CN115660760A - Block chain-based value-added tax invoice invoicing prediction method and device - Google Patents
Block chain-based value-added tax invoice invoicing prediction method and deviceDownload PDFInfo
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Abstract
Translated fromChinese
Description
Translated fromChinese技术领域technical field
本发明涉及区块链技术领域，尤其涉及基于区块链的增值税发票的开票预测方法及装置。The invention relates to the technical field of block chains, in particular to a method and device for invoicing prediction of value-added tax invoices based on block chains.
背景技术Background technique
本部分旨在为权利要求书中陈述的本发明实施例提供背景或上下文。此处的描述不因为包括在本部分中就承认是现有技术。This section is intended to provide a background or context to embodiments of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section.
对于金融机构来说，客户在通过一些业务渠道去办理业务，通常会为客户开具相应的发票，而且对于大部分客户来说，很多客户会因为各种因素，会选择一段时间对这期间的交易进行开票，因此，客户也需要经常往返于开票机构办理开票业务，但是各个客户的情况不同，业务人员也不能很好的了解客户的情况。For financial institutions, when customers handle business through some business channels, they usually issue corresponding invoices for customers, and for most customers, many customers will choose a period of time for transactions during this period due to various factors. Therefore, customers also need to go to and from the billing agency to handle the billing business, but the situation of each customer is different, and the business personnel cannot understand the customer's situation well.
例如，在客户前往网点后，因网点中并未预先准备出客户的可开票交易数据，导致客户需等待较长时间，降低了客户的增值税发票的开票效率，影响了客户体验。For example, after a customer goes to the branch, the branch does not prepare the customer's billable transaction data in advance, causing the customer to wait for a long time, which reduces the efficiency of the customer's VAT invoice billing and affects the customer experience.
因此，如何更好的辅助业务人员了解客户的开票需求，并推送给开票机构业务人员是一个亟待解决的问题。Therefore, how to better assist the business personnel to understand the customer's billing needs and push them to the business personnel of the billing agency is an urgent problem to be solved.
发明内容Contents of the invention
本发明实施例提供一种基于区块链的增值税发票的开票预测方法，用以提升客户的增值税发票的开票效率，改善客户体验，提升网点机构的服务质量，提升服务效率，该方法包括：The embodiment of the present invention provides a blockchain-based value-added tax invoice billing prediction method, which is used to improve the billing efficiency of customers' value-added tax invoices, improve customer experience, improve the service quality of network institutions, and improve service efficiency. The method includes :
从区块链中，获取客户的增值税交易数据；Obtain the customer's VAT transaction data from the blockchain;
对客户的增值税交易数据，进行数据清理处理和数据特征衍生处理，得到对应增值税交易数据的交易数据特征；Perform data cleaning processing and data feature derivation processing on the customer's value-added tax transaction data to obtain the transaction data characteristics corresponding to the value-added tax transaction data;
将对应增值税交易数据的交易数据特征，发送至增值税发票的开票预测模型，得到对应增值税交易数据的预测开票时刻和预测开票机构；所述增值税发票的开票预测模型通过增值税发票的开票历史数据，对神经网络模型进行训练得到；所述增值税发票的开票历史数据包括：不同增值税交易历史数据的交易数据特征、和与不同增值税交易历史数据对应的历史开票时刻和历史开票机构；Send the transaction data characteristics corresponding to the value-added tax transaction data to the billing prediction model of the value-added tax invoice, and obtain the predicted billing time and the predicted billing agency corresponding to the value-added tax transaction data; the billing prediction model of the value-added tax invoice is passed The billing history data is obtained by training the neural network model; the billing history data of the value-added tax invoices includes: the transaction data characteristics of different value-added tax transaction history data, and the historical billing time and historical billing time corresponding to different value-added tax transaction history data mechanism;
在所述预测开票时刻之前，将携带有用户的增值税交易数据和所述预测开票时刻的通知信息，发送给所述预测开票机构Before the predicted billing time, send the notification information carrying the user's value-added tax transaction data and the predicted billing time to the predicted billing agency
本发明实施例还提供一种基于区块链的增值税发票的开票预测装置，用以提升客户的增值税发票的开票效率，改善客户体验，提升网点机构的服务质量，提升服务效率，该装置包括：The embodiment of the present invention also provides a block chain-based value-added tax invoice billing prediction device, which is used to improve the billing efficiency of customers' value-added tax invoices, improve customer experience, improve the service quality of network institutions, and improve service efficiency. include:
增值税交易数据获取模块，用于从区块链中，获取客户的增值税交易数据；The value-added tax transaction data acquisition module is used to obtain the customer's value-added tax transaction data from the blockchain;
数据清理处理和数据特征衍生处理模块，用于对客户的增值税交易数据，进行数据清理处理和数据特征衍生处理，得到对应增值税交易数据的交易数据特征；The data cleaning processing and data feature derivation processing module is used to perform data cleaning processing and data feature derivation processing on the value-added tax transaction data of customers, and obtain the transaction data features corresponding to the value-added tax transaction data;
预测开票时刻和预测开票机构预测模块，用于将对应增值税交易数据的交易数据特征，发送至增值税发票的开票预测模型，得到对应增值税交易数据的预测开票时刻和预测开票机构；所述增值税发票的开票预测模型通过增值税发票的开票历史数据，对神经网络模型进行训练得到；所述增值税发票的开票历史数据包括：不同增值税交易历史数据的交易数据特征、和与不同增值税交易历史数据对应的历史开票时刻和历史开票机构；The predicted billing time and predicted billing agency prediction module is used to send the transaction data characteristics corresponding to the value-added tax transaction data to the billing prediction model of the value-added tax invoice, and obtain the predicted billing time and the predicted billing agency corresponding to the value-added tax transaction data; The billing prediction model of value-added tax invoices is obtained by training the neural network model through the billing history data of value-added tax invoices; the billing history data of said value-added tax invoices includes: transaction data characteristics of different value-added tax transaction history data, and different value-added The historical billing time and historical billing agency corresponding to the historical tax transaction data;
通知信息发送模块，用于在所述预测开票时刻之前，将携带有用户的增值税交易数据和所述预测开票时刻的通知信息，发送给所述预测开票机构。The notification information sending module is configured to send the notification information carrying the user's value-added tax transaction data and the predicted billing time to the predicted billing institution before the predicted billing time.
本发明实施例还提供一种计算机设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现上述基于区块链的增值税发票的开票预测方法。The embodiment of the present invention also provides a computer device, including a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the computer program, the above-mentioned blockchain-based value-added Billing forecast method for tax invoices.
本发明实施例还提供一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，所述计算机程序被处理器执行时实现上述基于区块链的增值税发票的开票预测方法。The embodiment of the present invention also provides a computer-readable storage medium, the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned blockchain-based value-added tax invoice billing prediction method is realized.
本发明实施例还提供一种计算机程序产品，所述计算机程序产品包括计算机程序，所述计算机程序被处理器执行时实现上述基于区块链的增值税发票的开票预测方法。The embodiment of the present invention also provides a computer program product, the computer program product includes a computer program, and when the computer program is executed by a processor, the above-mentioned blockchain-based value-added tax invoice billing prediction method is realized.
