517 results about "Route generation" patented technology

The invention discloses a welding robot system based on body sensing and an intelligent route generation method, and belongs to the technical field of robot welding, the welding robot system comprises a body sensing module, a fusion processing module, an intelligent route generation module and an execution feedback module, the body sensing module collects multi-modal data in parallel through multiple sensing units and preprocesses the multi-modal data; the fusion processing module combines a three-dimensional attention mechanism and digital twinning mapping to realize deep feature fusion, the intelligent route generation module outputs an adaptive path through planning-optimization-layered correction, and the execution feedback module constructs a full-closed-loop dynamic adjustment mechanism. By the adoption of the system and method, the problems that physical and virtual scenes are not synchronous, dynamic interference response is insufficient and path adaptability is poor in complex welding seam welding are accurately solved, and the welding path fitting degree and quality stability are remarkably improved.

The invention discloses a product process route generation method and device based on a bill of materials, a medium and equipment, and belongs to the technical field of computer intelligence. The method comprises the following steps: acquiring an engineering drawing of a to-be-processed product; extracting a bill of material of the to-be-processed product according to the engineering drawing of the to-be-processed product; according to the bill of material of the to-be-processed product, establishing association relationship data between parts related to the to-be-processed product; and according to the incidence relation data among the parts related to the to-be-processed product and the existing process database, a preliminary process route of the to-be-processed product is generated through operation. The device, the medium and the equipment can be used for realizing the method. By integrating the functions of engineering drawing analysis, BOM automatic generation, process database matching, process route intelligent planning and optimization and the like, full-automatic conversion from a product design drawing to a production process route is realized, and powerful support is provided for digital transformation of enterprises in the manufacturing industry.

The invention belongs to the technical field of unmanned aerial vehicles, and particularly provides a transformer substation unmanned aerial vehicle autonomous inspection route generation method based on an optimization A star algorithm. According to the method, a heuristic function is improved, the Euclidean distance between a target point and a current node is comprehensively considered, obstacle avoidance processing is carried out, and a safer and more efficient inspection route is generated. And by calculating the total cost of each node, the node with the minimum total cost is selected for expansion until a target node is found. According to the improved A star algorithm, the unmanned aerial vehicle can be effectively prevented from flying into an obstacle dense area, the obstacle keeps a safe distance, and the flying safety is remarkably improved. The distance and the obstacle density are comprehensively considered, the generated inspection route is smoother and more efficient, and unnecessary flight distance and energy consumption are reduced.

The invention discloses a substation unmanned aerial vehicle inspection dynamic route planning method and device. The method comprises the steps of collecting and constructing a substation 3DGS model, optimizing details, dividing areas, recognizing equipment parts, inversely calculating waypoint parameters, planning waypoints of a safety channel and a flight channel, generating a basic model data set, and dynamically generating an inspection route in combination with tasks. The device comprises a model construction module, a region division module and the like. On the basis of a 3DGS model and equipment part identification, through a multi-level waypoint system and a dynamic planning algorithm, full-process automation from model construction to route generation is achieved, it is ensured that unmanned aerial vehicle routing inspection is safe and efficient, equipment updating and task changing are adapted, the problems that traditional two-dimensional planning is insufficient in precision, and static route flexibility is poor are solved, and the unmanned aerial vehicle routing inspection efficiency is improved. And the automation and intelligence level of substation inspection is improved.

To enable a route that satisfies a request of a user who operates an unmanned aerial vehicle to be presented in a style according to a predetermined format, the present invention involves: acquiring departure location information indicating the departure location of an unmanned aerial vehicle and destination location information indicating the destination location thereof; generating a plurality of candidate routes from the departure location to destination location of the unmanned aerial vehicle; executing processing for outputting route information indicating candidate routes that satisfy a predetermined condition among the plurality of generated candidate routes; and outputting the route information in a style that enables output of the routes, which are indicated by the candidate routes that satisfy the predetermined condition, according to the predetermined format.

