Improved RCM analysis method, and mechanical equipment integrity evaluation system based on the same

Abstract

The invention discloses an improved RCM analysis method, and a mechanical equipment integrity evaluation system based on the same. The improved RCM analysis method includes the steps: S1, dividing the boundary for an ocean platform mechanical equipment system, and the hierarchical structure tree for all the equipment; S2, determining the performance index of each equipment in the hierarchical structure tree layer by layer; S3, determining the importance evaluation index, and according to the importance evaluation index, performing importance evaluation on all the equipment, and dividing the equipment into important equipment and unimportant equipment; S4, determining the fault mode of the important equipment, performing FMECA analysis on the important equipment, and determining the fault reason of each important equipment and the influence; S5, establishing a maintenance logic decision graph, performing logic decision on the important equipment and the unimportant equipment, determining the maintenance method of the important equipment and the unimportant equipment, and generating a maintenance outline; and S6, according to the maintenance outline, making a maintenance scheme which can be directly implemented. The improved RCM analysis method introduces the mathematic model and algorithm into the overall analysis process to convert qualitative analysis into quantitative analysis so as to obtain a relatively more visual and accurate analysis result.

Description

technical field [0001] The invention relates to the technical field of integrity of dynamic equipment on offshore platforms, in particular to an improved RCM analysis method and an evaluation system for the integrity of dynamic equipment based thereon. Background technique [0002] Due to restrictions on the purchase, lease and use of my country's offshore oil and gas production equipment and most advanced equipment, the management of most products cannot be extended to the stage of demonstration design, processing and manufacturing, installation and commissioning. Therefore, the current integrity management of offshore oil and gas production equipment and facilities mainly refers to the integrity management of equipment operation and maintenance after use and operation. Therefore, the formulation and implementation of maintenance strategies is an important part of the integrity management of offshore oil and gas production equipment and facilities. At the same time, my coun...

AI Technical Summary

Problems solved by technology

[0006] (1) The traditional RCM analysis is a qualitative analysis process or method, and the decision points at each step must be judged based on experience or expert advice. Therefore, the maintenance decision-making results are greatly affected by human factors, and there are large fluctuations

[0007] (2) The accuracy of traditional RCM analysis is low. Most of the data collected in the analysis process are qualitative descriptions, and there are few numerical data. Therefore, qualitative analysis is mostly used in the analysis process, and quantitative analysis is not enough, resulting in low precision of the final analysis results. And the error is large

[0008] (3) The content of traditional RCM analysis is too complicated, the workload is large, and the efficiency is low, resulting in high cost of RCM analysis

At the same time, many complicated tables need to be formulated during the RCM analysis process, which cannot be reused, and the data cannot be systematically managed, quickly queried and extracted, which seriously affects the comprehensive analysis and application of relevant data and cases

[0009] (4) The traditional RCM method is universal, but not specific. As a result, when it is applied to different industries or enterprises, it cannot establish a relationship with the different characteristics of the equipment and different operating environments, so that it is impossible to formulate an effective maintenance strategy. Cannot achieve the desired effect of the RCM method

[0010] (5) The applicability criteria, effectiveness criteria (including parameters, indicators, and measurement methods) and logic decision diagrams of traditional RCM are not realistic enough, making it inconvenient to operate, resulting in poor practicability of RCM, and the RCM decision is not accurate enough

[0011] (6) During the implementation of traditional RCM analysis, there is no close relationship with the design of the equipment, the real-time operation status and maintenance status of the equipment, so the RCM analysis results ( maintenance program) to make dynamic adjustments, resulting in unreasonable implementation of equipment maintenance strategies and maintenance tasks

[0012] (7) In the traditional RCM analysis, it is not possible to classify the equipment with different degrees of importance in combination with industry background, production requirements, special operating environment, and equipment characteristics, so that RCM routine analysis is performed on non-important equipment (such as FMEA, logical decision, etc.), thus increasing the analysis objects and content, resulting in excessive time and maintenance resources, and reducing analysis efficiency and accuracy

However, for equipment in the petroleum and petrochemical industry, especially for offshore platform dynamic equipment, product failure is not limited to fatigue damage and wear failure, so foreign RCM risk assessment software and standards have certain selectivity and limitations when applied to my country

Since my country's offshore platform mobile equipment continues to use the traditional equipment management model and maintenance system, and has not established a reliability-centered maintenance management model, under the traditional equipment management system, the implementation of RCM evaluation also encountered huge challenges. The main performance In: Equipment data, failure data, and maintenance data records are not standard, and the frequency of equipment failure modes and failure consequences are difficult to count, making it difficult to conduct RCM quantitative risk assessment

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