251108问题修复

COM/COM_Robot.py

@@ -101,10 +101,10 @@ class RobotClient(TCPClient):
                         log.log_message(logging.ERROR,Constant.str_tcp_robot_data_error)
             return True
         except json.JSONDecodeError as e:
-            log.log_message(logging.WARNING,Constant.str_sys_json_error+response)
+            log.log_message(logging.WARNING,Constant.str_sys_json_error+request_status_json)
             return True
         except Exception as e:
-            log.log_message(logging.ERROR,f'{e}{response}')
+            log.log_message(logging.ERROR,f'{e}{request_status_json}')
             raise
 
     def send_emergency_sound(self):

COM/COM_TCP.py

@@ -45,7 +45,7 @@ class TCPClient:
                 self.error_count += 1
             if self.error_count> 5:
                 print("Error: 机械臂控制程序中TCPClient is not connected")
-                log.log_message(logging.ERROR,f'{Constant.str_tcp_connect_no_reply}:{str(e)}')
+                # log.log_message(logging.ERROR,f'{Constant.str_tcp_connect_no_reply}:{str(e)}')
                 try:
                     self.CreatConnect()
                     log.log_message(logging.INFO, Constant.str_tcp_reconnect)

CU/Feeding.py

@@ -1,6 +1,8 @@
 import copy
 from dis import stack_effect
 import logging
+import math
+from pickle import FALSE
 import random
 import threading
 import time
@@ -30,6 +32,8 @@ from Model.RobotModel import Instruction
 from EMV.EMV import RelayController
 from CU.drop import DropPositionManager
 from Mv3D.CameraUtil import CameraUtil
+from Mv3D.calculate_diff2 import calculate_offset_from_image
+
 class ResetStatus(Enum):
     RNone = 0
     RStart = 1
@@ -204,7 +208,7 @@ class FeedLine:
                     f"✅ FDropBag 位置已更新: ({position.X}, {position.Y}, {position.Z}, {position.U}, {position.V}, {position.W})")
                 break  # 假设只有一个丢包点
 
-    def get_drop_path(self) -> list:
+    def get_drop_path(self,offsetX) -> list:
         """获取动态扔包路径"""
 
         if self.drop_manager is None:
@@ -218,8 +222,11 @@ class FeedLine:
                 self.id,
                 self.current_index
             )
+            
             if pos_model is None:
                 break
+            if pos_model.status==FeedStatus.FDropBag.value:
+                pos_model=self.get_offset_position(pos_model,self.current_index,offsetX)
             path.append(pos_model)
         return path
 
@@ -245,20 +252,50 @@ class FeedLine:
         self.start_to_take = self.feed_positions[index_start:index_take+1]
         self.feeding_to_end = self.feed_positions[index_take:]
 
-    def set_feeding_to_end(self):
-       
+    def set_feeding_to_end(self,offsetX)->bool:
+        """
+        设置动态扔包路径
+        :param image_path: 偏移量图像路径
+        """
         for i in range(len(self.feed_positions)):
             if self.feed_positions[i].status == FeedStatus.FPhoto.value:
                 index_take = i
                 break
         index_drop=self.current_dropbag_index
-        test_path = self.get_drop_path()
+        test_path = self.get_drop_path(offsetX)
         self.current_index+=1
           # 将总list的drop部分，替换为动态路径
         self.feed_positions = self.feed_positions[:index_drop] + test_path
         # self.feeding_to_end = self.feed_positions[index_take:index_drop]
         self.feeding_to_end = self.feed_positions[index_take:index_drop]+test_path
     
+       # 计算偏移量
+  
+    def get_offset_position(self,point,_current_index,offsetX):
+        """
+        获取偏移后的坐标。
+        """    
+        _current_index=_current_index-1
+        if _current_index<0:
+           _current_index=0
+        loc_floor=(_current_index//5)+1
+        loc_bag=(_current_index%5)+1
+        if loc_floor in [1,3,5]:
+            if loc_bag in [1,2,3]:
+                point.X=round(point.X-offsetX, 3)
+            elif loc_bag==4:
+                point.Y=round(point.Y-offsetX, 3)
+            elif loc_bag==5:
+                point.Y=round(point.Y+offsetX, 3)
+        elif loc_floor in [2,4,6]:
+            if loc_bag in [1,2,3]:
+                point.X=round(point.X+offsetX, 3)
+            elif loc_bag==4:
+                point.Y=round(point.Y-offsetX, 3)
+            elif loc_bag==5:
+                point.Y=round(point.Y+offsetX, 3)
+        return point
+               
  
 class FeedingConfig:
     def __init__(self, num: int, feedLine: FeedLine, photo_locs,remain_count:int):
@@ -286,6 +323,8 @@ class Feeding(QObject):
     log_signal = Signal(int,str)
     #码垛完成通知
     stack_finish_signal=Signal()
+    #误差过大，通知用户
+    feed_error_signal=Signal(int,str)
 
     def __init__(self, robotClient: RobotClient,relay_controller:RelayController):
         super().__init__()
@@ -353,6 +392,8 @@ class Feeding(QObject):
         """接收机器人信号通知"""
         self.take_sensor_signal = True
 
+
+
     def run(self):
         self.catch.run()
         # 获取事件坐标
@@ -501,13 +542,41 @@ class Feeding(QObject):
                             return
                         time.sleep(1)  # 每秒检查一次
                
