diff --git a/config.py b/config.py
index 7685ea9..4b5f9b0 100644
--- a/config.py
+++ b/config.py
@@ -34,6 +34,7 @@ class Config:
     # mask parameter
     target_size = (1024, 1024)  # (Width, Height) of mask
     valve_merge_size = 2  # 每两个喷阀当中有任意一个出现杂质则认为都是杂质
+    max_open_valve_limit = 49  # 最大同时开启喷阀限制,按照电流计算，当前的喷阀可以开启的喷阀 600W的电源 / 12V电源 = 50A, 一个阀门1A
 
     # save part
     offset_vertical = 0
diff --git a/main.py b/main.py
index aabfd67..65c5fea 100755
--- a/main.py
+++ b/main.py
@@ -27,7 +27,7 @@ def main(only_spec=False, only_color=False):
         os.mkfifo(mask_fifo_path, 0o777)
     if not os.access(rgb_mask_fifo_path, os.F_OK):
         os.mkfifo(rgb_mask_fifo_path, 0o777)
-
+    logging.info(f"请注意!正在以调试模式运行程序，输出的信息可能较多。")
     while True:
         fd_img = os.open(img_fifo_path, os.O_RDONLY)
         fd_rgb = os.open(rgb_fifo_path, os.O_RDONLY)
@@ -35,9 +35,13 @@ def main(only_spec=False, only_color=False):
         # spec data read
         data = os.read(fd_img, total_len)
         if len(data) < 3:
-            threshold = int(float(data))
-            Config.spec_size_threshold = threshold
-            logging.info('[INFO] Get spec threshold: ', threshold)
+            try:
+                threshold = int(float(data))
+                Config.spec_size_threshold = threshold
+                logging.info('[INFO] Get spec threshold: ', threshold)
+            except Exception as e:
+                logging.error(f'毁灭性错误:收到长度小于3却无法转化为整数spec_size_threshold的网络报文，报文内容为 {data},'
+                              f' 错误为 {e}.')
         else:
             data_total = data
         os.close(fd_img)
@@ -49,7 +53,8 @@ def main(only_spec=False, only_color=False):
                 Config.rgb_size_threshold = rgb_threshold
                 logging.info(f'Get rgb threshold: {rgb_threshold}')
             except Exception as e:
-                logging.error(f'毁灭性错误:收到长度小于3却无法转化为整数的数据，{e}.')
+                logging.error(f'毁灭性错误:收到长度小于3却无法转化为整数spec_size_threshold的网络报文，报文内容为 {total_rgb},'
+                              f' 错误为 {e}.')
             continue
         else:
             rgb_data_total = rgb_data
@@ -78,8 +83,10 @@ def main(only_spec=False, only_color=False):
         else:
             mask_spec = spec_detector.predict(img_data).astype(np.uint8)
             mask_rgb = rgb_detector.predict(rgb_data).astype(np.uint8)
-        # 进行喷阀的合并
+        # 进行多个喷阀的合并
         masks = [utils.valve_expend(mask) for mask in [mask_spec, mask_rgb]]
+        # 进行喷阀同时开启限制
+
         # control the size of the output masks, 在resize前，图像的宽度是和喷阀对应的
         masks = [cv2.resize(mask.astype(np.uint8), Config.target_size) for mask in masks]
         # 写出
@@ -109,12 +116,9 @@ if __name__ == '__main__':
     rgb_mask_fifo_path = '/tmp/dkmask_rgb.fifo'
     # logging相关
     file_handler = logging.FileHandler(os.path.join(Config.root_dir, '.tobacco_algorithm.log'))
-    file_handler.setLevel(logging.WARNING)
+    file_handler.setLevel(logging.DEBUG if args.d else logging.WARNING)
     console_handler = logging.StreamHandler(sys.stdout)
-    if args.d:
-        console_handler.setLevel(logging.DEBUG)
-    else:
-        console_handler.setLevel(logging.WARNING)
+    console_handler.setLevel(logging.WARNING)
     logging.basicConfig(format='%(asctime)s - %(levelname)s - %(message)s',
-                        handlers=[file_handler, console_handler])
+                        handlers=[file_handler, console_handler], level=logging.DEBUG)
     main(only_spec=args.os, only_color=args.oc)
diff --git a/main_test.py b/main_test.py
index b244d92..0990385 100644
--- a/main_test.py
+++ b/main_test.py
@@ -60,6 +60,7 @@ class TestMain:
                     data = f.read()
                 spec_img = transmit.BeforeAfterMethods.spec_data_post_process(data)
                 if convert:
+                    # TODO: 完善这个文件转换功能
                     spec_img_show = np.asarray(np.clip(spec_img[..., [21, 3, 0]] * 255, a_min=0, a_max=255),
                                                dtype=np.uint8)
                     cv2.imwrite(rgb_file_name + '.bmp', spec_img_show[..., ::-1])
diff --git a/tests/test_utils.py b/tests/test_utils.py
new file mode 100644
index 0000000..a2743a9
--- /dev/null
+++ b/tests/test_utils.py
@@ -0,0 +1,18 @@
+import unittest
+
+import numpy as np
+
+from utils import valve_limit
+
+
+class UtilTestCase(unittest.TestCase):
+    mask_test = np.zeros((1024, 1024), dtype=np.uint8)
+    mask_test[0:20, :] = 1
+
+    def test_valve_limit(self):
+        mask_result = valve_limit(self.mask_test, max_valve_num=49)
+        self.assertTrue(np.all(np.sum(mask_result, 1) <= 49))  # add assertion here
+
+
+if __name__ == '__main__':
+    unittest.main()
diff --git a/utils.py b/utils.py
index 805a757..9e6c4ea 100755
--- a/utils.py
+++ b/utils.py
@@ -4,16 +4,23 @@
 # @File: utils.py
 # @Software:PyCharm
 import glob
+import logging
 import os
 from queue import Queue
 
