KR20130007414A - Data comparision equipment, data comparision method, control program and recording medium - Google Patents

Data comparision equipment, data comparision method, control program and recording medium Download PDF

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KR20130007414A
KR20130007414A KR1020120049490A KR20120049490A KR20130007414A KR 20130007414 A KR20130007414 A KR 20130007414A KR 1020120049490 A KR1020120049490 A KR 1020120049490A KR 20120049490 A KR20120049490 A KR 20120049490A KR 20130007414 A KR20130007414 A KR 20130007414A
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data
time
time series
series data
graph
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KR1020120049490A
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Korean (ko)
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야스아키 나카지마
카즈아키 우에다
히로시 사이토
신이치 무카이가와
카츠미 오하시
야스히로 츠츠미
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오므론 가부시키가이샤
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/20—Drawing from basic elements, e.g. lines or circles
    • G06T11/206—Drawing of charts or graphs
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Debugging And Monitoring (AREA)
  • General Factory Administration (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

PURPOSE: A data comparison device, a data comparison method, a control program and a recording medium are provided to easily fit a plurality of time series data in an arbitrary reference point. CONSTITUTION: A data obtainment means(21) obtains one or more physical quantities for a device and one or more time series data. A data extraction means(24) extracts a lot of part time series data from the time series data. A graph describing means(26) plots the physical quantity included in the part time series data and makes a comparison graph describing a plurality of series. An input means receives user input. A time shift means(28) shifts an elapsed time of the part time series data. [Reference numerals] (1) Data analysis device; (11) Control means; (12) Memory means; (13) Communication means; (14) Display means; (15) Operation means; (21) Data obtainment means; (22) Data generation means; (23) Data selection means; (24) Data extraction means; (25) Elapsed time assigning means; (26) Graph describing means; (27) Display control means; (28) Shift means

Description

Data comparison device, data comparison method, control program and recording medium {DATA COMPARISION EQUIPMENT, DATA COMPARISION METHOD, CONTROL PROGRAM AND RECORDING MEDIUM}

The present invention relates to a data comparison device, a data comparison method, a control program, and a recording medium for comparing time series data of physical quantities of a production apparatus.

Conventionally, time-series data (e.g., time-series data of power consumption, etc.) of physical quantities of a production apparatus are acquired, and energy savings such as improvement of productivity and reduction of power consumption are achieved based on analysis of the time-series data. It is done.

For example, in Patent Documents 1 to 4, the time series data of the amount of power is compared with the pattern waveform for each cycle time (operation unit, original unit, etc.), and the difference with the pattern waveform is detected, and the detection result is detected. On the basis of this, it is described that the reduction in productivity and the waste of power consumption are specified.

Japanese Patent Laid-Open No. 2010-250381 (released November 4, 2010) Japanese Patent Application Laid-Open No. 2010-250382 (released November 4, 2010) Japanese Patent Application Laid-Open No. 2010-250383 (released November 4, 2010) Japanese Patent Application Laid-Open No. 2010-250384 (released November 4, 2010)

However, the conventional technique as described above has a problem that it is difficult to automatically and accurately extract cycle time from time series data.

Specifically, since the time series data of the physical quantity of the production equipment varies depending on the installed environment (temperature, humidity, etc.) or the timing even when the same production is produced on the same equipment, the parameters ( Pattern waveforms, intervals, etc.) is difficult to properly set. Therefore, the cycle time may not be extracted correctly.

In addition, even if the cycle time can be extracted, when the periodicity is not maintained in the cycle time, even if the reference point for comparison can be apparently determined, the reference point may not be automatically specified. Therefore, the extracted plurality of cycle times may not be matched with the reference point and may not be compared. As a result, it may not be possible to extract improvements such as differences from the pattern waveform.

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and an object thereof is to realize a data comparison device, a data comparison method, a control program, and a recording medium that can easily fit a plurality of time series data at an arbitrary reference point on a graph. Is in.

In order to solve the above problems, the data comparison device according to the present invention includes data acquisition means for acquiring one or a plurality of time series data associated with a physical quantity of a device and a measurement time of measuring the physical quantity, and the data acquiring means includes: Data extraction means for extracting a plurality of partial time series data which is data of a predetermined period included in the time series data from the acquired one or a plurality of time series data, and for each of the plurality of partial time series data extracted by the data extraction means; The elapsed time calculating means calculates the elapsed time calculating means for respectively calculating the elapsed time from a predetermined reference time for each measurement time included in the partial time series data, and the elapsed time calculating means calculates a single graph based on the elapsed time. A plurality of partial time series extracted by the data extraction means based on one elapsed time; Graph creation means for plotting a physical quantity included in the data, respectively, to create a comparison graph and drawing a plurality of series, input means for accepting an operation instruction from a user, and a comparison graph input to the input means. And a time shifting means for shifting the elapsed time of the partial time series data representing the series on the comparison graph based on an operation instruction for moving the predetermined series of images in the elapsed time axis direction, wherein the graph creating means includes the time shifting. Based on the elapsed time shifted by the means, the physical graph included in the partial time series data representing the series is plotted to draw the series to update the comparison graph.

Moreover, in order to solve the said subject, the data comparison method of this invention is a data acquisition step of acquiring one or more time-series data with which the physical quantity of the apparatus and the measurement time which measured the said physical quantity were correlated, and the said data acquisition A data extraction step of extracting a plurality of partial time series data which is data of a predetermined period included in the time series data from one or a plurality of time series data acquired in the step; An elapsed time calculation step of calculating an elapsed time from a predetermined reference time for each measurement time included in the time series data, and the elapsed time calculation step calculated on the single graph with the elapsed time as an axis. A plurality of partial clocks extracted in the data extraction step based on elapsed time A graph creation step of creating a comparison graph in which a plurality of series are drawn by plotting physical quantities included in the data, an input step of accepting an operation instruction from a user, and a predetermined series on the comparison graph inputted in the input step A time shift step of shifting the elapsed time of the partial time series data representing the series on the comparison graph and the elapsed time shifted in the time shift step, based on an operation instruction for moving the direction in the elapsed time axis direction. And a graph updating step of plotting the physical quantity included in the partial time series data representing the graph to draw the series to update the comparison graph.

