4 results about "GIS applications" patented technology

This invention relates to a method and system for intelligent processing and health assessment of multi-parameter acoustic-vibration data in GIS, belonging to the field of power equipment monitoring technology. The method includes: collecting acoustic signature data, vibration data, and geographic location information from GIS equipment to form a raw acoustic-vibration data stream with geographic tags; writing the raw acoustic-vibration data stream into a storage-computing architecture, sequentially extracting and fusing features from the acoustic signature data and vibration data to obtain a multi-parameter feature matrix with geographic tags; using a lightweight convolutional neural network to infer and label suspected faults on the multi-parameter feature matrix; using a support vector machine (SVM) model to identify faults in the multi-parameter feature matrix with suspected fault labels, obtaining the final fault type and confidence level; and combining equipment runtime, maintenance records, fault frequency, and GIS location information to perform a health assessment of the GIS equipment and classify fault levels. This invention significantly improves the accuracy of GIS fault identification and reduces the operation and maintenance costs of large-scale GIS applications.

The invention provides a vector geographic data efficient visualization method and system based on multi-scale optimization and containerization architecture, and belongs to the field of spatial big data visualization and cloud native GIS application. According to the method, the filling rate of the enclosing rectangles and the number of the vertexes are calculated for the original geographic element data, so that automatic classification of regular elements and irregular elements is realized; and respectively constructing two sets of multi-scale expression systems, and storing four types of multi-scale data tables in a spatial database. A containerized micro-service architecture is adopted, and dependence management and cooperative operation are automatically completed through a container arrangement tool. The vector slicing service dynamically selects a corresponding scale expression according to the scaling level. Through cooperative work of a database trigger, a monitoring service and a cache service, the system can calculate an affected slice number range and execute accurate cache deletion when element attributes are updated, and real-time and on-demand slice updating is realized. The method has the beneficial effects that the visualization performance and updating efficiency of massive vector elements are improved.

The present application relates to the field of environmental protection, and particularly relates to a system for predicting domestic sewage and garbage based on urban color. The present application aims at the problem of low accuracy and timeliness of output results, and is difficult to accurately and timely grasp the change trend of domestic pollution load. By using the fusion and transformation of high-resolution urban street scene images and satellite remote sensing images, the color, texture and other landscape features in the images are extracted, and based on the deep learning framework, an innovative prediction model framework of domestic pollution load based on image features is constructed, realizing the analysis of the change characteristics of domestic pollution in time and space, fitting the current AI+GIS application scene, and solving the problem of lag and roughness of macro data characteristics such as social development and population statistics. Compared with the traditional model based on social panel statistical data, the present application has the advantages of short time step and strong spatial details.

This application relates to the field of computer information processing, and provides a method for constructing a geographic information system (GIS) application system for digital agriculture, and a computer program product. The method includes: integrating a GIS function with a digital agriculture application demand, and dividing a GIS application for digital agriculture into a plurality of components based on an integration relationship; developing the components separately and constructing a digital agricultural GIS application component library; and selecting a component from the digital agricultural GIS application component library for assembling, and building a navigation module and various functional modules for the GIS application system for digital agriculture to complete construction of the GIS application system for digital agriculture. This application can adapt to various different digital agriculture application scenarios and personalized user demands.