+                loc_offsetX=0
+                loc_is_next=False
                 #第二次执行FeedStatus.FPhoto时，改变码垛点
-                self.camera_img.save_img()
-                self.feedConfig.feedLine.set_feeding_to_end()
-                # self.take_photo_sigal.emit()
+                try:
+                    loc_image_path=self.camera_img.save_img()
+                    loc_model_result = calculate_offset_from_image(loc_image_path, visualize=False)
+                    if loc_model_result['success']:
+                        #置信度
+                        if loc_model_result['obj_conf']>0.5:
+                            loc_offsetX=loc_model_result['dx_mm']
+                            if abs(loc_model_result['dx_mm'])<200:
+                                loc_is_next=True   
+                                print(f'{loc_image_path}:料带偏移{loc_offsetX}mm')                           
+                            else:
+                                print(f"{loc_image_path}:料带偏移过大，报警")
+                                self.feed_error_signal.emit(1,f"{loc_image_path}:料带偏移过大，报警")
+                        else:
+                            print(f"{loc_image_path}:未检测到料带,置信度低")
+                            self.feed_error_signal.emit(2,f"{loc_image_path}:未检测到料带,置信度低")
+                    else:
+                        print(f"{loc_image_path}:计算偏移失败，视觉返回False")
+                        self.feed_error_signal.emit(2,f"{loc_image_path}:计算偏移失败，视觉返回False")
+                        # loc_is_next=False
+                        loc_offsetX=0
+                except Exception as e:
+                    print(f"视频模型异常：{loc_image_path}",e)
+                    # loc_is_next=False
+                    loc_offsetX=0
+                    self.feed_error_signal.emit(2,"视频模型异常")
+                    self.log_signal.emit(logging.ERROR, f"视频模型异常：{e}")
+                finally:
+                    if loc_is_next:
+                            self.feedConfig.feedLine.set_feeding_to_end(loc_offsetX)
                             self.next_position()
                             self.log_signal.emit(logging.INFO, Constant.str_sys_runing2)
-                # self.feedStatus = FeedStatus.FTake
 
         elif self.feedStatus == FeedStatus.FTake:
             self.log_signal.emit(logging.INFO, Constant.str_feed_take)

Constant.py

@@ -53,6 +53,7 @@ str_feed_drop_mid = '移动到码垛中间点位置'
 str_feed_drop_reset = '移动到码垛复位位置'
 str_feed_broken = '移动到破袋位置'
 str_feed_takePhoto_fail = '识别图像失败'
+str_image_model_fail = '摄像头识别料带失败'
 str_feed_takePhoto_success = '识别图像成功'
 str_feed_takePhoto_new_line = '新的一排袋识别'
 str_feed_takePhoto_line = '一排袋最高的识别'

EMV/EMV.py

@@ -14,6 +14,8 @@ import Constant
 class RelayController(QObject):
     log_signal = Signal(int, str)
     take_robot_signal = Signal()
+    emergency_signal = Signal(bool)
+
     def __init__(self, host='192.168.0.18', port=50000):
         super().__init__()
         # ===================== 全局线程延时参数 =====================
@@ -32,6 +34,8 @@ class RelayController(QObject):
         self.delay_clamp = 0.5  # 夹爪动作延时
         self.delay_after_pusher = 5.0  # 推板推出后到重启传动带时间
 
+        self.emergency_is_pressed=False
+
         # ===================== 传感器稳定检测参数 =====================
         self.sensor_stable_duration = 1.0  # 传感器状态稳定检测时间（秒）
         self.sensor_max_attempts = 3  # 连续检测次数达到此值判定有效
@@ -49,8 +53,11 @@ class RelayController(QObject):
         self.PUSHER1 = 'pusher1'
         self.SENSOR1 = 'sensor1'
         self.SENSOR2 = 'sensor2'
+        self.BELT = 'belt'
+        self.ALARM = 'alarm'
 
         self.valve_commands = {
+            #包装机皮带
             self.CONVEYOR1: {'open': '000000000006010500070000', 'close': '00000000000601050007FF00'},
             # self.CONVEYOR11: {'open': '00000000000601050000FF00', 'close': '000000000006010500000000'},
             self.PUSHER: {'open': '00000000000601050001FF00', 'close': '000000000006010500010000'},
@@ -60,6 +67,10 @@ class RelayController(QObject):
             self.CLAMP: {'open': '00000000000601050003FF00', 'close': '000000000006010500030000'},
             #DO5 回 DO2推
             self.PUSHER1: {'open': '00000000000601050004FF00', 'close': '000000000006010500040000'},
+            #D07 长皮带
+            self.BELT: {'open': '00000000000601050006FF00', 'close': '000000000006010500060000'},
+            #D01 声控报警
+            self.ALARM: {'open': '00000000000601050000FF00', 'close': '000000000006010500000000'},
             #滚筒反转
             self.CONVEYOR2_REVERSE: {'open': '000100000006020620000022', 'close': '000100000006020620000001'}
         }
@@ -77,7 +88,9 @@ class RelayController(QObject):
             self.CONVEYOR2: 2,
             self.CLAMP: 3,
             self.PUSHER1: 4,
-            self.CONVEYOR2_REVERSE: 5
+            self.CONVEYOR2_REVERSE: 5,
+            self.BELT: 6,
+            self.ALARM: 7,
         }
 
         self.sensor_bit_map = {
@@ -91,7 +104,9 @@ class RelayController(QObject):
             self.CONVEYOR2: "传送带2",
             self.CLAMP: "机械臂夹爪",
             self.PUSHER1: "推板关",
-            self.CONVEYOR2_REVERSE: "传送带2反转"
+            self.CONVEYOR2_REVERSE: "传送带2反转",
+            self.BELT: "皮带",
+            self.ALARM: "声控报警",
         }
 
         self.sensor_name_map = {
@@ -105,8 +120,8 @@ class RelayController(QObject):
         self._sensor1_thread = None
         self._sensor2_thread = None
 
