JP2013008234A - Data comparison device, data comparison method, control program, and recording medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To facilitate adjustment of a plurality of time series data at an arbitrary reference point on a graph.SOLUTION: A comparison graph is created in which partial time series data extracted from time series data is plotted on the basis of lapse time. Based on the instruction to move a predetermined series on the comparison graph in a lapse time axis direction from a user, the lapse time of the partial time series data corresponding to the series is shifted and based on the shifted elapsed time, the partial time series data is plotted to update the comparison graph.

Description

  The present invention relates to a data comparison device, a data comparison method, a control program, and a recording medium that compare time-series data of physical quantities of production equipment.

  Conventionally, time series data of physical quantities of production equipment (for example, time series data of power consumption) is acquired, and energy saving such as improvement of productivity and reduction of power consumption is performed based on the analysis of this time series data. Things are going on.

  For example, in Patent Documents 1 to 4, the time series data of the electric energy is compared with the pattern waveform for each cycle time (operation unit, basic unit, etc.), the difference from the pattern waveform is detected, and the detection result It is described that productivity reduction and waste of power consumption are specified based on the above.

JP 2010-250381 A (published November 4, 2010) JP 2010-250382 A (released on November 4, 2010) JP 2010-250383 A (released on November 4, 2010) JP 2010-250384 A (released on November 4, 2010)

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

  Specifically, time-series data of physical quantities of production equipment varies depending on the installed environment (temperature, humidity, etc.) and time even when producing the same product with the same equipment. It is difficult to appropriately set parameters (pattern waveform, interval, etc.) in order to extract the cycle time. Therefore, the cycle time may not be extracted correctly.

  Even if the cycle time can be extracted, if the periodicity is not maintained in the cycle time, the reference point can be automatically specified even if the reference point for comparison can be judged visually. There are cases where it is not possible. Therefore, the extracted plurality of cycle times cannot be matched at the reference point and may not be compared. Therefore, there are cases where it is impossible to extract improvement points such as differences from the pattern waveform.

  The present invention has been made in view of the above problems, and an object of the present invention is to provide a data comparison device and a data comparison method capable of easily combining a plurality of time-series data at arbitrary reference points on a graph. It is to realize a control program and a recording medium.

  In order to solve the above problems, the data comparison device according to the present invention acquires one or a plurality of time-series data in which a physical quantity of a device is associated with a measurement time at which the physical quantity is measured, Data extracting means for extracting a plurality of partial time series data that is data of a predetermined period included in the time series data from one or a plurality of time series data acquired by the data acquisition means, and a plurality of data extracted by the data extraction means For each partial time series data, an elapsed time calculation means for calculating an elapsed time from a predetermined reference time for each measurement time included in the partial time series data, and a single graph with the elapsed time as an axis In addition, based on the elapsed time calculated by the elapsed time calculation means, the physical quantities included in the plurality of partial time series data extracted by the data extraction means are respectively set. A graph creation means for creating a comparison graph in which a plurality of series is drawn, an input means for receiving an operation instruction from a user, and a predetermined series on the comparison graph input to the input means as an elapsed time axis A time shift unit that shifts the elapsed time of the partial time series data indicating the series on the comparison graph based on an operation instruction to move in the direction, and the graph creation unit includes a process in which the time shift unit has shifted. Based on time, the physical quantity contained in the partial time series data indicating the series is plotted, the series is drawn, and the comparison graph is updated.

  Further, in order to solve the above-described problem, the data comparison method according to the present invention acquires one or a plurality of time-series data in which a physical quantity of a device is associated with a measurement time when the physical quantity is measured. A data extraction step for extracting a plurality of partial time-series data that are 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, and an extraction in the data extraction step For each of the plurality of partial time-series data, an elapsed time calculation step for calculating an elapsed time from a predetermined reference time for each measurement time included in the partial time-series data, and a single unit with the elapsed time as an axis. On one graph, based on the elapsed time calculated in the elapsed time calculating step, the data extracting step A graph creation step for creating a comparison graph in which physical quantities contained in a plurality of partial time-series data extracted in this way are respectively plotted to draw a plurality of series, an input step for receiving an operation instruction from a user, and the input step Based on the input operation instruction to move the predetermined series on the comparison graph in the elapsed time axis direction, a time shift step for shifting the elapsed time of the partial time series data indicating the series on the comparison graph; A graph updating step of plotting physical quantities included in the partial time series data indicating the series based on the elapsed time shifted in the time shift step, drawing the series, and updating a comparison graph. .

