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main.py
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main.py
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from io import BytesIO
from flask import Flask, render_template, flash, request, send_file, make_response
from wtforms import Form, TextField, TextAreaField, validators, StringField, SubmitField
from werkzeug import secure_filename
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
from numpy.linalg import inv
from haversine import haversine
from sympy import *
import os
import random
import shutil
from datetime import datetime
from itertools import permutations
from matplotlib.figure import Figure
from matplotlib.axes import Axes
from matplotlib.lines import Line2D
from matplotlib.backends.backend_agg import FigureCanvasAgg
global eccData
global costData
global suiData
global ciData
global fiData
global perda
global d
global ext
global extAG
global nomeAG
app = Flask(__name__)
app.config.from_object(__name__)
app.config['SECRET_KEY'] = '7d441f27d441f27567d441f2b6176a'
@app.route("/", methods=['GET', 'POST'])
def hello():
return render_template('index.html')
@app.route("/goToOutdoor", methods=['GET', 'POST'])
def goToOutdoor():
return render_template('fourth.html')
@app.route("/goToIndoor", methods=['GET', 'POST'])
def goToIndoor():
return render_template('fifth.html')
@app.route("/indoor", methods=['GET', 'POST'])
def indoor():
section = '#rModelos'
if request.method == 'POST':
global ext
now = datetime.now()
name = str(now.year) + str(now.month) + str(now.day) + str(now.hour) + str(now.minute) + str(now.second)
try:
xt = float(request.form['xt'])
yt = float(request.form['yt'])
x0 = np.asarray(request.form['x0'].split(",")).astype(np.float)
y0 = np.asarray(request.form['y0'].split(",")).astype(np.float)
ptdo = float(request.form['ptd0'])
do = float(request.form['d0'])
ptdb = float(request.form['ptdb'])
f = float(request.form['fq'])
gt = float(request.form['gt'])
gr = float(request.form['gr'])
t = 300
bmhz = float(request.form['bmhz'])
noise = 0
ambiente = request.form['nameAmbiente']
constb = 1.3806503e-23
nx = 80
ny = 40
Lf = 32.45 + 20 * np.log10(f/1000) + 20 * np.log10(do)
nap = len(x0)
cor = 'red'
dx = np.linspace(0, xt, nx)
dy = np.linspace(0, yt, ny)
px = len(dx)
py = len(dy)
if ambiente[0] == '-':
file = request.files['myfileIN']
filename = secure_filename(file.filename)
file.save(os.path.join(filename))
valores, campoeletrico, distancia = lerArquivoIndoor(filename, x0[0], y0[0]) # Lembre de ajeitar isso aqui
n = calculan(valores, distancia)
elif ambiente[0] == 'C':
n = 1.8
elif ambiente[0:11] == 'Ambientes G':
n = 2
elif ambiente[0:11] == 'Ambientes M':
n = 3
elif ambiente[0:11] == 'Ambientes D':
n = 4
modelo = request.form['nameModels']
if modelo[0] == 'M':
file1 = request.files['paredes']
filename1 = secure_filename(file1.filename)
file1.save(os.path.join(filename1))
modelh, modelv, ph, pv = lerTexto(filename1)
if modelo[0] == 'F':
file = request.files['myfileIN']
filename = secure_filename(file.filename)
file.save(os.path.join(filename))
valores, campoeletrico, distancia = lerArquivoIndoor(filename, x0[0], y0[0]) # Lembre de ajeitar isso aqui
except:
return render_template('indexError.html')
if modelo[0] == 'M':
ext = 'mk'
tit = 'Motley Keenan'
elif modelo[0] == 'F':
ext = 'fi'
tit = 'Flaoting Interception'
elif modelo[0] == 'C':
ext = 'ci'
tit = 'Close In'
elif modelo[0] == 'I':
ext = 'itu'
tit = 'ITU-R P.1238-8'
try:
os.mkdir('static/img/indoor/' + ext)
except FileExistsError:
shutil.rmtree('static/img/indoor/' + ext)
