物联网AI代理框架

from langgraph.graph import StateGraph

# Define IoT workflow
workflow = StateGraph()
workflow.add_node("read_sensors", read_iot_sensors)
workflow.add_node("analyze", analyze_with_ai)
workflow.add_node("act", control_actuators)
workflow.compile()

from crewai import Agent, Task, Crew

sensor_agent = Agent(
    role="Sensor Monitor",
    goal="Monitor IoT sensors",
    backstory="Expert in real-time data"
)

crew = Crew(agents=[sensor_agent], tasks=[task])
result = crew.kickoff()

import paho.mqtt.client as mqtt
import json

client = mqtt.Client()
client.connect("broker.emqx.io", 1883)

data = {"temperature": 25.5, "device": "sensor-001"}
client.publish("iot/sensors/temp", json.dumps(data), qos=1)

def on_message(client, userdata, msg):
    data = json.loads(msg.payload)
    print(f"Temperature: {data['temperature']}°C")

client = mqtt.Client()
client.on_message = on_message
client.connect("broker.emqx.io", 1883)
client.subscribe("iot/sensors/#")
client.loop_forever()

import paho.mqtt.client as mqtt
import json, time, random

client = mqtt.Client()
client.connect("broker.emqx.io", 1883)

while True:
    data = {
        "device": "sensor-001",
        "temperature": 20 + random.uniform(-5, 10),
        "timestamp": time.time()
    }
    client.publish("iot/sensors/temp", json.dumps(data), qos=1)
    time.sleep(5)

import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import mqtt from "mqtt";

const server = new Server({ name: "iot-mcp", version: "1.0.0" });
const mqttClient = mqtt.connect("mqtt://broker.emqx.io");

server.tool("read_sensor", "Read sensor",
  { device_id: { type: "string" } },
  async ({ device_id }) => {
    // MQTT sensor read logic
  }
);

import tflite_runtime.interpreter as tflite
import numpy as np

interpreter = tflite.Interpreter(model_path="model.tflite")
interpreter.allocate_tensors()

input_data = np.array([[temperature, humidity]], dtype=np.float32)
interpreter.set_tensor(input_details[0]['index'], input_data)
interpreter.invoke()

output = interpreter.get_tensor(output_details[0]['index'])