Abstract: 【Purpose/significance】In order to reduce the gap between data and knowledge, as well as between management models and application scenarios in safety & security management, we propose a data integration and intelligent computing model for safety & se⁃ curity management.【Method/process】We take the transformation of safety & security management model in big data environment as the starting point, analyze the key issues of collaboration awareness, knowledge base construction, and decision problem solving, and construct a data integration and intelligent computing model for safety & security management.【Result/conclusion】We have con⁃ structed a data integration and intelligent computing model driven by both data and knowledge, achieving comprehensive collaboration and integration of human, machine, and object in safety & security managemen【t Innovation/limitation】This model provides a new idea for the development of safety & security management from data intelligence to perceptual intelligence and then to cognitive intelli⁃ gence in theory. In the future, further empirical research is needed to promote the implementation of data integration and intelligent computing systems for safety & security management.