ESPresense - Ips Solver
Appdaemon app that attempts to solve indoor position (x,y,z) with multiple ESPresense stations using multilateralization.
This uses numpy/scipy with a "Nelder-Mead" minimize of total error. Error is the amount of difference a guessed position has between the calced distance to a base station and the actual measured distance to the base station (via ESPresense rssi). Various x,y,z are tried and the position with the least error is where we guess it is.
This requires at least 3 ESPresense nodes that can get a "fix" on the particular device. The more devices the better. To get a decently accurate position you need at least 5 or 6. But this can find the location of something even if the particular room doesn't have a base station (You can put nodes on the perimeter of your house instead of the "center" of rooms). We need futher work to actually determine if the item is actually in a particular room (we'll need some kind of floorplan).
For this to work you need to add this to your appdaemon Add-On config:
system_packages: - py3-numpy - py3-scipy python_packages: - numpy - scipy
You need to have both MQTT and HASS added to
appdaemon: time_zone: America/New_York latitude: 40.234223 longitude: -75.23456 elevation: 146 plugins: HASS: type: hass ha_url: "http://192.168.128.8:8123" token: "xxxx" namespace: default app_init_delay: 30 appdaemon_startup_conditions: delay: 30 MQTT: type: mqtt client_host: 192.168.128.9 namespace: mqtt birth_topic: appdaemon will_topic: appdaemon
Finally you need something like this in your
ESPresenseIps: module: espresense-ips class: ESPresenseIps pluggins: - HASS - MQTT rooms: garage: [0, 8, 0.4] office: [5, 1.5, 0.5] family: [0, 0, 0] kitchen: [8, 6, 0.5] dining: [16, 0, 0.5] devices: - id: tile:xxx name: AirPods timeout: 30 away_timeout: 120 - id: tile:xxx name: Wallet timeout: 30 away_timeout: 120 - id: apple:1005:9-26 name: Watch timeout: 30 away_timeout: 120