本发明实施例中，从区块链中，获取客户的增值税交易数据；对客户的增值税交易数据，进行数据清理处理和数据特征衍生处理，得到对应增值税交易数据的交易数据特征；将对应增值税交易数据的交易数据特征，发送至增值税发票的开票预测模型，得到对应增值税交易数据的预测开票时刻和预测开票机构；所述增值税发票的开票预测模型通过增值税发票的开票历史数据，对神经网络模型进行训练得到；所述增值税发票的开票历史数据包括：不同增值税交易历史数据的交易数据特征、和与不同增值税交易历史数据对应的历史开票时刻和历史开票机构；在所述预测开票时刻之前，将携带有用户的增值税交易数据和所述预测开票时刻的通知信息，发送给所述预测开票机构，从而可预测出客户的未来可能进行开票的预测开票时刻和预测开票机构，并在预测开票时刻之前，向预测开票机构发送通知信息和该客户的，使得业务人员可以及时了解哪些客户可能会到机构办理开票业务，解决了现有技术下因机构未预先准备出客户的可开票交易数据，导致客户需等待较长时间的问题，提升了客户的增值税发票的开票效率，改善了客户体验，有利于提升网点机构的服务质量，提升服务效率。In the embodiment of the present invention, the value-added tax transaction data of the customer is obtained from the block chain; data cleaning processing and data feature derivation processing are performed on the value-added tax transaction data of the customer to obtain the transaction data features corresponding to the value-added tax transaction data; The transaction data characteristics corresponding to the value-added tax transaction data are sent to the billing prediction model of the value-added tax invoice, and the predicted billing time and the predicted billing agency corresponding to the value-added tax transaction data are obtained; the billing prediction model of the value-added tax invoice is passed through the billing of the value-added tax invoice Historical data, obtained by training the neural network model; the billing historical data of the value-added tax invoices includes: the transaction data characteristics of different value-added tax transaction historical data, and the historical billing time and historical billing institutions corresponding to different value-added tax transaction historical data ; Before the predicted billing time, the notification information carrying the user's value-added tax transaction data and the predicted billing time will be sent to the predicted billing agency, so that the predicted billing time of the customer's future possible billing can be predicted and the forecasted billing agency, and before the forecasted billing time, send the notification information and the customer's information to the forecasted billing agency, so that the business personnel can know in time which customers may go to the agency to handle the billing business, and solve the problem of the existing technology. Preparing the customer's invoiceable transaction data leads to the problem that customers have to wait for a long time, which improves the invoicing efficiency of the customer's value-added tax invoice, improves the customer experience, and is conducive to improving the service quality and service efficiency of outlets.
附图说明Description of drawings
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。在附图中：In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work. In the attached picture:
图1为本发明实施例中一种基于区块链的增值税发票的开票预测方法的流程示意图；Fig. 1 is a schematic flow chart of a block chain-based billing prediction method for value-added tax invoices in an embodiment of the present invention;
图2为本发明实施例中一种基于区块链的增值税发票的开票预测方法的具体示例图；Fig. 2 is a specific example diagram of a billing prediction method based on a blockchain-based value-added tax invoice in an embodiment of the present invention;
图3为本发明实施例中一种基于区块链的增值税发票的开票预测方法的具体示例图；3 is a specific example diagram of a blockchain-based billing prediction method for value-added tax invoices in an embodiment of the present invention;
图4为本发明实施例中一种基于区块链的增值税发票的开票预测方法的具体示例图；FIG. 4 is a specific example diagram of a blockchain-based billing prediction method for value-added tax invoices in an embodiment of the present invention;
图5为本发明实施例中一种基于区块链的增值税发票的开票预测装置的结构示意图；5 is a schematic structural diagram of a block chain-based billing prediction device for value-added tax invoices in an embodiment of the present invention;
图6为本发明实施例中一种基于区块链的增值税发票的开票预测装置的具体示例图；6 is a specific example diagram of a block chain-based billing prediction device for value-added tax invoices in an embodiment of the present invention;
图7为本发明实施例中一种基于区块链的增值税发票的开票预测装置的具体示例图；7 is a specific example diagram of a block chain-based billing prediction device for value-added tax invoices in an embodiment of the present invention;
图8为本发明实施例中一种基于区块链的增值税发票的开票预测装置的具体示例图；8 is a specific example diagram of a block chain-based billing prediction device for value-added tax invoices in an embodiment of the present invention;
图9为本发明实施例中一种基于区块链的增值税发票的开票预测装置的具体示例图；FIG. 9 is a specific example diagram of a block chain-based billing prediction device for value-added tax invoices in an embodiment of the present invention;
图10为本发明实施例中用于基于区块链的增值税发票的开票预测的计算机设备示意图。Fig. 10 is a schematic diagram of computer equipment used for billing prediction of value-added tax invoices based on blockchain in an embodiment of the present invention.
具体实施方式Detailed ways
为使本发明实施例的目的、技术方案和优点更加清楚明白，下面结合附图对本发明实施例做进一步详细说明。在此，本发明的示意性实施例及其说明用于解释本发明，但并不作为对本发明的限定。In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention.
本文中术语“和/或”，仅仅是描述一种关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。另外，本文中术语“至少一种”表示多种中的任意一种或多种中的至少两种的任意组合，例如，包括A、B、C中的至少一种，可以表示包括从A、B和C构成的集合中选择的任意一个或多个元素。The term "and/or" in this article only describes an association relationship, which means that there can be three kinds of relationships, for example, A and/or B can mean: there is A alone, A and B exist at the same time, and B exists alone. situation. In addition, the term "at least one" herein means any one of a variety or any combination of at least two of the more, for example, including at least one of A, B, and C, which may mean including from A, Any one or more elements selected from the set formed by B and C.
在本说明书的描述中，所使用的“包含”、“包括”、“具有”、“含有”等，均为开放性的用语，即意指包含但不限于。参考术语“一个实施例”、“一个具体实施例”、“一些实施例”、“例如”等的描述意指结合该实施例或示例描述的具体特征、结构或者特点包含于本申请的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不一定指的是相同的实施例或示例。而且，描述的具体特征、结构或者特点可以在任何的一个或多个实施例或示例中以合适的方式结合。各实施例中涉及的步骤顺序用于示意性说明本申请的实施，其中的步骤顺序不作限定，可根据需要作适当调整。In the description of this specification, the words "comprising", "comprising", "having", "containing" and so on are all open terms, meaning including but not limited to. A description referring to the terms "one embodiment," "a particular embodiment," "some embodiments," "for example," etc., means that a particular feature, structure, or characteristic described in connection with the embodiment or example is included in at least one of the present application. Examples or examples. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the described specific features, structures or characteristics may be combined in any suitable manner in any one or more embodiments or examples. The sequence of steps involved in each embodiment is used to schematically illustrate the implementation of the present application, and the sequence of steps therein is not limited and can be appropriately adjusted as required.
本申请技术方案中对数据的获取、存储、使用、处理等均符合国家法律法规的相关规定。The acquisition, storage, use, and processing of data in the technical solution of this application all comply with the relevant provisions of national laws and regulations.
对于金融机构来说，客户在通过一些业务渠道去办理业务，通常会为客户开具相应的发票，而且对于大部分客户来说，很多客户会因为各种因素，会选择一段时间对这期间的交易进行开票，因此，客户也需要经常往返于开票机构办理开票业务，但是各个客户的情况不同，业务人员也不能很好的了解客户的情况，因此如何更好的辅助业务人员了解客户的开票需求，并推送给开票机构业务人员是一个亟待解决的问题。For financial institutions, when customers handle business through some business channels, they usually issue corresponding invoices for customers, and for most customers, many customers will choose a period of time for transactions during this period due to various factors. Therefore, customers also need to go to and from the billing agency to handle the billing business, but the situation of each customer is different, and the business personnel cannot understand the customer's situation well, so how to better assist the business personnel to understand the customer's billing needs, And pushing it to the business personnel of the billing agency is an urgent problem to be solved.
