15results about How to "Improve travel efficiency" patented technology

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 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 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 application relates to the technical field of urban bus line network and timetable integration optimization, and particularly discloses a bus line network and timetable integration optimization method and device based on graph reinforcement learning. The method is used for generating a bus line network structure and a timetable in a multi-mode public transport network containing BRT, subway and shared bicycles. Firstly, a multi-mode public transport road network is constructed, and passenger flow demand data is obtained; a bus line network design and a synchronous timetable compilation process are modeled as a Markov decision process; according to a current bus line network state, the road network is reconstructed into a heterogeneous graph containing time sequence evolution arcs and spatial topology arcs, and a double attention graph neural network is used to extract candidate node features; according to the node features, an action is selected through an action network, and the bus line network state is updated; the node feature extraction, the action selection are repeated until a termination condition is met, and the bus line network structure and the line timetable are output. The application can generate a bus line network and timetable which are more coordinated with other public transport modes, and reduce the operation cost of bus enterprises and the travel and transfer time of passengers.

This application provides a road traffic information monitoring system. The system includes video acquisition equipment, a road network service module, a monitoring module, an internet module, a dedicated network GIS service module, and a traffic database. The road network service module connects to the traffic database to obtain changed road network data and generate a changed road network model. The monitoring module connects to the road network service module, the internet module, and the video acquisition equipment to obtain more stable and reliable real-time traffic situation information and generate initial monitoring information, enhancing the accuracy of the monitoring information. Based on the initial monitoring information, traffic evaluation is performed, and based on the dedicated network GIS service module, initial instruction information is generated and released for control via the internet module. Subsequent evaluation and control are based on more accurate real-time monitoring information, improving the efficiency and quality of the evaluation and control process, thereby enhancing the convenience of public travel.

The application discloses a compact micro-bubble air floatation device for removing oil from oil and gas field production water, and belongs to the technical field of micro-bubble air floatation machines, which comprises a main tank body, wherein an oscillating assembly and a cleaning assembly are arranged in the main tank body, a main rotating shaft is rotationally connected to the main tank body through a bearing, the main rotating shaft is in transmission connection with the oscillating assembly and the cleaning assembly, and a solid-removing assembly is fixedly connected to the bottom of the main tank body. In the application, the oscillating assembly is arranged, the main rotating shaft drives a plurality of extrusion blocks to rotate through a connecting ring, the extrusion blocks drive a sliding rod to make a reset movement in cooperation with a reset spring, thereby realizing the reciprocating movement of the sliding rod, the sliding rod drives the baffle to reciprocate, the baffle drives the high-pressure spray pipe to reciprocate through a connecting rod, thereby expanding the range of the high-pressure spray pipe for spraying bubbles, enabling the bubbles to more fully fill the main tank body, and enabling the bubbles to more comprehensively adhere to oil and grease impurities, thereby improving the oil removal efficiency.

The invention discloses a parking space state prediction and parking guidance system based on multi-source information fusion, and relates to the technical field of parking guidance, the core of the parking space state prediction and parking guidance system comprises four modules: a multi-dimensional data acquisition and preprocessing module for acquiring and associating three-dimensional data of a user, a parking lot and a road network by deploying a multi-modal terminal and an edge node; the parking demand and resource collaborative evaluation module is used for predicting a parking space vacancy rate by using a model according to the three-dimensional data and judging whether a guiding scheme needs to be adjusted or not by combining a threshold value; the demand-oriented guide parameter optimization module is used for dividing travel scenes based on the core state data of the vehicle owner aiming at a scene needing to be adjusted, calculating an optimal parking path curve and generating a parking space recommendation and path instruction; and the guiding effect closed-loop and compensation module is used for pushing an instruction, monitoring parking duration and evaluating whether a compensation scheme is started or not. According to the system, through multi-source information fusion and dynamic optimization, the parking efficiency and the user experience are improved, and static traffic intelligence is assisted.

The invention discloses a global transportation blind guiding quadruped robot, and belongs to the technical field of disabled assisting robots. The robot mainly comprises a global walking-replacing blind-guiding quadruped robot structure (100) and an intelligent control system (200). The structure (100) comprises a machine body compartment body (101), four groups of wheel-foot combined type leg modules (110-115), sensing devices (103 and 109), control devices (104, 105 and 108), a seat (107), a power storage and supply device (106) and the like. The system (200) integrates subsystems such as a general control subsystem (201), an environment perception subsystem (202, 203), a voice interaction subsystem (204), a navigation driving subsystem (207) and a balance control subsystem (208). Through the fusion of the robot technology and the unmanned driving technology and by means of artificial intelligence learning training, the dual functions of manned riding instead of walking and intelligent blind guiding under various environments such as road driving, step climbing and field walking can be achieved, and the autonomy, safety, comfort and efficiency of visually impaired people going out can be remarkably improved.

