Huadian International Zouxian County Power Plant, located in Zoucheng, Shandong Province, is one of the largest power plants of China Huadian Corporation (CHD). It has 4 sets of 335,000KW, 2 sets of 635,000KW and 2 sets of 1 million KW units, with a total installed capacity of 4.61 million KW. It is the only one in China with three capacity levels of 300,000KW, 600,000KW and 1 million KW and two technical levels of subcritical and ultra-supercritical and also one of the coal-fired power plants with the largest installed capacity and the highest comprehensive energy conservation and environmental protection level in China.

In October 2012, BKC began to implement the precision diagnosis and remote diagnosis management project at Zouxian County Power Plant, and completed the power plant side work in early 2013. The precision inspection platform gives play to its role from five levels: first, applying precision diagnosis techniques to make trend warning on the equipment degradation trends; second, guiding elimination of equipment faults to provide technical guidance for maintenance work; third, performing equipment reliability analysis to eradicate equipment fault; fourth, strengthening scientific maintenance of important equipment to extend their service life; fifth, providing scientific basis for equipment lean maintenance to provide decision-making for optimal operation.

At the beginning of 2014, BKC completed the visualized intelligent real-time monitoring system for the shaft system of the visualized gas turbine generator units, integrating visualized monitoring, fault diagnosis, operation guidance and maintenance plan into one platform, the first of its kind, enabling the operation and maintenance personnel, for the first time, to use the perspective angle to observe the internal operating condition of the gas turbine. This platform can make accurate alarm and prevent overspeed of gas turbine, broken shaft of the steam turbine, permanent bending of large bearings, burning of bearing bush, and oil film instability and other malignant accidents and help with optimization of bearing design, valve sequence and opening and operating parameters.

At the end of 2014, we finished the visualized boiler anti-wear and explosion-proof system, which displays the current condition of the boiler in a visualized manner through the full-process control of the boiler anti-wear and explosion-proof work. Real-time data and offline data are used for risk, condition and life evaluation, thereby to make warning on the blocking risk from the oxide skin.

At the beginning of 2015, we completed the visualized large rotating machinery online monitoring and diagnosis system, which tells in real time which device has a problem, which component has a problem and the severity of the problem as well as solutions for such problem through the most accurate data collection and the most accurate diagnosis conclusions.

In October 2016, we finished the visualized underground pipe network system, which covers all the pipes of the whole plant, with a total length of more than 100KM, pipe ditch 27KM, 3300 elbows and more than 980 valve wells. This system is modeled using GIS, 3D laser scanning, and VR technologies and connects both ground and underground equipment. The design and manufacturing information, attribute information, installation and commissioning and real-time process parameters of the underground pipe network, valves, elbows and their connecting equipment are all integrated into the corresponding 3D model. Proactive measures will be taken by data analysis of the pipelines. It functions in the routine maintenance, leak positioning and excavation planning and rehearsal of the underground pipe network, to effectively prevent accidents such as downtime caused by pipe network leakage, and quickly provide support for post-accident treatment plans.