Frequency converter data visualization system

Abstract

The utility model discloses a frequency converter data visualization system which comprises a PLC data collector, an industrial Raspberry Pi and a display. The PLC data acquisition unit is in signal connection with the frequency converter through a profibus connecting line so as to read and obtain sensing data in the frequency converter; the industrial Raspberry Pi is in communication connection with the PLC data collector through a TCP / IP (Transmission Control Protocol / Internet Protocol) communication line and is in signal connection with the display through an HDMI (High Definition Multimedia Interface) connection line, and the industrial Raspberry Pi is used for carrying out secondary collection and storage on data read by the PLC data collector and then transmitting the data to the display for monitoring and analysis. According to the utility model, the acquisition visualization level and the intelligent level of production data are improved.

Description

Technical Field

[0001] The utility model relates to the technical field of frequency converter data acquisition, and more specifically, to a frequency converter data visualization system. Background Art

[0002] In the cigarette production process, frequency converters (VFDs) control the speed and torque of the main drive motors in cigarette making and packaging machines. When problems occur or threaten to occur in these machines, the output voltage, current, torque, and speed are increased or decreased accordingly to address the impending issue and ensure smooth machine operation. However, reading VFD data during operation is difficult, especially since industrial enterprises often use older models for stability, making real-time visual monitoring and analysis of VFD control parameters impossible. Therefore, visually collecting VFD data on tobacco production lines is crucial. Utility Model Content

[0003] The utility model provides a frequency converter data visualization system, which solves the problem of inconvenient frequency converter data reading in existing cigarette making machines and packaging machines, can improve the visualization and intelligence level of production data collection, and improve production efficiency.

[0004] In order to achieve the above objectives, the present invention provides the following technical solutions:

[0005] A frequency converter data visualization system, comprising: a PLC data collector, an industrial Raspberry Pi, and a display;

[0006] The PLC data collector is connected to the frequency converter signal via a profibus connection line to read the sensor data in the frequency converter;

[0007] The industrial Raspberry Pi is connected to the PLC data collector via a TCP / IP communication line and is connected to the display signal via an HDMI cable. The industrial Raspberry Pi is used to perform secondary collection and storage of the data read by the PLC data collector, and then transmit it to the display for monitoring and analysis.

[0008] Preferably, the industrial Raspberry Pi is provided with an embedded system and a storage database for secondary data collection and storage.

[0009] Preferably, the display is provided with a human-computer interaction interface, the human-computer interaction interface is provided with a start button and a stop button for data acquisition, and displays the data curve of the corresponding parameters stored in the database in real time.

[0010] Preferably, it also includes: an Arduino single chip microcomputer, a current sensor, a voltage sensor and a speed sensor;

[0011] The current sensor and the voltage sensor are arranged on the power lines of the corresponding motors of the cigarette making machine and the packaging machine, and the speed sensor is arranged on the speed shafts of the corresponding motors of the cigarette making machine and the packaging machine;

[0012] The Arduino single chip microcomputer is respectively connected to the current sensor, the voltage sensor and the speed sensor signals to obtain the current data, voltage data and speed data of the corresponding motors of the cigarette making machine and the packaging machine.

[0013] Preferably, the Arduino single chip microcomputer is connected to the industrial Raspberry Pi via a serial port, and the collected data is transmitted in real time to a storage database of the industrial Raspberry Pi for storage.

[0014] Preferably, the human-computer interaction interface compares the collected data of the Arduino microcontroller with the collected data of the industrial Raspberry Pi and displays them on split screens.

[0015] Preferably, it also includes: an alarm device;

[0016] The alarm device is connected to the industrial Raspberry Pi signal, and the industrial Raspberry Pi controls the alarm device to sound an alarm when the collected current, voltage, and torque are greater than corresponding thresholds.

[0017] Preferably, the alarm device includes at least any one of the following: an indicator light, a buzzer, and an audible and visual alarm.

[0018] Preferably, the industrial Raspberry Pi and the Arduino single-chip microcomputer are both arranged in the same control cabinet.

[0019] Preferably, the PLC data collector forms a distributed field bus system with multiple frequency converters via a profibus connection line.

[0020] The utility model provides a frequency converter data visualization system, which adopts a PLC data collector to read the data of the frequency converter, performs secondary data collection on the PLC data collector through an industrial Raspberry Pi, and then sends the data to a display for monitoring and analysis. It solves the problem of inconvenient frequency converter data reading in existing cigarette making machines and packaging machines, can improve the visualization and intelligence level of production data collection, and improve production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the specific embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments.

[0022] Figure 1 This is a schematic diagram of a frequency converter data visualization system provided by the utility model. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the solutions of the embodiments of the present invention, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings and implementation methods.