The invention provides a motion route generation method and device, computing equipment and a computer readable storage medium. The motion route generation method comprises the steps that a target graph drawn by a user at the front end is acquired; segmenting at least one graphic instance from the target graph based on the graphic features of the target graph by using a graphic instance segmentation model; key points are extracted from the at least one graph instance, and a graph path of the target graph is generated based on a graph structure with the key points as vertexes and connection between the key points as edges; and performing matching based on the graph path of the target graph and the road set of the target map, and generating a motion route of the target graph on the target map. The exercise route is generated in an interaction mode of front-end drawing, the exercise route is generated visually and has high interestingness, the spatial structure of a graph is accurately restored at the instance level and the route level, it is ensured that the generated exercise route conforms to the drawing intention of a user, and the accuracy of exercise route generation is improved.

The invention relates to the technical field of intelligent route generation, in particular to a multi-modal large model-based route generation method and system and a storage medium, and the multi-modal large model-based route generation method provided by the invention comprises the following steps: extracting target information corresponding to an obtained webpage link; a target webpage corresponding to the webpage link comprises tourism information of at least two geographic points; determining description information and geographic information corresponding to all target geographic points in the target information based on a multi-modal large model; performing structured processing on the description information and the geographic information of all the target geographic points to obtain structured information; and automatically generating an editable route according to the structured information based on the multi-modal large model, and generating a route text representation and / or a route audio representation of the editable route. The webpage content corresponding to the webpage link is extracted and processed through the multi-modal large model, so that the tourism route of the place where the user wants to go is made by directly utilizing the tourism strategy on the platform.

The invention discloses a low-drift laser scanning control method and system based on dynamic error compensation, relates to the technical field of laser scanning control, and aims to solve the drift problem in the laser scanning process and improve the scanning precision. The system comprises a system initialization and calibration module, a data acquisition and storage module, an error modeling module, a route planning and correction module and a real-time compensation and closed-loop optimization module, wherein the error modeling module and the route planning and correction module are key modules. The error modeling module comprises a key route screening unit and a data preprocessing unit, and is responsible for constructing a space-time joint error correction model; the route planning and correction module comprises an initial route generation unit, an error prediction unit and the like, and dynamic correction of a pre-planned route is achieved. According to the system, real-time compensation and closed-loop optimization are achieved through cooperation of all the modules in combination with a dynamic error compensation algorithm, scanning drift is effectively reduced, low-drift and high-precision laser scanning is guaranteed, and meanwhile follow-up scanning precision is optimized.

The invention provides a demand response bus intelligent scheduling method and system driven by real-time data. A demand response bus intelligent scheduling method driven by real-time data comprises the following steps: S1, collecting and fusing multi-source data in real time, and constructing a dynamic data set; s2, carrying out short-time demand prediction and clustering analysis based on LSTM and DBSCAN; s3, dynamic service area division and greedy algorithm line generation; s4, elastic vehicle scheduling based on combination of mixed integer programming and a simulated annealing algorithm; s5, dynamically adjusting the real-time ticket price driven by the supply and demand game model; s6, passenger personalized service matching is achieved through a collaborative filtering algorithm; s7, performing multi-target simulation verification on the digital twin platform; and S8, reinforcing a learning-driven dynamic feedback optimization mechanism. According to the real-time data-driven demand response bus intelligent scheduling method and system provided by the invention, the operation efficiency, the passenger satisfaction degree and the enterprise benefit of the demand response type customized bus can be remarkably improved, and the method and the system are suitable for construction of an urban intelligent bus system and have remarkable advantages.

The invention discloses a waypoint file-oriented unmanned aerial vehicle flight route generation method, which comprises the following steps of: acquiring a waypoint file comprising a waypoint to be flied of an unmanned aerial vehicle, analyzing the waypoint file to obtain latitude and longitude information and flight height information of the waypoint to be flied, and generating a flight route of the unmanned aerial vehicle; the latitude and longitude information and the flight height information of the waypoint to be flied are converted into three-dimensional space information under a Cartesian coordinate system, the three-dimensional space information of the waypoint to be flied is obtained, a waypoint sequence is generated by using a self-organizing mapping neural network model or in a Q learning mode, and a flight route file of the unmanned aerial vehicle is generated based on the waypoint sequence. According to the invention, automation of unmanned aerial vehicle flight route generation is realized.

