How the Construction Industry is Using Big Data

In the article, I have learned that big data has applied on designing, building and operating. As construction projects become more complex, big data may soon become the most important tool at a construction company’s disposal. In order to effectively use all the data being collected, it need to have the right systems and software solutions in place. In term of designing, big data, including building design and modeling itself, environmental data, stakeholder input, and social media discussions, can be used to determine not only what to build, but also where to build it. As the article had mentioned, Brown University in Rhode Island, US had used big data analysis to decide where to build its new engineering facility for optimal student and university benefit. Besides, the building, big data from weather, traffic, and community and business activity can be analyzed to determine optimal phasing of construction activities. Sensor input from machines used on sites to show active and idle time can be processed to draw conclusions about the best mix of buying and leasing such equipment, and how to use fuel most efficiently to lower costs and ecological impact. Last, the operating, big data from sensors built into buildings, bridges and any other construction makes it possible to monitor each one at many levels of performance. Energy conservation in malls, office blocks and other buildings can be tracked to ensure it conforms to design goals. Traffic stress information and levels of flexing in bridges can be recorded to detect any out of bounds events. To sum up, big data can be used to help construction companies make better business decisions. The right data tools and the right people can bring new and better insight to projects. It also means that construction companies can make more information-driven decisions.

Comments

  1. Paul LiJune 26, 2020 at 8:37 AM

    This article really highlights the importance of big data and shows why currently big data which is itself is Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. When we handle big data, we may not sample but simply observe and track what happens. Therefore, big data often includes data with sizes that exceed the capacity of traditional software to process within an acceptable time and value and i really that articles like this highlight the usefulness and endless possibilities that big data provide, not only in this day and age but for the future as well.

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