176 results about "City region" patented technology

The invention discloses a three-dimensional geological model constructing and integrating method for a mountain city area, and belongs to the field of three-dimensional geological models. The construction of the three-dimensional geological model for the mountain city area is achieved through the method; due to the fact that the features of the geological structure of the mountain city area are combined, according to the process of constructing a sectional framework, drawing a section and constructing a geological model and the method for constructing the geological model by utilizing the section, the construction of the three-dimensional geological model for the mountain city area is completed more accurately. According to the three-dimensional geological model constructing and integrating method, visualization integration of the three-dimensional regional geological model is further achieved, and a data basis is provided for application analysis of geological topics. Moreover, with regard to the result data of the formed three-dimensional regional geological model, visual integration simulation on a three-dimensional digital city platform is achieved, and real-time geological analysis of the three-dimensional geological model can be achieved in a three-dimensional scene.

The invention discloses a site selection method and device. The method comprises the steps that a city zone where emergency rescue facilities need to be built is determined, and population statistics, administrative division and basic geographic data of the city zone are collected; a multi-target site selection decision model is solved; and the best solution is recognized and output. Accordingly, site selection of city serious emergency rescue facilities can be effectively achieved.

The invention provides an intelligent parking integrated system based on Internet of things. The system is characterized by comprising a gateway management subsystem, a vehicle guiding subsystem, a parking space detection subsystem, a parking lot internal environment acquisition subsystem and a monitoring center. The intelligent parking integrated system based on the Internet of things can count and manage each parking space by use of the perceiving capability of sensor nodes of the Internet of things, provides special guiding service, realizes such functions as parking space management of a parking lot, parking space issuing and the like, totally changes the development direction of the intelligent parking lot, enables city region grade integrated parking management to be reality, fills in the blank in the field of a parking lot based on an Internet of things technology, better optimizes parking resources and solves the problem of insufficient parking resources.

The invention discloses a small-scale air quality index prediction method and system for a city, which firstly divides a city area into a plurality of to-be-predicted locations in a grid form; and then acquires historical data related to each model, and based on historical data: establishing corresponding correspondences The current time prediction and the time prediction model predicted at each moment in the future time, establish a spatial prediction model for air quality prediction at the specified coordinates, and establish a dynamic prediction model that characterizes the relationship between traffic data and geographic interest point data and air quality index, an indoor and outdoor prediction model that characterizes the relationship between the indoor air quality index and the outdoor air quality index; when performing the prediction, the established time prediction model, the spatial prediction model, and the dynamic prediction are performed for any real-time moments to be predicted. The model and the indoor and outdoor prediction models are cooperatively trained to fuse the prediction results of all the models, that is, the predicted values of the air quality index at each moment in the respective current and future time periods of each to-be-predicted location.

The invention relates to an SWMM modeling-oriented and multi-element-considered method for automatically dividing sub-basins of city regions. The method comprises the following steps of: S1, carrying out sub-basin automatic modeling on a to-be-divided region by using DEM data, basic geographic data, land utilization / coverage data and rainwater pipe network data of the to-be-divided region; S2, following the terrains to obtain a river network water outlet sub-basin; S3, obtaining a river network water outlet sub-basin division unit; S4, carrying out division to obtain rainwater well sub-basins; S5, combining the rainwater well sub-basins obtained by the river network water outlet sub-basin division unit and then carrying out topological check and local correction to obtain final geometrical morphologies of sub-basins of the to-be-divided region; and S6, setting attribute information of the sub-basins of the to-be-divided region and carrying out SWMM modeling-oriented automatic calculation on the attribute information of the sub-basins. According to the method provided by the invention, the influences caused by multiple elements such as terrains, river systems, roads, artificial building facilities and rainwater pipe networks to the city surface rainwater conflux are considered, so that the automatic division of sub-basins in the city regions is realized.

