JP2015212975A - Data processing device and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To detect an operation that is suspected to fraudulently withdraw cash from a drawer, as an abnormal drawer operation.SOLUTION: A history information acquiring section 121 acquires history of an operation (each function) by an operator. A reference information acquiring section 122 acquires a reference of a standard operation on an operation specified from the history out of the reference (drawer opening permission time and a drawer open permission frequency) of the standard operation preset for each operation (for each function) of opening a drawer. An abnormality detecting section 123 obtains difference from the reference of the standard operation acquired from the reference information acquiring section 122 for each operation specified by the history and, when there is predetermined difference or more, detects the operation as an abnormal drawer operation.

Description

  The present invention relates to a sales data processing apparatus and a program.

  Conventionally, in a retail store such as a department store or a supermarket, a salesperson performs a series of operations such as calculating the price of a product while meeting a customer and recording the calculation result as the sales of the store. In recent years, sales data processing apparatuses such as ECR (Electronic Cash Resistor) and POS (Point of Sales) terminals have become widespread in order to digitize such work. That is, the salesperson serves as an operator while operating the sales data processing apparatus.

  The sales data processing apparatus is provided with a drawer called a drawer for storing sales. The drawer is normally closed and can be opened under the control of the sales data processing apparatus only when a predetermined operation is performed by the operator. Note that the drawer once opened is closed by manual operation of the operator.

The drawer is generally opened and closed with a predetermined operation by an operator. Specifically, the drawer is opened and closed in accordance with the operation of storing the price received from the customer in the drawer and the operation of drawing out the change to be delivered to the customer from the drawer. Therefore, since the opening and closing of the drawer accompanying such a predetermined operation is a short time, if the drawer has been opened for a long time, there is a suspicion that cash has been illegally withdrawn from the drawer.
Therefore, Patent Documents 1 and 2 disclose a technique for issuing a warning when the drawer opening time exceeds a reference value.

Japanese Patent Laid-Open No. 02-54397 Japanese Patent Laid-Open No. 06-4768

  However, even if attention is paid only to the opening time of the drawer as in the techniques of Patent Document 1 and Patent Document 2, various operations of the sales data processing apparatus that is suspected of illegally withdrawing cash from the drawer can be performed abnormally. It is difficult to detect appropriately as an operation.

  An object of the present invention is to detect an operation with a suspicion that cash has been illegally withdrawn from a drawer as an abnormal drawer operation.

The sales data processing apparatus of the present invention
A sales data processing device that opens a drawer in response to an operation by an operator,
A history acquisition means for acquiring a history of operation times of each operation for each of a plurality of types of operations for releasing a drawer by an operator;
Reference information acquisition means for acquiring the standard operation time corresponding to the plurality of types of operations specified from the history among the standard operation times preset for each of the plurality of types of operations for opening the drawer;
For each of the plurality of types of operations specified from the history, each operation specified from the history is obtained by obtaining a difference between the operation time of each operation and the standard operation time acquired by the reference information acquisition unit. Among these, when there is an operation that requires a certain time longer than the standard operation time, the abnormality detection means for detecting as an abnormal drawer operation,
Is provided.

  According to the present invention, it is possible to appropriately detect an operation with a suspicion that cash has been illegally withdrawn from a drawer as an abnormal drawer operation.

It is a perspective view which shows the external appearance structure of the sales data processing apparatus which concerns on one Embodiment of this invention. It is a figure which shows an example of a function in a table form. It is a block diagram which shows the hardware constitutions of the sales data processing apparatus of FIG. It is a functional block diagram which shows the functional structure for performing a log | history production | generation process and a drawer abnormality detection process among the functional structures of the sales data processing apparatus of FIG. It is a figure which shows the structural example of an operation history file. It is a figure which shows the structural example of a drawer opening / closing log | history file. It is a figure which shows the structural example of an operation history file. It is a figure which shows the structural example of a drawer opening / closing management table. It is a figure which shows the structural example of an operator master file. It is a figure which shows the structural example of a function master file. It is a figure which shows an example of a drawer open abnormality report. It is a flowchart explaining an example of the flow of the process which produces | generates an operation history file among the log | history production | generation processes which the sales data processing apparatus of FIG.3 and FIG.4 performs. It is a flowchart explaining an example of the flow of a drawer abnormality detection process. It is a flowchart explaining an example of the detailed flow of the intermediate merge file creation process of step S22 among the drawer abnormality detection processes of FIG. It is a flowchart explaining an example of the detailed flow of the drawer open abnormal time detection process of step S23 among the drawer abnormality detection processes of FIG. It is a flowchart explaining an example of the detailed flow of the drawer open abnormal time detection process of step S23 among the drawer abnormality detection processes of FIG. It is a flowchart explaining the detailed flow of the permission time search process of step S65 of FIG. It is a flowchart explaining an example of the detailed flow of the drawer open abnormality frequency detection process of step S24 among the drawer abnormality detection processes of FIG. It is a flowchart explaining the detailed flow of the frequency | count search process of permission of step S128 of FIG.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

  FIG. 1 is a perspective view showing an external configuration of a sales data processing apparatus according to an embodiment of the present invention.

  As shown in FIG. 1, the sales data processing apparatus 10 includes a numeric key 21, a function key 22, a display unit 23, a printing unit 24, and a drawer 25.

  Although not shown, the numeric key 21 is composed of a plurality of keys on which various numbers are printed. Each of the plurality of keys is assigned a function of inputting a printed number to the main body of the sales data processing apparatus 10. That is, the operator can input the desired number to the sales data processing device 10 by pressing the key on which the desired number is printed out of the number keys 21.

Although not shown, the function key 22 is composed of a plurality of keys on which various function names are printed. Each of the plurality of keys is assigned a function for notifying the main body of the sales data processing apparatus 10 of the printed name function.
Here, the function means an operation performed by the operator operating the sales data processing apparatus 10. Executable functions are determined for each operator, and the operator depresses the function key 22 on which the name of the function name currently performed or most recently performed is printed. The sales data processing apparatus 10 recognizes the function printed on the pressed key as a function that the operator performs or has performed most recently.
Details of the function will be described later with reference to FIG.

The display unit 23 is composed of a liquid crystal display or the like, and displays various information necessary for the operator's work as an image.
The printing unit 24 prints various information necessary for the operator's work, a receipt handed over to the customer, and the like on a paper medium for output.
The drawer 25 is a drawer for storing sales money, and is normally closed, but is opened by the control of the sales data processing device 10 when a predetermined operation is performed by the operator. Note that the drawer 25 once opened is closed by a manual operation of the operator.

  Here, an outline of the operation of the sales data processing apparatus 10 by the operator (hereinafter referred to as “sales data processing operation” as appropriate) will be described.

First, in order to start an operation for processing sales data, the operator performs a login operation by pressing the numeric key 21 or the like and inputting an operator number.
The sales data processing apparatus 10 checks whether or not the input operator number is registered. If the registered operator number is registered, the sales data processing apparatus 10 executes a login process, and if not registered, prohibits the login process. The sales data processing apparatus 10 stores the logged-in operator number in an internal memory (such as a storage unit 40 in FIG. 3 described later).

  When the login process is executed, the operator can use one or more preset functions. That is, the operator can perform various key operations on the sales data processing apparatus 10 in accordance with these functions.

FIG. 2 is a diagram illustrating an example of a function in a table format.
In the table of FIG. 2, the predetermined row corresponds to a predetermined one function. That is, in a predetermined row, an item in the first column describes a code (hereinafter referred to as “function code”) that uniquely indicates the function associated with the row. In the item in the second column of the row, the name of the function associated with the row (hereinafter referred to as “function name”) is described. In the item of the third column of the row, the specific content of the function associated with the row (hereinafter referred to as “function content”) is described.
For example, it can be seen that the function in the first line has a function code of “0001” and a function name of “preparation for change”. Further, the function content regarding the “change preparation” is “used when changing the sales data processing apparatus 10 before opening the store. The total amount of the prepared change is input with the number keys 21 and the change of the function key 22 is used. When the preparation key is pressed, the drawer 25 is automatically opened, so that the change is put in the drawer 25 and then the drawer 25 is closed by hand.
The change preparation key is a key on which the function name “change preparation” is printed out of the function keys 22. Hereinafter, the other function keys 22 will be expressed with the printed function name at the head.

