From 911c61c00a55487b7b8e79b322a5238fae187940 Mon Sep 17 00:00:00 2001 From: s_ranjbar Date: Wed, 10 Jul 2024 09:40:57 -0400 Subject: [PATCH] feat: updating data and code --- .idea/inspectionProfiles/Project_Default.xml | 30 ++ .../inspectionProfiles/profiles_settings.xml | 6 + .idea/misc.xml | 4 + .idea/vcs.xml | 6 + .idea/workspace.xml | 217 +++++++++++++ 06-25_07-07.csv | 303 ++++++++++++++++++ daily_plots.py | 10 +- double_y.py | 54 +++- double_y_daily.py | 33 +- main.py | 12 +- q_calculation.py | 27 +- 11 files changed, 654 insertions(+), 48 deletions(-) create mode 100644 .idea/inspectionProfiles/Project_Default.xml create mode 100644 .idea/inspectionProfiles/profiles_settings.xml create mode 100644 .idea/misc.xml create mode 100644 .idea/vcs.xml create mode 100644 .idea/workspace.xml diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml new file mode 100644 index 0000000..b0ba7a0 --- /dev/null +++ b/.idea/inspectionProfiles/Project_Default.xml @@ -0,0 +1,30 @@ + + + + \ No newline at end of file diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml new file mode 100644 index 0000000..105ce2d --- /dev/null +++ b/.idea/inspectionProfiles/profiles_settings.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git a/.idea/misc.xml b/.idea/misc.xml new file mode 100644 index 0000000..dc9ea49 --- /dev/null +++ b/.idea/misc.xml @@ -0,0 +1,4 @@ + + + + \ No newline at end of file diff --git a/.idea/vcs.xml b/.idea/vcs.xml new file mode 100644 index 0000000..35eb1dd --- /dev/null +++ b/.idea/vcs.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/.idea/workspace.xml b/.idea/workspace.xml new file mode 100644 index 0000000..066038e --- /dev/null +++ b/.idea/workspace.xml @@ -0,0 +1,217 @@ + + + + + + + + + + + + + + + + + + + + { + "associatedIndex": 6 +} + + + + { + "keyToString": { + "RunOnceActivity.OpenProjectViewOnStart": "true", + "RunOnceActivity.ShowReadmeOnStart": "true", + "WebServerToolWindowFactoryState": "false", + "last_opened_file_path": "C:/Users/umroot/PycharmProjects/coniston", + "node.js.detected.package.eslint": "true", + "node.js.detected.package.tslint": "true", + "node.js.selected.package.eslint": "(autodetect)", + "node.js.selected.package.tslint": "(autodetect)", + "settings.editor.selected.configurable": "com.jetbrains.python.configuration.PyActiveSdkModuleConfigurable", + "vue.rearranger.settings.migration": "true" + } +} + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 1720361595188 + + + + + + + + + + + + + \ No newline at end of file diff --git a/06-25_07-07.csv b/06-25_07-07.csv index 67d79f2..f1dcaaa 100644 --- a/06-25_07-07.csv +++ b/06-25_07-07.csv @@ -3434,3 +3434,306 @@ Date/Time (UTC),Date/Time (--4:0:0),Sewer Water In,Sewer Water Out,Return Air,Su 7/7/2024 11:42,7/7/2024 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8:14,64.274366,64.706148,70.405677,70.57839 +7/8/2024 12:19,7/8/2024 8:19,64.360722,64.749326,70.535211,70.362498 +7/8/2024 12:24,7/8/2024 8:24,64.317544,64.835683,70.492033,70.621568 +7/8/2024 12:29,7/8/2024 8:29,64.490257,64.66297,70.492033,70.621568 +7/8/2024 12:34,7/8/2024 8:34,64.447079,64.533435,70.448855,70.621568 +7/8/2024 12:39,7/8/2024 8:39,64.447079,64.66297,70.57839,70.57839 +7/8/2024 12:44,7/8/2024 8:44,64.317544,64.66297,70.57839,70.57839 +7/8/2024 12:49,7/8/2024 8:49,64.533435,64.447079,70.448855,70.57839 +7/8/2024 12:54,7/8/2024 8:54,64.447079,64.66297,70.405677,70.448855 +7/8/2024 12:59,7/8/2024 8:59,64.447079,64.706148,70.535211,70.362498 +7/8/2024 13:04,7/8/2024 