The invention aims at providing a method and device for discovering a business circle. The method comprises the steps of dividing a city region into multiple grids and calculating flow density of each grid; determining core grids from the grids, wherein the average flow density of all grids in the density range of the core grids exceed a preset density threshold value; taking all grids in the density range of one core grid as an initial grid cluster by taking the core grid as a start point, thereby obtaining one final grid cluster; and taking each finally obtained grid cluster as one business circle. Compared with the prior art, the method and the device have the advantages that associated grids are combined based on the flow density of the grids by gridding the city region, thereby redefining the business circles according to the finally obtained grids, and the scientific and effective decision support is provided for merchant site selection, property pricing, operating decision and commercial popularization.

The invention discloses a city region surveillance system and device, comprising a video capture device, a face identification module, a face comparison server and a face retrieval system. The video capture device is connected with the face identification module and is used for collecting monitor videos in real time and uploading the monitor videos to the face identification module; the face identification module carries out face identification, feature extraction and face comparison on the uploaded monitor videos frame by frame, and informs the system to alarm when the comparison result shows that a second face image included in the monitor videos and a face image in a black list belong to the same person; the face comparison server carries out comparison on the uploaded second face feature sequence and a preset third face feature sequence set, and stores face images and feature sequence according to the comparison result; and when a user retrieves a face database, the retrieval system feeds back retrieval results, ranked from high to low according to similarity, to the user. The city region surveillance system carries out real-time monitoring and alarm on entrances and exits of key areas, thereby greatly simplifying surveillance and tracking of key suspects.

The invention provides a city region power line detection method based on airborne LiDAR (light detection and ranging) data, relates to the field of city region power line detection and aims to solve problems that power line point cloud is very similar to building edge point cloud and a large quantity of power line information can be lost due to the fact that rasterization treatment is performed on the power line point cloud directly during power line information extraction in a city region environment. The method comprises steps as follows: 1, acquiring LiDAR data after gross error rejection; 2, finding out point cloud in a first echo position; 3, finding out echo point cloud with the echo intensity quantized to be zero; 4, acquiring point cloud after the filter result; 5, acquiring a grid image after point cloud rasterization; 6, determining the linear structure of the grid image after point cloud rasterization; 7, obtaining the final power line detection result and the like. The method is applied to the field of city region power line detection.

The invention relates to a Q-learning based vehicular ad hoc network routing method and belongs to the technical field of Internet-of-things communication. The method includes that (1) a GPS (global positioning system) is loaded to each vehicle in a network, and the vehicles acquire neighbor node information by passing Hello messages therebetween; (2) a city region is divided into equal grids, the position of each grid represents a different state, and transferring from one grid to the adjacent grid represents an action; (3) a Q-value table is learnt; (4) parameters are set; (5) routing strategies QGrid_G and QGrid_M are selected. Vehicles newly added into the network acquire the Q-value table obtained by offline learning from the neighbor vehicles, and the vehicles can be informed of the optimal next-hop grid of message passing by querying the Q-value table of the message destination grid. The grid sequence that the vehicles mostly frequently travel is taken into consideration from a macroscopic point of view, the vehicle which is mostly likely to arrive at the optimal next-hop grid is selected by considering from a microcosmic point of view, and passing success rate of messages in the urban traffic network is increased effectively by the macroscopic and microcosmic combination mode.

The embodiments described herein relate to a modeling system that defines index categories and uses model variables for analyzing successful or non-successful implementation. Data Driven Placemaking (DDP) provides evidence-based support to stakeholders (including designers, decision makers, policy makers, academics, and community members) for the purposes of improving designs for cities (and groupings of city regions and subsets of urban regions), via the collection, storage, transformation, analysis, and visualization of data relating to index categories and model variables.

