Production optimization method based on visual management system

Abstract

The invention provides a production optimization method based on a visual management system. The method comprises the following steps: S1, establishing a visual management system and carrying out production data acquisition; s2, performing data management on the collected production data; s3, the visual management system carries out real-time monitoring and early warning on the production data; s4, the visual management system displays the production data by using a graphical interface; and S5, carrying out production efficiency statistics according to the production data. According to the invention, through real-time acquisition, storage, processing and analysis of production data, in combination with the steps of deep data analysis and prediction, real-time monitoring and early warning, visual data display, production efficiency statistics and analysis and the like, comprehensive optimization management of the production process is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of data management, and particularly relates to a production optimization method based on a visualization management system. Background Art

[0002] In modern manufacturing enterprises, production management is one of the cores of enterprise operation. The traditional production management method mainly records and statistics production data manually. This method is not only inefficient but also prone to errors and delays. With the development of computer technology and Internet technology, the production visualization management system has emerged. The production visualization management system collects production data in real time and displays it visually to managers, enabling managers to grasp the production status in real time, discover problems in a timely manner and take measures, thereby improving production efficiency and product quality.

[0003] The existing production visualization management systems mainly use hardware devices and software systems such as sensors, data collectors, data transmission networks, and data analysis platforms to realize the real-time collection, transmission, and analysis of production data. Although the existing production visualization management systems have played an important role in improving production efficiency and quality control, there are still some problems and limitations. First, the existing systems usually rely on the installation and maintenance of hardware devices, with high costs, and require professional personnel to operate and maintain, increasing the burden on enterprises. Summary of the Invention

[0004] The present invention provides a production optimization method based on a visualization management system. The improvement lies in that the method includes

[0005] Step S1: Establish a visualization management system and collect production data;

[0006] Step S2: Manage the collected production data;

[0007] Step S3: The visualization management system monitors and warns the production data in real time;

[0008] Step S4: The visualization management system uses a graphical interface to display the production data;

[0009] Step S5: Statistically analyze the production efficiency according to the production data.

[0010] Further, the step S1 includes establishing a visualization management system and connecting the sensors and control devices of production equipment to collect production data in real time for storage, processing, and analysis.

[0011] Furthermore, the development language of the visualization management system is C#.net 7.0, the database uses MySQL, the data analysis tool uses the ClickHouse database management system, and the Redis key-value caching system is used. The MQTT communication protocol is adopted to transmit the collected data to the visualization management system in real time.

[0012] Further, step S2 includes data management of the collected production data such as production efficiency, speed dynamics, line stop statistics, and various statistical reports.

[0013] Furthermore, adjust the production plan according to the changes in the collected production efficiency, speed dynamics, and line stop statistics.

[0014] Further, step S3 includes that the interface of the visualization management system updates and displays the production data in real time and sets the warning threshold, and triggers an alarm when the data is abnormal through line stop warning and scan code exception alarm.

[0015] Further, step S4 includes that the visualization management system uses a graphical interface and interactive charts to visually display the production data in a graphical way.

[0016] Furthermore, show the change trend of production efficiency through a line chart and show the proportion of each production link through a pie chart.

[0017] Further, step S5 includes that the visualization management system automatically statistics and analyzes the production data according to the production data and generates charts of various production efficiency indicators.

[0018] Beneficial effects:

[0019] By collecting, storing, processing, and analyzing production data in real time, combining steps such as in-depth data analysis and prediction, real-time monitoring and warning, visual data display, and production efficiency statistics and analysis, the present invention realizes the comprehensive optimization management of the production process, provides comprehensive data support and decision-making basis for production optimization. By continuously optimizing and improving the visualization management system, predicting future production trends, diagnosing problems, and tracing quality, an alarm is issued in time before production anomalies or problems occur, reminding managers to take measures to avoid losses, thereby realizing the optimization management of the production process, further improving production efficiency, reducing production costs, and enhancing the competitiveness of the enterprise.

[0020] The visualization management system of the present invention adopts an intuitive and easy-to-understand visualization interface design, enabling managers at all levels and relevant staff to easily master the production status, stimulating the participation and sense of responsibility of personnel at all levels, and promoting the improvement of work efficiency.

[0021] The visualization management system of the present invention combines software and hardware, adopts unique serial code collection, and has significant advantages in terms of data granularity and traceability (fine data granularity and more accurate traceability); moreover, it has high real-time performance, the collected data granularity is finer, and it can reflect the production process and production status of the production line in real time, which helps to quickly discover problems and optimize production, improving production efficiency and product quality.

[0022] Generally speaking, the production visualization management system of the present invention is superior to the prior art in terms of cost-effectiveness, in-depth analysis, real-time dynamic display, user-friendly interface and data traceability, and can bring greater value and competitive advantages to enterprises.

