The Zhuhai Green Bamboo Biotechnology project is located in Sanzao Town, Jinwan District, Zhuhai City, with a total investment of approximately 1 billion yuan. The project will be constructed in two phases, with the first phase covering an area of 71560 square meters and completed. The second phase of the plan covers an area of approximately 120000 square meters, with some factory buildings already completed. The project focuses on the research and production of high-end vaccines and biological products, and is committed to building a first-class biopharmaceutical industrialization base.
After BRSE took over the construction general contracting of the Zhuhai Green Bamboo Biotechnology project, it reshaped the engineering general contracting with AI as the core driving force. With the help of image recognition technology, AI can intelligently monitor construction quality throughout the entire period and accurately locate defects; By relying on deep analysis of big data, predict the risks of construction progress nodes in advance; Relying on intelligent algorithms to scientifically allocate resources, reduce costs and expenses, and promote high-quality and efficient construction of projects from multiple dimensions.
AI+construction progress control
AI assists in controlling the construction progress of the Zhuhai Green Bamboo Biotechnology Industrial Park project. Using natural language processing technology to quickly organize construction drawings and documents, accurately extract key information, and assist in planning progress. Simulate different construction scenarios through generative AI to predict potential problems and adjust plans in advance. In addition, with the help of intelligent algorithms, massive historical data can be analyzed to accurately estimate the time consumption of each stage, providing reliable basis for schedule arrangement.
AI+Construction Quality Control
During the project construction process, AI utilizes IoT sensors to collect real-time data on vibration, temperature, and other aspects of construction equipment. Through algorithmic analysis of equipment operation, AI can prevent quality issues caused by equipment failures. By utilizing natural language processing technology, AI can quickly parse massive construction documents, ensuring that all parties accurately grasp quality standards. Simulate different construction scenarios through generative AI, optimize the plan in advance, and reduce quality risks.
AI+construction cost optimization
In the construction of the Zhuhai Green Bamboo Biotechnology Industrial Park project, AI has assisted in cost optimization from various aspects. With the help of historical data and algorithms, AI can accurately estimate costs such as materials and labor, plan budgets reasonably, and reduce the risk of overspending. During construction, based on real-time data, AI intelligently schedules resources to avoid idle waste. By predicting market price fluctuations and locking in low-priced materials in advance, procurement costs have been reduced.
AI+Construction Safety Management
In the construction of the Zhuhai Green Bamboo Biotechnology Industrial Park project, AI provides strong support for safety management. With the help of AI image recognition technology, real-time monitoring captures violations such as not wearing a safety helmet or reflective clothing, and automatic warnings are issued. Drones equipped with AI are used to inspect high-altitude and complex areas, and identify hidden dangers such as missing protective facilities. At the same time, AI analyzes equipment data, predicts faults, and maintains them in advance to ensure comprehensive construction safety.
During the construction of the Zhuhai Green Bamboo Biotechnology Industrial Park project, Jianyan pioneered the use of AI intelligent engineering general contracting service model to improve the quality and efficiency of material management. By deeply mining historical data and combining it with dynamic changes in construction progress, AI accurately predicts material demand, making inventory management more scientific and bidding farewell to the problem of backlog or shortage. At the same time, the deep integration of the Internet of Things and AI enables continuous tracking of material and equipment locations, eliminating the risk of loss. In addition, with the help of AI simulation of different construction plans, the optimal solution for energy conservation and emission reduction is selected by weighing multiple dimensions such as construction period and energy consumption.