The systems and processes described herein can provide dynamic and realistic route generation based on actual route data within the game environment. The system provides for generating a route database for use with a sports simulation game application. The present disclosure also provides for generation of routes during runtime of the game application. The route generation system can help address the problem of generating realistic and lifelike routes based on real life movements of athletes.

The embodiment of the invention provides a route generation method and device in a game, electronic equipment and a storage medium, and relates to the technical field of game interaction.The method comprises the steps that a game task corresponding to a virtual character is determined, and the game task is used for indicating the virtual character to collect virtual objects in a game scene; displaying a game map corresponding to the game scene, and displaying an object mark at a refreshing position corresponding to the virtual object on the game map; in response to a route editing operation acting on the game map, determining a target object mark according to an operation track corresponding to the route editing operation and the distribution of the object mark in the game map, and displaying a tracking route for tracking a target virtual object corresponding to the target object mark, therefore, the operation process of the player is effectively reduced through a convenient triggering mode, meanwhile, the virtual object is navigated based on the tracking route, the tracking efficiency can be effectively improved, and the game experience of the player is guaranteed.

The invention relates to the technical field of tourism big data, in particular to a multi-modal tourism route personalized generation method and system based on deep learning, and the method comprises the steps: constructing and incrementally updating a tourism knowledge hypergraph, extracting hidden time sequence preference and cross-entity cooperation signals of a user through a space-time perception graph neural network, and generating an interest drift model; performing deep fusion and intention analysis on the interest drift model and a context signal sensed in real time, and decoding to generate a candidate route concept skeleton by introducing an attention competition mechanism; and carrying out multi-dimensional simulation deduction and adaptability evaluation on the candidate route concept skeleton, carrying out iterative optimization through a reinforcement learning strategy based on deduction feedback, and finally outputting a personalized tourist route with optimal robustness, so that the robust tourist route which is highly personalized and adapts to environmental changes can be generated, and the robustness of the tourist route is improved. Therefore, recommendation accuracy and user experience are improved.

The invention discloses an unmanned aerial vehicle autonomous inspection system and method based on AI identification, the system comprises an unmanned aerial vehicle body carrying a high-power optical zoom lens, an edge computing device and a function module, and the autonomous inspection of a power distribution tower is realized by fusing front-end AI identification and edge computing technologies. A Yolo structure is adopted to construct a lightweight tower recognition model, a dynamic route planning module is combined to realize single-point reference route generation and three obstacle crossing modes, and real-time coordinate correction in an RTK-free environment is supported. The edge computing device integrates a semi-supervised learning engine and a multi-sensor data fusion module, meets miniaturization design, and supports breakpoint continuous flight control and precise landing. The method covers automatic route generation, visual tracking, zoom cooperative control and self-adaptive task scheduling, solves the problems that a traditional unmanned aerial vehicle depends on manual operation, the data quality is poor and the efficiency is low, realizes whole-course automation of tower inspection in a complex environment, and is high in inspection efficiency, and the picture definition reaches the pin level.

The invention provides a multi-channel adaptive communication controller based on an STM32 platform. The multi-channel adaptive communication controller comprises a user interaction module, a topology sensing module, a subnet division module, a channel sensing module, a route generation module, a data forwarding module and a working state monitoring module. The user interaction module is used for realizing interaction between a user and the communication controller; the topology sensing module is used for sensing the topology structure of a network where the communication controller is located in real time; if the communication controller automatically divides the subnets, the subnet dividing module divides the subnets according to the topological structure of the network acquired by the topology sensing module; the channel sensing module is used for monitoring the communication quality of a channel currently used by a network in real time; the data forwarding module is used for realizing a routing forwarding function; the working state monitoring module is used for monitoring the working state of the communication controller. Based on the topology sensing function, when the network topology changes, the routing can be adjusted in time, network delay and network congestion are avoided, meanwhile, a basis is provided for subnet division, and the workload of subnet configuration of a user is relieved.

