The smart construction site cloud platform is an integrated information management platform specially designed for the construction field. Through high-tech means such as big data, cloud computing, artificial intelligence, BIM, Internet of Things, and mobile Internet, the data of various systems in the construction area are aggregated to establish a visualized digital construction site. At the same time, it provides functions such as data analysis, auxiliary decision-making, and remote command around key factors such as people, machines, materials, methods, and the environment, completely changing the interaction, working, and management modes of traditional construction site management. Improve work efficiency and promote the development of industrial informatization.
1. Technical framework of smart construction site:
Multi-terminal adaptation: PC monitoring terminal, PC project terminal, APP, small program, and visualized large-screen terminal.
Technical Architecture: Microservices
Development language: Java
Development tools: Idea
Front-end framework: Vue
Backend framework: Spring Cloud
Database: MySql
Mobile terminal: UniApp
2. BIM technology is a digital tool applied to engineering design and construction management. It integrates relevant information of various projects through parameter models, and shares and transmits them in the whole life cycle of project planning, operation and maintenance, so that engineering technology Personnel can correctly understand and efficiently respond to various building information, provide a basis for collaborative work for the design team and all construction entities including the construction operation unit, and play an important role in improving production efficiency, saving costs and shortening the construction period. The full English name of BIM is Building Information Modeling, and the more consistent Chinese translation in China is: Building Information Modeling.
Artificial intelligence (AI) and machine learning technology, and BIM technology play an important role in smart construction sites. By analyzing vast amounts of data and historical records, AI can predict construction progress, optimize resource allocation, and provide real-time decision support.
3. Application of artificial intelligence
Construction progress prediction: By analyzing historical data, current construction conditions and external factors, AI can predict construction progress and identify potential delays in advance. This helps managers make timely decisions and adjustments to ensure projects are completed on time.
Resource optimization and allocation: Artificial intelligence can optimize the allocation and utilization of resources by analyzing historical data and real-time construction conditions. For example, based on construction schedules and needs, AI can automatically adjust the supply of materials and equipment to avoid resource waste and delays.
Real-time decision support: By monitoring and analyzing real-time data on the construction site, artificial intelligence can provide real-time decision support. For example, when encountering problems or emergencies, artificial intelligence can analyze data and provide corresponding solutions to help managers make accurate decisions.
4. Application of machine learning
Quality Control: By analyzing historical data and real-time monitoring, machine learning can help detect and predict quality issues during construction. For example, by learning from existing data, machine learning models can identify common quality defects and issue early alerts.
Fault detection and maintenance: Machine learning can detect equipment failure signs in advance by analyzing equipment sensor data, and perform corresponding repairs and maintenance. This helps reduce downtime and cost lost due to equipment failure.
Construction optimization: By learning data and historical records in the construction process, machine learning models can find the best construction plan and process to improve construction efficiency and quality. Models can automatically learn and adjust to suit different construction environments and project requirements.
Machine learning can be used for quality control, fault detection and repair, and construction optimization. However, to realize the full potential of artificial intelligence and machine learning, we need to address challenges such as data quality, algorithm choice, and data privacy. Through continuous research and innovation, it is believed that artificial intelligence and machine learning will further promote the development of smart construction sites and bring a more efficient and sustainable future to the construction industry.
5. The integration of smart construction site and BIM technology
The smart construction site can collect real-time engineering data through sensors, cameras and other equipment, and connect it with the BIM model. In this way, the BIM model can be updated in real time at the construction site, so that the progress of the project can be fed back and updated in time, and the control and coordination ability of the construction process can be improved.
BIM technology can provide powerful prediction, simulation and management functions for smart construction sites. Through the BIM model, it is possible to simulate and predict project progress, construction schedule advancement, resource utilization, conflict detection, etc., and provide data support for decision-making on smart construction sites. At the same time, the construction site data can also be associated with the BIM model to form a "digital twin", which facilitates the full life cycle management of the construction site.
The integration of smart construction site and BIM technology can promote the digital transformation of the construction site. Through real-time information transmission and sharing, real-time monitoring and control of the construction process can be realized, and delays and inaccuracies in information transmission can be avoided. Moreover, the combination of smart construction sites and BIM technology can also help improve construction quality and safety, and enable better construction schedule and resource management.