Direct falling weightlessness type material discharging machine based on neural network and controller of direct falling weightlessness type material discharging machine

Abstract

The invention discloses a direct falling weightlessness type material discharging machine based on a neural network and a controller of the direct falling weightlessness type material discharging machine. The discharging machine comprises a rack, a discharging bin, a discharging valve, a material mixing hopper, a weighing module, a falling valve, a mixed material bin and a controller; and a bin position sensor and a stirrer are installed in the discharging bin, and a mixing device is arranged in the material mixing hopper. A neural network module is adopted in the controller, the material weightlessness value is forecasted based on the material position of the discharging bin, the falling rate, the material density and the opening hole diameter of the discharging valve, and therefore theclosing time of the discharging valve is adjusted. According to the direct falling weightlessness type material discharging machine and the controller, modeling of the weighing behavior in dischargingis carried out through the neural network, the trained network can accurately forecast the falling material weightlessness value in different falling states, direct and accurate discharging can be achieved, and the machine is suitable for small-batch production; the bin position sensor and the stirrer are adopted for detecting and adjusting the material accumulation shape in the discharging bin,and fluctuation of the falling rate is reduced; and the discharging accumulation error is controlled, and the batched discharging total error is reduced.

Description

technical field [0001] The invention relates to the field of quantitative cutting, in particular to a neural network-based straight-fall weightless material cutting machine and a controller thereof. Background technique [0002] In industrial and agricultural manufacturing and commodity packaging, there are a large number of powder materials, such as iron concentrate, coal powder and other ironmaking raw materials, polypropylene, polystyrene, polyvinyl chloride, light methyl cellulose, polypropylene nitrile, environmental protection, etc. Chemical raw materials such as oxygen resin powder coatings, building materials such as quartz sand and cement, household chemical products such as washing powder, agricultural products such as millet and soybeans, or processed foods such as powder, slag, and granules, agricultural production such as feed, chemical fertilizers, and pesticides Materials, as well as powdered health care products, Chinese and Western medicines, condiments, etc...

AI Technical Summary

Problems solved by technology

For example, the Chinese patents with application numbers 200710142591.6, 201010108011.3 and 201310178558.4 all measure the falling materials through the calculation of the weight reduction of the weighing bin. Although these schemes do not need to consider the amount of air, they do not consider the weight loss of materials when they fall from the feeding valve. The effect affects the accuracy of weighing and measurement, and cannot meet the requirements of high-precision blanking, and these solutions can only be used for continuous blanking and cannot be directly applied to batch blanking

Images