UCOSIII临界代码保护
为了保护一些代码完成运行，不被打断。这些不能被打断的代码称为临界段代码，也叫临界区。
使用宏 OS_CRITICAL_ENTER()进入临界区代码；使用宏 OS_CRITICAL_EXIT()和
OS_CRITICAL_EXIT_NO_SCHED()退出临界区代码。
在 UCOSIII 中可以通过关闭中断和任务调度器上锁两种方式来保护临界段代码。
OS_CFG_ISR_POST_DEFERRED_EN 为 0，使用关中断的方式进入临界区；
OS_CFG_ISR_POST_DEFERRED_EN 为 1，使用锁定调度器方式进入临界区。
OS_CFG_ISR_POST_DEFERRED_EN 在 os_cfg.h 文件中定义。
UCOSIII 通过上锁方式
UCOSII 没有这个方式
熊仔 发表于 2023-8-25 11:36
这个问题是能解决，我在19#有说到：需要保存IE入栈，出来的时候判断是否开中断
中断处理和任务切换的时候就 ...
（1）好的，加油！相信你会成功的。
（2）这是一个我写的能通过临界区保护嵌套测试的范例程序，供你观察对比效果。作为老师，肯定是我自己通过了，然后才会出题给学生的：
（3）这是范例运行的视频效果。嵌套效果就是前面我给出的正确的那张图一：
（4）程序压缩包解开后的目录如下：
其中“0000_长缨x51”子目录下是“长缨8_V33.exe”C351编译器，我写的。
“0012_TSx51_RTOS”子目录下是“泰山x51 实时多任务操作系统（TSx51-RTOS） V1.1”，我写的。
（5）在测试程序目录下有以下文件：
其中采用Keil作为IDE。当程序编辑完成并保存后，双击“长缨x51_MakeFile.bat”这个MakeFile批处理文件，就可以对编译出HEX烧录文件了。
杨为民 发表于 2023-8-25 12:21
（1）好的，加油！相信你会成功的。
（2）这是一个我写的能通过临界区保护嵌套测试的范例程序，供你观察 ...
好的，谢谢，晚上研究下。
熊仔 发表于 2023-8-25 12:18
UCOSIII临界代码保护
为了保护一些代码完成运行，不被打断。这些不能被打断的代码称为临界段代码，也叫临 ...
（1）开始解决问题的时候，先看看别人和别的事是怎么解决问题的，这是正道！
（2）“UCOSII 没有这个方式”，所以才是一般人和你的天花板呀，所以才需要突破呀
（3）希望你能把你解决问题的过程和想法不断地发布出来，让大家一起分享这个解决问题的过程。这比你闷着头干几天后只拿出一个最终成功的成果来要有意义。就像课堂上回答问题，受益的是全体听课的同学。
跟着我们 两位 【荣誉版主：杨老师，熊仔】 一起前进 ！
突然想到一个方法，学习中断嵌套的做法，增加一个变量。
进入临界区++。退出--。到0的时候才开启中断
晚上试试。先忙活
本帖最后由 杨为民 于 2023-8-25 17:50 编辑
熊仔 发表于 2023-8-25 16:27
突然想到一个方法，学习中断嵌套的做法，增加一个变量。
进入临界区++。退出--。到0的时候才开启中断
（1）终于开窍了，不再坚持原汁原味移植了？
（2）这个方法在“操作系统原理”中是一种普遍的方法，叫做“加锁/解锁”。
（3）所以为什么要设工程硕士研究生，就是要先学这些理论课程，学完后一身武艺，然后下山再行江湖。
（4）虽说加锁解锁的原理都一样，但实现起来各有不同，尤其是针对不同的CPU指令集可以不同。相信你能做成，期待你做出自己的特色
（5）补充一点，uC/OS-II的方法3已经用在RTT中做临界区嵌套保护方法，作为其特色了。而加锁解锁方法是FreeRTOS的标准的临界区嵌套保护方法，只是STC移植版只采用了最简单的不支持临界区保护嵌套的简单的关闭和打开EA的方法1。所以多看才知山外有山，遇事才有解决的方法
今天比较忙，挺晚才开始弄。终于弄好了临界区保护方法4
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
下面是了逻辑分析仪的波形图
data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABiAAAANdCAIAAACS+SNiAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAgAElEQVR4nOzde3SV530n+r0lbV3YG3QBIUBcZLDBAV+AOMY2tWM7sR07iZsVO4lzaZNm0pM1PZ3pTGdOp7Oa1bSdZM1MTifruGmnZ2rnYvcky7GdpI2TOnFqx45jk/juCUZcAhEIAbKAYIMIoNv5Qx1VI5AQr9B+ngd/Pn+hrVfv/vLsZ79bfNH+Kb9w4aIcAAAAAGRVVc476+vrO378+NDQ0GQOzufzNTU1hUJhulMBAAAAMBUV5byzybdLuVxuaGjo