Ejemplo n.º 1
0
    # Geographic environment (elevation, landcover, wind...)
    wind = (10., 0.)
    area = ((480000.0, 485000.0), (6210000.0, 6215000.0))
    env = PlanningEnvironment(area, wind_speed=wind[0], wind_dir=wind[1],
                              planning_elevation_mode='flat', flat_altitude=0)

    # Fire applied to the previous environment
    ignition_point = TimedPoint(area[0][0] + 1000.0, area[1][0] + 2000.0, 0)
    logging.info("Start of propagation")
    fire = propagation.propagate_from_points(env, ignition_point, 240 * 60)
    logging.info("End of propagation")

    # Configure some flight
    base_wp = Waypoint(area[0][0] + 100., area[1][0] + 100., 0., 0.)
    start_t = 120 * 60  # 30 minutes after the ignition
    uavconf = UAVConf.slow_x8()
    fgconf = FlightConf(uavconf, start_t, base_wp)

    # Write down the desired VNS configuration
    conf_vns = {
        "full": {
            "max_restarts": 5,
            "max_time": 15.0,
            "neighborhoods": [
                {"name": "dubins-opt",
                 "max_trials": 100,
                 "generators": [
                     {"name": "MeanOrientationChangeGenerator"},
                     {"name": "RandomOrientationChangeGenerator"},
                     {"name": "FlipOrientationChangeGenerator"}]},
                {"name": "one-insert",
    flat_altitude = 700.
    env = PlanningEnvironment(area,
                              wind_speed=wind[0],
                              wind_dir=wind[1],
                              planning_elevation_mode='flat',
                              flat_altitude=flat_altitude)

    # Fire applied to the previous environment
    ignition_point = TimedPoint(area[0][0] + 1000.0, area[1][0] + 2000.0, 0)
    fire = propagation.propagate_from_points(env, ignition_point, 180 * 60)

    # Configure some flight
    base_wp = Waypoint(area[0][0] + 100., area[1][0] + 100.,
                       flat_altitude + 100., 0.)
    start_t = 120 * 60  # 30 minutes after the ignition
    fgconf = FlightConf(UAVConf.x8(), start_t, base_wp)

    # Write down the desired VNS configuration
    conf_vns = {
        "demo": {
            "max_time":
            15.,
            "neighborhoods": [{
                "name":
                "dubins-opt",
                "max_trials":
                200,
                "generators": [{
                    "name": "RandomOrientationChangeGenerator"
                }, {
                    "name": "FlipOrientationChangeGenerator"
Ejemplo n.º 3
0
def threefire_twouav_figure(
        wind_speed=5.,
        wind_dir=np.pi / 2) -> "fire_rs.geodata.display.GeoDataDisplay":
    """Plot a generic case with wind, multiple UAV from multiple bases, and multiple fire."""

    # Geographic environment (elevation, landcover, wind...)
    wind = (wind_speed, wind_dir)
    area = ((480000.0, 485000.0), (6210000.0, 6215000.0))
    env = PlanningEnvironment(area,
                              wind_speed=wind[0],
                              wind_dir=wind[1],
                              planning_elevation_mode='flat',
                              flat_altitude=0)

    # Fire applied to the previous environment
    ignition_points = [
        TimedPoint(area[0][0] + 1000.0, area[1][0] + 1000.0, 0.),
        TimedPoint(area[0][0] + 4000.0, area[1][0] + 2000.0, 0.),
        TimedPoint(area[0][0] + 2000.0, area[1][0] + 3500.0, 0.)
    ]
    logging.info("Start of propagation")
    fire = propagation.propagate_from_points(env, ignition_points, 120 * 60)
    logging.info("End of propagation")

    # Configure some flight
    start_t = 90 * 60
    uav = UAVConf.x8()
    uav.max_flight_time /= 3
    f_confs = [
        FlightConf(uav, start_t,
                   Waypoint(area[0][0] + 100., area[1][0] + 100., 0., 0.),
                   None, wind),
        FlightConf(uav, start_t,
                   Waypoint(area[0][0] + 100., area[1][0] + 100., 0., 0.),
                   None, wind),
    ]

    conf = SAOP_conf(start_t, start_t + uav.max_flight_time)

    fire1 = fire.ignitions()
    pl = Planner(env, fire1, f_confs, conf)
    pl.compute_plan()
    sr_1 = pl.search_result
    fmapper = FireMapper(env, fire1)

    gdd = fire_rs.geodata.display.GeoDataDisplay.pyplot_figure(
        env.raster.combine(fire1), frame=(0, 0))
    gdd.add_extension(TrajectoryDisplayExtension, (None, ), {})

