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TWI780427B - Account cash flow analysis and warning system and method thereof - Google Patents

Account cash flow analysis and warning system and method thereof Download PDF

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Publication number
TWI780427B
TWI780427B TW109112739A TW109112739A TWI780427B TW I780427 B TWI780427 B TW I780427B TW 109112739 A TW109112739 A TW 109112739A TW 109112739 A TW109112739 A TW 109112739A TW I780427 B TWI780427 B TW I780427B
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account
transaction
score
bank
transfer
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TW109112739A
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TW202141395A (en
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黃郁倩
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彰化商業銀行股份有限公司
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Abstract

An account cash flow analysis and warning system and a method are provided. Transaction frequency, transaction amount, and total number of trading accounts of bank account information and merchant account information are analyzed to set transaction type, transaction identity, number of abnormal transactions, and account usage and set trust score, abnormal score, and usage score which are correspondence with transaction type, transaction identity, number of abnormal transactions, and account usage respectively by an analysis server. Difference between the capital entry and the capital outflow of the bank account and the average balance of the bank account are analyzed to set rating of bank account by the analysis server. Trust score of transaction type, transaction frequency, transaction amount, and trading account is inquired according to transfer-out account and transfer-in account and account score, anomaly score, and usage score is inquired according to transfer-out account and transfer-in account by the analysis server. All of trust scores, account score, anomaly score and usage score which are inquired are summed to calculate total score of transaction by the analysis server. Warning information is generated according to total score of transaction by the analysis server. The warning information is transferred to client device from the analysis server. Therefore, the efficiency of providing account cash flow analysis and warning may be achieved.

Description

帳戶金流分析與警示系統及其方法Account cash flow analysis and warning system and method

一種帳戶金流分析與警示系統及其方法,尤其是指一種帳戶金流分析與警示系統及其方法。 An account cash flow analysis and warning system and its method, especially an account gold flow analysis and warning system and its method.

隨者自動化交易普及化加上電商蓬勃發展、個人商家盛行,除了帶來業務商機,也帶來了危機,因為轉帳的方便稍不注意就可能造成金錢上的損失。 With the popularization of automated transactions, the vigorous development of e-commerce and the prevalence of individual merchants, in addition to bringing business opportunities, it also brings crises, because a little carelessness in the convenience of transfers may cause monetary losses.

因此若能有一個系統可以根據帳戶的金流狀況進行分級,在客戶進行轉帳輸入對手帳號時,即時給予對方帳號的金流狀況判斷結果,提示進行此筆交易的風險大小,替客戶多一層把關、避免客戶金錢上的損失;若非得進行交易,銀行也可從中提供保險的建議,甚至開發新的相關商品,為銀行帶來更多的商機。 Therefore, if there is a system that can classify according to the cash flow status of the account, when the customer transfers to the counterparty's account, it will immediately give the judgment result of the cash flow status of the other party's account, prompting the risk of the transaction, and provide an extra layer of checks for the customer , To avoid the customer's monetary loss; if the transaction is necessary, the bank can also provide insurance advice, and even develop new related products, bringing more business opportunities to the bank.

另一方面,一般民眾最常遇到的就是電話詐騙,透過帳戶的金流監控,找出疑似電話詐騙的交易,可提前對客戶進行通知及警告,即使無法在第一時間阻止,也能透過金流方向,將對手帳戶列入疑似詐騙名單,提高頻率 的監控,一有狀況便通報警民系統,做進一步的正式盤查與確認,達到防範電話詐騙的目的。 On the other hand, the most common thing that ordinary people encounter is telephone fraud. Through the cash flow monitoring of accounts, transactions suspected of telephone fraud can be found out, and customers can be notified and warned in advance. In the direction of cash flow, the opponent's account is included in the list of suspected fraud, and the frequency is increased Once there is a situation, it will call the police system for further formal investigation and confirmation to achieve the purpose of preventing telephone fraud.

綜上所述,可知先前技術中長期以來一直存在銀行帳戶金流不具警示的問題,因此有必要提出改進的技術手段,來解決此一問題。 To sum up, it can be seen that there has been a problem in the prior art for a long time that there is no warning of the cash flow in the bank account, so it is necessary to propose an improved technical means to solve this problem.

有鑒於先前技術存在銀行帳戶金流不具分析與警示的問題,本發明遂揭露一種帳戶金流分析與警示系統及其方法,其中:本發明所揭露的帳戶金流分析與警示系統,其包含:多個銀行伺服器、多個電商平台、客戶端裝置以及分析伺服器,分析伺服器更包含:接收模組、交易分析模組、評分模組、查詢模組、計算模組、生成模組以及傳送模組。 In view of the problem that the bank account cash flow does not have analysis and warning in the prior art, the present invention discloses an account cash flow analysis and warning system and its method, wherein: the account cash flow analysis and warning system disclosed in the present invention includes: Multiple bank servers, multiple e-commerce platforms, client devices, and analysis servers. The analysis server further includes: receiving module, transaction analysis module, scoring module, query module, calculation module, and generation module and the transfer module.

每一個銀行伺服器儲存有多筆銀行帳戶資訊;每一個電商平台儲存有多筆商家帳戶資訊;客戶端裝置在進行電子交易過程中提供轉出帳戶以及轉入帳戶,客戶端裝置在進行電子交易過程中接收警示資訊並進行警示。 Each bank server stores multiple bank account information; each e-commerce platform stores multiple merchant account information; the client device provides transfer-out account and transfer-in account during the electronic transaction process, and the client device performs electronic transactions. Receive warning information and give warning during the transaction process.