+PHj05oHAAAAgKkr608wTb5dynY8jCgWi8uXLz/vvPMaGuo3bnzlmWeeCZ2IJC1evHj9+qvq6xtyudz+/fs3bNjQ1dUVOhTpWb58+VvectmsWfVDQ0M2ElO0fv1VF1988aFDr913332hs5Ck66677k1vunD4zwMDgy+++KJvk8hm7do1F1988YwZxc2bN//whz8MHYf0XH755WvWrKms/Oefemlvt5fSVtaCCaZPqVRqbW09evRoZ2dnLpd729vedsstN8+fP79UKt13332+c2KSxmyk97znPTfeeOPu3buLxRkNDQ3FYvGee+4JnZEEjNlIt9323quvvrqzs3PGjBkNDY0NDfV33/3F0BlJQEtLS2NjQ0/P/gMHDgzf0tbW9sEPfnD16tU7d+5UMDFJYzbSDTe8ff369c8999xrr702MDBQW1sbOiBpGLORrrjiit/4jY8sWbJkz549e/fuDZ2OZIzeSLW1tXPmzK6srMzlcitWrFi4cOG9996rYEqagolzxIUXXnjHHXd0dHT85V/+ZS6X6+vre/HFl2bOnNnQ0DDmyKVLl15//fVNTU2Dg4O7du167LHH9u/fHyIyMRq9kZqbm88///xDh37593//d6tWrbr11ltXrVo5cuQll1x89dVXF4ul/v7+bdu2fv/7j5w4cSJgcqIy5orU3f3qo48++uSTP77hhhtuuunGtrbzRo60kZjA9ddfv27d5Y888sg//MPDw7e8+93vuuCCC07+CW8biQmM2UjFYunIkSPf//7329s3Dw0NvfbaayNH3nTTTatWraqqqjp6tPenP33m2WefDZea6IzeSNXV1e9973tXrFjx6KOPPfzww7t37x59pI3EBEZvpBdffHHHjh35fH7p0qXLly9/9dVXf/zjH48caSOlKGjB9PkbDn2gbfQNrz39wJL3HQqUhrTNmTNn9epLq6v/aSr8008//fTTT69atXLhwoVjjrz11nffcMMNGze+0tTUdNlll73++uvf+973yp6XSI3eSMeOHbv33nvz+VxHx84rr7xyYGCwq2vPyJHve9/7165d8+yzz11wwfkXX3zR7t1dL774YrjgxGXMFemhhx5avXr1DTfccNFFq/bv3z/6mycbiQm0tbWtWbPmlVdeGf5w/fr1b33rW3fu3Hn++eePOdJGYgJjNtLMmTNrampuvvnmyy9ft2vXrocffvjw4cO5XO6iiy760Ic+VFtbs2nTpiuvvKKlZd7LL7+sqWTE6I104YUrVqxYPjg4uGjRwne/+91dXV0PPfRQT09PzkbidEZvpMOHDw9ff66//vp58+Y98cQT27fvGD7MRkpU0ILpnid+++mnchde/Of/8pJD3/nqZ36QO7bnaMg8pGnp0qW333778uXLq6trli1b9tnPfmb79h1f+tKXxju+VJpZKpVmz5596NAvX3755fb29nKmJVoTbKQPfOADa9as6ej4xbe+9a2R4+vr62fMKM6ZM3vv3r0/+9nGPXv2jH9u3kDG20g7d+5csWL50aNHGxubFi5sHTneRuKU3v72t11zzTWrVq2qrKy87rrrFi1a9MILL1x77bWDg4NPP71h6dKlY463kTilkzfSj370o/b29t7eI3v37luzZvW6dZcfPnx4+NWttra2vr6+UCiUSjPb29sfe+yxgYGB0H8DonDyRnr99cN1dTMGBwcOHjy4cuWbrrzyiqNHjw6/b9dGYjynvCL94z8+Onfu3CuvvOLYsWNPPvlkf3//8ME2UqLK+lvkxnr5xAMPHn2g+0QulzvWe/SBB48+9HTIOCSqoiJfKpUGBweGhgb7+vpmzZo1Y0bdBMd/7Wtf/e53v1soVC1btuzSSy9pa2srV1KiNt5GuuOOOz7wgQ8cOHDgL/7iC7t27Ro5/otf/OITTzzR0NCwbNmytWvXzp3bHC47ETl5I82aNeviiy+uq6u7776vP/bYD6urC295y1tGjreROKVCoXrmzFnD/1Xb19c3c+astWvfvHLlysbGxre97fqampqWlpZPfvKTI8fbSJzSyRupoaGxvb39kUd+cO+9977wwouzZtUvW7Zs+OAtW7bcc889P//5zxcvXrRixYrLLrvMP+cYdvJGqqysGBoafP311++6667nn3++VCqNTI63kRjPyRupUKjO5XLXXHPN0qVLt27d+vzzL4wcbCMlKmjBBGfD7t1dd91112OP/bC/v3/v3n3/7b99/sEHvzHB8bfffvvKlSufe+653bt3X3DBBSMvh7zBnXIj/fqv3/r+979vaGjw8cefqKmpWbVq1fDBixcvvv322xYvXvToo48dPnxk5co3nXfe2B8o4I3p5I30wx/+8GMf++jv/u7/+fa3v23RokWVlZW9vb3DB9tIjGfDhg133nnntm3bBgcHX3zxpTvvvPP73//+Aw88+I1vfHPLli39/f1HjvSODD2xkRjPyRtpx44dN954w7ve9c4rr7xywYL5+Xzu+PHjwwevW7fuHe+4aXBw4NFHHysWi2vXrpk7d27Y/ETi5I304IPf6OnpKRaLq1evbmlpGRoaOnTon+ac2EiM5+SNtGHDhpqamquvvjqfz2/YsGH47XLDbKREGfJN8o4dO9bZ2dnV1dXV1bVnT1dHR8fEx3d1da1bt+66666rqanZuXPXM88YF0cuN85Guvnmm+fOnXviRN873/nOW265ubOz89/9u3+fy+V6enr27du3evXqm29+x8yZM7du3fbcc88F/gsQh5M3Uk1Nzc9+tvG229774Q9/uLKycufOnffff//wwTYS4zl06NChQ4f27Nmze/furq6ujo6OvXv3bty4MZ/PX3PNNddee+3Ro72PP/748ME2EuM5eSN1d3dv2bLllltu+djHPlZTU71x4yvf/va3hw/evHnzkSO9K1asaG1dODg4NPxr5sLmJxInb6SKiooHHnjwIx/58Mc//vGamppXXtn0zW/+0xgBG4nxnLyRcrncLbfcsmLF8s7Ozkce+cHog22kROUXLlxUtjsbXUn+s99es/NPLtv39bvW/f4pPjlz5szpTsW5oVgsNjU1nThxoru7e+TGhQsX1tXVHTx4cOQXPOdyuVmzZjU1NVVXF4aGcseOHevu7jYujhFjNlJb25Lq6pqRz544cbyjY+fwnxsbGxsbG6uqKoeGhnp7j+7bt29wcDBMaOIzZiPNmjVrzpw5VVWVJ192bCQmMHv27GKx+Prrrx069M/fVc+aNWvu3Ln9/X0jl6OcjcSExmyk8XZLRUXF3LlzS6VSRUV+YGDw0KFDo799gjEbqVgsNjc3D39H3dvbayMxSWM2UlNTU1NT0/Hjxzs7O0cfZiMlSsEEAAAAwJREUDBNSMHEJNXU1BSLMw8e3B86CGmrq5tRVzfDRmKKSqWZ1dU1NhJTVF/fUFlZZSMxRY2Ns/P5vI3EFDU1zRkaGvrlL/0UCVPS1DRnYKD/tdcOhQ7CtDDkm3NEPp9vaGgKnYLkVVTkZ86cFToFyauoyBeLxdApSF5FRUVtbW3oFCSvsrKiUCiETkHyCoVCZaV/PDJVtbW1FRU20jnLQ8u5I5/Ph47AucBG4iyxkYBYeGUDoAzKWjCd6T/b/DMPAAAAIH5lbXCqq6tra+smWRsNDQ0dO/Yrv94LAAAAIHL5+vqGst3Z5z6z/v/4rZWTP/5vvrzpDz711PTl4VxSV1fX1rasvX1j6CCkrVSaOX9+67Ztm0MHIW0NDQ1NTc07dmwLHYS0zZ7dXCwWd+3qCB2EtLW0zKuqKnR1dZ7+UBhfa+ui/v6+7u59oYOQtsWL23p7ew8c6AkdhGlR1rfI/cGnnnr8ya5JHvz4k13aJQAAAID4lXvI9+/82yf27O097WF79vb+zr99ogx5AAAAAJiichdMk2yOJtlDAQAAABBcVRnu46r1177r/Z/4zv13P/3U47n/9d63z31m/XjHn9E76d4IxiwgGVjDKRpewNApYHq5RAATmI6XQpcdYAJn/bLjmsN0K0fBdLK/+fKm85c1nnLg9998edPffHlT+SMBk7egZfbi1uaG+mJFxbg/BTk4OHjotd5dXT17ug+UMxsAlIGXQqDMXHaIX5iCKZfL/cGnnlp+fv21V7eOvtFgb4jfmy5YdN7ieac9rKKioqlxZlPjzPpZM9q3+c01AJw7vBQCZeayQxLKNoPpFL/ze8ygJYO9J9B75HDoCMmzhmfFgpbZk3ltG+28xfMWtMwe+fDhb9/37IbHRx/w7