[0024] In view of the fact that the current frequency converter is located in the industrial production system, there are problems such as incompatible communication protocols for reading frequency converter data, and inconvenient reading and analysis. The utility model provides a frequency converter data visualization system to solve the problem of inconvenient frequency converter data reading in existing cigarette making machines and packaging machines, and can improve the visualization and intelligence level of production data collection, thereby improving production efficiency.

[0025] like Figure 1 As shown, a frequency converter data visualization system includes a PLC data collector, an industrial Raspberry Pi, and a display. The PLC data collector is connected to the frequency converter via a Profibus cable to read sensor data within the frequency converter. The industrial Raspberry Pi is connected to the PLC data collector via a TCP / IP communication line and to the display via an HDMI cable. The industrial Raspberry Pi is used to secondary collect and store the data read by the PLC data collector, and then transmit it to the display for monitoring and analysis.

[0026] Specifically, due to communication incompatibilities between the industrial environment in which the VFD resides and the embedded data collection system, IoT data collection would be expensive. However, this system collects VFD data through a PLC data collector, which is then used by an industrial Raspberry Pi for secondary data collection and storage. Profibus cables are used to collect data from the PLC data collector, reading various parameters from the VFD control sensors, including current, voltage, actual speed, actual torque, and actual frequency. This system resolves communication incompatibilities and avoids the transmission delays and unexpected factors associated with data transmission in distributed systems.

[0027] In one embodiment, a PLC data collector, using a 200SMARTPLC, connects to the inverter and reads inverter data via the Siemens USS protocol. This data is then connected to an industrial Raspberry Pi via TCP / IP, using the open-source Snap7 library component to read the data from the PLC data collector. A database is then established on the Raspberry Pi to enable edge data visualization. This bypasses the limitation of the Siemens inverter data acquisition protocol, which only allows data to be collected via the proprietary Siemens protocol. This allows real-time data visualization even for older Siemens inverters, providing a scientific basis for data analysis. Furthermore, motor parameter collection and edge visualization are achieved without adding sensors, avoiding the noise and data fluctuations associated with adding sensors, facilitating the accumulation of the most clean data for subsequent data analysis.

[0028] Furthermore, the industrial Raspberry Pi is provided with an embedded system and a storage database for secondary data collection and storage.

[0029] In actual application, the data storage system installs the Linux system on the industrial Raspberry Pi and connects to the PLC through a network cable. Through the TCP / IP protocol, a Python acquisition program is written to collect the parameters collected by the relevant PLC data collector and display them in the simple database carried by the industrial Raspberry Pi.

[0030] Furthermore, the display is provided with a human-computer interaction interface, the human-computer interaction interface is provided with a start button and a stop button for data acquisition, and displays the data curve of the corresponding parameters stored in the database in real time.

[0031] In practical applications, data visualization can be achieved through the corresponding front-end interface in Linux, using pyqt to build the terminal and adjust the terminal interface.

[0032] The system also includes an Arduino microcontroller, a current sensor, a voltage sensor, and a speed sensor. The current sensor and the voltage sensor are installed on the power lines of the corresponding motors of the cigarette making and packaging machines, and the speed sensor is installed on the speed shafts of the corresponding motors of the cigarette making and packaging machines. The Arduino microcontroller is signal-connected to the current sensor, the voltage sensor, and the speed sensor to obtain current, voltage, and speed data from the corresponding motors of the cigarette making and packaging machines.

[0033] Specifically, data acquisition can be performed using a PLC data collector and a PROFIBUS cable to collect the current, voltage, and actual speed parameters from the inverter control sensor. Current, voltage, and speed sensors are connected to an Arduino and an adjustable industrial power supply. A program is developed to collect real-time current, voltage, and torque data from the Arduino microcontroller.

[0034] In another embodiment, a 200SMART PLC is connected to a Siemens inverter to read inverter data using the Siemens USS protocol. This data is then connected to an industrial Raspberry Pi via TCP / IP, using the open-source Snap7 library to read the PLC data and establish a database on the Raspberry Pi. Simultaneously, an Arduino is connected to current, voltage, and speed sensors to collect current, voltage, and speed data. This data is then connected to the same Raspberry Pi via a serial port to establish a database for real-time sensor data collection. The two data sets are then compared and visualized on the Raspberry Pi to determine the inverter's health status. This allows real-time data visualization for older Siemens inverters, providing a scientific basis for analyzing Siemens inverter health.

[0035] Furthermore, the Arduino single chip microcomputer is connected to the industrial Raspberry Pi via a serial port, and the collected data is transmitted in real time to a storage database of the industrial Raspberry Pi for storage.

