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1869 results about "Vehicle type" patented technology
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Parking space occupation detection and billing linkage control method for new energy automobile charging pile
The invention discloses a new energy automobile charging pile parking space occupation detection and billing linkage control method, and relates to the technical field of urban public resource optimization distribution and new energy automobile charging pile parking space management. Comprising the steps of multi-source sensing and state fusion: sensing real-time occupation states, vehicle types and charging behavior states of all parking spaces in real time by using a parking space detector, an ALPR visual sensor, a Hall sensor and a charging pile state communication protocol, collecting original data, deploying edge nodes at the parking spaces, and fusing the original data in real time, outputting a unified parking space state object after fusion; original data are collected in real time through the parking space detector, the ALPR visual sensor, the Hall sensor and the charging pile state communication protocol, and through multi-dimensional behavior analysis of the parking space state, the abnormal behaviors that a fuel truck occupies a space for a long time, an electric vehicle occupies the space and is not charged, and the electric vehicle is detained after being charged can be accurately recognized; and an accurate basis is provided for subsequent charging processing and precise management.
Owner:SUZHOU FEIYI INTELLIGENT SYST CO LTD
Virtual automobile exhibition system based on digital twinning
The invention belongs to the technical field of virtual automobile exhibition, and particularly relates to a virtual automobile exhibition system based on digital twinning. The system comprises a digital twinning construction module which generates a lightweight model and supports first-person visual angle dynamic updating; the user behavior analysis module is used for mapping data such as a sight track into a weighted directed graph, and predicting vehicle types and configuration requirements by using a multi-head graph attention network; the personalized configuration selection module is used for generating a configuration scheme in combination with digital twinborn parameters; the virtual test driving module is used for providing immersive experience based on the configuration scheme and the scene; and the background data analysis module integrates the data to generate a user portrait so as to optimize the exhibition content. According to the system, dynamic virtual-real mapping, accurate demand prediction and data-driven intelligent exhibition are realized, and the user interaction depth and the car purchase efficiency are improved.
Owner:SHANDONG YOUZHAN CULTURE MEDIA CO LTD
Road shoulder vehicle exclusion method based on inspection system
The invention discloses a road shoulder vehicle exclusion method based on an inspection system, and relates to the technical field of intelligent transportation, and the method comprises the steps: obtaining a parking area image shot by an inspection vehicle, recognizing a vehicle target in the image, and extracting the license plate position information; based on vehicle three-dimensional feature reconstruction and space projection analysis, generating a space distribution thermodynamic diagram of the vehicle in the image coordinate system; constructing a dynamic segmentation line model, and adaptively generating a road shoulder region judgment boundary according to the parking space type and the road geometric parameters; and through a multi-target trajectory association algorithm, the berth vehicle and the road shoulder vehicle are distinguished, and the berth occupation state is output. According to the scheme provided by the invention, the spatial positioning precision and behavior judgment reliability in a complex scene can be remarkably improved, the limitations on environmental adaptability, vehicle type compatibility and time sequence continuity are broken through, and a road shoulder violation management and control solution with high robustness and full-time coverage is provided for urban traffic management.
Owner:HANGZHOU MOVEBROAD TECH CO LTD
Multi-type emergency vehicle signal dynamic priority control method based on vehicle-road cloud cooperation
The invention relates to a multi-type emergency vehicle signal dynamic priority control method based on vehicle-road cloud cooperation, and belongs to the technical field of intelligent traffic control. The method comprises the following steps: acquiring an emergency vehicle state and traffic environment data in real time through cooperation of a vehicle-mounted terminal, roadside equipment and a cloud control platform; the cloud control platform dynamically calculates priority scores based on vehicle types, task emergency degrees, predicted arrival time, real-time traffic influences and path complexity multi-dimensional factors; when multiple vehicles have conflicts, collaborative decision making is carried out based on scores; and finally, an optimized signal control strategy is generated and executed. The system effectively solves the problems that a traditional priority control mode is extensive, and traffic jam and multi-vehicle conflicts are easily caused, achieves the purpose that interference to social traffic is minimized while efficient passing of emergency vehicles is guaranteed, and improves the overall efficiency and safety of an urban traffic system.
