政府监管下智慧矿山建设系统演化仿真分析

    Simulation analysis of smart mine construction system evolution under government supervision

    • 摘要: 为了推动智慧矿山的发展建设,实现煤炭产业的转型升级,本文从有限理性观点出发,构建了以地方政府和煤炭企业为主体的演化博弈模型,对模型单方面策略及混合策略进行了演化稳定分析。同时根据博弈模型建立起系统动力学模型,引入政府动态惩罚和补贴措施并分别进行了演化均衡点分析与系统仿真,揭示了双方策略的互动机制。研究结果表明:政府静态奖惩措施下博弈双方仅在理想条件下存在演化稳定策略,而动态奖惩措施下存在混合演化稳定策略;系统仿真证明动态奖惩措施能有效抑制博弈双方主体的策略波动,快速达到稳定状态;政府提高惩戒力度能有效提高煤炭企业的智慧矿山建设率;政府可以通过技术扶持、矿产资源优先配置、开展联合监管提升监管效率以及构建智慧矿山联盟等举措推动煤炭企业开展智慧矿山建设。

       

      Abstract: Aiming at promoting the development and construction of smart mines in China and realize the transformation and upgrading of coal production, from the point of view of bounded rationality, an evolutionary game model with local governments and coal enterprises as the main body is constructed, and the evolutionary stability analysis of the unilateral and mixed strategies of the model is carried out.At the same time, the system dynamics model is established based on the current map, the government dynamic punishment and subsidy measures are introduced, and the evolutionary equilibrium point analysis and system simulation are carried out respectively, revealing the interactive mechanism of the strategies of both parties.The results show that there is no evolutionary stabilization strategy for both players under the government's static reward and punishment measures, while dynamic reward and punishment measures can effectively restrain the unstable state of the game between the two parties; local governments can increase disciplinary efforts to effectively increase the rate of smart mining construction in coal companies; the government can promote coal mining companies to develop smart mines through technical support, priority allocation of mineral resources, joint supervision to improve regulatory efficiency, and building smart mining alliances.

       

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