IoT Sensor Data Normalization for Cross-Device Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional home automation systems using IoT devices are limited in their ability to support end users, as they often operate independently and lack the capability to aggregate and analyze disparate sensor data from various IoT devices, leading to inadequate control and monitoring services.
Innovation Solution
A computing system that aggregates, normalizes, and integrates IoT data from disparate devices, using cloud-bots to analyze the data and initiate response actions across multiple IoT devices, regardless of their manufacturer or data format, enabling more comprehensive control and monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional home automation systems use independent IoT devices, then device simplicity and ease of manufacture are maintained, but the system lacks the capability to aggregate and analyze disparate sensor data, leading to inadequate control and monitoring services
Solution Approach 1:
The patent introduces a cloud-based platform as an intermediary that aggregates and normalizes sensor data from multiple independent IoT devices. This mediator handles the complexity of data integration, allowing individual devices to remain simple while the system as a whole gains advanced analytical capabilities through cloud-based processing and machine learning models.
2Measurement precision
If IoT devices operate independently without data aggregation, then device complexity is reduced, but the system cannot perform comprehensive analysis that would enable determinations not possible with individual device analysis alone
Solution Approach 1:
The patent merges data from multiple independent IoT devices into a unified normalized dataset in the cloud. By combining sensor readings from various sources (temperature, humidity, motion, etc.) and applying machine learning models, the system achieves higher determination accuracy for predictions like mold growth risk, while the individual devices themselves remain simple and unchanged.
3Adaptability or versatility
If the system integrates multiple data formats from different manufacturers, then adaptability and versatility improve, but the complexity of normalizing and processing disparate data increases
Solution Approach 1:
The patent implements a universal cloud-based platform that can process and normalize data from multiple manufacturers and device types through a single interface. The system uses standardized data schemas and adaptive normalization algorithms that automatically handle different data formats, enabling the system to work with diverse IoT devices without requiring device-specific processing logic.
Data Source
AI summary
Storing a plurality of cloud-bots, each of the plurality of cloud-bots including a respective service. Gathering first data over a communication network, the first data being associated with a first Internet-of-Things (IoT) device. Gathering second data over the communication network, the second data being associated with a second IoT device. Triggering execution of a particular cloud-bot of the plurality of cloud-bots. Evaluating at least a portion of the first data and at least a portion of the second data against a response condition of a cloud-bot model of the particular cloud-bot. Initiating one or more response actions in response to satisfaction of the response condition, the one or more response actions controlling one or more device actions of a particular IoT device.