为了解决上述问题，本发明实施例提供了一种基于区块链的增值税发票的开票预测方法，用以提升客户的增值税发票的开票效率，改善客户体验，提升网点机构的服务质量，提升服务效率，参见图1，该方法可以包括：In order to solve the above problems, the embodiment of the present invention provides a blockchain-based value-added tax invoice billing prediction method, which is used to improve the billing efficiency of customers' value-added tax invoices, improve customer experience, improve the service quality of outlets, and improve Service efficiency, see Figure 1, the method can include:
步骤101：从区块链中，获取客户的增值税交易数据；Step 101: Obtain the customer's value-added tax transaction data from the blockchain;
步骤102：对客户的增值税交易数据，进行数据清理处理和数据特征衍生处理，得到对应增值税交易数据的交易数据特征；Step 102: Perform data cleaning and data feature derivation processing on the value-added tax transaction data of the customer to obtain the transaction data features corresponding to the value-added tax transaction data;
步骤103：将对应增值税交易数据的交易数据特征，发送至增值税发票的开票预测模型，得到对应增值税交易数据的预测开票时刻和预测开票机构；上述增值税发票的开票预测模型通过增值税发票的开票历史数据，对神经网络模型进行训练得到；上述增值税发票的开票历史数据包括：不同增值税交易历史数据的交易数据特征、和与不同增值税交易历史数据对应的历史开票时刻和历史开票机构；Step 103: Send the transaction data characteristics corresponding to the value-added tax transaction data to the billing prediction model of the value-added tax invoice, and obtain the predicted billing time and the predicted billing agency corresponding to the value-added tax transaction data; The historical data of billing of invoices is obtained by training the neural network model; the historical data of billing of the above-mentioned value-added tax invoices includes: the transaction data characteristics of different historical data of value-added tax transactions, and the historical billing time and history corresponding to different historical data of value-added tax transactions billing agency;
步骤104：在上述预测开票时刻之前，将携带有用户的增值税交易数据和上述预测开票时刻的通知信息，发送给上述预测开票机构。Step 104: Send the notification information carrying the user's value-added tax transaction data and the forecasted billing time to the forecasted billing institution before the forecasted billing time.
本发明实施例中，从区块链中，获取客户的增值税交易数据；对客户的增值税交易数据，进行数据清理处理和数据特征衍生处理，得到对应增值税交易数据的交易数据特征；将对应增值税交易数据的交易数据特征，发送至增值税发票的开票预测模型，得到对应增值税交易数据的预测开票时刻和预测开票机构；上述增值税发票的开票预测模型通过增值税发票的开票历史数据，对神经网络模型进行训练得到；上述增值税发票的开票历史数据包括：不同增值税交易历史数据的交易数据特征、和与不同增值税交易历史数据对应的历史开票时刻和历史开票机构；在上述预测开票时刻之前，将携带有用户的增值税交易数据和上述预测开票时刻的通知信息，发送给上述预测开票机构，从而可预测出客户的未来可能进行开票的预测开票时刻和预测开票机构，并在预测开票时刻之前，向预测开票机构发送通知信息和该客户的，使得业务人员可以及时了解哪些客户可能会到机构办理开票业务，解决了现有技术下因机构未预先准备出客户的可开票交易数据，导致客户需等待较长时间的问题，提升了客户的增值税发票的开票效率，改善了客户体验，有利于提升网点机构的服务质量，提升服务效率。In the embodiment of the present invention, the value-added tax transaction data of the customer is obtained from the block chain; data cleaning processing and data feature derivation processing are performed on the value-added tax transaction data of the customer to obtain the transaction data features corresponding to the value-added tax transaction data; The transaction data characteristics corresponding to the value-added tax transaction data are sent to the billing prediction model of the value-added tax invoice, and the predicted billing time and the predicted billing agency corresponding to the value-added tax transaction data are obtained; The data is obtained by training the neural network model; the historical billing data of the above-mentioned value-added tax invoices include: the transaction data characteristics of different value-added tax transaction historical data, and the historical billing time and historical billing institutions corresponding to different value-added tax transaction historical data; Before the above-mentioned predicted billing time, the notification information carrying the user's value-added tax transaction data and the above-mentioned predicted billing time will be sent to the above-mentioned predicted billing agency, so that the predicted billing time and the forecasted billing agency that may be billed by the customer in the future can be predicted, And before the predicted billing time, send the notification information and the customer's information to the predicted billing agency, so that the business personnel can know in time which customers may go to the agency to handle the billing business, and solve the problem that the agency has not prepared the customer in advance. Invoicing transaction data causes customers to wait for a long time, which improves the invoicing efficiency of customers' value-added tax invoices, improves customer experience, and is conducive to improving the service quality of outlets and improving service efficiency.
目前，增值税是以增值额为税基，形成“环环征收、层层抵扣”的链条抵扣机制，因此不论是个人还是企业，为了能够最大限度的进行报销或者抵扣税额，都会积极向销售方索取增值税发票。而增值税发票交易对应的交易数据包含了客户信息(包括客户号、客户类型、客户的购方税务信息(一般公司客户)、账户信息(账号、卡号、开户行等信息)、购买方的消费信息(消费的地区、货物或应税劳务名称、消费金额、消费金额应缴纳税额、税率、消费时间以及交易明细等信息)、销售方税务信息以及客户的开票时间、开票机构、开票人、开票模式(纸票、电票等)等等信息，因此本发明实施例可将增值税交易数据、发票数据以及开票信息等记录到区块链上，通过这个这些历史数据，可以通过神经网络算法，预测出所有客户的未来可能开票时间以及开票机构信息，并将预测的结果进行记录，同时在预测开票时间的前一天或者当天，提前同步给开票机构，业务人员可以及时了解哪些客户可能会到机构办理开票业务，或者可以联系客户是否需要进行开票，客户无需在往返开票机构，提升客户体验，提升网点机构的服务质量，提升服务效率。At present, the value-added tax is based on the value-added amount as the tax base, forming a chain deduction mechanism of "ring collection and layer-by-layer deduction". Therefore, both individuals and enterprises will actively Request a VAT invoice from the seller. The transaction data corresponding to the value-added tax invoice transaction includes customer information (including customer number, customer type, customer's buyer tax information (general corporate customers), account information (account number, card number, account opening bank, etc.), buyer's consumption Information (consumption area, name of goods or taxable services, consumption amount, tax amount payable on consumption amount, tax rate, consumption time, transaction details, etc.), tax information of the seller and customer’s invoicing time, invoicing agency, invoicing person, invoicing Mode (paper ticket, electronic ticket, etc.) and other information, so the embodiment of the present invention can record value-added tax transaction data, invoice data, and billing information on the block chain. Through these historical data, neural network algorithms can be used to Predict the possible future billing time and billing agency information of all customers, and record the predicted results. At the same time, the day before or the day before the predicted billing time, it will be synchronized to the billing agency in advance, so that business personnel can know in time which customers may come to the agency Handle the billing business, or you can contact the customer whether they need to be billed, and the customer does not need to go to and from the billing agency, so as to improve customer experience, improve the service quality of outlets, and improve service efficiency.
具体实施时，首先从区块链中，获取客户的增值税交易数据。In the specific implementation, firstly, the customer's value-added tax transaction data is obtained from the blockchain.
在一个实施例中，上述增值税交易数据为：携带有客户信息、账户信息和交易入账机构信息的用户进行交易的可开票交易数据。In one embodiment, the above-mentioned value-added tax transaction data is: billable transaction data carried out by a user carrying customer information, account information and transaction entry institution information.
在一个实施例中，上述区块链包括客户节点和银行节点；上述客户节点存储客户的客户信息和账户信息；上述银行节点存储有客户在对应该银行节点的银行中进行交易的可开票交易数据。In one embodiment, the aforementioned block chain includes a client node and a bank node; the aforementioned client node stores customer information and account information of the client; the aforementioned bank node stores the billable transaction data that the client conducts transactions in the bank corresponding to the bank node .
在一个实施例中，从区块链中，获取客户的增值税交易数据，如图2所示，包括：In one embodiment, the customer's value-added tax transaction data is obtained from the blockchain, as shown in Figure 2, including:
步骤201：向区块链中的不同银行节点，发送用于请求该银行节点中客户的可开票交易数据的数据请求指令；Step 201: Send a data request instruction for requesting billable transaction data of customers in the bank node to different bank nodes in the blockchain;
步骤202：接收不同银行节点针对上述数据请求指令反馈的客户的可开票交易数据；Step 202: receiving the customer's billable transaction data fed back by different bank nodes in response to the above data request instruction;
步骤203：对不同银行节点反馈的客户的可开票交易数据，进行汇总，得到客户的增值税交易数据。Step 203: Summarize the customer's billable transaction data fed back by different bank nodes to obtain the customer's value-added tax transaction data.
