Power data analysis device based on TB-RK3399Pro hardware platform

By using a power data analysis device based on TB-RK3399Pro, the problem that power data analysis methods are difficult to meet the needs of large data volumes and complex analysis is solved. It realizes efficient acquisition, transmission, processing and display of power data, and improves the stable operation and intelligent management of the power system.

CN223613434UActive Publication Date: 2025-11-28INFORMATION & COMM COMPANY OF QINGHAI ELECTRIC POWER
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Patent Information

Application Number
CN202423033309.9
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2024-12-10
Publication Date
2025-11-28
Estimated Expiration
2034-12-10

AI Technical Summary

Technical Problem

Existing power data analysis methods are insufficient to meet the ever-increasing volume of data and complex analytical needs, necessitating the development of more efficient power data analysis devices to support the stable operation and management of power systems.

Method used

By building a power data analysis device based on TB-RK3399Pro, including power data acquisition, transmission and processing modules, and utilizing wireless sensors, wireless receiving modules, central processing modules and output modules, and employing wireless transmission and interface technologies, efficient acquisition, transmission, processing and display of power data can be achieved.

Benefits of technology

It enables efficient collection, transmission, processing, and display of power data, improving the stable operation and intelligent management of the power system.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The utility model discloses an electric power data analysis device based on a TB-RK3399Pro hardware platform, which is characterized by comprising an electric power data acquisition module used for acquiring electric power data; the wireless transmission and receiving module is used for sending the collected power data to the central processing module in a wireless mode; the central processing module is used for carrying a hardware development platform of an electric power data processing and analysis model, and the hardware development platform comprises a TB-RK3399Pro and a peripheral circuit connected to the TB-RK3399Pro; and the output module is connected with the central processing module and is used for outputting and displaying a data processing and analysis result. According to the utility model, a hardware platform capable of completing data acquisition, transmission, processing analysis and display is constructed, a hardware basis is provided for an electric power analysis software model, and the data processing speed is improved by utilizing the high-performance characteristic of the TB-RK3399Pro chip.
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Description

TECHNICAL FIELD

[0001] The utility model relates to a kind of electric power data analysis devices based on TB-RK3399Pro hardware platform, belong to machine learning and electric power data analysis application equipment technical field. BACKGROUND

[0002] With the continuous expansion and complication of power system, the collection, processing and analysis of electric power data become particularly important, and the traditional electric power data analysis method has been difficult to meet the growing data volume and complex analysis requirements, so it is necessary to develop more efficient and intelligent data analysis devices to support the operation and management of power system. At present, electric power data analysis is mainly realized by using power quality analyzers, voltage and current sensors, electric energy meters, telemetry terminal units and data collectors for electric power data collection and analysis. Power quality analyzers analyze voltage, current, power factor and harmonic parameters. Voltage and current sensors monitor voltage and current signals in the power grid in real time. Electric energy meters measure electric energy consumption. Telemetry terminal units and data collectors collect power grid information and power equipment operating status. The existing electric power data analysis method mainly includes statistical and correlation-based analysis and machine learning-based analysis method.

[0003] TB-RK3399Pro is upgraded on the basis of RK3399, and a neural network processing unit (NPU) is added, which supports the mainstream platform of caffe. In terms of CPU, RK3399Pro adopts a combination of dual-core A72 and quad-core A53, and when programming depth optimization is performed, certain operations can be manually bound on the large core to improve general operation speed. As a unique operation unit of RK3399Pro, the NPU unit supports neural network calculation, and outputs the required results by passing the computation graph and input data. TB-RK3399Pro increases hardware acceleration capability, and is suitable for intelligent devices that require high-performance computing. SUMMARY

[0004] The technical problem to be solved by the utility model is how to use TB-RK3399Pro chip to build electric power data analysis device hardware device to realize electric power data analysis.

