Early detection of abnormalities in oil plants! Streamlining maintenance operations with AI-FTA.
In the oil industry, it is crucial to detect equipment abnormalities early and maintain safe operations at plants. Particularly in environments with high temperatures and pressures, or in plants handling a wide variety of chemicals, even minor anomalies can lead to serious accidents. AI-FTA supports safe operations by accelerating the identification of failure causes in plant equipment and enhancing abnormality detection capabilities. By structuring on-site data and formalizing the know-how of veteran technicians, a reproducible maintenance system that does not rely on subjective judgment is established. 【Use Cases】 - Abnormality detection in plant equipment - Identification of failure causes - Streamlining maintenance operations 【Benefits of Implementation】 - Reduction in the time taken to identify failure causes - Decrease in the risk of equipment downtime - Assetization of trouble response history
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basic information
【Features】 - Integration of on-site data → Structured decision-making - Utilization of past failure cases and causal relationships - Acceleration of primary cause estimation - Reduction of dependence on veterans and support for horizontal deployment - Utilization of existing equipment and existing data (no modifications needed) 【Our Strengths】 As a specialized store focused on LED lighting and custom solutions, we provide optimal solutions tailored to our customers' needs.
Price range
P6
Delivery Time
※2-6 months
Applications/Examples of results
■ Performance and Verification Examples Verification conducted in a domestic plant operating company (*Customer and facility names are not disclosed) Verification focused on continuous processing equipment operating for over 10 years Integration of failure reports, work standards, and inspection history Structuring of over 1,200 records Implementation of multiple system classification and cause candidate suggestion functions Confirmation of the potential for cross-site deployment *The verification examples are used as a "valid judgment structure model on-site." ■ Common Concerns (FAQ Style) Q: What is needed before implementation? A: You can start simply by organizing and providing your current maintenance and failure report documents. Q: How much effort is required for implementation? A: It varies depending on the data preparation status of the target systems, but you can start with a Proof of Concept (PoC). Q: In what kind of environments is it effective? A: It is effective in equipment maintenance environments where the causal structure is complex and relies on veteran judgment.
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Company information
Our company is a specialty store focused on LED lighting and custom solutions. We can accommodate OEM products for LED lighting in small lots. Additionally, regarding plant cultivation, we offer proposals tailored to current needs, including mobile container farms, compact growth systems, and custom growth shelves. We also have lighting options that comply with JIS8006 for marine applications, in addition to standard lighting. Furthermore, we provide lighting fixtures that can be used in ultra-low temperature environments, as well as types with emergency light functions. For inquiries about LED lighting and plant cultivation, please feel free to consult with us.
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