分析伺服器的接收模組是用以自每一個銀行伺服器接收對應的多筆銀行帳戶資訊,自每一個電商平台接收對應的多筆商家帳戶資訊,自客戶端裝置接收轉出帳戶以及轉入帳戶;分析伺服器的交易分析模組是依據銀行帳戶資訊以及商家帳戶資訊對銀行帳戶的交易頻率、交易金額以及交易對象總數進行分析以分析出銀行帳戶的交易類型、交易身分、異常交易數量以及帳戶用途,並對銀行帳戶資訊以及商家帳戶資訊的銀行帳戶進行交易類型、交易身分、異常交易數量以及帳戶用途與對應信賴評分、異常評分以及用途評分的設 定;分析伺服器的評分模組是用以對銀行帳戶的資金進入與資金流出的差值以及銀行帳戶的平均餘額進行分析以分析且設定銀行帳戶的帳戶評分;分析伺服器的查詢模組是用以當接收模組接收到轉出帳戶以及轉入帳戶時,分別依據轉出帳戶以及轉入帳戶查詢出對應的各交易類型、交易頻率、交易金額以及交易對象的信賴評分,以及依據轉出帳戶以及轉入帳戶查詢出對應的銀行帳戶的帳戶評分、異常評分以及用途評分;分析伺服器的計算模組是將被查詢出的各信賴評分、帳戶評分、異常評分以及用途評分加總以計算出該次交易的評分總值;分析伺服器的生成模組是用以依據評分總值生成對應的警示資訊;及分析伺服器的傳送模組是用以傳送警示資訊至客戶端裝置。 The receiving module of the analysis server is used to receive the corresponding multiple bank account information from each bank server, receive the corresponding multiple merchant account information from each e-commerce platform, and receive the transfer-out account and transfer-out account information from the client device. into the account; the transaction analysis module of the analysis server analyzes the transaction frequency, transaction amount and total number of transaction objects of the bank account based on the bank account information and merchant account information to analyze the transaction type, transaction identity and abnormal transaction quantity of the bank account And account purpose, and set the transaction type, transaction identity, abnormal transaction quantity and account purpose and the corresponding trust score, abnormal score and use score for the bank account information and merchant account information The scoring module of the analysis server is used to analyze the difference between the fund inflow and outflow of the bank account and the average balance of the bank account to analyze and set the account score of the bank account; the query module of the analysis server is When the receiving module receives the transfer-out account and the transfer-in account, it is used to query the corresponding transaction types, transaction frequency, transaction amount and the trust score of the transaction object according to the transfer-out account and the transfer-in account respectively, and according to the transfer-out account The account score, abnormal score and use score of the corresponding bank account are queried for the account and the transfer-in account; the calculation module of the analysis server is calculated by summing up the queried trust score, account score, abnormal score and use score The total score value of the transaction is obtained; the generation module of the analysis server is used to generate corresponding warning information according to the total score value; and the transmission module of the analysis server is used to send the warning information to the client device.

本發明所揭露的帳戶金流分析與警示方法,其包含下列步驟:首先,設置多個銀行伺服器,每一個銀行伺服器儲存有多筆銀行帳戶資訊;接著,設置多個電商平台,每一個電商平台儲存有多筆商家帳戶資訊;接著,分析伺服器自每一個銀行伺服器接收對應的多筆銀行帳戶資訊;接著,分析伺服器自每一個電商平台接收對應的多筆商家帳戶資訊;接著,分析伺服器依據銀行帳戶資訊以及商家帳戶資訊對銀行帳戶的交易頻率、交易金額以及交易對象總數進行分析以分析出銀行帳戶的交易類型、交易身分、異常交易數量以及帳戶用途,並對銀行帳戶資訊以及商家帳戶資的銀行帳戶訊進行交易類型、交易身分、異常交易數量以及帳戶用途與對應信賴評分、異常評分以及用途評分的設定;接著,分析伺服器對銀行帳戶的資金進入與資金流出的差值以及銀行帳戶的平均餘額進行分析以分析且設定銀行帳戶的帳戶評分;接著,客戶端裝置在進行電子交易過程中提供轉出帳戶以及轉入帳戶至分析伺服器;接著,分析伺服器分別依據轉出帳戶以及轉入帳戶查詢出對應的各交易類 型、交易頻率、交易金額以及交易對象的信賴評分,以及依據轉出帳戶以及轉入帳戶查詢出對應的銀行帳戶的帳戶評分、異常評分以及用途評分;接著,分析伺服器將被查詢出的各信賴評分、帳戶評分、異常評分以及用途評分加總以計算出該次交易的評分總值;接著,分析伺服器依據評分總值生成對應的警示資訊;最後,分析伺服器傳送警示資訊至客戶端裝置並進行警示。 The account gold flow analysis and warning method disclosed in the present invention includes the following steps: firstly, set up multiple bank servers, and each bank server stores multiple bank account information; then, set up multiple e-commerce platforms, each An e-commerce platform stores multiple merchant account information; then, the analysis server receives corresponding multiple bank account information from each bank server; then, the analysis server receives corresponding multiple merchant accounts from each e-commerce platform information; then, the analysis server analyzes the transaction frequency, transaction amount, and total number of transaction objects of the bank account based on the bank account information and merchant account information to analyze the transaction type, transaction identity, abnormal transaction quantity, and account usage of the bank account, and For bank account information and bank account information of merchant account information, set the transaction type, transaction identity, number of abnormal transactions, and account use and the corresponding trust score, abnormal score, and use score; then, analyze the server's information on the funds entering the bank account and The difference between the outflow of funds and the average balance of the bank account is analyzed to analyze and set the account score of the bank account; then, the client device provides the transfer-out account and the transfer-in account to the analysis server during the electronic transaction process; then, the analysis The server queries the corresponding transaction types according to the transfer-out account and transfer-in account respectively type, transaction frequency, transaction amount, and trust score of the transaction object, as well as query the account score, abnormal score, and use score of the corresponding bank account based on the transfer-out account and the transfer-in account; The total score of the transaction is calculated by adding the trust score, account score, exception score, and use score; then, the analysis server generates corresponding warning information based on the total score; finally, the analysis server sends the warning information to the client device and give a warning.

本發明所揭露的系統及方法如上,與先前技術之間的差異在於分析伺服器依據銀行帳戶資訊以及商家帳戶資訊對銀行帳戶的交易頻率、交易金額以及交易對象總數進行分析與設定交易類型、交易身分、異常交易數量以及帳戶用途與對應信賴評分、異常評分以及用途評分,以及對銀行帳戶的資金進入與資金流出的差值以及銀行帳戶的平均餘額進行分析以分析且設定銀行帳戶的帳戶評分,分析伺服器分別依據轉出帳戶以及轉入帳戶查詢出對應的各交易類型、交易頻率、交易金額以及交易對象的信賴評分,以及依據轉出帳戶以及轉入帳戶查詢出對應的銀行帳戶的帳戶評分、異常評分以及用途評分,分析伺服器將被查詢出的各信賴評分、帳戶評分、異常評分以及用途評分加總以計算出該次交易的評分總值並生成對應的警示資訊提供至客戶端裝置加以警示。 The system and method disclosed in the present invention are as above, and the difference from the prior art is that the analysis server analyzes and sets the transaction type, transaction frequency, transaction amount, and total number of transaction objects of the bank account based on the bank account information and merchant account information. Identity, number of abnormal transactions and account usage and corresponding trust score, abnormal score and usage score, as well as analyzing the difference between the fund in and out of the bank account and the average balance of the bank account to analyze and set the account score of the bank account, The analysis server inquires the corresponding transaction types, transaction frequency, transaction amount and trust score of the transaction object according to the transfer-out account and transfer-in account, and obtains the account score of the corresponding bank account according to the transfer-out account and transfer-in account , anomaly score and use score, the analysis server will sum up the queried trust score, account score, exception score and use score to calculate the total score of the transaction and generate corresponding warning information to the client device Be warned.

