Controller of main machine of down filling machine and control system thereof

Abstract

The invention discloses a controller of a down filling machine host and a control system thereof, and relates to the technical field of down filling machine homes.The controller comprises the following functional modules: a system main interface comprises a home page introduction module, an equipment module, a personal center module, a visualization and server management module and an energy consumption management module; the home page introduction module is used for displaying energy consumption parameters, an energy consumption yield curve graph and latest alarm information of each device; and the equipment module is used for searching appointed equipment, adding new equipment and entering an equipment detail interface capable of entering. According to the controller of the down filling machine host and the control system thereof, through AI intelligence, big data calculation and other technologies, equipment state real-time monitoring, fault automatic early warning and remote control are achieved, manual intervention is reduced, the production automation degree is improved, the production environment is monitored in an all-around mode, the accident risk is reduced, the energy consumption management platform monitors energy consumption in real time, and the control system is suitable for popularization and application. And a trend curve is generated to help an enterprise to accurately control the energy consumption condition and reduce the cost.

Description

Technical Field

[0001] This invention relates to the field of down filling machine main unit technology, specifically to a controller and control system for a down filling machine main unit. Background Technology

[0002] A down filling machine is a specialized piece of equipment used to quantitatively fill clothing, home textiles, and other products with down and other filling materials. To achieve automated production, a control system typically monitors the parameters of the down filling machine in real time and performs feedback analysis. Based on the changes in these parameters, the system adjusts the operating parameters in real time to ensure the normal operation of production.

[0003] Most existing down filling machine control systems operate independently, making it difficult to achieve collaborative management of multiple devices. They also only support basic down filling operations and lack data management and analysis functions. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a controller and control system for a down filling machine, solving the problems mentioned in the background section.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a controller for a down filling machine main unit, wherein the controller includes the following functional modules: The system's main interface includes a homepage introduction module, a device module, a personal center module, a visualization and server management module, and an energy management module. The homepage introduction module displays the energy consumption parameters, energy consumption-output curves, and latest alarm information for each device. The device module is used to search for specified devices, add new devices, and access the device details interface; The personal center module is used to view and modify account information, as well as to query logs; The visualization and server management module provides a visual display interface for data related to the down filling machine and uses a large screen to display various key data of down filling production management in real time. The energy consumption management module is used to display the consumption data of compressed air, State Grid electricity, natural gas, tap water, and steam energy in real time, generate energy consumption trend curves, and trigger an alarm mechanism when data exceeds the threshold.

[0006] A control system, applied to the controller of the aforementioned down filling machine main unit, the control system comprising the following processes: Step 1: Using the "Add New Device" function in the device module, enter the device information as prompted to complete the device entry and upload, thus integrating the device into the control system; Step 2: The main interface of the equipment module allows you to view real-time data such as equipment signal strength, power consumption, and output, and displays the real-time status of the equipment. The equipment details interface of the equipment module also includes an alarm setting function. After entering the alarm setting interface, you can select the alarm method and alarm time interval. After the system receives an alarm, the alarm capture display area in the device details interface can display real-time images and fault information of the corresponding device. The alarm capture display area is equipped with AI intelligent functions. Through the code query function in the AI ​​intelligent function, specific problems can be found based on the fault information, and the device can be remotely controlled or staff can be notified to go to the site for troubleshooting. Step 3: On the personal center interface, you can query various historical log information and find and filter the data. You can also access the server management platform to export device records and archive control log data. Step 4: Display various key data of down filling production management through a large screen display of the visualization and server management module; Step 5: In the energy management module interface, you can compare the energy consumption difference between the current day and the same period of the previous month through the energy consumption trend curve, and you can also view the month-on-month or year-on-year data of electricity and natural gas energy consumption.

[0007] Furthermore, in step one, the equipment details interface contains basic information. Rated power, production speed, and latitude and longitude coordinates can be filled in on the basic information interface, and equipment display diagrams and work order information can be uploaded to support subsequent visual management. The equipment details page also displays core data such as running time, standby time, and production progress.

[0008] Furthermore, in step two, the energy consumption and output curves on the homepage introduction module interface allow users to compare today's and historical energy consumption and output trends.