The invention provides an end-station cooperative wireless heterogeneous network global route generation method and system. Firstly, in a wireless heterogeneous network composed of 5G and an ad-hoc network, a terminal user carries out fusion network access, and network resource scheduling of the combined ad-hoc network and a 5G base station can be carried out, so that user requirements are met; then, the fusion of the 5G network and the Ad Hoc network is realized through a terminal side gateway discovery mechanism; and finally, on the basis of a hybrid routing protocol framework, table-driven routing and on-demand routing are combined by combining the characteristics of a 5G ad hoc network and an Ad hoc network, and a hybrid routing mechanism in which local switching at a terminal side and global diffusion at a base station side are combined is adopted. According to the mechanism, local topology information mastered by a terminal node is utilized, in combination with sensed factors such as loads of adjacent nodes, intra-domain link information is diffused in time, intra-domain routing is formed, and therefore unnecessary overhead caused by repeated path finding is avoided.

A process route generation system and a process route generation method. The process route generation system comprises a processor and a storage device. The processor is configured to execute a plurality of modules. A regression analysis module is used for executing a regression algorithm on the basis of demand data to obtain process parameters and material information. An association analysis module is used for executing association analysis on the basis of the process parameters and the material information to respectively obtain first process information and second process information. The association analysis module comprises a process and process association module. The process and process association module is used for obtaining an associated process route on the basis of one of the first process information and the second process information. A deep learning module is used for generating a candidate process route on the basis of the demand data. The processor compares the associated process route and the candidate process route to generate a recommended process route.

The systems and processes described herein can provide dynamic and realistic route generation based on actual route data within the game environment. The system provides for generating a route database for use with a sports simulation game application. The present disclosure also provides for generation of routes during runtime of the game application. The route generation system can help address the problem of generating realistic and lifelike routes based on real life movements of athletes.

The invention discloses a low-altitude air route generation method, device and equipment and a storage medium, and belongs to the technical field of low-altitude flight. The method comprises the following steps: acquiring a three-dimensional space model and population density distribution of a target area; determining the path cost of each voxel based on the population density of each voxel at the ground projection in the three-dimensional space model, the obstacle state of each voxel and the distance between each voxel and the target facility; and taking a first position in the three-dimensional space model as a starting point, taking a second position in the three-dimensional space model as an end point, and taking the lowest sum of the path costs of voxels passing between the first position and the second position as a target to carry out path planning so as to obtain a target low-altitude airway. According to the scheme, the low-altitude aircraft can be far away from a densely populated area, avoids obstacles as much as possible and flies according to the instruction of the target facility in the target area, and meanwhile the flight efficiency and safety are guaranteed.

The invention discloses a flight management equipment route intelligent generation method, and belongs to the technical field of flight control, and the method comprises the following steps: 1, a basic route is generated through flight management equipment, and the basis conditions for generating the basic route at least comprise a takeoff airport, a landing airport, a flight direction, a civil aviation route and a navigation database; step 2, optimizing the basic route by using a deep learning network model: obtaining meteorological information and air traffic control information corresponding to the basic route according to historical route generation experience and correlation learning rules in combination with a network, optimizing and adjusting the route, and generating a flight route meeting safety requirements; and 3, completing three-dimensional route three-dimensional obstacle avoidance by using global high-precision terrain elevation data. According to the invention, the efficiency and accuracy of route input and the efficiency and safety of flight management are improved.