The invention discloses a city region traffic accident risk prediction method. A future traffic accident risk is predicted through adoption of a coder-decoder deep learning frame with a space-time attention mechanism. On the basis of a great deal of multi-source heterogeneous data related to traffic accidents, the future traffic accident risk is predicted relatively effectively and accurately through fusion of the multi-source heterogeneous data. A main data set comprises traffic accident quantity and traffic flows of different vehicles. External data is external environment data such as weather and street design. According to the space-time attention mechanism provided by the scheme of the invention, space-time characteristics of local and global regions can be grasped at the same time, precision of models is improved, explainability of the models is also improved, and important degree of different influence factors on the predicted value is explained according to the attention value.The frame provided by the invention can be expanded to the other similar fields of space-time data, and the frame has universality value.

The invention provides a city CBD parking lot comprehensive evaluation method. A city CBD parking lot comprehensive evaluation index system is established, then a multi-stage comprehensive evaluation method is used, and a city CBD parking lot comprehensive evaluation model is established. According to the method, the systematic, hierarchy and fuzzy features of parking lot evaluation are fully considered, and a quantitative evaluation result is given. The method is useful for urban traffic managers to understand parking current situation, optimize and improve parking facilities, facilitate residents traveling by cars and solve city area parking lot supply and demand contradiction.

A method for checking vehicle behavior modes on the basis of smart cities includes the following steps that passing information of vehicles on city roads is collected and stored, wherein the passing information of the vehicles comprises vehicle license plate numbers, passing time and information of monitoring points passed by the vehicles; the monitoring points can be jointly formed through RFID or video monitoring; data are recorded, and vehicle historical lists are generated; operating behavior modes of the vehicles are worked out according to vehicle operating lists on the latest 30 days, and vehicles which are in illegal operating states are identified; the passing information of the vehicles on the city roads is collected in real time and compared with that of the identified license plate numbers, if the identified license plate numbers are found, prompts are given out to inform management staff of places where the identified vehicles appear, and monitoring videos of the identified vehicles are transmitted in real time. Operating behaviors of non-operating vehicles in city regions can be quickly checked in combination with real-time monitoring and video real-time distinguishing of a smart city system.

The invention provides an environment wind tunnel simulation experiment device and an experiment detection method thereof. The experiment device comprises a wind tunnel and a mobile measurement framearranged in the wind tunnel. The wind tunnel comprises a collector, a power section, a large-angle diffusion section, a stabilization section, a contraction section, a test section, a diffusion section and an exit diffusion section. The length, width and height of the test section are 28m*5m*3.5 m; the overall length of the whole wind tunnel body is 71.1m; and the wind tunnel is a straight-flow blowing type wind tunnel. The environment wind tunnel in the scheme can finish simulation study of migration and diffusion of pollutants in the atmosphere: wind tunnel simulation of a large scale model,complex terrain influence, simulation study of mesoscale leeward slope, study of influence of rainfall and snowfall on diffusion of pollutants, aerosol deposition and resuspension characteristic research and study of city region pollutant migration and diffusion rules and the like. The experiment device can finish study of transmission and diffusion of pollutants in the atmospheric boundary layerand wet and dry deposition of aerosol.

The invention provides a road congestion optimization algorithm based on the grid theory and relates to an optimization algorithm for congestion algorithm by positioning floating vehicle data in city road grids. The method is characterized in that city regions are divided into grids, city roads are partitioned into thin segments through the grids and are located in the corresponded grids, and the correspondences between the grids and roads are established; the floating vehicle data are classified according to the grids where the floating vehicle data belong to, the number of vehicles of each grid corresponds to the corresponded segments, and the road congestion algorithm is acquired.

The present invention discloses a method and system of land cover verification considering POI (Point of Interest) data spatial heterogeneity. The method comprises: obtaining a POI data set from a Sina Weibo open platform, performing overlapping o the urban area building data provided by an OSM (Open Street Map) and the POI data set, dividing POIs of an urban region and a non-urban region, and correcting a division result; classifying the determined urban region POI, and obtaining the POI classification result of the urban region; classifying different types of POIs of the non-urban region, and obtaining the POI classification result of the non-urban region; generating grid data according to the POI classification result, employing a majority voting algorithm to determine the land cover model of each grid, and generating a land cover classification result based on the POI; and employing a confusion matrix to obtain the verification precision of GlobeLand30 land cover data products based on the POI, and realizing the land cover precision verification considering POI spatial heterogeneity.

