4results about How to "Improve informatization" patented technology

The present application belongs to the technical field of environmental protection monitoring, and particularly relates to an environmental protection monitoring and inspection robot, which comprises a shell, a monitoring rotating module is installed at the upper end of the shell, and a high-definition camera and an infrared thermal imager are respectively installed at the left and right sides of the monitoring rotating module. The present application can realize the collection of omnibearing visible light and infrared images, and through visual intelligent algorithm analysis technology, the robot can autonomously identify various machines and equipment in a factory, automatically classify pollution source types, monitor various environmental indexes of an industrial enterprise production line in the process of robot intelligent inspection and monitoring, divide the early warning level based on good or extreme weather, and link with the equipment to assist in decision-making of whether the operation of each process of the industrial enterprise and the equipment continues, strengthen the supervision of the operation of the enterprise workshop, ensure the rationalization of production in the workshop, and improve the informatization and intelligentization level of the ecological environmental bureau in monitoring the environmental quality.

The present application relates to a kind of tunnel blasting parameterization hole arrangement design and numerical model automatic generation method, comprising the following steps: S1.tunnel section and hole arrangement region profile parameterization;S2.based on the profile point set data of tunnel section and hole arrangement region obtained in step S1 and the blast design parameter input by user, automatically calculate the coordinates of cut hole, auxiliary hole, peripheral hole and floor hole, generate visual blasthole arrangement scheme, and export the file including all blasthole information;S3.through script program driving finite element pre-processing software, automatically and batchedly execute modeling operation.The present application realizes from the parameterization design of hole arrangement scheme to the automatic, batched generation of numerical model, can realize the rapid generation of hole arrangement scheme and corresponding numerical model under the size of any tunnel section contour and blasthole arrangement parameter, provides powerful technical support and guarantee for the prediction of tunnel blasting effect and the adjustment and optimization of hole arrangement scheme.

The application provides a wind turbine operation and maintenance management method based on a knowledge graph, comprising the following steps: performing text content and feature analysis and preprocessing, dividing entity types according to the similarities and differences of entity properties, giving constraint definitions for the relationships of entity types at various levels, and extracting entity words for wind farm operation and maintenance by using a rule matching algorithm based on an improved TextRank; defining the relationships between various entities according to field texts, and realizing the relationship linkage between different entities by using an entity relationship extraction algorithm based on rule matching; constructing a safety management procedure graph and a device operation and maintenance requirement graph established based on a protégé wind power equipment ontology instance topological relationship library; realizing the visualization of the knowledge graph for wind turbine operation and maintenance management, and forming an application scheme by using a query language and a graph embedding technology. Compared with the prior art, the application has the advantages of high accuracy, high efficiency and strong field professional application.

This invention discloses a method for dynamic monitoring of forest resources and automatic database updating based on multi-source remote sensing data, belonging to the field of forestry informatization. This method addresses the inconsistencies in resolution, imaging time, and band coverage of multi-source remote sensing data by dynamically generating multi-scale grids to achieve spatial alignment and fusion of data. Utilizing temporal residual discriminative convolutional networks and sparse attention mechanisms, it intelligently detects changes in forest resources, achieving efficient and automatic attribute inversion. The system also includes automatic differential database updates and multi-version management to ensure information synchronization and reliability. Combined with external climate and fire data, it provides alarms for abnormal changes and suggestions for auxiliary intervention, forming an intelligent closed loop from monitoring to management. This method improves the automation, intelligence, and precision of forest resource monitoring and is suitable for large-scale, dynamic forest resource management scenarios.