os.mkdir('static/img/indoor/' + ext)
fig, ax = plt.subplots()
if modelo[0] == 'M':
ax = plotarParedes(ax, ph, pv, modelh, modelv)
perda_f, non_cob = cobertura(x0, y0, ext, ny, nx, nap, 0, dx, dy, Lf, n, ph, pv, modelh, modelv, f, ptdb, gt, gr, py, px, 0, 0)
elif modelo[0] == 'F':
perda_f, non_cob = cobertura(x0, y0, ext, ny, nx, nap, 0, dx, dy, Lf, n, 0, 0, 0, 0, f, ptdb, gt, gr, py, px, valores, distancia)
else:
perda_f, non_cob = cobertura(x0, y0, ext, ny, nx, nap, 0, dx, dy, Lf, n, 0, 0, 0, 0, f, ptdb, gt, gr, py, px, 0, 0)
perda_f = np.asarray(perda_f) + gt + gr
ax.plot(x0, y0, 'o', color=cor)
plt.title("Perda pelo Modelo " + tit)
plt.imshow(perda_f,cmap='jet',extent=[0,xt,0,yt],origin='lower')
plt.colorbar(label="dB")
path = 'static/img/indoor/' + ext + '/perda' + name + '.png'
plt.savefig(path)
prmk = ptdb - np.asarray(perda_f)
fig, ax = plt.subplots()
if modelo[0] == 'M':
ax = plotarParedes(ax, ph, pv, modelh, modelv)
ax.plot(x0, y0, 'o', color=cor)
plt.title("Potência Recebida pelo " + tit)
plt.imshow(prmk,cmap='jet',extent=[0,xt,0,yt],origin='lower')
plt.colorbar(label="dBm")
path = 'static/img/indoor/' + ext + '/pr' + name + '.png'
plt.savefig(path)
divisor = np.power(10, noise/10) * constb * t * bmhz * 10**6
snrmk = np.asarray(prmk) - (10*np.log10(divisor) + 30)
fig, ax = plt.subplots()
if modelo[0] == 'M':
ax = plotarParedes(ax, ph, pv, modelh, modelv)
ax.plot(x0, y0, 'o', color=cor)
plt.title("SNR pelo Modelo " + tit)
plt.imshow(snrmk,cmap='jet',extent=[0,xt,0,yt],origin='lower')
plt.colorbar(label="dB")
path = 'static/img/indoor/' + ext + '/snr' + name + '.png'
plt.savefig(path)
itmk = np.power(10, ((np.asarray(prmk) + 20 * np.log10(f) + 77.2)/20)) * 0.000001
fig, ax = plt.subplots()
if modelo[0] == 'M':
ax = plotarParedes(ax, ph, pv, modelh, modelv)
ax.plot(x0, y0, 'o', color=cor)
plt.title("Intensidade pelo Modelo " + tit)
plt.imshow(itmk,cmap='jet',extent=[0,xt,0,yt],origin='lower', vmax = 1)
plt.colorbar(label="V/m")
path = 'static/img/indoor/' + ext + '/ce' + name + '.png'
plt.savefig(path)
ola = (10**((np.asarray(prmk))/10))
sinrmk = np.asarray(prmk) - (10*np.log10(divisor) + 30) - ola
fig, ax = plt.subplots()
if modelo[0] == 'M':
ax = plotarParedes(ax, ph, pv, modelh, modelv)
ax.plot(x0, y0, 'o', color=cor)
plt.title("SINR pelo Modelo " + tit)
plt.imshow(sinrmk,cmap='jet',extent=[0,xt,0,yt],origin='lower')
plt.colorbar(label="dB")
path = 'static/img/indoor/' + ext + '/sinr' + name + '.png'
plt.savefig(path)
cpmk = []
for i in range(ny):
cpmk.append([])
for i in range(ny):
for j in range(nx):
oi = bmhz * np.log2(1+((10**(sinrmk[i][j]/10))/1000))*10**-3
cpmk[i].append(10*np.log10(1000 * oi))
fig, ax = plt.subplots()
if modelo[0] == 'M':
ax = plotarParedes(ax, ph, pv, modelh, modelv)
ax.plot(x0, y0, 'o', color=cor)
plt.title("Capacidade pelo Modelo " + tit)
plt.imshow(cpmk,cmap='jet',extent=[0,xt,0,yt],origin='lower')
plt.colorbar(label="mbps")
path = 'static/img/indoor/' + ext + '/capacidade' + name + '.png'
plt.savefig(path)
return render_template('fifth.html', section=section, ext=ext, name=name)
@app.route("/downIndoor", methods=['GET', 'POST'])
def downloadIndoor():
if request.method == 'POST':
try:
shutil.make_archive('Modelo' + ext, 'zip', 'static/img/indoor/' + ext)
path = 'Modelo' + ext + '.zip'
except:
return render_template('indexError.html')
return send_file(path, as_attachment=True)
return render_template('fifth.html')
@app.route("/comparacao", methods=['GET', 'POST'])
def comparision():
algo = 'comparacao'
if request.method == 'POST':
try:
f = float(request.form['freq1'])
do = float(request.form['d01'])
ptdb = float(request.form['ptdb1'])
gt = float(request.form['gt1'])
gr = float(request.form['gr1'])
x0 = float(request.form['x01'])
y0 = float(request.form['y01'])
ambiente = request.form['nameAmbiente']
file = request.files['compararFile']
filename = secure_filename(file.filename)
file.save(os.path.join(filename))
Lf = 32.45 + 20 * np.log10(do) + 20 * np.log10(f/1000)
valores, campoeletrico, distancia = lerArquivoIndoor(filename, x0, y0)
pathN, n, Ln5, Ln4, Ln3, Ln2, Ln1, Lnn, dns = calculanComGrafico(np.asarray(valores) + 6, distancia, Lf, do)
if ambiente[0] == '-':
nITU = n
nMK = n
elif ambiente[0] == 'C':
nITU = 2
nMK = 1.8
elif ambiente[0:11] == 'Ambientes G':
nITU = 2.2
nMK = 2
elif ambiente[0:11] == 'Ambientes M':
nITU = 2.8
nMK = 3
elif ambiente[0:11] == 'Ambientes D':
nITU = 3
nMK = 4
pathComparar, itu, ci, mk, o, fi, a, b = comparar(distancia, do, f, Lf, n, ptdb, valores, gt, gr, nITU, nMK)
info = str(round(n, 2)) + " " + str(round(rmse(o, itu), 4)) + " " + str(round(rmse(o, ci), 4)) + " " + str(round(rmse(o, mk), 4)) + " " + str(round(rmse(o, fi), 4)) + " " + str(round(a, 2)) + " " + str(round(b, 2))
except:
return render_template('indexError.html')
return render_template('fifth.html', algo=algo, itu=itu, medido=o, ci=ci, fi=fi, mk=mk, infoCom=info, dist1=distancia, n1=n, Ln5=Ln5, Ln4=Ln4, Ln3=Ln3, Ln2=Ln2, Ln1=Ln1, Lnn=Lnn, dns=dns)
@app.route("/compararDown", methods=['GET', 'POST'])
def comparisionDown():
algo = 'comparacao'
if request.method == 'POST':
try:
path = 'static/img/indoor/comparacao.png'
return send_file(path, as_attachment=True)
except:
return render_template('indexError.html')
return render_template('fifth.html', algo=algo, itu=itu, medido=o, ci=ci, mk=mk, infoCom=info)
# -----------------------------------------------------------------------------------------------------------------------------------
@app.route("/downSite", methods=['GET', 'POST'])
def downSite():
path = 'static/pdf/WebZiwiInstrucoes.pdf'
return send_file(path, as_attachment=True)
@app.route("/downApp", methods=['GET', 'POST'])
def downApp():
path = 'static/pdf/AplicativoZiwiInstrucoes.pdf'
return send_file(path, as_attachment=True)
@app.route("/downVR", methods=['GET', 'POST'])
def downVR():
path = 'static/pdf/VRZiwiInstrucoes.pdf'
return send_file(path, as_attachment=True)
# -----------------------------------------------------------------------------------------------------------------------------------
@app.route("/indoorAG", methods=['GET', 'POST'])
def oti():
maisalgo = '#rAG'
if request.method == 'POST':
global extAG
global nomeAG
now = datetime.now()
name = str(now.year) + str(now.month) + str(now.day) + str(now.hour) + str(now.minute) + str(now.second)
nomeAG = name
#try:
tomada = request.form['optradio']
if tomada[0] == 'c':
txx = np.asarray(request.form['txx'].split(",")).astype(np.float)
tyy = np.asarray(request.form['tyy'].split(",")).astype(np.float)
na = int(request.form['na2'])
semTomada = ""
interacoes = 0
limiar = 0
else:
interacoes = int(request.form['intAG'])
limiar = float(request.form['limAG'])
semTomada = True
xt = float(request.form['xt2'])
yt = float(request.form['yt2'])
x0 = np.asarray(request.form['x02'].split(",")).astype(np.float)
y0 = np.asarray(request.form['y02'].split(",")).astype(np.float)
ptdo = float(request.form['ptd02'])
do = float(request.form['d02'])
ptdb = float(request.form['ptdb2'])
f = float(request.form['fq2'])
gt = float(request.form['gt2'])
gr = float(request.form['gr2'])
t = 300
