Monitoring Apparatus for Aggregating Distributed Operating Values
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Solution Overview
Problem
In systems with spatially distributed operating units, aggregating energy behavior data is challenging due to asynchronous measurement values, faulty sensor units, and communication issues, leading to distorted aggregation values and gaps in data transmission.
Innovation Solution
A method using a monitoring apparatus to synchronize and aggregate operating values by applying a checking function that ensures synchronicity and plausibility criteria, interpolating or extrapolating values as needed, and handling faulty data with protective measures like default values or terminating aggregation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If measurement values from spatially distributed operating units are aggregated without synchronization, then aggregation can be performed, but the aggregation values become distorted due to asynchronous measurements
Solution Approach 1:
The patent applies preliminary action by synchronizing measurement values before aggregation. The system waits for measurement values from distributed operating units to be available at a common reference time, ensuring all values are synchronized to the same time point before performing aggregation. This prevents distorted aggregation results that would occur if asynchronous measurements were directly combined.
2Quantity of substance
If faulty sensor units continue to provide data, then data coverage is maintained, but aggregation values become unreliable due to erroneous measurements
Solution Approach 1:
The patent implements feedback mechanisms to detect and respond to faulty sensor units. The system continuously monitors the quality and validity of measurement values, using feedback signals to identify erroneous data. When faults are detected in sensor units, the system can exclude affected measurements from aggregation calculations, maintaining reliability while preserving data coverage from functional sensors.
3Stability of the object's composition
If data gaps from communication issues are filled by interpolation, then continuous aggregation time series are achieved, but data accuracy may be compromised
Solution Approach 1:
The patent applies partial action by selectively filling only the necessary data gaps through interpolation rather than attempting to fill all gaps uniformly. The system determines the minimum required interpolation to achieve continuous aggregation time series, using partial filling strategies that balance data continuity with accuracy preservation. This approach avoids excessive interpolation that would compromise the integrity of the original measurement data.
Data Source
AI summary
A method for aggregating operating values of a plurality of spatially distributed operating units, wherein aggregation times are predefined and the operating values of each operating unit describe an operating variable at each of the respective aggregation times, and a respective aggregation value is generated from time-synchronized operating values of the operating units for the aggregation. Respective raw values are received for each of the operating units, which describe the operating variable at a respective detection time, and the operating values of at least one of the operating units are formed based on the raw values thereof. For each of the aggregation times, and based on a predetermined checking function, a respective operating value is sought which fulfills a synchronization criterion and a plausibility criterion. If an operating value of this type is found it is used, and if no such operating value is found, a detection gap is signaled.