CN215932400U - Open-source FPGA edge calculation acceleration control system compatible with Arduino platform - Google Patents

Abstract

The utility model discloses an open-source FPGA edge calculation acceleration control system compatible with an Arduino platform, which comprises an ESP32 wireless chip, a power management unit, a USB-to-serial port chip, a USB-C interface, a programmable logic gate array, a memory, an antenna, an Arduino input/output interface, an LED lamp, a key, a camera interface, a screen interface, a mini HDMI and an attitude sensor, wherein the programmable logic gate array is respectively connected with the LED lamp, the key, the camera interface, the screen interface, the mini HDMI, the attitude sensor, the Arduino input/output interface, an ESP32 wireless chip and the power management unit, the ESP32 wireless chip is respectively connected with the power management unit, the antenna, the memory and the Arduino input/output interface, and the ESP32 wireless chip is also connected with the USB-C interface through the USB-to-serial port chip. The accelerator with AI identification capability is designed on an Arduino open source hardware platform by using a sailing Spartan-7XC7S15FPGA chip, and development threshold and cost are reduced by benefiting from open source hardware and software.

Description

Open-source FPGA edge calculation acceleration control system compatible with Arduino platform

Technical Field

The utility model relates to a control system, in particular to an open-source FPGA edge calculation acceleration control system compatible with an Arduino platform.

Background

The intelligent production system has the advantages that the intelligent production of people is improved to a new height while the production efficiency is greatly improved through the assistance of industrial intelligence, the number of products of the open source programmable gate array (FPGA) which can be flexibly applied at present is very small, the threshold is high, and the high-performance FPGA combined with the open source Arduino platform is not used in the field of artificial intelligence.

The problems of the prior art are as follows:

the FPGA learning cost is high, and the verification period of the independently developed prototype is long.

2. Product without simple and easily accessible open source Arduino combined with high-performance FPGA

3. At present, the construction cost of artificial intelligence image recognition is high.

SUMMERY OF THE UTILITY MODEL

The utility model aims to provide an open-source FPGA edge calculation acceleration control system compatible with an Arduino platform, so as to solve the problems in the background technology.

In order to achieve the purpose, the utility model provides the following technical scheme:

the open-source FPGA edge calculation acceleration control system compatible with the Arduino platform comprises an ESP32 wireless chip, a power management unit, a USB-to-serial port chip, a USB-C interface, a programmable logic gate array, a memory, an antenna, an Arduino input/output interface, an LED lamp, a key, a camera interface, a screen interface, a mini HDMI and an attitude sensor, wherein the programmable logic gate array is respectively connected with the LED lamp, the key, the camera interface, the screen interface, the mini HDMI, the attitude sensor, the Arduino input/output interface, an ESP32 wireless chip and the power management unit, the ESP32 wireless chip is respectively connected with the power management unit, the antenna, the memory and the Arduino input/output interface, and the ESP32 wireless chip is further connected with the USB-C interface through the USB-to-serial port chip.

As a further scheme of the utility model, the programmable logic gate array adopts a sailing XC7S15 programmable logic gate array.

As a further scheme of the utility model, the LED lamp is a red, blue and yellow LED lamp;

as a further scheme of the utility model, the USB-to-serial port chip adopts a CH340 series chip;

as a further scheme of the utility model, the Arduino input/output interface is connected with an Arduino compatible expansion board and a main control board.

Compared with the prior art, the utility model has the beneficial effects that:

the utility model relates to an accelerator with AI identification capability, which is designed on an Arduino open source hardware platform by using a sailing Spartan-7XC7S15FPGA chip, benefits from open source hardware and software, reduces development threshold and cost, integrates wifi and Bluetooth chips capable of being programmed secondarily, can flexibly change networking types, integrates digital and analog expansion interfaces, can flexibly expand various sensors, cameras, screens and the like, also comprises a standard Arduino expansion interface, can expand a standard Arduino expansion board, adopts a flexible power supply mode, can be powered by an Arduino mainboard, can reversely supply power to the mainboard through Type C, has a mini interface, can directly output videos, and is more convenient for manual intelligent video identification and video output.

Drawings

FIG. 1 is a schematic block diagram of a circuit of an open-source FPGA edge calculation acceleration control system compatible with an Arduino platform.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1, in the embodiment of the present invention, an open-source FPGA edge calculation acceleration control system compatible with an Arduino platform includes an ESP32 wireless chip, a power management unit, a USB to serial port chip, a USB-C interface, a programmable logic gate array, a memory, an antenna, an Arduino input/output interface, an LED lamp, a key, a camera interface, a screen interface, a mini HDMI, and an attitude sensor, where the programmable logic gate array is connected to the LED lamp, the key, the camera interface, the screen interface, the mini HDMI, the attitude sensor, the Arduino input/output interface, an ESP32 wireless chip and the power management unit, the ESP32 wireless chip is connected to the power management unit, the antenna, the memory, and the Arduino input/output interface, and the 32 wireless chip is connected to the USB to ESP interface through the USB to serial port chip.

