Closed-Loop Transport Optimization for Carrier Count and Belt Speed
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Solution Overview
Problem
Current methods for optimizing closed-loop transportation systems, such as ovalmovers, rely on manual trial and error, which is time-consuming and costly, and do not adequately predict throughput and performance before physical implementation.
Innovation Solution
A computer-implemented device uses algorithmic procedures to optimize the number of carriers and operation speed of the belt system based on status signals, providing optimized settings without physical implementation, thus reducing time and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual trial and error method is used to optimize closed-loop transportation system, then implementation is simple, but time consumption and costs increase significantly
Solution Approach 1:
The patent creates a virtual copy or digital model of the closed-loop transportation system that can be simulated and optimized computationally. This virtual model allows testing different configurations (number of carriers, belt speeds) without physical implementation, thereby reducing time and costs while maintaining optimization effectiveness
Solution Approach 2:
The patent replaces the manual mechanical trial-and-error optimization process with an automated computer-based simulation system. The computing device automatically tests various system configurations and determines optimal settings, substituting human manual adjustment with algorithmic optimization
2Productivity
If larger number of carriers is provided in ovalmover, then throughput and performance increase, but implementation costs and congestion effects increase
Solution Approach 1:
The patent systematically varies key parameters including the number of carriers, belt speeds, and operational configurations to identify the optimal combination that maximizes throughput while minimizing costs and congestion. The simulation allows testing different parameter sets to find the sweet spot
3Productivity
If higher operation speed of belt is used, then carrier return speed increases and throughput improves, but energy costs and maintenance costs increase
Solution Approach 1:
The patent evaluates different belt operation speeds as a variable parameter to determine the optimal speed that achieves required throughput while minimizing energy consumption and maintenance requirements. The simulation identifies the cost-effective speed range
4Ease of operation
If manual trial and error approach is used for characterization, then system is easy to understand, but cost-effectiveness and speed of optimization decrease
Solution Approach 1:
The patent uses a virtual simulation model that replicates the physical system's behavior, allowing rapid testing and characterization without physical prototypes. This digital copy enables fast iteration while maintaining conceptual clarity
Solution Approach 2:
The patent replaces manual characterization processes with automated computer simulations that rapidly evaluate system performance. The computational approach speeds up optimization while the results remain interpretable
Data Source
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AI summary
The invention relates to a computer-implemented device for optimizing a closed-loop transportation system (100), the closed-loop transportation system (100) comprising a linear transport system (110), including a first end (A) and a second end (B) as well as a belt system (130) arranged to form a closed-loop between the first end (A) and the second end (B) of the linear transport system(110), wherein the computer-implemented device comprises a receiving unit for receiving a number N, with N ≥ 1, of status signals indicative of an operation state of the closed-loop transportation system (100), a calculating unit using at least one algorithmic procedure, said at least one algorithmic procedure being configured to provide at least one output signal for optimizing the closed-loop transportation system (100) using the number N of status signals as input and a controlling unit for controlling the closed-loop transportation system (100) using the provided at least one output signal.