阅读说明：本技术 一种基于缝纫设备的智能计件方法及系统 (Intelligent piece counting method and system based on sewing equipment ) 是由 刘永 吴志涛 王欢 于 2020-12-30 设计创作，主要内容包括：本发明涉及一种基于缝纫设备的智能计件方法及其系统。为解决现有技术无法实现车工操作规范化、计件准确性、数据透明化等问题。本发明采用的方法为：1)管理员通过可视化终端中的Web客户端将操作工和工艺按照系统提供的匹配方式,形成一对一或一对多的任务文件,上传至服务器；2)操作工从服务器获取对应操作工的任务文件,确认任务并开始工作,操作工通过与用户终端连接的采集器获取的缝纫设备的工作数据对第一件产品完成机器学习,同时用户终端将机器学习结果与操作工和对应任务绑定后上传至服务器；3)操作工使用缝纫设备过程中,采集器获取的缝纫设备的工作数据满足机器学习的结果,计件数自动加1,同时用户终端将计件数实时上传至服务器。(The invention relates to an intelligent piece counting method and system based on sewing equipment. The system aims to solve the problems that in the prior art, the standardization of the operation of a lathe worker, the accuracy of counting pieces, the transparentization of data and the like cannot be realized. The method adopted by the invention comprises the following steps: 1) an administrator forms one-to-one or one-to-many task files by a Web client in a visual terminal according to a matching mode provided by a system for an operator and a process, and uploads the task files to a server; 2) an operator acquires a task file corresponding to the operator from a server, confirms the task and starts working, the operator completes machine learning on a first product through the working data of the sewing equipment acquired by a collector connected with a user terminal, and meanwhile, the user terminal binds a machine learning result with the operator and the corresponding task and uploads the machine learning result to the server; 3) in the process that an operator uses the sewing equipment, the working data of the sewing equipment acquired by the collector meets the machine learning result, the counting number is automatically added by 1, and meanwhile, the counting number is uploaded to the server by the user terminal in real time.)

1. An intelligent piece counting method based on sewing equipment is characterized in that: the method comprises the following steps:

1) an administrator forms one-to-one or one-to-many task files of an operator and a process according to a matching mode provided by a system through a Web client in a visual terminal, and uploads the task files to a server;

2) after an operator logs in a user terminal, the user terminal acquires a task file corresponding to the operator from a server, confirms the task and starts working, the operator finishes machine learning on a first product through the working data of the sewing equipment acquired by a collector connected with the user terminal, and meanwhile, the user terminal binds a machine learning result with the operator and the corresponding task and uploads the machine learning result to the server;

3) in the process that a follow-up operator uses the sewing equipment, the working data of the sewing equipment acquired by the collector meets the machine learning result, the number of pieces to be counted is automatically increased by 1, and meanwhile, the number of pieces to be counted is uploaded to the server by the user terminal in real time.

2. The intelligent workpiece counting method based on the sewing equipment as claimed in claim 1, characterized in that: the matching mode adopts three modes of matching according to personnel, matching according to procedures or automatic production arrangement, and when the matching is carried out according to personnel or matched according to processes, the matching is carried out by importing personnel and files of corresponding processes or selecting two modes one by one; when matching according to automatic scheduling, the system automatically matches according to the historical tasks, production efficiency, technical grade of operators and difficulty level of the clothes process.

3. The intelligent piece counting method based on the sewing equipment as claimed in claim 1 or 2, wherein: the machine learning is a result of acquiring the working data of the sewing equipment when the first product is sewn through the collector; the working data is one or more combined working data of the sewing equipment such as needle number, rotating speed, thread cutting number, foot lifting number, running time, idle time and the like.

4. The intelligent piece counting method based on the sewing equipment as claimed in claim 3, wherein: the task files are parameter guidance files and process teaching files of sewing equipment, and comprise text descriptions, picture files and video files;

the text description is used for describing parameter requirements and personnel operation requirements of the sewing equipment to an operator according to the clothing process change; the picture or video file is used for providing sewing operation teaching instruction contents and the like for operators.

5. The system of claim 1 for a sewing device based intelligent piece counting method, wherein: the system comprises a collector, a user terminal, a gateway, a server and a visual terminal; the visual terminal is sequentially connected with the server, the gateway, the user terminal and the collector.

