Crosspoint Sensor Switching for Real-Time Industrial IoT Monitoring
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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 optimization and diagnosis, with existing methods being time-consuming and inefficient.
Innovation Solution
The implementation of a system for continuous ultrasonic monitoring, cloud-based machine pattern recognition, on-device sensor fusion, self-organizing data marketplaces, and distributed ledgers to enhance data collection, processing, and utilization in industrial IoT environments, enabling real-time monitoring and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
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 process is time-consuming and takes weeks or months to complete analysis
Solution Approach 1:
The patent replaces manual data collection and analysis processes with automated electronic systems. Sensors continuously collect data from industrial equipment and transmit it through a network to a server that automatically processes and analyzes the information, eliminating the need for human operators to manually record and analyze data batches.
Solution Approach 2:
The system implements continuous data collection and analysis rather than batch processing. Sensors continuously monitor equipment parameters and the server continuously processes incoming data streams, enabling real-time detection and response to equipment issues without the delays inherent in periodic manual collection.
2Device complexity
If the range of available data is limited in complex industrial environments, then data collection is simplified, but the effectiveness of smart solutions for optimization and diagnosis is reduced
Solution Approach 1:
The patent employs a universal data collection platform that can interface with multiple types of sensors and equipment through standardized protocols. The system is designed to handle diverse data sources including vibration sensors, temperature sensors, pressure sensors, and other industrial equipment, consolidating them into a single analytical framework.
Solution Approach 2:
The system segments data collection into modular sensor units that can be independently deployed and configured. Each sensor module collects specific parameters from equipment, and the modular architecture allows the system to scale by adding or removing individual sensor modules without redesigning the entire system.
3Loss of information
If multiple sensors are deployed to collect comprehensive data, then data availability increases, but the complexity of dealing with data from multiple sensors increases
Solution Approach 1:
The patent merges data from multiple sensors into a unified data stream processed by a centralized server. The system consolidates vibration data, temperature data, pressure data, and other sensor inputs into a single analytical platform that correlates and analyzes all parameters together, reducing the complexity of handling multiple separate data streams.
Solution Approach 2:
The server acts as an intermediary between the multiple sensors and the analysis functions. It receives raw data from various sensor types, standardizes the data formats, performs initial processing and filtering, and prepares the data for higher-level analysis, thereby simplifying the interface between diverse sensors and analytical algorithms.
Data Source
AI summary
The system generally includes a crosspoint switch in a local data collection system having multiple inputs and multiple outputs including a first input connected to a first sensor and a second input connected to a second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of a first sensor signal and a second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal and the second sensor signal. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history.