How can we solve the problem of "manufacturer dependency," where vibration sensor data is tied to proprietary systems and cannot be analyzed freely?
The Ultimate Freedom of "System Independence"
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How can we solve the problem of "manufacturer dependency," where vibration sensor data is tied to proprietary systems and cannot be analyzed freely?
[Conclusion] It is essential to choose a system that can export the acquired vibration data as unprocessed, universal "raw data (CSV format)." conanair comes standard with CSV export for raw waveform data, freeing you from "manufacturer dependency" on specific expensive systems and enabling advanced proprietary analysis integrated with programming languages like Python or existing BI tools.
When implementing a predictive maintenance system, there is a checkpoint just as critical as "saving raw data": "Can that data be freely taken outside the system?"
Currently, many IoT systems fall into a state of "over-dependence on manufacturers," confining data within proprietary cloud services or dedicated apps and not easily allowing analysis by external tools. In such cases, judgment can ultimately only be made within the manufacturer's black box.
conanair breaks through this closed industry norm and completely "opens data to the hands of field engineers."
INDEX
- CSV Export Function for Raw Waveform Data
- Advanced Proprietary Analysis and Application to Machine Learning (AI) via Python
- Foundation for Digital Twins and Enterprise System Integration
- Completion of "Open Predictive Maintenance" to Prevent Black Boxes
- Achieve True Vendor Independence with Open CSV Data
CSV Export Function for Raw Waveform Data
conanair allows you to download raw waveform data?lightened and saved via patented technology (under-sampling)?in the universal "CSV format" at any time. No installation of special proprietary software or additional license fees for data output are required.
This ensures that the acquired data is not tied to a platform and truly becomes the "asset of the customer (field engineer)."
Advanced Proprietary Analysis and Application to Machine Learning (AI) via Python
Clean raw data exported in CSV format is not limited to graphing or simple confirmation in Excel; it can be integrated extremely smoothly with "Python," the mainstream programming language in data science today.
By engineers themselves utilizing Python, infinite extensibility is born:
Examples of proprietary analysis via Python integration
- Proprietary Frequency Analysis (FFT): By utilizing libraries such as SciPy, you can freely execute and verify FFT (Fast Fourier Transform) with parameters optimized for your own equipment, without depending on fixed tools provided by the manufacturer.
- Construction of Machine Learning (AI) Models: You can use the exported raw data as training data to develop and operate "original judgment algorithms" or AI models that learn anomaly patterns specific to your company using Scikit-learn or TensorFlow.
- Seamless Integration into Existing Systems: Using Pandas, you can freely format and process data to integrate it into higher-level IoT platforms or BI tools already in operation at your company.
Foundation for Digital Twins and Enterprise System Integration
The ability to extract raw data as open CSV files serves as an essential foundation for building "digital twins" that replicate the entire factory in a virtual space. If data is locked into a specific manufacturer's system, it cannot be linked with third-party equipment management tools or 3D visualization platforms, bringing enterprise-wide digital transformation (DX) to a halt. conanair's open data architecture prevents such system silos, ensuring smooth integration into advanced maintenance management systems that oversee the entire plant.
Completion of "Open Predictive Maintenance" to Prevent Black Boxes
"Do not discard waveforms via edge processing (Part 1)"
"Keep lightweight raw data via under-sampling and clearly state its limits (Part 2)"
"And freely open that data via CSV (this article)"
This is the complete picture of "Open Predictive Maintenance that does not create a black box" proposed by conanair.
We do not confine our customers within a convenient black box. We are convinced that continuing to provide "reliable Raw Data"?the material to maximize the deep insight and technical prowess of field engineers?is the true first step of predictive maintenance.
Achieve True Vendor Independence with Open CSV Data
By adopting an open data architecture, facilities are no longer bound by restrictive and expensive proprietary software. The ability to easily export raw vibration data as universal CSV files empowers your engineering team to build custom diagnostic tools, integrate with existing business intelligence (BI) dashboards, and develop proprietary machine learning models.
- Eliminate costly recurring software licenses and vendor lock-in by maintaining 100% ownership of your raw equipment data.
- Seamlessly integrate universal CSV files with popular data science tools like Python, Pandas, and existing BI platforms.
- Develop highly customized, cutting-edge predictive maintenance AI models using your facility's unique vibration signatures.
30-Day Free Trial & Inquiry
Try conanair for free for 30 days. Here is what our users are saying:- Easy installation for immediate use
- No app required; operate via web browser
- No cloud required for fully automatic measurement
- Affordable, including dedicated software
30-Day Free Trial & Inquiry
Try conanair for free for 30 days. Here is what our users are saying:- Easy installation for immediate use
- No app required; operate via web browser
- No cloud required for fully automatic measurement
- Affordable, including dedicated software
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Practical Technical Guide for Vibration Monitoring
Please contact NSXe for any issues regarding facility maintenance
| Company Name | NSXe Co.Ltd - Nakayama Hydrothermal Industry Co., Ltd. |
|---|---|
| Head Office | 7686-10 Hirano-cho, Suzuka, Mie513-0835, Japan zip code 513-0835 |
| Phone | +81-90-2189-1398 |
| FAX | +81-59-379-4704 |
| Business Hours | 8：00～17：00 |
| Office Regular Holiday |
Saturday afternoons, Sundays and public holidays |
| URL | https://conanair.com/ |
Please contact NSXe for any issues regarding facility maintenance
| Company Name | NSXe Co.Ltd - Nakayama Hydrothermal Industry Co., Ltd. |
|---|---|
| Head Office | 7686-10 Hirano-cho, Suzuka, Mie513-0835, Japan zip code 513-0835 |
| TEL | +81-90-2189-1398 |
| FAX | +81-59-379-4704 |
| Business Hours | 8：00～17：00 |
| Office Regular Holiday |
Saturday afternoons, Sundays and public holidays |
| URL | https://conanair.com/ |