[0036] In practice, a Linux system was installed on an industrial Raspberry Pi. The industrial Raspberry Pi and a PLC data collector were connected via a network cable and communicated using the TCP / IP protocol. A Python program was written to collect the relevant PLC parameters and store them in a simple database on the industrial Raspberry Pi. For comparison, an Arduino was connected to the Raspberry Pi via a serial port, transmitting the collected data in real time to Database 2. The titles of Database 1 and Database 2 were consistent for easy display and comparison.

[0037] Furthermore, the human-computer interaction interface compares the collected data of the Arduino microcontroller with the collected data of the industrial Raspberry Pi and displays them on split screens.

[0038] In practical applications, the display can be displayed in red for sensor data collection and in blue for inverter data collection. The difference between the two and the actual inverter output status can be clearly seen on the display. The "Start" and "Stop" buttons are used to start and stop data collection, respectively.

[0039] The system also includes: an alarm device; the alarm device is connected to the industrial Raspberry Pi signal, and the industrial Raspberry Pi controls the alarm device to alarm when the collected current, voltage and torque are greater than corresponding thresholds.

[0040] Furthermore, the alarm device includes at least any one of the following: an indicator light, a buzzer, and an audible and visual alarm.

[0041] Furthermore, the industrial Raspberry Pi and the Arduino single-chip microcomputer are both arranged in the same control cabinet.

[0042] Furthermore, the PLC data collector forms a distributed fieldbus system with multiple frequency converters via a profibus connection line.

[0043] It can be seen that the utility model provides a frequency converter data visualization system, which adopts a PLC data collector to read the data of the frequency converter, performs secondary collection of the data of the PLC data collector through the industrial Raspberry Pi, and then sends the data to the display for monitoring and analysis, thereby solving the problem of inconvenient frequency converter data reading of existing cigarette making machines and packaging machines, and can improve the visualization and intelligence level of production data collection, thereby improving production efficiency.

[0044] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the scope of implementation of the present invention is not limited to what is shown in the drawings. Any changes made in accordance with the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which do not exceed the spirit covered by the description and drawings, should be within the scope of protection of the present invention.

Claims

1. A frequency converter data visualization system, characterized in that: include: PLC data collector, industrial Raspberry Pi and display; The PLC data collector is connected to the frequency converter signal via a profibus connection line to read the sensor data in the frequency converter; The industrial Raspberry Pi is connected to the PLC data collector via a TCP / IP communication line and is connected to the display signal via an HDMI cable. The industrial Raspberry Pi is used to perform secondary collection and storage of the data read by the PLC data collector, and then transmit it to the display for monitoring and analysis.

2. The inverter data visualization system according to claim 1, characterized in that: The industrial Raspberry Pi is provided with an embedded system and a storage database for secondary data collection and storage.

3. The inverter data visualization system according to claim 2, characterized in that: The display is provided with a human-computer interaction interface, which is provided with a start button and a stop button for data acquisition and displays data curves of corresponding parameters stored in a database in real time.

4. The inverter data visualization system according to claim 3, characterized in that: Also includes: Arduino microcontroller, current sensor, voltage sensor and speed sensor; The current sensor and the voltage sensor are arranged on the power lines of the corresponding motors of the cigarette making machine and the packaging machine, and the speed sensor is arranged on the speed shafts of the corresponding motors of the cigarette making machine and the packaging machine; The Arduino single chip microcomputer is respectively connected to the current sensor, the voltage sensor and the speed sensor signals to obtain the current data, voltage data and speed data of the corresponding motors of the cigarette making machine and the packaging machine.

5. The inverter data visualization system according to claim 4, characterized in that: The Arduino single chip microcomputer is connected to the industrial Raspberry Pi via a serial port, and the collected data is transmitted to the storage database of the industrial Raspberry Pi in real time for storage.

6. The inverter data visualization system according to claim 5, characterized in that: The human-computer interaction interface compares the collected data of the Arduino single-chip microcomputer with the collected data of the industrial Raspberry Pi and displays them on split screens.

7. The inverter data visualization system according to claim 6, characterized in that: Also includes: alarm device; The alarm device is connected to the industrial Raspberry Pi signal, and the industrial Raspberry Pi controls the alarm device to sound an alarm when the collected current, voltage, and torque are greater than corresponding thresholds.

8. The inverter data visualization system according to claim 7, characterized in that: The alarm device includes at least any one of the following: an indicator light, a buzzer and an audible and visual alarm.

9. The inverter data visualization system according to claim 8, characterized in that: The industrial Raspberry Pi and the Arduino single-chip microcomputer are both arranged in the same control cabinet.

10. The inverter data visualization system according to claim 9, characterized in that: The PLC data collector forms a distributed field bus system with multiple frequency converters via profibus connection lines.

Images