22results about How to "Improve traffic capacity" patented technology

The invention belongs to the technical field of steering pull rod design, and particularly relates to a steering pull rod mechanism design method based on analytic geometry and a steering pull rod mechanism. The steering pull rod mechanism is simplified into a plane connecting rod mechanism, and four key hinge points are marked; establishing a coordinate system by taking P1 as an original point; the length, the initial angle and the P4 coordinate of the front steering swing arm are obtained; calculating two coordinates of a P2 point when the front steering swing arm rotates to a limit position; generating P2 ''and P2'' ''points by rotating P2 'P4 and P2'' P4 line segments; and connecting the line segments and constructing perpendicular bisectors, and determining the position of a P3 point by solving the intersection point of the perpendicular bisectors. According to the method, the steering pull rod mechanism is designed through analytic geometry and coordinate transformation, the accuracy of hinge point positioning is improved, and structural deviation caused by empirical estimation is reduced; the design complexity is reduced through standardization steps, the development period is shortened, the motion coordination of the steering system is optimized, and the method is suitable for the field of automobile chassis and the like needing high-precision motion control.

This invention discloses an intelligent early warning system and method for railway line patrol safety based on edge computing, involving intelligent safety early warning in the railway transportation field, enabling real-time controllable emergency measures to minimize the negative impact of incidents. The edge computing-based intelligent early warning system for railway line patrol safety includes: a cloud platform for an intelligent patrol system along the railway line, network infrastructure units for the intelligent patrol system along the railway line, on-site edge intelligent early warning devices and traffic control units, and IoT video sensing infrastructure units. This invention aims to deploy edge computers to continuously analyze 24-hour video streams from surveillance cameras at key locations along the railway line, process data in real-time, reduce latency, promptly identify abnormal events, take temporary emergency measures as quickly as possible, and rapidly report abnormal events, effectively shortening response time, significantly improving the efficiency of handling abnormal events in railway transportation, enhancing the accuracy of emergency measures, and ensuring railway line safety.

The invention discloses a main line intersection CAV special lane setting method and a self-adaptive control system in a mixed driving environment. The method comprises the following steps: collecting information in real time; according to the current CAV permeability, the traffic capacity in the trunk line direction in three different states is calculated, the maximum net income of the traffic capacity is calculated, and then lane function switching judgment conditions are set in a mode of comparing the maximum net income of the traffic capacity; the lane function switching judgment condition is used for judging whether to open or close a CAV special lane, and determining that the CAV special lane is set as a CAV full-steering special lane or a CAV straight special lane; and iteratively optimizing the generated signal control scheme by adopting a PS-PPO-based multi-agent deep reinforcement learning algorithm, and generating an optimal signal control scheme in real time. According to the invention, the hybrid lane and CAV lane functions are dynamically adjusted according to the change of the CAV permeability, the cooperative optimization of the lane functions and the signal control scheme is realized, and the traffic efficiency of the trunk line intersection is improved to the greatest extent.

This application discloses a control method, apparatus, and self-moving device for a mobile device. The self-moving device includes a main body with a height-adjustable ranging component mounted on its top. The main body also includes a spatial information sensor. The control method for the self-moving device includes: acquiring real-time location information of the self-moving device; and controlling the lifting state of the ranging component based on historical map information and the real-time location information. The historical map information includes the location information and height information of the low-lying space. By intelligently controlling the lifting state of the ranging component using historical map information and real-time location information, the self-moving device can adapt to environments at different heights without relying on additional distance sensors, preventing the self-moving device from bumping into the ranging component when passing through low-lying spaces.