在上述实施例中，可首先接收增值税交易数据。对于银行发票系统来讲，可接收全行涉及所有涉及需要开票的所有的交易上游的可开票交易数据。发票系统需要接收以上这些系统的所有交易并且含价税分离的数据，数据项需要包含客户信息、账户信息、交易入账机构信息等信息。In the embodiments described above, VAT transaction data may first be received. For the bank invoice system, it can receive invoiceable transaction data related to all upstream transactions that need to be invoiced. The invoice system needs to receive all the transactions of the above systems and the data including price and tax separation. The data items need to include customer information, account information, transaction account information and other information.
具体实施时，在从区块链中，获取客户的增值税交易数据后，对客户的增值税交易数据，进行数据清理处理和数据特征衍生处理，得到对应增值税交易数据的交易数据特征。During specific implementation, after obtaining the customer's value-added tax transaction data from the blockchain, data cleaning processing and data feature derivation processing are performed on the customer's value-added tax transaction data to obtain the transaction data characteristics corresponding to the value-added tax transaction data.
在上述实施例中，通过对客户的增值税交易数据，进行数据清理处理和数据特征衍生处理，可预先处理开票数据。在为客户进行开票业务办理时，需要通过区块链记录下客户的开票交易、发票信息、开票模式、开票机构和开票时间等信息，作为后续建立预测模型的模型训练数据。In the above embodiment, the billing data can be pre-processed by performing data cleaning processing and data feature derivation processing on the customer's value-added tax transaction data. When handling the billing business for customers, it is necessary to record the customer's billing transactions, invoice information, billing mode, billing agency, and billing time through the blockchain, as model training data for subsequent establishment of predictive models.
具体实施时，在对客户的增值税交易数据，进行数据清理处理和数据特征衍生处理，得到对应增值税交易数据的交易数据特征后，将对应增值税交易数据的交易数据特征，发送至增值税发票的开票预测模型，得到对应增值税交易数据的预测开票时刻和预测开票机构；上述增值税发票的开票预测模型通过增值税发票的开票历史数据，对神经网络模型进行训练得到；上述增值税发票的开票历史数据包括：不同增值税交易历史数据的交易数据特征、和与不同增值税交易历史数据对应的历史开票时刻和历史开票机构。During specific implementation, after performing data cleaning and data feature derivation processing on the customer's value-added tax transaction data, after obtaining the transaction data characteristics corresponding to the value-added tax transaction data, the transaction data characteristics corresponding to the value-added tax transaction data are sent to the value-added tax The billing prediction model of the invoice obtains the predicted billing time and the predicted billing agency corresponding to the value-added tax transaction data; the above-mentioned value-added tax invoice billing prediction model is obtained by training the neural network model through the historical data of value-added tax invoices; the above-mentioned value-added tax invoice The historical billing data includes: the transaction data characteristics of different value-added tax transaction historical data, and the historical billing time and historical billing institution corresponding to different value-added tax transaction historical data.
在一个实施例中，还包括：In one embodiment, also includes:
将用户的增值税交易数据、预测开票时刻和预测开票机构，上传至区块链的客户节点。Upload the user's value-added tax transaction data, predicted billing time and predicted billing agency to the customer node of the blockchain.
在上述实施例中，可将用户的增值税交易数据、预测开票时刻和预测开票机构，上传至区块链的客户节点，实现对数据的实时记录。In the above embodiment, the user's value-added tax transaction data, predicted billing time and predicted billing agency can be uploaded to the customer node of the blockchain to realize real-time recording of the data.
在一个实施例中，还包括：In one embodiment, also includes:
按如下方式训练和验证上述增值税发票的开票预测模型：Train and validate the billing prediction model for the above VAT invoices as follows:
将增值税发票的开票历史数据作为训练集，对上述神经网络模型进行训练，得到训练好的增值税发票的开票预测模型；Using the billing historical data of value-added tax invoices as a training set, the above-mentioned neural network model is trained to obtain a well-trained billing prediction model of value-added tax invoices;
将增值税发票的开票历史数据作为验证集，对训练好的增值税发票的开票预测模型，进行验证，在验证通过后，得到验证好的增值税发票的开票预测模型；Use the billing history data of value-added tax invoices as the verification set, and verify the billing prediction model of the trained value-added tax invoices, and obtain the verified billing prediction model of value-added tax invoices after the verification is passed;
将用户的增值税交易数据，发送至增值税发票的开票预测模型，得到对应增值税交易数据的预测开票时刻和预测开票机构，包括：Send the user's value-added tax transaction data to the billing prediction model of the value-added tax invoice, and obtain the predicted billing time and predicted billing agency corresponding to the value-added tax transaction data, including:
将用户的增值税交易数据，发送至验证好的增值税发票的开票预测模型，得到对应增值税交易数据的预测开票时刻和预测开票机构。Send the user's value-added tax transaction data to the billing prediction model of the verified value-added tax invoice, and obtain the predicted billing time and predicted billing agency corresponding to the value-added tax transaction data.
在上述实施例中，可将增值税发票的开票历史数据作为训练集，对上述神经网络模型进行训练，得到训练好的增值税发票的开票预测模型，并进一步将增值税发票的开票历史数据作为验证集，对训练好的增值税发票的开票预测模型，进行验证，在验证通过后，得到验证好的增值税发票的开票预测模型，实现了对增值税发票的开票预测模型的训练和验证，可有助于在后续步骤中预测出所有客户未来的开票时间、开票模式、开票机构、开票交易类型等信息，从而可在满足预测开票时间的条件时，将区块链给上记录的预测结果同步给各个开票机构，协助各个开票机构了解当日的开票情况。In the above-mentioned embodiment, the billing history data of value-added tax invoices can be used as a training set to train the above-mentioned neural network model to obtain a well-trained billing prediction model of value-added tax invoices, and further use the billing history data of value-added tax invoices as The verification set is to verify the trained VAT invoice billing prediction model. After the verification is passed, the verified VAT invoice billing prediction model is obtained, and the training and verification of the VAT invoice billing prediction model is realized. It can help to predict the future billing time, billing mode, billing agency, billing transaction type and other information of all customers in the subsequent steps, so that when the conditions for predicting the billing time are met, the prediction results recorded on the blockchain can be given Simultaneously send to each billing agency to assist each billing agency to understand the billing situation of the day.
在一个实施例中，上述增值税发票的开票历史数据还包括：不同增值税交易历史数据的交易数据特征、和与不同增值税交易历史数据对应的历史开票交易类型和历史开票模式；In one embodiment, the billing history data of the above-mentioned value-added tax invoices further includes: transaction data characteristics of different value-added tax transaction history data, and historical billing transaction types and historical billing modes corresponding to different value-added tax transaction history data;
上述方法，如图3所示，还包括：The above method, as shown in Figure 3, also includes:
步骤301：将对应增值税交易数据的交易数据特征，发送至增值税发票的开票预测模型，得到对应增值税交易数据的预测开票交易类型和预测开票模式。Step 301: Send the transaction data characteristics corresponding to the value-added tax transaction data to the billing prediction model of the value-added tax invoice, and obtain the predicted billing transaction type and the predicted billing mode corresponding to the value-added tax transaction data.
在一个实施例中，在上述预测开票时刻之前，将携带有用户的增值税交易数据和上述预测开票时刻的通知信息，发送给上述预测开票机构，包括：In one embodiment, before the above-mentioned predicted billing time, the notification information carrying the user's value-added tax transaction data and the above-mentioned predicted billing time is sent to the above-mentioned predicted billing agency, including:
在上述预测开票时刻之前，将携带有用户的增值税交易数据和上述预测开票时刻的通知信息、以及预测开票交易类型和预测开票模式，一并发送给上述预测开票机构。Before the above-mentioned predicted billing time, the user's value-added tax transaction data and the notification information of the above-mentioned predicted billing time, as well as the predicted billing transaction type and predicted billing mode will be sent to the above-mentioned predictive billing agency.
在上述实施例中，增值税发票的开票预测模型，还可进一步用于对预测开票交易类型和预测开票模式的预测，使得开票机构可更好的合理安排当日工作，提升客户体验，提升网点机构的服务质量，提升服务效率。In the above embodiment, the billing prediction model of value-added tax invoices can be further used to predict the type of forecast billing transaction and the forecast billing mode, so that the billing agency can better arrange the work of the day reasonably, improve customer experience, and improve the outlet organization service quality and improve service efficiency.