Owner:BEIJING BOYAN ZHITONG TECH CO LTD
Vehicle painting make-up color matching method based on computer vision
ActiveCN120823414AInternal combustion piston engines2D-image generationInformation repositoryVisual technology
The invention relates to the technical field of computer vision, and discloses a vehicle paint make-up color matching method based on computer vision, and the method comprises the steps: collecting a vehicle paint image in real time through an industrial camera, constructing a multi-dimensional color feature extraction system after preprocessing, and building a color feature database through a color space conversion technology; and positioning a target color card by combining a feature matching algorithm. Meanwhile, a historical paint make-up case information base is constructed, a multi-factor weight distribution model is established, an optimal matching scheme is solved by adopting an improved particle swarm optimization algorithm, and finally a result is output through an interactive verification platform and tracked and fed back. According to the method, multiple factors are comprehensively considered, the precision and efficiency of color matching are improved, and the method is suitable for paint make-up color matching of vehicles of different vehicle types, years and paint surface types and has high practicability and popularization value.
Owner:HANGZHOU ENOKHANG AUTOMOTIVE TECH CO LTD
System for detecting motion state of vehicle behind mobile maintenance vehicle based on Leiyu fusion
A system for detecting the motion state of a vehicle behind a mobile maintenance vehicle based on thunder-vision fusion belongs to the technical field of traffic intelligent control and comprises a multi-source sensing module, a target detection module, a trajectory tracking module and a vehicle motion state modeling module. A structured state output module performs standardized integration on vehicle target trajectory information provided by a detection and tracking module based on a unified data expression model to form a multi-dimensional structured data format including fields such as a relative distance, a relative speed, an acceleration, a vehicle type, a lane number, a frame timestamp and the like; consistency analysis and downstream calling can be conveniently carried out among different systems, the problem that a traditional detection system is difficult to integrate due to lack of a structured interface is avoided, the system supports flexible butt joint with a road sensing platform, a vehicle-mounted control system and an upper-layer data analysis module, good expansibility and cross-platform adaptation capacity are achieved, and the system is suitable for being popularized and applied. And the engineering availability and deployment efficiency of the traffic flow state information are obviously improved.
Owner:SHANXI JIAOKE INFORMATION SYST ENG CO LTD +1
Charging parking space intelligent occupation management linkage control method and system based on Internet of Things
InactiveCN120913434AIndication of parksing free spacesUser identity/authority verificationResource poolThe Internet
The invention relates to a charging parking space intelligent occupation management linkage control method and system based on the Internet of Things, and belongs to the field of charging parking space management.The method comprises the steps that the state of a charging pile, the state of a parking space lock and occupation information are collected through Internet of Things equipment, and a dynamic parking space resource pool is constructed; based on knowledge graph semantic reasoning, matching parking spaces meeting vehicle type adaptation and available time periods, and combining historical late data of a user to set elastic reservation retention duration; the identity legality is verified by comparing the information of the reserved vehicle with the information of the actual parking vehicle; and when the charging pile is controlled to start charging and the parking space lock is unlocked, the block chain is synchronously associated to generate the transaction voucher, and the transaction record uploading is completed based on the voucher after the charging is finished, so that the technical effects of efficient matching and dynamic management of the charging parking space resources are realized.
