Virtual Mixer Training for Battery Production Troubleshooting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The rapid growth of secondary battery production plants is hindered by a shortage of skilled workers due to busy schedules and high worker turnover, making it difficult to train new workers effectively and respond to troubleshooting situations.
Innovation Solution
A mixer simulation device and method that includes a virtual mixer model apparatus, allowing users to practice operations and troubleshoot scenarios in a simulated environment, with features for training in various settings and responding to malfunctions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If workers are trained in a general method of operating a factory, then basic operational skills are improved, but the ability to respond to troubleshooting situations remains insufficient
Solution Approach 1:
The system pre-prepares multiple troubleshooting scenarios and presents them to workers before actual factory operations. Workers practice handling various abnormal situations in advance through the simulation system, which provides guided troubleshooting processes and immediate feedback, thereby improving their ability to respond to real-world problems when they occur.
2Productivity
If more skilled workers are trained to meet production demand, then productivity is improved, but training time and resources are consumed
Solution Approach 1:
The system creates a virtual copy of the factory environment and equipment, allowing workers to practice operations and troubleshooting without consuming actual production time. The simulation replicates real factory scenarios including normal operations and abnormal situations, enabling efficient skill development that directly transfers to the real factory setting.
3Ease of operation
If workers are trained through observation of experienced workers, then skill transfer is improved, but training efficiency decreases due to busy production schedules
Solution Approach 1:
The system replaces the mechanical process of observational learning with an automated simulation system that provides structured training scenarios, step-by-step guidance, and immediate feedback. This substitution allows workers to learn at their own pace without disrupting production schedules, while the system automatically manages multiple trainees simultaneously.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A simulation device and a simulation method of mixer for secondary battery production are provided. The simulation device includes a memory configured to store at least one instruction; and at least one processor configured to execute the at least one instruction stored in the memory. The at least one instruction includes instructions for: executing an apparatus operating unit including a mixer model apparatus related to secondary battery production; executing a facility operating unit including a plurality of adjustment parameters for determining operation of the mixer model apparatus and quality information related to a quality of a material produced by the mixer model apparatus; obtaining at least one of first user condition information or first user action information input through at least one of the facility operating unit or the mixer model apparatus; determining an operation of the mixer model apparatus based on at least one of the obtained first user condition information or first user action information; and executing an operation of measuring, mixing, and transferring a plurality of raw materials related to the mixer model apparatus based on the determined operation.