JPWO2017104284A1 - Data processing apparatus, data processing method, and data processing program - Google Patents

Data processing apparatus, data processing method, and data processing program Download PDF

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JPWO2017104284A1
JPWO2017104284A1 JP2016082640A JP2017556408A JPWO2017104284A1 JP WO2017104284 A1 JPWO2017104284 A1 JP WO2017104284A1 JP 2016082640 A JP2016082640 A JP 2016082640A JP 2017556408 A JP2017556408 A JP 2017556408A JP WO2017104284 A1 JPWO2017104284 A1 JP WO2017104284A1
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data
drawing
drawing content
past
newly acquired
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JP6440868B2 (en
Inventor
真理子 上野
真理子 上野
博信 阿倍
博信 阿倍
川浦 健央
健央 川浦
広泰 田畠
広泰 田畠
保之 冨高
保之 冨高
康次 長谷川
康次 長谷川
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三菱電機株式会社
三菱電機ビルテクノサービス株式会社
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Priority to PCT/JP2016/082640 priority patent/WO2017104284A1/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F12/00Accessing, addressing or allocating within memory systems or architectures
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F13/00Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units

Abstract

The data determination unit (11) newly obtains the drawing contents of past acquired data, which is drawing data acquired in the past from the data update apparatus that updates the drawing contents of drawing data as time passes, and the data updating apparatus. The drawing content of the newly acquired data, which is drawing data, is collated, and it is determined whether or not the drawing content of the newly acquired data is the updated drawing content from the past acquired data.

Description

  The present invention relates to a technique for determining whether drawing data has been updated.

Patent Literature 1, Patent Literature 2 and Patent Literature 3 disclose methods for collecting update information or network commands of servlets of Web pages operating on the server side and notifying the collected update information or network commands to the user. .
In addition, there are many free softwares for automatic web patrol tools that automatically change web pages when a specified time arrives or when some condition is satisfied, and operate the web pages. Some of such Web automatic patrol tools have a function of transmitting Web page information to a user.
In addition, Patent Document 4 and Patent Document 5 disclose a technique for notifying that a screen has been updated when the screen is updated on a Web page, or a technique for highlighting an image to notify that the screen has been updated. Is disclosed.
Patent Document 6 discloses a technique for comparing a screen automatically generated from a HyperText Markup Language (HTML) command with a display screen and confirming whether the display screen is normally displayed.

JP 11-259354 A JP 2002-99557 A Special table 2012-5296687 gazette JP 2011-2004048 A JP-A-2005-190443

In the confirmation by the network command of the conventional method disclosed in Patent Literatures 1 to 6, whether or not the drawing content of the drawing data whose drawing content is updated with the passage of time is updated with the passage of time. There is a problem that it cannot be determined.
The main object of the present invention is to solve such problems. That is, the main object of the present invention is to obtain a configuration for determining whether or not the drawing content of drawing data whose drawing content is updated with the passage of time is updated with the passage of time.

The data processing apparatus according to the present invention
The drawing content of past acquired data that is drawing data acquired in the past from the data update device that updates the drawing content of drawing data as time passes, and the newly acquired data that is drawing data newly acquired from the data update device And a data determination unit for determining whether or not the drawing content of the newly acquired data is the drawing content updated from the past acquired data.

  According to the present invention, the drawing content of the past acquisition data is compared with the drawing content of the new acquisition data, and it is determined whether or not the drawing content of the new acquisition data is the drawing content updated from the past acquisition data. Thus, it can be determined whether or not the drawing content of the drawing data whose drawing content is updated with the passage of time is updated with the passage of time.

FIG. 3 is a diagram illustrating an example of a system configuration according to the first embodiment. FIG. 3 shows a configuration example of a data processing apparatus according to the first embodiment. FIG. 3 is a flowchart showing an operation example of the data processing apparatus according to the first embodiment. FIG. 4 is a diagram illustrating an example of a system configuration according to a second embodiment. FIG. 6 is a diagram illustrating a configuration example of a monitoring PC according to the second embodiment. FIG. 9 is a flowchart showing an operation example of the monitoring PC according to the second embodiment. FIG. 9 is a flowchart showing an operation example of the monitoring PC according to the second embodiment. FIG. 10 is a diagram illustrating an example of a collation method according to the second embodiment. FIG. 10 is a diagram illustrating an example of a collation method according to the second embodiment. FIG. 10 is a diagram showing a system configuration example according to the third embodiment. FIG. 10 is a diagram illustrating a configuration example of a monitoring PC according to a third embodiment. FIG. 9 is a flowchart showing an operation example of a monitoring PC according to the third embodiment. FIG. 9 is a flowchart showing an operation example of the data processing apparatus according to the fourth embodiment.