[0005] To solve the above technical problems, the utility model provides a kind of electric power data analysis device based on TB-RK3399Pro hardware platform, including:

[0006] Electric power data acquisition module is used to collect electric power data;

[0007] Wireless transmission and receiving module is used to send the collected electric power data into central processing module by wireless mode;

[0008] A central processing module for a hardware development platform for power data processing and analysis model, the hardware development platform comprising a TB-RK3399Pro and a peripheral circuit connected to the TB-RK3399Pro.

[0009] An output module connected to the central processing module for outputting and displaying the data processing and analysis results.

[0010] The foregoing power data analysis device based on the TB-RK3399Pro hardware platform, the power data acquisition module comprises a sensor, the sensor is connected with the data acquisition circuit, the data acquisition circuit is connected with the FPGA chip, and the FPGA chip is connected with the STM32F407ZGT6 development board.

[0011] The foregoing power data analysis device based on the TB-RK3399Pro hardware platform, the FPGA chip further comprises a peripheral circuit, the peripheral circuit comprises a power supply circuit and a storage expansion circuit, the power supply circuit is connected with an external input power supply to provide power supply for the FPGA chip; the storage expansion circuit is connected with a memory for expanding the storage space of the FPGA chip to store more data or programs.

[0012] The foregoing power data analysis device based on the TB-RK3399Pro hardware platform, the STM32F407ZGT6 development board adopts a 32-bit microcontroller, and the 32-bit microcontroller processor adopts an ARM architecture.

[0013] The FPGA chip realizes voltage synchronous acquisition through an ADC, and the FPGA chip adopts an EP4CE6E22I7N model chip of an Altera Cyclone IV device.

[0014] The data acquisition circuit adopts a sampling analog-to-digital converter with a model number AD7768.

[0015] The foregoing power data analysis device based on the TB-RK3399Pro hardware platform, the wireless transmission and reception module comprises a wireless sending module and a wireless receiving module, each power data acquisition module is connected with a corresponding wireless sending module, and the wireless receiving module is connected with the central processing module.

[0016] The foregoing power data analysis device based on the TB-RK3399Pro hardware platform, the smart meter directly transmits data to the wireless receiving module through WIFI.

[0017] The aforementioned power data analysis device based on the TB-RK3399Pro hardware platform includes a wireless transmission and reception module comprising a wireless transmitting module and a wireless receiving module. The wireless transmitting module includes a data transmission platform and an RS232 serial port. The wireless receiving module also includes a data transmission platform. One end of the RS232 serial port of the wireless transmitting module is connected to an STM32F407ZGT6 development board, and the other end is connected to the data transmission platform of the wireless transmitting module. The data transmission platform of the wireless transmitting module is communicatively connected to the data transmission platform of the wireless receiving module. The data transmission platform of the wireless receiving module is connected to the STM32F407ZGT6 hardware development board via the USB port or Ethernet port of the wireless receiving module.

[0018] The STM32F407ZGT6 development board sends data to a CF card for storage or transmits it to the central processing module of the host control via a wireless transmission module. The STM32F407ZGT6 development board connects to the data transmission platform of the wireless transmission module via RS232 serial communication.

[0019] The wireless receiving module receives data from its data transmission platform via RS232 serial communication, while the central processing module establishes a communication connection with the power data acquisition module via USB serial port or Ethernet port.

[0020] The aforementioned power data analysis device based on the TB-RK3399Pro hardware platform includes, in the central processing module, the peripheral circuits of the TB-RK3399Pro, which are connected to the AI ​​processor RK3399Pro, including CPU memory, NPU memory, memory, USB interface, solid-state disk interface, HDMI interface, debugging port, reset button, power button, and power system.

[0021] The CPU memory includes two LPDDR3 chips connected to the RK3399Pro; the NPU memory is one LPDDR3 chip connected to the RK3399Pro; the solid-state drive interface is an M.2 interface; the debugging port is a UART debugging port; the HDMI interface is an HDMI Type A interface; and the memory is an eMMC NAND Flash memory.