 import cv2
 import numpy as np
+from numpy.random import default_rng
 from matplotlib import pyplot as plt
 import re
 
 
 def natural_sort(l):
+    """
+    自然排序
+    :param l: 待排序
+    :return:
+    """
     convert = lambda text: int(text) if text.isdigit() else text.lower()
     alphanum_key = lambda key: [convert(c) for c in re.split('([0-9]+)', key)]
     return sorted(l, key=alphanum_key)
@@ -166,6 +173,32 @@ def valve_expend(img: np.ndarray) -> np.ndarray:
     return img
 
 
+def valve_limit(mask: np.ndarray, max_valve_num: int) -> np.ndarray:
+    """
+    用于限制阀门同时开启个数的函数
+    :param mask: 阀门开启mask,0,1格式，每个1对应一个阀门
+    :param max_valve_num: 最大阀门数量
+    :return:
+    """
+    assert (max_valve_num >= 5) and (max_valve_num < 50)
+    row_valve_count = np.sum(mask, axis=1)
+    if np.any(row_valve_count > max_valve_num):
+        over_rows_idx = np.argwhere(row_valve_count > max_valve_num).ravel()
+        logging.warning(f'发现单行喷阀数量{len(over_rows_idx)}超过限制，已限制到最大许可值{max_valve_num}')
+        over_rows = mask[over_rows_idx, :]
+
+        # a simple function to get lucky valves when too many valves appear in the same line
+        def process_row(each_row):
+            valve_idx = np.argwhere(each_row > 0).ravel()
+            lucky_valve_idx = default_rng().choice(valve_idx, max_valve_num)
+            new_row = np.zeros_like(each_row)
+            new_row[lucky_valve_idx] = 1
+            return new_row
+        limited_rows = np.apply_along_axis(process_row, 1, over_rows)
+        mask[over_rows_idx] = limited_rows
+    return mask
+
+
 def read_envi_ascii(file_name, save_xy=False, hdr_file_name=None):
     """
     Read envi ascii file. Use ENVI ROI Tool -> File -> output ROIs to ASCII...