  According to said structure, the said graph preparation means is based on the elapsed time respectively corresponding to each measurement time contained in the partial time series data by extracting a plurality of partial time series data extracted from one or a plurality of time series data. A comparative graph is created by plotting the physical quantities contained in the partial time series data. Further, the time shift means is configured to calculate an elapsed time of the partial time series data indicating the series on the comparison graph based on an operation instruction from a user that moves a predetermined series on the comparison graph in the elapsed time axis direction. Based on the elapsed time shifted by the time shift means, the graph creating means plots the physical quantity included in the partial time series data indicating the series, 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 the elapsed time as an axis, for each partial time series data, while maintaining the time width of each measurement time included in the partial time series data, A plurality of partial time series data having different measurement 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.

  The time shifting means shifts the elapsed time of the partial time series data indicating the series on the comparison graph based on an operation instruction to move a predetermined series on the comparison graph. While maintaining the time width of the elapsed time of the partial time series data indicating the series, the physical quantity included in the partial time series data indicating the series can be plotted based on the shifted elapsed time, and the series can be drawn. . That is, the graph creating means can move the series in the time axis direction while maintaining the waveform pattern of the series that the user has instructed to move.

  Therefore, even for time-series data where reference points such as rise time and cycle time are shifted, the user can move a plurality of time-series data at any reference point by moving in the elapsed time axis direction on the comparison graph. Can be matched. Therefore, there is an effect that a plurality of time series data can be easily compared.

  The data comparison apparatus according to the present invention further includes a display control unit that displays the graph created by the graph creation unit, and when the input unit receives an operation instruction to select a predetermined series on the comparison graph, The display control means preferably displays the measurement time corresponding to the physical quantity of the partial time series data indicating the series plotted on the comparison graph based on the operation instruction.

  According to said structure, the said display control means will display the measurement time corresponding to the physical quantity of the partial time series data which shows the selected series, if a user selects the predetermined series on the said comparison graph. In the comparison graph, each series is drawn with the elapsed time as an axis, so even if each series moves in the elapsed time axis direction, the elapsed time is only shifted, and each partial time series data is Thus, the correspondence between the physical quantity and the measurement time remains maintained.

  Therefore, for example, even when a waveform pattern abnormality of a predetermined series is found by moving each series, by selecting the predetermined series, the time at which the physical quantity of the abnormal part of the waveform pattern is measured, That is, it is possible to accurately know the time when the abnormality occurred.

  The data comparison apparatus according to the present invention further includes data generation means for generating new time series data from one or a plurality of time series data acquired by the data acquisition means, wherein the data extraction means includes the data It is preferable to extract a plurality of partial time-series data from the time-series data acquired by the acquisition means and / or the time-series data generated by the data generation means.

  According to the above configuration, the data generation unit generates new time series data from one or a plurality of time series data acquired by the data acquisition unit, and the data extraction unit acquires the data extraction unit. A plurality of partial time series data is extracted from the time series data and / or the time series data generated by the data generation means. Therefore, not only the time series data acquired by the data acquisition means but also new time series data generated from the acquired time series data can be compared.

  The data comparison device may be realized by a computer. In this case, a control program for causing the data comparison device to be realized by a computer by causing the computer to operate as each unit of the data comparison device, and A computer-readable recording medium on which it is recorded also falls within the scope of the present invention.

  As described above, the data comparison apparatus according to the present invention includes a data acquisition unit that acquires one or a plurality of time-series data in which a physical quantity of a device is associated with a measurement time when the physical quantity is measured, and the data acquisition Data extracting means for extracting a plurality of partial time series data that is data of a predetermined period included in the time series data from one or a plurality of time series data acquired by the means, and a plurality of partial time series extracted by the data extracting means For each data, for each measurement time included in the partial time series data, elapsed time calculating means for calculating the elapsed time from a predetermined reference time, and a single graph with the elapsed time as an axis, the above Based on the elapsed time calculated by the elapsed time calculation means, the physical quantities contained in the plurality of partial time series data extracted by the data extraction means are plotted and duplicated. A graph creation means for creating a comparison graph in which a series of images is drawn, an input means for receiving an operation instruction from a user, and an operation for moving a predetermined series on the comparison graph in the elapsed time axis direction input to the input means. A time shift means for shifting the elapsed time of the partial time series data indicating the series on the comparison graph based on the instruction, the graph creating means is based on the elapsed time shifted by the time shift means, The physical quantity contained in the partial time series data indicating the series is plotted, the series is drawn, and the comparison graph is updated.

