136results about How to "Improve travel efficiency" patented technology

The invention discloses a wind tower body derusting magnetic adsorption wall-climbing robot, which belongs to the technical field of robots and comprises a moving trolley, an adsorption mechanism, a polishing mechanism and a walking motor. The moving trolley comprises a chassis frame and four Mecanum wheels installed on the chassis frame. The adsorption mechanism comprises two adsorption assemblies which are symmetrically arranged front and back. Each adsorption assembly comprises a magnet device and a gap adjusting device used for driving the magnet device to move up and down. An ultrasonic sensor used for detecting the size of a gap between the magnet device and the wall face of the wind tower body is arranged on the bottom face of the magnet device. The grinding mechanism comprises a base, a sliding table, a supporting arm, a grinding lifting device, a grinding rotating motor, a grinding disc and a camera. The grinding disc can move left and right and move up and down, and the rust removal efficiency is improved. The problems that in the wall-climbing process of an existing wind tower wall-climbing robot, due to the fact that the preset safety adsorption force is too large and the structure of the robot is poor, flexibility is poor, and operation efficiency is low are solved.

The invention discloses an intelligent automobile path tracking system for urgent danger avoidance, and particularly relates to the technical field of intelligent automobiles, the system comprises an environment sensing module, the output end of the environment sensing module is connected with a danger assessment module, and the output end of the danger assessment module is connected with a path planning module. The output end of the path planning module is connected with a decision planning module, the output end of the decision planning module is connected with a vehicle control module, and the output end of the vehicle control module is connected with a communication and interaction module. Through cooperative work of all the modules, perception of the surrounding environment of the vehicle, danger assessment, path planning, decision making, vehicle control and communication interaction with the outside are achieved, under the dangerous condition, the system can make a response rapidly, effective danger avoiding measures are taken, the driving safety of the vehicle and the accuracy of path tracking are ensured, and the driving safety of the vehicle is improved. And a comprehensive and reliable guarantee is provided for safe driving of the intelligent automobile.

The invention relates to the field of intelligent navigation, and provides a navigation route planning method and device based on multi-modal interaction. The method comprises the following steps: determining a first expected travel time period and a first travel preference corresponding to each departure position, and a second expected travel time period and a second travel preference corresponding to each destination position; acquiring first historical traffic flow data of a first driving road section from the current position of the vehicle to each departure position in a first expected travel time period; acquiring second historical traffic flow data of a second driving road section from the current position of the vehicle to each destination position in a second expected travel time period; and performing navigation route planning based on the first expected travel time period, the first travel preference, the first historical traffic flow data, the second expected travel time period, the second travel preference and the second historical traffic flow data. According to the method, the efficient and convenient travel requirements of each user in a multi-user and multi-destination / departure place scene can be met, and the satisfaction degree and travel efficiency of the user on navigation service are improved.

The invention relates to the technical field of traffic control, and discloses an expressway traffic prediction method and system based on a cloud side end, and the method comprises the steps: configuring data collection equipment of an expressway, and constructing a whole-region road sensing network of the expressway; configuring edge computing nodes of the expressway at the key hub, and obtaining a lightweight data packet of the expressway; according to the lightweight data packet, cloud storage data of the expressway is generated, and a traffic mode of the expressway is analyzed; identifying a traffic flow change trend and an abnormal traffic condition of the expressway, and setting an abnormity self-service processing mechanism and an intelligent auxiliary system of the expressway; defining a traffic management mode and a user interaction mechanism of the expressway, and generating a data sharing platform of the expressway; and in combination with the whole-region road sensing network, the traffic flow change trend and the data sharing platform, traffic prediction processing of the expressway is executed, and a prediction processing result is obtained. According to the invention, the prediction efficiency and accuracy of the expressway traffic prediction system can be improved.

