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saveRDSCustom <- function(obj,fileName){
  tryCatch({
    fileConn<-file(fileName,blocking = TRUE)
    saveRDS(obj,fileConn)
    close(fileConn)
    return(TRUE)
  }
  ,error=function(e){
 cat(e)

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{"t":1479255000,"c":0}
c is a number
convert it to binary
5bit are used

1st bit : unused , always 0
2nd bit : configured
3rd bit : discovered
4th bit : connected
5th bit : recieved

neerajnagi

Db

Db is a typical key-value store, key is a vector so you can track any number of metrics with various combinations

Db.new()
Db.get(Vector) 
Db.put(Vector, Object)

Stats

Stats can be used to track moments calculation over every N batches

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WINDOW is # of batches to be used

#define WINDOW = 24 //for 4 hours double n,m1,m2,m3,m4 //mN is Nth moment

function reset(){ n=0 m1=0 m2=0

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shell access of RPI

cd ~/prophecy-gateway/src/public/js

edit function.js line 66

redis-cli
> flushall ( inside redis console)

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[
  ["Custom.*", "Blower",
    ["Blower Vibration CUSTOM"]
  ],
  ["VPDB.*", "Blower", 
    ["Blower Vibration VPDB","Filter Status VPDB", "Oil Check VPDB", "Oil Overfill Indicator VPDB", "Belt Tension VPDB"]
  ],
  ["SVP.*", "Blower", 
 ["Blower Vibration SVP","Filter Status SVP", "Oil Check SVP", "Oil Overfill Indicator SVP", "Belt Tension SVP"]

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color       description                                                    appropriate_reason

white       machine stationary                                              Machine is idle                         
white       batch rejected                                                  Poor quality of data
white       autobaseline input missing in json                              Baseline pending 
black       non-autobaseline input missing in json                          Unexpected Error
black       R code failure,exception etc                                    Unexpected Error
black       batch missing                                                   Link Error

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R algo will require multiple algos for a particular gauge based on model information. Also there is a frequent change in input structure of input.

To handle these things a unified json will be provided which will have following #####1) header containing machine details ( model, name, company, zone etc ) #####2) All the available statistics for all the collectors of all the subassemblies of a machines. #####3) raw data in 2d array format under collector

This will be the only input everything else will be sourced statically.

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prerequisite

company
machineName ( svp_10 ) 
machineID (machine-a39x9d...... )
dataviewer login(  sumin1  / sumin1 ) 

Check that baseline is set for gauge if its applicable

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supress all warning messages

options(warn=-1)

suppress all library messages

 suppressMessages(library("dplyr"))