Data Intelligence Software for CBM

In Condition-Based Maintenance (CBM), data intelligence software plays a fundamental role in transforming sensor-collected information into practical insights and efficient decisions. These systems automate processes, monitor conditions in real time, and help predict failures—making them essential for the supermarket sector.

Importance of Software in CBM Automation

Data intelligence software is crucial for the effective implementation of CBM:

1. Monitoring Automation:
   • The software continuously analyzes data captured by sensors, identifying anomalies or trends that indicate potential failures. In a medium-sized supermarket, NEO captures around 3 million data points per month, just to give you an idea. 
   • Automation eliminates the need for frequent manual inspections, reducing operational costs.
2. Data Centralization:
   • Data from different systems—such as refrigeration, air conditioning, and energy—are integrated into a single platform. NEO360 already centralizes six types of assets; in addition to those mentioned, it also includes generators, water systems, and fire safety systems.
   • This facilitates comparative analysis and the identification of improvement opportunities.
3. Decision Support:
   • Through intuitive dashboards and management reports such as NEO360 Insights, managers gain access to critical KPIs such as energy consumption and equipment performance.
   • Automatically generated reports support strategic decision-making.

Essential Features for the Supermarket Sector

To meet the specific demands of supermarkets, data intelligence software should include:

1. Real-Time Monitoring:
   • Analysis of variables such as temperature, pressure, vibration, and energy consumption.
   • Automatic alerts in case of deviations.
2. Integration with IoT and Existing Automations:
   • Compatibility with IoT sensors to ensure accurate and up-to-date data collection.
3. Failure Prediction:
   • Machine Learning-based algorithms that use historical data to predict imminent failures. At NEO, we have developed NEO Coolsense, which detects failures using this technique.
4. Customized Reports:
   • Generation of reports tailored to the operational and regulatory needs of the supermarket sector.
5. Energy Efficiency Analysis:
   • Identifies saving opportunities and compares equipment performance against industry benchmarks.
6. Multi-Unit Management:
   • Ability to monitor and compare data across multiple stores or operational units.

Examples of Data Intelligence Monitoring Solutions

1. Cloud-Based Platforms:
   • Provide remote accessibility and centralized storage for sensor data.
2. Custom Solutions:
   • Software tailored to the specific needs of the customer, such as monitoring high-criticality refrigeration equipment.
3. API Integration:
   • Systems that connect maintenance data to maintenance management platforms, facilitating resource planning.
4. Applied Artificial Intelligence:
   • Tools that use machine learning to continuously improve prediction accuracy and optimize operations.

Conclusion

Data intelligence software for CBM represents an essential evolution for supermarkets aiming to optimize their refrigeration and HVAC systems. With features focused on automation, monitoring, and energy efficiency, these systems enable more proactive and effective asset management.

Ready to take your maintenance to the next level? Discover how NEO Estech can transform the way you monitor and manage your assets!