3288 results about "Vehicle (Transportation)" patented technology

The invention relates to the technical field of logistics management, in particular to a logistics transportation management method and system based on multi-source data fusion, and the method comprises the following steps: monitoring the vehicle transportation duration in real time, calculating a congestion point, judging a coincidence time period in combination with predicted replenishment time, and generating a rhythm window; and matching the storage delivery time and sorting to generate a path segment code, fitting a path to screen a vehicle binding label, sending an instruction to monitor the path consistency, and generating a scheduling result. According to the invention, transportation time is monitored in real time, congestion points are generated, a rhythm window is dynamically generated in combination with replenishment task time, path segment coding is carried out on a picking sequence, channel use and shipping time, vehicle resources are screened based on path fitting and a path label is bound, and distribution consistency is monitored in real time to generate a scheduling instruction. Multi-dimensional data are analyzed in a unified mode and driven in a time sequence mode, intervention is reduced, efficiency is improved, path coding matching tracks are combined with congestion adjustment to avoid conflicts and redundancy, and the response period is shortened.

The present invention discloses a vehicle transport safety monitoring system for hazardous chemicals based on all-element management. A driver holography management unit performs multi-factor identity verification and multi-dimension driver status monitoring on a driver, and implements linkage with vehicle control according to an identity verification and / or status monitoring result. A vehicle safety monitoring unit automatically monitors a vehicle safety status, and forms warning or alarm information according to a monitoring result. An in-vehicle hazardous chemical safety monitoring unit comprehensively monitors physical and chemical safety parameters of in-vehicle hazardous chemicals and in-vehicle hazardous chemical anti-theft and robbery monitoring information during transportation, and forms warning or alarm information according to a monitoring result. This system can implement comprehensive real-time monitoring and risk warning for persons, vehicles, and materials for the in-vehicle hazardous chemicals during transportation, so as to ensure transport safety of the hazardous chemicals.

It is disclosed a vehicle transportation safety monitoring system based on driver holographic management. In the system, a driver identity verification unit reads driver certificate information and / or collects driver biometric information, and compares the information with biometric information corresponding to authorized driver identity information to complete driver identity verification, a vehicle control unit determines, according to an identity verification result, whether a vehicle can be started; emotion recognition and / or behavioral intelligent analysis and / or sensor monitoring data analysis and recognition is performed, and when the result triggers a warning, an operation such as automatic speed control is performed to control the movement of the vehicle. This system can bind a driver identity with a driving permission of a designated operating vehicle, monitors a driver emotion, a driving behavior, and a fatigue status, and controls a vehicle driving status and / or sends a safety warning to a driver according to a monitoring result.

The invention provides a logistics transportation method and system based on an unmanned aerial vehicle, and relates to the technical field of unmanned aerial vehicle transportation, and the method specifically comprises the steps: collecting the flight data of the unmanned aerial vehicle, the meteorological data of a target region, and other related data in real time; generating a condition index of each distribution area according to the distribution distance between the areas in combination with the traffic flow, the expected delivery time and the cargo load; generating a meteorological evaluation index according to the meteorological data, and generating a flight evaluation index according to the flight data; and combining the indexes to generate a region comprehensive evaluation model to obtain a comprehensive score of each target region. According to the invention, flight data and meteorological data are collected in real time, and a systematized regional comprehensive evaluation model is constructed. Through the combination of the condition index, the weather evaluation index and the flight evaluation index, the optimization capability of the distribution path is improved, and the distribution risk caused by weather and traffic factors is reduced.

The invention relates to the technical field of cold-chain logistics, in particular to an intelligent scheduling method and system for cold-chain transportation, and the method comprises the steps: achieving the precise scheduling and matching of vehicles and resources according to the information and resource integration of transportation vehicles; carrying out vehicle transportation path planning according to the determined target order; formulating an emergency response mechanism based on the real-time health state of the transport vehicle; according to the invention, through integration of transport vehicle information and resource data, optimization matching is carried out by using an intelligent calling algorithm, and accurate scheduling of vehicles and resources is realized. The resource waste and the unnecessary transportation cost are effectively avoided, and the improvement of the transportation efficiency is ensured; particle swarm optimization is adopted for path planning, and two-step operation of preliminary path generation and dynamic path optimization is combined, so that high efficiency and reliability in the cold chain transportation process are ensured; on the basis of real-time monitoring and historical data, potential faults of vehicles and equipment can be recognized in advance, and quick response can be achieved when abnormity occurs.