Embodiment 1 FIG.
*** Explanation of configuration ***
FIG. 1 shows a system configuration example according to the present embodiment.
Each of the data processing device 10, the notification destination device 20, and the data update device 30 is a computer.
The data processing apparatus 10 determines whether or not the drawing content of the drawing data whose drawing content is updated with the passage of time has been updated with the passage of time.
The notification destination device 20 is a notification destination for notifying that the data processing device 10 has not updated the drawing data when the data processing device 10 determines that the drawing data has not been updated.
The data update device 30 updates the drawing content of the drawing data with the passage of time.
More specifically, the data update device 30 updates the drawing content of the drawing data at every predetermined update timing.
The data processing device 10, the notification destination device 20 and the data update device 30 are connected by a LAN (Local Area Network) 40. The data processing device 10 and the notification destination device 20 communicate with each other via the LAN 40. Further, the data processing apparatus 10 notifies the notification destination apparatus 20 through the LAN 40 that the drawing data has not been updated.

FIG. 2 shows a configuration example of the data processing apparatus 10 according to the present embodiment.
The data processing apparatus 10 includes a processor 901, a storage device 902, and a communication device 903 as hardware.
The data processing device 10 includes a data determination unit 11 and a notification unit 12 as functional configurations.
The storage device 902 stores programs that realize the functions of the data determination unit 11 and the notification unit 12.
Then, the processor 901 executes these programs and performs operations of a data determination unit 11 and a notification unit 12 described later.
FIG. 2 schematically illustrates a state in which the processor 901 is executing a program that realizes the functions of the data determination unit 11 and the notification unit 12.
The communication device 903 communicates with the notification destination device 20 and the data update device 30 via the LAN 40.

*** Explanation of operation ***
The data determination unit 11 collates the drawing contents of the past acquired data with the drawing contents of the newly acquired data.
The past acquired data is drawing data acquired by the communication device 903 from the data update device 30 in the past.
The newly acquired data is drawing data newly acquired from the data update device 30.
The data determination unit 11 determines whether or not the drawing content of the newly acquired data is the updated drawing content from the past acquired data by collating the drawing content of the previously acquired data with the drawing content of the newly acquired data.
As described above, the data update device 30 updates the drawing content of the drawing data at each predetermined update timing. For this reason, for each update timing, the data determination unit 11 draws the past acquisition data acquired from the data update device 30 at the update timing immediately before the current update timing and the data update device 30 at the current update timing. The drawing contents of newly acquired data newly acquired from the above are collated.
The process performed by the data determination unit 11 corresponds to a data determination process.

  When the data determination unit 11 determines that the drawing content of the newly acquired data is not the updated drawing content from the past acquired data, the notification unit 12 is notified via the communication device 903 as a notification destination. The apparatus 20 is notified that the drawing content of the newly acquired data is not the drawing content updated from the past acquired data.

Next, an operation example of the data processing apparatus 10 according to the present embodiment will be described with reference to the flowchart of FIG.
The operation procedure shown in FIG. 3 corresponds to an example of a data processing method and a data processing program.

First, in step ST301, the data determination unit 11 determines whether or not the drawing data update timing in the data update device 30 has arrived.
The data update device 30 updates the drawing data at a constant update cycle.
For example, the data determination unit 11 sets the update period of the drawing data in the data update device 30 in the timer, and determines that the update timing of the drawing data has arrived when the timer notification is received.

If the update timing has arrived (YES in step ST301), the data determination unit 11 acquires drawing data from the data update device 30 in step ST302.
More specifically, the data determination unit 11 generates a drawing data acquisition request destined for the data update device 30 and outputs the generated acquisition request to the communication device 903.
The communication device 903 transmits an acquisition request to the data update device 30 via the LAN 40.
The data update device 30 transmits drawing data to the data processing device 10 via the LAN 40 as a response to the acquisition request.
In the data processing device 10, the communication device 903 receives the drawing data and outputs the received drawing data to the data determination unit 11.
The drawing data acquired in step ST302 is newly acquired data.

Next, in step ST303, the data determination unit 11 reads past acquired data from the storage device 902.
The past acquisition data is drawing data acquired immediately before the new acquisition data acquired in step ST302.

Next, in step ST304, the data determination unit 11 collates new acquired data with past acquired data.
The drawing data includes an update target area in which the drawing contents are updated, and the data determination unit 11 collates the drawing contents of the update target area of the past acquired data with the drawing contents of the update target area of the newly acquired data.
In addition, the data determination unit 11 compares the drawing contents of the past acquired data with the drawing contents of the newly acquired data, and calculates the similarity between the drawing contents of the past acquired data and the drawn contents of the newly acquired data.

