Sensor Attribute Determination from Element Relationships in IoT Models
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Solution Overview
Problem
In IoT systems, the efficiency of controlling physical facilities is low due to the lack of setting attribute information for sensors, requiring frequent reassociation between information models and sensors during facility installations or changes, leading to inefficient data utilization and facility management.
Innovation Solution
An information processing apparatus that includes a selector to set relationships between elements, a setter to establish these relationships based on predefined information, and a determiner to automatically determine attribute information for sensors, using a mapping device to generate instance information that satisfies predefined restrictions, thereby facilitating efficient sensor-data association and facility control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If attribute information is manually set for sensors, then the accuracy of data utilization is improved, but the time and labor required for facility management increases
Solution Approach 1:
The system enables self-service by automatically determining attribute information for sensors through machine learning models. The sensor attribute determination unit processes sensor data and automatically generates attribute information without requiring manual intervention, allowing the system to serve itself in the attribute setting task.
Solution Approach 2:
The patent replaces the mechanical manual setting process with an automated information processing system. The machine learning model and attribute determination unit substitute human operators, using computational algorithms to automatically extract and determine sensor attributes from raw data, thereby eliminating the need for manual configuration.
2Adaptability or versatility
If association between information model and sensors is recreated for each facility installation, then the adaptability to new facilities is improved, but the efficiency of facility management deteriorates
Solution Approach 1:
The system achieves universality by creating a reusable association between the information model and sensor attributes that can be applied across multiple facilities. The determined attribute information serves as a universal template that can be automatically applied to new facilities, eliminating the need to recreate associations for each installation while maintaining adaptability.
Solution Approach 2:
The patent applies preliminary action by determining and storing attribute information associations in advance during initial facility setup. These pre-established associations can then be automatically reused for new facility installations, allowing the system to prepare ahead of time and avoid repetitive configuration work during subsequent deployments.
3Reliability
If manual verification of sensor attribute information is performed, then the reliability of data utilization is improved, but the complexity of the management process increases
Solution Approach 1:
The system implements feedback by using machine learning models that continuously learn from sensor data and improve attribute determination accuracy over time. The model processes sensor inputs, generates attribute information, and can be refined based on feedback from actual system performance, thereby maintaining high reliability while automating the verification process.
Data Source
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AI summary
According to one approach, an information processing apparatus, includes: a selector configured to select, for a first element of a plurality of elements in first information including the elements and including a first relationship between the elements, relationship setting information being information for setting a second relationship between the first element and at least one second element of the elements; a setter configured to set the second relationship between the first element and the at least one second element, based on the relationship setting information; and a determiner configured to determine attribute information on the first element, based on the second relationship and the first information.