Power grid digital twin visualization system integrated with edge computing chip

Abstract

The utility model relates to the technical field of power grid data processing, concretely relates to integrated edge calculation chip's power grid digital twin visual system, including data acquisition module, edge calculation chip, communication module, central processing unit and result visualization module, communication module includes wired communication unit, wireless communication unit and wireless signal strength detection unit, and the signal connection through wired communication unit and wireless communication unit between edge calculation chip and central processing unit, and edge calculation chip determines signal transmission mode according to the detection signal of wireless signal strength detection unit, and result visualization module includes display screen and graphic processing unit, and central processing unit, graphic processing unit and display screen are sequentially signal connected. In the utility model, the communication mode self -adaptation selection is realized in combination with wireless signal strength detection unit, ensures the continuity of data transmission under complex power grid environment, and the limitation of single communication mode is solved.

Description

Technical Field

[0001] This utility model relates to the field of power grid data processing technology, and more specifically, to a power grid digital twin visualization system integrating edge computing chips. Background Technology

[0002] With the rapid development of smart grids, the number and complexity of grid equipment are constantly increasing, and the demand for real-time monitoring, data processing and visualization of grid operation status is becoming increasingly urgent. Traditional grid data processing systems mostly adopt a centralized architecture, that is, the data collected at the front end is directly transmitted to the central processor for processing. The data transmission volume is large, which can easily cause network congestion, leading to increased processing delays and making it difficult to meet real-time requirements. The communication methods are also limited, relying on wired communication or a single wireless communication. In complex grid environments, signal instability or interruption problems are likely to occur.

[0003] The invention patent with announcement number CN118797966A discloses a method and platform for digital twin modeling of power grids based on cloud-edge collaboration, including: integrating a distributed sensor network and communicating with multiple real-time monitoring units, with monitoring indicators including current, voltage, and temperature; deploying an edge computing server to upload real-time monitoring data and perform rapid fault location; interacting between the edge computing server and the cloud processor to dynamically adjust the scheduling strategy and construct a digital twin model of the power grid; establishing multiple local update spaces through local marking; matching multiple independent update cycles and priority mechanisms to adaptively trigger multiple local update requests; and performing self-learning iterative enhancement during operation to assist in the operation and maintenance management of the target power grid.

[0004] Although this invention solves the technical problems that existing power grid dispatch strategies often cannot adapt to the dynamic changes in power grid operation, lack intelligent means, and lead to resource waste and system instability, when using a dedicated 5G network to interact between the edge computing server and the cloud processor, the remote transmission of a large amount of raw data is prone to delays, making it difficult to meet the real-time control needs of the power grid. Furthermore, the communication method is singular, and communication interruptions are likely to occur in complex power grid environments. Utility Model Content

[0005] The purpose of this invention is to provide a power grid digital twin visualization system with integrated edge computing chips to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, this utility model provides the following technical solution: A power grid digital twin visualization system integrating an edge computing chip includes a data acquisition module, an edge computing chip, a communication module, a central processing unit (CPU), and a result visualization module. The data acquisition module, the edge computing chip, and the communication module are electrically connected in sequence. The data acquisition module is used to acquire electrical quantities and environmental quantities of power grid equipment. The edge computing chip is used for local preprocessing and calculation of electrical parameters. The communication module includes a wired communication unit, a wireless communication unit, and a wireless signal strength detection unit. The edge computing chip and the CPU are signal-connected through the wired communication unit and the wireless communication unit. The edge computing chip determines the signal transmission method based on the detection signal from the wireless signal strength detection unit. The result visualization module includes a display screen and a graphics processing unit. The CPU, the graphics processing unit, and the display screen are signal-connected in sequence.

[0007] Preferably, the data acquisition module includes an electrical quantity acquisition unit, an environmental quantity acquisition unit, a signal amplification unit, and an analog-to-digital conversion unit. The electrical quantity acquisition unit includes a voltage sensor group and a current sensor group, and the environmental quantity acquisition unit includes a temperature sensor group, a humidity sensor group, and a vibration sensor group. Each sensor group in the electrical quantity acquisition unit and the environmental quantity acquisition unit contains several sensors, and the several sensors are respectively installed at various detection points of the power grid equipment.

