IoT Data Transformation Compilation Engine
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Solution Overview
Problem
Configuring and managing data transformations for multiple IoT devices is time-consuming and costly, especially as the number of devices increases, due to the need for manual definition and customization of data formats and alert configurations.
Innovation Solution
A system and method that dynamically defines and compiles data transformations for IoT devices, generating executable code to transform data from one format to another, and registering it for execution, along with a dynamic rule and alert templating engine that uses device-specific metadata to automatically generate custom alerts and rules, reducing manual configuration needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual configuration of data transformations is performed for each IoT device, then data format accuracy is improved, but configuration time and cost increase significantly
Solution Approach 1:
The patent creates templates that represent standardized data transformation configurations. These templates can be copied and applied to multiple IoT devices with similar data formats, eliminating the need to manually configure each device individually while maintaining accuracy through the standardized template structure
Solution Approach 2:
The system allows dynamic modification of template parameters to adapt to specific device requirements. By changing parameters within the template framework rather than recreating entire configurations, the system maintains accuracy while reducing configuration time for customized devices
2Manufacturing precision
If manual configuration of data transformations is performed for each IoT device, then transformation accuracy is improved, but system complexity increases
Solution Approach 1:
The patent implements universal templates that can handle multiple data transformation scenarios through a single standardized framework. These templates are designed to work across different device types and data formats, reducing the number of unique configurations needed while maintaining transformation accuracy through consistent template structures
Solution Approach 2:
The configuration system is segmented into reusable template components that can be independently configured and combined. This modular approach breaks down complex transformation configurations into manageable segments, reducing overall system complexity while maintaining accuracy through standardized component interfaces
3Productivity
If dynamic template generation is implemented, then configuration speed is improved, but initial system setup complexity increases
Solution Approach 1:
The patent pre-defines standardized transformation templates that capture common data format requirements. By performing the complex configuration work in advance through template creation, the system enables rapid deployment of new devices without requiring complex real-time configuration, thus improving configuration speed while managing setup complexity through reusable templates
Data Source
AI summary
Apparatus and associated methods relate to transformations of data provided by an Internet of Things (IoT) device. A processor defines a data transformation corresponding to data transmitted by the IoT device in an IoT system. The data transformation includes a definition of a transformation of data from a first format to a second format and an identification (ID) of the IoT device. The processor then compiles the data transformation to produce compiled executable code for performing the data transformation. The processor registers the compiled executable code for the data transformation as an available transformation for various components of the IoT system. The processor facilitates execution of the compiled executable code so as to perform the data transformation upon a data stream provided by the IoT device.