  Next, in step ST305, the data determination unit 11 compares the calculated similarity with a threshold value to determine whether the newly acquired data has been updated from the past acquired data, that is, the drawing content of the newly acquired data is acquired in the past. It is determined whether or not the drawing content is updated from the data.

If it is determined in step ST305 that the newly acquired data has not been updated, the data determining unit 11 notifies the notifying unit 12 that the newly acquired data has not been updated in step ST306. Then, the notification unit 12 notifies the notification destination device 20 that the new acquired data has not been updated.
More specifically, the notification unit 12 generates a notification message that notifies that no update has been made in the newly acquired data.
The notification message is, for example, an e-mail message.
Then, the notification unit 12 outputs a notification message to the communication device 903.
The communication device 903 transmits a notification message to the notification destination device 20 via the LAN 40.

Next, in step ST307, the data determination unit 11 stores newly acquired data in the storage device 902.
Here, the newly acquired data stored in the storage device 902 is read as past acquired data in step ST303 at the next update timing.

*** Explanation of the effect of the embodiment ***
In the present embodiment, the drawing contents of the past acquisition data and the drawing contents of the new acquisition data are collated, and it is determined whether or not the drawing contents of the new acquisition data are the drawing contents updated from the past acquisition data. For this reason, according to the present embodiment, it is possible to determine whether or not the drawing contents of the drawing data whose drawing contents are updated with the passage of time are updated with the passage of time.

Embodiment 2. FIG.
In this embodiment, the operation procedure described in Embodiment 1 will be described more specifically.
In the present embodiment, data for drawing graphs and characters such as electric energy and temperature in real time is taken as an example of drawing data.

*** Explanation of configuration ***
FIG. 4 shows a system configuration example according to the present embodiment.
In the present embodiment, the monitoring PC 100, the administrator PC 200, and the Web server 300 are connected via the LAN 40.
The LAN 40 is the same as that shown in FIG.

The Web server 300 executes a Web application and updates Web page screen data for drawing graphs and characters such as electric energy and temperature in real time.
In the present embodiment, Web page screen data corresponds to an example of drawing data.
The Web server 300 corresponds to the data update device 30 described in the first embodiment.

The monitoring PC 100 acquires Web page screen data from the Web server 300 and collates Web page screen data corresponding to newly acquired data with Web page screen data corresponding to past acquired data.
Further, the monitoring PC 100 determines whether the Web page screen data has been updated.
Furthermore, when the Web page screen data is not updated, the monitoring PC 100 transmits a notification message notifying that the Web page screen data is not updated to the administrator PC 200.
The content of the notification message may notify only that there was an abnormality in the update of the Web page screen data, or the details of the abnormality such as whether the abnormality of the entire graph or the updating of a specific part May be notified.
The monitoring PC 100 corresponds to the data processing apparatus 10 described in the first embodiment.

The administrator PC 200 is a Web application administrator's PC.
The administrator PC 200 receives the notification message from the monitoring PC 100.
The administrator PC 200 corresponds to the notification destination apparatus 20 described in the first embodiment.

FIG. 5 shows a configuration example of the monitoring PC 100 according to the present embodiment.
The processor 901, the storage device 902, and the communication device 903 are the same as those described in the first embodiment.

The monitoring PC 100 includes a browser 101, a screen acquisition processing unit 102, and a screen collation processing unit 103 as functional configurations.
The screen acquisition processing unit 102 accesses the Web application of the Web server 300 using the browser 101. In addition, the screen acquisition processing unit 102 performs automatic transition of a Web page by transmitting an HTTP (Hypertext Transfer Protocol) request, and captures Web page screen data to be verified.
Further, the screen acquisition processing unit 102 stores the captured web page screen data in the storage device 902.
For automatic transition of Web pages, commercially available or free Web automatic patrol software may be used.
The screen collation processing unit 103 performs web page screen data collation processing, and transmits a notification message to the administrator PC 200 when the web page screen data is not updated.
In the present embodiment, the screen acquisition processing unit 102 and the screen collation processing unit 103 correspond to the data determination unit 11 and the notification unit 12 described in the first embodiment.

FIG. 6 is a flowchart showing an operation example of the monitoring PC 100 according to the present embodiment.
ST101 is a process performed by the screen acquisition processing unit 102, and ST102 is a process performed by the screen collation processing unit 103.

First, the screen acquisition processing unit 102 transmits an HTTP request to the Web server 300 using the browser 101, and displays a Web page (step ST1011).
Furthermore, the screen acquisition processing unit 102 transmits an HTTP request to the web server 300 using the browser 101, performs automatic transition of the web page, and transitions to the page to be verified (steps ST1012 and ST1014).
The screen acquisition processing unit 102 performs screen capture on the transitioned page to be collated (ST1013, ST1015).
The flowchart in FIG. 6 shows an example in which two types of Web page screen data are acquired in a single process.
In screen capture, the screen acquisition processing unit 102 may acquire screen shot data of Web page screen data, or may acquire Web page screen data itself.