6. The system of claim 5 for a sewing device based intelligent piece counting method, wherein: the visual terminal comprises a mobile phone, a tablet and a computer.

Technical Field

The invention belongs to the field of sewing equipment, and particularly relates to an intelligent piece counting method and system based on the sewing equipment.

Background

At present, garment processing enterprises adopt different salary counting modes, most garment processing enterprises adopt a piece-counting wage system, but another problem is brought to the enterprises, namely that workload is large, managers for counting wages of piece-counting workers need to frequently work, counting mistakes are made, and staff dissatisfaction is caused. Therefore, automatic piece counting through sewing equipment data is widely concerned by people in domestic and foreign industries.

With the development of the industrial internet of things, the traditional sewing equipment is upgraded to be controlled by a computer and has a sewing piece counting function, but the function is only limited to single equipment working data, such as the number of cut threads, during the sewing process of a worker, the cut threads in the middle of the sewing process caused by the fact that a bottom thread is used up, the thread is broken in the middle of the sewing process, a skip stitch and the like can also be counted into the number of pieces to cause errors, and meanwhile, the piece counting function of the equipment cannot enable the operation of the worker to be standardized, the piece counting accuracy, the data transparency and the like, so that the user requirements cannot be met.

Disclosure of Invention

In view of this, the problem that the prior art can not realize the standardization of the operation of the car-man, the accuracy of the piece counting, the transparentization of the data and the like is solved. The invention aims to provide an intelligent piece counting method and system based on sewing equipment.

In order to solve the problems in the prior art, the technical scheme of the invention is as follows: an intelligent piece counting method based on sewing equipment is characterized in that: the method comprises the following steps:

1) an administrator forms one-to-one or one-to-many task files of an operator and a process according to a matching mode provided by a system through a Web client in a visual terminal, and uploads the task files to a server;

2) after an operator logs in a user terminal, the user terminal acquires a task file corresponding to the operator from a server, confirms the task and starts working, the operator finishes machine learning on a first product through the working data of the sewing equipment acquired by a collector connected with the user terminal, and meanwhile, the user terminal binds a machine learning result with the operator and the corresponding task and uploads the machine learning result to the server;

3) in the process that a follow-up operator uses the sewing equipment, the working data of the sewing equipment acquired by the collector meets the machine learning result, the number of pieces to be counted is automatically increased by 1, and meanwhile, the number of pieces to be counted is uploaded to the server by the user terminal in real time.

Furthermore, the matching mode adopts three modes of matching according to personnel, matching according to procedures or automatic production arrangement, and when the matching is carried out according to personnel or matching according to processes, the matching is carried out by importing personnel and files of corresponding processes or selecting two modes one by one; when matching according to automatic scheduling, the system automatically matches according to the historical tasks, production efficiency, technical grade of operators and difficulty level of the clothes process.

Further, the machine learning is a result of acquiring, by the collector, the work data of the sewing device when sewing the first product; the working data is one or more combined working data of the sewing equipment such as needle number, rotating speed, thread cutting number, foot lifting number, running time, idle time and the like.

Further, the task files are parameter guidance files and process teaching files of the sewing equipment, and the task files comprise text descriptions, picture files and video files;

the text description is used for describing parameter requirements and personnel operation requirements of the sewing equipment to an operator according to the clothing process change; the picture or video file is used for providing sewing operation teaching instruction contents and the like for operators.

A system of an intelligent piece counting method based on sewing equipment comprises a collector, a user terminal, a gateway, a server and a visual terminal; the visual terminal is sequentially connected with the server, the gateway, the user terminal and the collector.

The visual terminal comprises a mobile phone, a tablet and a computer.

Compared with the prior art, the invention has the following advantages:

1) the invention can automatically count the parts according to the working data of the sewing equipment, thereby reducing the false alarm rate caused by human intervention;

2) the invention can be suitable for most sewing equipment, greatly increases the coverage rate of automatic piece counting equipment and ensures the reliability of data;

3) the invention can check the file-counting data in real time, so that the data is transparent in real time;

4) the invention can help garment processing enterprises to implement a piece-counting wage examination system, reduce the labor cost and improve the working efficiency.

