Cloud Sensory Data Synchronization for Scalable IoT Management
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Solution Overview
Problem
Current sensory data management in IoT environments is limited by manufacturer-centric clustering, lack of standardization, and low scalability, making it difficult to collect and manage configurable and meaningful sensory data in dynamic smart environments.
Innovation Solution
An apparatus and method for managing sensory data that includes a data collector for receiving user input and collecting data from sensory devices, a data synchronizer for synchronizing data based on a time frame, and a data persistence part for mapping synchronized data to a pre-stored data model, using dynamic or static models depending on the number of devices, and employing complete or incomplete synchronization methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensory data collection is performed through manufacturer-specific API, then data can be collected from sensory devices, but the platform lacks scalability and adaptability
Solution Approach 1:
The patent implements a universal data collection platform that can interface with multiple manufacturer-specific APIs through a standardized interface. The system uses a common data model and communication protocol that works across different sensory device manufacturers, eliminating the need for separate custom integrations for each device type while maintaining the ability to collect data from various sources.
Solution Approach 2:
The patent introduces an intermediary layer (the standardized API gateway) between the data collection platform and manufacturer-specific devices. This intermediary translates various manufacturer protocols into a unified internal format, allowing the core platform to remain simple while supporting diverse device types through the mediating translation layer.
2Ease of operation
If manufacturer-specific clustering is used for sensory devices, then devices can be grouped and controlled, but standard sensory data cannot be employed
Solution Approach 1:
The patent enforces homogeneity by requiring all sensory devices to adhere to a standardized data model regardless of their manufacturer or type. All devices publish their data using the same schema and format, enabling uniform processing and analysis across the entire device ecosystem while maintaining ease of operation through consistent interfaces.
Solution Approach 2:
The patent segments the device control system into two independent layers: the clustering/grouping layer (which handles device organization and user-friendly control) and the data layer (which enforces standardization). This segmentation allows each layer to function independently - devices can be clustered for ease of operation while simultaneously maintaining standardized data formats for interoperability.
3Adaptability or versatility
If configurable sensory data collection is implemented, then data flexibility improves, but data synchronization and management complexity increases
Solution Approach 1:
The patent implements dynamic data collection where the system automatically adapts the data collection configuration based on the specific device type, context, and requirements. The platform dynamically determines which data points to collect, at what frequency, and in what format, eliminating the need for manual configuration while maintaining high flexibility. This dynamic adaptation simplifies management by removing manual intervention requirements.
Solution Approach 2:
The patent enables self-service data collection where sensory devices automatically register themselves with the platform, declare their capabilities, and begin publishing data according to the standardized model without manual configuration. The system autonomously manages data collection, synchronization, and storage, reducing management complexity while maintaining configurability through automated decision-making algorithms.
Data Source
AI summary
The present disclosure relates to a cloud-based sensory data management technology. An apparatus for managing sensory data according to one embodiment may include a data collector for receiving user input data and collecting data sensed by a sensory device corresponding to the user input data among one or more sensory devices, a data synchronizer for synchronizing the collected data based on a time frame, and a data persistence part for mapping the synchronized data to a pre-stored data model.