feature: update dhn generator with the parent repo
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23f83fcbe9
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8bb7620278
50
main.py
50
main.py
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@ -48,42 +48,14 @@ city = GeometryFactory(file_type='geojson',
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year_of_construction_field='year_of_construction',
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function_field='function',
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function_to_hub=Dictionaries().montreal_function_to_hub_function).city
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# ConstructionFactory('nrcan', city).enrich()
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# UsageFactory('nrcan', city).enrich()
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# WeatherFactory('epw', city).enrich()
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# energy_plus_workflow(city, energy_plus_output_path)
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# data[f'{city.buildings[0].function}'] = city.buildings[0].heating_demand[cte.YEAR][0] / 3.6e9
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# city.buildings[0].function = cte.COMMERCIAL
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# ConstructionFactory('nrcan', city).enrich()
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# UsageFactory('nrcan', city).enrich()
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# energy_plus_workflow(city, energy_plus_output_path)
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# data[f'{city.buildings[0].function}'] = city.buildings[0].heating_demand[cte.YEAR][0] / 3.6e9
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# city.buildings[0].function = cte.MEDIUM_OFFICE
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# ConstructionFactory('nrcan', city).enrich()
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# UsageFactory('nrcan', city).enrich()
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# energy_plus_workflow(city, energy_plus_output_path)
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# data[f'{city.buildings[0].function}'] = city.buildings[0].heating_demand[cte.YEAR][0] / 3.6e9
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# categories = list(data.keys())
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# values = list(data.values())
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# # Plotting
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# fig, ax = plt.subplots(figsize=(10, 6), dpi=96)
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# fig.suptitle('Impact of different usages on yearly heating demand', fontsize=16, weight='bold', alpha=.8)
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# ax.bar(categories, values, color=['#2196f3', '#ff5a5f', '#4caf50'], width=0.6, zorder=2)
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# ax.grid(which="major", axis='x', color='#DAD8D7', alpha=0.5, zorder=1)
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# ax.grid(which="major", axis='y', color='#DAD8D7', alpha=0.5, zorder=1)
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# ax.set_xlabel('Building Type', fontsize=12, labelpad=10)
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# ax.set_ylabel('Energy Consumption (MWh)', fontsize=14, labelpad=10)
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# ax.yaxis.set_major_locator(plt.MaxNLocator(integer=True))
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# ax.set_xticks(np.arange(len(categories)))
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# ax.set_xticklabels(categories, rotation=45, ha='right')
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# ax.bar_label(ax.containers[0], padding=3, color='black', fontsize=12, rotation=0)
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# ax.spines[['top', 'left', 'bottom']].set_visible(False)
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# ax.spines['right'].set_linewidth(1.1)
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# # Set a white background
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# fig.patch.set_facecolor('white')
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# # Adjust the margins around the plot area
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# plt.subplots_adjust(left=0.1, right=0.9, top=0.85, bottom=0.25)
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# # Save the plot
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# plt.savefig('plot_nrcan.png', bbox_inches='tight')
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# plt.close()
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print('test')
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ConstructionFactory('nrcan', city).enrich()
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UsageFactory('nrcan', city).enrich()
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WeatherFactory('epw', city).enrich()
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# EnergyPlus workflow
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energy_plus_workflow(city, energy_plus_output_path)
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print('test')
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@ -5,7 +5,11 @@ import networkx as nx
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from typing import List, Tuple
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from rtree import index
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import math
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import logging
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# Configure logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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logging.getLogger('numexpr').setLevel(logging.ERROR)
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def haversine(lon1, lat1, lon2, lat2):
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"""
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@ -42,69 +46,81 @@ class DistrictHeatingNetworkCreator:
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Main method to execute the district heating network creation process.
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:return: NetworkX graph with nodes and edges representing the network.
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"""
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self._load_and_process_data()
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self._find_nearest_roads()
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self._find_nearest_points()
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self._break_down_roads()
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self._create_graph()
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self._create_mst()
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self._iteratively_remove_edges()
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self._add_centroids_to_mst()
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self._convert_edge_weights_to_meters()
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return self.final_mst
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try:
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self._load_and_process_data()
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self._find_nearest_roads()
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self._find_nearest_points()
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self._break_down_roads()
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self._create_graph()
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self._create_mst()
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self._iteratively_remove_edges()
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self._add_centroids_to_mst()
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self._convert_edge_weights_to_meters()
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return self.final_mst
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except Exception as e:
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logging.error(f"Error during network creation: {e}")
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raise
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def _load_and_process_data(self):
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"""
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Load and process the building and road data.
