Explore how industrial software solutions utilize IIoT-powered solutions to boost efficiency and cut costs with remote monitoring capabilities.
Introduction
Industrial remote monitoring consists of tracking and managing industrial processes and equipment remotely. It aims to improve efficiency, safety, and cost savings across various industries. In most major industries, such as manufacturing, oil & gas, and the energy sector, we have observed the use of IoT-powered industrial software solutions. E.g. projected to grow from $20.2 bn in 2020 to $35.2 bn by 2025, the global IoT in the energy market will see an annual growth of 11.8%.
In this blog, we will discover the various types of remote monitoring solutions. Furthermore, we will delve into applications of industrial software solutions offering asset remote monitoring.
Key IoT industrial software solutions enabling remote monitoring
Historically, three solutions for remote monitoring using IoT have consistently been proven essential across industries:
Predictive maintenance
A great way to proactively maintain assets and equipment is to employ data analysis and machine learning techniques that enable predictive maintenance. This allows for detecting potential failures before they happen, thus reducing unexpected downtime while cutting maintenance costs.
Conditions-based alerts
Real-time monitoring detects deviations from normal operations and sends timely alerts via email or cell phone. This enables immediate action to prevent minor issues from becoming grievous problems.
Automated processes
IIoT technology utilizes remote monitoring to enhance production operations. It automates various manufacturing workflow aspects to increase efficiency and productivity across industries.
With the growth of Industry 4.0 technologies, numerous industrial software solutions have arisen that combine IIoT and remote monitoring to optimize plant processes and drive digitization. OmniconnectTM is such a cloud-native IT/OT convergence platform, integrating operational technology (OT) and information technology (IT) through cloud data lakes. By utilizing big data analytics, it collects, transforms, enriches, accesses, and analyzes manufacturing data in real-time, providing actionable insights that drive business success.
Up ahead we will explore industry-centric use cases, powered through OmniconnectTM, that enable industrial remote monitoring.
Industry applications and use cases
Manufacturing
Oil, Gas & Energy
The Oil, Gas, and Energy sector has been revolutionized through remote monitoring deployed through IoT devices, enabling saved energy costs and optimized operations. IIoT systems gather data from all over and optimize energy usage. This allows for boosted efficiency and lowered operational costs.
This is what Chillowatt offers, as with continuous remote monitoring of chiller performance parameters in real-time, immediate visibility into system operation is enabled. This industrial software solution calculates KPIs such as chiller efficiency, COP, and energy consumption metrics. Trend analysis capabilities to identify long-term patterns and monitor gradual performance degradation over time.
Remote monitoring is enabled through sensors and IoT devices, collecting continuous data that allows for asset integrity management. This means that pipelines, rigs, and refineries can be monitored remotely. This is vital to identifying issues early and ensuring operational integrity i.e., predictive management. Utilizing predictive models to predict potential failures before they happen reduces downtime, cuts maintenance costs, and prolongs critical asset lifespan. This proactive maintenance solution reduces downtime costs significantly and extends lifespan by protecting critical assets for longer.
Furthermore, IIoT technologies monitor emissions and environmental conditions in real-time. This ensures compliance with stringent regulations, reduces environmental impact, and boosts safety by alerting of imminent hazardous situations.
Fuel management
Inadequate monitoring and control over fuel management has detrimental consequences, including fuel losses, escalated operational expenses, and heightened risks. This can result in fuel retailers and dealers having to tackle fuel theft, fuel mixing/dumping, and data inaccuracy.
By employing IoT solutions, fuel retailers and dealers can efficiently and remotely monitor and manage fuel consumption. An advanced end-to-end fuel management system enables optimized operations and maximizes the capacity of fueling stations. Fintech Fuel is one such industrial software solution that through real-time data analysis, offers critical remote visibility into fuel inventory and consumption trends.
By use of this cloud-native technology, fuel loss is mitigated and profitability is ensured. Consolidated dashboards and reports spanning all sites allow a comprehensive overview of operations and eliminate blind spots in fuel management. Furthermore, through stock & maintenance alerts and tank level gauging mechanisms, fuel retailers can make quick and informed decisions.
What the future holds
The future of industrial remote monitoring looks bright with industrial software solutions utilizing IIoT and machine learning techniques. These technologies will further advance remote monitoring systems’ abilities by offering more accurate predictions and optimizing operations, creating future applications in different industries while strengthening integration between existing systems – making industrial remote monitoring an indispensable asset in various sectors.
Interested in adopting industrial solutions that will allow your enterprise to reach peak efficiency, and provide remote critical visibility into asset performance? Speak to our experts.
