A control method, medium and control system of a feeder

Abstract

The application discloses a kind of control method, medium and control system of feeder, method includes steps: according to the material capacity of feeder, set multiple weight intervals;In the sampling period of one weight interval, obtain the weight of material of feeder, calculate the weight change rate in unit time, obtain multiple groups of weight change rate data corresponding to weight interval;Data fitting is carried out to multiple groups of weight change rate in the same weight interval, and the product of the weight change rate and the percentage of motor speed obtained by fitting is used to obtain the maximum feeding capacity parameter in the corresponding weight interval;Record the retention time and maximum feeding capacity parameter of each weight interval;According to the weight interval corresponding to the real-time material weight of feeder, maximum feeding capacity parameter and retention time, adjust motor speed.The application has the advantages of high feeding precision, high feeding efficiency and the like.

Description

TECHNICAL FIELD

[0001] The present application mainly relates to the technical field of medical food packaging, and particularly relates to a control method, medium and control system of a feeding machine. BACKGROUND

[0002] Various powders exhibit significant diversity and complexity due to their unique physical characteristics (which widely cover multiple dimensions such as particle size distribution, bulk density, flow performance and surface characteristics) and variable operating conditions (such as changes in high and low material levels and differences in feeding speed) in actual operation. This characteristic directly promotes the feeding machine to frequently adapt to the operating parameters, which cannot ensure that the feeding machine can maintain stable and high-precision feeding operation. SUMMARY

[0003] In view of the technical problems in the prior art, the present application provides a control method, medium and control system of a feeding machine with high feeding precision and high efficiency.

[0004] To solve the above technical problems, the technical solution provided by the present application is as follows:

[0005] A control method of a feeding machine, comprising the steps of:

[0006] setting a plurality of weight intervals according to the feeding capacity of the feeding machine;

[0007] obtaining the weight of the material of the feeding machine in a sampling period of one weight interval, calculating the weight change rate per unit time, and obtaining a plurality of sets of weight change rate data corresponding to the weight interval;

[0008] data fitting is performed on the plurality of sets of weight change rates in the same weight interval, and the maximum feeding capacity parameter in the corresponding weight interval is obtained according to the product of the fitted weight change rate and the percentage of the motor speed;

[0009] the retention time and the maximum feeding capacity parameter of each weight interval are recorded;

[0010] adjusting the motor speed according to the weight interval corresponding to the real-time material weight of the feeding machine, the maximum feeding capacity parameter and the retention time.

[0011] Preferably, a three-dimensional data model is constructed according to the weight interval, the maximum feeding capacity and the maximum feeding capacity retention time, and the three-dimensional data model is updated according to the material weight and the weight change rate in the sampling period.

[0012] Preferably, in the three-dimensional data model, the first dimension stores the material weight data; the second dimension stores the maximum feeding capacity calculated according to the weight; and the third dimension stores the maximum feeding capacity retention time.

[0013] Preferably, the process of updating the data in the three-dimensional data model in each sampling cycle comprises:

[0014] The real-time weight W is compared with W_n once, if W_n < W < W_n+1, then qM is stored in qMn_1, and the numbers in qMn are right-shifted by one unit.

[0015] Preferably, the process of fitting the data in the three-dimensional data model in each sampling cycle comprises: removing the maximum value and the minimum value from the data qMn_1-qMn_10 in the second dimension, and averaging to obtain the fitting data qMn'.

[0016] Preferably, the process of updating the data in the three-dimensional data model again comprises:

[0017] The real-time weight W is compared with W_n once, if W_n < W < W_n+1, then the fitting value qMn' is stored in qMn-1_1, and the numbers in qMn are right-shifted by one unit.

[0018] Preferably, the process of obtaining the corresponding feeding calibration value based on the fitting data comprises:

[0019] Firstly, it is judged whether qM_S / 2 < qMn' < qM_S*2 is satisfied, if yes, then qMn' is adopted, if no, then it is judged whether qM_S / 2 < qM < qM_S*2 is satisfied, if yes, then qM is adopted, if no, then the manual calibration value qM_S is adopted.

