Solar Investment Decision Application System Based on Big Data Technology

With the rapid development of photovoltaic new energy industry, more and more investors have started to invest in photovoltaic projects. In order to help investors make wise investment decisions, a photovoltaic investment decision-making application system based on big data technology has been designed. This system uses temperature sensors, humidity sensors, light sensors, and power sensors in the equipment layer to obtain environmental data around photovoltaic solar panels, and uses NBIOT wireless network in the communication layer to transmit the data to the service layer. The service layer connects to the Web server cluster to access components and transfers the environmental data to modules such as big data encryption, parsing, and offline storage control. The system utilizes big data technology to encrypt, parse, and store the data offline, and then transfers the data to the application layer. The application layer provides data management and query functions for investors, making it easier for them to manage and query photovoltaic investment decision-making terminal data. The system has also undergone experimental testing, and the results show that the system can collect, network, and remotely transmit operating data of distributed photovoltaic solar panels. It can also provide remote access and control of data through a computer or mobile client. This system can help investors consider the impact of different geographical environments and seasonal climates on equipment, thereby making better investment decisions.