TWM616385U

TWM616385U - Electronic invoice intelligent automatic accounting platform

Info

Publication number: TWM616385U
Application number: TW110203725U
Authority: TW
Inventors: 李淑敏
Original assignee: 鯨動智能科技股份有限公司
Priority date: 2021-02-09
Filing date: 2021-04-07
Publication date: 2021-09-01

Abstract

一種電子發票智能自動會計帳務平台，包括一智能會計帳務處理系統、一帳務資料庫及一電子發票開立系統。智能會計帳務處理系統自一交易對象裝置接收一電子發票資料。智能會計帳務處理系統對該電子發票資料進行語意分析，以詞庫的方式分析電子發票的內容，找出電子發票內容所對應的會計項目，形成帳務指令，完成入帳。An intelligent automatic accounting and accounting platform for electronic invoices includes an intelligent accounting and accounting processing system, an accounting database and an electronic invoice issuance system. The intelligent accounting processing system receives an electronic invoice data from a transaction object device. The intelligent accounting and accounting processing system performs semantic analysis on the electronic invoice data, analyzes the content of the electronic invoice in a thesaurus, finds out the accounting items corresponding to the electronic invoice content, forms accounting instructions, and completes the accounting.

Description

Electronic invoice intelligent automatic accounting accounting platform

一種會計帳務平台，特別是一種電子發票智能自動會計帳務平台。An accounting platform, especially an intelligent automatic accounting platform for electronic invoices.

電子發票是近年來逐步應用於會計業務上的技術，主要用以取代傳統的紙本發票，可提高帳務處理的效率，也可節省紙張的使用。因此也是政府單位積極推廣的技術。目前電子發票已廣泛應用於市場上，許多廠商已透過電子發票來確認買賣雙方的帳務。然而，即便開立發票幾乎全面電子化與無紙化，但是開立發票後的帳務認列（將支出或收入納入財務表中），仍需要人工作業。也就是由會計人員抄錄電子發票上的資料，進行分類、記錄與記帳，仍需要花費相當多的時間，並且人工處理上也容易發生錯誤或疏漏。因此，如何解決上述問題，便是本領域具通常知識者值得去思量的。 Electronic invoice is a technology that has been gradually applied to accounting business in recent years. It is mainly used to replace traditional paper invoices, which can improve the efficiency of accounting processing and save paper. Therefore, it is also a technology actively promoted by government units. At present, electronic invoices have been widely used in the market, and many manufacturers have used electronic invoices to confirm the accounts of buyers and sellers. However, even if the issuance of invoices is almost fully electronic and paperless, the account recognition (including expenditure or income in the financial statements) after the issuance of invoices still requires manual operations. That is to say, it takes a considerable amount of time for accountants to copy the information on the electronic invoices for classification, recording and accounting, and errors or omissions are prone to occur in manual processing. Therefore, how to solve the above problems is worth considering for those with ordinary knowledge in this field.

