数智技术赋能燃气安全的产学研多主体微分博弈分析

doi:10.16265/j.cnki.issn1003-3033.2026.08.1589

中国安全科学学报 ›› 2026, Vol. 36 ›› Issue (8): 276-286.doi: 10.16265/j.cnki.issn1003-3033.2026.08.1589

数智技术赋能燃气安全的产学研多主体微分博弈分析

张华¹^,²(), 张智慧², 曹策俊³^,^**()

¹ 重庆工商大学会计学院, 重庆 400067
² 重庆工商大学管理科学与工程学院, 重庆 400067
³ 四川工商学院数字经济与管理学院, 四川成都 611745

收稿日期:2026-04-11 修回日期:2026-06-19 出版日期:2026-08-28
通信作者:
**曹策俊(1990—),男,四川南充人,博士,教授,博士生导师,主要从事公共安全与应急管理、数智技术与博弈论等方面的研究。E-mail:caocejun0601@tju.edu.cn。
作者简介:
张华 (1986—),男,湖南株洲人,博士,副教授,硕士生导师,主要从事能源经济与管理、经济增长与动态博弈等方面的研究。E-mail: zhanghua2019@ctbu.edu.cn。
基金资助:
国家社会科学基金资助(22BGL186); 国家自然科学基金资助(72374036); 重庆市社科规划中特理论重点项目(2024ZTZD15); 重庆市教委科学技术研究计划项目(KJQN202300814)

A multi-agent differential game analysis of digital intelligent technology enabling gas safety governance: an industry-university-research perspective

Zhang Hua¹^,²(), Zhang Zhihui², Cao Cejun³^,^**()

¹ School of Accounting, Chongqing Technology and Business University, Chongqing 400067, China
² School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing 400067, China
³ School of Digital Economy and Management, Sichuan Technology and Business University, Chengdu Sichuan 611745, China

Received:2026-04-11 Revised:2026-06-19 Published:2026-08-28

摘要/Abstract

摘要：

为提高城市燃气安全治理水平,在数智技术赋能燃气安全管理的基础上,构建一个包含上、下游企业与科研机构的三方微分博弈模型,重点探讨上游企业分担下游企业各项成本的情形,系统比较4种情形下的均衡策略与利润,并结合数值算例探讨关键参数对帕累托改进效果的影响。研究结果表明:下游企业引入数智技术不仅能提升燃气安全水平,还可实现各成员利润的增长;上游企业实施双重成本分担机制能够给各成员带来更优的帕累托改进效果;在双重成本分担机制所引致的帕累托改进中,需求价格弹性、燃气安全管理效率及其成本对上下游企业影响显著,而数智技术贡献及其投资成本则影响科研机构的利润与帕累托改进效果。

关键词: 数智技术, 燃气安全管理, 产学研, 微分博弈, 双重成本分担

Abstract:

To improve the governance level of urban gas safety management, a three-player differential game model involving upstream enterprises, downstream enterprises, and research institutions was developed under the empowerment of digital and intelligent technologies in gas safety management. Particular attention was paid to the scenario in which the upstream enterprise shared various costs incurred by the downstream enterprise. The equilibrium strategies and profits under four different scenarios were systematically compared, and numerical simulations were conducted to examine the effects of key parameters on the Pareto improvement. The results show that the adoption of digital and intelligent technologies by downstream enterprises not only enhances the level of gas safety but also increases the profits of all participants. Moreover, the implementation of a dual cost-sharing mechanism by the upstream enterprise yields superior Pareto improvements for all members. In addition, demand price elasticity, gas safety management efficiency, and its associated costs significantly affect the upstream and downstream enterprises under the Pareto improvement induced by the dual cost-sharing mechanism, whereas the contribution of digital and intelligent technologies and their investment costs mainly influence the profits of research institutions and the magnitude of the Pareto improvement.

Key words: digital intelligence technology, gas safety management, industry-university-research collabration, differential game, dual cost-sharing

中图分类号:

张华, 张智慧, 曹策俊. 数智技术赋能燃气安全的产学研多主体微分博弈分析[J]. 中国安全科学学报, 2026, 36(8): 276-286.

Zhang Hua, Zhang Zhihui, Cao Cejun. A multi-agent differential game analysis of digital intelligent technology enabling gas safety governance: an industry-university-research perspective[J]. China Safety Science Journal, 2026, 36(8): 276-286.

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变量	γ	β	θ_D	θ_R	θ_M	f	c_D	c_R	c_M
${\mathit{E}}_{\mathrm{D}}^{\mathrm{j}\mathrm{*}}$	↗	↘	↗	―	―	―	↘	―	―
π^j*	↗	↘	―	↗	―	―	―	―	―
${\mathit{I}}_{\mathrm{R}}^{\mathrm{j}\mathrm{*}}$	↗	↘	―	↗	―	―	―	↘	―
M^j*	―	―	―	―	―	↗	―	―	↘
${\mathit{S}}^{\mathrm{j}\mathrm{}}{\mathit{S}}_{\mathit{\infty }}^{\mathrm{j}\mathrm{}}$	↗	↘	↗	↗	↗	↗	↘	↘	↘
${\mathit{w}}^{\mathrm{j}\mathrm{}}{\mathit{w}}_{\mathit{\infty }}^{\mathrm{j}\mathrm{}}$	↗	↘	↗	↗	↗	↗	↘	↘	↘
${\mathit{p}}^{\mathrm{j}\mathrm{}}{\mathit{p}}_{\mathit{\infty }}^{\mathrm{j}\mathrm{}}$	↗	↘	↗	↗	↗	↗	↘	↘	↘
${\mathit{V}}_{\mathrm{U}}^{\mathrm{j}\mathrm{*}}$	↗	↘	↗	↗	↗	↗	↘	↘	↘
${\mathit{V}}_{\mathrm{D}}^{\mathrm{j}\mathrm{*}}$	↗	↘	↗	↗	↗	?	↘	↘	―
${\mathit{V}}_{\mathrm{R}}^{\mathrm{j}\mathrm{*}}$	↗	↘	―	↗	―	↗	―	↘	↘

数智技术赋能燃气安全的产学研多主体微分博弈分析

A multi-agent differential game analysis of digital intelligent technology enabling gas safety governance: an industry-university-research perspective

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