  Here, as a specific example of various key operations involving functions, when a customer purchases a first product with a price of 500 yen and a second product with a price of 250 yen, the payment amount of the customer is the sales amount of the store. A series of key operations that are performed before being registered as will be described.

  In this case, the operator depresses the number key 21 and the like, and inputs a number of 500 as the price for the first product. Similarly, the operator depresses the number key 21 and the like, and inputs 250 numbers as the price of the second product. Then, the sales data processing apparatus 10 stores the price of the first product 500 yen and the price of the second product 250 yen in the internal memory.

  Although not shown, the sales data processing apparatus 10 may be configured to assign each product to each key and acquire the price of each product from the inside or the outside. For the sales data processing apparatus 10 having such a configuration, the operator depresses the key to which the first product is assigned instead of the numeric key 21. Similarly, the operator depresses the key to which the second product is assigned. Then, the sales data processing apparatus 10 acquires the price of 500 yen for the first product and the price of 250 yen for the second product, and stores them in the internal memory.

At this stage, the operator shall discount 50 yen from the total amount of the first product and the second product. In this case, the function in the second row in FIG. 2, that is, the “discount” function is executed by the operator.
Specifically, according to the function contents of “discount” on the second line, the operator presses the numeric key 21 or the like while inputting the product to be sold (while inputting the price of each product). Enter a number of 50 as the discount amount. Then, the sales data processing apparatus 10 stores the discount price (-50 yen in this example) in the internal memory together with the price of the product (500 yen for the first product and 250 yen for the second product in this example). To do.
Then, the operator depresses the discount key of the function key 22. As a result, the sales data processing apparatus 10 recognizes that the “discount” function has been executed, subtracts the discount amount from the total amount input so far, and causes the display unit 23 to display the subtraction result. Specifically, in this example, the sales data processing apparatus 10 calculates 500 yen (the price of the first product) +250 yen (the price of the second product) −50 yen (the discount amount), and the calculation result, that is, 700 An image showing a circle (a numerical image of 700) is displayed on the display unit 23.

A customer who wants to purchase the first product and the second product can view the payment amount from the display on the display unit 23 of the sales data processing apparatus 10. For example, it is assumed that the above-mentioned 700 yen is displayed on the display unit 23 as the payment amount, and the customer delivers 1000 yen to the operator in cash. That is, it is assumed that the operator has received 1000 yen as a deposit from the customer.
In this case, the function of the third line in FIG. 2, that is, the “cash” function is executed by the operator.
Specifically, according to the function content for “cash” on the third line, the operator depresses the number key 21 and the like to input a number of 1000 as a deposit amount from the customer. Press the cash key.
Then, the sales data processing apparatus 10 recognizes that the “cash” function has been executed, subtracts the payment amount from the deposit amount, and causes the display unit 23 to display the subtraction result as a change amount. Specifically, in this example, the sales data processing apparatus 10 calculates 700 yen (payment amount = the price of the first product + the price of the second product−the discount amount) from 1000 yen (the deposit amount). As a result, that is, an image indicating that the amount of change is 300 yen (a numerical image of 300) is displayed on the display unit 23.
Then, the sales data processing apparatus 10 automatically opens the drawer 25. The operator pays a deposit of 1000 yen to the drawer 25, takes out a change of 300 yen from the drawer 25, and gives it to the customer. When the operator hands the change to the customer, the operator completes the “cash” function and closes the drawer 25 by hand.

  During this time, the sales data processing apparatus 10 registers (stores) 700 yen as the sales proceeds of the store in the internal memory. Further, the sales data processing apparatus 10 stores the above-described sales data processing operation history (hereinafter referred to as “operation history”). The storage location of the operation history is not particularly limited, and may be an external device (such as a server (not shown)) of the sales data processing device 10, but in this embodiment, an internal memory (a storage unit 40 in FIG. 3 described later). Etc.) is adopted.

  Here, functions can be broadly classified into functions that do not involve the opening of the drawer 25 such as “discount” described above, and functions that involve the opening of the drawer 25 such as “cash” described above. Therefore, in the present embodiment, in order to clearly distinguish these two types of functions, “0” is set for a function that does not involve the opening of the drawer 25, and for a function that involves the opening of the drawer 25. A flag in which “1” is set is employed. Hereinafter, such a flag is referred to as a “drawer automatic open flag”.

  A function whose drawer automatic open flag is “1” is executed by a combination of routine operations for the operator. For example, when the opening / closing of the drawer 25 is observed, a routine operation of pressing the function key 22 is performed to open the drawer 25, and thereafter, a routine operation of manually tightening the opened drawer 25 is performed. It can be said that such a fixed operation or a combination of a plurality of fixed operations in the predetermined function is a standard operation of the predetermined function. Therefore, hereinafter, one routine operation or a combination of a plurality of routine operations in a predetermined function is referred to as “standard operation of the predetermined function”.

As long as the standard operation of a predetermined function is normally performed, the opening / closing time of the drawer 25 associated with the predetermined function should be shorter than a certain time even if there is a certain individual difference between operators. In other words, in spite of the standard operation of the predetermined function, if the opening / closing time of the drawer 25 is longer than a certain time, an operation that is suspected of illegally withdrawing cash from the drawer 25, that is, an abnormal drawer operation is performed. It will be broken.
Further, as long as the standard operation of the predetermined function is normally performed, the opening / closing frequency of the drawer 25 associated with the predetermined function should be less than the predetermined number even if there is a certain individual difference of the operator. . In other words, in spite of the standard operation of a predetermined function, if the number of times the drawer 25 is opened and closed is equal to or greater than a certain number of times, an operation that is suspected of illegally withdrawing cash from the drawer 25, that is, an abnormal drawer operation is performed. It will be broken.

In this way, in order to determine whether or not an abnormal drawer operation has been performed, such as a certain time for the opening / closing time of the drawer 25 or a certain number of times for the opening / closing of the drawer 25 with respect to a standard operation of a predetermined function. It is possible to set a standard for the above.
The predetermined function can be executed when the predetermined function key is pressed. Accordingly, it can be understood that the operation of pressing a predetermined function key with the drawer automatic open flag set to “1” is an operation of opening the drawer 25.
When grasped in this way, it is possible to set in advance a standard operation standard of a predetermined function executed by the operation for each operation of opening the drawer 25.

In this case, the sales data processing apparatus 10 can execute the following series of processes.
That is, the sales data processing apparatus 10 acquires a history of each operation by the operator.
Further, the sales data processing apparatus 10 acquires a standard operation standard for an operation specified from the history among standard operation standards set in advance for each operation of opening the drawer 25.
The sales data processing apparatus 10 obtains a difference from the standard of the acquired standard operation for each operation specified from the history, and detects an abnormal drawer operation when there is a difference greater than or equal to a predetermined value.
Such a series of processes is hereinafter referred to as “drawer abnormality detection process”.

Here, when there is a possibility that a plurality of operators may operate the sales data processing apparatus 10, the standard operation standard may be set uniformly for all operators. As a result, erroneous detection occurs, or conversely, accurate detection becomes difficult.
Therefore, in this embodiment, the standard operation standard is individually set for each operator. Thereby, erroneous detection can be reduced and detection with high accuracy can be realized.

  FIG. 3 is a block diagram illustrating a hardware configuration of the sales data processing apparatus 10 capable of executing the drawer abnormality detection process.

  The sales data processing apparatus 10 includes a CPU (Central Processing Unit) 31, a ROM (Read Only Memory) 32, a RAM (Random Access Memory) 33, a bus 34, an input / output interface 35, an input unit 36, and an output. Unit 37, drawer control unit 38, sensor unit 39, storage unit 40, communication unit 41, and drive 42.

The CPU 31 executes various processes according to a program recorded in the ROM 32 or a program loaded from the storage unit 40 to the RAM 33.
The RAM 33 appropriately stores data necessary for the CPU 31 to execute various processes.

  The CPU 31, ROM 32, and RAM 33 are connected to each other via a bus 34. An input / output interface 35 is also connected to the bus 34. An input unit 36, an output unit 37, a drawer control unit 38, a sensor unit 39, a storage unit 40, a communication unit 41, and a drive 42 are connected to the input / output interface 35.

