292 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 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.

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 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.

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 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 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.

The invention discloses a multi-objective path optimization system and method for hazardous chemical substance road transportation, and the system comprises a data obtaining module which is used for obtaining hazardous chemical substance transportation demand information and road network information, and generating a basic data set; the multi-objective optimization module is used for carrying out collaborative optimization of path planning and risk management and control based on the basic data set to generate an optimization scheme; and the path generation module is used for generating a final transportation path, a time arrangement and an emergency plan based on the optimization scheme, and performing dynamic adjustment according to the real-time road condition. The safety, reliability and efficiency of dangerous chemical substance road transportation are remarkably improved, potential risk exposure is reduced, and comprehensive technical support is provided for dangerous chemical substance transportation management.

The embodiment of the invention discloses a route generation method, a route display method and a corresponding device, and the main technical scheme comprises the steps that a server side responds to an order starting point and an order ending point sent by a client of a passenger user, determines a first route from the order starting point to the order ending point, and then responds to the start of an order travel; an actual location of the client of the driver user and / or the client of the passenger user is determined. And if the actual position is not consistent with the order starting point, planning a second route from the actual position to the order ending point, splicing the first route and the second route to obtain a target navigation route from the actual position to the order ending point, and sending the target navigation route to the client of the driver user and / or the client of the passenger user. The target navigation route is planned and spliced in a reasonable mode, the actual position of a driver user is considered, the difference between the actual target navigation route and the estimated first route is reduced, and the experience feeling of a passenger user is improved.

The invention discloses a method for generating an unmanned aerial vehicle autonomous inspection oblique photography route, and relates to the technical field of unmanned aerial vehicle autonomous control, and the method comprises the steps: setting route parameters: obtaining and processing target region data: obtaining an imported target region boundary coordinate file or obtaining coordinates of a framed target region on a map; the actual flight height is adjusted according to the three-dimensional elevation data, the constant ground resolution is kept, and according to the orthoimage route generation rule, the route direction is parallel to the long side of the target area, and the routes are in parallel S shapes; the inclined image route is expanded around the target area; after the target area is expanded, corresponding S-shaped inclined routes are generated according to the inclined photography course spacing and the inclined photography lateral spacing in the front, back, left and right directions. The route planning algorithm realizes high-precision autonomous planning of the inspection route of the unmanned aerial vehicle in a complex environment.

The invention relates to the technical field of power transmission line inspection, in particular to a power transmission line unmanned aerial vehicle intelligent inspection device which comprises an unmanned aerial vehicle, an airborne computing system is carried on the unmanned aerial vehicle, an angle adjusting mechanism is mounted on the bottom surface of the unmanned aerial vehicle, a mounting shell is mounted at the bottom of the angle adjusting mechanism, and a laser radar and a visible light camera are mounted in the mounting shell; a feature extraction and matching module and an intelligent route generation module are arranged in the airborne computing system; the inspection device further comprises rear-end equipment, the airborne computing system communicates with the rear-end equipment, an intelligent report generation module is arranged in the rear-end equipment, and the rear-end equipment is used for processing images collected by the visible light camera. The tower type and size are quickly identified through the feature extraction and matching module, and the route is automatically planned through the intelligent route generation module, so that manual intervention can be reduced, the route planning efficiency is improved, and the method is particularly suitable for large-scale application of large power grid companies.

The invention discloses a tourist route planning system based on an AI large model, and relates to the field of computer technology application. In order to solve the defects of lack of accuracy, reasonability and reference of recommendation results caused by tourist route recommendation in the prior art, the technical scheme provided by the invention is as follows: the tourist route planning system based on the AI large model comprises a scenic spot library construction module, a tourist route planning module and a tourist route planning module, the scenic spot database module is used for generating scenic spot information of each region through an AI large model and establishing a scenic spot database containing unique identifiers; the user input module is used for receiving travel demand information input by a user; the semantic analysis module is used for analyzing travel demands input by natural languages and generating structured data; the route generation module is used for generating a tour route from a scenic spot library according to the structured data; and the visual display module is used for displaying the text information and the map information of the tour route. The method is suitable for intelligent travel planning work of automatically generating a high-quality and visual travel route according to individual requirements of the user.

