60 results about "Pedestrian flow" patented technology

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 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.

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.

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 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 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.

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.

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.

The application discloses a path selection method and device of an automatic driving vehicle and electronic equipment, and the method comprises the following steps: acquiring current positioning data of the automatic driving vehicle and corresponding path planning results, wherein the path planning results comprise a plurality of alternative lane-level paths; acquiring predicted positioning data of the automatic driving vehicle and obstacles based on the current positioning data of the automatic driving vehicle; determining driving costs of the alternative lane-level paths according to the predicted positioning data of the automatic driving vehicle and the obstacles, wherein the driving cost is used for representing congestion degree of the alternative lane-level path; and determining a target lane-level path according to the driving costs of the alternative lane-level paths. The application considers the influence of traffic flow and pedestrian flow conditions on the driving efficiency of the ego vehicle in a future period of time, evaluates the spatial congestion conditions of the alternative lane-level paths in the future period of time in combination with the predicted positioning data of the ego vehicle and the obstacles, provides a reference for the driving decision of the ego vehicle, and improves the driving efficiency.

The invention provides an adaptive model precision control method and system oriented to city-level multi-physics field simulation. The method comprises the following steps: aiming at urban simulation tasks such as a wind environment, a thermal environment, sunlight, a pedestrian flow, energy consumption and the like, reading regional models with different precision levels from an urban model library with multi-level detail levels as candidate models; based on the simulation target quantity corresponding to the simulation task, carrying out regional division on the city space, and calculating a regional sensitivity index according to the influence of the precision change of each regional model on the simulation target quantity; and determining a model precision grade adopted by each region according to a sensitivity priority principle by combining an error estimator introduced by model precision change and computing resource constraints. Through the above mode, on the premise of ensuring the reliability of a simulation result, the calculation scale of a low-sensitivity area is reduced, so that the overall simulation calculation amount and the calculation duration are reduced, and reasonable distribution of limited calculation power resources in urban simulation is realized.

The utility model discloses an unmanned supermarket human traffic monitoring device, which relates to the field of human traffic monitoring devices and comprises a bottom plate, a gantry frame is fixed at the top of the bottom plate, a camera is fixed on a cross beam of the gantry frame, a plurality of partition plates are arranged on the top surface of the bottom plate in a sliding manner, and the partition plates are arranged on the bottom plate. The partition plate slides on the top face of the bottom plate in the length direction of the bottom plate and is positioned on the bottom plate through a limiting assembly. The partition plates are connected with the bottom plate in a sliding mode through the sliding blocks, so that the partition plates can slide rapidly, all the partition plates can slide to the side edge of a channel conveniently when a disaster occurs, and an unobstructed channel is provided for emergency evacuation.

The application belongs to the technical field of intelligent traffic, and specifically discloses an intelligent traffic management and control method, system and program product, which extracts image ROI and detects moving targets through collecting monitoring image sequences of each traffic direction at an intersection, so as to determine the moving target information in the corresponding interval, then establishes the moving track of each moving target to calculate the congestion index of the corresponding traffic direction, and finally determines the green light passing time of each traffic direction according to the comprehensive congestion index of each traffic direction, so as to realize fine and dynamic adjustment of the signal light time of the traffic intersection. The application allocates the signal light time of the intersection based on the congestion index, can more accurately determine the congestion of each traffic direction at the traffic intersection, makes the signal light timing capable of responding to the change of the traffic demand of each direction in real time, significantly improves the overall passing efficiency of the intersection, and is highly adaptable, can comprehensively evaluate the congestion of the vehicle flow and the pedestrian flow, and is suitable for mixed traffic scenes.

