odwdinc / Python-SimConnect

Python interface for MSFS2020 SimConnect.dll
GNU Affero General Public License v3.0
269 stars 106 forks source link

Increase Data Rate? #123

Open PowerBroker2 opened 1 year ago

PowerBroker2 commented 1 year ago

I'm trying to get real-time location and attitude data, but it seems I can only get a ~5Hz data rate using this lib. I'd prefer to stay in Python and not switch to the C++ SDK, so I figure I'd ask here: Is there a way to speed up the data rate?

Here is my current code for reference:

import sys
from os.path import dirname
from pprint import pprint

import numpy as np
from SimConnect import *

SIM_DIR = dirname(__file__)
SRC_DIR = dirname(SIM_DIR)
sys.path.append(SIM_DIR)
sys.path.append(SRC_DIR)

import rotation
import pilotUtils

sm = SimConnect()
aq = AircraftRequests(sm, _time=0)

while not sm.quit:
    lat = aq.PositionandSpeedData.get('PLANE_LATITUDE')
    lon = aq.PositionandSpeedData.get('PLANE_LONGITUDE')
    alt = aq.PositionandSpeedData.get('PLANE_ALTITUDE') 

    alt_agl = aq.PositionandSpeedData.get('PLANE_ALT_ABOVE_GROUND')

    roll  = aq.PositionandSpeedData.get('PLANE_BANK_DEGREES')
    pitch = aq.PositionandSpeedData.get('PLANE_PITCH_DEGREES')
    yaw   = aq.PositionandSpeedData.get('PLANE_HEADING_DEGREES_TRUE')

    airspeed = aq.FlightInstrumentationData.get('AIRSPEED_TRUE')

    if None not in [lat, lon, alt, alt_agl, roll, pitch, yaw, airspeed]:
        lla = np.array([lat,           # dd
                        lon,           # dd
                        alt / 3.2808]) # Ft -> m above MSL

        agl = alt_agl / 3.2808 # Ft -> m above AGL

        B_angles_N = np.rad2deg(np.array([-roll,  # Actually radians
                                          -pitch, # Actually radians
                                          yaw]))  # Actually radians
        B_dcm_N = rotation.angle2dcm(B_angles_N,
                                     pilotUtils.DEGREES,
                                     True,
                                     321).squeeze()

        B_airspeed = np.array([airspeed * 0.514444, # Knots -> m/s
                               0,
                               0])
        N_airspeed = B_dcm_N.T @ B_airspeed

        pprint(lla)
        pprint(B_angles_N)
        pprint(B_airspeed)
        pprint(N_airspeed)
        print('')
TyraelDLee commented 1 month ago

Have the same concern. But it seems limited by MSFS; when I set the "GLASS COCKPIT REFRESH RATE" to high in the MSFS setting, the sampling rate is increased. All other factors depend on your CPU, I guess. I don't have a very powerful CPU, I just get ~2hz when I set the refresh rate to high (1hz with medium). MSFS is not well optimized for CPU load. If you wish do some optimization on server and client, WebSocket might be helpful.

PowerBroker2 commented 1 month ago

@odwdinc Is this repo abandoned or is it still maintained?