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Configuring Linux systems to support smart building and smart energy management development

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Release: 2023-07-04 14:17:06
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Configuring Linux systems to support the development of smart buildings and smart energy management

Smart buildings and smart energy management are currently important trends in the integration of information technology and energy fields. In order to support development in this field, it is essential to configure a stable and reliable Linux system. This article will explain how to configure it on a Linux system and provide some code examples.

1. Install the Linux system

First, we need to choose a suitable Linux distribution for installation. Common distribution versions include Ubuntu, CentOS, etc., which can be selected according to actual needs. During the installation process, we need to pay attention to some basic components and development tools installed, such as SSH service, C/C compiler and Python interpreter.

2. Install the database server

The database is one of the core components that supports smart buildings and energy management. We can choose to install relational databases such as MySQL and PostgreSQL, or choose to install time-series databases such as InfluxDB. In the Ubuntu system, you can install MySQL through the apt-get command:

sudo apt-get install mysql-server
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In the CentOS system, you can install MySQL through the yum command:

sudo yum install mysql-server
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3. Install the message queue

In order to achieve real-time data transmission and asynchronous processing of smart building and energy management systems, we need to install a high-performance message queue. Common message queues include RabbitMQ, Apache Kafka, etc. In Ubuntu system, you can install RabbitMQ through apt-get command:

sudo apt-get install rabbitmq-server
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In CentOS system, you can install RabbitMQ through yum command:

sudo yum install rabbitmq-server
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4. Install development framework and tools

Next, we need to install some development frameworks and tools to support the development of smart buildings and energy management systems. Commonly used development frameworks include Django, Flask, etc., and tools include Git, Docker, etc. In Ubuntu system, you can install Django through apt-get command:

sudo apt-get install python3-django
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In CentOS system, you can install Django through yum command:

sudo yum install python3-django
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5. Sample code

The following is a simple sample code used to implement temperature data collection and display functions in smart building systems. The code is based on Python language and Django framework.

  1. Temperature collection script (temperature.py):
import random

def get_temperature():
    return random.uniform(20, 30)

if __name__ == '__main__':
    temperature = get_temperature()
    print(f'Temperature: {temperature}°C')
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  1. Temperature display web page (temperature.html):
<!DOCTYPE html>
<html>
<head>
    <title>Temperature</title>
</head>
<body>
    <h1>Temperature</h1>
    <p>{{ temperature }}°C</p>
</body>
</html>
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  1. Django view function (views.py):
from django.shortcuts import render
from temperature import get_temperature

def temperature_view(request):
    temperature = get_temperature()
    return render(request, 'temperature.html', {'temperature': temperature})
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  1. Django routing configuration (urls.py):
from django.urls import path
from .views import temperature_view

urlpatterns = [
    path('temperature', temperature_view),
]
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With the above configuration, we can Visit http://localhost/temperature to view current temperature data.

Summary:

This article describes how to configure a Linux system to support the development of smart buildings and smart energy management. We need to install suitable Linux distributions, database servers, message queues, and development frameworks and tools. At the same time, a simple sample code is provided to implement the temperature data collection and display function. I hope this article can provide some help to readers in the development of smart buildings and energy management fields.

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