KinCony B2 ESP32 smart controller based on ESP32-S3-WROOM-1U (N16R8) wifi chip. Support 2 channel relay output, 4 channel 1-wire GPIOs, 4 channel ADS1115 16bit analog input ports. One SD card using SPI bus. B2 include DS3231 high precision RTC clock chip. LCD display will show wifi and ethernet IP address and Tuya connection state. B2 have I2C bus extender and RS485 port. B2 support use SIM7600E 4G module. You can write any code by Arduino IDE / MicroPython / ESP-IDF development tool to ESP32 module. We will supply Arduino / ESP-IDF demo code for different samples. Everyone can modify and change the code for your own smart home automation system project. it support use by ESPHome for home assistant or tasmota firmware for smart home automation DIY. B2 use KCS v3 firmware, it support home assistant auto discovery function by MQTT, so without write any config code (zero code) for home assistant. KCS v3 support KinCony cloud service (official shop customer free 2 years), remote monitor and control device by webpage in anywhere. KCS v3 support KinCony board integrate to Loxone Miniserver. Support Apple HomeKit for Siri.

Model No. KinCony B2
Description: KinCony 2 Channel ESP32-S3 Smart Relay Controller – B2
Power supply: 12-24V DC
Processor: ESP32-S3-WROOM-1U (N16R8)
Size: 124mm*83mm*56mm
interfaces: Ethernet(RJ45)-LAN 100Mbps IPv4/IPv6,WiFi,RS485,Bluetooth,USB-C,LCD,I2C,Tuya Module, 4G SIM7600
RTC: DS3231 high precision chip (battery socket on PCB)
SD Card: SPI bus
Installation method: DIN RAIL
LCD: SSD1306 I2C display
Outputs:
2CH relay Outputs, every relay use by MAX AC270V/10A
Inputs:
ADS1115 16bit ADC: 2CH analog input DC0-5V (A1,A2) 2CH analog input 4-20mA (A3,A4)
2CH dry contact inputs (optocoupler isolation, long distance circuit for MAX 500 meters cable)
3 buttons: 1:ESP32 Reset 2:ESP32 Download 3:Tuya config
1-Wire GPIO: 4CH (with pull-up resistance on PCB)

KC868-A8v3 PCB layout CAD file

  KC868_A8v3.1.zip (Size: 1.57 MB / Downloads: 9)

Hello,
I have also noticed another issue with the KinCony N30 when using the current direction detection.
My N30 has three rows/modules, and all of my current clamps are installed and wired in exactly the same physical direction.
However, when I enable the current direction detection, I get inconsistent results:

• Module 1: current direction is detected correctly and the power values are positive.
  
• Module 2: the power values are negative.
  
• Module 3: the power values are also negative.
  

Hello,
I noticed an issue with the MQTT Discovery configuration generated by the N30 when the device is integrated into Home Assistant.
For example, Home Assistant creates the following entity:

Current sensor does not detect current direction
Hello,
I have a question regarding the current/power sensor on my KinCony device.
The circuit is connected to a 1100 W pump, with approximately 1000 W peak solar PV production.
I expected the sensor to detect the direction of the current and therefore show negative power when the solar panels are producing energy and sending it back through the circuit.
In the attached screenshot:

• Green area: nighttime. The pump is running and consuming approximately 1100 W. This is normal.
  
• Red area: daytime. The solar panels are producing around 400 W, with no consumption from the pump. However, the sensor still reports the power as positive instead of negative.
  

Hi everyone,

I’m exploring how AI automation could work alongside Loxone for smarter home and building automation. Loxone already handles many rule-based tasks well, but I’m interested in where AI could add value without making the system unnecessarily complicated.

For example, AI could potentially analyze sensor data, learn usage patterns, optimize heating or lighting schedules, detect unusual energy consumption, or help automate certain routines based on changing conditions.

I recently came across Codeora Vision while looking into AI automation solutions, which got me thinking about how AI-based systems could complement existing automation platforms rather than replace them.

Has anyone here experimented with connecting AI services or machine-learning workflows with Loxone? I’d be particularly interested in practical approaches for integrating AI with Loxone Miniserver data, APIs, MQTT, or other compatible methods.

What AI automation use cases have you found genuinely useful in a smart home or building environment?

- Without connecting the SHT30 temperature and humidity sensor, the LCD screen displays readings normally.
   
- After connecting the SHT30 temperature and humidity sensor, the LCD screen displays distorted readings.
   
- I tried setting the SHT30 address (I2C) to 0x44, but the address resets the next time the controller is polled.
- I also connected the RS485 JTH-2D1 temperature and humidity sensor to the RS485 port. Its address is: Temperature – 768; Humidity – 769
   
       
- I also connected an analog soil moisture sensor to analog input A1, using an external 3.3V power supply.
   
When the sensor is dry, the reading is 752.
   
When the sensor is submerged, the reading is 757.
   
When testing these sensors in an Arduino UNO R3, the readings are different.
   
How do I configure them in the KinCony ESP32-S3 Tuya relay board – F16 (16A removable relay)?

From what I've read (and based on most other power monitoring systems) it's important to get the direction of the sensor correct. So, should it look like A or B?

Although the B4 and B4M devices allow connection of a 24Vdc supply it is not clear to me that the 4-20 mA analog inputs allow use of a 24 volt loop supply. The example drawings show 12 volt supply devices connected and I am concerned that I may damage the inputs by using a 24vdc loop. Please advise what is acceptable.

I'm in Texas, US with a normal 200a panel. 
If I wanted to monitor 40 branch circuit can you explain how and what to use for voltage reference? Is it one per each 10? or is it like iotawatt that you use just one per the whole unit.