Gasol or innovation: Big data to reconstruct China's "intellectual"

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From China's manufacturing to China's "intellectual", the national and industrial chain at all levels of people are focusing attention on the scientific and technological innovation level. It has become a baptism that every manufacturing enterprise must accept to forge the Chinese manufacturing industry and find the driving force from the analysis of large data.

Focus on China's dominant manufacturing industry-equipment manufacturing, if the manufacturing system changes in a major change, can automatically identify and find the best operating conditions, equipment failure, changes in raw material characteristics or energy and human costs change, can be estimated ahead of time, then is not forward-looking? According to customer feedback data in various platforms, improve the product details produced by their own enterprises, improve customer satisfaction for large manufacturing products. Large data in China's manufacturing industry, the application of broad prospects, industry exploration, technology in complete, manufacturing large data application of the arrow has been on the string, ready to send.

In China's manufacturing enterprises, although the production of information has become popular situation, but the further excavation of various types of data information, it can be said to be in the slash and burn of the original development stage. Unlike other industries, manufacturing enterprises are relatively traditional and apply large data technology, which needs to be popularized and used by the industry. At present, there are not many analysis of large data in manufacturing enterprises. Especially the quality data that the enterprise has been concerned about all the time. Therefore, how to grasp the sleeping data inside the enterprise, as well as the external data of the broad Internet platform, contains a large amount of business information and value, so as to improve the product quality and reduce the quality cost, it is an important link for the future manufacturing enterprises to apply the big data technology.

In addition, in this process, the management of enterprises in the face of large data thinking mode also needs to be recognized. The way of thinking in the big Data age is: Get up every morning and think about what I can do with so much data, where I can find the value, and find a point where someone else has never been concerned before. The thoughts and ideas after reading the data analysis will be the most important asset to build China's intelligent manufacturing enterprises.

In turn, we will raise a series of questions, for manufacturing enterprises to use large data technology to deal with internal and external data analysis work, can not only be "empty cheque." Large data technology on the Internet platform also needs to be combined with manufacturing itself. Can be tailored to some targeted applications to support manufacturing enterprises, especially from the various types of electronic data analysis, external product evaluation and the use of the point of view, such as the direction of landing. For example, for a product produced by a large manufacturing company, the use of a relatively long period of time, how to tap the Internet platform or mobile platform and other views of the evaluation, use of information feedback data to enable it to produce two of lives, fully explore the data contains great value, the same is to enable enterprises to truly achieve a high level of "manufacturing intelligence" A key step, but also big data in the manufacturing industry a promising step.

Turning to the manufacturing direction in which large Internet data can be reconstructed, automakers are now starting to use internet technology to help engineers achieve rapid detection and bug fixes before new cars are launched, using a range of data, such as test drives and average vehicle failures. So, we see that big data technology is changing the car manufacturing industry in depth. At the same time, large data are also reconstructing the traditional machinery manufacturing industry, and will become a catalyst for future industry change. For example, using Google Glasses, workers ' operational details can be better detected to form data, and as an intangible asset for improving product manufacturing details.

The generation and collection of data does not directly generate services, and the most valuable part is that when the data is collected, it is used for different purposes and the data is reused. We can see that in the Internet large data platform for cross-border marriage, because of data mining and reuse. BMW is joining hands with Baidu's big Data Engine, which allows BMW to adjust its products and services to better suit the needs of its users, under the premise of ensuring user privacy, through more reliable quantitative data. As a traditional luxury car manufacturers, in the interconnection applications, digital services, intelligent technology BMW and Baidu made a lot of attempts. In order to better use the Internet to enhance the user experience, BMW and the Chinese Internet companies to carry out the localization of strategic cooperation to further enhance their own understanding of the Internet and understanding, and in the field of vehicle networking technology in-depth expansion. For example, based on the continuous improvement of user experience and the common concept of deep technology, BMW and Baidu Wireless, lbs and other business departments of scientific research, product development and other fields of cooperation. The strong alliance between the car manufacturers and the internet companies such as Baidu will surely bring more surprises to the future Chinese automobile manufacturing industry, and bring more unique driving experiences to the users. Therefore, the Internet must be to the manufacturing industry, especially the automotive industry to bring changes, using the Internet data analysis, to provide customers with better service and experience, listen to customer feedback voice. No matter how "earth-shattering" the reconstruction of traditional manufacturing from the Internet platform is, it is an enterprise that needs to focus on the customer's product satisfaction from beginning to finish.

The "Informatization and wisdom" of industrial products can not be separated from the participation of large data technology. Large data in the future allows manufacturers to more accurately predict the future from a strategic perspective, in the marketing phase more accurate marketing customer service. It can be said that for the Internet platform for large data analysis applications, the biggest opportunity is not the internet itself, but will be in China's traditional manufacturing. In the future, in the process of developing capital, market and talent management, large data technology from Internet platform can discover and solve the existing invisibility problem, and predict the future state of affairs in advance, so as to let enterprises seize the opportunity of development.

In addition, in the future of large data application manufacturing sector, for example, in the construction machinery industry, many excavators can be installed map positioning system, real-time monitoring of vehicle operation, according to the excavator each month working time, statistics of the work of the year, thus for its manufacturing enterprises to judge the next year's market demand and product improvement measures; The modeling and application development of internet-based cloud service platform may be shortened to two or three weeks.

The blooming of the Internet and rapid development speed, can perfectly meet the dynamic needs of customers. Perhaps more manufacturers in the future will choose to join hands with internet companies to tap into the value of big data technology in these traditional industries. Similar car enterprises, construction machinery industry and the Internet platform in the field of large data application of strong combination mode, will be the Chinese manufacturing industry to bring more forward momentum, but also look forward to the future can have more promising applications.