107 results about "Pedestrian flow" patented technology

The invention relates to the technical field of pedestrian environment perception, and discloses a pedestrian floor tile environment perception method based on multi-modal fusion. The method comprises the following steps: acquiring a multi-mode sensing data sequence of pedestrian floor tiles in a preset monitoring area, wherein the multi-mode sensing data sequence comprises pressure distribution, a surface texture image and an environment temperature and humidity data sequence; then, combining a preset environmental parameter dynamic threshold value and target sensing area spatial characteristics, and screening a dynamic sensing target area through positive equilibrium relation matching, the former being pre-configured based on historical sensing data statistical distribution and a preset environmental anomaly judgment rule; the latter is calculated based on floor tile laying density, a pedestrian flow density peak value and an abnormal region thermodynamic diagram distribution range; dividing a plurality of continuous sensing time windows according to the boundary position of the target area and the multi-modal sensing node distribution topology; and finally, according to a window sequence, window sensing operation is completed in a gradual multi-source data fusion mode, and comprehensive sensing of the environment state of the pedestrian floor tiles is realized.

The invention discloses an urban comprehensive park space-time network construction method and system based on crowd trajectory data. The method comprises the following steps: firstly, collecting, cleaning and dividing crowd trajectory data in a comprehensive park range; secondly, scenic spots in the comprehensive park are clustered, the number of optimal clusters is determined through clustering analysis, and all the clusters serve as all functional activity districts; then building a trajectory model through space projection and a shortest path algorithm, recovering a user moving trajectory path according to the crowd trajectory data, generating path node sequence data according to the timestamp of each trajectory point, and finally, taking the centroid of each functional activity area as each node of the space-time network, and combining each time period to obtain the user moving trajectory path. And constructing an undirected space-time network and a directed transfer network. The method has the advantages of efficient data processing, high modeling precision and perfect privacy protection, dynamic monitoring and space optimization analysis of the park people flow can be realized, and reliable data support and decision basis are provided for urban comprehensive park planning management.

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.

The invention discloses a self-adaptive control method and platform for an intelligent traffic signal lamp, and relates to the technical field of intelligent control, and the method comprises the steps: collecting traffic flow data in real time through a multi-source sensing module, including the number of vehicles, the vehicle speed, the vehicle type and the pedestrian flow; according to the data, traffic condition prediction is carried out by using a traffic flow model, and traffic pressure values of roads in all directions are calculated and generated; and based on the traffic pressure value, determining the phase duration of the signal lamp in each direction, performing signal lamp control analysis, generating a corresponding signal control instruction, and executing adaptive control of the traffic signal lamp. The technical problems of low traffic efficiency and serious traffic jam caused by the fact that the existing traffic signal lamp control method cannot dynamically adjust the time length of the signal lamp according to the real-time traffic condition are solved, and the purposes of dynamically optimizing the phase time length of the signal lamp and giving consideration to the requirements of pedestrians are achieved. The traffic efficiency is improved; and the congestion is relieved.

The invention relates to a thermal exposure risk calculation method based on urban trip people flow and built environment dynamics, and the method comprises the steps: obtaining the average radiation temperature calculation input data of an urban environment, and calculating the average radiation temperature of the urban environment according to the average radiation temperature calculation input data; calculating general thermal climate index distribution of the urban environment based on the average radiation temperature, and determining a thermal exposure time period based on the general thermal climate index distribution so as to obtain thermal exposure duration according to the thermal exposure time period; and acquiring the hourly travel pedestrian flow of the urban environment, counting the accumulated travel pedestrian flow in the thermal exposure time period based on the hourly travel pedestrian flow and the thermal exposure time period, and calculating the thermal exposure risk according to the accumulated travel pedestrian flow. Therefore, the problems that in the related technology, due to dependence on static population data, the people flow dynamic state of urban day and night travel with high temporal-spatial resolution is difficult to reflect, and a thermal risk calculation result based on the static population data cannot meet the requirements of urban space environment exposure refined analysis and early warning are solved.

