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CN-116400649-B - Parameter optimization method for automatic quantitative packing scale

CN116400649BCN 116400649 BCN116400649 BCN 116400649BCN-116400649-B

Abstract

The invention relates to a parameter optimization method for an automatic quantitative packing scale, which comprises a first parameter optimization process and a second parameter optimization process, wherein the second rapid feeding end weight is optimized through a slow feeding flow rate and a standard slow feeding time, and whether the physical properties of materials are changed or not is judged by acquiring a second slow feeding consumption time, so that the parameter optimization method can respond to the material property change. The parameter optimization method can automatically adjust to the optimal parameters without intervention of operators, has higher automation degree, is efficient and simple, consumes short time and is convenient to implement, and capacity maximization can be realized on the basis of meeting the precision requirement.

Inventors

  • CHEN YOU

Assignees

  • 无锡市瑞利技术开发有限公司

Dates

Publication Date
20260512
Application Date
20221222

Claims (9)

  1. 1. The parameter optimization method for the automatic quantitative packing scale is characterized by comprising the following operation processes: acquiring material types and target weight, wherein different standard slow feeding time is correspondingly set for different material types in the control system; Performing a first parameter optimization process, setting the rapid feeding ending weight as a first rapid feeding ending weight, wherein the first rapid feeding ending weight is 50% of the target weight, rapidly feeding and acquiring real-time weight in the package, stopping rapid feeding when the real-time weight reaches the set rapid feeding ending weight, and acquiring the weight of the first material in the package at the moment after stabilizing; slowly feeding and acquiring real-time weight in the package, synchronously starting an internal timer to count, stopping feeding and stopping counting when the real-time weight reaches a target weight, acquiring first slow feeding consumption time, and acquiring second material weight in the package after stabilizing; determining the difference between the weight of the second material and the weight of the first material as the weight required by the first slow feeding; Determining the ratio of the required weight of the first slow feed to the time spent on the first slow feed as a slow feed flow rate; determining the product of the slow feed flow rate and the standard slow feed time as the weight required for the second slow feed; Determining the difference between the target weight and the weight required by the second slow feeding as the second fast feeding ending weight, and completing the first parameter optimization process; Setting the rapid feeding ending weight as a second rapid feeding ending weight, rapidly feeding and acquiring real-time weight in the package, stopping the rapid feeding when the real-time weight reaches the set rapid feeding ending weight, simultaneously starting slow feeding, synchronously starting an internal timer and acquiring the real-time weight in the package; Stopping feeding and stopping timing when the real-time weight reaches the target weight, and acquiring a second slow feeding consumption time FST2; if the second slow feeding time is within the set range of the standard slow feeding time, indicating that the material characteristics are not changed, and enabling the material characteristic change times MC=0; if the second slow feeding time exceeds the set range of the standard slow feeding time, the material characteristics are changed, and the material characteristic change times MC=MC+1 are caused; if the material characteristic change times MC is more than or equal to 3, carrying out a first parameter optimization process again; if the material characteristic change times MC is smaller than 3, continuing the second parameter optimization process.
  2. 2. A parameter optimization method for an automatic quantitative packing scale according to claim 1, wherein the parameter optimization method can also obtain information about whether a user uses the parameter optimization method for the first time, If the user uses the method for the first time, the first parameter optimization process is needed to be carried out firstly, and the second parameter optimization process can be carried out after the first parameter optimization process is finished; if the user is not first used, the second parameter optimization process can be directly performed.
  3. 3. A method of optimizing parameters for an automatic quantitative packaging scale as claimed in claim 2 wherein the second parameter optimizing process is performed using a fast end of feed weight parameter last used by the user when the user is not first using the parameter optimizing process.
  4. 4. A method for optimizing parameters of an automatic quantitative packaging scale as claimed in claim 1, wherein the internal timer starts from 00:00 seconds each time it is synchronously started.
  5. 5. A parameter optimization method for an automatic quantitative packing scale as set forth in claim 1, wherein the second slow feed time consumption needs to be controlled within + -0.5S of the standard slow feed time.
  6. 6. The method for optimizing parameters of an automatic quantitative packing scale according to claim 1, wherein standard slow feeding time corresponding to four material types is preset in the control system, and the range of the standard slow feeding time is 3S-5S.
  7. 7. The method for optimizing parameters of an automatic quantitative packing scale according to claim 6, wherein the four types of materials are respectively powdery materials, granular materials, sheet/strip/block special-shaped materials and other types of materials; The standard slow feeding time corresponding to the powdery material is 4S; the standard slow feeding time corresponding to the particle materials is 3S; The standard slow feeding time corresponding to the powder sheet/strip/block materials is 5S; the standard slow feed time for other types of material was 4S.
  8. 8. A parameter optimization method for an automatic quantitative packing scale as set forth in claim 6, wherein four material types correspond to pictures provided with typical materials for reference by a user.
  9. 9. A method for optimizing parameters of an automatic quantitative packing scale according to claim 1, wherein the first parameter is optimized by stabilizing the first material weight and the second material weight for 3S before weighing.