Owner:JUN JIAN ZHI ZAO (SHEN ZHEN) YOU XIAN GONG SI
Multi-steering-wheel calibration method and device and storage medium
ActiveCN121475109ANavigational calculation instrumentsDigital data processing detailsClassical mechanicsOdometer
The invention discloses a multi-steering-wheel calibration method and device and a storage medium, and the method comprises the steps: constructing a conversion relation between the motion state of each steering wheel and the motion state of a vehicle body, and obtaining a motion model parameter; indicating the vehicle body to move according to the motion instruction, and calculating and calculating pose parameters based on the motion model parameters and the motion speed and the motion angle of each steering wheel in the motion instruction; obtaining an actual pose parameter after the vehicle body moves, and carrying out difference calculation on the calculated pose parameter and the actual pose parameter to obtain a pose residual error; and updating the steering wheel zero offset of each steering wheel by using the pose residual error to obtain a finally calibrated target steering wheel zero offset of each steering wheel. The scheme is suitable for multi-steering-wheel vehicle type speedometer calibration, the vehicle body pose can be calculated according to the speedometer data by deducing the conversion process of the multi-steering-wheel encoder and the vehicle body motion state, then the difference value between the vehicle body pose and the actual pose parameter is calculated to adjust the zero offset, and the accuracy of zero offset adjustment is improved.
Owner:ZHEJIANG HUARAY TECH CO LTD
Transfer trolley with rotary lifting function
Owner:QINGDAO UNITED NEW ENERGY AUTOMOBILE CO LTD
Vehicle blind area intelligent monitoring early warning and active risk prevention and control system and method
PendingCN121157902APedestrian/occupant safety arrangementSignalling/lighting devicesDriver/operatorControl signal
The invention discloses a vehicle blind area intelligent monitoring early warning and active risk prevention and control system, which comprises a sensing module, a central AI processing unit, an early warning module and an execution control module, and is characterized in that the sensing module is used for collecting vehicle blind area information in a full-dimension manner; the central AI processing unit is used for processing the information acquired by the sensing module, performing risk assessment according to the processed blind area information and the working state of the vehicle, sending an early warning signal to the early warning module, and sending a control signal to the execution control module; the early warning module is used for sending a risk type and grade signal which can be perceived by a driver according to an early warning signal output by the central AI processing unit; and the execution control module is used for outputting control and driving signals according to the control signal sent by the central AI processing unit, so that a corresponding vehicle power device acts, and active risk prevention is realized. The system effectively prevents and controls blind area collision accidents, adapts to various vehicle types such as cars, SUVs, light trucks and heavy trucks, and does not need to redesign a hardware architecture.
Owner:张显武
Whole vehicle power hardware-in-loop simulation test system and method under P2.5 +P4 hybrid architecture
The invention discloses a whole vehicle power hardware-in-the-loop simulation test system and method under a P2.5 + P4 hybrid architecture. The whole vehicle power hardware-in-the-loop simulation test system comprises a controller, a test cabinet and an upper computer system, the hybrid power gearbox control system is electrically connected with the high-voltage control system; the test cabinet is electrically connected with the hybrid power gearbox control system, the high-voltage control system and the upper computer system; the upper computer system comprises a management module, a signal interface module, a controller interface module and a virtual simulation vehicle module, the management module is connected with the test cabinet and the signal interface module, and the signal interface module is used for realizing signal interaction between the controller interface module and the management module; the controller interface module is connected with the signal interface module, the Soft ECU module and the power simulation module. Standardized development of the power simulation test system is realized, the modular design supports rapid adaptation of different vehicle type platforms and power architectures, and repeated development is reduced.
Owner:ANHUI JIANGHUAI AUTOMOBILE GRP CORP LTD
Wiring harness assembling method of vehicle roof and electronic equipment
The embodiment of the invention relates to the technical field of robot control, and discloses a wire harness assembling method for a vehicle ceiling and electronic equipment, the wire harness assembling method for the vehicle ceiling is applied to a mechanical arm, and the method comprises the steps of obtaining a vehicle image of a current vehicle; determining a current vehicle type corresponding to the current vehicle according to the vehicle image; based on the current vehicle type, a preset parameter mapping library is determined and inquired, control parameters corresponding to the current vehicle type are determined, and the control parameters comprise an assembly track and force control parameters; and according to the assembly track and the force control parameters, a mechanical arm is controlled to conduct wire harness assembly on the car roof of the current car model. The vehicle model of the current vehicle is determined, the control parameters corresponding to the current vehicle model are determined by using the preset parameter mapping library, and the mechanical arm is controlled to perform wire harness assembly on the vehicle roof of the current vehicle model through the assembly track and the force control parameters, so that the assembly cost can be reduced.