To provide a travel route generation device capable of easily generating a travel route, a travel route generation method, a travel route generation program and an automation processing system.SOLUTION: A travel route generation device 2A comprises: a positional information acquisition section 21 which acquires positional information of a plurality of marks determining a work range of a construction machine; and a travel route generation section 22 which generates a travel route of the construction machine on the basis of the acquired positional information. It is preferable that the travel route generation section 22 generates the travel route in a travel range separated inwardly from the work range by a predetermined amount. It is preferable that the travel route generation section 22 sets route points at predetermined intervals on the travel route.SELECTED DRAWING: Figure 3

The invention provides an unmanned aerial vehicle flight strip route generation planning method, system and device and a storage medium, and the method comprises the steps: obtaining each path point Pi in an initial route, and obtaining a direction vector of each flight segment PiPi + 1; respectively clockwise and anticlockwise rotating the direction vector by 90 degrees to obtain a normal vector and a unit normal vector, and according to the unit normal vector and an external expansion distance d, performing external expansion on each leg PiPi + 1 in two external expansion directions to respectively obtain first external expansion boundaries AiAi + 1 'and BiBi + 1'; judging whether an intersection point exists between two adjacent external expansion boundaries, and if so, calculating the coordinates of the intersection point and taking the coordinates as a new boundary point; if not, two adjacent boundary points are connected to generate a new external expansion boundary, and a final air strip is obtained; air route data are uploaded, the air route data comprise a plurality of parallel air routes parallel to the initial air route, and the parallel air routes are connected end to end to obtain a target air route. The air strip route generation planning method is simple in calculation, only depends on the basic vector operation library, and is high in universality.

The invention provides an unmanned aerial vehicle route generation method and system and an aircraft. The method comprises the following steps: firstly, obtaining a three-dimensional modeling graph corresponding to a power station based on a type parameter of the power station; determining preset power characteristic data of a power station in the three-dimensional modeling graph, and constructing an equipment area corresponding to the power station based on the preset power characteristic data; then, based on a division rule, dividing an interval region in the equipment region; dividing a plurality of operation areas in the interval area based on the function type of the power equipment in the interval area; then determining a shooting point location of the unmanned aerial vehicle according to the type corresponding to the power equipment in the operation area, flight control parameters of the unmanned aerial vehicle and real-time shooting content; and finally generating the route of the unmanned aerial vehicle based on the shooting point. According to the method, the inspection process of the power station can be visually simulated, the route of the unmanned aerial vehicle can be quickly planned through a region division mode, and the safety of the unmanned aerial vehicle during operation can be ensured through region division.

The embodiment of the invention provides an unmanned ship measurement route generation algorithm. The algorithm comprises the following steps: reading task parameters, USV state information, tracking point information and measurement time point information from related files; and in the process of sailing to the target point, measuring the tracking target according to the number of times of measurement and the measurement time, and generating a next target waypoint until reaching the sailing target point. A set of relatively complete track calculation program and application is designed, the measurement route can be reasonably planned according to the characteristics of the influence of objective environmental factors such as the measurement time, the measurement speed and the target threat coefficient required by a measurement task, and measurement equipment and test participating resources are effectively utilized. The main function of the method is that task parameters, USV state information, tracking target information and measurement opportunity point information are combined, calculation is carried out through an algorithm, a target point, namely a measurement route and a measurement opportunity state for guiding USV navigation are obtained, and the target point and the measurement opportunity state are output in a specified format.

The embodiment of the invention provides an unmanned aerial vehicle patrol route generation method and equipment, and relates to the technical field related to unmanned aerial vehicles. The method comprises the following steps: identifying a three-dimensional space model of a target substation, and obtaining a key node list; the key node list comprises N key patrol points, and the key patrol points represent equipment points needing to be patrolled in the target substation; acquiring an obstacle list; generating a first route by using an A star algorithm and a preset evaluation function according to the starting point, the terminal point, the key node list and the obstacle list of the unmanned aerial vehicle; the preset evaluation function is used for describing the total cost of each waypoint in the first route, the preset evaluation function comprises a dynamic weight factor, and the dynamic weight factor is used for balancing the total cost of the waypoints based on the actual distance between the key patrol point and the unmanned aerial vehicle and the corresponding minimum safety distance; and optimizing the first route to obtain a target route. The method is used for achieving the effect of improving the route planning efficiency and the route safety.

