针对众包任务分配这一管理、机械和信息等科学领域的共性问题，引入社会复杂网络、人工智能和不确定性等理论，开展社群化制造中群体协作设计众包任务的定向推送机理研究。通过分析众包任务之间的多层次相关性，建立众包任务模块的划分方法；同时，通过分析设计人员之间的多类型链接关系，构建潜在众包设计者社群的发现方法。然后，在研究设计人员偏好融合策略的基础上，建立任务模块与社群的偏好一致性匹配原理；并建立众包任务与设计服务的多目标复杂约束的组合模型及基于群集智能的求解算法，形成社群内众包设计任务的分发方法。通过项目研究，为开放式创新设计中群体协作任务的分配提供理论与方法依据及支持，丰富社群化制造理论的研究，促进其发展与推广应用；并锻炼和培养人才，为地方科技和经济发展等服务，具有积极的意义。

Aiming at the common problem of crowdsourcing task allocation in management, machinery and information science, this project introduces the theory of social complex network, artificial intelligence and uncertainty to study the directional pushing mechanism of crowdsourcing task in group collaborative design under the circumstance of social manufacturing.By analyzing the multi-level correlation between crowdsourcing tasks, the method of dividing the module of crowdsourcing tasks is established. Meanwhile, the method of discovering potential crowdsourcing designer communities is constructed by analyzing the multi-type links among designers.Then, on the basis of researching the fusion strategy of designers’ preferences, the matching principle of preference consistency between task module and community is established, and the combination model of crowdsourcing tasks and design services with multi-objects and complex constraints and the solving algorithm based on swarm intelligence are established to form the distribution method of crowdsourcing design tasks in the community.Through project research, it will provide theoretical and methodological basis and support for the allocation of group collaborative tasks in open innovation design, enrich the research of social manufacturing theory, promote its development and application, and train talents to serve local scientific and technological and economic development, which is of positive significance.