def gui_main_image():
nSSU = myglobals.nSSU
SensorGroup = init_sensors(nSSU)
nSource = myglobals.nSource
SourceGroup = init_sources(nSource)
CU = [0]
CU[0] = LCEngine()
CU[0].SensorGroup = SensorGroup
CU[0].source = SourceGroup[0]
CU[0].update_pairwise_distance()
clusterConfig = np.array([1, 1])
ClusterGroup = create_clusters(clusterConfig)
CU[0].Clust = ClusterGroup[0]
globalEngine = GCEngine()
globalEngine.assign_LCE(CU)
globalEngine.SourceGroup = SourceGroup[0]
globalEngine.ClusterGroup = ClusterGroup
#
globalEngine.initialize_database()
#
try:
# =================================
map = globalEngine.get_heat_map()
globalEngine.Data.add_new_frame(map)
Img0 = globalEngine.Data.get_background()
plt.figure(2)
plt.imshow(Img0, interpolation='nearest')
# nn=nn+1
plt.pause(0.3)
except:
pass
from SSN_modul.Init_sensors import init_sensors from SSN_modul.LCEngine import LCEngine from SSN_modul.init_Sources import init_sources from SSN_modul.Create_clusters import create_clusters from SSN_modul.GCEngine import GCEngine #================================= #nn=0 # allow_key_commands = 1 # while allow_key_commands:#nn<3: sources_loc=[[3,4],[5,2.5],[8,1]] #myglobals.loc_source=sources_loc[nn] myglobals.loc_source = sources_loc[0] nSSU = myglobals.nSSU nSource = myglobals.nSource SensorGroup = init_sensors(nSSU) SourceGroup = init_sources(nSource) CU = [0] CU[0] = LCEngine() CU[0].SensorGroup = SensorGroup CU[0].source = SourceGroup[0] CU[0].update_pairwise_distance() clusterConfig = np.array([1, 1]) ClusterGroup = create_clusters(clusterConfig) CU[0].Clust = ClusterGroup[0] globalEngine = GCEngine() globalEngine.assign_LCE(CU) globalEngine.SourceGroup = SourceGroup[0] globalEngine.ClusterGroup = ClusterGroup
def clickMe1():
print('imaging...')
global CUaction
CUaction.Hold = 0
CUaction.Start = 1
CUaction.Quit = 0
# read input from gui
myglobals.nSSU = num.get()
myglobals.loc_source = [x.get(), y.get()]
if myglobals.nSSU == 0:
myglobals.nSSU = 30
myglobals.loc_source = [5, 2.4]
#-----
CU = [0]
CU[0] = LCEngine()
clusterConfig = np.array([1, 1])
ClusterGroup = create_clusters(clusterConfig)
CU[0].Clust = ClusterGroup[0]
globalEngine = GCEngine()
globalEngine.ClusterGroup = ClusterGroup
#
globalEngine.initialize_database()
#
nSSU = myglobals.nSSU
SensorGroup = init_sensors(nSSU)
nSource = myglobals.nSource
SourceGroup = init_sources(nSource)
CU[0].SensorGroup = SensorGroup
CU[0].source = SourceGroup[0]
CU[0].update_pairwise_distance()
globalEngine.assign_LCE(CU)
globalEngine.SourceGroup = SourceGroup[0]
#-----
def receive_sen_power():
rece = 1
while rece:
rece = rece + 1
print('receive:', rece)
if CUaction.Quit == 1:
myglobals.senpow = []
break
elif CUaction.Hold == 1:
myglobals.senpow = []
break
elif CUaction.Start == 1:
# ----------------------------------------------------------generate model
globalEngine.LCEGroup[0].updata_source_loc()
globalEngine.updata_sourceloc()
prx = globalEngine.LCEGroup[0].receive_senpow()
myglobals.senpow.append(prx)
time.sleep(1)
def kriging_image():
ima = 1
while ima:
ima = ima + 1
print('ima:', ima)
if CUaction.Quit == 1:
myglobals.senpow = []
break
elif CUaction.Hold == 1:
myglobals.senpow = []
break
elif CUaction.Start == 1:
# ----------------------------------------------------------generate model
try:
# =================================get data for image
map = globalEngine.get_heat_map()
globalEngine.Data.add_new_frame(map)
