Compactor Control Monitoring Using Interface Signal Modeling
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Solution Overview
Problem
Existing recyclable material compaction devices lack effective monitoring and control systems, relying heavily on manual checks by operating personnel, which can lead to inefficiencies and potential operational issues.
Innovation Solution
A method involving an analysis algorithm that learns the operating behavior of the recyclable material compaction device by recording signals at interfaces between the control device and actuators/sensors in various states, and subjecting these interfaces to excitation signals to generate a model of the device's behavior, which is then used for control and monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual checks by operating personnel are used to monitor the compaction device, then the device can be operated with simple control systems, but monitoring effectiveness and operational efficiency deteriorate
Solution Approach 1:
The control device performs self-monitoring and self-diagnosis by automatically recording signals at its own interfaces and analyzing its operating behavior. The control device generates a model of its own operating states without requiring external manual inspection, enabling autonomous health assessment and predictive maintenance capabilities
Solution Approach 2:
Manual mechanical inspection by operating personnel is replaced with automated electronic signal recording and analysis. The control device uses software-based analysis algorithms to process electrical signals from interfaces, substituting human sensory and manual evaluation with automated electronic monitoring systems
2Productivity
If automated monitoring systems are implemented to improve operational efficiency, then productivity increases, but device complexity and initial investment increase
Solution Approach 1:
The control device performs multiple functions simultaneously: it controls the actuators, records interface signals, analyzes operating behavior, generates predictive models, and monitors device health. By making the control device multi-functional, separate dedicated monitoring hardware is eliminated, reducing overall system complexity while maintaining high productivity
Solution Approach 2:
The monitoring, control, and analysis functions are merged into a single integrated control device. The control device combines signal recording, data analysis, and device control capabilities in one unit, eliminating the need for separate monitoring systems and reducing system complexity
3Measurement precision
If detailed signal recording at all interfaces is performed to improve model accuracy, then operating behavior understanding improves, but data processing complexity and computational requirements increase
Solution Approach 1:
The patent extracts only the relevant signals from the interface connections that directly reflect operating states. By selectively recording signals at control device interfaces rather than all possible system parameters, the solution achieves sufficient model accuracy while minimizing data processing complexity and computational requirements
Data Source
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AI summary
A method is proposed for controlling and/or monitoring a recyclable material compacting device which is designed and intended to compact recyclable materials. The recyclable material compacting device comprises: a compacting element operated via a hydraulic or pneumatic system, in particular a compacting ram; one or more actuators for actuating the compacting element; one or more sensors for detecting an operating parameter of the recyclable material compacting device; and an integrated control device connected via interfaces to the one or more actuators and the one or more sensors. The operating behavior of the recyclable material compacting device is learned via an analysis algorithm, wherein the analysis algorithm comprises at least a first analysis step and a second analysis step.