IoT Management Node for Autonomous Device Control
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Solution Overview
Problem
Conventional IoT deployments do not fully utilize interconnectedness with IoT-capable sensors to autonomously control devices for smart environment functionalities such as smart homes, buildings, roadways, and cities, lacking robust and scalable solutions for determining actions based on sensor data.
Innovation Solution
Implementing a computing system that receives and analyzes sensor data from IoT-capable devices to autonomously control identified devices, such as household appliances, vehicular components, and infrastructure, to perform determined actions, utilizing a network of IoT management nodes, cloud computing, and distributed systems for seamless integration and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional IoT deployments are implemented, then device connectivity is established, but autonomous control capability and scalability are insufficient
Solution Approach 1:
The patent introduces a computing system as an intermediary between IoT sensors and controlled devices. This computing system receives sensor data, analyzes it to determine actions, identifies target devices, and sends control instructions. This intermediary layer enables autonomous control without requiring direct complex connections between all sensors and devices, thus improving automation while managing system complexity.
Solution Approach 2:
The system segments the IoT architecture into distinct functional components: sensor data collection, data analysis, action determination, device identification, and control instruction transmission. This segmentation allows each component to be optimized independently and improves overall system scalability and autonomous control capability.
2Adaptability or versatility
If robust and scalable solutions are implemented for smart environment functionalities, then system capability is enhanced, but implementation complexity increases
Solution Approach 1:
The computing system is designed as a universal platform that can handle multiple smart environment functionalities including smart home, building, roadway, and city applications. It receives various types of sensor data, analyzes them using consistent methods, and controls different types of devices through a unified approach, thereby enhancing adaptability without proportionally increasing implementation complexity.
Solution Approach 2:
The system autonomously performs data analysis, determines actions to be taken, identifies appropriate devices, and sends control instructions without requiring manual intervention. This self-service capability enables robust smart environment functionalities while keeping the user-facing complexity low.
3Loss of information
If sensor data is fully utilized for autonomous control, then system intelligence is improved, but data processing requirements and system load increase
Solution Approach 1:
The computing system extracts only the necessary information from sensor data that is relevant for determining actions and identifying devices. Rather than processing all sensor data in full detail, the system extracts key features and insights needed for autonomous control decisions, thereby improving sensor data utilization while reducing overall data processing requirements and energy consumption.
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).