Petroleum Industry - Equipment Maintenance System

Application background:

In order to seize the development opportunities of the new round of technological revolution and industrial transformation, the Chinese petroleum industry has increased its investment in informatization, digitization, networking, and intelligence in recent years, and the progress of digital transformation of petroleum enterprises has accelerated. As mentioned earlier, as a typical process oriented industry, the production process of petroleum enterprises cannot be interrupted, and the care of core production equipment is an important issue faced by enterprises.

Traditional equipment maintenance relies on threshold methods, manual operations, and algorithms with low data volume and complexity. This caregiving model has many drawbacks, such as single data, low analysis efficiency, and high personnel costs. To address the aforementioned pain points, a state-owned oil company has introduced the "Instaguard Equipment Intelligent Monitoring and Diagnostic System" independently developed by SINOGYE, which enables remote monitoring, fault warning, diagnosis, and maintenance decision support of equipment in the oilfield plant area, achieving active intelligent maintenance with integrated analysis and control.

Scenario solution framework:

1. IComputer deploys soft PLC control system: iComputer deploys soft PLC control system to replace multiple PLCs and one system server on site, achieving centralized and intelligent control system.

2. Vibration temperature integrated sensor: Deploy vibration temperature integrated sensors on equipment to collect key parameters such as acceleration, velocity, displacement, etc., and combine them with process data such as flow rate, current, and voltage of the equipment body to provide comprehensive and accurate data support for fault diagnosis.

3. Fault neural network model: Utilizing the automatic learning ability of the fault neural network model, deep analysis of collected data is carried out to achieve accurate positioning of equipment faults.

4. Integration with oil company A11 system: Instaguard system seamlessly integrates with oil company A11 system to achieve integrated remote monitoring. Real time acquisition and transmission of business data are achieved through communication with DCS within the site via OPC protocol.

Characteristics of SINSEGYE's solution:

Integrated Control and Computation

-Improving care efficiency: Customers can real-time monitor the operation status and fault location of equipment through the system, transforming the high-frequency and periodic manual point inspections on site into remote system status change notifications, greatly reducing the cost of manual inspections and effectively avoiding problems of missed inspections and untimely status monitoring.

-Early fault location: The system can detect equipment faults 10-15 days in advance, with a historical alarm accuracy rate of 95% and a false alarm rate of 0%. This advantage transforms the original post fault maintenance into early fault repair, reducing the risk of unplanned downtime and avoiding unnecessary business losses.

-Integrated Analysis and Control: Utilizing iComputer to collect on-site process data, combined with system AI intelligent multidimensional data diagnosis and analysis, to achieve precise fault location. At the same time, the system can adjust parameters such as equipment speed and valve opening in real-time, achieving the goal of integrated analysis and control.

-Reduce personnel redundancy and improve management efficiency: Through remote real-time monitoring and warning functions, the number of on-site personnel can be significantly reduced and management efficiency can be improved. At the same time, the introduction of AI intelligent diagnostic technology eliminates the need for enterprises to deploy specialized technical experts for fault analysis, further reducing labor costs.