透過上述的技術手段,本發明可以達成提供銀行帳戶金流分析與警示的技術功效。 Through the above-mentioned technical means, the present invention can achieve the technical effect of providing bank account cash flow analysis and warning.

10:銀行伺服器 10: Bank server

20:電商平台 20: E-commerce platform

30:客戶端裝置 30: Client device

40:分析伺服器 40: Analysis Server

41:接收模組 41: Receiving module

42:交易分析模組 42: Transaction analysis module

43:評分模組 43: Scoring Module

44:查詢模組 44: query module

45:計算模組 45: Calculation module

46:生成模組 46: Generate modules

47:傳送模組 47: Teleportation Module

51:分析內容 51: Analysis content

52:評分設定內容 52: Scoring setting content

53:帳戶評分內容 53:Account rating content

54:異常評等內容 54: Abnormal rating content

55:帳戶用途評等內容 55:Account usage rating content

56:警示資訊內容 56:Warning information content

步驟101:設置多個銀行伺服器,每一個銀行伺服器儲存有多筆銀行帳戶資訊 Step 101: Set up multiple bank servers, each bank server stores multiple bank account information

步驟102:設置多個電商平台,每一個電商平台儲存有多筆商家帳戶資訊 Step 102: Set up multiple e-commerce platforms, and each e-commerce platform stores multiple merchant account information

步驟103:分析伺服器自每一個銀行伺服器接收對應的多筆銀行帳戶資訊 Step 103: The analysis server receives corresponding multiple bank account information from each bank server

步驟104:分析伺服器自每一個電商平台接收對應的多筆商家帳戶資訊 Step 104: The analysis server receives corresponding multiple merchant account information from each e-commerce platform

步驟105:分析伺服器依據銀行帳戶資訊以及商家帳戶資訊對銀行帳戶的交易頻率、交易金額以及交易對象總數進行分析以分析出銀行帳戶的交易類型、交易身分、異常交易數量以及帳戶用途,並對銀行帳戶資訊以及商家帳戶資的銀行帳戶訊進行交易類型、交易身分、異常交易數量以及帳戶用途與對應信賴評分、異常評分以及用途評分的設定 Step 105: The analysis server analyzes the transaction frequency, transaction amount, and total number of transaction objects of the bank account based on the bank account information and merchant account information to analyze the transaction type, transaction identity, abnormal transaction quantity, and account usage of the bank account, and analyze Bank account information and bank account information of merchant account information for transaction type, transaction identity, number of abnormal transactions, and account usage and corresponding trust score, exception score, and use score settings

步驟106:分析伺服器對銀行帳戶的資金進入與資金流出的差值以及銀行帳戶的平均餘額進行分析以分析且設定銀行帳戶的帳戶評分 Step 106: The analysis server analyzes the difference between the fund in and out of the bank account and the average balance of the bank account to analyze and set the account score of the bank account

步驟107:客戶端裝置在進行電子交易過程中提供轉出帳戶以及轉入帳戶至分析伺服器 Step 107: The client device provides the transfer-out account and transfer-in account to the analysis server during the electronic transaction

步驟108:分析伺服器分別依據轉出帳戶以及轉入帳戶查詢出對應的各交易類型、交易頻率、交易金額以及交易對象的信賴評分,以及依 據轉出帳戶以及轉入帳戶查詢出對應的銀行帳戶的帳戶評分、異常評分以及用途評分 Step 108: The analysis server queries the corresponding transaction types, transaction frequency, transaction amount and the trust score of the transaction object according to the transfer-out account and the transfer-in account respectively, and Query the account score, abnormal score and use score of the corresponding bank account according to the transfer-out account and the transfer-in account

步驟109:分析伺服器將被查詢出的各信賴評分、帳戶評分、異常評分以及用途評分加總以計算出該次交易的評分總值 Step 109: The analysis server sums up the queried trust scores, account scores, exception scores and use scores to calculate the total score of the transaction

步驟110:分析伺服器依據評分總值生成對應的警示資訊 Step 110: The analysis server generates corresponding warning information according to the total score

步驟111:分析伺服器傳送警示資訊至客戶端裝置並進行警示 Step 111: Analysis server sends alert information to client device and alerts

第1圖繪示為本發明帳戶金流分析與警示系統的系統方塊圖。 Figure 1 is a system block diagram of the account cash flow analysis and warning system of the present invention.

第2圖繪示為本發明帳戶金流分析與警示的交易類型分析示意圖。 Fig. 2 is a schematic diagram of transaction type analysis of account cash flow analysis and warning in the present invention.

第3圖繪示為本發明帳戶金流分析與警示的評分設定示意圖。 Fig. 3 is a schematic diagram of scoring setting for account cash flow analysis and warning according to the present invention.

第4圖繪示為本發明帳戶金流分析與警示的帳戶評分設定示意圖。 Fig. 4 is a schematic diagram of account scoring setting for account cash flow analysis and warning according to the present invention.

第5圖繪示為本發明帳戶金流分析與警示的異常評分示意圖。 Fig. 5 is a schematic diagram of anomaly scoring for account cash flow analysis and warning in the present invention.

第6圖繪示為本發明帳戶金流分析與警示的帳戶用途評分示意圖。 Fig. 6 is a schematic diagram of account usage scoring for account cash flow analysis and warning in the present invention.

第7圖繪示為本發明帳戶金流分析與警示的警示資訊示意圖。 Fig. 7 is a schematic diagram of the warning information of the account cash flow analysis and warning in the present invention.

第8A圖以及第8B圖繪示為本發明帳戶金流分析與警示方法的方法流程圖。 FIG. 8A and FIG. 8B are flow charts of the account cash flow analysis and warning method of the present invention.

以下將配合圖式及實施例來詳細說明本發明的實施方式,藉此對本發明如何應用技術手段來解決技術問題並達成技術功效的實現過程能充分理解並據以實施。 The implementation of the present invention will be described in detail below in conjunction with the drawings and examples, so that the realization process of how to use technical means to solve technical problems and achieve technical effects in the present invention can be fully understood and implemented accordingly.

以下首先要說明本發明所揭露的帳戶金流分析與警示系統,並請參考「第1圖」所示,「第1圖」繪示為本發明帳戶金流分析與警示系統的系統方塊圖。 Firstly, the account cash flow analysis and warning system disclosed in the present invention will be described below, and please refer to "Fig. 1", which is a system block diagram of the account cash flow analysis and warning system of the present invention.

