Abstract

Oil transportation pump unit is an utterly important part of mobile pipeline, which provides power for oil. In war, the pump unit is easy to be damaged because of its large target. It is important of the quick and effective maintenance of pump unit to ensure the completion of oil transfer. With the non-exponential distribution of fault interval and maintenance time of oil transportation pump unit, an Arbitrary Distribution Stochastic Petri Net (ADSPN) is proposed, and an optimal allocation model of maintenance resources for mobile pipeline pump unit is established. Main functional subsystems of pumping unit are divided, parameters of fault interval time and maintenance time distribution of each subsystem are estimated based on pumping unit’s running data and thereby construct fault generation ADSPN model. Aiming at a certain oil transportation task, construct simulation model and simulate the task in different maintenance resources allocation plans. To meet the task requirement and make sure the resources’ utilization rate and maintenance personnel work intensity are also reasonable, optimal maintenance resources allocation plans are given. With the optimal maintenance resources allocation plans, oil transportation task can be completed in time and cost is decreased, illustrates the effectiveness and practicability of the proposed approach.

摘要

输油泵组是移动管道中极为重要的组成部分，为石油提供动力。在战争中，泵组由于目标大，容易损坏。对泵组进行快速有效的维护，以保证输油的完成是很重要的。针对输油泵机组故障间隔和检修时间的非指数分布，提出了任意分布随机Petri网(ADSPN)，建立了移动式管道泵机组检修资源优化配置模型。对抽油机主要功能子系统进行划分，根据抽油机运行数据估计各子系统故障间隔时间参数和维修时间分布，从而构建故障发生ADSPN模型。针对某项油品运输任务，构建仿真模型，对不同维修资源分配方案中的任务进行仿真。为满足任务要求，保证资源利用率和维修人员工作强度合理，给出最佳维修资源配置方案。通过优化维修资源配置方案，可以及时完成油品运输任务，降低成本，证明了所提方法的有效性和实用性。