The invention discloses a smart city comprehensive transportation junction passenger flow control optimization method comprising the following steps: collecting data of a sensor, a camera and a mobile device, cleaning and preprocessing the data, using a data mining technology to identify a passenger flow rule, and using the data mining technology to determine the passenger flow rule; and establishing a passenger flow prediction model based on time sequence analysis, a regression model and a neural network, and training and verifying the accuracy of the model through historical data. The invention provides a passenger flow management and control optimization method for a comprehensive transportation junction of a smart city, and aims to realize accurate prediction and real-time regulation and control of passenger flow by integrating multiple data sources and applying artificial intelligence and machine learning technologies. And according to the prediction result, dynamically adjusting the scheduling schemes of the entrance and exit channels of the transportation hub and the transportation means, providing transfer path suggestions and reducing the transfer time of passengers.

The present invention provides a multimodal transport method for emergency materials based on emergency scenarios, which determines the key nodes of materials and effective transportation information according to the current emergency scenario information, constructs the current emergency material joint transport network, determines the transportation priority corresponding to the material demand point, obtains the material demand corresponding to the material demand point and the transportation capacity information of the current emergency material joint transport network, sets constraints, initializes multiple transport paths according to the constraints, and then determines the objective function, updates the transport path using a damage repair algorithm to obtain a new transport path, and re-determines the objective function, iterates and updates the preset number of times to reach the preset stop condition, and obtains the final objective function. The optimal transport path corresponding to the final objective function is a multimodal transport plan that transports emergency materials from the material supply point to the material demand point via the material transfer point. The present application can achieve the joint transportation of emergency materials in a shorter time and at a lower cost.

A torque control method, comprising: acquiring state information of a vehicle; determining a vehicle state and a longitudinal acceleration requirement value according to the state information of the vehicle; determining a longitudinal acceleration correction value according to the state information of the vehicle, the longitudinal acceleration requirement value, and a constraint condition corresponding to the vehicle state; and controlling the torque of the vehicle according to the longitudinal acceleration correction value. Further disclosed are a torque control apparatus, a transportation means, a chip system, a computer-readable storage medium and a computer program product.

The invention relates to the technical field of logistics transportation management, and discloses a vehicle transportation management method based on a digital technology, and the method comprises the following steps: collecting the energy state data of a vehicle in real time through a vehicle monitoring module; transmitting the collected vehicle data to a big data platform by using an Internet of Things technology, analyzing the data, and generating an early warning signal of an energy state; when the early warning signal is triggered, determining an optimal supply path according to the current position of the vehicle and traffic information, and arranging an energy supply service in advance; and through an intelligent scheduling module, according to real-time traffic information, vehicle load and destination distance factors, a transportation route and task distribution of the vehicle are dynamically adjusted. Through real-time monitoring and analysis, the system can automatically trigger a supply early warning signal when the energy state is lower than a safety threshold value, so that non-planned parking caused by energy exhaustion is avoided, and the accuracy of energy management and the operation reliability are remarkably improved.

The invention relates to the technical field of unmanned aerial vehicle transportation, discloses a storage container for a diversified logistics unmanned aerial vehicle and an operation system of the storage container, and aims to solve the problems that in the existing unmanned aerial vehicle distribution technology, the design of the storage container is lack of flexibility, an effective cargo tracking and information identification means is lack, and the operation system is lack of a comprehensive and intelligent logistics management function. The storage container adopts a modular design, can be flexibly combined by standard modules, is suitable for goods of different types and sizes, and is provided with an RFID or two-dimensional code tag to realize goods tracking and information identification. The container is made of a light high-strength material, is internally provided with a shock pad and an anti-collision corner to protect goods, and is stably connected with the unmanned aerial vehicle through an electromagnetic locking device. The integrated intelligent operation system comprises a sensing layer, a control layer, a data processing layer, a decision-making layer and an application layer, efficient and intelligent logistics management is achieved, and complex and changeable logistics requirements are met.