The invention discloses a comprehensive control method for the town water pollution in the three gorges reservoir area, comprising a method for controlling a series of pollutants such as the town industrial and domestic pollution sources discharged out of the small-town area and the city area, the urban non-point source pollution caused by the rainfall runoff generation and the like, so that the comprehensive control method has the characteristics of being feasible in technology, reasonable in economical efficiency, remarkable in combined effect and the like, and the defect that the existing pollutant control method is single in implementation mode, free from technology support, and free from pertinence can be overcome. By respectively setting a water pollution control method for the small-town area of the three gorges reservoir area and the residential district, the dense population business district and the industrial park of the city region, the comprehensive control method for the town water pollution in the three gorges reservoir area is integrated, so that the powerful technology support can be provided for realizing the total water quality target requirement and the pollution abatement work in the three gorges reservoir area of China, and the example can be provided for the town water pollution control of various hydraulic and hydro-power engineering reservoir areas in the western China.

The invention relates to a self-adaptive PM<2.5> concentration speculating method based on city region grids.The self-adaptive PM<2.5> concentration speculating method includes the steps that a city region is gridded, original PM<2.5> concentration data is collected through a taxi, the standard is set, the grid resolution is standardized, and the corresponding relationships between the grid resolution refining grade and the grid characteristics are trained in an off-line mode through the extracted grid characteristics; when the city concentration is speculated in real time, the resolution ratio adjusted by the grids is calculated through the extracted real-time grid characteristics and an extracted training model, the grids are newly divided, the PM<2.5>concentration data of all the grids is speculated through a linear regression model, and a PM<2.5> concentration data distribution diagram of the city region is obtained.The self-adaptive PM<2.5> concentration speculating method system is high in expandability and accuracy and small in calculated amount, reference is provided for the resident trip activity, administrative departments are assisted in finding pollution sources, and the city environment quality is improved.

The invention relates to a page method of wireless city network, to reduce the maintenance, page range and number. Wherein, it limits the range of page group in one ASN GW; the Serving GW adds itself mark when transferring the position refresh message of base station; PC / LR receives said position refresh message and records the relationship between page group and Serving GW; when paging, based on said relationship, only sending page message to relative Serving GW.

The invention discloses a large-scale access oriented distributed photovoltaic remote data collection system architecture method, comprising the step of carrying out architecture on an on-site collection terminal, a transmission rule and a collection server side of a remote data collection system. An IP address of the collection server side is fixed. The on-site collection terminal communicates with the collection server side by configuring the transmission rule. According to the transmission rule, a transmission method based on Webservice is employed, and normal data submission, data retransmission and time check service are finished by configuring transmission parameters. According to the method provided by the invention, the access more than thousands of distributed photovoltaic power stations can be supported, the access of millions of measurement points can be supported, the access of the photovoltaic power stations of a province / city region can be covered comprehensively, and an time interval of transmitting real-time data by the system can be set according to a demand. According to the data collection system provided by the invention, all real-time data collection service of the photovoltaic power stations of the region can be provided for a regional power grid, the support for follow-up data analysis and evaluation is provided, the operation characteristics of the accessing photovoltaic power stations can be grasped by the power grid comprehensively, the plan and design of the power grid are optimized, and the new energy consumption and absorption capability of the power grid is improved.

The invention discloses an urban people flow prediction method based on a space-time dynamic neural network, and the method comprises the steps: obtaining the historical movement track data of urban people flow, abstracting the urban people flow data into an image frame, dividing the urban people flow data into a training data set and a test data set according to the time, abstracting the urban people flow data into an image frame, and obtaining the urban people flow prediction result; converting a processing method into an image processing method, inputting an image frame into a three-dimensional convolutional neural network, extracting time characteristics and space characteristics, and capturing mobility characteristics of urban pedestrian flow; inputting the spatial features into a residual convolution block, and capturing the mutual influence of people streams in a region with a relatively long distance in space; and obtaining an urban area people flow prediction result through the training model. According to the method, the spatial-temporal dynamic graph and the residual convolution block are constructed, the urban area population flow characteristics and the spatial globalcorrelation characteristics are combined, the urban area people flow in a period of time in the future is predicted, and the method has the advantages of being high in convergence speed and accuracy.

