Design of College Community Management and Service System Founded on Particle Swarm Optimization Arithmatic in Cloud Platform

College student community has increasingly become an important force to promote and prosper campus culture, and student community has a good appeal among the student masses. The quality of student community work directly determines the level of student education management. College student community leaders need high ability and level to make good use of the community and serve the community well. The management service system of student community based on particle swarm optimization algorithm can effectively improve the management level and service level of student community. The positioning of the college student community should not only be limited to the cultivation of students' knowledge and ability exercise, but should be scientifically positioned according to its own characteristics, combined with the needs of society and reality, and actively expand new functions. Provide necessary financial and technical support for associations, provide necessary guarantees for student associations, and encourage associations to actively obtain financial support by means of awards and allocations. The college can proceed from the actual situation, gradually plan and build the activity venue of student associations, equip corresponding activity equipment, use existing resources, provide services for associations, and improve resource utilization.