在上述实施例中，通过建立增值税发票的开票预测模型，通过客户类型、开票模式、客户的历史开票机构、开票交易、开票时间等信息进行数据清理、数据特征衍生等处理，并按照类型、区间等特征进行打标，将这些处理后的数据通过决策算法进行训练，预测客户未来可能的开票交易类型、开票模式、开票时间、开票机构等信息，并将结果记录到区块链上，在开票日期的前一天或或者当日营业之前，同步给开票机构的业务人员，业务人员可以根据预测的信息，及时了解当日的客户开票情况，及时做好工作安排，或者提前与客户沟通，客户是否需要现场开票，更好的服务客户。In the above embodiments, by establishing a billing prediction model for value-added tax invoices, data cleaning, data feature derivation, etc. are processed through customer type, billing mode, customer's historical billing agency, billing transaction, billing time and other information, and according to type, interval and other features, and train the processed data through decision-making algorithms to predict the customer's possible future billing transaction type, billing mode, billing time, billing agency and other information, and record the results on the blockchain. The day before the invoicing date or before the opening of the day, it will be synchronously sent to the business personnel of the billing agency. The business personnel can keep abreast of the customer's invoicing situation on the day based on the predicted information, make timely work arrangements, or communicate with the customer in advance. Whether the customer needs On-site billing, better customer service.
在另一实施例中，上述方法还可以包括：通过决策算法，预测出所有客户的未来可能开票时间以及开票机构信息。In another embodiment, the above method may further include: predicting possible future billing time and billing institution information of all customers through a decision-making algorithm.
并进一步的，将预测的结果进行记录，同时在预测开票时间的前一天或者当天，提前同步给开票机构，业务人员可以及时了解哪些客户可能会到机构办理开票业务，或者可以联系客户是否需要进行开票，客户无需在往返开票机构。Furthermore, the predicted results are recorded, and at the same time, the day before or on the day of the predicted billing time, they are synchronized to the billing agency in advance, so that the business personnel can know in time which customers may go to the agency for billing business, or can contact the customer whether they need to Billing, the customer does not need to go to and from the billing agency.
具体实施时，在将对应增值税交易数据的交易数据特征，发送至增值税发票的开票预测模型，得到对应增值税交易数据的预测开票时刻和预测开票机构后，在上述预测开票时刻之前，将携带有用户的增值税交易数据和上述预测开票时刻的通知信息，发送给上述预测开票机构。During specific implementation, after sending the transaction data characteristics corresponding to the value-added tax transaction data to the billing prediction model of the value-added tax invoice, and obtaining the predicted billing time and the predicted billing agency corresponding to the value-added tax transaction data, before the above-mentioned predicted billing time, the Carrying the user's value-added tax transaction data and the notification information of the forecasted billing time, it is sent to the forecasted billing agency.
实施例中，本发明实施例可将增值税交易数据、发票数据以及开票信息等记录到区块链上，通过这个这些历史数据，可以通过神经网络算法，预测出所有客户的未来可能开票时间以及开票机构信息，并将预测的结果进行记录，同时在预测开票时间的前一天或者当天，提前同步给开票机构，业务人员可以及时了解哪些客户可能会到机构办理开票业务，或者可以联系客户是否需要进行开票，客户无需在往返开票机构，提升客户体验，提升网点机构的服务质量，提升服务效率。In the embodiment, the embodiment of the present invention can record value-added tax transaction data, invoice data, and billing information on the block chain. Through these historical data, the possible future billing time and time of all customers can be predicted through the neural network algorithm. Billing agency information, and record the predicted results, and at the same time, the day before or on the day of the predicted billing time, it will be synchronized to the billing agency in advance, so that the business personnel can know in time which customers may go to the agency to handle the billing business, or can contact the customer. For invoicing, customers do not need to go to and from the invoicing agency, which improves customer experience, improves the service quality of outlets, and improves service efficiency.
在一个实施例中，上述区块链包括：交易基础数据存储节点；上述交易基础数据存储节点，存储有利率信息、牌价信息和汇率信息；In one embodiment, the above-mentioned blockchain includes: a transaction basic data storage node; the above-mentioned transaction basic data storage node stores interest rate information, quotation information and exchange rate information;
上述方法，还包括：The above method also includes:
从区块链中的交易基础数据存储节点中，获取利率信息、牌价信息和汇率信息；Obtain interest rate information, quotation information and exchange rate information from the transaction basic data storage nodes in the blockchain;
在上述预测开票时刻之前，将携带有用户的增值税交易数据和上述预测开票时刻的通知信息，发送给上述预测开票机构，包括：Before the above-mentioned predicted billing time, the notification information carrying the user's value-added tax transaction data and the above-mentioned predicted billing time will be sent to the above-mentioned predicted billing agency, including:
在上述预测开票时刻之前，将携带有用户的增值税交易数据和上述预测开票时刻的通知信息、以及利率信息、牌价信息和汇率信息，一并发送给上述预测开票机构。Before the above-mentioned predicted billing time, the user's value-added tax transaction data and the notification information of the above-mentioned predicted billing time, as well as interest rate information, price information and exchange rate information will be sent to the above-mentioned predicted billing agency.
在上述实施例中，可接收核心的利率、牌价、汇率等基础数据。各种交易、理财等都会涉及核心的基础数据利率、牌价、汇率等信息，因此通过区块链记录核心的每日利率、牌价、汇率等基础数据。In the above-mentioned embodiments, core basic data such as interest rates, market prices, and exchange rates may be received. Various transactions, financial management, etc. will involve core basic data interest rates, quotations, exchange rates and other information, so the core daily interest rates, quotations, exchange rates and other basic data are recorded through the blockchain.
在一个实施例中，上述区块链中交易基础数据存储节点，用于对存储的利率信息、牌价信息和汇率信息，进行每日更新。In one embodiment, the transaction basic data storage node in the above blockchain is used to update the stored interest rate information, quotation information and exchange rate information on a daily basis.
下面给出一个具体实施例，来说明本发明的方法的具体应用，该实施例中，如图4所示，可以包括如下内容：A specific embodiment is provided below to illustrate the specific application of the method of the present invention. In this embodiment, as shown in Figure 4, the following contents can be included:
1、接收增值税交易数据。对于银行发票系统来讲，会接收全行涉及所有涉及需要开票的所有的交易上游的可开票交易数据。发票系统需要接收以上这些系统的所有交易并且含价税分离的数据，数据项需要包含客户信息、账户信息、交易入账机构信息等等信息。1. Receive VAT transaction data. For the bank invoice system, it will receive the invoiceable transaction data of the whole bank related to all transactions that need to be invoiced. The invoice system needs to receive all the transactions of the above systems and the data including price and tax separation. The data items need to include customer information, account information, transaction account information, etc. information.
2、接收核心的利率、牌价、汇率等基础数据。各种交易、理财等都会涉及核心的基础数据利率、牌价、汇率等信息，因此通过区块链记录核心的每日利率、牌价、汇率等基础数据。2. Receive basic data such as core interest rates, quotations, and exchange rates. Various transactions, financial management, etc. will involve core basic data interest rates, quotations, exchange rates and other information, so the core daily interest rates, quotations, exchange rates and other basic data are recorded through the blockchain.
3、处理开票数据。在为客户进行开票业务办理时，需要通过区块链记录下客户的开票交易、发票信息、开票模式、开票机构和开票时间等信息，作为后续建立预测模型的模型训练数据。3. Processing billing data. When handling the billing business for customers, it is necessary to record the customer's billing transactions, invoice information, billing mode, billing agency, and billing time through the blockchain, as model training data for subsequent establishment of predictive models.