Next, screen collation processing section 103 reads Web page screen data acquired in the past from storage device 902, and performs screen collation processing (step ST1021).
If the display is abnormal, that is, if the Web page screen data has not been updated (YES in step ST1022), screen collation processing unit 103 transmits a notification message to administrator PC 200 (step ST1023).
Finally, screen collation processing unit 103 stores the Web page screen data in storage device 902 (step ST1024).

The monitoring PC 100 repeats this series of processes at every update timing of the Web page screen data on the Web server 300.
For example, when the graph or the like is updated every hour in the Web server 300, the screen acquisition processing unit 102 and the screen collation processing unit 103 perform the process of FIG. 6 every hour.

FIG. 7 is a flowchart showing details of the screen matching process (ST1021 in FIG. 6).
The flowchart of FIG. 7 shows the flow of processing when performing a two-stage verification process. ST203 represents the first-stage collation process, and ST204 represents the second-stage collation process.
When monitoring PC 100 performs three or more steps of collation processing, processing similar to ST203 or ST204 may be inserted between ST204 and ST1023.

When the collation processing is started, the screen acquisition processing unit 102 reads parameters such as a collation area and a threshold used for collation in steps ST203 and ST204 from the storage device 902 in step ST201.
The parameter may be described in a text file by the user. Alternatively, the parameters may be set from a setting screen by GUI (Graphical User Interface).

  After the parameters are read in ST201, the screen collation processing unit 103 reads the web page screen data to be collated from the storage device 902 in step S202.

Next, screen collation processing section 103 sets the first collation area in step ST2031. Further, screen collation processing section 103 calculates the similarity in step ST2032, and determines in step ST2033 whether the similarity falls within the range of the first-stage collation threshold.
If the degree of similarity is not within the range of the first-stage collation threshold (NO in step ST2033), screen collation processing unit 103 transmits a notification message to administrator PC 200 (step ST1023), and performs collation processing. finish.
If the similarity is within the threshold range for the first stage collation (YES in step ST2033), screen collation processing unit 103 performs the second stage collation process (step ST204).
In the second-stage collation process (step ST204), similarly to the first-stage collation process (step ST203), the screen collation processing unit 103 sets the second-stage collation area in step ST2041, and in step ST2042 Calculate similarity.
Then, in ST2043, screen collation processing section 103 determines whether or not the similarity is within the range of the second-stage collation threshold.
If the similarity does not fall within the threshold range for the second stage collation (NO in step ST2043), screen collation processing unit 103 transmits a notification message to administrator PC 200 (step ST1023), and ends the collation process. To do.
If the degree of similarity is within the range of the second-stage collation threshold (YES in step ST2043), the process proceeds to step ST1024.
When the process of FIG. 7 ends, the screen matching processing unit 103 may output a result that the update is normal / abnormal as a log file.

FIG. 8 illustrates a collation method example 1 by the screen collation processing unit 103.
In collation method example 1, for screens that display graphs such as electric energy and temperature in real time, screen collation processing unit 103 is displaying graphs such as bar graphs and line graphs that are displayed according to time correctly? Determine.
Specifically, the screen collation processing unit 103 compares the Web page screen data at the previous time with the Web page screen data at the current time, and determines whether or not the location corresponding to the time has changed.
When the similarity of the part corresponding to the time is large, the display is not changed between the Web page screen at the previous time and the Web page screen data at the current time, and the screen matching processing unit 103 is abnormal. judge.
On the other hand, when the degree of similarity is small, since the display changes between the Web page screen data at the previous time and the Web page screen data at the current time, the screen collation processing unit 103 determines that it is normal.
In this case, screen collation processing section 103 sets the display location corresponding to the time as the collation area of the collation area setting of ST2031 or ST2041 in the flowchart of FIG. 7, and whether the similarity is within the threshold in ST2033 or ST2043 It is determined whether the display is normal / abnormal.
For example, when the similarity is 30% and the threshold is 0% or more and 70% or less, the screen matching processing unit 103 determines that the display is normal. On the other hand, when the similarity is 90% with the same threshold, the screen matching processing unit 103 determines that the display is abnormal.
In FIG. 8, a broken line bar graph is a predicted value graph, and a solid line bar graph is a measured value graph.
In the Web page screen data of FIG. 8A, the 9:00 graph is a predicted value.
When the Web page screen data of FIG. 8B is obtained when one hour has elapsed, the 9:00 graph is updated to the actual measurement value. That is, the degree of similarity between the 9:00 graph of FIG. 8A and the 9:00 graph of FIG. 8B is low.
On the other hand, when the Web page screen data of FIG. 8C is obtained when one hour has passed, the graph of 9:00 is not updated with the predicted value. That is, the degree of similarity between the 9:00 graph in FIG. 8A and the 9:00 graph in FIG. 8C is high.