  The data comparison method according to the present invention includes a data acquisition step of acquiring one or a plurality of time series data in which a physical quantity of a device and a measurement time at which the physical quantity is measured are associated with each other, and acquisition in the data acquisition step. A data extraction step of extracting a plurality of partial time series data that is data of a predetermined period included in the time series data from the one or a plurality of time series data, and a plurality of partial time series data extracted in the data extraction step For each measurement time included in the partial time series data, an elapsed time calculating step for calculating an elapsed time from a predetermined reference time, and the elapsed time on a single graph with the elapsed time as an axis. A plurality of parts extracted in the data extraction step based on the elapsed time calculated in the time calculation step A graph creation step for creating a comparison graph in which a plurality of series are drawn by plotting the physical quantities included in the series data, an input step for receiving an operation instruction from the user, and an input on the comparison graph input in the input step Based on an operation instruction to move a predetermined sequence in the elapsed time axis direction, a time shift step for shifting the elapsed time of the partial time series data indicating the sequence on the comparison graph, and the progress shifted in the time shift step A graph updating step of plotting the physical quantity included in the partial time series data indicating the series based on the time, drawing the series, and updating the comparison graph.

  Therefore, even for time-series data where reference points such as rise time and cycle time are shifted, the user can move a plurality of time-series data at any reference point by moving in the elapsed time axis direction on the comparison graph. Can be matched. Therefore, there is an effect that a plurality of time series data can be easily compared.

1, showing an embodiment of the present invention, is a block diagram illustrating a configuration of a main part of a data analysis apparatus. FIG. It is a figure which shows the outline | summary of the data analysis system which concerns on embodiment of this invention. It is a figure which shows an example of the time series data which the said data analyzer acquires. It is a figure which shows an example of the partial time series data extracted from the said time series data. It is a figure which shows an example of the elapsed time data which provided elapsed time to the said partial time series data. It is a figure which shows an example of the elapsed time data into which elapsed time was shifted. It is a figure which shows an example of the comparison graph preparation process which the said data analyzer performs. It is a figure which shows typically a comparison graph preparation process using the screen displayed on the display part of the said data analyzer. It is a figure which shows typically a comparison graph preparation process using the screen displayed on the display part of the said data analyzer. It is a figure which shows an example of the series movement process which the said data analyzer performs. It is a figure which shows the example of a screen displayed on a display part at the time of a series movement process. It is a figure which shows 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 expansion / contraction process 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 series selection process 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 series replacement process 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 graph classification switching process 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 period change process of a comparison graph.

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

[Data analysis system configuration]
First, a data analysis system including a data analysis apparatus (data comparison apparatus) according to the present invention will be described with reference to FIG. FIG. 2 is a diagram showing an outline of the data analysis system 6.

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

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

  The press machine 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 for producing a predetermined product or a predetermined product. It is equipment used for. Hereinafter, devices that produce a predetermined product or devices that are used to produce a predetermined product are collectively referred to as production devices. Further, the press machine 4a, the washing machine 4b, the molding machine 4c, the compressor 4d, and the compressor 4e are collectively referred to as production equipment (equipment) 4.

  The sensor devices 3a to 3e measure a temporal change of a predetermined physical quantity such as the power consumption (power consumption) of the production equipment 4 continuously or discontinuously at a predetermined interval. Hereinafter, 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 device 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 to the molding machine 4c, or the amount of product generated from the molding machine, or The temperature, humidity, vibration or pressure of the production equipment 4 may be used. The sensor device 3 outputs time-series data of the measured 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 illustrated in FIG. 3, the power consumption amount of the production device 4 is associated with the measurement time when the power consumption amount is measured. That is, the time-series data is data indicating a temporal change in the physical quantity of the production device 4. In the example shown in FIG. 3, the sensor device 3 measures the power consumption of the production device 4 every minute, but is not limited thereto. For example, the measurement unit (measurement interval) of the sensor device 3 may be 10 minutes, seconds, hours, or days.