-        self.required_codes = {'0101', '0103'}  # 有效状态码（传感器1）
-        self.required_codes_1 = {'0102', '0103'}  # 有效状态码（传感器2）
+        self.required_codes = {'0101', '0103','0105','0107'}  # 有效状态码（传感器1）
+        self.required_codes_1 = {'0102', '0103','0106','0107'}  # 有效状态码（传感器2）
 
         self.sensor1_triggered = False
         self.sensor1_last_time = 0
@@ -117,7 +132,7 @@ class RelayController(QObject):
     # ===================== 基础通信方法 =====================
     def send_command(self, command_hex, retry_count=2, source='unknown'):
         if Constant.DebugPosition:
-            # print(f"[发送命令] {command_hex} ({source})")
+            print(f"[发送命令] {command_hex} ({source})")
             return None
         byte_data = binascii.unhexlify(command_hex)
         for attempt in range(retry_count):
@@ -136,12 +151,14 @@ class RelayController(QObject):
                         #print(f"[通信响应] {hex_response}")
                     return response
             except Exception as e:
+                self.log_signal.emit(logging.INFO,f"网络继电器通信错误 ({source}): {e}, 尝试重连... ({attempt + 1}/{retry_count})")
                 print(f"网络继电器通信错误 ({source}): {e}, 尝试重连... ({attempt + 1}/{retry_count})")
                 time.sleep(5)
         self.trigger_alarm()
         return None
 
     def trigger_alarm(self):
+        self.log_signal.emit(logging.ERROR,"警告：网络继电器连续多次通信失败，请检查设备连接！")
         print("警告：网络继电器连续多次通信失败，请检查设备连接！")
 
     # ===================== 状态读取方法 =====================
@@ -199,6 +216,25 @@ class RelayController(QObject):
             print(f"[{command_type}] 无法获取响应数据")
         return responses
 
+    def get_emergency_is_pressed(self)->bool:
+        "获取急停信号，DI 3 位为1，正常，DI 3为0时为按下急停状态，00000000000401020107 后四位01表示一个字节，最后一位（07）二进制对应开关量"
+        "按下急停为"
+        command = self.read_status_command.get("sensors")
+        response = self.send_command(command)
+        loc_is_pressed=False
+        if response and len(response) >= 10:
+            status_byte = response[9]
+            #简单验证
+            status_crc=response[8]
+            loc_is_pressed =status_crc==1 and (status_byte & 0b100) == 0  # 0b100 表示第三位为1
+        else:
+            self.log_signal.emit(logging.ERROR,f"网络继电器[急停] 读取状态失败或响应无效")
+            print(f"网络继电器[急停] 读取状态失败或响应无效")
+                
+        return loc_is_pressed
+        
+
+
     def parse_status_code(self, response):
         """
         从 Modbus 响应字符串中提取状态码（后两位）
@@ -268,8 +304,67 @@ class RelayController(QObject):
             time.sleep(self.sensor2_loop_lost)
         return False
 
+    def is_valid_sensor(self,sensor_name):
+        """
+        检查传感器状态是否有效
+        参数:
+            sensor_name: 传感器名称
+        返回:
+            True: 传感器状态有效
+            False: 传感器状态无效
+        """
+        stable_count = 0
+        _try_nums=5  # 尝试次数
+        for _ in range(_try_nums):
+            responses = self.get_all_sensor_responses('sensors')
+            response = responses.get(sensor_name)
+
+            if not response:
+                print(f"[警告] 无法获取 {sensor_name} 的响应，尝试重试...")
+                return False
+            else:
+                temp_status_code = self.parse_status_code(response)
+                if temp_status_code in self.required_codes_1:
+                    stable_count += 1
+                    if stable_count >= 3:
+                        return True
+                else:
+                   stable_count = 0
+            time.sleep(self.sensor2_loop_lost)
+        return False
+
+    def is_valid_sensor_signal_stable(self, sensor_name, detection_duration=3.0, stability_duration=2.5, check_interval=0.1):
+        """
+        检测在指定时间窗口内是否存在持续稳定的有效信号      
+        参数:
+            sensor_name: 传感器名称
+            detection_duration: 总检测时间窗口(秒)，默认为3秒
+            stability_duration: 信号需要持续稳定的时间(秒)，默认为2.5秒
+            check_interval: 检测间隔(秒)，默认为0.1秒
+        
+        返回:
+            True: 在时间窗口内检测到持续稳定的有效信号
+            False: 未检测到持续稳定的有效信号
+        """
+        stable_start_time = None  # 记录首次检测到有效信号的时间
+        start_time = time.time()
+        if not self.is_valid_sensor(sensor_name):
+            return False   # 传感器状态无效,返回
+        else:
+            stable_start_time = time.time()  # 首次检测到有效信号
+            time.sleep(check_interval)
+       
+        while time.time() - start_time < detection_duration:
+            temp_is_valid = self.is_valid_sensor(sensor_name)
+            if temp_is_valid:
+                if time.time() - stable_start_time >= stability_duration:
+                    return True  # 信号持续稳定达到要求时间
+            else:
+                    stable_start_time = None  # 信号不稳定，重置计时           
+            time.sleep(check_interval)      
+        return False
     # ===================== 动作控制方法 =====================
-    def open(self, conveyor1=False, pusher=False, conveyor2=False, clamp=False, pusher1=False, conveyor2_reverse=False):
+    def open(self, conveyor1=False, pusher=False, conveyor2=False, clamp=False, pusher1=False, conveyor2_reverse=False,belt=False,alarm=False):
         if Constant.DebugPosition:
             return
         status = self.get_all_device_status()
@@ -291,8 +386,14 @@ class RelayController(QObject):
         if conveyor2_reverse:
             self.send_command(self.valve_commands[self.CONVEYOR2_REVERSE]['open'])
             time.sleep(self.delay_conveyor)
+        if belt and not status.get(self.BELT, False):
+            self.send_command(self.valve_commands[self.BELT]['open'])
+            # time.sleep(self.delay_belt)
+        if alarm and not status.get(self.ALARM, False):
+            self.send_command(self.valve_commands[self.ALARM]['open'])
+            # time.sleep(self.delay_alarm)
 