The utility model discloses a material handling tractor suitable for narrow space, which comprises a bearing platform, a cavity is arranged in the bearing platform, a rotating device is arranged on one side in the cavity, two studs are arranged on the rotating device, a pushing mechanism is screwed on the studs in a threaded manner, and the pushing mechanism is arranged on the bearing platform. One end of the pushing mechanism penetrates through the side wall of the bearing table and extends to one side of the bearing table, a supporting plate is connected to one end of the pushing mechanism, folding frames are rotationally connected to the two sides of the supporting plate, one end of the folding frame on the same side is rotationally connected to one side of the bearing table, and a bearing plate is inserted into the upper end of the supporting plate. According to the utility model, adjustment can be carried out according to spaces of different specifications, the traffic capacity and adaptability of equipment in different environments are enhanced, the trouble that carrying tools are frequently replaced due to space limitation is avoided, flexible adjustment of the bearing capacity can be realized according to actual material carrying requirements, and the practicability and flexibility of the equipment are improved.

The application discloses a kind of based on user balance flow distribution with maximum toughness as target damaged road network recovery order optimization method, to solve the problem of low efficiency, decision lacks scientific basis after disaster traffic network recovery.The method comprises the following implementation steps: first, construct damaged road network toughness evaluation framework, in combination with traffic network topological structure and flow demand, define toughness index as the reciprocal of recovery time and total travel time product;Second, establish damaged road network toughness optimization scene parameter, abstract road network into connected graph and define recovery scheme set;Then, construct the mixed integer linear programming model with maximum toughness as target, convert nonlinear problem into linear problem by cutting line approximation, and set flow balance, travel demand and other constraint conditions;Finally, the model is globally optimized and solved using high-performance solver, to generate the best recovery scheme.The method of the application can scientifically quantify road network toughness and optimize recovery order, avoid the blindness of experience decision, quickly improve the traffic efficiency of post-disaster traffic system, provide efficient and scientific decision support for post-disaster traffic recovery, and have important practical application value.

The invention provides a path planning method and system for personnel evacuation and obstacle avoidance, and belongs to the technical field of personnel evacuation dynamic obstacle avoidance path planning. The invention provides a Bi-RRT *-based personnel evacuation path planning algorithm with self-adaptive bias and a new improved self-adaptive extended step length. On the basis of the standard Bi-RRT * algorithm, an adaptive bias strategy which is jointly influenced by search experience and obstacles is added, so that the convergence speed of the algorithm is effectively improved, the path search efficiency is improved, and the ability of passing through narrow terrains is improved; based on a self-adaptive step length search strategy combining the repulsion size and the direction included angle, the obstacle avoidance capability is improved; in combination with improved adaptive bias, adaptive step length and bidirectional search capability, the adaptive capability to a complex evacuation space search path and the search efficiency of a multi-obstacle region algorithm are effectively improved. The method has remarkable advantages in the aspects of path planning efficiency, path quality, convergence speed, complex environment adaptability and the like.

This invention belongs to the field of agricultural machinery technology and discloses an intelligent agricultural weeding device for agricultural facilities, including a vehicle body. A collection device is located on the outer side of the vehicle body, comprising a connecting frame, a discharge shaft, a sliding column, an L-shaped rod assembly, a threaded block, a diagonal rod, a pushing block, a slot, a triangular block, a spring, and a barb. This invention utilizes the cutting teeth on the outer side of the rotary tiller to thoroughly chop weeds. Combined with the L-shaped rod assembly and the barb on the triangular block, it achieves integrated weeding and collection, preventing weeds from regrowth in the soil and improving weeding efficiency. The collected weeds can be centrally discharged for easy subsequent processing and resource recycling. A probe detects weed information in real time, and the control panel precisely controls the first, second, and third drive motors, achieving automated weeding operations without manual identification or operation, significantly improving weeding efficiency. Simultaneously, it accurately locates weed areas, reducing accidental damage to crops and ensuring agricultural production quality, which is beneficial for practical application and operation.

