2results about How to "Reliable data reference" patented technology

The application provides a kind of test device and method for evaluating volume change rate of cement slurry in cementing waiting-on-phase, and belongs to the technical field of oil and gas well cementing engineering.The test device comprises a curing kettle body, a cement slurry cup is arranged in the curing kettle body, a supporting assembly is used to suspend the cement slurry cup in the curing kettle body, and an adjusting assembly is used to assist in taking the cement slurry cup.The cement slurry cup can be suspended by the supporting assembly and the adjusting assembly, the remaining space in the curing kettle body forms a continuous flow cavity, which is beneficial to simulate temperature conditions and pressure environment closer to the actual downhole environment, the cement slurry cup can be easily taken out or put into the curing kettle body without the help of additional tools, the operation time is saved, the liquid medium in the cement slurry cup can be easily emptied, and the subsequent processing work after the test is completed is simplified.

This invention relates to the field of big data processing technology, specifically to a cloud-based agricultural big data analysis and processing system. It includes a crop data aggregation module, which extracts soil moisture time-series data and phenotypic image data from multimodal sensor data; a state deviation calculation module, which outputs lag offsets through a time-series mapping network and performs alignment, then generates environmental masking variable deviation stripping through a state decoupling network, outputting phenotypic isolation vectors and plant feature vectors; a topology coordination module, which establishes a hierarchical transmission topology and performs asymmetric graph aggregation operations along unidirectional transmission paths, outputting fused feature vectors; and a management and control decision module, which inputs the fused feature vectors into a sequence decoding network and a clustering boundary network for computation, outputting a lesion evolution matrix and a distribution risk set. This invention deeply coordinates time-series feature processing, spatial environment decoupling, and topology network computation, enabling prediction results and distribution risks to provide a basis for state-based decision-making in agricultural production.