210 results about "Urban area" patented technology

The invention provides an urban area-oriented multi-source remote sensing data joint positioning method and system, and the method comprises the steps: obtaining a plurality of optical stereoscopic images and corresponding connection point data, constructing an optical stereoscopic block, and extracting laser elevation control point data and digital surface model data in the range of the optical stereoscopic block; calculating a ground coverage range of a plurality of optical stereoscopic images, mapping the ground coverage range to a grid unit by adopting a grid lookup table, obtaining a laser point accurate image space coordinate by combining the screened laser elevation control point data, and outputting a laser elevation control point set; calculating a laser elevation control point set based on a rational function model and affine transformation, and constructing a multi-source remote sensing data joint adjustment function model; and resolving the multi-source remote sensing data joint adjustment function model to form an observation error equation, performing heuristic search solution on the observation error equation, and outputting an adjustment model parameter result and a final connection point ground coordinate.

The present invention relates to equipment that can realistically reproduce various types of airflow occurring in environments such as an urban area with tall buildings or regions with mountains and valleys, thereby enabling verification of the flight safety of a multicopter-type drone. The present invention comprises: a housing that provides a tunnel-shaped test space in which a plurality of blowers, together with controllers, are installed along the longitudinal direction of both sidewalls of the interior, the ceiling, and the floor, to generate airflows such as crosswinds, updrafts, downdrafts, and vortices; and an integrated control unit that selectively or simultaneously controls some or all of the plurality of controllers installed in the housing so as to form airflows in pattern corresponding to user input or settings.

The invention provides a remote sensing building group depth detection and change intelligent evaluation method for urban planning, and the method comprises the steps: carrying out the multi-modal data collection of a target urban region, and carrying out the standardization processing, abnormal value elimination, multi-modal alignment and interference suppression processing, and obtaining a multi-modal data set; constructing a multi-branch hybrid network, and performing triplet feature extraction on the multi-modal data set through the multi-branch hybrid network to obtain a building group fusion feature map; performing change area detection and change type classification on the two building group fusion feature maps with different time phases to obtain building group change information; and constructing a dynamic evaluation index based on the urban planning core demand, and performing building group change evaluation in combination with the building group change information. According to the method, through multi-source and multi-modal data acquisition and processing, multi-branch hybrid network triplet feature extraction and change detection and dynamic evaluation index application, urban planning core requirements are adapted, and building group detection precision and change evaluation effectiveness are improved.

The invention discloses a geological disaster risk evaluation method and system based on big data, and the method comprises the following steps: S1, obtaining multi-source geological disaster data, including geological structure data, landform data, meteorological and hydrological data, human activity data and historical disaster data; s2, performing space-time alignment and standardization processing on the multi-source geological disaster data, and constructing a geological disaster space-time data set; s3, constructing a geological disaster risk evaluation model based on the deep learning network, wherein the geological disaster risk evaluation model comprises a feature extraction module, a space-time correlation module and a risk prediction module; s4, calculating a weight coefficient of each evaluation index by adopting a dynamic weight distribution method; s5, calculating a geological disaster risk index through the geological disaster risk evaluation model, and generating a risk grade zoning map; according to the invention, more intelligent geological disaster risk evaluation of the urban area is realized.

The embodiment of the invention discloses an underground pipeline simulation operation method and device based on spatial distribution. A specific embodiment of the method comprises the steps of collecting a multi-source underground pipeline data set in a target city area; performing data standardization on each piece of multi-source underground pipeline data in the multi-source underground pipeline data set to generate a standardized multi-source underground pipeline data set; establishing an initial underground pipeline three-dimensional structure model; performing pipeline space alignment on the initial underground pipeline three-dimensional structure model to generate a target pipeline three-dimensional structure model; and adding the target pipeline three-dimensional structure model to a three-dimensional pipe network visual distribution diagram layer in a preset target urban area underground distribution network global twin space, and performing underground pipeline simulation operation on the three-dimensional pipe network visual distribution diagram layer according to preset pipeline operation parameters. According to the embodiment, the accuracy of the generated target pipeline three-dimensional structure model can be improved.

