IoT Management Node for Autonomous Roadway Device Control
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Solution Overview
Problem
Conventional IoT deployments do not fully utilize interconnectedness with IoT-capable sensors to determine and autonomously execute actions across various environments, such as smart homes, buildings, vehicles, and cities, lacking robust and scalable solutions for controlling identified devices based on sensor data analysis.
Innovation Solution
Implementing a computing system that receives and analyzes sensor data from IoT-capable devices to autonomously control household, vehicular, and infrastructure devices, enabling smart environment functionality through IoT management nodes, cloud computing, and distributed systems that integrate resources from multiple devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional IoT deployments are used, then device connectivity is established, but autonomous control and task execution based on sensor data analysis are insufficient
Solution Approach 1:
The patent introduces a computing system as an intermediary between IoT sensors and controlled devices. This mediator receives sensor data, analyzes it to determine actions, identifies appropriate devices, and autonomously controls them. The intermediary handles the complexity of autonomous decision-making centrally, allowing individual IoT devices to remain relatively simple while achieving system-level autonomy.
2Reliability
If IoT-capable sensors are deployed across multiple environments, then sensor data coverage is improved, but robust and scalable control solutions are lacking
Solution Approach 1:
The computing system is designed to handle multiple environments (smart homes, buildings, vehicles, cities) through a universal architecture. It can receive sensor data from various IoT devices across different environments, analyze the data, and control appropriate devices in each environment. This multi-functional approach ensures reliable control while adapting to diverse environmental requirements.
3Productivity
If sensor data from multiple IoT devices is collected, then environmental awareness is enhanced, but autonomous task execution capability is insufficient
Solution Approach 1:
The system implements a closed-loop feedback mechanism where sensor data from IoT devices is continuously collected, analyzed to determine actions, and used to control devices that perform tasks. The results of these tasks can be monitored through additional sensors, creating a feedback loop that enhances task execution efficiency while ensuring comprehensive utilization of sensor information.
Data Source
AI summary
Novel tools and techniques are provided for implementing Internet of Things (“IoT”) functionality. In some embodiments, a computing system or IoT management node might receive sensor data from one or more IoT-capable sensors, analyze the sensor data to determine one or more actions to be taken, and identify one or more devices (e.g., household devices associated with a customer premises; vehicular components associated with a vehicle; devices disposed in, on, or along a roadway; devices disposed throughout a population area; etc.) for performing the determined one or more first actions. The computing system or IoT management node then autonomously controls each of the identified one or more devices to perform tasks based on the determined one or more first actions to be taken, thereby implementing smart environment functionality (e.g., smart home, building, or customer premises functionality, smart vehicle functionality, smart roadway functionality, smart city functionality, and so on).