Gateway Situation Value Calculation for Sensor Data Optimization
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Solution Overview
Problem
In systems where sensor node data is transmitted to a gateway and stored in the cloud, continuous monitoring is required, making it inefficient to obtain necessary information only when needed.
Innovation Solution
An information processing device with a processing unit, sensing unit, condition storage unit, determination unit, situation value calculation unit, and output unit that calculates and outputs a situation value based on measured values when predefined conditions are met, allowing for selective data retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data from sensor nodes are transmitted to a gateway and stored in a cloud for continuous monitoring, then complete data availability is achieved, but resource efficiency deteriorates due to unnecessary continuous transmission and processing
Solution Approach 1:
The gateway device pre-calculates and stores situation values (aggregated data from multiple sensor nodes) before they are requested. When a request arrives, the gateway can immediately provide the pre-computed situation value without needing to continuously collect and process raw sensor data, thus reducing energy consumption while maintaining data availability.
Solution Approach 2:
The gateway acts as an intermediary between sensor nodes and external systems. Instead of transmitting all raw sensor data to the cloud, the gateway processes and aggregates data locally, transmitting only necessary situation values. This intermediate processing reduces the amount of data transmitted and stored, improving energy efficiency while preserving essential information.
2Loss of time
If continuous monitoring of sensor data is implemented in the cloud, then real-time information availability is improved, but system complexity increases due to continuous data transmission and processing requirements
Solution Approach 1:
The gateway pre-computes and stores situation values in advance, so when queries are made, the information is already prepared and can be returned immediately. This eliminates the need for complex real-time data collection and processing infrastructure in the cloud, reducing system complexity while maintaining fast information availability.
Solution Approach 2:
The patent extracts the data processing function from the cloud and implements it locally at the gateway. By taking out the aggregation and computation operations from the centralized cloud system and performing them at the edge gateway, the system reduces cloud infrastructure complexity while maintaining rapid information availability through local pre-computation.
3Loss of information
If all sensor data are transmitted and stored in the cloud, then data completeness is improved, but data transmission volume increases unnecessarily
Solution Approach 1:
The gateway extracts and transmits only the essential situation values (aggregated results) rather than all raw sensor data. This selective transmission approach maintains data completeness for the information that is actually needed while dramatically reducing the volume of data transmitted across the network.
Solution Approach 2:
The gateway merges data from multiple sensor nodes into consolidated situation values before transmission. By combining multiple individual sensor readings into single aggregated metrics, the system maintains complete information about the monitored environment while reducing the total quantity of transmitted data.
Data Source
AI summary
To enable necessary information to be obtained from a sensor when necessary. An information processing device includes a processing unit including a memory, a sensing unit, a condition storage unit configured to store a condition for outputting a situation value indicating a state according to a situation in which the information processing device is disposed, a determination unit configured to determine whether the condition is satisfied, a situation value calculation unit configured to calculate the situation value based on a measured value acquired by the sensing unit, and an output unit configured to output the situation value when the condition is satisfied.