This repository contains the code which we have developed for allowning SMEs to monitor the powers consumed by their electronics.
Pi.py can be deployed on a raspberry pi to send data to the InfluxDB server.
In our solution based on plotly, dash and influxdb, the user will firstly generate the specifications for different robots, and then a wide range of interactive visualizations for different machines for machine power, machine cost, and total cost based on the energy time and total energy getting dynamically from sensors. If a threshold is met, the alert email is generated for further operation.
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What is this machine energy application about?
'machine monitoring application` is a dashboard for monitoring read-time process for seven machines in the real time, and total time.
What does this app shows
It will get the input about the user defined thresholds related to the data domain
For the seven critical machines, the application will generate the associated real time data in the performance measurement manner in evaluating the associated energy and cost for that.
The pie chart on the right will show the real time data for the total evaluation for the data proportion for the energy usage
At the bottom of the page, there will be the total data preformance in this system.
In other page, there is also statis data in the domain for the domain, which is designed for the pie, line, and table data.