[0023] It should be understood that the above general description and the following specific embodiments are only exemplary and explanatory, and they do not limit the scope claimed by this application. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a flowchart of a production optimization method based on a visualization management system according to the present invention;

[0025] It should be understood that the drawings do not have to be drawn to scale, presenting a slightly simplified representation of various features illustrating the basic principles of the present disclosure. Specific design features of the present invention as disclosed herein, including, for example, specific dimensions, orientations, positions, and shapes, will be determined in part by the particular intended application and use environment.

[0026] In the figures, throughout several views of the drawings, reference numerals refer to the same or equivalent parts of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] Now, various embodiments of the present invention will be described in detail, and the embodiments are illustrated in the drawings and described below. Although the present invention will be described in connection with the exemplary embodiments of the present invention, it should be understood that this specification is not intended to limit the present invention to those exemplary embodiments. On the other hand, the present invention is intended to cover not only the exemplary embodiments of the present invention, but also various alternatives, modifications, equivalents, and other embodiments, which may be included within the spirit and scope of the present invention as defined by the appended claims.

[0028] Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the drawings. The specific structures and functions described in the exemplary embodiments of the present invention are only for illustrative purposes. Embodiments according to the concept of the present invention can be implemented in various forms, and it should be understood that they should not be construed as being limited by the exemplary embodiments described in the exemplary embodiments, but include all modifications, equivalents, or alternatives included within the spirit and scope of the present invention.

[0029] Throughout the specification, the technical terms used herein are only for describing various exemplary embodiments and are not intended to limit. It will be further understood that terms such as "comprising", "including", "having", etc., when used in the exemplary embodiments, specifically refer to the existence of the stated components, steps, operations or elements, but do not exclude the existence or addition of one or more other components, steps, operations or elements.

[0030] As Figure 1 shown, the present invention provides a production optimization method based on a visualization management system, and the method includes the following steps:

[0031] Step 1: Establish a visualization management system and collect production data;

[0032] 1. Establish a visualization management system, which collects production data in real time through the network connecting the sensors and control devices of the production equipment, and stores, processes and analyzes the data;

[0033] 2. The development language of the system is C#.net 7.0, the database uses MySQL, the data analysis tool uses the ClickHouse database management system, and the Redis key-value caching system is used.

[0034] Among them, the C#.net 7.0 development language has powerful data processing capabilities and rich library resources; the MySQL database, as the carrier of data storage, supports high-concurrency access and complex queries; the data analysis tool uses the ClickHouse column-oriented high-performance database management system for speed dynamics and line-stop statistics analysis; the Redis key-value caching system is used to improve the read and write speed of the system, which is suitable for persistent, high-performance and high-concurrency scenarios;

[0035] The visualization management system uses the MQTT communication protocol widely used in the industrial Internet of Things to transmit the collected data to the visualization management system in real time;

[0036] The transmitted data is divided into three categories: 1. Receive production task information through the WorkTask / Action topic, including production task information, product information, three periods (production batch number, production date, expiration date) and task status; 2. Receive the collection information of the barcode reader through the WorkTask / ScanIn topic, and the information includes traceability code, code level, scanning time, task number, collection status; 3. Upload the packaging association relationship data of the full pallet and full box production tasks through the WorkTask / Pack topic for the inbound and outbound traceability business.

[0037] Step 2: Manage the collected production data;

[0038] Manage the production data collected on production efficiency, speed dynamics, line stop statistics, and various statistical reports;

[0039] Adjust the production plan according to the changes in the collected production efficiency, speed dynamics, and line stop statistics, so as to provide data support for production optimization.

[0040] Step 3: The visualization management system monitors and warns the production data in real time;

[0041] 1. The interface of the visualization management system updates and displays the production data in real time, sets the warning threshold, and triggers an alarm when the data is abnormal;

[0042] 2. The visualization management system updates and displays the changes in production data in real time, shows the real-time status of each production link, and uses a graphical interface (such as line charts, pie charts, etc.) to show the change trend and proportion of production data;

[0043] 3. Set up a warning mechanism to trigger an alarm when the data is abnormal; the alarm information includes detailed information such as abnormal data values and abnormal times, which is convenient for quickly locating problems;

[0044] 4. When the production data is abnormal, an alarm can be issued in time to remind relevant personnel to take measures. For example: support code collection abnormal alarm, line stop alarm; both will be displayed in real time on the visualization large screen. All abnormalities except normal code scanning are regarded as alarms, such as: noread, duplicate code scanning, code does not exist, code level error, etc.

