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

A method and system for querying and managing ticketing data Download PDF

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CN118152669B
CN118152669B CN202410581427.9A CN202410581427A CN118152669B CN 118152669 B CN118152669 B CN 118152669B CN 202410581427 A CN202410581427 A CN 202410581427A CN 118152669 B CN118152669 B CN 118152669B
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ticket
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information
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CN118152669A (en
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林晓琴
姚建
周仕仪
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Chengdu Qiyi Fuyao Technology Co ltd
Chengdu University
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Chengdu University
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
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    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9537Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

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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

一种票务数据查询及管理的方法及系统A method and system for querying and managing ticketing data

技术领域Technical Field

本发明涉及数据处理领域,具体是一种票务数据查询及管理的方法及系统。The present invention relates to the field of data processing, and in particular to a method and system for querying and managing ticketing data.

背景技术Background technique

随着社会的快速发展和科技的不断进步,各类票务活动日益频繁,如演唱会、体育赛事、电影等。这些活动的票务管理涉及到大量的数据,包括票务销售、座位分配、客户信息等。然而,传统的票务管理方式往往繁琐低效,无法满足现代票务市场的需求。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.

在传统的票务管理方式中,数据的查询和管理往往依赖于人工操作,不仅效率低下,而且容易出错。同时,由于缺乏有效的数据整合和分析工具,管理者往往难以获取全面的票务数据,无法做出科学的决策。此外,传统的票务系统还存在信息安全隐患,客户信息容易被泄露,给客户和票务机构带来潜在的风险。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.

发明内容Summary of the invention

本发明的目的在于克服现有技术的不足,提供一种票务数据查询及管理的方法,包括如下步骤: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:

步骤一,云端数据服务器对票务数据进行分类,将票务数据分为第一类票务数据和第二类票务数据;Step 1: The cloud data server classifies the ticket data into first-category ticket data and second-category ticket data;

步骤二,获取客户端发送的第一类票务查询信息,根据第一类票务查询信息匹配到对应的第一类票务数据,根据对应的第一类票务数据得到对应的票务状态,若为可用状态,则进入步骤三,若为不可用状态,则将不可用信息发送到对应的客户端;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;

步骤三,获取第一类票务数据和第二类票务数据的第一关联信息,并获取第一类票务查询信息中的客户端类型,若为一类客户端,则进入步骤四,若为非一类客户端,则进入步骤五;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;

步骤四,获取一类客户端关联的第二关联信息,根据得到的第一关联信息和一类客户端关联的第二关联信息,得到对应一类客户端的第二票务数据,将第一类票务数据和对应的第二类票务数据发送到对应的一类客户端,并返回选择信息,进入步骤六;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;

步骤五,获取第一类票务查询信息中包含的第三关联信息,根据第三关联信息和第一关联信息,得到对应非一类的第二票务数据,将第一类票务数据和对应的第二类票务数据发送到对应的非一类客户端,并返回选择信息;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;

步骤六,根据返回的选择信息,云端数据服务器对第一类票务数据和对应的第二类票务数据进行对应处理,完成票务数据的查询及管理。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.

进一步的,所述的获取客户端发送的第一类票务查询信息,根据第一类票务查询信息匹配到对应的第一类票务数据,根据对应的第一类票务数据得到对应的票务状态,包括: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:

其中第一类票务查询信息包括第一类票务数据、客户端类型以及与客户端关联的关联信息,所述的关联信息为第一关联信息或第二关联信息;云端数据服务器根据客户端发送的第一类票务查询信息中的第一类票务数据,判断第一类票务是否可交易,若可交易,则为可用状态,否则,则为不可用状态;所述的第一类票务数据为目的地门票数据。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.

进一步的,所述的获取第一类票务数据和第二类票务数据的第一关联信息,包括:Furthermore, the step of obtaining the first association information between the first type of ticket data and the second type of ticket data includes:

其中第二类票务数据为出行票务数据;获取第一类票务数据的匹配特征,云端数据服务器根据匹配特征,得到对应第二票务数据的第二匹配特征,匹配特征与第二匹配特征为第一类票务数据和第二类票务数据的第一关联信息;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;

所述的第一类票务数据的匹配特征为可到达目的地交通节点;所述的第二票务数据的第二匹配特征为包括可到达目的地交通节点;将可到达目的地的交通节点的第二票务数据关联到第一类票务数据,构成第一关联信息;其中的所述的可到达目的地的交通节点为:距离目的地最近的车站、码头以及机场。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.

