A method and system for calculating the output of an Internet of Things sewing device based on beats

Abstract

The present invention discloses a method and system for calculating the output of an Internet of Things sewing device based on beats. To solve the problem of large errors and low accuracy in the existing method for calculating the output of an Internet of Things sewing device, it includes: obtaining the working hour data of a sewing machine, and taking each working hour data as a beat; constructing a screening algorithm to calculate the standard beat based on each beat; screening out the beats that meet the standard beat among the beats through the screening algorithm, and counting the number of the screened beats as the device output. Taking the beat of the sewing machine as the basis for calculating the output, setting the algorithm according to the production situation, using the algorithm to eliminate the beats that do not conform to the single-piece production working hour data, and the remaining beats are the output data. Automatically calculating with the algorithm instead of manual work realizes the intelligent monitoring of the output of the production line; taking the beat as the calculation basis, there is no need to add additional hardware acquisition devices, reducing the consumption of hardware resources and human resources, and improving the production efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things sewing equipment, and particularly to a method and system for calculating the output of Internet of Things sewing equipment based on the beat. Background Art

[0002] At present, Internet of Things sewing equipment has basically replaced ordinary sewing machines. However, the sewing equipment on the market currently lacks an automatic piece-counting function and often relies on manual calculation of the number of sewn products, which cannot adapt to intelligent production management. In order to achieve automatic acquisition and control of sewing output, many output calculation methods have emerged on the market. For example, the number of sewing machine stitches, the number of times the lifter is lifted, the number of times the thread is cut, etc. are used as the calculation basis. Due to the influence of manual operation, there are problems such as large calculation errors and unsatisfactory accuracy.

[0003] For example, a "system of Internet of Things sewing machine" disclosed in a Chinese patent document with the publication number CN109146266A includes a team leader operation terminal, a sewing machine data collector, a central processing workstation, a quality inspector operation terminal, and a visual kanban. The team leader operation terminal, the sewing machine data collector, the quality inspector operation terminal, and the visual kanban are respectively connected to the central processing workstation. Among them, the sewing machine data collector counts by collecting the mechanical action contact signals of the foot pedal. Since the number of stitches per product is uneven, there are often situations of empty stepping and empty needles or mending needles. It is difficult to balance the number of foot pedal steps for each product by counting through the mechanical action contact of the foot pedal, and the error as the basis for piece-counting calculation is relatively large. Summary of the Invention

[0004] The present invention is to solve the problem of large errors and low accuracy in the output calculation method of existing Internet of Things sewing equipment, and provides a method and system for calculating the output of Internet of Things sewing equipment based on the beat, which statistically calculates the output based on the actual working hours and improves the accuracy of output calculation.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] A method for calculating the output of Internet of Things sewing equipment based on the beat includes:

[0007] Obtain the working hour data of the sewing machine, and take each working hour data as a beat;

[0008] Construct a screening algorithm to calculate the standard beat based on each beat;

[0009] The beats that meet the standard beats in the rhythm are screened out through a screening algorithm, and the number of screened beats is counted as the equipment output. Taking the rhythm of the sewing machine as the calculation basis for the output, setting the algorithm according to the production status, using the algorithm to eliminate the beats that do not meet the standard beats for single-piece production, and the remaining beats are the output data. Automatically calculating with the algorithm instead of manual work realizes the intelligent monitoring of the production line output; taking the rhythm as the calculation basis, the data of the sewing machine can be directly used without adding additional hardware acquisition devices, reducing the consumption of hardware resources and human resources, lowering the production cost, and improving the production efficiency.

[0010] Preferably, the construction of the screening algorithm calculation includes: calculating the root mean square of all beats, calculating the standard deviation of all beats, and calculating the difference between the root mean square and the standard deviation as the standard beat. By using the characteristic that the working hours data that is too small in the rhythm cannot complete one product, the optimal standard beat is found through the difference between the root mean square and the standard deviation, and the standard formula is flexibly adapted according to the actual data, which has good adaptability.

