Abstract: In order to leverage computer software to support automatic-warning against and intelligent decision-making on risks associated with food safety, the quantitative algorithms for food safety information risk and the implementation using computer software were studied. Based on test data and other regulatory information, a data model being categorized into 5 levels to address the possible risks associated with food safety was put forward. Integrating the instance of milk inspection, the key steps and technology using the data model to realize computer programming. It is proved that the operability and scientificity of the software, which generates early warnings against different food safety events and can ensure the systemic and consistency of early warnings.