-    def close(self, conveyor1=False, pusher=False, conveyor2=False, clamp=False, pusher1=False, conveyor2_reverse=False):
+    def close(self, conveyor1=False, pusher=False, conveyor2=False, clamp=False, pusher1=False, conveyor2_reverse=False,belt=False,alarm=False):
         if conveyor1:
             self.send_command(self.valve_commands[self.CONVEYOR1]['close'])
             time.sleep(self.delay_conveyor)
@@ -311,6 +412,12 @@ class RelayController(QObject):
         if conveyor2_reverse:
             self.send_command(self.valve_commands[self.CONVEYOR2_REVERSE]['close'])
             time.sleep(self.delay_conveyor)
+        if belt:
+            self.send_command(self.valve_commands[self.BELT]['close'])
+            # time.sleep(self.delay_belt)
+        if alarm:
+            self.send_command(self.valve_commands[self.ALARM]['close'])
+            # time.sleep(self.delay_alarm)
 
     # ===================== 传感器处理线程 =====================
     def handle_sensor1(self):
@@ -346,16 +453,17 @@ class RelayController(QObject):
                                        
                         time.sleep(1)
                         # 5. 状态检查（可选）
-                        status = self.get_all_device_status()
-                        if status.get('conveyor1') and not status.get('pusher'):
-                            print("流程完成1：皮带运行中，推板已收回")
-                        else:
-                            print("状态异常，请检查设备")
+                        # status = self.get_all_device_status()
+                        # if status.get('conveyor1') and not status.get('pusher'):
+                        #     print("流程完成1：皮带运行中，推板已收回")
+                        # else:
+                        #     print("状态异常，请检查设备")
                         # 流程结束，重置触发标志
                         self.sensor1_triggered = False
                 time.sleep(self.sensor1_loop_delay)
             except Exception as e:
                 print(f"SENSOR1 处理错误: {e}")
+                self.log_signal.emit(logging.ERROR,f"SENSOR1 处理错误: {e}")
                 self.sensor1_triggered = False
                 time.sleep(self.sensor1_error_delay)
 
@@ -391,6 +499,8 @@ class RelayController(QObject):
                         _is_signal=False
                         self.sensor2_ready=False   #打开滚洞标识
                     else:
+                        if self.sensor2_ready: 
+                            #只有在FPhoto处才有效
                             _is_signal=True  
                     # time.sleep(0.1)
                     continue
@@ -404,6 +514,7 @@ class RelayController(QObject):
                 time.sleep(2)
             except Exception as e:
                 print(f"SENSOR2 处理错误: {e}")
+                self.log_signal.emit(logging.ERROR,f"SENSOR2 处理错误: {e}")
                 time.sleep(self.sensor2_error_delay)
     
     def pause_start_sensor(self,is_pause):
@@ -413,6 +524,7 @@ class RelayController(QObject):
         """
         self._ispause = is_pause
 
+
     def stop_sensor(self,sensor1_thread,sensor2_thread):
         if not self._running:
             print("线程未在运行")
@@ -424,3 +536,22 @@ class RelayController(QObject):
         if sensor2_thread and sensor2_thread.is_alive():
             sensor2_thread.join()
         print("传感器线程已终止。")
+
+    def handle_emergency_pressed(self):
+        "处理急停按钮信号状态线程"
+        while self._running:
+            try:
+                loc_is_pressed =self.get_emergency_is_pressed()
+                if loc_is_pressed:
+                    # 处理急停按钮信号状态
+                    self.log_signal.emit(logging.INFO,f"急停按钮被按下")
+                    self.emergency_is_pressed=True
+                    self.emergency_signal.emit(True)
+                else:
+                    self.emergency_is_pressed=False
+                    self.emergency_signal.emit(False)
+                time.sleep(0.5)
+            except Exception as e:
+                print(f"急停 处理错误: {e}")
+                self.log_signal.emit(logging.ERROR,f"急停线程 处理错误: {e}")
+                time.sleep(2)

Mv3D/CameraUtil.py

@@ -3,6 +3,7 @@ import cv2
 import os
 import time
 from datetime import datetime
+from typing import Optional
 import numpy as np
 import shutil  # 用于检查磁盘空间
 
@@ -159,17 +160,18 @@ class CameraUtil:
             print(f"保存图像失败: {e}")
             return None
     
-    def save_img(self):
+    def save_img(self)->Optional[str]:
         """
         保存当前帧
-        :return: None
+        :return: 保存的文件路径
         """
         if self.camera is None:
             self.setup_capture()
         frame = self.capture_frame()
         if frame is not None:
-            self.save_frame(frame)
+            loc_filepath=self.save_frame(frame)
             self.release()
+            return loc_filepath
         else:
             print("无法捕获图像帧")
             return None