  In the example shown in FIG. 2, one sensor device 3 measures the physical quantity of one production device 4. However, the present invention is not limited to this. One sensor device 3 may measure physical quantities of a plurality of production devices 4. Further, the sensor device 3 may measure one type of physical quantity (for example, only the power consumption amount) from one production device 4, or may measure a plurality of types of physical quantities (for example, power consumption amount and air flow rate). May be.

  The data collection devices 2a and 2b collect time-series data measured by the sensor device 3 from the connected sensor device 3, and transmit the collected time-series data to the data analysis device 1 via the network 5. is there. Hereinafter, 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 only need to 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 by the sensor device 3 or every predetermined time. For example, when the sensor device 3 measures the power consumption amount every minute, the data collection device 2 may collect the power consumption amount from the sensor device 3 every minute. Further, 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 power consumption measured by the sensor device 3 during the 10 minutes every 10 minutes. In the present embodiment, it is assumed that the data collection device 2 collects time-series data from the sensor device 3 at every measurement time of the sensor device 3.

  In the example shown in FIG. 2, the data collection device 2a is connected to the three sensor devices 3 and the data collection device 2b is connected to the two sensor devices 3. However, the present invention is not limited to this. The data collection device 2 only needs to be connected to at least one sensor device 3.

  In order to compare various time series data of the production equipment 4, the data analysis device 1 acquires one or more time series data from the data collection device 2, and extracts a plurality of time series data extracted from the acquired one or more time series data. Data is plotted on a single graph to create a comparison graph. Further, the data analysis apparatus 1 can move a predetermined series on the created comparison graph in the time axis direction so that each series on the comparison graph matches 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 referred to as partial time series data. That is, the partial time series data is a part or all of the acquired time series data.

  For example, the comparison graph is obtained by drawing each partial time series data (each series) as a line graph, a stacked graph, a bar graph, or the like. The data analysis apparatus 1 creates a comparison graph with time as the X axis and the Y axis as a physical quantity. There may be a plurality of types 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 apparatus 1 is realized by, for example, a PC. Details of the configuration and function of the data analysis apparatus 1 will be described later.

  In the example illustrated in FIG. 2, the data analysis device 1 is connected to the two data collection devices 2, but is not limited thereto. The data analysis device 1 only needs to be connected to at least one data collection device 2.

  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. However, the present invention is not limited to this. Absent. The data analysis system 6 may include at least one of the data analysis device 1, the data collection device 2, the sensor device 3, and the production equipment 4.

[Configuration of data analyzer]
FIG. 1 is a block diagram illustrating an example of a main configuration of the data analysis apparatus 1. As shown in FIG. 1, the data analysis apparatus 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. The data analysis device 1 may include members such as a voice input unit and a voice output unit, but these members are not shown because they are not related to the feature points of the invention.

  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 instructions from the control unit 11. For example, the communication unit 13 acquires time series data from the data collection device 2 in accordance with an instruction from the control unit 11.

  When data is exchanged between the data analysis device 1 and the data collection device 2 using a storage device such as an SD card or a USB (Universal Serial Bus) memory, the communication unit 13 is connected to an USB port or the like. It shall function as an output interface.

  The display unit 14 displays an image in accordance with an instruction from the control unit 11. The display unit 14 only needs to display an image in accordance with an instruction from the control unit 11, and for example, an LCD (liquid crystal display), an organic EL display, a plasma display, or the like can be applied.

  The operation unit 15 is for the user to input an instruction signal to the data analysis apparatus 1 and operate the data analysis apparatus 1. The operation unit 15 may be configured with input devices such as a keyboard, a mouse, a keypad, and operation buttons. Further, a touch panel in which the operation unit 15 and the display unit 14 are integrated may be used. 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 comprehensively controls each unit included in the image processing apparatus 1. is there.