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"""
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# Load building data
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with open(self.buildings_file, 'r') as file:
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city = json.load(file)
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try:
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# Load building data
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with open(self.buildings_file, 'r') as file:
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city = json.load(file)
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self.centroids = []
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self.building_ids = []
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buildings = city['features']
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for building in buildings:
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coordinates = building['geometry']['coordinates'][0]
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building_polygon = Polygon(coordinates)
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centroid = building_polygon.centroid
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self.centroids.append(centroid)
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self.building_ids.append(building['id'])
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self.centroids = []
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self.building_ids = []
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buildings = city['features']
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for building in buildings:
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coordinates = building['geometry']['coordinates'][0]
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building_polygon = Polygon(coordinates)
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centroid = building_polygon.centroid
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self.centroids.append(centroid)
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self.building_ids.append(building['id'])
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# Load road data
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with open(self.roads_file, 'r') as file:
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roads = json.load(file)
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# Load road data
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with open(self.roads_file, 'r') as file:
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roads = json.load(file)
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line_features = [feature for feature in roads['features'] if feature['geometry']['type'] == 'LineString']
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line_features = [feature for feature in roads['features'] if feature['geometry']['type'] == 'LineString']
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self.lines = [LineString(feature['geometry']['coordinates']) for feature in line_features]
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self.cleaned_lines = [LineString([line.coords[0], line.coords[-1]]) for line in self.lines]
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self.lines = [LineString(feature['geometry']['coordinates']) for feature in line_features]
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self.cleaned_lines = [LineString([line.coords[0], line.coords[-1]]) for line in self.lines]
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except Exception as e:
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logging.error(f"Error loading and processing data: {e}")
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raise
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def _find_nearest_roads(self):
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"""
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Find the nearest road for each building centroid.
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"""
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self.closest_roads = []
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unique_roads_set = set()
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try:
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self.closest_roads = []
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unique_roads_set = set()
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# Create spatial index for roads
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idx = index.Index()
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for pos, line in enumerate(self.cleaned_lines):
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idx.insert(pos, line.bounds)
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# Create spatial index for roads
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idx = index.Index()
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for pos, line in enumerate(self.cleaned_lines):
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idx.insert(pos, line.bounds)
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for centroid in self.centroids:
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min_distance = float('inf')
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closest_road = None
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for pos in idx.nearest(centroid.bounds, 10):
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road = self.cleaned_lines[pos]
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distance = road.distance(centroid)
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if distance < min_distance:
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min_distance = distance
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closest_road = road
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for centroid in self.centroids:
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min_distance = float('inf')
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closest_road = None
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for pos in idx.nearest(centroid.bounds, 10):
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road = self.cleaned_lines[pos]
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distance = road.distance(centroid)
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if distance < min_distance:
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min_distance = distance
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closest_road = road
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if closest_road and closest_road.wkt not in unique_roads_set:
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unique_roads_set.add(closest_road.wkt)
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self.closest_roads.append(closest_road)
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if closest_road and closest_road.wkt not in unique_roads_set:
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unique_roads_set.add(closest_road.wkt)
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self.closest_roads.append(closest_road)
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except Exception as e:
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logging.error(f"Error finding nearest roads: {e}")
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raise
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def _find_nearest_points(self):
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"""
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@ -113,19 +129,23 @@ class DistrictHeatingNetworkCreator:
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def find_nearest_point_on_line(point: Point, line: LineString) -> Point:
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return line.interpolate(line.project(point))
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self.nearest_points = []
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for centroid in self.centroids:
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min_distance = float('inf')
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closest_road = None
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for road in self.closest_roads:
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distance = centroid.distance(road)
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if distance < min_distance:
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min_distance = distance
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closest_road = road
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try:
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self.nearest_points = []
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for centroid in self.centroids:
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min_distance = float('inf')
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closest_road = None
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for road in self.closest_roads:
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distance = centroid.distance(road)
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if distance < min_distance:
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min_distance = distance
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closest_road = road
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if closest_road:
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nearest_point = find_nearest_point_on_line(centroid, closest_road)
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self.nearest_points.append(nearest_point)
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if closest_road:
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nearest_point = find_nearest_point_on_line(centroid, closest_road)
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self.nearest_points.append(nearest_point)
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except Exception as e:
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logging.error(f"Error finding nearest points: {e}")
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raise
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def _break_down_roads(self):
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"""
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@ -144,19 +164,27 @@ class DistrictHeatingNetworkCreator:
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new_segments.append(segment)
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return new_segments
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self.new_segments = break_down_roads(self.closest_roads, self.nearest_points)
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self.cleaned_lines = [line for line in self.cleaned_lines if line not in self.closest_roads]
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self.cleaned_lines.extend(self.new_segments)
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try:
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self.new_segments = break_down_roads(self.closest_roads, self.nearest_points)
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self.cleaned_lines = [line for line in self.cleaned_lines if line not in self.closest_roads]
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self.cleaned_lines.extend(self.new_segments)
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except Exception as e:
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logging.error(f"Error breaking down roads: {e}")
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raise
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def _create_graph(self):
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"""
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Create a NetworkX graph from the cleaned lines.
