johngrantuk

Question	BOLT	GRID
Is the token tied to a product usage, i.e. does it give the user exclusive access to it, or provide interaction rights to the product?	Yes, Provides access to Grid+ energy.	Yes, 1 GRID token = 500 kWh at the wholesale price.
Does the token grant a governance action, like voting on a consensus related or other decision-making factor?	No	No
Does the token enable the user to contribute to a value-adding action for the network or market that is being built?	Yes, Selling generated electricity on a p2p network.	No
Does the token grant an ownership of sorts, whether it is real or a proxy to a value?	Yes, Ownership of energy.	Yes, Ownership of wholesale energy.
Does the token result in a monetizable reward based on an action by the user (active work)?	Yes, Any revenue earned by a customer from selling electricity is earned in BOLT tokens instead of fiat and is stored on the Agent.	No
Does the token grant

johngrantuk

Intro

IOTA is a revolutionary new transactional settlement and data integrity layer for the Internet of Things. It’s based on a new distributed ledger architecture, the Tangle, which overcomes the inefficiencies of current Blockchain designs and introduces a new way of reaching consensus in a decentralized peer-to-peer system. For the first time ever, through IOTA people can transfer money without any fees. This means that even infinitesimally small nanopayments can be made through IOTA. - From the docs

Sounds pretty cool! And I think it has potential to overcome some existing blockchain issues. I wanted to try out some development using Python and IOTA Python. It took a bit of work getting started but once you know the steps it's pretty easy so I thought I'd share what I did.

Setup Dev Environment

It's always good practise to develop using a virtual environment so I started in a clean dir and ran:

johngrantuk

def WorkCheck():
    try:

        # HERE SOME INITIAL WORK IS DONE THAT SCRIPTS 1 & 2 NEED TO WAIT FOR
        # IDs SERIAL PORTS
        # SAVE TO db

        r = redis.StrictRedis(host='localhost', port=6379)                # Connect to local Redis instance

        p = r.pubsub()                                                    # See https://github.com/andymccurdy/redis-py/#publish--subscribe

johngrantuk

import redis
import time
import traceback


def RedisCheck():
    try:
        r = redis.StrictRedis(host='localhost', port=6379)                          # Connect to local Redis instance

        p = r.pubsub()                                                              # See https://github.com/andymccurdy/redis-py/#publish--subscribe

johngrantuk

"""
13/07/18
Reads csv file and plots lat/lng positions.
Markers are coloured to match satellite number when signal > -100 or are coloured red when signal = -100
"""
import cartopy.crs as ccrs
import numpy as np
import matplotlib.pyplot as plt
from datetime import datetime
import traceback

johngrantuk

def FieldSumHorn(ElementArray, Freq):
    """
    Summation of field contributions from each horn element in array, at frequency freq for theta 0°-95°, phi 0°-360°.
    Horn pattern estimate using cos q(theta) function.
    Element = xPos, yPos, zPos, ElementAmplitude, ElementPhaseWeight
    Returns arrayFactor[theta, phi, elementSum]
    """

    arrayFactor = np.ones((360, 95))

johngrantuk

def FieldSumPatch(ElementArray, Freq, W, L, h, Er):
    """
    Summation of field contributions from each patch element in array, at frequency freq for theta 0°-95°, phi 0°-360°.
    Element = xPos, yPos, zPos, ElementAmplitude, ElementPhaseWeight
    Returns arrayFactor[theta, phi, elementSum]
    """
    
    arrayFactor = np.ones((360, 95))

    Lambda = 3e8 / Freq

johngrantuk

def ArrayFactor(ElementArray, Freq):
    """
    Summation of field contributions from each element in array, at frequency freq at theta 0°-95°, phi 0°-360°.
    Element = xPos, yPos, zPos, ElementAmplitude, ElementPhaseWeight
    Returns arrayFactor[theta, phi, elementSum]
    """

    arrayFactor = np.ones((360, 95))

    Lambda = 3e8 / Freq

johngrantuk

"""
Returns the efficiency of a rectangular microstrip patch as a percentage. Based on ArrayCalc calc_patchr_eff.m.
References:
Microstrip Antennas, I.J Bahl and P.Bhartia, Published Atrech House, Page 60
Advances in Microstrip and Printed Antennas", Lee and Chen (Ch5)

Some useful numbers :

                CONDUCTORS                                      DIELECTRICS

johngrantuk

"""
Function to calculate peak directivity.
Also includes some examples that are used to check result.
"""
from math import sin, sqrt, pi, log10, radians
import numpy as np
import patch


def SqrtSinPattern(Theta, Phi, *args):