The invention discloses a tunnel entrance and exit visual buffering illumination system based on light perception, which comprises light-emitting panel groups which are respectively arranged on the inner walls of two ports of a tunnel and comprise light-emitting panels which are laid on the inner walls of the ports in a connected manner; the external photosensitive modules are respectively arranged outside the two ports and are used for collecting brightness outside the tunnel; the internal photosensitive module is installed in the middle section of the tunnel and used for collecting illumination intensity in the tunnel. The vehicle speed measurement modules are installed at the two ports respectively and used for obtaining the vehicle speed. An algorithm module is arranged in the control unit and is used for calculating a target brightness value of each light-emitting panel in the light-emitting panel group according to data acquired by the vehicle speed measurement module, the external light sensing module and the internal light sensing module and adjusting the brightness of the light-emitting panels to form gradient light; and the photovoltaic module supplies power to the light-emitting panel group. The brightness gradient buffer zone is constructed at the entrance and exit of the tunnel, so that eyes of a driver can smoothly adapt to illumination changes when the driver enters and exits the tunnel.

The invention relates to the technical field of traffic signal control, in particular to an intelligent traffic signal control method and system based on the Internet of Vehicles, and the method comprises the following steps: building an intersection digital space grid topological graph, obtaining discrete vehicle dynamics parameters through the combination of road side communication monitoring, deducing a vehicle driving track mapping sequence, and obtaining an intersection digital space grid topological graph; and screening a geometric intersection area, establishing a space-time occupation interval, verifying time period overlapping, executing time delay translation on a conflict group, and generating a time slice interlocking control instruction. According to the method, the space-time track pipeline of the vehicle crossing the intersection is accurately deduced by constructing the intersection digital space grid topology and combining discrete vehicle kinetic parameters, and the overlapping verification of the space-time occupation interval of the physical conflict area is utilized to replace the mechanical phase mutual exclusion logic; the conflict-free interlocking scheduling of the vehicles in different flow directions on the time slice is realized, and the refined utilization rate and the passing efficiency of the road space-time resources are greatly improved.

This invention relates to the field of vehicle management, specifically to a data management system and method based on vehicle traffic planning. The system includes an image perception module, a data fusion module, a path guidance module, a vehicle tracking module, and a replanning module. The image perception module identifies vehicle boundaries, the data fusion module performs indoor vehicle positioning, the path guidance module plans pedestrian and vehicle routes, the vehicle tracking module establishes a kinematic model and labels matched vehicles, and the replanning module recalculates the merging path to minimize the estimated merging time or travel cost. This invention can supplement missing image details, making the identification of key features of vehicles and pedestrians clearer, improving target detection efficiency, reducing waiting time for pedestrians and vehicles, alleviating traffic congestion in complex road conditions, shortening vehicle pick-up time, improving road capacity, and achieving two-way dynamic matching and visualized path collaboration between pedestrians and vehicles.

The application discloses a kind of construction methods of expressway intelligent management and control preplan of double emergency lane, by determining the traffic management and control comprehensive condition index calculation formula of road to be managed and controlled, the data of road are collected in real time, traffic management and control comprehensive condition characteristics are constructed, production control preplan cluster, then by calculation and simulation verification will obtain target preplan and its preplan execution effect, execution condition are recorded into preplan library, so that the expressway of double emergency lane can quickly search and directly provide solution when coping with large flow traffic or accident in inner lane, emergency response speed is faster, and by index calculation and simulation simulation two angles respectively to a series of preplans in management and control preplan cluster are compared horizontally, avoid the error caused by unreasonable influence factor parameter value, and obtain the emergency target preplan with high traffic efficiency and low secondary accident risk, so that accident risk is fully reduced, and vehicle traffic efficiency is greatly improved.

The invention discloses a traffic light queuing waiting reminding system and method, and relates to the technical field of traffic guidance, and the method comprises the steps of S1, vehicle positioning and data acquisition, S2, dynamic parameter calculation, S3, intelligent pre-judgment, S4, layered reminding triggering, S5, feedback optimization, and S6, system collaboration. In combination with a layered reminding mechanism, the starting delay time of queuing vehicles is shortened, specifically, the system can dynamically adjust a reminding strategy according to a real-time traffic state to ensure that a motorcade quickly and orderly passes through an intersection in a green light period, and meanwhile, a vehicle-road cooperation mechanism feeds back the vehicle starting state to a signal control system in real time, so that the driving safety of the vehicles is improved. Intelligent optimization of the green light time is achieved, waste of the green light time is avoided, energy consumption and tail gas emission which are increased due to frequent starting and stopping of vehicles are avoided, the congestion time of a single intersection is shortened through the design, and the traffic capacity of the whole road network can be improved through chain reaction.