The invention provides a prediction model training method, a pedestrian flow prediction method and device, equipment, a medium and a program product, and relates to the technical field of big data, and the method comprises the steps: obtaining sample road network information and sample pedestrian flow information in a sample region; wherein the sample road network information comprises the adjacency relation of sample base stations in the sample area; the sample visitor flow information is used for representing the visitor flow in a sample base station range in a historical time period; inputting the sample road network information and the sample visitor flow rate information into an initial prediction model, and determining a first dependency feature of the visitor flow rates of sample base stations with different distances in pairs under the influence of public opinion types and a second dependency feature of the visitor flow rates of the sample base stations in different time periods under the influence of public opinion life cycles; and iteratively training the initial prediction model based on the first dependency feature and the second dependency feature, and stopping training until a preset training condition is met to obtain a preset prediction model.

The application discloses a kind of crowd flow prediction method, device, electronic equipment and nonvolatile storage medium.Therein, the method includes: determining the grid area corresponding to target scenic spot, wherein the grid area includes grid unit, each grid unit corresponds a scenic spot in target scenic spot;According to the video image corresponding to grid unit, determine the crowd space-time parameter of target unit in grid unit in first time period;Using target model, according to crowd space-time parameter, obtain the crowd flow of target unit in second time period, wherein the second time period is the next time period of first time period.This application solves the technical problem that the related art can not specifically predict the crowd flow of each scenic spot in the scenic area when counting the crowd flow of tourists in the scenic area, only based on the data of the entrance guard of the scenic area, resulting in low crowd flow prediction accuracy and poor tourist experience.

The application discloses a traffic light control method and system, the traffic light control method comprises the following steps: determining a control mode, a pedestrian flow factor and a vehicle flow factor; determining a state parameter according to the control mode; determining control data according to the state parameter, the pedestrian flow factor and the vehicle flow factor; and controlling the traffic light according to the control data. Compared with the prior art, the application has the following beneficial effects: by determining the pedestrian flow factor and the vehicle flow factor, the control data of the traffic light can be dynamically adjusted according to real-time traffic conditions, the waiting time of vehicles and pedestrians can be reduced, the operation efficiency of the overall traffic system can be improved, traffic flow can be more effectively managed, and congestion can be reduced; by combining the control mode and the state parameter, the accuracy of determining the control data can be improved, the control of the traffic light is more refined, and the needs of different traffic scenes can be met.

The invention relates to the technical field of traffic regulation and control, and discloses an AI-based global traffic adaptive regulation and control method and system, and the method comprises the steps: determining the type of information needing to be collected for a target intersection based on a current date and a current time period, and collecting the multi-dimensional information of the target intersection based on the information type; and according to the multi-dimensional information of the target intersection and a traffic control AI model which is trained to converge in advance, generating a target traffic light control parameter for the target intersection, and executing a corresponding traffic light control operation based on the target traffic light control parameter corresponding to the target intersection. And the traffic flow congestion condition and the pedestrian flow congestion condition of the target intersection are slowed down through the adjusted traffic light. Therefore, the accuracy and the reliability of the traffic light control parameters can be improved, the traffic regulation and control accuracy, the reliability, the efficiency and the convenience of the intersection are further improved, and the vehicle driving smoothness and the road safety of the intersection and related roads are improved.

This invention relates to the field of traffic simulation and pedestrian flow modeling technology, and particularly to a method and system for crowd movement modeling based on a large language model. The method includes: constructing a multi-dimensional interactive feature system of pedestrians, small groups, and the environment; extracting micro-behavioral features of small pedestrian groups through micro-unit segmentation and dynamic group partitioning methods; proposing a pedestrian movement decision-making framework based on a large language model and thought chain; designing a hybrid update decision-making strategy to balance high-level semantic decision-making and local obstacle avoidance; and training and testing pedestrian evacuation at traffic hubs. Instance verification of pedestrian small group movement decision-making at traffic hubs is also conducted. The proposed model is applied to hub scenarios and its empirical dataset for training and testing. Results show that it achieves better motion realism, traffic efficiency, and group structure stability than baseline models.