The invention discloses a self-adaptive large arm vehicle for cleaning the wall surface of a large ship, which comprises a vehicle body frame, a crawler walking device, a telescopic arm device, a cleaning disc device, a camera device, a rotary table device, an arm head telescopic device, a turbine worm device, a pressure sensor, a spring structure, a roller structure, a diesel engine block and a control electric box. Vehicle body positioning can be achieved through the camera and the UWB high-precision positioning system so that autonomous obstacle avoidance and path planning can be achieved, the telescopic arm carrying the cleaning disc is used for aerial work, the risk of constructors due to platform carrying can be effectively avoided, the posture of the cleaning disc can be adjusted in real time through the pressure sensor, and the working efficiency is improved. On the other hand, the cleaning disc device can adapt to different curved surfaces through deformation of the spring structure and rotation of the worm gear and worm device, and the cleaning disc device has good curved surface self-adaptability, autonomous obstacle avoidance performance and economic and environment-friendly benefits and meets the social market requirements.

The invention discloses a planning system and method based on a traffic space-time adjustment demand, the system comprises a spatial database, a stream processing framework, a distributed search engine, a data processing module and a dispersion force scheduling module, and the system calculates a traffic dispersion required by a congested road section by calculating a congestion index Cit of each road section in a future period of time; inquiring the currently deployed traffic dispersion personnel of the congested or seriously congested road section; calculating a dredging force tension index, rendering the road section with multiple colors, and generating a dredging force tension index trend chart; the optimal dispersion force scheduling scheme is automatically calculated for the road section with insufficient dispersion force configuration, so that the operation efficiency of the existing traffic regulation system is greatly improved, and the travel efficiency of urban residents is greatly improved.

The invention provides an equivalent hypergraph construction method for traffic flow prediction. The equivalent hypergraph construction method comprises the following steps: S1, data collection: collecting traffic flow data of each region through a sensor of an intelligent traffic system; s2, data processing: carrying out preprocessing and normalization processing on the collected traffic flow data, and constructing a graph structure of a traffic system and a training graph neural network model; s3, constructing a graph neural network: selecting a GCN as a framework of the graph neural network; s4, client node construction: performing feature fusion on the graph constructed for the local jurisdiction by each client through an attention mechanism; and S5, constructing an equivalent hypergraph: for n clients formed by traffic flow information of n regions, repeating the step S4 to obtain n client nodes, adding edges and weights according to a region adjacency principle to obtain an initial equivalent hypergraph, and continuously training and comparing based on the initial equivalent hypergraph to finally obtain the equivalent hypergraph. The risk of privacy disclosure is reduced, the efficiency of model training is improved, and the prediction precision of the model is improved.

The invention discloses an urban traffic monitoring management system based on cloud computing, which relates to the technical field of traffic supervision, and is characterized in that traffic associated data of each traffic crossing in an urban road network is acquired, a data topology network is constructed for mapping, and a data transmission link is constructed to send the traffic associated data to a cloud computing terminal; the cloud computing terminal configures computing power resources according to the data volume of the traffic associated data, generates a data to-be-processed task of each traffic crossing, performs feature processing on the data to-be-processed task of each traffic crossing to generate corresponding traffic live features, constructs traffic monitoring nodes, inputs the traffic live features, and transmits the traffic monitoring nodes to the cloud computing terminal. The method comprises the following steps: monitoring traffic events under corresponding traffic crossings, integrating all traffic events in an urban road network to generate a traffic list map and analyzing the traffic list map, further positioning traffic crossings with traffic anomalies, generating abnormal early warning, and performing path decision and travel path planning for traffic execution objects under traffic crossings without traffic anomalies.

The invention discloses an urban service optimization system based on swarm intelligence, and the system comprises the steps: obtaining historical taking data and urban road network data, building a database and an urban road network coordinate system, analyzing the delay time of a previous bus, evaluating the delay deviation, analyzing the stations, which coincide with other bus routes, in remaining routes, and carrying out the optimization of the urban service. The method comprises the following steps: acquiring historical riding data of a target bus, evaluating shunting deviation, further predicting a full-load rate of the target bus arriving at remaining stations according to the historical riding data, adjusting departure time of a next bus according to the predicted full-load rate, analyzing riding information of passengers, evaluating passenger flow when the bus stops at the target station, and judging whether to carry out early warning analysis or not. If yes, the driving states of the motor vehicles and the non-motor vehicles near the target station are further evaluated, an early warning result is obtained, and broadcasting is controlled to send out safety reminding according to the analyzed early warning result, and the method has the advantages of improving the passenger travel efficiency and guaranteeing the bus passenger safety.

