Factory Energy Management Mode Switching via Blockchain and AI
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Solution Overview
Problem
Existing factory energy management systems (FEMS) lack efficient methods to dynamically adjust their operation modes based on status information and business contexts, leading to suboptimal energy management and increased costs due to inflexible system configurations.
Innovation Solution
An electronic device utilizing blockchain technology and artificial intelligence to determine and adjust the operation mode of multiple FEMSs among standalone, peer-to-peer, and master-slave modes, optimizing data sharing and system operation through real-time monitoring and load management, while ensuring data integrity and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If FEMS operates in a fixed configuration mode, then system stability is maintained, but adaptability to business changes deteriorates
Solution Approach 1:
The system dynamically switches between standalone, peer-to-peer, and master-slave operation modes based on real-time status information and business contexts. This dynamic adaptability allows the FEMS to maintain stability within each mode while adapting to changing business requirements by transitioning between modes, resolving the contradiction between system stability and adaptability.
2Device complexity
If FEMS operates in standalone mode, then system complexity is reduced, but energy management efficiency deteriorates
Solution Approach 1:
The system dynamically transitions between standalone operation and collaborative modes (peer-to-peer or master-slave) based on business contexts and status information. When energy management efficiency requirements increase, the system automatically switches to collaborative modes that leverage multiple FEMS resources, thereby improving energy management efficiency without permanently increasing system complexity.
3Adaptability or versatility
If FEMS uses dynamic mode switching, then adaptability improves, but system complexity deteriorates
Solution Approach 1:
The FEMS autonomously determines its operation mode by evaluating its own status information and business contexts without requiring complex external control systems. This self-service capability enables dynamic adaptability while minimizing the complexity of mode management, as each FEMS independently makes decisions based on predefined criteria and real-time conditions.
4Ease of operation
If FEMS operates without mode determination, then ease of operation is maintained, but energy efficiency deteriorates
Solution Approach 1:
The system automatically determines and switches between operation modes based on status information and business contexts without requiring manual intervention. This self-service mode determination maintains ease of operation while significantly improving energy efficiency by optimizing the operational configuration according to real-time conditions and business requirements.
Data Source
AI summary
An electronic device and an operating method thereof for determining an operation mode of factory energy management systems (FEMSs) are provided. The electronic device includes a processor and a memory configured to store instructions. The instructions, when executed by the processor, cause the electronic device to determine, according to status information of a plurality of FEMSs, an operation mode of each of the plurality of FEMSs, and in response to a request from a target FEMS, which is one of the plurality of FEMSs, transmit a corresponding operation mode to the target FEMS, wherein the target FEMS is configured to operate data in the operation mode received from the electronic device, and wherein the plurality of FEMSs is connected to each other via a blockchain network to share data.