According to the above-described configuration, the graph generating means is configured to convert the partial time series data extracted from one or a plurality of time series data to the partial time series data based on the elapsed time corresponding to each measurement time included in the partial time series data, respectively. Plot the physical quantities involved to create a comparison graph. The time shifting means moves the predetermined series on the comparison graph in the elapsed time axis direction. The elapsed time of the partial time series data representing the series on the comparison graph is shifted based on an operation instruction from the user. The graph generating means plots the physical quantity included in the partial time series data indicating the series based on the elapsed time shifted by the time shifting means, draws the series, and updates the comparison graph.

The elapsed time is a difference time from a predetermined reference time to each measurement time included in the partial time series data. Therefore, since the graph creation means creates the comparison graph with this elapsed time as the axis, the measurement time and the measurement while maintaining the time width of each measurement time included in the partial time series data for each partial time series data. Multiple partial time series data having different intervals can be drawn on a single graph. That is, it is possible to draw on a single graph while maintaining the waveform pattern of each series corresponding to each partial time series data.

Since the said time shifting means shifts the elapsed time of the partial time series data which shows the said series on the said comparison graph based on the operation instruction which moves a predetermined series on a comparison graph, the said graph preparation means shows the said series. While maintaining the time width of the elapsed time of the partial time series data, the physical quantity contained in the partial time series data representing the series can be plotted based on the shifted elapsed time. That is, the graph generating means can move the sequence in the time axis direction while maintaining the waveform pattern of the sequence in which the user has instructed the movement.

Therefore, even if the time series data of which reference points, such as a start time and a cycle time, shift | deviate, is shifted in the elapsed time axis direction on a comparison graph, a plurality of time series data can be matched at arbitrary reference points. Thus, there is an effect that a plurality of time series data can be compared easily.

Moreover, the data comparison apparatus which concerns on this invention is further equipped with the display control means which displays the graph which the said graph creation means created, and the said display means, when the said input means receives the operation instruction which selects the predetermined | prescribed series on a comparison graph. It is preferable that a control means displays the measurement time corresponding to the physical quantity of the partial time series data which shows the said series plotted on the said comparison graph based on the said operation instruction.

According to the above configuration, when the user selects a predetermined series on the comparison graph, the display control means displays the measurement time corresponding to the physical quantity of the partial time series data indicating the selected series. In the comparison graph, since each series is drawn with the elapsed time as an axis, even if each series moves in the elapsed time axis direction, only the elapsed time is shifted, and in each partial time series data, the physical quantity and measurement time The correspondence with is maintained.

Therefore, for example, even when an abnormality of the waveform pattern of the predetermined series is found by moving each series, by selecting the predetermined series, the time at which the physical quantity of the abnormal position of the waveform pattern is measured, That is, the time at which an abnormality occurred can be known correctly.

Furthermore, the data comparison apparatus according to the present invention further includes data generating means for generating new time series data from one or a plurality of time series data acquired by the data obtaining means, wherein the data extracting means includes: It is preferable to extract a plurality of partial time series data from the obtained time series data and / or the time series data generated by said data generating means.

According to the above configuration, the data generating means generates new time series data from one or a plurality of time series data acquired by the data obtaining means, and the data extracting means includes time series data and / or acquired by the data obtaining means. A plurality of partial time series data is extracted from the time series data generated by the said data generating means. Therefore, not only the time series data acquired by the said data acquisition means but also the new time series data produced | generated from the acquired time series data can be compared and included.

The data comparison device may be realized by a computer. In this case, by operating the computer as each means of the data comparison device, a control program for realizing the data comparison device by a computer and recording the same. Computer-readable recording media also fall within the scope of the present invention.

As described above, the data comparison device according to the present invention includes data acquisition means for acquiring one or more time series data associated with a physical quantity of a device and a measurement time of measuring the physical quantity, and one acquired by the data acquiring means or Data measurement means for extracting a plurality of partial time series data which is data of a predetermined period included in the time series data from the plurality of time series data, and each measurement included in the partial time series data for each of the plurality of partial time series data extracted by the data extraction means On the basis of the elapsed time calculating means for calculating the elapsed time from the predetermined reference time with respect to time and the elapsed time calculated by the elapsed time calculating means on a single graph with the elapsed time as the axis, Physical quantities included in the plurality of partial time series data extracted by the data extraction means Graph creation means for plotting a plurality of series and plotting a plurality of series respectively, an input means for receiving an operation instruction from a user, and a predetermined series on the comparison graph input to the input means are moved in the elapsed time axis direction. And a time shifting means for shifting the elapsed time of the partial time series data representing the series on the comparison graph, based on an operation instruction to make, wherein the graph generating means is based on the elapsed time shifted by the time shifting means, The physical quantity included in the partial time series data representing the series is plotted to draw the series to update the comparison graph.

In addition, the data comparison method according to the present invention includes a data acquisition step of acquiring one or more time series data associated with a physical quantity of a device and a measurement time of measuring the physical quantity, and one or more acquired in the data acquisition step. Measurement included in the partial time series data for each data extraction step of extracting a plurality of partial time series data which is data of a predetermined period included in the time series data, and for each of the plurality of partial time series data extracted in the data extraction step. On the basis of the elapsed time calculated in the elapsed time calculating step on the elapsed time calculating step of calculating the elapsed time from a predetermined reference time with respect to time and the elapsed time as the axis, Physical quantities included in the plurality of partial time series data extracted in the data extraction step Are plotted in order to create a comparison graph in which a plurality of series are drawn, an input step for accepting an operation instruction from the user, and a predetermined series on the comparison graph input in the input step in the elapsed time axis direction. Based on the operation instruction to move, the time shift step which shifts the elapsed time of the partial time series data which shows the said series on the said comparison graph, and the partial time series data which shows the said series based on the elapsed time shifted by the said time shift step. And a graph updating step of updating the comparison graph by drawing the series by plotting the physical quantities included in the graph.

Therefore, even if the time series data of which reference points, such as a start time and a cycle time, shift | deviate, is shifted in the elapsed time axis direction on a comparison graph, a plurality of time series data can be matched at arbitrary reference points. Thus, there is an effect that a plurality of time series data can be compared easily.