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"""
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self.G = nx.Graph()
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for line in self.cleaned_lines:
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coords = list(line.coords)
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for i in range(len(coords) - 1):
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self.G.add_edge(coords[i], coords[i + 1], weight=Point(coords[i]).distance(Point(coords[i + 1])))
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try:
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self.G = nx.Graph()
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for line in self.cleaned_lines:
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coords = list(line.coords)
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for i in range(len(coords) - 1):
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self.G.add_edge(coords[i], coords[i + 1], weight=Point(coords[i]).distance(Point(coords[i + 1])))
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except Exception as e:
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logging.error(f"Error creating graph: {e}")
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raise
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def _create_mst(self):
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"""
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@ -174,18 +202,22 @@ class DistrictHeatingNetworkCreator:
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edges.extend((u, v, g[u][v]['weight']) for u, v in path_edges)
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return edges
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edges = find_paths_between_nearest_points(self.G, self.nearest_points)
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h = nx.Graph()
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h.add_weighted_edges_from(edges)
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mst = nx.minimum_spanning_tree(h, weight='weight')
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final_edges = []
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for u, v in mst.edges():
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if nx.has_path(self.G, u, v):
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path = nx.shortest_path(self.G, source=u, target=v, weight='weight')
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path_edges = list(zip(path[:-1], path[1:]))
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final_edges.extend((x, y, self.G[x][y]['weight']) for x, y in path_edges)
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self.final_mst = nx.Graph()
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self.final_mst.add_weighted_edges_from(final_edges)
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try:
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edges = find_paths_between_nearest_points(self.G, self.nearest_points)
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h = nx.Graph()
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h.add_weighted_edges_from(edges)
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mst = nx.minimum_spanning_tree(h, weight='weight')
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final_edges = []
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for u, v in mst.edges():
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if nx.has_path(self.G, u, v):
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path = nx.shortest_path(self.G, source=u, target=v, weight='weight')
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path_edges = list(zip(path[:-1], path[1:]))
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final_edges.extend((x, y, self.G[x][y]['weight']) for x, y in path_edges)
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self.final_mst = nx.Graph()
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self.final_mst.add_weighted_edges_from(final_edges)
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except Exception as e:
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logging.error(f"Error creating MST: {e}")
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raise
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def _iteratively_remove_edges(self):
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"""
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@ -209,65 +241,77 @@ class DistrictHeatingNetworkCreator:
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nodes_to_remove.append(node)
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return nodes_to_remove
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edges_to_remove = find_edges_to_remove(self.final_mst)
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self.final_mst_steps = [list(self.final_mst.edges(data=True))]
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while edges_to_remove or find_nodes_to_remove(self.final_mst):
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self.final_mst.remove_edges_from(edges_to_remove)
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nodes_to_remove = find_nodes_to_remove(self.final_mst)
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self.final_mst.remove_nodes_from(nodes_to_remove)
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try:
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edges_to_remove = find_edges_to_remove(self.final_mst)
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self.final_mst_steps.append(list(self.final_mst.edges(data=True)))
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self.final_mst_steps = [list(self.final_mst.edges(data=True))]
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def find_single_connection_street_nodes(graph: nx.Graph) -> List[Tuple]:
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single_connection_street_nodes = []
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for node in graph.nodes():
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if node not in nearest_points_tuples and graph.degree(node) == 1:
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single_connection_street_nodes.append(node)
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return single_connection_street_nodes
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while edges_to_remove or find_nodes_to_remove(self.final_mst):
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self.final_mst.remove_edges_from(edges_to_remove)
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nodes_to_remove = find_nodes_to_remove(self.final_mst)
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self.final_mst.remove_nodes_from(nodes_to_remove)
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edges_to_remove = find_edges_to_remove(self.final_mst)