The utility model provides a movable positive-pressure dust removal device for field installation of extra-high voltage GIS (gas insulated switchgear) power equipment, and belongs to the technical field of GIS installation. Comprising a dust-proof working chamber, a first secondary dust-proof pipeline channel, a second secondary dust-proof pipeline channel and a secondary dust-proof people flow channel, the first secondary dustproof pipeline channel and the second secondary dustproof pipeline channel are oppositely arranged on the two sides of the dustproof operation chamber, and each of the first secondary dustproof pipeline channel and the second secondary dustproof pipeline channel comprises a pipeline channel primary dustproof door and a pipeline channel secondary dustproof door which are oppositely arranged; the secondary dustproof pedestrian flow channel comprises a pedestrian flow channel primary dustproof door and a pedestrian flow channel secondary dustproof door which are oppositely arranged, the pedestrian flow channel secondary dustproof door is arranged on the side face of the first secondary dustproof pipeline channel, and the probability that the closed inner door and the closed outer door are opened at the same time can be greatly reduced by designing the secondary doors. And outdoor tiny dust particles are effectively prevented from entering the operation space along with people flow or material flow, so that the installation quality of the GIS equipment is effectively improved.

The system according to the embodiment aims to analyze data on traffic volume and pedestrian flow and optimize traffic light control. According to an embodiment, the system includes a data collection device, an analysis device, and a control device. The data collection device collects traffic volume or pedestrian flow data. The analysis device analyzes the data collected by the data collection device. The control device controls traffic lights based on the data analyzed by the analysis device.

This invention designs a system and method for tracking dense pedestrians in subway stations based on weak spatial cues. First, image frames are converted into a set of predicted detection boxes. Then, these boxes are binary-classified using preset high and low thresholds to obtain high-confidence and low-confidence detection boxes. Next, the tracking boxes in the previous frame's trajectory set are predicted using Kalman filtering to obtain the tracking boxes for the current frame. The high-confidence detection boxes are then matched with the current frame's tracking boxes for the first time, and the association cost is calculated to obtain the first set of successfully matched trajectories. Detection boxes that do not match a trajectory are merged into the low-confidence detection boxes. Then, the low-confidence association module performs the same matching process on the remaining trajectory sets to obtain the second set of successfully matched trajectories, which is then merged into the first set of successfully matched trajectories. Finally, the target trajectories are created, deleted, and updated to obtain the final output trajectory, completing the tracking of dense pedestrians in subway stations. This system can detect and analyze the dense pedestrian flow in subway stations in real time.

This invention relates to the field of pedestrian flow prediction technology and discloses a method for predicting urban pedestrian flow based on a spatiotemporal dataset of urban points of interest (POIs). The method includes: acquiring the spatiotemporal dataset of urban POIs; dynamically fusing multimodal features using a hierarchical perceptual attention fusion mechanism to obtain POI feature vectors; performing spherical spatial dependency modeling using a region-adaptive spherical convolutional coding method to obtain spatial coding vectors; performing business hour constraint coding using a periodic mask generator to obtain temporal feature vectors; extracting spatiotemporal coupling features based on the POI feature vectors, spatial coding vectors, and temporal feature vectors; performing region-aware temporal series modeling on the spatiotemporal coupling features; and generating predicted pedestrian flow values ​​and congestion level probability distributions through multi-task shared prediction. This invention improves the performance of urban pedestrian flow prediction by employing a method based on a spatiotemporal dataset of urban POIs.

The utility model belongs to the technical field of rail transit, and particularly relates to an environment zoning intelligent control system in a subway station, which comprises a pedestrian flow data acquisition module, an environment sensing module, terminal equipment, a prediction-control integrated module and an energy supply module, and the energy supply module is electrically connected with the people flow data acquisition module, the environment sensing module, the prediction-control integrated module and the terminal equipment, and is used for supplying power to the whole system. A time sequence prediction unit in the prediction-control integrated module generates an environment prediction value according to detection data of the human traffic data acquisition module and the environment perception module, and a mixed integer nonlinear programming controller in the prediction-control integrated module generates overall parameters of the terminal equipment according to the environment prediction value. And the execution parameters of the terminal equipment in each region are configured according to the actual detection data of the environment sensing module, so that the environment in the subway station is controlled by regions, and the energy-saving effect of the system is greatly improved.

