Electric power system equipment state monitoring device based on digital twinning

Abstract

The invention belongs to the technical field of power system monitoring, and particularly relates to a digital twinning-based power system equipment state monitoring device, which comprises a data acquisition module, a communication module, a data processing and storage module, a digital twinning modeling module and a power management module, the data acquisition module comprises a sensor unit, a signal conditioning unit, an analog-to-digital conversion unit and a data preprocessing unit, the data acquisition module can acquire physical state parameters of power equipment in real time and convert and preliminarily process data, and the communication module comprises a wired communication unit and a wireless communication unit. The communication module is used for enabling data on different modules to be mutually transmitted; through the virtual twinborn model, a worker can know the operation condition of the electrical equipment in real time through the virtual twinborn model, meanwhile, the operation of the electrical equipment can be predicted through the virtual twinborn model, problems in the operation of the electrical equipment can be found in advance, and safe and stable operation of a power grid is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of power system monitoring, and particularly relates to a power system equipment status monitoring device based on digital twin. Background Art

[0002] In the power system, equipment status monitoring is the core link to ensure the safe and stable operation of the power grid. The status monitoring of traditional power equipment mainly relies on technical means such as off-line inspection and regular maintenance, single sensor monitoring, and isolated system architecture, resulting in problems such as single data dimension, rigid model, and response delay, and it is difficult to meet the requirements of the smart grid for real-time and predictability.

[0003] To solve the above problems, a power system equipment status monitoring device based on digital twin is proposed in this application. Summary of the Invention

[0004] To solve the problems proposed in the above background art, the present invention provides a power system equipment status monitoring device based on digital twin, which has the characteristics of better real-time and predictability.

[0005] To achieve the above object, the present invention provides the following technical solution: A power system equipment status monitoring device based on digital twin, including a data acquisition module, a communication module, a data processing and storage module, a digital twin modeling module, and a power management module;

[0006] The data acquisition module includes a sensor unit, a signal conditioning unit, an analog-to-digital conversion unit, and a data preprocessing unit. The data acquisition module can collect the physical state parameters of power equipment in real time and convert and preliminarily process the data.

[0007] The communication module includes a wired communication unit and a wireless communication unit. The communication module is used to enable the data on different modules to be transmitted to each other.

[0008] The data processing and storage module includes an edge computing unit, a data storage unit, and a data fusion unit. The data processing and storage module can clean, store, and analyze the data output by the data acquisition module.

[0009] The digital twin modeling module includes a 3D modeling unit, a physical model unit, a real-time synchronization unit, and a model update unit. The digital twin modeling module can construct a virtual twin model of the equipment, simulate the behavior of the physical entity, and update and synchronize the twin model according to the processed data output by the data processing and storage module.

[0010] The power management module includes a power supply unit, a power adapter unit, and a power protection unit. The power management module can provide stable power supply for the device.

[0011] Preferably, as a device for monitoring the state of a power system equipment based on digital twin in the present invention, the sensor unit includes a temperature sensor, a vibration sensor, an electrical parameter sensor, and a partial discharge sensor. The temperature sensor can monitor the heating condition of the equipment, the vibration sensor can detect mechanical abnormalities, the electrical parameter sensor can monitor the current and voltage parameters of the electricity, and the partial discharge sensor can detect insulation defects of the electrical equipment.

[0012] Preferably, as a device for monitoring the state of a power system equipment based on digital twin in the present invention, the signal conditioning unit can amplify, filter, and denoise the signals of the sensor unit. The analog-to-digital conversion unit can convert analog signals into digital signals, and the data preprocessing unit can normalize the data, align the data timestamps, and eliminate abnormal numerical values.

[0013] Preferably, as a device for monitoring the state of a power system equipment based on digital twin in the present invention, the wired communication unit uses industrial Ethernet and fiber optic communication to ensure the stability of numerical transmission. The wireless communication unit uses Wi-Fi, 4G / 5G, and LoRa technologies to build a low-power wide area network.

