Use case of

Rayven IoT

tag
Energy [EN]
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High level customers
A leading Australian energy retailer reduced energy consumption by 15% through asset-level and aggregated monitoring and anomaly detection.
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What Challenges are you solving in this industry

  • Automation using robotics [CTAR]

  • Change management [CM]

  • Communication and integration of data (Understanding and aggregating of data to optimize field operations) [CID]

  • Cyber security of operational networks [CS]

  • Data collection using sensing and imaging [DCSI]

  • Edge computing [Edge]

  • Energy saving & transition [ET]

  • Implementing multi-sensor integration systems [MSS]

  • Improving Availability and Reducing downtime (i.e predictive maintenance reliability) [PM]

  • Improving Process Productivity/Yield - Asset/Process performance management [APY]

  • Improving Quality (inspection process control) [QI]

  • Process digitalisation and automation [PDA]

  • Remote work [RW]

  • Supply-chain efficiency and visibility [SCE]

  • Workforce Management [WM]

Description of solution

Rayven offers a combined AI & IoT platform for the energy vertical, improving the operation of generators, transmitters, and broader utility organizations. The platform enables energy organizations to bring together all of their important data and KPIs for real-time monitoring and management, as well as provide them with the ability to spot hidden trends in large data sets and seize on new optimizations.

Key features include the following:

Asset, monitoring & utilization
Facilities management,
Fault & anomaly detection
Energy forecasting & efficiency
HSE compliance monitoring & management
Operations monitoring & control
Predictive maintenance
Production & yield
Regulatory compliance & reporting
Yellow goods monitoring & management

What is the value you bring to your customers?

The energy industry can sometimes struggle with predicting energy requirements and load. Also, the industry had difficulties judging the level of maintenance that remote and hard-to-reach assets might need, as well as comparing large data sets of both historical and real-time performance to find optimizations, both immediate and long-term. Rayven’s energy platform delivers the following benefits to solve these issues:

Enables organizations to run assets for longer and increase uptime
Reduces accidents
Increases asset maintenance
Improves energy efficiency and lower the cost of maintenance

For example, a leading Australian energy retailer reduced energy consumption by 15% through asset-level and aggregated monitoring and anomaly detection.

Time to implementation

1-3 months