CN-117235676-B - Dynamic measurement precision estimation method based on weightless weighing data

Abstract

The invention provides a dynamic measurement precision estimation method based on weightless weighing data. The dynamic measurement precision estimation method based on the weightless weighing data comprises the steps of extracting and segmenting the weightless weighing data, carrying out linear regression analysis on the weighing data to obtain a residual error data sequence outside a feeding stage, carrying out linear regression analysis on the residual error data sequence to obtain an error data sequence in the feeding stage, and calculating the cycle dynamic precision according to the error data sequence in the feeding stage. The dynamic measurement precision estimation method based on the weightless weighing data can solve the problems that the existing weightless weighing has lower dynamic measurement precision and affects the batching accuracy.

Inventors

• HE ZHANGQIANG
• Hao Pengjie

Assignees

• 合肥国轩高科动力能源有限公司

Dates

Publication Date

20260508

Application Date

20231009

Claims (5)

1. 1. The dynamic measurement accuracy estimation method based on the weightless weighing data is characterized by comprising the following steps of: extracting and segmenting weightless weighing data; Performing linear regression analysis on the weight data to obtain a residual error data sequence outside the feeding stage; performing linear regression analysis on the residual data sequence to obtain an error data sequence in a feeding stage; calculating the cycle dynamic precision according to the error data sequence of the feeding stage; the step of extracting and segmenting the weightless weighing data comprises the following steps of: Dividing the weight data change period of the weightless scale according to the weight data change of the weightless scale; Segmenting the weightless weighing data in one period; The step of dividing the weight data change period of the weightless scale according to the weight data change of the weightless scale comprises the following steps: Setting the starting triggering interval of two adjacent feeding as a period; The step of segmenting the weightless weighing data over a period comprises: Dividing the weightless weighing data acquired in one period into 3 sections of weight data sequences G 1 、G 2 、G 3 , wherein the weight data sequences correspond to a feeding stage, a stabilizing stage and a closed-loop control stage respectively; The step of performing linear regression analysis on the residual data sequence to obtain an error data sequence in the feeding stage comprises the following steps: Performing linear regression analysis on the closed-loop control section weight data sequence G 3 to obtain residual data sequences E 2 and E 3 of weightless weight data in a stable stage and a closed-loop control stage relative to a linear regression line; The step of performing linear regression analysis on the closed-loop control segment weight data sequence G 3 to obtain residual data sequences E 2 and E 3 of the weightless weighing data of the steady phase and the closed-loop control phase relative to the linear regression line includes: Acquiring a residual data sequence E 3 of the weightless weighing data of the closed-loop control stage relative to the linear regression line according to the closed-loop control section weight data sequence G 3 ; Obtaining a residual data sequence E 2 of the weightless weighing data in the stable stage relative to the linear regression line through linear regression analysis according to the residual data sequence E 3 of the closed-loop control section; The step of performing linear regression analysis on the residual data sequence to obtain an error data sequence in the feeding stage comprises the following steps: And carrying out linear regression analysis on the residual data sequence E 2 of the weight loss weighing data in the stable stage to obtain a feeding stage error data sequence E 1 .
2. 2. The method of claim 1, wherein the feeding stage and the stabilizing stage are screw constant speed stages, and the closed loop control stage is a screw variable speed stage.
3. 3. The method of claim 1, wherein the step of calculating the periodic dynamic accuracy from the error data sequence of the feed phase comprises: Calculating the period dynamic metering precision e by the following formula: ; Wherein the method comprises the steps of For the first value of E 1 sequence, L is the set flow of the weightlessness scale, and T is the cycle time.
4. 4. The dynamic measurement accuracy estimation method according to claim 1, characterized in that the dynamic measurement accuracy estimation method further comprises: acquiring a plurality of continuous periodic dynamic metering precision; And calculating the dynamic metering precision of the weightless weighing data according to the dynamic metering precision of a plurality of continuous periods.
5. 5. The method according to claim 2, wherein the feeding stage is a feeding and discharging coexistence stage and the stabilization stage is a separate discharging stage.

