TECSOL: Huawei is betting on artificial intelligence for O&M

TECSOL readers had the opportunity to read an article on Huawei FusionSolar. To read below:

Huawei is betting on artificial intelligence for O&M



Due to the quarantine caused by the COVID-19 pandemic, the PV plants have sometimes been understaffed by O&M Huawei and several PV operators have successfully resolved this problem. O&M unmanned tests had been conducted several times before. They have proven their efficiency in these times of health crisis … Today, O&M personnel (Operation and Maintenance) no longer need to conduct on-site inspections of entire photovoltaic power plants. Huawei’s AI BOOST Smart I-V curve diagnosis supports remote scanning of all PV strings with one click. Therefore, a 100 MW photovoltaic plant can be analyzed in just 10 minutes, with an automatically generated diagnostic report. Technology proactively provides maintenance requirements, troubleshooting and precise location to O&M personnel, eliminating the need for manual inspection and improving O&M efficiency by more than 50%. AI anticipates preprocessing Installation faults AI (Artificial Intelligence) technologies collect expert experience to search, filter, check and identify the slightest faults, proactively analyzing the health of photovoltaic installations for long periods. In this context, maintenance does not refer to the location of specific faults. Instead, it refers to the comparison of performance indicators and data supplied by sensors via algorithms to check whether the devices of the photovoltaic system are functioning properly. Once an exception is detected, a warning is generated. This type of fault pretreatment system has been widely used in the aviation industry. For example, if an aircraft engine is about to fail, a warning will first be sent to the airline’s control center. Thereafter, the control center will provide instructions to the pilot and organize maintenance personnel to arrive at the destination in advance, thereby eliminating potential risks before an accident occurs.

Unmanned plants

As labor costs increase, the traditional interview method, which involves site visits by experts, will be phased out. Artificial intelligence technologies with expert databases incorporating vast digital experience will replace O&M specialists who diagnose and make decisions. Drone inspection and automatic robot-based operation and maintenance will replace repetitive operations and maintenance. “As repetitive and dangerous tasks are accomplished by AI systems, these new technologies free staff from tedious work, thereby reducing on-site labor input while improving efficiency, speed and accuracy of the analysis. For example, a drone equipped with a high definition (HD) or infrared camera can cancel the need for a face-to-face inspection, analysis and judgment in real time, with much higher efficiency and precision. . Consequently, the photovoltaic plants will become unmanned in the future “announced Huawei in a press release. Http:// for-lom-op% C3% A9ration-and-maintenance.html