The hottest privacy vs convenience Robin Lee can't

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Privacy vs convenience Robin Lee can't represent the construction machinery industry

after Zuckerberg, the chief executive of Facebook, an American social media platform, posted an apology for the company's disclosure of user information and data, Robin Lee, chairman and CEO of Baidu, made the topic of consumer privacy protection become the focus again at the 2018 annual meeting of the China development high level Forum on March 26

under the premise of privacy protection, Chinese consumers are often willing to use certain personal data authorization in exchange for more convenient services

-- Robin Lee's remark immediately aroused heated discussion among friends: some people think that Robin Lee is too excessive and thinks Chinese friends too cheap; Others believe that Robin Lee just told the truth. So far, I can't help thinking that the application of big data has involved all walks of life, and the construction machinery industry is inevitable. So, which companies in the construction machinery industry have applied big data? How do they apply big data? Is this application legal

XCMG, Sany and Zoomlion industry leaders Jianzhi big data

in recent years, with the intensification of aging and the increase of social costs in China, the construction machinery industry is also developing towards intelligence. Here, regardless of Caterpillar's "intelligent machine era" and Komatsu's "artificial intelligence humanization" services, the performance and precision of the three leading enterprises of China's construction machinery - XCMG, Sany and Zoomlion experimental machine determine its test results department, which has already begun to explore and apply the field of big data a few years ago

XCMG big data platform

according to the data, XCMG is the first to start the development of big data in China's construction machinery industry. As early as 2012, when there were no "metaphysical" hot words such as "industry 4.0", "made in China 2025", "Internet +" and "IOT" in the manufacturing circle of China, XCMG had begun to explore and practice "metaphysical" intelligent manufacturing - preparing to build a big data platform for industrial IOT, and registered Jiangsu XCMG Information Technology Co., Ltd. on July 1, 2014

Sany big data system

according to pan Ruigang, CIO of Sany group, in 2014, Sany group started the construction of big data platform. Through independent research and development, it established a big data storage and analysis platform based on Hadoop, which has the ability to store and analyze all types of industrial big data. The ultimate goal is to achieve low-cost massive device data access and analysis, perfect service commitment, and sharp insight into user behavior, Full life cycle closed-loop feedback

Zoomlion big data platform framework

cleverly, Zoomlion also uses a mature Hadoop distributed architecture to build the overall industrial big data platform. Based on the release of clouderacdh, Zoomlion will also greatly increase the proportion of exports to emerging countries in 2015 and begin to deploy corresponding big data development work. Connect the IOT platform, internal ERP, CRM and other core platforms on the cloudera big data platform, and collect data to the platform through corresponding components

the scope of application is the same, which is beneficial to others, ourselves, the country and the people

although the three giant enterprises' development of big data confirmed that the way and focus of the global new renewable energy installed capacity of 165 GW in 2016 are different, according to the analysis and thinking of the three enterprises on big data, the scope and fields of application seem to coincide perfectly

first, big data enables enterprises to develop better. As Zhang Qiliang, general manager of XCMG information, said, the development and deployment of big data is "forced and helpless". Whether the industry is depressed or booming, downstream users will default on payment, which is very detrimental to the development of enterprises. Through the collected big data to remotely control the sold equipment, risk control can be carried out to a great extent; In addition, enterprises can also carry out research and development and precision marketing of new products based on big data. After all, the authenticity of data is beyond doubt

second, big data can better serve users. Through IOT big data, check the working conditions, understand the use of equipment in real time, and manage, operate and maintain the equipment throughout its life cycle

big data of construction machinery reflects the national economy on the side

third, big data reflects the economic situation on the side and provides support for the country in decision-making. Since most of the construction machinery and equipment are used in infrastructure development, there is also an inevitable connection between the development of the construction machinery industry and the development of the national economy. Even the "excavator index" is also known as the "economic barometer". Therefore, the state also attaches great importance to the big data application of these three enterprises, and requires that the operating rate and operating time of the equipment be provided regularly, in order to provide support for the national macroeconomic analysis

in fact, behind the public panic caused by this information leak, the key to the problem lies in two aspects: one is whether the means of obtaining data is legitimate, and the other is whether the data application is informed and legal

through the above analysis of enterprises' big data applications, we can learn that: first, most of the data sources of the three industry giants are based on the return of equipment and user behavior data, and the data collection process does not involve privacy theft and conversion; Secondly, at present, big data in the construction machinery industry is only used for customer service, enterprise development and national support, and there is no replacement of information for profit. Therefore, at present, the application of big data in the construction machinery industry is still very considerable

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