[0014] Preferably, as a device for monitoring the state of a power system equipment based on digital twin in the present invention, the edge computing unit uses a local FPGA to achieve real-time data compression and feature extraction. The data fusion unit is used for multi-source data fusion.

[0015] Preferably, as a device for monitoring the state of a power system equipment based on digital twin in the present invention, the data storage unit includes local storage and cloud storage. The local storage uses an SD card and an SSD to cache short-term data, and the cloud storage uses an InfluxDB time series database to store data in the long term.

[0016] Preferably, as a device for monitoring the state of a power system equipment based on digital twin in the present invention, the 3D modeling unit uses Blender, SolidWorks, and Unity to construct a 3D model of the equipment. The real-time synchronization unit realizes real-time data synchronization between the device data transmitted by the data processing and storage module and the virtual model through an API. The model update unit can dynamically correct the model parameters based on machine learning Kalman filtering.

[0017] Preferably, as a device for monitoring the state of a power system equipment based on digital twin in the present invention, the physical model unit includes an electrical model, a mechanical model, and a thermodynamic model. The electrical model is an equivalent circuit model of the equipment, which is convenient for monitoring the circuit state of the equipment. The mechanical model is used for vibration and stress analysis, and the thermodynamic model is used for predicting the temperature rise of the equipment.

[0018] As a preferred embodiment of a power system equipment status monitoring device based on digital twins of the present invention, the power supply unit supplies power to the entire device, the power adapter unit is used for AC / DC conversion, and the power protection unit provides overvoltage, overcurrent and short-circuit protection circuits.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] The power management module provides stable power supply for the monitoring device. Then, the three-dimensional modeling unit and physical model unit in the digital twin modeling module are used to construct a virtual twin model of the equipment and simulate the behavior of the physical entity according to the physical parameters of the electrical equipment. Then, the data acquisition module is used to collect, convert and preliminarily process the various data of the electrical equipment. The communication module transmits the data collected by the data acquisition module and converted and preliminarily processed to the data processing and storage module. The data storage unit stores and backs up the transmitted data, and the edge computing unit and data fusion unit clean and analyze the data to obtain accurate information data of the electrical equipment. Then, the accurate information data of the electrical equipment is transmitted to the real-time synchronization unit and model update unit in the digital twin modeling module through the communication module, and the real-time synchronization unit and model update unit update and synchronize the virtual twin model of the equipment constructed by the three-dimensional model unit and the physical model unit according to the accurate information data of the electrical equipment, so that the staff can know the operating status of the electrical equipment in real time through the virtual twin model. At the same time, the operation of the electrical equipment can be predicted through the virtual twin model, and problems in the operation of the electrical equipment can be discovered in advance to ensure the safe and stable operation of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0022] Figure 1 It is a structural schematic diagram of the present invention;

[0023] Figure 2 Schematic diagram of the structure of the data acquisition module in the present invention;

[0024] Figure 3 Schematic diagram of the structure of the sensor unit in the present invention;

[0025] Figure 4 Schematic diagram of the structure of the communication module in the present invention;

[0026] Figure 5 Schematic diagram of the structure of the data processing and storage module in the present invention;

[0027] Figure 6 It is a schematic structural diagram of the data storage unit in the present invention;

[0028] Figure 7 It is a schematic structural diagram of the digital twin modeling module in the present invention;

[0029] Figure 8 It is a schematic structural diagram of the physical model unit in the present invention;

[0030] Figure 9 It is a schematic structural diagram of the power management module in the present invention; Detailed implementation manners

[0031] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0032] Embodiment 1

[0033] As Figures 1 to 9 shown;

[0034] In order to achieve the real-time and predictive monitoring of electrical system equipment, this digital twin-based power system equipment status monitoring device includes a data acquisition module, a communication module, a data processing and storage module, a digital twin modeling module, and a power management module;

