Process Valve State Monitoring With Compressed Trend Storage
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Solution Overview
Problem
Existing methods for monitoring component wear and process values require large storage space due to the accumulation of data over extended periods, limiting storage capacity in devices where the components are installed.
Innovation Solution
A method involving the detection and comparison of value characteristics, with deviations calculated and stored in storage cells, where new values overwrite old ones after filling, forming new values from multiple cells, allowing continuous storage over an unlimited time period using a small storage space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If data is continuously stored over extended periods, then the monitoring period is extended, but the storage space requirement increases
Solution Approach 1:
The patent transforms the stored data from raw individual measurements to aggregated statistical parameters (mean values, maximum values, minimum values, count values) within defined time intervals. This parameter transformation reduces the data volume significantly while preserving the essential development trends of component states and process values over extended monitoring periods.
Solution Approach 2:
The patent divides the continuous monitoring period into discrete time intervals, with each interval's data being processed and stored separately in storage cells. This segmentation allows the system to manage data in manageable chunks, overwriting old interval data when new data arrives, thus maintaining a sliding window of historical data without unbounded storage growth.
2Loss of information
If all raw data is stored, then complete information is preserved, but storage capacity is exceeded
Solution Approach 1:
The patent extracts only the essential statistical characteristics (mean, maximum, minimum, count) from the raw data while discarding redundant individual measurements. This extraction process retains the critical information needed for trend analysis and prediction while dramatically reducing the storage requirements to fit within limited device memory.
3Device complexity
If data is processed externally, then analysis capability is sufficient, but real-time detection at device is lost
Solution Approach 1:
The patent performs preliminary data processing and aggregation directly within the device's control unit, preparing the data in a compact format suitable for later external analysis. This preliminary action enables the device to maintain real-time monitoring and detection capabilities while generating condensed data representations that can be efficiently transferred and analyzed externally when needed.
Data Source
AI summary
A method of monitoring a state of a component and/or a process value including detecting and comparing at least one value characteristic of the state to be monitored with a defined value, and/or a process value, wherein, for each deviation of the detected value from the defined value, a mean value of the deviation or of the detected characteristic value is calculated and/or a maximum value and/or a minimum value and/or a count value is determined and first stored in a first storage cell within a preset first time interval. The further storage cells are successively filled in the same way for one respective preset time interval until all storage cells present are filled with a corresponding value. When all storage cells are filled, a mean value is formed from the values of respectively at least two storage cells filled immediately one after the other and is stored in a single storage cell, the previously stored value being overwritten, and the storage cells in which the previously stored value has not been overwritten being used for storing the subsequently detected values.