Configure Linux systems to support smart manufacturing and industrial IoT development

Configuring Linux systems to support smart manufacturing and industrial IoT development

Smart manufacturing and industrial IoT are important development directions in today’s industrial fields. In these fields, Linux systems are widely used in various On industrial equipment, robots, sensors and other equipment. In order to take full advantage of the Linux system and support smart manufacturing and industrial IoT development, we need to perform some configuration and installation work.

1. Install the Linux system
To start configuring the Linux system to support smart manufacturing and industrial IoT development, you first need to install a suitable Linux distribution. Common Linux distributions such as Ubuntu, CentOS, etc. are available. We can choose the appropriate distribution according to our needs and familiarity. During the installation process, we need to choose to install the server version for subsequent configuration.

2. Install basic libraries and development tools
Smart manufacturing and industrial IoT development usually require the use of some specific libraries and development tools. Before starting real development, we need to install these basic libraries and development tools. Taking the Ubuntu system as an example, we can install some commonly used libraries and development tools through the following commands:

sudo apt-get update
sudo apt-get install build-essential
sudo apt-get install git
sudo apt-get install cmake
sudo apt-get install libssl-dev
sudo apt-get install libboost-all-dev

These commands will install some necessary libraries and development tools for subsequent development work.

3. Configure network communication
Industrial Internet of Things development requires network communication between devices. We need to configure network settings to ensure that devices can communicate with each other. We can use network configuration tools such as ifconfig or NetworkManager for network configuration.

Taking configuring a static IP address as an example, we can edit the network configuration file, such as /etc/network/interfaces, and add the following configuration:

auto eth0
iface eth0 inet static
address 192.168.0.100
netmask 255.255.255.0
gateway 192.168.0.1

After the configuration is completed, save and apply the network configuration. This way, we can communicate via the device’s IP address.

4. Install the IoT protocol stack
Smart manufacturing and industrial IoT development often require the use of IoT protocol stacks, such as MQTT, CoAP, etc. We can choose to install the corresponding IoT protocol stack to support development.

Taking the installation of the MQTT protocol stack as an example, we can use the following command to install it:

git clone https://github.com/eclipse/mosquitto.git
cd mosquitto
make
sudo make install

In this way, we have successfully installed the MQTT protocol stack and can use MQTT for the Internet of Things in the Linux system Communicated.

5. Configure the database
In the development of industrial Internet of Things, databases are often needed to store and process data. We can choose to install databases such as SQLite and MySQL. Taking the installation of SQLite as an example, we can use the following command to install:

sudo apt-get install sqlite3

After the installation is completed, we can use the SQLite command line tool or use the SQLite API in the code to perform database operations.

6. Sample code
The following is a simple sample code written in C language for subscribing to MQTT messages and storing the messages into a SQLite database:

#include <stdio.h>
#include <stdlib.h>
#include <sqlite3.h>
#include <mosquitto.h>

void message_callback(struct mosquitto *mosq, void *userdata, const struct mosquitto_message *message) {
    sqlite3 *db;
    char *errmsg;
    int rc;

    rc = sqlite3_open("data.db", &db);
    if (rc != SQLITE_OK) {
        printf("Can't open database: %s
", sqlite3_errmsg(db));
        return;
    }

    char *sql = "INSERT INTO messages (topic, payload) VALUES (?, ?)";
    rc = sqlite3_exec(db, sql, NULL, NULL, &errmsg);
    if (rc != SQLITE_OK) {
        printf("SQL error: %s
", errmsg);
        sqlite3_free(errmsg);
    }

    sqlite3_close(db);
}

int main() {
    struct mosquitto *mosq = NULL;

    mosquitto_lib_init();
    mosq = mosquitto_new(NULL, true, NULL);
    mosquitto_connect(mosq, "localhost", 1883, 60);

    mosquitto_message_callback_set(mosq, message_callback);

    mosquitto_subscribe(mosq, NULL, "topic", 0);

    mosquitto_loop_start(mosq);

    while (1) {
        // 保持程序运行
    }

    mosquitto_loop_stop(mosq, true);
    mosquitto_destroy(mosq);
    mosquitto_lib_cleanup();

    return 0;
}

This code uses Use the mosquitto library to subscribe to MQTT messages and store the messages into a SQLite database. In actual development, we can modify and expand it according to our own needs.

By configuring and installing the Linux system, we can give full play to the advantages of the Linux system and support the development of smart manufacturing and industrial Internet of Things. I hope the above configuration and sample code can be helpful to developers.

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