4、建立开票预测模型。通过以上步骤记录的数据，建立客户开票预测模型，通过客户类型、开票模式、客户的历史开票机构、开票交易、开票时间等信息进行数据清理、数据特征衍生等处理，并按照类型、区间等特征进行打标，将这些处理后的数据通过决策算法进行训练，预测客户未来可能的开票交易类型、开票模式、开票时间、开票机构等信息，并将结果记录到区块链上，在开票日期的前一天或或者当日营业之前，同步给开票机构的业务人员，业务人员可以根据预测的信息，及时了解当日的客户开票情况，及时做好工作安排，或者提前与客户沟通，客户是否需要现场开票，更好的服务客户。4. Establish billing forecasting model. Through the data recorded in the above steps, a customer billing prediction model is established, and data cleaning and data feature derivation are processed through customer type, billing mode, customer's historical billing agency, billing transaction, billing time and other information, and according to types, intervals and other characteristics Carry out marking, train these processed data through decision-making algorithms, predict the customer's possible future billing transaction type, billing mode, billing time, billing agency and other information, and record the results on the blockchain. The day before or before the opening of the day, it will be synchronously sent to the business staff of the billing agency. The business staff can keep abreast of the customer's billing situation on the day based on the predicted information, make timely work arrangements, or communicate with the customer in advance to determine whether the customer needs on-site billing. Serve customers better.
本具体实施例可通过区块链记录客户的开票信息等数据，并将这些历史数据处理后作为客户开票预测模型的训练数据，预测出所有客户未来的开票时间、开票模式、开票机构、开票交易类型等等信息，同步并将结果记录到区块链上，在满足预测开票时间的条件时，将区块链给上记录的预测结果同步给各个开票机构，协助各个开票机构了解当日的开票情况，或者可以联系客户是否需要进行开票，客户无需在往返开票机构，更好的合理安排当日工作，提升客户体验，提升网点机构的服务质量，提升服务效率。This specific embodiment can record data such as customer billing information through the blockchain, and use these historical data as training data for the customer billing prediction model after processing, to predict the future billing time, billing mode, billing agency, and billing transactions of all customers Type and other information, synchronize and record the results to the blockchain. When the conditions for predicting the billing time are met, the prediction results recorded on the blockchain are synchronized to each billing agency to assist each billing agency to understand the billing situation of the day , or you can contact the customer whether they need to issue bills. Customers do not need to go to and from the billing agency, so they can better arrange the day's work reasonably, improve customer experience, improve the service quality of outlets, and improve service efficiency.
当然，可以理解的是，上述详细流程还可以有其他变化例，相关变化例均应落入本发明的保护范围。Of course, it can be understood that there may be other variations in the above detailed process, and all relevant variations should fall within the protection scope of the present invention.
本发明实施例中，从区块链中，获取客户的增值税交易数据；对客户的增值税交易数据，进行数据清理处理和数据特征衍生处理，得到对应增值税交易数据的交易数据特征；将对应增值税交易数据的交易数据特征，发送至增值税发票的开票预测模型，得到对应增值税交易数据的预测开票时刻和预测开票机构；所述增值税发票的开票预测模型通过增值税发票的开票历史数据，对神经网络模型进行训练得到；所述增值税发票的开票历史数据包括：不同增值税交易历史数据的交易数据特征、和与不同增值税交易历史数据对应的历史开票时刻和历史开票机构；在所述预测开票时刻之前，将携带有用户的增值税交易数据和所述预测开票时刻的通知信息，发送给所述预测开票机构，从而可预测出客户的未来可能进行开票的预测开票时刻和预测开票机构，并在预测开票时刻之前，向预测开票机构发送通知信息和该客户的，使得业务人员可以及时了解哪些客户可能会到机构办理开票业务，解决了现有技术下因机构未预先准备出客户的可开票交易数据，导致客户需等待较长时间的问题，提升了客户的增值税发票的开票效率，改善了客户体验，有利于提升网点机构的服务质量，提升服务效率。In the embodiment of the present invention, the value-added tax transaction data of the customer is obtained from the block chain; data cleaning processing and data feature derivation processing are performed on the value-added tax transaction data of the customer to obtain the transaction data features corresponding to the value-added tax transaction data; The transaction data characteristics corresponding to the value-added tax transaction data are sent to the billing prediction model of the value-added tax invoice, and the predicted billing time and the predicted billing agency corresponding to the value-added tax transaction data are obtained; the billing prediction model of the value-added tax invoice is passed through the billing of the value-added tax invoice Historical data, obtained by training the neural network model; the billing historical data of the value-added tax invoices includes: the transaction data characteristics of different value-added tax transaction historical data, and the historical billing time and historical billing institutions corresponding to different value-added tax transaction historical data ; Before the predicted billing time, the notification information carrying the user's value-added tax transaction data and the predicted billing time will be sent to the predicted billing agency, so that the predicted billing time of the customer's future possible billing can be predicted and the forecasted billing agency, and before the forecasted billing time, send the notification information and the customer's information to the forecasted billing agency, so that the business personnel can know in time which customers may go to the agency to handle the billing business, and solve the problem of the existing technology. Preparing the customer's invoiceable transaction data leads to the problem that customers have to wait for a long time, which improves the invoicing efficiency of the customer's value-added tax invoice, improves the customer experience, and is conducive to improving the service quality and service efficiency of outlets.
本发明实施例中还提供了一种基于区块链的增值税发票的开票预测装置，如下面的实施例所表述的。由于该装置解决问题的原理与基于区块链的增值税发票的开票预测方法相似，因此该装置的实施可以参见基于区块链的增值税发票的开票预测方法的实施，重复之处不再赘述。An embodiment of the present invention also provides a blockchain-based VAT invoice billing prediction device, as described in the following embodiments. Since the problem-solving principle of this device is similar to that of the blockchain-based value-added tax invoice billing prediction method, the implementation of this device can refer to the implementation of the blockchain-based value-added tax invoice billing prediction method, and the repetition will not be repeated. .
本发明实施例还提供一种基于区块链的增值税发票的开票预测装置，用以提升客户的增值税发票的开票效率，改善客户体验，提升网点机构的服务质量，提升服务效率，如图5所示，该装置包括：The embodiment of the present invention also provides a block chain-based value-added tax invoice billing prediction device, which is used to improve the billing efficiency of customers' value-added tax invoices, improve customer experience, improve the service quality of network institutions, and improve service efficiency, as shown in the figure 5, the device includes:
增值税交易数据获取模块501，用于从区块链中，获取客户的增值税交易数据；The value-added tax transaction
数据清理处理和数据特征衍生处理模块502，用于对客户的增值税交易数据，进行数据清理处理和数据特征衍生处理，得到对应增值税交易数据的交易数据特征；The data cleaning processing and data feature
预测开票时刻和预测开票机构预测模块503，用于将对应增值税交易数据的交易数据特征，发送至增值税发票的开票预测模型，得到对应增值税交易数据的预测开票时刻和预测开票机构；所述增值税发票的开票预测模型通过增值税发票的开票历史数据，对神经网络模型进行训练得到；所述增值税发票的开票历史数据包括：不同增值税交易历史数据的交易数据特征、和与不同增值税交易历史数据对应的历史开票时刻和历史开票机构；The forecasted billing time and forecasted billing
通知信息发送模块504，用于在所述预测开票时刻之前，将携带有用户的增值税交易数据和所述预测开票时刻的通知信息，发送给所述预测开票机构。The notification
在一个实施例中，所述增值税交易数据为：携带有客户信息、账户信息和交易入账机构信息的用户进行交易的可开票交易数据。In one embodiment, the value-added tax transaction data is: invoiceable transaction data carried by a user carrying customer information, account information, and transaction entry institution information.
在一个实施例中，所述区块链包括客户节点和银行节点；所述客户节点存储客户的客户信息和账户信息；所述银行节点存储有客户在对应该银行节点的银行中进行交易的可开票交易数据。In one embodiment, the block chain includes a customer node and a bank node; the customer node stores the customer's customer information and account information; Billing transaction data.
在一个实施例中，增值税交易数据获取模块，具体用于：In one embodiment, the value-added tax transaction data acquisition module is specifically used for:
向区块链中的不同银行节点，发送用于请求该银行节点中客户的可开票交易数据的数据请求指令；Send data request instructions for requesting billable transaction data of customers in the bank node to different bank nodes in the blockchain;
接收不同银行节点针对所述数据请求指令反馈的客户的可开票交易数据；receiving invoicable transaction data of customers fed back by different bank nodes in response to the data request instruction;
对不同银行节点反馈的客户的可开票交易数据，进行汇总，得到客户的增值税交易数据。Summarize the customer's billable transaction data fed back by different bank nodes to obtain the customer's value-added tax transaction data.
