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 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 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.

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 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 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 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.