Abstract: Forest management practices and multifaceted forest planning needs are important in forest resource management and planning research. This study proposed an HPSO framework using a multi-objective particle swarm optimization algorithm that provided operational management planning metadata through distributed resources and diverse constraints. The HPSO framework consists of 3 sub-components: the forest resource metadata model, the management actual profile model and the use planning requirements model, including an architecture that uses these sub-models. Based on this framework, a multi-angle-information interpretation-multi-information integrated proof-of-concept platform was designed to make appropriate improvements to the management planning of forest resources. On the basis of the original physical attribute particle group, the particle mass of structural mass attribute was added, and the statistical characteristics and statistical distribution characteristics of the particle group population were used as the basis for dividing the sub-particle group. Dimension, scaled, and dynamized forest resource attributes. Fully consider the objectives of resource flexibility management, forest services, forest culture, forest heritage, forest carbon balance and so on. Combine ecological knowledge, eco-harvesting, carbon management, water safety, wood safety, environmental safety, etc. as future planning directions. Combined ecological knowledge, eco-harvesting, carbon management, water safety, wood safety, environmental safety as future planning directions.