| Method for operating ambient intelligence middleware environment to manage and optimize environments to provide optimized experience to end users, involves providing commands to actuators, and recommending suggestions to stakeholders for approving required actions, and updates in environments | |
| 2024-03-15 | |
| 专利权人 | NEOPHYTE AMBIENT INTELLIGENCE PRIVATE (NEOP-Non-standard) |
| 申请日期 | 2024-03-15 |
| 专利号 | IN202421019100-A |
| 成果简介 | NOVELTY - The method involves receiving data associated with environments by using sensors (902). Digital twins are generated (904) based on information from environments, sensors, and actuators, where the digital twins comprise synthetic representation of the environments. The data and the digital twins associated with the environments in environment databases are stored (906). The data from environment databases is processed (908) to determine optimal actions within the environments by using an ambient machine with artificial intelligence (AI) models. Commands are provided (910) to the actuators to execute the optimal actions. Multiple suggestions are recommended to stakeholders for validating, modifying and approving required actions, and updates in the environments. USE - Method for operating an ambient intelligence middleware environment to manage and optimize environments to provide optimized experience to end users. ADVANTAGE - The method enables efficiently managing complex environments, incorporating real-time physical data into digital simulations so as to increase ability to adapt, and eliminating need for extensive human intervention to function effectively. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is also included for a system for operating an ambient intelligence middleware environment to manage and optimize environments to provide optimized experience to end users. DESCRIPTION OF DRAWING(S) - The drawing shows a flow diagram illustrating a method for operating an ambient intelligence middleware environment to manage and optimize environments to provide optimized experience to end users. 902Step for receiving the data associated with environments by using sensors 904Step for generating the digital twins based on information from environments, sensors, and actuators 906Step for storing the data and the digital twins associated with the environments in environment databases 908Step for processing the data from environment databases to determine optimal actions within the environments by using the ambient machine with the AI model 910Step for providing the commands to the actuators to execute the optimal actions |
| IPC 分类号 | G06Q-010/10 ; H04L-067/12 ; H04L-067/14 ; H04M-001/72454 ; H04N-021/422 |
| 国家 | 印度 |
| 专业领域 | 信息技术 |
| 语种 | 英语 |
| 成果类型 | 专利 |
| 文献类型 | 科技成果 |
| 条目标识符 | http://119.78.100.226:8889/handle/3KE4DYBR/17709 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | NEOPHYTE AMBIENT INTELLIGENCE PRIVATE (NEOP-Non-standard) |
| 推荐引用方式 GB/T 7714 | BHASKARE P,SAHOO A,ANAND A. Method for operating ambient intelligence middleware environment to manage and optimize environments to provide optimized experience to end users, involves providing commands to actuators, and recommending suggestions to stakeholders for approving required actions, and updates in environments. IN202421019100-A[P]. 2024. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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