[0008] Preferably, the signal amplification unit includes several signal amplification circuits, and the analog-to-digital conversion unit includes several analog-to-digital conversion chips. Each of the several signal amplification circuits, several analog-to-digital conversion chips, and each sensor corresponds to one of them.

[0009] Preferably, the signal amplification circuit includes resistors R1, R2, R3, R4, R5, R6, R7, R8, R9, operational amplifier U1, operational amplifier U2, and operational amplifier U3. The first terminals of resistors R1 and R2 are connected to the two output terminals of the corresponding sensors, respectively. The second terminal of resistor R1 is connected to the non-inverting input terminal of operational amplifier U1, the second terminal of resistor R2 is connected to the non-inverting input terminal of operational amplifier U2, the first terminal of resistor R3 is connected to the inverting input terminal of operational amplifier U1, the second terminal of resistor R3 is connected to the inverting input terminal of operational amplifier U2, the first terminal of resistor R4 is connected to the inverting input terminal of operational amplifier U1, the second terminal of resistor R4 is connected to the output terminal of operational amplifier U1, the first terminal of resistor R5 is connected to the inverting input terminal of operational amplifier U2, the second terminal of resistor R5 is connected to the output terminal of operational amplifier U2, the first terminal of resistor R6 is connected to the output terminal of operational amplifier U1, the second terminal of resistor R6 is connected to the inverting input terminal of operational amplifier U3, the first terminal of resistor R7 is connected to the output terminal of operational amplifier U2, the second terminal of resistor R7 is connected to the non-inverting input terminal of operational amplifier U3, the first terminal of resistor R8 is connected to the inverting input terminal of operational amplifier U3, the second terminal of resistor R8 is connected to the output terminal of operational amplifier U3, the first terminal of resistor R9 is connected to the non-inverting input terminal of operational amplifier U3, and the second terminal of resistor R9 is grounded. The output of operational amplifier U3 is connected to the input of the corresponding analog-to-digital converter chip, and the outputs of several analog-to-digital converter chips are respectively connected to different input ports of the edge computing chip.

[0010] These three settings, by refining the dimensions of data acquisition to cover electrical parameters and environmental factors, combined with distributed sensor deployment, can comprehensively capture the real-time operating status of power grid equipment and the impact of the surrounding environment; the one-to-one correspondence design of the signal amplification circuit and analog-to-digital conversion chip can avoid mutual interference between signals from different sensors, ensuring that each signal is processed independently and accurately; and the signal amplification circuit with a specific structure can effectively amplify weak signals and suppress common-mode interference, significantly improving signal quality and providing more reliable raw data support for the local processing of edge computing chips.

[0011] Preferably, the system also includes a storage module connected to the central processing unit (CPU). The CPU includes a wired transceiver unit, a wireless transceiver unit, and a data processing unit. The wired transceiver unit is connected to the wired communication unit, and the wireless transceiver unit is connected to the wireless communication unit via a wireless signal. The data processing unit constructs a digital twin model based on historical data in the storage module and power grid equipment data sent by the communication module. The graphics processing unit is used to convert the digital twin model in the data processing unit into visual graphics.

[0012] This setup stores historical data through a storage module, providing long-term data references for the central processing unit to build a digital twin model, helping the model to more accurately reproduce the historical operating characteristics and changing patterns of the power grid. The wired and wireless transceiver units of the central processing unit are respectively adapted to the corresponding units of the communication module, ensuring bidirectional stability of data transmission. The digital twin model built by the data processing unit by integrating real-time collected data and historical data can dynamically map the actual operating status of the power grid. After the graphics processing unit converts the model into visual graphics, it allows staff to understand the power grid status more intuitively and quickly, providing a clear basis for decision-making.

[0013] Preferably, the wired communication unit includes a transceiver chip U5, a capacitor C1, a resistor R10, a resistor R11, and a resistor R12, and the transceiver chip U5 is model SP3485. The RO and DI pins of transceiver chip U5 are respectively connected to the signal receive and transmit pins of the edge computing chip. The DE pin is connected to the control pin of the edge computing chip. The first end of capacitor C1 is connected to a 3.3V power supply, and the second end of capacitor C1 is grounded. The VCC pin of transceiver chip U5 is connected to a 3.3V power supply, and the GND pin of transceiver chip U5 is grounded. The B and A pins of transceiver chip U5 are respectively connected to the signal ports of the wired transceiver unit. The first end of resistor R11 is grounded, and the second end of resistor R11 is connected to the B pin of transceiver chip U5. The first end of resistor R12 is connected to the A pin of transceiver chip U5, and the second end of resistor R12 is grounded. The first end of resistor R10 is connected to the second end of resistor R11, and the second end of resistor R10 is connected to the first end of resistor R12.