Owner:PAXINI TECHNOLOGY (SHENZHEN) CO LTD
Vehicle-type travelling apparatus
The application relates to a vehicle type traveling equipment. The vehicle type traveling equipment comprises a cutting assembly, a chassis, a cutting motor, a detection device and a control device. The cutting assembly comprises a mowing element for mowing. The chassis supports the cutting assembly. The cutting motor is arranged to drive the cutting assembly. The detection device detects a first operating parameter and a second operating parameter of the cutting motor. The control device controls the cutting motor to stop or slow down when the first operating parameter is in a first threshold range and the second operating parameter is in a second threshold range for a first preset time. The second operating parameter is different from the first operating parameter, and the second operating parameter at least comprises a rotating speed of the cutting motor. The application improves the accuracy of judging whether the cutting assembly works normally, and further improves the safety factor of the vehicle type traveling equipment.
Owner:NANJING CHERVON IND
Intelligent analysis method and system for energy consumption of logistics vehicle
The invention discloses an intelligent analysis method and system for logistics vehicle energy consumption, and belongs to the technical field of vehicle energy consumption. The method comprises the steps that after historical vehicle data are received, a summary sheet is generated according to classification of brands, models and registration years, the average energy consumption of classification units meeting conditions is calculated, and a three-dimensional energy consumption rule is established; and after the attribute information of the target vehicle is received, performing matching search in the three-dimensional rule, and if a matching rule exists, taking the corresponding average energy consumption as the unit predicted energy consumption value of the vehicle. According to the scheme, differentiated energy consumption rules are made for logistics vehicles of different brands, vehicle types and registration years, a traditional unified prediction mode is replaced, prediction accuracy can be improved, and unified maintenance and management are facilitated.
Owner:小铁马科技有限公司
Control method and system for adjusting road tunnel illumination based on dynamic traffic
The invention belongs to the technical field of road tunnel illumination, and particularly relates to a control method and system for adjusting road tunnel illumination based on dynamic traffic, which comprises the following steps: firstly, acquiring vehicle information through a high-definition camera array, a microwave radar detector and an illumination intensity sensor in a multi-source manner, then preprocessing the multi-source data, and applying an algorithm to adjust the illumination of a road tunnel; traffic flow statistics and trend prediction, vehicle driving state analysis and vehicle type accurate classification statistics are realized; based on this, the traffic flow is counted and predicted in real time through the dynamic traffic information acquisition and analysis module, the illumination brightness reference value is set and corrected based on the traffic flow by combining the multi-dimensional illumination parameter intelligent decision module, and then the illumination execution and dynamic adjustment module accurately executes the brightness instruction. The method has the advantages that the illumination brightness is dynamically matched with the traffic flow, the traffic safety requirement during high traffic flow is met, and energy waste during low traffic flow is avoided.
Owner:BEIJING BENUWAY TECH CO LTD
Multi-source remote sensing collaborative identification method and system for road passing height-limiting obstacles
The invention provides a multi-source remote sensing collaborative recognition method and system for road passing height-limiting obstacles, and relates to the technical field of road height-limiting recognition. Pixel-level elevation statistics is carried out by moving a sliding window in an elevation information block to position M height-limiting obstacles, and then clearance height calculation is carried out to correct and output M reference height-limiting heights to be projected to a passing road network; and according to the vehicle type of the freight vehicle and the real-time load information, height-limited negative compensation is carried out to output a dynamic passing height so as to traverse a passing road network to locate R feasible routes and display the R feasible routes to a vehicle-mounted display screen of the freight vehicle. The technical problems that in the prior art, due to the fact that manual inspection is relied on for height limiting obstacle state monitoring, the height limiting state is not updated in time, and due to the fact that a static height threshold value is adopted for vehicle height limiting passing judgment, large vehicle passing path planning is affected are solved. The technical effects of dynamically tracking the state change of the height-limiting obstacle and the passing height of the vehicle and carrying out precise path planning and visual navigation of the large vehicle are achieved.
