Multi-Tenant Energy Data Visualization With Tenant Isolation
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Solution Overview
Problem
Current energy management systems in manufacturing factories lack efficient data management and visualization tools, requiring significant manpower and time to operate multiple servers, and there is a need for automated systems that ensure privacy and independence for each tenant in a multi-tenant environment.
Innovation Solution
A cloud-based service operation method that receives energy data from measurement devices, analyzes it, and visualizes the data through a personalized interface, ensuring privacy and independence for each tenant by using a unique identifier and adjusting data units according to transmission protocols, while generating service result data that indicates energy distribution efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a cloud-based multi-tenant system is implemented to share energy management services across multiple factories, then service cost and deployment complexity are reduced, but data privacy and tenant independence may be compromised
Solution Approach 1:
The system segments data storage and processing by creating isolated virtual environments for each tenant using containerization technology. Each factory's energy data is stored and processed in its own isolated container space, ensuring data privacy while sharing the underlying cloud infrastructure. This segmentation allows multiple tenants to use the same physical servers without data leakage between them.
Solution Approach 2:
The patent introduces a virtualization layer as an intermediary between the physical cloud infrastructure and individual tenant applications. This virtualization layer manages resource allocation, enforces access controls, and maintains isolation boundaries, allowing secure multi-tenant operation without requiring separate physical hardware for each factory.
2Reliability
If manual management of multiple servers is performed to ensure tenant independence, then data privacy is maintained, but manpower requirements and operational time increase significantly
Solution Approach 1:
The system implements automated self-service capabilities through virtualization management platforms that automatically handle tenant provisioning, resource allocation, and isolation enforcement. The virtualization layer automatically manages the creation and configuration of isolated environments for each tenant without requiring manual server setup, reducing operational time while maintaining privacy through automated isolation policies.
Solution Approach 2:
The patent changes the operational parameters from manual server configuration to automated virtual environment management. By transforming the management approach from physical server administration to virtualized resource orchestration, the system reduces the time and manpower required while maintaining security through software-enforced isolation boundaries.
3Adaptability or versatility
If separate physical servers are allocated to each tenant to ensure complete independence, then tenant independence is guaranteed, but system cost and resource utilization efficiency decrease
Solution Approach 1:
The patent merges multiple tenant environments onto shared physical infrastructure through containerization and virtualization technologies. Multiple isolated tenant applications run concurrently on the same physical servers, allowing resource sharing and improved utilization efficiency while maintaining logical independence and data isolation between tenants through software-based separation.
Solution Approach 2:
The cloud-based virtualized platform provides universal functionality that serves multiple tenants simultaneously. The same physical infrastructure and software platform can accommodate different energy management applications for various factories, making the system adaptable to multiple uses while maximizing resource utilization through shared hardware resources.
Data Source
AI summary
Disclosed is a service operation method for managing energy data for each tenant. More particularly, the service operation method monitors energy consumption consumed in a specific space that a tenant manager desires to manage using an individualized energy management service user interface (UI) according to a service development/production environment set by a manager terminal and visualizes a status of use of energy for each specific space from a monitoring result.