本創作之目的在於提供一種電子發票智能自動會計帳務平台，可自動識別電子發票的內容並入帳，不需人工登記。本創作之電子發票智能自動會計帳務平台，通訊連接於一交易對象裝置，該交易對象裝置適於提供一電子發票資料與一部門名稱資料，該電子發票資料包括一品名、一統一編號資料、一發票編號資料與一交易對象資料，該電子發票智能自動會計帳務平台包括一電子發票開立系統及一智能會計帳務處理系統。電子發票開立系統適於提供該電子發票資料。智能會計帳務處理系統接收該電子發票資料，該智能會計帳務處理系統包括一詞庫、一字元語意分析管理模組、一帳務處理模組。詞庫儲存有該品名與該交易對象資料對應的會計項目。字元語意分析管理模組連接於該詞庫，該字元語意分析管理模組接適於接收該電子發票資料，並讀取該品名稱與該交易對象資料，該字元語意分析管理模組還適於從該詞庫中搜尋對應至該品名與該交易對象資料的該會計項目，並產生一帳務資料。帳務處理模組連接於該字元語意分析管理模組，接收該帳務資料，並產生一帳務指令。帳務資料庫與該智能會計帳務處理系統連接，儲存有多筆財務資料，適於接收該帳務指令，根據該帳務指令修改對應的該財務資料。上述之電子發票智能自動會計帳務平台，其中，該智能會計帳務處理系統還包括一校正機器學習模組，與該字元語意分析管理模組連接，適於接收該帳務資料，若該校正機器學習模組判斷該品名與該會計項目的對應關係錯誤，則修正該帳務資料中該品名與該會計項目的對應關係，並將該品名、該部門名稱及該會計項目的對應關係加入該詞庫。上述之電子發票智能自動會計帳務平台，其中，該使用者裝置還適於輸入一修正指令，該校正機器學習模組根據該修正指令修正該帳務資料中該品名、與該會計項目的對應關係，並將該品名、該部門名稱及該會計項目的對應關係加入該詞庫。上述之電子發票智能自動會計帳務平台，其中，當該智能會計帳務處理系統接收非預設格式的該電子發票資料，並且該電子發票資料的類型為存證發票，將該電子發票資料經由該電子發票開立系統傳送至該使用者裝置。上述之電子發票智能自動會計帳務平台，其中，當該智能會計帳務處理系統接收非預設格式的該電子發票資料，並且該電子發票資料的類型為交換發票，該電子發票開立系統產收一詢問請求至該使用者裝置，該電子發票開立系統接收一同意指令後，將非預設格式的該電子發票資料轉換為預設格式的該電子發票資料，並傳送至該字元語意分析管理模組。 The purpose of this creation is to provide an intelligent automatic accounting platform for electronic invoices, which can automatically identify the content of electronic invoices and record them without manual registration. The electronic invoice intelligent automatic accounting accounting platform created by this invention is communicatively connected to a transaction object device, which is suitable for providing an electronic invoice data and a department name data. The electronic invoice data includes a product name, a unified number data, An invoice number data and a transaction object data. The electronic invoice intelligent automatic accounting and accounting platform includes an electronic invoice issuance system and an intelligent accounting accounting processing system. The electronic invoice issuance system is suitable for providing the electronic invoice data. The intelligent accounting processing system receives the electronic invoice data. The intelligent accounting processing system includes a vocabulary database, a character semantic analysis management module, and an accounting processing module. The thesaurus stores the accounting items corresponding to the product name and the transaction object data. The character semantic analysis management module is connected to the vocabulary, the character semantic analysis management module is adapted to receive the electronic invoice data, and read the product name and the transaction object data, the character semantic analysis management module It is also suitable for searching the accounting item corresponding to the product name and the transaction object data from the word database, and generating an accounting data. The accounting processing module is connected to the character semantic analysis management module, receives the accounting data, and generates an accounting instruction. The accounting database is connected to the intelligent accounting processing system, and stores multiple financial data, which is suitable for receiving the accounting instruction and modifying the corresponding financial data according to the accounting instruction. The above-mentioned electronic invoice intelligent automatic accounting accounting platform, wherein, the intelligent accounting accounting processing system further includes a calibration machine learning module connected with the character semantic analysis management module, and is suitable for receiving the accounting data. Correcting the machine learning module to determine that the corresponding relationship between the product name and the accounting item is incorrect, then correct the corresponding relationship between the product name and the accounting item in the accounting data, and add the corresponding relationship between the product name, the department name and the accounting item The thesaurus. The above-mentioned electronic invoice intelligent automatic accounting accounting platform, wherein the user device is further adapted to input a correction instruction, and the correction machine learning module corrects the item name and the correspondence with the accounting item in the accounting data according to the correction instruction The corresponding relationship between the product name, the department name and the accounting item is added to the dictionary. The above-mentioned electronic invoice intelligent automatic accounting accounting platform, wherein, when the intelligent accounting processing system receives the electronic invoice data in a non-preset format, and the type of the electronic invoice data is a certificated invoice, the electronic invoice data is passed through The electronic invoice issuance system is transmitted to the user device. The above-mentioned electronic invoice intelligent automatic accounting accounting platform, wherein, when the intelligent accounting processing system receives the electronic invoice data in a non-preset format, and the type of the electronic invoice data is an exchange invoice, the electronic invoice issuance system product Receive an inquiry request to the user device. After the electronic invoice issuance system receives a consent command, it converts the electronic invoice data in the non-preset format into the electronic invoice data in the default format, and sends it to the character semantics Analysis management module.

