Using PI Manual Logger Without Handheld Devices: A Practical Guide

Many industrial environments still rely on legacy or non-smart energy meters that cannot transmit data directly to digital systems or handheld devices. A common question arises: Can PI Manual Logger (PI ML) still add value in these situations?

The answer is a resounding yes. PI Manual Logger, a product by OSIsoft (now part of AVEVA), provides flexible tools for manual data collection. Although it is well-known for supporting handheld device workflows—where operators collect data on the plant floor using mobile devices—PI ML also includes a robust desktop version.

How PI Manual Logger Desktop Works

Instead of installing PI ML on a handheld device, you can install the PI Manual Logger desktop application on a standard PC within your plant or control room. Here’s how you can set it up and use it effectively:

1. Local Data Entry: Assign plant personnel to read values from non-smart meters and enter the readings directly into PI ML on the PC.
2. Flexible Scheduling: Create rounds and schedules just like with handheld workflows, to ensure consistent, auditable data collection.
3. Direct PI Server Integration: Once data is entered and reviewed (if necessary), PI ML desktop communicates with your PI Data Archive, ensuring that manually logged data is incorporated into your PI System alongside automatic, historian-fed points.

When to Use PI ML Desktop

• Legacy infrastructure: Your plant’s meters don’t have digital outputs or connectivity.
• Limited device pool: Budget or policy constraints reduce your ability to issue handheld devices to all operators.
• Data quality assurance: Operators can validate and double-check entries in a comfortable environment, minimizing transcription errors.

Getting Started

• Install PI Manual Logger Desktop from your PI System installation media.
• Define data rounds in PI ML Admin tool, specifying time intervals, assets, and required tags.
• Train staff to locate and enter meter readings accurately.

Advantages

• Auditability: Manual entries via PI ML are tracked, timestamped, and attributed to personnel.
• Versatility: Easily handles various data types—not just energy meters.
• Integration: All gathered data is stored in the PI System, ready for analysis, alarming, and reporting.

Conclusion

You do not need smart meters or handheld devices to leverage PI Manual Logger. By utilizing the desktop version, you ensure valuable operational data can still be captured, stored, and transformed into actionable insights—bridging the gap between manual processes and digital analytics.

Related Resources:

• PI Manual Logger Documentation (AVEVA)
• Best Practices for Manual Data Entry in PI Systems