The input unit 36 includes various keys including the numeric keys 21 and the function keys 22 described above, various switches, and the like, and inputs various information according to the pressing operation of the operator.
The output unit 37 includes the display unit 23 and the printing unit 24 described above, and outputs various types of information.
The drawer control unit 38 executes control for opening the drawer 25 in accordance with an instruction from the CPU 31. Note that the drawer 25 once opened is closed by an operator's manual operation.
The sensor unit 39 is configured by an infrared sensor or the like, and detects the open / close state of the drawer 25.
The storage unit 40 is configured with a hard disk, a DRAM (Dynamic Random Access Memory), or the like, and stores various data.
The communication unit 41 controls communication performed with other devices via a network including the Internet.

  A removable medium 71 made of a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is appropriately attached to the drive 42. The program read from the removable medium 71 by the drive 42 is installed in the storage unit 40 as necessary.

FIG. 4 is a functional block diagram showing a functional configuration for executing the history generation processing and the above-described drawer abnormality detection processing, among the functional configurations of the sales data processing apparatus 10 including the respective components.
The history generation processing refers to a series of processing until generation and recording of history information indicating a history of cash register operation by the operator (including history of opening and closing of the drawer 26).

In the CPU 31, a main control unit 101, a history information generation unit 102, a drawer abnormality detection unit 103, and an abnormality information output control unit 104 function.
As one area of the storage unit 40, a reference information storage unit 131, an operation history information storage unit 132, an open / close history information storage unit 133, and an integrated history information storage unit 134 are provided.

  The main control unit 101 controls the overall operation of the sales data processing apparatus 10 when executing the history generation process and the above-described drawer abnormality detection process.

  The history information generation unit 102 includes an operation history information generation unit 111 and an opening / closing history information generation unit 112 to execute a history generation process.

  The operation history information generation unit 111 generates operation history information indicating an operation history related to a function corresponding to the pressed key every time an arbitrary key of the function keys 22 is pressed by the operator. It stores in the operation history file shown in FIG.

FIG. 5 is a diagram illustrating a structure example of the operation history file.
In FIG. 5, the predetermined line corresponds to the operation history information generated by the operation history information generation unit 111 when any key of the function keys 22 is pressed.
The operation history information is configured as a collection of data of “date”, “time”, “function code”, “function name”, “drawer automatic open flag”, “operator”, and “money amount”.
“Date” and “Time” are data indicating the date and time when any of the function keys 22 is pressed. “Function code” and “function name” are data indicating the function code and function name for the function associated with the pressed key, and correspond to the table in FIG. 2 described above. . “Drawer automatic open flag” is set to “1” when the type of the function associated with the pressed key is a type that involves opening the drawer 25, and the type that does not involve opening the drawer 25. In this case, the flag is set to “0”. “Operator” is data indicating the operator who pressed any key of the function keys 22. “Amount” is data indicating the amount input with the numeric key 21 or the like during or before or after the function associated with the pressed key.

  Returning to FIG. 4, the opening / closing history information generating unit 112 generates drawer opening / closing history information indicating the history when the drawer 25 is opened and closed based on the detection result of the sensor unit 39. Stored in the drawer open / close history file shown in

FIG. 6 is a diagram illustrating a structure example of a drawer opening / closing history file.
In FIG. 6, a predetermined line corresponds to the drawer opening / closing history information generated by the opening / closing history information generating unit 112 when the drawer 25 is opened or closed.
The drawer opening / closing history information is configured as a collection of “date”, “time”, and “opening / closing” data.
“Date” and “Time” are data indicating the date and time when the sensor unit 39 detects that the drawer 25 has been opened or closed. “Open / close” is data indicating whether the drawer 25 is opened or closed. Specifically, when the drawer 25 is opened, “open” is used as “open / close” data, and when the drawer 25 is closed, “close” is used as “open / close” data.

Returning to FIG. 4, the drawer abnormality detection unit 103 includes a history information acquisition unit 121, a reference information acquisition unit 122, and an abnormality detection unit 123 in order to perform a drawer abnormality detection process.
That is, when the main control unit 101 recognizes that the logged-in operator is a person who has authority to execute the drawer open abnormality detection process, such as a store manager, the main control unit 101 executes the drawer open abnormality detection process. The history information acquisition unit 121, the reference information acquisition unit 122, and the abnormality detection unit 123 are caused to function.

The history information acquisition unit 121 includes, among the operation history information in the operation history file (see FIG. 5) stored in the operation history information storage unit 132, operation history information for a function that involves opening the drawer 25, that is, “drawer automatic”. Operation history information whose “open flag” is “1” is acquired.
The history information acquisition unit 121 acquires all the drawer opening / closing history information in the drawer opening / closing history file (see FIG. 6) stored in the opening / closing history information storage unit 133.
Then, the history information acquisition unit 121 integrates each acquired operation history information and each drawer opening / closing history information side by side in time series, and includes them in a newly generated file. The newly generated file is hereinafter referred to as “intermediate merge file”.
The history information acquisition unit 121 also counts the number of function occurrences from the operation history file stored in the operation history information storage unit 132 for each operator and for each function, and includes the newly generated file. A file newly generated in this way is hereinafter referred to as a “count count file”.
In the present embodiment, the intermediate merge file and the count total file are stored in the integrated history information storage unit 134. Therefore, hereinafter, the intermediate merge file and the count total file are collectively referred to as an integrated history file.

  FIG. 7 is a diagram illustrating a structure example of the integrated history file. Specifically, FIG. 7A is a diagram illustrating a structure example of an intermediate merge file. FIG. 7B is a diagram showing an example of the structure of the number counting file.

In FIG. 7A, a predetermined line of the intermediate merge file corresponds to each operation history information or each drawer opening / closing history information acquired by the history information acquisition unit 121.
Therefore, the data of each item in a predetermined line corresponds to the data of the corresponding item in the operation history information (see FIG. 5) or the drawer opening / closing history information (see FIG. 6), and these data are described above. Therefore, the description is omitted here.

In FIG. 7B, a predetermined line of the count total file corresponds to a predetermined function of a predetermined operator, and data of “date”, “operator”, “function name”, and “number of occurrences” It is configured as a collection of
The “date” in the predetermined line is data indicating the date when the operation history file to be counted is generated. The “operator” and “function name” in the row are data indicating the name and function name of the operator associated with the row. “Number of occurrences” is data indicating the number of occurrences of the function in a combination of an operator and a function associated with the row.

Returning to FIG. 4, the reference information acquisition unit 122 selects the standard operation for the operation (function) specified from the integrated history file (FIG. 7) among the standard operation criteria set in advance for each operation of opening the drawer 25. Get standards for
In this embodiment, a standard operation time and a standard number of operations set for each operator and each function are adopted as the standard operation standard. More specifically, in the present embodiment, as the standard operation time, a time permitted as a time for continuing to open the drawer 25 (hereinafter referred to as “drawer open permission time”) is adopted. In the present embodiment, the standard number of operations is the number of times permitted as the number of times the drawer 25 is repeatedly opened and closed (hereinafter referred to as “the number of times the drawer is permitted to open”).
Such standard operation criteria, that is, in this embodiment, the drawer open permission time and the drawer open permission count for each operator and each function are stored in a predetermined table and stored in the reference information storage unit 131 in advance. Yes. Hereinafter, such a predetermined table is referred to as a “drawer opening / closing management table”.

FIG. 8 is a diagram illustrating a structure example of the drawer opening / closing management table.
In FIG. 8, a predetermined line corresponds to a predetermined function of a predetermined operator, and a collection of data of “operator”, “function name”, “drawer open permission time”, and “drawer open permission count” Configured as
“Operator” and “function name” in a predetermined line are data indicating the name and function name of the operator associated with the line. “Drawer open permission time” is data indicating a drawer open permission time for a combination of an operator and a function associated with the row. “Drawer open permission count” is data indicating the drawer open permission count for the combination of the operator and the function associated with the row.

For the combination of “Ito” and “cash” in the top row of FIG. 8 and the combination of “Yoshida” and “cash” in the tenth row from the top, the drawer open permission count is the maximum value. 9999 "is set. Thus, setting the maximum value as the number of drawer open permits means that there is no limit to the number of times the drawer 25 can be opened and closed repeatedly (it is not determined as an abnormal drawer operation no matter how many times the drawer is opened or closed). . Similarly, although not shown, the fact that the maximum value is set as the drawer open permission time means that there is no limit on the duration of opening the drawer 25 (it is not determined as an abnormal drawer operation even if it is left open for many hours). Means).
Conversely, if 0 is set as the drawer open permission time or drawer open permission count for a given line, the operator corresponding to that line is not permitted to execute the function corresponding to that line. Means.