The invention provides a checkpoint people flow detection method and system, electronic equipment and a storage medium. The method comprises the following steps: identifying a person target in an image frame collected by a checkpoint monitoring camera through a YOLO target detection algorithm; predicting the position of the person target in the next frame through a Kalman filter with hidden time, and predicting the position of the person target in the next frame through a probability data association algorithm when it is detected that the current person target is shielded; updating a figure target motion track based on the predicted figure target position, and judging the direction of entering and exiting the checkpoint of the figure target according to the figure target motion track; and counting the flow of people entering and exiting the checkpoint at the same time according to the direction of the target people entering and exiting the checkpoint. According to the scheme, the accuracy and reliability of checkpoint people flow detection can be improved, and the efficiency and real-time performance of people flow detection are guaranteed.

This system provides comprehensive data-driven solutions to challenges in urban areas, such as frequent traffic congestion, excessive energy consumption, and a lack of efficient waste management. [Solution] A system comprising means for acquiring location information and search data from a location information service provider, means for acquiring payment data from an electronic payment service provider, means for integrating the acquired location information, search data, and payment data and performing data cleaning, means for applying a machine learning algorithm to predict pedestrian flow based on the integrated data, means for proposing optimization of transportation operations based on pedestrian flow predictions, means for performing demand forecasting in commercial facilities and adjusting energy-saving measures, means for collecting wide-area data using a high-altitude platform and evaluating disaster risk, and means for providing personalized action guidelines to users.

The application discloses a traffic intersection traffic light control method, including collecting real-time data, presetting pedestrian quantity range, presetting vehicle flow length range, calculating special vehicle intersection, special vehicle active regulation communication light, traffic accident dredging. The application obtains the latitude and longitude coordinate information of the special vehicle position and the latitude and longitude coordinate information of the intersection center position captured by the corresponding Beidou positioning equipment of the vehicle detector through the signal control machine, calculates the special vehicle driving path intersection, controls the traffic signal lamp of the special vehicle driving direction intersection to be green by the signal control machine, timely opens the green channel for the special vehicle, provides more efficient and safe driving route for the special vehicle, improves the emergency response speed and rescue efficiency; according to the vehicle flow and the pedestrian flow, the traffic intersection traffic light is regulated, the change of the traffic flow can be responded in real time, and the road traffic capacity and the traffic management level are improved.

The closestool self-cleaning system comprises a cleaning structure and a flow guide structure, the cleaning structure comprises a cleaning head and a cleaning pipeline which are arranged on a flushing rod, and the cleaning head rotates around a connecting pipe through recoil force brought by water flow sprayed out of a cleaning opening. The flow guide structure comprises a first inclined guide face arranged on the ceramic base body and used for installing a seat ring, a second inclined guide face arranged on the upper surface of the seat ring, and a flow guide cover arranged on the peripheral side of the interior of a cover body of the toilet seat cover. According to the scheme, after the intelligent closestool is used every time, automatic, comprehensive and rapid self-cleaning operation can be carried out, cleaning personnel do not need to participate, the intelligent closestool can be applied to public places with large pedestrian flow, the structure is reasonable and ingenious, the cost is low, the maintenance period is kept consistent with that of an original intelligent closestool, and the maintenance difficulty is not additionally increased.

The present invention discloses a deep neural network online integration method for real-time prediction of pedestrian flow. First, offline data is used to initialize a pedestrian flow prediction model based on a deep neural network. Then, the model is deployed online to predict pedestrian flow. At the same time, online data is collected to update the model, allowing the model to quickly adapt to complex scenarios that change in real time. The multi-resolution update strategy divides the deep neural network into multiple sub-modules, and uses historical data of different resolutions to train different sub-modules, so that the pedestrian flow prediction capabilities of the sub-modules are diverse; the online integration strategy dynamically selects and combines the sub-modules that are most adaptable to the current scenario according to changes in the distribution of real-time data to generate real-time prediction results. Compared with existing methods, the present invention significantly improves the accuracy and response speed of real-time pedestrian flow prediction, and is particularly suitable for scenarios that require real-time data processing, such as traffic monitoring and public safety management.