FIG. 9 shows a collation method example 2 by the screen collation processing unit 103.
In the collation method example 2, for a screen that displays a graph such as electric energy and temperature in real time, the screen collation processing unit 103 causes a display abnormality in which a graph is not drawn at all due to data reading failure or an abnormality of the browser 101 of the monitoring PC 100. Is detected.
Specifically, the screen collation processing unit 103 compares the Web page screen data at the previous time with the Web page screen data at the current time, and determines whether a graph is drawn.
When the similarity of the graph part is small, the screen matching processing unit 103 determines that the display is abnormal because it is different from the Web page screen at the previous time and the graph is not displayed at all. In this case, the screen collation processing unit 103 sets the graph part as a collation area for the collation area setting of ST2031 and ST2041 in the flowchart of FIG. 7, and whether the similarity is within the threshold in ST2033 or ST2043 is displayed. Determine whether it is normal / abnormal.
For example, when the similarity is 10% and the threshold value is 70% or more and 100% or less, the screen matching processing unit 103 determines that the display is abnormal. On the other hand, when the similarity is 90% at the same threshold, the screen matching processing unit 103 determines that the display is normal.

The screen matching processing unit 103 may calculate the similarity of the Web page image data set by (similarity) = (number of pixels having different luminance) / (total number of pixels) × 100 (%).
Alternatively, the screen matching processing unit 103 may calculate the similarity by (similarity) = (luminance difference> number of pixels that are threshold values) / (total number of pixels) × 100 (%).
The threshold value may be determined from screen data collected during an arbitrary period.
For example, an abnormal label or a normal label is manually added to each of the Web page screen data collected for one week, and the screen matching processing unit 103 determines a threshold value from a set of the label and the similarity.
Alternatively, the screen matching processing unit 103 may learn the determination model (threshold value) from the feature amount of the screen data acquired at the current time and the data trend, and automatically update the model (threshold value).

  For example, the screen collation processing unit 103 determines whether at least a part of the web page screen data has been updated according to the collation method example 2 in FIG. 9. When at least a part of the web page screen data is updated, the screen collation processing unit 103 determines whether the web page screen data is properly updated according to the collation method example 1 of FIG.

Embodiment 3 FIG.
Also in the present embodiment, the operation procedure described in the first embodiment will be described more specifically.
In the present embodiment, the native application compares the screen shot at the current time with the past screen shot by GUI screen collation. Then, the native application determines whether the GUI screen is normally displayed, and notifies the administrator PC when the display is abnormal.
In the present embodiment, a GUI screen generated by a native application corresponds to an example of drawing data.

*** Explanation of configuration ***
FIG. 10 shows a system configuration example according to the present embodiment.
In the present embodiment, the monitoring PC 110 and the administrator PC 200 are connected via the LAN 40.
The administrator PC 200 and the LAN 40 are the same as those shown in FIG.
That is, the administrator PC 200 corresponds to the notification destination apparatus 20 described in the first embodiment.
In the present embodiment, there is no device corresponding to the Web server 300.
In the present embodiment, the monitoring PC 110 corresponds to the data processing device 10 and the data update device 30 described in the first embodiment.

FIG. 11 shows a configuration example of the monitoring PC 110 according to the present embodiment.
The processor 901, the storage device 902, and the communication device 903 are the same as those described in the first embodiment.

The monitoring PC 100 includes a native application 111, a screen acquisition processing unit 102, and a screen collation processing unit 103 as functional configurations.
The screen acquisition processing unit 102 activates the native application 111, automatically reproduces an operation by sending an event, and captures screen data to be verified.
Further, the screen acquisition processing unit 102 stores the captured screen data in the storage device 902.
For automatic operation reproduction, commercially available or free operation automatic reproduction software may be used.
The screen verification processing unit 103 performs a screen data verification process, and transmits a notification message to the administrator PC 200 if the screen data has not been updated.
In the present embodiment, the screen acquisition processing unit 102 and the screen matching processing unit 103 correspond to the data determination unit 11 and the notification unit 12 described in the embodiment.
The native application 111 corresponds to the data update device 30.
A plurality of native applications 111 may be arranged in the same network and screen verification may be performed simultaneously.
For example, screen collation may be performed simultaneously for PCs having different resolutions, and PCs having different versions of OS (Operating System) and Java (registered trademark).