进一步的,所述的获取一类客户端关联的第二关联信息,包括:Furthermore, the step of obtaining the second association information associated with a type of client includes:

所述的一类客户端为固定位置的客户端,一类客户端预设有第一匹配特征,所述的第一匹配特征为一类客户端关联的出行交通节点;第一匹配特征为一类客户端关联的第二关联信息。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.

进一步的,所述的根据得到的第一关联信息和一类客户端关联的第二关联信息,得到对应一类客户端的第二票务数据,包括: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:

根据第一关联信息中的可到达目的地交通节点的第二票务数据,以及第二关联信息的出行交通节点,匹配得到对应一类客户端的第二票务数据。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.

进一步的,所述的获取第一类票务查询信息中包含的第三关联信息,根据第三关联信息和第一关联信息,得到对应非一类客户端的第二票务数据,包括: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:

所述的第三关联信息为非一类客户端获取或输入非一类客户端的第三匹配特征,所述的第三匹配特征为非一类客户端获取或输入的出行交通节点,根据第一关联信息中的可到达目的地交通节点的第二票务数据,以及第三关联信息的出行交通节点,匹配得到得到对应一类客户端的第二票务数据;所述的非一类客户端为可移动的客户端。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.

一种票务数据查询及管理的系统,应用所述的一种票务数据查询及管理的方法,包括云端数据服务器、客户端模块、票务关联模块和通信模块;所述的云端数据服务器、客户端模块、票务关联模块分别与所述的通信模块通信连接。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.

优选的,所述的客户端模块包括一类客户端和非一类客户端;所述的一类客户端和非一类客户端分别与所述的通信模块连接。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.

本发明的有益效果是:通过本发明的方法和系统,票务机构可以更加便捷地查询和管理票务数据,提高管理效率,降低运营成本,同时保障客户信息的安全。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.

附图说明BRIEF DESCRIPTION OF THE DRAWINGS

图1为一种票务数据查询及管理的方法的流程示意图;FIG1 is a flow chart of a method for querying and managing ticketing data;

图2为一种票务数据查询及管理的系统的原理示意图。FIG. 2 is a schematic diagram showing the principle of a system for ticketing data query and management.

具体实施方式Detailed ways

下面结合附图进一步详细描述本发明的技术方案,但本发明的保护范围不局限于以下所述。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.

以下结合实施例对本发明的特征和性能作进一步的详细描述。The features and performance of the present invention are further described in detail below in conjunction with the embodiments.

如图1所示,一种票务数据查询及管理的方法,包括如下步骤:As shown in FIG1 , a method for querying and managing ticketing data includes the following steps:

步骤一,云端数据服务器对票务数据进行分类,将票务数据分为第一类票务数据和第二类票务数据;Step 1: The cloud data server classifies the ticket data into first-category ticket data and second-category ticket data;

步骤二,获取客户端发送的第一类票务查询信息,根据第一类票务查询信息匹配到对应的第一类票务数据,根据对应的第一类票务数据得到对应的票务状态,若为可用状态,则进入步骤三,若为不可用状态,则将不可用信息发送到对应的客户端;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;

步骤三,获取第一类票务数据和第二类票务数据的第一关联信息,并获取第一类票务查询信息中的客户端类型,若为一类客户端,则进入步骤四,若为非一类客户端,则进入步骤五;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;

步骤四,获取一类客户端关联的第二关联信息,根据得到的第一关联信息和一类客户端关联的第二关联信息,得到对应一类客户端的第二票务数据,将第一类票务数据和对应的第二类票务数据发送到对应的一类客户端,并返回选择信息,进入步骤六;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;

步骤五,获取第一类票务查询信息中包含的第三关联信息,根据第三关联信息和第一关联信息,得到对应非一类的第二票务数据,将第一类票务数据和对应的第二类票务数据发送到对应的非一类客户端,并返回选择信息;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;

步骤六,根据返回的选择信息,云端数据服务器对第一类票务数据和对应的第二类票务数据进行对应处理,完成票务数据的查询及管理。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.

