajectory of the birds can be accurately captured, high-precision trajectory classification is realized, and the intelligent level of an airport bird repelling system is improved.

The invention discloses a perception data processing and tracking method suitable for a low-altitude economic unmanned aerial vehicle, and relates to the technical field of unmanned aerial vehicles, and the method comprises the following steps: receiving measurement data from various sensors and local state data; establishing a track for each detection target of each sensor and linking tracks of the same target from different sensors; managing tracks in the track database and finding out an optimal sensor track; according to the method, data of ADS-B, ATAR, Camera and GBSS multi-source sensors are integrated, coordinate conversion and a track association algorithm are combined, accurate recognition and tracking of cooperative and non-cooperative intrusion targets are achieved, compared with a single sensor or a simple weighted fusion method, the method has the advantages that the method is simple, and the method is easy to implement. According to the method, the missing detection rate and the false detection rate are effectively reduced, and the accuracy and the environmental adaptability of sensing data in a complex low-altitude environment are remarkably improved.

The invention relates to the technical field of data management and tracking, in particular to a file trajectory tracking method and system based on a knowledge graph, and the system comprises four modules: a data collection module is responsible for collecting detailed information of a file, a user and a PC; the knowledge graph construction module creates a knowledge graph comprising user nodes, file nodes and PC nodes according to the collected data, establishes relationship edges among the nodes according to file operation behaviors, marks operation types, time and PC information, and optimizes node feature representation by using spectrogram convolution operation; the track recording module is responsible for recording and storing newly generated operation behavior information to the track database; after receiving a tracking request, the trajectory tracking module preprocesses the knowledge graph through a spatial graph convolution operation, aggregates related operation information to update node representation, and further accurately backtracks a motion trajectory of a file in the knowledge graph; the technology provides powerful support for the fields of file management, security audit and the like, and has a wide application prospect and an important practical value.

The present disclosure provides a trajectory data processing method, device and equipment of a road network map, belonging to the technical field of computer information processing, solving the problem that the trajectory data of the road network map is prone to appear stuttering phenomenon when displayed in a three-dimensional scene, resulting in poor visualization effect. The method comprises: determining a spatial road network model according to a source file in the road network map; generating a trajectory database according to trajectory data in the road network map; correcting trajectory points in the trajectory database according to the spatial road network model to obtain corrected trajectory point data. The technical scheme of the present disclosure can make the trajectory data of the road network map more clear and smooth when displayed in a three-dimensional scene.

The invention discloses a forest region disaster risk assessment method based on machine learning, and relates to the technical field of forest region disaster risk assessment, and the method comprises the steps: S1, building a forest region disaster evolution trajectory database, carrying out the modeling of historical disaster events according to a time sequence, analyzing the similarity between the current forest region environment characteristics and historical disaster trajectories, and obtaining a forest region disaster evolution trajectory database; deducing disaster types and focus points of attention, and clustering disaster features to form a risk category set; according to the forest disaster risk assessment method based on machine learning, the disaster risk condition can be displayed with higher information density and a clearer structure, so that the risk identification speed is improved, the understanding burden caused by information overload is reduced, and the accuracy, interpretability and response efficiency of forest disaster risk assessment are remarkably enhanced on the whole.

The present invention relates to a phased array tracking method based on four-dimensional joint weighted dynamic pre-switching, and belongs to the field of phased array communication technology. The present invention includes: updating the spatiotemporal correlation parameters to the target historical motion trajectory database, generating the target state prediction value based on the UKF prediction method; starting the four-dimensional joint gradual weighting program, performing linear phase interpolation in the time delay dimension, and generating a phase-continuous control signal; solving the mutual coupling matrix, establishing a cross-array phase mapping model based on cubic spline interpolation, and compensating for the residual phase error; dynamically adjusting the number of effective array elements participating in beam synthesis according to the real-time radar scattering cross section, generating the final beam pointing signal, and completing the stable relay tracking of the current cycle. The present invention solves the problems of phase jump and signal attenuation during multi-array switching, and is suitable for continuous tracking of UAVs in high-speed moving scenarios.