FIG. 12 is a flowchart showing an operation example of the monitoring PC 100 according to the present embodiment.
ST301 is a process performed by the screen acquisition processing unit 102, and ST302 is a process performed by the screen collation processing unit 103.

First, the screen acquisition processing unit 102 activates the native application 111 (step ST3011).
Next, the screen acquisition processing unit 102 outputs a command such as an event to the native application 111, performs automatic reproduction of the operation, and transitions to screen data to be collated (ST3012, ST3014).
The screen acquisition processing unit 102 performs screen capture with the screen data to be collated (ST3013, ST3015).
The flowchart of FIG. 12 shows an example in which two types of screen data are acquired in a single process.
In the screen capture, the screen acquisition processing unit 102 may acquire screen shot data of the screen data, or may acquire the screen data itself.

Next, screen collation processing section 103 reads screen data acquired in the past from storage device 902, and performs screen collation processing (step ST3021).
If the display is abnormal, that is, if the screen data has not been updated (YES in step ST3022), screen collation processing unit 103 transmits a notification message to administrator PC 200 (step ST3023).
Finally, screen collation processing unit 103 stores the screen data in storage device 902 (step ST3024).

The monitoring PC 100 repeats this series of processing at each screen data update timing in the native application 111.
For example, when the graph or the like is updated every hour in the native application 111, the screen acquisition processing unit 102 and the screen collation processing unit 103 perform the process of FIG. 12 every hour.

In the third embodiment, the flow of the collation process is the same as that in the second embodiment, as shown in the flowchart of FIG.
The collation method, similarity calculation method, and threshold determination method may be the same as those in the first embodiment.
Alternatively, the monitoring PC 100 may calculate the similarity after performing the area enlargement / reduction process as a pre-process when collating screens with different resolutions or screens with different versions of OS or Java (registered trademark). Good.
Alternatively, the monitoring PC 100 may calculate the similarity based on the local feature amount.
For example, the monitoring PC 100 may calculate the similarity of an image set by (similarity) = (number of corresponding points in the local feature amount) / (total number of feature points) × 100 (%).

  In the third embodiment, the monitoring PC 100 detects a display abnormality due to the abnormality of the native application 111 by screen collation for the area of the graph portion in the screen, and if it is abnormal, notifies the administrator PC 200 by e-mail, for example.

Embodiment 4 FIG.
In the present embodiment, a configuration capable of detecting a drawing abnormality or a drawing change point will be described.
*** Explanation of configuration ***
A system configuration example according to the present embodiment is as shown in FIG.
Hereinafter, differences from the first embodiment will be mainly described. Matters not described below are the same as those in the first embodiment.

As in the first embodiment, the data update device 30 updates the drawing content of the drawing data with the passage of time.
More specifically, the data update device 30 updates the drawing content of the drawing data at every predetermined update timing.

In the present embodiment, the data processing apparatus 10 holds model data in the storage device 902. In the model data, an unsteady pattern that is an unsteady drawing pattern in the drawing data is defined. An unsteady pattern is, for example, a drawing time transition in drawing data when a drawing abnormality occurs. In this case, the model data includes, for example, a drawing pattern whose current time value is less than ½ of the previous time value in the graph shown in FIG. A drawing pattern that is twice or more the numerical value of the previous time is defined as an unsteady pattern. Further, an unsteady pattern in which a drawing change point is indicated may be defined in the model data. In this case, in the model data, for example, in a graph as shown in FIG. 8, the current time value is 2/3 or less (however, 1/2 or more) of the value of the previous time. A drawing pattern in which the numerical value of the pattern or the current time is 1.5 times or more (but less than twice) the numerical value of the previous time is defined as an unsteady pattern. Also, drawing data acquired in the past can be used as model data.
The user of the data processing apparatus 10 can arbitrarily define model data and non-stationary patterns.
Note that the above values such as “1/2”, “2/3”, “1.5” times, and “2” times are examples, and the user can arbitrarily define the values used for the unsteady pattern. .

In the present embodiment, in the data processing device 10, the data determination unit 11 compares the model data with the drawing content of the newly acquired data, and whether the drawing content of the newly acquired data matches the unsteady pattern. Determine whether or not. That is, the data determination unit 11 determines whether there is a drawing abnormality or a change in drawing tendency defined in the model data in the drawing data.
In addition, when the data determination unit 11 determines that the drawing content of the newly acquired data matches the non-steady pattern, the notification unit 12 displays the drawing content of the newly acquired data in the notification destination device 20 that is the default notification destination. Notify that it matches an unsteady pattern.

*** Explanation of operation ***
Next, an operation example of the data processing apparatus 10 according to the present embodiment will be described with reference to the flowchart of FIG.
The operation procedure illustrated in FIG. 13 corresponds to an example of a data processing method and a data processing program.