本發明所揭露的帳戶金流分析與警示系統,其包含:多個銀行伺服器10、多個電商平台20、客戶端裝置30以及分析伺服器40,分析伺服器40更包含:接收模組41、交易分析模組42、評分模組43、查詢模組44、計算模組45、生成模組46以及傳送模組47。 The account cash flow analysis and warning system disclosed in the present invention includes: multiple bank servers 10, multiple e-commerce platforms 20, client devices 30, and an analysis server 40, and the analysis server 40 further includes: a receiving module 41. Transaction analysis module 42, scoring module 43, query module 44, calculation module 45, generation module 46 and transmission module 47.

銀行伺服器10中儲存有多筆銀行帳戶資訊,銀行帳戶資訊即是記錄該銀行帳戶的交易明細,交易明細包含有轉帳、匯款、存入、提出…等,在此僅為舉例說明之,並不以此侷限本發明的應用範疇。 There are multiple bank account information stored in the bank server 10. The bank account information is to record the transaction details of the bank account. The transaction details include transfer, remittance, deposit, withdraw...etc. This does not limit the scope of application of the present invention.

電商平台20中儲存有多筆商家帳戶資訊,商家帳戶資訊即是記錄該商家在該店商平台中提供的銀行帳戶,該商家在該店商平台中提供的銀行帳戶數量可以是單一一筆或是多筆,多筆銀行帳戶是提供消費者選擇的用途。 The e-commerce platform 20 stores multiple pieces of merchant account information. The merchant account information is the record of the bank account provided by the merchant on the store platform. The number of bank accounts provided by the merchant on the store platform can be a single or It is multiple, and multiple bank accounts are used to provide consumers with choices.

客戶端裝置30是消費者所持有的電子裝置,客戶端裝置30例如是:智慧型手機、平板電腦、筆記型電腦、桌上型電腦…等,在此僅為舉例說明之,並不以此侷限本發明的應用範疇。 The client device 30 is an electronic device owned by a consumer. The client device 30 is, for example, a smart phone, a tablet computer, a notebook computer, a desktop computer, etc., which are only illustrated here and are not intended to be This limits the scope of application of the present invention.

前述的銀行伺服器10、電商平台20、客戶端裝置30以及分析伺服器40彼此之間是透過有線傳輸方式或是無線傳輸方式建立連線,前述的有線傳輸方式例如是:電纜網路、光纖網路…等,前述的無線傳輸方式例如是:Wi-Fi、行動通訊網路(例如:3G、4G、5G…等)…等,在此僅為舉例說明之,並不以此侷限本發明的應用範疇。 The aforementioned bank server 10, e-commerce platform 20, client device 30, and analysis server 40 are connected to each other through a wired transmission method or a wireless transmission method. The aforementioned wired transmission method is, for example, a cable network, Optical fiber network... etc. The aforementioned wireless transmission methods are, for example: Wi-Fi, mobile communication network (such as: 3G, 4G, 5G... etc.), etc., which are only used here for illustration and do not limit the present invention the scope of application.

分析伺服器40的接收模組41是用以自銀行伺服器10接收多筆銀行帳戶資訊,分析伺服器40的接收模組41也可以自電商平台20接收多筆商家帳戶資訊。 The receiving module 41 of the analysis server 40 is used to receive multiple pieces of bank account information from the bank server 10 , and the receiving module 41 of the analysis server 40 can also receive multiple pieces of merchant account information from the e-commerce platform 20 .

請參考「第2圖」以及「第3圖」所示,「第2圖」繪示為本發明帳戶金流分析與警示的分析內容示意圖;「第3圖」繪示為本發明帳戶金流分析與警示的評分設定示意圖。 Please refer to "Picture 2" and "Picture 3", "Picture 2" is a schematic diagram of the analysis content of the account cash flow analysis and warning of the present invention; "Picture 3" is a schematic diagram of the account cash flow of the present invention Schematic diagram of scoring settings for analytics and alerts.

在分析伺服器40的接收模組41是用以自銀行伺服器10接收多筆銀行帳戶資訊,以及分析伺服器40的接收模組41也可以自電商平台20接收多筆商家帳戶資訊後,分析伺服器40的交易分析模組42是依據銀行帳戶資訊以及商家帳戶資訊對銀行帳戶的交易頻率、交易金額以及交易對象總數進行分析以分析出銀行帳戶的交易類型、交易身分、異常交易數量以及帳戶用途,分析內容 51並請參考「第2圖」所示,且分析內容51僅為示意說明,本發明並不以此為限制,交易類型例如是:小額生活圈、大額生活圈、購物、繳費稅…等,交易身分例如是:個人帳戶、企業帳戶、銷帳帳戶…等,交易頻率例如是:每月低於5次、每月高於10次、每月或每年固定次數…等,交易金額例如是:每月累積低於1萬、每次交易金額高於1萬、每次固定金額…等,在此僅為舉例說明之,並不以此侷限本發明的應用範疇,當交易頻率為每月低於3次,交易金額為每次交易金額高於1萬時,即可分析出交易類型為大額生活圈,交易身分為企業帳戶,並由商家帳戶資訊即可分析出異常交易數量,且帳戶用途為商業用。 After the receiving module 41 of the analysis server 40 is used to receive multiple pieces of bank account information from the bank server 10, and the receiving module 41 of the analysis server 40 can also receive multiple pieces of business account information from the e-commerce platform 20, The transaction analysis module 42 of the analysis server 40 analyzes the transaction frequency, transaction amount and total number of transaction objects of the bank account based on the bank account information and merchant account information to analyze the transaction type, transaction identity, abnormal transaction quantity and Account usage, analysis content 51 and please refer to "Figure 2", and the analysis content 51 is only a schematic illustration, and the present invention is not limited thereto. The types of transactions are, for example: small-amount life circle, large-amount life circle, shopping, tax payment, etc. , the transaction identity is, for example: personal account, business account, write-off account, etc., the transaction frequency is, for example: less than 5 times per month, more than 10 times per month, fixed times per month or per year, etc., and the transaction amount is, for example, : The monthly accumulation is less than 10,000, the amount of each transaction is higher than 10,000, each fixed amount... etc., which are only for illustration here, and do not limit the scope of application of the present invention. When the transaction frequency is monthly If it is less than 3 times, and the transaction amount is more than 10,000 per transaction, it can be analyzed that the transaction type is a large-amount life circle, the transaction identity is a business account, and the number of abnormal transactions can be analyzed based on the business account information, and The purpose of the account is for business use.

