Smart disk monitoring is an industrial app aimed at factory operators, driven by data and models to achieve machine monitoring and intelligent warning. With the expansion of factories in the heavy asset process industry, the technical requirements for operation, maintenance, and fault handling of unit equipment are becoming increasingly high. Traditional manual monitoring has a large workload and is prone to negligence and errors. Smart monitoring is an important link to ensure the safe operation of equipment, which can detect abnormalities before, more than, and accurately exceed people, and real-time push potential warning risks and optimization guidance, Convenient for operators to make maintenance optimization decisions in the first time. Abnormality does not represent a fault, it is likely caused by improper operation or untimely adjustment by the operating personnel. Long term failure to handle it may lead to a fault. Intelligent disk monitoring can detect system parameters as soon as they are abnormal, and alert operators to adjust and eliminate abnormalities in a timely manner, nip equipment failures in the bud.
图 一个平台、五个中心，实现监盘智能化
Project icon 20. Efficient management of massive real-time data in png: modeling, analysis, and real-time supervision of the entire plant, unit, profession, system, equipment, and parameters to ensure the safe operation of equipment;
Project icon 20. PNG abnormal/fault alarms are fast and accurate: mechanism modeling+AI modeling+expert knowledge base in one, with platform integration of operating procedures and expert experience to ensure the accuracy of the model and the timeliness of alarms;
Project Icon 20. png is equipped with a comprehensive monitoring model library: accumulating 80+parameter prediction models, 100+fault diagnosis models, and 50+big data AI models, covering 3 major disciplines of steam turbine, boiler, and electrical, and 40+systems;
Project icon 20. png zero code modeling, achieving expert knowledge accumulation, upgrading, and inheritance on the platform: Power plant experts can achieve model building, upgrading, and inheritance of alarm business logic through "drag and drop" methods, reducing development barriers.
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