The invention discloses a fire-fighting spatial-temporal trajectory data processing and off-line data warehouse construction method based on a stream batch fusion architecture, and relates to the field of digital fire fighting, and the core steps of the method are as follows: after multi-source data are collected by an edge gateway, high throughput distribution and storage are realized by Kafka; real-time optimization such as track cross repair and offset correction is completed through Flink streaming calculation; performing offline batch processing on the historical data by the Spark to generate an analysis result; generating an optimal rescue path through a distributed Dijkstra algorithm in combination with road topology, real-time traffic and fire fighting truck parameters; the method comprises the following steps: realizing mixed storage by adopting ElasticSearch secondary index and HBase total storage; based on hot and cold data hierarchical management, intelligent applications such as fire-fighting commanding and dispatching, battle comment and review and the like are supported. Practice verifies that the method can shorten the fire control time of the main urban area by 60%, significantly improves the fire emergency response capability, and is suitable for large-scale fire track data scenes.

The invention discloses a low-orbit satellite communication terminal power consumption optimization method, and relates to the technical field of satellite mobile communication and wireless communication terminal power consumption management. A candidate set is generated based on satellite ephemeris and shielding information, so that a terminal only scans a limited frequency band, and energy waste caused by full-frequency-band blind scanning is fundamentally avoided; in a dense urban scene, signal interruption is caused by high-rise buildings, and a traditional terminal needs to repeatedly scan to maintain connection, however, a predictive scanning mechanism of the method can activate scanning in advance before signal attenuation and reduce response delay, so that a power consumption curve is smoothed, and a power consumption peak value caused by sudden switching is avoided; secondly, the energy consumption perceptual sorting mechanism dynamically evaluates the power consumption performance of the candidate satellites through historical data and context features, and preferentially selects low-energy-consumption options, so that the scanning process is more targeted.

The invention discloses an urban logistics unmanned aerial vehicle take-off and landing point layout optimization method and system, and belongs to the technical field of path planning, and the method comprises the steps: taking all existing express cabinets in an urban region as a candidate take-off and landing point set, and obtaining the express cabinet transformation cost of each candidate take-off and landing point; obtaining the distribution cost from each candidate take-off and landing point to the demand point; determining customer coverage of all existing express cabinets in the urban area; obtaining all paths from each candidate take-off and landing point to the demand point without passing through the no-fly zone, and determining a plurality of take-off and landing point layout schemes corresponding to the selected take-off and landing points and the delivery paths based on all the paths as to-be-optimized individuals; a multi-objective optimization model is constructed by taking minimization of the sum of the transformation cost and the distribution cost of the express cabinet and maximization of the customer coverage degree as objectives, optimization is carried out on individuals to be optimized, and the optimal take-off and landing point layout and the planning result of the demand point range of the service of the take-off and landing point layout are determined. According to the method, reasonable and efficient operation of urban unmanned aerial vehicle logistics can be realized.

The invention discloses an unmanned aerial vehicle image intelligent perception plotting method and system based on view GIS fusion. The method comprises the steps that a sequence image of a target area is collected through an unmanned aerial vehicle platform; target detection, classification and tracking are carried out based on deep learning, and target pixel coordinates are identified; constructing an intelligent mapping model from a pixel coordinate system to a geographic coordinate system to realize geographic positioning of a target; precise space calibration is carried out on the illegal target; and in combination with space calibration, interactive plotting and visualization of target illegal behaviors are realized at a WebGIS end, and a structured law enforcement evidence packet is formed. According to the method, the POS data and the visual information are deeply fused, the dynamic projection plane estimation technology is adopted, the geographic positioning precision better than that of a traditional method is achieved, the method has obvious advantages especially in complex environments such as urban areas, and high positioning precision can be achieved.

