CN118152669B - A method and system for querying and managing ticketing data - Google Patents

Abstract

The invention relates to the field of data processing, and discloses a ticket data query and management method and system, wherein the method comprises the following steps: the cloud data server classifies the ticket data into first class ticket data and second class ticket data; acquiring first type ticket inquiry information sent by a client, matching corresponding ticket data according to the ticket inquiry information, acquiring first association data of association relation between the first type ticket data and the second type ticket data, acquiring the type of the client in the first type ticket inquiry information, and correspondingly processing the first type ticket data and the corresponding second type ticket data according to selection information returned by different clients by a cloud data server to finish inquiry and management of the ticket data. Through the technical scheme provided by the invention, the comprehensive, efficient and safe management of ticket data can be realized.

Description

A method and system for querying and managing ticketing data

Technical Field

The present invention relates to the field of data processing, and in particular to a method and system for querying and managing ticketing data.

Background technique

With the rapid development of society and the continuous advancement of technology, various ticketing activities are becoming more and more frequent, such as concerts, sports events, movies, etc. The ticketing management of these activities involves a large amount of data, including ticket sales, seat allocation, customer information, etc. However, traditional ticketing management methods are often cumbersome and inefficient, and cannot meet the needs of the modern ticketing market.

In the traditional ticketing management mode, data query and management often rely on manual operation, which is not only inefficient but also prone to errors. At the same time, due to the lack of effective data integration and analysis tools, managers often find it difficult to obtain comprehensive ticketing data and make scientific decisions. In addition, the traditional ticketing system also has information security risks, and customer information is easily leaked, which brings potential risks to customers and ticketing agencies.

Summary of the invention

The purpose of the present invention is to overcome the deficiencies of the prior art and provide a method for ticket data query and management, comprising the following steps:

Step 1: The cloud data server classifies the ticket data into first-category ticket data and second-category ticket data;

Step 2, obtaining the first-category ticket query information sent by the client, matching the first-category ticket query information to the corresponding first-category ticket data, and obtaining the corresponding ticket status according to the corresponding first-category ticket data. If it is in an available state, proceed to step 3; if it is in an unavailable state, send unavailable information to the corresponding client;

Step 3, obtaining first association information between the first-category ticketing data and the second-category ticketing data, and obtaining the client type in the first-category ticketing query information. If it is a first-category client, proceed to step 4; if it is not a first-category client, proceed to step 5;

Step 4, obtaining the second association information associated with the first type of client, obtaining the second ticketing data corresponding to the first type of client according to the obtained first association information and the second association information associated with the first type of client, sending the first type of ticketing data and the corresponding second type of ticketing data to the corresponding first type of client, returning the selection information, and entering step 6;

Step 5, obtaining the third associated information included in the first-category ticket query information, obtaining corresponding non-class one second ticket data according to the third associated information and the first associated information, sending the first-category ticket data and the corresponding second-category ticket data to the corresponding non-class one client, and returning selection information;

Step 6: According to the returned selection information, the cloud data server processes the first type of ticketing data and the corresponding second type of ticketing data accordingly to complete the query and management of the ticketing data.

Further, the obtaining of the first-category ticket query information sent by the client, matching the first-category ticket query information to the corresponding first-category ticket data, and obtaining the corresponding ticket status according to the corresponding first-category ticket data includes:

The first-category ticket query information includes the first-category ticket data, the client type, and associated information associated with the client, wherein the associated information is the first associated information or the second associated information; the cloud data server determines whether the first-category ticket is tradable based on the first-category ticket data in the first-category ticket query information sent by the client, and if so, it is in an available state, otherwise, it is in an unavailable state; the first-category ticket data is the destination ticket data.

Furthermore, the step of obtaining the first association information between the first type of ticket data and the second type of ticket data includes:

The second type of ticketing data is travel ticketing data; the matching feature of the first type of ticketing data is obtained, and the cloud data server obtains a second matching feature corresponding to the second ticketing data according to the matching feature, and the matching feature and the second matching feature are the first association information between the first type of ticketing data and the second type of ticketing data;

The matching feature of the first type of ticket data is the transportation node that can reach the destination; the second matching feature of the second ticket data is the transportation node that can reach the destination; the second ticket data of the transportation node that can reach the destination is associated with the first type of ticket data to form the first associated information; wherein the transportation nodes that can reach the destination are: the station, pier and airport closest to the destination.

Furthermore, the step of obtaining the second association information associated with a type of client includes:

The first type of client is a client at a fixed location, and the first type of client is preset with a first matching feature, and the first matching feature is a travel traffic node associated with the first type of client; the first matching feature is the second associated information associated with the first type of client.

