With the continuous increase of domestic photovoltaic installed capacity year after year, a large number of photovoltaic power plant projects have landed rapidly, and the demand for power plant operation and maintenance has also shown explosive growth.
However, with the increasing number of power plants in complex scenarios such as mountains, water, deserts and Gobi, the traditional manual operation and maintenance mode has been unable to meet the current needs of efficient and high-quality operation and maintenance of photovoltaic power plants. With the support of the two-way integration of artificial intelligence, low-altitude UAV technology and new energy industry, the intelligent operation and maintenance mode with AI intelligent inspection as the core emerges as the times require, which provides a new solution for the operation and maintenance of photovoltaic power plants. During
the 2026 SNEC International Photovoltaic Exhibition, Liu Fuheng, General Manager of Shandong Hengtong Vision Technology Co., Ltd., Accepted Digital New Energy DataBM.
With the development of industry and technology, the construction scenario of photovoltaic power station has realized many restrictions, from mountain forest to water surface, from building to desert, but it is also because of the increasingly complex scenario that brings many challenges to the operation and maintenance of photovoltaic power station, relying on the traditional manual inspection mode. It has been unable to meet the needs of users under the new situation. During the
exchange, Liu Fuheng summed up the four major pain points of the traditional photovoltaic power plant operation mode.
1. High human cost and prominent
safety risk Liu Fuheng introduced that at present, the annual operation and maintenance cost per capita of photovoltaic power plants has exceeded 80000 yuan/MW, especially in the complex environment of mountainous areas, water surface, Shago wasteland and so on. The difficulty and cost of manual inspection relying on the traditional mode are doubled.
In addition, operation and maintenance personnel have been working in high-risk environments such as high altitude and water for a long time, and potential safety hazards such as electric shock, falling and drowning are also very prominent.
2. Low
efficiency of manual patrol inspection corresponds to the high cost of traditional patrol inspection. Liu Fuheng takes 50 MW photovoltaic power station as an example. Under the manual inspection mode, it usually takes 10 people and one week to complete, which has a long cycle and low efficiency.
3. Patrol inspection relies on experience judgment, and the treatment scheme lacks scientificalness
. Manual patrol inspection mostly relies on the naked eye or simple tools, and personal experience judgment, lacking scientific basis, unable to accurately judge the real state of the power station, and prone to misjudgment, missed detection and other issues.
In addition, for early hidden danger signals such as hot spots, diode faults and open circuits, manual inspection is often unable to monitor them in time, while missed detection or delayed disposal of faults can easily lead to safety accidents, and later losses may be multiplied.
4. The level of intelligence is low, and the value of massive operation and maintenance data is idle
. Liu Fuheng said that most of the photovoltaic power plants under long-term continuous operation have accumulated and precipitated massive equipment operation images and data, but the traditional power plant operation and maintenance team lacks the ability to process and analyze professional data. It is a pity that Liu Fuheng can not be transformed into an effective basis for equipment early warning and operation and maintenance optimization.
He believes that the current level of intelligence in the field of photovoltaic power plant operation and the acceptance of intelligent equipment and tools need to be improved.
At present, with the continuous large-scale implementation of photovoltaic power plants, it has become a huge industry gap to continuously improve the efficiency and quality of power plant management, reduce operation and maintenance costs, and avoid safety risks. But on the other hand, the traditional original extensive management mode has been unable to match the needs of the current power station users. How to break the game?
Liu Fuheng introduced that over the years, Hengtong Vision has focused on AI + new energy track, focusing on the construction of AI UAV intelligent inspection system for photovoltaic power plants, focusing on the construction of intelligent inspection and operation and maintenance management and control capabilities for power plants. It has launched two major product service sectors, namely, full-process intelligent inspection service and intelligent inspection system , covering two mainstream new energy station scenarios, such as photovoltaic and wind power.
Among them, the intelligent inspection system of photovoltaic power station developed by Hengtong Vision has been able to "realize closed-loop operation from early modeling, route planning, subsequent data acquisition, AI analysis, and final report", and at the same time, Hengtong Vision maximizes the use of lightweight design to adapt to more scenarios. It can achieve "AI technology runs through all processes and scenarios of operation and maintenance inspection of photovoltaic power plants".
The most noteworthy thing is that after years of service accumulation and precipitation, At present, Hengtong Vision has established more than 100,000 hidden dangers of photovoltaic power plants and
photovoltaic power plant operation and maintenance, Liu Fuheng is full of confidence in his own track. He believes that it is not difficult to see from the recent supporting policies and development plans issued by the competent government departments that "AI enabling new energy is no longer a single technology application." Instead, it supports
"The future development trend (in the field of power station patrol inspection) will definitely be the integrated development of 'AI + energy', and data and AI will drive the reform and development in the field of power station operation and maintenance," Liu Fuheng judged.
Indeed, the continuous breakthrough development of AI + UAV and other intelligent equipment technologies, as well as the in-depth and rapid integration with new energy power plant scenarios, provide unlimited possibilities for the refined, digital, intelligent and low-cost management transformation of photovoltaic power plant operation and maintenance.
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