Sensor Data Control System for Multi-Vendor IoT Networks
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Solution Overview
Problem
Single-vendor solutions for sensor networks restrict access to sensors and data, limiting customers' ability to leverage industry-leading functionalities from different vendors and hindering the development of sensors as a service model, which is essential for the Internet of Things (IoT).
Innovation Solution
A sensor data control system that uses a web API to collect, process, and distribute sensor data from multiple monitored locations, allowing various sensor applications to customize data collection, processing, and configuration, enabling open access and usage of sensors and data across different interests and locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single-vendor solution is used for sensor networks, then system simplicity and vendor support are improved, but access to sensors and data is restricted and vendor lock-in occurs
Solution Approach 1:
The patent segments the sensor network system into independent components: sensor nodes, gateway, and cloud platform. Each component can be configured and accessed independently through standardized interfaces, allowing customers to leverage functionalities from different vendors while maintaining system simplicity through modular architecture.
Solution Approach 2:
The patent implements universal communication protocols and standardized data formats that enable multiple vendors to interoperate within the same sensor network. The gateway and cloud platform use vendor-agnostic interfaces, allowing the system to access and process sensor data from diverse sources without requiring vendor-specific solutions.
2Ease of manufacture
If a single-vendor solution is used for sensor networks, then implementation ease is improved, but adaptability to different applications and vendors is reduced
Solution Approach 1:
The patent implements dynamic configuration capabilities where sensor nodes, gateways, and cloud platforms can be dynamically added, removed, or reconfigured. The system supports runtime parameter adjustments and flexible deployment scenarios, enabling easy implementation while maintaining high adaptability to different applications and vendor combinations.
Solution Approach 2:
The patent introduces a gateway as an intermediary layer between sensor nodes and the cloud platform. This gateway handles protocol translation, data formatting, and communication management, simplifying implementation by abstracting vendor-specific details while enabling adaptability to multiple sensors and platforms through standardized interfaces.
3Stability of the object's composition
If centralized configuration is used for sensor nodes, then configuration consistency is improved, but network flexibility and node autonomy are reduced
Solution Approach 1:
The patent implements feedback mechanisms where sensor nodes report their status and configuration to the centralized system, which then provides configuration updates and consistency checks. This allows centralized configuration management to maintain consistency while enabling nodes to adapt to local conditions and network changes, balancing control with flexibility.
Solution Approach 2:
The patent performs preliminary configuration validation and preparation before deploying settings to sensor nodes. The centralized system pre-processes configuration data, checks for consistency, and prepares update packages, ensuring configuration consistency is maintained while allowing nodes to autonomously apply validated configurations and adapt to their specific operational contexts.
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.


