Design and implementation of smart environmental protection control system based on Go language

With the development of modern society, environmental pollution problems have become increasingly serious, and environmental protection issues have become the focus of global attention. The smart environmental protection control system is an intelligent system that collects, transmits, stores, and analyzes data to achieve refined management of environmental pollution and its treatment. The Go language has strong advantages in developing high-concurrency, distributed, and networked applications, and can be well applied to the development and implementation of smart environmental protection control systems. This article will introduce the design and implementation of a smart environmental protection control system based on Go language.

1. System requirements analysis

The functions that the smart environmental protection control system needs to implement include: environmental parameter collection, data transmission, data storage, data analysis and application feedback, etc. In order to realize these functions, it is necessary to select the corresponding hardware equipment and software technology, and establish the corresponding system architecture.

System hardware equipment: sensors, controllers, data storage devices, data transmission modules, etc. Sensors are used to collect environmental parameters. A suitable number and type of sensors can be selected, and data processing and control are performed through the controller. In order to ensure stable and reliable data transmission and provide remote control functions, IoT technology applications can be introduced. Data storage devices can use cloud storage or local storage to provide support for the storage of system data.

System software technology: Go language, MySQL, Vue.js, etc. Go language can be well used in the development and implementation of high-concurrency, distributed, and networked application scenarios. MySQL is used for the storage and management of relational data to achieve stable and reliable storage of data. Vue.js, as a progressive framework based on JavaScript, can help us achieve front-end interaction and page display.

System architecture design: The smart environmental protection control system mainly includes modules such as data collection, data transmission, data storage, data analysis and application feedback. The data acquisition module acquires environmental parameter data through sensors, and performs data processing and control through the controller to ensure the accuracy and completeness of the data. The data transmission module supports remote data transmission and control through IoT technology. The data storage module achieves stable and reliable storage of data through cloud storage and local storage. The data analysis module uses data analysis technology to conduct data analysis and mining to discover the laws and trends of environmental pollution. The application feedback module realizes data display and user feedback through the front-end page, and users can conduct environmental control and management based on data feedback.

2. System development and implementation

1. Go language environment construction and configuration

First of all, you need to build a Go language development environment and configure related development tools. To build a development environment, you can download the Go language installation package and configure the relevant environment variables after installation. You can use GoLand, VS Code, etc. to configure related development tools.

2. Data acquisition module development

The data acquisition module acquires environmental parameter data through sensors, and performs data processing and control through the controller.

Go language-related technologies that need to be involved in the acquisition module include:

• GPIO control technology: reading sensor parameter data through the GPIO interface;
• JSON sequence Technology: Integrate environmental parameter data into JSON string format to facilitate transmission and processing.

3. Data transmission module development

The data transmission module supports remote transmission and control of data through IoT technology.

Go language-related technologies that need to be involved in the transmission module include:

• MQTT client: MQTT is a lightweight message transmission protocol that can be used for data transmission;
• JSON serialization and deserialization technology: The message payload of MQTT messages needs to be formatted in JSON format.

4. Data storage module development

The data storage module achieves stable and reliable storage of data through cloud storage and local storage.

The Go language related technologies that need to be involved in the storage module include:

• MySQL database connection pool technology: Using MySQL as the basis for data storage, the connection pool can effectively improve database operations. Efficiency and stability;
• ORM framework technology: ORM framework can reduce the complexity of database operations and improve the maintainability of the code.

5. Data analysis module development

The data analysis module uses data analysis technology to conduct data analysis and mining to discover the laws and trends of environmental pollution.

Go language-related technologies that need to be involved in the analysis module include:

• Data mining algorithm: Data mining algorithm can analyze and mine massive data;
• Backend Task scheduling technology: Analysis tasks need to be automated through background task scheduling.

6. Development of application feedback module

The application feedback module realizes data display and user feedback through the front-end page. Users can perform environmental protection control and management based on data feedback.

Go language-related technologies that need to be involved in the application module include:

• RESTful API technology: RESTful API can isolate the front and back ends and reduce the coupling between modules;
• HTTP service technology: Backend data and front-end pages can be interacted with through HTTP service.

3. System testing and optimization

After the system development is completed, it needs to be tested and optimized. Testing needs to include unit testing, integration testing and system testing to ensure the stability and reliability of the system.

At the same time, some optimizations need to be done on the system, such as:

• Improve the robustness of the system and avoid data loss due to system crash or network disconnection;
• Improve the response speed of the system and ensure the real-time and accuracy of data;
• Strengthen the security of the system and prevent the system from malicious attacks and data leakage.

4. Summary

This article introduces the development and implementation of a smart environmental protection control system based on Go language, focusing on environmental parameter collection, data transmission, data storage, data analysis and application Feedback and other modules are explained in detail. By using the Go language and related technologies, we can provide strong support and guarantee for the development of environmental protection. At the same time, with the continuous advancement of science and technology, the development and application of smart environmental protection systems will become more mature and popular.

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