Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

5 results about "Internet of things cloud computing" patented technology

Internet of Things and Cloud Computing(IOTCC) provides a forum for sharing timely and up-to-date publication of scientific research and review articles. The journal publishes original full-length research papers in all areas related to the theory and application of the Internet of Things and Cloud Computing.

A smart park management platform based on park informationization construction

This invention relates to the field of park management technology, specifically a smart park management platform based on park informatization. This platform integrates advanced technologies such as the Internet of Things, cloud computing, and big data to achieve informatization and intelligentization of various management tasks within the park. Specifically, it includes functions for park infrastructure management, energy management, security management, property management, and investment promotion management. By monitoring and analyzing energy usage within the park in real time, and combining big data and artificial intelligence technologies, it can propose reasonable energy allocation suggestions to achieve energy conservation and emission reduction goals, reduce park operating costs, and respond more quickly and accurately to the needs of users within the park through various management and service applications provided by the platform, such as park infrastructure management and property management, thereby improving service quality.
Owner:SHANGHAI STARTING LINE MAKER SPACE MANAGEMENT (GROUP) CO LTD

Method and device for acquiring server component selection scheme, and electronic equipment

PendingCN120893937AOffice automationCommerceInternet of things cloud computingData cloud
The invention provides a server component selection scheme obtaining method and device, electronic equipment and a readable storage medium, and relates to the technical field of artificial intelligence such as big data, cloud services, the Internet of Things and cloud computing. The method for acquiring the server component selection scheme comprises the following steps: determining first component demand information according to initial component demand information and a target inventory type of a server to be delivered; obtaining at least one piece of candidate component inventory information corresponding to the at least one candidate inventory type; and matching the first component demand information with the at least one piece of candidate component inventory information according to the priority of the at least one candidate inventory type, and obtaining a target component selection scheme of the server to be delivered according to a matching result. According to the invention, the obtaining efficiency and obtaining accuracy of the target component selection scheme can be improved.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD

Big data connection convergence and governance platform based on intelligent adaptation engine

The invention discloses a big data connection convergence and governance platform based on an intelligent adaptation engine. The platform comprises the intelligent adaptation engine, a dynamic quality evaluation module and a real-time processing engine, the intelligent adaptation engine dynamically adapts heterogeneous data source access through protocol behavior analysis; the dynamic quality evaluation module generates a quality score based on the three-dimensional features of the structure, the content and the timeliness; and the real-time processing engine executes hierarchical flow control and parallel cleaning according to the quality score. Through intelligent, dynamic and closed-loop design, the limitation of a traditional architecture is broken through, and an efficient and reliable data governance solution is provided for scenes such as industrial Internet of Things and cloud computing.
Owner:NANJING DANSHU TECH CO LTD

An AI remote instruction transmission system based on cloud native

The application discloses a kind of AI remote instruction transmission systems based on cloud native, belong to Internet of Things, cloud computing and artificial intelligence technical field.The application includes: cloud native platform, deployment in public network, provide WebSocket service and public network access address;AI module, with the cloud native platform communication, for receiving user natural language instruction, after analysis, by HTTP POST request sent to cloud native platform;Intranet equipment, located in user intranet, actively with the cloud native platform establishes WebSocket long connection, receives and analyzes instruction from AI module.The application does not need public network IP, does not need port mapping, does not need to set router, realizes the remote instruction transmission of public network to intranet equipment;Support AI automatic execution, without manual intervention;With covert security, low cost, personal can be independently completed and the like advantages.The application can be widely applied in intelligent furniture, Internet of Things, remote control and the like field, solves the technical problem that public network cannot directly control intranet equipment.
Owner:赵科宇

Intelligent mine remote intelligent integrated control method

This invention provides a remote intelligent integrated control method for smart mines, including steps such as data acquisition and integration, and 3D digital modeling. This method utilizes advanced technologies such as 3D GIS, IoT, cloud computing, and big data to achieve a comprehensive control approach for the digital transformation and upgrading of mines towards intelligence and smart technology. By integrating traditional 2D mine maps and data from various business systems, this method performs 3D digital modeling of relevant mine scenes and equipment, establishes a mine big data platform, and displays various IoT information in a 3D visualization model. Through AI models, the data is analyzed to perceive and predict various risks and hidden dangers in mine operations, thereby improving the mine's safe mining operation capabilities.
Owner:SICHUAN ZHONGYU XIANGQING TECH CO LTD