TVME200-10 When IT comes to intelligent operation and maintenance, many people will first think of the application of this technology in the IT and Internet fields. After the evolution and development in recent years, intelligent operation and maintenance has gradually formed a mature and perfect AIOps theory and architecture, and has increasingly shown great value in practical applications. From the annual Double 11 shopping “building contest”, the Spring Festival “grab red envelope” and other online activities involving a large number of users, to the large-scale outbreak of online business promoted by the new coronavirus epidemic this year, people have become accustomed to and enjoy online work and entertainment mode. But behind the success of every online business, there is the credit of intelligent operation and maintenance technology. It can not only provide operational support for large-scale online activities with the participation of a large number of users, but also enable Internet systems with high requirements for reliability and continuity such as finance, e-commerce, online car booking, and social platforms to operate efficiently and stably.
TVME200-10 The successful application of intelligent operation and maintenance technology in the Internet field not only confirms the feasibility of this technology, but also makes people begin to further think about its development potential in a broader field. For example, the manufacturing industry, which is crucial to the national economy, can also use the technical system of intelligent operation and maintenance to achieve transformation and improvement? The answer is yes.
IT system equipment is connected digital equipment, and the requirements for standardization, concentration and stability are generally high. Although compared with this, most manufacturing industries, especially discrete manufacturing industries, do not have as high a requirement for maintenance and time response as large IT service systems, no downtime, no maintenance, and less failure are also the dream picture for manufacturing industries. Therefore, the demand for intelligent operation and maintenance in the manufacturing industry is becoming more and more urgent as competition intensifies.
TVME200-10 The traditional manufacturing system consists of a large number of decentralized, isolated and diversified non-target production system equipment, so it is very difficult and challenging to achieve intelligent operation and maintenance. However, with the development and empowerment of digital and connected enterprise technologies in recent years, intelligent operation and maintenance in the manufacturing industry has become possible. Especially in the spring of 2020, with the spread of the novel coronavirus epidemic in China and even the world, a large number of people were isolated and traffic was limited, and these sudden shocks made many enterprises unable to operate normally and supply chains were broken, causing huge losses. Inspired by this painful experience, people once again focus on the intelligent operation and remote maintenance of the manufacturing industry.
TVME200-10 For the manufacturing industry, intelligent manufacturing has been a hot topic in the past few years, and intelligent operation and maintenance is a form of intelligent manufacturing, which turns intelligent manufacturing from a concept into a more concrete goal. When the methodology of intelligent manufacturing is implemented, the pace of intelligent operation and maintenance applications can be strided forward.
Of course, we should also recognize that intelligent operations is not a goal that can be achieved overnight. The transformation and upgrading of the company structure, production organization and production equipment through digitalization, networking and intelligence is the prerequisite and necessary step for enterprises to truly realize intelligent operation and maintenance.
Digitalization of intelligent operation and maintenance
TVME200-10 The most important foundation of intelligent operations is digitalization, because digitalization allows people to obtain real-time, rich data. The value of isolated data is limited to the physical meaning of the data source it represents, but the process by which the data is transmitted, shared, and integrated with other data for use can generate exponential value gains. Data plus algorithms can produce intelligent applications.
For the intelligent operation and maintenance of the manufacturing industry, the first step of urgency is to accurately understand the actual status of each link and location of the enterprise, and only the machine, production line and workshop operations are clear at a glance, in order to make timely adjustments according to needs. In the traditional production mode, even if the staff is in the workshop site, because the data is not visible, many times even if people are on the site, they can not understand the health of the machine, and some unplanned downtime and the resulting production disruption are often unavoidable.
However, once intelligent operation and maintenance is realized, production managers can immediately know production progress, material loss, machine OEE indicators and product quality through digital means, whether on-site or remote, and even can be linked to customer orders, material supply, price fluctuations and delivery schedule information. All of this benefits from the digital infrastructure of equipment, process and production management systems, and enterprise business systems. The interconnectivity after digitalization has further enhanced people’s ability to fully utilize and mine the value of data.