本創作提供一種電子發票智能自動會計帳務平台，以語意分析的方式識別電子發票內容，並連動帳務系統，在收到發票時同時入帳。請參閱圖1，圖1所繪示為本創作之電子發票智能自動會計帳務平台架構圖。本創作之電子發票智能自動會計帳務平台100通訊連接至至少一交易對象裝置10，該交易對象裝置10適於提供一電子發票資料與一部門名稱資料。交易對象裝置10即為交易對象所使用的裝置，例如為個人電腦、智慧型手機或是本創作電子發票智能自動會計帳務平台100的另一個使用者所使用的裝置。當交易對象裝置10為賣方時（開立發票者），可向電子發票智能自動會計帳務平台100傳送一電子發票資料。並且電子發票資料中包括了品名、金額、統一編號資料、發票編號資料、交易對象等資料。其中，品名為電子發票資料中所記載的商品名稱，交易對象資料則為買賣雙方的名稱。此外，電子發票智能自動會計帳務平台100還通訊連接至外部的多個使用者裝置20、20’，作為使用者操作的介面，特別是當電子發票智能自動會計帳務平台100的使用者為開立發票者時。本創作之電子發票智能自動會計帳務平台100包括一智能會計帳務處理系統110與一電子發票開立系統130。電子發票開立系統130適於提供至少一電子發票資料。具體來說，電子發票開立系統130為使用者開立電子發票時所使用的系統，當本創作之電子發票智能自動會計帳務平台100的使用者為賣方時，便可透過電子發票開立系統130輸入相關資料（品名、交易對象資料、金額或發票類型等）並輸入指定部門的名稱，讓電子發票開立系統130產生對應的電子發票資料及部門名稱資料。進一步的電子發票開立系統130還連接至外部的使用者裝置20，使用者裝置20包括一顯示螢幕與一輸入裝置，供使用者瀏覽或輸入資料。智能會計帳務處理系統110為電子發票智能自動會計帳務平台100主要的運算元件，智能會計帳務處理系統110適於接收來自交易對象裝置10或電子發票開立系統130的電子發票資料與部門名稱資料。智能會計帳務處理系統110包括一詞庫113、一字元語意分析管理模組111、一帳務處理模組112、一校正機器學習模組115與一帳務資料庫114。分別表示智能會計帳務處理系統110的各式運算功能。詞庫113儲存了品名、交易對象所對應的多筆會計項目。也就是說，詞庫113記載各種品名、交易對象與會計項目的對應關係，即為各式商品與會計項目的對應關係，例如「紙張」對應「文具費用」。在一實施例中，詞庫113還包括部門詞庫、品名詞庫、與交易對象詞庫，其中交易對象詞庫還記載著交易對象（亦即：客戶與供應商）的名稱，而詞庫中的部門詞庫則記載著公司的部門名稱。字元語意分析管理模組111連接於詞庫113，字元語意分析管理模組111適於接收電子發票資料。字元語意分析管理模組111還適於從詞庫中搜尋與品名對應的會計項目，並產生一帳務資料。其中，帳務資料例如為各項目的收入或支出資料。也就是說，字元語意分析管理模組111接收到電子發票資料之後，會比對電子發票資料與詞庫113中的資料，進一步從詞庫113中找出品名、交易對象與對應的會計項目，並且根據分析結果產生實際收入或支出的資料。例如「記帳與財務報表製作」就對應到會計項目「勞務費」（編號：2071），並且產生勞務費支出數元的帳務資料。在一實施例中，除了品名詞庫，字元語意分析管理模組111還適於參照交易對象詞庫，即是交易對象名稱也會列入語意分析的範圍中，並進一步利用交易對象詞庫中的對應資料進行分類。帳務處理模組112連接於字元語意分析管理模組111，接收帳務資料，並產生一帳務指令。也就是說，帳務處理模組112可根據帳務資料的內容，即會計項目、支出或收入，而產生一個帳務指令，此帳務指令則為實際入帳的依據。帳務資料庫114，儲存有多筆財務資料，適於接收帳務指令，根據帳務指令修改對應的財務資料。具體來說，帳務資料庫114所儲存的財務資料便是使用者（公司行號等）的財務資料，而當帳務資料庫114接收到帳務指令時，便會根據帳務指令的內容（交易對象、會計項目、支出、收入、金額）寫入對應的財務資料，正式完成入帳，較佳為包括買賣雙方的帳務資料同步寫入。校正機器學習模組115與字元語意分析管理模組111連接，適於接收帳務資料，若校正機器學習模組115判斷品名、交易對象與會計項目的對應關係錯誤，則修正帳務資料中品名、交易對象與會計項目的對應關係，並將品名、交易對象及會計項目的對應關係加入詞庫113。也就是說，校正機器學習模組115可判斷出錯誤的品名、交易對象與會計項目的對應關係，並修正品名、交易對象與會計項目的對應關係，或是在詞庫113中加入新的對應關係。在一實施例中，校正機器學習模組115是通訊連接至外部的使用者裝置20’。進一步的，使用者裝置20’還適於輸入一修正指令，校正機器學習模組115便會根據修正指令修正品名、交易對象與會計項目的對應關係。請參閱圖2，圖2所繪示為電子發票的示意圖。在一實施例中，當交易對象裝置10發送電子發票資料200與部門名稱資料至電子發票智能自動會計帳務平台100，由智能會計帳務處理系統110接收電子發票資料200。接著字元語意分析管理模組111便會將電子發票資料200中的品名文字202與交易對象文字201a、201b比較詞庫113內的資料，並且找出品名文字202與交易對象文字201a、201b對應的會計項目。例如「記帳與財務報表製作」就對應到會計項目「勞務費」（編號：2071）。在另一實施例中，會計人員也可透過使用者裝置20’瀏覽字元語意分析管理模組111的比對結果，並且經由使用者裝置20’輸入修正指令，讓機器學習模組115修正詞庫113中的資料，同時機器學習模組115也會學習這個修正過程。而當字元語意分析管理模組111完成分析之後，根據分析的結果產生一帳務資料，帳務資料即包括了會計項目、支出、收入、對象等資料。接下來，帳務處理模組112便根據帳務資料產生一帳務指令，並將帳務指令傳送至帳務資料庫114。帳務資料庫114接收到帳務指令後，便修正對應的財務資料。例如於買方的財務資料中增加「勞務費」的支出，而在賣方的財務資料中增加「勞務費」的收入。即完成入帳。請參閱圖3，圖3所繪示為輸入電子發票之示意圖。當使用者經由使用者裝置140操作電子發票智能自動會計帳務平台100建立發票時，可從使用者裝置20的顯示器瀏覽操作介面300。在操作介面300上使用者可輸入電子發票資料所需的各類細項資料。其中，使用者可在選項301中選擇所輸入的發票型式，即為交換發票或存證發票，而智能會計帳務處理系統110則會根據電子發票資料中的發票型式判斷是否進行識別。若電子發票資料（來自交易對象裝置10或電子發票開立系統130）的類型為存證發票，智能會計帳務處理系統110則會直接進行語意分析與帳務處理，產生帳務資料與帳務指令。若電子發票資料的類型為交換發票，電子發票開立系統130則會產生一詢問請求，並傳送至使用者裝置20。此時詢問請求會顯示於使用者裝置20的顯示螢幕，使用者便可經由使用者裝置20輸入一同意指令。而電子發票開立系統130在收到同意指令後，才會對電子發票資料進行語意分析並產生帳務資料與帳務指令。在一實施例中，若電子發票智能自動會計帳務平台100接收非預設格式的電子發票資料，即使用者為買方，交易對象為賣方，且交易對象裝置10安裝外部的電子發票系統的情況下。也就是說，外部的電子發票系統（非本創作之電子發票智能自動會計帳務平台100）所發出的電子發票資料即為非預設格式的電子發票資料。此時，若交易對象裝置10提供的電子發票資料為存證發票，則智能會計帳務處理系統110將該電子發票經由電子發票開立系統130傳送至使用者裝置20。在較佳實施例中，智能會計帳務處理系統110會以電子郵件的形式將電子發票資料傳送至使用者裝置20，而使用者經由使用者裝置20則可透過手動的方式（如人力辨識輸入或掃描條碼）將非預設格式的電子發票資料轉換為預設格式的電子發票資料。若交易對象裝置10提供的電子發票資料為交換發票，則電子發票開立系統130傳送詢問請求至使用者裝置20。若電子發票開立系統130從使用者裝置20取得同意指令，便會將非預設格式的電子發票資料轉換為預設格式的電子發票資料，傳送至智能會計帳務處理系統110的字元語意分析管理模組111，並對電子發票資料進行語意分析並產生帳務資料與帳務指令。在一實施例中，當電子發票智能自動會計帳務平台100的使用者為賣方時，只要使用者經由使用者裝置20輸入電子發票資料，不論所輸入的電子發票資料為存證發票或交換發票，智能會計帳務處理系統110都會進行語意分析並產生帳務資料與帳務指令。本創作之電子發票智能自動會計帳務平台100，可接收電子發票資料，並利用語意分析技術識別電子發票內容，包括交易對象、品名與金額等，並且自動根據識別結果，將電子發票的內容轉換成對應的會計項目，進一步的產生帳務指令，直接進入帳務資料庫114中。也就是說，使用者只需要接收開立端的電子發票資料，便可自動入帳，不需要在人工登記，可加快作業流程並減少錯誤的可能性。本創作以實施例說明如上，然其並非用以限定本創作所主張之專利權利範圍。其專利保護範圍當視後附之申請專利範圍及其等同領域而定。凡本領域具有通常知識者，在不脫離本專利精神或範圍內，所作之更動或潤飾，均屬於本創作所揭示精神下所完成之等效改變或設計，且應包含在下述之申請專利範圍內。 