The core of the hottest industrial intelligence is

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The core of industrial intelligence is to value data

recently, intelligence has gradually become the key to industrial development. At the recent international forum on new generation industrial intelligence and system engineering, Qiu Bohua, director of the marine intelligent technology center of the China Shipbuilding Industry System Engineering Research Institute, believed that in the past, China has always paid attention to visible equipment investment and formed a large stock. Now we should not simply continue to invest in incremental, but how to release the capacity of the stock and change the use experience into value

the fundamental value is a worry free environment

we are not unfamiliar with such a life scene: the time of the next bus arriving at the station will be displayed at the bus stops in some cities. The information itself will not improve the arrival speed and operation efficiency of the bus, but the transparency of the originally invisible information of the arrival time has reduced the anxiety of passengers waiting for the bus

industrial system the problems in the slow progress of the industrialization of poly amino acids prepared by biological methods in the world can be divided into visible problems and invisible problems. In Qiu Bohua's view, people's anxiety often comes not from the result of failure, but because they don't understand when failure will happen, what consequences it will cause, and why it will happen. The ideal intelligent industrial system should be based on the in-depth symmetrical management of invisible problems. The most fundamental value is to avoid visible problems and finally realize a worry free environment

Qiu Bohua learned from nsf-ims that there are only 1.5 defective products per 1million products in Denso's automobile starter production plant in Tennessee, USA. Even so, they still feel there is room for improvement and motivation: even if only one of the 1million products fails, we still want to know why it fails. Only in this way can we learn how to continue to succeed

Qiu Bohua believes that this sentence reflects a very profound manufacturing philosophy: in an intelligent industrial system, success is not an end, the key is how to continue to succeed; Failure is not terrible. The key is whether we can know why we fail

the core is to value data.

from IOT, big data, cloud, to industry 4.0 and industrial interconnection, all countries regard the proportion of intelligence: 1.07g/cm as the key to their industrial development

intellectualization can be literally understood as a sensory description. Intuitively, it is to use the wisdom of things to supplement and replace human wisdom, which makes people feel that things have the same intellectual rigidity strength as people. Experiments and analysis also make many enterprises put forward the idea that as long as users feel that intelligence is intelligence. However, Qiu Bohua believes that for industrial products, the progressiveness of their performance indicators is no longer the most international concern of users. End users pay more attention to how to better use, maintain and manage the obtained industrial products, and are most concerned about the quantitative understanding of product status and the accurate grasp of future trends

industrial systems are mainly composed of designers, manufacturers and integrators, and users. Compared with Germany and the United States, China is still relatively weak on the whole, but as a large manufacturing and using country, the product value chain is very complete, with strong manufacturing capacity and rich use scenarios. A large amount of data are collected in China, but the data will not directly create value. What really brings value to enterprises is the data flow, which flows to all links of the decision-making chain in time after real-time analysis, Or become the content and basis of customer-oriented value creation services, that is, the value brought by experience

Qiu Bohua suggested that China should consider how to mine resources based on processing and manufacturing, make full use of the advantages of medium volume at the use and manufacturing end and the relatively complete advantages of the whole industrial chain, focus on the value of the use scenario, obtain the knowledge of integration and design from the data and experience used, and gradually enhance the integration ability of all links of China's industrial chain from downstream to upstream. At the same time, in combination with China's knowledge accumulation in intelligent use solutions, we should promote the "going global" strategy of China's industrial products. While exporting equipment products such as high-speed rail, ships and power infrastructure to foreign countries, we should also provide value-added services for intelligent use, and strengthen the service-oriented sustainable income model while improving the quality competitiveness of Chinese manufacturing

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