The invention relates to the technical field of railway train manufacturing, and discloses a train body chassis edge beam structure and a train body with the same. The train body chassis edge beam structure comprises a train body chassis upper edge beam structure and a train body chassis lower edge beam structure, wherein the train body chassis upper edge beam structure comprises a train body inner side rib plate arranged on the upper plane of a train body floor and extending upwards, and the train body chassis lower edge beam structure comprises train body outer side main bearing vertical ribs which are arranged on the upper plane of the train body floor and extend downwards, and train body inner side main bearing vertical ribs opposite to the train body outer side main bearing vertical ribs; and the thickness of the train body outer side main bearing vertical ribs and the thickness of the train body inner side main bearing vertical ribs are equal and both larger than the thickness ofthe train body inner side rib plate. The train body chassis edge beam structure has the advantages of being high in structural strength, good in rigidity and capable of meeting requirements of trainlower equipment edge beam hanging and mounting of city region subway platform trains.

The invention discloses an urban area passenger flow volume prediction method based on mobile phone signaling data. The method comprises the following steps: S1, urban area division; S2, preprocessingof the mobile phone signaling data; S3, residence data processing according to a user track based on the mobile phone signaling data; and S4, urban area passenger flow prediction based on an urban passenger flow prediction model fusing the graph convolutional neural network of the M historical monitoring time periods and external influence factors. The track sequence of the user is obtained through the mobile phone signaling data, so that the change of the passenger flow volume in the urban area is obtained according to the track sequence of the user, and compared with a method for obtaininguser information through GPS data in the prior art, more complete and effective position information can be obtained, and a good foundation is provided for prediction of the passenger flow volume; andsecondly, the spatial correlation of the grid region is extracted by adopting a graph convolutional neural network, so that the accuracy and practicability of passenger flow volume prediction are further improved.

The invention relates to a multicast key management method of wireless metropolitan area network. The method comprises the following steps: (1) distribution of multicast private keys: (1.1) transmitting a multicast private key request grouping from a requester entities to a responder entities, (1.2) transmitting a multicast private key response grouping from the responder entities to the requester entities, and (1.3) transmitting a multicast private key confirm grouping from the requester entities to the responder entities; and (2) distribution or updating of encrypted keys of the multicast private keys; (2.1) broadcasting the encrypted keys broadcasting grouping of the multicast private keys by the responder entities to all of the requester entities, and (2.2) deciphering the encrypted keys of the multicast private keys from the encrypted keys broadcasting grouping of the multicast private keys by the requester entities. The multicast key management method solves the problems of the poor key safety and low updating efficiency of the multicast keys of the multicast key management of the wireless metropolitan area network.

The invention aims at providing a solar distributed point-focusing solar lens tracking system and application thereof. The solar distributed point-focusing solar lens tracking system can be distributed and arranged according to the land conditions of a city region, therefore one group of solar point-focusing utilization systems consists of at least one solar utilization equipment, a solar tracking system, a point-focusing solar lens and a tracking bracket; a plurality groups of solar point-focusing utilization systems are distributed in different regions; and a plurality groups of solar utilization equipment can be mutually connected to form each solar point-focusing utilization system together. The invention can enable the solar slot type solar utilization technology to be suitable for different regions and cities by changing the array mode of the traditional slot type solar system into a distribution mode, thereby lowering the requirements and the limitation for fields; the invention can be conveniently used in different regions and for building integration and also widens the kinds and the modes of solar utilization, thereby being capable of carrying out multiple solar utilizations.