BRIEF DESCRIPTION OF THE DRAWINGS The block diagram which shows embodiment of this invention, and shows the structure of the principal part of a data analysis apparatus.
2 is a diagram showing an outline of a data analysis system according to an embodiment of the present invention.
3 is a diagram illustrating an example of time series data acquired by the data analysis device.
4 is a diagram showing an example of partial time series data extracted from the time series data;
Fig. 5 is a diagram showing an example of elapsed time data in which elapsed time is given to the partial time series data.
6 is a diagram illustrating an example of elapsed time data in which an elapsed time is shifted.
FIG. 7 is a diagram illustrating an example of comparison graph creation processing executed by the data analysis device; FIG.
8 is a diagram schematically illustrating a comparison graph creation process using a screen displayed on a display unit of the data analysis device.
9 is a diagram schematically illustrating a comparison graph creation process using a screen displayed on a display unit of the data analysis device.
10 is a diagram illustrating an example of a sequence movement process executed by the data analysis device.
FIG. 11 is a diagram illustrating a screen example displayed on a display unit at the time of sequence movement processing. FIG.
12 is a diagram illustrating an example of a comparison graph.
It is a figure which shows the example of a screen displayed on a display part at the time of the enlargement reduction process of a comparison graph.
14 is a diagram illustrating a screen example displayed on the display unit in the sequence selection process of the comparison graph.
Fig. 15 is a diagram showing a screen example displayed on the display unit during the series replacement processing of the comparison graph.
Fig. 16 is a diagram showing a screen example displayed on the display unit at the time of switching processing for each graph type of the comparison graph.
17 is a diagram illustrating a screen example displayed on the display unit at the time of the period change processing of the comparison graph.

An embodiment of the present invention will be described below with reference to FIGS. 1 to 17.

[Configuration of Data Analysis System]

First, a data analysis system including a data analysis device (data comparison device) according to the present invention will be described with reference to FIG. 2. 2 is a diagram illustrating an outline of the data analysis system 6.

As shown in FIG. 2, the data analysis system 6 includes the data analysis device 1, the data collection devices 2a and 2b, the sensor devices 3a to 3e, the press 4a, the washing machine 4b, It includes the molding machine 4c, the compressor 4d, and the compressor 4e.

The sensor devices 3a to 3e are connected to the press 4a, the washing machine 4b, the molding machine 4c, the compressor 4d, and the compressor 4e, respectively. In addition, the data collection device 2a is connected to the sensor devices 3a, 3b and 3c, and the data collection device 2b is connected to the sensor devices 3d and 3e. In addition, the data analysis device 1 is connected to the data collection devices 2a and 2b via the network 5.

The press 4a, the washing machine 4b, the molding machine 4c, the compressor 4d, and the compressor 4e are installed in a factory or the like, and are used to produce a predetermined product, or to produce a predetermined product. This device is used. Hereinafter, the apparatus which produced the predetermined | prescribed manufacture, or the apparatus used for producing a predetermined manufacture is called generically and a production apparatus. In addition, the press 4a, the washing | cleaning machine 4b, the shaping | molding machine 4c, the compressor 4d, and the compressor 4e are named generically as a production machine (apparatus 4).

The sensor devices 3a to 3e measure the temporal change of a predetermined physical quantity such as the amount of power consumed (power amount) of the production apparatus 4 continuously or at regular intervals. In the following, when the sensor devices 3a to 3e are not distinguished, they are collectively referred to as the sensor device 3. The physical quantity measured by the sensor apparatus 3 is not limited to the amount of power consumption, for example, the air flow rate of the compressors 4d and 4e, the amount of material input into the molding machine 4c, or the amount of product generated from the molding machine, Alternatively, the temperature, humidity, vibration or pressure of the production apparatus 4 may be used. The sensor device 3 outputs the measured time series data of the predetermined physical quantity to the data collection devices 2a and 2b.

The sensor device 3 outputs time series data as shown in FIG. 3, for example. In the example shown in FIG. 3, the power consumption amount of the production apparatus 4 and the measurement time which measured the power consumption amount are corresponded. That is, time series data is data which shows the temporal change of the physical quantity of the production apparatus 4. As shown in FIG. In the example shown in FIG. 3, although the sensor apparatus 3 measures the power consumption of the production apparatus 4 every minute, it is not limited to this. For example, the measurement unit (measurement interval) of the sensor device 3 may be 10 minutes, may be a second unit, may be a time unit, or may be a daily unit.

In addition, in the example shown in FIG. 2, although one sensor apparatus 3 measures the physical quantity of one production apparatus 4, it is not limited to this. One sensor device 3 may measure the physical quantities of the plurality of production apparatuses 4. In addition, the sensor device 3 may measure one type of physical quantity (for example, power consumption only) from one production device 4, and may provide a plurality of types of physical quantities (for example, power consumption and air flow rate). ) May be measured.

The data collection devices 2a and 2b collect time series data measured by the sensor device 3 from the connected sensor device 3, and collect the collected time series data on the data analysis device 1 in the network 5. To transmit via. In the following, when the data collection devices 2a and 2b are not distinguished, they are collectively referred to as the data collection device 2. The data collection device 2 and the sensor device 3 may be connected by wired communication means or wireless communication means.

The data collection device 2 may collect time series data from the sensor device 3 every measurement of the sensor device 3 or every predetermined time. For example, when the sensor device 3 measures the amount of power consumed every minute, the data collection device 2 may collect the amount of power consumed from the sensor device 3 every minute. In addition, the data collection device 2 may collect the power consumption amount from the sensor device 3 every 10 minutes. In this case, the data collection device 2 collects time series data of the amount of power consumption measured by the sensor device 3 for 10 minutes every 10 minutes. In addition, in this embodiment, it is assumed that the data collection device 2 collects time series data from the sensor device 3 at each measurement time of the sensor device 3.

In addition, in the example shown in FIG. 2, although the data collection apparatus 2a is connected with three sensor apparatuses 3, and the data collection apparatus 2b is connected with two sensor apparatuses 3, it is limited to this. It is not. The data collection device 2 may be connected to at least one sensor device 3.