[0020] The application further discloses a computer program product comprising a computer program, which executes the steps of the method when run by a processor.

[0021] The application further discloses a computer readable storage medium, which stores a computer program, which executes the steps of the method when run by a processor.

[0022] The application further discloses a control system of a feeding machine, which comprises a memory and a processor connected with each other, and the memory stores a computer program, which executes the steps of the method when run by the processor.

[0023] Compared with the prior art, the application has the following advantages:

[0024] The application can calculate the key operation parameters in the current working condition in real time and accurately, and process and accurately fit them efficiently; with the intelligent mechanism, the feeding machine can dynamically adjust and optimize the operation parameters according to the actual characteristics of the powder and the specific requirements of the working condition, so as to ensure the stability and accuracy of the feeding process. The innovative achievement not only improves the performance of the feeding machine, but also sets a new industry benchmark for the accurate control in the powder processing field.

[0025] The feeding system control method provided by the application can learn the current operation parameters in real time, calculate and fit them into the optimal parameter curve, and improve the control accuracy of the system.

[0026] The application can automatically adjust the parameters by real-time monitoring and analyzing data, so that the actual flow is more accurately close to the target flow, and the feeding accuracy is improved; the application can automatically adapt to different material characteristics and process requirements, reduce human intervention, and improve the stability of feeding; users do not need to have professional knowledge and skills, only need to set the target flow, and the algorithm can automatically complete the feeding control; by optimizing the parameter adjustment strategy, the adjustment time and frequency are reduced, and the feeding efficiency is improved. BRIEF DESCRIPTION OF DRAWINGS

[0027] Figure 1 It is a schematic diagram of the existing material level-feeding capacity curve.

[0028] Figure 2 It is a flowchart of the control method of the application in the embodiment.

[0029] Figure 3 It is a schematic diagram of real-time feeding capacity calculation in the application.

[0030] Figure 4 It is a schematic diagram of the three-dimensional data model structure in the application.

[0031] Figure 5 It is a schematic diagram of data fitting in the application.

[0032] Figure 6 It is a schematic diagram of data calling in the application.

[0033] Figure 7 It is a flowchart of the control method of the application in the specific application. DETAILED DESCRIPTION

[0034] The application will be further described below in combination with the drawings and specific embodiments.

[0035] As Figure 1As shown, the data after fine fitting can be used as the parameter input for instant operation, ensuring the real-time and accuracy of the system. During the operation of the device, the system automatically retrieves and matches the optimal operation parameters under the current working condition, and uses them as the instant input parameters to guide the operation.

[0036] When the bin is just full, the material density inside the screw is relatively low, resulting in limited feeding capacity. As the device continues to operate, the material density inside the screw gradually rises until it reaches a peak, at which time the feeding capacity also reaches a maximum. However, subsequently, as the material level continues to drop, the feeding capacity also gradually weakens. In particular, when the material level drops to a certain critical value, the feeding capacity will experience a sharp decline, which must be avoided during continuous feeding.

[0037] As shown, the control method of the feeding machine provided by the embodiment of the present application comprises the steps of: Figure 2

[0038] According to the feeding capacity of the feeding machine, a plurality of weight intervals (such as W_1~W_300) are set;

[0039] In a sampling period of a weight interval, the weight of the material of the feeding machine is obtained, the weight change rate per unit time, i.e. the instantaneous mass flow rate qM, is calculated, and a plurality of sets of weight change rate data corresponding to the weight interval are obtained;

[0040] The plurality of sets of weight change rates in the same weight interval are subjected to data fitting, and the maximum feeding capacity parameters in the corresponding weight interval are obtained according to the product of the weight change rate obtained by fitting and the percentage of the motor speed; wherein the percentage of the motor speed is the ratio of the motor speed to the maximum motor speed;

[0041] The holding time and the maximum feeding capacity parameters of each weight interval are recorded; wherein the specific process of obtaining the holding time is: according to the division of the weight into 300 parts by two times, the time length (measured value) of each part change is obtained;

[0042] The motor speed is adjusted according to the weight interval corresponding to the real-time material weight of the feeding machine, the maximum feeding capacity parameter and the holding time.

