9 results about "County level" patented technology

The invention discloses an automatic administrative boundary fusion charting method and a meteorological charting method based on a python language. Belongs to the technical field of meteorological charting, and particularly relates to the cross technical field of meteorological data processing and geographic information system visualization. The method starts with the construction of a multi-scale adaptive boundary fusion map, so as to solve the problems of cross-scale (such as province-to-village) precision faults and large interpolation errors of complex terrains, and achieve a cross-level administrative division boundary seamless aggregation technology (village level-town level-county level-province level). Therefore, the problem that precision is easy to lose when cross-scale conversion (such as from province to village) is carried out during meteorological mapping is solved.

The invention provides an urban government affair cloud management platform and method. The platform comprises a resource scheduling component, a service delivery component and a risk identification component. The method comprises the following steps: optimizing and adjusting government affair cloud resources of a municipal terminal and a district and county level terminal according to a monitoring result; according to a service application request of government affair cloud service sent by a county-level terminal in a receiving area, the content of the service application request is judged according to a defined permission, when a judgment result accords with the defined permission, a municipal terminal receives the service application request and gives an approval reply, and the government affair cloud service is deployed and configured according to the approval reply. The service application is delivered; and performing real-time analysis on an optimization adjustment result and a service application request processing process, identifying potential risks in the optimization adjustment result and the service application request processing process, performing early warning on the potential risks, and informing operation and maintenance personnel of collecting prevention measures. According to the invention, management and distribution of government affair cloud resources are optimized.

The invention discloses an internet hospital disease course management platform based on a county-level second-level first-class hospital, and the platform comprises a county-level hospital doctor APP terminal, a nursing APP terminal, a county town health center APP terminal, a rural health room APP terminal, a patient WeChat official account APP terminal, and data information intervention of the county-level hospital doctor APP terminal and the nursing APP terminal needs qualification examination. Comprising institution admission and physician admission, and the qualification examination function comprises disease course business supervision, qualification supervision, information security, service management and an internet hospital disease course management supervision platform. Compared with the prior art, the system has the advantages that the system solves the problem that the doctor seeing is difficult and inconvenient under the county level, the system is accurate in doctor seeing, convenient and rapid, the problems of shortage of medical resources and imbalance of the medical resources are solved, and the doctor seeing personalized management, the management before and after the treatment and the whole life cycle management of common people are really realized.

The invention discloses a multi-source man-made heat flux estimation method coupling a refrigeration day degree and a heating day degree. The method comprises the following steps: firstly, calculating annual artificial heat emission of each component, and downscaling the annual artificial heat emission to a county level; then constructing an input variable and an output variable; constructing a machine learning model of the artificial heat flux of each component, and performing quantitative verification and performance evaluation on the machine learning model to obtain an optimal artificial heat flux model of each component; spatialization processing is carried out on the artificial heat flux of each component, and grid data of the monthly artificial heat flux of each component at the ground level are output; and finally, calculating the raster data of the annual average artificial heat flux of human respiration at the geographic level, and downscaling the raster data and the raster data of the monthly average artificial heat flux of each component at the geographic level to hour to obtain the raster data of the hourly artificial heat flux of each component at the geographic level at the workday and the rest day in the city. According to the method, the spatial-temporal heterogeneity of urban multi-source artificial heat is effectively captured, and the spatial-temporal resolution and prediction precision of artificial heat flux estimation are improved.

The invention discloses a componentization-based province, city and county weather forecast service integrated construction method and platform, relates to the technical field of meteorological informatization and meteorological service systems, and solves the problem of low service collaboration efficiency of an existing weather forecast service system in a province, city and county multi-level construction process. The method comprises the following steps: packaging weather forecast related capabilities into a standardized component and storing the standardized component into a component warehouse; abstracting each level of weather forecast service system into a configurable platform entity; the service structure of the platform entity is described in a structured configuration mode; based on the service structure configuration data, selecting and combining corresponding components as required, and dynamically generating a weather forecast service system oriented to a provincial level, a municipal level or a county level; the generated weather forecast service system is operated in a unified weather service platform environment, and corresponding component capabilities are loaded according to different service levels and post roles; according to the invention, collaborative operation of the multi-level weather forecast service under a unified technical architecture can be realized.

