Add INL Sweep advantest-R6581T-781T0050---datron-4805-XANS1---TEST3.csv

advantest-R6581T-781T0050/datron-4805-XANS1/README.md

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+| Meter Manufacturer | Meter Model | Meter SerialNumber | Source Manufacturer | Source Model | Source SerialNumber | MinMax | File | ID | User |
+|--------------------|-------------|--------------------|---------------------|--------------|---------------------|--------|------|----|------|
+|advantest|R6581T|781T0050|datron|4805|XANS1|0.0|/data/advantest-R6581T-781T0050---datron-4805-XANS1---TEST3.jpg|TEST3|xans|

advantest-R6581T-781T0050/datron-4805-XANS1/data/INLV-AdvDat.py

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+import GPIBPrologix
+import bme280
+import smbus2
+from requests import post
+
+## Initialize GPIB adapter
+GPIB = GPIBPrologix.ResourceManager("/dev/ttyACM0")
+# Connect equipment
+inst2 = GPIB.open_resource(30)
+inst3 = GPIB.open_resource(16)
+# Initialize BME280 temperature/humidity sensor
+bus = smbus2.SMBus(1)
+## Configure equipment
+# BME280 temperature/humidity sensor
+calibration_params = bme280.load_calibration_params(bus, 0x76)
+
+# Datron 4805 Calibrator
+inst2.query("F0=")       #DCV
+inst2.query("R6=")       #10/100K Range
+inst2.query("S0=")       #LocalSense
+inst2.query("M0.0069=")  #6.9mV Out, sanity check
+inst2.query("O1=")       #OutputON
+# Advantest R6581T
+inst3.query("*RST")
+inst3.query(":CONF:VOLT:DC")
+inst3.query(":SENS:VOLT:NPLC 100")
+inst3.query(":SENS:VOLT:DIG MAX")
+inst3.query(":SENS:VOLT:RANG 10")
+inst3.query(":ZERO:AUTO ON")
+
+# Measurement functions
+def readValue(instObj):
+    value = instObj.query("FETch?")
+    return value
+def setValue(instObj, inputVar):
+    instObj.query("M"+str(inputVar)+"=")
+    return inputVar
+def getEnvironment(instObj, i2cbus):
+    value = instObj.sample(i2cbus, 0x76, calibration_params)
+    return value
+
+## Have gitpython pull in the repository
+import os
+import git
+import shutil
+username = input("Your 0xC6 git username: ")
+password = input("Your 0xC6 git password: ")
+remote = f"https://{username}:{password}@git.0xc6.com/xans/INL-Measurements.git"
+if not os.path.exists(os.getcwd()+"/INL-Measurements"):
+    git.Repo.clone_from(remote, os.getcwd()+"/INL-Measurements/")
+else:
+    shutil.rmtree(os.getcwd()+"/INL-Measurements/", ignore_errors=True)
+    git.Repo.clone_from(remote, os.getcwd()+"/INL-Measurements/")
+
+## Get needed info to properly label everything
+MeterManufacturer  = input("Meter Manufacturer: ").lower()
+MeterModel         = input("Meter Model: ").upper()
+MeterSN            = input("Meter SN: ").upper()
+SourceManufacturer = input("Source Manufacturer: ").lower()
+SourceModel        = input("Source Model: ").upper()
+SourceSN           = input("Source SN: ").upper()
+measid        = input("Personally assigned measurement ID: ").upper()
+shellyIp        = input("If you use shelly for protection, enter the IP: ").upper()
+
+if shellyIp and os.system("ping -c 1 " + shellyIp):
+    print("shelly not found")
+    quit()
+if shellyIp:
+    url = "{}://{}:{}/relay/0?turn=on".format("http", "192.168.0.101", "80")
+    post(url)
+
+## Create proper directory structure
+basePath = os.getcwd() + "/INL-Measurements/"
+dutname = MeterManufacturer+'-'+MeterModel+'-'+MeterSN
+if not os.path.exists(basePath+dutname):
+    os.makedirs(basePath+dutname)
+sourcename = SourceManufacturer+'-'+SourceModel+'-'+SourceSN
+if not os.path.exists(basePath+dutname+'/'+sourcename):
+    os.makedirs(basePath+dutname+'/'+sourcename)
+if not os.path.exists(basePath+dutname+'/'+sourcename+"/data/"):
+    os.makedirs(basePath+dutname+'/'+sourcename+"/data/")
+basePath = basePath+dutname+'/'+sourcename
+print(basePath+"/data/")
+
+import csv  
+import time
+import datetime
+import numpy as np
+import pandas as pd
+from math import sin
+## Create logfile
+logFileName = MeterManufacturer+'-'+MeterModel+'-'+MeterSN+'---'+SourceManufacturer+'-'+SourceModel+'-'+SourceSN+'---'+measid+'.csv'
+with open(basePath+"/data/"+logFileName, 'a') as f:
+    writer = csv.writer(f)