[0009] Furthermore, in step two, the AI ​​intelligent function also includes a hardware communication parameter setting function and a custom alarm threshold function. The hardware communication parameter setting function is used to set the device communication parameters, while the custom alarm threshold function is used to set the alarm threshold for each parameter and the parameter acquisition cycle.

[0010] Furthermore, in step two, the device module also includes a personnel positioning function. This function collects the location of personnel associated with the device through the APP and supports device search and status filtering.

[0011] Furthermore, in step four, the various key data include, but are not limited to, compressed air, State Grid electricity, natural gas data, as well as early warning statistics, real-time monitoring weight and production data.

[0012] Furthermore, in step four, the visualization and server management module can also centrally manage devices, alarms, historical data, and control records, and support users in setting and managing device information, alarm information, and user permissions.

[0013] Furthermore, in step five, the energy management module interface also displays the number of alarms received, provides timely warnings of abnormal energy consumption, and statistically displays the carbon emissions for the year and the year-on-year trend for the previous month.

[0014] This invention provides a controller and control system for a down filling machine, which has the following advantages: 1. The controller and control system of the down filling machine main unit, through AI intelligence, big data computing and other technologies, realize real-time monitoring of equipment status, automatic fault early warning and remote control, reduce manual intervention, improve the degree of production automation, and conduct comprehensive monitoring of the production environment, timely detect safety hazards such as open flames and high temperatures and alarm, reduce accident risks. Moreover, the energy consumption management platform monitors energy consumption in real time and generates trend curves to help enterprises accurately control energy consumption and reduce costs. Attached Figure Description

[0015] Figure 1 This is a schematic block diagram of the functional modules of the present invention. Detailed Implementation

[0016] The embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and should not be construed as limiting the scope of the invention.

[0017] like Figure 1 As shown, the present invention provides a technical solution: a controller for a down filling machine main unit, the controller of the down filling machine main unit including the following functional modules: The system's main interface includes a homepage introduction module, a device module, a personal center module, a visualization and server management module, and an energy management module. The homepage introduction module displays the energy consumption parameters, energy consumption-output curves, and latest alarm information for each piece of equipment. It centrally displays equipment energy consumption parameters such as today's energy consumption, electricity savings, energy consumption-output curves, and the latest alarm information such as open flame and high temperature alarms. This allows for a clear view of the relationship between production efficiency and energy consumption, facilitating the quick identification of periods of abnormal energy consumption. By comparing historical data with the curves, it helps to formulate capacity optimization strategies, such as adjusting production speed to reduce energy consumption. Real-time alarm information pushes can also shorten fault response time and reduce production losses. The device module is used to search for specified devices, add new devices, and access the device details interface. It supports device search and addition, viewing device signal strength, power, output, and operating status, and allows access to the details page to manage device parameters. This enables unified management of multiple devices, quick location of target devices, and improved operation and maintenance efficiency. Real-time status monitoring can detect device anomalies such as weak signal and low power in advance, preventing downtime. The parameter configuration on the device details page, such as rated power and production speed, provides data support for precise production. The personal center module is used to view and modify account information, as well as to query logs; The visualization and server management module provides a visual display interface for data related to the down filling machine and uses a large screen to display various key data of down filling production management in real time. The energy management module displays real-time consumption data for compressed air, grid electricity, natural gas, tap water, and steam, generates energy consumption trend curves, and triggers an alarm mechanism when data exceeds thresholds. It displays energy consumption data in real time, generates energy consumption trend curves, triggers alarms when limits are exceeded, and calculates carbon emissions. This allows for precise monitoring of energy consumption, identification of wasteful processes such as excessive standby energy consumption of certain equipment, reduction of production costs, and prevention of abnormal energy consumption through alarm mechanisms. Carbon asset management helps enterprises meet environmental compliance requirements.