Programmable gate array adopts sailingsi XC7S15 programmable gate array, the LED lamp is red blue yellow LED lamp, Arduino input/output interface connects Arduino compatible expansion board and main control board, USB changes serial ports chip and adopts CH340 series chip.

The sailing XC7S15 is used as a main control, and the main work is divided into three parts:

the main controller receives and processes a camera video signal, performs video analysis calculation, and outputs an analysis result through a mini HDMI;

secondly, data of the sensor is collected for analysis, and the result is transmitted to ESP32 through a serial bus and uploaded to the cloud;

and thirdly, the serial bus is communicated with the Arduino master control to be used as a coprocessor for receiving control instructions and executing operations such as data acquisition and analysis.

The ESP32 wireless chip is used as an integrated SOC of WiFi/BLE, mainly processes information transmitted by Arduino and Xilinx XC7S15 and issues the information to a network platform, and meanwhile, the ESP32 wireless chip can perform low-power-consumption self-running and wake up networking, the ESP32 is stable in performance, and the working temperature range reaches-40 ℃ to +125 ℃. The integrated self-calibration circuit realizes dynamic voltage adjustment, can eliminate the defects of an external circuit and adapt to the change of external conditions, the ESP32 integrates the functions of an antenna switch, an RF balun, a power amplifier, a receiving low-noise amplifier, a filter, a power management module and the like, the ESP32 can realize strong processing performance and reliable safety performance and Wi-Fi & Bluetooth functions only by few peripheral devices, the ESP32 can be used as an independent system running application program or slave equipment of a host MCU, and the Wi-Fi and Bluetooth functions are provided through an SPI/SDIO or an I2C/UART interface.

Attitude sensor is responsible for gathering 3 directional acceleration signal and transmitting for Arduino and Xilinx XC7S15, and screen interface connects the screen display as digital display output, and the camera interface mainly does the frequency and gathers and transmit for Xilinx and handle, and Arduino input/output interface connects the compatible expansion board of Arduino and main control board, and red green blue LED lamp and button provide abundant input and output information for the user, by user' S own nimble configuration, attitude sensor can adopt MPU-6500.

In summary, the accelerator with AI identification capability is designed on an Arduino open source hardware platform by using a sailing Spartan-7XC7S15FPGA chip, development thresholds and cost are reduced due to open source hardware and software, wifi and Bluetooth chips capable of being programmed secondarily are integrated, networking types can be changed flexibly, meanwhile, the accelerator integrates digital and analog extension interfaces, can flexibly extend various sensors, cameras, screens and the like, further comprises a standard Arduino extension interface and a standard Arduino extension board, adopts a flexible power supply mode, can be powered by an Arduino mainboard, can reversely supply power to the mainboard through Type C, has a mini HDMI interface, can directly output video, and is more convenient for manual intelligent video identification and video output.

It will be evident to those skilled in the art that the utility model is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the utility model being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims (6)

1. The utility model provides a compatible Arduino platform's open source FPGA edge calculates acceleration control system, a serial communication port chip, USB-C interface, programmable logic gate array, memory, antenna, Arduino input/output interface, LED lamp, button, camera interface, screen interface, mini HDMI and attitude sensor are changeed to wireless chip, power management unit, antenna, memory and Arduino input/output interface to its characterized in that, including wireless chip, power management unit, USB commentaries on classics serial port chip, USB-C interface, programmable logic gate array, button, camera interface, screen interface, mini HDMI, attitude sensor, Arduino input/output interface, wireless chip and power management unit, antenna, memory and Arduino input/output interface are still connected respectively to wireless chip, and wireless chip still changes serial port chip connection USB-C interface through USB.

2. The Arduino platform compatible open source FPGA edge compute acceleration control system of claim 1, in which the programmable gate array employs a Serpentine XC7S15 programmable gate array.

3. The Arduino platform compatible open source FPGA edge computing acceleration control system of claim 1, wherein the LED lamp is a red, blue and yellow LED lamp.

4. The open-source FPGA edge computation acceleration control system of claim 1 that is compatible with the Arduino platform, characterized in that the Arduino input/output interface connects with the Arduino compatible expansion board and the main control board.

5. The Arduino platform compatible open source FPGA edge computing acceleration control system of claim 1, characterized in that the wireless chip employs ESP 32.

6. The Arduino platform compatible open source FPGA edge computing acceleration control system of claim 1, wherein the USB to serial port chip is CH340 series chip.

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