The construction industry is the industry that needs to be transformed by the Internet most, because it is one of the largest big data industries, but it is also the industry that lacks big data at present.
A few days ago, the State Council issued "Several Opinions on Strengthening the Service and Supervision of Market Subjects by Using Big Data" (hereinafter referred to as "Opinions"), which officially blew the horn of big data application. For the construction industry, which is already in the wave of BIM and internet plus, how to deal with and make good use of massive engineering-related data is the most critical factor to realize information transformation.
Industry big data barriers need to be broken
The opinions put forward that it is necessary to further improve the innovation system, encourage relevant enterprises, universities and scientific research institutions to carry out Industry-University-Research cooperation, promote collaborative innovation of big data, accelerate the breakthrough of big data key technologies such as large-scale data warehouse, non-relational database, data mining, data intelligent analysis and data visualization, and support enterprises and institutions to build big data public service platforms.
The construction industry is the pillar industry in China, and it will produce massive data in the whole life cycle of the building. In 20 14, there were more than 600,000 projects under construction in China, of which the newly started housing area was 654.38+0.8 billion square meters, and each project would involve the constructor, general contractor, subcontractors, material and equipment manufacturers, labor service companies, design institutes, supervisors and government departments. In this process, a large amount of data will be generated. According to public information, the average life cycle of a building generates about 10T data, which is equivalent to 6.3 million copies of A Dream of Red Mansions.
In the view of Li Wang, the person in charge of a state-owned construction enterprise who has been engaged in project management for many years, at present, construction enterprises still lack the effective application of informatization, and cannot manage massive engineering data through traditional methods, so as to realize refined management. The support of management is data, and the foundation of project management is the management of basic engineering data. Timely and accurate acquisition of relevant engineering data is the core competitiveness of project management. The core of big data application and BIM popularization in construction industry is based on the accumulation, storage and management of enterprise core data.
"Now many foreign companies want to enter China to do the informatization of the construction industry. At present, there are few companies that have done a lot of scale and depth in China, but many companies want to make some innovations by using new technological changes such as big data and cloud computing. " Some industry analysts said.
However, Li Wang believes that there are natural barriers to big data mining in the construction industry. "First of all, the data dimension is more complicated. Simply put, there are both building data, such as building cost data, building structure data, building construction technology data, building materials data, and management data; Secondly, China's building regulations and professional requirements are different from those of foreign countries, and the regulations of the construction industry in various provinces and cities are also different. In this case, big data mining in the construction industry has become a high threshold industry. " He said.
Value-added information changes the industry "play"
Although it is difficult to get started, big data has changed the construction industry very much. The Opinions also pointed out that it is necessary to fully understand the importance of using big data to strengthen services and supervision for market players.
Take the traditional engineering cost consulting company as an example. In a company with 100 cost personnel, at least two people will make an inquiry, that is, find the price of materials. The cost of a consultant is about 300 thousand a year, and that of two people is 600 thousand. Judging from the cost of collecting data of material manufacturers, it takes about 140 yuan to collect information of one manufacturer a year. At present, there are about 790,000 domestic building materials manufacturers, and the cost of collecting these 790,000 materials information is very high.
The above is what Bian Xiao shared for you about the big data application horn officially blowing the informationization of the construction industry. For more information, you can pay attention to Global Ivy and share more dry goods.