In the present embodiment, the operator inputs an operator code set for the operator as a login operation.
A file for managing the operator code for each operator is also stored in the reference information storage unit 131 in advance. Hereinafter, such a file is referred to as an “operator master file”.

FIG. 9 is a diagram illustrating a structure example of an operator master file.
In FIG. 9, a predetermined line corresponds to a predetermined operator, and is configured as a collection of “operator code” and “operator” data.
Each of the “operator code” and “operator” in a predetermined line is data indicating the operator code and the name of the operator associated with the line.

  In the present embodiment, a file including information on functions that can be executed using the sales data processing apparatus 10 is also stored in the reference information storage unit 131 in advance. Hereinafter, such a file is referred to as a “function master file”.

FIG. 10 is a diagram illustrating a structure example of a function master file.
In FIG. 10, a predetermined line corresponds to a predetermined function, and is configured as a collection of data such as “function code”, “function name”, “drawer automatic open flag”, and the like.
Each of “function code” and “function name” in a predetermined line is data indicating each of the function code and the function name for the function associated with the line. The “drawer automatic open flag” is set to “1” when the function associated with the row is associated with the opening of the drawer 25 and is set to “0” when the drawer 25 is not associated with the opening. Flag.

Returning to FIG. 4, the abnormality detection unit 123 obtains the standard operation standard (drawer opening permission of the drawer opening / closing management table in FIG. 8) for each combination of the operator and the function specified from the operation history file (see FIG. 7). Time and the number of drawer open permits) are obtained, and if there is a difference greater than a predetermined value, it is detected as an abnormal drawer operation.
Details of detection of an abnormal drawer operation by the abnormality detection unit 123 will be described later with reference to FIGS. 15 to 19.

The abnormality information output control unit 104 generates information for notifying an abnormal drawer operation detected by the abnormality detection unit 123 (hereinafter referred to as “abnormal information”), and controls the output unit 37 to output the information. .
For example, the abnormality information output control unit 104 controls the printing unit 24 of the output unit 37 to print abnormality information as shown in FIG. 11 on a paper medium. The abnormality information printed on the paper medium is hereinafter referred to as a “drawer open abnormality report”.

  FIG. 11 is a diagram illustrating an example of a drawer open abnormality report. Specifically, FIG. 11A is a diagram illustrating an example of a drawer open time abnormality report. FIG. 11B is a diagram showing an example of a drawer open frequency abnormality report.

  As shown in FIG. 11 (a), in the drawer open time abnormality report, various information when an abnormality in the opening time of the drawer 25 is detected as an indication of an abnormal drawer operation is printed. Specifically, the date and time when the abnormality was detected, the operator who caused the abnormality, the name of the function that was the target of the abnormality, the amount entered at the time of the abnormality, and the drawer 25 at the time of the abnormality The opening time (abnormal time) is printed.

  As shown in FIG. 11B, in the drawer open frequency abnormality report, various information when an abnormality in the opening / closing frequency of the drawer 25 is detected as an indication of an abnormal drawer operation is printed. Specifically, the date and time when the abnormality was detected, the operator who caused the abnormality, the name of the function subject to the abnormality, and the number of times the drawer 25 was opened and closed (the number of abnormalities) Printed.

  Next, various processes of the sales data processing apparatus 10 having the functional configuration of FIG. 4 will be described with reference to the flowcharts of FIGS.

FIG. 12 is a flowchart for explaining an example of a flow of processing for generating an operation history file (hereinafter referred to as “operation history file generation processing”) among the history generation processing executed by the sales data processing apparatus 10.
When the operation history file generation process is executed, each functional block in FIG. 4 functions in the CPU 31 and the following process is executed. In other words, the operation subject of the following steps corresponds to the CPU 31 in hardware. However, in order to facilitate understanding of the present invention, the processing of the following steps will be described on the assumption that each functional block functioning in the CPU 31 is an operation subject.

In step S1, the main control unit 101 determines whether or not a login operation by the operator has been performed.
When the login operation by the operator is not performed, it is determined as NO in Step S1, and the process returns to Step S1. That is, the determination process of step S1 is repeatedly executed until the login operation by the operator is performed.
Thereafter, when the operator performs a login operation, it is determined as YES in Step S1, and the process proceeds to Step S2.
In step S2, the main control unit 101 executes a login process.
For example, when the operator code input by the login operation is “0001”, the main control unit 101 recognizes that the operator is registered as “Arimori” (see FIG. 9), and Allow login.

In step S3, the operation history information generation unit 111 determines whether the function key 22 has been pressed.
If the function key 22 has not been pressed, it is determined as NO in Step S3, and the process proceeds to Step S6.
In step S <b> 6, the main control unit 101 determines whether or not the sales data processing apparatus 10 is powered off.
If the power is on, it is determined as NO in step S6, the process returns to step S3, and the subsequent processes are repeated. That is, when the power is on and the function key 22 is not pressed, the loop process of step S3 (NO) and step S6 (NO) is repeated, and the operation history file generation process is on standby. It becomes a state.
If the power is turned off during this time, it is determined as YES in step S6, and the operation history file generation process is ended.
On the other hand, if the function key 22 is pressed while the power is kept on during this time, it is determined as YES in Step S3, and the process proceeds to Step S4.

In step S4, the operation history information generation unit 111 acquires the operation history information and stores it in the operation history information file (see FIG. 5).
Specifically, the operation history information generation unit 111 includes the date and time when the operator depresses the function key 22, the function code and name of the function corresponding to the depressed key among the function keys 22, the drawer automatic open flag, The operator's name and the input amount are acquired as operation history information and stored in the operation history information file.

In step S <b> 5, the main control unit 101 executes function processing corresponding to the pressing operation of the function keys 22. The main control unit 101 opens the drawer 25 via the drawer control unit 38 when the function is of a type that involves opening the drawer 25, that is, when the drawer automatic open flag is “1”.
The drawer 25 once opened is closed by the manual operation of the operator.
Thereafter, the process returns to step S3, and the subsequent processes are repeated.
That is, every time the operator presses the function key 22, the loop processing of step S3 (YES), step S4, and S5 is repeatedly executed, and the operation history information acquired each time is stored in the operation history information file. It is appended (memorized).
Thereafter, when the power is turned off, the operation history file is terminated.

  During this time, the opening / closing history information generating unit 112 generates drawer opening / closing history information and stores it in the drawer opening / closing history file each time the opening / closing of the drawer 25 is detected by the sensor unit 39 (see FIG. 6).

Next, the drawer abnormality detection process will be described with reference to FIG.
FIG. 13 is a flowchart for explaining an example of the flow of a drawer abnormality detection process.
The drawer abnormality detection process is started, for example, when the sales data processing apparatus 10 is executing the settlement process after the business of the day is finished and the store manager logs in the sales data processing apparatus 10 as an operator.
When the drawer abnormality detection process is executed, each function block of FIG. 4 functions in the CPU 31 and the following process is executed. In other words, the operation subject of the following steps corresponds to the CPU 31 in hardware. However, in order to facilitate understanding of the present invention, the processing of the following steps will be described on the assumption that each functional block functioning in the CPU 31 is an operation subject.

  In step S <b> 21, the reference information acquisition unit 122 reads the drawer opening / closing management table (see FIG. 8) from the reference information storage unit 131.

  In step S <b> 22, the history information acquisition unit 121 executes a process for creating an intermediate merge file (hereinafter referred to as “intermediate merge file creation process”). Details of the intermediate merge file creation processing will be described later with reference to FIG.

  In step S <b> 23, the abnormality detection unit 123 executes a process for detecting a drawer open abnormality time (hereinafter referred to as “drawer open abnormality time detection process”). Details of the drawer open abnormal time detection process will be described later with reference to FIGS. 15 to 17.

  In step S <b> 24, the abnormality detection unit 123 executes a process for detecting the number of drawer open abnormalities (hereinafter referred to as “drawer open abnormality number detection process”). Details of the drawer open abnormality frequency detection process will be described later with reference to FIGS. 18 and 19.

In step S25, the main control unit 101 deletes the operation history information and the drawer opening / closing history information.
Thereby, the drawer abnormality detection process ends.

