Self-Configuring Sensor Networks for Industrial IoT Bandwidth and Security
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Solution Overview
Problem
Industrial IoT settings face challenges with communication protocols, bandwidth management, and security, particularly in environments with heavy machinery and dense structures, leading to inefficiencies and security risks, which deter organizations from integrating IoT sensor systems.
Innovation Solution
A self-configuring sensor kit network that includes edge devices and various sensors, capable of transmitting data via multiple protocols, including satellite and cellular connections, with built-in processing and encoding capabilities to optimize data transmission and storage based on real-time conditions, ensuring efficient bandwidth utilization and enhanced security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional communication protocols (cellular, Wi-Fi) are used in industrial settings, then network connectivity can be established, but communication reliability deteriorates due to heavy machinery and dense structures blocking signals
Solution Approach 1:
The patent segments the network into multiple types (cellular, Wi-Fi, satellite, LoRaWAN, 5G) that can operate independently and be selected based on environmental conditions. Each network type handles specific communication needs, preventing single-point failure and maintaining reliability despite physical obstructions.
2Measurement precision
If hundreds or thousands of sensors are deployed to collect comprehensive data, then measurement precision improves, but bandwidth consumption increases and strains computing resources
Solution Approach 1:
The system implements partial data transmission by selectively sending only relevant sensor data to the cloud based on pre-configured rules and thresholds. Edge devices perform local filtering and processing, transmitting only when conditions warrant attention, thus maintaining measurement precision while reducing bandwidth consumption.
Solution Approach 2:
Edge devices serve as intermediaries between sensors and cloud infrastructure. They aggregate, filter, and pre-process data locally before transmission, reducing the volume of data sent over the network while preserving the precision of measurements through intelligent sampling and anomaly detection.
3Productivity
If IoT devices are integrated into industrial networks for monitoring capabilities, then productivity improves, but security risks increase due to vulnerability to attacks
Solution Approach 1:
The system implements self-service security through automated certificate management, encryption key generation, and authentication protocols. IoT devices automatically establish secure connections and manage their own security credentials, reducing the attack surface while maintaining monitoring productivity without requiring manual security configuration.
4Measurement precision
If sophisticated IoT integration systems are deployed for comprehensive monitoring, then measurement precision improves, but device complexity increases requiring specialized expertise
Solution Approach 1:
The patent employs universal edge devices that can handle multiple sensor types and communication protocols through standardized interfaces. This multi-functionality maintains measurement precision across diverse sensors while reducing integration complexity through a common platform that eliminates the need for specialized configuration for each device type.
Data Source
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AI summary
A variety of kits are provided that are configured with components, systems and methods for monitoring various industrial settings, including kits with self-configuring sensor networks, communication gateways, and automatically configured back end systems.