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Research on the application of Go language in the field of smart city environment detection

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2023-06-21 08:10:531250browse

With the acceleration of urbanization, smart city construction has gradually become a new direction for urban development. In the field of smart city environment detection, the advantages of Go language are gradually being discovered and applied. This article will introduce the application research of Go language in the field of smart city environment detection.

1. Current status of smart city environment detection

Smart city environment detection refers to a technical means to realize urban environment monitoring through Internet of Things technology. The importance of smart city environmental testing lies in the fact that the rapid development of cities not only provides convenience to humans, but also puts pressure on the natural environment. Urban environmental problems have become a global issue. For example, fine particulate matter (PM2.5) air pollution, greenhouse gas emissions, urban waste disposal and other issues have put heavy pressure on the urban environment and have had a serious impact on the global environment.

Currently, smart city environmental testing mainly includes air quality testing, water quality testing, noise testing, temperature testing, humidity testing, etc. These detections need to be implemented through widely deployed sensor networks, and data from sensor nodes need to be collected, stored, processed and displayed. Therefore, data collection, processing, storage and display are crucial in smart city environment detection.

2. Advantages of Go language

Go language is a concurrent, garbage collection programming language. Compared with other programming languages, Go language has the following obvious advantages:

  1. Strong concurrency capabilities

Go language has the ability to concurrently program from the language level Basically, you can easily implement concurrency by writing programs in Go language. The Go language implements efficient concurrent programming through goroutines and Channels.

  1. Language simplicity

One of the design goals of the Go language is simplicity. The syntax of Go language is simple, the code is easy to read and understand, and it is easy to maintain and develop.

  1. Static Type

Go language is a statically typed programming language, which can detect many errors during compilation, improving the stability and reliability of the code.

  1. Suitable for writing system-level programs

The standard library of Go language contains many system-level functions, such as network, file system, concurrency, etc. The Go language is suitable for writing system-level programs and is an efficient, stable and reliable programming language.

3. Application of Go language in smart city environment detection

  1. Smart sensor node

Smart sensor node is the infrastructure for smart city environment detection . Traditional sensor nodes are usually developed using languages ​​such as C and C. The codes in these languages ​​are complex, difficult to maintain and expand. Using Go language can reduce code complexity and improve code maintainability.

  1. Data collection and processing

Smart city environment detection requires the processing and storage of data collected by sensor nodes. The Go language's concurrency model and efficient memory management make data collection and processing efficient and reliable. The Go language supports lightweight threads (goroutines), which can easily implement concurrent processing of data.

  1. Database access

Smart city environment detection requires the storage and management of a large amount of data. Go language has rich database access libraries, such as sqlx, gorm, etc. These libraries provide efficient data access interfaces for convenient data processing and management.

  1. Data display and visualization

Smart city environment detection needs to display and visualize the collected data. Go language provides many web frameworks, such as gin, echo, etc., which can easily realize data display and visualization.

4. Conclusion

The advantages of Go language make it one of the mainstream development languages ​​in the field of smart city environment detection. In smart city environment detection, the Go language's concurrency capabilities, language simplicity, static typing, and suitability for writing system-level programs have all been fully utilized. With the development of smart cities and the deepening of intelligent construction, Go language will undoubtedly play an increasingly important role.

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