The data analysis device 1 acquires one or a plurality of time series data from the data collection device 2 and compares the various time series data of the production device 4 and extracts from the acquired one or more time series data. Plot the data on a single graph to create a comparison graph. In addition, the data analysis apparatus 1 can move a predetermined series on the created comparison graph in the time axis direction, and match each series on the comparison graph at an arbitrary reference point.

Here, data extracted from one or a plurality of time series data acquired by the data analysis device 1 is called partial time series data. That is, the partial time series data is part or all of the acquired time series data.

The comparison graph is, for example, drawing each partial time series data (each series) into a line graph, a cumulative graph, a bar graph, and the like. The data analysis apparatus 1 prepares a comparison graph, making time into an X axis and making Y-axis into a physical quantity. There may be plural kinds of physical quantities on the Y-axis. That is, time series data (partial time series data) having different physical quantities can be plotted on a single graph.

The data analysis device 1 is realized by, for example, a PC. The structure and function of the data analysis apparatus 1 are mentioned later in detail.

In addition, in the example shown in FIG. 2, although the data analysis apparatus 1 is connected with the two data collection apparatus 2, it is not limited to this. The data analysis apparatus 1 should just be connected with the at least 1 data collection apparatus 2.

In addition, in the example shown in FIG. 2, the data analysis system 6 includes one data analysis device 1, two data collection devices 2, five sensor devices 3, and five production devices 4. ), But is not limited to this. The data analysis system 6 should just contain the data analysis apparatus 1, the data collection apparatus 2, the sensor apparatus 3, and the production apparatus 4, respectively.

[Configuration of Data Analysis Device]

1 is a block diagram illustrating an example of a configuration of a main part of the data analysis device 1. As shown in FIG. 1, the data analysis device 1 includes a control unit 11, a storage unit 12, a communication unit 13, a display unit 14, and an operation unit (input unit) 15. In addition, although the data analysis apparatus 1 may be equipped with members, such as an audio | voice input part and an audio | voice output part, since it has nothing to do with the characteristic point of invention, it does not show the said member.

The communication unit 13 communicates with other devices such as the data collection device 2 by wireless communication means or wired communication means, and exchanges data according to the instruction of the control unit 11. For example, the communication unit 13 acquires time series data from the data collection device 2 according to the instruction of the control unit 11.

In addition, when exchanging data between the data analysis device 1 and the data collection device 2 by using a storage device such as an SD card or a universal serial bus (USB) memory, the communication unit 13 includes a USB port. It is supposed to function as an input / output interface.

The display unit 14 displays an image according to the instruction of the control unit 11. The display part 14 should just display an image according to the instruction | indication of the control part 11, For example, it is possible to apply LCD (liquid crystal display), an organic electroluminescent display, a plasma display, etc.

The operation unit 15 is for a user to input an instruction signal to the data analysis device 1 to operate the data analysis device 1. The operation part 15 may be comprised with input devices, such as a keyboard, a mouse, a keypad, and operation buttons. Moreover, the touch panel in which the operation part 15 and the display part 14 are integrated may be sufficient. The operation unit 15 may be a remote control device such as a remote controller separate from the data analysis device 1.

The control unit 11 performs various operations by executing a program read from the storage unit 12 to a temporary storage unit (not shown), and is provided by the image processing apparatus 1. It is to control each part collectively.

In the present embodiment, the control unit 11 is a function block that includes a data acquisition unit (data acquisition unit) 21, a data generation unit (data generation unit) 22, a data selection unit 23, and a data extraction unit ( Data extracting means) 24, elapsed time giving portion (elapsed time calculating means) 25, graph generating portion (graph generating means) 26, display control portion (display control means) 27 and time shifting portion (time A shift means). Each of the functional blocks 21 to 27 of these control units 11 stores a program stored in a memory device in which a central processing unit (CPU) is realized as a read only memory (ROM) or the like. This can be realized by reading and executing the temporary storage unit realized by the system.

The data acquisition unit 21 acquires time series data from the data collection device 2 via the communication unit 13. The data acquisition unit 21 outputs the acquired time series data to the data selection unit 23 and the display control unit 27. The data acquisition unit 21 may output the acquired time series data to the data generation unit 22.

The data acquisition unit 21 acquires time series data for each type of time series data. For example, the time-series data (power time-series data A) of the power consumption amount of the press 4a, the time-series data (power time-series data B), and the molding machine of the power consumption amount of the washing machine 4b. When time series data (power time series data C) of the amount of power consumption of (4c) is stored, the data acquisition unit 21 supplies power time series data A and power time series data B from the data collection device 2a. ) And power time series data C, respectively.

Moreover, the data acquisition part 21 acquires time-series data for every measurement of the sensor apparatus 3, or every predetermined time. At this time, the data acquisition unit 21 may change the acquisition interval for each type of time series data. In addition, the data acquisition unit 21 may acquire predetermined time series data from the data collection device 2 based on a user's instruction, that is, an instruction signal from the operation unit 15. In the present embodiment, the data acquisition unit 21 acquires time series data from the data collection device 2 at each measurement time of the sensor device 3.

The data generation unit 22 newly generates time series data from a plurality of types of time series data acquired by the data acquisition unit 21. For example, when the data acquisition unit 21 acquires time series data of power consumption of the compressor 4d and time series data of air flow rate, the data generation unit 22 stores time series data of air flow rate in time series of power consumption. The data may be divided to generate time series data of the output efficiency of the compressor 4d. Moreover, the data acquisition part 21 is time series data (power time series data A) of the power consumption amount of the press 4a, time series data (power time series data B) of the power consumption amount of the washing machine 4b, and the shaping | molding machine 4c. When time series data (power time series data (C)) of power consumption is acquired, the data generation unit 22 sums up the power time series data (A), power time series data (B), and power time series data (C). Time series data of total power consumption may be generated.

The data generation unit 22 may automatically generate new time series data based on a predetermined rule, or may generate new time series data based on a user's instruction. The data generation unit 22 outputs the generated new time series data to the data selection unit 23 and the display control unit 27.

