Hyper-aware Facility Explained
IoT is collectively the eyes and ears of a hyper-aware facility and generates logical representations of physical data (for example, temperature, energy consumption, occupancy, etc.), which is supplemented with contextual information generated by a smart building’s data network (for example, identity, location, applications in use, etc.) The richer the set of data and context, the more adaptive the building can become.
为什么设施高意识很重要?
Hyper-aware facilities provide situational awareness about efficiency, productivity, reliability, safety, and security. Having this data and context allows you to be responsive to processes, people, and the operating environment.
Hyper-aware facilities provide information such as:
- The environment in which devices are operating
- The status of occupants’ energy consumption and what’s causing it
- The service needs of the facility
- 如何提高安全性
优势在超感知设施中的作用是什么?
- IoT and OT devices generate telemetry data at the Edge.
- The Edge is where contextual data is created by intelligent networks.
- The Edge is where the majority of cyber breaches start.
- The Edge is where process failures occur, which can severely impact business.
- The launch point for uniform visibility and uniform security is at the Edge.
Challenges in hyper-aware facilities
- 访问遥测和上下文
- 数据安全和隐私
- 找到人和事物
- Deciding where to compute workloads
- Identifying and remediating root causes of problems
Why Aruba?
Because smart facility requirements change over time, these functions and services need to run on an extensible platform that can adapt to future demands without ripping and replacing infrastructure. By securely connecting IoT devices and generating robust contextual information from the network,阿鲁巴的边缘服务平台(ESP)enables organizations to automate, unify, and protect the Edge to drive facility hyper-awareness.
ESP统一基础设施,边缘到云安全性, 和AI驱动的见解- 与来自关键技术合作伙伴—enable enterprises to unify IT, IoT, and OT networks. Organizations can easily adapt to evolving business requirements with a hyper-aware network that combines IoT data with network-enabled contextual analytics.