Model-Based Container Line Control for Pulsation-Free Flow
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Solution Overview
Problem
Current beverage filling lines lack a continuous, overarching control system for performance metrics such as energy consumption and line efficiency, leading to suboptimal operation and increased energy use due to pulsating container flows and machine stop-start processes.
Innovation Solution
A method and system for controlling a container treatment line using a central control unit that integrates machine and transport unit data, sensor data, and camera data to calculate and send control instructions for optimizing machine and transport unit operations, employing a model-based control system for dynamic adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a continuous model-based control system is implemented, then line efficiency and energy consumption are improved, but device complexity increases
Solution Approach 1:
The patent merges multiple control functions (machine control, transport unit control, container flow monitoring) into a single centralized control system that uses a unified model-based approach. This integration allows the system to optimize overall line efficiency while managing complexity through consolidation rather than multiple separate control systems.
Solution Approach 2:
The control system continuously receives feedback from sensors monitoring container flow, machine status, and transport unit performance. This real-time feedback enables dynamic adjustment of control parameters to maintain optimal line efficiency and prevent pulsating container flow, resolving the contradiction by using intelligent control rather than simple automation.
2Device complexity
If discrete operating states are used for control, then device complexity is reduced, but productivity and energy efficiency deteriorate due to pulsating container flow and stop-start processes
Solution Approach 1:
The patent transitions from static discrete operating states to a dynamic continuous control model that can adapt to real-time conditions. The model-based control system continuously adjusts machine and transport unit parameters based on current container flow conditions, eliminating the pulsating flow and stop-start processes that reduce productivity while maintaining manageable complexity through systematic modeling.
Solution Approach 2:
The control system continuously varies operational parameters (speed, flow rate, timing) based on the model-based control approach rather than switching between fixed discrete states. This continuous parameter adjustment optimizes line efficiency and prevents energy-wasting stop-start cycles while the structured model keeps the system complexity manageable.
3Ease of operation
If machine stop-start processes occur due to pulsating container flow, then ease of operation is maintained with simple control, but energy consumption increases and productivity decreases
Solution Approach 1:
The model-based control system ensures continuous operation of machines and transport units by predicting and preventing container flow disruptions before they occur. This continuity eliminates stop-start processes that waste energy, while the automated nature of the control maintains ease of operation without requiring complex manual intervention.
Solution Approach 2:
The control system takes preliminary action by continuously monitoring container flow and predicting potential disruptions before they cause machine stoppages. This proactive approach prevents energy-wasting stop-start cycles while the automated prediction and prevention mechanisms maintain operational simplicity.
Data Source
AI summary
A method is provided for controlling a container treatment line comprising at least one machine for container treatment, at least one transport unit for transporting the containers and a central control unit. The method comprises: receiving, in the central control unit, first control data from the at least one machine and second control data from the at least one transport unit; calculating, by a model-based control system based on the first and second control data, a first control instruction for the at least one machine and/or a second control instruction for the at least one transport unit; sending the first control instruction to the at least one machine and/or sending the second control instruction to the at least one transport unit; controlling the at least one machine according to the first control instruction and/or controlling the at least one transport unit according to the second control instruction.