The data selector 23 selects time series data to be added to the comparison graph from the time series data acquired by the data acquisition unit 21 and / or the time series data generated by the data generator 22 based on a user's instruction. It is. The data selector 23 also adds time series data, which is added to the comparison graph, from the time series data acquired by the data acquisition unit 21 and / or the time series data generated by the data generator 22 according to a predetermined rule. You may select it. The data selection unit 23 notifies the data extraction unit 24 and the display control unit 27 of the selected time series data.

The data extraction unit 24 specifies a predetermined period of time series data selected by the data selection unit 23 based on a user's instruction, and extracts partial time series data that is a predetermined period of the specific time series data. The data extracting unit 24 may specify a predetermined period of time series data selected by the data selecting unit 23 according to a predetermined rule, and extract the partial time series data.

For example, when the time series data selected by the data selecting unit 23 is time series data shown in FIG. 3, and the user designates a period of "1 January 2011 to 1:59" on January 1, 2011, The data extraction unit 24 extracts the partial time series data shown in FIG. 4 from the time series data shown in FIG. The data extraction unit 24 outputs the extracted partial time series data to the elapsed time providing unit 25.

The elapsed time providing unit 25 generates the elapsed time data by giving the elapsed time to the partial time series data for each partial time series data extracted by the data extraction unit 24. Specifically, the elapsed time providing unit 25 sets the time (leading time) at the head of the partial time series data as the reference time, and the time elapsed from the reference time with respect to the measurement time included in the partial time series data. Time), an elapsed time corresponding to each measurement time of the partial time series data is given, respectively, and the elapsed time data is generated from the partial time series data. For example, the elapsed time providing unit 25 gives the elapsed time to the partial time series data shown in FIG. 4 to generate the elapsed time data shown in FIG. 5. The elapsed time providing unit 25 outputs the generated elapsed time data to the graph preparation unit 26.

The reference time is not limited to the head time of the partial time series data, but may be any time. That is, the elapsed time may be calculated as the difference between the measurement time and the reference time included in the partial time series data (elapsed time = measurement time-reference time).

The graph preparation unit 26 creates a comparison graph in which the X axis is the elapsed time and the Y axis is the physical quantity based on the elapsed time data generated by the elapsed time granting unit 25. Here, when there are a plurality of elapsed time data, the graph preparation unit 26 plots a plurality of elapsed time data on one comparison graph.

The display control unit 27 receives time series data from the data acquisition unit 21 and / or the data generation unit 22, and causes the display unit 14 to display a list for each type of received time series data. In this state, the user operates the operation unit 15 to select predetermined time series data.

When the display control unit 27 receives a notification indicating the time series data selected from the data selection unit 23, the display control unit 27 displays the time series data selected by the data selection unit 23. Specifically, for example, the display control unit 27 displays the time series data selected by the data selection unit 23 as a graph with the X axis as the measurement time and the Y axis as the physical quantity. Alternatively, the display control unit 27 displays the time series data selected by the data selection unit 23 as a table showing the correspondence relationship between the measurement time (time) and the physical quantity (value). In the state where the time series data selected by the data selection unit 23 is displayed, the user operates the operation unit 15 to designate a predetermined period from the displayed time series data.

The display control unit 27 causes the display unit 14 to display the comparison graph created by the graph creating unit 26.

The time shift unit 28 updates the elapsed time data by shifting the elapsed time of the elapsed time data stored by the graph generator 26 based on a user's instruction. The time shift unit 28 outputs the elapsed time data after the shift in which the elapsed time is shifted to the graph preparation unit 26. For example, the time shift unit 28 shifts the elapsed time of the elapsed time data shown in FIG. 5 by "+10 minutes" and updates it with the elapsed time data shown in FIG.

When the graph preparation unit 26 acquires the updated elapsed time data from the time shifting unit 28, the graph preparation unit 26 updates the comparison graph based on the updated elapsed time data. And the display control part 27 causes the display part 14 to display the comparison graph which the graph preparation part 26 updated.

The memory | storage part 12 stores the program, data, etc. which the control part 11 references. For example, time series data acquired by the data acquisition unit 21, time series data generated by the data generation unit 22, partial time series data extracted by the data extraction unit 24, and elapsed time generated by the elapsed time granting unit 25 You may store time data, the comparison graph which the graph preparation part 26 created, the elapsed time data which the time shift part 28 shifted the elapsed time, etc.

[Comparison Graphing Process]

Next, the comparison graph creation process performed by the data analysis device 1 will be described based on FIG. 7. FIG. 7: is a figure which shows an example of the comparison graph preparation process which the data analysis apparatus 1 performs. Here, as shown in FIG. 8, three partial time series data Da0, Db0, and Dc0 are extracted from some time series data D, and a comparison graph is created. 8 is a diagram schematically showing a comparison graph creation process using a screen displayed on the display unit 14.

As shown in FIG. 7, first, the data acquisition unit 21 acquires time series data from the data collection device 2 via the communication unit 13 (S1). Then, the display control unit 27 causes the display unit 14 to display a list according to the type of time series data acquired by the data acquisition unit 21.

When the user operates the operation unit 15 and selects the predetermined time series data D while the list by the type of the time series data is displayed on the display unit 14, the data selection unit 23 selects the user. Time series data D is specified as time series data added to a comparison graph (S2). Then, the display control unit 27 indicates that the data selection unit 23 is in a state in which the specific time series data D (that is, the time series data D selected by the user) is selected as time series data added to the comparison graph. (14). In this case, when time series data added to the comparison graph is selected, as shown in FIG. 8, the display control unit 27 selects the time series data D selected by the data selection unit 23, and measures the X axis, the measurement time, and the Y axis. It shall be displayed as a graph as a physical quantity.

In the state where the selected time series data D is displayed as a graph, first, it is assumed that the user designates the period of "July 22 06:40 to 10:50" from the time series data D here. At this time, the data extraction unit 24 extracts the partial time series data Da0 of the period of "July 22 06:40 to 10:50" from the time series data D selected by the data selection unit 23. (S3).

Next, the elapsed time providing unit 25 gives the elapsed time to the partial time series data Da0 extracted by the data extraction unit 24 to generate the elapsed time data Da1 (S4). And the graph preparation part 26 plots the elapsed time data Da1 which the elapsed time giver 25 produced | generated on the graph which makes an elapsed time the X axis | shaft and a physical quantity the Y axis | shaft, and produces | generates a comparison graph (S5). ). The display control unit 27 causes the display unit 14 to display the comparison graph created by the graph creating unit 26 (S6).