Next, the intermediate merge file creation process will be described with reference to FIG.
FIG. 14 is a flowchart for explaining an example of a detailed flow of the intermediate merge file creation process of step S22 in the drawer abnormality detection process of FIG.

In step S <b> 41, the history information acquisition unit 121 reads only the function record (operation history information) that accompanies the opening of the drawer 25 from the operation history file stored in the operation history information storage unit 132.
Specifically, the history information acquisition unit 121 reads only the operation history information (record) whose drawer automatic open flag is “1” from the operation history information included in the operation history file.
Referring to the example of FIG. 5, operation history information (records) of the functions “change preparation”, “cash”, and “exchange” is read.

  In step S <b> 42, the history information acquisition unit 121 takes the read record (operation history information) into the intermediate merge file of the integrated history information storage unit 134.

  In step S43, the history information acquisition unit 121 reads all the records (drawer opening / closing history information) of the drawer opening / closing history file stored in the opening / closing history information storage unit 133. Referring to the example of FIG. 6, all the drawer opening / closing history information (records) for 8 lines are read.

  In step S <b> 44, the history information acquisition unit 121 takes the acquired record into the intermediate merge file of the integrated history information storage unit 134.

  In step S45, the history information acquisition unit 121 rearranges the records of the intermediate merge file (operation history information and drawer opening / closing history information with the opening of the drawer 25) in the integrated history information storage unit 134 in time series. Thereby, for example, the intermediate merge file shown in FIG.

In step S46, the integrated history information generation unit 135 stores the intermediate merge file (see FIG. 7A) rearranged in the process of step S45 in the integrated history information storage unit 134.
Thus, the intermediate merge file creation process ends. Thereafter, the process proceeds to a drawer open abnormality detection process in step S23 of FIG.

Accordingly, the drawer open abnormal time detection process will be described with reference to FIGS. 15 and 16.
15 and 16 are flowcharts for explaining an example of a detailed flow of the drawer open abnormality time detection process of step S23 in the drawer abnormality detection process of FIG.

In step S60, the abnormality detection unit 123 places a pointer on the first line of the intermediate merge file. It is assumed that the pointer indicates a line (record) to be read.
In step S61, the abnormality detection unit 123 initializes the abnormality time detection count i to zero. The abnormal time detection count i will be described later.

In step S62, the abnormality detection unit 123 determines whether a record exists at the position indicated by the pointer in the intermediate merge file.
If the record does not exist, NO is determined in step S62, and the process proceeds to step S76. However, the processing after step S76 will be described later.
On the other hand, if a record exists, it is determined as YES in step S62, and the process proceeds to step S63.
In step S63, the abnormality detection unit 123 reads the record indicated by the pointer from the intermediate merge file.
Specifically, for example, in the intermediate merge file in FIG. 7A, it is assumed that a point is arranged at the position of the fourth line from the top. In this case, the abnormality detection unit 123 reads the record on the fourth line, that is, the combination of “Ito” by the operator using the “cash” function.

In step S64 in FIG. 16, the abnormality detection unit 123 determines whether or not the read record is a function record.
When the read record is originally a record of the drawer opening / closing history file, it is a record indicating opening / closing of the drawer 25 (open or closed record), so it is determined as NO in step S64, and the processing is performed. Proceed to step S75. However, the processing after step S75 will be described later.
On the other hand, if the read record is originally a record of the operation history file, it is a function record, so that it is determined as YES in Step S64, and the process proceeds to Step S65. In the above example, that is, in the example in which the record in the fourth line of the intermediate merge file in FIG. 7A is read, since it is a record of the function of “cash”, it is determined as YES in step S64, Advances to step S65.

In step S65, the abnormality detection unit 123 searches the drawer opening / closing management table for the drawer open permission time for the operator and function corresponding to the record read in the process of step S63.
Such a series of processes in step S65 is hereinafter referred to as “permitted time search process”. Details of the permission time search process will be described later with reference to FIG.
For example, in the above example, that is, the record in the fourth line of the intermediate merge file in FIG. 7A is read, the drawer opening / closing management of FIG. 8 is performed because the “cash” function and the operator are “Ito”. From the first row of the table, it is searched that the drawer open permission time is 30 seconds.

In step S66, the abnormality detection unit 123 determines whether the drawer open permission time is the maximum value.
The drawer open permission time being the maximum value means that there is no restriction on the opening time of the drawer 25 for the combination of the operator and the function corresponding to the record read in the process of step S63. In such a case, it is determined as YES in Step S66, and the process proceeds to Step S75 in FIG. However, the processing after step S75 will be described later.
On the other hand, when the drawer open permission time is not the maximum value, it is determined as NO in Step S66, and the process proceeds to Step S67. For example, in the above example, that is, in the example in which the drawer opening permission time is searched for from the first row of the drawer opening / closing management table of FIG. 8 to be 30 seconds, it is determined as NO in step S66, and the processing is step. Proceed to S67.

  In step S67, the abnormality detection unit 123 advances the pointer in the intermediate merge file by one record. In the above example, that is, in the example in which the pointer is set on the fourth line of the intermediate merge file in FIG. 7A, the pointer moves to the fifth line.

In step S68, the abnormality detection unit 123 determines whether a record exists at the position indicated by the pointer in the intermediate merge file.
If the record does not exist, it is determined as NO in Step S68, and the process proceeds to Step S76 in FIG. However, the processing after step S76 will be described later.
On the other hand, if a record exists, it is determined as YES in step S68, and the process proceeds to step S69.
In step S69, the abnormality detection unit 123 determines whether the read record is a closed record.
If the read record is originally an open record of the drawer opening / closing history file (record indicating opening of the drawer 25) or an original operation history file record, it is determined as NO in step S69. The process proceeds to step S77. In the above example, that is, in the example in which the pointer moves to the fifth line of the intermediate merge file in FIG. 7A, the record on the fifth line is an open record, so it is determined as NO in step S69. The process proceeds to step S77.

In step S77, the abnormality detection unit 123 determines whether the read record is a function record.
If the read record is a function record, it is determined as YES in step S77, and the process proceeds to step S78. However, the processing after step S78 will be described later.
On the other hand, if the read record is not a closed record (NO in step S69) and is not a function record, that is, if it is an open record, step S77 is executed. In step S67, the process returns to step S67, and the subsequent processes are repeated.
In the above example, that is, in the example in which the pointer moves to the fifth line of the intermediate merge file in FIG. 7A, the record on the fifth line is an open record, so it is determined as NO in step S77. The processing is returned to step S67. In this case, the pointer moves to the sixth line of the intermediate merge file in FIG. 7A (step S67), and there is a record (YES in step S68). If it is determined as YES, the process proceeds to step S78.

In step S78, the abnormality detection unit 123 determines whether or not the time difference between the records of the previous function and the current function exceeds the drawer open permission time.
That is, the determination process in step S78 can be understood from the previous function that the current function has been executed while the drawer 25 is not closed (see NO in step S69) and the open state is maintained. Therefore, the time difference between the records of the previous function and the current function indicates the maintenance time of the drawer 25 in the open state. It is determined whether or not the maintenance time of the drawer 25 in the open state exceeds the drawer open permission time.

  If the maintenance time of the drawer 25 in the open state does not exceed the drawer open permission time, no drawer open abnormal time has occurred, so it is determined NO in step S78, and the process returns to step S65. The subsequent processing is repeated. That is, the drawer open permission time for the current function is searched, and the presence or absence of the drawer open abnormality time is detected based on the drawer open permission time.

On the other hand, if the maintenance time of the drawer 25 in the open state exceeds the drawer open permission time, it means that the drawer open abnormal time has occurred, so it is determined as YES in step S78, and the process Advances to step S79.
In step S79, the abnormality detection unit 123 increments the abnormality time detection count i by 1 (i = i + 1).
In step S80, the abnormality detection unit 123 determines whether or not the abnormal time detection count i is 1.
The case where the abnormal time detection count i is 1 means that the drawer open abnormal time is detected for the first time. Thus, when the abnormal time detection count i is 1, it is determined as YES in Step S80, and the process proceeds to Step S81. In step S81, the abnormality information output control unit 104 controls the printing unit 24 to print the detected drawer open abnormality time together with the header. That is, when the drawer open abnormal time is detected for the first time, not only the drawer open abnormal time detected for the first time but also the header is printed.

