static void Main(string[] args)
{
// *** CHANGE TO THE IP ADDRESS FOR INSTRUMENT ***
string instrumentIpAddress = "192.168.86.70";
// Create a TCP client for communicating with the Hyperion instrument
TcpClient tcpClient = new TcpClient();
// Connect to the instrument over TCP/IP
tcpClient.Connect(instrumentIpAddress, Command.TcpPort);
NetworkStream tcpNetworkStream = tcpClient.GetStream();
// Execute a simple command to retrieve the instrument serial number
CommandResponse response = Command.Execute(
tcpNetworkStream,
CommandName.GetSerialNumber);
// The response (unless specifically suppressed) contains an ASCII based Message field
// AND a binary (byte[]) Content field. The ASCII field is intended to be human readable
// and the binary data is intended to be easily parsed by a computer.
WriteLine("Instrument Serial Number");
WriteLine("------------------------");
WriteLine($"Message: {response.Message}");
WriteLine($"Content Converted to String {response.AsString()}");
WriteLine();
WriteLine();
// Execute the #GetPeaks command. The CommandName contains static string members
// for commands exposed by the instrument.
response = Command.Execute(
tcpNetworkStream,
CommandName.GetPeaks);
// Several extension methods are defined in the communication library that
// easily convert the response from a byte[] to useful types such as
// int, double, and more complex responses such as Peak/Spectrum data
PeakData peakData = response.AsPeakData();
WriteLine("Peak Data Header");
WriteLine("---------------------");
WriteLine($"Serial Number: {peakData.SerialNumber}");
WriteLine($"Timestamp: {peakData.Timestamp}");
WriteLine();
WriteLine("Peaks");
WriteLine("-----");
// The PeakData exposes the peaks in two ways...as Arrays and as Enumerables. The
// arrays will allocate new memory for the data but can be advantageous if the
// data needs to be repeatedly accessed. The Enumerable is great for situations where
// the data needs to be simply iterated through once and processed. This provides very
// high performance and low overhead for situations such as streaming large number of
// peaks at very high speeds.
for (int channelIndex = 0; channelIndex < 4; channelIndex++)
{
WriteLine($"Channel {channelIndex}: ");
foreach (double wavelength in peakData.AsEnumerable(1))
{
WriteLine($"\t{wavelength} nm");
}
}
WriteLine();
WriteLine();
// Retrieve the optical full spectrum response
response = Command.Execute(tcpNetworkStream, CommandOptions.None, CommandName.GetSpectrum);
// Use the extension methods to easily obtain the spectrum data
SpectrumData spectrumData = response.AsSpectrumData();
WriteLine("Full Spectrum");
WriteLine("-------------");
WriteLine($"Wavelength Start: {spectrumData.WavelengthStart:F3} nm");
WriteLine($"Wavelength Step: {(int)(1000 * spectrumData.WavelengthStep)} pm");
WriteLine($"Wavelength Step Count: {spectrumData.WavelengthStepCount}");
WriteLine($"Channel Count: {spectrumData.ChannelCount}");
WriteLine($"Serial Number: {spectrumData.SerialNumber}");
WriteLine($"Timestamp: {spectrumData.Timestamp}");
WriteLine();
WriteLine();
// Remove existing sensors
response = Command.Execute(tcpNetworkStream, CommandOptions.None, CommandName.GetSensorNames);
string[] sensorNames = response.AsString().Split(' ');
foreach (string sensorName in sensorNames)
{
WriteLine($"Removing sensor: {sensorName}");
response = Command.Execute(tcpNetworkStream, CommandOptions.None, CommandName.RemoveSensor, sensorName);
}
// Add some sensors
for (int i = 1; i <= 20; i++)
{
string name = $"sensor_{i}";
string model = i % 2 == 1 ? "os7510" : "os7520";
int channel = (i - 1) % 4 + 1;
int wavelength = 1510 + ((i - 1) % 4) * 20;
bool fixedOrientation = i % 2 == 0;
double calibration = 10.0 * i;
WriteLine($"Adding Sensor {name}");
WriteLine("----------------------------------------");
WriteLine($"Model: {model}");