分析伺服器40的交易分析模組42即可對被分析後銀行帳戶資訊以及商家帳戶資的銀行帳戶進行交易類型、交易身分、異常交易數量以及帳戶用途與對應信賴評分、異常評分以及用途評分的設定,評分設定內容52示意請參考如「第3圖」所示,在此不再進行贅述,且評分設定內容52僅為示意說明,本發明並不以此為限制,分析伺服器40的交易分析模組42對銀行帳戶進行交易類型、交易身分、異常交易數量以及帳戶用途與對應信賴評分、異常評分以及用途評分的設定即可提供後續評等計算使用。 The transaction analysis module 42 of the analysis server 40 can analyze the transaction type, transaction identity, abnormal transaction quantity, and account use and the corresponding trust score, abnormal score, and use score for the bank account information and merchant account information after analysis. Please refer to "Figure 3" for the illustration of the setting and rating setting content 52, which will not be repeated here, and the scoring setting content 52 is only a schematic illustration, and the present invention is not limited by this, and the transaction of the analysis server 40 The analysis module 42 sets the transaction types, transaction identities, abnormal transaction quantities, account usage and corresponding trust scores, abnormal scores, and usage scores for the bank accounts to provide subsequent rating calculations.

請參考「第4圖」所示,「第4圖」繪示為本發明帳戶金流分析與警示的帳戶評分設定示意圖。 Please refer to "Figure 4", which is a schematic diagram of account score setting for account cash flow analysis and warning in the present invention.

分析伺服器40的評分模組43是用以對銀行帳戶的資金進入與資金流出的差值以及銀行帳戶的平均餘額進行分析以分析且設定銀行帳戶的帳戶評分,銀行帳戶的平均餘額為季平均餘額或是年平均餘額,銀行帳戶的資金進入與資金流出的差值以及銀行帳戶的平均餘額分別採用T檢定(t-test檢定),T檢定請參考現有技術的說明,本發明不再進行贅述,且T檢定中 α=0.05,帳戶評分內容53請參考「第4圖」所示,在此不再進行贅述,且帳戶評分內容53僅為示意說明,本發明並不以此為限制。 The scoring module 43 of the analysis server 40 is used to analyze the difference between the capital inflow and capital outflow of the bank account and the average balance of the bank account to analyze and set the account score of the bank account. The average balance of the bank account is the quarterly average The balance or the annual average balance, the difference between the capital entry and capital outflow of the bank account and the average balance of the bank account adopt T test (t-test test) respectively. Please refer to the description of the prior art for the T test, and the present invention will not go into details , and T test α=0.05, please refer to "Figure 4" for the content of the account rating 53, which will not be repeated here, and the content of the account rating 53 is only a schematic illustration, and the present invention is not limited thereto.

分析伺服器40的接收模組41在自客戶端裝置30接收到轉出帳戶以及轉入帳戶後,分析伺服器40的查詢模組44即可分別依據轉出帳戶以及轉入帳戶查詢出對應的各交易類型、交易頻率、交易金額以及交易對象的信賴評分,以及依據所述轉出帳戶以及所述轉入帳戶查詢出對應的銀行帳戶的帳戶評分、異常評分以及用途評分。 After the receiving module 41 of the analysis server 40 receives the transfer-out account and the transfer-in account from the client device 30, the query module 44 of the analysis server 40 can query the corresponding account according to the transfer-out account and the transfer-in account respectively. The trust score of each transaction type, transaction frequency, transaction amount and transaction object, and querying the account score, abnormal score and use score of the corresponding bank account according to the transfer-out account and the transfer-in account.

接著,請同時參考「第3圖」、「第5圖」以及「第6圖」所示,「第5圖」繪示為本發明帳戶金流分析與警示的異常評分示意圖;「第6圖」繪示為本發明帳戶金流分析與警示的帳戶用途評分示意圖,接收轉出帳戶以及轉入帳戶。 Next, please refer to "Picture 3", "Picture 5" and "Picture 6" at the same time. "Picture 5" is a schematic diagram of the abnormal scoring of account cash flow analysis and warning in the present invention; "Picture 6 ” is a schematic diagram of account usage scoring for account cash flow analysis and warning in the present invention, receiving transfer-out accounts and transfer-in accounts.

異常評分以及帳戶用途評分已於分析伺服器40的交易分析模組42的分析過程被設定,其異常評分內容54請參考「第5圖」所示,帳戶用途評分內容55請參考「第6圖」所示,在此不再進行贅述,且異常評分內容54以及帳戶用途評分內容55僅為示意說明,本發明並不以此為限制,分析伺服器40的計算模組45可將被查詢出的各信賴評分、帳戶評分、異常評分以及用途評分加總以計算出評分總值。 Abnormal scoring and account usage scoring have been set in the analysis process of the transaction analysis module 42 of the analysis server 40. For the abnormal scoring content 54, please refer to "Figure 5", and for the account usage scoring content 55, please refer to "Figure 6 ”, which will not be repeated here, and the content of the abnormal score 54 and the content of the account use score 55 are only illustrative, and the present invention is not limited thereto. The calculation module 45 of the analysis server 40 can be queried The individual trust scores, account scores, exception scores, and usage scores for , are summed to calculate the total score.

接著,請參考「第7圖」所示,「第7圖」繪示為本發明帳戶金流分析與警示的警示資訊示意圖。 Next, please refer to "Figure 7", which is a schematic diagram of the warning information of the account cash flow analysis and warning in the present invention.

在分析伺服器40的計算模組45計算出評分總值後,分析伺服器40的生成模組46是用以依據評分總值生成對應的警示資訊,警示資訊內容56請參考「第7圖」所示,在此不再進行贅述,且警示資訊內容56僅為示意說明,本 發明並不以此為限制,分析伺服器40的交易分析模組42是依據帳戶用途評等55生成對應的警示資訊56,再由分析伺服器40的傳送模組47傳送警示資訊56至客戶端裝置30並進行警示,藉以提供消費者在交易時的進一步保障。 After the calculation module 45 of the analysis server 40 calculates the total score value, the generation module 46 of the analysis server 40 is used to generate corresponding warning information according to the total score value. Please refer to "Fig. 7" for the warning information content 56 As shown, it will not be repeated here, and the warning information content 56 is only a schematic description. The invention is not limited thereto. The transaction analysis module 42 of the analysis server 40 generates corresponding warning information 56 according to the account usage rating 55, and then the transmission module 47 of the analysis server 40 sends the warning information 56 to the client The device 30 also warns, so as to provide consumers with further protection during transactions.