[0035] The data acquisition module includes a sensor unit, a signal conditioning unit, an analog-to-digital conversion unit, and a data preprocessing unit. The data acquisition module can collect the physical state parameters of power equipment in real time and convert and preliminarily process the data;

[0036] The communication module includes a wired communication unit and a wireless communication unit. The communication module is used to enable the data on different modules to be transmitted to each other;

[0037] The data processing and storage module includes an edge computing unit, a data storage unit, and a data fusion unit. The data processing and storage module can clean, store, and analyze the data output by the data acquisition module;

[0038] The digital twin modeling module includes a 3D modeling unit, a physical model unit, a real-time synchronization unit, and a model update unit. The digital twin modeling module can construct a virtual twin model of the device, simulate the behavior of the physical entity, and update and synchronize the twin model according to the processed data output by the data processing and storage module;

[0039] The power management module includes a power supply unit, a power adapter unit, and a power protection unit, and the power management module can provide stable power supply for the device.

[0040] In this embodiment: First, the power management module provides stable power supply for the monitoring device. Then, according to the physical parameters of the electrical equipment, the three-dimensional modeling unit and the physical model unit in the digital twin modeling module are used to construct a virtual twin model of the device and simulate the behavior of the physical entity. After that, the data acquisition module is used to collect, convert, and preliminarily process various data of the electrical equipment, and the communication module transmits the data collected, converted, and preliminarily processed by the data acquisition module to the data processing and storage module. The data storage unit stores and backs up the transmitted data, and the edge computing unit and the data fusion unit clean and analyze the data to obtain accurate information data of the electrical equipment. Then, the accurate information data of the electrical equipment is transmitted to the real-time synchronization unit and the model update unit in the digital twin modeling module through the communication module, and the real-time synchronization unit and the model update unit update and synchronize the virtual twin model of the device constructed by the three-dimensional model unit and the physical model unit according to the accurate information data of the electrical equipment, enabling the staff to know the operating status of the electrical equipment in real time through the virtual twin model, and at the same time, being able to predict the operation of the electrical equipment through the virtual twin model, discovering problems in the operation of the electrical equipment in advance, and ensuring the safe and stable operation of the power grid.

[0041] Furthermore:

[0042] As Figure 3 shown;

[0043] Combining the above content:

[0044] In an alternative embodiment, the sensor unit includes a temperature sensor, a vibration sensor, an electrical parameter sensor, and a partial discharge sensor. The temperature sensor can monitor the heat generation condition of the device, the vibration sensor can detect mechanical abnormalities, the electrical parameter sensor can monitor the current and voltage parameters of the electricity, and the partial discharge sensor can detect insulation defects of the electrical equipment.

[0045] In this embodiment: By setting multiple different sensors in the sensor unit, the device can be more comprehensively reflected, providing multi-dimensional state parameters, preventing single data dimension, enabling more accurate fault location, and reducing the missed detection rate.

[0046] Furthermore:

[0047] As Figure 2 shown;

[0048] Combining the above content:

[0049] In an optional embodiment, to improve the effect of data acquisition, the signal conditioning unit can amplify, filter, and denoise the signals of the sensor unit, the analog-to-digital conversion unit can convert analog signals into digital signals, and the data preprocessing unit can normalize the data, align the data timestamps, and eliminate abnormal numerical values.

[0050] In this embodiment: Through the combined use of the signal conditioning unit and the data preprocessing unit, the data acquisition module can convert and preliminarily process the acquired data, facilitating subsequent data analysis.

[0051] Furthermore:

[0052] As Figure 4 shown;

[0053] Combining the above content:

[0054] In an optional embodiment, to ensure the stability of data transmission, the wired communication unit uses industrial Ethernet and fiber optic communication to ensure the stability of data transmission, and the wireless communication unit uses Wi-Fi, 4G / 5G, and LoRa technologies to build a low-power wide area network.