[0045] Step 4: The visualization management system uses a graphical interface to display production data;

[0046] 1. The visualization management system uses a graphical interface and interactive charts to visually display the production data, and displays it in a graphical way to improve the readability and understandability of the data;

[0047] 2. Use a graphical interface, such as line charts, pie charts, etc., to show the change trend and achievement rate of production data;

[0048] 3. Provide interactive charts that allow users to adjust chart parameters according to needs, such as time range, data dimension, etc.;

[0049] 4. Show the change trend of production efficiency through a line chart to help users understand the stability of the production process; show the proportion of each production link through a pie chart to help users optimize the allocation of production resources.

[0050] Step 5: Conduct production efficiency statistics based on production data;

[0051] The visual management system automatically counts and analyzes production data, generates charts of various production efficiency indicators, facilitating problem diagnosis and quality traceability for users; and provides a data export function to facilitate further data analysis and report generation by users, enhancing the refinement and intelligence levels of production management.

[0052] For example, the production visual management system automatically refreshes production data, helping enterprise managers to understand the daily production progress in real time, identify problems existing in the production process, adjust the production scheduling plan in a timely manner, and improve production efficiency.

[0053] The visual management system of the present invention can monitor the production status in real time, discover problems and take measures in a timely manner, thereby improving production efficiency and product quality; at the same time, it can conduct in-depth analysis and prediction of production data, providing strong support for the refined management and optimization of enterprises; by visually displaying the dynamic changes in the production process, problems can be discovered and solved in a timely manner, further improving production efficiency and quality control levels; the visual management system can also provide detailed production data statistics and analysis, providing data support for quality traceability management, thereby improving product quality and customer satisfaction; through data visualization display, users can more intuitively understand the production process and data changes, thereby improving the efficiency and accuracy of data analysis.

[0054] The foregoing description of specific exemplary embodiments of the present invention has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise forms disclosed, and obviously, many modifications and variations are possible in light of the above teachings. The exemplary embodiments were chosen and described to explain certain principles of the invention and their practical applications so that others skilled in the art may make or utilize various exemplary embodiments of the invention, as well as their various alternatives and modifications. The intention is that the scope of the invention be defined by the claims appended hereto and their equivalents.

[0055] The foregoing description of specific exemplary embodiments of the invention has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise forms disclosed, and obviously, many modifications and variations are possible in light of the above teachings. The exemplary embodiments were chosen and described to explain certain principles of the invention and their practical applications so that others skilled in the art may make or utilize various exemplary embodiments of the invention, as well as their various alternatives and modifications. The intention is that the scope of the invention be defined by the claims appended hereto and their equivalents.

[0056] It is understood that the above embodiments are merely exemplary embodiments adopted to illustrate the principles of the present invention, but the present invention is not limited thereto. For those of ordinary skill in the art, various modifications and improvements can be made without departing from the spirit and essence of the present invention, and these modifications and improvements are also regarded as the protection scope of the present invention.

Claims

1. A production optimization method based on a visualization management system, characterized in that The method includes the following steps: Step S1: Establish a visual management system and collect production data; Step S2: Manage the collected production data; Step S3: The visual management system monitors and warns the production data in real time; Step S4: The visual management system uses a graphical interface to display production data; Step S5: Statistically analyze production efficiency based on production data.

2. The production optimization method based on a visualization management system according to claim 1, wherein The said Step S1 includes establishing a visual management system and connecting sensors and control devices of production equipment to collect production data in real time for storage, processing and analysis.

3. The production optimization method based on a visualization management system according to claim 2, wherein, The development language of the visual management system is C#.net 7.0, the database uses MySQL, the data analysis tool uses the ClickHouse database management system, and the Redis key-value caching system is used. The MQTT communication protocol is adopted to transmit the collected data to the visual management system in real time.

4. A production optimization method based on a visualization management system according to claim 1, characterized in that The said Step S2 includes managing the production data of collected production efficiency, speed dynamics, line stop statistics and various statistical reports.

5. A production optimization method based on a visualization management system according to claim 4, characterized in that Adjust the production plan according to the changes in the collected production efficiency, speed dynamics and line stop statistics.

6. The production optimization method based on a visualization management system according to claim 1, wherein, The said Step S3 includes that the interface of the visual management system updates and displays production data in real time, sets warning thresholds, and triggers an alarm when the data is abnormal.

7. A production optimization method based on a visualization management system according to claim 1, characterized in that The said Step S4 includes that the visual management system uses a graphical interface and interactive charts to visually display production data in a graphical way.

8. A production optimization method based on a visualization management system according to claim 7, characterized in that Show the change trend of production efficiency through a line chart and show the proportion of each production link through a pie chart.

9. A production optimization method based on a visualization management system according to claim 1, characterized in that, The said Step S5 includes that the visual management system automatically statistically analyzes production data according to production data and generates charts of various production efficiency indicators.

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