    # Draw expected fire contour
    t_range = (sr_1.final_plan().trajectories()[0].start_time(0),
               sr_1.final_plan().trajectories()[0].end_time(
                   len(sr_1.final_plan().trajectories()[0]) - 1))
    t_range_fire = (0, np.inf)
    gdd.draw_ignition_contour(geodata=fire1,
                              time_range=t_range_fire,
                              cmap=matplotlib.cm.Reds,
                              alpha=1)

    # Draw observed fire
    for i in range(len(f_confs)):
        executed_path = sr_1.final_plan().trajectories()[i].sampled_with_time(
            step_size=10)
        fmapper.observe(executed_path, pl.flights[i].uav)
    gdd.draw_ignition_shade(geodata=fmapper.firemap,
                            cmap=matplotlib.cm.summer,
                            vmin=t_range[0],
                            vmax=t_range[1],
                            with_colorbar=False)

    # Draw trajectory
    colors = ['blue', 'darkgreen', 'magenta']
    labels = ["UAV " + str(i) for i in range(len(f_confs))]

    for i in range(len(f_confs)):
        plot_plan_trajectories(sr_1.final_plan(),
                               gdd,
                               trajectories=i,
                               draw_path=True,
                               draw_flighttime_path=False,
                               colors=[colors[i]],
                               labels=[labels[i]],
                               linestyles=['-'])
    gdd.legend()
    return gdd
Ejemplo n.º 4
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def detail_case_figure(
        wind_speed=5.,
        wind_dir=0.) -> "fire_rs.geodata.display.GeoDataDisplay":
    """Plot a case with an small fire
     we can make a zoom and observe a dubinswind path and observed cells."""

    # Geographic environment (elevation, landcover, wind...)
    wind = (wind_speed, wind_dir)
    wind_xy = (wind[0] * np.cos(wind[1]), wind[0] * np.sin(wind[1]))
    area = ((480000.0, 485000.0), (6210000.0, 6215000.0))
    env = PlanningEnvironment(area,
                              wind_speed=10,
                              wind_dir=wind[1],
                              planning_elevation_mode='flat',
                              flat_altitude=0)

    # Fire applied to the previous environment
    ignition_points = [
        TimedPoint(area[0][0] + 2000.0, area[1][0] + 2000.0, 0),
    ]
    logging.info("Start of propagation")
    fire = propagation.propagate_from_points(env, ignition_points, 180 * 60)
    logging.info("End of propagation")

    # Configure some flight
    base_wp = Waypoint(area[0][0] + 100., area[1][0] + 100., 0., 0.)
    start_t = 120 * 60
    uav = UAVConf.x8()

    f_confs = [
        FlightConf(uav, start_t,
                   Waypoint(area[0][0] + 100., area[1][0] + 100., 0., 0.),
                   None, wind_xy),
    ]

    conf = SAOP_conf(start_t, start_t + uav.max_flight_time)

    fire1 = fire.ignitions()
    pl = Planner(env, fire1, f_confs, conf)
    pl.compute_plan()
    sr_1 = pl.search_result
    fmapper = FireMapper(env, fire1)

    gdd = fire_rs.geodata.display.GeoDataDisplay.pyplot_figure(
        env.raster.combine(fire1), frame=(0, 0))
    gdd.add_extension(TrajectoryDisplayExtension, (None, ), {})

    gdd.axes.grid(True)

    # Draw expected fire contour
    t_range = (sr_1.final_plan().trajectories()[0].start_time(0) - 120,
               sr_1.final_plan().trajectories()[0].end_time(
                   len(sr_1.final_plan().trajectories()[0]) - 1) + 120)
    t_range_fire = (0, np.inf)
    gdd.draw_ignition_contour(geodata=fire1,
                              time_range=t_range_fire,
                              cmap=matplotlib.cm.Reds)

    # Draw observed fire
    executed_path_1 = sr_1.final_plan().trajectories()[0].sampled_with_time(
        step_size=10)
    fmapper.observe(executed_path_1, pl.flights[0].uav)
    gdd.TrajectoryDisplayExtension.draw_observation_map(
        obs_map=fmapper.observed, layer='ignition', color='gray')
    gdd.TrajectoryDisplayExtension.draw_observation_map(
        obs_map=fmapper.firemap, layer='ignition', color='green')