This creation provides an intelligent automatic accounting accounting platform for electronic invoices, which recognizes the content of electronic invoices by means of semantic analysis, and links with the accounting system to enter the account at the same time when the invoice is received. Please refer to Figure 1. Figure 1 shows the architecture diagram of the electronic invoice intelligent automatic accounting platform created for this creation. The created electronic invoice intelligent automatic accounting platform 100 is communicatively connected to at least one transaction object device 10, and the transaction object device 10 is suitable for providing an electronic invoice data and a department name data. The transaction object device 10 is a device used by the transaction object, such as a personal computer, a smart phone, or another user of the intelligent automatic accounting platform 100 for creating electronic invoices. When the transaction object device 10 is a seller (an invoice issuer), an electronic invoice data can be transmitted to the electronic invoice intelligent automatic accounting platform 100. And the electronic invoice data includes the product name, amount, uniform number data, invoice number data, transaction object and other data. Among them, the product name is the name of the product recorded in the electronic invoice data, and the transaction object data is the name of the buyer and the seller. In addition, the electronic invoice intelligent automatic accounting and accounting platform 100 is also communicatively connected to multiple external user devices 20, 20' as an interface for user operations, especially when the user of the electronic invoice intelligent automatic accounting and accounting platform 100 is When the invoice is issued. The created electronic invoice intelligent automatic accounting platform 100 includes an intelligent accounting processing system 110 and an electronic invoice issuance system 130. The electronic invoice issuance system 130 is adapted to provide at least one electronic invoice data. Specifically, the electronic invoice issuance system 130 is a system used by users to issue electronic invoices. When the user of the created electronic invoice intelligent automatic accounting platform 100 is a seller, it can be issued through electronic invoices. The system 130 inputs relevant data (product name, transaction object data, amount or invoice type, etc.) and enters the name of the designated department, so that the electronic invoice issuance system 130 generates corresponding electronic invoice data and department name data. Further, the electronic invoice issuance system 130 is also connected to an external user device 20. The user device 20 includes a display screen and an input device for the user to browse or input data. The intelligent accounting processing system 110 is the main computing component of the electronic invoice intelligent automatic accounting platform 100. The intelligent accounting processing system 110 is suitable for receiving electronic invoice data and departments from the transaction object device 10 or the electronic invoice issuance system 130 Name information. The intelligent accounting processing system 110 includes a vocabulary database 113, a character semantic analysis management module 111, an accounting processing module 112, a calibration machine learning module 115, and an accounting database 114. They respectively represent various calculation functions of the intelligent accounting processing system 110. The thesaurus 113 stores multiple accounting items corresponding to product names and transaction objects. In other words, the thesaurus 113 records the correspondence between various product names, transaction objects, and accounting items, that is, the correspondence