The invention relates to the technical field of obstacle recognition, in particular to an obstacle state recognition method and device in an automatic driving environment of a sightseeing park, and the method comprises the steps: setting corresponding motion models for different target obstacles; environment data and motion parameters are collected in real time through a multi-sensor module carried on a vehicle; performing preprocessing and feature extraction on the environment data to identify the type of a target obstacle; obtaining a prediction path of each obstacle based on the motion model and the motion parameters; and outputting the predicted path to a control system of the vehicle to perform an obstacle avoidance operation. The objective of the invention is to greatly improve the recognition efficiency of vehicles in a sightseeing park and reduce the recognition failure rate while guaranteeing the experience of tourists.

The invention relates to a traffic engineering BIM (Building Information Modeling) and VR (Virtual Reality) technology combined interactive design and simulation system, which relates to the field of traffic engineering and comprises an interactive configuration module used for selecting simulation configuration to obtain user feedback information; the route mining module is used for performing networking frequent mining to obtain a mobile route case set; the virtual driving module is used for starting simulated driving and obtaining a three-dimensional dynamic time sequence diagram of a vehicle and heart rate monitoring time sequence information of a user; the safety scoring module is used for receiving a user driving safety score through the user side; the risk evaluation module is used for obtaining a driving risk evaluation value set; and the safety identification module is used for performing safety identification and then sending the information to the traffic engineering design end. Through combination of BIM and VR technologies, virtual simulation acquisition and analysis of user driving behaviors are realized, so that the driving risk of a design scheme is evaluated in a targeted manner, traffic engineering optimization design is guided, and the safety of traffic engineering design is improved.

The MOD system according to an embodiment of the present invention includes a dispatch calculation unit for dispatching a mobility on demand (MOD) bus based on a boarding request from a user terminal including a departure point and a destination point; a boarding and alighting point calculating unit for specifying a boarding / alighting point at which the user boards or alights the MOD vehicle; a travel management unit for planning a route interworked with transfer means including public transportation means, metropolitan transportation means, or other MOD means other than the MOD vehicle when the departure point and the destination point belong to different areas; and a punctuality guarantee unit for performing an operation to guarantee punctuality of the arrival time when the boarding request includes the arrival time.

The embodiment of the invention provides a lens, a display module, a vehicle lamp device, electronic equipment and a vehicle. The lens comprises at least five lenses arranged from the image side to the object side in the optical axis direction. At least three lenses in the at least five lenses have positive focal power, at least one lens has negative focal power, and when the number of the lenses with the negative focal power in the lens is one, the lens with the negative focal power in the lens is arranged between the lens closest to the image side in the lens and the lens closest to the object side in the lens in the optical axis direction. The lens provided by the embodiment of the invention can have the characteristics of a large aperture and a large field angle at the same time, so as to meet the use requirements.

The invention provides an Apple cold-chain logistics path optimization system and method considering vibration loss, and the method comprises the following steps: collecting data required by cold-chain logistics distribution, including client point information, real-time road condition information, vehicle vibration acceleration and vehicle driving information; establishing an apple vibration loss calculation model in the transportation process according to the characteristics of the apples; according to the vehicle transportation cost, the goods damage cost, the refrigeration cost, the time window constraint violation cost and the carbon emission cost, an Apple cold-chain logistics distribution path optimization model with the minimum total cost as the target is established; solving the apple cold-chain logistics distribution path optimization model by using an improved ant colony algorithm; according to the detected CO2 concentration, temperature and vibration loss, the method is used for monitoring the apple quality condition in real time, establishing a feedback adjustment mechanism, and giving loss reduction measures according to the apple quality condition. The optimal distribution path is selected in combination with an algorithm, and cost reduction and benefit increase of apple cold-chain logistics transportation are achieved.