First, in step ST1301, the data determination unit 11 determines whether or not the timing set in advance by the user has arrived.
For example, the data determination unit 11 captures a network command and determines that the timing set by the user has arrived when the network command registered in advance by the user is captured.
When the timing designated by the user has arrived (YES in step ST1301), the data determination unit 11 acquires drawing data from the data update device 30 in step ST1302.
More specifically, the data determination unit 11 generates a drawing data acquisition request destined for the data update device 30 and outputs the generated acquisition request to the communication device 903.
The communication device 903 transmits an acquisition request to the data update device 30 via the LAN 40.
The data update device 30 transmits drawing data to the data processing device 10 via the LAN 40 as a response to the acquisition request.
In the data processing device 10, the communication device 903 receives the drawing data and outputs the received drawing data to the data determination unit 11.
The drawing data acquired in step ST1302 is newly acquired data.

Next, in step ST1303, the data determination unit 11 reads model data from the storage device 902.
Note that the user of the data processing apparatus 10 may define the newly acquired data acquired in step ST1302 at the previous update timing as model data.

Next, in step ST1304, the data determination unit 11 collates newly acquired data with model data.
The drawing data includes an update target area in which the drawing content is updated, and the data determination unit 11 collates the drawing content (unsteady pattern) in the update target area of the model data with the drawing content in the update target area of the newly acquired data. .
Further, the data determination unit 11 collates the drawing contents of the model data with the drawing contents of the newly acquired data, and calculates the similarity between the drawing contents of the model data and the drawing contents of the newly acquired data.

Next, in step ST1305, the data determination unit 11 compares the calculated similarity with a threshold value and determines whether or not the drawing content of the newly acquired data matches the unsteady pattern defined in the model data. . That is, the data determination unit 11 determines whether or not there is a drawing abnormality or a change in drawing tendency in the newly acquired data.
If the similarity is greater than or equal to the threshold, the data determination unit 11 determines that the drawing content of the newly acquired data matches the unsteady pattern defined in the model data.

If it is determined in step ST1305 that the drawing content of the newly acquired data matches the unsteady pattern defined in the model data, in step ST1306, the data determining unit 11 sends the drawing content of the newly acquired data to the notification unit 12. Is in conformity with the unsteady pattern defined in the model data. Then, the notification unit 12 indicates that the drawing content of the newly acquired data matches the non-stationary pattern defined in the model data in the notification destination device 20, that is, the drawing abnormality or the change in the drawing tendency occurs in the newly acquired data. Notify that
More specifically, the notification unit 12 generates a notification message notifying that a drawing abnormality or a change in drawing tendency has occurred in the newly acquired data.
The notification message is, for example, an e-mail message.
Then, the notification unit 12 outputs a notification message to the communication device 903.
The communication device 903 transmits a notification message to the notification destination device 20 via the LAN 40.
Next, in step ST1307, the data determination unit 11 stores newly acquired data in the storage device 902.
As described above, the newly acquired data stored in the storage device 902 here may be read as model data in step S1303 of the next update timing.

*** Explanation of the effect of the embodiment ***
In this embodiment, the drawing contents of the model data defined by the user and the drawing contents of the newly acquired data are collated with respect to the drawing data acquired in the past or the drawing data of the screen assumed when the drawing abnormality or the drawing tendency changes. To do. Then, it is determined whether or not the drawing abnormality or change defined in the model data has occurred in the drawing content of the newly acquired data. For this reason, according to the present embodiment, it is determined whether or not the drawing abnormality or change defined in the model data has occurred in the drawing contents of the drawing data whose drawing contents are updated as time passes. Can do.

*** Explanation of hardware configuration ***
Finally, a supplementary description of the hardware configuration of the data processing apparatus 10, the monitoring PC 100, and the monitoring PC 110 will be given.
The processor 901 is an IC (Integrated Circuit) that performs processing.
The processor 901 is a CPU (Central Processing Unit), a DSP (Digital Signal Processor), or the like.
The storage device 902 includes a RAM (Random Access Memory), a ROM (Read Only Memory), a flash memory, and an HDD (Hard Disk).
Drive) and the like.
The communication device 903 includes a receiver that receives data and a transmitter that transmits data.
The communication device 903 is, for example, a communication chip or a NIC (Network Interface Card).

The storage device 902 also stores an OS (Operating System).
Then, at least a part of the OS is executed by the processor 901.
The processor 901 implements the functions of the data determination unit 11, the notification unit 12, the screen acquisition processing unit 102, and the screen collation processing unit 103 (hereinafter collectively referred to as “unit”) while executing at least a part of the OS. Run the program.
In FIG. 2 and the like, one processor is illustrated, but the data processing device 10, the monitoring PC 100, and the monitoring PC 110 may include a plurality of processors.
In addition, information, data, signal values, and variable values indicating the processing results of “unit” are stored in the storage device 902, a register in the processor 901, or a cache memory.
The program for realizing the function of “unit” may be stored in a portable storage medium such as a magnetic disk, a flexible disk, an optical disk, a compact disk, a Blu-ray (registered trademark) disk, or a DVD.