In the state where the comparison graph is displayed on the display unit 14, the user inputs an instruction to add partial time series data of different periods of the same time series data D to the comparison graph (NO in S7). Based on this input instruction, the data selector 23 specifies the time series data D as time series data to add to the comparison graph (S2). And the display control part 27 displays time-series data D as a graph.

In the state where the time series data D is displayed as a graph, it is assumed that the user next specifies the period of "July 18 06:30 to 10:45" from the time series data D. FIG. At this time, the data extraction part 24 extracts partial time series data Db0 of the period of "July 18 06:30-10:45" from time series data D (S3).

Next, the elapsed time providing unit 25 gives the elapsed time to the partial time series data Db0 extracted by the data extraction unit 24 to generate the elapsed time data Db1 (S4). Then, the graph preparation unit 26 plots the elapsed time data Db1 again on the comparison graph on which the elapsed time data Da1 is plotted (S5). The display control unit 27 causes the display unit 14 to display the comparison graph on which the elapsed time data Da1 and Db1 created by the graph creating unit 26 are plotted (S6).

With the comparison graph on which the elapsed time data Da1 and Db1 are plotted displayed on the display unit 14, the user inputs an instruction to add partial time series data of different periods of the same time series data D to the comparison graph. (NO in S7). Based on this input instruction, the data selector 23 specifies the time series data D as time series data to add to the comparison graph (S2). And the display control part 27 displays time-series data D as a graph.

In the state where the time series data D is displayed as a graph, it is assumed that the user next specifies the period of "July 15 06:45 to 10:50" from the time series data D. FIG. At this time, the data extraction part 24 extracts partial time series data Dc0 of the period of "July 15 06: 45-10: 50" from time series data D (S3).

Next, the elapsed time providing unit 25 gives the elapsed time to the partial time series data Dc0 extracted by the data extraction unit 24 to generate the elapsed time data Dc1 (S4). Then, the graph preparation unit 26 plots the elapsed time data Dc1 again on the comparison graph on which the elapsed time data Da1 and Db1 are plotted to create a comparison graph (S5). The display control unit 27 causes the display unit 14 to display the comparison graph on which the elapsed time data Da1, Db1, and Dc1 generated by the graph creating unit 26 are plotted (S6).

In the state where the comparison graph on which the elapsed time data Da1, Db1, and Dc1 are plotted is displayed on the display unit 14, the user inputs a creation completion instruction of the comparison graph (YES in S7), and the data analysis device 1 ) Ends the comparison graph creation process.

In the processing example shown in FIG. 7, the data selection unit 23 selects predetermined time series data from the time series data acquired by the data acquisition unit 21, but is not limited thereto. For example, the data selector 23 may select predetermined time series data from the time series data generated by the data generator 22.

In addition, in the example of a process shown in FIG. 7, after S1, although the display control part 27 displays the list according to the type of time series data, it is not limited to this. For example, the display control unit 27 may display the time series data acquired by the data acquisition unit 21 on the display unit 14 as one or a plurality of graphs. In this case, the user selects one of the series on the displayed graph, and the data selector 23 specifies the time series data corresponding to the series selected by the user as time series data for adding to the comparison graph.

In the processing example shown in FIG. 7, each time the user specifies the partial time series data, a comparison graph is created and displayed, but the present invention is not limited thereto. For example, a user may designate a plurality of partial time series data at a time, and create and display a comparison graph in which a plurality of pieces of elapsed time data are plotted based on the specified plurality of partial time series data.

Further, in the above-described processing example, although the user designates an arbitrary period (that is, irregularly designates a period) from the same time series data D, the present invention is not limited to this, and a plurality of partial time series are regularly generated from the time series data. Data may be extracted. For example, as shown in FIG. 9, even if a user designates the starting point and period of time series data D, and extracts some partial time series data from the time series data D based on the designated starting point and period. good. In the example shown in FIG. 9, the user designates the starting point as "July 17 00:00" and the period as "1 day (00:00 to 23:59)", and the data extraction unit 24. From the time series data D, partial time series data Dd0 of a period of "July 16 00:00 to 23:59" and partial time series data of a period of "July 15 00:00 to 23:59" (De0) and partial time series data Df0 in the period of "00:00 to 23:59 on July 14" are extracted.

In the above-described processing example, the partial time series data is extracted from the same time series data D, but the present invention is not limited to this, and the partial time series data may be extracted from the plurality of time series data, respectively.

[Series movement processing]

Next, the sequence movement processing executed by the data analysis device 1 will be described based on FIG. 10. FIG. 10: is a figure which shows an example of the sequence | movement movement process which the data analysis apparatus 1 performs. Here, as shown in FIG. 11, five elapsed time data E1, F1, G1, H1, I1 are plotted, and correspond to five elapsed time data E1, F1, G1, H1, I1. It is assumed that five series (E2, F2, G2, H2, I2) are drawn on the comparison graph. 11 is a diagram illustrating a screen example displayed on the display unit 14 during the sequence movement process.

In the state where the comparison graph is displayed as shown in FIG. 11A, the time shift unit 28 waits for the user to select any one series on the comparison graph. That is, the time shift part 28 waits for the instruction signal which selects a predetermined sequence from the operation part 15 to be transmitted (S11).

Here, as shown in Fig. 11 (b), it is assumed that the user has selected the series E2. At this time, the time shift unit 28 receives an instruction signal for selecting the series E2 from the operation unit 15 (YES in S11) and displays that the elapsed time data E1 corresponding to the series E2 has been selected. The control unit 27 is notified. When the display control unit 27 receives a notification indicating that the elapsed time data E1 is selected, for example, the display control unit 27 changes the broken line graph of the elapsed time data E1 to a solid line, for example, and the elapsed time. The user is notified that the data E1 is currently being selected.

In the state in which the elapsed time data E1 is being selected, the time shift unit 28 waits for the user to input an operation for moving the selected series E2 in the elapsed time axis direction. That is, the time shift part 28 waits for the instruction signal which moves the selection series E2 to the elapsed time-axis direction from the operation part 15 (S12).

