From 6f04500b902e2c7e3a81f9df0133db2e6214b247 Mon Sep 17 00:00:00 2001 From: Peter Drewelow <peter.drewelow@ipp.mpg.de> Date: Thu, 2 May 2019 18:59:21 +0200 Subject: [PATCH] downloadversionIRdata: modifications to download_heatflux_mapping_reference() - The points of the vertical target in 'X' and 'Y' get now shifted and rotated to appear on top of the horizontal target in order to avaoid overlap when plotting. - Added new boolean peremter 'get_thickness=False' triggers optional calculation of distance of profile points to adjacent profiles. This is used to derive a thickness of the profile at each point for integration of heat loads. --- downloadversionIRdata.py | 83 +++++++++++++++++++++++++++++++++++++++- 1 file changed, 81 insertions(+), 2 deletions(-) diff --git a/downloadversionIRdata.py b/downloadversionIRdata.py index aaa82ae..f7128be 100644 --- a/downloadversionIRdata.py +++ b/downloadversionIRdata.py @@ -2644,7 +2644,8 @@ def download_heatflux_by_times(port,tstart,tend,time_window=0,threads=1,testmode print("download_heatflux_by_times: heat flux calculation request logged for automatic processing (within ca. 1 day)") return exist,time,frames -def download_heatflux_mapping_reference(timepoint=None,version=0,testmode=False,verbose=0): +def download_heatflux_mapping_reference(timepoint=None,version=0,testmode=False, + get_thickness=False, verbose=0): """ return exist(boolean) and dictonary of the mappings informations """ @@ -2663,7 +2664,7 @@ def download_heatflux_mapping_reference(timepoint=None,version=0,testmode=False, # version=get_latest_version("QRT_IRCAM_Test/Mapping_reference_Test_1_PARLOG",project=project_ana,Test=testmode) # larchivepath=base+project_ana+"/QRT_IRCAM_Test/Mapping_reference_Test_1_DATASTREAM/V"+str(version)+"/0/reference" ### end of testsample ### - exist,time,frames=download_images_by_times(larchivepath,starttime=timepoint,stoptime=int(timepoint+1e9),version=version,verbose=verbose) + exist,time,frames=download_images_by_times(larchivepath,starttime=timepoint,stoptime=int(timepoint+1e9),version=version,verbose=verbose-1) mappings={} if exist: mappings['s']=frames[0] @@ -2673,6 +2674,84 @@ def download_heatflux_mapping_reference(timepoint=None,version=0,testmode=False, mappings['Finger_Y']=frames[4] mappings['Finger_ID']=(frames[5],"legend: first three digits are fingernumber,starting @0, last two are the profile number") mappings['Target']=(frames[6],{1:"TM1-4h",2:"TM5-6h",3:"TM7-9h",4:"TM1-3v"}) + + # derive thickness of profile line (for integration) + if get_thickness: + profile_no = mappings['Finger_ID'][0] + profile_ID = np.unique(profile_no) + profile_ID = profile_ID[:np.where(np.isnan(profile_ID))[0][0]] + profile_ID = profile_ID.astype(np.int16) + + d = np.zeros(np.shape(mappings['s'])) + for i_profile in profile_ID: + x_f = mappings['Finger_X'][np.where(profile_no==i_profile)] + y_f = mappings['Finger_Y'][np.where(profile_no==i_profile)] + if i_profile-1 not in profile_ID: + # i_profile is first profile of finger + # + # thickness of this profile at each point [x_f,y_f] is equal to + # the distance to the next line from [x1, y1] to [x2, y2] + # https://en.wikipedia.org/wiki/Distance_from_a_point_to_a_line + x_f_next = mappings['Finger_X'][np.where(profile_no==i_profile+1)] + x1 = x_f_next[0] + x2 = x_f_next[-1] + y_f_next = mappings['Finger_Y'][np.where(profile_no==i_profile+1)] + y1 = y_f_next[0] + y2 = y_f_next[-1] + d[np.where(profile_no==i_profile)] = \ + abs((y2-y1)*x_f - (x2-x1)*y_f + x2*y1 - y2*x1) / np.sqrt((y2-y1)**2 + (x2-x1)**2) + elif i_profile+1 not in profile_ID: + # i_profile is last profile of finger + # + # thickness of this profile at each point [x_f,y_f] is equal to + # the distance to the previous line from [x1, y1] to [x2, y2] + # https://en.wikipedia.org/wiki/Distance_from_a_point_to_a_line + x_f_prev = mappings['Finger_X'][np.where(profile_no==i_profile-1)] + x1 = x_f_prev[0] + x2 = x_f_prev[-1] + y_f_prev = mappings['Finger_Y'][np.where(profile_no==i_profile-1)] + y1 = y_f_prev[0] + y2 = y_f_prev[-1] + d[np.where(profile_no==i_profile)] = \ + abs((y2-y1)*x_f - (x2-x1)*y_f + x2*y1 - y2*x1) / np.sqrt((y2-y1)**2 + (x2-x1)**2) + else: + # a previous and next profile line exists on this finger + # + # thickness of this profile at each point [x_f,y_f] is the sum + # of half the distance to the previous line from [x1_p, y1_p] to [x2_p, y2_p] + # and half the distance to the next line from [x1_n, y1_n] to [x2_n, y2_n] + # https://en.wikipedia.org/wiki/Distance_from_a_point_to_a_line + x_f_prev = mappings['Finger_X'][np.where(profile_no==i_profile-1)] + x1_p = x_f_prev[0] + x2_p = x_f_prev[-1] + y_f_prev = mappings['Finger_Y'][np.where(profile_no==i_profile-1)] + y1_p = y_f_prev[0] + y2_p = y_f_prev[-1] + x_f_next = mappings['Finger_X'][np.where(profile_no==i_profile+1)] + x1_n = x_f_next[0] + x2_n = x_f_next[-1] + y_f_next = mappings['Finger_Y'][np.where(profile_no==i_profile+1)] + y1_n = y_f_next[0] + y2_n = y_f_next[-1] + d[np.where(profile_no==i_profile)] = \ + abs((y2_p-y1_p)*x_f - (x2_p-x1_p)*y_f + x2_p*y1_p - y2_p*x1_p) / np.sqrt((y2_p-y1_p)**2 + (x2_p-x1_p)**2) /2 + \ + abs((y2_n-y1_n)*x_f - (x2_n-x1_n)*y_f + x2_n*y1_n - y2_n*x1_n) / np.sqrt((y2_n-y1_n)**2 + (x2_n-x1_n)**2) /2 + mappings['thickness'] = d + if verbose>0: + print("download_heatflux_mapping_reference: 'thickness' of profiles added to mapping reference dictionary") + + # shift vertical target in X and Y if it is centered on top of horizontal target + index_ver = np.where(mappings['Target'][0]==4) + X = mappings['X'] + Y = mappings['Y'] + if abs(np.nanmean(mappings['X'][index_ver])) < 0.015 and abs(np.nanmean(mappings['Y'][index_ver])) < 0.01: + x1 = X[index_ver] + y1 = Y[index_ver] + X[index_ver] = np.cos(22.5/180*np.pi)*x1 + np.sin(22.5/180*np.pi)*y1 - 0.9 + Y[index_ver] = -np.sin(22.5/180*np.pi)*x1 + np.cos(22.5/180*np.pi)*y1 + 0.7 + if verbose>0: + print("download_heatflux_mapping_reference: vertical target moved and rotated in 'X' and 'Y' for better plotting") + return exist,mappings def download_heatflux_scene_model_reference(port,timepoint=None,program=None,version=0,testmode=False,verbose=0): -- GitLab