Description

Parameter optimization method for automatic quantitative packing scale Technical Field The invention relates to the technical field of automatic quantitative packing scales, in particular to a parameter optimization method for an automatic quantitative packing scale. Background The working process of the automatic quantitative packing scale comprises a quick feeding stage and a slow feeding stage, wherein the quick feeding stage has a high feeding speed but cannot meet the weighing and packing precision, and the slow feeding stage has a low feeding speed but can accurately control the weighing and packing precision. In actual use, the automatic quantitative packing scale needs a client to set a Target weight Target and a quick feeding end point SP by itself, wherein the Target weight Target represents each package weight required by the client, and the quick feeding end point SP represents how much weight needs to be completed in the quick feeding stage. Published Chinese patent, publication number: CN110949706a, patent name, 2019.11.26, discloses an automatic setting and optimizing method for working parameters of an automatic quantitative packing scale, which comprises the steps of performing a whole-course slow feeding test, performing a rapid feeding test and a slow feeding test, obtaining the related weight parameters of key nodes in the two tests, and calculating the optimal rapid feeding ending weight E1 and slow feeding ending weight E2 through the weight parameters, thereby realizing the automatic setting and optimizing of the working parameters, eliminating the technical level dependence on operators, and obtaining higher accuracy and working efficiency. Meanwhile, the optimization method eliminates the influence of material characteristic factors on the optimization result, and when the physical characteristics of the feeding materials of the automatic quantitative packaging scale are changed in the working process, the optimization method cannot respond, and parameter adjustment optimization cannot be automatically carried out, and at the moment, the weighing precision of the automatic quantitative packaging scale can be ensured only by manually adjusting the parameters by an operator. Disclosure of Invention The inventor aims at the defects in the prior art, and provides a reasonable parameter optimization method for the automatic quantitative packaging scale, which is used for judging whether the physical characteristics of materials change or not by acquiring the second slow feeding consumption time, so that the parameter optimization method can respond to the material characteristic change, automatically adjust to the optimal parameters without intervention of operators and has higher degree of automation. The technical scheme adopted by the invention is as follows: a parameter optimization method for an automatic quantitative packaging scale, the parameter optimization method comprising the following operations: acquiring material types and target weight, wherein different standard slow feeding time is correspondingly set for different material types in the control system; Performing a first parameter optimization process, setting the rapid feeding ending weight as a first rapid feeding ending weight, wherein the first rapid feeding ending weight is 50% of the target weight, rapidly feeding and acquiring real-time weight in the package, stopping rapid feeding when the real-time weight reaches the set rapid feeding ending weight, and acquiring the weight of the first material in the package at the moment after stabilizing; slowly feeding and acquiring real-time weight in the package, synchronously starting an internal timer to count, stopping feeding and stopping counting when the real-time weight reaches a target weight, acquiring first slow feeding consumption time, and acquiring second material weight in the package after stabilizing; determining the difference between the weight of the second material and the weight of the first material as the weight required by the first slow feeding; Determining the ratio of the required weight of the first slow feed to the time spent on the first slow feed as a slow feed flow rate; determining the product of the slow feed flow rate and the standard slow feed time as the weight required for the second slow feed; Determining the difference between the target weight and the weight required by the second slow feeding as the second fast feeding ending weight, and completing the first parameter optimization process; Setting the rapid feeding ending weight as a second rapid feeding ending weight, rapidly feeding and acquiring real-time weight in the package, stopping the rapid feeding when the real-time weight reaches the set rapid feeding ending weight, simultaneously starting slow feeding, synchronously starting an internal timer and acquiring the real-time weight in the package; Stopping feeding and stopping timing when the real-time weight reaches the t