Intelligent monitoring of offshore platform equipment

Application background:

As a key node in the energy lifeline, offshore platforms are exposed to harsh sea conditions and highly corrosive environments for a long time, making their mobile equipment vulnerable to damage. In addition, the unmanned management mode may lead to production interruptions and safety accidents that cannot be dealt with in a timely manner, causing huge losses to offshore oil companies. To this end, a certain oil extraction company has partnered with Sinsegy to introduce the "Instaguard Equipment Intelligent Monitoring and Diagnostic System" to safeguard offshore energy security with technological strength.

Customer requirements:

The moving equipment of offshore platforms operates in harsh environments, and traditional regular maintenance and manual inspections are difficult to cope with sudden failures and potential risks. The customer urgently needs an intelligent system that can monitor equipment status in real time, predict faults, and provide accurate maintenance recommendations to reduce unplanned downtime, lower maintenance costs, and extend equipment lifespan, meeting the key requirements of offshore platforms without fixed personnel on duty management mode.

Scenario solution framework:

Characteristics of SINSEGYE's solution:

Integrated Control and Computation

The predictive maintenance system for electromechanical equipment will effectively improve enterprise management efficiency and reduce comprehensive operation and maintenance management costs. According to relevant research data, the contribution of adopting a dynamic equipment status online monitoring system to refining enterprises is as follows: reducing inspection work time by 20%, reducing equipment maintenance frequency by 25%, reducing maintenance costs by 8-12%, extending equipment service life by 15-25%, and reducing unplanned downtime by 70-75%.

Optimize spare parts inventory

Reduce the cost of storing excess parts, accelerate inventory turnover, optimize maintenance resources and spare parts resources.

Building a big data center

Build a monitoring and diagnostic case library and a fault model library to provide technical support for equipment integrity management and smart factory construction.