The intelligent oil generator is fixedly installed on the base station, and there is a set of special control equipment to control the activities of the oil generator according to the program. The management of oil generator power generation at the base station has long been done manually. This intelligent management system for oil generator power generation at the base station has completely changed this traditional management mode and realized intelligent management. The mobile oil generator monitoring and management technical solution for base stations based on the Internet of Things provides an effective system solution for oil generator power generation scheduling and power generation management. The centralized monitoring system of the power environment of the base station can monitor the operation of the city power and power supply equipment of all base stations in real time.

With the rapid development of mobile communications and the continuous expansion of the network scale, the number of base stations of mobile communications companies has increased dramatically. Due to the particularity of mobile communications, the number of network base stations is large and widely distributed, and the basic conditions such as transportation and electricity are poor. In addition, there are bottleneck problems such as insufficient power supply brought about by the development of national economic construction. In order to ensure the uninterrupted power supply of the base station load, when the city power is outage, generators need to be used for emergency power generation. Emergency power supply guarantee for base stations has become a very important task. Due to the limitations of objective conditions such as the number of maintenance personnel, vehicles, and generators, when performing emergency power generation for power outage base stations, the traditional emergency power generation dispatch adopts a manual method, which is an extensive power generation management mode. The efficiency of emergency power generation dispatch is relatively low, and it is difficult to achieve comprehensive energy-saving effects. With the continuous expansion of the scale of mobile communication networks, this extensive power generation management method can no longer meet production needs, which is mainly manifested in the following aspects: 1. The dispatch time of emergency power generation dispatch tasks cannot be reasonably determined; 2. The power generation dispatch is highly arbitrary and subjective; 3. There is a lack of reasonable dispatch plans for large-scale power outages; 4. The statistics of information such as power outages and emergency power generation are incomplete; 5. The power generation workload is not well supervised, and resources cannot be effectively saved.