The utility model discloses a hook for a cargo transportation unmanned aerial vehicle, which belongs to the technical field of unmanned aerial vehicle transportation and comprises an unmanned aerial vehicle body, a connecting pipe is fixedly mounted at the bottom end of the unmanned aerial vehicle body, a butt joint structure for automatic butt joint is inserted into the connecting pipe, and a hook for hanging cargoes is fixedly mounted at the bottom end of the butt joint structure. Clamping frames used for assisting in stable automatic butt joint are rotationally installed on the two sides of the connecting pipe, one ends of the clamping frames are rotationally connected with control structures used for controlling the clamping frames to stretch, and spin lock structures used for locking the clamping frames are fixedly installed at the other ends of the clamping frames. A connecting pipe and a connecting rod are in butt joint and move downwards, a movable block retracts along a clamping block, meanwhile, a first spring pushes the movable block to move to the position between the clamping block and a bottom block, fixed connection between an unmanned aerial vehicle body and a lifting hook is completed, and close-distance contact between personnel and the unmanned aerial vehicle can be reduced; and safety risks and health problems caused by the fact that the stability of the unmanned aerial vehicle is influenced by pulling the unmanned aerial vehicle through manual operation are avoided.

The invention discloses a CVaR-based highway hazardous chemical vehicle accident rescue and evacuation path planning method, and belongs to the technical field of traffic safety and emergency. The path planning method comprises the following steps: acquiring dangerous chemical vehicle transportation accident occurrence points, rescue vehicle rescue points, accident vehicle placement points (evacuation destinations) and road network related parameters; the rescue stage is a path from a rescue exit point to an accident occurrence point of a rescue vehicle, comprehensively considers that the response time of the rescue vehicle is shortest, the efficiency is highest and an upper-layer rescue vehicle travel time shortest model is established, considers that a secondary accident is extremely easy to occur in a dangerous chemical vehicle transportation accident on a highway, and constructs a lower-layer model with the minimum secondary accident risk based on CvaR; a highway dangerous chemical vehicle accident rescue double-layer game planning model is formed; in the evacuation stage, a dangerous chemical substance accident vehicle is a path from an accident occurrence point to a vehicle placement point, the possibility of pollution caused by dangerous chemical substance leakage in the evacuation stage is considered, and an accident vehicle evacuation path planning model based on the CVaR dangerous chemical substance leakage risk is established. According to the highway hazardous chemical vehicle accident rescue and evacuation path planning method provided by the invention, the road traffic safety level and the emergency rescue efficiency can be improved, and smooth and orderly operation of highway traffic is ensured.

Transportation systems can represent a set of operating states of a vehicle to a user of the vehicle and generally include a system for representing a set of operating states of a vehicle to a user of the vehicle. The system includes a portion of the vehicle having a vehicle operating state; a digital twin system receiving vehicle parameter data from one or more inputs to determine the vehicle operating state; and an interface for the digital twin system to present the vehicle operating state to the user of the vehicle.

The invention discloses a logistics freight vehicle transportation supervision system and method based on the Internet of Things, and relates to the technical field of vehicle transportation supervision, the supervision system is constructed based on multi-source data fusion and hierarchical anomaly detection, and the problems of false data and signal interference which are difficult to identify in traditional supervision can be effectively solved; through multi-level comparison and block chain evidence storage, supervision blind areas caused by manual tampering or equipment faults are greatly reduced; meanwhile, the self-learning analysis module dynamically recognizes repeated or regular pseudo data, and by iteratively updating a threshold value and improving an early warning level, false alarms can be remarkably reduced, and accurate positioning of potential anomalies can be enhanced; the real-time performance and traceability of freight vehicle transportation supervision are improved, and the method has significant improvement value for the traditional mode which depends on a single data source and lacks a rapid verification mechanism.

The invention discloses a vehicle transportation management system based on vehicle-mounted dynamic weighing, and relates to the technical field of vehicle transportation management.An information collection module is arranged to collect task execution data of a vehicle, and a transportation analysis module is used for analyzing the task execution data according to a pre-driving path in the task execution data; dividing each pre-driving path into a plurality of path combinations, and determining a plurality of trend combinations and road trend indexes in the pre-driving paths according to changes of real-time cargo weight, driving speed and instantaneous fuel consumption of the vehicle in each path combination, the transportation management platform splits each generated driving path into a plurality of path combinations on the basis of a path planning algorithm, matches the path combinations with trend combinations in the transportation analysis module, selects a pre-driving path for the vehicle, adds analysis of the road surface flatness condition in the process of selecting the pre-driving path, and improves the road surface flatness accuracy. And the finally selected pre-driving path is more accurate.

