At any point in time, companies may have pressing questions that come up regarding their machines. Questions related to machine performance, bottlenecks, anomalies, and scaling can be answered with the appropriate solution. Machine data allows businesses to keep up with these queries and can enrich growth.
Machine data refers to digital information that is mechanically created through the actions and events of networked machines. When your business uses machine data in its analytics, you can be better equipped to make decisions with the help of ample insights. A thorough analysis of data can deliver a deeper understanding of machine health and more accurate interpretations of customers’ usage patterns. Improved troubleshooting, service enhancement, and value-added monitoring services are some of the advantages of using machine data. In this post, we will further explore these advantages and how you can incorporate them into your machine systems.
Improve and Extend Remote Troubleshooting
Perhaps the greatest and most immediate benefit to monitoring equipment is the understanding gained from keeping track of what is happening with your machines. This insight facilitates troubleshooting and allows for better support. Machine issues are otherwise monitored by on-site individuals who might unknowingly provide incomplete feedback. When you monitor machine issues live and collect key KPIs, alarms, or status data, issues and their causes can be more easily determined. Additionally, this information can dictate important adjustments for both current and future machine designs. Software such as Rockwell Automation FactoryTalk® View allows for machine monitoring anytime and anywhere.
Enhance Existing Service Performance
Monitoring data can help to improve the operational efficiency of your organization. Generally, an end goal is to perform predictive maintenance and optimize performance. Predictive maintenance can use data analytics and related tools to predict when machines will require maintenance. This technique identifies unusual activity, pinpointing the source of irregularities. Using Rockwell Automation’s FactoryTalk Analytics™ LogixAI®, you can detect and predict anomalies through continuous monitoring and machine learning. Predictive maintenance can help you avoid unnecessary site visits and costly machine failures while potentially increasing uptime, which can impact your bottom line over time.
Value-Added Monitoring Services
Dedicated data monitoring Application Programming Interface (APIs) can generate powerful analytics and proactive support. HMS Networks’ Ewon supports many data aggregation cloud and on-prem models, including Rockwell Automation FactoryTalk InnovationSuite, making it easy to access historical data through the various tool sets found in FactoryTalk software. Connecting data from numerous sources and displaying it in the framework of time-series metrics provides a solid foundation for more precise monitoring and troubleshooting.
Getting Started
The process of data monitoring and creating analytics can be intimidating, but it doesn’t have to be. The expedited troubleshooting and service enhancements are well worth the effort, thanks to technologies like FactoryTalk InnovationSuite and HMS Networks’ Ewon. To start taking full advantage of your machine data, you can visit Rockwell Automation FactoryTalk Operation Software as well as HMS Ewon Brand to walk step by step through a data monitoring implementation process.