[0014] Preferably, the wireless communication unit includes resistor R15, resistor R16, optocoupler U7, and wireless communication chip U8; The first terminal of resistor R15 is connected to a 3.3V power supply, the second terminal of resistor R15 is connected to the anode of optocoupler U7, the cathode of optocoupler U7 is connected to the control pin of the edge computing chip, the first terminal of resistor R16 is connected to VCC power supply, the second terminal of resistor R16 is connected to the collector of optocoupler U7, and the emitter of optocoupler U7 is grounded. The EN pin of the wireless communication chip U8 is connected to the second end of the resistor R16, and the TXD and RXD pins of the wireless communication chip U8 are connected to the RXD and TXD pins of the edge computing chip, respectively.

[0015] Preferably, the wireless signal strength detection unit includes a receiving antenna, a resistor R13, a capacitor C2, a detection chip U6, a resistor R14, a capacitor C3, a capacitor C4, a capacitor C5, and a capacitor C6, and the detection chip U6 is an LTC5596. The first end of resistor R13 is connected to the control pin of the edge computing chip, and the second end of resistor R13 is connected to the EN pin of the detection chip U6. The first end of capacitor C2 is grounded, and the second end of capacitor C2 is connected to the second end of resistor R13. The output terminal of the receiving antenna is connected to the RFIN pin of the detection chip U6. The first end of resistor R14 is connected to a 3.3V power supply, and the second end of resistor R14 is connected to the first end of capacitor C3. The second end of capacitor C3 is grounded. The VCC pin of the detection chip U6 is connected to the second end of resistor R14. The first end of capacitor C4 is connected to the OUT pin of the detection chip U6, and the second end of capacitor C4 is connected to the FLTR pin of the detection chip U6. The first end of capacitor C5 is connected to the first end of capacitor C4, and the second end of capacitor C5 is grounded. The first end of capacitor C6 is connected to the first end of capacitor C4, and the second end of capacitor C6 is grounded. The OUT pin of the detection chip U6 is also connected to the analog-to-digital conversion pin of the edge computing chip.

[0016] These three components—the wired communication unit, transceiver chip U5, and supporting circuit design—enable efficient and stable data interaction in wired transmission scenarios, making it particularly suitable for applications with high transmission reliability requirements; the wireless communication unit, through optocoupler U7, achieves electrical isolation between the edge computing chip and the wireless communication chip U8, effectively isolating external interference signals, protecting the chip's stable operation, and ensuring the security of wireless transmission; and the wireless signal strength detection unit, built on detection chip U6, accurately detects wireless signal strength and feeds the data back to the edge computing chip, providing accurate data for intelligent switching of communication methods. The synergistic effect of these three components ensures the system maintains efficient data transmission capabilities even in complex power grid environments.

[0017] Compared with the prior art, the beneficial effects of this utility model are: 1. This utility model, by setting up a multi-dimensional data acquisition module covering electrical and environmental quantities and adopting a distributed sensor deployment, realizes multi-parameter and all-round status monitoring of power grid equipment. Compared with a single equipment monitoring system, it significantly improves the comprehensiveness and correlation of data, and provides rich evidence for the overall status assessment of the power grid.

[0018] 2. This utility model integrates an edge computing chip to complete data preprocessing and parameter calculation locally, effectively reducing the amount of data uploaded to the central processor, reducing transmission bandwidth pressure and latency, and alleviating the processing load on the central end, making power grid status analysis and response more real-time.

