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97 results about "City area" patented technology

Urban area. n. (Human Geography) (in population censuses) a city area considered as the inner city plus built-up environs, irrespective of local body administrative boundaries.

Three-dimensional geological model constructing and integrating method for mountain city area

ActiveCN103886641ABuild accuratelyRealize visual integration3D modellingGeomorphologyVisual integration
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.
Owner:CHONGQING SURVEY INST

Small-scale air quality index prediction method and system for city

InactiveCN108701274AAchieving Air Quality PredictionImprove accuracyForecastingInformaticsEngineeringOutdoor air quality
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.
Owner:BEIJING QUALITY TECH CO LTD

Thermal power pollution factor control method of air fine particles

ActiveCN104537462AReduce investmentLess investment can achieve betterForecastingResourcesEnvironment of AlbaniaEngineering
The invention discloses a thermal power pollution factor control method of air fine particles. The method includes the steps that data related to production of thermal power plants are obtained from the power production department, meteorological and PM2.5 monitoring data are obtained from the environment protection bureau, influences of pollutants emitted by one single thermal power plant on PM2.5 are calculated quantitatively, and an analysis model of the influences of one single thermal power plant on surrounding environment pollution is built; model superposition is carried out on the single thermal power plants to form thermal power generation emission PM2.5 quantitative analysis model around a city, and thermal power PM2.5 pollution around important cities even larger geographic areas is analyzed quantitatively; prediction and quantitative calculation are carried out on pollution emission by means of power generation amount of the thermal power plants, the production process and environment parameters to obtain quantitative priority of thermal power plant government. By means of the method, the influences of the pollutants emitted by thermal power enterprises around the city on PM2.5 are quantitatively analyzed, prediction of a week level and a month level of the PM2.5 value in the important city area is carried out, bases are provided for the government to make policies, and environment protection is achieved while production is guaranteed.
Owner:廖鹰

Comprehensive control method for town water pollution in three gorges reservoir area

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.
Owner:CHONGQING UNIV

The invention discloses an uUrban community structure mining method and device based on navigation data

The invention relates to an urban community structure mining method and device based on navigation data, belonging to the. Data data processing technology field, T. The invention discloses a method for providing taxi navigation data. clustering the get-off points, determining a center point of each cluster, and performing Thiessen polygon division on the hot spot area by taking the center point asa reference point to realize division of the city area, so that the distance between all sample points in the polygon and the reference point in the polygon is shorter than that between the sample points in the polygon and any other reference point; A; and abstracting the discretized hot spot areas into a graph, and gathering the divided areas with stronger connection through a clustering algorithm to form a community. According to the invention, good perceptibility of taxi operation behaviors to resident travel activities and urban dynamic characteristics is fully utilized; O; on the premiseof no expert knowledge, urban community structure characteristics can be automatically obtained in an unsupervised mode, and effective decision-making means and reference information can be providedfor reasonable urban function area planning, land resource utilization and road traffic construction.
Owner:PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU

Cloud service system for home-based care for the aged

The invention provides a cloud service system for home-based care for the aged, which comprises a city big data center consisting of a data acquiring unit and a city-area narrow-band internet-of-things unit, a care service sub-unit, a calling center sub-unit, a pre-warning prompting and aiding sub-unit, a government data sharing sub-unit, a cloud data analyzing engine unit. The data acquiring unit comprises an intelligent smoke sensor, a water consumption information sensor, an SOS emergency speaking module, a door and passage human body sensor, and a biological characteristics sensor. The data acquiring unit is arranged at home; and the wireless data outputted from the data acquiring unit act on the city-area narrow-band internet-of-things unit; and the city-area narrow-band internet-of-things unit, is connected with the cloud data analyzing engine unit through the city-area narrow-band internet-of-things; the government data sharing sub-unit and the cloud data analyzing engine unit are connected through a network. The care service, the calling center, the pre-warning prompting and aiding, the government data sharing sub-units are software installed in the computer of the engine unit. With the system, it is possible to provide assistance and aid to the aged and provide data for relevant government departments.
Owner:厦门市巨龙软件工程有限公司

Automatic division method for catchment area of urban drainage pipe network

The invention discloses an automatic division method for a catchment area of an urban drainage pipe network, solves the problem of low division efficiency of an existing catchment area, and belongs to the field of cross application of environmental engineering, visible light remote sensing image semantic segmentation and computer vision. The method comprises the following steps: S1, acquiring a remote sensing image of an urban target area, and constructing a training data set; S2, utilizing a convolutional neural network coupling variant residual network to construct a road network extraction convolutional neural network model, and using a variant residual network as a coding structure of the convolutional neural network; S3, training a road network extraction convolutional neural network model by using the training data set, and determining parameters of the road network extraction convolutional neural network model; S4, inputting the remote sensing image of the city area to be divided into a road network extraction convolutional neural network model, and extracting road network information; and S5, dividing the extracted road network information into water catchment area, and further dividing sub-water catchment areas by using an inverse distance weighted Thiessen polygon method in combination with prior information of rainwater well point distribution.
Owner:HARBIN INST OF TECH
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