NEC successfully developed large equipment fault monitoring system using large data analysis technology

Recently, it& Communications, the leading enterprise NEC application of large data analysis technology, successfully developed a "large equipment fault omen monitoring system" can be applied to power stations, factories and other large-scale facilities fault monitoring.

Through this system, the operator can automatically define the sound running state of the equipment from the huge amount of information, through the comparison and analysis with real time data, find out the difference before the equipment failure. Due to the integration of NEC patented sensor information in the system of large data analysis technology--invariant, operators do not need to carry out complex settings and expertise to identify the data in the "different behavior."

To confirm the effectiveness of the system, NEC, in cooperation with the Japan China Electric Power Company, conducted an experiment at the Daogen nuclear power plant, which is owned by the corporation. In the experiment, NEC used this system to analyze the information in the equipment condition monitoring sensor from August 2011 to November 2012, and successfully alerted the current problem event. In the October 2012, the system was simulated in the technical training facility of Daogen nuclear power station, and the system made an early warning to all kinds of equipment faults, and obtained excellent results.

NEC Large equipment Fault omen monitoring system features are as follows:

1, the NEC invariants analysis technique is used to define the normal state of large sensing data in a short time, to shorten the time required for recording, and to combine all the measurement information, to find the subtle changes and the correlation between the data in detail and accurately.

2, combined with various measurement information, to achieve high-precision warning. The system can automatically find the correlation between different sensors, so the vibration, pressure, temperature, acceleration and other measurement data can be combined to achieve accurate detection. And because the sensor category is not restricted, it is not necessary to divide the equipment into different systems. The system can integrate and analyze the data of all equipment while monitoring multiple different types of equipment.

3, using the existing sensor information to improve the fault detection capability. This system makes a comprehensive monitoring of multiple sensing information, defines, resolves and alerts the abnormal state. With the same procedure of the previous skilled technician to confirm the equipment condition, by analyzing the vibration sound of the generator, the shaking of the rotary shaft, the running temperature and so on, the fault can be judged according to the simple critical value, and the prediction ability of discovering fault is greatly improved.

NEC Group launched a "Big Data strategy" in February 2012 to expand its efforts in large data technology, product development, validation testing and proposal activities. At the same time, NEC provides systems to support various social infrastructures from the seabed to the universe by applying ICT solutions of various sensors. The results of the system development, but also its social infrastructure in the field to provide large data-related solutions. In the future, NEC will look to overseas markets and continue to strengthen the development of large data related products, services and solutions to create new value for customers and enterprises.

(Responsible editor: The good of the Legacy)