Mv3D/calculate_diff2.py

@@ -0,0 +1,237 @@
+import cv2
+import numpy as np
+import os
+
+# ====================== 配置区 ======================
+
+MODEL_PATH = "./Mv3D/point.rknn"
+OUTPUT_DIR = "./output_rknn"
+os.makedirs(OUTPUT_DIR, exist_ok=True)
+
+# 固定参考点（像素坐标）
+FIXED_REF_POINT = (535, 605)
+
+# mm/px 缩放因子（根据标定数据填写）
+width_mm = 70.0
+width_px = 42
+SCALE_X = width_mm / float(width_px)
+height_mm = 890.0
+height_px = 507
+SCALE_Y = height_mm / float(height_px)
+print(f"Scale factors: SCALE_X={SCALE_X:.3f} mm/px, SCALE_Y={SCALE_Y:.3f} mm/px")
+
+# 输入尺寸
+IMG_SIZE = (640, 640)
+
+
+def letterbox_resize(image, size, bg_color=114):
+    target_w, target_h = size
+    h, w = image.shape[:2]
+    scale = min(target_w / w, target_h / h)
+    new_w, new_h = int(w * scale), int(h * scale)
+    resized = cv2.resize(image, (new_w, new_h))
+    canvas = np.full((target_h, target_w, 3), bg_color, dtype=np.uint8)
+    dx, dy = (target_w - new_w) // 2, (target_h - new_h) // 2
+    canvas[dy:dy + new_h, dx:dx + new_w] = resized
+    return canvas, scale, dx, dy
+
+
+def safe_sigmoid(x):
+    x = np.clip(x, -50, 50)
+    return 1.0 / (1.0 + np.exp(-x))
+
+
+def softmax(x):
+    x = x - np.max(x)
+    e = np.exp(x)
+    return e / e.sum()
+
+
+def dfl_to_xywh(loc, grid_x, grid_y, stride):
+    """将 DFL 输出解析为 xywh"""
+    xywh_ = np.zeros(4)
+    xywh = np.zeros(4)
+
+    # 每个维度 16 bins 做 softmax
+    for i in range(4):
+        l = loc[i * 16:(i + 1) * 16]
+        l = softmax(l)
+        xywh_[i] = sum([j * l[j] for j in range(16)])
+
+    # 对应公式
+    xywh_[0] = (grid_x + 0.5) - xywh_[0]
+    xywh_[1] = (grid_y + 0.5) - xywh_[1]
+    xywh_[2] = (grid_x + 0.5) + xywh_[2]
+    xywh_[3] = (grid_y + 0.5) + xywh_[3]
+
+    # 转成中心点 + 宽高
+    xywh[0] = ((xywh_[0] + xywh_[2]) / 2) * stride
+    xywh[1] = ((xywh_[1] + xywh_[3]) / 2) * stride
+    xywh[2] = (xywh_[2] - xywh_[0]) * stride
+    xywh[3] = (xywh_[3] - xywh_[1]) * stride
+
+    # 转为左上角坐标
+    xywh[0] = xywh[0] - xywh[2] / 2
+    xywh[1] = xywh[1] - xywh[3] / 2
+    return xywh
+
+
+def parse_pose_outputs(outputs, conf_threshold=0.5, dx=0, dy=0, scale=1.0):
+    """
+    完整解析 RKNN YOLO-Pose 输出
+    返回 keypoints, class_id, obj_conf, bbox（已映射回原图）
+    """
+    boxes = []
+    obj_confs = []
+    class_ids = []
+
+    # 遍历前三个输出 tensor (det 输出)
+    for idx in range(3):
+        det = np.array(outputs[idx])[0]  # (C,H,W)
+        C, H, W = det.shape
+        num_classes = C - 64  # 前64通道为 DFL bbox
+        stride = 640 // H
+
+        for h in range(H):
+            for w in range(W):
+                for c in range(num_classes):
+                    conf = safe_sigmoid(det[64 + c, h, w])
+                    if conf >= conf_threshold:
+                        loc = det[:64, h, w].astype(np.float32)
+                        xywh = dfl_to_xywh(loc, w, h, stride)
+                        boxes.append(xywh)
+                        obj_confs.append(conf)
+                        class_ids.append(c)
+
+    if not obj_confs:
+        best_box = np.array([0, 0, 0, 0])
+        class_id = -1
+        obj_conf = 0.0
+    else:
+        max_idx = np.argmax(obj_confs)
+        best_box = boxes[max_idx]
+        class_id = class_ids[max_idx]
+        obj_conf = obj_confs[max_idx]
+
+    # 🔹 bbox 坐标映射回原图
+    x, y, w, h = best_box
+    x = (x - dx) / scale
+    y = (y - dy) / scale
+    w = w / scale
+    h = h / scale
+    best_box = np.array([x, y, w, h])
+
+    # 🔹 关键点解析
+    kpt_output = np.array(outputs[3])[0]  # (num_kpts, 3, num_anchor)
+    confs = kpt_output[:, 2, :]
+    best_anchor_idx = np.argmax(np.mean(confs, axis=0))
+    kpt_data = kpt_output[:, :, best_anchor_idx]
+
+    keypoints = []
+    for i in range(kpt_data.shape[0]):
+        x_img, y_img, vis_conf_raw = kpt_data[i]
+        vis_prob = safe_sigmoid(vis_conf_raw)
+        x_orig = (x_img - dx) / scale
+        y_orig = (y_img - dy) / scale