在一个实施例中，如图6所示，还包括：In one embodiment, as shown in Figure 6, also includes:
数据上传模块601，用于：Data upload
将用户的增值税交易数据、预测开票时刻和预测开票机构，上传至区块链的客户节点。Upload the user's value-added tax transaction data, predicted billing time and predicted billing agency to the customer node of the blockchain.
在一个实施例中，所述区块链包括：交易基础数据存储节点；所述交易基础数据存储节点，存储有利率信息、牌价信息和汇率信息；In one embodiment, the block chain includes: a transaction basic data storage node; the transaction basic data storage node stores interest rate information, quotation information and exchange rate information;
所述装置，如图7所示，还包括：The device, as shown in Figure 7, also includes:
利率信息、牌价信息和汇率信息获取模块701，用于：Interest rate information, quotation information and exchange rate
从区块链中的交易基础数据存储节点中，获取利率信息、牌价信息和汇率信息；Obtain interest rate information, quotation information and exchange rate information from the transaction basic data storage nodes in the blockchain;
通知信息发送模块，具体用于：The notification information sending module is specifically used for:
在所述预测开票时刻之前，将携带有用户的增值税交易数据和所述预测开票时刻的通知信息、以及利率信息、牌价信息和汇率信息，一并发送给所述预测开票机构。Before the predicted billing time, the notification information carrying the user's value-added tax transaction data and the predicted billing time, as well as interest rate information, price information and exchange rate information are sent to the predicted billing agency.
在一个实施例中，所述区块链中交易基础数据存储节点，用于对存储的利率信息、牌价信息和汇率信息，进行每日更新。In one embodiment, the transaction basic data storage node in the block chain is used to update the stored interest rate information, quotation information and exchange rate information on a daily basis.
在一个实施例中，如图8所示，还包括：In one embodiment, as shown in Figure 8, also includes:
模型训练验证模块801，用于：Model
按如下方式训练和验证所述增值税发票的开票预测模型：Train and validate the billing prediction model for the VAT invoices described as follows:
将增值税发票的开票历史数据作为训练集，对所述神经网络模型进行训练，得到训练好的增值税发票的开票预测模型；Using the billing historical data of value-added tax invoices as a training set, the neural network model is trained to obtain a well-trained billing prediction model of value-added tax invoices;
将增值税发票的开票历史数据作为验证集，对训练好的增值税发票的开票预测模型，进行验证，在验证通过后，得到验证好的增值税发票的开票预测模型；Use the billing history data of value-added tax invoices as the verification set, and verify the billing prediction model of the trained value-added tax invoices, and obtain the verified billing prediction model of value-added tax invoices after the verification is passed;
预测开票时刻和预测开票机构预测模块，具体用于：Forecast billing time and predict billing agency prediction module, specifically used for:
将用户的增值税交易数据，发送至验证好的增值税发票的开票预测模型，得到对应增值税交易数据的预测开票时刻和预测开票机构。Send the user's value-added tax transaction data to the billing prediction model of the verified value-added tax invoice, and obtain the predicted billing time and predicted billing agency corresponding to the value-added tax transaction data.
在一个实施例中，所述增值税发票的开票历史数据还包括：不同增值税交易历史数据的交易数据特征、和与不同增值税交易历史数据对应的历史开票交易类型和历史开票模式；In one embodiment, the billing history data of the value-added tax invoices further includes: transaction data characteristics of different value-added tax transaction history data, and historical billing transaction types and historical billing modes corresponding to different value-added tax transaction history data;
所述装置，如图9所示，还包括：The device, as shown in Figure 9, also includes:
预测开票交易类型和预测开票模式模块901，用于：Forecast billing transaction type and forecast
将对应增值税交易数据的交易数据特征，发送至增值税发票的开票预测模型，得到对应增值税交易数据的预测开票交易类型和预测开票模式。The transaction data characteristics corresponding to the value-added tax transaction data are sent to the billing prediction model of the value-added tax invoice, and the predicted billing transaction type and the predicted billing mode corresponding to the value-added tax transaction data are obtained.
在一个实施例中，通知信息发送模块，具体用于：In one embodiment, the notification information sending module is specifically used for:
在所述预测开票时刻之前，将携带有用户的增值税交易数据和所述预测开票时刻的通知信息、以及预测开票交易类型和预测开票模式，一并发送给所述预测开票机构。Before the predicted billing time, the notification information carrying the user's value-added tax transaction data and the predicted billing time, as well as the predicted billing transaction type and predicted billing mode are sent to the predicted billing institution.
本发明实施例提供一种用于实现上述基于区块链的增值税发票的开票预测方法中的全部或部分内容的计算机设备的实施例所述计算机设备具体包含有如下内容：The embodiment of the present invention provides a computer device for implementing all or part of the content of the above-mentioned blockchain-based value-added tax invoice billing prediction method. The embodiment of the computer device specifically includes the following content:
处理器(processor)、存储器(memory)、通信接口(Communications Interface)和总线；其中，所述处理器、存储器、通信接口通过所述总线完成相互间的通信；所述通信接口用于实现相关设备之间的信息传输；该计算机设备可以是台式计算机、平板电脑及移动终端等，本实施例不限于此。在本实施例中，该计算机设备可以参照实施例用于实现基于区块链的增值税发票的开票预测方法的实施例及用于实现基于区块链的增值税发票的开票预测装置的实施例进行实施，其内容被合并于此，重复之处不再赘述。Processor (processor), memory (memory), communication interface (Communications Interface) and bus; Wherein, described processor, memory, communication interface complete mutual communication through described bus; Said communication interface is used to realize relevant equipment Information transmission between; the computer device may be a desktop computer, a tablet computer, a mobile terminal, etc., and this embodiment is not limited thereto. In this embodiment, the computer equipment can refer to the embodiment for realizing the embodiment of the billing prediction method of the value-added tax invoice based on the block chain and the embodiment of the billing prediction device for realizing the value-added tax invoice based on the block chain Implemented, its content is merged here, and the repeated parts will not be repeated.
图10为本申请实施例的计算机设备1000的系统构成的示意框图。如图10所示，该计算机设备1000可以包括中央处理器1001和存储器1002；存储器1002耦合到中央处理器1001。值得注意的是，该图10是示例性的；还可以使用其他类型的结构，来补充或代替该结构，以实现电信功能或其他功能。FIG. 10 is a schematic block diagram of a system configuration of a
一实施例中，基于区块链的增值税发票的开票预测功能可以被集成到中央处理器1001中。其中，中央处理器1001可以被配置为进行如下控制：In one embodiment, the billing prediction function of the value-added tax invoice based on the blockchain can be integrated into the
从区块链中，获取客户的增值税交易数据；Obtain the customer's VAT transaction data from the blockchain;
对客户的增值税交易数据，进行数据清理处理和数据特征衍生处理，得到对应增值税交易数据的交易数据特征；Perform data cleaning processing and data feature derivation processing on the customer's value-added tax transaction data to obtain the transaction data characteristics corresponding to the value-added tax transaction data;
将对应增值税交易数据的交易数据特征，发送至增值税发票的开票预测模型，得到对应增值税交易数据的预测开票时刻和预测开票机构；所述增值税发票的开票预测模型通过增值税发票的开票历史数据，对神经网络模型进行训练得到；所述增值税发票的开票历史数据包括：不同增值税交易历史数据的交易数据特征、和与不同增值税交易历史数据对应的历史开票时刻和历史开票机构；Send the transaction data characteristics corresponding to the value-added tax transaction data to the billing prediction model of the value-added tax invoice, and obtain the predicted billing time and the predicted billing agency corresponding to the value-added tax transaction data; the billing prediction model of the value-added tax invoice is passed The billing history data is obtained by training the neural network model; the billing history data of the value-added tax invoices includes: the transaction data characteristics of different value-added tax transaction history data, and the historical billing time and historical billing time corresponding to different value-added tax transaction history data mechanism;
在所述预测开票时刻之前，将携带有用户的增值税交易数据和所述预测开票时刻的通知信息，发送给所述预测开票机构。Before the predicted billing time, the notification information carrying the value-added tax transaction data of the user and the predicted billing time is sent to the predicted billing institution.
