4results about How to "Guaranteed removal rate" patented technology

The application relates to the technical field of coal quality sorting, and discloses a precision sorting and regulation method and system suitable for complex coal quality, which comprises the following steps: determining the component parameters of each component based on a component analysis model and coal quality parameters, comparing all the component parameters in a historical regulation database, determining the fan rotating speed of a blower based on the similarity of the component parameters when a calling strategy is determined, constructing a wind speed mapping model based on a sample data set and the historical regulation database when a compensation strategy is determined, determining whether the stability of the fan rotating speed is qualified based on wind speed fluctuation frequency, determining the fan rotating speed correlation result based on the valve opening and a correlation rule algorithm, determining the rotating speed regulation coefficient of the fan rotating speed according to the fan rotating speed correlation result, and adjusting the fan rotating speed according to the rotating speed regulation coefficient; and the reliability of sorting is ensured by determining the component parameters and judging the stability of the fan rotating speed.

The invention relates to a refining method for reducing and controlling a plasticizer and 3-chloropropanol ester in camellia oil, and aims to effectively control the plasticizer, the 3-chloropropanol ester and glycidyl ester in the camellia oil and maintain nutritional ingredients and natural flavor of the camellia oil. The method comprises the steps of acidification degumming, alkali refining deacidification, water washing, decoloration, dual-temperature deodorization, low-temperature adsorption and the like, and particularly, the vacuum degree and the temperature are finely adjusted in the deodorization process, so that control over a plasticizer, 3-chloropropanol ester and glycidyl ester is effectively considered.

This invention relates to the field of water treatment technology, and particularly to a system and method for removing small-molecule organic matter based on field energy granulation and agglomeration. The system includes an initial mixing section and an electrostatic field enhancement section and a post-mixing section connected sequentially to the initial mixing section. Through the effects of initial mixing and electrostatic field enhancement, medium-sized polymers are first formed, which combine with small-molecule organic matter to form complexes, encapsulating the small-molecule polymers. Then, during post-mixing, coagulants are continuously added and adhere to the initial complexes, forming a coral reef-like surface with a higher zeta potential and a larger specific surface area. Each newly formed surface layer combines with pollutants and covers the previous layer, thereby encapsulating more small-molecule organic matter into the flocs and improving the removal rate of small-molecule organic matter. This solves the problem of low removal rates of small-molecule organic matter in existing coagulation processes, which cannot meet the requirements for wastewater recycling.

The present application relates to the model training sample screening field, for solving the problem that the data cannot be effectively screened in the model training process, resulting in the training cost is improved and the training effect is reduced, specifically for the model data sample intelligent screening method and system for knowledge distillation; The present application carries out multistage screening to the basic data for training when training the model, so as to fully remove the data completely ineffective for training, false interference data and high repeatability homogeneous data, simultaneously, the large amount of data is processed by dichotomization, the homogeneous data can be efficiently selected by jumping, both the removal rate of homogeneous data is guaranteed and the workload when removing homogeneous data is reduced, the data for model training can play an optimizing role for model training, meanwhile, the negative interference of false data is reduced, also can avoid a large amount of homogeneous data to make repeated training, improve the data quality, reduce the training cost.