9:04,64.447079,64.749326,70.751102,70.751102 diff --git a/daily_plots.py b/daily_plots.py index 365553c..c41d556 100644 --- a/daily_plots.py +++ b/daily_plots.py @@ -29,13 +29,13 @@ for day in pd.Index(data.index.date).unique(): fig = go.Figure() fig.add_trace(go.Scatter(x=day_data.index, y=day_data['Sewer Water In Smooth'], mode='lines', name='Sewer Water In', - line=dict(shape='spline', color='blue', width=4, dash='solid'))) + line=dict(shape='spline', color='blue', width=2, dash='solid'))) fig.add_trace(go.Scatter(x=day_data.index, y=day_data['Sewer Water Out Smooth'], mode='lines', name='Sewer Water Out', - line=dict(shape='spline', color='red', width=4, dash='solid'))) + line=dict(shape='spline', color='red', width=2, dash='solid'))) fig.add_trace(go.Scatter(x=day_data.index, y=day_data['Return Air Smooth'], mode='lines', name='Return Air', - line=dict(shape='spline', color='orange', width=4, dash='solid'))) + line=dict(shape='spline', color='orange', width=2, dash='solid'))) fig.add_trace(go.Scatter(x=day_data.index, y=day_data['Supply Air Smooth'], mode='lines', name='Supply Air', - line=dict(shape='spline', color='green', width=4, dash='solid'))) + line=dict(shape='spline', color='green', width=2, dash='solid'))) fig.update_layout( title=dict( @@ -60,6 +60,6 @@ for day in pd.Index(data.index.date).unique(): ) # Save the plot (requires kaleido package) - fig.write_image(f'plotly_plot_{day}.png') + fig.write_image(f'temperature_variations_without_Q_{day}.png') diff --git a/double_y.py b/double_y.py index 5b34abb..764f421 100644 --- a/double_y.py +++ b/double_y.py @@ -1,44 +1,64 @@ import pandas as pd -import plotly.graph_objects as go -from plotly.subplots import make_subplots -# Load the data (assuming you've already loaded and processed it as shown) +# Load the data data = pd.read_csv('06-25_07-07.csv') -# Calculation of Q (BTU / lb) -data['Q (BTU/lb)'] = data['Sewer Water Out'] - data['Sewer Water In'] - # Convert 'Date/Time (--4:0:0)' column to datetime data['Date/Time (--4:0:0)'] = pd.to_datetime(data['Date/Time (--4:0:0)']) +# Calculate the time difference between consecutive points in minutes +data['Time Diff (min)'] = data['Date/Time (--4:0:0)'].diff().dt.total_seconds() / 60 + +# Set flow rate and specific heat capacity +flow_rate_gpm = 10 +density_water = 62.4 # lbm/ft^3 +flow_rate_lbm_min = flow_rate_gpm * 0.133681 * density_water # Convert GPM to lbm/min + +# Calculate Q (BTU) +cp_water = 1 # BTU/lbm°F +data['Delta T (F)'] = data['Sewer Water Out'] - data['Sewer Water In'] +data['Q (BTU)'] = flow_rate_lbm_min * cp_water * data['Delta T (F)'] * data['Time Diff (min)'] + # Apply a smoothing function (moving average) window_size = 10 data['Sewer Water In Smooth'] = data['Sewer Water In'].rolling(window=window_size, center=True).mean() data['Sewer Water Out Smooth'] = data['Sewer Water Out'].rolling(window=window_size, center=True).mean() data['Return Air Smooth'] = data['Return Air'].rolling(window=window_size, center=True).mean() data['Supply Air Smooth'] = data['Supply Air'].rolling(window=window_size, center=True).mean() -data['Q Smooth'] = data['Q (BTU/lb)'].rolling(window=window_size, center=True).mean() +data['Q Smooth'] = data['Q (BTU)'].rolling(window=window_size, center=True).mean() + +# Plotting the data +import plotly.graph_objects as go +from plotly.subplots import make_subplots + fig = make_subplots(rows=1, cols=1, shared_xaxes=True, vertical_spacing=0.1, - subplot_titles=(f'Temperature Variations and Transferred Heat from 