基于用户行为聚类的智慧社区用水调度

Smart community water use scheduling based on user behavior clustering

为了更好地实现智慧社区中用户的舒适度以及调度的时效性,对社区的用户进行聚类划分为不同的用户群,根据社区再生水资源的模型参数,在不同用户群中分配不同比例的资源,提出了一种并行比例调度算法,以此来最大化满足再生水的现有资源,降低净水的消耗,在实现节水的同时,更好的满足用户需求。仿真结果表明,并行比例调度算法相比传统的轮询调度在减少用水费用支出和节水上更有效果。

In order to better realize the satisfaction of users in the smart community and the timeliness of scheduling, the users of the community are clustered into different user groups. According to the model parameters of the community renewable water re- sources, different proportions of resources are allocated among different user groups. A parallel proportional scheduling algorithm was proposed to maximize the existing resources of reclaimed water, to reduce the consumption of clean water, and to meet the needs of users while achieving water saving. Simulation results show that parallel proportional scheduling algorithm is more effective than conventional polling scheduling in reducing water expenditure and saving water.