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The so-called big data refers to the huge amount of data involved to be unable to pass through the existing physical measurement software and reach the conclusion that the collection, management and sorting out more valuable and meaningful in a reasonable time. The data is all-inclusive and includes not only the information people have published on the Internet. There are countless sensors on industrial equipment, automobiles, and electric meters all over the world. They measure and transmit positions, movements, vibrations, temperatures, humidity, and even chemicals in the air at any time. Changes have also produced vast amounts of data information.
Therefore, big data is also known as another disruptive change in the field of information technology following cloud computing and the Internet of Things.
From the daily life of watches, water meters, electrical instruments to the scientific research field of spectrum analyzers, gravity sensors, instruments and meters as the soul of mechanical equipment, instrumentation is the essence of data acquisition tools, known as the big data collector "Naturally has a huge amount of "big data." However, the strategic significance of big data technology lies not in the mastery of huge data information, but in the specialized processing of these meaningful data, and the “value added†of data through “processingâ€. Big data has become a source of new inventions and new services.
The emergence of big data platforms has enabled instrument and meter companies to realize that mastering this set of acquired data can do more things, such as intelligentizing in the field of eco-environment monitoring. In July of this year, the General Office of the State Council issued the "Eco-environmental Monitoring Network Construction Plan" and established a clear action plan for the construction of China's eco-environmental monitoring network. Vice Minister of Environmental Protection Min Qing proposed that the improvement of the ecological environment monitoring network requires data sharing and sharing. Supported by big data platforms, through the establishment of environmental protection big data centers, relying on the massive data storage and ultra-efficient processing capabilities of big data, integrating the scattered data within relevant departments to form a huge data center system, and providing data for decision-making, management, and law enforcement of ecological environmental protection stand by.
It is reported that the environmental protection departments and monitoring centers of all provinces and cities have fully started the construction plan for the monitoring network. For example, the Guangdong Provincial Environmental Monitoring Center has already updated the big data center into the key work content in the 2015 latest work plan, and here Based on the unified integration of all business systems and data sharing.
In addition, more and more instrument and meter companies are beginning to embark on the road to transformation and upgrading of the integration process. They are no longer satisfied merely with products for measurement, but are also upgraded to complete solutions, making use of the convenience of their own data collection. Grasp the needs of users, thus providing a more comprehensive, comprehensive, and time-efficient services, and promote enterprise innovation and product promotion.
This new trend of change is also affecting new product and service design concepts and the design process itself. In order to further grasp more comprehensive service information and seize the needs of users, future instrumentation products will be integrated into the data service interface in the traditional design, creating new products that are more suitable for more modern features. Big data will create an unprecedented quantifiable dimension for human life. It is believed that more changes will be gaining momentum.
Today, an era of mass production, sharing and application of data is starting. As Professor "Victor of the era of big data" said, the real value of big data is like an iceberg floating in the ocean. At first glance, only the tip of the iceberg can be seen. Most of it is hidden under the surface. The strategic significance of big data technology lies not in mastering huge data information, but in the specialized processing of these meaningful data, and the “value added†of data through “processingâ€.
The Minister of Industry and Information Technology of Miao Miao explained that China's manufacturing industry has become stronger and stronger, saying that the current focus is to promote the deepening of the Internet in the manufacturing sector, actively develop new manufacturing models such as cloud manufacturing based on the Internet, and nurture new applications for the industrial Internet. Batch industrial cloud services and industrial big data platforms. In the future, whether it is German Industry 4.0 or “Made in China 2025â€, industrial big data analysis is the foundation of intelligent manufacturing and an important direction supporting future intelligent manufacturing.
[China Instrument Network Industry Focus] If you want to ask what special "festival" is in November, you may immediately think of "double 11". Every year this year is the carnival of the "hand-out party" and the backing of the express delivery industry is even more likely to rely on big data technology this year to reduce the number of accidents that have occurred in the past. After the Ministry of Industry and Information Technology released the "Internet +" action strategy, the next-generation information technology such as Big Data is widely used in traditional industries. In fact, as the gathering and high-tech instrumentation, it is also inextricably linked with Big Data.