Best Condition Monitoring Software

Skysens IoT platform is an application layer with middleware specialized for IoT applications. The platform can work with multiple IoT sources either IP-based or non-IP based such as LPWAN with multiple features such as user management, alarming, reporting, rule management, and many more. With Skysens middleware, the platform can work with existing legacy data sources such as SCADA will full functionality. It has different application modules for smart industry, smart cities, and smart businesses for easy use. Different pre-configured applications such as condition monitoring, indoor and outdoor location tracking, maintenance monitoring, and many more. Device ID-based cross rule function in order to create smart actions depending on the rules with help of bi-directional connectivity of LPWAN networks. API server for connectivity agnostic LPWAN-based application integration with REST APIs. Skysens Mobile app is ready for use on Android and iOS.

With the Datacake platform, you can realize your Industrial IoT use cases, such as condition monitoring, data logging, real-time dashboards, and data analytics. Connect LoRaWAN or NB-IoT devices and gateways to the platform. Use MQTT or other interfaces. Use the Datacake IoT platform and Ready-to-Use LoRaWAN sensors to detect water levels in flowing or standing water, containers or other vessels. Use modern online maps and display the positions of your IoT assets (e.g. sensors, machines, or other things) in real-time on Interactive Maps. View the routes traveled by these devices in a historical view directly on the map. Upload images and place sensors directly in the floor plan of the building, hall plans, or other diagrams. Show your customers the conditions on-site in a simple way. Send data to your devices on Datacake via webhook. Payload decoders for HTTP requests are also available here.

Analyze and act on your data in the Edge. Make Big Data small and relevant. Collect sensor data from all your assets. Connect any sensor, PLC, DCS, MES or Historian. Condition monitoring of remote assets. Industry 4.0 data collection & integration. Combine streaming and enterprise data in data flows. Use your favorite Cloud Provider or your own data center for storage of data. Bring, manage and deploy your own ML models with Crosser Edge MLOps functionality. The Crosser Edge Node is open to run any ML framework. Central resource library for your trained models in crosser cloud. Drag-and-drop for all other steps in the data pipeline. One operation to deploy ML models to any number of Edge Nodes. Self-Service Innovation powered by Crosser Flow Studio. Use a rich library of pre-built modules. Enables collaboration across teams and sites. No more dependencies on single team members.