[0018] A control system, applied to the controller of the aforementioned down filling machine main unit, the control system comprising the following processes: Step 1: Using the "Add New Device" function in the device module, enter the device information as prompted to complete the device entry and upload, thus integrating the device into the control system; The equipment details interface contains basic information. On the basic information interface, users can fill in the rated power, production speed, latitude and longitude coordinates, and upload equipment display diagrams and work order information to support subsequent visual management. On the equipment details page, you can also view core data such as running time, standby time, and production progress; Step 2: The main interface of the equipment module allows you to view real-time data such as equipment signal strength, power consumption, and output, and displays the real-time status of the equipment. The equipment details interface of the equipment module also includes an alarm setting function. After entering the alarm setting interface, you can select the alarm method and alarm time interval. After the system receives an alarm, the alarm capture display area in the device details interface can display real-time images and fault information of the corresponding device. The alarm capture display area is equipped with AI intelligent functions. Through the code query function in the AI ​​intelligent function, specific problems can be found based on the fault information, and the device can be remotely controlled or staff can be notified to go to the site for troubleshooting. On the homepage, the energy consumption and output curves allow users to compare today's energy consumption and output trends with historical trends. The AI ​​intelligent functions also include the ability to set hardware communication parameters and the ability to customize alarm thresholds. The hardware communication parameter setting function is used to configure device communication parameters, while the alarm threshold setting function is used to set alarm thresholds for each parameter and the parameter acquisition cycle. For example: Configure hardware communication parameters, including baud rate and PLC type FX3U; Customizable alarm thresholds, such as a high temperature of 30°C and a data acquisition period of 5000 milliseconds; The device module also includes a personnel location function, which allows users to view the location of personnel associated with the device through the APP, and supports device search and status filtering. Step 3: On the personal center interface, you can query various historical log information and find and filter the data. You can also access the server management platform to export device records and archive control log data. Step 4: Display various key data of down filling production management through a large screen display of the visualization and server management module; Key data include, but are not limited to, compressed air, State Grid electricity, and natural gas data, as well as early warning statistics, real-time monitoring of weight and production data; The visualization and server management module can also centrally manage devices, alarms, historical data, and control records, and supports users in setting and managing device information, alarm information, and user permissions; Step 5: In the energy management module interface, you can compare the energy consumption difference between the current day and the same period of the previous month through the energy consumption trend curve, and you can also view the month-on-month or year-on-year data of electricity and natural gas energy consumption. The energy management module interface also displays the number of alarms received, provides timely warnings of abnormal energy consumption, and statistically displays the carbon emissions for the year and the year-on-year trend for the previous month.

[0019] Based on the above description, this invention uses AI intelligence, big data computing and other technologies to achieve real-time monitoring of equipment status, automatic fault early warning and remote control, reduce manual intervention, improve the degree of production automation, and conduct comprehensive monitoring of the production environment, timely detect and alarm on safety hazards such as open flames and high temperatures, reduce accident risks, and the energy management platform monitors energy consumption in real time and generates trend curves to help enterprises accurately control energy consumption and reduce costs.

[0020] In summary, when using the controller and control system of this down filling machine, first scan the QR code on the machine body, then enter basic information such as the machine name, factory, and location as prompted, upload and save the machine image to complete the addition process; In "Equipment Details - Basic Information", fill in parameters such as rated power, production speed, latitude and longitude coordinates, and upload equipment display diagrams and work order information to support subsequent visual management; View real-time data such as device signal strength (R value), power consumption, and output on the "Device" page; Equipment status identification: green (normal operation), yellow (abnormal standby), red (alarm shutdown); View the "Energy Consumption and Production Curve" on the homepage for a direct comparison of today's and historical energy consumption and production trends; View key data such as uptime, standby time, and production progress on the equipment details page; Enter the "Alarm Settings" page and select notification methods such as official account, telephone, and SMS. This will automatically send a warning according to the preset alarm method when the alarm mechanism is triggered. Customize alarm intervals, such as 5 minutes, and the number of repetitions; set SMS / voice content. After receiving an alarm such as the M201 high temperature alarm, check "Equipment Details - Alarm Photo Capture" to confirm the fault; Professionals can use "AI Intelligence - Fault Code" to query specific problems such as exceeding the temperature threshold of 30℃, remotely control equipment or conduct on-site troubleshooting. Once staff arrive on-site, they can manually take photos to obtain real-time images of the equipment to assist in fault diagnosis. On the "AI Intelligence" page, set hardware communication parameters such as baud rate and PLC type FX3U; Customizable alarm thresholds, such as a high temperature of 30°C and a data acquisition period of 5000 milliseconds; Access the "Energy Management Platform - Visual Dashboard" to view month-on-month or year-on-year data on energy consumption such as electricity and natural gas; By comparing the energy consumption difference between the current day and the same period last month using the "energy consumption trend curve", production energy consumption can be optimized. Record this year's carbon emissions and the year-on-year trend of last month, generate emissions reports, and support environmental compliance management; In the personal center, you can view "Collection Logs" and "Alarm Logs" and filter by time range, such as 2025-02-19; The "Historical Data Collection" section on the equipment details page generates a graph to track changes in production data.

