Ensuring food safety and operational transparency in school canteens is crucial for student health and public trust. This paper presents an intelligent supervision platform designed for comprehensive digital oversight of primary and secondary school canteens in Hubei Province. Integrating food management, consumption, and financial systems, the platform enables real-time data collection, preprocessing, visualization, and risk detection. It employs a hierarchical anomaly detection model library based on regulatory definitions to identify potential violations, such as irregular procurement patterns and financial discrepancies. Deployed across more than 6,085 schools, the platform processed over 12.8 million procurement orders and 54.7 billion consumption transactions within six months, significantly reducing micro-corruption incidents. The results demonstrate that the proposed system provides scalable, data-driven governance with high responsiveness and regulatory effectiveness, offering a replicable framework for school canteen supervision in educational institutions.

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An Intelligent Supervision Platform for School Canteens: Safeguarding Student Food Quality

  • Zhe Li,
  • Xiao Jing,
  • Zhiang Wu

摘要

Ensuring food safety and operational transparency in school canteens is crucial for student health and public trust. This paper presents an intelligent supervision platform designed for comprehensive digital oversight of primary and secondary school canteens in Hubei Province. Integrating food management, consumption, and financial systems, the platform enables real-time data collection, preprocessing, visualization, and risk detection. It employs a hierarchical anomaly detection model library based on regulatory definitions to identify potential violations, such as irregular procurement patterns and financial discrepancies. Deployed across more than 6,085 schools, the platform processed over 12.8 million procurement orders and 54.7 billion consumption transactions within six months, significantly reducing micro-corruption incidents. The results demonstrate that the proposed system provides scalable, data-driven governance with high responsiveness and regulatory effectiveness, offering a replicable framework for school canteen supervision in educational institutions.