bmhz = float(request.form['bmhz2'])
noise = 0
ambiente = request.form['nameAmbiente2']
if ambiente[0] == '-':
file = request.files['myfileIN2']
filename = secure_filename(file.filename)
file.save(os.path.join(filename))
valores, campoeletrico, distancia = lerArquivoIndoor(filename, x0[0], y0[0]) # Lembre de ajeitar isso aqui
n = calculan(valores, distancia)
elif ambiente[0] == 'C':
n = 1.8
elif ambiente[0:11] == 'Ambientes G':
n = 2
elif ambiente[0:11] == 'Ambientes M':
n = 3
elif ambiente[0:11] == 'Ambientes D':
n = 4
modelo = request.form['nameModels2']
if modelo[0] == 'M':
file1 = request.files['paredes2']
filename1 = secure_filename(file1.filename)
file1.save(os.path.join(filename1))
modelh, modelv, ph, pv = lerTexto(filename1)
#except:
# return render_template('indexError.html')
constb = 1.3806503e-23
nx = 80
ny = 40
Lf = 32.45 + 20 * np.log10(f/1000) + 20 * np.log10(do)
nap = len(x0)
cor = 'red'
dx = np.linspace(0, xt, nx)
dy = np.linspace(0, yt, ny)
px = len(dx)
py = len(dy)
if modelo[0] == 'M':
extAG = 'mk'
tit = 'Motley Keenan'
elif modelo[0] == 'F':
extAG = 'fi'
tit = 'Flaoting Interception'
elif modelo[0] == 'C':
extAG = 'ci'
tit = 'Close In'
elif modelo[0] == 'I':
extAG = 'itu'
tit = 'ITU-R P.1238-8'
try:
os.mkdir('static/img/indoor/AG/' + extAG)
except FileExistsError:
shutil.rmtree('static/img/indoor/AG/' + extAG)
os.mkdir('static/img/indoor/AG/' + extAG)
# -----------------------------------------------------------------------------------------------------------------------------
if tomada[0] == 'c':
if extAG == 'mk':
ba, by = otimizarTomada(txx, tyy, limiar, na, cor, ph, pv, modelh, modelv, tit, extAG, name, dx, dy, Lf, n, f, ptdb, gt, gr, py, px, ny, nx, xt, yt, 0, 0)
elif extAG == 'fi':
ba, by = otimizarTomada(txx, tyy, limiar, na, cor, ph, pv, modelh, modelv, tit, extAG, name, dx, dy, Lf, n, f, ptdb, gt, gr, py, px, ny, nx, xt, yt, valores, distancia)
else:
ba, by = otimizarTomada(txx, tyy, limiar, na, cor, 0, 0, 0, 0, tit, extAG, name, dx, dy, Lf, n, f, ptdb, gt, gr, py, px, ny, nx, xt, yt, 0, 0)
bAP = "Melhor X: " + str(ba) + "\nMelhor Y: " + str(by)
else:
# ---------------------------------------------------------------------------------------------------------------------------
if extAG == 'mk':
bestP, bestIndFit, mediumFit = AG(nap, extAG, ny, nx, limiar, interacoes, xt, yt, dx, dy, Lf, n, ph, pv, modelh, modelv, f, ptdb, gt, gr, py, px, 0, 0)
elif extAG == 'fi':
bestP, bestIndFit, mediumFit = AG(nap, extAG, ny, nx, limiar, interacoes, xt, yt, dx, dy, Lf, n, 0, 0, 0, 0, f, ptdb, gt, gr, py, px, valores, distancia)
else:
bestP, bestIndFit, mediumFit = AG(nap, extAG, ny, nx, limiar, interacoes, xt, yt, dx, dy, Lf, n, 0, 0, 0, 0, f, ptdb, gt, gr, py, px, 0, 0)
fig, ax = plt.subplots()
plt.plot(bestIndFit, label='Fitness do Melhor Indivíduo')
plt.plot(mediumFit, '-.', label='Fitness Média da População')
plt.title('Fitness ao Longo das Gerações')
plt.xlabel('Geração')
plt.ylabel('Fitness')
plt.yscale('symlog')
plt.legend(bbox_to_anchor=(0., 0.9, 1., .1), loc='center', ncol=2, borderaxespad=0)
path = 'static/img/indoor/AG/' + extAG + '/performance' + name + '.png'
plt.savefig(path)
bestX = []
bestY = []
for i in range(nap):
bestX.append(bestP[i * 2])
bestY.append(bestP[(i * 2) + 1])
fig, ax = plt.subplots()
if modelo[0] == 'M':
ax = plotarParedes(ax, ph, pv, modelh, modelv)
perda_f, non_cob = cobertura(bestX, bestY, extAG, ny, nx, nap, limiar, dx, dy, Lf, n, ph, pv, modelh, modelv, f, ptdb, gt, gr, py, px, 0, 0)
elif modelo[0] == 'F':