A route generation system (100) for an autonomous mobile robot 1 that moves in accordance with a preset operation table while detecting sign posts (SP) arranged along a movement route (10) comprises an imaging unit (26) that detects the sign posts (SP), a mobile body that moves the imaging unit (26) along the movement route (10), a sensor unit (40) that detects movement information for the mobile body, and an operation table generation unit (50) that generates the operation table on the basis of detection results from the imaging unit (26) and the sensor unit (40).

The application provides a kind of unmanned aerial vehicle map spot investigation route planning method and device, wherein the method comprises: obtaining the vector polygon boundary data of the region to be investigated, and constructing target surface and planning surface with different task semantics and geometric characteristics;According to the ground coverage size of a single photo calculated by camera parameters and ground sampling distance, classify the map spot;According to the determined map spot type, adopt the matching route generation strategy to generate the classified route;Based on the classified route, generate the discrete flight point set of unmanned aerial vehicle, and decouple the action arrangement of spatial position and evidence attitude.Through the application, the flight and photographing time of unmanned aerial vehicle in non-target area is reduced, the coverage efficiency is improved, and the problem of poor efficiency and accuracy of map spot investigation in the prior art is solved.

The invention discloses a load balancing-oriented airborne missile group multipath reliable routing method, which belongs to the technical field of air combat platform group network communication, and comprises multipath routing generation and multipath routing service forwarding of a QoS (Quality of Service)-based comprehensive state model, the route searching comprises the step of searching a first route between a given source node and a target node pair through an OLSR (Open Link Scheduling Route) protocol; all links on the known route are eliminated, and route searching is carried out again; and eliminating the link with the maximum load on the known route, and searching the route again. According to the airborne missile group multipath reliable routing method oriented to load balancing, multipath routing is realized by properly increasing protocol overhead, so that network load balancing is realized. Meanwhile, under the condition of enemy interference, a multi-path routing mode is adopted to replace an interfered link, and reliable transmission of core information of the backbone node is ensured.

A vehicle control device, which reduces intervention in automatic parking by a driver, includes a processor and a memory, that control the vehicle to a target parking position. The vehicle control device includes an obstacle detection unit detecting a position of an obstacle around the vehicle, a travelable region setting unit that determines a region where the vehicle may travel based on the position of the obstacle, and sets the target parking position within the travelable region, a route generation unit that calculates a travel route to the target parking position within the travelable region, and an automatic parking execution unit that causes the vehicle to automatically travel toward the target parking position. When a driver intervenes during the automatic traveling, the route generation unit stores vehicle state information at the time of the intervention, and resets the travelable region based on the driver operation intervention information.

The invention relates to a travel recommendation route generation method and a travel recommendation route display method. The travel recommended route generation method comprises the steps of planning an initial route based on travel starting and ending points of a target object and interest points marked and selected from a map under the condition that a recommendation function of a map application logged in by the target object is started; determining at least one recommendation point matched with the initial route based on a historical travel record of the target object; determining at least one passing point selected by the target object from the interest points and the recommendation points; and performing route planning based on the historical travel record and each passing point, and generating a travel recommendation route containing the recommended residence time and the passing sequence of each passing point. By adopting the method, the process of searching and determining the waypoints by the target object can be simplified, route planning is performed in combination with the historical travel record of the target object, habits such as travel preference of the target object can be fully considered, and a travel recommended route better conforming to the preference of the target object is obtained.

The present invention relates to a method for displaying, on a user interface, a process of generating, on the user interface, a 3D map composed of point clouds from using point cloud information acquired through a drone traveling around a facility, and generating an inspection route along which the drone can travel, on the basis of the generated 3D map and a 2D map obtained by viewing the 3D map from an arbitrary point.

The technology disclosed in the present description is for generating a route that can be followed by a vehicle. The route generation device pertaining to the technology disclosed in the present description is applied to an articulated vehicle that has a first vehicle and at least one second vehicle that is towed by the first vehicle. The route generation device comprises: a route generation unit that generates a route for the articulated vehicle; and a correction unit that generates a corrected route by correcting the route on the basis of the relationship between the shape of the route and the deviation between the second vehicle and the route when the first vehicle is caused to follow the route.