The invention belongs to the technical field of power load prediction, and discloses a county load short-term prediction method considering differentiated social development levels and dynamic power utilization characteristics of large users, and the method comprises the steps: constructing a social development level index system and a county load characteristic index system, and based on a Pearson correlation analysis method, carrying out the short-term prediction of the county load. Screening and extracting strong correlation social indexes dominating county load development as input variables; a K-Means algorithm is adopted to cluster large users with similar power utilization characteristics, and a multivariate user group load characteristic equivalence curve representing typical power utilization level characteristics of various users is extracted; and based on the power load of the county unit and the historical data of the large users, combining the business expansion information of the large users and the load characteristic equivalence curve of the multivariate user group, and adopting an improved random forest algorithm to predict the power load of the county. According to the method, large user development is taken as a main growth point of county loads, large user load characteristics are introduced for load prediction, and the prediction precision of county level power loads can be remarkably improved.

This invention discloses a big data platform for realizing the value of agricultural tourism ecological products at the district / county level. It adopts an MVVM architecture, with the backend developed based on .NET and the frontend using Vue, HTML5, CSS3, and integrated Echarts. The database uses PostgreSQL with PostGIS, relying on ArcGIS Server for GIS services and implementing map integration through the ArcGIS API for JavaScript. The platform incorporates core accounting models for GEP (Gross Ecological Product) total value, water conservation, and ecological vouchers, including agricultural tourism ecological product surveys, ecological product value calculation, automatic value calculation, ecological voucher agricultural tourism value conversion, database updates, and user management. The platform enables visualization of various agricultural tourism ecological data charts, display of resource survey map data, and GIS spatial statistics of value and functional quantities. It supports multi-scope calculations for administrative regions, scenic areas, and custom areas, and can perform comparisons of two phases of land use data and visualized calculations of ecological vouchers. It also features ecological data year management, editing and updating, and user hierarchical permission control functions. This platform improves the standardization and intelligence of agricultural tourism ecological value management at the district / county level.

The invention discloses an electric power data quality treatment method, which comprises an RPA process robot and a C / S checking tool, and is characterized in that the C / S checking tool carries out statistical analysis on city-county two-level electric power data based on an electric power data treatment rule and automatically identifies data related anomalies; the method further comprises the following steps: deeply integrating a C / S architecture checking tool and a B / S mode RPA platform, on the basis of deep integration, introducing a power data governance rule configuration platform capable of being updated online, introducing a differentiated governance mode of municipal centralized monitoring and county horizon disposal, and introducing a power data closed-loop management governance mechanism of daily monitoring, weekly scheduling and monthly notification. A white list intelligent management module is introduced, and the management level of the power data quality is greatly improved from the two aspects of the coverage range and the time period at the same time; the method has the advantages of being wide in coverage range, reasonable in time period arrangement, high in treatment level and high in use adaptability.

The invention provides a county-level carbon emission prediction method based on multi-source night light data, and relates to the field of carbon emission prediction technology, remote sensing information processing and deep learning, and the method comprises the following steps: obtaining DMSP / OLS night light data in China areas from 1992 to 2013, NPP / VIIRS night light data in China areas from 2012 to 2021, and calculating the data of the DMSP / OLS night light data and the NPP / VIIRS night light data; historical carbon emission, administrative division boundary and longitude and latitude data of statistical data accounting of each province are acquired, and two types of night light data are preprocessed; constructing a multi-algorithm optimized nonlinear fusion calibration model to process the DMSP / OLS night light data and the NPP / VIIRS night light data to obtain night light data with unified and calibrated spatial and temporal scales; constructing a space-time fusion carbon emission prediction model according to the space-time scale unified and calibrated night light data, and performing training; obtaining a provincial-level carbon emission prediction result according to the space-time fusion carbon emission prediction model, and pushing down the provincial-level carbon emission prediction result to a county level; and the county-level carbon emission prediction result is visually displayed on a map.