[0011] Preferably, the screening out of the beats that meet the standard beats in the rhythm through the screening algorithm includes:

[0012] Screening out the beats in the rhythm that are not less than the standard beat. Based on the normal distribution and combined with the root mean square and the standard deviation to screen out the beats that meet the standard beat can well improve the accuracy of screening.

[0013] Preferably, the obtaining of the working hours data of the sewing machine includes: obtaining the time difference between the start and the end of each operation of the sewing machine. The data of the sewing machine can be directly used without adding additional hardware acquisition devices, reducing the consumption of hardware resources and human resources, and lowering the production cost.

[0014] An Internet of Things sewing equipment output calculation system based on rhythm, adopting the Internet of Things sewing equipment output calculation method based on rhythm, is characterized by including:

[0015] A data acquisition module, used to acquire the working hours data of the sewing machine and take each working hours data as a beat; [[ID=?20]]

[0016] A calculation module, used to construct a screening algorithm calculation and calculate the standard beat based on the working hours data of each beat;

[0017] A screening module, used to screen out the beats that meet the standard beat in the rhythm through the screening algorithm, and count the number of screened beats as the equipment output.

[0018] Preferably, the data acquisition module includes:

[0019] A working hours data determination module, used to determine the time difference between the start time of each operation of the sewing machine and the end of the operation of the sewing machine; It should be noted that there seems to be a formatting or numbering issue with the "?20" in the original text. This might be a typo, but the translation is done based on the provided content as accurately as possible.

[0020] A beat generation module for taking each working hour as a beat.

[0021] Preferably, the screening module further includes: a comparison module for comparing the beat with a standard beat to obtain the beats in the beats that are not less than the standard beat.

[0022] In summary, the present invention has the following beneficial effects: (1) Taking the beat of the sewing machine as the calculation basis of the output, setting an algorithm according to the production situation, and using the algorithm to eliminate the beats that do not conform to the single-piece production working hour data. The remaining beats are the output data, improving the calculation accuracy. (2) Obtaining the optimal standard beat based on the normal distribution combined with the root mean square and the standard deviation, which can well improve the accuracy of screening. (3) Automatically calculating with the algorithm instead of manual work to realize the intelligent monitoring of the output of the production line; taking the beat as the calculation basis, the sewing machine data can be directly used without adding additional hardware acquisition devices, reducing the consumption of hardware resources and human resources, reducing the production cost, and improving the production efficiency. Description of the Drawings

[0023] Figure 1 It is a flowchart of a method for calculating the output of an Internet of Things sewing device based on beats according to an embodiment of the present invention.

[0024] Figure 2 It is a schematic diagram of working hour data of a method for calculating the output of an Internet of Things sewing device based on beats according to an embodiment of the present invention. Detailed Embodiments

[0025] The present invention will be further described below in conjunction with the drawings and the detailed embodiments.

[0026] Embodiment:

[0027] A method for calculating the output of an Internet of Things sewing device based on beats includes the following steps:

[0028] As Figure 1 shown, S1: Obtain the time difference working hour data between the start and the end of each operation of the sewing machine, and take each working hour as a beat; wherein, the working hour data is as Figure 2 shown, the abscissa is the beat, and the ordinate is the duration of the current beat. Among them, for the beats corresponding to the larger working hour data such as about 3600s and 1600s in the figure, they are caused by workers' lunch breaks or rework. In fact, one piece has also been completed and is within the standard beat.

[0029] S2: Construct a screening algorithm to calculate the root mean square of the working hour data of all beats, calculate the standard deviation of the working hour data of all beats, calculate the root mean square of all beats, calculate the standard deviation of all beats, and calculate the difference between the root mean square and the standard deviation as the standard beat;

[0030] S3: Screen out the beats in the rhythm that are not less than the standard rhythm through a screening algorithm, and count the number of screened beats as the equipment output.

[0031] This embodiment also discloses a method for calculating the output of an Internet of Things sewing equipment based on rhythm, including a data acquisition module, a calculation module, and a screening module;

[0032] The data acquisition module is used to acquire the working hour data of the sewing machine, and regard each working hour data as a rhythm; it includes:

[0033] The working hour data determination module is used to determine the time difference between the start time of each operation of the sewing machine and the end of the operation of the sewing machine;

[0034] The rhythm generation module is used to regard each working hour as a rhythm.