The utility model relates to the field of knapsacks, in particular to an outdoor knapsack, which comprises a knapsack main body, straps and an auxiliary bag, the straps are symmetrically fixed on the knapsack main body, male buckles are arranged on the straps at intervals, the auxiliary bag comprises a box body and an upper cover, the tail end of the upper cover is integrally connected with the upper end of the box body, and the lower end of the upper cover is connected with the lower end of the box body. The head end of the upper cover is connected with the box body through a hook-and-loop fastener in a fastening mode, a containing cavity is formed in the box body, a female buckle matched with the male buckle in a fastening mode is arranged at the bottom of the box body, the upper cover of the auxiliary bag is connected with the box body through the hook-and-loop fastener, opening and closing are convenient and fast, and a user can place high-frequency use articles such as a mobile phone and a key in the containing cavity of the auxiliary bag. When the articles need to be taken out, the backpack does not need to be taken down, and the articles can be taken out by directly opening the upper cover of the auxiliary bag on the straps, so that the convenience of taking out the high-frequency use articles is greatly improved, the tedious operation in outdoor activities is reduced, and the travel efficiency and the use experience are improved.

The invention belongs to the technical field of airport hierarchical security check, and discloses an airport hierarchical security check method and system based on a block chain and federal learning. The method comprises the following steps: initiating a cross-chain request; the method comprises the steps of generating a passenger encryption feature, generating a zk-SNARK proof, generating a passenger encryption behavior abstract, and pushing flight state information in real time through an airport ACDM system; based on the generated and pushed information, a passenger risk level is obtained by adjusting the weight of federal learning in a federal learning layer; and dynamically adjusting the security check channel according to the real-time navigation security information. Federal learning is introduced, and a risk assessment model is trained in combination with multi-party data on the premise of protecting privacy. And designing a dynamic weight mechanism, and adjusting the priority of the risk factors according to different scenes. Different from airport security check of the same type, the invention provides different application scenes, the travel efficiency of passengers is improved, and quick security check can be realized.

This invention relates to the field of robotics, and more particularly to a gas-driven variable-cell robot for disaster relief and its detection method. The robot comprises: a torso module, which includes several torso links rotatably connected end-to-end and a walking unit connected to the torso links. The walking unit includes a hip joint rotatably connected to the torso links, a thigh rotatably connected to the hip joint, a lower leg rotatably connected to the thigh, and a foot connected to the lower leg; a gas-driven module, which includes a hip joint rotary cylinder disposed on the torso links, and the hip joint is driven and connected to the hip joint rotary cylinder; a detection module disposed on the torso links; and an explosion-proof energy module installed on the torso links. This invention solves the technical problem of poor robot morphology and environmental adaptability in the prior art, and improves the robot's adaptability to complex environments.

The utility model discloses a display screen, in particular to an electronic light multifunctional display screen, which comprises a first section bar and a plurality of light-emitting units, each light-emitting unit is arranged on the first section bar, each light-emitting unit comprises a second section bar, each second section bar is connected with the first section bar in an embedded and clamped manner, and two ends of each second section bar are fixedly connected with end plates. The upper side of the second profile is fixedly connected with light-transmitting glass, and a lamp panel is embedded in the inner wall of the second profile. The technical scheme of the utility model aims to quickly and accurately inform passengers of the station information, save time and further improve the travel efficiency of the passengers.

The application provides a driving charging system for an electric vehicle, which is recorded by the inventor in April 2025, and the same conclusion is expressed in a more professional and concise language today. The charging system is applied to the transportation industry and can be widely applied to the fields of highways, waterways, aviation and the like. The charging system comprises a battery pack, an electric motor, a generator, a converter and a transformer. The battery pack supplies power to the electric motor through wires, and the electric motor drives the generator to generate electricity through mechanical transmission. The generator can be installed at the hub position, and the electric energy is processed by the converter and the transformer to provide power to the battery pack for charging, so that the electric vehicle realizes self-charging during driving without the need of external charging equipment. The charging system realizes the combination of alternating power supply and charging of the two groups of batteries and mechanical power generation and wind power generation, so that the electric vehicle can continuously and autonomously generate electricity and supply electric energy to the battery during driving without the need of parking for charging. The problem of time-consuming charging and insufficient endurance during long-distance driving is solved.

The utility model discloses a bicycle electric power assisting device which comprises a fixing support, a modularized buckle type structure and a connecting piece, a self-adaption elastic pressing mechanism is arranged between the fixing support and the connecting piece, a hub motor is arranged at the side end of the connecting piece, and the side end of the hub motor is electrically connected with a battery and a control device. According to the bicycle electric power assisting device, through the extremely simple structural design, a user can conveniently and stably install the power assisting device on a bicycle within a short time without any tool and only through simple operation, and the bicycle electric power assisting device is simple in structure, low in maintenance complexity, capable of reducing quick-wear parts, low in maintenance cost, foldable, convenient to store, capable of being assembled and disassembled instantly, flexible and easy to use.