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Original title: Check out 50 domestic Loongson systems designed by college students! Brewing monitoring and robots are amazing

Fast Technology reported on August 27 that recently, the national finals of the 7th (2024) National College Students Embedded Chip and System Design Competition supported by Loongson Technology was successfully concluded in Nanjing.

In this competition, more than 640 teams registered to participate using Loongson processors.

After fierce competition in the preliminary round and the regional semi-finals, 50 teams' Loongson works finally stood out and advanced to the national finals.

7 teams won the national first prize, 15 teams won the national second prize, and 28 teams won the national third prize.

Next, let's take a look at the 7 outstanding works that won the national first prize:

1. Domestic 3D printing system based on Loongson Education

Aiming at the application field of 3D printing, we use Loongson Education Pi to realize the motion control of the 3D printing nozzle and build a complete domestically produced 3D printing system.

The system uses Loongson Education Pie as the main control chip of the 3D printing system, and makes full use of the 2K1000LA compiled by Loongson Education Pie to optimize the printing path and improve printing efficiency.

The serial port is used for communication, and the 1C102 single-chip microcomputer is used to control the motor to achieve precise control of the printing process.

It is equipped with a camera to deploy a visual neural network to monitor the printing process in real time, and has an intuitive and easy-to-use operation interface to visualize the printing process.

2. The fragrance spreads ten miles away - Zhilian Brewing House

This work realizes online real-time monitoring and control of the brewery.

It uses Loongson 1C102 and Wi-Fi communication technology for wireless data transmission.

The application of air pressure monitoring and alcohol monitoring technology ensures that the fermentation tanks always operate in a safe condition, which solves the problem that people outside the brewery cannot timely understand the factory environment and tank operation status, and realizes the intelligence of the brewery.

In addition, distributed multi-point sensor information collection is achieved through technologies such as temperature and humidity monitoring and the Internet of Things.

After data processing, it is transmitted to the display and control terminal, and real-time and historical data can be viewed on the mobile phone.

Both the host computer and the mobile phone can perform operations and controls on heater and fan equipment such as heating, humidification, and turning on lights to ensure that environmental values ​​are within the optimal range.

When the node value exceeds the limit, the processor can alarm and upload the information to the cloud, ensuring the safety and efficient operation of the brewery in many aspects.

3. Hull maintenance robot based on Loongson Pi II

The system uses Loongson 2K1000LA as the host computer processing core, is equipped with optical modules and laser sensor systems, and uses computer vision and SLAM technology to achieve three-dimensional visual inspection of the hull surface.

Combined with the motion control module, it can achieve fully automatic coverage of detection and refined modeling of special diseases.

Through the coordination of spatiotemporal data, hull inspection data query and disease development trajectory tracking can be realized.

The main functions are:

Motion control uses electromagnets to attract the hull, and the motor controls the wheel hub to achieve automatic inspection and manual control, and move autonomously on the hull;

During the movement, cameras and lidar are used to detect in real time whether the hull is damaged and determine its type;

The type of damaged part and its coordinates are displayed on the display screen, and the image and modeling data are sent back to the PC to mark the damaged part for subsequent maintenance.

4. Loongson Industrial Intelligent Distributed Internet of Things Sensor System

In response to the development needs of Industry 4.0 and intelligent manufacturing, the project designed a distributed industrial Internet of Things sensor system based on Loongson 2K1000LA and 1C102.

The system consists of three core modules: edge computing industrial Internet of Things terminals, diversified sensor nodes, and cloud-based intelligent management platform.

Among them, Loongson edge computing industrial Internet of Things terminals are deployed at the production site to process and analyze data in real time, greatly reducing data transmission delays and improving system response speed.

The data acquisition part does not require multi-protocol conversion, and directly measures and analyzes key parameters near the equipment to determine the stability of equipment voltage and current, uniformity of temperature and humidity, fire alarm, historical data query, real-time display of change curves and other functions, and monitor the status of on-site instruments in real time.

Diversified sensor nodes Loongson 1C102 and monitoring nodes are distributed near the target, evaluate the device status in real time, and use LoRA wireless spread spectrum communication technology to achieve long-distance, low-power wireless communication with the terminal.

The terminal uploads the data of each node to the cloud server through 4G-DTU. Users can view the data through the cloud intelligent management platform and remotely monitor the alarm information in real time.

The innovative points of this work are distributed sensor network design, low-power multi-sensor data fusion, non-invasive installation, energy management, and user interface innovation.

Providing supporting equipment through real-time monitoring can achieve value-added services and full life cycle management of facility operation and maintenance.

5. Dual-channel digital oscilloscope based on Loongson processor

In view of the problems that domestic oscilloscopes rely on imports, imported oscilloscopes are expensive, and the learning cost of using foreign oscilloscopes is high,This work uses the Loongson 2K1000LA domestic processor to design a domestic digital oscilloscope with independent intellectual property rights, real-time sampling mode and equivalent sampling mode.

The oscilloscope collects voltage through the probe input, the input impedance is 1MΩ, and it supports DC and AC coupling modes.

The signal level is adjusted through a programmable gain amplifier, and the signal is temporarily stored in SDRAM by using FPGA to drive high-speed AD conversion.

The Loongson 2K1000LA processor is used for data processing and human-computer interaction. It reads data fragments in the SDRAM as required, implements various measurement functions such as frequency, peak value, edge time, etc. through relevant algorithms, and displays them on the screen.

6. Smart home protection system for teenagers

The system is designed to correct children's sitting posture and detect indoor environment. Parents can view and manage their children's situation in real time through the browser.

Implement a posture recognition algorithm that uses room cameras and combines computer vision technology to monitor teenagers' sitting posture in real time, detect bad sitting postures (such as hunching, leaning back, etc.), and correct them.

The camera collects real-time video of teenagers’ sitting postures and transmits the video data to Loongson Education Party, which then uploads the video to the server to achieve a live broadcast effect.

The results of the gesture recognition algorithm are uploaded to the server and displayed in real time on the live screen in the form of a watermark.

Build a Zigbee sensor network to monitor various parameters of the indoor environment, including detection sensors for harmful gases and fires, and upload them to the server through Education Pi. The results will be displayed in real time on the live screen in the form of a watermark.

Users can remotely view the live broadcast of the camera and the historical data collected by the device through a browser.

When there is a problem with the teenager's sitting posture or toxic gas is detected, the speaker will play the corresponding prompt audio to remind the teenager to correct the sitting posture or protect the mouth and nose.

Create an intelligent eye protection light that can adjust the light brightness according to the light intensity of the current environment to achieve eye protection effect.

7. Loongson IoT Industrial Safety Monitoring System

The system uses a hardware platform based on the Loongson 2K1000LA processor as the display and computing terminal, and an integrated system of 1C102 microcontroller and multiple sensors as the sensor node. It transmits sensor data to the terminal in real time via Wi-Fi and uploads it to the cloud via MQTT.

The terminal is designed with a GUI interface to display all node data and system status, and can export data in TXT text format.

In abnormal situations, the background color of the node is changed and the user is notified via SMTP.

The sensor node is powered by a 14500 lithium battery, which can be charged via USB and will sound an alarm when the remaining power drops below 20%.

It can collect multi-dimensional environmental information to monitor the safety of industrial production environment. It has low power consumption, low cost, national production, integration and flexible customization.