{"authors":[],"components":[{"id":"root","name":"root","payload":{"cid":"bafybeifxzfsduwvhrvevx3i7jayejo3vd27tsen4sdyhhozf5eilu435re","path":"root"},"type":{".pdf":"pdf"}},{"id":"52b160ba-505c-4031-858f-59b767480b00","name":"PurifyEnt_Radioactive_Remediation.pdf","payload":{"cid":"bafybeie4bg3z4bqkguhai7olrptuip645tqjqx3xk545dplay55trnd7j4","path":"root/PurifyEnt_Radioactive_Remediation.pdf","title":"Manuscript","licenseType":"cc0"},"starred":true,"subtype":"manuscript","type":"pdf"}],"defaultLicense":"CC BY","description":"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.  \n​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.","keywords":["computer science","process","environmental remediation","rationality","dimension","sensor fusion","systems engineering","biochemical engineering","process engineering","contamination","engineering","artificial intelligence","mathematics","biology","pure mathematics","law","ecology","political science","operating system"],"references":[],"researchFields":["Environmental Impacts of Fukushima Nuclear Disaster","Risk Perception and Communication in Society","Representation and Critique of DIKW Hierarchy"],"title":"Purify-Enterprise-Ultimate: A Multi-modal Fusion and High-Dimensional Vector Indexing Framework for Automated Radioactive Contamination Remediation","version":"desci-nodes-0.2.0"}