[0019] 3. This utility model achieves adaptive selection of communication mode by combining the wired and wireless dual-mode design of the communication module with the wireless signal strength detection unit. In areas with stable wired communication, it prioritizes the reliability of data transmission, and automatically switches to wireless communication in areas with difficult wiring or signal interference, ensuring the continuity of data transmission in complex power grid environments and solving the limitations of a single communication mode. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the overall structure of the utility model; Figure 2 This is a schematic diagram of the data acquisition module in the utility model. Figure 3 This is a schematic diagram showing the connection between the signal amplification unit, the analog-to-digital conversion unit, and the edge computing chip in the utility model. Figure 4 This is a partial connection diagram of the utility model; Figure 5 This is a schematic diagram showing the connection between the edge computing chip, the wired communication unit, and the wired transceiver unit in the utility model. Figure 6 This is a schematic diagram showing the connection between the edge computing chip and the wireless communication unit in the utility model; Figure 7 This is a schematic diagram of the edge computing chip and wireless signal strength detection unit in the utility model. In the picture: 100. Data Acquisition Module; 101. Electrical Quantity Acquisition Unit; 1010. Voltage Sensor Group; 1011. Current Sensor Group; 102. Environmental Quantity Acquisition Unit; 1020. Temperature Sensor Group; 1021. Humidity Sensor Group; 1022. Vibration Sensor Group; 103. Signal Amplification Unit; 104. Analog-to-Digital Conversion Unit; 200. Edge computing chip; 300. Communication module; 301. Wired communication unit; 302. Wireless communication unit; 303. Wireless signal strength detection unit; 400. Central processing unit; 401. Wired transceiver unit; 402. Wireless transceiver unit; 403. Data processing unit; 500. Storage module; 600. Result visualization module; 601. Display screen; 602. Graphics processing unit. Detailed Implementation

[0021] The technical solutions of this utility model will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this utility model, and not all embodiments. Based on the embodiments of this utility model, all other embodiments obtained by those skilled in the art without creative effort are within the protection scope of this utility model.

[0022] Please see Figures 1-7 The present invention provides the following technical solution: A power grid digital twin visualization system integrating an edge computing chip includes a data acquisition module 100, an edge computing chip 200, a communication module 300, a central processing unit 400, and a result visualization module 600. The data acquisition module 100, edge computing chip 200, and communication module 300 are electrically connected sequentially. The data acquisition module 100 acquires electrical and environmental quantities from power grid equipment. The edge computing chip 200 performs local preprocessing and calculation of electrical parameters. The communication module 300 includes a wired communication unit 301, a wireless communication unit 302, and a wireless signal strength detection unit 303. The edge computing chip 200 and the central processing unit 400 are connected via the wired communication unit 301 and the wireless communication unit 302. The edge computing chip 200 determines the signal transmission method based on the detection signal from the wireless signal strength detection unit 303. The result visualization module 600 includes a display screen 601 and a graphics processing unit 602. The central processing unit 400, the graphics processing unit 602, and the display screen 601 are sequentially connected by signals. Through the collaborative work of multiple modules, the entire process of power grid data from acquisition and local processing to adaptive transmission and visualization is achieved. The local processing of the edge computing chip 200 reduces the amount of data transmission and lowers the latency. The dual-mode design of the communication module 300, combined with signal strength detection, ensures the continuity and stability of data transmission in complex power grid environments. Combined with the visualization module 600, the power grid status becomes more intuitive, improving the efficiency of power grid monitoring and control.

[0023] In this embodiment, please refer to Figure 1 , Figure 2 and Figure 3 The data acquisition module 100 includes an electrical quantity acquisition unit 101, an environmental quantity acquisition unit 102, a signal amplification unit 103, and an analog-to-digital conversion unit 104. The electrical quantity acquisition unit 101 includes a voltage sensor group 1010 and a current sensor group 1011. The environmental quantity acquisition unit 102 includes a temperature sensor group 1020, a humidity sensor group 1021, and a vibration sensor group 1022. Each sensor group in the electrical quantity acquisition unit 101 and the environmental quantity acquisition unit 102 contains several sensors, and these sensors are installed at various detection points of the power grid equipment. Through the subdivided acquisition units and distributed sensor deployment, multi-dimensional monitoring of the electrical and environmental parameters of the power grid equipment is achieved. Compared with single parameter acquisition, it can more comprehensively reflect the operating status of the equipment and provide rich and accurate raw data for subsequent data analysis and power grid status assessment.

[0024] Specifically, the signal amplification unit 103 includes several signal amplification circuits, and the analog-to-digital conversion unit 104 includes several analog-to-digital conversion chips. The several signal amplification circuits, several analog-to-digital conversion chips, and each sensor correspond one-to-one, avoiding interference between signals from different sensors and ensuring that each signal can be amplified and converted individually and accurately.

