> For the complete documentation index, see [llms.txt](https://linecraft.gitbook.io/ikshana-pro-knowledgebase/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://linecraft.gitbook.io/ikshana-pro-knowledgebase/product-guides/condition-monitoring.md). # Condition Monitoring ## Overview The Condition Monitoring module enables teams to proactively monitor production conditions by configuring alerts for critical operational events and process parameters. Rather than relying on manual observation or post-production analysis, Condition Monitoring continuously evaluates configured conditions and notifies relevant personnel whenever predefined thresholds or events occur. By providing timely notifications and historical alert insights, the module helps teams detect abnormalities early, reduce response times, and minimize the operational impact of equipment failures, process deviations, and quality issues. ## Why use Condition Monitoring? Manufacturing issues often begin as small deviations before developing into larger production problems. Unexpected increases in temperature, abnormal cycle times, excessive downtime, or declining process performance may not immediately affect production output but can quickly escalate if left unnoticed. Condition Monitoring helps answer questions such as: * Which operational conditions require immediate attention? * Which assets are generating the most alerts? * Are alert occurrences increasing over time? * Which process parameters are most unstable? * Are recurring alerts indicating a larger operational issue? > *By continuously monitoring production conditions, the module enables teams to respond proactively rather than reacting after production performance has already been affected.* ## Understanding Condition Monitoring ### Alerts overview
The overview page provides a consolidated view of alert activity across any production line, helping users quickly asses operational health and identify areas requiring attention. The dashboard includes insights such as: * Recently triggered alerts * Alert trends over time * Parameters generating the highest number of alerts * Assets and cells which trigger the most alerts > *By default, the overview displays data from the previous week, allowing users to review recent production behavior while also supporting configurable time ranges for broader operational analysis.* ### Creating Alerts
Alerts are configured by defining the operational conditions that trigger a notification. Each alert consists of several configurable components that determine: * What is monitored * When it is monitored * When notifications should be sent {% stepper %} {% step %} ### Alert group Alerts can be organized into groups to simplify management and classify similar monitoring objectives. Grouping related alerts makes it easier to manage large monitoring environments and maintain consistency across production lines. {% endstep %} {% step %} ### Monitoring parameters Alerts can be configured using the production parameters most relevant to operational performance. The selected parameter becomes the condition continuously monitored by the system {% endstep %} {% step %} ### Monitoring scope Alerts can be applied across different production levels, including: * Production lines * Cells * Assets * Sub-assemblies > *This flexibility enables organizations to monitor conditions at both high-level production areas and individual equipment.* > {% endstep %} {% step %} ### Trigger conditions Trigger conditions determine when an alert should be generated. Users can define the evaluation criteria, threshold conditions and monitoring frequency based on operational requirements. > *These configurations ensure alerts are generated only when meaningful production events occur.* > {% endstep %} {% step %} ### Notification recipients Once monitoring conditions have been configured, alerts can be assigned to the appropriate recipients and communication channels. Notifications can be delivered through: * In-app notifications * Email * SMS This ensures the right personnel receive timeline information whenever monitored conditions require attention. {% endstep %} {% endstepper %} ## Managing Alerts
The "My Alerts" section provides a centralized workspace for managing personally configured alerts. Users can: * Review configured alerts * Organize alerts by group or production level * Modify monitoring conditions * Delete alert groups * Update notification settings > *This workspace helps ensure monitoring configurations remain aligned with changing operational requirements.* ## Team Alerts
Manufacturing operations often require multiple teams to collaborate around shared production responsibilities. The Team Alerts section displays alerts configured by other users and shared with the current user. Users can: * Review assigned alerts * Enable or disable notifications * Filter and organize shared monitoring rules ## Alert History
Alert History provides a chronological record of all alerts triggered during a selected period. Historical alert analysis helps teams investigate recurring operational issues, identify production trends, and validate the effectiveness of corrective actions. Users can review: * Alert occurrences * Trigger times * Alert status * Historical activity over configurable time periods > *New alerts can be synchronized directly from the history view to ensure investigations always include the latest production events.* ## Alert Notifications When configured conditions are met, Condition Monitoring automatically delivers notifications through the selected communication channels. Supported notification methods include: {% stepper %} {% step %} ### In-app notifications
{% endstep %} {% step %} ### Email notifications
{% endstep %} {% step %} ### SMS notifications
{% endstep %} {% endstepper %} > *Delivering alerts through multiple channels helps ensure critical operational events reach the appropriate personnel without delay.* ## Best Practices ### Monitor critical conditions Configure alerts for parameters that have a direct impact on production, equipment reliability, and product quality rather than monitoring every available metric. ### Avoid alert fatigue Define meaningful thresholds that minimize unnecessary notifications while ensuring important operational events are never overlooked. ### Organize alerts logically Group alerts by production area, asset type, or operational objective to simplify management and improve visibility. ### Review alert trends regularly Recurring alerts often indicate underlying process issues rather than isolated events. Use the Overview and Alert History pages to identify patterns that require long-term corrective action. ### Keep alert ownership updated Regularly review notification recipients to ensure alerts reach the teams responsible for responding to production events. ## Operational Outcome The Condition Monitoring module transforms operational conditions into proactive manufacturing intelligence. By continuously monitoring production parameters, notifying the appropriate teams when abnormal conditions occur, and providing historical visibility into alert activity, the module helps organizations detect issues earlier, reduce response times, improve operational stability, and prevent small deviations from developing into significant production losses.