Global Energy Producer Deploys Real-Time Intelligence to Ensure Compliance
INDUSTRIAL INTERNET OF THINGS USE CASE
- Ensure regulatory and environmental compliance
- Reduce maintenance costs
Real-time audio and video analysis
- Real-time audio and video analysis of flare feeds
- Human monitoring replaced with automation
- Lower OPEX costs
- Broad compliance monitoring capabilities
- Improved safety
Flare stacks are commonly used in many industries to safely burn off harmful waste gases and byproducts as operators manage plant safety and efficiency. Flare stacks are most commonly used by oil and gas refineries and drilling operations, but are also used by chemical processing, gas distribution and waste disposal companies. All of these industries have the challenge of minimizing harmful emissions, complying with regulations and managing the high cost of manual flare stack monitoring and maintenance.
Leveraging the Potential of IIoT
Oil and gas extraction are high-stakes, technology-driven operations that depend on real-time onsite intelligence to provide proactive monitoring and protection against equipment failure and environmental damage.
When an energy producer reached out to Anixter in search of a solution to help ensure regulatory and environmental compliance while reducing maintenance costs, the Anixter team knew an Industrial Internet of Things (IIoT) solution was needed to produce successful and useful results, both technically and financially. However, the reality of these outcomes was challenged by:
- Harsh and remote environments
- Various legacy siloed systems
- Proprietary communication protocols
- IT/OT institutional barriers
- Lack of scalable discovery data from sensors
- High-volume/velocity streaming of data analytics
The Anixter Solution
Leveraging Anixter’s network of Technology Alliance Partners, the Anixter Technology Support Services team engineered a real-time audio and video analysis solution comprised of sensors, gateways, a communications system and artificial intelligence (AI), which was deployed across hundreds of the customer’s flare stacks around the globe.
With automated real-time audio and video analysis and predictive AI, the energy producer no longer needs to manually monitor a large number of flare stacks, reducing labor costs and the chance for human error. They have also achieved greater compliance, while decreasing operational expenditure (OPEX) and maintenance costs.