[0025] Furthermore, the signal amplification circuit includes resistors R1, R2, R3, R4, R5, R6, R7, R8, R9, operational amplifiers U1, U2, and U3. The signal amplification circuit is an instrumentation amplifier circuit. The first terminals of resistors R1 and R2 are connected to the two output terminals of the corresponding sensors, respectively. The second terminal of resistor R1 is connected to the non-inverting input terminal of operational amplifier U1, the second terminal of resistor R2 is connected to the non-inverting input terminal of operational amplifier U2, the first terminal of resistor R3 is connected to the inverting input terminal of operational amplifier U1, the second terminal of resistor R3 is connected to the inverting input terminal of operational amplifier U2, the first terminal of resistor R4 is connected to the inverting input terminal of operational amplifier U1, the second terminal of resistor R4 is connected to the output terminal of operational amplifier U1, the first terminal of resistor R5 is connected to the inverting input terminal of operational amplifier U2, the second terminal of resistor R5 is connected to the output terminal of operational amplifier U2, the first terminal of resistor R6 is connected to the output terminal of operational amplifier U1, the second terminal of resistor R6 is connected to the inverting input terminal of operational amplifier U3, the first terminal of resistor R7 is connected to the output terminal of operational amplifier U2, the second terminal of resistor R7 is connected to the non-inverting input terminal of operational amplifier U3, the first terminal of resistor R8 is connected to the inverting input terminal of operational amplifier U3, the second terminal of resistor R8 is connected to the output terminal of operational amplifier U3, the first terminal of resistor R9 is connected to the non-inverting input terminal of operational amplifier U3, and the second terminal of resistor R9 is grounded. The output of operational amplifier U3 is connected to the input of the corresponding analog-to-digital converter chip. The outputs of several analog-to-digital converter chips are connected to different input ports of edge computing chip 200, which can effectively amplify the weak differential signal output by the sensor, while suppressing common-mode interference and significantly improving the signal-to-noise ratio.

[0026] In this embodiment, please refer to Figure 1 and Figure 4It also includes a storage module 500, which is signal-connected to a central processing unit 400. The central processing unit 400 includes a wired transceiver unit 401, a wireless transceiver unit 402, and a data processing unit 403. The wired transceiver unit 401 is signal-connected to a wired communication unit 301, and the wireless transceiver unit 402 is wirelessly connected to the wireless communication unit 302. The data processing unit 403 constructs a digital twin model based on historical data in the storage module 500 and power grid equipment data sent by the communication module 300. The graphics processing unit 602 is used to convert the digital twin model in the data processing unit 403 into visual graphics. The storage module 500 provides historical data support for the construction of the digital twin model, improving the model's accuracy in restoring and predicting the power grid status. The transceiver unit of the central processing unit 400 ensures stable data interaction with the communication module 300. The digital twin model constructed by the data processing unit 403 can realistically map the power grid status, and the visualization achieved by the graphics processing unit 602 facilitates staff's intuitive understanding of the power grid operation, contributing to precise control.

[0027] In this embodiment, please refer to Figure 1 , Figure 5 , Figure 6 and Figure 7 The wired communication unit 301 includes a transceiver chip U5, a capacitor C1, a resistor R10, a resistor R11 and a resistor R12, and the transceiver chip U5 is model SP3485. The RO and DI pins of transceiver chip U5 are connected to the signal receive and transmit pins of edge computing chip 200, respectively. The DE pin is connected to the control pin of the edge computing chip 200. The first end of capacitor C1 is connected to a 3.3V power supply, and the second end of capacitor C1 is grounded. The VCC pin of transceiver chip U5 is connected to a 3.3V power supply, and the GND pin of transceiver chip U5 is grounded. The B and A pins of transceiver chip U5 are connected to the signal ports of wired transceiver unit 401, respectively. The first end of resistor R11 is grounded, and the second end of resistor R11 is connected to the B pin of transceiver chip U5. The first end of resistor R12 is connected to the A pin of transceiver chip U5, and the second end of resistor R12 is grounded. The first end of resistor R10 is connected to the second end of resistor R11, and the second end of resistor R10 is connected to the first end of resistor R12. This ensures high reliability of data transmission between wired communication unit 301 and wired transceiver unit 401, providing a guarantee for data transmission of large amounts of data and high real-time requirements.