所述的获取客户端发送的第一类票务查询信息,根据第一类票务查询信息匹配到对应的第一类票务数据,根据对应的第一类票务数据得到对应的票务状态,包括: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:

其中第一类票务查询信息包括第一类票务数据、客户端类型以及与客户端关联的关联信息,所述的关联信息为第一关联信息或第二关联信息;云端数据服务器根据客户端发送的第一类票务查询信息中的第一类票务数据,判断第一类票务是否可交易,若可交易,则为可用状态,否则,则为不可用状态;所述的第一类票务数据为目的地门票数据。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.

所述的获取第一类票务数据和第二类票务数据的第一关联信息,包括:The obtaining of the first associated information of the first type of ticket data and the second type of ticket data includes:

其中第二类票务数据为出行票务数据;获取第一类票务数据的匹配特征,云端数据服务器根据匹配特征,得到对应第二票务数据的第二匹配特征,匹配特征与第二匹配特征为第一类票务数据和第二类票务数据的第一关联信息;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;

所述的第一类票务数据的匹配特征为可到达目的地交通节点;所述的第二票务数据的第二匹配特征为包括可到达目的地交通节点;将可到达目的地的交通节点的第二票务数据关联到第一类票务数据,构成第一关联信息;其中的所述的可到达目的地的交通节点为:距离目的地最近的车站、码头以及机场。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.

所述的获取一类客户端关联的第二关联信息,包括:The obtaining of second association information associated with a type of client includes:

所述的一类客户端为固定位置的客户端,一类客户端预设有第一匹配特征,所述的第一匹配特征为一类客户端关联的出行交通节点;第一匹配特征为一类客户端关联的第二关联信息。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.

所述的根据得到的第一关联信息和一类客户端关联的第二关联信息,得到对应一类客户端的第二票务数据,包括: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:

根据第一关联信息中的可到达目的地交通节点的第二票务数据,以及第二关联信息的出行交通节点,匹配得到对应一类客户端的第二票务数据。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.

所述的获取第一类票务查询信息中包含的第三关联信息,根据第三关联信息和第一关联信息,得到对应非一类客户端的第二票务数据,包括: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:

所述的第三关联信息为非一类客户端获取或输入非一类客户端的第三匹配特征,所述的第三匹配特征为非一类客户端获取或输入的出行交通节点,根据第一关联信息中的可到达目的地交通节点的第二票务数据,以及第三关联信息的出行交通节点,匹配得到对应非一类客户端的第二票务数据;所述的非一类客户端为可移动的客户端。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.

如图2所示,一种票务数据查询及管理的系统,应用所述的一种票务数据查询及管理的方法,包括云端数据服务器、客户端模块、票务关联模块和通信模块;所述的云端数据服务器、客户端模块、票务关联模块分别与所述的通信模块通信连接。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.

所述的客户端模块包括一类客户端和非一类客户端;所述的一类客户端和非一类客户端分别与所述的通信模块连接。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.

具体的该方法主要包括以下步骤:The specific method mainly includes the following steps:

在云端数据服务器上,票务数据首先被细致分类。这一步骤是至关重要的,因为它为后续的数据处理和管理奠定了坚实的基础。票务数据被划分为两大类:第一类票务数据和第二类票务数据。这种分类基于数据的特性、来源、使用频率等多种因素。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.

具体来说,云端数据服务器会运用先进的算法,对海量的票务信息进行深度分析和处理。通过识别票务数据中的关键特征,服务器能够准确地将数据归类到相应的类别中。这种分类不仅有助于提升数据处理的效率,还能确保后续查询的准确性。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.

当客户端发送第一类票务查询信息时,云端数据服务器会迅速响应。服务器根据查询信息,精确匹配到对应的票务数据,并进一步检查这些数据的状态。如果票务数据显示为“可用状态”,则流程进入下一步骤;如果数据为“不可用状态”,服务器会立即将这一信息反馈给客户端。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.