The invention discloses a tunnel-pile interaction experiment method and device based on a 3D printing technology, and belongs to the technical field of civil engineering underground structure tests. The method comprises the steps that the geometric and mechanical similarity ratio is determined according to an engineering prototype, a tunnel lining model and a pile group model are prepared through the 3D printing technology, and controllable adjustment of the rigidity of the tunnel model is achieved by adjusting the type, the filling rate and the internal structure of a printing material; controllable adjustment of the rigidity of the pile foundation model is realized by adjusting the size of the magnetic field; the model is placed in a soil body groove, the shield tunnel excavation process is simulated, and deformation data of a tunnel and a pile foundation are collected through a PIV technology and a sensor. Accurate control over the rigidity of the tunnel and pile foundation model is achieved through 3D printing, the influence of shield tunnel construction on the pile group foundation can be simulated under the condition that the similarity criterion is met, and the device has the advantages of being adjustable in structure, high in experiment efficiency and the like and can be used for researching a dense urban area tunnel-pile deformation coupling mechanism and optimizing related engineering parameters.

The invention relates to the technical field of urban planning and spatial information, in particular to an urban landscape style assessment method and system based on three-dimensional reconstruction, and the method comprises the following steps: S1, generating a live-action three-dimensional model of a target urban area; s2, dividing the target urban area into a plurality of space grid units on a horizontal plane; s3, extracting three-dimensional visual feature parameters in each vision field range; s4, calculating a visual space oppression index according to the geometrical relationship of the buildings in the visual field range; s5, calculating a landscape style and feature comprehensive evaluation value of the space grid unit; and S6, mapping the comprehensive evaluation value of the landscape style to the geographic position of the landscape style, and generating an urban landscape style evaluation thermodynamic diagram. According to the method, through three-dimensional modeling, visual feature extraction and comprehensive quantitative evaluation, three-dimensional, standardized and visual evaluation of urban landscape styles and features is realized, and scientific support is provided for urban planning and styles and features management.

The invention relates to the technical field of three-dimensional modeling and geographic information processing, and discloses a three-dimensional city model generation optimization method and system, and the method comprises the steps: obtaining a central city area three-dimensional data set of a target city; generating a second fusion data set of unified three-dimensional point cloud representation; based on the key feature point set, a random consistency verification mechanism is adopted to execute preliminary registration operation; and generating a high-precision three-dimensional city model. In the prior art, in a multi-source three-dimensional data fusion process, coordinate system offset and scale difference exist among an oblique photography image, LiDAR point cloud, BIM data and a topographic map, and especially under a large-scale central urban area modeling condition, high-precision and automatic unified alignment is difficult to realize. And dislocation of building boundaries or fracture of terrain curved surfaces are caused. Due to the fact that depth feature extraction and cross-source feature alignment are combined with random consistency verification, the space consistency and modeling reliability of the three-dimensional city model are improved.

The invention relates to a city domain vehicle envelope line generation method and device, computer equipment and a storage medium, and the method comprises the steps that vehicle body data submitted by a first user, bogie data submitted by a second user and track data submitted by a third user are acquired, and the vehicle body data comprise allowable tolerances of vehicle parts in the manufacturing and mounting process; according to the vehicle body data, the bogie data and the track data, constructing a vehicle-track dynamics model; a dynamic load is loaded in the vehicle-track dynamics model to simulate vehicle operation, a corresponding displacement set of the vehicle at each moment is obtained, and the displacement set comprises the displacement corresponding to each observation point; and according to the displacement set corresponding to each moment and the tolerance, determining a dynamic envelope line changing along with time.

Embodiments of the application disclose a kind of urban area integrated energy system multi-agent collaborative optimization scheduling method, device and computer storage medium, wherein the method comprises: determining the time-varying failure probability of each line under typical scenario;Typical scenario set is generated by combining the time-varying failure probability of each line under typical scenario, wherein the typical scenario set is used to represent disaster uncertainty;At least one layer decoupling multi-agent collaborative architecture is determined;Two-stage optimization scheduling model is constructed by combining the typical scenario set and the decoupling multi-agent collaborative architecture, wherein the two-stage optimization scheduling model combines early warning and disaster-time regulation, and takes the comprehensive goal of resilience (minimizing load loss), low carbon and multi-energy complementary benefit;The two-stage optimization scheduling model is solved, and according to the solution result, the multi-agent collaborative optimization scheduling is carried out.This application can significantly reduce the system load loss, reduce carbon emissions and improve the multi-energy complementary benefit under extreme weather, and realizes the high resilience operation of urban area integrated energy system.