[0043] In order to better understand the above technical solutions, the above technical solutions will be described in detail below in combination with the drawings in the specification and specific embodiments, and the specific steps are as shown in Figure 2

[0044] The control method of the feeding machine provided by the embodiment of the present application comprises the following specific steps:

[0045] S1, real-time feeding capacity calculation

[0046] ​​The weight of the material in the hopper is monitored in real time by the weighing system, and the weight change rate per unit time, i.e. the instantaneous mass flow rate, is calculated, i.e. qM=AG / At; at the same time, the operating parameters of the feeder, such as the motor speed, the screw propulsion speed, etc., are recorded;

[0047] Due to the particulate nature and the agglomeration characteristics of the powder, if the calculation period is too short, the calculation result will fluctuate too much, and if the sampling period is too long, the data refresh will be too slow. In order to solve this problem, the sampling period and the calculation period are set separately. In order to facilitate understanding, the sampling period is set as At, and the mass flow rate calculation period is set as 5At, as shown in Figure 3 , i.e. qM=(W6-W1) / 5At.

[0048] S2, data storage

[0049] As shown in Figure 4 , a three-dimensional array is built, the first dimension W_1~W_300 stores the weight data corresponding to the current sample, the second dimension qM1-qM10 stores the 10 sample results corresponding to the current weight, and the third dimension stores the sample data (maximum feeding capacity) corresponding to different weights.

[0050] Every sampling period, the real-time weight W is compared with W_n, if W_n

[0051] S3, data fitting

[0052] As shown in Figure 5 , every sampling period, data fitting calculation is performed, first judge the validity of the data, then remove the maximum and minimum values of the valid data and calculate the average value to get qMn'; the real-time weight W is compared with W_n, if W_n

[0053] S4, data calling

[0054] As shown in Figure 6 , every sampling period, the current fitting data qMn' is searched, and whether it is qualified (whether it meets qM_S / 2

[0055] Finally, based on the data analysis results, the parameters of the feeder, such as motor speed and screw propulsion speed, are automatically adjusted to reduce deviations and make the actual flow rate gradually approach the target flow rate.

[0056] like Figure 7 As shown, in practical applications, when the current weight change increases or the standard deviation of the previous few weight data is greater than the set value, it is judged that the fluctuation is large. At this time, the curve data calculated from the previous ten cycles is called (the current data is not used).

[0057] During PID control, the system jumps between maximum feeding capacity data based on the time dimension. This invention can calculate key operating parameters in real time and accurately under current conditions, and then efficiently process and precisely fit these parameters. Through this intelligent mechanism, the feeder can dynamically adjust and optimize its operating parameters according to the actual characteristics of the powder and the specific needs of the operating conditions, thereby ensuring the stability and accuracy of the feeding process. This innovative achievement not only improves the performance of the feeder but also sets a new industry benchmark for precise control in the field of powder processing.

[0058] The feeding system control method provided by this invention can learn the current operating parameters in real time, calculate and fit the optimal parameter curve, thereby improving the control accuracy of the system.

[0059] This invention automatically adjusts parameters by real-time monitoring and analysis of data, making the actual flow rate more accurately approximate the target flow rate and improving feeding accuracy. It can automatically adapt to different material characteristics and process requirements, reducing human intervention and improving feeding stability. Users do not need professional knowledge and skills; they only need to set the target flow rate, and the algorithm can automatically complete the feeding control. By optimizing parameter adjustment strategies, it reduces adjustment time and frequency, improving feeding efficiency.

[0060] The present invention also discloses a computer program product, comprising a computer program that, when executed by a processor, performs the steps of the method described above.

[0061] The present invention further discloses a computer-readable storage medium having a computer program stored thereon, the computer program executing the steps of the method described above when run by a processor.