Intelligent eco mode optimization in a battery electric vehicle (BEV) includes collecting data from one or more systems of a vehicle in which the vehicle includes a battery. A predicted route is generated based on the collected data. The collected data includes a navigation map for a portion of a vehicle transportation network. A state of the vehicle is determined based on the collected data and the predicted route. A drive mode is determined, using a decision-making model, for the vehicle based on the state of the vehicle and the predicted route. The drive mode is either a first drive mode having a first acceleration curve or a second drive mode have a second acceleration curve and the second drive mode reduces a rate of discharge of the battery as compared to the first drive mode. The vehicle is set to use the drive mode.

An occlusion is identified in a vehicle transportation network. A visibility grid is identified on a second side of the occlusion for a vehicle that is on a first side of the occlusion. The visibility grid is identified with respect to a region of interest that is at least a predefined distance above ground. The visibility grid is used to identify first portions of roads sensed by a sensor positioned on the vehicle and second portions of the roads that are not sensed by the sensor. A driving behavior of the vehicle is altered based on the visibility grid.

The invention provides a multi-center hybrid fleet joint scheduling method based on an improved genetic variable neighborhood algorithm, and the method comprises the steps: building a joint scheduling model with the minimization of vehicle transportation cost, charging cost and overtime penalty cost as a target, and building constraint conditions; a genetic algorithm is adopted for optimization, and a joint scheduling scheme with the lowest total cost under the constraint condition is obtained; performing variable neighborhood local search on each generation of optimal individuals after genetic manipulation; executing a dynamic disturbance operation; and judging whether the maximum number of iterations is reached or not, if so, ending the process, and obtaining a multi-center hybrid fleet joint scheduling scheme, otherwise, repeating the previous steps. According to the invention, a joint scheduling mechanism is introduced to realize transportation resource sharing, and the overall resource configuration is optimized; a joint scheduling model is constructed based on a hybrid motorcade, an electric vehicle charging strategy is optimally designed, an improved genetic algorithm and a variable neighborhood algorithm are used for optimization solution, and customer service satisfaction experience can be improved.

The invention discloses a multi-unmanned aerial vehicle logistics transportation collision prediction and early warning method, and belongs to the technical field of unmanned aerial vehicle transportation management. The problem that unmanned aerial vehicle early warning design is not carried out in a traditional unmanned aerial vehicle logistics transportation method in the prior art is solved. According to the method, the coordinates of logistics transportation points are determined according to the flight area of the unmanned aerial vehicle, and all the logistics transportation points in the logistics distribution range of the unmanned aerial vehicle are determined by calculating the distance relationship between the numbered logistics transportation points and the predicted flight distance of the unmanned aerial vehicle; the minimum logistics transportation route distance is obtained through calculation, the minimum element in the minimum logistics transportation route distance is screened, and the shortest logistics transportation route of all the unmanned aerial vehicles is obtained; and selecting an area where the shortest logistics transportation routes of all the unmanned aerial vehicles intersect, and analyzing the risk probability that any two unmanned aerial vehicles directly collide to obtain an unmanned aerial vehicle early warning result. The unmanned aerial vehicle transportation safety is effectively improved, collision of the unmanned aerial vehicle in the transportation process is avoided, and the method can be applied to planning of the unmanned aerial vehicle logistics transportation route.

The invention relates to the technical field of ice bridges, and discloses an ice bridge for river-crossing transportation in a cold region and a construction method. The pine rods perpendicular to the water flow direction are placed perpendicular to the water flow direction and used for enhancing the ice bridge structure; the pine rods parallel to the water flow direction are placed parallel to the water flow direction and are alternately matched with the pine rods perpendicular to the water flow direction to form a stiffened framework of the ice bridge; the natural ice surface serves as a foundation of the ice bridge and bears transportation loads. The designed width of the ice bridge is 6-8 m, and the snow cleaning width of the ice surface at the ice channel is 20-25 m. The bearing capacity and stability of the ice bridge can be greatly improved through a reasonable construction method such as multi-layer ice layer reinforcement and wooden pole framework supporting. The basic layer of the ice bridge adopts the basic ice layer with the thickness of 50cm, and the strength of the second reinforcing ice layer is further enhanced, so that the bearing capacity of the ice surface is enhanced, and heavy vehicles and mechanical equipment can be supported.