Here, as shown in FIG. 11 (b), it is assumed that the user has performed an operation of shifting the series E2 in the elapsed time axis direction. At this time, the time shift unit 28 receives an instruction signal for moving the series E2 in the elapsed time axis direction from the operation unit 15 (YES in S12), and corresponds to the graph creating unit 26. Elapsed time of Elapsed time data E1 supported by) is shifted to create elapsed time data E1 '(S13).

The time shift unit 28 outputs the elapsed time data E1 ′ after the created shift to the graph generator 26. And the graph preparation part 26 produces | generates a comparison graph based on the elapsed time data E1 'which the time shift part 28 created, and the elapsed time data F1, G1, H1, I1 which it saves. do. The display control unit 27 causes the display unit 14 to display the comparison graph created by the graph creating unit 26 (S14).

In operation S12, the operation of shifting the sequence E2 in the elapsed time axis direction by the user is, for example, clicking and dragging the sequence E2 in the elapsed time axis direction.

In addition, in S11, when the predetermined series is selected, the display control unit 27 may display the measurement time of the physical quantity included in the elapsed time data corresponding to the selected series based on the elapsed time data. In the example shown to FIG. 11B, the measurement time corresponding to the physical quantity of series E2 is displayed in the upper part of a comparison graph. In this case, the user may move the sequence by clicking the axis of the measurement time and moving the measurement time in the axial direction.

As described above, each elapsed time is shifted by shifting the time of each data of the elapsed time data E1 to I1 based on an instruction to move the sequences E2 to I2 as described above. Time data can be ordered at any reference point. Therefore, the physical quantity contained in each elapsed time data can be compared easily.

Specifically, as shown in FIG. 12, by matching each series at a predetermined reference point, it is possible to easily and accurately determine that a series differs from other series and waveform patterns with respect to a certain series. For example, in the example shown in FIG. 12, the difference in the waveform pattern is shown between each series at the start time, lunch time, end time, and the like. Based on this difference, a predetermined series, i.e., an abnormality in the physical quantity of the predetermined production device 4 can be found.

[Graph display example]

Next, the display processing of the comparison graph executed by the data analysis device 1 will be described based on FIGS. 13 to 17. FIG. 13 is a diagram illustrating a screen example displayed on the display unit 14 during the enlargement and reduction process of the comparison graph. 14 is a diagram illustrating a screen example displayed on the display unit 14 during the sequence selection process of the comparison graph. FIG. 15 is a diagram illustrating a screen example displayed on the display unit 14 during the sequence replacement process of the comparison graph. FIG. 16 is a diagram illustrating a screen example displayed on the display unit 14 at the time of switching processing for each graph type of the comparison graph. 17 is a diagram illustrating a screen example displayed on the display unit 14 at the time of the period change processing of the comparison graph.

First, an example of enlargement and reduction processing of the comparison graph will be described based on FIG. 13. In a state where the comparison graph shown in FIG. 13A is displayed, when the user selects a predetermined range and performs an operation in which the range is enlarged, the display control unit 27 returns to FIG. 13B. As shown in the drawing, the time axis of the range designated by the user is enlarged and displayed. By this operation, the user can determine the change of the detailed physical quantity of each series.

Next, based on FIG. 14, an example of the series selection process of a comparison graph is demonstrated. As shown in Fig. 14A, it is assumed that four series L2, M2, N2, and O2 are displayed on the comparison graph. In this state, the user clicks the check boxes of the series N2 and O2 and removes the check. At this time, as shown in FIG. 14B, the display control unit 27 plots only the series L2 and M2 on the comparison graph, and sets the series N2 and O2 to non-display. In this way, the series added once on the comparison graph can be displayed / not displayed in series units.

Next, based on FIG. 15, an example of the series replacement process of a comparison graph is demonstrated. As shown in Fig. 15A, it is assumed that two series P2 and Q2 are displayed on the comparison graph as a cumulative graph in the order of series P2 and Q2 from above. In this state, it is assumed that the user has performed an operation of switching the sequence numbers of the series P2 and Q2. At this time, as shown in FIG.15 (b), the display control part 27 draws a cumulative graph in order of series Q2, P2 from the top, and displays a comparative graph. In this way, when each series is drawn on the comparison graph in the cumulative graph, the order of the series can be reversed.

Next, based on FIG. 16, an example of the conversion process for each graph type of a comparison graph is demonstrated. As shown in Fig. 16A, it is assumed that four series R2, S2, T2, and U2 are displayed on the comparison graph in a cumulative graph. In this state, it is assumed that the user has performed an operation of switching the type of graph. For example, when the type of graph is switched to the line graph, as shown in Fig. 16B, the display control unit 27 is each of the series R2, S2, T2 and U2. Draw on the comparison graph with a line graph. In addition, when switching by type of graph into the pie graph, as shown to FIG. 16 (c), the display control part 27 circles each series R2, S2, T2, and U2, respectively. Draw on the graph.

And when switching to the pie graph, the ratio of the total value of the physical quantity in the predetermined period of each elapsed time data which calculates the total value of the physical quantity of all the elapsed time data in a predetermined period as a parameter is calculated, respectively. .

Finally, based on FIG. 17, an example of the period change process of a comparison graph is demonstrated. As shown in Fig. 17A, it is assumed that four series V2, W2, X2, and Y2 are displayed on the comparison graph in a cumulative graph. In addition, the elapsed time data V1, W1, X1, and Y1 corresponding to four series V2, W2, X2, and Y2 are data which shows the change of the physical quantity every 10 minutes. That is, the partial time series data V0, W0, X0, and Y0, which are the basic data of the elapsed time data V1, W1, X1, and Y1, are referred to as data representing the change in the physical quantity measured every 10 minutes.