  In this embodiment, the control unit 11 includes, as function blocks, a data acquisition unit (data acquisition unit) 21, a data generation unit (data generation unit) 22, a data selection unit 23, a data extraction unit (data extraction unit) 24, a progress The time-providing unit (elapsed time calculating unit) 25, the graph creating unit (graph creating unit) 26, the display control unit (display control unit) 27, and the time shift unit (time shift unit) 28 are provided. Each functional block (21 to 27) of the control unit 11 includes a CPU (central processing unit) that stores a program stored in a storage device realized by a ROM (read only memory) or the like (RAM (random access memory)). This can be realized by reading out and executing the temporary storage unit realized by the above.

  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 data collection device 2a uses the time series data (power time series data A) of the power consumption of the press 4a, the time series data (power time series data B) of the power consumption of the washing machine 4b, and the consumption of the molding machine 4c. When the time series data of the electric energy (power time series data C) is held, the data acquisition unit 21 receives the power time series data A, the power time series data B, and the power time series data C from the data collection device 2a. get.

  The data acquisition unit 21 acquires time-series data for each measurement by the sensor device 3 or for each predetermined time. At this time, the data acquisition unit 21 may change the acquisition interval for each type of time-series data. The data acquisition unit 21 may acquire predetermined time series data from the data collection device 2 based on a user 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 the time series data of the power consumption amount of the compressor 4d and the time series data of the air flow rate, the data generation unit 22 converts the time series data of the air flow rate into the time series of the power consumption amount. Dividing by data may generate time series data of the output efficiency of the compressor 4d. In addition, the data acquisition unit 21 uses time series data (power time series data A) of power consumption of the press 4a, time series data (power time series data B) of power consumption of the washing machine 4b, and consumption of the molding machine 4c. When the time series data of the electric energy (power time series data C) is acquired, the data generation unit 22 sums up the power time series data A, the power time series data B, and the power time series data C. Data 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 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 selection unit 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 generation unit 22 based on a user instruction. To do. In addition, the data selection unit 23 sets predetermined 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 generation unit 22. You may choose according to. 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 the time series data selected by the data selection unit 23 based on a user instruction, and extracts partial time series data that is a predetermined period of the specified time series data To do. Further, the data extraction unit 24 may specify a predetermined period of the time series data selected by the data selection 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 selection unit 23 is the time-series data shown in FIG. 3 and the user designates a period of “from January 1, 2011 to 1:00 to 2:59”, 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 giving unit 25.

  The elapsed time adding unit 25 generates elapsed time data by adding an 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 giving unit 25 uses the start time (start time) of the partial time series data as a reference time, and the time (elapsed from the reference time) with respect to the measurement time included in the partial time series data ( Elapsed time) is calculated, elapsed time corresponding to each measurement time of the partial time series data is assigned, and elapsed time data is generated from the partial time series data. For example, the elapsed time giving unit 25 gives the elapsed time to the partial time series data shown in FIG. 4 and generates the elapsed time data shown in FIG. The elapsed time giving unit 25 outputs the generated elapsed time data to the graph creating unit 26.

  The reference time is not limited to the start time of the partial time series data, and may be an arbitrary time. That is, the elapsed time may be calculated as a difference between the measurement time included in the partial time series data and the reference time (elapsed time = measurement time−reference time).

  The graph creation unit 26 creates a comparison graph with the X axis as the elapsed time and the Y axis as a physical quantity based on the elapsed time data generated by the elapsed time giving unit 25. Here, when there are a plurality of elapsed time data, the graph creating unit 26 plots the 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 of types of the 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 the 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 in a table showing the correspondence between the measurement time (time) and the physical quantity (numerical value). In a 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 creation unit 26.

  The time shift unit 28 shifts the elapsed time of the elapsed time data held by the graph creating unit 26 based on a user instruction, and updates the elapsed time data. The time shift unit 28 outputs the elapsed time data after the shift, in which the elapsed time is shifted, to the graph creating unit 26. For example, the time shift unit 28 shifts the elapsed time of the elapsed time data illustrated in FIG. 5 by “+10 minutes” and updates the elapsed time data illustrated in FIG. 6.

  When the graph creation unit 26 acquires the updated elapsed time data from the time shift unit 28, the graph creation unit 26 updates the comparison graph based on the updated elapsed time data. Then, the display control unit 27 causes the display unit 14 to display the comparison graph updated by the graph creation unit 26.