WriteLine($"Channel: {channel}");
WriteLine($"Wavelength Band: {wavelength} nm");
WriteLine($"Calibration Factor: {calibration} nm/g");
WriteLine($"Fixed Orientation: {fixedOrientation}");
WriteLine();
string[] input_args = { name,
model,
channel.ToString(),
"0",
wavelength.ToString(),
calibration.ToString(),
fixedOrientation.ToString() };
response = Command.Execute(tcpNetworkStream, CommandOptions.None, CommandName.AddSensor, input_args);
}
// Retrieve the defined Sensors
response = Command.Execute(tcpNetworkStream, CommandOptions.None, CommandName.ExportSensors);
WriteLine(response.Message);
int offset = 0;
int version = BitConverter.ToUInt16(response.Content, offset);
offset += sizeof(UInt16);
int numberOfSensors = BitConverter.ToUInt16(response.Content, offset);
offset += sizeof(UInt16);
// Sensor Count
WriteLine($"Sensors - {numberOfSensors} (Data Export Version = {version})");
WriteLine();
// Create sensors
for (int sensorIndex = 0; sensorIndex < numberOfSensors; sensorIndex++)
{
FabryPerotAccelerometer fpSensor = (FabryPerotAccelerometer)SensorBase.Create(response.Content, ref offset);
WriteLine($"Sensor {sensorIndex + 1} - {fpSensor.Name} ({fpSensor.Model})");
WriteLine($"Sensor Definition Version: {fpSensor.FPSesnorVersion}");
WriteLine("----------------------------------------");
WriteLine($"ID: {fpSensor.Id}");
WriteLine($"Model: {fpSensor.Model}");
WriteLine($"Channel: {fpSensor.DutChannelIndex + 1}");
WriteLine($"Wavelength Band: {fpSensor.WavelengthBand} nm");
WriteLine($"Calibration Factor: {fpSensor.CalibrationFactor} nm/g");
WriteLine($"Fixed Orientation: {fpSensor.FixedOrientation}");
WriteLine();
}
WriteLine();
// Cleanup by closing the TCP connection
tcpNetworkStream.Close();
tcpClient.Close();
// Now demonstrating using the data streaming to continuously read consecutive
// peak data sets.
tcpClient = new TcpClient();
tcpClient.Connect(instrumentIpAddress, StreamingDataReader.PeakTcpPort);
tcpNetworkStream = tcpClient.GetStream();
// The StreamingDataReader class works for peaks and full spectrum. It can be
// used to easily and efficiently read consecutive datasets. The class internally
// uses a single buffer of memory to avoid allocating and collecting large
// amounts of memory and system resources. The mode Peak, Spectrum, Sensor) is
// defined when the reader is created.
StreamingDataReader reader = new StreamingDataReader(StreamingDataMode.Peaks);
WriteLine("Streaming Peak Data Acquistion Serial Numbers");
WriteLine("---------------------------------------------");
for (int index = 0; index < 10; index++)
{
WriteLine(
$"{index}: " +
$"{ reader.ReadStreamingData(tcpNetworkStream).AsPeakData().SerialNumber}");
}
WriteLine();
tcpNetworkStream.Close();
tcpClient.Close();
// Now demonstrating using the data streaming to continuously read consecutive
// sensor data sets.
tcpClient = new TcpClient();
tcpClient.Connect(instrumentIpAddress, StreamingDataReader.SensorTcpPort);
tcpNetworkStream = tcpClient.GetStream();
// The StreamingDataReader class works for peaks, full spectrum and sensors. It can be
// used to easily and efficiently read consecutive datasets. The class internally
// uses a single buffer of memory to avoid allocating and collecting large
// amounts of memory and system resources. The mode Peak, Spectrum, Sensor) is
// defined when the reader is created.
StreamingDataReader sensorReader = new StreamingDataReader(StreamingDataMode.Sensor);
WriteLine("Streaming Sensor Data Acquistion Serial Numbers");
WriteLine("---------------------------------------------");
for (int index = 0; index < 10; index++)
{
SensorData sensorData = sensorReader.ReadStreamingData(tcpNetworkStream).AsSensorData();
WriteLine(
$"{index}: " +
$"{sensorData.SerialNumber}");
}
WriteLine();
tcpNetworkStream.Close();
tcpClient.Close();
// Wait for any key press to exit
ReadLine();
}