Conditional monitoring is at the core of Qlarm functionality. By combining simple, complex, and smart rules you can monitor your assets and trigger alarms and events. Qlarm improves operations, surveillance and maintenance processes and reduces costs and downtime.
Qlarm notifies stakeholders when attention is required. Multiple channels like push notifications, interactive text messages (SMS), phone voice calls or emails will reach out. Events can trigger webhooks for initiating external workflows. Schedules ensure only the relevant
Qlarm enables live and historical data visualization tailored for various types of end-users, from field support engineers to managers and the public. Interactive charts, filtering and export formats make your business decisions sharper and faster. Advanced predictive analytics is in the making.
The dashboards are designed to display multiple custom dashboards filled with configurable widgets. It is highly flexible and allows you to create your own, and share with other users. Dashboards provide real-time monitoring of sensor values with configurable states which makes the detection of desired or undesired behaviour easy.
Qlarm exposes live and historical data via an OData REST API. The open API enables integration into third-party applications, including your enterprise systems and improves your data-driven business decisions. Qlarm is compatible with many third-party systems and support integration in complex IFTTT scenarios.
Flexible charts for visualizing your data. Data from multiple tags can be displayed and analysed on the chart, shown together with events and thresholds. The lines can be aggregated and filtered. The trend can be saved as a report which can be retrieved later or saved to file.
The main methods of getting data into Qlarm is by MQTT and OPC UA.
Qlarm is built to the highest security standards, using AES-256 encryption. Our users are managed by AAD User Management. It allows for single-sign-on and includes 2FA - Two-Factor Authentication.
Model your assets and create complete digital twins within Qlarm. The digital twins are built using DTDL - Digital Twin Definition Language.
Go to Qlarm.com for a dedicated site to this platform. Or contact us for more information or a personal demonstration.