Discussion on the Establishment and Application of Intelligent Design Platform for Concrete Proportioning
摘要
More than 3 billion m3 of ready-mixed concrete was produced nationally in 2021, the largest structural engineering materials for transportation and urban construction. The key to ensuring project quality and cost optimization is the design of the concrete mix ratio. The system shares the massive concrete raw material, mix ratio, compressive strength, and real-time testing data deposited by concrete producers to the cloud (Ali cloud) through the concrete mix ratio intelligent design and sharing platform. It provides real-time feedback to guide the adjustment and optimization of the mix ratio through the machine learning algorithm deployed in the cloud, integrating expert knowledge, deep neural network, and Monte Carlo algorithm. It also carries out 28-day concrete compressive strength prediction. The platform and terminal equipment realize the digitization and sharing of data related to concrete ratio design, which is an important carrier for the industrialization of concrete mix data and is of great significance to cost reduction and efficiency of engineering construction, as well as having great potential commercial value. For the application scenario of slab ballastless track, a test device for intelligent testing of key properties of self-compacting concrete (SCC) is designed and produced, relying on the intelligent design and sharing platform to realize the collection, storage, analysis, and application of SCC data.