This invention relates to the field of microgrid operation anomaly monitoring technology, and in particular to a method, device, equipment, and computer storage medium for monitoring microgrid operation anomalies in industrial parks. The method for monitoring microgrid operation anomalies in industrial parks proposed by this invention includes: firstly, constructing a spatiotemporal coupling matrix to achieve collaborative analysis, accurately characterizing the dynamic coupling relationship between power load and pedestrian flow distribution in the park; secondly, designing an anomaly detection model based on bidirectional LSTM to reduce false alarms and missed alarms caused by noise sensitivity in complex spatiotemporal coupled data; and finally, proposing a dual-modal training and dynamic threshold generation scheme to solve the problem that fixed threshold mechanisms cannot be adjusted according to changes in park activity scenarios, effectively improving the accuracy of the algorithm.

The invention relates to the technical field of elevator dispatching optimization, in particular to an elevator group control energy-saving dispatching method and system based on load prediction.The method comprises the steps that the actual passenger flow with the same time property as the current moment in elevator historical operation data is analyzed, and a first predictive factor is constructed; the method comprises the following steps: acquiring a pedestrian flow load, taking the pedestrian flow load as a reference prediction value, analyzing the similarity between the reference prediction value and all historical operation data, distributing contribution degree weight to the historical operation data of each day, constructing a second prediction factor, obtaining a pedestrian flow prediction value, and finally correcting the pedestrian flow prediction value in real time according to the difference between the pedestrian flow prediction value and the actual pedestrian flow load of the current day; and constructing an adaptive inertia weight of a particle swarm algorithm based on the human traffic prediction correction value, and searching an optimal solution to perform response scheduling. The invention aims to improve the dispatching efficiency of the whole elevator group.

This invention relates to the field of energy control technology, and particularly to an energy control system, method, device, and medium. The invention obtains the energy storage capacity of the dual-circuit power supply module (130) and the ambient illuminance and pedestrian flow of the advertising screen display module (140) at the current moment through a sensing module (110), and sends this information to a processor (120). The processor (120) determines the predicted value of advertising effectiveness for future moments based on the ambient illuminance and pedestrian flow. When the predicted value of advertising effectiveness is greater than or equal to a preset advertising effectiveness threshold, the processor (120) controls the placement of the first type of advertising, using a first power supply mode; conversely, it places the second type of advertising, using a second power supply mode. By introducing the predicted value of advertising effectiveness, the invention dynamically determines the advertising display type and power supply mode, adopting a switchable power supply mode, effectively improving energy utilization efficiency and advertising effectiveness, and enhancing the energy management capability of the energy control system.

This utility model provides a luminous ceremonial pole, including a pole, a luminous component, a ball joint assembly, and a base. The ball joint assembly is detachably connected to the upper end of the pole, and the base is detachably connected to the lower end of the pole via a locking assembly. The pole has an internal cavity, and the luminous component is disposed within the cavity. The ball joint assembly and the locking assembly pass through the upper and lower ends of the pole, respectively, into the cavity and abut against the two ends of the luminous component. The luminous component is electrically connected to an external power source through a channel on the base. This utility model can illuminate at night, effectively guiding pedestrians and ensuring orderly pedestrian flow.

The invention relates to a people flow detection method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: making a mobile robot move according to a patrol path, and enabling the patrol path to comprise at least one monitoring point; acquiring relative position information of the monitoring point and the mobile robot, and judging whether the mobile robot is within the detection range of the monitoring point according to the relative position information; if the mobile robot is within the detection range, acquiring an image shot by the mobile robot, and determining the current pedestrian volume according to the image; and comparing the current human traffic with a preset human traffic threshold, and if the current human traffic is greater than or equal to the preset human traffic threshold, sending a human traffic congestion early warning to the target device. According to the invention, the method achieves the high-efficiency detection of the pedestrian flow.