perda_f, non_cob = cobertura(bestX, bestY, extAG, ny, nx, nap, limiar, dx, dy, Lf, n, 0, 0, 0, 0, f, ptdb, gt, gr, py, px, valores, distancia)
else:
perda_f, non_cob = cobertura(bestX, bestY, extAG, ny, nx, nap, limiar, dx, dy, Lf, n, 0, 0, 0, 0, f, ptdb, gt, gr, py, px, 0, 0)
perda_f = np.asarray(perda_f) + gt + gr
ax.plot(bestX, bestY, 'o', color=cor)
plt.title("Melhor Perda pelo Modelo" + tit + "\nMelhor X: " + str(bestX) + "\nMelhor Y: " + str(bestY) + "\nCobertura de: " + str(100 - non_cob) + "%")
plt.imshow(perda_f,cmap='jet',extent=[0,xt,0,yt],origin='lower')
plt.colorbar(label="dB")
path = 'static/img/indoor/AG/' + extAG + '/perda' + name + '.png'
plt.savefig(path)
prmk = ptdb - np.asarray(perda_f)
fig, ax = plt.subplots()
if modelo[0] == 'M':
ax = plotarParedes(ax, ph, pv, modelh, modelv)
ax.plot(bestX, bestY, 'o', color=cor)
plt.title("Melhor Potência Recebida pelo " + tit)
plt.imshow(prmk,cmap='jet',extent=[0,xt,0,yt],origin='lower')
plt.colorbar(label="dBm")
path = 'static/img/indoor/AG/' + extAG + '/pr' + name + '.png'
plt.savefig(path)
divisor = np.power(10, noise/10) * constb * t * bmhz * 10**6
snrmk = np.asarray(prmk) - (10*np.log10(divisor) + 30)
fig, ax = plt.subplots()
if modelo[0] == 'M':
ax = plotarParedes(ax, ph, pv, modelh, modelv)
ax.plot(bestX, bestY, 'o', color=cor)
plt.title("Melhor SNR pelo Modelo " + tit)
plt.imshow(snrmk,cmap='jet',extent=[0,xt,0,yt],origin='lower')
plt.colorbar(label="dB")
path = 'static/img/indoor/AG/' + extAG + '/snr' + name + '.png'
plt.savefig(path)
itmk = np.power(10, ((np.asarray(prmk) + 20 * np.log10(f) + 77.2)/20)) * 0.000001
fig, ax = plt.subplots()
if modelo[0] == 'M':
ax = plotarParedes(ax, ph, pv, modelh, modelv)
ax.plot(bestX, bestY, 'o', color=cor)
plt.title("Melhor Intensidade pelo Modelo " + tit)
plt.imshow(itmk,cmap='jet',extent=[0,xt,0,yt],origin='lower', vmax = 1)
plt.colorbar(label="V/m")
path = 'static/img/indoor/AG/' + extAG + '/ce' + name + '.png'
plt.savefig(path)
ola = (10**((np.asarray(prmk))/10))
sinrmk = np.asarray(prmk) - (10*np.log10(divisor) + 30) - ola
fig, ax = plt.subplots()
if modelo[0] == 'M':
ax = plotarParedes(ax, ph, pv, modelh, modelv)
ax.plot(bestX, bestY, 'o', color=cor)
plt.title("Melhor SINR pelo Modelo " + tit)
plt.imshow(sinrmk,cmap='jet',extent=[0,xt,0,yt],origin='lower')
plt.colorbar(label="dB")
path = 'static/img/indoor/AG/' + extAG + '/sinr' + name + '.png'
plt.savefig(path)
cpmk = []
for i in range(ny):
cpmk.append([])
for i in range(ny):
for j in range(nx):
oi = bmhz * np.log2(1+((10**(sinrmk[i][j]/10))/1000))*10**-3
cpmk[i].append(10*np.log10(1000 * oi))
fig, ax = plt.subplots()
if modelo[0] == 'M':
ax = plotarParedes(ax, ph, pv, modelh, modelv)
ax.plot(bestX, bestY, 'o', color=cor)
plt.title("Melhor Capacidade pelo Modelo " + tit)
plt.imshow(cpmk,cmap='jet',extent=[0,xt,0,yt],origin='lower')
plt.colorbar(label="mbps")
path = 'static/img/indoor/AG/' + extAG + '/capacidade' + name + '.png'
plt.savefig(path)
bAP = "Melhor X: " + str(bestX) + "\nMelhor Y: " + str(bestY)
return render_template('fifth.html', maisalgo=maisalgo, bap=bAP, nameAG=name, semTomada=semTomada, extAG=extAG)
# ------------------------------------------------------------------------------------------------------------------------------------------------------------------
@app.route("/otiDown", methods=['GET', 'POST'])
def otidown():
if request.method == 'POST':
#try:
shutil.make_archive('ModeloOtimizado' + extAG, 'zip', 'static/img/indoor/AG/' + extAG)
path = 'ModeloOtimizado' + extAG + '.zip'
return send_file(path, as_attachment=True)
#except:
# return render_template('indexError.html')
return render_template('fifth.html')
@app.route("/otiDownTomada", methods=['GET', 'POST'])
def otidowntomada():
if request.method == 'POST':
try:
path = 'static/img/indoor/AG/' + extAG + '/otimizacaoTomada' + nomeAG + '.png'
return send_file(path, as_attachment=True)
except:
return render_template('indexError.html')
return render_template('fifth.html')
@app.route("/choose", methods=['GET', 'POST'])
def chooseEnviroment():
return render_template('second.html')
@app.route("/cenario", methods=['GET', 'POST'])
def openCenario():
return render_template('third.html')
@app.route("/downAmbiente", methods=['GET', 'POST'])
def downAmbiente():
path = "static/img/ambiente"
try:
os.mkdir(path)
except FileExistsError:
shutil.rmtree(path)
os.mkdir(path)
file = open(path + "/ambiente.txt","w")
file.write(request.form['texto'])
file.close()
return send_file(path + '/ambiente.txt', as_attachment=True)
@app.route("/outdoor", methods=['GET', 'POST'])
def hello2():
if request.method == 'POST':
global eccData
global costData
global suiData
global ciData
global fiData
global perda
global d
eccData = []
costData = []
suiData = []
ciData = []
fiData = []
perda = []
d = []
try:
f = float(request.form['freq'])
h = float(request.form['h'])
lat = float(request.form['lat'])
longg = float(request.form['long'])
ptdb = float(request.form['ptdb'])
#do = float(request.form['d0'])
gt = float(request.form['gt'])
gr = float(request.form['gr'])
file = request.files['myfile']
ambiente = request.form['nameAmbiente6']
if ambiente[0:8] == 'Cidade G':
mod = 1
elif ambiente[0:8] == 'Cidade M':
mod = 2
elif ambiente[0:8] == 'Cidade P':
mod = 3
filename = secure_filename(file.filename)
file.save(os.path.join(filename))
valores, campoeletrico, distancia = lerArquivo(filename, lat, longg)
do = min(distancia) * 1000
print(do)
if do < 1000:
Lf = 92.45 + 20 * np.log10(100) + 20 * np.log10(f/1000)
else:
Lf = 92.45 + 20 * np.log10(1000) + 20 * np.log10(f/1000)
n = nparaoutdoor(np.asarray(valores), np.asarray(distancia), ptdb, Lf)
except:
return render_template('indexError.html')
B = np.asarray(valores) # potencia recebida
pontos = distancia # distancia
D = 10 * np.log10(np.asarray(pontos))
Num = len(D)
divisor = ((sum(D))**2) - (Num * sum(D**2))
print("Lf: " + str(Lf))
alfaC = (sum(D) * sum(np.asarray(D) * B)) - (sum(D**2) * sum(B))
betaC = (sum(D) * sum(B)) - (Num * sum(np.asarray(D) * B))
alfa = alfaC / divisor
beta = betaC / divisor
for i in range(len(distancia)):
d.append(distancia[i])
perda.append(ptdb - valores [i])
fiData.append(ptdb - (alfa + 10 * beta * np.log10(distancia[i])) )
eccData.append(ECC(f, h, 1, distancia[i], mod))
costData.append(Cost231(f, h, 1, distancia[i], mod))
suiData.append(sui(f, h, 1, distancia[i], mod, distancia))
ciData.append(closein(Lf, n, distancia[i]))
alfa = (alfa * -1) + ptdb
beta = (beta * -1)
info = str(round(n, 2)) + " " + str(round(rmse(perda, suiData), 4)) + " " + str(round(rmse(perda, eccData), 4)) + " " + str(round(rmse(perda, costData), 4)) + " " + str(round(rmse(perda, ciData), 4)) + " " + str(round(rmse(perda, fiData), 4)) + " " + str(round(alfa, 2)) + " " + str(round(beta, 2))
return render_template('fourth.html', dist=d, val=perda, ecc=eccData, cost=costData, sui=suiData, ci=ciData, fi=fiData, info=info)
def nparaoutdoor(valores, distancia, ptdb, Lf):
D = 10 * np.log10(np.asarray(distancia) * 10)
A = (ptdb - np.asarray(valores)) - Lf
n = sum(D*A)/sum(D*D)
return n
@app.route("/down", methods=['GET', 'POST'])
def download():
if request.method == 'POST':
try:
plt.title("Comparação dos Modelos")
