Features
33 articles
Variables overviewLearn how variables capture and display data to power dashboards, alerts, and analytics in ioTORQ.
Automatic variablesAutomatic variables import raw data from meters, sensors, and reports to create the foundation of your analytics.
Virtual variablesVirtual variables transform and combine raw data from automatic variables using math and advanced functions for analysis and reporting.
Variable operationsUse arithmetic and advanced functions on variables to calculate, transform, and analyze data in ioTORQ EMIS.
Viewing chartsExplore variable data visually with interactive charts, raw data tables, comments, and zoom or download tools.
Targets overviewAdd and configure targets for variables to track performance, set thresholds, and compare against benchmarks.
Fixed range targetCreate a flat-line band on variable charts to compare values against an upper and lower threshold.
Equation targetBuild custom targets by combining variables, constants, and math operations for advanced chart comparisons.
Comparison targetCompare a variable directly against another reference variable on charts, with optional cumulative sums or date offsets.
Regression targetCreate dynamic targets by analyzing correlations between variables to predict and track operational impacts.
Alert Manager – Real-World Use-Case ReferenceReview real-world industrial alert examples with objectives, triggers, actions, and recommended Alert Manager configurations.
Alert Notification BehaviorUnderstand how ioTORQ EMIS sends alert notifications and suppresses repeated emails for ongoing alert conditions.
Alerts OverviewMonitor data anomalies using customizable alert rules and severity-based prioritization.
Alert DetailsView detailed alert information to understand context, severity, and take appropriate action quickly.
How to set up alertsSet up variable alerts using targets, custom rules, and multiple notification options.
Alert Cause AssignmentCreate and assign alert causes to document incidents and support long-term analysis.
Chart Type OverviewExplore the different chart types available in ioTORQ and how to use them to effectively visualize and present your data.
Line ChartPlot the trends of one or more variables over a selected period to compare values on a shared axis.
Bar ChartsVisualize one or more variables over a time period using bars, with configurable timeframe and frequency
Horizontal Bar ChartsRepresent one or more variables over time with the axis flipped, showing variable magnitude along the x-axis and time along the y-axis, with configurable timeframe and frequency.
Stacked Line ChartCombine multiple variables into layered lines to visualize individual contributions to a total over time, with configurable timeframe and frequency.
Stacked Bar ChartsDisplay multiple variables stacked within each bar to show their contribution to a total, with configurable timeframe and frequency.
Pie & Donut ChartsDisplay the percentage contribution of multiple variables to a total over a selected timeframe, using each variable’s aggregation.
Gauge ChartsShow a single variable’s status or progress toward a target, using intuitive gauge visuals and aggregated data over a chosen timeframe.