    # Draw trajectory
    colors = ['blue', 'green', 'magenta']
    labels = ["UAV " + str(i) for i in range(len(f_confs))]

    for i in range(len(f_confs)):
        plot_plan_trajectories(sr_1.final_plan(),
                               gdd,
                               trajectories=i,
                               draw_path=True,
                               draw_segments=False,
                               draw_flighttime_path=False,
                               colors=[colors[i]],
                               labels=None)
    gdd.legend()
    return gdd
Ejemplo n.º 5
0
    env = PlanningEnvironment(area,
                              wind_speed=wind[0],
                              wind_dir=wind[1],
                              planning_elevation_mode='flat',
                              flat_altitude=0)

    # Fire applied to the previous environment
    ignition_point = TimedPoint(area[0][0] + 1000.0, area[1][0] + 2100.0, 0)
    logging.info("Start of propagation")
    fire = propagation.propagate_from_points(env, ignition_point, 240 * 60)
    logging.info("End of propagation")

    # Configure some flight
    base_wp = Waypoint(area[0][0] + 100., area[1][0] + 100., 0., 0.)
    start_t = 180 * 60  # 30 minutes after the ignition
    uavconf = UAVConf.x8()
    uavconf.max_flight_time = 1000
    fgconf = FlightConf(uavconf, start_t, base_wp)

    # Write down the desired VNS configuration
    conf_vns = {
        "full": {
            "max_restarts":
            5,
            "max_time":
            15.0,
            "neighborhoods": [{
                "name":
                "dubins-opt",
                "max_trials":
                100,
    def give_me_a_plan():
        import numpy as np
        import fire_rs.uav_planning as op
        from fire_rs.firemodel import propagation
        from fire_rs.geodata.geo_data import TimedPoint, GeoData
        from fire_rs.planning.planning import FireMapper, FlightConf, Planner, PlanningEnvironment, \
            UAVConf, Waypoint
        from fire_rs.planning.display import TrajectoryDisplayExtension, plot_plan_trajectories

        # Geographic environment (elevation, landcover, wind...)
        wind = (10., np.pi / 4)  # 10m/s = 36km/h
        area = ((478500.0, 483500.0), (6210000.0, 6215000.0))
        env = PlanningEnvironment(area,
                                  wind_speed=wind[0],
                                  wind_dir=wind[1],
                                  planning_elevation_mode='flat',
                                  flat_altitude=0)

        # Fire applied to the previous environment
        ignition_point = TimedPoint(area[0][0] + 2500.0, area[1][0] + 2100.0,
                                    0)
        fire = propagation.propagate_from_points(env, ignition_point,
                                                 120 * 60)  # 60 minutes
        # Configure some flight
        base_wp_1 = Waypoint(area[0][1] - 150., area[1][1] - 100., 0., 0.)
        start_t = 60 * 60  # 30 minutes after the ignition
        uavconf = UAVConf.x8()
        uavconf.max_flight_time = 30 * 60
        fgconf_1 = FlightConf(uavconf, start_t, base_wp_1)

        # Write down the desired VNS configuration
        conf_vns = {
            "full": {
                "max_restarts":
                5,
                "max_time":
                10.0,
                "neighborhoods": [
                    {
                        "name":
                        "dubins-opt",
                        "max_trials":
                        100,
                        "generators": [{
                            "name": "MeanOrientationChangeGenerator"
                        }, {
                            "name":
                            "RandomOrientationChangeGenerator"
                        }, {
                            "name": "FlipOrientationChangeGenerator"
                        }]
                    },
                    {
                        "name": "one-insert",
                        "max_trials": 100,
                        "select_arbitrary_trajectory": True,
                        "select_arbitrary_position": False
                    },
                ]
            }
        }

        conf = {
            'min_time': fgconf_1.start_time,
            'max_time': fgconf_1.start_time + fgconf_1.uav.max_flight_time,
            'save_every': 1,
            'save_improvements': True,
            'discrete_elevation_interval': 0,
            'vns': conf_vns['full']
        }
        conf['vns']['configuration_name'] = 'full'

        ####################################
        # 1st PLAN
        fire1 = fire.ignitions()
        pl = Planner(env, fire1, [fgconf_1], conf)
        pl.compute_plan()
        return pl.search_result.final_plan()