47 results about "Mobile traffic" patented technology

The invention discloses a road traffic flow management and control system based on a mobile road cone. The road traffic flow management and control system comprises a data transmission module (1), a scheme generation module (2), a field management and control module (3) and an energy storage and charging module (4), the data transmission module (1) is used for transmitting a control instruction issued by a traffic manager to the scheme generation module (2); the scheme generation module (2) is used for receiving an instruction issued by a traffic manager and generating a moving path scheme and a formation scheme; the field management and control module (3) is used for moving a mobile road cone (6) to a target position according to the mobile path scheme and the formation scheme to form a preset formation management and control traffic flow; and the storage and energy charging module (4) is used for charging the movable road cone (6). Manual on-site operation is not needed, the coverage range is far, the intelligent degree is high, and response is rapid.

The invention relates to the technical field of traffic signal lamps, and discloses a mobile traffic signal lamp with an intelligent network connection function, which comprises a traffic signal lamp module and a control system which are mutually connected, and is characterized in that the traffic signal lamp module comprises a traffic signal lamp body, a camera, a solar charging panel and a storage battery; the camera and the solar charging panel are installed on the traffic signal lamp body, and the storage battery is installed in the traffic signal lamp body. The control system comprises a signal control machine, a channel driver, a cloud platform and a charging controller, the signal control machine is connected with the cloud platform and the channel driver, the channel driver is connected with the traffic signal lamp body, the charging controller is connected with the solar charging panel and the storage battery, and the charging controller is used for controlling the solar charging panel to charge the storage battery. According to the invention, through the intelligent network connection technology, remote monitoring and control of the traffic signal lamp module are realized, and the efficiency and flexibility of traffic management are improved.

The invention provides a mobile traffic prediction method and device based on a diffusion model, and relates to the technical field of mobile traffic prediction.The method comprises the steps that on the basis of obtained historical mobile traffic, noise mobile traffic and dynamic characteristics of the historical mobile traffic are determined, and the noise mobile traffic is the mobile traffic added with noise; the noise priori estimation unit based on the diffusion model is used for carrying out noise estimation on the noise movement flow and the dynamic characteristics to obtain noise priori, and carrying out noise prediction on the noise movement flow based on a denoising network of the diffusion model to obtain residual noise; and performing flow prediction according to the noise prior, the residual noise and the noise moving flow to obtain future moving flow. According to the invention, the accuracy of mobile traffic prediction can be improved.

The invention relates to the technical field of traffic signals, in particular to a movable intelligent traffic light which comprises a vehicle body, a signal lamp assembly, a camera shooting part and a control assembly, wheels are arranged at the bottom of the vehicle body, an energy part is arranged in the vehicle body, an audio playing module is further arranged on the vehicle body, and the signal lamp assembly is arranged at the top of the vehicle body. The bottom of the signal lamp assembly is fixedly connected with the top of the vehicle body, the camera part is arranged at the top of the signal lamp assembly, and the mounting end of the bottom of the camera part is fixedly connected with the top of the signal lamp assembly. The intelligent mobile traffic light system provided by the invention not only effectively solves the traffic safety management problem in special areas, but also improves the urban traffic management through the characteristics of high efficiency, flexibility and low cost.

The application discloses the field of flow data processing, and proposes a mobile flow classification method based on a multi-scale pyramid token sliding window. Different scale sliding windows are designed based on the pyramid pooling principle to perform multi-granularity segmentation on token sequences, better capture the distribution characteristics and perform embedded representation, and then convert the fragments into fixed-length vector representation through the multi-scale sliding window mechanism, effectively fuse the multi-scale features, and apply LSTM for deep feature extraction, capture the forward and backward time sequence dependence relationship in each sub-sequence fragment, and introduce the attention mechanism in each time step output, and strengthen the key feature and the feature representation of the difficult classification and easily confused category. The application solves the classification boundary ambiguity and performance bottleneck problem caused by the single scale feature extraction and the lack of effective feature fusion strategy in the existing mobile flow classification method, and improves the classification accuracy.

The utility model provides mobile traffic warning equipment, and relates to the technical field of traffic warning equipment. The mobile traffic warning equipment comprises two square frames and four supporting rods, and the four supporting rods are installed among the four corners of the two square frames to form a frame structure. According to the mobile traffic warning equipment, the warning box capable of sliding up and down is arranged in the frame formed by the square frame and the supporting rods, when the equipment needs to be used, the warning box slides to the top of the equipment, and the position of the warning box is fixed through the limiting assembly, so that people in the distance can better observe the warning box, and the use safety of the equipment is improved. When the equipment needs to be moved, the warning box slides to the bottom of the equipment and is matched with a limiting assembly to fix the position of the equipment, and universal wheels at the bottom of the warning box are used for rapidly moving the whole equipment, so that the equipment is convenient to move, and the using effect of the equipment can be further improved; and practical application and operation are facilitated.