在这一步骤中,服务器还会根据票务数据中的具体信息,如时间、座位等,来判断票务的可用性。这种实时的状态检查机制,确保了票务信息的准确性和时效性。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.

此外,云端数据服务器还会根据客户端发送的第一类票务查询信息中的第一类票务信息,进一步判断第一类票务是否可交易。这是一个关键的安全检查点,旨在防止无效或非法的票务交易。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.

在确认票务数据可用后,服务器会获取第一类票务数据和第二类票务数据之间的关联关系。这是通过比对数据中的关键字段和特征来实现的,例如票务编号、时间戳等。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.

同时,服务器还会识别发送查询信息的客户端类型。如果是一类客户端(如特定的合作伙伴或高级用户),则进入步骤四;对于非一类客户端,流程将转向步骤五。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.

对于一类客户端,服务器会进一步获取与其关联的第二关联信息。这些信息通常存储在服务器的安全数据库中,并通过特定的加密算法进行保护。服务器将第一关联信息与第二关联信息结合,生成对应的第二类票务数据。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.

随后,服务器会将第一类票务数据和对应的第二类票务数据一并发送给一类客户端,并等待用户的选择。这种定制化的服务确保了高级用户或合作伙伴能够获得更加详细和准确的数据。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.

对于非一类客户端,服务器会依据查询信息中包含的第三关联信息来处理请求。这些第三关联信息可能是由客户端自行获取或输入的,用于验证和识别用户身份。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.

服务器根据第三关联信息和之前获取的第一关联数据,生成对应的第二类票务数据。这些数据同样会发送给非一类客户端,以供用户选择和操作。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.

在接收到用户的选择信息后,云端数据服务器会对第一类票务数据和对应的第二类票务数据进行最终处理。这可能包括更新票务状态、记录交易信息等。至此,整个票务数据的查询及管理流程得以完成。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.

为实现上述方法,本文还提出了一种票务数据查询及管理的系统。该系统由云端数据服务器、客户端模块、票务关联模块和通信模块组成。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.

云端数据服务器作为整个系统的核心,负责存储、处理和管理所有的票务数据。其强大的计算能力和高效的存储机制,确保了数据的完整性和安全性。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.

客户端模块包括一类客户端和非一类客户端,它们通过通信模块与云端数据服务器进行交互。这种分布式架构不仅提升了系统的可扩展性,还降低了单点故障的风险。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.

票务关联模块则负责建立和维护票务数据之间的关联关系。通过精确匹配和高效索引技术,该模块能够在短时间内找到相关联的票务数据,从而提升了整个系统的响应速度。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.

通信模块则确保了各个组件之间的顺畅通信。它采用了先进的加密技术和身份验证机制,保障了数据传输的安全性和可靠性。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.

综上所述,本文提出的一种票务数据查询及管理的方法与系统,不仅提升了票务数据处理的效率和准确性,还为各类客户端提供了个性化的服务体验。随着技术的不断进步和市场需求的变化,该系统有望在未来发挥更大的作用。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.

以上所述仅是本发明的优选实施方式,应当理解本发明并非局限于本文所披露的形式,不应看作是对其他实施例的排除,而可用于各种其他组合、修改和环境,并能够在本文所述构想范围内,通过上述教导或相关领域的技术或知识进行改动。而本领域人员所进行的改动和变化不脱离本发明的精神和范围,则都应在本发明所附权利要求的保护范围内。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)

