An Explorer trend displays time-series data, such as tags and attributes, over a selected period.
The trend can have multiple hairlines, and you can add comments to the trended tag or attribute.
See how to add and view trends, and how to use the calculation editor within the trend.
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Click through this interactive tour to learn about IFS OI Explorer Trends in Explorer 4.9 and later.
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Click through this interactive tour to learn about IFS OI Explorer Trends in Explorer 4.18 and later.
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The Time Windows option in the Explorer Trend extends the capabilities of the trend to associate time windows with event data.
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The trace table displays details about each trace on the trend. Up to 20 traces can be added to a trend, and each can be accessed and edited through the trace table.
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The OPC Adaptor connects to one or both of an OPC DA and/or HDA Server, and provides the ability to read time series tag data. This article describes the features of the OPC Adaptor.
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The web.config file contains settings that allow you to improve client-side performance.
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The PythonTimeSeries() calculation function allows users to access Python, as a way of analysing data within your calculations.
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The InfluxDB Adaptor supports both InfluxDB v2 and v1. The InfluxDB Adaptor creates a tag for every Influx measurement-tag_key-tag_value-field_key combination during tag discovery. It supports both native and fallback sampling for GET requests, and also supports PUT requests. The adaptor can be installed via the Explorer installer. ON THIS PAGE:Adaptor…
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The Diagnostics page, available to Explorer Administrators, displays key diagnostics for helping to debug Explorer support issues. Use this page if: Explorer becomes unresponsive for a number of users Shift Log is displaying entries in an unusual way Comments are not appearing Shift Log Entries Not Updating in the Table…
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