[0021] The embodiments of the present invention are given for illustrative and descriptive purposes only, and are not intended to be exhaustive or to limit the invention to the forms disclosed. Many modifications and variations will be apparent to those skilled in the art. The embodiments were chosen and described in order to better illustrate the principles and practical application of the invention, and to enable those skilled in the art to understand the invention and to design various embodiments with various modifications suitable for a particular purpose.

Claims

1. A controller for a down filling machine main unit, characterized in that: The controller of the down filling machine includes the following functional modules: The system's main interface includes a homepage introduction module, a device module, a personal center module, a visualization and server management module, and an energy management module. The homepage introduction module displays the energy consumption parameters, energy consumption-output curves, and latest alarm information for each device. The device module is used to search for specified devices, add new devices, and access the device details interface; The personal center module is used to view and modify account information, as well as to query logs; The visualization and server management module provides a visual display interface for data related to the down filling machine and uses a large screen to display various key data of down filling production management in real time. The energy consumption management module is used to display the consumption data of compressed air, State Grid electricity, natural gas, tap water, and steam energy in real time, generate energy consumption trend curves, and trigger an alarm mechanism when data exceeds the threshold.

2. A control system applied to the controller of the down filling machine main unit as described in claim 1, characterized in that: The control system includes the following processes: Step 1: Using the "Add New Device" function in the device module, enter the device information as prompted to complete the device entry and upload, thus integrating the device into the control system; Step 2: The main interface of the equipment module allows you to view real-time data such as equipment signal strength, power consumption, and output, and displays the real-time status of the equipment. The equipment details interface of the equipment module also includes an alarm setting function. After entering the alarm setting interface, you can select the alarm method and alarm time interval. After the system receives an alarm, the alarm capture display area in the device details interface can display real-time images and fault information of the corresponding device. The alarm capture display area is equipped with AI intelligent functions. Through the code query function in the AI ​​intelligent function, specific problems can be found based on the fault information, and the device can be remotely controlled or staff can be notified to go to the site for troubleshooting. Step 3: On the personal center interface, you can query various historical log information and find and filter the data. You can also access the server management platform to export device records and archive control log data. Step 4: Display various key data of down filling production management through a large screen display of the visualization and server management module; Step 5: In the energy management module interface, you can compare the energy consumption difference between the current day and the same period of the previous month through the energy consumption trend curve, and you can also view the month-on-month or year-on-year data of electricity and natural gas energy consumption.

3. The control system according to claim 2, characterized in that: In step one, the equipment details interface contains basic information. Rated power, production speed, latitude and longitude coordinates can be filled in on the basic information interface, and equipment display diagrams and work order information can be uploaded to support subsequent visual management. The equipment details page also displays core data such as running time, standby time, and production progress.

4. A control system according to claim 2, characterized in that: In step two, on the homepage introduction module interface, the energy consumption and output curve chart can be used to compare today's and historical energy consumption and output trends.

5. A control system according to claim 2, characterized in that: In step two, the AI ​​intelligent function also includes the function of setting hardware communication parameters and the function of customizing alarm thresholds. The function of setting hardware communication parameters is used to set the device communication parameters, while the function of customizing alarm thresholds is used to set the alarm thresholds for each parameter and the parameter acquisition cycle.

6. A control system according to claim 2, characterized in that: In step two, the device module also includes a personnel positioning function. The personnel positioning function collects the location of personnel associated with the device through the APP and supports device search and status filtering.

7. A control system according to claim 2, characterized in that: In step four, the key data includes, but is not limited to, compressed air, State Grid electricity, natural gas data, as well as early warning statistics, real-time monitoring weight and production data.

8. A control system according to claim 2, characterized in that: In step four, the visualization and server management module can also centrally manage devices, alarms, historical data, and control records, and supports users in setting and managing device information, alarm information, and user permissions.

9. A control system according to claim 2, characterized in that: In step five, the energy management module interface also displays the number of alarms received, provides timely warnings of abnormal energy consumption, and statistically displays the carbon emissions for the year and the year-on-year trend for the previous month.

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