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https://github.com/ESPresense/ad-espresense-ips
DEAD: See https://github.com/ESPresense/ESPresense-companion
https://github.com/ESPresense/ad-espresense-ips
Last synced: 8 days ago
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DEAD: See https://github.com/ESPresense/ESPresense-companion
- Host: GitHub
- URL: https://github.com/ESPresense/ad-espresense-ips
- Owner: ESPresense
- Created: 2021-08-18T12:59:29.000Z (about 3 years ago)
- Default Branch: master
- Last Pushed: 2023-03-10T21:44:17.000Z (over 1 year ago)
- Last Synced: 2024-08-02T15:45:09.215Z (3 months ago)
- Language: Python
- Homepage:
- Size: 35.2 KB
- Stars: 65
- Watchers: 13
- Forks: 9
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## ATTENTION: This has been replaced by this: https://github.com/ESPresense/ESPresense-companion
# 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). To actually determine if an item is in a particular room, you have to write down two opposite coordinates of a room to check if the items coordinates are within these boundaries.
## Installation
For this to work you need to add this to your appdaemon Add-On config:
You need to have both MQTT and HASS added to `appdaemon.yaml`:
```yaml
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 `app.yaml`:
```yaml
ESPresenseIps:
module: espresense-ips
class: ESPresenseIps
pluggins:
- HASS
- MQTT
draw_interval: 3
rooms:
office: [0, 0.864, 0.965]
living_room: [9.83, 0.584, 1.224]
living_room_2: [3.175, 1.499, 1.727]
bedroom: [9.398, 5.817, 1.32]
kitchen: [3.772, 7.417, 0.838]
kitchen_2: [1.049, 4.56, 1.930]
devices:
- id: iBeacon:xxxx
name: Phone
timeout: 30
away_timeout: 120
roomplans:
- name: office
points:
- x: 0.0
y: 0.0
- x: 3.175
y: 0
- x: 3.175
y: 2.225
- x: 1.87
y: 3.658
- x: 0
y: 1.956
- name: living_room
points:
- x: 3.175
y: 0
- x: 9.449
y: 0
- x: 9.449
y: 3.327
- x: 2.171
y: 3.327
- x: 3.175
y: 2.225
- name: bedroom
points:
- x: 5.41
y: 6.985
- x: 5.41
y: 6.121
- x: 6.248
y: 6.121
- x: 6.248
y: 4.191
- x: 9.398
y: 4.191
- x: 9.398
y: 6.985
- name: kitchen
points:
- x: 1.081
y: 2.94
- x: 1.87
y: 3.658
- x: 2.171
y: 3.327
- x: 5.41
y: 3.327
- x: 5.41
y: 6.985
- x: 4.166
y: 6.985
- x: 2.917
y: 8.356
- x: 0.006
y: 5.706
- x: 1.169
y: 4.428
- x: 0.38
y: 3.71
```
## [FloorPlan creator](https://github.com/stan69b/ESPresenseIPS-Floorplan-Creator)
This application allows one to :
* Create a floorplan/Rooms easily
* Name each room
* Add your ESP32 devices inside each room
* Add z values for ESP32's, coverage radius and coverage circle color
* Show coverage of each ESP32 devices to see the exact coverage in each rooms
* Show coverage of ESP32 while you place them so you can find what are the best places.
* Export your floorplan to yaml format with room coordinates and esp32 devices coordinates (just copy past inside app.js)