The invention relates to the technical field of building thermal environment regulation and control, and discloses a building ventilation thermal load regulation and control method and system based on thermal plume prediction, and the method comprises the steps: constructing a curtain wall surface three-dimensional coordinate system and a thermal state temperature map, and obtaining a current thermal plume trajectory; similar trajectory matching is carried out in combination with a historical thermal plume trajectory database, and a thermal plume development path is predicted; based on a prediction result, establishing a compensation relationship between a floor load grading sequence and an adjacent floor feed-forward temperature, implementing time sequence dislocation dimming through spiral progressive control, and after time sequence dislocation dimming, performing thermal-optical coupling feedback correction; hot air can be effectively prevented from flowing backwards, the high-rise room temperature and the air conditioner load are reduced, indoor natural lighting is guaranteed, the building thermal environment is optimized, and building ventilation thermal load efficient regulation and control are achieved.

The invention relates to a method and system for machining small holes in a transparent hard and brittle material and an intelligent terminal, and relates to the technical field of laser machining. Searching a corresponding concentric circumference scanning track from a preset track database based on the punching diameter; acquiring laser parameters and galvanometer parameters; searching a corresponding period distribution diagram from a preset parameter database based on the galvanometer parameters; calculating pulse interval time based on the pulse repetition frequency; determining jump time based on the pulse interval time and the period distribution diagram; adjusting the laser parameter based on the jump time to obtain an actual laser parameter; and performing a vector dotting process on the perforated material. The laser drilling device has the advantages that the jumping time is set, so that each pulse falls within the moving stable period of the galvanometer, and the laser drilling stability is improved.

The application discloses an indoor and outdoor seamless connection positioning switching method and system based on trajectory prediction and fingerprint verification, and the method comprises the following steps: S1, a virtual simulation environment is established at the building entrance, random trajectories and reward guide trajectories are generated, and a trajectory database is established; a fingerprint database is established; S2, feature extraction is carried out based on the trajectory database, and a support vector machine (SVM) model is used for binary classification training; S3, a sliding window is set, real-time pedestrian trajectory data is input into the SVM model for sliding prediction, and it is judged whether the SVM is continuously triggered in the window; S4, multi-modal fingerprint matching is started, and it is judged whether the fingerprint matching is successful; and S5, switching from a GNSS positioning mode to an indoor positioning mode is executed, and indoor and outdoor seamless connection positioning switching is realized.

The present disclosure relates to a flight trajectory prediction method of an aircraft, and relates to the technical field of hypersonic aircrafts, and the method comprises the following steps: determining a raw trajectory database of a hypersonic aircraft under different initial states and different flight control laws based on a motion equation; training a network model to be trained based on the raw trajectory database to obtain a current trajectory prediction model; determining a trajectory prediction model to be migrated from the current trajectory prediction model according to a target flight trajectory of an aircraft to be predicted and a raw flight trajectory in the raw trajectory database, and migrating model parameters in the trajectory prediction model to be migrated to a trajectory prediction model to be corrected; performing parameter correction on the trajectory prediction model to be corrected based on the target flight trajectory to obtain a target trajectory prediction model, and predicting a flight trajectory of the aircraft to be predicted based on the target trajectory prediction model. The present disclosure improves the accuracy of the predicted flight estimation.

This invention discloses a multi-target flight trajectory recognition device based on dual-channel pre-training, comprising a flight trajectory database, an aircraft radiation source receiver, and a host computer connected to each other. The database stores flight trajectory signals of different types of aircraft. The host computer includes three modules: self-supervised pre-training, supervised training, and flight trajectory recognition. The data in the database is used to perform self-supervised pre-training and supervised training on the flight trajectory recognition model, and the trained model is stored in the flight trajectory recognition module. The receiver receives external flight trajectory signals and transmits them to the flight trajectory recognition module of the host computer for recognition. This invention innovatively introduces a self-supervised pre-training stage to pre-train the flight trajectory recognition model to fully explore its inherent features and enhance its anti-interference capability. Simultaneously, it analyzes the flight trajectory signal from both the time and frequency domains to maximize the extraction of multi-domain and multi-dimensional information from the signal, significantly improving the accuracy of flight trajectory recognition.

