Simple HP CSPS power adapter

PDF_Simple HP CSPS Power Adapter.zip

Altium_Easy HP CSPS Power Adapter.zip

PADS_Easy HP CSPS Power Adapter.zip

BOM_Simple HP CSPS Power Adapter.xlsx

92285

Smart curtains based on the [LCSC Liangshanpai Development Board]

The Liangshan School-based smart curtain system is a smart home device that integrates voice control, infrared remote control, and automatic mode. The system can automatically open and close the curtains based on environmental conditions such as light intensity and raindrop detection, while also supporting manual control by the user via voice commands or an infrared remote control.

1. Background
With the development of science and technology and the improvement of people's living standards, intelligent home systems are increasingly appearing in people's lives, bringing people a fast and comfortable experience. For home necessities, curtains occupy an important position. Since manual curtains need to be opened and closed manually, electric curtains cannot be automatically controlled according to the light intensity and require a specific remote control, which has certain limitations. Therefore, an intelligent curtain control system based on Liangshanpai microcontroller was designed.
2. Technical indicators
(1) Automatic mode can be set to open or close via infrared remote control and voice; (2) In automatic mode, the curtains will automatically open when the light intensity is high and automatically close when the light intensity is low; (3) In automatic mode, the curtains will automatically open when a large number of raindrops are detected, which has a higher priority than light detection; (4) The curtains can be opened and closed at any time via infrared remote control or voice command, and the automatic mode can be closed; (5) After receiving the data, the main control chip drives the motor to run, realizing the intelligent curtain window system.
3. Main control
This expansion board uses Liangshanpai development board as the main control and brings out the pins to be used.
4. Raindrop and Light Detection
: Raindrop detection: The common working principle of raindrop sensors is to determine whether it is raining by detecting the conductivity of water droplets. It uses the change in conductivity between two electrodes to measure the presence of water droplets. There is an air gap between these two electrodes, which is normally an open circuit. When a water droplet comes into contact with the electrodes, the conductivity of the water droplet causes current to flow through the droplet, forming a current loop, thereby changing the resistance value between the electrodes. By measuring the change in resistance value, the presence of water droplets can be determined.
Light Detection: The light detection function of the expansion board is identified through a photoresistor. A photoresistor is a special resistor whose resistance value decreases rapidly with the increase of light intensity. In the absence of light, it is almost in a high-resistance state, so the resistance is very high in the dark.
5. Two-Phase Four-Wire Stepper Motor:
A two-phase four-wire stepper motor is a common type of stepper motor. Its principle is based on electromagnetic induction and electromagnetic attraction. It has two stator coils (referred to as phase A and phase B respectively) and a rotor (also called the shaft of the stepper motor). When phase A coil is energized, it generates a magnetic field. According to the right-hand rule, this magnetic field causes the rotor to rotate in a specific direction. Similarly, when phase B coil is energized, it also generates a magnetic field, causing the rotor to rotate in the opposite direction. By changing the direction and magnitude of the current in phase A and phase B coils, the number of steps and direction of rotation of the stepper motor can be controlled.
Specific schematic diagram shown:
6. Infrared
Remote Control Infrared Receiving Principle: The principle of infrared receiving is to utilize infrared radiation illuminating the infrared receiver head. A weak electrical signal is generated by the infrared photosensitive device, and after amplification and processing by the circuit, the infrared signal can be identified and decoded. Infrared Protocol Introduction: In the spectrum, electromagnetic waves with wavelengths from 760nm to 400um are called infrared rays, which are invisible light. We are all familiar with examples of infrared communication. Currently, almost all commonly used household appliances can be controlled via infrared remote control, such as televisions, air conditioners, and projectors. This technology is widely used, and the corresponding components are very inexpensive, making infrared remote control an ideal method for controlling our daily equipment.
7. HLK-V20 Voice Module
: The HLK-V20 is a high-performance, purely offline voice recognition module launched by Hailink Electronics for numerous purely offline control scenarios and products. It can be widely and quickly applied to smart homes, various smart small appliances, 86-type set-top boxes, toys, lighting fixtures, industrial applications, medical devices, IoT devices, automobiles, security and lighting, and other products requiring voice control. The HLK-V20 supports offline recognition of 150 local commands, allows for free customization of wake-up words, command words, and response broadcast words, and has rich peripheral interfaces. Offline voice recognition means it can only recognize fixed command words and does not require a network connection.
Specific schematic diagram:
This voice recognition module allows us to freely design command words, which can be configured through an online configuration platform. After configuration, a voice recognition firmware will be generated. We need to download the firmware to the module through pins B6 and B7. Therefore, pins B6 and B7 are brought out via headers below for easy downloading. It is also important to note that the module must be powered off before downloading the firmware. Power should only be applied to the module after the download tool has recognized it for normal downloading. This power-on/off operation is controlled by switch SW1 in the schematic diagram. During the debugging process

, the voice firmware could not be burned

. First attempt: Unable to burn normally; after testing, it was found that the USB to TTL adapter was incompatible. Solution: Purchase a CH340 programmer.
Second attempt: During burning, it continuously displayed "device is waiting," and it was found that the DuPont wire had poor contact. Solution: Replace the DuPont wire.

code.zip

WeChat_20240912121628.mp4

PDF_Smart Curtain Based on [LCSC Liangshanpai Development Board].zip

Altium-based Smart Curtain (based on LCSC Liangshanpai Development Board).zip

PADS_Smart Curtain Based on [LCSC Liangshanpai Development Board].zip

BOM_Based on the [LCSC Liangshanpai Development Board] Smart Curtain.xlsx

92286

Multifunctional welding filter fan

A multi-functional desktop exhaust fan that can be voice-controlled; some functions are still being improved.