+        keypoints.append([x_orig, y_orig, vis_prob])
+
+    return np.array(keypoints), class_id, obj_conf, best_box
+
+
+def compute_offset(keypoints, fixed_point, scale_x, scale_y):
+    if len(keypoints) < 2:
+        return None
+    p1, p2 = keypoints[0], keypoints[1]
+    cx = (p1[0] + p2[0]) / 2.0
+    cy = (p1[1] + p2[1]) / 2.0
+    dx_mm = (cx - fixed_point[0]) * scale_x
+    dy_mm = (cy - fixed_point[1]) * scale_y
+    return cx, cy, dx_mm, dy_mm
+
+
+def visualize_result(image, keypoints, bbox, fixed_point, offset_info, save_path):
+    vis = image.copy()
+    colors = [(0, 0, 255), (0, 255, 255)]
+    cx, cy, dx_mm, dy_mm = offset_info
+    fx, fy = map(int, fixed_point)
+
+    # 绘制关键点
+    for i, (x, y, conf) in enumerate(keypoints[:2]):
+        if conf > 0.5:
+            cv2.circle(vis, (int(x), int(y)), 6, colors[i], -1)
+    if len(keypoints) >= 2:
+        cv2.line(vis,
+                 (int(keypoints[0][0]), int(keypoints[0][1])),
+                 (int(keypoints[1][0]), int(keypoints[1][1])),
+                 (0, 255, 0), 2)
+
+    # 绘制 bbox
+    x, y, w, h = bbox
+    cv2.rectangle(vis, (int(x), int(y)), (int(x + w), int(y + h)), (255, 0, 0), 2)
+
+    # 绘制中心点
+    cv2.circle(vis, (int(cx), int(cy)), 10, (0, 255, 0), 3)
+    cv2.circle(vis, (fx, fy), 12, (255, 255, 0), 3)
+    cv2.arrowedLine(vis, (fx, fy), (int(cx), int(cy)), (255, 255, 0), 2, tipLength=0.05)
+    cv2.putText(vis, f"DeltaX={dx_mm:+.1f}mm", (fx + 30, fy - 30),
+                cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 255, 255), 2)
+    cv2.putText(vis, f"DeltaY={dy_mm:+.1f}mm", (fx + 30, fy + 30),
+                cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 255, 255), 2)
+
+    cv2.imwrite(save_path, vis)
+
+
+def calculate_offset_from_image(image_path, visualize=False):
+    from rknnlite.api import RKNNLite
+    
+    orig = cv2.imread(image_path)
+    if orig is None:
+        return {'success': False, 'message': f'Failed to load image: {image_path}'}
+
+    img_resized, scale, dx, dy = letterbox_resize(orig, IMG_SIZE)
+    infer_img = np.expand_dims(img_resized[..., ::-1], 0).astype(np.uint8)
+
+    rknn = RKNNLite(verbose=False)
+    ret = rknn.load_rknn(MODEL_PATH)
+    if ret != 0:
+        return {'success': False, 'message': 'Failed to load RKNN model'}
+
+    try:
+        rknn.init_runtime(core_mask=RKNNLite.NPU_CORE_0)
+        outputs = rknn.inference([infer_img])
+    finally:
+        rknn.release()
+
+    try:
+        keypoints, class_id, obj_conf, bbox = parse_pose_outputs(outputs, dx=dx, dy=dy, scale=scale)
+    except Exception as e:
+        return {'success': False, 'message': f'Parse error: {str(e)}'}
+
+    offset_info = compute_offset(keypoints, FIXED_REF_POINT, SCALE_X, SCALE_Y)
+    if offset_info is None:
+        return {'success': False, 'message': 'Not enough keypoints'}
+
+    cx, cy, dx_mm, dy_mm = offset_info
+
+    if visualize:
+        vis_save_path = os.path.join(OUTPUT_DIR, f"result_{os.path.basename(image_path)}")
+        visualize_result(orig, keypoints, bbox, FIXED_REF_POINT, offset_info, vis_save_path)
+
+    return {'success': True, 'dx_mm': dx_mm, 'dy_mm': dy_mm,
+            'cx': cx, 'cy': cy, 'class_id': class_id,
+            'obj_conf': obj_conf, 'bbox': bbox,
+            'message': 'Success'}
+
+
+# ====================== 使用示例 ======================
+if __name__ == "__main__":
+    image_path = "11.jpg"
+    result = calculate_offset_from_image(image_path, visualize=True)
+
+    if result['success']:
+        print(f"Center point: ({result['cx']:.1f}, {result['cy']:.1f})")
+        print(f"Offset: DeltaX={result['dx_mm']:+.2f} mm, DeltaY={result['dy_mm']:+.2f} mm")
+        print(f"Class ID: {result['class_id']}, Confidence: {result['obj_conf']:.3f}")
+        print(f"BBox: {result['bbox']}")
+    else:
+        print("Error:", result['message'])