在另一个实施方式中，基于区块链的增值税发票的开票预测装置可以与中央处理器1001分开配置，例如可以将基于区块链的增值税发票的开票预测装置配置为与中央处理器1001连接的芯片，通过中央处理器的控制来实现基于区块链的增值税发票的开票预测功能。In another embodiment, the billing prediction device for value-added tax invoices based on the block chain can be configured separately from the
如图10所示，该计算机设备1000还可以包括：通信模块1003、输入单元1004、音频处理器1005、显示器1006、电源1007。值得注意的是，计算机设备1000也并不是必须要包括图10中所示的所有部件；此外，计算机设备1000还可以包括图10中没有示出的部件，可以参考现有技术。As shown in FIG. 10 , the
如图10所示，中央处理器1001有时也称为控制器或操作控件，可以包括微处理器或其他处理器装置和/或逻辑装置，该中央处理器1001接收输入并控制计算机设备1000的各个部件的操作。As shown in FIG. 10 , the
其中，存储器1002，例如可以是缓存器、闪存、硬驱、可移动介质、易失性存储器、非易失性存储器或其它合适装置中的一种或更多种。可储存上述与失败有关的信息，此外还可存储执行有关信息的程序。并且中央处理器1001可执行该存储器1002存储的该程序，以实现信息存储或处理等。Wherein, the
输入单元1004向中央处理器1001提供输入。该输入单元1004例如为按键或触摸输入装置。电源1007用于向计算机设备1000提供电力。显示器1006用于进行图像和文字等显示对象的显示。该显示器例如可为LCD显示器，但并不限于此。The
该存储器1002可以是固态存储器，例如，只读存储器(ROM)、随机存取存储器(RAM)、SIM卡等。还可以是这样的存储器，其即使在断电时也保存信息，可被选择性地擦除且设有更多数据，该存储器的示例有时被称为EPROM等。存储器1002还可以是某种其它类型的装置。存储器1002包括缓冲存储器1021(有时被称为缓冲器)。存储器1002可以包括应用/功能存储部1022，该应用/功能存储部1022用于存储应用程序和功能程序或用于通过中央处理器1001执行计算机设备1000的操作的流程。The
存储器1002还可以包括数据存储部1023，该数据存储部1023用于存储数据，例如联系人、数字数据、图片、声音和/或任何其他由计算机设备使用的数据。存储器1002的驱动程序存储部1024可以包括计算机设备的用于通信功能和/或用于执行计算机设备的其他功能(如消息传送应用、通讯录应用等)的各种驱动程序。The
通信模块1003即为经由天线1008发送和接收信号的发送机/接收机1003。通信模块(发送机/接收机)1003耦合到中央处理器1001，以提供输入信号和接收输出信号，这可以和常规移动通信终端的情况相同。The
基于不同的通信技术，在同一计算机设备中，可以设置有多个通信模块1003，如蜂窝网络模块、蓝牙模块和/或无线局域网模块等。通信模块(发送机/接收机)1003还经由音频处理器1005耦合到扬声器1009和麦克风1010，以经由扬声器1009提供音频输出，并接收来自麦克风1010的音频输入，从而实现通常的电信功能。音频处理器1005可以包括任何合适的缓冲器、解码器、放大器等。另外，音频处理器1005还耦合到中央处理器1001，从而使得可以通过麦克风1010能够在本机上录音，且使得可以通过扬声器1009来播放本机上存储的声音。Based on different communication technologies,
本发明实施例还提供一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，所述计算机程序被处理器执行时实现上述基于区块链的增值税发票的开票预测方法。The embodiment of the present invention also provides a computer-readable storage medium, the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned blockchain-based value-added tax invoice billing prediction method is realized.
本发明实施例还提供一种计算机程序产品，所述计算机程序产品包括计算机程序，所述计算机程序被处理器执行时实现上述基于区块链的增值税发票的开票预测方法。The embodiment of the present invention also provides a computer program product, the computer program product includes a computer program, and when the computer program is executed by a processor, the above-mentioned blockchain-based value-added tax invoice billing prediction method is realized.
本发明实施例中，从区块链中，获取客户的增值税交易数据；对客户的增值税交易数据，进行数据清理处理和数据特征衍生处理，得到对应增值税交易数据的交易数据特征；将对应增值税交易数据的交易数据特征，发送至增值税发票的开票预测模型，得到对应增值税交易数据的预测开票时刻和预测开票机构；所述增值税发票的开票预测模型通过增值税发票的开票历史数据，对神经网络模型进行训练得到；所述增值税发票的开票历史数据包括：不同增值税交易历史数据的交易数据特征、和与不同增值税交易历史数据对应的历史开票时刻和历史开票机构；在所述预测开票时刻之前，将携带有用户的增值税交易数据和所述预测开票时刻的通知信息，发送给所述预测开票机构，从而可预测出客户的未来可能进行开票的预测开票时刻和预测开票机构，并在预测开票时刻之前，向预测开票机构发送通知信息和该客户的，使得业务人员可以及时了解哪些客户可能会到机构办理开票业务，解决了现有技术下因机构未预先准备出客户的可开票交易数据，导致客户需等待较长时间的问题，提升了客户的增值税发票的开票效率，改善了客户体验，有利于提升网点机构的服务质量，提升服务效率。In the embodiment of the present invention, the value-added tax transaction data of the customer is obtained from the block chain; data cleaning processing and data feature derivation processing are performed on the value-added tax transaction data of the customer to obtain the transaction data features corresponding to the value-added tax transaction data; The transaction data characteristics corresponding to the value-added tax transaction data are sent to the billing prediction model of the value-added tax invoice, and the predicted billing time and the predicted billing agency corresponding to the value-added tax transaction data are obtained; the billing prediction model of the value-added tax invoice is passed through the billing of the value-added tax invoice Historical data, obtained by training the neural network model; the billing historical data of the value-added tax invoices includes: the transaction data characteristics of different value-added tax transaction historical data, and the historical billing time and historical billing institutions corresponding to different value-added tax transaction historical data ; Before the predicted billing time, the notification information carrying the user's value-added tax transaction data and the predicted billing time will be sent to the predicted billing agency, so that the predicted billing time of the customer's future possible billing can be predicted and the forecasted billing agency, and before the forecasted billing time, send the notification information and the customer's information to the forecasted billing agency, so that the business personnel can know in time which customers may go to the agency to handle the billing business, and solve the problem of the existing technology. Preparing the customer's invoiceable transaction data leads to the problem that customers have to wait for a long time, which improves the invoicing efficiency of the customer's value-added tax invoice, improves the customer experience, and is conducive to improving the service quality and service efficiency of outlets.
本领域内的技术人员应明白，本发明的实施例可提供为方法、系统、或计算机程序产品。因此，本发明可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本发明可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。Those skilled in the art should understand that the embodiments of the present invention may be provided as methods, systems, or computer program products. Accordingly, the present invention can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
本发明是参照根据本发明实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor of other programmable data processing equipment to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing equipment produce a An apparatus for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the instructions The device realizes the function specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。These computer program instructions can also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby The instructions provide steps for implementing the functions specified in the flow chart or blocks of the flowchart and/or the block or blocks of the block diagrams.
以上所述的具体实施例，对本发明的目的、技术方案和有益效果进行了进一步详细说明，所应理解的是，以上所述仅为本发明的具体实施例而已，并不用于限定本发明的保护范围，凡在本发明的精神和原则之内，所做的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。The specific embodiments described above have further described the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above descriptions are only specific embodiments of the present invention and are not intended to limit the scope of the present invention. Protection scope, within the spirit and principles of the present invention, any modification, equivalent replacement, improvement, etc., shall be included in the protection scope of the present invention.
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