Owner:CHINA AERO GEOPHYSICAL SURVEY & REMOTE SENSING CENT FOR LAND & RESOURCES
Boost charging control method and device
PendingCN122034775ACharging stationsElectric vehicle charging technologyElectrical batteryCharge control
The invention discloses a boost charging control method and device. The method comprises the following steps: acquiring an insulation detection voltage of a charging pile and a maximum allowable voltage of the charging pile; if the charging pile insulation detection voltage and the charging pile maximum allowable voltage meet a preset judgment condition, the vehicle is controlled to enter a direct connection charging mode; in the direct connection charging mode, the current voltage of a vehicle battery pack is obtained; and if the current voltage of the battery pack meets the preset switching condition, the vehicle is controlled to be switched from a direct connection charging mode to a boost charging mode. According to the method, intelligent and accurate judgment of the output capacity of the charging pile is achieved, a dynamic optimization charging strategy is implemented in the single charging process, and the problems that the charging compatibility of a high-voltage platform vehicle type is poor, and the charging efficiency is limited by a traditional boosting scheme are solved.
Owner:VOYAH AUTOMOBILE TECH CO LTD
Priority-based charging pile power dynamic distribution system and method
PendingCN121105870ACharging stationsElectric vehicle charging technologyControl engineeringDistribution system
The invention discloses a priority-based charging pile power dynamic distribution system and method, and relates to the technical field of electric vehicle charging. Comprising a vehicle information acquisition module, a charging pile state monitoring module, a priority evaluation module, a power distribution module and a user interaction module, wherein the vehicle information acquisition module is used for acquiring a current SOC value, a target SOC value, vehicle demand power, a vehicle type, a user type and a payment mode of a vehicle in real time; the charging pile state monitoring module is used for monitoring the number of modules, the number of used modules and the number of remaining modules of the charging pile in real time. According to the priority-based charging pile power dynamic distribution system and method provided by the invention, the charging priorities of the vehicles are evaluated, the charging pile modules are reasonably distributed, and meanwhile, it is ensured that the vehicles with small demands occupy at least one power module, so that the problems that the vehicles with small demands occupy too many modules and the vehicle modules with large demands are not enough are solved; and the use efficiency and the user experience of the charging pile are improved.
Owner:SHAANXI GREEN ENERGY ELECTRONIC TECH CO LTD
Device for transferring vehicles in workshop
PendingCN120922018AItem transportation vehiclesVehicle with loading rampLinkage (mechanical)Three-Wheeler Vehicles
Owner:安徽丰源装备科技有限公司
Quantitative decision-making method for electric vehicle fire safety three-level evaluation system
The invention discloses a quantitative decision-making method for an electric vehicle fire safety three-level evaluation system. The quantitative decision-making method comprises the following steps: step 1, constructing a three-level evaluation index system; 2, performing quantitative scoring on the three-level indexes by the plurality of large language models to obtain an expert comprehensive scoring vector of each large language model; 3, calculating a subjective weight vector W (x) of each level of index according to the expert comprehensive scoring vector, and if the consistency ratio CR does not meet the consistency requirement, iteratively correcting W (x) by adopting a power method to obtain an initial weight vector system W; 4, introducing a fire news collection agent to generate a vehicle type subtraction item delta G and an accident cause amplification coefficient (1 + delta), and obtaining a subjective weight vector system W'after dynamic correction; and step 5, calculating a comprehensive score Sfinal, dividing fire risk grades, and generating a visual report. According to the invention, a three-level index system is constructed and a fire news collection agent is introduced, so that the timeliness and adaptability of the system are significantly improved.
