Industrial Problem Solution
Improvement of defect detection algorithm in CNC process
2020-06-151. Company introduction
Aiming to improve the production efficiency of manufacturing factories through the construction of smart factories, the startup, which started operations in 2016, stores the data collected in various manufacturing processes on a big data platform, analyzes it, and detects product defects. Develop "Quality Guard", a solution for detecting abnormalities in production machinery.
2. Problem Background and Summary
There are the following problems and improvements in the defect detection algorithm that distinguishes normal products from defective products by using data generated in the computer numerical control (CNC) manufacturing process. Limited number of types that can be detected Absence of automatic defect detection algorithm that can be applied to multiple processes Need to measure wear of tools and develop model for predicting damage. The goal is to find pretreatment methods for data analysis and to define mathematical characteristics of data and set classification criteria to clearly distinguish between normal and defective products.
3. Solving Process
Define different mathematical features that can be applied to multiple processes and apply them to algorithms to improve defect coverage
Research progress of synchronization technique of time series data required for data processing
Developed an algorithm for setting meaningful process intervals in consideration of the cumulative amount of change
4. Ripple effects and future plans
Completed support for sophistication of defect detection algorithms using basic statistics
Applying the defect detection algorithm provided by the laboratory to "QualityGuard 2.0“
Scheduled patent application for research results of time-series data synchronization method
Based on mutual trust during the problem-solving process, he participated in the "Start-up Growth Technology Development Project – Start-up Tasks" of the Ministry of SMEs and Startups for 17 years. ※Administrative agency: Takion Tech, Subcontracting agency: National Institute of Repair Science
In 2018, the Land, Infrastructure and Transport Technology Commercialization Support Project was jointly supported by the National Transportation Safety Technology Commercialization Project and will jointly develop abnormal operation detection solutions with the aim of improving road traffic safety when selected.
Lee Kwang-won, head of Takion Tech's research center, said mathematicians have a quick understanding of industrial knowledge and are efficient at solving corporate challenges by presenting creative ideas through mathematical approaches.
1. Company introduction
Aiming to improve the production efficiency of manufacturing factories through the construction of smart factories, the startup, which started operations in 2016, stores the data collected in various manufacturing processes on a big data platform, analyzes it, and detects product defects. Develop "Quality Guard", a solution for detecting abnormalities in production machinery.
2. Problem Background and Summary
There are the following problems and improvements in the defect detection algorithm that distinguishes normal products from defective products by using data generated in the computer numerical control (CNC) manufacturing process. Limited number of types that can be detected Absence of automatic defect detection algorithm that can be applied to multiple processes Need to measure wear of tools and develop model for predicting damage. The goal is to find pretreatment methods for data analysis and to define mathematical characteristics of data and set classification criteria to clearly distinguish between normal and defective products.
3. Solving Process
Define different mathematical features that can be applied to multiple processes and apply them to algorithms to improve defect coverage
Research progress of synchronization technique of time series data required for data processing
Developed an algorithm for setting meaningful process intervals in consideration of the cumulative amount of change
4. Ripple effects and future plans
Completed support for sophistication of defect detection algorithms using basic statistics
Applying the defect detection algorithm provided by the laboratory to "QualityGuard 2.0“
Scheduled patent application for research results of time-series data synchronization method
Based on mutual trust during the problem-solving process, he participated in the "Start-up Growth Technology Development Project – Start-up Tasks" of the Ministry of SMEs and Startups for 17 years. ※Administrative agency: Takion Tech, Subcontracting agency: National Institute of Repair Science
In 2018, the Land, Infrastructure and Transport Technology Commercialization Support Project was jointly supported by the National Transportation Safety Technology Commercialization Project and will jointly develop abnormal operation detection solutions with the aim of improving road traffic safety when selected.
Lee Kwang-won, head of Takion Tech's research center, said mathematicians have a quick understanding of industrial knowledge and are efficient at solving corporate challenges by presenting creative ideas through mathematical approaches.