The invention relates to an in-plant transport vehicle unloading real-time monitoring system and method, and belongs to the technical field of production management. A plurality of cameras are installed at a loading area exit, an unloading area exit and a route of vehicle transportation, whole-process monitoring of vehicle transportation is carried out, a wagon balance system is connected with the system, remote management of vehicle weight is achieved, monitoring of vehicles in a monitoring room is achieved, manpower is saved, the error rate is reduced, working efficiency is improved, and data recording and filing are facilitated.

The invention discloses a fresh aquatic product transport vehicle transportation method and system and electronic equipment, and relates to the field of aquatic product preservation. The method is applied to a vehicle-mounted control system and comprises the steps that current driving data and in-vehicle environment data of the aquatic product transport vehicle are obtained, and the driving data comprise the driving speed, the driving time and the current position; determining the driving state of the aquatic product transport vehicle according to the driving data; determining a fresh-keeping mode of the aquatic product transport vehicle according to the driving state of the aquatic product transport vehicle and the in-vehicle environment data; according to the fresh-keeping mode, the operation states of various fresh-keeping devices in the cold-chain transport box are controlled, so that the survival rate of the aquatic products meets the preset survival rate before the aquatic product transport vehicle arrives at the destination. By implementing the technical scheme provided by the invention, the problem that the aquatic product quality is reduced due to a relatively poor transportation environment in the transportation process of the aquatic product transportation vehicle is solved.

The invention discloses an overhead transmission line engineering construction carbon emission calculation method based on a full life cycle method. The calculation method comprises the following steps: S1, selecting GB / T 51366-2019 Building Carbon Emission Calculation Standard as an overhead transmission line carbon emission calculation criterion; s2, combining calculation standards, selecting a full life cycle method as a theoretical basis, and taking a carbon emission factor method as a main calculation method to carry out combined calculation; s3, carbon emission factors of electric energy, fossil fuel, mechanical equipment and building materials are compared in detail, and finally a carbon emission factor list suitable for overhead transmission line engineering construction is established; according to the method, the carbon emission is divided into three key stages, namely vehicle transportation, a construction process and building material use, on the basis of a full life cycle method, the complexity of analysis of main components and the overall structure of the overhead transmission line is simplified, the calculation workload and the calculation cost are reduced, and the method has wide applicability.

The embodiment of the invention provides an illegal parking detection method and device, equipment and a storage medium. The method is applied to the technical field of vehicle traffic, and comprises the following steps: acquiring a real-time video stream in traffic gate monitoring, and extracting image frames in the real-time video stream according to a preset time interval; parking space identification is carried out based on the image frame, a parking space area detection result is generated, and the range of a no-parking area is extracted reversely; before, after, or simultaneously; vehicle and license plate detection is carried out based on the image frame to obtain current position coordinates and license plate information of the vehicle; according to whether the position coordinates are in the range of the parking forbidding area, whether illegal parking occurs is judged; if yes, a report is automatically generated, and system prompt information with illegal parking signs is generated. In this way, the problems that in traditional illegal parking inspection, the labor cost is too high, and the working efficiency and precision are low can be solved, the labor and material resource cost is reduced, and the working efficiency, management stability and precision are improved.

The invention discloses a multi-vehicle cooperative intelligent marshalling speed regulation method for railway transportation of power batteries. The method comprises the following steps: establishing state characteristics of each transportation truck, and constructing a position sensitive damage cost function for evaluating the risk cost of each truck at different marshalling positions according to the state characteristics; in the railway vehicle transportation process, an event-driven time pane dynamic optimization method is adopted, a vehicle marshalling and train speed control curve is dynamically updated according to state parameters collected in real time, and in the optimization process, a variable damping distribution strategy of a coupler and a cooperative vehicle speed curve generation algorithm are adopted, so that the train speed control curve is dynamically updated. Meanwhile, time dispersion is carried out on coupling impact events through an impact time peak shifting strategy; and when the comprehensive risk index of any transport truck exceeds a preset threshold value, an emergency re-marshalling strategy based on the energy absorption remaining amount of the battery packaging unit and the coupler health degree is executed. The method can comprehensively consider the thermal characteristics of the power lithium battery, the dynamic response of the vehicle and the risk evolution.