Owner:TIANJIN UNIV
Sequence-based vehicle type category correction method and device
The invention discloses a sequence-based vehicle type category correction method and device, and relates to the technical field of intelligent traffic systems, and the method comprises the steps: obtaining a vehicle detection model, and collecting a backflow video data set; traversing the set, detecting each frame of vehicle target by using the model, and associating cross-frame targets by using a target tracking technology to obtain a vehicle trajectory and form a plurality of vehicle target sequences; traversing the sequence to count vehicle types, and correcting the vehicle types according to a statistical result to obtain a plurality of corrected vehicle target sequences; identifying a missing detection frame based on an original sequence, predicting a missing detection target position, and obtaining a plurality of missing detection data sets; and iteratively updating the vehicle detection model in combination with the correction sequence, the missing detection data and the original sequence. According to the invention, the technical problems of vehicle type judgment errors and target detection deficiency due to the fact that multi-frame associated information is not combined in a traffic scene in traditional vehicle detection are solved, and the technical effects of improving the vehicle type detection accuracy and integrity and realizing continuous optimization of the detection capability are achieved.
Owner:AI SUPER EYE TECH CO LTD
Engineering vehicle self-adaptive vehicle washing system and control method
PendingCN121572920ACleaning apparatus for vehicle exteriorsCleaning using liquidsNerve networkIndustrial engineering
The invention relates to a self-adaptive vehicle washing system for an engineering vehicle and a control method. According to the self-adaptive vehicle washing system for the engineering vehicle and the control method, the existence, contour and dirt characteristics of the vehicle are automatically detected through the sensing recognition system, the cleaning logic is autonomously executed in combination with the intelligent control system, vehicle guiding, equipment starting and stopping and washing operation do not need to be manually intervened, the cleaning efficiency is improved, and the working efficiency is improved. And continuous operation requirements of industrial scenes such as metallurgy and mines are met. The spray washing system adopts a top spray head and a lateral spray head which can move longitudinally and transversely to be matched with a fixed chassis spray head, and contours of different vehicles can be accurately covered; according to the method, grating sensing data and an image recognition result are fused through a lightweight convolutional neural network, the vehicle type and the dirt adhesion level are accurately judged, the water pressure, the nozzle angle and the cleaning time are dynamically adjusted, optimal matching of cleaning parameters is achieved, the water consumption and energy consumption are reduced, and meanwhile a cleaning program is continuously optimized through machine learning.
Owner:YUNNAN CHIHONG ZN & GE CO LTD
Vehicle overrun type detection method and system based on wagon balance vibration and point cloud data
The invention provides a vehicle over-limit type detection method and system based on wagon balance vibration and point cloud data, relates to the technical field of intelligent traffic detection, and aims to solve the problems that in the prior art, misclassification is caused by dependence on single data, the over-limit types of a whole loading vehicle and a bulk vehicle are difficult to effectively distinguish, an over-limit management strategy is lack of pertinence and effectiveness, and the detection accuracy is poor. And real vibration characteristics and the like generated in the lockage process of the vehicle are difficult to accurately separate. According to the method, a wagon balance vibration signal and original vehicle point cloud data are obtained, processing and feature extraction are carried out, vibration features and point cloud geometric features are fused through an SVM classifier, a vehicle type and a loading state are obtained, and judgment is carried out based on a result. According to the method, the problems existing in the prior art are solved, misclassification caused by traditional single data detection is effectively avoided, the overrun types of the whole loading vehicle and the bulk vehicle can be effectively distinguished, high robustness can be still kept in an extreme environment, and misjudgment and missing detection are reduced.
