The Zhongjin Cloud Data Center is located in the Beijing Economic and Technological Development Zone and is operated by Zhongjin Cloud Network, a subsidiary of Halo New Network. The park covers an area of approximately 67000 square meters and has a construction area of approximately 105000 square meters, including two computer room buildings and supporting facilities. Built to high-level standards, with an availability of 99.995%, serving numerous clients in the financial and other fields.
After BRSE undertook the general contracting of Zhongjin Cloud Data Center construction, it deeply integrated AI technology to innovate the operation mode. Relying on image recognition system, AI realizes dynamic inspection of construction quality and accurately locates defects; By modeling and analyzing big data, potential bottlenecks in construction progress can be predicted and risks can be warned in a timely manner; Using intelligent algorithms to optimize human and material allocation, effectively control costs, and inject intelligent momentum into the entire project process management.
AI+construction progress control
In the Zhongjin Cloud Data Center project, AI associates information from various construction stages, such as material characteristics, process standards, etc., through aknowledge graphto assist in progress control. When construction encounters problems, AI quickly matches similar cases based on the graph, provides solutions, and avoids delays. In addition, using natural language processing technology, AI efficiently interprets massive construction documents, accurately extracts key time nodes, and assists in schedule planning.
AI+Construction Quality Control
In the construction quality control of the Zhongjin Cloud data center project, AI utilizes natural language processing technology to quickly sort out massive construction specifications and drawings, accurately extract key quality standards, and ensure personnel have precise grasp. By utilizing theknowledge graph, knowledge of building material characteristics, construction processes, and other related aspects can be linked to intelligently push similar cases and solutions for quality inspectors, assisting in the diagnosis of quality issues.
AI+construction cost optimization
During the project, AI provides multi-dimensional assistance to optimize the construction cost of the Zhongjin Cloud data center project. With the help of smart contracts, payment and acceptance processes can be automatically executed, reducing manual intervention and lowering contract management costs. Using natural language processing technology to quickly interpret drawings and avoid rework caused by misunderstandings. By simulating construction scenarios, design defects can be detected in advance to avoid additional expenses caused by changes during construction.
AI+Construction Safety Management
In the construction of the Zhongjin Cloud data center project, AI injects powerful power into security management. With the help of AI image recognition technology, monitoring devices can capture unsafe behaviors such as workers not wearing safety helmets and violating regulations in real time, and immediately issue automatic warnings; Drone+AI; Can conduct high-altitude inspections of complex construction areas, identify hidden dangers such as missing protective facilities and unstable scaffolding. AI can also analyze equipment operation data, predict faults in advance, and prevent them in advance, ensuring comprehensive construction safety.
BRSE injects new vitality into the material management of the Zhongjin Cloud Data Center project with its innovative AI intelligent engineering general contracting service model. AI deeply analyzes historical usage and construction progress, accurately predicts material demand, and ensures stable supply. At the same time, the Internet of Things and AI collaborate to track the real-time location of materials and equipment, eliminating the risk of loss. And through AI simulation of construction plans, the optimal solution is selected based on factors such as energy consumption and construction period, to assist in energy conservation and emission reduction.
