IoT and energy management.
Cost and size reduction. Increased processing and communication.
IoT and energy management. Internet of things impacts industry. It has a great application in the field of energy. Cost and size reduction. Increased processing and communication. Features which make devices appropriate for factory environments. For example, as a pilot before implementing a project. Thus reducing the risk of installing definitive devices, which are more expensive. This is the reason why IoT and energy management.
Temperature and humidity sensors.
There are many basic variables that cheap sensors can measure with sufficient accuracy. Temperature and humidity, for example. External atmospheric conditions influence the consumption of buildings, even when they are well isolated. Especially in locations with severe climates. With a large temperature difference between summer and winter. Consequently, if we want to establish a baseline with a regression it is essential to include these variables. It is also good to have the internal conditions of temperature and humidity.
IoT and energy: increasing model reliability.
In addition, our model will be much more solid and correct. So, we can install small devices that record these measures continuously or take a temporary measurement. We can use devices that work as dataloggers. We can download the information and convert it to an appropriate format manageable with a spreadsheet. Given the increase in capacity and communication capabilities, we can even think of a model that automatically records the data.
Pilot project. Measurement and collection of energy data.
Here I am going to talk about a project I have done to capture the interior conditions in several buildings. I have done it with a ESP 8266 microcontroller, programed with the Arduino interface. A temperature and humidity sensor, a Wemos DHT22, is connected to this device I have . This pilot project gets the measurements taken by the sensor. The data collected by the controller is sent through the wi-fi. A dashboard on a ThingSpeak page represent the result. For this project, the IT systems department of the company had to create a special wi-fi network for me.
Safety communication for the energy data.
The communication protocol required a higher security level. So, I found a project that uses a Raspberry pi 3. It receives the data from a ESP 8266 device and sends the information with a secure protocol to ThingSpeak. It uses MQQT communication protocol. A extremely lightweight publish/subscribe messaging transport. Therefore, ideal for mobile applications because of its small size, low consumption, minimized data packets, and efficient distribution of information to one or many receivers.
Here some references of the project. I simply followed the instructions to the letter and adapted it to my special requirements.
This is part of the data that I use it for my energy analysis. In a very simple way and with great flexibility. Furthermore, I also have alarms to know if any of the devices has stopped working. Hence, this is an advantage compared to a datalogger since I found many times that they had stopped working or someone had disconnected them.
More IoT in the future in energy industrial environments.
In future, I believe that we will incorporate all the knowledge and experience of the IoT into the world of energy. They are a very practical tool and increase our analysis power. Because of its economy of scale then it is possible that very soon we will be able to install a multitude of devices. These can register many measurements and can be present in all the buildings or in all the offices. This could allow to implement very interesting, participative projects, with many people involved saving energy. Creating a general access panel for all workers where they can see their carbon footprint in their specific area and how they can reduce it.
Installing mosquitto server (mqtt) on raspberry pi