Img0 = globalEngine.Data.get_background()
loc_sen = globalEngine.SensorLoc
# -------------------------------------------------
fig.clf()
axis1 = fig.add_subplot(131)
pic = axis1.imshow(Img0,
origin='lower',
interpolation='nearest')
fig.colorbar(pic)
axis1.set_title('Radio Environment Map')
axis1.set_xlabel('X[pixel]')
axis1.set_ylabel('Y[pixel]')
# print('---------------------------------')
# axis0.draw()
# -------------------------------------------------
axis2 = fig.add_subplot(133)
axis2.scatter(loc_sen[:, 1].T / myglobals.PixelResolution,
loc_sen[:, 0].T / myglobals.PixelResolution,
color='b')
axis2.scatter(globalEngine.SourceGroup.Loc[1] /
myglobals.PixelResolution,
globalEngine.SourceGroup.Loc[0] /
myglobals.PixelResolution,
color='r')
# loes = np.argwhere(Img0 == np.max(Img0))[0]
# print('estimate source location',loes)
# axis2.scatter(loes[1],loes[0],color='g')
axis2.set_title('Simulation Environment')
axis2.set_xlabel('X[pixel]')
axis2.set_ylabel('Y[pixel]')
axis2.set_xlim(0, 10)
axis2.set_ylim(0, 20)
axis0.draw()
#plt.pause(0.2)
except:
pass
# ----------------------------------------------------------
t = threading.Thread(name='receive senpow', target=receive_sen_power)
w = threading.Thread(name='worker', target=kriging_image)
t.start()
w.start()
print('over')
def clickMe1():
global CUaction
CUaction.Hold = 0
CUaction.Start = 1
CUaction.Quit = 0
# read input from gui
myglobals.nSSU = num.get()
myglobals.loc_source = [x.get(), y.get()]
if myglobals.nSSU == 0:
myglobals.nSSU = 30
myglobals.loc_source = [5, 2.4]
#-----
CU = [0]
CU[0] = LCEngine()
clusterConfig = np.array([1, 1])
ClusterGroup = create_clusters(clusterConfig)
CU[0].Clust = ClusterGroup[0]
globalEngine = GCEngine()
globalEngine.ClusterGroup = ClusterGroup
#
globalEngine.initialize_database()
#
nSSU = myglobals.nSSU
SensorGroup = init_sensors(nSSU)
nSource = myglobals.nSource
SourceGroup = init_sources(nSource)
CU[0].SensorGroup = SensorGroup
CU[0].source = SourceGroup[0]
CU[0].update_pairwise_distance()
globalEngine.assign_LCE(CU)
globalEngine.SourceGroup = SourceGroup[0]
#-----
command = 1
while command:
print(command)
command = command + 1
if CUaction.Quit == 1:
break
elif CUaction.Hold == 1:
break
elif CUaction.Start == 1:
print('imaging...')
# ----------------------------------------------------------generate model
globalEngine.LCEGroup[0].updata_source_loc()
globalEngine.updata_sourceloc()
print('sensorlocation', globalEngine.SourceGroup.Loc)
try:
# =================================get data for image
map = globalEngine.get_heat_map()
globalEngine.Data.add_new_frame(map)
Img0 = globalEngine.Data.get_background()
loc_sen = globalEngine.SensorLoc
#-------------------------------------------------
fig.clf()
axis1 = fig.add_subplot(131)
pic = axis1.imshow(Img0,
origin='lower',
interpolation='nearest')
fig.colorbar(pic)
axis1.set_title('Radio Environment Map')
axis1.set_xlabel('X[pixel]')
axis1.set_ylabel('Y[pixel]')
#-------------------------------------------------
axis2 = fig.add_subplot(133)
axis2.scatter(loc_sen[:, 1].T / myglobals.PixelResolution,
loc_sen[:, 0].T / myglobals.PixelResolution)
axis2.scatter(
globalEngine.SourceGroup.Loc[1] /
myglobals.PixelResolution,
globalEngine.SourceGroup.Loc[0] /
myglobals.PixelResolution)
axis2.set_title('Simulation Environment')
axis2.set_xlabel('X[pixel]')
axis2.set_ylabel('Y[pixel]')
axis2.set_xlim(0, 10)
axis2.set_ylim(0, 20)
axis0.draw()
plt.pause(0.2)
except:
pass