关于32F数组区域重叠的问题 | 已解决
本帖最后由 御坂美琴我老婆 于 2024-10-9 09:17 编辑最近在写一个小东西，需要一次性给串口发3000个数据，后来增加到6000个，使用串口DMA发送，定义TX，RX，发3000的数据的时候没问题，发6000个数据的时候，发现老是有一段是乱的，再排查发现，好像有一段的RX的缓冲区
这是缓冲区定义
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
我把RX缓冲区的数据从0开填，然后串口发送AC 06 00 01 00 01 00 77，单片机收到之后开始发送
data:image/png;base64,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
然后串口助手接收，就发现，发送的数据里面，有一段就是RX的缓冲区，我人都傻了
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
数据是从第4032个数据之后开始变成RX缓冲区的，4032+64刚好是4096，不知道是不是有什么联系，也就是说，发出来的6000个数据，是4032（TX区）+64（RX区）+1904（TX区）一共6000个，我把优化啥的都关了，结果也是一样
然后我看了一下地址的分配，好像也没啥问题
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
不知道是什么原因，也不知道怎么解决，才疏学浅，故发论坛请大佬们看看
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找到原因了，感谢大家的回帖，特别鸣谢王昱顺，原来是32F 的edata是8K，xdata是4K，32G是edata是4K，xdata是8K，定义xdata超过了32Fxdata的范围，我一直以为32F和32G分配是一样的，记错了，算是闹了个乌龙，但有点奇怪为啥xdata超了没报错
用_at_指定绝对地址 地址冲突，编译时没报错吗 DebugLab 发表于 2024-10-9 01:02
地址冲突，编译时没报错吗
我看了keil的分配，上面图上就有，RX从0x010000~0x01003F，TX从0x010040开始，看起来也没啥问题 御坂美琴我老婆 发表于 2024-10-9 01:15
我看了keil的分配，上面图上就有，RX从0x010000~0x01003F，TX从0x010040开始，看起来也没啥问 ...
RX从0x010000开始，64字节，TX从0x010040开始，6000字节，看起来没什么问题，看看DMA配置呢，是不是DMA取错地址了 DebugLab 发表于 2024-10-9 01:29
RX从0x010000开始，64字节，TX从0x010040开始，6000字节，看起来没什么问题，看看DMA配置呢，是不是DMA取 ...
还有什么数据类型不匹配和溢出的问题 DebugLab 发表于 2024-10-9 01:31
还有什么数据类型不匹配和溢出的问题
没有，都是u8 问题解决没，知道什么什么原因没？怎么解决的，坛里告诉一声 是不是内存不够，换内存大的单片机试试 stc32f的xdata区域只有4k大小。可能是超出的部分在访问的时候被截断了，所以就像是从头又开始了一样。
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