In the above example, that is, in the example in which the pointer moves from the 4th line to the 6th line of the intermediate merge file in FIG. 7A, the time difference between the previous function record and the current function record is 1 minute (09:22:02). 11-209: 21: 02.112). On the other hand, the drawer open permission time is 30 seconds. Therefore, since the drawer open abnormal time has occurred, it is detected, and it is determined as YES in Step S78, and the process proceeds to Step S79.
Then, the abnormal time detection count i is updated from 0 to 1 in step S79, and it is determined as YES in step S80. In the process of step S81, as shown in FIG. Along with the header “Report”, the drawer open abnormal time “2011/3/12 09:21 Ito Cash ... 60 seconds” is printed.

  On the other hand, when the abnormal time detection count i is not 1, it means that the drawer open abnormal time is detected for the second time or later. Therefore, in such a case, it is determined as NO in Step S80, and the process proceeds to Step S82. In step S82, the abnormality information output control unit 104 controls the printing unit 24 to print the detected drawer open abnormality time. That is, when the drawer open abnormality time is detected for the second time or later, printing of the header is unnecessary, and therefore only the detected drawer open abnormality time is printed.

In the foregoing, a series of processes for a pattern in which records arranged in a time series of an intermediate merge file do not sandwich a close record between two functions has been described.
Next, a series of processes for a pattern in which records arranged in a time series of an intermediate merge file sandwich a closed record between two functions will be described. However, since the process up to step S69 is the same, the description thereof is omitted.

  When the pointer advances to point to a closed record, it is determined as YES in step S69, and the process proceeds to step S70.

In step S <b> 70, the abnormality detection unit 123 determines whether the time difference between the records of the function and the close exceeds the drawer open permission time.
That is, the difference between the function and the closing time indicates the maintenance time of the drawer 25 in the open state. In the determination process of step S70, it is determined whether or not the maintenance time of the drawer 25 in the open state exceeds the drawer open permission time.

If the maintenance time of the drawer 25 in the open state does not exceed the drawer open permission time, no drawer open abnormality time has occurred, so it is determined NO in step S70, and the process proceeds to step S75 in FIG. .
In step S75, the abnormality detection unit 123 advances the pointer in the intermediate merge file by one record, returns the process to step S62, and repeats the subsequent processes.

On the other hand, when the maintenance time of the open state of the drawer 25 exceeds the drawer open permission time, it means that the drawer open abnormal time has occurred, so it is determined as YES in step S70, and the process Advances to step S71.
Note that the processes of steps S71 to S74 are the same as the processes of steps S79 to S82 described above, and thus the description thereof is omitted here.

When the above processing is repeatedly executed, the pointer advances and moves to the next (last) of the last record in the intermediate merge file. In such a case, it is determined as NO in Step S62 of FIG. 15, and the process proceeds to Step S76.
In step S76, the main control unit 101 deletes the intermediate merge file.
Thereby, the drawer open abnormal time detection process is completed.

Here, with reference to FIG. 17, the permission time search process of step S65 of FIG. 16 will be described.
FIG. 17 is a flowchart illustrating a detailed flow of the permission time search process in step S65 of FIG.
The permission time search process is executed when a function record is read from the intermediate merge file (YES in step S63 in FIG. 15 and step S64 in FIG. 16).

In step S101, the abnormality detection unit 123 sets the maximum value as the drawer open permission time. That is, the maximum value becomes the initial setting value.
In step S <b> 102, the abnormality detection unit 123 places a pointer at the top of the drawer opening / closing management table stored in the reference information storage unit 131.

In step S103, the abnormality detection unit 123 determines whether there is a record at the position indicated by the pointer.
If a record exists, it is determined as YES in step S103, and the process proceeds to step S104. In step S104, the abnormality detection unit 123 reads a record at the position indicated by the pointer in the drawer opening / closing management table.

  In step S105, the abnormality detection unit 123 determines the combination of the operator and the function in the record read from the intermediate margin file in the process of step S63, and the operator and the function in the record read from the drawer open / close management table in the process of step S104. It is determined whether the combinations match.

If they do not match, the record read in the process of step S104 does not include the target drawer open permission time, so it is determined as NO in step S105, and the process proceeds to step S106.
In step S106, the abnormality detection unit 123 advances the pointer position by one record. Thereafter, the process returns to step S103, and the subsequent processes are repeated.
That is, the loop processing of steps S103 (YES), S104, S105 (NO), and S106 is repeated, and the pointers are shifted sequentially.
If the combination of the operator and the function in the record read from the intermediate margin file in step S63 matches the combination of the operator and the function in the record read from the drawer open / close management table in step S104, In step S105, it is determined as YES, and the process proceeds to step S107.

In step S107, the abnormality detection unit 123 sets the drawer open permission time assigned to the operator in the record read from the drawer opening / closing management table in the process of step S104. As a result, the permission time search process ends.
Even when the above-described loop processing is repeated and the pointer moves to the end and there is no record that can be read, it is determined as NO in step S103, and the permitted time search processing is performed. Ends.
When the permission time search process ends, that is, when the process of step S65 of the drawer open abnormal time detection process of FIG. 16 ends, the process proceeds to step S66.

In the above, the drawer open abnormality time detection process of step S23 was demonstrated among the drawer abnormality detection processes of FIG.
When such a drawer open abnormality number detection process is completed, the process proceeds to a drawer open abnormality number detection process in step S24 of FIG.

Accordingly, with reference to FIG. 18, the drawer open abnormality frequency detection process will be described.
FIG. 18 is a flowchart for explaining an example of a detailed flow of the drawer open abnormality frequency detection process of step S24 in the drawer abnormality detection process of FIG.

In step S <b> 121, the history information acquisition unit 121 reads an operation history file record (operation history information) stored in the operation history information storage unit 132 for each operator.
In step S122, the history information acquisition unit 121 counts the number of records for each function.
In step S123, the history information acquisition unit 121 stores the total number of records for each operator-specific function in the integrated history information storage unit 134 as a frequency count file (see FIG. 7B).

In step S124, the abnormality detection unit 123 places a pointer at the beginning of the collection total file.
In step S125, the abnormality detection unit 123 sets the abnormality frequency detection count j to zero.

In step S126, the abnormality detection unit 123 determines whether or not a record exists at the position indicated by the pointer in the number counting file.
If the record does not exist, NO is determined in step S126, and the process proceeds to step S136. However, the processing after step S136 will be described later.
On the other hand, if a record exists, it is determined as YES in step S126, and the process proceeds to step S127.
In step S127, the abnormality detection unit 123 reads the record indicated by the pointer from the number counting file.
Specifically, for example, it is assumed that a point is arranged at the position of the first line from the top in the number counting file of FIG. In this case, the abnormality detection unit 123 records the first line, that is, a record indicating that the opening / closing frequency of the drawer 25 is “15” for the operator “Ito” in the “exchange” function. Read.

In step S128, the abnormality detection unit 123 searches the drawer opening / closing management table for the number of times the drawer is open for the operator and function corresponding to the record read in step S127.
Such a series of processing in step S128 is hereinafter referred to as “permission count search processing”. Details of the permitted number search process will be described later with reference to FIG.
For example, in the above-described example, that is, in the example in which the record in the first line of the counting number file in FIG. 7B is read, the drawer change management in FIG. 8 is performed because the “exchange” function and the operator are “Ito”. It is searched from the third row of the table that the drawer open permission count is 10 times.

  In step S129, the abnormality detection unit 123 determines whether or not the drawer open permission count is the maximum value.

That the drawer open permission count is the maximum value means that there is no limit to the number of times the drawer 25 can be opened and closed for the combination of the operator and the function corresponding to the record read in the process of step S127. In such a case, it is determined as YES in Step S129, and the process proceeds to Step S135.
In step S135, the abnormality detection unit 123 advances the pointer by one record. Thereafter, the process returns to step S126, and the subsequent processes are repeated.

  On the other hand, when the drawer open permission time is not the maximum value, it is determined as NO in Step S129, and the process proceeds to Step S130.

In step S130, the abnormality detection unit 123 determines whether or not the number of occurrences of the record exceeds the number of drawer open permits.
If the number of occurrences of the record does not exceed the number of times that the drawer is permitted to open, since the number of times when the drawer is open is not occurring, it is determined NO in step S130, and the process returns to step S135. Repeated.

