NEMC 2021: Improvement of lab productivity and operational efficiency using IoT/M2M

Importance of the topic

Integrating IoT and M2M technologies into analytical laboratories addresses critical challenges in maintaining productivity, reliability and safety, especially under constraints like global pandemics. Remote monitoring and automated data exchange minimize downtime, ensure continuous operation of instruments and optimize resource usage.

Objectives and Study Overview

This study presents how Shimadzu’s IoT/M2M solutions improve laboratory workflows by enabling remote instrument control, real-time condition monitoring and proactive maintenance. It highlights the implementation of Smart Service Net, Smart Flow Control and virtualization to sustain analytical throughput under limited onsite access.

Methodology

The approach leverages next-generation hardware and software features to collect system status, consumable conditions and error logs automatically. Data are transmitted via an M2M router to a central data center where notifications are generated for troubleshooting or preventive actions. Web and VPN access support remote operation and data processing on virtualized servers.

Used Instrumentation

• Shimadzu Smart Service Net with M2M Router for automated status uploads
• LabSolutions™ Direct with Web/VPN access for remote control
• Smart Flow Control (FlowPilot) for column protection and stable flow
• Virtualization platforms for centralized data processing and analysis

Main Results and Discussion

Key functions demonstrated include advanced instrument startup to protect columns, mobile phase monitoring to prevent shortages, automatic error detection and recovery (for example, correcting flow drops due to air bubbles), full remote control of analytical methods and data processing via virtual servers. These capabilities collectively reduce instrument downtime and accelerate decision-making.

Benefits and Practical Applications

• Continuous remote monitoring and timely maintenance reduce unscheduled interruptions
• Automated alerts help manage consumables and maintenance schedules
• Enhanced operational efficiency supports high-throughput labs in regulated environments
• Enables safe lab operation under restricted onsite access, as seen during COVID-19

Future Trends and Potential Applications

Advancements are expected in integrating AI-driven analytics for predictive maintenance, expanded cloud-based lab management platforms and standardized IoT protocols for cross-instrument interoperability. Further development will focus on fully autonomous workflows and enhanced cybersecurity for remote operations.

Conclusion

IoT/M2M technologies are pivotal in modernizing analytical laboratories by enabling remote instrumentation management, reducing downtime and ensuring sustainable, high-productivity workflows under diverse operational constraints.