Owner:SHANDONG EXPRESSWAY JINAN DEV CO LTD +1
Hazardous chemical substance transportation early warning system based on fuzzy neural network
The invention discloses a hazardous chemical substance transportation early warning system based on a fuzzy neural network, and relates to the technical field of traffic transportation and road safety monitoring. According to the hazardous chemical substance transportation early warning system based on the fuzzy neural network, road geometric influence in original data of a sensor is accurately stripped from dynamic response of a vehicle; according to the method, false risk signals caused by road design can be eliminated, the method focuses on instability risks really caused by dynamic factors such as vehicle control and load transfer, and the rollover risk can be judged more essentially and more accurately; converting the preprocessed characteristic quantity into a fuzzy linguistic variable, reasoning by simulating a fuzzy rule of human expert experience, and finally outputting continuous risk indexes and levels; the processing mode not only better conforms to the imprecise characteristic of risk assessment, but also enhances the adaptability and robustness of the system to different vehicle types, loads and road conditions.
Owner:JIANGXI RUI XUN EXPRESSWAY CO LTD +1
Highway charging load prediction method and control system based on traffic flow power
The application provides a highway charging load prediction method and control system based on traffic flow power. Through a second-by-second specific power model of different electric vehicle types on the highway, factors such as road slope, vehicle load, electric vehicle braking recovery characteristics, instantaneous speed and acceleration can be considered to achieve more accurate energy consumption modeling. By establishing a specific power operation mode distribution library of different vehicle types, using a shock wave model and a cellular transmission model to solve, quantifying the congestion propagation process, dynamically correcting the specific power calculation parameters, only the road section parameters and average speed are needed to calculate the energy consumption under complex road conditions. The driver's range anxiety is quantified as a dynamic variable, and charging decision rules are established for different scenarios. The charging probability is dynamically corrected based on the queue length, weather, and driver type, and an electric vehicle charging time prediction model is established based on different service area charging scenarios.
Owner:BEIJING SHOUFA IND & TRADE CO LTD +1
Digital twinning-based self-adaptive vehicle body and chassis combination method and system
The embodiment of the invention belongs to the technical field of vehicle assembly, and particularly relates to a digital twinning-based self-adaptive vehicle body and chassis combination method and system, and the method comprises the steps: building a digital twinning body based on a three-dimensional design model of a to-be-combined vehicle type; acquiring actual coordinate data of a positioning mechanism in a combination station, determining actual manufacturing deviation data of a chassis to be combined and a vehicle body to be combined, mapping the actual manufacturing deviation data to a digital twin, driving the digital twin to be synchronous with a physical entity state, simulating a combination process, and predicting an interference condition in the combination process; if the interference is predicted, calculating a position adjustment compensation amount delta P required by a positioning mechanism through an intelligent decision algorithm; and the adjustment compensation amount delta P is utilized to execute combination operation, and combination process data and the vehicle identifier are recorded and stored in a binding manner. Accurate prediction and self-adaptive adjustment in the assembly process are achieved, finally, the assembly quality, production flexibility and efficiency are remarkably improved, and whole-process data tracing is formed.
Owner:ZHONGTONG BUS HLDG
String area delivery identification method and device, computer equipment and storage medium
The invention relates to the technical field of logistics distribution management, and provides a string area delivery identification method and device, computer equipment and a storage medium, and the method comprises the steps: screening an effective record of which the delivery mode is internal delivery from a waybill table, and removing a whole vehicle type waybill and an internal part type waybill; counting the waybills in the same track from the waybill table according to receiving areas, wherein the receiving area with the most counted votes is a delivery area; waybills of the main delivery district are removed from the waybill table, and whether the remaining waybills are string district problem bills or not is judged; and for each string area problem ticket, according to the sum of the actual distances of the string area problem ticket and the adjacent main delivery district and the linear distance of the adjacent main delivery district corresponding to the string area problem ticket, obtaining a distance increasing value so as to generate an analysis result corresponding to each string area problem ticket, and completing string area delivery identification. The method is suitable for intelligent scheduling and optimization of delivery services in logistics enterprises, and solves the problems of extensive delivery identification and unreasonable resource allocation in the prior art.