between various commodities and accounting items, for example, "paper" corresponds to "stationery expenses." In one embodiment, the thesaurus 113 further includes a departmental word database, a product noun database, and a transaction target word database. The transaction target word database also records the names of transaction objects (that is, customers and suppliers), and the word database The department thesaurus in, records the name of the company's department. The character semantic analysis management module 111 is connected to the thesaurus 113, and the character semantic analysis management module 111 is adapted to receive electronic invoice data. The character semantic analysis management module 111 is also suitable for searching for the accounting item corresponding to the product name from the lexicon, and generating an accounting data. Among them, the accounting data is, for example, the income or expenditure data of each item. In other words, after the character semantic analysis management module 111 receives the electronic invoice data, it compares the electronic invoice data with the data in the thesaurus 113, and further finds the product name, transaction object, and corresponding accounting item from the thesaurus 113 , And generate actual income or expenditure data based on the analysis results. For example, "Accounting and Financial Statement Preparation" corresponds to the accounting item "Labor Service Expenses" (No.: 2071), and the accounting data of the labor expense expenditure is generated. In one embodiment, in addition to the product noun database, the character semantic analysis management module 111 is also suitable for referencing the transaction object vocabulary, that is, the transaction object name will also be included in the semantic analysis range, and further use the transaction object vocabulary The corresponding data in the categorization. The accounting processing module 112 is connected to the character semantic analysis management module 111, receives accounting data, and generates an accounting instruction. In other words, the accounting processing module 112 can generate an accounting instruction based on the content of the accounting data, that is, accounting items, expenditures, or income, and this accounting instruction is the basis for actual accounting. The accounting database 114 stores multiple financial data, which is suitable for receiving accounting instructions and modifying corresponding financial data according to the accounting instructions. Specifically, the financial data stored in the accounting database 114 is the financial data of the user (company line number, etc.), and when the accounting database 114 receives an accounting instruction, it will follow the content of the accounting instruction. (Transaction objects, accounting items, expenditures, income, amount) are written into the corresponding financial data, and the accounting is officially completed, preferably including the simultaneous writing of the accounting data of the buyer and the seller. The calibration machine learning module 115 is connected to the character semantic analysis management module 111, and is suitable for receiving accounting data. If the calibration machine learning module 115 determines that the correspondence between the product name, transaction object, and accounting item is wrong, it will correct the accounting data Correspondence between product name, transaction object, and accounting item, and add the corresponding relationship between product name, transaction object, and accounting item to the thesaurus 113. In other words, the correction machine learning module 115 can determine the wrong product name, the corresponding relationship between the transaction object and the accounting item, and modify the corresponding relationship between