Sensor Data Management System Using Segmented Gateway Architecture
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Solution Overview
Problem
Current sensor technologies face challenges in efficiently managing and processing data from distributed sensors, particularly in providing customizable and flexible data collection and analysis solutions that meet the diverse needs of various sensor applications within the Internet of Things (IoT) framework.
Innovation Solution
A sensor data management system that utilizes a 'sensors as a service' model, enabling centralized data collection, processing, and distribution through a web API, allowing for customization of data conversion, storage, and distribution to various sensor applications, along with remote configuration of sensor networks using HTTP methods and standardized protocols like Modbus or BACnet.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distributed sensors are deployed to monitor physical environment conditions, then measurement coverage and data collection capability are improved, but data management complexity and processing burden increase
Solution Approach 1:
The patent introduces a gateway as an intermediary component between distributed sensors and the central server. The gateway collects data from multiple sensors, performs preliminary processing and filtering, and manages data transmission to the server. This intermediary layer reduces the processing burden on the central server while maintaining comprehensive environmental monitoring capabilities across distributed locations.
2Ease of operation
If sensor data is collected and processed centrally, then data management control is improved, but communication overhead and response time increase
Solution Approach 1:
The patent divides the data management system into segmented hierarchical levels: local gateways that handle preliminary data processing and filtering, and a central server that performs comprehensive analysis. This segmentation allows critical time-sensitive operations to be performed locally at the gateway level, reducing communication overhead and response time while maintaining centralized control for overall data management decisions.
3Adaptability or versatility
If customized data processing is implemented for different sensor applications, then application-specific performance is improved, but system complexity increases
Solution Approach 1:
The patent implements dynamic data processing where the gateway and server can adapt their processing operations based on the specific application requirements. The system dynamically configures data collection parameters, processing algorithms, and transmission frequencies according to the sensor type and application needs, allowing customized processing without requiring separate dedicated systems for each application.
4Speed
If real-time sensor data processing is implemented, then responsiveness to environmental changes is improved, but energy consumption increases
Solution Approach 1:
The patent implements periodic data sampling and processing at the gateway level, where sensors collect data at predetermined intervals rather than continuously. The gateway processes and filters this periodic data stream, transmitting only significant changes or aggregated results to the server. This periodic approach maintains real-time responsiveness to environmental changes while significantly reducing the energy consumption compared to continuous processing.
Data Source
AI summary
A system, method and apparatus for configuring a node in a sensor network. A sensor service can enable sensor applications to customize the collection and processing of sensor data from a monitoring location. In one embodiment, sensor applications can customize the operation of nodes in the sensor network via a sensor data control system.