[0022] The aforementioned power data analysis device based on the TB-RK3399Pro hardware platform includes an output module comprising an HDMI interface and a display. One end of the HDMI interface is connected to the central processing module, and the other end is connected to the display.

[0023] The aforementioned power data analysis device based on the TB-RK3399Pro hardware platform includes a temperature sensor, a humidity sensor, a barometric pressure sensor, and a wind speed sensor.

[0024] The temperature sensor used is a PT100 sensor;

[0025] The humidity sensor is an HS1100 humidity-sensitive capacitor;

[0026] The barometric pressure sensor is the PTB220 intelligent, fully compensated digital barometric pressure sensor;

[0027] The wind speed sensor is an EL15-1 type wind speed sensor.

[0028] The beneficial effects achieved by this utility model are as follows: The power data analysis device of this utility model includes a power data acquisition module, a wireless transmission and reception module, a central processing module, and an output module. The central processing module is built using the TB-RK3399Pro chip to construct a hardware platform that can complete data acquisition, transmission, processing analysis, and display, providing a hardware foundation for power analysis software models. The high-performance characteristics of the TB-RK3399Pro chip are utilized to improve data processing speed, which is conducive to the stable operation, optimized scheduling, and intelligent management of the power system. Attached Figure Description

[0029] Figure 1 This is a schematic diagram of the power data analysis device based on the TB-RK3399Pro chip in Embodiment 1 of this utility model;

[0030] Figure 2 This is a schematic diagram of the power data acquisition module in Embodiment 1 of this utility model;

[0031] Figure 3 This is a schematic diagram of the wireless transmission and reception module in Embodiment 1 of this utility model. Detailed Implementation

[0032] The technical solution of this utility model will be further described in detail below with reference to the accompanying drawings. Example 1

[0033] like Figure 1 As shown, this embodiment provides a power data analysis device based on the TB-RK3399Pro hardware platform, comprising:

[0034] Power data acquisition module, used to acquire power data;

[0035] The wireless transmission and reception module is used to wirelessly transmit the collected power data to the central processing module.

[0036] A central processing module is used for a hardware development platform of power data processing and analysis model, and the hardware development platform comprises a TB-RK3399Pro and a peripheral circuit connected to the TB-RK3399Pro.

[0037] An output module is connected with the central processing module and is used for outputting and displaying data processing and analysis results.

[0038] As shown in the figure, the power data acquisition module comprises sensors connected with a data acquisition circuit, the data acquisition circuit is connected with an FPGA chip, and the FPGA chip is connected with an STM32F407ZGT6 development board. Figure 2

[0039] The sensors comprise temperature sensors, humidity sensors, air pressure sensors and wind speed sensors for collecting temperature, humidity, air pressure and wind speed data information respectively.

[0040] The FPGA chip further comprises a peripheral circuit, the peripheral circuit comprises a power supply circuit and a storage expansion circuit, the power supply circuit is connected with an external input power supply and provides power supply for the FPGA chip, and the storage expansion circuit is connected with a memory and is used for expanding the storage space of the FPGA chip so as to store more data or programs.

[0041] The wireless transmission and receiving module comprises a wireless sending module and a wireless receiving module, each power data acquisition module is connected with a corresponding wireless sending module, the wireless receiving module is connected with the central processing module, and the central processing module is connected with the output module.

[0042] The smart meter directly transmits data to the wireless receiving module through WIFI.

[0043] The STM32F407ZGT6 development board adopts a 32-bit microcontroller as a control core, the 32-bit microcontroller processor adopts an ARM architecture, peripheral resources are more abundant than those of an 8-bit single-chip microcomputer, and the cost performance is high.