The invention provides a mobile network traffic processing method and device based on a general prediction model, and the method comprises the steps: segmenting target mobile network traffic corresponding to a target prediction task based on a number element segmentation unit of the general prediction model, and obtaining a mobile number element sequence; based on a space-time mask mechanism of the general prediction model and a task type corresponding to the target prediction task, performing mask processing on the mobile number element sequence to obtain a mask sequence; and based on a prediction task processing layer of the general prediction model, performing task processing on the target environment data corresponding to the mask sequence and the moving number element sequence to obtain target prediction data corresponding to the target prediction task. According to the method, the problems of task splitting, insufficient model generalization, high engineering deployment complexity and the like of a current mobile traffic prediction method are solved; multiple types of mobile traffic prediction tasks can be processed at the same time, and excellent migration ability and task adaptation ability are achieved; and the generalization performance and robustness of the model under multiple cities and multiple tasks are improved.

The invention belongs to the field of network traffic classification, and discloses a network traffic classification method and system based on dual position coding and a mixed mask mechanism, and the method comprises the steps: segmenting input network traffic according to time slices, and generating structured traffic representation based on a source address, a destination address, a source port, a destination port and a transmission protocol; inputting the stream data subjected to double-position coding into a Transform-based coding model, and introducing a mixed mask mechanism in an attention calculation process to balance the byte dependency relationship in a packet and between packets; and obtaining a classification result output by the coding model, performing judgment according to a preset confidence threshold, if the confidence of the classification result is within a preset confidence interval, executing stream caching and reconstruction processing, otherwise, directly outputting the classification result. According to the method, the accuracy and robustness of encrypted traffic classification and attack detection can be effectively improved, and the method is suitable for Internet of Things traffic, mobile traffic and cross-platform complex network environments.

A solar intelligent collision early warning mobile signal lamp relates to the field of traffic safety. In order to solve the technical defect that a signal lamp capable of realizing effective monitoring and timely early warning is not disclosed in the prior art, the technical scheme provided by the utility model is as follows: the signal lamp comprises a signal lamp main body; the solar cell panel is used for converting solar energy into electric energy; the LED signal lamp module is used for displaying traffic indication signals; the battery compartment is used for storing electric energy converted by the solar cell panel, and an intelligent signal control machine, a sensor data acquisition module and a communication module are arranged in the electronic control cabin; the sensor module comprises a temperature sensor, an acceleration sensor and a GPS positioning module which are respectively arranged at different positions of the main body; the sensor module sends acquired monitoring data to the sensor data acquisition module. The method is suitable for mobile traffic signal lamp safety control work requiring real-time monitoring and remote management.

The utility model discloses an intelligent mobile traffic cone which comprises a cone body, a base arranged at the bottom of the cone body and a walking mechanism installed at the bottom of the base. The bottom of the cone is provided with a first cabin, the top of the cone is provided with a downwards-sunken storage groove, and a second cabin is formed between the first cabin and the storage groove; a cylindrical air bag is arranged in the storage groove, the bottom of the air bag is fixedly connected with the bottom wall of the storage groove, an equipment mounting seat is fixed to the top of the air bag, and an image acquisition device is mounted on the equipment mounting seat; the image acquisition device is mounted on the equipment mounting seat through the universal holder; an inflation and deflation port is formed in the side part of the air bag; a controller and a wireless communication module in signal connection with the controller are arranged in the second cabin; the walking mechanism and the image acquisition device are respectively in signal connection with the controller; a first warning indicator arranged along the side wall of the cone is arranged outside the second cabin; a storage battery is arranged in the first cabin and electrically connected with the walking mechanism, the image collecting device and the controller.

The present invention provides a CSS web page animation compression method, system, device and storage medium. The method includes: performing video recognition on a first animation medium, and sequentially dividing the first animation medium into a plurality of video segments based on frame similarity, each segment containing a plurality of video frames; obtaining a standard video frame from each video segment, where the average value of the image similarity between the standard video frame and other video frames in the video segment is the highest; comparing the standard video frame with other video frames in the same video segment respectively to obtain a static region, a plurality of dynamic regions and image restoration information of the video segment; generating a media file jointly based on the static regions, the plurality of dynamic regions and the image restoration information of the video segments corresponding to all the video segments of the first animation medium, and the capacity of the media file is smaller than that of the first animation medium. The present invention can reduce the capacity of web page animations, save mobile traffic, speed up page refresh speed and improve user experience.

