Self-Organizing Sensor Data Collection for Real-Time Frequency Analysis
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Solution Overview
Problem
Heavy industrial environments face challenges in data collection and utilization due to the complexity of dealing with data from multiple sensors, limiting the effectiveness of 'smart' solutions for industrial sectors, and requiring improved methods for monitoring, control, and optimization of operations.
Innovation Solution
The implementation of methods and systems for continuous ultrasonic monitoring, cloud-based machine pattern recognition, on-device sensor fusion, self-organizing data marketplaces, and distributed ledgers to optimize data collection, processing, and storage in industrial IoT environments, enabling intelligent diagnosis and optimization of operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is collected by human beings using dedicated data collectors and recorded on media for later analysis, then data collection is performed, but the analysis time scale is weeks or months and is limited to specific sensor data batches
Solution Approach 1:
The patent replaces manual data collection and batch processing with automated electronic data acquisition systems that continuously collect sensor data and transmit it in real-time to cloud-based processing facilities, eliminating the mechanical process of manual recording and enabling immediate analysis
Solution Approach 2:
The system performs preliminary data processing, filtering, and transmission actions at the data collection stage itself, preparing data for analysis before it reaches the central processing facility, thereby reducing the time required for subsequent analysis operations
2Adaptability or versatility
If the range of available data is limited in complex industrial environments, then data collection is simplified, but the effectiveness of smart solutions is reduced
Solution Approach 1:
The patent implements a universal data collection platform that can interface with multiple types of sensors and industrial equipment simultaneously, collecting diverse data types (vibration, temperature, pressure, acoustic emissions) through a single integrated system that adapts to different industrial environments
Solution Approach 2:
The system segments data collection into multiple independent sensor channels and data streams that can be individually configured and processed, allowing comprehensive data gathering from various sources while maintaining organized, manageable data structures for effective analysis
3Reliability
If the complexity of dealing with data from multiple sensors increases, then more comprehensive monitoring is achieved, but it becomes much more difficult to produce smart solutions
Solution Approach 1:
The patent introduces cloud-based data processing facilities and intermediate software layers that act as mediators between multiple sensor inputs and analysis algorithms, automatically managing data integration, synchronization, and preprocessing to reduce the complexity burden on end-user smart solutions
Solution Approach 2:
The system creates standardized data copies and representations from multiple sensor sources in unified formats, allowing complex multi-sensor data to be replicated and processed through various analytical models without requiring complex custom integration logic for each analysis scenario
Data Source
AI summary
A system and method for data collection and frequency analysis with self-organization functionality includes analyzing with a processor a plurality of sensor inputs, sampling with the processor data received from at least one of the plurality of sensor inputs at a first frequency, and self-organizing with the processor a selection operation of the plurality of sensor inputs.