[0044] The FPGA chip realizes voltage synchronous acquisition through an ADC, the FPGA chip adopts an EP4CE6E22I7N type chip of an Altera Cyclone IV device, the running speed of the device can meet the demand of parallel expansion, compared with other FPGA devices, the FPGA device has the advantages of high cost performance, low power consumption and low cost.

[0045] The data acquisition circuit adopts an 8-channel 24-bit simultaneous sampling analog-to-digital converter of an AD company, the model number of the analog-to-digital converter is AD7768, and the voltage acquisition rate is 4MHz in the embodiment. The AD7768 internally provides an analog input pre-charge buffer, the pre-charge buffer function can be started by configuring a specific register, so as to meet the driving requirement.​

[0046] The FPGA chip collects temperature, humidity, air pressure and wind speed information through its peripheral data acquisition circuit, and transmits the data to the STM32F407ZGT6 development board. The STM32F407ZGT6 development board transmits all collected data to the hardware development platform of the central processing module through the wireless transmission module. The smart meter data has WIFI function, and can directly transmit data to the wireless receiving module, thereby completing a collection process.

[0047] As shown in Figure 3 The wireless transmission and receiving module includes a wireless sending module and a wireless receiving module. The wireless sending module includes a data transmission platform and an RS232 serial port. The wireless receiving module includes a data transmission platform. One end of the RS232 serial port of the wireless sending module is connected to the STM32F407ZGT6 development board. The other end of the RS232 serial port of the wireless sending module is connected to the data transmission platform of the wireless sending module. The data transmission platform of the wireless sending module is in communication connection with the data transmission platform of the wireless receiving module. The data transmission platform of the wireless receiving module is connected to the hardware development platform STM32F407ZGT6 development board through the USB port or the Ethernet port of the wireless receiving module. The smart meter can directly send data to the wireless receiving module.

[0048] The STM32F407ZGT6 development board transmits data to the CF card for storage or transmits data to the central processing module of the upper control through the wireless sending module. The STM32F407ZGT6 development board is connected to the data transmission platform of the wireless sending module through the RS232 serial port. The data transmission platform uses lora transparent transmission within 30km, and uses internet of things card transmission beyond 30km.

[0049] The wireless receiving module receives data from its data transmission platform through the RS232 serial port. The central processing module establishes communication connection with the power data acquisition module through the USB serial port or the Ethernet port.

[0050] The center processing module is a hardware development platform, which comprises a TB-RK3399Pro and a peripheral circuit platform connected to the TB-RK3399Pro, wherein the peripheral circuit of the RK3399Pro comprises a CPU memory, an NPU memory, a memory, a USB interface, a solid state disk interface, an HDMI interface, a debugging port, a reset button, a power button and a power system connected to the AI processor RK3399Pro. The RK3399Pro is an ARM-based AI processor launched by Rockchip, which is a high-performance and low-power AI processor integrating CPU, GPU, VPU, NPU, PCI-EX4 interface and the like. The CPU is composed of a 64-bit dual-core Cortex-A72+four-core Cortex-A53 based on ARM, with a main frequency of 1.8GHz and a performance reaching the level of a server processor. Among them, Core0-Core3 is a small core, and Core4-Core5 is a large core. When designing, some operations of the CPU can be manually bound to the large core, thereby improving the speed of general operation. In order to improve general operation, the CPU of the RK3399Pro fixes some specific operations such as GPU, VPU and NPU in the chip circuit, thereby greatly improving the operation speed, reducing the power consumption and cost.

[0051] The CPU memory comprises two pieces of LPDDR3 connected to the RK3399Pro respectively; the NPU memory is a piece of LPDDR3 connected to the RK3399Pro; the solid state disk interface is an M.2 interface; the debugging port is a UART debugging port; the HDMI interface is an HDMI A type interface, and the memory is an eMMC NAND Flash memory.

[0052] The hardware development platform environment building process is as follows: (1) power on; (2) use USB drive to burn firmware; (3) use HDMI to connect display; (4) connect WIFI; (5) install and update system software; (6) install python module; (7) install corresponding package.

