Effective and timely condition monitoring is essential to the success of any factory or logistics center. But how do you accurately monitor machinery to know when maintenance is required before a fault occurs? To solve this challenge, SICK has launched a new product called Monitoring Box that enables access to sensor data for cloud-based condition monitoring.
Monitoring Box is a new Smart Service web application from SICK. It visualizes status data from SICK sensors, offering customers added value from previously unused sensor data. The monitoring box allows for the visualization of internal device parameters to diagnose and monitor fault conditions. It consists of a browser application, server-side data management, an internet of things gateway and suitable predefined sensor apps for the simple connection of SICK sensors.
Condition monitoring is the visualization and interpretation of vital parameters of machinery and sensors in real-time. This provides a few key benefits, including increased reaction time, reduction of downtimes and reduction of costs for unplanned service interventions.
The Monitoring Box includes a Smart Service gateway from SICK that allows for short time storage, pre-processing of data and secure data transmission. Next, a cloud service is provided for data security and long-term data backup. Lastly, the Monitoring App provides application-specific support for sensors and machinery. These are easy plug-and-play apps that are available as a subscription.
The comprehensive dashboard provided by Monitoring Box provides an overview of the status, name and location, which includes job recommendations. Live status data provides all relevant data in real-time. This includes device information and status, operating mode, and other data points that help to detect errors and malfunctions. In addition, historical data is available to understand past issues and better predict the future. And lastly, issue/alert logs are also available and can be saved within a dedicated log. This log helps to provide an overview of past alerts and determine any irregularities within the device or process that can be detected and analyzed. The type of alerts can be customized based on the needs of the user.