Sensor Attribute Mapping for Reusable IoT Facility Data 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 repetitive association 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 and Alloy-formatted tag definition information to ensure accurate and efficient sensor-data association.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If attribute information is manually set for sensors, then attribute information can be obtained together with sensor data, but there is sometimes a lack of setting and the process is time-consuming
Solution Approach 1:
The patent creates a relationship table in advance that maps information models to sensors before actual sensor deployment. This preliminary association allows attribute information to be automatically retrieved when sensors are installed, eliminating the need for manual setting during facility installation or changes.
Solution Approach 2:
The system enables automatic determination of sensor attribute information through the pre-established relationship table. When a sensor is installed or data is collected, the system automatically matches the sensor to its corresponding information model and retrieves attribute information without requiring manual intervention, making the process self-service.
2Reliability
If association between information model and sensors is created manually, then relationship can be established, but association must be made again every time a new facility is installed or facilities are changed, leading to low efficiency
Solution Approach 1:
The patent establishes the relationship between information models and sensors in advance through a pre-created relationship table. This preliminary association remains valid across facility installations and changes, eliminating the need to recreate associations manually each time and significantly improving facility installation efficiency.
Solution Approach 2:
The relationship table serves as a universal mapping structure that can be applied across multiple facilities and sensor types. Once created, it provides a reusable framework that maintains association accuracy while supporting various facility installation scenarios without requiring repetitive manual work.
3Loss of information
If manual setting of sensor attributes is performed, then attribute information can be obtained, but the process requires repetitive work during facility changes
Solution Approach 1:
The patent creates a virtual copy of the relationship structure through the relationship table, which mirrors the mapping between information models and sensors. This copied relationship structure can be automatically referenced and applied during facility changes, eliminating the need to manually recreate attribute information settings and reducing facility management complexity.
Data Source
AI summary
According to one embodiment, an information processing apparatus includes: processing circuitry 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; set the second relationship between the first element and the at least one second element, based on the relationship setting information; and determine attribute information on the first element, based on the second relationship and the first information.