How to use Go language for intelligent logistics development?

With the development of logistics business, traditional logistics management methods can no longer meet the growing demand. The intelligent logistics system improves the efficiency and accuracy of logistics management by utilizing new technologies and software. This article will introduce how to use Go language for intelligent logistics development.

1. What is Go language?

Go is a programming language developed by Google and first launched in 2009. The Go language is syntactically concise, intuitive, and has concurrent programming capabilities. These advantages make Go the language of choice for many applications. In the application fields of Internet of Things and smart logistics, Go language is popular for its efficiency and portability.

2. Go language advantages

In the field of intelligent logistics development, the advantages of Go language lie in its high performance and concurrent programming capabilities. The Go language can handle large amounts of data easily and performs well in handling network requests, multi-threading and other issues.

3. Develop intelligent logistics system

The main steps of using Go language to develop intelligent logistics system are as follows:

3.1. Determine the requirements

In developing intelligent logistics The application needs must be carefully considered before system development. For example, you need to consider what data needs to be stored, what calculations need to be performed, how to track orders, etc. Ensuring clear requirements helps us build a more adaptable application.

3.2. Choose the appropriate framework

Choosing the appropriate framework can make our development work more efficient. When choosing a framework, we need to consider factors such as the needs of the application, the integration of the framework, the stability of the framework, and the development and learning costs of the framework.

3.3. System design

System design is the key to the development of intelligent logistics systems. It includes aspects such as API design, database design, application architecture, and more. Designing a clear and logical system maximizes application performance and reliability.

3.4. Code implementation

Before implementing the code, we need to develop appropriate modules based on requirements and design. These modules are responsible for different functions such as order management, route planning, warehouse management, and more. When implementing the code, we should use the concurrency model of the Go language to improve the performance and scalability of the application.

3.5. Testing and Deployment

After completing the code implementation, we must perform testing and deployment to ensure the quality and reliability of our application. When it comes to testing, we should write unit tests and integration tests to ensure that the application has correct behavior. In terms of deployment, we should choose an appropriate deployment environment, such as cloud servers or containers.

4. Intelligent Logistics Case

The following is a reference implementation of an intelligent logistics case:

4.1. Requirements

We want to develop an intelligent logistics system , In this system, we need to store information about goods and perform route planning and transportation based on complete orders. We also need to provide an API so that users can easily track the status of their orders.

4.2. System design

We will use the following structure to store order information:

type Order struct {

ID int
Items []string
ItemCount int
Src string
Dst string

}

us The following structure will be used to store cargo information:

type Item struct {

ID int
Name string
Weight float32
Volume float32

}

We will use the following structure to store route information:

type PathInfo struct {

Dist float32
Duration float32
Steps []string

}

We will use the following structure to store the order status:

type Status struct {

ID int
Items []string
Status string
Time string

}

4.3, Code implementation

We will use the following Go code to implement the API interface:

func handleOrder(w http.ResponseWriter, r *http.Request) {

if r.Method == "GET" {
    getOrder(w, r)
} else if r.Method == "PUT" {
    putOrder(w, r)
}

}

func getOrder(w http.ResponseWriter, r *http.Request) {

orderID, _ := strconv.Atoi(r.URL.Path[8:])
order := getOrderFromDB(orderID)
if order == nil {
    w.WriteHeader(http.StatusNotFound)
    return
}
fmt.Fprintln(w, *order)

}

func putOrder(w http.ResponseWriter, r *http.Request) {

orderID, _ := strconv.Atoi(r.URL.Path[8:])
order := getOrderFromDB(orderID)
if order == nil {
    w.WriteHeader(http.StatusNotFound)
    return
}
order.Status = "Processing"
orderTime := time.Now()
order.StatusTime = orderTime.Format("2006-01-02 15:04:05")
saveOrderToDB(order)
status := Status{
    OrderID: order.ID,
    Items: order.Items,
    Status: order.Status,
    Time: order.StatusTime,
}
saveStatusToDB(&status)
fmt.Fprintln(w, status)

}

We will use the following Go code to implement route planning and cargo transportation:

func planPath(item Item, src string, dst string) (PathInfo , error) {

return doPlanPath(item, src, dst)

}

func doPlanPath(item Item, src string, dst string) (PathInfo, error) {

pathInfo := PathInfo{}
distance, err := getDistance(src, dst)
if err != nil {
    return nil, err
}
pathInfo.Dist = distance
duration, err := getDuration(src, dst)
if err != nil {
    return nil, err
}
pathInfo.Duration = duration
steps, err := getPathSteps(src, dst)
if err != nil {
    return nil, err
}
pathInfo.Steps = steps
return &pathInfo, nil

}

We will use the following Go code to store data into the database:

func saveOrderToDB(order *Order) bool {

row := db.QueryRow("INSERT INTO orders (items, item_count, src, dst) VALUES (?, ?, ?, ?)", order.Items, order.ItemCount, order.Src, order.Dst)
err := row.Scan(&order.ID)
if err != nil {
    return false
}
return true

}

func saveStatusToDB( status *Status) bool {

row := db.QueryRow("INSERT INTO status (order_id, items, status, status_time) VALUES (?, ?, ?, ?)", status.OrderID, status.Items, status.Status, status.Time)
err := row.Scan(&status.ID)
if err != nil {
    return false
}
return true

}

4.4. Testing and deployment

After completing the code implementation, we need to test and deploy. We can use third-party testing frameworks for unit testing and integration testing. In terms of deployment, we can choose cloud servers or containers to deploy our applications.

5. Conclusion

Using Go language for intelligent logistics development has many advantages. The Go language supports highly concurrent programming and high-performance processing mechanisms, and can be easily scaled to meet growing needs. When developing, we need to carefully consider system design and requirements, choose appropriate frameworks, and use concurrent programming models to improve performance.

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