Intelligent processing method for dynamic weighing signal of fruit high-speed sorting system

Abstract

The invention discloses an intelligent processing method for a dynamic weighing signal of a fruit high-speed sorting system. By using the method, the high-precision acquisition and prediction of fruit weight can be realized on the basis of an improved AR (Autoregressive) model. The method comprises the following steps of: acquiring the grading speed in real time; sampling and storing a group of data of standard fruits; filtering and eliminating low-frequency noise in a signal sampling value; reading initial data, modeling by using the improved AR model and calculating orders and parameters ofthe model by an operation station system; storing the parameters and the orders of the model, which are obtained by training at different sorting speeds, in a file; predicting fruit weight information by using the trained model parameters according to the sorting speed through a control station system; and carrying out precision analysis on the predication result by the operation station system. According to the method, at the grading speed of 20 fruits / second, the weighing precision can reach within 1.5+ / -0.5 percent and the optimal orders and parameters of the model can be acquired again after the grading speed is changed. The intelligent processing method has simple structure, low requirement on hardware and favorable extensibility and can be conveniently transplanted for processing high-speed weighing signals in other fields.

Description

technical field [0001] The invention relates to an intelligent processing method for dynamic weighing signals of a high-speed fruit sorting system. Background technique [0002] According to statistics, my country's output of apples, pears, peaches and pomelo ranks first in the world. In order to improve the economic value of fruits, it is necessary to carry out post-harvest treatments such as cleaning, grading, and packaging of harvested fruits. Dynamic weighing technology is one of the key technologies for post-production processing. The accuracy of dynamic weighing directly affects the accuracy of grading, packing and other processes. The accuracy level of dynamic weighing mainly depends on two aspects: one is the mechanical structure design of the fruit cup and the weighing area; the other is the design of the weighing signal processing system. The weighing signal processing system generally includes an operating station system and a control station system. The operat...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to solve the problem that the existing fruit weighing system has low measurement accuracy and cannot meet the real-time requirements at high speed, and provides an intelligent processing method for the dynamic weighing signal of the fruit high-speed sorting system

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