xiaoyuxinke
发表于 2025-4-1 09:41:06
STC单片机很强大,不断学习中……
patch1582
发表于 2025-4-1 21:52:28
很强大的片子
522810886
发表于 2025-4-2 08:15:55
{:4_174:}
DebugLab
发表于 2025-4-2 17:33:16
1985年冬 发表于 2025-4-2 15:44
下面开源立创EDA文件,安装立创EDA专业版,双击eprj文件就打开了;
搞好点吗,这个文件打不开! ...你怎么打不开呢~搞好点搞好点~
data:image/png;base64,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
vb2002
发表于 2025-4-7 10:17:36
哥,我有个疑问.也算是半个问题把
我现在自己焊接的
因为板子上只有P32.给从机断电的.
那如果我想主机进入下载模式.
我现在的办法是按住P32短接VCC和GND.
vb2002
发表于 2025-4-7 10:18:37
vb2002 发表于 2025-4-7 10:17
哥,我有个疑问.也算是半个问题把
我现在自己焊接的
因为板子上只有P32.给从机断电的.
还有个办法就是按住P32拔跳线帽,然后再插上也可以
DebugLab
发表于 2025-4-7 10:19:15
vb2002 发表于 2025-4-7 10:17
哥,我有个疑问.也算是半个问题把
我现在自己焊接的
因为板子上只有P32.给从机断电的.
拔掉跳线,按住P32按键,插上跳线
ercircle
发表于 2025-4-7 11:06:43
哥,我也有个疑问{:4_178:},10Mbps波特率,传输速率能测到1MB/s附近吗。搞了个脚本测试测不到理论速率郁闷中。
import serial
import time
# 配置串口参数,需要根据实际情况修改
ser = serial.Serial(
port='COM45',# 串口号
baudrate=9216000,#9216000,# 波特率
bytesize=serial.EIGHTBITS,
parity=serial.PARITY_NONE,
stopbits=serial.STOPBITS_ONE
)
# 生成测试数据
test_data = b'A' * 1024# 1KB的数据
# 初始化变量
sent_data = b''
received_data = b''
start_time = time.time()
try:
# 进行10秒的压测
while time.time() - start_time < 10:
# 发送数据
ser.write(test_data)
sent_data += test_data
#print(f"已发送 {len(sent_data)} 字节数据")
# 接收数据
while ser.in_waiting:
received_data += ser.read(ser.in_waiting)
#print(f"已接收 {len(received_data)} 字节数据")
except KeyboardInterrupt:
print("测试被手动中断。")
finally:
# 关闭串口连接
ser.close()
# 计算发送和接收的数据量(单位:字节)
sent_size = len(sent_data)
received_size = len(received_data)
# 计算传输时间
elapsed_time = time.time() - start_time
# 计算传输速度(单位:MB/s)
speed = sent_size / (elapsed_time * 1024 * 1024)
# 对比收发数据是否一致
is_consistent = sent_data == received_data
print(f"发送数据量: {sent_size} 字节")
print(f"接收数据量: {received_size} 字节")
print(f"传输时间: {elapsed_time:.2f} 秒")
print(f"传输速度: {speed:.4f} MB/s")
print(f"收发数据是否一致: {'是' if is_consistent else '否'}")
DebugLab
发表于 2025-4-7 12:34:43
ercircle 发表于 2025-4-7 11:06
哥,我也有个疑问,10Mbps波特率,传输速率能测到1MB/s附近吗。搞了个脚本测试测不到理论速率郁闷中。
字节内是纯硬件处理,肯定是10M
字节间隔还有软件处理时间吧,响应中断读寄存器操作指针缓冲区中断返回之类的
用DMA的话还有内部硬件状态机处理时间,还有总线仲裁问题
可以用示波器看一下
cph_c
发表于 2025-4-10 13:32:03
您好!USB转双串口,跳线选择5V后,下载器上的主芯片AI8H2K12U电压,从3.3V提高到5V,没问题吧?
页:
3
4
5
6
7
8
9
10
11
12
[13]
14