25/06/2024-07/07/2024',), - specs=[[{"secondary_y": True}]]) + subplot_titles=('Temperature Variations and Transferred Heat from 25/06/2024-08/07/2024',), + specs=[[{"secondary_y": True}]]) + fig.add_trace(go.Scatter(x=data['Date/Time (--4:0:0)'], y=data['Sewer Water In Smooth'], mode='lines', name='Sewer Water In', - line=dict(shape='spline', color='blue', width=4, dash='solid')), secondary_y=False) + line=dict(shape='spline', color='blue', width=2, dash='solid')), secondary_y=False) fig.add_trace(go.Scatter(x=data['Date/Time (--4:0:0)'], y=data['Sewer Water Out Smooth'], mode='lines', name='Sewer Water Out', - line=dict(shape='spline', color='red', width=4, dash='solid')), secondary_y=False) + line=dict(shape='spline', color='red', width=2, dash='solid')), secondary_y=False) fig.add_trace(go.Scatter(x=data['Date/Time (--4:0:0)'], y=data['Return Air Smooth'], mode='lines', name='Return Air', - line=dict(shape='spline', color='orange', width=4, dash='solid')), secondary_y=False) + line=dict(shape='spline', color='orange', width=2, dash='solid')), secondary_y=False) fig.add_trace(go.Scatter(x=data['Date/Time (--4:0:0)'], y=data['Supply Air Smooth'], mode='lines', name='Supply Air', - line=dict(shape='spline', color='green', width=4, dash='solid')), secondary_y=False) -fig.add_trace(go.Scatter(x=data['Date/Time (--4:0:0)'], y=data['Q Smooth'], mode='lines', name='Transferred Heat (BTU/lb)', - line=dict(shape='spline', color='purple', width=4, dash='solid')), secondary_y=True) -# Update layout + line=dict(shape='spline', color='green', width=2, dash='solid')), secondary_y=False) +fig.add_trace(go.Scatter(x=data['Date/Time (--4:0:0)'], y=data['Q Smooth'], mode='lines', name='Transferred Heat (BTU)', + line=dict(shape='spline', color='purple', width=2, dash='solid')), secondary_y=True) + +# Update layout with secondary y-axis title fig.update_layout( xaxis_title='Date/Time', yaxis_title='Temperature (F)', + yaxis2_title='Transferred Heat (BTU)', legend_title_text='Legend', font=dict(size=14), width=1400, height=800 ) + # Save the plot (requires kaleido package) -fig.write_image('plotly_plot_with_q.png') \ No newline at end of file +fig.write_image('temperature_variations_with_q.png') + +# Display the plot +fig.show() \ No newline at end of file diff --git a/double_y_daily.py b/double_y_daily.py index ccfb855..69394a3 100644 --- a/double_y_daily.py +++ b/double_y_daily.py @@ -2,22 +2,32 @@ import pandas as pd import plotly.graph_objects as go from plotly.subplots import make_subplots -# Load the data (assuming you've already loaded and processed it as shown) +# Load the data data = pd.read_csv('06-25_07-07.csv') -# Calculation of Q (BTU / lb) -data['Q (BTU/lb)'] = data['Sewer Water Out'] - data['Sewer Water In'] - # Convert 'Date/Time (--4:0:0)' column to datetime data['Date/Time (--4:0:0)'] = pd.to_datetime(data['Date/Time (--4:0:0)']) +# Calculate the time difference between consecutive points in minutes +data['Time Diff (min)'] = data['Date/Time (--4:0:0)'].diff().dt.total_seconds() / 60 + +# Set flow rate and specific heat capacity +flow_rate_gpm = 10 +density_water = 62.4 # lbm/ft^3 +flow_rate_lbm_min = flow_rate_gpm * 0.133681 * density_water # Convert GPM to lbm/min + +# Calculate Q (BTU) +cp_water = 1 # BTU/lbm°F +data['Delta T (F)'] = data['Sewer Water Out'] - data['Sewer Water In'] +data['Q (BTU)'] = flow_rate_lbm_min * cp_water * data['Delta T (F)'] * data['Time Diff (min)'] + # Apply a smoothing function (moving average) window_size = 10 data['Sewer Water In