The present invention provides a multi-topography integrated path planning method incorporating road factors. Based on the image information of the target area, at least one terrain feature included in the target area is determined, and a grid map corresponding to the target area is constructed. In response to a path search instruction input for indicating searching for a driving path between a starting point and an ending point in the target area, at least one path is determined in the grid map. The sum of the values of the cost function corresponding to each grid passed by each path is obtained. The cost function is associated with the slope value, type of the terrain feature included in the corresponding grid, the speed of a preset vehicle passing through the terrain feature included in the corresponding grid, and the Euclidean distance between the starting point and the ending point. The path corresponding to the minimum value of the sum is determined as the target path. Determining the path corresponding to the target path as the driving path in the target area can improve the passing efficiency of the user.

The invention discloses a narrow channel vehicle trajectory planning method and device and a vehicle, the planning method comprises the following steps: a task for planning a vehicle trajectory is configured, the task comprises a starting point, a terminal point and a reverse identifier, and the reverse identifier is used for determining whether reverse trajectory search is executed or not; and initializing the task, setting an initial search point and a target end point, and performing initial track search according to the reverse identifier. The task is traversed, and when the task has the narrow channel passing postures, the number of the narrow channel passing postures of the task is recognized. And decomposing the task into a plurality of corresponding sub-tasks based on the narrow channel passing postures of the task and the number of the narrow channel passing postures. And executing each sub-task to generate a track segment without narrow lane constraint, sequentially splicing the track segments of the plurality of sub-tasks according to a space sequence, and outputting a vehicle track. According to the method, the search complexity and the calculation time consumption are effectively reduced, and the traffic capacity of the automatic driving vehicle in a narrow and unstructured open space environment is enhanced.

This utility model relates to a firefighting robot that facilitates obstacle crossing, belonging to the field of firefighting robot technology. It includes a mounting base and a robot body fixedly connected to the top of the mounting base. The inner side of the mounting base is provided with an extension assembly for obstacle crossing. The extension assembly includes a dual-axis motor fixedly connected to the inner bottom wall of the mounting base. A threaded rod is fixedly connected to the output shaft of the dual-axis motor, and threaded blocks are threadedly connected to the outer side of the threaded rod. Connecting rods are fixedly connected to opposite sides of the two threaded blocks. When the visual sensor detects an obstacle ahead that the robot body cannot pass directly, the dual-axis motor starts, driving the threaded rod to rotate, causing the threaded blocks to move horizontally. This, in turn, pushes the fixed blocks outward through the connecting rods, causing the lifting component and the moving tracks to extend. Simultaneously, the piston rod of the electric cylinder extends, causing the mounting base and the robot body to move upward.

The application belongs to the technical field of robot control, and specifically discloses an intelligent control method for a buried pipeline detection robot, which comprises the following steps: generating a global path based on a pipeline map and robot body parameters, controlling the robot to travel along the global path, collecting information through a front-looking sensor to identify a curve, determining a curve passing speed and a deceleration starting position based on curve geometric characteristics, body parameters and a current speed when the curve is identified, and planning a curve passing trajectory for each joint, comparing the actual trajectory of each joint with the curve passing trajectory in real time during the curve turning process, triggering local path re-planning when a deviation occurs, calculating an expected angle of each joint according to the real-time curvature of the re-planned path or the curve passing trajectory, and performing control; the application realizes stable detection in a complex pipeline environment through multi-joint trajectory safety planning and accurate corner control, as well as global path pre-planning, accurate curve determination and risk early warning.

