Event-Based Control for Bulk Material Flow Transport
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Solution Overview
Problem
Existing devices for controlling material flows, such as in bulk material transport, require high computing and energy efforts due to regular timed interrogations of sensors, leading to inefficiencies and potential overloading, which can result in device malfunction and increased maintenance needs.
Innovation Solution
An event-based control device system that processes signals from sensors on feeder and transport devices to determine state-dependent parameters, calculate future states, and adjust operations, reducing unnecessary data transmission and sensor load, while allowing for precise control of material flow and extended maintenance intervals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous monitoring of sensor values at regular intervals is implemented, then the control of material flow becomes precise and reliable, but the computing outlay and energy consumption increase significantly
Solution Approach 1:
The patent transitions from continuous periodic monitoring to event-based monitoring. Sensors trigger signals only when specific events occur (material flow starts, stops, or changes state), eliminating continuous interrogation at regular intervals. This reduces energy consumption while maintaining control reliability by focusing monitoring resources on critical moments in the material flow process.
Solution Approach 2:
The sensor system is designed to autonomously generate event-based signals when predefined conditions are met, without requiring continuous external interrogation. The sensors self-trigger notifications based on detected changes in material flow state, reducing the computational burden on the control device while ensuring reliable detection of all relevant flow events.
2Reliability
If continuous monitoring of sensor values at regular intervals is implemented, then the control of material flow becomes precise and reliable, but the computing outlay increases significantly
Solution Approach 1:
The system replaces continuous periodic sampling with event-driven periodic action. The control device processes data only when events occur (material flow initiation, cessation, or state changes), dramatically reducing the volume of data to be processed while maintaining complete awareness of all significant flow conditions through the event-based signal generation mechanism.
Solution Approach 2:
The patent extracts only the essential information needed for control decisions by having sensors generate signals solely for critical events. This filtering approach removes unnecessary data processing overhead while preserving all information required for reliable material flow control, as the event-based signals capture all relevant flow state changes.
3Measurement precision
If high frequency sensor interrogation is used, then real-time control accuracy is improved, but the maintenance needs and device wear increase
Solution Approach 1:
The system uses event-based triggering instead of continuous periodic interrogation. Sensors generate signals only when material flow events occur, reducing the operational cycles of both sensors and control device. This decreases wear and extends device lifespan while maintaining measurement precision for all critical flow events through the event-driven detection mechanism.
Data Source
AI summary
A device for controlling material flows may include at least one feeding device for feeding material of at least one type of material, at least one output device for outputting material of at least one type of material, a transport device for transporting the material, at least one sensor for determining at least one state-dependent parameter of the device, and a control device for controlling the devices, the control device being designed to process event-based signals, e.g., signals from the at least one sensor.