The invention provides a method and system for evaluating the integrated photovoltaic potential of buildings in a high-density urban area, and the method comprises the steps: obtaining the color point cloud data of a city through the photographing and surveying of an unmanned plane, introducing the physical priori knowledge through algorithm design, and assisting a neural network in extracting a feature vector for representing the characteristics of a building group from the data; comprising the steps of point cloud sampling, normal estimation, window-wall ratio estimation and geographic orientation angle calculation, so that the model can learn implicit relation between the urban form and a photovoltaic potential prediction result; aiming at a scene of comprehensively realizing photovoltaic integration popularization of medium and large-scale buildings, the power generation efficiency of building facades and photovoltaic modules mounted at different positions of windows and walls is considered, feature vectors are input into a regression prediction framework formed by a one-dimensional point cloud neural network, evaluation errors are reduced, systematic deviation of resolution is avoided, and the evaluation accuracy is improved. Data acquisition and prediction are facilitated, and the function of predicting the maximum photovoltaic power generation potential after the building is comprehensively paved with the BIPV is realized.

The application provides a method for determining inflow hydrograph of urban stormwater inlet, which is in line with actual urban runoff conditions and can effectively reduce the error of calculation results. The urban area is divided into multiple sub-regions according to the road network, and the net rainfall is discharged from the stormwater inlet, and the single stormwater inlet in the sub-region is calculated respectively; the urban surface runoff is calculated by using the comprehensive runoff coefficient method, and the runoff coefficient not greater than 1 is used to represent the runoff after the rainfall is intercepted and lost on the ground; for the rainfall in the small urban area, the ground water flow is in the form of slope flow and shallow concentrated flow; the catchment time is the sum of the two, the slope flow with a flow line not greater than 90m is calculated by using the Manning dynamics method to calculate the surface runoff flow time; after the slope flow stops flowing for 90m, the shallow concentrated flow with a water depth greater than 3cm appears at this time, and the stormwater inlet design flow inflow calculation formula is: Q = F * (P - S) / (T + 90) wherein Q is the stormwater inlet inflow, L / min; F is the average catchment area controlled by each stormwater inlet, m 2 .

The invention relates to an intersection group collaborative optimization method and device in a man-machine mixed driving scene, and a storage medium. The method comprises the following steps: dividing a to-be-optimized urban area into a plurality of traffic zones; predicting the ownership of automatic driving vehicles and human driving vehicles in the traffic zone according to the vehicle type purchase intention data and a pre-constructed multiple linear regression model; according to a binomial Logit model, calculating a human driving travel ratio and an automatic driving travel ratio of the traffic zone, according to the travel ratio and the inventory, calculating the travel occurrence amount of human driving vehicles and automatic driving vehicles of the traffic zone, and obtaining a preset attraction amount of the traffic zone; calculating traffic demands of human-driven vehicles and automatic-driven vehicles between the starting point and the ending point of the traffic zone according to the travel occurrence amount and the attraction amount; constructing a flow distribution model according to the road network of the traffic zone; and solving the intersection group collaborative optimization model according to the flow distribution model to obtain a final signal optimization scheme.

The application provides a kind of urban ecological restoration priority order identification method, device and electronic equipment, the method comprises: obtaining the spatial distribution data of multiple ecosystem service indicators in different years in target urban area and carrying out standardization processing;According to the spatial distribution data of multiple ecosystem service indicators in different years after standardization processing, determine the ecosystem service cluster value ESB of each pixel corresponding to the preset grid scale in different years in target urban area;According to the ESB of each pixel in different years and impervious surface index value ISA, determine the ecological restoration target year period;For any target pixel, according to its ISA change rate in the ecological restoration target year period, and the ESB change rate of its neighborhood pixel in the ecological restoration target year period, determine its ecological restoration priority order. Prior area of urban ecological restoration area can be divided, improve the efficiency and economy of urban area ecological restoration.