The invention provides an ETC truck lane entrance entering method, which relates to the technical field of intelligent traffic and comprises the following steps of S1, synchronously acquiring multi-source sensing data of a vehicle when the vehicle enters an identification area; s2, performing fusion processing and real-time verification on the multi-source sensing data; s3, generating a transaction decision instruction based on consistency comparison and matching verification results; s4, according to the type of the exception handling process, executing a corresponding check operation until the transaction is completed or manual handling is carried out; through time-space synchronous triggering and data fusion of a laser radar, a visual system and a dynamic weighing platform, the system can obtain multi-dimensional information such as a three-dimensional physical contour, an accurate wheelbase, a cargo form, real-time axle load and total weight, a motion state and the like of a vehicle, and a complete digital portrait of a physical entity of the vehicle is formed. And a solid foundation is laid for subsequent accurate verification.

This invention belongs to the technical field of fracturing equipment, specifically an integrated fracturing machine. The integrated fracturing machine includes a frame, a main engine, a transmission system, an air compressor assembly, a hydraulic system, a circuit system, a fracturing actuator, and a control system. The main engine is fixedly installed inside the frame. The transmission system is fixedly connected to one end of the main engine's output. The transmission system includes a power distributor, a first transmission component, and a second transmission component. The input end of the power distributor is rigidly connected to the output shaft of the main engine. The first output end of the power distributor is connected to the input end of the air compressor assembly through the first transmission component. This invention achieves single-engine drive through integrated design, reducing energy consumption, decreasing equipment size, and improving structural stability and system integration.

The utility model discloses a vehicle multi -dimensional information snapshot system based on millimeter wave radar and camera fusion, include: set up on the highway lane ETC gantry, set up millimeter wave radar on ETC gantry, millimeter wave radar is toward the vehicle driving direction, and with the control unit in roadside cabinet, edge operation server communication connection, set up on ETC gantry with the top view snapshot camera and the front view snapshot camera of light supplement function, top view snapshot camera and front view snapshot camera are connected with control unit, edge operation server communication respectively, top view snapshot camera is toward the road surface, and with the horizontal plane vertical, front view snapshot camera is toward the vehicle driving direction. When the vehicle snapshot rate is low in the highway scene because of the night, and overcast day, rainy day, foggy day, snowy day and other bad weather, vehicle shelter, traffic jam and the like, the utility model can also obtain higher vehicle multi -dimensional information snapshot accuracy.

The invention provides an intelligent rail green wave driving method and system based on multi-system linkage, relates to the technical field of intelligent rail traffic control, and solves the problem that the overall operation efficiency of a novel rail vehicle under shared right of way is limited. The method comprises the following steps: collecting real-time position and speed data of the intelligent rail vehicle, verifying the data by a station monitoring system, calculating the predicted intersection arrival time of the intelligent rail vehicle, and sending the predicted intersection arrival time to a traffic signal lamp management system; and the predicted intersection arrival time, the current corresponding signal lamp state and intersection traffic flow data are combined and uploaded to a total traffic light control center, and the total traffic light control center determines whether to trigger a green light acceleration operation or not through an authority grading judgment mode, calculates the green light acceleration duration during triggering, generates a green light acceleration instruction and issues the green light acceleration instruction to the corresponding traffic signal lamp. On the premise of guaranteeing the traffic safety of the intelligent rail, social vehicles and pedestrians, the traffic efficiency of the intelligent rail intersection is remarkably improved, the operation and maintenance cost is reduced, and the urban traffic operation order is optimized.

The application provides a variable lane management method, device and equipment, the method comprising: for each time period in a specified statistical period, if it is determined that the time period meets a lane attribute change constraint condition, an imbalance coefficient between a left-turn lane and a straight lane is obtained, and an imbalance coefficient threshold between the left-turn lane and the straight lane is obtained; if the imbalance coefficient is not less than the imbalance coefficient threshold, an optimal lane turning configuration corresponding to the time period is determined; if there are a left-turn lane turning configuration time period and a straight lane turning configuration time period in the specified statistical period, the candidate intersection is determined as a target intersection that needs to be set with a variable lane. Through the technical solution of the application, the variable lane and the time period (the time period of the left-turn lane and the time period of the straight lane) can be accurately set, the disadvantage of insufficient utilization rate of the left-turn lane or the straight lane is effectively made up, and the utilization rate of the left-turn lane or the straight lane is higher.