Purify-Enterprise-Ultimate: A Multi-modal Fusion and High-Dimensional Vector Indexing Framework for Automated Radioactive Contamination Remediation

Abstract

This research presents "Purify-Enterprise-Ultimate," an industrial-grade governance platform designed to address the critical challenges of radioactive contamination remediation, such as imprecise measurement and low execution efficiency in extreme environments. The framework integrates high-dimensional data processing, atomic-level sensory forensics, and automated control engineering based on the "Shuiquan Scientific Philosophy System," which synergizes fuzzy logic intuition with rigorous physical modeling. ​Technically, the system utilizes a 384-dimensional composite vector indexing method—combining 256D physical features with 128D material embeddings—to achieve microsecond-level localization of pollution sources. It incorporates Monte Carlo simulations for radioactive risk assessment, ensuring operational safety probabilities up to 1 - 10^{-15}. The execution layer supports heterogeneous robot coordination, including heavy-duty drones and ground robots, for fully automated monitoring, sampling, and disposal. By providing a verifiable and scalable Python-based execution framework, this research offers a complete engineering pathway for the resolution of nuclear waste.