Updatable M-Bus Parser for Dynamic Data Translation
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Solution Overview
Problem
Existing methods for interpreting M-Bus raw data from consumption meters require frequent adjustments and updates to parsing devices, leading to increased time and costs when data formats change, as the semantic meaning of measurement data can shift, necessitating adaptations in reading devices.
Innovation Solution
A method and device that utilize an updatable M-Bus parser with a parsing algorithm capable of translating M-Bus raw data into user-friendly formats, allowing for dynamic interpretation and adaptation without altering the data acquisition unit, using an Internet connection to transmit and process data, enabling flexible data representation and unit changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static interpretation methods are used for M-Bus raw data, then data can be interpreted initially, but when data semantics change, additional adaptation time and costs are required
Solution Approach 1:
The patent implements dynamic adaptability by making the parsing algorithm updatable without requiring hardware changes. The reading device can dynamically load new parsing algorithms to handle changed data formats, transforming a static system into a dynamic one that adapts to evolving data semantics.
Solution Approach 2:
The patent applies parameter changes by allowing the parsing algorithm to be modified and updated. When data semantics change, new parsing parameters and algorithms can be loaded into the reading device, enabling it to interpret new data formats without physical reconfiguration.
2Ease of operation
If static reading devices are used, then device complexity is reduced, but any data format change requires returning to manufacturer for adaptation
Solution Approach 1:
The patent segments the reading device into distinct functional components: data acquisition unit, parsing algorithm, and data processing unit. This segmentation allows the parsing algorithm to be independently updated without affecting the hardware structure, maintaining ease of operation while enabling adaptability.
Solution Approach 2:
The patent introduces an intermediary parsing algorithm layer between the data acquisition unit and the processing unit. This intermediary can be updated independently to handle format changes, acting as a flexible mediator that maintains system simplicity while enabling adaptation.
3Adaptability or versatility
If parsing algorithms are made updatable, then adaptability to data changes improves, but device complexity increases
Solution Approach 1:
The patent implements universality by designing the reading device with a universal architecture that can accommodate multiple parsing algorithms. The device structure remains constant while the parsing algorithms can be exchanged to handle different data formats, providing multi-functionality without increasing structural complexity.
Data Source
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AI summary
The invention relates to a method for determining time-varying and/or static data (D), wherein: - raw data (RD) acquired by means of at least one data acquisition unit (5) are transmitted in an M-Bus format to an external data processing unit (4), - the transmitted M-Bus raw data (RD) are transmitted via an internet connection to a central data processing unit (1), - in the central data processing unit (1), the M-Bus raw data (RD) are translated by means of at least one M-Bus parser (2), and - the translated data (D') are transmitted via an internet connection to the external data processing unit (4) for determining data (D), wherein the parsing algorithm underlying the M-Bus parser (2) is configured to be updatable. The invention further relates to a device (V) for carrying out the method.