[0053] The output module comprises an HDMI interface and a display, one end of the HDMI interface is connected to the center processing module, and the other end is connected to the display. The display is a display screen supporting a resolution of up to 4K, a hardware video decoding of up to 4Kp60, and a RAM of up to 4GB. Through the HDMI interface, an image can be output.

[0054] As Figure 1As shown, in operation, various sensors (including temperature, humidity, air pressure, and wind speed sensors) are connected to the hardware development platform through wireless transmission, and the collected power data is transmitted to the hardware development platform for processing. The hardware platform analyzes the data by loading power analysis algorithms, and the hardware development platform is connected to a display through an HDMI interface, and the analysis results are displayed on the display. Embodiment 2

[0055] The embodiment provides a power data analysis device based on a TB-RK3399Pro hardware platform, which comprises:

[0056] a power data acquisition module, configured to acquire power data;

[0057] a wireless transmission and receiving module, configured to transmit the acquired power data to a central processing module in a wireless manner;

[0058] a central processing module, configured to load a hardware development platform of a power data processing and analysis model, wherein the hardware development platform comprises a TB-RK3399Pro and a peripheral circuit connected to the TB-RK3399Pro;

[0059] an output module, connected to the central processing module, configured to output and display data processing and analysis results.

[0060] The temperature sensor adopts a PT100 sensor, which is a platinum resistance that changes with temperature. In operation, the temperature value is obtained by checking the resistance value of the PT100 scale. The embodiment adopts a four-wire PT100, which can eliminate the influence of lead resistance from the hardware and obtain higher measurement accuracy.

[0061] The temperature sensor in the power data acquisition module is designed with a stable 1mA constant current source circuit and a high-performance differential amplifier. The differential amplifier takes a four-way zero drift, single power supply AD8574 chip produced by ADI Company as the core. The 1mA constant current source circuit has high input impedance, strong common mode rejection capability and small output drift voltage. At the same time, the circuit also has high differential voltage gain, thereby ensuring high-precision measurement of temperature.

[0062] The humidity sensor is a HS1100 humidity-sensitive capacitor. The humidity measurement circuit of the HS1100 humidity-sensitive capacitor takes a 555 integrated timer chip as the core, expands four precision resistors and a humidity sensor HS1100 to form a multivibrator, and appropriately sets the parameters to output a fixed duty cycle pulse signal. The capacitor value of the HS1100 is converted into a frequency signal through the multivibrator, and the single-chip microcomputer system realizes real-time observation of humidity by frequency measurement and processing of the frequency signal.

[0063] The air pressure sensor is a smart, full-compensation digital air pressure sensor PTB220, which uses a silicon capacitive pressure sensor of BAROCAP as a core sensing element.

[0064] The wind speed sensor is an EL15-1 type wind speed sensor, which adopts an overload protection design at the input and output ends, enhances the stability and reliability in various environments, and is also equipped with a selected heating system, can be normally used in a low temperature environment of-50 DEG C, greatly widens the use range.

[0065] In addition to the above embodiments, the utility model can have other implementation manners. Any technical scheme formed by equivalent replacement or equivalent transformation falls within the protection scope required by the utility model.