The utility model relates to the technical field of mobile vehicles, and particularly discloses an adjustable rear wheel expansion device which comprises a device body. A front case; a rear housing; the connecting assembly is arranged between the front shell and the rear shell, one end of the connecting assembly is slidably connected with the front shell in the front-back direction, and the other end of the connecting assembly is fixedly connected with the rear shell; the first rear wheel assembly and the second rear wheel assembly are arranged on the two opposite sides of the rear shell respectively; the expansion assembly can apply a first acting force to the first rear wheel assembly and the second rear wheel assembly, the first acting force enables the first rear wheel assembly and the second rear wheel assembly to move oppositely, and the expansion assembly can apply a second acting force to the first rear wheel assembly and the second rear wheel assembly; the second acting force enables the first rear wheel assembly and the second rear wheel assembly to move relatively. According to the adjustable rear wheel expansion device, the distance between the rear wheels is adjusted, and the performance of the device in the aspects of the stability and the bearing capacity of the rear wheels is improved.

1. The name of the design product: mobile traffic guidance vehicle. 2. The use of the design product: for traffic monitoring and driving guidance. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

The utility model relates to the technical field of support platforms, in particular to a support platform of traffic meteorological mobile observation equipment, which comprises a fixed connecting rod, a lifting rotating structure is connected onto the end face of the fixed connecting rod, an angle adjusting structure is connected onto the lifting rotating structure, a camera is connected onto the angle adjusting structure, and the camera is connected onto the fixed connecting rod. A controller is connected to the end face of the fixed connecting rod, the lifting rotating structure comprises a connecting vertical rod, the connecting vertical rod is connected to the end face of the fixed connecting rod, a movable box body is connected to the side wall of the connecting vertical rod, and a lifting motor is connected to the side wall of the movable box body through a connecting base; according to the utility model, the angle adjusting structure is arranged in the support platform of the traffic meteorological mobile observation equipment, so that the elevation angle of the camera in use can be adjusted by using the driving motor in the angle adjusting structure through the transmission structure, and the monitoring distance can be wider.

This invention relates to the field of traffic data processing and classification, and proposes a mobile traffic classification method and system based on spatiotemporal hybrid representation learning. Through a preprocessing mechanism of feature hierarchical screening and dynamic noise filtering, the quality of the original traffic feature input is optimized. Subsequently, attention-guided feature interaction is added in the micro-fusion stage to strengthen the nonlinear correlation of spatiotemporal features within a single time step. Furthermore, in the macro-fusion stage, a cross-scale feature alignment and temporal-spatial attention interaction mechanism is designed to avoid the limitations of traditional independent modeling. Finally, the classification module is optimized by combining a class-adaptive loss adjustment strategy to adapt to the sample distribution differences of different traffic types. This invention achieves deep spatiotemporal feature fusion and improves the accuracy of mobile traffic classification.

The application belongs to the technical field of mobile traffic prediction, and particularly relates to a cross-domain transfer spatio-temporal integrated network method, comprising the following steps: S1, constructing an integrated learning model, using integrated learning to initially train a basic learner, and combining a spatio-temporal network to capture spatio-temporal features, which is used to overcome the instability and overfitting defects existing in a multi-dimensional spatio-temporal cross-domain environment, wherein the integrated learning model comprises a traffic data set structure, spectral clustering, a long short-term memory (LSTM) and a convolutional neural network (CNN). The application proposes a new transfer learning algorithm, which trains a mobile traffic prediction model from source domain data rich in data, and then migrates the model to a mobile edge network environment with sparse data, so as to improve the prediction accuracy of the model, and at the same time proposes a new transfer mapping framework, that is, learning a reflection function from experience data and optimizing the reflection function to predict when to migrate or how to transfer to obtain the best prediction performance.