Owner:SHENZHEN LEAPFROG NEW TECH CO LTD
Unmanned aerial vehicle radio frequency fingerprint identification method for different signal-to-noise ratios based on time-frequency graph
The invention belongs to the technical field of radio frequency identification, and particularly relates to an unmanned aerial vehicle radio frequency fingerprint identification method for different signal-to-noise ratios based on a time-frequency graph. The invention provides a radio frequency fingerprint identification method for different signal-to-noise ratios based on a time-frequency graph and a YOLOV8 image identification technology on the basis of a traditional unmanned aerial vehicle radio frequency signal fingerprint identification technology, and the method mainly comprises the steps: constructing a new training data structure, specifically, converting an IQ signal into the time-frequency graph, and carrying out the recognition of the time-frequency graph and the YOLOV8 image identification technology. And then performing arrangement according to the unmanned aerial vehicle type (J), the signal bandwidth (B), the signal frequency band (F) and the signal-to-noise ratio (R) to obtain a structured data set, and performing identification by using an improved YOLOV8 model. Compared with the prior art, the method further improves the accuracy and speed of unmanned aerial vehicle identification, and is a scheme for identifying the model of the unmanned aerial vehicle on the hardware level without information matching. According to the method, high sensitivity of the model to a low-signal-to-noise-ratio signal is kept, and meanwhile, a large amount of misrecognition caused by low confidence is effectively inhibited.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Expressway traffic data analysis method based on ETC system
The invention belongs to the field of expressway traffic data analysis, and relates to an ETC system-based expressway traffic data analysis method, which comprises the following steps of: acquiring original vehicle passing data streams which are acquired by all ETC gantries in a preset time period of a monitored road section and comprise vehicle identifiers, passing timestamps, portal position codes and vehicle type codes; analyzing the original vehicle passing data flow to generate vehicle speed individual dynamic features and vehicle type group static features, constructing a multi-dimensional risk data set with road segment identifiers and time windows as indexes, and inputting the multi-dimensional risk data set into a pre-trained deep learning model, and outputting an accident potential probability value result, executing early warning state judgment based on a probability gradient judgment rule, generating an accident risk thermodynamic diagram of the monitored road section according to the early warning state, and feeding back the accident risk thermodynamic diagram, thereby effectively solving the problems of insufficient prospective prediction and low regional accident potential assessment precision in the prior art. And the timeliness and the accuracy of traffic risk assessment are obviously improved.
Owner:HUNAN EXPRESSWAY INFORMATION TECH CO LTD +1
Highway service area safety prevention and control method and system based on artificial intelligence
PendingCN120747859ACharacter and pattern recognitionBiological modelsPoor Quality ImageImaging quality
The invention discloses a highway service area safety prevention and control method and system based on artificial intelligence, and relates to the technical field of highway service area safety prevention and control. Through an environment adaptive dynamic compensation mechanism, the problems of poor image quality, detail loss, high noise and the like under different light conditions are effectively solved, the details of the image are supplemented, and the image quality is improved; an image recognition detection algorithm is utilized to accurately record information such as pedestrian flow and vehicle types, and a reliable basis is provided for safety risk prevention and control; the vehicle circulation rate, the population circulation rate and the dangerous chemical risk degree are integrated to calculate the actual risk degree of the danger, and the potential risk of the service area can be comprehensively reflected, so that a scientific, reasonable and targeted safety risk prevention and control scheme is formulated. The speed reduction condition of the vehicle is monitored and reported in real time, the safety management efficiency of the service area is effectively improved, the accident rate is reduced, and safe operation of the expressway service area is guaranteed.
Owner:GUANGXI NEW DEV TRANSPORT GRP CO LTD