The present invention provides an early warning method and system based on highway road condition monitoring, which relates to the field of radio detection technology. The method integrates multi-dimensional data collected by vehicle-mounted terminals, laser radars, acoustic wave sensors and video monitoring, calculates congestion coefficients, average delay values ​​and differences, and generates a traffic condition model; based on real-time data and historical data, a traffic state prediction model is constructed, and the indicators generated by the traffic state model are used as input to generate traffic state prediction results for future time periods; an early warning threshold is set, and when the traffic state prediction results are abnormal, an early warning signal is automatically issued. The present invention monitors the traffic conditions of highways through electromagnetic wave reflection technology, and issues early warning signals in a timely manner, thereby reducing the incidence of traffic accidents and improving road safety. The early warning method and system based on highway road condition monitoring will greatly improve the intelligent level of traffic management and contribute to the construction of a safe and smooth highway network.

This invention belongs to the field of airport public transportation allocation technology, and discloses an airport public transportation pre-allocation processing system and method based on a big data model. The method includes: acquiring historical data; using big data processing technology and machine learning and deep learning models to infer passenger demand and public transportation usage from historical data, generating a data projection model; inputting real-time weather, time, and passenger data into the data projection model, employing intelligent optimization algorithms, and dynamically adjusting public transportation resource allocation in conjunction with real-time traffic conditions; monitoring the public transportation resource allocation results in real time, continuously optimizing and dynamically adjusting the results using a feedback mechanism, and pushing the latest adjusted results to downstream third-party systems. This invention utilizes real-time data analysis and intelligent optimization algorithms to achieve a more efficient traffic scheduling scheme, and has significant practical implications and broad application prospects.

The invention provides an urban circle traffic demand prediction method based on a super network. The method comprises the following steps: constructing a multi-level, multi-attribute and three-dimensional interconnected super network covering highways, subways and railways in an urban circle; constructing a multimode generalized cost function based on the super network; dividing a comprehensive traffic zone, generating a passenger transport demand starting point and terminal point OD matrix, and constructing a travel mode division model considering multimode generalized cost and environmental influence; and based on the travel mode division model, traffic flow distribution is carried out by using a user balanced traffic flow distribution algorithm based on a quasi-Newton method, and a traffic flow prediction result of the urban circle is obtained. According to the method, a solution is provided for efficiently constructing a digital base of a traffic transportation industry vertical domain large model, improving the traffic mode division precision and the like, the bottleneck restricting the improvement of urban circle travel efficiency can be deeply analyzed based on the traffic demand prediction result, and policy suggestions are provided for constructing an efficient urban circle traffic transportation system.

The cart comprises a cart base, a first connecting rod is fixedly arranged on the front side of the lower end of the cart base, a first wheel seat is fixedly connected to the lower end of the first connecting rod, a guide front wheel is rotationally connected into the first wheel seat, a round rod is inserted into the cart base, and a second connecting rod is fixedly connected to the lower end of the round rod. The round rod penetrates through the slotted hole, a rotating sleeve is rotationally connected to the round rod, a supporting seat is connected to the lower end of the rotating sleeve, a rotating groove is formed in the supporting seat, a power shaft is rotationally connected to the interior of the rotating groove, bearing wheels are connected to the two ends of the power shaft, and a second connecting rod is arranged on the rear side of the lower end of the cart base. A third connecting rod is rotationally connected to the second connecting rod, a second wheel seat is arranged at the lower end of the third connecting rod, and a guide rear wheel is rotationally connected into the second wheel seat. The invention provides the multifunctional portable cart which is more flexible, more portable and more practical, and is suitable for wider application scenes.

The utility model discloses a blind guiding device which comprises a stick head arranged at the top of a stick body, a handle arranged on one side of the stick head and used for being supported by a user, a moving module arranged at the bottom of the stick body, a positioning module arranged in the stick head, an inertia measurement module and a data processing module arranged in the stick body, and a data processing module arranged in the stick body. The power module, the camera and the laser radar are arranged on the outer side face of the stick body, the camera and the laser radar are arranged at the positions, close to the stick head, of the stick body and are arranged in the direction opposite to the extending direction of the handle, and the data processing module is used for conducting SLAM mapping and obstacle information detection. The navigation module is used for receiving the SLAM mapping result and generating navigation data capable of avoiding obstacles based on the SLAM mapping result and the obstacle information, and the moving module is used for receiving the navigation data and moving according to the navigation data. By the adoption of the embodiment, real-time movement in a complex environment can be achieved, the blind person can go out only by following traction walking of the blind guiding device, and the going-out efficiency of the blind person is improved.