[0062] The present invention also discloses a control system for a feeder, including a memory and a processor connected to each other, wherein the memory stores a computer program, and the computer program executes the steps of the method described above when run by the processor.

[0063] The products, media, and systems of the present invention, corresponding to the methods described above, also possess the advantages described above.

[0064] The present application can realize all or part of the processes in the above-mentioned embodiment methods, and can also be completed by computer program instruction related hardware. The computer program can be stored in a computer readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned method embodiment can be realized. The computer program includes computer program code, which can be in the form of source code, object code, executable files or some intermediate forms, etc. The computer readable storage medium includes any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. The memory is used to store computer programs and / or modules. The processor realizes various functions by running or executing the computer programs and / or modules stored in the memory, and calling the data stored in the memory. The memory can include high-speed random access memory, and can also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device, etc.

[0065] The above is only the preferred embodiment of the present application, and the protection scope of the present application is not limited to the above-mentioned embodiment. Any technical solution falling within the concept of the present application shall fall within the protection scope of the present application. It should be noted that, for ordinary skilled persons in the art, some improvements and refinements without departing from the principle of the present application shall be considered as the protection scope of the present application.

Claims

1. A control method of a feeder, characterized by, The method comprises the steps of: setting multiple weight intervals according to the feeding capacity of the feeder; obtaining the weight of the material of the feeder in a sampling period of a weight interval, calculating the weight change rate per unit time, and obtaining multiple sets of weight change rate data corresponding to the weight interval; performing data fitting on the multiple sets of weight change rates in the same weight interval, and obtaining the maximum feeding capacity parameter in the corresponding weight interval according to the product of the fitted weight change rate and the percentage of the motor speed; recording the holding time and the maximum feeding capacity parameter of each weight interval; adjusting the motor speed according to the corresponding weight interval, the maximum feeding capacity parameter and the holding time of the real-time material weight of the feeder; constructing a three-dimensional data model according to the weight interval, the maximum feeding capacity and the maximum feeding capacity holding time, and updating the three-dimensional data model according to the material weight and the weight change rate in the sampling period; in the three-dimensional data model, the first dimension stores the material weight data; the second dimension stores the maximum feeding capacity calculated according to the weight; and the third dimension stores the maximum feeding capacity holding time; in each sampling period, the process of updating the data in the three-dimensional data model is: performing a comparison between the real-time weight W and W_n, if W_n < W < W_n+1, then storing the weight change rate qM in qMn_1, and right shifting the number in qMn by one unit; wherein Wn is an arbitrary value between the maximum and minimum values of the actual capacity of the feeder.

2. The control method of a feeder according to claim 1, characterized by, the process of fitting the data in the three-dimensional data model in each sampling period specifically includes: removing the maximum and minimum values of the data qMn_1-qMn_10 in the second dimension to obtain the average value, and obtaining the fitting data qMn'.

3. The control method of a feeder according to claim 2, characterized by, the process of updating the data in the three-dimensional data model again is: performing a comparison between the real-time weight W and W_n; if W_n < W < W_n+1, then storing the fitting value qMn' in qMn-1_1, and right shifting the number in qMn by one unit.

4. The control method of a feeder according to claim 3, characterized by, the specific process of obtaining the corresponding feeding calibration value based on the fitting data is: firstly judging whether qM_S / 2 < qMn' < qM_S*2 is satisfied, if satisfied, then adopting qMn'; if not satisfied, then judging whether qM_S / 2 < qM < qM_S*2 is satisfied, if satisfied, then adopting qM, and if not satisfied, then adopting the manual calibration value qM_S.

5. A computer program product comprising a computer program, characterized in that, The computer program, when executed by the processor, performs the steps of the method of any one of claims 1-4.

6. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program, when executed by the processor, performs the steps of the method of any one of claims 1-4.

7. A control system for a feeding machine comprising a memory and a processor connected to each other, said memory having stored thereon a computer program, characterized in that, The computer program, when executed by the processor, performs the steps of the method of any one of claims 1-4.

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