[0028] Specifically, the wireless communication unit 302 includes resistor R15, resistor R16, optocoupler U7, and wireless communication chip U8; Resistor R15 is connected to a 3.3V power supply at its first end and to the anode of optocoupler U7 at its second end. The cathode of optocoupler U7 is connected to the control pin of edge computing chip 200. Resistor R16 is connected to VCC power supply at its first end and to the collector of optocoupler U7 at its second end. The emitter of optocoupler U7 is grounded. Optocoupler U7 provides electrical isolation between edge computing chip 200 and wireless communication chip U8, effectively preventing the transmission of interference signals and protecting the stable operation of the core chip. The EN pin of the wireless communication chip U8 is connected to the second end of the resistor R16, and the TXD and RXD pins of the wireless communication chip U8 are connected to the RXD and TXD pins of the edge computing chip 200, respectively.

[0029] Furthermore, the wireless signal strength detection unit 303 includes a receiving antenna, a resistor R13, a capacitor C2, a detection chip U6, a resistor R14, a capacitor C3, a capacitor C4, a capacitor C5, and a capacitor C6. The detection chip U6 is an LTC5596. The first end of resistor R13 is connected to the control pin of edge computing chip 200, and the second end of resistor R13 is connected to the EN pin of detection chip U6. The first end of capacitor C2 is grounded, and the second end of capacitor C2 is connected to the second end of resistor R13. The output of the receiving antenna is connected to the RFIN pin of detection chip U6. The first end of resistor R14 is connected to a 3.3V power supply, and the second end of resistor R14 is connected to the first end of capacitor C3. The second end of capacitor C3 is grounded. The VCC pin of detection chip U6 is connected to the second end of resistor R14. The first end of capacitor C4 is connected to the OUT pin of detection chip U6, and the second end of capacitor C4 is connected to the FLTR pin of detection chip U6. The first end of capacitor C5 is connected to the first end of capacitor C4, and the second end of capacitor C5 is grounded. The first end of capacitor C6 is connected to the first end of capacitor C4, and the second end of capacitor C6 is grounded. The OUT pin of detection chip U6 is also connected to the analog-to-digital conversion pin of edge computing chip 200, enabling wireless signal strength detection unit 303 to provide reliable signal strength data to edge computing chip 200 and ensuring the accuracy of adaptive selection of communication mode.

[0030] When the power grid digital twin visualization system with integrated edge computing chip of this utility model is in use, the electrical quantity acquisition unit 101 acquires the voltage and current electrical quantities of the power grid equipment through the voltage sensor group 1010 and the current sensor group 1011. The environmental data acquisition unit 102 collects the temperature, humidity, and vibration environmental data of the equipment operating environment through the temperature sensor group 1020, humidity sensor group 1021, and vibration sensor group 1022. The weak signal output by the sensor is transmitted to the signal amplification unit 103, and the signal is amplified by the corresponding signal amplification circuit. The parameters of the electronic components in the signal amplification circuit are adjusted according to actual needs. The amplified analog signal is sent to the corresponding analog-to-digital conversion chip of the analog-to-digital conversion unit 104, converted into a digital signal, and then transmitted to the edge computing chip 200 through different input ports. The edge computing chip 200 receives the digital signal transmitted by the analog-to-digital conversion unit 104, performs local preprocessing (such as noise filtering and data compression) and electrical parameter calculation (such as power and energy consumption) on it, thereby reducing the amount of data transmitted subsequently and reducing network bandwidth pressure and latency. The wireless signal strength detection unit 303 of the communication module 300 detects the wireless signal strength in real time and transmits the detection results to the edge computing chip 200. The edge computing chip 200 selects the communication mode according to the detection results: if the wireless signal is stable, it transmits wirelessly to the wireless transceiver unit 402 of the central processing unit 400 through the wireless communication unit 302; if the wireless signal is weak or unstable, it switches to the wired communication unit 301 to transmit wiredly to the wired transceiver unit 401 of the central processing unit 400 to ensure the continuity of data transmission; it can also switch the communication mode according to the detection results. After receiving data, the wired transceiver unit 401 or the wireless transceiver unit 402 of the central processing unit 400 transmits the data to the data processing unit 403. The data processing unit 403 combines the historical data stored in the storage module 500 and builds a digital twin model based on the real-time received power grid equipment data to accurately map the actual operating status of the power grid. The graphics processing unit 602 of the result visualization module 600 receives the digital twin model transmitted by the central processing unit 400, transforms it into intuitive visualization graphics, and finally displays the operating status, parameter changes and other information of the power grid equipment through the display screen 601, so as to realize the visualization monitoring and control of the power grid status.