The present application discloses an information interaction method, device and smart cockpit, which belongs to the field of financial technology. The method includes: obtaining a user entry result, the user entry result is used to indicate whether a user of a first user terminal has entered the smart cockpit, and the first user terminal is associated with a travel demand order; when the user entry result indicates that the user of the first user terminal has entered the smart cockpit, sending a user confirmation request to the first user terminal; receiving user identity verification information fed back by the first user terminal based on the user confirmation request; sending the user identity verification information to a cockpit call platform, so that the cockpit call platform starts billing for the travel demand order when it is determined that the user identity verification information has passed the verification.

The invention provides an early warning method and system based on highway condition monitoring, and relates to the technical field of radio detection, and the method comprises the steps: carrying out the fusion of multi-dimensional data collected by a vehicle-mounted terminal, a laser radar, a sonic sensor and video monitoring, calculating a congestion coefficient, an average delay value and a difference degree, and generating a traffic condition model; constructing a traffic state prediction model based on the real-time data and the historical data, and generating a traffic state prediction result of a future time period by using an index generated by the traffic state model as input; and an early warning threshold value is set, and an early warning signal is automatically sent out when the traffic state prediction result is abnormal. According to the early warning method and system based on expressway road condition monitoring, the traffic condition of the expressway is monitored through the electromagnetic wave reflection technology, the early warning signal is sent out in time, the occurrence rate of traffic accidents is reduced, the road safety is improved, and the intelligent level of traffic management is greatly improved through the early warning method and system based on expressway road condition monitoring. And a contribution is made for constructing a safe and smooth expressway network.

The invention provides an intelligent navigation method and system suitable for an electric motorcycle. The method comprises the following steps: acquiring traffic information of a target area, habit preference data of a user during driving of the electric motorcycle, a battery state of the electric motorcycle and real-time position data; determining a plurality of possible paths according to a starting point and an ending point set by a user based on the map data of the target area; screening the possible paths according to the traffic information to obtain a plurality of first optimized paths; screening the first optimization paths according to the habit preference data to obtain a plurality of second optimization paths; screening each second optimization path according to the battery state and the real-time position data to obtain a third optimization path; and displaying the third optimized path on the intelligent helmet based on an augmented reality technology. According to the method, the path is optimized through the real-time traffic information, congestion and construction road sections can be effectively bypassed, the travel time and the waiting time are shortened, and therefore the travel efficiency is improved.

The present invention provides a security inspection and ticket inspection integrated inspection system and method for subway security inspection and ticket sales and inspection, the inspection system includes security inspection equipment, ticket inspection equipment and a management center, the security inspection equipment is connected to the management center, the ticket inspection equipment includes ticketing equipment and ticket gates, the ticketing equipment and ticket gates are both connected to the management center, the ticketing equipment, ticket gates and security inspection equipment are all provided with user identification cameras, and are all connected to the management center. The inspection method is specifically: dangerous goods detection is performed on users and their carrying items entering the subway station by terahertz light waves, security inspection information is generated and bound to the user, the user image is obtained by the user identification camera on the ticket gate, the ticket inspection information is bound to the user according to the user image, and the inspection result of the user is obtained. The present invention can link the data between the security inspection, ticket inspection and monitoring services in the subway station, and improve the travel efficiency and safety of users' subway travel.

The invention discloses a road network analysis system related to intelligent traffic, and relates to the technical field of intelligent traffic, and the system comprises a traffic road network range determination module, a road network analysis module, a control personnel processing end, a driving personnel client and a driving recommendation module. Comprehensive acquisition, dynamic analysis and accurate early warning of traffic data are realized; the system can calculate a congestion risk coefficient and an accident risk coefficient of a road in real time, identifies and manages a high-risk road based on a traffic safety index, and quickly sends early warning information to control personnel and driving personnel to guarantee the smoothness and safety of the road; particularly, the driving recommendation module provides a safe and efficient driving path for the user through a path optimization technology in combination with real-time road condition data, so that the driving experience and the operation efficiency of the traffic system are greatly improved.