除此之外,分析伺服器40的計算模組45所計算出的評分總值小於等於預設值且分析伺服器40的接收模組41自客戶端裝置30接收到確認轉帳指令時,分析伺服器40的生成模組46生成保險資訊,以由分析伺服器40的傳送模組47傳送保險資訊,在客戶端裝置30透過保險資訊申請通過保險時即可提供消費者在交易時的進一步保障,銀行也可以獲得額外業務拓展的目的。 In addition, when the total score value calculated by the calculation module 45 of the analysis server 40 is less than or equal to the preset value and the receiving module 41 of the analysis server 40 receives a confirmation transfer instruction from the client device 30, the analysis server The generation module 46 of the device 40 generates insurance information, so that the transmission module 47 of the analysis server 40 transmits the insurance information, and when the client device 30 applies for insurance through the insurance information, it can provide consumers with further protection during transactions. Banks can also obtain additional business expansion purposes.

分析伺服器40的計算模組45所計算出的評分總值小於等於預設值且分析伺服器40的接收模組41自客戶端裝置30接收到確認轉帳指令時,分析伺服器40的生成模組46生成監控帳戶指令以及交易暫時凍結指令,以由分析伺服器40的傳送模組47傳送監控帳戶指令以及交易暫時凍結指令至對應的銀行伺服器10以對轉出帳戶以及轉入帳戶進行監管並凍結交易,藉以提供消費者在交易時的進一步保障。 When the total score calculated by the calculation module 45 of the analysis server 40 is less than or equal to the preset value and the receiving module 41 of the analysis server 40 receives a confirmation transfer instruction from the client device 30, the generation module of the analysis server 40 The group 46 generates the monitoring account instruction and the transaction temporary freezing instruction, so that the transmission module 47 of the analysis server 40 transmits the monitoring account instruction and the transaction temporary freezing instruction to the corresponding bank server 10 to supervise the transfer-out account and the transfer-in account And freeze the transaction, so as to provide consumers with further protection during the transaction.

接著,以下將說明本發明運作方法,並請同時參考「第8A圖」以及「第8B圖」所示,「第8A圖」以及「第8B圖」繪示為本發明帳戶金流分析與警示方法的方法流程圖。 Next, the operation method of the present invention will be described below, and please refer to "Figure 8A" and "Figure 8B" at the same time. Method flow diagram of the method.

首先,設置多個銀行伺服器,每一個銀行伺服器儲存有多筆銀行帳戶資訊(步驟101);接著,設置多個電商平台,每一個電商平台儲存有多筆商家帳戶資訊(步驟102);接著,分析伺服器自每一個銀行伺服器接收對應的多筆銀行帳戶資訊(步驟103);接著,分析伺服器自每一個電商平台接收對應的多筆商家帳戶資訊(步驟104);接著,分析伺服器依據銀行帳戶資 訊以及商家帳戶資訊對銀行帳戶的交易頻率、交易金額以及交易對象總數進行分析以分析出銀行帳戶的交易類型、交易身分、異常交易數量以及帳戶用途,並對銀行帳戶資訊以及商家帳戶資的銀行帳戶訊進行交易類型、交易身分、異常交易數量以及帳戶用途與對應信賴評分、異常評分以及用途評分的設定(步驟105);接著,分析伺服器對銀行帳戶的資金進入與資金流出的差值以及銀行帳戶的平均餘額進行分析以分析且設定銀行帳戶的帳戶評分(步驟106);接著,客戶端裝置在進行電子交易過程中提供轉出帳戶以及轉入帳戶至分析伺服器(步驟107);接著,分析伺服器分別依據轉出帳戶以及轉入帳戶查詢出對應的各交易類型、交易頻率、交易金額以及交易對象的信賴評分,以及依據轉出帳戶以及轉入帳戶查詢出對應的銀行帳戶的帳戶評分、異常評分以及用途評分(步驟108);接著,分析伺服器將被查詢出的各信賴評分、帳戶評分、異常評分以及用途評分加總以計算出該次交易的評分總值(步驟109);接著,分析伺服器依據評分總值生成對應的警示資訊(步驟110);最後,分析伺服器傳送警示資訊至客戶端裝置並進行警示(步驟111)。 First, multiple bank servers are set up, and each bank server stores multiple bank account information (step 101); then, multiple e-commerce platforms are set up, and each e-commerce platform stores multiple merchant account information (step 102 ); Then, the analysis server receives corresponding multiple bank account information from each bank server (step 103); then, the analysis server receives corresponding multiple business account information from each e-commerce platform (step 104); Next, the analysis server based on the bank account information Analyze the transaction frequency, transaction amount and total number of transaction objects of the bank account to analyze the transaction type, transaction identity, abnormal transaction quantity and account use of the bank account, and analyze the bank account information and merchant account information. Account information carries out the setting of transaction type, transaction identity, abnormal transaction quantity and account use and corresponding trust score, abnormal score and use score (step 105); then, analyze the server to the difference between the funds entering and the funds flowing out of the bank account and The average balance of the bank account is analyzed to analyze and set the account score of the bank account (step 106); then, the client device provides the transfer-out account and the transfer-in account to the analysis server during the electronic transaction process (step 107); then , the analysis server inquires out the corresponding transaction types, transaction frequency, transaction amount, and trust score of the transaction object according to the transfer-out account and the transfer-in account, and inquires out the corresponding bank account account according to the transfer-out account and the transfer-in account score, abnormal score and use score (step 108); then, the analysis server will add up the inquired trust score, account score, abnormal score and use score to calculate the total score of the transaction (step 109) ; Next, the analysis server generates corresponding warning information according to the total score (step 110); finally, the analysis server sends the warning information to the client device and gives a warning (step 111).

綜上所述,可知本發明與先前技術之間的差異在於分析伺服器依據銀行帳戶資訊以及商家帳戶資訊對銀行帳戶的交易頻率、交易金額以及交易對象總數進行分析以分析出銀行帳戶的交易類型,以及對銀行帳戶的資金進入與資金流出的差值以及銀行帳戶的平均餘額進行分析以分析出銀行帳戶的帳戶評分,分析伺服器分別依據轉出帳戶以及轉入帳戶查詢出對應的銀行帳戶的交易類型,以及依據轉入帳戶查詢出對應的銀行帳戶的帳戶評分,分析伺服器將被查詢出的各信賴評分、帳戶評分、異常評分以及用途評分加總以計算出該次交易的評分總值。 In summary, it can be seen that the difference between the present invention and the prior art is that the analysis server analyzes the transaction frequency, transaction amount and total number of transaction objects of the bank account based on the bank account information and merchant account information to analyze the transaction type of the bank account , and analyze the difference between the capital inflow and capital outflow of the bank account and the average balance of the bank account to analyze the account score of the bank account, and the analysis server can query the corresponding bank account according to the transfer-out account and the transfer-in account The type of transaction, and the account score of the corresponding bank account based on the transfer-in account query, the analysis server will add up the trust score, account score, abnormal score and use score to calculate the total score of the transaction .