[0035] The calculation module is used to construct a screening algorithm to calculate the standard rhythm based on the working hour data of each rhythm;

[0036] The screening module is used to screen out the rhythms that meet the standard rhythm in the rhythm through a screening algorithm, and count the number of screened rhythms as the equipment output. It includes: a comparison module: used to compare the rhythm with the standard rhythm to obtain the rhythms in the rhythm that are not less than the standard rhythm.

[0037] Embodiment 2: In this embodiment, 100 rhythms are generated, the standard working hour is 30S, and among them, there are 5 rhythms less than 30S, so the current output is 100 - 5, that is, 95 pieces.

[0038] This application takes the rhythm of the sewing machine as the basis for calculating the output, sets an algorithm according to the production situation, uses the algorithm to eliminate the rhythms that do not conform to the single-piece production working hour data, and the remaining rhythms are the output data, improving the calculation accuracy. Based on the normal distribution combined with the root mean square and standard deviation, the optimal standard working hour value is obtained, which can well improve the accuracy of screening. Using algorithm automatic calculation instead of manual work to realize the intelligent monitoring of the output of the production line; taking the rhythm as the calculation basis, the sewing machine data can be directly used without adding additional hardware acquisition devices, reducing the consumption of hardware resources and human resources, reducing production costs, and improving production efficiency.

[0039] The specific embodiments described herein are merely illustrative of the spirit of the present invention. Those skilled in the art of the present invention can make various modifications or supplements to the described specific embodiments or use similar methods to replace them, but will not deviate from the spirit of the present invention or exceed the scope defined by the appended claims.

[0040] Although terms such as beat, standard beat, screening module, determination module, etc. are used more frequently in this text, the possibility of using other terms is not excluded. The use of these terms is only for more convenient description and explanation of the essence of the present invention; interpreting them as any kind of additional limitation is contrary to the spirit of the present invention.

Claims

1. A method for calculating the output of an Internet of Things sewing device based on beats, characterized in that Including: Obtain the working-hour data of the sewing machine, and regard each working-hour data as a beat. Construct a screening algorithm to calculate the standard beat based on each beat. Screen out the beats that meet the standard beat from the beats through the screening algorithm, and count the number of the screened beats as the equipment output. The construction of the screening algorithm to calculate includes: calculating the root mean square of all beats, calculating the standard deviation of all beats, and calculating the difference between the root mean square and the standard deviation as the standard beat.

2. The method for calculating the output of an Internet of Things sewing device based on beats according to claim 1, wherein The screening out of the beats that meet the standard beat from the beats through the screening algorithm includes: Screening out the beats that are not less than the standard beat from the beats.

3. A method for calculating the output of an Internet of Things sewing device based on beats according to claim 2, characterized in that, The obtaining of the working-hour data of the sewing machine includes: obtaining the time difference between the start and the end of each operation of the sewing machine.

4. A beat-based production calculation system for Internet of Things sewing equipment, which adopts the beat-based production calculation method for Internet of Things sewing equipment described in any one of claims 1-3, characterized in that, Including: A data acquisition module, configured to obtain the working-hour data of the sewing machine and regard each working-hour data as a beat. A calculation module, configured to construct a screening algorithm to calculate the standard beat based on the working-hour data of each beat. A screening module, configured to screen out the beats that meet the standard beat from the beats through the screening algorithm, and count the number of the screened beats as the equipment output.

5. The production calculation system of an Internet of Things sewing device based on beats according to claim 4, characterized in that, The data acquisition module includes: A working-hour data determination module, configured to determine the time difference between the start time of each operation of the sewing machine and the end of the operation of the sewing machine.

6. The output calculation system of the Internet of Things sewing equipment based on beats according to claim 4, wherein, The data acquisition module further includes: A beat generation module, configured to regard each working-hour as a beat.

7. A beat-based production calculation system for Internet of Things sewing equipment according to claim 4 or 5, characterized in that, The screening module further includes: A comparison module: configured to compare the beats with the standard beat to obtain the beats that are not less than the standard beat among the beats.

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