the product name, transaction object and the accounting item, or add a new correspondence in the thesaurus 113 relation. In one embodiment, the calibration machine learning module 115 is communicatively connected to an external user device 20'. Further, the user device 20' is also adapted to input a correction instruction, and the correction machine learning module 115 will correct the correspondence between the product name, transaction object and accounting item according to the correction instruction. Please refer to Figure 2. Figure 2 shows a schematic diagram of an electronic invoice. In one embodiment, when the transaction object device 10 sends the electronic invoice data 200 and department name data to the electronic invoice intelligent automatic accounting platform 100, the electronic invoice data 200 is received by the intelligent accounting processing system 110. Then the character semantic analysis management module 111 compares the product name text 202 in the electronic invoice data 200 with the transaction target text 201a, 201b to the data in the thesaurus 113, and finds out the product name text 202 corresponds to the transaction target text 201a, 201b Accounting items. For example, "Accounting and Financial Statement Preparation" corresponds to the accounting item "Labor Service Expenses" (No.: 2071). In another embodiment, the accountant can also browse the comparison result of the character semantic analysis management module 111 through the user device 20', and input a correction command through the user device 20' to allow the machine learning module 115 to correct the word The data in the library 113, and the machine learning module 115 will also learn this correction process. After the character semantic analysis management module 111 completes the analysis, it generates an accounting data according to the analysis result. The accounting data includes data such as accounting items, expenditures, income, and objects. Next, the accounting processing module 112 generates an accounting instruction based on the accounting data, and transmits the accounting instruction to the accounting database 114. After receiving the accounting instruction, the accounting database 114 revises the corresponding financial data. For example, increase the expenditure of "labor service fee" in the buyer's financial information, and increase the income of "labor service fee" in the seller's financial information. The account is completed. Please refer to Figure 3. Figure 3 shows a schematic diagram of entering an electronic invoice. When the user operates the electronic invoice intelligent automatic accounting platform 100 to create an invoice via the user device 140, the operating interface 300 can be browsed from the display of the user device 20. On the operation interface 300, the user can input various types of detailed data required for the electronic invoice data. Among them, the user can select the entered invoice type in the option 301, that is, an exchange invoice or a certificated invoice, and the intelligent accounting processing system 110 will determine whether to identify based on the invoice type in the electronic invoice data. If the type of electronic invoice data (from the transaction object device 10 or the electronic invoice issuance system 130) is a certificated invoice, the intelligent accounting processing system 110 will directly perform semantic analysis and accounting processing to generate accounting data and accounting instruction. If the type of the electronic invoice data is an exchange invoice, the electronic invoice issuance system 130 will generate an inquiry request and send it to the user device 20. At this time, the inquiry request will be displayed on the display screen of the user device 20, and the user can input a consent command through the user