Huazhuo Jingke Semiconductor Equipment Key Component R&D and Manufacturing Phase II Project is a key project in Beijing, located in the E7M1 plot of Ludong District, Beijing Economic Development Zone. The total construction area is about 68000 square meters, with a contract price of 271 million yuan. It will build production and R&D plants, etc., and will be completed and put into operation in 2024.
After serving as the full process consulting service provider for the Huazhuo Jingke Industrial Park project, our company has taken AI intelligent technology as the core driving force and made every effort to build a smart consulting system that runs through the entire project lifecycle. Through AI enabled deep mining of big data, precise construction of intelligent decision-making models, and efficient operation of real-time dynamic monitoring systems, innovative changes in services have been achieved at every stage from project planning and design to final completion and acceptance. This provides a new model with reference significance for the innovation and upgrading of consulting service models in modern industrial parks.
AI+feasibility study stage
AI plays a key role in the feasibility study of the construction of Huazhuo Jingke Industrial Park project. By utilizing AI big data to analyze market trends and demands, an intelligent decision-making model is used to formulate the optimal plan. A real-time dynamic monitoring system is used to control the construction progress and quality, and the feasibility of technology, funding, manpower, and other aspects is comprehensively evaluated to help efficiently promote the project and improve overall construction effectiveness.
AI+Planning and Design Stage
In the planning and design of Huazhuo Jingke Phase II, AI models are based on massive market data to predict industry development trends and assist in clarifying functional zoning and positioning. By simulating environmental factors such as wind and light, optimizing building orientation and layout, enhancing comfort and energy-saving effects. Intelligent algorithms can also be used to simulate traffic flow lines, ensuring efficient passage of people and vehicles.
AI+construction supervision stage
In the construction supervision stage, AI models use machine learning algorithms based on past project data to predict risks such as cost overruns and equipment failures, and develop contingency plans in advance. With the help of natural language processing technology, AI can accurately extract key information from massive contracts and drawings, assisting supervisors in quickly reviewing proposals. Moreover, it can optimize the allocation of supervision resources through intelligent algorithms, improving regulatory efficiency.
AI+cost estimation stage
In the cost stage, automatically identify drawing information, quickly and accurately calculate the engineering quantity, and avoid manual errors. Digging deep into massive historical data, combined with market dynamics,predicts material pricesand labor cost trends, helping to accurately estimate costs. At the same time, real-time monitoring of costs, timely warning of deviations, providing optimization strategies, and ensuring efficient utilization of project funds in all aspects.
BRSE has innovatively introduced an AI intelligent consulting service model, relying on cutting-edge technology to deeply explore needs, efficiently integrate resources, and customize exclusive solutions for the Huazhuo Jingke Industrial Park project. During the project promotion period, with a keen response mechanism and in-depth analytical ability, the innovative model quickly resolved the difficulties faced by the owners, and achieved outstanding results, winning high praise and recognition from the owners.
