IoT Data Synchronization via Centralized Mediator Server
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Solution Overview
Problem
Current electronic devices in IoT systems often fail to interact seamlessly, requiring users to navigate multiple interfaces and applications, complicating the coordination of responses across devices from different manufacturers.
Innovation Solution
A method and system that collect and analyze data from various electronic devices, allowing for the storage of datasets with device-specific information, sending operational code, receiving event communications, and triggering functions based on analysis results, enabling efficient data sharing and coordinated responses across heterogeneous devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is collected from multiple electronic devices with different interfaces and protocols, then data coverage and system functionality are improved, but device complexity and user interface complexity increase
Solution Approach 1:
The patent introduces a centralized server as an intermediary component that receives data from multiple electronic devices through their respective interfaces and protocols, processes and normalizes the data, then makes it accessible to users through a unified interface. This mediator approach allows the system to maintain versatility in data collection while simplifying the user interface.
Solution Approach 2:
The server performs multiple functions including receiving data from diverse device types, processing different data formats, storing data in a centralized database, and providing access through a single interface. This multi-functionality consolidates what would otherwise require multiple specialized interfaces into one universal system.
2Adaptability or versatility
If multiple applications with different user interfaces are used to access data from different devices, then device-specific functionality is maintained, but ease of operation deteriorates
Solution Approach 1:
The server acts as a mediator between diverse electronic devices and the user interface. It receives data through device-specific protocols, processes it into a unified format, and delivers it through a single consistent interface, thereby maintaining device compatibility while improving ease of operation.
Solution Approach 2:
The system is segmented into distinct functional layers: device-specific data collection layer, centralized processing layer, and unified user interface layer. This segmentation allows each layer to be optimized independently, maintaining device-specific functionality at the bottom while providing simplicity at the user interface level.
3Productivity
If centralized data processing is implemented, then data coordination and analysis capability are improved, but loss of information and data processing delay increase
Solution Approach 1:
The server performs preliminary data processing actions immediately upon receiving data from devices, including validation, normalization, and initial analysis. This preliminary action reduces the time needed for subsequent processing and enables faster response times while maintaining centralized coordination benefits.
Data Source
AI summary
The present disclosure is directed to apparatus and methods that collect sensed data and that may organize that data such that it can be accessed by user devices or that can be organized and analyzed according to rules, conventions, or policies. Data collected by sensors or devices may be transmitted to a computer or server that stores that data. That stored data may then be analyzed to identify trends, events, or a chain of related events. In certain instances, an analysis of sets of raw data may result in the generation of a report or may result in alerts being sent to particular user devices. These sets of collected data, generated reports, and alert information may be stored and synchronized at one or more computing devices as data sets associated with a group of user devices or with a group of sensing devices.