2results about How to "Improve automated processing performance" patented technology

The utility model discloses a kind of oil and gas field produced water treatment standard detection devices, it is related to environmental protection engineering technical field, including filter box and detection box, the filter box upper end is equipped with multi-point rain distributor, the multi-point rain distributor is equipped with inlet pipe, the filter box lower end is equipped with drain pipe, the drain pipe is connected with detection box one end by connecting assembly, the detection box other end is equipped with drain pipe, and circulation assembly is equipped between the drain pipe and the inlet pipe;Gravel layer, quartz sand layer, PES filter material layer, magnetite layer and modified fiber ball layer are installed in the filter box by mounting assembly;The utility model passes through the filter material layer structure and gradation in optimization filter box, solve the problem that traditional filter material combination is easily mixed, and the problem of insufficient sewage interception capacity, by setting circulation assembly, realize the secondary filtration treatment of water sample that does not reach standard, solve the drawback that traditional device needs manual intervention when single filtration does not reach standard.

This invention belongs to the field of artificial intelligence technology and relates to a multi-agent recursive task decomposition and adaptive routing method and system. The main steps of this method include task reception and semantic parsing, recursive task decomposition and task dependency graph construction, agent dynamic matching and adaptive routing, knowledge gap identification and "illusion" suppression mechanism, fault-tolerant scheduling and task rerouting, subtask result aggregation and closed-loop evaluation feedback. This invention comprehensively improves the automation, accuracy, and reliability of complex task processing by integrating recursive automatic task decomposition, agent dynamic routing, adaptive knowledge completion, a robust fault-tolerant mechanism, and a result feedback optimization mechanism. It is particularly suitable for complex knowledge processing scenarios such as in-depth interpretation of policy documents, multi-dimensional scientific research information evaluation, and review of large-scale project materials, and has significant technical advantages and broad application prospects.