In addition, “part” may be read as “circuit” or “process” or “procedure” or “processing”.
Further, the data processing device 10, the monitoring PC 100, and the monitoring PC 110 are composed of a logic IC (Integrated Circuit), a GA (Gate Array), an ASIC (Application Specific Integrated Circuit), and an FPGA (Field-Programmable Gate) electronic circuit. May be.
In this case, each “unit” is realized as part of an electronic circuit.
The processor and the electronic circuit are also collectively referred to as a processing circuit.

*** Additional notes ***
As mentioned above, although embodiment of this invention was described, you may implement in combination of 2 or more among these embodiment.
Alternatively, one of these embodiments may be partially implemented.
Alternatively, two or more of these embodiments may be partially combined.
In addition, this invention is not limited to these embodiment, A various change is possible as needed.

  In the first to fourth embodiments, the LAN 40 is described as an example of the network, but a network other than the LAN 40 may be used.

  DESCRIPTION OF SYMBOLS 10 Data processing apparatus, 11 Data determination part, 12 Notification part, 20 Notification destination apparatus, 30 Data update apparatus, 40 LAN, 100 Monitoring PC, 101 Browser, 102 Screen acquisition processing part, 103 Screen collation processing part, 110 For monitoring PC, 111 native application, 200 administrator PC, 300 Web server.

Claims (10)

  1.   The drawing content of past acquired data that is drawing data acquired in the past from the data update device that updates the drawing content of drawing data as time passes, and the newly acquired data that is drawing data newly acquired from the data update device A data processing apparatus having a data determination unit that determines whether or not the drawing content of the newly acquired data is the drawing content updated from the past acquired data.
  2. The data processing device further includes:
    When it is determined by the data determination unit that the drawing content of the newly acquired data is not the drawing content updated from the past acquired data, the drawing content of the newly acquired data is displayed in the past notification destination. The data processing apparatus according to claim 1, further comprising a notification unit that notifies that the drawing content is not updated from the acquired data.
  3. The data update device updates the drawing content of drawing data at each predetermined update timing,
    The data determination unit
    For each update timing, the drawing contents of the past acquisition data acquired from the data update device at the update timing immediately before the current update timing and the newly acquired data newly acquired from the data update device at the current update timing The data processing apparatus according to claim 1, wherein collation is performed with drawing contents.
  4. The data update device updates the drawing content in the update target area in the drawing data,
    The data determination unit
    The data processing device according to claim 1, wherein the drawing content of the update target area of the past acquired data is collated with the drawing content of the update target area of the newly acquired data.
  5. The data determination unit
    The drawing content of the past acquisition data and the drawing content of the new acquisition data are collated to calculate the similarity between the drawing content of the past acquisition data and the drawing content of the new acquisition data, and based on the calculated similarity The data processing apparatus according to claim 1, wherein it is determined whether or not the drawing content of the newly acquired data is a drawing content updated from the past acquired data.
  6. The data determination unit
    The data processing apparatus according to claim 5, wherein the calculated similarity is compared with a threshold value to determine whether or not the drawing content of the newly acquired data is a drawing content updated from the past acquired data.
  7. The data determination unit
    The model data in which a non-stationary pattern that is an unsteady drawing pattern in the drawing data is defined is compared with the drawing content of the newly acquired data, and the drawing content of the newly acquired data matches the unsteady pattern. The data processing apparatus according to claim 1, which determines whether or not.
  8. The data processing device further includes:
    When the data determination unit determines that the drawing content of the newly acquired data matches the non-stationary pattern, the default notification destination is notified that the drawing content of the newly acquired data matches the non-stationary pattern. The data processing device according to claim 7, further comprising a notification unit that performs the notification.
  9.   The drawing content of past acquired data, which is drawing data acquired in the past from the data update device that updates the drawing content of drawing data as time passes, and the drawing data newly acquired from the data update device A data processing method for collating the drawing contents of the newly acquired data and determining whether or not the drawing contents of the newly acquired data is the drawing contents updated from the past acquired data.
  10.   The drawing content of past acquired data that is drawing data acquired in the past from the data update device that updates the drawing content of drawing data as time passes, and the newly acquired data that is drawing data newly acquired from the data update device A data processing program for causing a computer to execute a data determination process for determining whether or not the drawing content of the newly acquired data is the drawing content updated from the past acquired data.
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