Container Handling Control Using Sensor Drones to Prevent Jams
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Solution Overview
Problem
Existing container-handling facilities in the beverage industry face challenges in accurately regulating operating parameters to prevent damage to containers due to indirect forces that are difficult to detect, leading to container jams and damage, especially during mass transport.
Innovation Solution
A container-handling facility equipped with drones that measure acceleration and pressure, transmitting data to a control unit for real-time regulation of operating parameters, including transport device drives and boundary rail adjustments, using a neural network for optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If containers are transported in a mass flow with high number of containers, then productivity is improved, but container damage occurs due to crushing and jamming
Solution Approach 1:
The patent implements a feedback mechanism where sensors detect container position and transport device status in real-time, and the control unit adjusts operating parameters based on this feedback to prevent container damage while maintaining high throughput
Solution Approach 2:
The patent dynamically adjusts operating parameters such as transport speed and acceleration based on real-time sensor data, allowing the system to optimize between high productivity and container protection by varying parameters according to actual transport conditions
2Device complexity
If operating parameters are regulated using commonly used sensors, then device complexity is kept low, but measurement precision is insufficient to detect forces acting on containers
Solution Approach 1:
The patent uses the transport device itself as an intermediary measurement platform, where sensors mounted on the transport device measure acceleration and position directly, providing precise force detection without requiring complex external sensor systems
3Reliability
If inspection units are placed at the end of container handling, then container damage can be detected, but loss of time occurs due to lengthy error analyses and delayed detection
Solution Approach 1:
The patent performs preliminary detection of container damage during the transport process itself using sensors on the transport device, rather than waiting until the end of handling, enabling immediate detection and reducing time loss for error analysis
4Stability of the object's composition
If gripping elements apply excessive clamping force, then container stability is improved, but container damage occurs due to crushing and deformation
Solution Approach 1:
The patent dynamically changes the clamping force parameter based on container type, transport phase, and real-time sensor data, adjusting the gripping force to provide sufficient stability without exceeding damage thresholds
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enables precise and efficient regulation of operating parameters, reducing container damage and improving throughput by adapting to real-time conditions, thus enhancing the reliability and efficiency of container handling.
Implementation Method 1
the drone comprises an acceleration sensor for measuring an acceleration acting on the drone
Implementation Method 2
a pressure sensor for measuring a pressure acting on the drone in the transport device
Data Source
AI summary
Container-handling facility for handling containers such as cans or bottles or the like in the beverage-processing industry, the container-handling facility compris at least one transport device for transporting the containers and a drone can be brought into the transport device, wherein the drone comprises an acceleration sensor for measuring an acceleration acting on the drone and a pressure sensor for measuring a pressure acting on the drone in the transport device, wherein the drone can transmit data corresponding to a measured acceleration and a measured pressure to a control unit, and wherein the control unit is ed to regulate at least one operating parameter influenc the acceleration of the drone and/or the pressure acting on the drone, ding o a comparison between the data received the drone and nominal values for the operating parameter and/or the acceleration and/or the pressure, stored in a memory.