Furthermore, obtaining second ticketing data corresponding to a type of client according to the obtained first association information and the second association information associated with a type of client includes:

According to the second ticketing data of the reachable destination transportation node in the first association information and the travel transportation node in the second association information, the second ticketing data corresponding to the first type of client is matched and obtained.

Furthermore, the step of obtaining the third associated information included in the first type of ticket query information and obtaining the second ticket data corresponding to the non-first type client according to the third associated information and the first associated information includes:

The third associated information is the third matching feature of the non-class I client obtained or input by the non-class I client. The third matching feature is the travel transportation node obtained or input by the non-class I client. According to the second ticketing data of the destination transportation node that can be reached in the first associated information and the travel transportation node of the third associated information, the second ticketing data corresponding to the class I client is matched; the non-class I client is a mobile client.

A system for ticketing data query and management, applying the method for ticketing data query and management, comprises a cloud data server, a client module, a ticketing association module and a communication module; the cloud data server, the client module and the ticketing association module are respectively connected to the communication module for communication.

Preferably, the client module includes a first-class client and a non-first-class client; the first-class client and the non-first-class client are connected to the communication module respectively.

The beneficial effects of the present invention are: through the method and system of the present invention, ticketing agencies can query and manage ticketing data more conveniently, improve management efficiency, reduce operating costs, and at the same time ensure the security of customer information.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a flow chart of a method for querying and managing ticketing data;

FIG. 2 is a schematic diagram showing the principle of a system for ticketing data query and management.

Detailed ways

The technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following.

The features and performance of the present invention are further described in detail below in conjunction with the embodiments.

As shown in FIG1 , a method for querying and managing ticketing data includes the following steps:

Step 1: The cloud data server classifies the ticket data into first-category ticket data and second-category ticket data;

Step 2, obtaining the first-category ticket query information sent by the client, matching the first-category ticket query information to the corresponding first-category ticket data, and obtaining the corresponding ticket status according to the corresponding first-category ticket data. If it is in an available state, proceed to step 3; if it is in an unavailable state, send unavailable information to the corresponding client;

Step 3, obtaining first association information between the first-category ticketing data and the second-category ticketing data, and obtaining the client type in the first-category ticketing query information. If it is a first-category client, proceed to step 4; if it is not a first-category client, proceed to step 5;

Step 4, obtaining the second association information associated with the first type of client, obtaining the second ticketing data corresponding to the first type of client according to the obtained first association information and the second association information associated with the first type of client, sending the first type of ticketing data and the corresponding second type of ticketing data to the corresponding first type of client, returning the selection information, and entering step 6;

Step 5, obtaining the third associated information included in the first-category ticket query information, obtaining corresponding non-class one second ticket data according to the third associated information and the first associated information, sending the first-category ticket data and the corresponding second-category ticket data to the corresponding non-class one client, and returning selection information;

Step 6: According to the returned selection information, the cloud data server processes the first type of ticketing data and the corresponding second type of ticketing data accordingly to complete the query and management of the ticketing data.

The obtaining of the first-category ticket query information sent by the client, matching the first-category ticket query information to the corresponding first-category ticket data, and obtaining the corresponding ticket status according to the corresponding first-category ticket data includes:

The first-category ticket query information includes the first-category ticket data, the client type, and associated information associated with the client, wherein the associated information is the first associated information or the second associated information; the cloud data server determines whether the first-category ticket is tradable based on the first-category ticket data in the first-category ticket query information sent by the client, and if so, it is in an available state, otherwise, it is in an unavailable state; the first-category ticket data is the destination ticket data.

The obtaining of the first associated information of the first type of ticket data and the second type of ticket data includes:

The second type of ticketing data is travel ticketing data; the matching feature of the first type of ticketing data is obtained, and the cloud data server obtains a second matching feature corresponding to the second ticketing data according to the matching feature, and the matching feature and the second matching feature are the first association information between the first type of ticketing data and the second type of ticketing data;

The matching feature of the first type of ticket data is the transportation node that can reach the destination; the second matching feature of the second ticket data is the transportation node that can reach the destination; the second ticket data of the transportation node that can reach the destination is associated with the first type of ticket data to form the first associated information; wherein the transportation nodes that can reach the destination are: the station, pier and airport closest to the destination.

The obtaining of second association information associated with a type of client includes:

The first type of client is a client at a fixed location, and the first type of client is preset with a first matching feature, and the first matching feature is a travel traffic node associated with the first type of client; the first matching feature is the second associated information associated with the first type of client.

