Filter Data Exchange Tiers for Accurate End-of-Life Prediction
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Solution Overview
Problem
Existing filtration systems lack efficient multitiered data exchange capabilities to effectively manage and process data from various sensors and control units, leading to inadequate monitoring and maintenance of filter elements, which can result in damage to engines and equipment due to particulate matter.
Innovation Solution
A filtration system with multitiered data exchange capabilities, incorporating a first data communication tier with sensors and filter elements, a second tier with a reader device, and a third tier with an engine control unit (ECU), enabling data processing and communication across these tiers to enhance monitoring and maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a filtration system uses basic sensor monitoring without multitiered data exchange, then the system structure remains simple, but the data processing capability and monitoring accuracy are insufficient
Solution Approach 1:
The data communication system is segmented into three distinct tiers: first tier (sensors and filter elements), second tier (reader device), and third tier (ECU). This segmentation allows each tier to perform specialized functions, improving data processing capability while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The patent introduces a hierarchical dimension to the data communication system by organizing components into multiple tiers with different communication protocols and processing capabilities. This dimensional organization enables sophisticated data processing without requiring all components to be equally complex.
2Reliability
If the filtration system implements comprehensive data collection and processing across multiple tiers, then monitoring accuracy improves, but the data management complexity increases
Solution Approach 1:
The reader device serves as an intermediary between the sensor tier and ECU tier, performing data collection, validation, and preliminary processing. This intermediary role simplifies the overall data management by handling routine operations locally and only communicating essential information to higher tiers.
Solution Approach 2:
Each tier performs self-service data processing appropriate to its capabilities. Sensors self-monitor filter conditions, the reader device self-manages data collection and basic analysis, and the ECU self-coordinates replacement scheduling. This distributed self-service approach improves monitoring reliability without centralizing all complexity.
3Adaptability or versatility
If the system uses simple data communication protocols, then the system remains easy to implement, but the data exchange capability between different components is limited
Solution Approach 1:
The communication system is designed with universal data exchange capabilities that work across all three tiers using standardized protocols. The reader device can communicate with both sensors and ECU using compatible formats, enabling versatile data exchange without requiring custom protocols for each interface.
Solution Approach 2:
The system adapts communication parameters (data formats, transmission protocols, processing depth) according to the specific tier and operational context. This parameter flexibility enables sophisticated data exchange capabilities while maintaining implementation simplicity through standardized adjustments rather than fundamental redesign.
4Loss of substance
If the filtration system delays filter element replacement, then operational costs decrease, but the risk of equipment damage from particulate matter increases
Solution Approach 1:
The system implements continuous feedback loops where sensors monitor filter condition, the reader device processes this data and compares it against replacement criteria, and the ECU receives recommendations for optimal replacement timing. This feedback mechanism enables delayed replacement until truly necessary, reducing costs while preventing equipment damage through timely intervention.
Solution Approach 2:
The system performs preliminary data analysis and replacement scheduling before actual filter degradation causes damage. By predicting end-of-life conditions and planning replacements in advance based on accumulated data, the system optimizes the timing to minimize operational costs while ensuring protection against harmful particulate matter.
Data Source
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AI summary
Aspects herein include filtration systems with multitiered data exchange capabilities. In an embodiment, a filtration system with multitiered data exchange capabilities is included. The system can include a first data communication tier including a filter element, the filter element storing data, and a first sensor. The system can include a second data communication tier including a reader device in communication with the first sensor. The system can include a third data communication tier including an engine control unit (ECU) in communication with the reader device, wherein the ECU stores data. The second data communication tier receives data from the first data communication tier and the third data communication tier. The second data communication tier executes operations on the received data to create a processed data set. Further, the second data communication tier sends the processed data set to the third data communication tier. Other embodiments are also included herein.