The household intelligent lock device with the elevator calling function comprises an intelligent lock terminal, the intelligent lock terminal comprises a processor module, a communication module, a sensor module and a control panel, and the processor module is connected with the communication module, the sensor module and the control panel; the processor module is used for performing logic processing operation on the information of the intelligent lock terminal; the sensor module is used for acquiring and inputting user information; the control panel is used for sending an elevator pre-calling instruction to the elevator; the communication module is used for performing network communication with an intelligent lock terminal; the invention provides an intelligent lock terminal scheme which is convenient to use, safe and reliable and can realize long-distance elevator calling, and effectively solves the problems existing in elevator calling of other schemes, such as the problems of many operation steps and inconvenience of mobile phone APP elevator calling, high input cost of face recognition elevator calling and information safety problems. The installation position of an indoor interphone calling ladder is usually inconvenient.

The invention discloses a self-adaptive parking space recommendation method for flow fluctuation in festivals and holidays, and relates to the technical field related to intelligent traffic, and the method comprises the steps: obtaining a target travel request of a user side, at least including a destination and travel time; through festival and holiday flow prediction and parking space demand pre-judgment, in combination with a target travel request, a festival and holiday travel scene is identified, and a scene rule base including recommendation priority rules and path planning preferences is loaded; generating a parking space recommendation scheme based on a multi-dimensional decision model by fusing the real-time parking space state, the road condition information and the user portrait; and planning a full-link travel path, and displaying the full-link travel path on a terminal interface. The technical problems that in the prior art, due to the fact that the contradiction between supply and demand of parking spaces in holidays and festivals is sharp and the adaptability of parking space recommendation is poor, users are difficult to find parking spaces, and surrounding traffic jam is aggravated are solved, intelligent and efficient matching recommendation of parking space resources is achieved through scene pre-judgment, and the user experience is improved. And the user travel experience and the regional traffic operation efficiency are improved.

The invention discloses an intelligent network connection electric vehicle driving planning system. The intelligent network connection electric vehicle driving planning system comprises a map processing module, a radar module, a route planning processing module and a driving control module. Wherein the radar module comprises a distance measuring unit, an image acquisition unit and a GPS positioning unit; an image acquisition unit in the radar module is used for acquiring real-time road condition information around a vehicle and sending detection information to the route planning processing module; the GPS positioning unit is used for sending the position information of the vehicle to the route planning processing module; the route planning processing module processes the information sent by the image processing module and the radar module and generates an optimal driving route, and the driving route of the vehicle is changed through the driving control module; the problem that road surface information which can be captured by a route planning system in the prior art is not rich in the driving process of the electric automobile is solved.

The invention belongs to the technical field of intelligent traffic management and control, and particularly relates to an expressway inside and outside width regulation and control induction method and equipment. The method comprises the following steps: S1, acquiring traffic state parameters; s2, the traffic state parameters are input into a trained intelligent agent with an Actor network, the intelligent agent outputs induction action information, the induction action information comprises an induction direction and an induction destination, and real-time inter-amplitude induction regulation and control are achieved; and training the intelligent agent according to the traffic state parameter, the induction action information, the reward value of the intelligent agent and the new traffic state parameter. According to the invention, the flexibility of the internal and external amplitude division management and control road section is increased, the emergency response capability is improved, the road resource waste is reduced, the travel efficiency of travelers is improved, the management and control scheme is free from dependence on artificial experience, and a full-parameterized inter-amplitude regulation and control scheme is formed.

The utility model relates to the technical field of luggage supplies, and discloses a draw-bar box with a folding draw-bar structure, which comprises a main box, two fixing blocks are fixedly connected to the upper side of the rear part of the main box, connecting rods are rotatably connected to the interiors of the fixing blocks, one end of each connecting rod is fixedly connected with a turntable, the outer side of each connecting rod is fixedly connected with a draw bar, and the draw bar is fixedly connected with the main box. The right side of the rear portion of the main box is fixedly connected with a second thin shell. According to the utility model, by pulling the insertion rod, the baffle plate moves, and the spring is compressed. When the inserting rod completely retreats from the limiting hole of the rotating disc, the stopping block slides into the second thin shell, then the pull rod is rotated, the connecting rod is driven to rotate, the stopping block is lifted, the baffle and the inserting rod can move inwards to be inserted into the other limiting hole through the elastic force of the spring, folding of the pull rod is simplified, and meanwhile the occupied space of the luggage case is greatly reduced; and the scratch risk in the transportation process is reduced, so that the vehicle is particularly suitable for being used in narrow and small environments and public transportation, and the travel convenience is improved.

