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A fully open-source IoT platform for the Internet of Things
Hello everyone, I am the Open Source Project Decomposer, dismantling the most valuable open source projects every day
Today we will share a fully open source IoT platform: ThingsBoard
Source code address:
https://github.com/thingsboard/thingsboard
Open source IoT platform - device management, data collection, processing, and visualization.
Official website: thingsboard.io
It has been widely used in smart energy, fleet tracking, smart agriculture, IoT rule engines, intelligent metering
ThingsBoard is an open-source IoT platform used for data collection, processing, visualization, and device management
It enables device connectivity through industry standard IoT protocols (MQTT, CoAP, and HTTP) and supports cloud and local deployment. ThingsBoard combines scalability, fault tolerance, and performance, so you never lose data.
Smart energy
Fleet Tracking
Smart Agriculture
IoT Rule Engine
Intelligent measurement
ThingsBoard is an open-source IoT (Internet of Things) platform that provides end-to-end device management, data collection, processing, and visualization capabilities. It supports multiple Internet of Things protocols such as MQTT, CoAp, HTTP, etc., and can handle multiple data types. The design of ThingsBoard aims to implement a multi tenant architecture, which means it can serve multiple clients or projects while maintaining data isolation.
Specifically, the main functions of the ThingsBoard platform include:
1. Device management: It allows users to register, manage, and monitor a large number of IoT devices. These devices can be sensors, smart devices, industrial machines, etc. They send data to the platform through different protocols.
2. Data collection: ThingsBoard can collect raw data sent by devices, including telemetry data and attribute data, and then store them in a temporal database, such as InfluxDB.
3. Data processing: The platform provides a rule engine that allows users to define rules for processing data. These rules can be used to convert data, trigger alarms, or perform device control.
4. Data visualization: The collected data can be visualized through built-in dashboards, charts, and reports, helping users understand the meaning behind the data and make data-based decisions.
5. Security: ThingsBoard provides multiple security mechanisms, such as user authentication, device authentication, and data encryption, to ensure the security of data transmission and storage.
Due to its open-source nature, ThingsBoard can adapt to various IoT application scenarios, such as smart energy, fleet tracking, smart agriculture, and smart metering. Its documentation provides detailed instructions on how to quickly deploy and use the platform, as well as how to utilize its provided APIs for customized development.
With the rapid development of Internet of Things technology, platforms like ThingsBoard are becoming essential technologies in fields such as smart factories, smart cities, and smart homes, providing users with efficient data management and analysis tools to help optimize resource use, improve quality of life, and drive digital transformation of industries.
The ThingsBoard platform for intelligent agriculture and IoT agricultural solutions has greatly shortened the time to market and reduced the workload of creating intelligent agricultural solutions. Save up to 90% of development time for your smart agriculture solution by leveraging the following platform advantages:
Collect reliable and fault-tolerant data from IoT devices and sensors to monitor facility status, crop growth characteristics, humidity levels, etc;
A powerful rule engine that can process collected data and generate alerts and valuable insights;
Optimize resource consumption through automatic remote control through actuators;
Advanced and flexible visualization of real-time and historical data;
Customizable end-user dashboard to share farm monitoring results;
Local and cloud deployment options;
With the help of ThingsBoard Edge, tolerate connection issues at farm sites;
Customizable mobile applications that require minimal coding work;
This platform provides a production ready server infrastructure to connect your IoT devices, store and analyze collected IoT data, and optimize input and resource returns.
The following interactive dashboard represents a smart agriculture component that you can easily embed into your IoT solution. This special dashboard allows users to monitor and control the ventilation inside the silo. You can quickly adapt it to other farm asset tracking or remote control scenarios.
Watch live demonstrations
The real-time dashboard displays real-time data collected from temperature, humidity, and ultrasonic sensors using the ThingsBoard MQTT API. The collected data is processed by the rule engine to issue alerts at certain thresholds. The main dashboard displays the location of silo assets, corresponding alerts, and real-time data sources. Click on the alert or silo row to open asset details and access ventilation controls. You can export the dashboard from our real-time presentation server and import it into your ThingsBoard instance.
Please refer to the official website for details https://thingsboard.io/smart-farming/
Developing intelligent agriculture and IoT agriculture solutions based on the ThingsBoard open-source IoT platform can be achieved through the following steps:
1. Prepare hardware equipment: Select sensors and devices suitable for the agricultural field, such as soil moisture sensors, temperature sensors, humidity sensors, light sensors, etc. Ensure that these devices can communicate with the ThingsBoard platform through IoT protocols such as MQTT, CoAP, HTTP, etc.
2. Device access: Connect sensors and devices to the ThingsBoard platform. Create devices on the platform, assign a unique device ID to each device, and configure parameters such as device properties and data collection frequency. Set the communication method between the device and the platform based on the protocol supported by the device.
3. Data collection and processing: The equipment will regularly send the collected agricultural data to the ThingsBoard platform. The platform can store this data and provide functions such as data visualization, analysis, and alarm. Process the collected data through rule engines, such as data cleaning, data conversion, threshold alarms, etc.
4. Data visualization: Utilize the dashboard, charts, and report functions provided by the ThingsBoard platform to visualize agricultural data. For example, charts can be created to display the trend of changes in soil moisture, temperature, lighting, and other data, helping farmers understand the growth status of crops.
5. Application development: Develop applications to control and manage agricultural equipment based on specific needs in the agricultural field. For example, an application can be created to control the irrigation system and automatically adjust the irrigation amount based on soil moisture and crop needs. A pest and disease monitoring system can also be developed to analyze the growth status of crops through image recognition technology, timely detect and warn of pests and diseases.
6. Integration and deployment: Deploy the developed application to agricultural sites and integrate with sensors and devices. Ensure stable system operation and implement solutions for intelligent agriculture and IoT agriculture.
Through the above steps, the ThingsBoard open-source IoT platform can be used to provide intelligent data collection, processing, visualization, and device management functions for the agricultural field, helping farmers improve production efficiency, reduce costs, optimize crop quality, and achieve sustainable development of agricultural production.
ThingsBoard, a fully open source IoT platform for the Internet of Things
Source code address:
https://github.com/thingsboard/thingsboard
Open source IoT platform - device management, data collection, processing, and visualization.
Official website: thingsboard.io
It has been widely used in smart energy, fleet tracking, smart agriculture, IoT rule engines, intelligent metering
source code
https://github.com/thingsboard/thingsboard
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