An embodiment of the present invention discloses a method and system for visual management of bus travel combined with positioning technology. The method includes: obtaining real-time vehicle positioning data of a target vehicle, extracting task execution information associated with the real-time vehicle positioning data, performing dynamic trajectory fitting processing on the real-time vehicle positioning data, generating a driving trajectory map that matches the task execution information, performing multi-dimensional analysis on the driving trajectory map based on preset task rules, and determining driving state characteristics and task completion indicators of the target vehicle; performing spatiotemporal correlation mapping on the driving state characteristics, task completion indicators, and the driving trajectory map to generate a visual dynamic management interface; in the running state of the visual dynamic management interface, in response to a tracing instruction triggered by a management terminal, calling a historical trajectory database to perform backtracking optimization processing on the driving trajectory map, and outputting management feedback data including abnormal event annotations and path comparison results.

This invention discloses a safety monitoring method for operating equipment, applied to an automated warehouse system, which includes a Warehouse Management System (WMS), Automated Guided Vehicles (AGVs), and a guidance and positioning device. The method includes: collecting data on AGV operating status, warehouse environment, WMS tasks, and the mechanical status of the guidance and positioning device; constructing a standard path model based on a historical trajectory database and calculating real-time trajectory deviation; constructing a multi-dimensional risk assessment model to comprehensively calculate the risks of the AGV itself, the environment, the task, and the guidance and positioning device; classifying risk levels according to the comprehensive risk value, implementing differentiated early warning and response measures, and dynamically adjusting AGV task allocation in conjunction with the WMS system. This invention also integrates an automatic monitoring function for near-expiry goods, enabling near-expiry identification, AGV dispatching, and automatic sorting and disposal. This invention achieves comprehensive, three-dimensional monitoring from equipment safety to cargo safety, improving the safety and intelligence level of warehouse operations.

This invention provides a vehicle trajectory extraction method based on the complementarity of LiDAR and video technologies, comprising: constructing an integrated radar device; identifying key targets based on video acquisition data collected by a high-definition video device, and constructing a basic image information database through image optimization and data filtering; converting radar data into readable road and vehicle information based on the LiDAR acquisition device, and constructing an object and behavior database for target identification; fusing the object and behavior database and the basic image information database, and constructing a driving behavior detection dataset to achieve road element calibration, vehicle element calibration, and behavior parameter calibration; identifying and tracking the calibrated objects, thereby outputting a trajectory database. This invention can provide a data foundation for road traffic operation and risk identification, and provide a scientific basis for traffic management departments to evaluate and manage road traffic.

The application discloses a trajectory database creation method and device, a query method, a vehicle, a medium and equipment, and belongs to the field of data processing. The method comprises the following steps: constructing an index based on a spatial position for each road center point in a base map, obtaining first related field information about each road center point, and generating a map database; constructing an index based on a spatial position for each trajectory point, and obtaining second related field information; binding each trajectory point in each trajectory with a road center point in the base map, and filling the second related field information of each trajectory point based on the map database; and generating a trajectory database by using the second related field information of each trajectory point and the first related field information in the map database. According to the application, the content in the trajectory database can be changed according to specified conditions, without the need to read into memory or regenerate the database, so that time is saved, the result can be reused, and the features of roads or trajectories can be quickly extracted according to positions.

The application discloses a trajectory similarity analysis method based on trajectory compression and clustering. Firstly, N reference trajectories are compressed, and some trajectory data is removed within a certain error range, so as to facilitate subsequent processing and analysis. Secondly, the range of trajectory segments participating in calculation is reduced by intercepting common trajectories and angle pre-judgment, and the reference trajectory data is clustered offline. When calculating the similarity matrix, the similarity of each two trajectories only needs to be calculated once within the error range to reduce the complexity. Finally, the representative trajectory of each cluster is found, the similarity of the to-be-matched trajectory and the representative trajectory of each cluster is calculated, and whether the to-be-matched trajectory exists in the reference trajectory database is judged. If the to-be-matched trajectory exists in the reference trajectory database, the trajectory similarity of the to-be-matched trajectory and each reference trajectory of the corresponding cluster is calculated, so that it is determined that the actual trajectory is similar to which reference trajectory, and a similarity result is obtained.