Drawings

FIG. 1 is a schematic structural diagram of an intelligent component counting system according to the present invention;

FIG. 2 is a flow chart of the intelligent piece counting method of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

The embodiment provides an intelligent piece counting system based on sewing equipment, which comprises a collector 15, a user terminal 14, a gateway 13, a server 12 and a visualization terminal 11, as shown in fig. 1;

a collector: the device is connected with the sewing equipment and used for acquiring the working data of the sewing equipment;

a user terminal: the device is used for receiving the issued task file, is connected with one collector and is used for receiving the working data of the sewing equipment and uploading the working data to the server;

a server: the system is connected and communicated with at least one user terminal and is used for arranging the task files of the clothing products into task files to be issued and issuing the task files to be issued to corresponding operators;

at least one visualization terminal 11 is connected with the server 12, and is used for an administrator to program a task file and upload the task file to the server. It should be noted that the visualization terminal includes a mobile phone, a tablet and a computer;

a gateway is arranged between the server 12 and the user terminal 14, and the gateway is used for linking the user terminal and the server for data interaction. Through the gateway, one-to-many transmission can be realized. The gateway can reduce the technical requirements and cost of the user terminal and the technical performance requirements of the user terminal.

The working data of the sewing device comprises one or more combined working data of needle number, rotating speed, thread cutting number, foot lifting number, running time and idle time of the sewing device.

The task files are parameter guidance files and process teaching files of sewing equipment, and comprise text descriptions, picture files and video files;

the text description is used for describing parameter requirements and personnel operation requirements of the sewing equipment to an operator according to the clothing process change;

the picture or video file is used for providing sewing operation teaching instruction contents and the like for the operator.

An intelligent piece counting method based on sewing equipment is as shown in figure 2:

1) an administrator forms a one-to-one-to-many task file of an operator and a process according to a matching mode provided by a system through a Web client in a visual terminal, and uploads the task file to a server;

2) after the operator logs in the user terminal, the user terminal acquires the task file corresponding to the operator from the server through the network, confirms the task and starts working. An operator completes machine learning on a first product through the work data of the sewing equipment acquired by a collector connected with a user terminal, and meanwhile, the user terminal binds a machine learning result with the operator and a corresponding task and uploads the machine learning result to a server;

3) in the process that a subsequent operator uses the sewing equipment, the working data of the sewing equipment acquired by the collector meets the machine learning result, the number of pieces to be counted is automatically increased by 1, and meanwhile, the number of pieces to be counted is uploaded to the server by the user terminal in real time; and if the operator presses the pause piece counting instruction at the user terminal, stopping counting the pieces.

The matching mode adopts three modes of matching according to personnel, matching according to procedures or automatic production scheduling. When matching is carried out according to personnel or matching is carried out according to the process, the personnel and the files of the corresponding process are led in or two modes are selected one by one for matching; when matching according to automatic scheduling, the system automatically matches according to the historical tasks, production efficiency, technical grade of operators and difficulty level of the clothes process.

The machine learning is a result of acquiring the working data of the sewing equipment when the first product is sewn through the collector; the working data is one or more combined working data of the sewing equipment such as needle number, rotating speed, thread cutting number, foot lifting number, running time, idle time and the like.

The task files are parameter guidance files and process teaching files of sewing equipment, and comprise text descriptions, picture files and video files;

the text description is used for describing parameter requirements and personnel operation requirements of the sewing equipment to an operator according to the clothing process change; the picture or video file is used for providing sewing operation teaching instruction contents and the like for operators.

After the operator completes machine learning of the equipment working data of the first process, the method can calculate the piece counting number in the sewing process by taking the calculation model as the basis. The method determines the number of pieces to be sewn according to the equipment working data in the first sewing process, and because the sewing action is manually operated, deviation probably exists between the sewing action and part of parameters of the learning result of the first process machine in the subsequent sewing process, but the influence of the existing deviation on the final statistical result is smaller according to the equipment working data in the whole sewing process, therefore, the intelligent piece counting method based on the sewing equipment can improve the piece counting accuracy of the sewing equipment.

The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and it should be noted that those skilled in the art should make modifications and variations without departing from the principle of the present invention.