From Claude with some prompting
explain the image in more detail from the data collection perspective and how the data analysis platform facilitates the expansion of AI services.
First, we can see the data collection stage where data is gathered from various systems within the data center building, such as electrical, mechanical, security, and so on, through subsystems like EPMS, BAS, ETC. This collected data is stored in the Data Gathering DB.
Next, this accumulated data is transmitted to the Data Analysis Platform via an API. The necessity of the data analysis platform arises from the need to process the vast amount of collected data and derive meaningful insights.
Within the Data Analysis Platform, tools like Query, Program, and Visualization are utilized for data analysis and monitoring purposes. Based on this, services such as Energy Optimization and Predictive Failure Detection are provided.
Furthermore, by integrating AI technology, data-driven insights can be enhanced. AI models can leverage the data and services from the data analysis platform to perform advanced analytics, automated decision-making, and more.
In summary, the flow is as follows: Data Collection -> Data Processing/Analysis on the Data Analysis Platform -> Provision of services like Energy Optimization and Failure Prediction -> Integration of AI technology for advanced analysis and automation, all contributing to effective data center management.
Lechuck Park 