The obtaining of second ticketing data corresponding to a class of clients according to the obtained first association information and the second association information associated with a class of clients includes:

According to the second ticketing data of the reachable destination transportation node in the first association information and the travel transportation node in the second association information, the second ticketing data corresponding to the first type of client is matched and obtained.

The step of obtaining the third associated information included in the first type of ticket query information and obtaining the second ticket data corresponding to the non-first type client according to the third associated information and the first associated information includes:

The third associated information is the third matching feature of the non-class I client obtained or input by the non-class I client. The third matching feature is the travel transportation node obtained or input by the non-class I client. According to the second ticketing data of the destination transportation node that can be reached in the first associated information and the travel transportation node of the third associated information, the second ticketing data corresponding to the non-class I client is matched; the non-class I client is a mobile client.

As shown in FIG. 2 , a system for ticketing data query and management, applying the method for ticketing data query and management, includes a cloud data server, a client module, a ticketing association module and a communication module; the cloud data server, the client module and the ticketing association module are respectively connected to the communication module for communication.

The client module includes a first-class client and a non-first-class client; the first-class client and the non-first-class client are connected to the communication module respectively.

The specific method mainly includes the following steps:

On the cloud data server, the ticketing data is first carefully classified. This step is crucial because it lays a solid foundation for subsequent data processing and management. The ticketing data is divided into two categories: first-class ticketing data and second-class ticketing data. This classification is based on multiple factors such as the characteristics, source, and frequency of use of the data.

Specifically, the cloud data server uses advanced algorithms to deeply analyze and process the massive amount of ticket information. By identifying key features in the ticket data, the server can accurately classify the data into corresponding categories. This classification not only helps improve the efficiency of data processing, but also ensures the accuracy of subsequent queries.

When the client sends the first type of ticket query information, the cloud data server will respond quickly. The server accurately matches the corresponding ticket data based on the query information and further checks the status of this data. If the ticket data shows "available status", the process proceeds to the next step; if the data is "unavailable status", the server will immediately feedback this information to the client.

In this step, the server will also determine the availability of tickets based on specific information in the ticket data, such as time, seat, etc. This real-time status check mechanism ensures the accuracy and timeliness of ticket information.

In addition, the cloud data server will further determine whether the first-category ticket is tradable based on the first-category ticket information in the first-category ticket query information sent by the client. This is a key security checkpoint designed to prevent invalid or illegal ticket transactions.

After confirming that the ticket data is available, the server will obtain the association between the first type of ticket data and the second type of ticket data. This is achieved by comparing key fields and features in the data, such as ticket number, timestamp, etc.

At the same time, the server will also identify the type of client that sent the query information. If it is a Class I client (such as a specific partner or advanced user), it will proceed to step 4; for non-Class I clients, the process will go to step 5.

For a type of client, the server will further obtain second associated information associated with it. This information is usually stored in the server's security database and protected by a specific encryption algorithm. The server combines the first associated information with the second associated information to generate corresponding second type ticket data.

The server will then send the first-category ticket data and the corresponding second-category ticket data to the first-category client and wait for the user's selection. This customized service ensures that advanced users or partners can obtain more detailed and accurate data.

For non-class I clients, the server will process the request based on the third-party associated information included in the query information. This third-party associated information may be obtained or entered by the client itself and is used to verify and identify the user's identity.

The server generates corresponding second-category ticket data according to the third association information and the first association data previously obtained, and these data are also sent to non-class I clients for user selection and operation.

After receiving the user's selection information, the cloud data server will perform final processing on the first type of ticket data and the corresponding second type of ticket data. This may include updating the ticket status, recording transaction information, etc. At this point, the entire ticket data query and management process is completed.

To implement the above method, this paper also proposes a ticketing data query and management system. The system consists of a cloud data server, a client module, a ticketing association module and a communication module.

As the core of the entire system, the cloud data server is responsible for storing, processing and managing all ticketing data. Its powerful computing power and efficient storage mechanism ensure the integrity and security of the data.

The client module includes a class I client and a non-class I client, which interact with the cloud data server through the communication module. This distributed architecture not only improves the scalability of the system, but also reduces the risk of single point failure.

The ticket association module is responsible for establishing and maintaining the association between ticket data. Through precise matching and efficient indexing technology, the module can find related ticket data in a short time, thereby improving the response speed of the entire system.

The communication module ensures smooth communication between various components. It uses advanced encryption technology and identity authentication mechanism to ensure the security and reliability of data transmission.

