Looking back on the policy, the field of intelligent manufacturing is the main direction of "Made in China 2025", and in the "Thirteenth Five-Year National Science and Technology Innovation Plan", intelligent manufacturing is also a key area. The data shows that in 20 15 years, the output value of intelligent manufacturing in China is about 1 trillion yuan, and it is expected to exceed 3 trillion yuan in 2020, with a compound annual growth rate of about 20%. The establishment of this new area aims to promote the development of intelligent manufacturing.
How?
PHM based on big data, namely fault prediction and health management technology, is one of the key technologies to upgrade the industry from a "manufacturing power" to a "manufacturing power".
In the last decade, the Internet of Things has connected everything. Sensors in Internet of Things devices will generate unprecedented amounts of data, but these data are not well utilized. How to bind big data with intelligent maintenance has become a new challenge.
PHM driven by big data can realize feature extraction, fault early warning, fault pattern mining and matching of operating equipment through intelligent modeling technologies such as machine learning and deep learning on the basis of making full use of massive data of units, so as to predict faults of various objects from key equipment to power grid.
Broadly speaking, in the field of industrial manufacturing and various dynamic or static operating systems such as airplanes, trains, roads and bridges, the health status of equipment can be controlled in real time, accurately and comprehensively by monitoring and analyzing the operating status data of complex equipment and components. If all-round monitoring and early warning can be carried out on the operation of these equipment, accurate analysis and prediction can be made before the equipment fails, and maintenance suggestions can be automatically issued in advance to ensure the safe, reliable and continuous operation of each equipment. This is the equipment health management of industrial big data.
Heavy industry is where PHM comes in?
Especially in heavy industries such as petrochemical industry, metal smelting and equipment manufacturing, the scale of production equipment is huge, which belongs to the field of heavy asset production. Especially for the process manufacturing mode, it is necessary to ensure the continuous operation of the whole production equipment and the safety and reliability of production. Therefore, equipment health management is more important in these fields. It can be said that heavy industry is where PHM plays its role.
It can be imagined that in smart factories, people, machines and resources naturally communicate and cooperate with each other as in social networks, and production equipment and devices can diagnose and maintain themselves; In the process of production and operation, all kinds of equipment and devices will run in the best state and the most efficient way; Before the fault occurs, the system automatically senses, predicts and maintains itself, which greatly meets the needs of customers for cost, efficiency, environmental protection and personalized production.