/// <summary>
/// 读取线性化参数
/// </summary>
public LinearizationItem ReadLinearizationItem(long longAddress, byte para)
{
LinearizationItem ret = null;
RequestPacket request = new RequestPacket()
{
LongOrShort = 1, Address = longAddress, Command = 0xC0, DataContent = new byte[] { para }
};
ResponsePacket response = Request(request);
if (response != null && response.DataContent != null && response.DataContent.Length >= 10)
{
byte[] d = response.DataContent;
ret = new LinearizationItem();
ret.SensorValue = BitConverter.ToSingle(new byte[] { d[9], d[8], d[7], d[6] }, 0);
ret.SensorAD = BitConverter.ToSingle(new byte[] { d[4], d[3], d[2], d[1] }, 0);
}
return(ret);
}
public static void FillHeaderAndTail(List <LinearizationItem> lis)
{
int minAD = 0;
int maxAD = 70000;
float k = (lis[lis.Count - 1].SensorValue - lis[0].SensorValue) / (lis[lis.Count - 1].SensorAD - lis[0].SensorAD); //计算斜率
LinearizationItem header = new LinearizationItem();
header.SensorAD = minAD;
header.SensorValue = lis[0].SensorValue - k * (lis[0].SensorAD - minAD);
lis.Insert(0, header);
LinearizationItem tail = new LinearizationItem();
tail.SensorAD = maxAD;
tail.SensorValue = lis[lis.Count - 1].SensorValue + k * (maxAD - lis[lis.Count - 1].SensorAD);
lis.Add(tail);
if (lis.Count % 2 == 1)
{
lis.Add(tail); //凑成偶数,因为下发时两个两个下发
}
}