In this state, it is assumed that the user has performed an operation of changing the measurement cycle from "10 minutes" to "1 hour." At this time, the graph preparation unit 26 adds the elapsed time data V1, W1, X1, and Y1 every one hour, and generates elapsed time data indicating the total physical amount for each hour. For example, the values of six physical quantities from 0 minutes to 50 minutes of elapsed time are summed up to the physical quantity of 0 hours of elapsed time, and the total values of six physical quantities from 60 minutes to 110 minutes of elapsed time are added up to elapsed time 1 Let it be physical quantity of time. The display control unit 27 is based on the elapsed time data indicating the total physical quantity for each hour newly generated by the graph generator 26, as shown in FIG. 17B, and the four series V2, W2, X2 and Y2) are drawn on the comparison graph.

[supplement]

This invention is not limited to the above-mentioned embodiment, Various changes are possible in the range shown to the claim. That is, embodiment obtained by combining the technical means suitably changed in the range shown to the claim is also included in the technical scope of this invention.

Finally, each block of the data analysis device 1, in particular, the control unit 11 may be configured by hardware logic, or may be realized by software using a CPU as follows.

That is, the data analysis device 1 includes a central processing unit (CPU) for executing instructions of a control program for realizing each function, a read only memory (ROM) containing the program, and a random access RAM (RAM) for expanding the program. memory), a storage device (recording medium) such as a memory for storing the program and various data, and the like. An object of the present invention is to provide a computer-readable recording medium on which a program code (executable program, intermediate code program, source program) of a control program of the data analysis device 1, which is software for realizing the above-described functions, is recorded. This can be achieved by supplying the data analyzing apparatus 1 and reading and executing the program code recorded in the recording medium by the computer (or CPU or MPU).

As the recording medium, for example, a tape system such as a magnetic tape or a cassette tape, a magnetic disk such as a floppy disk (registered trademark) disk / hard disk or an optical disk such as CD-ROM / MO / MD / DVD / CD-R A disk system, a card system such as an IC card (including a memory card) / optical card, or a semiconductor memory system such as a mask ROM / EPROM / EEPROM / flash ROM.

The data analysis device 1 may be configured to be connectable with a communication network, and the program code may be supplied via a communication network. The communication network is not particularly limited, and for example, the Internet, intranet, extranet, LAN, ISDN, VAN, CATV communication network, virtual private network, telephone line network, mobile communication network, satellite communication network, etc. can be used. Do. In addition, the transmission medium constituting the communication network is not particularly limited, and may be, for example, an infrared ray such as IrDA or a remote control, such as an IEEE 1394, a USB, a power line carrier, a cable TV line, a telephone line, an ADSL line. Registered trademarks), 802.11 wireless, HDR, cellular telephone networks, satellite lines, and terrestrial digital networks. The invention can also be realized in the form of a computer data signal embedded in a carrier wave, on which the program code is embodied by electronic transmission.

This invention can be used for the apparatus which analyzes and analyzes the physical quantity of a production apparatus.

1: data analysis device (data comparison device)
2: data acquisition device
3: sensor device
4: Production Equipment
6: data analysis system
11:
12: memory
14: display unit
15: operation unit (input means)
21: data acquisition unit (data acquisition means)
22: data generation unit (data generation means)
23: data selector
24: data extraction unit (data extraction means)
25: elapsed time grant unit (elapsed time calculation means)
26: graph creation unit (graph creation means)
27: display control unit (display control unit)
28: time shift portion (time shift means)

Claims (5)

Data acquisition means for acquiring one or a plurality of time series data associated with a physical quantity of the device and a measurement time of measuring the physical quantity;
Data extraction means for extracting a plurality of partial time series data which is data of a predetermined period included in time series data from one or a plurality of time series data acquired by said data obtaining means;
Elapsed time calculating means for calculating elapsed time from a predetermined reference time for each measurement time included in the partial time series data for each of the plurality of partial time series data extracted by the data extracting means;
Based on the elapsed time calculated by the elapsed time calculating means, a physical quantity included in the plurality of partial time series data extracted by the data extracting means is plotted on a single graph with the elapsed time as an axis, and a plurality of series are plotted. Graph creation means for creating a drawn comparison graph,
Input means for receiving operation instructions from a user,
And a time shifting means for shifting the elapsed time of the partial time series data representing the series on the comparison graph based on an operation instruction for moving the predetermined series on the comparison graph in the elapsed time axis direction, input to the input means,
The graph generating means plots the physical quantity included in the partial time series data representing the series based on the elapsed time shifted by the time shifting means, draws the series, and updates the comparison graph. . The method of claim 1,
Further comprising display control means for displaying a graph created by the graph creating means,
When the input means receives an operation instruction for selecting a predetermined series on the comparison graph, the display control means is based on the physical quantity of partial time series data indicating the series plotted on the comparison graph based on the operation instruction. And a corresponding measurement time. 3. The method according to claim 1 or 2,
Further comprising data generating means for generating new time series data from one or a plurality of time series data acquired by said data obtaining means,
And said data extracting means extracts a plurality of partial time series data from time series data acquired by said data acquiring means and / or time series data generated by said data generating means. A data acquisition step of acquiring one or more time series data to which the physical quantity of the device and the measurement time of measuring the physical quantity are associated;
A data extraction step of extracting a plurality of partial time series data which is data of a predetermined period included in the time series data from one or a plurality of time series data acquired in the data acquisition step;
An elapsed time calculating step of calculating elapsed time from a predetermined reference time for each measurement time included in the partial time series data for each of the plurality of partial time series data extracted in the data extraction step;
Based on the elapsed time calculated in the elapsed time calculating step, a physical quantity included in the plurality of partial time series data extracted in the data extracting step is plotted on a single graph with the elapsed time as the axis, and a plurality of series A graphing step for creating a comparison graph that draws the
An input step of accepting operation instructions from a user,
A time shift step of shifting the elapsed time of the partial time series data representing the series on the comparison graph based on an operation instruction for moving the predetermined series on the comparison graph in the elapsed time axis direction inputted at the input step;
And a graph updating step of plotting the series to update the comparison graph based on the elapsed time shifted in the time shift step, and plotting the physical quantities included in the partial time series data representing the series. . A control program for operating the data comparison device according to claim 1 or 2, wherein the computer-readable recording medium has recorded a control program for causing the computer to function as the respective means.
KR1020120049490A 2011-06-24 2012-05-10 Data comparision equipment, data comparision method, control program and recording medium KR20130007414A (en)

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