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self.final_mst_steps.append(list(self.final_mst.edges(data=True)))
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single_connection_street_nodes = find_single_connection_street_nodes(self.final_mst)
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def find_single_connection_street_nodes(graph: nx.Graph) -> List[Tuple]:
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single_connection_street_nodes = []
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for node in graph.nodes():
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if node not in nearest_points_tuples and graph.degree(node) == 1:
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single_connection_street_nodes.append(node)
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return single_connection_street_nodes
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while single_connection_street_nodes:
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for node in single_connection_street_nodes:
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neighbors = list(self.final_mst.neighbors(node))
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self.final_mst.remove_node(node)
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for neighbor in neighbors:
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if self.final_mst.degree(neighbor) == 0:
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self.final_mst.remove_node(neighbor)
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single_connection_street_nodes = find_single_connection_street_nodes(self.final_mst)
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self.final_mst_steps.append(list(self.final_mst.edges(data=True)))
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while single_connection_street_nodes:
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for node in single_connection_street_nodes:
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neighbors = list(self.final_mst.neighbors(node))
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self.final_mst.remove_node(node)
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for neighbor in neighbors:
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if self.final_mst.degree(neighbor) == 0:
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self.final_mst.remove_node(neighbor)
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single_connection_street_nodes = find_single_connection_street_nodes(self.final_mst)
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self.final_mst_steps.append(list(self.final_mst.edges(data=True)))
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except Exception as e:
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logging.error(f"Error iteratively removing edges: {e}")
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raise
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def _add_centroids_to_mst(self):
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"""
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Add centroids to the final MST graph and connect them to their associated node on the graph.
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"""
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for i, centroid in enumerate(self.centroids):
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centroid_tuple = (centroid.x, centroid.y)
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building_id = self.building_ids[i]
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self.final_mst.add_node(centroid_tuple, type='building', id=building_id)
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nearest_point = None
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min_distance = float('inf')
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for node in self.final_mst.nodes():
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if self.final_mst.nodes[node].get('type') != 'building':
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node_point = Point(node)
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distance = centroid.distance(node_point)
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if distance < min_distance:
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min_distance = distance
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nearest_point = node
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try:
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for i, centroid in enumerate(self.centroids):
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centroid_tuple = (centroid.x, centroid.y)
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building_id = self.building_ids[i]
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self.final_mst.add_node(centroid_tuple, type='building', id=building_id)
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nearest_point = None
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min_distance = float('inf')
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for node in self.final_mst.nodes():
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if self.final_mst.nodes[node].get('type') != 'building':
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node_point = Point(node)
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distance = centroid.distance(node_point)
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if distance < min_distance:
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min_distance = distance
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nearest_point = node
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if nearest_point:
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self.final_mst.add_edge(centroid_tuple, nearest_point, weight=min_distance)
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if nearest_point:
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self.final_mst.add_edge(centroid_tuple, nearest_point, weight=min_distance)
|
||||
except Exception as e:
|
||||
logging.error(f"Error adding centroids to MST: {e}")
|
||||
raise
|
||||
|
||||
def _convert_edge_weights_to_meters(self):
|
||||
"""
|
||||
Convert all edge weights in the final MST graph to meters using the Haversine formula.
|
||||
"""
|
||||
for u, v, data in self.final_mst.edges(data=True):
|
||||
lon1, lat1 = u
|
||||
lon2, lat2 = v
|
||||
distance = haversine(lon1, lat1, lon2, lat2)
|
||||
self.final_mst[u][v]['weight'] = distance
|
||||
try:
|
||||
for u, v, data in self.final_mst.edges(data=True):
|
||||
lon1, lat1 = u
|
||||
lon2, lat2 = v
|
||||
distance = haversine(lon1, lat1, lon2, lat2)
|
||||
self.final_mst[u][v]['weight'] = distance
|
||||
except Exception as e:
|
||||
logging.error(f"Error converting edge weights to meters: {e}")
|
||||
raise
|
||||
|
||||
def plot_network_graph(self):
|
||||
"""
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user