2results about How to "Solve the imbalance" patented technology

This invention discloses an upward-rotating and downward-rotating spray gun, belonging to the field of agricultural irrigation technology. Based on the original double-rotating spray gun, this invention is optimized for high-sediment-content water environments. It includes: an outer cylinder (1), a central water supply pipe (2), a drive rotating shaft (3), a planetary reduction mechanism (4), a high-speed recoil drive arm (5), and a low-speed spraying arm (6). The improvements are as follows: the base (7) is provided with first and second sealing rings (701, 702) to isolate sand and dust; the upper end face of the base and the central groove are provided with sand discharge holes (703); the lower end of the first water distribution chamber (501) is provided with a double sealing ring layer (504), and the high-speed recoil drive arm at the corresponding position is provided with a debris discharge hole (505); the top of the high-speed recoil drive arm is provided with a sealing thread sleeve (506) to cooperate with the upper sealing ring (507); the inner wall of the central water supply pipe (2) is provided with ribs (202) that have both reinforcement and flow guiding functions; the low-speed spray arm (6) consists of two bifurcated arms of different heights, with nozzles of different sizes installed at angles of 30-38° and 5-20° respectively to balance the reaction force. While maintaining the advantages of the original double swirl field, the present invention significantly improves the anti-clogging ability and operational balance, and is especially suitable for surface water irrigation with high sand content.

A kind of multi-flow chain type perception enhanced multimodal aspect-level sentiment analysis method is referred to as MCPE model, it is related to multimodal sentiment analysis technical field.The present application solves the problem of low accuracy of fine-grained sentiment analysis caused by the difference of information density within modal and the imbalance of information between modal in the prior art.The present application comprises: obtaining a multi-modal text-image pair to be analyzed, inputting the text-image pair into the trained MCPE model to obtain aspect words and their sentiment polarity;The MCPE model comprises: a feature extraction module, a chain enhancement module, a multi-flow interaction module and a classifier;Text features are extracted by BART and image features are extracted by Faster R-CNN in the feature extraction;The chain enhancement module suppresses image and text noise and enhances fine-grained semantics through IFE-TFE double-chain architecture;The multi-flow interaction module realizes the dynamic complementary fusion of text reasoning and visual evidence by using bidirectional cross-modal attention;The classifier outputs the analysis result based on the fusion features, and does not require external tools.The present application is suitable for sentiment analysis of social media comments.