[0031] The foregoing has shown and described the basic principles, main features, and advantages of this utility model. Those skilled in the art should understand that this utility model is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the utility model. Various changes and modifications can be made to this utility model without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed utility model. The scope of protection of this utility model is defined by the appended claims and their equivalents.

Claims

1. A power grid digital twin visualization system integrating an edge computing chip, comprising a data acquisition module (100), an edge computing chip (200), a communication module (300), a central processing unit (400), and a result visualization module (600), characterized in that: The data acquisition module (100), the edge computing chip (200), and the communication module (300) are electrically connected in sequence. The data acquisition module (100) is used to acquire electrical quantities and environmental quantities of power grid equipment. The edge computing chip (200) is used for local preprocessing and calculation of electrical parameters. The communication module (300) includes a wired communication unit (301), a wireless communication unit (302), and a wireless signal strength detection unit (303). The edge computing chip (200) and the central processing unit (400) are connected by signals through the wired communication unit (301) and the wireless communication unit (302). The edge computing chip (200) determines the signal transmission mode according to the detection signal of the wireless signal strength detection unit (303). The result visualization module (600) includes a display screen (601) and a graphics processing unit (602). The central processing unit (400), the graphics processing unit (602), and the display screen (601) are connected by signals in sequence.

2. The power grid digital twin visualization system with integrated edge computing chip according to claim 1, characterized in that: The data acquisition module (100) includes an electrical quantity acquisition unit (101), an environmental quantity acquisition unit (102), a signal amplification unit (103), and an analog-to-digital conversion unit (104). The electrical quantity acquisition unit (101) includes a voltage sensor group (1010) and a current sensor group (1011). The environmental quantity acquisition unit (102) includes a temperature sensor group (1020), a humidity sensor group (1021), and a vibration sensor group (1022). Each sensor group in the electrical quantity acquisition unit (101) and the environmental quantity acquisition unit (102) contains several sensors, and the several sensors are respectively installed at various detection points of the power grid equipment.

3. The power grid digital twin visualization system with integrated edge computing chip according to claim 2, characterized in that: The signal amplification unit (103) includes several signal amplification circuits, and the analog-to-digital conversion unit (104) includes several analog-to-digital conversion chips. The several signal amplification circuits, several analog-to-digital conversion chips, and each sensor correspond one-to-one.

4. The power grid digital twin visualization system with integrated edge computing chip according to claim 3, characterized in that: The signal amplification circuit includes resistors R1, R2, R3, R4, R5, R6, R7, R8, R9, operational amplifier U1, operational amplifier U2, and operational amplifier U3; The first terminals of resistors R1 and R2 are connected to the two output terminals of the corresponding sensors, respectively. The second terminal of resistor R1 is connected to the non-inverting input terminal of operational amplifier U1, the second terminal of resistor R2 is connected to the non-inverting input terminal of operational amplifier U2, the first terminal of resistor R3 is connected to the inverting input terminal of operational amplifier U1, the second terminal of resistor R3 is connected to the inverting input terminal of operational amplifier U2, the first terminal of resistor R4 is connected to the inverting input terminal of operational amplifier U1, the second terminal of resistor R4 is connected to the output terminal of operational amplifier U1, the first terminal of resistor R5 is connected to the inverting input terminal of operational amplifier U2, the second terminal of resistor R5 is connected to the output terminal of operational amplifier U2, the first terminal of resistor R6 is connected to the output terminal of operational amplifier U1, the second terminal of resistor R6 is connected to the inverting input terminal of operational amplifier U3, the first terminal of resistor R7 is connected to the output terminal of operational amplifier U2, the second terminal of resistor R7 is connected to the non-inverting input terminal of operational amplifier U3, the first terminal of resistor R8 is connected to the inverting input terminal of operational amplifier U3, the second terminal of resistor R8 is connected to the output terminal of operational amplifier U3, the first terminal of resistor R9 is connected to the non-inverting input terminal of operational amplifier U3, and the second terminal of resistor R9 is grounded. The output of operational amplifier U3 is connected to the input of the corresponding analog-to-digital converter chip, and the outputs of several analog-to-digital converter chips are respectively connected to different input ports of the edge computing chip (200).