We provide the system. [Solution] Collect fish finder data, By integrating past weather conditions, seasons, and fishing records, and analyzing them with artificial intelligence, A means for notifying an information processing device of information indicating the location of the fishing grounds in coordinates, A means to function as a platform for information recipients to act efficiently, with the aim of managing urban resources. Based on the analyzed data, this information will be provided to fishermen as a means to optimize resource utilization within urban areas. A system that includes this.

The system according to this embodiment aims to detect abnormal situations and human behavior in real time during urban area monitoring and to respond quickly. [Solution] The system according to the embodiment comprises a monitoring unit, a transmitting unit, and a control unit. The monitoring unit is equipped with an AI camera and sensors for monitoring urban areas. The transmitting unit transmits abnormal situations and human behavior detected by the monitoring unit to a management center in real time. The control unit controls IoT devices and robots based on the information transmitted by the transmitting unit.

The invention discloses an intelligent ecological environment monitoring system and method, and relates to the technical field of urban ecological environment monitoring, and the system comprises an air quality monitoring subsystem which is used for laying a plurality of air quality monitoring nodes in an urban region, and collecting air pollution parameters of corresponding positions; the pollution analysis module is used for carrying out frequency clustering, pollution intensity statistics and change rate evaluation on the historical pollution data collected by the air quality monitoring nodes to obtain the characteristics of frequency, intensity and volatility of pollution, and carrying out weighted fusion on the three characteristics after normalization processing so as to obtain a pollution sensitivity factor; and the monitoring node adjusting module is used for dynamically calculating an optimal density layout strategy of the air quality monitoring nodes in the urban area. According to the method, the monitoring density distribution of different regions of a city is dynamically adjusted by constructing pollution sensitivity factors, introducing a region weighting mechanism and combining the number limitation of air quality monitoring nodes.

The invention relates to the technical field of road reconstruction, in particular to an emergency evacuation simulation diagnosis driven road widening optimization method and system and a storage medium. According to the method, the moving speed of an individual on each road in the emergency evacuation process of the intensive urban area is simulated in a simulation environment, a congested road section is identified based on the moving simulation speed, then a broadening scheme is made for the congested road section, the road width is updated based on the broadening scheme, the evacuation performance corresponding to the broadening scheme is simulated, and the evacuation efficiency of the road is improved. And the construction cost generated by the broadening scheme is counted, and finally the broadening scheme is optimized based on the evacuation performance and the construction cost. According to the invention, the congested road section is positioned based on the mobile simulation speed, and the congested road section represents the congested road section in the real emergency evacuation process, so that a broadening scheme can be formulated for the congested road section which may actually occur, and the broadened road can meet the road conditions required by emergency evacuation.

Provided is a multi-feature visual positioning method, comprising: receiving a raw photo taken by a user and photographing parameters associated therewith and a positioning request, wherein the photographing parameters comprise a preliminary position of a user photographing device and attitude data; determining a plurality of candidate poses within a certain range with the preliminary position as the center; generating an image for each candidate pose according to the attitude data using a BIM model; calculating the similarity of the generated image of each candidate pose and the raw photo; and determining the position in the candidate pose where the image with the maximum similarity is located as the user position. The method improves the visual positioning accuracy in urban areas, including outdoors and indoors, without increasing hardware devices.

1. The name of the design product: the search for housing part of the house source graphical user interface of the electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the local part of the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: used as a house source search graphical user interface as a whole, and the search for housing part is used to search for house sources and display maps and house source related information. The user inputs the housing search information in the search box of design 1-design 4 front view, and the map and list below display the corresponding house source search results and related information according to the search information, such as displaying the search location, nearby communities and the corresponding number of house sources in the map. The user inputs the housing search information in the search box of design 5 front view, and the map and list below display the corresponding house source search results and related information according to the search information, such as displaying the search route and the corresponding number of house sources in the map. The housing search information input by the user in the search box can be a specific location, house source characteristics (such as business district, urban area, price), subway, etc. 7. The present design is a partial design, wherein the blue coated part is not claimed, and the map content displayed in design 1 to design 5 views does not belong to the claimed picture.

The invention is in the field of an integrated energy buffer system for urban storage, such as in a building, in particular in a parking lot thereof, for mitigating electrical grid con- gestion of transport of electrical power in particular in urban areas, and for balancing demand and supply of electrical energy.

