Big data is breaking into people's horizons with a revolutionary storm. Its technology and market are developing rapidly, and the voice of driving big data is surging. Some people say that China's big data industry is suspected of "overheating". Some people think that big data investment is at the time, so in the face of the current domestic big data industry, should entrepreneurs should invest?
Big data industry is advancing with rapid development of corporate investment
In reality, data transactions have gradually begun to practice. On April 14, last year, Guiyang Big Data Exchange officially listed and completed the first batch of big data transactions. This is the first exchange in the country to be named after big data. According to Xinhuanet, as of the end of 2015, the transaction volume of Guiyang Big Data Exchange has exceeded 60 million yuan, the number of members exceeds 300, and more than 100 data source companies have been connected. The total amount of data exceeds 10PB, and actual transactions have taken place. More than 70 members.
The emergence of hot words such as Industry 4.0 and Made in China 2025 has stirred up the imagination and inconsistency of big data. Digital design, digital factories, digital manufacturing and so on, it is inevitable to create a warm illusion: industrial big data everywhere. Some paradoxes even assert that China has the world's largest industrial big data – probably because China has the most equipment and factory sites. However, the data site is far from the place of industrial big data.
Does China really have industrial big data? The fact is not that the Guiyang Big Data Center is based on government-led data, which is basically urban data, government data, logistics data, etc.; and Alibaba Cloud is based on consumer data, more than a decade of Taobao history, precipitation A large amount of user behavior data.
However, for those devices that stay up all night, industrial data is still dark and black coal. For the Chinese manufacturing industry, a little bit of light or flashing is far from the era of large-scale illuminating and heating. More important things need to be prioritized in the industrial field.
The relationship between data, information, and knowledge is sometimes confusing. Generally speaking, data is unorganized at first, and exists in abundance but has very low value; the underlying data needs to be transformed into a knowledge system through informationization and industrialization. From data to information, it is itself a filtering mechanism - this requires a refinement, and then executable, transferable information to form knowledge. Knowledge is divided into recessive and explicit, and tacit knowledge often exists in the person itself, and the transitivity is very poor.
The data is iterative, the algorithm is iterative, and the product service is iterative. There are different versions of the data and different versions of the algorithm. We need to find the best algorithm in the best context and the best service to achieve the best service. For enterprises, big data needs to be turned into the insight and action of the enterprise. Ten years ago, business decisions were driven by experience, using data to prove that their judgments were correct. Data-driven, you have to have enough data to find something that you haven't seen before.
At present, the booming demand for big data technology and applications, and the revolutionary challenges posed by open source technologies, all IT vendors need to face the same face, which virtually shortens the gap between each other, which means that domestic enterprises are There are huge opportunities in the development of big data market! Big data is destined to bring about a revolution, which will be a change in worldview for society, companies and individuals.
Big data industry is advancing with rapid development of corporate investment
In reality, data transactions have gradually begun to practice. On April 14, last year, Guiyang Big Data Exchange officially listed and completed the first batch of big data transactions. This is the first exchange in the country to be named after big data. According to Xinhuanet, as of the end of 2015, the transaction volume of Guiyang Big Data Exchange has exceeded 60 million yuan, the number of members exceeds 300, and more than 100 data source companies have been connected. The total amount of data exceeds 10PB, and actual transactions have taken place. More than 70 members.
The emergence of hot words such as Industry 4.0 and Made in China 2025 has stirred up the imagination and inconsistency of big data. Digital design, digital factories, digital manufacturing and so on, it is inevitable to create a warm illusion: industrial big data everywhere. Some paradoxes even assert that China has the world's largest industrial big data – probably because China has the most equipment and factory sites. However, the data site is far from the place of industrial big data.
Does China really have industrial big data? The fact is not that the Guiyang Big Data Center is based on government-led data, which is basically urban data, government data, logistics data, etc.; and Alibaba Cloud is based on consumer data, more than a decade of Taobao history, precipitation A large amount of user behavior data.
However, for those devices that stay up all night, industrial data is still dark and black coal. For the Chinese manufacturing industry, a little bit of light or flashing is far from the era of large-scale illuminating and heating. More important things need to be prioritized in the industrial field.
The data is iterative, the algorithm is iterative, and the product service is iterative. There are different versions of the data and different versions of the algorithm. We need to find the best algorithm in the best context and the best service to achieve the best service. For enterprises, big data needs to be turned into the insight and action of the enterprise. Ten years ago, business decisions were driven by experience, using data to prove that their judgments were correct. Data-driven, you have to have enough data to find something that you haven't seen before.
At present, the booming demand for big data technology and applications, and the revolutionary challenges posed by open source technologies, all IT vendors need to face the same face, which virtually shortens the gap between each other, which means that domestic enterprises are There are huge opportunities in the development of big data market! Big data is destined to bring about a revolution, which will be a change in worldview for society, companies and individuals.
CSRME safety controller is developed for standard GB27607. By monitoring machine tool safety related equipment, the security of machine control system can meet the requirements of GB27607, and its security meets the requirements of ISO13849-1 (PLe) and IEC61508 (SIL3).
With rich interfaces, CSRME has limited programmable function. It can simultaneously replace many different types of safety control modules or safety PLCs, thus greatly simplifying the safety design of machine control systems and reducing cost.
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