Seting.ini

@@ -47,7 +47,7 @@ photo_v5 = 0.0
 photo_w5 = 1.0
 linecount = 2
 remain_linename = 1
-remain_count = 10
+remain_count = 0
 maduo_count = 30
 io_take_addr = 8
 io_zip_addr = 11

Util/util_log.py

@@ -55,6 +55,15 @@ class Logger(QObject):
         handler.setFormatter(formatter)
         self.logger_file_info.addHandler(handler)
 
+          # 添加错误专用日志文件
+        error_handler = TimedRotatingFileHandler(
+            file_path.replace('.log', '_error.log'), 
+            when='D', interval=1, backupCount=30, encoding='utf-8')
+        error_handler.suffix = "%Y-%m-%d"
+        error_handler.setLevel(logging.ERROR)  # 只处理错误级别
+        error_handler.setFormatter(formatter)
+        self.logger_file_info.addHandler(error_handler)
+
     def _process_logs(self):
         while True:
             time.sleep(0.1)

main.py

@@ -61,8 +61,11 @@ class MainWindow(QMainWindow, Ui_MainWindow):
         self.drop_position_manager = DropPositionManager()
         self.sensor_thread = None
         self.sensor2_thread  = None
+        self.emergency_thread = None
         self.last_status_printed = None
         self.last_pause_printed = None
+        #判断是否按下急停按钮
+        self.is_emergency_pressed = False
         self.cur_pushbutton_num = None
         self.pushbutton_num_style = """
         QPushButton { background-color: #101F3F;color:#ffffff }
@@ -751,6 +754,9 @@ class MainWindow(QMainWindow, Ui_MainWindow):
         # self.camera_img.update_camera_image.connect(self.updateUI_label_detection)
         self.feeding.log_signal.connect(self.log_message)
         self.feeding.stack_finish_signal.connect(self.stack_finish)
+        self.relay_controller.log_signal.connect(self.log_message)
+        self.relay_controller.emergency_signal.connect(self.emergency_press_notify)
+        self.feeding.feed_error_signal.connect(self.feed_error_notify)
         # self.camera_img=CameraImg(self.feeding)
         # self.camera_img.update_camera_image.connect(self.updateUI_label_detection)
         
@@ -941,6 +947,13 @@ class MainWindow(QMainWindow, Ui_MainWindow):
 
     def start_Runing(self):
         #多线程启动
+        self.emergency_thread = Thread(
+                            target=self.relay_controller.handle_emergency_pressed,
+                            name="emergency",
+                            daemon=True
+                        )
+        self.emergency_thread.start()
+
         self.main_threading = Thread(target=self.run,name="feeding")#主循环
         self.robot_connect_threading = Thread(target=self.robotClient.run,name="robot_connect")
         # self.main_UI_threading = Thread(target=self.updateUI,name="updateUI")
@@ -1005,6 +1018,10 @@ class MainWindow(QMainWindow, Ui_MainWindow):
             return
 
     def send_startFeed_button_click(self):
+        if self.is_emergency_pressed:
+            self.show_infomessage_box("急停按钮已按下，不能启动，请先松开急停按钮")
+            return
+
         if self.feeding.feedStatus != FeedStatus.FNone:
             self.show_infomessage_box("正在执行")
             return
@@ -1372,7 +1389,7 @@ class MainWindow(QMainWindow, Ui_MainWindow):
         self.feeding.feedStatus = FeedStatus.FNone
         self.feeding.reset_status = ResetStatus.RNone
         self.relay_controller.pause_start_sensor(True)
-        self.feeding.pause = True  #暂停，停止滚去等
+        self.feeding.pause = True  #暂停
         stop_command = CMDRequest()
         stop_command.cmdData.append("actionStop")
         stop_command.cmdData.append("1")
@@ -1384,12 +1401,17 @@ class MainWindow(QMainWindow, Ui_MainWindow):
         log.log_message(logging.INFO, Constant.str_sys_emergencyStop)
   
     def send_emergency_alarm_command(self):
+        if self.is_emergency_pressed:
+            self.show_infomessage_box("急停按钮已按下，不能停止，请先松开急停按钮")
+            return
         """停止当前工作，需要启动"""
         msg_box_person = QMessageBox()
         msg_box_person.setIcon(QMessageBox.Icon.Question)
         msg_box_person.setText("您确定要停止当前工作吗？")
         msg_box_person.setWindowTitle("提示")
-
+        font = msg_box_person.font()
+        font.setPointSize(20)
+        msg_box_person.setFont(font)
         msg_box_person.addButton("确定", PySide6.QtWidgets.QMessageBox.ButtonRole.AcceptRole)
         cancel_button = msg_box_person.addButton("取消", PySide6.QtWidgets.QMessageBox.ButtonRole.RejectRole)
         msg_box_person.exec()
@@ -1401,6 +1423,16 @@ class MainWindow(QMainWindow, Ui_MainWindow):
 
 
     def send_pauseFeed_button_click(self):
+        if self.is_emergency_pressed:
+            self.show_infomessage_box("急停按钮已按下，不能暂停，请先松开急停按钮")
+            return
+        if self.feeding.feedStatus == FeedStatus.FNone:
+            self.show_infomessage_box("当前没有运行中的工作，不能暂停")
+            return
+        self.send_pauseFeed_click()
+        pass
+    
+    def send_pauseFeed_click(self):
         if self.pushButton_pauseFeed.text() == '暂停':
             self.relay_controller.pause_start_sensor(True)
             icon9 = QIcon(QIcon.fromTheme(QIcon.ThemeIcon.SystemReboot))
@@ -1423,8 +1455,6 @@ class MainWindow(QMainWindow, Ui_MainWindow):
             log.log_message(logging.INFO, Constant.str_sys_start_tool)
             self.feeding.pause = False
 
-        pass
-    
 
     def send_tabWidget_control_change(self):
         if self.robotClient.status_model.curMode != 7:
@@ -1635,6 +1665,9 @@ class MainWindow(QMainWindow, Ui_MainWindow):
         else:
             self.set_run_status_button(False)
        