1.一种票务数据查询及管理的方法,其特征在于,包括如下步骤:1. A method for querying and managing ticketing data, characterized in that it comprises the following steps: 步骤一,云端数据服务器对票务数据进行分类,将票务数据分为第一类票务数据和第二类票务数据;Step 1: The cloud data server classifies the ticket data into first-category ticket data and second-category ticket data; 步骤二,获取客户端发送的第一类票务查询信息,根据第一类票务查询信息匹配到对应的第一类票务数据,根据对应的第一类票务数据得到对应的票务状态,若为可用状态,则进入步骤三,若为不可用状态,则将不可用信息发送到对应的客户端;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; 步骤三,获取第一类票务数据和第二类票务数据的第一关联信息,并获取第一类票务查询信息中的客户端类型,若为一类客户端,则进入步骤四,若为非一类客户端,则进入步骤五;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; 步骤四,获取一类客户端关联的第二关联信息,根据得到的第一关联信息和一类客户端关联的第二关联信息,得到对应一类客户端的第二票务数据,将第一类票务数据和对应的第二类票务数据发送到对应的一类客户端,并返回选择信息,进入步骤六;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; 步骤五,获取第一类票务查询信息中包含的第三关联信息,根据第三关联信息和第一关联信息,得到对应非一类客户端的第二票务数据,将第一类票务数据和对应的第二类票务数据发送到对应的非一类客户端,并返回选择信息;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; 步骤六,根据返回的选择信息,云端数据服务器对第一类票务数据和对应的第二类票务数据进行对应处理,完成票务数据的查询及管理;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; 所述的获取客户端发送的第一类票务查询信息,根据第一类票务查询信息匹配到对应的第一类票务数据,根据对应的第一类票务数据得到对应的票务状态,包括: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: 其中第一类票务查询信息包括第一类票务数据、客户端类型以及与客户端关联的关联信息,所述的关联信息为第一关联信息或第二关联信息;云端数据服务器根据客户端发送的第一类票务查询信息中的第一类票务数据,判断第一类票务是否可交易,若可交易,则为可用状态,否则,则为不可用状态;所述的第一类票务数据为目的地门票数据;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; 所述的获取第一类票务数据和第二类票务数据的第一关联信息,包括:The obtaining of the first associated information of the first type of ticket data and the second type of ticket data includes: 其中第二类票务数据为出行票务数据;获取第一类票务数据的匹配特征,云端数据服务器根据匹配特征,得到对应第二票务数据的第二匹配特征,匹配特征与第二匹配特征为第一类票务数据和第二类票务数据的第一关联信息;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; 所述的第一类票务数据的匹配特征为可到达目的地交通节点;所述的第二票务数据的第二匹配特征为包括可到达目的地交通节点;将可到达目的地的交通节点的第二票务数据关联到第一类票务数据,构成第一关联信息;其中的所述的可到达目的地的交通节点为:距离目的地最近的车站、码头以及机场;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; 所述的获取一类客户端关联的第二关联信息,包括:The obtaining of second association information associated with a type of client includes: 所述的一类客户端为固定位置的客户端,一类客户端预设有第一匹配特征,所述的第一匹配特征为一类客户端关联的出行交通节点;第一匹配特征为一类客户端关联的第二关联信息;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; 所述的根据得到的第一关联信息和一类客户端关联的第二关联信息,得到对应一类客户端的第二票务数据,包括: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: 根据第一关联信息中的可到达目的地交通节点的第二票务数据,以及第二关联信息的出行交通节点,匹配得到对应一类客户端的第二票务数据;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; 所述的获取第一类票务查询信息中包含的第三关联信息,根据第三关联信息和第一关联信息,得到对应非一类客户端的第二票务数据,包括: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: 所述的第三关联信息为非一类客户端获取或输入非一类客户端的第三匹配特征,所述的第三匹配特征为非一类客户端获取或输入的出行交通节点,根据第一关联信息中的可到达目的地交通节点的第二票务数据,以及第三关联信息的出行交通节点,匹配得到得到对应一类客户端的第二票务数据;所述的非一类客户端为可移动的客户端。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. 2.一种票务数据查询及管理的系统,应用权利要求1任一所述的一种票务数据查询及管理的方法,包括云端数据服务器、客户端模块、票务关联模块和通信模块;所述的云端数据服务器、客户端模块、票务关联模块分别与所述的通信模块通信连接。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.根据权利要求2所述的一种票务数据查询及管理的系统,其特征在于,所述的客户端模块包括一类客户端和非一类客户端;所述的一类客户端和非一类客户端分别与所述的通信模块连接。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.
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