According to the intelligent elevator control method and system based on the Bluetooth technology, a user can easily control an elevator through mobile equipment without depending on traditional physical key pressing or card swiping, the use convenience and comfort are greatly improved, an application program interface is friendly, operation is visual, the functions of checking the elevator state, reserving the elevator and the like are supported, and the intelligent elevator control method and system based on the Bluetooth technology are achieved. Meanwhile, the authority management server ensures that only authorized users can use the elevator, Bluetooth connection encryption communication guarantees information safety and prevents illegal control, the elevator control system can automatically adjust the running state according to user authority, intelligent management is achieved, the system can record user habits, the elevator dispatching strategy is optimized, and the elevator dispatching efficiency is improved. And in addition, maintenance personnel can remotely monitor the elevator state through mobile equipment and an application program, faults are found and processed in time, and the maintenance efficiency and the service quality are improved.

The embodiment of the invention provides a travel route recommendation method and device, electronic equipment and a readable storage medium, and is applied to a server, and the method comprises the following steps: obtaining a starting position and a destination position of a vehicle; acquiring a plurality of travel routes according to the initial position and the destination position; obtaining vehicle state information and / or user information of the vehicle; according to the vehicle state information and / or the user information, determining a first road section in each travel route in the plurality of travel routes, wherein the first road section is a dangerous road section in road sections corresponding to each travel route; determining the risk degree of each travel route according to the first road section in each travel route; and recommending a final travel route to the user according to the risk degree. Therefore, the road danger is pre-judged and prompted in advance, a guarantee can be provided for the user to smoothly arrive at the destination, casualties are reduced, and the travel efficiency of the user can be improved.

The present invention provides a bus lane control method, device and electronic device. The bus lane control method comprises: determining a bus lane control strategy for a first intersection based on first information, wherein the first information comprises at least one of the following: vehicle traffic status information at the first intersection; bus route information at the first intersection; basic vehicle safety information of buses at the first intersection; bus-related information at a second intersection, wherein the second intersection is an intersection adjacent to the first intersection; phase information of an intersection signal at the first intersection; and sending a bus lane control signal to a target device based on the bus lane control strategy. The solution of the present invention can lend bus lanes to social vehicles, thereby maximizing the use of road traffic resources.

The present invention discloses a mechanical device for purifying heavy metal pollution in water bodies and a control method thereof, which breaks the traditional way and uses a machine to purify the delivery point instead of relying on manual labor, which not only greatly improves the purification efficiency, but also can avoid harming the health of purification workers, and can also collect sewage for testing, monitor the water quality in real time, and can specifically adjust the material of the purification core according to the current type of pollutants, so as to further improve the purification effect; and, through the control method of the mechanical device for purifying heavy metal pollution in water bodies, the mechanical device for purifying heavy metal pollution in water bodies can dynamically plan the path according to the current environment on the water surface and underwater, and realize fixed-point autonomous cruising to perform purification tasks, which can not only ensure the operating safety of the mechanical device for purifying heavy metal pollution in water bodies, but also improve the travel efficiency of the mechanical device for purifying heavy metal pollution in water bodies.

The invention discloses a car owner sharing method and device, electronic equipment, a readable storage medium and a chip, and relates to the technical field of hitchhim.The car owner sharing method comprises the steps that the driving state of a car owner user is determined; determining vacant seat information corresponding to the vehicle owner user under the condition that the vehicle owner user is in the carpooling and driving state; pushing at least one carpooling order to the vehicle owner user according to the empty seat information; in response to an order receiving instruction of the car owner user on the car-sharing order, determining a second driving route according to the car-sharing order and a first driving route corresponding to the car-sharing driving state; and pushing the second driving route to a vehicle owner terminal corresponding to the vehicle owner user.