藉由此一技術手段可以來解決先前技術所存在銀行帳戶金流不具分析與警示的問題,進而達成提供銀行帳戶金流分析與警示的技術功效。 This technical means can solve the problem of lack of analysis and warning of bank account cash flow existing in the prior art, and then achieve the technical effect of providing bank account cash flow analysis and warning.

雖然本發明所揭露的實施方式如上,惟所述的內容並非用以直接限定本發明的專利保護範圍。任何本發明所屬技術領域中具有通常知識者,在不脫離本發明所揭露的精神和範圍的前提下,可以在實施的形式上及細節上作些許的更動。本發明的專利保護範圍,仍須以所附的申請專利範圍所界定者為準。 Although the embodiments disclosed in the present invention are as above, the content described above is not intended to directly limit the patent protection scope of the present invention. Anyone with ordinary knowledge in the technical field to which the present invention belongs can make some changes in the forms and details of the implementation without departing from the disclosed spirit and scope of the present invention. The scope of patent protection of the present invention must still be defined by the appended patent application scope.

10:銀行伺服器10: Bank server

20:電商平台20: E-commerce platform

30:客戶端裝置30: Client device

40:分析伺服器40: Analysis Server

41:接收模組41: Receiving module

42:交易分析模組42: Transaction analysis module

43:評分模組43: Scoring Module

44:查詢模組44: query module

45:計算模組45: Calculation module

46:生成模組46: Generate modules

47:傳送模組47: Teleportation Module

Claims (6)

