In today’s information society, the management of training rooms in vocational colleges faces many challenges. As an important place to cultivate students’ practical skills, the efficient and safe management of the training room is the key to improving the quality of teaching. The traditional management mode of training rooms often relies on manual labor, which not only consumes a lot of manpower, but also easily leads to management loopholes, such as equipment damage, resource waste, security risks, and other issues. The results were comprehensively analyzed. Parallel Distributed Processing simulations show that BP neural network pairs are managed with certain criteria the management accuracy of the training room and the management time of the training room of higher vocational colleges are better than the traditional management mode.