A simple, voice-controlled, multi-functional desktop exhaust fan.
The design was inspired by the heavy welding fumes in the lab; seeing this event prompted the creation of this small exhaust fan.
To reduce costs, I used readily available modules and a LCSC ESP32 development board. The voice module and ESP32 communicate via serial port for bidirectional control. Other functions can also be achieved using the OLED and five-way switch on the back.
Currently implemented functions include: multi-level fan speed control and voice control.
Upcoming functions include: OLED weather forecast and clock, and Bluetooth control.
The complete product is shown in the image.
 
Note: The voice module must be removed and programmed; otherwise, it will not be detected.
A demo video is attached.

8584155a112cdcdd4a67ba1bd516259d.mp4

PDF_Multifunctional Welding Filter Fan.zip

Altium_Multi-functional Welding Filter Fan.zip

PADS_Multifunctional Welding Filter Fan.zip

PDF_Multifunctional Welding Filter Fan.zip

Altium_Multi-functional Welding Filter Fan.zip

PADS_Multifunctional Welding Filter Fan.zip

92287

Roselia_PCB_Light

Roselia Live Tour Rosenchor Shanghai Additional Performance Commemorative Light Board

It is recommended to choose a thinner board thickness, otherwise the yellow substrate will significantly affect light transmission.
Immersion gold plating with black solder mask is suggested.
The actual effect of Kirakira is shown in the image below (thickness 1.6).
Lightroom color adjustment can slightly improve this, as shown in the image below. The
back uses 38mm-40mm LED flexible filaments (red, white, purple, pink, ice blue, blue).
The casing is made using JLCPCB 3D printing.
Accessories include the casing and Gerber (Roselia_PCB_Light.zip). If you don't want to modify it, you can directly order the Gerber.
Note:
1. The original USB female connector had two positioning holes, which were removed to ensure a neat appearance. Therefore, the positioning pins under the female connector must be scraped off during soldering.
2. When soldering the filament, it is recommended not to let the filament be tightly attached to the board. Utilizing the reflection from the casing can make the light transmission more even.
3. The bottom of the board is silkscreened with "jlcjlcjlc". You can choose to add a custom code at a specified location when ordering.

Roselia light panel housing.zip

Roselia_PCB_Light.zip

PDF_Roselia_PCB_Light.zip

Altium_Roselia_PCB_Light.zip

PADS_Roselia_PCB_Light.zip

BOM_Roselia_PCB_Light.xlsx

92289

STM32F103C8T6 Minimum System Board Design

For this first attempt by a beginner, I added a CH340 module and a matching USB-Type-C interface according to my personal habits for easy debugging, and used the simple horn-shaped connector used by ST-linkV2 as the download interface to avoid the trouble of matching the interface when connecting DuPont wires.

MCU chip: STM32F103C8T6;
Serial port chip: CH340N;
Operating voltage: 5V|3.3V;
Attachment: Keil5 test project, including PC13 LED and USART1 initialization.
 
 

STM32F1_TEST_PROECT.zip

PDF_STM32F103C8T6 Minimum System Board Design.zip

Altium_STM32F103C8T6 Minimum System Board Design.zip

PADS_STM32F103C8T6 Minimum System Board Design.zip

BOM_STM32F103C8T6 Minimum System Board Design.xlsx

92290

ESP32's voice assistant

ESP32-based voice assistant

Project Overview:
This project is a voice assistant based on the ESP32 microcontroller. It features speech recognition and can answer simple questions.
Project Functionality:
This design is based on the ESP32-S3. It recognizes the input speech as text, connects to a big data model to obtain the answer, and then regenerates the text into speech for feedback.
Project Principle:
The main control chip used is the ESP32-S3-WROOM, which supports multiple communication protocols and can connect to Wi-Fi, Bluetooth, and Zigbee to meet different wireless communication needs.
The voice module uses the INMP441, which sends the PCM audio input from the i2s microphone to the SST speech recognition service to convert it into text. The obtained text answer is then converted back into speech via TTS for playback (the "speech-to-text-to-speech" process uses the iFlytek API).
The language model used is Volcano Engine (https://www.volcengine.com/product/ark)
, which is relatively easy to configure and suitable for beginners. WebSocket connections are used to process audio data, enabling streaming transmission and ensuring dialogue continuity.
The interactive components consist of two parts: a 1.8-inch touchscreen display and a MAX98357A audio power amplifier for voice playback and human-computer interaction.
The software
code references the large language model AI voice assistant from the Bilibili blogger "Bao Gai Chef Zhang Zuoren".
Important note:
Because the speech-to-text conversion and language model are from different websites, keyword fields in the code should be modified to ensure correct API connection.
The Wi-Fi name and password should be configured in advance in the code.
[Image of the actual product]