Crosspoint Sensor Switching for Real-Time IIoT Data Collection
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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 data collection and processing that includes continuous ultrasonic monitoring, machine pattern recognition, self-organizing data marketplaces, on-device sensor fusion, and AI training based on industry-specific feedback, utilizing a platform with a crosspoint switch for simultaneous data delivery from multiple sensors and distributed CPLD chips for efficient data acquisition and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is collected by human beings using dedicated data collectors recording batches of specific sensor data on media for later analysis, then data collection is performed with simple equipment, but the analysis time scale is weeks or months and productivity is low
Solution Approach 1:
The patent replaces manual data collection and analysis methods with automated electronic systems. Sensors continuously collect data and transmit it via communication networks to remote servers where automated processing occurs, eliminating the mechanical process of manual data recording and analysis that previously took weeks or months.
Solution Approach 2:
The patent introduces communication networks and remote servers as intermediaries between sensors and analysts. Data flows from sensors through communication networks to remote servers for processing, enabling rapid automated analysis while allowing human analysts to focus on higher-level interpretation rather than manual data collection.
2Adaptability or versatility
If the range of available data is limited in complex industrial environments, then device complexity is reduced, but the effectiveness of smart solutions for optimization and diagnosis is limited
Solution Approach 1:
The patent creates a universal data collection framework that can handle multiple sensor types and industrial applications through a common infrastructure. The system uses standardized communication protocols and data formats that work across diverse sensors and industrial environments, making the solution broadly adaptable without requiring complex custom implementations for each application.
Solution Approach 2:
The patent divides the complex data collection and processing system into separate modular components: sensors at the edge, communication networks for data transmission, and remote servers for processing. This segmentation allows each component to be optimized independently while working together to solve complex industrial problems.
3Speed
If continuous connection to multiple devices is implemented, then real-time data collection is achieved, but device complexity and difficulty of dealing with multiple sensors increases
Solution Approach 1:
The patent uses communication networks as intermediaries to manage connections between multiple sensors and processing systems. Rather than requiring direct complex point-to-point connections between sensors and processors, data flows through standardized network interfaces that simplify the connection management and enable real-time data collection from multiple devices.
Data Source
AI summary
The system generally includes a crosspoint switch in the local data collection system having multiple inputs and multiple outputs including a first input connected to the first sensor and a second input connected to the 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 the first sensor signal and the second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal from the first output and the second sensor signal from the second output. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. Unassigned outputs are configured to be switched off producing a high-impedance state. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history of a data acquisition unit in which the onboard card set is located. The local data collection system is configured to manage data collection bands.