Node-Gateway Sensor Data Tagging for Low-Bandwidth Monitoring
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Solution Overview
Problem
Existing systems face challenges in efficiently managing data from multiple sensors in production facilities, leading to increased communication bandwidth requirements and reduced battery life due to the need to identify and manage measurement conditions alongside data, making predictive maintenance difficult.
Innovation Solution
An information processing system with node devices and a gateway device that add node and task identification information to measurement data, allowing efficient communication and storage, even in limited bandwidth, by associating data with specific sensors and tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If many sensors are disposed to collect measurement data for detailed diagnosis and early detection of abnormality, then measurement precision and diagnostic capability are improved, but device complexity and communication bandwidth requirements increase
Solution Approach 1:
The system segments the complex sensor network into hierarchical layers: sensor nodes (individual measurement units), gateway nodes (data aggregation and preprocessing), and cloud platforms (centralized management). This segmentation allows each layer to handle specific functions independently, reducing overall system complexity while maintaining high diagnostic capability through coordinated operation of multiple segmented units.
Solution Approach 2:
The patent introduces a spatial dimension to data management by deploying sensors in three-dimensional production facility spaces and using gateway nodes positioned at strategic locations to aggregate data from multiple sensors. This dimensional approach allows efficient coverage of large facilities without requiring direct connection between every sensor and central system, reducing communication bandwidth requirements while maintaining comprehensive monitoring capability.
2Measurement precision
If many sensors are disposed to collect measurement data for detailed diagnosis, then measurement precision is improved, but communication bandwidth requirements increase
Solution Approach 1:
The system extracts and processes only essential diagnostic information at the gateway node level before transmitting to the cloud. Gateway nodes perform local data filtering, aggregation, and preliminary analysis, extracting key diagnostic parameters from raw sensor data. This extraction approach transmits only critical information over communication channels, significantly reducing bandwidth requirements while maintaining diagnostic precision.
Solution Approach 2:
The system implements partial data transmission by sending only relevant measurement data and diagnostic results rather than complete raw datasets. Gateway nodes determine which sensor data requires transmission based on diagnostic priorities and thresholds, transmitting partial but sufficient information for effective monitoring. This partial action approach maintains diagnostic capability while reducing communication bandwidth consumption.
3Loss of information
If measurement condition data is handled in addition to measurement data, then identification accuracy is improved, but the amount of data increases making it difficult for wireless communication band to accommodate
Solution Approach 1:
The system merges measurement condition metadata with measurement data into unified data structures at the sensor node level. Instead of transmitting separate condition and measurement datasets, the gateway node receives integrated data packets containing both measurement values and their associated conditions (sensor ID, timestamp, measurement type). This merging approach maintains complete identification information while reducing overall data volume through efficient packaging and eliminates the need for separate condition data transmission.
Data Source
AI summary
An information processing system includes a plurality of node devices and a gateway device configured to communicate with the plurality of node devices. Each of the plurality of node devices is connected to a sensor configured to measure a state of a facility, and is configured to execute a measurement task. Each of the plurality of node devices is configured to add node identification information used to identify the node device and task identification information used to identify the measurement task executed by the node device, to measurement data acquired in the measurement task, and send the measurement data to the gateway device.