一種帳戶金流分析與警示系統,其包含:多個銀行伺服器,每一個銀行伺服器儲存有多筆銀行帳戶資訊;多個電商平台,每一個電商平台儲存有多筆商家帳戶資訊;一客戶端裝置,所述客戶端裝置在進行電子交易過程中提供一轉出帳戶以及一轉入帳戶,所述客戶端裝置在進行電子交易過程中接收一警示資訊並進行警示,所述客戶端裝置在進行電子交易過程中提供一確認轉帳指令,所述客戶端裝置在進行電子交易過程中接收一保險資訊並加以顯示;一分析伺服器,所述分析伺服器更包含:一接收模組,用以自每一個銀行伺服器接收對應的多筆銀行帳戶資訊,自每一個電商平台接收對應的多筆商家帳戶資訊,自所述客戶端裝置接收所述轉出帳戶以及所述轉入帳戶,自所述客戶端裝置接收所述確認轉帳指令;一交易分析模組,依據所述銀行帳戶資訊以及所述商家帳戶資訊對銀行帳戶的交易頻率、交易金額以及交易對象總數進行分析以分析出銀行帳戶的交易類型、交易身分、異常交易數量以及帳戶用途,並對所述銀行帳戶資訊以及所述商家帳戶資訊的銀行帳戶進行交易類型、交易身分、異常交易數量以及帳戶用途與對應信賴評分、異常評分以及用途評分的設定; 一評分模組,用以對銀行帳戶的資金進入與資金流出的差值以及銀行帳戶的平均餘額進行分析以分析且設定銀行帳戶的帳戶評分,所述銀行帳戶的資金進入與資金流出的差值以及所述銀行帳戶的平均餘額分別採用T檢定(t-test檢定),且T檢定中α=0.05;一查詢模組,用以當所述接收模組接收到所述轉出帳戶以及所述轉入帳戶時,分別依據所述轉出帳戶以及所述轉入帳戶查詢出對應的各交易類型、交易頻率、交易金額以及交易對象的信賴評分,以及依據所述轉出帳戶以及所述轉入帳戶查詢出對應的銀行帳戶的帳戶評分、異常評分以及用途評分;一計算模組,將被查詢出的各信賴評分、帳戶評分、異常評分以及用途評分加總以計算出該次交易的一評分總值;一生成模組,用以依據所述評分總值生成對應的所述警示資訊,當所述評分總值小於等於預設值且所述接收模組自所述客戶端裝置接收到所述確認轉帳指令時,生成一保險資訊;及一傳送模組,用以傳送所述警示資訊至所述客戶端裝置,傳送所述保險資訊至所述客戶端裝置。 An account cash flow analysis and warning system, which includes: multiple bank servers, each bank server stores multiple bank account information; multiple e-commerce platforms, each e-commerce platform stores multiple merchant account information; A client device, the client device provides a transfer-out account and a transfer-in account during the electronic transaction process, the client device receives a warning message and warns during the electronic transaction process, the client device The device provides a confirmation transfer instruction during the electronic transaction, and the client device receives and displays insurance information during the electronic transaction; an analysis server, and the analysis server further includes: a receiving module, Used to receive corresponding multiple bank account information from each bank server, receive corresponding multiple merchant account information from each e-commerce platform, and receive the transfer-out account and the transfer-in account from the client device , receiving the confirmation transfer instruction from the client device; a transaction analysis module, analyzing the transaction frequency, transaction amount and total number of transaction objects of the bank account according to the bank account information and the merchant account information to analyze The transaction type, transaction identity, number of abnormal transactions, and account use of the bank account, and the transaction type, transaction identity, number of abnormal transactions, account use and corresponding trust score for the bank account information and the bank account information of the merchant account information, Setting of exception scoring and usage scoring; A scoring module for analyzing the difference between the money in and out of the bank account and the average balance of the bank account to analyze and set the account score of the bank account, the difference between the money in and out of the bank account And the average balance of the bank account adopts T test (t-test test) respectively, and α=0.05 in the T test; a query module, for when the receiving module receives the transfer account and the When transferring into an account, query the corresponding transaction types, transaction frequency, transaction amount and trust score of the transaction object according to the transfer-out account and the transfer-in account respectively, and according to the transfer-out account and the transfer-in account Query the account score, abnormal score, and use score of the corresponding bank account; a calculation module that sums the queried trust score, account score, abnormal score, and use score to calculate a score for the transaction Total value; a generation module, used to generate the corresponding warning information according to the total score value, when the total score value is less than or equal to a preset value and the receiving module receives the total value from the client device When the transfer instruction is confirmed, an insurance information is generated; and a sending module is used to send the warning information to the client device, and send the insurance information to the client device. 如請求項1所述的帳戶金流分析與警示系統,其中所述計算模組所計算出的所述評分總值小於等於預設值且所述接收模組自所述客戶端裝置接收到一確認轉帳指令時,所述生成模組生成一監控帳戶指令以及一交易暫時凍 結指令,以由所述傳送模組傳送所述監控帳戶指令以及所述交易暫時凍結指令至對應的銀行伺服器以對所述轉出帳戶以及所述轉入帳戶進行監管並凍結交易。 The account cash flow analysis and warning system as described in claim 1, wherein the total value of the score calculated by the calculation module is less than or equal to a preset value and the receiving module receives a value from the client device When confirming the transfer instruction, the generation module generates a monitoring account instruction and a transaction temporary freeze A closing instruction, so that the transmission module transmits the monitoring account instruction and the transaction temporary freezing instruction to the corresponding bank server to supervise the transfer-out account and the transfer-in account and freeze the transaction. 如請求項1所述的帳戶金流分析與警示系統,其中所述銀行帳戶的平均餘額為季平均餘額或是年平均餘額。 The account cash flow analysis and warning system as described in Claim 1, wherein the average balance of the bank account is a quarterly average balance or an annual average balance. 一種帳戶金流分析與警示方法,其包含下列步驟:設置多個銀行伺服器,每一個銀行伺服器儲存有多筆銀行帳戶資訊;設置多個電商平台,每一個電商平台儲存有多筆商家帳戶資訊;一分析伺服器自每一個銀行伺服器接收對應的多筆銀行帳戶資訊;所述分析伺服器自每一個電商平台接收對應的多筆商家帳戶資訊;所述分析伺服器依據所述銀行帳戶資訊以及所述商家帳戶資訊對銀行帳戶的交易頻率、交易金額以及交易對象總數進行分析以分析出銀行帳戶的交易類型、交易身分、異常交易數量以及帳戶用途,並對所述銀行帳戶資訊以及所述商家帳戶資訊的銀行帳戶進行交易類型、交易身分、異常交易數量以及帳戶用途與對應信賴評分、異常評分以及用途評分的設定;所述分析伺服器對銀行帳戶的資金進入與資金流出的差值以及銀行帳戶的平均餘額進行分析以分析且設定銀行帳戶的帳 戶評分,所述銀行帳戶的資金進入與資金流出的差值以及所述銀行帳戶的平均餘額分別採用T檢定(t-test檢定),且T檢定中α=0.05;一客戶端裝置在進行電子交易過程中提供一轉出帳戶以及一轉入帳戶至所述分析伺服器;所述分析伺服器分別依據所述轉出帳戶以及所述轉入帳戶查詢出對應的各交易類型、交易頻率、交易金額以及交易對象的信賴評分,以及依據所述轉出帳戶以及所述轉入帳戶查詢出對應的銀行帳戶的帳戶評分、異常評分以及用途評分;所述分析伺服器將被查詢出的各信賴評分、帳戶評分、異常評分以及用途評分加總以計算出該次交易的一評分總值;所述分析伺服器依據所述評分總值生成對應的一警示資訊;及所述分析伺服器傳送所述警示資訊至所述客戶端裝置並進行警示;所述客戶端裝置在進行電子交易過程中提供一確認轉帳指令至所述分析伺服器;當所述分析伺服器自所述客戶端裝置接收到所述確認轉帳指令且該次交易的所述評分總值小於等於預設值時,所述分析伺服器生成一保險資訊;及所述分析伺服器傳送所述保險資訊至所述客戶端裝置並加以顯示。 An account cash flow analysis and warning method, which includes the following steps: setting up multiple bank servers, each bank server storing multiple bank account information; setting up multiple e-commerce platforms, each e-commerce platform storing multiple Merchant account information; an analysis server receives corresponding multiple bank account information from each bank server; the analysis server receives corresponding multiple business account information from each e-commerce platform; the analysis server according to the Analyze the transaction frequency, transaction amount, and total number of transaction objects of the bank account through the above bank account information and the above merchant account information to analyze the transaction type, transaction identity, number of abnormal transactions, and account usage of the bank account, and analyze the bank account Information and bank accounts of the merchant account information for transaction types, transaction identities, number of abnormal transactions, account usage and corresponding trust scores, exception scores, and usage scores; The difference between the bank account and the average balance of the bank account is analyzed to analyze and set the account of the bank account Account score, the difference between the funds in and out of the bank account and the average balance of the bank account respectively adopt T test (t-test test), and α=0.05 in the T test; a client device is performing electronic Provide a transfer-out account and a transfer-in account to the analysis server during the transaction process; the analysis server inquires out the corresponding transaction types, transaction frequency, transaction The amount and the trust score of the transaction object, and the account score, abnormal score and use score of the corresponding bank account inquired based on the transfer-out account and the transfer-in account; the analysis server will be queried for each trust score , account score, abnormality score and use score to calculate a total score value of the transaction; the analysis server generates a corresponding warning message according to the total score value; and the analysis server sends the Alerting information to the client device and alerting; the client device provides a confirmation transfer instruction to the analysis server during the electronic transaction process; when the analysis server receives the When the transfer instruction is confirmed and the total score value of the transaction is less than or equal to a preset value, the analysis server generates an insurance information; and the analysis server sends the insurance information to the client device and adds show. 如請求項4所述的帳戶金流分析與警示方法,其中所述分析伺服器將被查詢出的各信賴評分、帳戶評分、異常評分以及用途評分加總以計算出該次交易的所述評分總值小於等於預設值且所述分析伺服器接收到一確認轉帳指令時,所述分析伺服器生成一監控帳戶指令以及一交易暫時凍結指令並傳送所述監控帳戶指令以及所述交易暫時凍結指令至對應的銀行伺服器以對所述轉出帳戶以及所述轉入帳戶進行監管並凍結交易。 The account cash flow analysis and warning method as described in claim item 4, wherein the analysis server sums the queried trust scores, account scores, abnormal scores and use scores to calculate the score of the transaction When the total value is less than or equal to a preset value and the analysis server receives a confirmation transfer instruction, the analysis server generates a monitoring account instruction and a transaction temporary freezing instruction and transmits the monitoring account instruction and the transaction temporary freezing instruction An instruction is sent to the corresponding bank server to supervise the transfer-out account and the transfer-in account and freeze the transaction. 如請求項4所述的帳戶金流分析與警示方法,其中所述分析伺服器對銀行帳戶的資金進入與資金流出的差值以及銀行帳戶的平均餘額進行分析以分析且設定銀行帳戶的帳戶評分的步驟中所述銀行帳戶的平均餘額為季平均餘額或是年平均餘額。 The account cash flow analysis and warning method as described in claim 4, wherein the analysis server analyzes the difference between the fund inflow and outflow of the bank account and the average balance of the bank account to analyze and set the account score of the bank account The average balance of the bank account mentioned in the step is a quarterly average balance or an annual average balance.
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