On the other hand, if the number of occurrences of the record exceeds the number of permitted drawer opens, the number of abnormal drawer opens has occurred, so it is determined as YES in step S130, and the process proceeds to step S131. move on.
In step S131, the abnormality detection unit 123 increments the abnormality frequency detection count j by 1 (j = j + 1).
In step S <b> 132, the abnormality detection unit 123 determines whether or not the abnormality frequency detection count j is 1.
The case where the number of abnormal times detection j is 1 means that the detection of the number of drawer open abnormal times is the first time. As described above, when the abnormality frequency detection count j is 1, it is determined as YES in Step S132, and the process proceeds to Step S133.
In step S133, the abnormality information output control unit 104 controls the printing unit 24 to print the detected number of drawer open abnormalities together with the header. That is, when the detection of the number of drawer open abnormalities is the first time, not only the number of drawer open abnormalities detected at the first time but also the header is printed.

In the above example, that is, in the example in which the pointer is on the first line of the total number file in FIG. On the other hand, the drawer open permission count is 10 times. Therefore, since the number of drawer open abnormalities has occurred, it is detected, and it is determined as YES in Step S130, and the process proceeds to Step S131.
In step S131, the number of abnormal times detection j is updated from 0 to 1, and in step S132, it is determined to be YES. In the process of step S133, as shown in FIG. Along with the header “Report”, the number of drawer open abnormal times “2011/3/12 Ito Exchange 15” is printed.

  On the other hand, when the number of times of abnormality detection j is not 1, it means that the detection of the number of times of drawer open abnormality is the second time or later. Therefore, in such a case, it is determined as NO in Step S132, and the process proceeds to Step S134. In step S134, the abnormality information output control unit 104 controls the printing unit 24 to print the detected number of drawer open abnormalities. In other words, if the detection of the number of drawer open abnormalities is the second time or later, printing of the header is unnecessary, so only the detected number of drawer open abnormalities is printed.

When the above processing is repeatedly executed, the pointer advances and moves to the next (last) of the last record in the number counting file. In such a case, it is determined as NO in Step S126, and the process proceeds to Step S136.
In step S136, the main control unit 101 deletes the number counting file.
As a result, the drawer open abnormality number detection process is completed.

Here, with reference to FIG. 19, the permitted number searching process in step S128 of FIG. 18 will be described.
FIG. 19 is a flowchart for explaining the detailed flow of the permitted number search process in step S128 of FIG.
The permitted number searching process is executed when a record is read from the number counting file (see step S127).

In step S151, the abnormality detection unit 123 sets the maximum value as the number of drawer open permits. That is, the maximum value becomes the initial setting value.
In step S152, the abnormality detection unit 123 places a pointer at the head of the drawer opening / closing management table stored in the reference information storage unit 131.

In step S153, the abnormality detection unit 123 determines whether a record exists at the position indicated by the pointer.
If the record exists, it is determined as YES in Step S153, and the process proceeds to Step S154. In step S154, the abnormality detection unit 123 reads the record at the position indicated by the pointer in the drawer opening / closing management table.

  In step S155, the abnormality detection unit 123 sets the combination of the operator and the function in the record read from the number counting file in the process of step S127 and the operator and the function in the record read from the drawer opening / closing management table in the process of step S154. It is determined whether the combinations match.

If they do not match, the record read in the process of step S154 does not include the target drawer open permission count, so it is determined NO in step S155, and the process proceeds to step S156.
In step S156, the abnormality detection unit 123 advances the pointer position by one record. Thereafter, the process returns to step S153, and the subsequent processes are repeated.
That is, the loop processing of steps S153 (YES), S154, S155 (NO), and S156 is repeated, and the pointers are sequentially shifted.
If the combination of the operator and the function in the record read from the count number file in the process of step S155 matches the combination of the operator and the function in the record read from the drawer open / close management table in the process of step S154, In step S155, it is determined as YES, and the process proceeds to step S157.

In step S157, the abnormality detection unit 123 sets the number of drawer open permits assigned to the operator in the record read from the drawer open / close management table in step S154. As a result, the permitted number search process ends.
Even when the pointer moves to the end while the above loop processing is being repeated and there is no record that can be read, it is determined as NO in step S153, and the permitted number search processing is performed. Ends.
When the permitted number search process ends, that is, when the process of step S128 of the drawer open abnormality number detection process of FIG. 18 ends, the process proceeds to step S129.

  As described above, the sales data processing apparatus 10 needs to store the cash received from the customer, such as “cash”, “change preparation”, “exchange”, etc., in the drawer 25 or withdraw the change handed to the customer from the drawer 25. When a certain function is executed, the drawer 25 is automatically opened. However, the opened drawer 25 is not automatically closed but is closed by an operator's manual operation.

Since the opening and closing of the drawer 25 associated with such a function is a short time and the number of times of opening and closing is not frequent, the opening time of the drawer 25 is long, or the opening and closing frequency of the drawer 25 is many times There is a suspicion that the cash was withdrawn from the drawer 25 illegally.
Therefore, the standard opening time (drawer open permission time) and standard opening / closing frequency (drawer open permission times) of the drawer 25 required for each operator and for each function are set in advance. The sales data processing device 10 compares each of the standard opening time and the standard opening / closing frequency of the drawer 25 with each of the opening time and the opening / closing frequency as an operation history when the operator actually executes the function. Then, based on the result of the comparison, an operation history that is suspected of being illegally withdrawn from the drawer 25 is detected as an abnormal drawer operation.

Specifically, a drawer abnormality that detects, as an abnormal drawer operation, an operation that is suspected of illegally withdrawing cash from the drawer 25 to the sales data processing apparatus 10 that opens the drawer 25 in response to an operation by the operator. A detection device is built in the sales data processing device 10.
This drawer abnormality detection device includes a history information acquisition unit 121, a reference information acquisition unit 122, and an abnormality detection unit 123.
The history information acquisition unit 121 acquires the history of each operation (each function) for the sales data processing apparatus 10.
The reference information acquisition unit 122 is a standard for an operation specified from a history among standard operation standards (drawer open permission time and drawer open permission times) set in advance for each operation (for each function) that opens the drawer 25. Get operational criteria.
The abnormality detection unit 123 obtains a difference from the standard operation reference acquired by the reference information acquisition unit 122 for each operation specified from the history, and detects an abnormal drawer operation when there is a difference greater than or equal to a predetermined value. .
In this way, the operation history of the sales data processing apparatus 10 that is suspected of having been illegally withdrawn from the drawer 25 can be detected appropriately, accurately, and efficiently as an abnormal operation of the drawer 25. become.

  In addition, this invention is not limited to the above-mentioned embodiment, The deformation | transformation in the range which can achieve the objective of this invention, improvement, etc. are included in this invention.

For example, in the present embodiment, each function of the sales data processing apparatus is housed in one housing in the present embodiment, but this is not particularly necessary and may be distributed.
In particular, at least a part of the reference information storage unit 131 to the integrated history information storage unit 134 does not have to be provided in the storage unit 40 of the sales data processing device 10, and is not provided in a device (server or the like) external to the sales data processing device 10. You may make it provide.

In addition, when the drawer open permission time and the number of drawer open permission times do not exist in the reference information storage unit 131, the past average open time of the drawer 25 is determined from the operation history information for each operator and function in the reference information storage unit 131. The opening / closing frequency of the drawer 25 may be calculated and acquired as the drawer open permission time and the drawer open permission frequency.
In the above-described embodiment, the sales data processing apparatus 10 to which the present invention is applied has been described as an example, but the present invention is not particularly limited thereto. For example, the present invention can be applied to an electronic device having the drawer 25 in general.

The series of processes described above can be executed by hardware or can be executed by software.
In other words, the functional configuration of FIG. 3 is merely an example, and is not particularly limited. That is, it is sufficient if a function capable of executing the above-described series of processes as a whole is provided, and what functional block is used to realize this function is not particularly limited to the example of FIG.
In addition, one functional block may be constituted by hardware alone, software alone, or a combination thereof.

When a series of processing is executed by software, a program constituting the software is installed on a computer or the like from a network or a recording medium.
The computer may be a computer incorporated in dedicated hardware. The computer may be a computer capable of executing various functions by installing various programs, for example, a general-purpose personal computer.

