Device Search Using Area ID Matching for Sensor Networks
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Solution Overview
Problem
In sensor networks, the increasing number of devices makes it difficult for users to find the optimal device for their purpose, as the installation place of devices does not always match the target area they are intended to monitor or operate on, requiring users to manually verify parameters such as installation direction and range.
Innovation Solution
A device management system that uses unique area IDs to identify target areas, allowing for accurate device search based on the desired operation area rather than installation location, and calculates the degree of overlap between the target area and user-defined conditions to present suitable devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of sensors is increased to enhance detection performance, then detection performance is improved, but it becomes difficult to find an optimal sensor for a specific purpose
Solution Approach 1:
The patent introduces an intermediary search mechanism between the user and the large number of sensors. The system receives user requests specifying target areas and desired information, then automatically extracts and presents suitable sensors that satisfy the request, eliminating the need for users to manually search through extensive sensor lists and their detailed parameters.
Solution Approach 2:
The system performs self-service by automatically extracting and filtering sensors based on user requests. The search function autonomously processes the large sensor database, matches sensors with user specifications, and presents results without requiring user intervention in the selection process.
2Reliability
If sensors are installed near the target area, then the sensor can potentially detect the target area, but the installation place does not necessarily match the target area sensed by the sensor
Solution Approach 1:
The patent extracts the critical information of 'target area' from the sensor installation context and makes it an independent, explicit parameter in the search system. By separating the installation location from the target area definition, the system can accurately match sensors to user requests based on actual sensing coverage rather than physical proximity alone.
Solution Approach 2:
The system performs preliminary action by pre-defining and storing the target area information for each sensor in the database. This advance preparation allows the search function to immediately and accurately match sensors to user requests without requiring real-time verification of sensor coverage parameters.
3Measurement precision
If users manually check parameters such as installation direction and range for each sensor, then accurate sensor selection is achieved, but user convenience is reduced
Solution Approach 1:
The search function acts as an intermediary that automatically performs the manual verification process. It receives user requests, automatically checks sensor parameters including installation direction and range, and presents pre-filtered results, eliminating the need for users to manually examine each sensor's detailed parameters.
Solution Approach 2:
The patent replaces the mechanical manual verification process with an automated computer-based search system. The system automatically processes sensor parameter data, compares it with user requests, and generates results, substituting the manual mechanical checking process with digital information processing.
Data Source
AI summary
In a technology for allowing accurate and easy search of a device which satisfies a request of a user from among a large number of devices present at various places, an area ID capable of uniquely identifying a target area of the device is registered in a storage section as information on the device. A device search request from the user includes an area condition for identifying an area in which exertion of an operation by the device is desired by the user as a search condition. A matching process section determines the device to be extracted by comparing the target area identified by the area ID of each device with the area condition included in the device search request.