Measuring Point Monitoring for Mechanical Maintenance Detection
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Solution Overview
Problem
Existing methods for monitoring industrial plants primarily focus on electronic components, neglecting the need for maintenance of purely mechanical components such as pipe connections, which can lead to inefficiencies and malfunctions due to undetected changes in energy requirements.
Innovation Solution
A method that utilizes field devices attached to mechanical components in automation technology systems to detect and transmit process variables to a control center, calculates the current operating point, compares it to a reference point, and generates maintenance notifications when deviations exceed predetermined values, allowing for the detection of increased energy requirements and potential mechanical issues without additional hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If monitoring methods focus only on electronic components (field devices and control units), then the monitoring system remains simple and cost-effective, but mechanical components (such as pipe connections) are neglected leading to undetected maintenance needs and potential system failures
Solution Approach 1:
The service platform performs multiple functions: it not only monitors electronic field devices but also analyzes process variables to detect mechanical component issues. The same infrastructure (service platform, communication networks, data storage) is used for both electronic device monitoring and mechanical component condition assessment, eliminating the need for separate monitoring systems.
Solution Approach 2:
Process variables serve as intermediaries that indirectly reflect the condition of mechanical components. Instead of directly monitoring mechanical components, the system uses process variables (temperature, pressure, flow rate) that change in response to mechanical component degradation, enabling detection without direct mechanical sensors.
2Measurement precision
If additional sensors and hardware are installed to monitor mechanical components directly, then detection accuracy for mechanical issues improves, but system complexity and costs increase
Solution Approach 1:
The system replaces direct mechanical monitoring (which would require mechanical sensors and additional hardware) with analysis of process variables transmitted by existing electronic field devices. The service platform processes these variables to infer mechanical component conditions, substituting mechanical measurement approaches with computational analysis of operational data.
Solution Approach 2:
The service platform creates a virtual model or representation of the mechanical component's condition by analyzing process variables. Instead of physically measuring mechanical properties, the system generates a digital copy of the component's operational state through mathematical relationships between process variables, enabling condition assessment without physical sensors on the mechanical components.
3Loss of time
If the system continuously monitors and analyzes all process variables in real-time, then maintenance needs are detected earlier, but energy consumption and computational resources increase
Solution Approach 1:
The service platform continuously analyzes process variables in the background to establish baseline patterns and detect deviations before they indicate critical failures. By performing preliminary analysis of operational data, the system can identify early signs of mechanical component degradation and schedule maintenance proactively, preventing catastrophic failures while avoiding continuous high-intensity processing.
Solution Approach 2:
The system uses feedback from process variable analysis to adjust monitoring intensity. When process variables remain within normal ranges, the system maintains standard monitoring levels. When deviations are detected, the system intensifies analysis and alerting, optimizing energy consumption by processing resources dynamically based on actual system conditions rather than operating at maximum capacity continuously.
Data Source
Figure 1
AI summary
The invention relates to a method for monitoring a measuring point (MS) in an automation system. The measuring point (MS) is attached to at least one system component (AK, AK'), in particular a container and/or a pipeline, in which a process medium is at least temporarily located, said system component (AK, AK') being incorporated into a technical process, and the measuring point (MS) comprises at least one field device (FG, FG'), which is designed to detect and/or influence process variables of the process medium, and at least one communication means (KM), which is designed to transmit the process variables detected by the field device (FG, FG') to a control center (LS) of the system. The process is designed for a defined reference working point, and a working point defines the production of at least one product (PD) of a specified quantity and quality from at least one reactant (ED) of a specified quantity and quality using a quantity of energy. The method has the steps of: - transmitting the process variables detected by the field device (FG, FG') to a service platform (SP), in particular a local or web-based service platform; storing the process variables in the service platform (SP); comparing a current working point at which the process is being operated with the reference working point on the basis of the stored process variables (T); and generating and transmitting a maintenance notification (WN) to a user in the event that the current working point of the process exhibits a deviation (Δ) from the reference working point, said deviation (Δ) being greater than or equal to a specified value.