This invention discloses an intelligent
system for generating and verifying benchmark concrete mix proportions, belonging to the field of concrete technology. It includes a parameter input and management module, an AI benchmark
mix proportion calculation module, a trial mixing
verification and data feedback module, and a
mix proportion optimization and production
application module. The parameter input and management module includes a design target parameter input module, a
raw material parameter input module, and a parameter
verification and storage module. This intelligent
system for generating and verifying benchmark concrete mix proportions allows technicians to input concrete design targets and
raw material parameters, then access a historical
mix proportion database. A neural network
algorithm is used to match similar projects and calculate the benchmark usage of each
raw material. After laboratory trial mixing tests to assess workability and mechanical properties and receiving feedback data, the AI automatically adjusts the parameters to generate the final mix proportion. This enables one-click production by linking the mixing
plant, overcoming the pain points of traditional trial mixing methods that rely on experience and have long cycles, significantly improving the accuracy of mix proportion
adaptation and reducing the number of trials.