To provide a mobile object traffic control system that controls traffic of a mobile object in real space with high accuracy.SOLUTION: A sensor device acquires image sensor data composed of point clouds in the real space. A server device generates a digital twin based on the image sensor data composed of the point clouds in the real space, and generates a map on which a virtual obstacle for controlling the traffic of the mobile object is placed on the digital twin. The mobile object generates a travel route of the mobile object in the real space based on information related to the map including the virtual obstacle, and controls each drive mechanism for travel.SELECTED DRAWING: Figure 3

The invention discloses a multi-communication module fusion transmission method, which comprises the following steps that: firstly, a main control module analyzes downlink data issued by an upper computer and determines a service type to which the downlink data belongs; meanwhile, the main control module can collect various transmission quality indexes of each communication module, so as to evaluate the signal quality score of each communication module. Then, the main control module can select a corresponding communication module and a corresponding transmission frequency band to transmit the received downlink data according to a set decision rule in combination with the service type of the downlink data and the signal quality score of each communication module. And finally, based on the selected transmission frequency band and the service type, through the constructed joint optimization model, distributing transmission power of each communication module used for transmitting downlink data. Therefore, the network coverage range is expanded, the coverage blind area is reduced, the repeated construction is reduced, the resource waste is avoided, and the seamless connection requirement of the mobile traffic of the terminal between the networks is met.

1. The name of the design product: mobile traffic signal. 2. The use of the design product: the design product is used for the emergency traffic signal command of the vehicle-road cloud integrated new system test road. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention relates to the technical field of traffic signal control, in particular to a mobile traffic signal lamp control method and system based on photovoltaic power generation. The method comprises the following steps: acquiring data of a mobile traffic signal lamp control area, dividing the data into a plurality of control sub-areas, deploying a multi-parameter acquisition device for the mobile traffic signal lamp in each control sub-area, and acquiring multi-parameter data of the current control sub-area in real time; dividing three-level traffic pressure threshold values of the sub-regions, comparing the multi-parameter data to determine the grade of the current control sub-region, and adjusting signal lamp control data of the current control sub-region; linkage of multiple control sub-regions is carried out, master and slave control nodes are dynamically replaced, and multi-region linkage is carried out according to regional traffic pressure; the system comprises a current area multi-parameter acquisition module, a signal lamp three-level dynamic management module and a multi-area linkage module. Through the mode, multi-area dynamic linkage is realized, so that the traffic management efficiency and the environmental protection property are improved, and diversified traffic scene requirements are met.

The invention provides a flow statistical method and electronic equipment, the method is applied to first electronic equipment, a first SIM card is arranged in the first electronic equipment, the first SIM card is associated with a first phone number, the method comprises the following steps: displaying a first interface, and displaying a first control in the first interface; the first control corresponds to a second SIM card associated with the first phone number; the second SIM card is arranged in second electronic equipment; and a selection operation for the first control is detected, a second interface is displayed, and mobile traffic information corresponding to the second SIM card is displayed in the second interface. The mobile traffic use condition of other electronic devices associated with the same phone number can be checked on one electronic device, the user operation is reduced, and the user experience is improved.

A vehicle detection device of an urban traffic intelligent control system disclosed by the present invention comprises a moving seat, a mounting column is mounted at the upper end of the moving seat, traffic lights are mounted on the four sides of the mounting column, a lifting screw is in threaded connection in a threaded groove, a rotating rod is fixed at the bottom of the lifting screw, and the rotating rod is fixed at the bottom of the rotating rod. And the rotating rod is rotationally connected with the inner bottom of the rectangular groove, a mounting plate is fixed to the upper end of the rectangular column, four cameras with adjustable angles are mounted at the upper end of the mounting plate, and the cameras can detect the vehicle. Flexible moving and stable supporting can be achieved, and different detection requirements can be met by adjusting the height and angle of the camera; according to the invention, illegal vehicles can be detected, the defect that an existing mobile traffic light is single in function is overcome, illegal driving behaviors are effectively reduced, the traffic accident probability is reduced, and the traffic safety level and the road traffic efficiency during temporary traffic control are improved.

The invention relates to the field of traffic data processing and classification, and provides a mobile traffic classification method and system based on space-time mixed representation learning, which optimizes the input quality of original traffic features through a preprocessing mechanism of feature hierarchical screening and dynamic noise filtering, and then adds attention-guided feature interaction in a microscopic fusion stage so as to realize the classification of the traffic data. Non-linear correlation of spatial-temporal features in a single time step is enhanced, a cross-scale feature alignment and time sequence-space attention interaction mechanism is designed in a macroscopic fusion stage, limitation of traditional independent modeling is avoided, finally, a classification module is optimized in combination with a category adaptive loss adjustment strategy, sample distribution differences of different flow types are adapted, and the flow rate is improved. According to the invention, deep fusion of spatial-temporal features is realized, and the accuracy of mobile traffic classification is improved.

