# Service ## Overview The Service Dashboard aggregates operating data such as **Operating Hours** and **Hours Until Service** to determine the current maintenance state of each asset. This enables proactive service planning and immediate identification of critical conditions. ### Accessing the Dashboard Access the service dashboard by clicking on the service icon in the sidebar. See the screenshot below as an example.
## Core Metrics The dashboard is based on two primary service indicators: * **Operating Hours** – Total accumulated runtime of a device * **Hours Until Service** – Remaining operating hours until the next scheduled service interval These values are used to automatically calculate and display the service status of each device. ## Service Status Overview
Upon opening the dashboard, users immediately see a visual summary of the overall service condition across all applicable devices. The service state is represented using a traffic light system: * **Green – OK**\ Devices operating within normal service intervals. * **Yellow – Service Required Soon**\ Devices approaching their service threshold (e.g., within the next 30 days or defined service window). * **Red – Service Overdue**\ Devices that have exceeded their defined service interval and require immediate attention. The dashboard displays the total number of devices in each category, providing an instant overview of current maintenance needs across the site. ## KPIs The dashboard includes aggregated statistics such as: * Total number of service-enabled devices * Number of devices in OK state * Number of devices requiring service soon * Number of devices with overdue service This enables fast operational assessment without the need to inspect each device individually. ## Devices
The **Devices** tab provides a detailed table view of all devices with service tracking enabled. This section allows users to review individual runtime values, remaining hours until service, and the calculated service status per device. ## Use Case The Service Dashboard is designed for preventive and condition-based maintenance management. By monitoring runtime-based service intervals, operators can identify maintenance requirements early, reduce unexpected downtime, and ensure compliance with internal service schedules. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.kemperconnect.de/monitoring-and-compliance/service.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.