  The storage unit 12 stores programs, data, and the like referred to by the control unit 11. 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, elapsed time data generated by the elapsed time granting unit 25, graph creation The comparison graph created by the unit 26 and the elapsed time data obtained by shifting the elapsed time by the time shift unit 28 may be stored.

[Comparison graph creation process]
Next, comparison graph creation processing executed by the data analysis apparatus 1 will be described with reference to FIG. FIG. 7 is a diagram illustrating an example of comparison graph creation processing executed by the data analysis apparatus 1. Here, as shown in FIG. 8, three partial time-series data Da0, Db0, and Dc0 are extracted from a certain time-series data D, and a comparison graph is created. FIG. 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 of time series data types acquired by the data acquisition unit 21.

  When the user operates the operation unit 15 and selects the predetermined time-series data D in a state where the list of time-series data types is displayed on the display unit 14, the data selection unit 23 displays the time selected by the user. The series data D is specified as time series data to be added to the comparison graph (S2). The display control unit 27 indicates that the time series data D specified by the data selection unit 23 (that is, the time series data D selected by the user) is selected as the time series data to be added to the comparison graph. It is displayed on the display unit 14. Here, when the time series data to be added to the comparison graph is selected, as shown in FIG. 8, the display control unit 27 displays the time series data D selected by the data selection unit 23, the X axis as the measurement time, and Y The axis is displayed as a physical quantity as a graph.

  In the state where the selected time series data D is displayed as a graph, it is assumed here that the user has designated a period of “July 22 06:40 to 10:50” from the time series data D. At this time, the data extraction unit 24 extracts the partial time series data Da0 for the period “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 giving unit 25 gives the elapsed time to the partial time series data Da0 extracted by the data extracting unit 24 to generate the elapsed time data Da1 (S4). Then, the graph creation unit 26 creates a comparison graph by plotting the elapsed time data Da1 generated by the elapsed time giving unit 25 on a graph with the elapsed time as the X axis and the physical quantity as the Y axis (S5). The display control unit 27 causes the display unit 14 to display the comparison graph created by the graph creation unit 26 (S6).

  With the comparison graph displayed on the display unit 14, the user inputs an instruction to add partial time series data of another period of the same time series data D to the comparison graph (NO in S7). Based on this input instruction, the data selection unit 23 specifies the time series data D as time series data to be added to the comparison graph (S2). Then, the display control unit 27 displays the time series data D as a graph.

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

  Next, the elapsed time giving unit 25 gives the elapsed time to the partial time series data Db0 extracted by the data extracting unit 24 to generate the elapsed time data Db1 (S4). Then, the graph creation unit 26 creates a comparison graph by further plotting the elapsed time data Db1 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 a comparison graph in which the elapsed time data Da1 and Db1 created by the graph creation unit 26 are plotted (S6).

  In a state where the comparison graph in which the elapsed time data Da1 and Db1 are plotted is displayed on the display unit 14, the user inputs an instruction to add partial time series data of another period of the same time series data D to the comparison graph. (NO in S7). Based on this input instruction, the data selection unit 23 specifies the time series data D as time series data to be added to the comparison graph (S2). Then, the display control unit 27 displays the time series data D as a graph.

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

  Next, the elapsed time giving unit 25 gives the elapsed time to the partial time series data Dc0 extracted by the data extracting unit 24 to generate the elapsed time data Dc1 (S4). Then, the graph creation unit 26 creates a comparison graph by further plotting the elapsed time data Dc1 on the comparison graph on which the elapsed time data Da1 and Db1 are plotted (S5). The display control unit 27 causes the display unit 14 to display a comparison graph in which the elapsed time data Da1, Db1, and Dc1 created by the graph creation unit 26 are plotted (S6).

  With the comparison graph in which the elapsed time data Da1, Db1, and Dc1 are plotted displayed on the display unit 14, the user inputs a comparison graph creation completion instruction (YES in S7), and the data analyzer 1 The graph creation process ends.

  In the processing example illustrated 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 selection unit 23 may select predetermined time series data from the time series data generated by the data generation unit 22.

  In the processing example shown in FIG. 7, the display control unit 27 displays a list of types of time-series data after S1, but the present invention 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 selection unit 23 specifies time series data corresponding to the series selected by the user as time series data to be added to the comparison graph. .