The application relates to the technical field of direct-current lighting, in particular to a lighting method based on a direct-current lighting system, which comprises the following steps: collecting lighting area images of each street lamp at each moment and environmental light intensity values at each moment in a rainy day; identifying umbrellas in the lighting area images to obtain each umbrella area in the lighting area images; extracting each key point of each umbrella area based on the shape features of the umbrellas; determining the detail richness and pattern contrast of each key point; constructing a feature descriptor of each key point to determine a pedestrian flow evaluation value of each street lamp at each moment; determining the light reflection intensity of each key point; dividing the lighting area images at each moment into image blocks to determine the possibility of rain filaments of each image block; screening feature image blocks in all image blocks at each moment; determining a rain intensity evaluation strength at each moment; obtaining a lighting surface brightness coefficient at each moment; and adjusting the brightness of the street lamp by using a PWM dimming technology. The application improves the flexibility of street lamp lighting brightness adjustment.

The invention discloses an intelligent command console adaptive adjustment system based on multi-source information fusion, which belongs to the technical field of rail transit dispatching command and comprises a rail transit data acquisition module, an external flow data acquisition module, a fuzzy association matching module and a large and small intersection adjustment control module. The rail transit data acquisition module is used for acquiring current rail transit subway data, including subway line station information, station travel interval, station driving time and large and small intersection station information, acquiring real-time subway pedestrian flow data and subway entering people number through a rail transit gate, and establishing a subway flow database; and the external flow acquisition module. According to the intelligent command console adaptive adjustment system based on multi-source information fusion, the configuration of large and small traffic vehicles is dynamically optimized by mining flow relevance data, and collaborative optimization of operation efficiency, service quality and cost control is realized.

The invention discloses a charging station-oriented intelligent drainage cabinet advertisement effect analysis method and system, and relates to the technical field of digital outdoor advertisement intelligent analysis, and the method comprises the steps: carrying out the subfield division of an advertisement people stream response field, calculating the space center and scale difference of a subfield, constructing an affine mapping matrix, and generating a standard response field through iterative optimization. Constructing a causal graph, calculating an average processing effect, generating a comprehensive response index, and setting an advertisement putting strategy; through fusion of normalized multi-modal data, the accuracy of advertisement crowd response analysis is improved, through Tucker decomposition and residual enhancement, stable extraction of spatio-temporal characteristics of an advertisement effect is realized, and in combination with causal graph construction and return on investment calculation, the decision-making precision of an advertisement putting strategy is improved.

The utility model provides an on-line monitoring device for air quality in public places, which belongs to the technical field of environment monitoring and comprises a bearing mechanism, a casing, an air inlet component arranged at the top of the casing and a display screen fixedly mounted on the outer side of the casing. The anti-toppling mechanism comprises a positioning ring sleeve fixedly arranged on the outer side of the machine shell in a sleeving mode, a rotating assembly arranged on the outer side of the positioning ring sleeve, a supporting rod rotationally installed on the outer side of the rotating assembly and a limiting groove channel formed in the outer side of the supporting rod, and the bearing mechanism further comprises a protection inner plate fixedly installed on the outer side of the machine shell. Through the cooperation of the bearing mechanism and the anti-toppling mechanism, the anti-collision capacity, stability and safety of the whole equipment are remarkably improved, the use requirements of public places with large pedestrian flow and complex environments can be effectively met, long-term reliable operation of the equipment is ensured, and meanwhile the safety of the surrounding environment and personnel is guaranteed.