plt.ylabel("Perda - dB")
plt.xlabel("Distância - km")
plt.plot(d, perda, ".b", label = "Medidos")
plt.plot(d, suiData, ".y", label = "SUI")
plt.plot(d, eccData, ".r", label = "ECC33")
plt.plot(d, costData, ".g", label = "Cost231")
plt.plot(d, ciData, ".c", label = "Close IN")
plt.plot(d, fiData, "xr", label = "Floating Intercpt")
plt.legend()
plt.grid(True)
path = 'static/img/outdoor/outdoor.png'
plt.savefig(path)
except:
return render_template('indexError.html')
return send_file(path, as_attachment=True)
return render_template('fourth.html', dist=distancia, val=valores)
def calculanComGrafico(valores, distancia, LF, do):
'''
n = Symbol('n')
valor = []
fim = []
derivada = []
for i in range(len(distancia)):
valor.append(valores[np.argmin(distancia)] - 10 * n * np.log10(distancia[i]/min(distancia)))
if valor[-1] != 0:
fim.append((-1*(valor[i] - valores[i]))**2)
for i in fim:
derivada.append(diff(i, n))
soma = 0
for i in derivada:
soma += i
'''
ab = []
for alt in distancia:
ab.append(alt * 1000)
D = 10 * np.log10(ab)
A = (15 - np.asarray(valores) - 6) + LF# lembrar de trocar o 15 por ptdb
print(A)
n = sum(D*A)/sum(D*D)
#n = solve(soma)[0]
#print(soma)
# A partir daki é só pra fazer esse gráfico
#n = 2
d1 = [do, do + do/2, do + do/3]
Ln1 = []
Ln2 = []
Ln3 = []
Ln4 = []
Ln5 = []
Lnn = []
for i in d1:
Ln1.append(LF + 10 * np.log10(i/do))
Ln2.append(LF + 10 * 2 * np.log10(i/do))
Ln3.append(LF + 10 * 3 * np.log10(i/do))
Ln4.append(LF + 10 * 4 * np.log10(i/do))
Ln5.append(LF + 10 * 5 * np.log10(i/do))
Lnn.append(LF + 10 * n * np.log10(i/do))
fig,ax = plt.subplots()
plt.xlabel('Distância - m', size=15)
plt.ylabel('Perda de Percurso - dB', size=15)
title = "Valor do Expoente de Atenuação"
plt.title(title, size=15)
legenda = "n = " + str(n)#str(round(n,2))
plt.semilogx(d1,Ln5,'.k', label="n = 5")
plt.semilogx(d1,Ln4,'.k', label="n = 4")
plt.semilogx(d1,Ln3,'.k', label="n = 3")
plt.semilogx(d1,Ln2,'.k', label="n = 2")
plt.semilogx(d1,Ln1,'.k', label="n = 1")
plt.semilogx(d1,Lnn,'or', label=legenda)
plt.legend(prop={'size':8})
path = 'static/img/indoor/calculon.png'
plt.savefig(path)
return path, n, Ln5, Ln4, Ln3, Ln2, Ln1, Lnn, d1
def plotarParedes(ax, ph, pv, modelh, modelv):
for i in range(len(ph)):
if modelh[i] == 1:
l = Line2D(ph[i][0], ph[i][1], color="purple", linewidth=4)
ax.add_line(l)
elif modelh[i] == 2:
l = Line2D(ph[i][0], ph[i][1], color="green", linewidth=3)
ax.add_line(l)
elif modelh[i] == 3:
l = Line2D(ph[i][0], ph[i][1], color="black", linewidth=4)
ax.add_line(l)
else:
print("Valor de parede indefinido")
for i in range(len(pv)):
if modelv[i] == 1:
l = Line2D(pv[i][0], pv[i][1], color="purple", linewidth=4)
ax.add_line(l)
elif modelv[i] == 2:
l = Line2D(pv[i][0], pv[i][1], color="green", linewidth=3)
ax.add_line(l)
elif modelv[i] == 3:
l = Line2D(pv[i][0], pv[i][1], color="black", linewidth=4)
ax.add_line(l)
else:
print("Valor de parede indefinido")
return ax
def comparar(distancia, do, f, Lf, n, ptdb, valores, gt, gr, nITU, nMK):
itu = []
fi = []
mk = []
ci = []
print (Lf)
B = np.asarray(valores) + (gt + gr) # potencia recebida
pontos = distancia # distancia
D = 10 * np.log10(np.asarray(pontos))
Num = len(D)
divisor = ((sum(D))**2) - (Num * sum(D**2))
alfaC = (sum(D) * sum(np.asarray(D) * B)) - (sum(D**2) * sum(B))
betaC = (sum(D) * sum(B)) - (Num * sum(np.asarray(D) * B))
alfa = alfaC / divisor
beta = betaC / divisor
#print(alfa)
#print(beta)
dis = np.arange(1, max(distancia) + 1)
drmse = np.zeros(int(np.ceil(max(distancia))))
numeros = np.zeros(int(np.ceil(max(distancia))))
for i in dis:
#print(i)
itu.append(20 * np.log10(f) + nITU * 10 * np.log10(i) - 28) #itu
fi.append(ptdb - (alfa + 10 * beta * np.log10(i)))
mk.append(Lf + 10 * nMK * np.log10(i/do)) #MK
ci.append(Lf + 10 * n * np.log10(i)) #ci
# Floating Interception FI
for i, v in enumerate(distancia):
drmse[int(v) - 1] += ptdb - np.asarray(valores[i]) - (gt + gr)
numeros[int(v) - 1] += 1
for i in range(len(numeros)):
drmse[i] = drmse[i]/numeros[i]
o = ptdb - np.asarray(valores) - (gt + gr)
#dis = []
#for d in distancia:
# dis.append(d)
fig,ax = plt.subplots()
plt.xlabel('Distância - m', size=15)
plt.ylabel('Perda de Percurso - dB', size=15)
plt.title('Predição da Perda de Percurso', size=15)
plt.plot(distancia, o, 'or', label='Dados Medidos')
plt.plot(dis, itu, '*b', label='ITU')
plt.plot(dis, fi, '*k', label='Floating Interception')
plt.plot(dis, ci, '*y', label='Close In')
plt.plot(dis, mk, '*c', label='Motley Keenan')
plt.legend()
alfa = (alfa * -1) + ptdb
beta = (beta * -1)
path = 'static/img/indoor/comparacao.png'
plt.grid(True)
plt.savefig(path)
return path, itu, ci, mk, drmse, fi, alfa, beta
def rmse(medido, predito):
if len(medido) != len(predito):
print("vetores tem tamanho diferente")
return
soma = 0
for i in range(len(medido)):
soma += np.sqrt(int((medido[i] - predito[i])**2))
return soma / len(medido)
def lerArquivo(arquivo, l1, l2):
valores = []
campoeletrico = []
distancia = []
file = open(arquivo, "r", encoding="utf8")
for line in file:
if float(line.split(" ")[2]) != 0:
valores.append(float(line.split(" ")[0]))
campoeletrico.append(float(line.split(" ")[1]))
distancia.append(calculadistancia(float(line.split(" ")[2]), float(line.split(" ")[3]), l1, l2))
return valores, campoeletrico, distancia
def lerArquivoIndoor(arquivo, l1, l2):
valores = []
campoeletrico = []
distancia = []
file = open(arquivo, "r")
for line in file:
valores.append(float(line.split(" ")[0]))
campoeletrico.append(float(line.split(" ")[1]))
distancia.append(euclidiana([float(line.split(" ")[2]), float(line.split(" ")[3])], [l1, l2]))
return valores, campoeletrico, distancia
def rp(lista):
l = []
for i in lista:
if i not in l:
l.append(i)
l.sort()
return l
def calculan(valores, distancia):
ab = []
for alt in distancia:
ab.append(alt * 1000)
D = 10 * np.log10(ab)
A = 15 - np.asarray(valores) # lembrar de trocar o 15 por ptdb
n = sum(D*A)/sum(D*D)
'''
n = Symbol('n')
valor = []
fim = []
derivada = []
for i in range(len(distancia)):
#print(min(distancia))
valor.append(valores[np.argmin(distancia)] - 10 * n * np.log10(distancia[i]/min(distancia)))
if valor[-1] != 0:
fim.append((-1*(valor[i] - valores[i]))**2)
for i in fim:
derivada.append(diff(i, n))
soma = 0
for i in derivada:
soma += i
n = solve(soma)[0]
print(soma)
'''
return n
def euclidiana(v1, v2):
v1, v2 = np.array(v1), np.array(v2)
diff = v1 - v2
quad_dist = np.dot(diff, diff)
return np.power(quad_dist, 1/2)
def ECC(f, txh, rxh, d, mode):
if(txh - rxh < 0):
rxh = rxh/(d/2)
f = f / 1000
gr = 0.789 * rxh - 1.862 # para cidades grandes
afs = 92.4 + 20 * np.log10(d) + 20 * np.log10(f)
abm = 20.41 + 9.83 * np.log10(d) + 7.894 * np.log10(f) + 9.56 * (np.log10(f) * np.log10(f))
gb = np.log10(txh/200) * (13.958 + 5.8 * (np.log10(d) * np.log10(d)))
if(mode > 1): #para cidades medias
gr = (42.57 + 13.7 * np.log(f)) * (np.log10(rxh) - 0.585)
return afs + abm - gb - gr
def Cost231(f, txh, rxh, d, mode):
c= 3 # para ambiente urbano
lrxh = np.log10(11.75 * rxh)
c_h = 3.2 * (lrxh * lrxh) - 4.97 # cidade grande
c0 = 69.55
cf = 26.16
if f > 1500:
c0 = 46.3
cf = 33.9
if mode == 2: # cidade media
c = 0