+    writer.writerow(["DateTime","Set Volts","Measured Volts","Env Pressure","Env Temperature", "Env Humidity"])
+print(basePath+"/data/"+logFileName)
+
+sweep = np.arange(-12,0,0.5)
+
+cntr = 0
+d     = datetime.datetime.now()
+dlast = datetime.datetime.now()
+## Collect data
+time.sleep(60)
+for x in sweep:
+    cntr = cntr + 1
+    try:
+        #Set volt and let accimatize
+        setPoint = setValue(inst2,round(x,5))
+        timebetween = (d-dlast) * (len(sweep)-cntr)
+        dlast = d
+        print(str(cntr)+'/'+str(len(sweep))+' Estimated Time Left: '+str(timebetween))
+        time.sleep(10)
+        for i in range(3):
+            try:
+                time.sleep(5)
+                #Get DUT value
+                readout = readValue(inst3)
+                #Get envirnmental values
+                data = getEnvironment(bme280, bus)
+                #Write to file
+                d = datetime.datetime.now()
+                dx = d - datetime.timedelta(microseconds=d.microsecond)
+                fields=[dx.strftime("%d-%m-%y %H:%M:%S"),setPoint,float(readout),round(data.humidity,2),round(data.temperature,2),round(data.pressure,2)]
+                print(fields)
+                with open(basePath+"/data/"+logFileName, 'a') as f:
+                    writer = csv.writer(f)
+                    writer.writerow(fields)
+                if shellyIp and float(data.temperature) > 30 or float(data.temperature) < 16:
+                    url = "{}://{}:{}/relay/0?turn=off".format("http", "192.168.0.101", "80")
+                    post(url)
+            except Exception as e: 
+                time.sleep(15)
+                i = i-1
+    except Exception as e: 
+        print(e)
+        time.sleep(1)
+
+## Calculate high order polynomial
+df = pd.read_csv(basePath+"/data/"+logFileName)
+df = df.groupby(["Set Volts"], as_index=False).mean(numeric_only=False)
+highOrderPolyFit = np.polyfit(df["Set Volts"], df["Set Volts"]-df["Measured Volts"], 35)
+trendPoly = np.poly1d(highOrderPolyFit)
+## Make plot and save
+import sys
+from matplotlib import pyplot as plt
+plt.plot(df["Set Volts"], df["Set Volts"]-df["Measured Volts"])
+polyIndex = np.arange(-11.9,0.1,0.01)
+plt.plot(polyIndex, trendPoly(polyIndex))
+plt.xlabel('Source Voltage')
+plt.ylabel('Delta Set/Meas')
+plt.title ('INLV sweep '+ logFileName[:-4])
+plt.savefig(basePath+"/data/"+logFileName[:-4]+".jpg", bbox_inches='tight')
+
+minVal = trendPoly(polyIndex)
+maxVal = trendPoly(polyIndex)
+minVal = min(minVal)
+maxVal = min(maxVal)
+## Write away values to result overview
+if not os.path.exists(basePath+'/README.md'):
+    with open(basePath+'/README.md', 'a') as f:
+        f.write("| Meter Manufacturer | Meter Model | Meter SerialNumber | Source Manufacturer | Source Model | Source SerialNumber | MinMax | File | ID | User |\n")
+        f.write("|--------------------|-------------|--------------------|---------------------|--------------|---------------------|--------|------|----|------|\n")
+        f.close()
+with open(basePath+'/README.md', 'a') as f:
+    linkToImg = "/data/"+logFileName[:-4]+".jpg"
+    print("|"+MeterManufacturer+"|"+MeterModel+"|"+MeterSN+"|"+SourceManufacturer+"|"+SourceModel+"|"+SourceSN+"|"+str(round((maxVal-minVal),10))+"|"+linkToImg+"|"+measid+"|"+username+"|\n")
+    f.write("|"+MeterManufacturer+"|"+MeterModel+"|"+MeterSN+"|"+SourceManufacturer+"|"+SourceModel+"|"+SourceSN+"|"+str(round((maxVal-minVal),10))+"|"+linkToImg+"|"+measid+"|"+username+"|\n")
+    f.close()
+    shutil.copy(os.getcwd()+'/'+sys.argv[0],basePath+"/data/")
+    repo = git.Repo(os.getcwd() + "/INL-Measurements/")
+    repo.git.add(basePath)
+    repo.index.commit("Add INL Sweep "+ logFileName)
+    repo.remotes[0].push()
+

advantest-R6581T-781T0050/datron-4805-XANS1/data/advantest-R6581T-781T0050---datron-4805-XANS1---TEST3.csv

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+DateTime,Set Volts,Measured Volts,Env Pressure,Env Temperature,Env Humidity
+10-12-23 22:57:37,-12.0,-11.9999804,61.2,19.11,999.41
+10-12-23 22:57:42,-12.0,-11.9999816,61.16,19.1,999.45
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