IbHH/72faNv6d63+0t//bnRD9nJt/QeOfylv/5c977do78w28kzn2paTz6ZU8WwCHE+WNlODjAZ0/FSCDABlx1SUe4h36ONaZQM9ob4LW5tLttXAUCEvBQCZeayQypCFky5XO7xJ7v+46d/mjPYGxLRUF/M5XJHjx797J99et2bL7n7rv93oL9/zIfjfdWIxqY5Yw5omj137Jc0NhWqqye+pba2rlicOeYLs50886mm9eSTOVUMixDng5Xt5ACnNU0vhQDjcdkhFYELplwud/c9m/v7hwz2hiQMzxR8+qknL3zTyieeeqbvxIlN7a+M+XC8rxrvw1Peks9X5nP509xSUZHPn/5Ukzp51lNN68knc6oYFuFcerAATmuaXgoBxuOyQyqi2GRVVb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FdLdNuPKXHhl1/s9PcSybfsaLpnCnTWqZdc1zZwzddfWepHysAAAAAe8F+Q4ceFnsDRb/Ggb9v+W3sFQAAAAAhusQeAAAAAEDeBCYAAAAASiIwAQAAAFASgQkAAACAkghMAAAAAJREYAIAAACgJAITAAAAACURmAAAAAAoicAEAAAAQEkEJgAAAABKIjABAAAAUBKBCQAAAICSCEwAAAAAlOR/AZIjA1HN3llWAAAAAElFTkSuQmCC
改动挺多的，os_cpu_a.A51 还需要优化，今天太晚了，先这样吧。
本帖最后由 杨为民 于 2023-8-26 01:38 编辑
熊仔 发表于 2023-8-26 00:17
今天比较忙，挺晚才开始弄。终于弄好了临界区保护方法4
（1）首先祝贺，方法4通过临界区保护嵌套验证。
（2）下面是FreeRTOS的标准临界区保护方法，请对照你自己的点评一下：
/*-----------------------------------------------------------*/
void vPortEnterCritical( void )
{
portDISABLE_INTERRUPTS();// 杨注：关闭中断
uxCriticalNesting++;
/* This is not the interrupt safe version of the enter critical function so
* assert() if it is being called from an interrupt context.Only API
* functions that end in "FromISR" can be used in an interrupt.Only assert if
* the critical nesting count is 1 to protect against recursive calls if the
* assert function also uses a critical section. */
if( uxCriticalNesting == 1 )
{
configASSERT( ( portNVIC_INT_CTRL_REG & portVECTACTIVE_MASK ) == 0 );
}
}
/*-----------------------------------------------------------*/
void vPortExitCritical( void )
{
configASSERT( uxCriticalNesting );
uxCriticalNesting--;
if( uxCriticalNesting == 0 )
{
portENABLE_INTERRUPTS(); // 杨注：打开中断
}
}
/*-----------------------------------------------------------*/
（3）你要不要再挑战一下方法2和方法3？如果不试，建议把它们删掉
本帖最后由 杨为民 于 2023-8-26 02:55 编辑
“最新版本uC-OS2许可改成 APACHE 2.0 也就是可以商业使用不用授权。”
按我的理解“uC/OS-II”不是免费开源软件，原创作者已经声明作为商用必须获得授权（笔者在论坛里有专门的帖子介绍）。楼主不是原创只是移植着，楼主应该没有有权利取消授权，然后修改许可把它提供给商用的。
那么是不是有STC或者别的公司像“Silabs把uC-OS3版权买了，license改为Apache2”了，请楼主介绍一下，落实一下，这样有利于STC uC/OS-II的发展。
也就是说要提供一个“版权声明”的原始版
2. 版权声明：被许可软件的副本必须包含原始版权声明和许可声明。