5. The power grid digital twin visualization system with integrated edge computing chip according to claim 1, characterized in that: It also includes a storage module (500) which is signal-connected to the central processing unit (400). The central processing unit (400) includes a wired transceiver unit (401), a wireless transceiver unit (402), and a data processing unit (403). The wired transceiver unit (401) is signal-connected to the wired communication unit (301), and the wireless transceiver unit (402) is connected to the wireless communication unit (302) via a wireless signal. The data processing unit (403) constructs a digital twin model based on historical data in the storage module (500) and power grid equipment data sent by the communication module (300). The graphics processing unit (602) is used to convert the digital twin model in the data processing unit (403) into a visual graphic.

6. The power grid digital twin visualization system with integrated edge computing chip according to claim 5, characterized in that: The wired communication unit (301) includes a transceiver chip U5, a capacitor C1, a resistor R10, a resistor R11 and a resistor R12, and the transceiver chip U5 is model SP3485. The RO and DI pins of transceiver chip U5 are respectively connected to the signal receiving and transmitting pins of the edge computing chip (200). The DE pin is connected to the control pin of the edge computing chip (200). The first end of capacitor C1 is connected to a 3.3V power supply, and the second end of capacitor C1 is grounded. The VCC pin of transceiver chip U5 is connected to a 3.3V power supply, and the GND pin of transceiver chip U5 is grounded. The B and A pins of transceiver chip U5 are connected to the signal ports of the wired transceiver unit (401) respectively. The first end of resistor R11 is grounded, and the second end of resistor R11 receives the B pin of transceiver chip U5. The first end of resistor R12 receives the A pin of transceiver chip U5, and the second end of resistor R12 is grounded. The first end of resistor R10 is connected to the second end of resistor R11, and the second end of resistor R10 is connected to the first end of resistor R12.

7. The power grid digital twin visualization system with integrated edge computing chip according to claim 5, characterized in that: The wireless communication unit (302) includes resistor R15, resistor R16, optocoupler U7 and wireless communication chip U8; The first end of resistor R15 is connected to a 3.3V power supply, the second end of resistor R15 is connected to the anode of optocoupler U7, the cathode of optocoupler U7 is connected to the control pin of the edge computing chip (200), the first end of resistor R16 is connected to VCC power supply, the second end of resistor R16 is connected to the collector of optocoupler U7, and the emitter of optocoupler U7 is grounded. The EN pin of the wireless communication chip U8 is connected to the second end of the resistor R16, and the TXD and RXD pins of the wireless communication chip U8 are connected to the RXD and TXD pins of the edge computing chip (200) respectively.

8. The power grid digital twin visualization system with integrated edge computing chip according to claim 5, characterized in that: The wireless signal strength detection unit (303) includes a receiving antenna, a resistor R13, a capacitor C2, a detection chip U6, a resistor R14, a capacitor C3, a capacitor C4, a capacitor C5, and a capacitor C6. The detection chip U6 is an LTC5596. The first end of resistor R13 is connected to the control pin of the edge computing chip (200), the second end of resistor R13 is connected to the EN pin of the detection chip U6, the first end of capacitor C2 is grounded, the second end of capacitor C2 is connected to the second end of resistor R13, the output end of the receiving antenna is connected to the RFIN pin of the detection chip U6, the first end of resistor R14 is connected to the 3.3V power supply, the second end of resistor R14 is connected to the first end of capacitor C3, the second end of capacitor C3 is grounded, the VCC pin of the detection chip U6 is connected to the second end of resistor R14, the first end of capacitor C4 is connected to the OUT pin of the detection chip U6, the second end of capacitor C4 is connected to the FLTR pin of the detection chip U6, the first end of capacitor C5 is connected to the first end of capacitor C4, the second end of capacitor C5 is grounded, the first end of capacitor C6 is connected to the first end of capacitor C4, the second end of capacitor C6 is grounded, and the OUT pin of the detection chip U6 is also connected to the analog-to-digital conversion pin of the edge computing chip (200).

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