With the continuous development and progress of human society, fossil fuel is widely used as the main energy source. However, due to its limited reserves, people have to face the problem of energy crisis, so human beings turn their attention to new renewable energy sources. Because of the convenience of installation, people pay more and more attention to the economic use of distributed photovoltaic power plants. However, the power output of photovoltaic modules is affected due to the real-time change of illumination, the randomness of shelter and the uncertainty of load. Because distributed photovoltaic power plants are merged into the power grid from the distribution network side, the security of grid connection restricts the development of distributed photovoltaic power plants. In order to meet the development needs, it is urgent to build a distributed photovoltaic power station remote intelligent monitoring system with high accuracy and efficiency. Based on the above reasons, a distributed photovoltaic power station remote intelligent monitoring system has been designed. The system is mainly composed of monitoring modules, induction modules, and computer groups. Through experiments, it has been verified that the remote intelligent monitoring system has high accuracy and efficiency.