The invention relates to the technical field of intelligent monitoring, in particular to a mobile traffic safety reminding device based on artificial intelligence, which comprises a data acquisition module and an unmanned aerial vehicle, and further comprises a construction module, a simulation module, a monitoring module and a warning module, and judging whether the vehicle completes the guidance task according to the real-time track and the continuous image of the vehicle, if not, determining that the vehicle is abnormal, issuing a warning voice to the abnormal vehicle, and predicting the abnormal vehicle track of the abnormal vehicle according to the continuous image. And generating an avoidance track for vehicles around the abnormal vehicle according to the abnormal vehicle track through the virtual road model, continuously collecting images of the surrounding vehicles, and continuously issuing prompt voice to the surrounding vehicles until the surrounding vehicles enter the avoidance track, so as to help a traffic control department to judge the state of a driver. And the waste of human resources of the traffic management department in the traffic safety reminding process is reduced.

The utility model discloses a movable traffic signal lamp, which is applied to the field of signal lamps and comprises a shell, an energy storage battery is bolted in the shell, a barrel is welded at the top of the shell, a hydraulic cylinder is bolted in the barrel in a penetrating manner, a fixing part is mounted at the output end of the hydraulic cylinder, and a movable traffic signal lamp is mounted in the fixing part. Four signal lamp units are installed at the middle end of the fixing piece, a through groove is formed in the top of the cylinder body, a fixing frame is connected to the bottom of the shell in a bolted mode, four fixing blocks are arranged in the fixing frame, and a connecting rod and a threaded rod are welded to one side and the bottom of each fixing block respectively. According to the technical scheme, the storage and protection functions can be achieved, attachment of dust in the idle process can be reduced, the safety in the transportation and carrying process can be improved, practicability is high, meanwhile, the stability of the device can be improved, operation is easy and convenient, the contact range between the bottom and the ground is enlarged, and the wind-resistant and anti-toppling effects are improved.

The utility model relates to a temporary mobile traffic signal lamp, which comprises a signal lamp and a mobile platform, and is characterized in that the mobile platform comprises a driving walking part located at the bottom and a driving assembly; the driving walking part comprises two driving walking wheels which are oppositely arranged, and the driving assembly comprises a driving motor used for outputting torque; a driving steering part is arranged on the front side of the moving platform and comprises a steering driving motor, a steering transmission set, a steering inclined strut and a steering wheel. The signal lamp comprises a lamp holder, and the lamp holder is installed on the moving platform in a lifting mode through a lifting assembly. According to the utility model, the traffic lights can be moved and arranged more easily, the labor cost is reduced through a motor driving mode, the height of the traffic lights can be adjusted, and the working requirements of different scenes can be met.

The present invention provides a centralized cloud-edge collaborative wireless communication traffic prediction method, including: describing mobile traffic prediction as a discrete wavelet transform process and implementing linear part prediction through machine learning; constructing a residual network, taking community users with similar characteristics within a region as a cluster, and the edge server quickly aggregates data of the same cluster to form a global model of the cluster; decomposing the complex characteristics of multi-source and cross-domain model data through the Lasso algorithm, calculating the correlation between spatio-temporal features, and combining XGboost to construct an optimal weight allocation mechanism for community traffic features; XGBoost processes the non-linear relationships and the mutual dependencies between variables in the model through CART trees, captures deep features, and performs non-linear prediction on mobile traffic; reconstructing the prediction results of the linear and non-linear parts through wavelet reconstruction. The present invention can improve the performance of the global model for predicting wireless communication traffic obtained through machine learning training, and improve the accuracy and real-time performance of wireless communication traffic prediction.

The invention belongs to the field of intelligent traffic and sight prediction, and discloses a sight prediction method based on head dynamics and a first-person view angle video. The method comprises the specific steps that an inertial measurement unit is used for collecting head dynamic data, a GoPro camera obtains a first person view angle video, and sight line coordinates obtained by a wearable eye tracker serve as training labels; after the resolution of the video is reduced, key object features are extracted by using YOLOv5s, optical flow features are calculated by using an optical flow algorithm, and global gray features are extracted and normalized at the same time; two types of data are respectively processed through a video frame encoder and an IMU encoder, and after features are spliced, a prediction result and real coordinates are visualized in a video frame through network training. According to the invention, through multi-modal feature fusion, sight prediction in a micro-mobile traffic scene is realized, a low-cost and high-performance technical scheme is provided for safety early warning and management of micro-mobile traffic, and the method can be widely applied to scenes of riding safety monitoring, traffic flow optimization and the like.

1. Name of the product in this design: Mobile traffic cone (sheet metal). 2. Purpose of this design: for road warning or isolation. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.