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Aplicação na cloud que recebe dados dos sensores de baterias e trata e mostra esses dados usando o node-red.

Python 5.90% Shell 0.07% Jupyter Notebook 94.03%
internet-of-things iot machine-learning mqtt node-red python

iotprojectgroup5's Introduction

Projeto IoT

Run Cloud

Node Red

Start virtual machine
Open SSL terminal
Run:

node-red

IP

http://$PUBLIC_IP$:1880/

DB String

DB on the VM

Start Mosquitto Broker

Start VM mosquitto-broker-iot

Run:

mosquitto_sub -t "idc/bat01"
mosquitto_sub -t "idc/bat02"

To test if broker is working you can run:

mosquitto_pub -m "test" -t "idc"

Check the ip of the VM to use on node-red ($IP$:1883)

Import flow

Import
Select node-red/flow.json
Deploy

Exercices

  1. Both the number of charge and discharge cycles. (DONE)
  2. Both the average and standard deviation of the charge and discharge time.
  3. Range, average and standard deviation of the battery temperature, separately when charging and discharging.
  4. A chart displaying two lines simultaneously on the same axis, each for a complete charge/discharge cycle selected by the user. The two cycles will be selected with reference to two distinct timestamps, hence allowing the visualization of the battery performance decrease between the two selected timestamps.

Segunda fase:
a. predict the remaining battery available time (when discharging).
b. predict the remaining time until full charge is attained (when charging).

Com:

Additionally, the groups must use the online data set (online_1.json and online_2.json) to continuously send the battery sensors data from their own local computer to the cloud-based MQTT broker, similarly as the mobile devices would on a realistic scenario.

iotprojectgroup5's People

Contributors

mdmourao avatar catarina-57502 avatar

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