2results about How to "Low threshold" patented technology

This application relates to the field of latex product manufacturing technology, and particularly to a method and apparatus for controlling parameters of multi-stage countercurrent washing of latex products. The method includes: acquiring the operating status of the washing system and the water quality parameters of each stage of the washing tank; acquiring the washing load parameters of the multi-stage countercurrent washing device when the operating status indicates that the i-th stage washing tank is in washing operation; determining a supplementary trigger threshold and a water supply capacity threshold based on the washing load parameters; and controlling the increase of the supplementary water intake of the i-th stage washing tank when the i-th stage washing tank is in washing operation, the effective washing capacity index of the i-th stage washing tank is less than or equal to the supplementary trigger threshold, and the effective washing capacity index of the (i+1)-th stage washing tank is greater than or equal to the water supply capacity threshold. The method provided by this application can solve the problem of low washing quality caused by using conductivity thresholds as trigger conditions to control the supplementary water intake of each stage of the washing tank.

The present application belongs to the field of software system performance bottleneck analysis and detection, and relates to a software system performance bottleneck detection method based on intelligent operation and maintenance. The performance bottleneck detection method is as follows: first, performance data is acquired; second, performance data entry items are extracted to complete data preprocessing; third, test data is subjected to data two-group bottleneck clustering to obtain bottleneck time point marking division; fourth, training data is trained to obtain model architecture parameters and complete input data representation mapping; fifth, test data is trained to complete representation mapping with the training data; and sixth, the performance bottleneck detection result corresponding to the test data is obtained. The present application has low requirements for performance index data itself, a wider applicable scope, can effectively help complete system performance bottleneck analysis and interpretation by means of artificial intelligence, and has good applicability and robustness.