device 20. After the electronic invoice issuance system 130 receives the consent instruction, it will perform semantic analysis on the electronic invoice data and generate accounting data and accounting instructions. In one embodiment, if the electronic invoice intelligent automatic accounting platform 100 receives electronic invoice data in a non-preset format, that is, the user is the buyer, the transaction object is the seller, and the transaction object device 10 is installed with an external electronic invoice system Down. In other words, the electronic invoice data issued by the external electronic invoice system (the electronic invoice intelligent automatic accounting platform 100 not created by this book) is the electronic invoice data in a non-preset format. At this time, if the electronic invoice data provided by the transaction object device 10 is a certificated invoice, the intelligent accounting processing system 110 transmits the electronic invoice to the user device 20 via the electronic invoice issuance system 130. In a preferred embodiment, the intelligent accounting processing system 110 will send the electronic invoice data to the user device 20 in the form of e-mail, and the user can use the user device 20 through manual means (such as human identification input Or scan the barcode) to convert the non-pre-formatted electronic invoice data to the pre-formatted electronic invoice data. If the electronic invoice data provided by the transaction object device 10 is an exchange invoice, the electronic invoice issuance system 130 sends an inquiry request to the user device 20. If the electronic invoice issuance system 130 obtains the consent command from the user device 20, it will convert the electronic invoice data in the non-preset format into the electronic invoice data in the preset format, and send it to the intelligent accounting processing system 110. Analyze the management module 111, and perform semantic analysis on the electronic invoice data and generate accounting data and accounting instructions. In one embodiment, when the user of the electronic invoice intelligent automatic accounting platform 100 is the seller, as long as the user enters the electronic invoice data through the user device 20, whether the input electronic invoice data is a certificated invoice or an exchange invoice , The intelligent accounting and accounting processing system 110 will perform semantic analysis and generate accounting data and accounting instructions. The created electronic invoice intelligent automatic accounting platform 100 can receive electronic invoice data, and use semantic analysis technology to identify the content of the electronic invoice, including the transaction object, product name and amount, etc., and automatically convert the content of the electronic invoice according to the identification result The corresponding accounting items are generated, and accounting instructions are further generated, and directly entered into the accounting database 114. In other words, the user only needs to receive the electronic invoice data from the issuing end, and it can be automatically credited to the account without manual registration, which can speed up the operation process and reduce the possibility of errors. This creation is illustrated above with examples, but they are not used to limit the scope of the patent rights claimed by this creation. The scope of its patent protection shall be determined by the scope of the attached patent application and its equivalent fields. Any person with ordinary knowledge in the field, without departing from the spirit or scope of this patent, makes changes or modifications that are equivalent changes or designs completed under the spirit of this creation, and should be included in the scope of the following patent applications Inside.

