Big Data Application Horn Officially Blows Construction Industry Informatization__Data Analyst Exam

The construction industry is the industry most in need of being transformed by the Internet, as it is one of the largest big data industries, yet it is also the industry that currently lacks the most big data.

A few days ago, the State Council issued "a number of opinions on the use of big data to strengthen the service and supervision of market players" (hereinafter referred to as "Opinions"), officially blowing the horn of big data application. For the construction industry, which is already in the wave of BIM and "Internet +", how to handle and make good use of the huge amount of engineering-related data is the most critical factor in realizing the transformation of information technology.

Industry big data barriers to be broken

"Opinions" put forward to further improve the innovation system, encourage relevant enterprises, universities and research institutions to carry out cooperation between industry, academia and research institutions, to promote collaborative integration and innovation of big data, to accelerate breakthroughs in large-scale data warehouses, non-relational databases, data mining, intelligent analysis of data, data visualization and other key **** of big data technology to support enterprises and institutions to carry out big data public **** of big data. Units to carry out big data public **** technical service platform construction.

The construction industry is China's pillar industry, the construction of the whole life cycle will produce massive amounts of data. 2014, China's projects under construction amounted to more than 600,000, of which 1.8 billion square meters of new housing construction area, and each project will involve the construction side, general contractors, subcontractors, material and equipment manufacturers, labor companies, design institutes, supervisors, government departments, etc., in the process of which a large amount of data will be produced. The process will generate a large amount of data. Some public information shows that on average, each building life cycle generates about 10T level data, which is equivalent to 6.3 million "Dream of the Red Chamber".

In the view of Wang Li, a person in charge of a state-owned construction enterprise who has been engaged in engineering project management for many years, at this stage, construction enterprises still lack the effective application of information technology, and are unable to manage the massive amount of engineering data through traditional methods, so as to realize refined management. The support of management is data, the basis of project management is the management of basic engineering data, timely and accurate access to relevant engineering data is the core competitiveness of project management. The core of big data application and BIM popularization in the construction industry is based on the accumulation, storage and management of enterprise core data.

"Now many foreign companies want to enter the country to do information technology in the construction industry, and at present there are fewer domestic companies that have done a very large-scale and in-depth, but many companies want to take advantage of the opportunity of these new technological changes in big data and cloud computing to try to do some innovation." An industry analyst said.

However, Wang Li analyzed that there are natural industry barriers for big data mining in the construction industry. "First of all, the data dimension is more complex, in simple terms, there are both construction data, such as building cost data, building structure data, building construction process data, building materials data, but also management data; secondly, China's construction laws and regulations and requirements for professionalism are different from foreign countries, and laws and regulations for the construction industry in all provinces and cities are different. In this case, big data mining in the construction industry has become a high threshold industry." He said.

Value-added information to change the industry "play"

While it is difficult to get started, big data has changed the construction industry very much. The Opinion also points out that it is important to fully understand the importance of using big data to strengthen the service and supervision of market players.

Taking a traditional engineering cost consulting company as an example, a company with 100 costing staff will have at least two people specializing in RFQs, or finding material prices, and the annual cost of a consultant is about 300,000 yuan, or 600,000 yuan for two people. In terms of the cost of collecting data on material manufacturers, it costs about $140 a year to collect information on one manufacturer, and there are about 790,000 construction material manufacturers in China.

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