1. Name of the product in this design: Graphical User Interface for Regional Business Information System of Electronic Device. 2. Purpose of this design: To display a graphical user interface. 3. The key design features of this product are its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: Used for business information interaction and display in urban areas. 6. Description of the changing states of the graphical user interface: The interface in the "Main View" is the initial interface; when the user clicks the "Click to Query" icon at the bottom of the "Main View", the interface changes to "Figure 1"; when the user clicks the "Project Under Construction" icon on the right side of "Figure 1", the interface changes to "Figure 2".

This invention discloses a vehicle with a leak-free docking mechanism for the rear panel, comprising grooves on both sides of the rear end of the vehicle's cargo compartment, each groove containing a lower locking groove and a positioning pin hole; a rear panel with rollers mounted on its left, right, upper, and lower sides, the rollers being rotatably mounted within the grooves; a set of limiting pins for engaging with the positioning pin holes and a locking actuator for driving the limiting pins at the lower part of the rear panel; and a guide bracket including a sliding plate bracket and small rollers rotatably mounted on both sides of the sliding plate bracket. This invention effectively solves the problem of excessive docking space occupation by using a sliding rear panel design instead of a traditional flipping structure. It allows the vehicle to operate close to the target object, achieving "close-range docking" in narrow urban streets. Actual measurements show a 70% reduction in docking distance and a 25% increase in operational efficiency, significantly improving the adaptability of sanitation operations in high-density urban areas and meeting the minimum operating space requirements of urban roads.

We provide the system. [Solution] An online platform for matching businesses in rural areas with specialized engineers concentrated in urban areas, A means of receiving and storing registration information of businesses and technical experts in a database, A means including a generative AI model that receives input of consultation content from businesses and analyzes said consultation content, A matching means that automatically selects the most suitable expert based on the analysis results of the generated AI model, A means to support the selected expert technician in providing advice to the client, A means of collecting feedback from clients and using it to improve the system, A system that includes this.

This invention relates to the field of geological safety risk monitoring technology, specifically a side-flipping type soil multi-parameter monitoring device and method with a fixed-depth implantation capability. It includes an outer tube, an inner tube coaxially arranged with the outer tube, a drill bit fixed to the bottom of the inner tube, and a sensor module. The outer tube has a sensor section sleeve and a sealing section sleeve sealed to its end. The outer wall of the sensor section sleeve has an installation groove, in which the sensor module is embedded. The static fixed-depth implantation method eliminates the need for drilling and excavation, minimizing disturbance to the original soil and urban road surfaces. Single-point deployment is simple and efficient, suitable for rapid large-scale deployment of monitoring points in densely populated urban areas. The outer tube employs a modular splicing structure, allowing for flexible adjustment of the implantation depth according to monitoring needs, enabling precise fixed-depth monitoring of soil layers. This solves the core problem of existing technologies being unable to simultaneously address deep monitoring and convenient deployment.

The invention discloses an intelligent crowd gathering detection method under the view angle of an unmanned aerial vehicle, and the method comprises the following steps: image collection: carrying out the patrolling shooting of a target region through the unmanned aerial vehicle, and obtaining an aerial image; pedestrian detection: preprocessing the acquired image, and inputting the preprocessed image into a special YOLOv8-AFPN detection model for pedestrian detection; wherein the special YOLOv8-AFPN detection model is constructed by introducing an AFPN into the YOLOv8 and carrying out multi-stage training on the AFPN and the YOLOv8; the AFPN is used for replacing a PAN-FPN structure adopted by the YOLOv8 in a Neck part; and aggregation analysis: introducing a density-based aggregation judgment algorithm on the basis of completing pedestrian detection by the YOLOv8-AFPN detection model, and identifying an aggregation behavior by analyzing detected pedestrian spatial distribution. The invention further discloses an intelligent crowd gathering detection system under the view angle of the unmanned aerial vehicle. According to the invention, high maneuverability and wide-angle visual field of the unmanned aerial vehicle are utilized to carry out patrol flight on the urban open area, and a special deep learning model is used to realize real-time and accurate identification and early warning of the personnel gathering phenomenon.