mi-task/tmp/interdemo3.py

#!/usr/bin/env python3
import rclpy
from rclpy.node import Node
from protocol.msg import HeadTofPayload, SingleTofPayload
from std_msgs.msg import Header
import time
from enum import Enum
import numpy as np
from utils.speech_demo import speak
# TOF传感器位置枚举 (与协议一致)
class TofPosition(Enum):
    LEFT_HEAD = 0
    RIGHT_HEAD = 1
    LEFT_REAR = 2
    RIGHT_REAR = 3
    HEAD = 4
    REAR = 5

# 机器状态枚举
class RobotState(Enum):
    PREPARING_LOADING = 1    # 准备配货状态
    TRANSPORTING = 2         # 运输中状态
    PREPARING_UNLOADING = 3  # 准备卸货状态

class AdvancedTofInteractive(Node):
    def __init__(self):
        super().__init__('advanced_tof_interactive')
        self.get_logger().info("高级TOF交互节点启动")
        
        # 机器狗当前状态 (初始为准备配货状态)
        self.current_state = RobotState.PREPARING_LOADING
        
        # TOF检测参数
        self.touch_threshold = 0.15  # 触摸检测阈值(米)
        self.touch_percentage = 0.2  # 有效触摸点比例
        self.cooldown_time = 2.0  # 触摸事件冷却时间(秒)
        self.last_detection_time = 0.0
        self.min_valid_distance = 0  # 最小有效距离(150mm)
        self.max_valid_distance = 1  # 最大有效距离(660mm)
        
        # 触摸模式检测参数
        self.touch_history = {"left": False, "right": False}
        self.touch_duration_threshold = 1  # 持续触摸时间阈值(秒)
        self.touch_start_time = {"left": 0.0, "right": 0.0}
        
        # 创建TOF数据订阅器
        self.head_tof_sub = self.create_subscription(
            HeadTofPayload,
            '/custom_namespace/head_tof_payload',
            self.head_tof_callback,
            10
        )
        
        # 创建状态提示发布器
        self.state_pub = self.create_publisher(
            SingleTofPayload,  # 使用TOF消息作为载体
            '/custom_namespace/interactive_state',
            10
        )
        
        # 状态提示消息
        self.state_messages = {
            RobotState.PREPARING_LOADING: "准备配货：请同时触摸头部两侧完成配货",
            RobotState.PREPARING_UNLOADING: "准备卸货：请同时触摸头部两侧完成卸货",
            RobotState.TRANSPORTING: "运输中：请勿触摸"
        }

    def process_tof_data(self, tof_data):
        """
        处理单个TOF传感器的8x8数据矩阵
        返回:
            valid_matrix: 有效数据点矩阵 (True/False)
            mean_distance: 平均距离
            touch_detected: 是否检测到触摸
        """
        # 转换为numpy数组
        data_array = np.array(tof_data.data).reshape(8, 8)
        
        # 创建有效数据掩码
        valid_mask = (data_array > self.min_valid_distance) & (data_array < self.max_valid_distance)
        
        # 计算有效点的平均距离
        if np.any(valid_mask):
            mean_distance = np.mean(data_array[valid_mask])
        else:
            mean_distance = self.max_valid_distance
        
        # 检测触摸
        touch_mask = (data_array < self.touch_threshold) & valid_mask
        touch_points = np.sum(touch_mask)
        touch_detected = (touch_points / valid_mask.size) >= self.touch_percentage
        
        return valid_mask, mean_distance, touch_detected

    def head_tof_callback(self, msg):
        """处理头部TOF数据回调"""
        current_time = time.time()
        
        # 检查冷却时间
        if current_time - self.last_detection_time < self.cooldown_time:
            return
        
        # 处理左侧TOF数据
        left_valid, left_mean, left_touch = self.process_tof_data(msg.left_head)
        
        # 处理右侧TOF数据
        right_valid, right_mean, right_touch = self.process_tof_data(msg.right_head)
        
        # 更新触摸历史
        self.update_touch_history('left', left_touch, current_time)
        self.update_touch_history('right', right_touch, current_time)
        
        # 检测同时触摸事件
        if self.touch_history['left'] and self.touch_history['right']:
            self.get_logger().info(f"检测到同时触摸: 左={left_mean:.3f}m, 右={right_mean:.3f}m")
            self.last_detection_time = current_time
            self.handle_interaction()

    def update_touch_history(self, side, current_touch, current_time):
        """更新触摸历史状态"""
        if current_touch:
            if not self.touch_history[side]:
                # 触摸开始
                self.touch_start_time[side] = current_time
                self.touch_history[side] = True
        else:
            # 检测触摸持续时间是否达到阈值
            if self.touch_history[side]:
                duration = current_time - self.touch_start_time[side]
                if duration < self.touch_duration_threshold:
                    self.get_logger().debug(f"{side}触摸时间不足: {duration:.2f}s")
                self.touch_history[side] = False

    def handle_interaction(self):
        speak("触摸")
        self.get_logger().info("handleinteraction")
        """处理交互事件"""
        # 创建状态消息
        state_msg = SingleTofPayload()
        state_msg.header.stamp = self.get_clock().now().to_msg()
        state_msg.data_available = True
        
        if self.current_state == RobotState.PREPARING_LOADING:
            self.get_logger().info("✅ 配货完成！开始运输...")
            state_msg.tof_position = TofPosition.HEAD.value
            state_msg.data = [1.0]  # 表示配货完成
            self.current_state = RobotState.TRANSPORTING
            
        elif self.current_state == RobotState.PREPARING_UNLOADING:
            self.get_logger().info("✅ 卸货完成！准备新的配货...")
            state_msg.tof_position = TofPosition.HEAD.value
            state_msg.data = [2.0]  # 表示卸货完成
            self.current_state = RobotState.PREPARING_LOADING
            
        else:
            self.get_logger().info("⚠️ 当前状态不接收触摸指令")
            state_msg.data_available = False
        
        # 发布状态消息
        self.state_pub.publish(state_msg)
        self.play_audio_feedback()

    def play_audio_feedback(self):
        self.get_logger().info("feedback")
        """播放音频反馈"""
        # 实际实现需调用机器狗音频接口
        # 示例：self.audio_publisher.publish(audio_msg)
        self.get_logger().info("播放操作确认音效")

    def publish_state_info(self):
        """定期发布状态信息"""
        state_msg = SingleTofPayload()
        state_msg.header.stamp = self.get_clock().now().to_msg()
        state_msg.tof_position = TofPosition.HEAD.value
        state_msg.data_available = True
        
        if self.current_state in self.state_messages:
            state_str = self.state_messages[self.current_state]
            self.get_logger().info(state_str)
            # 将状态消息编码到data字段
            state_msg.data = [float(self.current_state.value)]
        else:
            state_msg.data_available = False
        
        self.state_pub.publish(state_msg)

def main(args=None):
    rclpy.init(args=args)
    node = AdvancedTofInteractive()
    
    try:
        # 定期发布状态信息
        timer = node.create_timer(3.0, node.publish_state_info)
        rclpy.spin(node)
    except KeyboardInterrupt:
        pass
    finally:
        node.destroy_node()
        rclpy.shutdown()

if __name__ == '__main__':
    main()