[0055] In this embodiment: The wireless communication unit using Wi-Fi, 4G / 5G, and LoRa technologies has the advantages of low power consumption and wide transmission range, and the wired communication unit using industrial Ethernet and fiber optic communication has stronger transmission stability, preventing the wireless communication unit from being unable to transmit when the signal encounters interference and improving the stability of data transmission.

[0056] Furthermore:

[0057] As Figure 5 shown;

[0058] Combining the above content:

[0059] In an optional embodiment, to comprehensively process data, the edge computing unit uses a local FPGA to achieve real-time data compression and feature extraction, and the data fusion unit is used for multi-source data fusion.

[0060] In this embodiment: Through the combined use of the edge computing unit, multiple acquired data can be jointly analyzed and comprehensively processed, enabling the data to better reflect the working state of electrical equipment.

[0061] Furthermore:

[0062] As Figure 6 shown;

[0063] Combining the above content:

[0064] To prevent data loss, in an optional embodiment, the data storage unit includes local storage and cloud storage. The local storage uses an SD card and an SSD to cache short-term data, and the cloud storage uses an InfluxDB time series database to store data in the long term.

[0065] In this embodiment: The local storage can be used to store the recent data of the electrical equipment for convenient access by the staff, while the cloud storage can store the long-term operation data of the electrical equipment for the user to easily find the operation data of the equipment for a specific time period.

[0066] Furthermore:

[0067] As Figure 7 shown;

[0068] Combining the above:

[0069] To achieve real-time updates of the virtual model, in an optional embodiment, the 3D modeling unit uses Blender, SolidWorks, and Unity to construct a 3D model of the device. The real-time synchronization unit realizes real-time data synchronization between the device data transmitted by the data processing and storage module and the virtual model through the API. The model update unit can dynamically correct the model parameters based on machine learning Kalman filtering.

[0070] Furthermore:

[0071] As Figure 8 shown;

[0072] Combining the above:

[0073] To better analyze the operating state of electrical equipment, in an optional embodiment, the physical model unit includes an electrical model, a mechanical model, and a thermodynamic model. The electrical model is an equivalent circuit model of the device, which is convenient for monitoring the circuit state of the device. The mechanical model is used for vibration and stress analysis, and the thermodynamic model is used for predicting the temperature rise of the device.

[0074] In this embodiment: By constructing multiple different physical models of the electrical equipment, the operating state of the electrical equipment can be better reflected, which is convenient for predictive analysis of the operation of the electrical equipment.

[0075] Furthermore:

[0076] As Figure 9 shown;

[0077] Combining the above:

[0078] In order to improve the stability of the device operation, in an optional embodiment, the power supply unit supplies power to the entire device, the power supply adaptation unit is used for AC / DC conversion, and the power supply protection unit provides overvoltage, overcurrent, and short-circuit protection circuits.

[0079] In this embodiment: The power supply adaptation unit can achieve the conversion between direct current and alternating current, which is convenient for powering the sensor. The power supply protection unit can protect the overall circuit of the device and improve the stability of the device operation.

[0080] The working principle and usage process of the present invention are as follows: First, the power management module provides stable power supply for the monitoring device. Then, according to the physical parameters of the electrical equipment, the three-dimensional modeling unit and the physical model unit in the digital twin modeling module are used to construct the virtual twin model of the device and simulate the behavior of the physical entity. After that, the data acquisition module collects, converts, and preliminarily processes the various data of the electrical equipment, and the communication module transmits the data collected by the data acquisition module and converted and preliminarily processed to the data processing and storage module. The data storage unit stores and backs up the transmitted data, and the edge computing unit and the data fusion unit clean and analyze the data to obtain the accurate information data of the electrical equipment. Then, the accurate information data of the electrical equipment is transmitted to the real-time synchronization unit and the model update unit in the digital twin modeling module through the communication module, and the real-time synchronization unit and the model update unit update and synchronize the virtual twin model of the device constructed by the three-dimensional model unit and the physical model unit according to the accurate information data of the electrical equipment, enabling the staff to know the operation status of the electrical equipment in real time through the virtual twin model, and at the same time, also being able to predict the operation of the electrical equipment through the virtual twin model, discover problems in the operation of the electrical equipment in advance, and ensure the safe and stable operation of the power grid.