The utility model belongs to the technical field of baffles, and particularly relates to a building construction detachable dust fall protection baffle which comprises a baffle body. A suction pipe and a suction head above the suction pipe are additionally arranged on one side of the baffle, a traditional water mist dust falling mode is replaced, and water mist cannot affect pedestrians outside the baffle. A filter screen is arranged in the suction head to filter dust, and a side box for storing and wetting dust is arranged on the side, close to the baffle, of the suction pipe. A traditional water mist dust falling mode is replaced, the situation that water mist affects pedestrians outside the fence is avoided, the stability of pedestrian traffic outside the fence is ensured, and the fence is suitable for being used in urban areas and other areas with the large pedestrian flow rate.

The invention provides refrigeration equipment, an energy-saving control method, computer equipment and a storage medium. The method comprises the following steps: presetting the business time in a cycle time; when it is determined that the refrigeration equipment is in the business time, the passenger flow volume of the refrigeration equipment is obtained; according to the passenger flow volume, at least one passenger flow threshold value and a comparison result of the passenger flow volume duration and preset time, the refrigeration equipment is controlled to be adjusted to a corresponding energy-saving mode; and dynamically controlling the refrigeration equipment to be adjusted to a corresponding set temperature according to the energy-saving mode. The peak power consumption can be reduced under the same pedestrian flow, the overall energy efficiency is optimized in the same business time, the system stability is improved, and the service life of equipment is prolonged.

This invention provides a dynamic public toilet inspection method, device, and equipment based on pedestrian flow and problem reporting. The method includes: acquiring pedestrian flow load data and a list of reported problems for public toilet locations within a target area; generating a dynamic trend of future maintenance status for each public toilet location based on the pedestrian flow load data, the reported problem list, and a historical trend database; determining the public toilet locations to be inspected and inspection tasks with time windows based on the future maintenance status dynamic trend; pre-bidding tasks based on the status information of each inspector; determining the target bid score for each inspector relative to the public toilet locations to be inspected; and determining the target inspector and target inspection plan for the tasks at the public toilet locations to be inspected based on the target bid score. This invention enables targeted, efficient, and low-labor-cost inspection of public toilet locations, helping to improve the effectiveness of public toilet inspections.

The invention provides a travel route recommendation method, a travel route recommendation device and electronic equipment, the method relates to the technical field of public transport travel route recommendation, the method comprises the following steps: obtaining candidate routes and travel time of a user, the candidate routes comprising a plurality of candidate routes obtained based on a starting position and a terminal position; on the basis of the travel time, in-vehicle pedestrian flows of the multiple candidate routes are predicted, and the in-vehicle pedestrian flows are used for representing the in-vehicle pedestrian flows of the public transport means in the multiple candidate routes in the travel time; and determining a recommended route in the candidate routes based on the in-vehicle visitor flows of the plurality of candidate routes. According to the method, the travel route with higher comfort can be recommended, and the user experience is improved.

This invention discloses an intelligent shading control method and system for building atriums based on multi-source data fusion and multi-objective optimization, relating to intelligent control of green buildings. The method includes the following steps: defining thermal control zones and shading zones; acquiring multi-source prediction data sequences within the prediction time domain; dynamically predicting the regional direct solar heat gain and regional spatial heat generation from people in each thermal control zone at a given time node based on the multi-source prediction data sequences; performing optimization to obtain the optimal decision variable matrix that minimizes the objective optimization function; and updating the target opening angle corresponding to the first time node in the optimal decision variable matrix to the shading adjustment angle for the next control cycle. This invention's method, combining the real-time mapping of the spatial location of the light spot heat zone with the pedestrian flow heat map, enables precise shading actions to target local hotspot areas with pedestrian activity, significantly reducing ineffective shading and wasted natural lighting caused by traditional large-area uniform actions such as full opening and closing.

This invention discloses a self-balancing group control system for elevator energy, relating to the field of intelligent elevator technology. It includes: a multi-agent scheduling layer, a multi-dimensional perception layer, a simplified energy storage buffer layer, a loss feedback layer, and elevators. The multi-dimensional perception layer is used to collect real-time data on pedestrian flow within the building, the operating status data of multiple elevators, and the energy storage status data of the energy storage device. The multi-agent scheduling layer is used to construct each elevator as an independent intelligent agent. The simplified energy storage buffer layer includes the energy storage device and is used to initiate charging and discharging for buffering. The loss feedback layer is used to monitor the loss data of the core components of each elevator in real-time and feed it back to the multi-agent scheduling layer. This invention achieves real-time data flow through a closed-loop architecture, forming a self-optimizing cycle of data, decision-making, execution, feedback, and iteration, which can solve the problem of limited overall efficiency caused by the independent operation of each link.