  In the processing example shown in FIG. 7, each time the user designates partial time-series data, a comparison graph is created and displayed. However, the present invention is not limited to this. For example, the user may specify a plurality of partial time series data at a time, and create and display a comparison graph in which a plurality of elapsed time data based on the specified plurality of partial time series data is plotted.

  In the above processing example, the user designates an arbitrary period from the same time series data D (that is, irregularly designates a period), but the present invention is not limited to this. A plurality of partial time series data may be extracted. For example, as shown in FIG. 9, the user may specify the starting point and period of the time series data D, and may extract a plurality of partial time series data from the time series data D based on the specified starting point and period. . In the example shown in FIG. 9, the user designates the starting point as “July 17th 00:00:00” and the cycle as “1 day (00: 0 to 23:59)”, and the data extraction unit 24 performs time-series data D to partial time-series data Dd0 for the period of “July 16 00:00 to 23:59”, partial time-series data De0 for the period of “July 15 00:00 to 23:59”, and “7 Partial time-series data Df0 for the period of “Monday 14th 00:00 to 23:59” is extracted.

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

[Series move processing]
Next, the sequence movement process executed by the data analysis apparatus 1 will be described with reference to FIG. FIG. 10 is a diagram illustrating an example of the sequence movement process executed by the data analysis apparatus 1. Here, as shown in FIG. 11, five elapsed time data E1, F1, G1, H1, and I1 are plotted, and five series corresponding to the five elapsed time data E1, F1, G1, H1, and I1. It is assumed that E2, F2, G2, H2, and I2 are drawn on the comparison graph. FIG. 11 is a diagram illustrating an example of a screen displayed on the display unit 14 during the series 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 series on the comparison graph. That is, the time shift unit 28 waits for an instruction signal for selecting a predetermined sequence from the operation unit 15 (S11).

  Here, as shown in FIG. 11B, it is assumed that the user has selected the sequence E2. At this time, the time shift unit 28 receives an instruction signal for selecting the sequence E2 from the operation unit 15 (YES in S11), and notifies the display control unit 27 that the elapsed time data E1 corresponding to the sequence E2 has been selected. To do. When the display control unit 27 receives the notification indicating that the elapsed time data E1 has been selected, the elapsed time data E1 is currently selected, for example, by changing the line graph of the elapsed time data E1 to a thick line. To the user.

  In a state where 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 unit 28 waits for an instruction signal to move the selected sequence E2 in the elapsed time axis direction from the operation unit 15 (S12).

  Here, as shown in FIG. 11B, it is assumed that the user has performed an operation of shifting the sequence E2 in the elapsed time axis direction. At this time, the time shift unit 28 receives an instruction signal for moving the sequence E2 in the elapsed time axis direction from the operation unit 15 (YES in S12), and the elapsed time data held by the graph creating unit 26 corresponding to the sequence E2. The elapsed time data E1 ′ is created by shifting the elapsed time of E1 (S13).

  The time shift unit 28 outputs the created elapsed time data E1 'after the shift to the graph creation unit 26. Then, the graph creation unit 26 creates a comparison graph based on the elapsed time data E1 'created by the time shift unit 28 and the elapsed time data F1, G1, H1, and I1 held by itself. The display control unit 27 causes the display unit 14 to display the comparison graph created by the graph creation unit 26 (S14).

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

  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 in FIG. 11B, the measurement time corresponding to the physical quantity of the series E2 is displayed at the top of the comparison graph. In this case, the user may move the series by clicking the measurement time axis and moving the measurement time in the axial direction.

  In this way, by shifting the time of each data of the elapsed time data E1 to I1 based on the instruction to move the series E2 to I2, as shown in FIG. Can be aligned at the reference point. Therefore, the physical quantities included in each elapsed time data can be easily compared.

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

[Graph display example]
Next, comparison graph display processing performed by the data analysis apparatus 1 will be described with reference to FIGS. FIG. 13 is a diagram illustrating an example of a screen displayed on the display unit 14 when the comparison graph is enlarged or reduced. FIG. 14 is a diagram illustrating an example of a screen displayed on the display unit 14 during the comparison graph series selection processing. FIG. 15 is a diagram illustrating an example of a screen displayed on the display unit 14 during the comparison graph series replacement processing. FIG. 16 is a diagram illustrating an example of a screen displayed on the display unit 14 during the graph type switching process of the comparison graph. FIG. 17 is a diagram illustrating an example of a screen displayed on the display unit 14 during the period change processing of the comparison graph.