Claims

1. A power data analysis device based on a TB-RK3399Pro hardware platform, characterized in that, The utility model relates to an electric power data acquisition and processing system, comprising: a power data acquisition module for acquiring power data; a wireless transmission and reception module for sending the acquired power data to a central processing module through wireless means; a central processing module for carrying a hardware development platform of a power data processing and analysis model, the hardware development platform comprising a TB-RK3399Pro and peripheral circuits connected to the TB-RK3399Pro; an output module connected to the central processing module for outputting and displaying the results of data processing and analysis. 2.The power data analysis device based on the TB-RK3399Pro hardware platform of claim 1, wherein, The power data acquisition module comprises a sensor connected to a data acquisition circuit, the data acquisition circuit is connected to an FPGA chip, and the FPGA chip is connected to an STM32F407ZGT6 development board. 3.The power data analysis device based on the TB-RK3399Pro hardware platform of claim 2, characterized in that, The FPGA chip further comprises peripheral circuits, including a power supply circuit and a storage expansion circuit, the power supply circuit is connected to an external power supply to provide power supply for the FPGA chip; the storage expansion circuit is connected to a memory for expanding the storage space of the FPGA chip to store more data or programs. 4.The power data analysis device based on the TB-RK3399Pro hardware platform of claim 2, wherein, The STM32F407ZGT6 development board adopts a 32-bit microcontroller, which adopts an ARM architecture; The FPGA chip realizes synchronous acquisition of voltage through an ADC, and adopts an EP4CE6E22I7N model chip of Altera Cyclone IV device; The data acquisition circuit adopts a sampling analog-to-digital converter with a model number of AD7768. 5.The power data analysis device based on TB-RK3399Pro hardware platform of claim 1, wherein, The wireless transmission and reception module comprises a wireless sending module and a wireless receiving module, each power data acquisition module is connected to a corresponding wireless sending module, and the wireless receiving module is connected to the central processing module. 6.The power data analysis device based on the TB-RK3399Pro hardware platform of claim 5, wherein, The smart meter directly transmits data to the wireless receiving module through WIFI. 7.The power data analysis device based on TB-RK3399Pro hardware platform of claim 5, wherein, The wireless transmission and reception module comprises a wireless sending module and a wireless receiving module, the wireless sending module comprises a data transmission platform and an RS232 serial port, the wireless receiving module comprises a data transmission platform, one end of the RS232 serial port of the wireless sending module is connected to the STM32F407ZGT6 development board, the other end of the RS232 serial port of the wireless sending module is connected to the data transmission platform of the wireless sending module, and the data transmission platform of the wireless sending module is in communication connection with the data transmission platform of the wireless receiving module; the data transmission platform of the wireless receiving module is connected to the hardware development platform STM32F407ZGT6 development board through a USB port or an Ethernet port of the wireless receiving module; The STM32F407ZGT6 development board transmits data to a CF card for storage or transmits the data to the central processing module of the upper control through the wireless sending module, and the STM32F407ZGT6 development board is connected to the data transmission platform of the wireless sending module through the RS232 serial port communication; The wireless receiving module receives data from the data transmission platform thereof through the RS232 serial port communication, and the central processing module establishes a communication connection with the power data acquisition module through a USB serial port or an Ethernet port. 8.The power data analysis device based on the TB-RK3399Pro hardware platform of claim 1, wherein, In the center processing module, the peripheral circuit includes CPU memory, NPU memory, memory, USB interface, solid state disk interface, HDMI interface, debugging port, reset button, power button and power system connected to the TB-RK3399Pro; The CPU memory includes two pieces of LPDDR3 respectively connected to the RK3399Pro; the NPU memory is a piece of LPDDR3 connected to the RK3399Pro; the solid state disk interface is an M.2 interface; the debugging port is a UART debugging port; the HDMI interface is an HDMI A type interface, and the memory is an eMMC NAND flash memory. 9.The power data analysis device based on the TB-RK3399Pro hardware platform of claim 1, wherein, The output module includes an HDMI interface and a display, one end of the HDMI interface is connected to the center processing module, and the other end is connected to the display. 10.The power data analysis device based on the TB-RK3399Pro hardware platform of claim 2, wherein, The sensor includes a temperature sensor, a humidity sensor, an air pressure sensor and a wind speed sensor; The temperature sensor adopts a PT100 sensor; The humidity sensor is a HS1100 humidity sensitive capacitor; The air pressure sensor is a smart, fully compensated digital air pressure sensor PTB220; The wind speed sensor is an EL15-1 type wind speed sensor.