How do I use the SCI I/O model on an FT 5000 Smart Transceiver or a Neuron 5000 Processor? (KB799)

Question Detail

I would like to know how to use the SCI I/O model (hardware UART) on a Series 5000 chip. It seems like some data bytes are missing when I try to read the incoming data. How can I avoid data loss?


To use the SCI I/O model properly on series 5000 chips, perform the following tasks: .

  1. Ensure that Series 5000 Tools Update 2 is installed for your tool (the NodeBuilder FX Development Tool or Mini FX Evaluation Kit). Download it from . Follow the instructions in the readme for the update, and ensure that the gen.lib and echelon.h files are updated.
  2. Use the sci_in_request_ex() function instead of the io_in_request()function. The sci_in_request_ex() function has different parameters from the io_in_request()function. This is shown in the example below.
  3. Use a "double buffering" technique to switch between two different incoming data buffer so that you will not miss any data.

The following Neuron C code example demonstrates steps 2 and 3, above:

// pragmas
#pragma num_alias_table_entries 0
#pragma specify_io_clock "10 MHz" 

// SCI_4800 etc., are declared in this header file
#include <io_types.h>

// SCI declaration
IO_8 sci baud(SCI_115200) iosci; 

// Buffers and variable declarations
char szRxBufA[50];
char szRxBufB[50];
unsigned short rx_count;
int bufTog;

// Function declaration
void processRxData(char buffer[50], unsigned short rx_count);

 // Switch to the other buffer and keep the RX count
 rx_count = sci_in_request_ex((bufTog) ? szRxBufA : szRxBufB, sizeof(szRxBufA));
 bufTog ^= 1; // toggle this
 // Do something with RX data using the filled data buffer. 
 // It may be only a few bytes, or it may be close to 50 bytes. 
 processRxData((bufTog) ? szRxBufA : szRxBufB, rx_count);

when (reset)
 (void)io_in_request(iosci, szRxBufA, 50);
 bufTog = 0;  // indicates that A is in use.

void processRxData(char buffer[50], unsigned short rx_count)
 io_out_request(iosci, buffer, rx_count);
Related Products
  • FT 5000
  • Mini EVK
  • Mini FX
  • Neuron 5000
  • Neuron C
  • Neuron Chips
  • NodeBuilder FX
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