Linux系统下基于CPU核心温度的PWM温控散热风扇 - 『瀚思彼岸』» 智能家居技术论坛

apt install sensors

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apt install php

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<?php
// 执行 sensors 命令
exec('sensors', $output, $return_var);
if ($return_var === 0) {
$temperatures = []; // 存储温度数据的关联数组
// 遍历输出数组，查找 Package id 0 和 Core 温度值
foreach ($output as $line) {
if (preg_match('/(Package id 0|Core \d+):\s+\+(\d+\.\d+)°C/', $line, $matches)) {
$sensor_name = $matches[1];
$temperature = (float) $matches[2];
$temperatures[$sensor_name] = $temperature;
}
}
// 找出最高温度
$maxTemperature = max($temperatures);
// 输出JSON格式的温度数据
echo json_encode([
'temperatures' => $temperatures,
'max_temperature' => $maxTemperature
]);
} else {
echo json_encode(['error' => '执行 sensors 命令失败']);
}

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[Unit]
Description=Temp Server
After=network.target
[Service]
Type=simple
ExecStart=/usr/bin/php -S 0.0.0.0:8000 /root/temp.php
Restart=always
[Install]
WantedBy=multi-user.target

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systemctl daemon-reload
systemctl start temp-server

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substitutions:
device_name: "fan_pwm_01"
friendly_name: "Fan Pwm 01"
esphome:
name: "${device_name}"
friendly_name: "${friendly_name}"
on_boot:
then:
- delay: 2s
- fan.turn_off:
id: ${device_name}_fan
- delay: 2s
- fan.turn_on:
id: ${device_name}_fan
speed: "100"
- delay: 2s
- fan.turn_on:
id: ${device_name}_fan
speed: "1"
esp8266:
board: esp8285
# Enable logging
logger:
# Enable Home Assistant API
api:
encryption:
key: "xxxxxxxxxxx"
ota:
password: "xxxxxxxxxxxxxx"
wifi:
ssid: !secret wifi_ssid
password: !secret wifi_password
# Enable fallback hotspot (captive portal) in case wifi connection fails
ap:
ssid: "Fan-Pwm-01 Fallback Hotspot"
password: ""
captive_portal:
fan:
- platform: speed
id: "${device_name}_fan"
output: pwm_output
speed_count: 100
name: "${device_name} 开关"
output:
- platform: esp8266_pwm
pin: GPIO04
frequency: 35000 Hz # 频率如果太低，我的风扇会吱吱响
id: pwm_output
button:
- platform: restart
name: "${device_name} 重启"
sensor:
- platform: wifi_signal
name: "WiFi Signal"
id: "sensor_wifi_signal"
force_update: True
update_interval: 5s
- platform: template
id: ${device_name}_sensor_fanspeed
icon: "mdi:fan"
name: "风扇速度"
lambda: |-
return id(${device_name}_fan).speed;
accuracy_decimals: 0
unit_of_measurement: "%"
update_interval: 1s
- platform: pulse_counter
id: sensor_pulse_counter
pin:
number: GPIO13
inverted: true
mode:
input: true
pullup: true
name: ${friendly_name} 风扇转速
unit_of_measurement: 'RPM'
filters:
- multiply: 0.5
- lambda: |-
if (x <= 5000) return x;
else return {};
count_mode:
rising_edge: INCREMENT
falling_edge: DISABLE
update_interval: 2s
text_sensor:
- platform: template
name: "温度"
id: text_temp
update_interval: 2s
# 测试用的
- platform: template
name: "期望速度"
id: text_expected_speed
internal: True
update_interval: 2s
http_request:
id: http_request_data
timeout: 10s
interval:
- interval: 1s
then:
- http_request.get:
url: "http://192.168.3.11:8000/"
verify_ssl: false
on_response:
then:
- lambda: |-
if( status_code == 200 ){
json::parse_json(id(http_request_data).get_string(), [](JsonObject root) {
float temp;
int speed;
temp = root["max_temperature"];
if(temp>=50){
speed = (temp - 50)/20*100;
}else{
speed = 1;
}
id(text_expected_speed).publish_state(to_string(speed) + "%");
id(text_temp).publish_state(to_string(temp));
auto call = id(${device_name}_fan).make_call();
call.set_speed(speed);
call.perform();
});
}else{
auto call = id(${device_name}_fan).make_call();
call.set_speed(50);
call.perform();
id(text_expected_speed).publish_state("temperature api error");
id(text_temp).publish_state("temperature api error");
}

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