The invention relates to a mechanical arm trajectory planning method and device based on reinforcement learning, equipment and a medium. The method comprises the following steps: acquiring a real-time pose parameter, a target pose parameter and a state transition parameter of the mechanical arm; on the basis of the real-time pose parameter, the state transition parameter and the target pose parameter, transferable trajectory information is identified from a historical trajectory database; environment obstacle distribution label information of the mechanical arm is obtained, and a trajectory planning reinforcement learning model of the mechanical arm is selected based on the environment obstacle distribution label information; and the transferable trajectory information is input into a trajectory planning reinforcement learning model matched with the environment obstacle distribution label information, and real-time trajectory information of the mechanical arm is generated. By the adoption of the method, the defects of traditional trajectory planning in dynamic environment adaptability, calculation efficiency and generalization ability can be overcome by fusing real-time sensing, historical data migration and dynamic model matching, and efficient and safe operation of the mechanical arm in an unstructured scene can be achieved.

Disclosed is a trajectory design method for online height adjustment of a cruise section of a supersonic aircraft, comprising the following steps: dividing the cruise height into a climbing cruise height section and. a descending cruise height section according to the cruise height range of the supersonic aircraft, and obtaining a trajectory database; performing normalization processing on the height instruction of any flight profile to obtain a new trajectory database; when the supersonic aircraft receives a target cruise height instruction, calling the new trajectory database, and obtaining a ballistic trajectory voyage, a ballistic trajectory dip angle instruction and an attack angle instruction under the target cruise height instruction; obtaining all ballistic trajectory instructions of the flight. profile corresponding“ to the target cruise height. The present invention solves the problem that in the prior art, the ballistic trajectory instruction for adjusting the cruise height cannot be rapidly and accurately generated.

This invention discloses a ball mill filling rate calibration method based on EDEM (Digital Emission Modeling). The method includes the following steps: S1: Determine simulation parameters based on actual operating conditions and construct a simulation environment in EDEM software; S2: Adjust the grinding conditions of the ball mill and conduct simulation experiments under different grinding conditions; statistically analyze the changes in the grinding media trajectory at the overflow weir baffle at the ball mill discharge port under different grinding conditions, and construct a grinding media trajectory database; S3: Based on real-time images of the grinding media trajectory at the overflow weir baffle at the ball mill discharge port collected on-site, and combined with the current operating conditions, compare the grinding media trajectory images under different operating conditions in the grinding media trajectory database, and calibrate to obtain the current internal filling rate of the ball mill. This invention enables high-precision, real-time monitoring of the internal filling rate of a ball mill operating with mixed grinding media, which is beneficial for maintaining the continuous stability of the production process, thereby promoting the improvement of overall efficiency and product quality.

The application relates to the technical field of logistics tracking, in particular to a shipping logistics tracking method.The method comprises the following steps: detecting a signal interruption time point and a signal interruption duration to obtain a signal interruption interval; according to the signal interruption interval, extracting a last recorded sailing speed, direction and position of a ship before interruption from a historical sailing track database to generate an initial state vector; predicting a future transportation path of the ship through a corrected position sequence to generate a predicted path set; according to the predicted path set, constructing a ship motion track in a three-dimensional virtual scene to generate a visual track model; combining a confidence degree of the calculated position sequence to obtain a decision support view; and through the decision support view, updating a port scheduling plan in real time to generate an optimized loading and unloading time sequence.The application solves the problem of low calculation accuracy of the position of the ship in a complex scene with signal interruption, and improves the position accuracy of the ship and the prediction accuracy of the future transportation path.