In summary, the method and system for ticket data query and management proposed in this paper not only improves the efficiency and accuracy of ticket data processing, but also provides personalized service experience for various clients. With the continuous advancement of technology and changes in market demand, the system is expected to play a greater role in the future.

The above is only a preferred embodiment of the present invention. It should be understood that the present invention is not limited to the form disclosed herein, and should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications and environments, and can be modified within the scope of the concept described herein through the above teachings or the technology or knowledge of the relevant field. The changes and modifications made by those skilled in the art do not deviate from the spirit and scope of the present invention, and should be within the scope of protection of the claims attached to the present invention.

Claims (3)

1. A method for querying and managing ticketing data, characterized in that it comprises the following steps: Step 1: The cloud data server classifies the ticket data into first-category ticket data and second-category ticket data; Step 2, obtaining the first-category ticket query information sent by the client, matching the first-category ticket query information to the corresponding first-category ticket data, and obtaining the corresponding ticket status according to the corresponding first-category ticket data. If it is in an available state, proceed to step 3; if it is in an unavailable state, send unavailable information to the corresponding client; Step 3, obtaining first association information between the first-category ticketing data and the second-category ticketing data, and obtaining the client type in the first-category ticketing query information. If it is a first-category client, proceed to step 4; if it is not a first-category client, proceed to step 5; Step 4, obtaining the second association information associated with the first type of client, obtaining the second ticketing data corresponding to the first type of client according to the obtained first association information and the second association information associated with the first type of client, sending the first type of ticketing data and the corresponding second type of ticketing data to the corresponding first type of client, returning the selection information, and entering step 6; Step 5, obtaining the third associated information included in the first-category ticket query information, obtaining the second ticket data corresponding to the non-class 1 client according to the third associated information and the first associated information, sending the first-category ticket data and the corresponding second-category ticket data to the corresponding non-class 1 client, and returning the selection information; Step 6: According to the returned selection information, the cloud data server processes the first type of ticketing data and the corresponding second type of ticketing data accordingly to complete the query and management of the ticketing data; The obtaining of the first-category ticket query information sent by the client, matching the first-category ticket query information to the corresponding first-category ticket data, and obtaining the corresponding ticket status according to the corresponding first-category ticket data includes: The first-category ticket query information includes the first-category ticket data, the client type, and the associated information associated with the client, wherein the associated information is the first associated information or the second associated information; the cloud data server determines whether the first-category ticket is tradable based on the first-category ticket data in the first-category ticket query information sent by the client, and if so, it is in an available state, otherwise, it is in an unavailable state; the first-category ticket data is the destination ticket data; The obtaining of the first associated information of the first type of ticket data and the second type of ticket data includes: The second type of ticketing data is travel ticketing data; the matching feature of the first type of ticketing data is obtained, and the cloud data server obtains a second matching feature corresponding to the second ticketing data according to the matching feature, and the matching feature and the second matching feature are the first association information between the first type of ticketing data and the second type of ticketing data; The matching feature of the first type of ticket data is a transportation node that can reach the destination; the second matching feature of the second ticket data includes a transportation node that can reach the destination; the second ticket data of the transportation node that can reach the destination is associated with the first type of ticket data to form the first associated information; wherein the transportation node that can reach the destination is: the nearest station, dock and airport to the destination; The obtaining of second association information associated with a type of client includes: The first type of client is a client at a fixed location, and the first type of client is preset with a first matching feature, and the first matching feature is a travel node associated with the first type of client; the first matching feature is second associated information associated with the first type of client; The obtaining of second ticketing data corresponding to a class of clients according to the obtained first association information and the second association information associated with a class of clients includes: According to the second ticketing data of the reachable destination transportation node in the first association information and the travel transportation node in the second association information, the second ticketing data corresponding to the first type of client is matched; The step of obtaining the third associated information included in the first type of ticket query information and obtaining the second ticket data corresponding to the non-first type client according to the third associated information and the first associated information includes: The third associated information is the third matching feature of the non-class I client obtained or input by the non-class I client. The third matching feature is the travel transportation node obtained or input by the non-class I client. According to the second ticketing data of the destination transportation node that can be reached in the first associated information and the travel transportation node of the third associated information, the second ticketing data corresponding to the class I client is matched; the non-class I client is a mobile client. 2. A system for ticketing data query and management, applying a method for ticketing data query and management as described in any one of claim 1, comprising a cloud data server, a client module, a ticketing association module and a communication module; the cloud data server, the client module, and the ticketing association module are respectively communicatively connected to the communication module. 3. A ticketing data query and management system according to claim 2, characterized in that the client module includes a class I client and a non-class I client; the class I client and the non-class I client are respectively connected to the communication module.