Smooth'] = data['Sewer Water In'].rolling(window=window_size, center=True).mean() data['Sewer Water Out Smooth'] = data['Sewer Water Out'].rolling(window=window_size, center=True).mean() data['Return Air Smooth'] = data['Return Air'].rolling(window=window_size, center=True).mean() data['Supply Air Smooth'] = data['Supply Air'].rolling(window=window_size, center=True).mean() -data['Q Smooth'] = data['Q (BTU/lb)'].rolling(window=window_size, center=True).mean() +data['Q Smooth'] = data['Q (BTU)'].rolling(window=window_size, center=True).mean() # Iterate through each calendar day and create separate plots for day in pd.Index(data['Date/Time (--4:0:0)'].dt.date).unique(): @@ -31,20 +41,21 @@ for day in pd.Index(data['Date/Time (--4:0:0)'].dt.date).unique(): # Add traces for each line with spline smoothing and increased visibility fig.add_trace(go.Scatter(x=day_data['Date/Time (--4:0:0)'], y=day_data['Sewer Water In Smooth'], mode='lines', name='Sewer Water In', - line=dict(shape='spline', color='blue', width=4, dash='solid')), secondary_y=False) + line=dict(shape='spline', color='blue', width=2, dash='solid')), secondary_y=False) fig.add_trace(go.Scatter(x=day_data['Date/Time (--4:0:0)'], y=day_data['Sewer Water Out Smooth'], mode='lines', name='Sewer Water Out', - line=dict(shape='spline', color='red', width=4, dash='solid')), secondary_y=False) + line=dict(shape='spline', color='red', width=2, dash='solid')), secondary_y=False) fig.add_trace(go.Scatter(x=day_data['Date/Time (--4:0:0)'], y=day_data['Return Air Smooth'], mode='lines', name='Return Air', - line=dict(shape='spline', color='orange', width=4, dash='solid')), secondary_y=False) + line=dict(shape='spline', color='orange', width=2, dash='solid')), secondary_y=False) fig.add_trace(go.Scatter(x=day_data['Date/Time (--4:0:0)'], y=day_data['Supply Air Smooth'], mode='lines', name='Supply Air', - line=dict(shape='spline', color='green', width=4, dash='solid')), secondary_y=False) + line=dict(shape='spline', color='green', width=2, dash='solid')), secondary_y=False) fig.add_trace(go.Scatter(x=day_data['Date/Time (--4:0:0)'], y=day_data['Q Smooth'], mode='lines', name='Transferred Heat (BTU/lb)', - line=dict(shape='spline', color='purple', width=4, dash='solid')), secondary_y=True) + line=dict(shape='spline', color='purple', width=2, dash='solid')), secondary_y=True) # Update layout fig.update_layout( xaxis_title='Date/Time', yaxis_title='Temperature (F)', + yaxis2_title='Transferred Heat (BTU/lb)', legend_title_text='Legend', font=dict(size=14), width=1400, @@ -52,4 +63,4 @@ for day in pd.Index(data['Date/Time (--4:0:0)'].dt.date).unique(): ) # Save the plot (requires kaleido package) - fig.write_image(f'plotly_plot_{day}.png') \ No newline at end of file + fig.write_image(f'temperature_variations_with_q_{day}.png') \ No newline at end of file diff --git a/main.py b/main.py index bad5b7c..a4e9e3e 100644 --- a/main.py +++ b/main.py @@ -21,13 +21,13 @@ fig = go.Figure() # Add traces for each line with spline smoothing and increased visibility fig.add_trace(go.Scatter(x=data.index, y=data['Sewer Water In Smooth'], mode='lines', name='Sewer Water In', - line=dict(shape='spline', color='blue', width=4, dash='solid'))) + line=dict(shape='spline', color='blue', width=2, dash='solid'))) fig.add_trace(go.Scatter(x=data.index, y=data['Sewer Water Out Smooth'], mode='lines', name='Sewer Water Out', - line=dict(shape='spline', color='red', width=4, dash='solid'))) + line=dict(shape='spline', color='red', width=2, dash='solid'))) fig.add_trace(go.Scatter(x=data.index, y=data['Return