The present application relates to the technical field of data management and tracking, and particularly relates to a file trajectory tracking method and system based on a knowledge graph, which comprises four modules: a data acquisition module is responsible for collecting detailed information of files, users and PCs; a knowledge graph construction module creates a knowledge graph containing user nodes, file nodes and PC nodes according to the collected data, and establishes a relationship edge between the nodes according to the file operation behavior, labels the operation type, time and PC information, and also uses spectral graph convolution operation to optimize the node feature representation; a trajectory recording module is responsible for recording and storing newly generated operation behavior information into a trajectory database; after receiving a tracking request, a trajectory tracking module pre-processes the knowledge graph through spatial graph convolution operation, aggregates related operation information to update the node representation, and then accurately traces the movement trajectory of the file in the knowledge graph; the technology provides strong support for the fields of file management, security audit and the like, and has a wide application prospect and important practical value.

The application provides a trajectory privacy protection method based on community division, and the method comprises the following steps: obtaining corresponding semantic attributes by inversely address coding the spatial attributes of position points in an original trajectory database, and constructing a position semantic classification tree; screening sensitive positions, and constructing a sensitive position semantic attribute table; abstracting the sensitive positions into sensitive nodes from the sensitive positions, screening neighbor nodes closely connected with the sensitive nodes according to a modularity increment and semantic similarity, and constructing a sensitive node local community and a replacement position candidate table; selecting nodes with high matching degrees from the replacement position candidate table as replacement nodes, and reconstructing reasonable trajectories. In the trajectory database to-be-published scene, the application provides trajectory semantic privacy protection based on local community division, reduces the workload of trajectory reconstruction, can resist background knowledge attacks, effectively protects sensitive private information of users, and better preserves the availability of trajectory data.

The present application relates to the technical field of building thermal environment regulation, and discloses a building ventilation thermal load regulation method and system based on thermal plume prediction, which comprises the following steps: constructing a curtain wall surface three-dimensional coordinate system and a thermal state temperature atlas, and obtaining a current thermal plume trajectory line; combining a historical thermal plume trajectory database to perform similar trajectory matching and predict a thermal plume development path; based on the prediction result, establishing a floor load grading sequence and a neighboring layer feedforward temperature compensation relationship, and implementing time sequence misplacement dimming through spiral progressive control; and after time sequence misplacement dimming, performing thermal-light coupling feedback correction; the present application can effectively inhibit thermal air backflow, reduce high-rise room temperature and air conditioning load, protect indoor natural lighting, optimize building thermal environment, and realize efficient regulation of building ventilation thermal load.

The invention discloses a three-axis turntable non-iteration synchronous trajectory planning method and system based on a global time reference, and belongs to the technical field of turntable control, and the method comprises the following steps: S1, constructing a standard motion trajectory database; s2, performing first trajectory planning based on position-driven scaling on the three-axis turntable according to the target position; s3, determining a global time reference; s4, trajectory reconstruction based on time driving is carried out on the non-reference axis; s5, non-reference axis parameter calculation; s6, the relation between the track position of the three-axis turntable and time is obtained; s7, performing trajectory smoothing processing on a position curve obtained according to the relationship between the trajectory position of the three-axis turntable and the time; through the method, the technical problem that the three-axis turntable strictly and synchronously arrives at the target position under the constraint of independent dynamics is solved, calculation is simple, iterative operation is not needed, and the track is smooth and executable.

The present application relates to the technical field of RFID smart labels, and discloses a method and system for printing RFID smart labels for positioning and tracking, the method comprising: inputting the RFID tag radio frequency signal into a conditional variational autoencoder for convolution processing and attention weighting to obtain a global feature vector of the RFID tag; establishing a hierarchical sensor node network to perform multi-dimensional acquisition of environmental parameters to obtain an environmental spatiotemporal dataset; inputting the RFID tag global feature vector and the environmental spatiotemporal dataset into a deep fusion network for feature fusion to obtain multimodal fusion features; performing sequence modeling based on the multimodal fusion features to obtain an item trajectory prediction model; applying the item trajectory prediction model to a target area grid coordinate system to perform density distribution calculation to obtain a real-time item positioning heat map and a trajectory database, thereby establishing an efficient item positioning heat map generation and trajectory data management mechanism, which facilitates the system to perform real-time location visualization and historical trajectory query.