10:交易對象裝置 100:電子發票智能自動會計帳務平台 110:智能會計帳務處理系統 111:字元語意分析管理模組 112:帳務處理模組 113:詞庫 114:帳務資料庫 115:校正機器學習模組 130:電子發票開立系統 20、20’:使用者裝置 200:電子發票 201a、201b:交易對象文字 202:品名文字 300:操作介面 301:選項10: Transaction target device 100: Electronic invoice intelligent automatic accounting and accounting platform 110: Intelligent accounting processing system 111: Character Semantic Analysis Management Module 112: Accounting Processing Module 113: Thesaurus 114: Accounting database 115: Calibrate the machine learning module 130: Electronic invoice issuance system 20, 20’: User device 200: Electronic invoice 201a, 201b: text of the transaction object 202: Product name text 300: Operation interface 301: Option

圖1所繪示為本創作之電子發票智能自動會計帳務平台架構圖。圖2所繪示為電子發票的示意圖。圖3所繪示為輸入電子發票之示意圖。 Figure 1 shows the architecture diagram of the electronic invoice intelligent automatic accounting platform created by this author. Figure 2 shows a schematic diagram of an electronic invoice. Figure 3 shows a schematic diagram of entering an electronic invoice.

10:交易對象裝置 10: Transaction target device

100:電子發票智能自動會計帳務平台 100: Electronic invoice intelligent automatic accounting and accounting platform

110:智能會計帳務處理系統 110: Intelligent accounting processing system

111:字元語意分析管理模組 111: Character Semantic Analysis Management Module

112:帳務處理模組 112: Accounting Processing Module

113:詞庫 113: Thesaurus

114:帳務資料庫 114: Accounting database

115:校正機器學習模組 115: Calibrate the machine learning module

130:電子發票開立系統 130: Electronic invoice issuance system

20、20’:使用者裝置 20, 20’: User device

Claims

An electronic invoice intelligent automatic accounting and accounting platform, which is communicatively connected to an external transaction object device and at least one user device. The transaction object device is adapted to provide at least one electronic invoice data and a department name data. The electronic invoice data includes a Product name, a unified number data, an invoice number data and a transaction object data, the electronic invoice intelligent automatic accounting accounting platform includes: An electronic invoice issuance system, communicatively connected to the user device, suitable for providing the electronic invoice information; and An intelligent accounting processing system, which is communicatively connected to the electronic invoice issuance system, and is suitable for receiving the electronic invoice data. The intelligent accounting processing system includes: A word database, which stores the accounting items corresponding to the product name and the transaction object data; A character semantic analysis management module is connected to the vocabulary. The character semantic analysis management module is adapted to receive the electronic invoice data and read the product name and the transaction object data. The character semantic analysis management module The group is also suitable for searching the accounting item corresponding to the product name and the transaction object data from the word database, and generating an accounting data; An accounting processing module, connected to the character semantic analysis management module, receiving the accounting data, and generating an accounting instruction; and An accounting database is connected to the intelligent accounting processing system and stores multiple financial data, which is suitable for receiving the accounting instruction and modifying the corresponding financial data according to the accounting instruction.

The electronic invoice intelligent automatic accounting and accounting platform according to claim 1, wherein the intelligent accounting and accounting processing system further includes a calibration machine learning module connected to the character semantic analysis management module and the user device, It is suitable for receiving the accounting data. If the correction machine learning module judges that the corresponding relationship between the product name and the accounting item is wrong, it will correct the corresponding relationship between the product name and the accounting item in the accounting data, and combine the product name and the accounting item. The corresponding relationship of accounting items is added to the dictionary.

The electronic invoice intelligent automatic accounting accounting platform according to claim 2, wherein the user device is adapted to input a correction instruction, and the correction machine learning module corrects the product name and the accounting in the accounting data according to the correction instruction. The corresponding relationship of the item, and the corresponding relationship of the product name, the department name and the accounting item is added to the word database.

The electronic invoice intelligent automatic accounting accounting platform described in claim 1, wherein, when the intelligent accounting processing system receives the electronic invoice data in a non-preset format, and the type of the electronic invoice data is a certificated invoice, it will The electronic invoice data is transmitted to the user device through the electronic invoice issuance system.

The electronic invoice intelligent automatic accounting accounting platform described in claim 1, wherein, when the intelligent accounting processing system receives the electronic invoice data in a non-preset format, and the type of the electronic invoice data is an exchange invoice, the electronic The invoice issuance system produces and receives an inquiry request to the user device. After the electronic invoice issuance system receives a consent instruction, it converts the electronic invoice data in the non-preset format into the electronic invoice data in the preset format, and sends it To the semantic analysis management module of the character.