Description

Dynamic measurement precision estimation method based on weightless weighing data Technical Field The invention relates to the technical field of weightlessness weighing, in particular to a dynamic measurement accuracy estimation method based on weightlessness weighing data. Background In the industrial field, in order to ensure the consistency of products, the proportioning of materials is strictly carried out according to a formula, so that the materials need to be accurately metered, such as the preparation of lithium batteries. In continuous production equipment, a feeding system adopts a weightless scale to continuously feed according to a set flow. In the prior art, the operation is performed according to a volume mode in a weightless weighing feeding stage and a stabilizing stage after feeding, namely, the operation of a discharging screw is performed according to the speed of the feeding at the previous moment or the average speed of the feeding at the previous moment, only the recording of weight data is performed, closed loop feedback is not performed, and the feeding stage is a metering blind area. In the prior art known by the inventor, the dynamic metering precision is calculated according to the weight loss and weight change in the non-feeding stage, so that the actual dynamic metering precision cannot be truly reflected, and the accuracy of ingredients is greatly affected. Disclosure of Invention The invention mainly aims to provide a dynamic measurement precision estimation method based on weightless weighing data, which can solve the problems that the existing weightless weighing has lower dynamic measurement precision and affects the batching accuracy. In order to achieve the above object, according to an aspect of the present invention, there is provided a dynamic measurement accuracy estimation method based on weightless weighing data, comprising: extracting and segmenting weightless weighing data; Performing linear regression analysis on the weight data to obtain a residual error data sequence outside the feeding stage; performing linear regression analysis on the residual data sequence to obtain an error data sequence in a feeding stage; and calculating the cycle dynamic precision according to the error data sequence of the feeding stage. Further, the step of extracting and segmenting the weightless weighing data includes: Dividing the weight data change period of the weightless scale according to the weight data change of the weightless scale; The weightless weight data for one cycle is segmented. Further, the step of dividing the weight data change period of the weightless scale according to the weight data change of the weightless scale includes: Setting the starting triggering interval of two adjacent feeding as a period; The step of segmenting the weightless weighing data over a period comprises: The weightless weighing data acquired in one period are divided into 3 sections of weight data sequences G 1、G2、G3, which respectively correspond to a feeding stage, a stabilizing stage and a closed-loop control stage. Further, the step of performing linear regression analysis on the residual data sequence to obtain an error data sequence in the feeding stage includes: And (3) performing linear regression analysis on the closed-loop control section weight data sequence G 3 to obtain residual data sequences E 2 and E 3 of the weightless weight data of the stable phase and the closed-loop control phase relative to the linear regression line. Further, the step of performing linear regression analysis on the closed-loop control segment weight data sequence G 3 to obtain residual data sequences E 2 and E 3 of the weightless weighing data in the steady phase and the closed-loop control phase relative to the linear regression line includes: Acquiring a residual data sequence E 3 of the weightless weighing data of the closed-loop control stage relative to the linear regression line according to the closed-loop control section weight data sequence G 3; and obtaining a residual data sequence E 2 of the weight loss data in the stable stage relative to the linear regression line through linear regression analysis according to the residual data sequence E 3 of the closed-loop control section. Further, the feeding stage and the stabilizing stage are screw constant speed stages, and the closed-loop control stage is a screw speed change stage. Further, the step of performing linear regression analysis on the residual data sequence to obtain an error data sequence in the feeding stage includes: And carrying out linear regression analysis on the residual data sequence E 2 of the weight loss weighing data in the stable stage to obtain a feeding stage error data sequence E 1. Further, the step of calculating the cycle dynamic accuracy according to the error data sequence of the feeding stage includes: Calculating the period dynamic metering precision e by the following formula: Wherein E 1 [1] is the first v