随着煤矿智能化的发展，煤矿企业对机械设备可靠性与稳定性的要求越来越高。综采设备群作为煤矿开采中的主要设备，维护不当将造成经济损失与安全事故，建立其合理的维护决策模型对于保障煤矿生产安全来说十分关键。目前，煤矿开采过程中生产与维护冲突严重，面向综采设备群的决策模型没有考虑生产对维护的影响。本文源于国家自然科学基金(编号：51875451)，针对煤矿生产与维护冲突的问题，以综采设备群为研究对象，提出了生产与维护联合决策优化方法。

针对综采设备群维护成本高、停机时间长的问题，提出多级机会维护策略。基于威布尔分布建立综采设备的退化模型，运用故障模式、影响及危害度分析对综采设备进行故障分析。基于不完美维护效果模型与机会维护思想，引入修正因子，制定多级机会维护策略，为后续模型建立提供依据。

针对综采设备群维护决策模型没有考虑生产因素的问题，建立综采设备群生产与维护联合决策模型。分析煤矿生产系统业务流程，找出生产与维护的制约关系，将库存、缺货、生产计划等因素考虑到维护决策模型中。基于多级机会维护策略，以总成本最低为目标，构建生产与维护联合决策模型。

针对联合决策模型的复杂性与智能算法的局限性，设计组合算法求解模型。将鲸鱼优化算法、模拟退火算法与遗传算法进行组合，设计混合鲸鱼退火遗传算法(Hybrid Whale Annealing Genetic Algorithm，HWAGA)。通过案例对比分析证明了算法和模型的有效性，通过灵敏度分析表明了联合决策优化的必要性。

为了将生产与维护联合决策模型应用于与煤矿实际生产过程中，开发煤矿综采设备群生产与维护联合决策系统。依据Browser/Server体系，确定系统的层次架构与功能模块。以模型与算法为基础，基于前后端分离模式，运用Java、Vue、Mybatis等技术对系统进行详细设计。系统功能测试表明系统可以满足煤矿企业管理与决策的需求。

综采设备群生产与维护联合决策方法的研究降低了综采设备的停机时间与维护成本，有效解决煤矿企业生产与维护的冲突，提升了企业效益。

With the development of coal mine intelligence, coal mining enterprises have higher and higher requirements for the reliability and stability of mechanical equipment. As the leading equipment in coal mining, the improper maintenance of fully mechanized equipment group will cause economic losses and safety accidents. Establishing a reasonable maintenance decision model is very important to ensure coal mine production safety. Currently, the conflict between production and maintenance is severe in coal mining, and the decision model for the fully mechanized mining equipment group does not consider the impact of production on maintenance. This paper originates from the National Natural Science Foundation of China (No. 51875451), aiming at the conflict between coal mine production and maintenance, taking the fully mechanized mining equipment group as the research object, and proposing a joint decision optimization method for production and maintenance.

A multi-level opportunistic maintenance strategy is proposed to solve the problems of high maintenance costs and extended downtime of the fully mechanized mining equipment group. The degradation model of fully mechanized mining equipment is established based on Weibull distribution, and the Fault Modes Effects and Criticality Analysis is used to analyze the failure of fully mechanized mining equipment. Based on the imperfect maintenance effect model and the idea of opportunistic maintenance, a correction factor is introduced, and a multi-level opportunistic maintenance strategy is formulated to provide a basis for the subsequent model establishment.

The maintenance decision model of the fully mechanized mining equipment group does not consider the production factor, so a joint decision model of production and maintenance of the fully mechanized mining equipment group is established. Analyze the business process of the coal mine production system, find out the constraint relationship between production and maintenance, and take inventory, out-of-stock, production planning, and other factors into consideration in the maintenance decision model. Based on the multi-level opportunistic maintenance strategy, a joint decision model of production and maintenance is constructed to achieve the lowest total cost.

The joint decision model is complex, and intelligent algorithms have limitations. A combinatorial algorithm is designed to solve the model. The whale optimization algorithm, simulated annealing algorithm, and genetic algorithm are combined to design a Hybrid Whale Annealing Genetic Algorithm. The effectiveness of the algorithm and model is proved by case comparison analysis, and the necessity of joint decision optimization is demonstrated by sensitivity analysis.

To apply the joint decision model of production and maintenance to the actual production process of coal mines, a joint decision system for production and maintenance of fully mechanized mining equipment group in coal mines is developed. According to the Browser/Server system, the system's hierarchical structure and functional modules are determined. Based on the model and algorithm, the front-end and back-end separation mode is adopted, Java, Vue, and Mybatis are used to design the system in detail. The function test shows that the system can meet coal mining enterprises' management and decision needs.

The research on the joint decision method of production and maintenance of fully mechanized mining equipment group reduces the downtime and maintenance cost of fully mechanized mining equipment, effectively solves the conflict between production and maintenance of coal mining enterprises, and improves enterprise benefits.

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