The invention discloses an urban flood assessment method based on urban toughness and an urban watershed hydrological model. The method comprises the steps: acquiring satellite remote sensing data andurban meteorological data; calculating flood disaster occurrence areas, flood ponding areas and ponding depths of cities over the years; constructing an urban drainage basin hydrological framework model and an urban flood disaster response toughness framework model; calculating the toughness index of the city in response to flood disasters; carrying out contribution analysis on all elements of the city, and obtaining dimensions corresponding to the elements with the indexes lower than a first set value, wherein the lower the indexes of the elements are, the weaker the corresponding dimensionsare; calculating the drainage pressure and the ultimate drainage capacity of the urban drainage pipeline opening, and calculating the ponding risk of each area of the city; according to the water accumulation risk of each region of the city, obtaining the city region with the water accumulation risk greater than a second set value, wherein the higher the ponding risk is, the more easily the floodoccurs in the corresponding area; and evaluating the urban flood area and the urban weak dimension in the urban rainfall process.

The invention provides an urban spatial big data-based urban redevelopment and land recognition method and a system. The method comprises the steps of A, determining a preselected city region to be subjected to urban redevelopment and land recognition, subjecting the preselected city region to grid division so as to obtain a plurality of land units, and generating a candidate re-development land unit assembly formed by the plurality of land units; B, according to preset prohibitive identification indexes, selecting the candidate re-development land unit assembly to obtain feasible redevelopment land units, and generating a feasible redevelopment land unit assembly; C, according to preset introductory identification indexes, establishing a multi-target urban redevelopment land urgent degree evaluation model; D, according to the multi-target urban redevelopment land urgent degree evaluation model, evaluating feasible redevelopment land units in the feasible redevelopment land unit assembly to form urban redevelopment land units. According to the invention, the micro-scale objective identification for the land is provided.

The invention discloses a city area traffic emergency plan method for a severe haze weather. Targeting at a haze weather which occurs recently, the invention establishes an emergency plan system which is formed by a database module, a mesoscopic simulator module, an offline optimization platform module and a preferred plan module. The system simulates a pollutant exhausting condition and a pollutant concentration diffusion condition of city area motor vehicles and on the basis of the conditions, the plan system obtains a reasonable and effective emergency plan method through computation and optimization, that is, a novel scheme for limiting a proportion of motor vehicles which enter city areas and timing of signal lamps in the areas. Under a severe weather, the method guarantees that the weather of city areas does not further deteriorate because of pollutant exhaust of motor vehicles and also prevents threats on human health by pollutants.

The application discloses a city region division method, a device and terminal equipment, relates to the technical field of computer applications, and solves the problems that the existing urban division method cannot meet the regional information transfer needs using district as the target in the city, the information transmission efficiency is low, and user experiences are poor. The scheme specifically comprises the steps that the city map to-be-divided is divided into a preset number of unit grids; each divided unit grid is marked, the mark information of each unit grid includes the information of vehicles passing through each unit grid; according to the mark information of each unit grid, through the clustering method, unit grids of the adjacent and the close and with similar vehicle movement law are gathered, to complete the division of city regions. The scheme achieves the division of the city area based on the vehicle trajectory information, meets the information transfer needs in the city using region as the target, and improves the efficiency of information transfer between city areas, so as to improve the technical effects of user experience.

The present scheme is an interactive experience driving method for a virtual automobile. The method comprises: an automobile body consists of a steering wheel, a throttle, a clutch, a brake and gears; sensors and a software interface are mounted on the clutch; the sensors and the software interface are in communication connection with a master computer; the master computer is in communication connection with a rendering instruction output; an image output according to a rendering instruction is displayed onto a virtual helmet display; software firstly acquires information of city regions and vehicle models, traffic situation prompts and records, violation driving prompts and records and daily driving training contents, and imports the violation driving prompts and records into a database, and then performs big data analysis on an individual driving common state. According to the scheme, by adding the software interface into the existing hardware system, so that the sense of reality and operation feeling of driving the virtual automobile of the helmet display are implemented.