An embodiment a computer-implemented method for setting an autonomous parking route includes generating an autonomous parking route by a first route generation method using a parking space and a surrounding space; generating an autonomous parking route by a second route generation method using a cloud center and a pre-trained spatial recognition deep learning model; generating an autonomous parking route by a third route generation method using a pre-trained route generation deep learning model installed in a controller of a vehicle; performing virtual driving along the routes generated by the first, second, and third route generation methods; and determining set routes in accordance with a preset route priority in the vehicle performing autonomous parking for passed routes when the virtual driving is passed.

The invention discloses an unmanned aerial vehicle route generation system which comprises a generation system body, the generation system body comprises a three-dimensional terrain modeling module, a multi-source sensor fusion module, an intelligent task planning module, a dynamic obstacle avoidance and safety module and a man-machine interaction and data management module, and the three-dimensional terrain modeling module is based on ASTER GDEM and DSM elevation data; the multi-source sensor fusion module is used for generating a three-dimensional digital elevation model (DEM) of an operation area, centimeter-level terrain matching is realized by combining an RTK positioning technology, and the multi-source sensor fusion module is used for integrating a laser radar, a visible light camera and an infrared sensor, collecting features of ground objects such as towers and vegetation in real time, and is used for dynamically adjusting an air route. The optimal route is automatically generated through an intelligent algorithm, manual intervention is reduced, route planning efficiency is remarkably improved, meanwhile, terrain adaptability can be enhanced, a terrain following algorithm is adopted, the flight height is automatically adjusted according to topographic relief, and accuracy and integrity of surveying and mapping data are ensured.

The invention discloses an unmanned aerial vehicle route generation method and device. The method comprises the following steps: determining object information of a target object; determining a line direction for the target object, and determining a waypoint generation area according to the line direction; determining an object type of a first object of the target object; the object type is determined according to the relative position relation between the first object and the target object; the first object is a core component for realizing electrical insulation between the target object and the second object; the second object has a power transmission function; the first end of the first object is connected with the target object; the second end of the first object is connected with the second object; determining a waypoint in the waypoint generation area based on a target point on a first object of the target object, the object information of the target object and the object type of the first object of the target object; and generating an unmanned aerial vehicle route according to the waypoints. The safety of the unmanned aerial vehicle in the flight process is guaranteed, and the inspection efficiency of the unmanned aerial vehicle is improved.

The invention relates to the technical field of railway construction, in particular to a method, system and equipment for generating a route in a tight slope area, a medium and a program product. The method comprises the following steps: obtaining a road line selection design standard and a DEM grid elevation file of a research area; determining intelligent search parameters according to a road line selection design standard; generating a global feasible path tree from the starting point to the ending point; sequentially backtracking path nodes from an end point to a starting point, and sorting out a feasible three-dimensional path set; and generating a corresponding plane and longitudinal plane route scheme by using the three-dimensional node coordinates of the single path. According to the method, a global feasible path tree from the starting point to the ending point is constructed through a multi-way tree line search algorithm, a research area does not need to be traversed, the data processing amount is reduced, the scheme generation efficiency is improved, and generation of a feasible scheme can be ensured by constraining a road line selection design standard.

The invention provides a flexible bus route planning method based on user travel behavior prediction. The invention discloses a flexible bus route planning method based on user travel behavior prediction. The method comprises the following steps: S1, collecting and integrating multi-source travel data; s2, user behavior analysis and demand prediction; s3, dynamic service area division; s4, generating and optimizing a flexible line; s5, performing real-time dynamic scheduling and adjustment; s6, ticket price dynamic generation and feedback; and S7, service effect evaluation and iterative optimization. The flexible bus route planning method based on user travel behavior prediction provided by the invention has the advantages of being capable of obtaining balance between global optimum and calculation efficiency, reducing the vehicle empty driving rate, improving the route operation cost recovery rate, quickly responding to newly added demands and shortening the average waiting time of passengers.