  The recording medium containing such a program is not only constituted by the removable medium 71 of FIG. 3 distributed separately from the apparatus main body in order to provide the program to the operator, but also in a state of being incorporated in the apparatus main body in advance. It is comprised with the recording medium etc. which are provided in this. The removable medium 71 is composed of, for example, a magnetic disk (including a floppy disk), an optical disk, a magneto-optical disk, or the like. The optical disk is composed of, for example, a CD-ROM (Compact Disk-Read Only Memory), a DVD (Digital Versatile Disk), or the like. The magneto-optical disk is configured by an MD (Mini-Disk) or the like. Further, the recording medium provided to the operator in a state of being preliminarily incorporated in the apparatus main body is configured by, for example, the ROM 32 of FIG.

In the present specification, the step of describing the program recorded on the recording medium is not limited to the processing performed in time series along the order, but is not necessarily performed in time series, either in parallel or individually. The process to be executed is also included.
Further, in the present specification, the term “system” means an overall apparatus configured by a plurality of devices, a plurality of means, and the like.

  As mentioned above, although several embodiment of this invention was described, these embodiment is only an illustration and does not limit the technical scope of this invention. The present invention can take other various embodiments, and various modifications such as omission and replacement can be made without departing from the gist of the present invention. These embodiments and modifications thereof are included in the scope and gist of the invention described in this specification and the like, and are included in the invention described in the claims and the equivalent scope thereof.

The invention described in the scope of claims at the beginning of the filing of the present application will be appended.
[Appendix 1]
A sales data processing device that opens a drawer in response to an operation by an operator,
A history acquisition means for acquiring a history of operations by the operator;
Reference information acquisition means for acquiring the standard operation standard for the operation specified from the history among the standard operation standards preset for each operation for opening the drawer;
Abnormality detection means for obtaining a difference from the standard operation reference acquired by the reference information acquisition means for each operation specified from the history, and detecting an abnormal drawer operation when there is a difference greater than or equal to a predetermined value When,
A sales data processing apparatus comprising:
[Appendix 2]
The history includes an operation time of an operation on the sales data processing device,
The standard operation standard includes a standard operation time set for each operation,
The abnormality detection means detects an abnormal drawer operation when there is an operation requiring a certain time longer than the standard operation time in each operation specified from the history.
The sales data processing apparatus according to appendix 1, wherein
[Appendix 3]
The history includes the number of operations performed by the operator,
The standard operation standard includes a standard operation frequency set for each operation,
The abnormality detection means detects an abnormal drawer operation when there is an operation in which the number of operations is greater than or equal to the standard number of operations in each operation identified from the history.
The sales data processing device according to appendix 1 or 2, wherein:
[Appendix 4]
Accept login operation by a predetermined operator among multiple operators,
The standard operation standard set in advance for each operation is set for each of the plurality of operators,
The history acquisition means acquires a history of operations by the predetermined operator who performed the login operation,
The reference information acquisition means acquires the standard operation reference for the predetermined operator who performed the login operation,
The abnormality detection means obtains a difference from the standard operation standard for each of the operations specified from the history for the predetermined operator who has performed the login operation. Detect as abnormal,
The sales data processing device according to any one of supplementary notes 1 to 3, wherein:
[Appendix 6]
Computer
A history acquisition means for acquiring a history of operation by the operator for the sales data processing device that opens the drawer in response to the operation by the operator,
Reference information acquisition means for acquiring the standard operation standard for the operation specified from the history among the standard operation standards set in advance for each operation for opening the drawer;
Abnormality detection means for obtaining a difference from the standard operation reference acquired by the reference information acquisition means for each operation specified from the history, and detecting an abnormal drawer operation when there is a difference greater than or equal to a predetermined value ,
A program characterized by functioning as

  DESCRIPTION OF SYMBOLS 10 ... Sales data processing apparatus, 21 ... Number key, 22 ... Function key, 23 ... Display part, 24 ... Printing part, 25 ... Drawer, 31 ... CPU, 32 ... ROM, 33 ... RAM, 34 ... bus, 35 ... input / output interface, 36 ... input unit, 37 ... output unit, 38 ... drawer control unit, 39 ... Sensor unit 40 ... Storage unit 41 ... Communication unit 42 ... Drive 71 ... Removable media 101 ... Main control unit 102 ... History information generation unit 103 ..Drawer abnormality detection unit, 104... Abnormal information output control unit, 111... Operation history information acquisition unit, 112 .. opening / closing history information generation unit, 121. Reference information acquisition unit, 123 ... abnormality detection unit, 31 ... reference information storage unit, 132 ... operation history information storage unit, 133 ... opening history information storage unit, 134 ... integrated history information acquisition unit

The present invention relates to data processing apparatus and program.

An object of the present invention is to make it possible to determine an operation state of a specific operation accompanying an individual operation by an operator .

Claim 1 is a data processing apparatus that performs data processing corresponding to an operation in response to an operation by an operator, and when performing an individual operation with any one of a plurality of operation types, the individual operation The first acquisition means for acquiring the operation state information of the predetermined specific operation associated with the operation information and the determination criterion information of the operation state of the specific operation associated with the operation type for each of the plurality of operation types correspond in advance. The second acquisition unit that acquires the determination reference information of the specific operation corresponding to the operation type of the individual operation by referring to the storage unit that is additionally stored, and the specific operation acquired by the first acquisition unit Comparing means for comparing the operation state information with the criterion information for the specific action corresponding to the operation type of the individual operation acquired by the second acquiring means, and performing output according to the comparison result of the comparing means and output means, equipped with a And wherein the door.
Claim 3 is a data processing device that performs data processing corresponding to an operation in response to an operation by an operator, and when an individual operation is performed by any one of a plurality of operators, First acquisition means for acquiring the operation state information of the specific operation associated with the individual operation by the operator, and determination criterion information of the operation state of the specific operation associated with the individual operation for each of a plurality of operators in advance. By referring to the storage means stored in association with each other, the second acquisition means for acquiring the judgment reference information of the specific action corresponding to the operator, and the operation state of the specific action acquired by the first acquisition means Comparing means for comparing the information and the determination criterion information of the specific action corresponding to the operator acquired by the second acquiring means, and an output means for performing output according to the comparison result of the comparing means It is characterized by having That the data processing device.

According to the present invention, it is possible to determine an operation state of a specific operation accompanying an individual operation by an operator .

Claims (4)

A sales data processing device that opens a drawer in response to an operation by an operator,
A history acquisition means for acquiring a history of operation times of each operation for each of a plurality of types of operations for releasing a drawer by an operator;
Reference information acquisition means for acquiring the standard operation time corresponding to the plurality of types of operations specified from the history among the standard operation times preset for each of the plurality of types of operations for opening the drawer;
For each of the plurality of types of operations specified from the history, each operation specified from the history is obtained by obtaining a difference between the operation time of each operation and the standard operation time acquired by the reference information acquisition unit. Among these, when there is an operation that requires a certain time longer than the standard operation time, the abnormality detection means for detecting as an abnormal drawer operation,
A sales data processing apparatus. The history includes the number of operations performed by the operator,
The standard operation standard preset for each operation for opening the drawer includes the standard operation times set for each operation,
The abnormality detection means detects an abnormal drawer operation when there is an operation in which the number of operations is greater than or equal to the standard number of operations in each operation identified from the history.
The sales data processing apparatus according to claim 1, wherein: Accept login operation by a predetermined operator among multiple operators,
The standard operation standard set in advance for each operation for opening the drawer is set for each of the plurality of operators.
The history acquisition means acquires a history of operations by the predetermined operator who performed the login operation,
The reference information acquisition means acquires the standard operation reference for the predetermined operator who performed the login operation,
The abnormality detection means obtains a difference from the standard operation standard for each of the operations specified from the history for the predetermined operator who has performed the login operation. Detect as abnormal,
The sales data processing apparatus according to claim 1 or 2, characterized in that A program for controlling a computer of a sales data processing apparatus that opens a drawer in response to an operation by an operator,
The computer,
History acquisition means for acquiring a history of operation times of each operation for each of a plurality of types of operations for opening the drawer by the operator;
Reference information acquisition means for acquiring the standard operation time corresponding to the plurality of types of operations specified from the history among the standard operation times set in advance for each of the plurality of types of operations for opening the drawer.
For each of the plurality of types of operations specified from the history, each operation specified from the history is obtained by obtaining a difference between the operation time of each operation and the standard operation time acquired by the reference information acquisition unit. An abnormality detecting means for detecting as an abnormal drawer operation when there is an operation that requires a certain time longer than the standard operation time.
A computer-readable program designed to function as a computer.

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