+        if self.is_emergency_pressed: 
+            self.stackedWidget_num.setCurrentIndex(1) 
+        else: 
             if self.feeding.feedStatus == FeedStatus.FNone:
                 self.stackedWidget_num.setCurrentIndex(0)
             else:
@@ -1675,16 +1708,53 @@ class MainWindow(QMainWindow, Ui_MainWindow):
         # self.send_pause_command(True)
         # self.feeding.pause = True
         # self.relay_controller.pause_start_sensor(True)
+        self.stop_all_work()
         msg_box_finish = QMessageBox()
         msg_box_finish.setIcon(QMessageBox.Icon.Warning)
         msg_box_finish.setText("码垛完成,请移走拖板")
         msg_box_finish.setWindowTitle("提示")
         msg_box_finish.addButton("确定", QMessageBox.AcceptRole)
         loc_font=QFont("Microsoft YaHei UI",20)
-        msg_box_finish.setFont(font)
+        msg_box_finish.setFont(loc_font)
         result=msg_box_finish.exec()
         self.label_remain_num.setText(str(self.feeding.feedConfig.remain_count))
-        self.stop_all_work()
+     
+    def feed_error_notify(self,error_code,error_msg):
+        """
+          feeding 报警处理,打开声控
+        """
+
+        self.relay_controller.open(alarm=True)
+        self.send_pauseFeed_click()
+        msg_box_finish = QMessageBox()
+        msg_box_finish.setIcon(QMessageBox.Icon.Warning)
+        msg_box_finish.setText(error_msg)
+        msg_box_finish.setWindowTitle("提示")
+        msg_box_finish.addButton("确定", QMessageBox.AcceptRole)
+        loc_font=QFont("Microsoft YaHei UI",20)
+        msg_box_finish.setFont(loc_font)
+        result=msg_box_finish.exec()
+        if error_code==1:
+            msg_box_finish.setText("是否打开滚筒让料带滚出？")
+            msg_box_finish.addButton("取消", QMessageBox.RejectRole)
+            result=msg_box_finish.exec()
+            if result == QMessageBox.AcceptRole:
+                self.relay_controller.open(conveyor2=True)
+
+    def emergency_press_notify(self,emergency_pressed):
+        """
+          急停按钮按下
+        """
+        if emergency_pressed:
+            if not self.is_emergency_pressed:
+                self.send_pauseFeed_click()
+                self.is_emergency_pressed = True
+                self.label_button_status.setText("急停中，禁止操作")
+        else:
+            if self.is_emergency_pressed:
+                self.label_button_status.setText("已暂停，可操作工控机")
+
+                self.is_emergency_pressed = False
        
     
     def updateUI_IOPanel(self):
@@ -1921,12 +1991,13 @@ class MainWindow(QMainWindow, Ui_MainWindow):
         self.robotClient.add_sendQuene(request_command)
 
     def send_clear_alarm_command(self, pause: bool):
-        self.send_clear_auto_command()
-        pause_command = CMDRequest()
-        pause_command.cmdData.append("StopButton")
-        pause_command.cmdData.append("1")
-        request_command = pause_command.toString()
-        self.robotClient.add_sendQuene(request_command)
+        self.relay_controller.close(alarm=True)
+        # self.send_clear_auto_command()
+        # pause_command = CMDRequest()
+        # pause_command.cmdData.append("StopButton")
+        # pause_command.cmdData.append("1")
+        # request_command = pause_command.toString()
+        # self.robotClient.add_sendQuene(request_command)
 
     def send_switch_tool_command(self):
         switch_command = CMDRequest()
@@ -2201,6 +2272,9 @@ class MainWindow(QMainWindow, Ui_MainWindow):
         msg_box.setText(message)
         msg_box.setIcon(QMessageBox.Icon.Information)
         msg_box.setStandardButtons(QMessageBox.StandardButton.Ok)
+        font = msg_box.font()
+        font.setPointSize(20)
+        msg_box.setFont(font)
         msg_box.show()
     def send_click_change_stackView(self,index):
         self.stackedWidget_view.setCurrentIndex(index)
@@ -2303,7 +2377,9 @@ def handle_exception(exc_type, exc_value, exc_tb):
 if __name__ == "__main__":
     app = MyApplication(sys.argv)
     window = MainWindow()
-    window.show()
+    # window.show()
+    # window.showFullScreen()
+    window.showMaximized()
     sys.excepthook = handle_exception
     try :
         sys.exit(app.exec())

test6.py

@@ -0,0 +1,37 @@
+import os
+import sys
+import time
+from Mv3D.CameraUtil import CameraUtil
+from Mv3D.calculate_diff2 import calculate_offset_from_image
+
+if __name__=='__main__':
+
+   camera_img=CameraUtil()
+   loc_image_path=camera_img.save_img()
+   print(f"保存图片路径:{loc_image_path}")
+   try:
+      loc_model_result = calculate_offset_from_image(loc_image_path, visualize=False)
+      if loc_model_result['success']:
+            #置信度
+            if loc_model_result['obj_conf']>0.5:
+                loc_offsetX=loc_model_result['dx_mm']
+                if abs(loc_model_result['dx_mm'])<200:
+                    loc_is_next=True   
+                    print(f'{loc_image_path}:料带偏移{loc_offsetX}mm')                           
+                else:
+                    print(f"{loc_image_path}:料带偏移过大，报警")
+                    # self.feed_error_signal.emit(1,f"{loc_image_path}:料带偏移过大，报警")
+            else:
+                print(f"{loc_image_path}:未检测到料带,置信度低")
+                # self.feed_error_signal.emit(2,f"{loc_image_path}:未检测到料带,置信度低")
+      else:
+            print(f"{loc_image_path}:计算偏移失败，视觉返回False")
+            # self.feed_error_signal.emit(2,f"{loc_image_path}:计算偏移失败，视觉返回False")
+            # loc_is_next=False
+            loc_offsetX=0
+   except Exception as e:
+      print(f"{loc_image_path}:计算偏移失败:{e}")
+   
+   time.sleep(10)
+
+