This invention relates to the field of image enhancement technology, specifically to a big data processing method for urban and rural planning, comprising: acquiring the degree of change of each pixel in each frame of a nighttime image, thereby obtaining contour points of possible moving objects in each frame of a nighttime image, and thus obtaining each contour of each frame of a nighttime image; acquiring the probability that each contour of each frame of a nighttime image is a pedestrian contour and the amount of movement of each pixel on each contour in each frame of a nighttime image, thereby obtaining the probability that each contour of each frame of a nighttime image is a shadow contour; acquiring each shadow contour in each frame of a nighttime image and the probability of each shadow contour in each frame of a nighttime image, thereby obtaining the correction probability that the contour closest to each shadow contour in each frame of a nighttime image is a pedestrian contour, and thus obtaining the correction enhancement scale of each contour point in each frame of a nighttime image; enhancing each frame of a nighttime image, and the present invention makes the pedestrian flow statistics based on the enhanced image more accurate.

The invention provides a population dynamic monitoring method and system based on a real-time public information platform. The method comprises the following steps: acquiring people flow sequence data of a preset area through a real-time public information platform, analyzing and processing the people flow sequence data in different time periods to obtain population scale data and population flow data of the preset area, and performing data correction and accuracy evaluation to obtain population flow data of the preset area; analyzing and processing the people flow sequence data, the population scale data and the population flow data through a preset population dynamic monitoring model to obtain a population change index, and comparing and evaluating a population dynamic monitoring state through a threshold value; according to the method, the human traffic sequence data, the population scale data and the population flow data of the preset region in different scenes and different time dimensions are obtained by relying on the real-time public information platform, and data optimization and accuracy verification are performed, so that comprehensive, accurate and multi-dimensional monitoring of regional population dynamics is realized.

This invention discloses a supermarket AI lighting dimming method and intelligent lighting system, device, and storage medium. Each light-emitting module performs a self-checking dimming step, which includes: controlling the light-emitting unit to emit light at its corresponding brightness setting value; acquiring and accumulating the number of people entering the detection area, calculating the occupancy rate of the area's population; determining whether the occupancy rate reaches the occupancy requirement threshold corresponding to the light-emitting unit; if the occupancy rate fails to reach the threshold, calculating the occupancy difference value based on the occupancy rate and the threshold; correcting the brightness setting value based on the occupancy difference value to increase the brightness setting value; and controlling the light-emitting unit to emit light at the corrected brightness setting value. In this design, each light-emitting module in the entire venue can automatically adjust the lighting brightness of different areas according to the pedestrian flow, rationally guiding pedestrian flow and improving the sales effect of goods.

Provide a system. 【Solution means】means for collecting pedestrian flow data, means for collecting pedestrian flow information, means for collecting visitor attribute information, means for collecting past sales performance, means for preprocessing the collected data, means for generating a prediction model using the preprocessed data, means for proposing an optimal store-opening area using the prediction model, means for visualizing the proposed store-opening area, means for feeding back actual sales information, means for converting feedback information into an information base, means for visually displaying the predicted sales on a map, A system including means for providing an intuitive user interface.

We provide the system. [Solution] A means for collecting local population data, traffic data, nearby facility data, and pedestrian flow data, Means for preprocessing the collected data, A means for training a generative AI model that generates optimal utilization ideas for sparsely populated buildings using preprocessed data, A means of receiving detailed information about sparsely populated buildings from users, A means of inputting received detailed information into a generating AI model to generate renovation ideas, A means for generating a completed design image using an image generation model based on the generated idea, A means of returning the generated renovation ideas and design images to the user, A system that includes this.