Adaptive Monitoring and Control for Photo-Fenton Hydrogen and Remediation Systems: Lifecycle Evidence and Accountable Decisions

Abstract

This critical review examines adaptive monitoring and control in photo-fenton hydrogen and remediation systems, with links to intelligent manufacturing and evidence governance. The organizing question is when monitoring should trigger adaptation, additional measurement, human review, or a controlled shutdown. Ten or more scholarly and user-supplied records are synthesized through a mechanism-to-decision framework spanning system boundaries, measurement, representation, evaluation, translation, and governance. No experiment, participant dataset, effect estimate, or production result is invented. Particular attention is given to continuous monitoring generating alerts without clear decision rights. The review argues that credible translation requires source-level traceability, explicit validity domains, failure-aware evaluation, and revalidation triggers. Google Scholar-supplied records are retained in structured APA form, and no missing DOI or pagination field is completed by conjecture.