Multivariate Data Visualization and Analysis Tool BIGDAT@Analysis
https://www.cybernet.co.jp/iot/products/bda/
Visualization and analysis of big data with simple operations, without the need for specialized knowledge such as statistical analysis or multivariate analysis.
■ Benefits of Implementation 1) Data analysis by on-site experts By having experts conduct the analysis themselves, new discoveries can be made without overlooking unexpected correlations in the attributes. 2) Accelerating multivariate data analysis through visualization By visualizing the data, it becomes possible to grasp the nature of big data from a broader perspective, identify the need for preprocessing, understand the difficulty of analysis, and easily conduct multivariate data analysis along with the necessary statistical analysis processes. 3) Utilizing multivariate analysis for defect factor analysis, discovery of optimal values, and anomaly detection Multivariate analysis can be used to identify defect factors and improve yield rates, enhance performance through the discovery of favorable condition parameters, and even if complete analysis is not possible, anomaly detection can be performed by comparing with past states.
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basic information
This is a tool for visualizing and analyzing large amounts of data containing numerous parameters with very simple operations. It represents the strength of correlation between each sample as a two-dimensional map while retaining all physical quantities contained in the original data, enabling "explainable" data analysis that does not become a black box and can be easily achieved. ■Features 1) Easily visualize large amounts of data on a web browser without specialized knowledge. 2) Extract parameters that have a high contribution to specific phenomena. 3) Expand into a system for real-time monitoring and predictive maintenance in collaboration with equipment. ■For more details Please refer to the following: https://www.cybernet.co.jp/iot/products/bda/
Applications/Examples of results
- Achieved defect detection through real-time monitoring by analyzing manufacturing data of electrical equipment. - Analyzed the causes of 'abnormal noise' defects occurring in motor products. - Contributed to OEE improvement by detecting signs of trouble through analysis of operational data from production equipment in fiber manufacturing. - Contributed to the transmission of artisan skills by automating and digitizing color judgment analysis of painted parts. - Improved efficiency in analyzing test data and distinguishing characteristic events in the new development of vehicles. - Efficiently extracted key environmental factors contributing to vehicle corrosion from a large number of variables to streamline experiments. - Investigated the causes of defects in difficult-to-identify cast parts in a short period using the latest big data analysis techniques.
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Company information
Cybernet Systems Corporation has been providing software, educational services, technical support, and consulting to the research and development and design departments of the manufacturing industry, as well as to universities and government research institutions, for over 30 years as a leading company in CAE. In the IT field, we offer IT security solutions such as endpoint security and cloud security to protect information assets from cyber attacks. In recent years, we have proposed solutions that combine our expertise in CAE and AR/VR technology with IoT, digital twins, big data analysis, and AI. Our corporate vision is "Sustainability and Surprise for Society through Technology and Ideas." We are committed to addressing the increasingly diverse and complex technological challenges faced by our customers with technology and ideas that exceed expectations, and guiding them towards further transformation.