PRODUCTION • PROCESSING • HANDLING
two layers of analytics businesses will want to be aware of. First, they can analyse the connectivity
service layer data to improve reliability. Building analytics, reporting and automation into network functions gives enterprises a distinct advantage. It minimises the cost to run these solutions as well as the impact of potential outages. When the analytics engine senses a problem, pre-defined remediation routines can bring the connection back online. Te second layer of analytics is on the machine data itself. In this case, the analytics can go two ways: remote agents residing on the field gateway and heavy analytics within a premise or cloud-based platform. If the remote agent senses problems,
The Numerex is a digital tank reader that reports up to 24 times a day. Such devices are used for storage tank monitoring and tracking. The advanced tank-level indicators and sensors communicate in near-real time what’s happening with the user’s inventory
Take a company with cryogenic tanks for carbon dioxide storage. Old models used costly remote terminal units connected via expensive analogue cellular or POTS lines. Reporting occurred once a day and went into a data warehouse. But deviations caused serious problems for resupply. Tis enterprise now deploys cellular-based gateways, which communicate from tank level sensors in near real-time to a cloud analytics and billing platform. Te result? Increased efficiency in resupply operations, more reliable level control and huge cost savings. Today, refining and processing plants monitor various points to maintain optimised throughput. Te data lets operators make the necessary adjustments to correct deviations. Captured data also allows for periodic reports and comparisons to determine overall efficiency. Typically, plants established these data points and process controls when they were built. With IoT layered on top of the existing process network, more data points become available. Global analytics can provide incremental improvements across all locations. Tis allows near real-time
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adjustments for excellent performance. And decision makers – regardless of where they are – can receive this information via mobile business intelligence dashboards. Tere are countless opportunities for
IoT across integrated energy companies (see table). IoT has a central purpose: help businesses manage their processes more efficiently. But it also makes it possible to collect and analyse data across the ecosystem for more cost-effective decision making and strategic planning. Tere are
Upstream
Asset Tracking Vehicle Monitoring Remote Video Machine Monitoring Site Monitoring Well Head Monitoring Security/Access Sensors Lone Worker Tracking Tank Monitoring
pre-built routines will make adjustments, increase data capture and even submit system tickets for repair. We already see this strategy producing results when remote field assets correct the problem without human intervention. Te IoT data also runs through the enterprise platform to provide additional near real-time insights, giving users robust business intelligence dashboards. Tese outputs are critical to a company’s ability to see longer-term trends and make resource decisions for future support. Analysing massive amounts of data from IoT connections is the real opportunity to deliver and accelerate business value.
GUARD AGAINST CYBER ATTACKS With IoT strategies – and thousands of new connection points on networks –
Midstream
Tank Farm Monitoring Field Crew Monitoring Remote Video Pipeline Monitoring Terminal Access Control Asset Tracking Flow Meter Connectivity
Downstream
Perimeter Security Sensors Perimeter Video Camera Mobile Asset Tracking Vehicle Monitoring Production Sensors IoT Cloud Storage Lone Worker Wearables Contractor Tracking
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