Due to the large area and wide distribution, photovoltaic power plants are prone to failures such as "line aging" and "hot spot phenomenon" of photovoltaic cells, and grid-connected inverters are prone to overvoltage, overcurrent, short circuit and open circuit of power tubes, etc. malfunction. These failures seriously affect the life of photovoltaic cell modules and the safe and stable operation of photovoltaic power plants. The more the number of photovoltaic power station equipment, the more faults such as virtual cables and hot spots of components.
At present, the fault detection methods of photovoltaic power plants mainly include infrared image detection method, electrical signal detection method, event-related detection method and sensor-based detection method. Compared with traditional data collectors, infrared spot thermometers, etc., when the target circuit is detected by an infrared thermal imaging camera, there is no need to cut off the power, the operation is convenient, and the non-contact measurement makes the original temperature field undisturbed. The image is intuitive and fast, which is convenient for the inspector to get the temperature of different battery blocks on the same component at the same time and in the same environment, and it is easy to find the hot spot.
In recent years, the global demand for thermal imaging camera market has grown rapidly, especially as the cost of production has been greatly reduced in the process of industrialization, and the new application fields of infrared thermal imaging cameras have continued to expand. In addition to the traditional field, it is also widely used in civil fields such as electricity, industry, photovoltaics, construction, and new energy.
In terms of cost, as technology continues to improve, thermal imaging cameras are not as expensive as they used to be. Users use thermal imaging cameras to carry out operation and maintenance of photovoltaic power plants, and quickly screen for abnormal temperature locations, which can save more time and cost, improve work efficiency, and ultimately reduce customer work costs.