Claims

1. A power system equipment status monitoring device based on digital twin, characterized in that: It includes data acquisition module, communication module, data processing and storage module, digital twin modeling module and power management module; The data acquisition module includes a sensor unit, a signal conditioning unit, an analog-to-digital conversion unit, and a data preprocessing unit. The data acquisition module can collect the physical state parameters of the power equipment in real time and convert and preliminarily process the data; The communication module includes a wired communication unit and a wireless communication unit, and the communication module is used to enable data on different modules to be transmitted to each other; The data processing and storage module includes an edge computing unit, a data storage unit and a data fusion unit. The data processing and storage module can clean, store and analyze the data output by the data acquisition module; The digital twin modeling module includes a three-dimensional modeling unit, a physical model unit, a real-time synchronization unit, and a model update unit. The digital twin modeling module can build a virtual twin model of the device, simulate the behavior of the physical entity, and update and synchronize the twin model according to the processed data output by the data processing and storage module; The power management module includes a power supply unit, a power adapter unit and a power protection unit. The power management module can provide stable power supply for the device.

2. The power system equipment status monitoring device based on digital twin according to claim 1, wherein: The sensor unit includes a temperature sensor, a vibration sensor, an electrical parameter sensor and a partial discharge sensor. The temperature sensor can monitor the heating condition of the equipment, the vibration sensor can detect mechanical abnormalities, the electrical parameter sensor can monitor electrical current and voltage parameters, and the partial discharge sensor can detect insulation defects of electrical equipment.

3. The device for monitoring the state of a power system device based on digital twin according to claim 1, characterized in that: The signal conditioning unit can amplify, filter, and denoise the signal of the sensor unit, the analog-to-digital conversion unit can convert the analog signal into a digital signal, and the data preprocessing unit can normalize the data, align data timestamps, and eliminate numerical outliers.

4. The power system equipment status monitoring device based on digital twin according to claim 1, characterized in that: The wired communication unit uses industrial Ethernet and optical fiber communication to ensure the stability of data transmission, and the wireless communication unit uses Wi-Fi, 4G / 5G and LoRa technology to build a low-power wide area network.

5. The device for monitoring the state of a power system device based on digital twin according to claim 1, wherein: The edge computing unit uses a local FPGA to achieve real-time data compression and feature extraction, and the data fusion unit is used for multi-source data fusion.

6. The device for monitoring the state of a power system device based on digital twin according to claim 1, wherein: The data storage unit includes local storage and cloud storage. The local storage uses an SD card and an SSD to cache short-term data, and the cloud storage uses an InfluxDB time series database to store data for a long time.

7. The device for monitoring the state of a power system device based on digital twin according to claim 1, wherein: The three-dimensional modeling unit uses Blender, SolidWorks and Unity to build a three-dimensional model of the device. The real-time synchronization unit realizes the real-time data synchronization of the device data transmitted by the data processing and storage module and the virtual model through the API. The model updating unit can dynamically correct the model parameters based on machine learning Kalman filtering.

8. The device for monitoring the state of a power system device based on digital twin according to claim 1, characterized in that: The physical model unit includes an electrical model, a mechanical model, and a thermodynamic model. The electrical model is an equivalent circuit model of the device, facilitating the monitoring of the device circuit state. The mechanical model is used for vibration and stress analysis, and the thermodynamic model is used to predict the device temperature rise.

9. The power system equipment status monitoring device based on digital twin according to claim 1, characterized in that: The power supply unit supplies power to the overall device. The power supply adaptation unit is used for AC / DC conversion, and the power supply protection unit provides overvoltage, overcurrent, and short-circuit protection circuits.

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