Question 1

How to set up Influx-OPCUA-logger for monitoring boolean values from OPC UA?

Accepted Answer

In the config file, set the method to 'monitored' and datatype to 'boolean' for the metric; it logs both the boolean value and a numeric field value_num as 1 or 0. This is ideal for tracking state changes like valve positions in industrial systems.

Question 2

Does Influx-OPCUA-logger support OPC UA certificate authentication?

Accepted Answer

The README only mentions username and password authentication; for certificate-based auth, you may need to rely on the underlying node-opcua library or contribute to the project, as it's not explicitly supported.

Question 3

Influx-OPCUA-logger vs a custom Node.js script for OPC UA logging, which is better?

Accepted Answer

Influx-OPCUA-logger offers built-in buffering and reliability features out-of-the-box, saving development time, while a custom script provides more flexibility but requires manual implementation of error handling and data persistence.

Question 4

What happens to buffered data if Influx-OPCUA-logger crashes or restarts?

Accepted Answer

Buffered data is stored in files in the DATA_PATH directory; on restart, it should attempt to resume logging, but the README doesn't detail crash recovery mechanisms, so testing in your environment is advised.

Question 5

Can I use Influx-OPCUA-logger with InfluxDB 2.0 and its new API?

Accepted Answer

The config uses a URL format; for InfluxDB 2.0, you might need to adjust the URL to include tokens and organization, but compatibility isn't explicitly stated, so check the node-opcua library or experiment with settings.

Question 6

How to disable the anonymous analytics in Influx-OPCUA-logger?

Accepted Answer

Set the environment variable DISABLE_ANALYTICS=true, as mentioned in the disclaimer section of the README. This stops the 'phone home' functionality without affecting core logging features.

Question 7

Is Influx-OPCUA-logger suitable for high-frequency polling, like every 100ms?

Accepted Answer

The README notes that intervals are rounded to second-level cycles and match a 1-minute cycle, so very high frequencies may not be supported; it's better for slower, industrial-paced data collection.

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