Air Smooth'], mode='lines', name='Return Air', - line=dict(shape='spline', color='orange', width=4, dash='solid'))) + line=dict(shape='spline', color='orange', width=2, dash='solid'))) fig.add_trace(go.Scatter(x=data.index, y=data['Supply Air Smooth'], mode='lines', name='Supply Air', - line=dict(shape='spline', color='green', width=4, dash='solid'))) + line=dict(shape='spline', color='green', width=2, dash='solid'))) # Add shading to separate days for i in range((data.index[-1] - data.index[0]).days + 1): @@ -43,7 +43,7 @@ for i in range((data.index[-1] - data.index[0]).days + 1): # Update layout for better styling and to set figure size fig.update_layout( title=dict( - text='Temperature Variations from 25/06/2024-07/07/2024', + text='Temperature Variations from 25/06/2024-08/07/2024', font=dict(size=20, family='Arial', color='black', weight='bold') ), xaxis_title=dict( @@ -64,7 +64,7 @@ fig.update_layout( ) # Save the plot (requires kaleido package) -fig.write_image('plotly_plot.png') +fig.write_image('temperatures without Q.png') # Display the plot fig.show() diff --git a/q_calculation.py b/q_calculation.py index 6a2eb2a..83ff54d 100644 --- a/q_calculation.py +++ b/q_calculation.py @@ -1,29 +1,38 @@ import pandas as pd import plotly.graph_objects as go -# Load the data (assuming you've already loaded and processed it as shown) +# Load the data data = pd.read_csv('06-25_07-07.csv') -# Calculation of Q (BTU / lb) -t_sewer_in = data['Sewer Water In'].to_list() -t_sewer_out = data['Sewer Water Out'].to_list() # corrected column name -q = [t_sewer_out[i] - t_sewer_in[i] for i in range(len(t_sewer_out))] -data['Q (BTU/lb)'] = q + # Convert 'Date/Time (--4:0:0)' column to datetime data['Date/Time (--4:0:0)'] = pd.to_datetime(data['Date/Time (--4:0:0)']) +# Calculate the time difference between consecutive points in minutes +data['Time Diff (min)'] = data['Date/Time (--4:0:0)'].diff().dt.total_seconds() / 60 + +# Set flow rate and specific heat capacity +flow_rate_gpm = 10 +density_water = 62.4 # lbm/ft^3 +flow_rate_lbm_min = flow_rate_gpm * 0.133681 * density_water # Convert GPM to lbm/min + +# Calculate Q (BTU) +cp_water = 1 # BTU/lbm°F +data['Delta T (F)'] = data['Sewer Water Out'] - data['Sewer Water In'] +data['Q (BTU)'] = flow_rate_lbm_min * cp_water * data['Delta T (F)'] * data['Time Diff (min)'] + # Set the datetime column as the index data.set_index('Date/Time (--4:0:0)', inplace=True) # Apply a smoothing function (moving average) window_size = 10 -data['Q Smooth'] = data['Q (BTU/lb)'].rolling(window=window_size, center=True).mean() +data['Q Smooth'] = data['Q (BTU)'].rolling(window=window_size, center=True).mean() # Ensure index is a datetime index for ease of filtering data.index = pd.to_datetime(data.index) # Create the plot fig = go.Figure() # Add traces for each line with spline smoothing and increased visibility fig.add_trace(go.Scatter(x=data.index, y=data['Q Smooth'], mode='lines', name='Transferred Heat (BTU/lb)', - line=dict(shape='spline', color='blue', width=4, dash='solid'))) + line=dict(shape='spline', color='blue', width=2, dash='solid'))) # Add shading to separate days for i in range((data.index[-1] - data.index[0]).days + 1): @@ -47,7 +56,7 @@ fig.update_layout( font=dict(size=18, family='Arial', color='black', weight='bold') ), yaxis_title=dict( - text='Energy (BTU/lb)', + text='Energy (BTU)', font=dict(size=18, family='Arial', color='black', weight='bold') ), legend=dict(