  First, an example of the enlargement / reduction process of the comparison graph will be described with reference to FIG. When the comparison graph shown in FIG. 13A is displayed, when the user selects a predetermined range and performs an operation of expanding the range, the display control unit 27 is shown in FIG. 13B. As described above, the time axis in the range specified by the user is enlarged and displayed. By this operation, the user can determine a detailed change in physical quantity of each series.

  Next, an example of a comparison graph series selection process will be described with reference to FIG. 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, it is assumed that the user clicks the check boxes of the series N2 and O2 to remove 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 hides the series N2 and O2. In this way, it is possible to switch display / non-display of the series once added on the comparison graph in series units.

  Next, an example of the series replacement process of the comparison graph will be described with reference to FIG. As shown in FIG. 15A, it is assumed that two series P2 and Q2 are displayed on the comparison graph as a stacked graph in the order of series P2 and Q2 from the top. In this state, it is assumed that the user performs an operation of switching the order of the series P2 and Q2. At this time, as shown in FIG. 15B, the display control unit 27 draws the stacked graphs in the order of the series Q2 and P2 from the top and displays the comparison graph. In this way, when each series is drawn on the comparison graph in the stacked graph, the order of the series can be changed.

  Next, an example of the graph type switching process of the comparison graph will be described based on FIG. As shown in FIG. 16A, it is assumed that four series R2, S2, T2, and U2 are displayed on the comparison graph in the stacked graph. In this state, it is assumed that the user performs an operation of switching the graph type. For example, when the graph type is switched to a line graph, as shown in FIG. 15B, the display control unit 27 draws each series R2, S2, T2, and U2 as a line graph on the comparison graph. . When the graph type is switched to a pie chart, as shown in FIG. 15C, the display control unit 27 draws each series R2, S2, T2, and U2 as a pie chart on the comparison graph. .

  When switching to a pie chart, the ratio of the total value of physical quantities within a predetermined period of each elapsed time data is calculated using the total value of physical quantities of all elapsed time data within a predetermined period as a parameter.

  Finally, an example of the period change process of the comparison graph will be described based on FIG. As shown in FIG. 17A, it is assumed that four series V2, W2, X2, and Y2 are displayed on the comparison graph in the stacked graph. Further, it is assumed that the elapsed time data V1, W1, X1, and Y1 corresponding to the four series V2, W2, X2, and Y2 are data indicating changes in physical quantity every 10 minutes. That is, the partial time-series data V0, W0, X0, and Y0 that are the original data of the elapsed time data V1, W1, X1, and Y1 are data indicating changes in physical quantities measured every 10 minutes.

  In this state, it is assumed that the user performs an operation of changing the measurement cycle from “10 minute unit” to “1 hour unit”. At this time, the graph creation unit 26 sums the physical quantities of the elapsed time data V1, W1, X1, and Y1 every hour to generate elapsed time data indicating the total physical quantity for each hour. For example, the values of six physical quantities from elapsed time 0 minutes to 50 minutes are summed to obtain a physical quantity at elapsed time 0 hours, and the values of six physical quantities from elapsed time 60 minutes to 110 minutes are summed. The physical quantity of Based on the elapsed time data indicating the total physical quantity for each hour newly generated by the graph creating unit 26, the display control unit 27 has four sequences V2, W2, X2, and Y2 as shown in FIG. Is drawn on the comparison graph.

[Supplement]
The present invention is not limited to the above-described embodiments, and various modifications can be made within the scope shown in the claims. That is, embodiments obtained by combining technical means appropriately modified within the scope of the claims are also included in the technical scope of the present invention.

  Finally, each block of the data analysis apparatus 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 apparatus 1 includes a CPU (central processing unit) that executes instructions of a control program for realizing each function, a ROM (read only memory) that stores the program, and a RAM (random access memory) that expands the program. And a storage device (recording medium) such as a memory for storing the program and various data. An object of the present invention is to provide a recording medium on which a program code (execution format program, intermediate code program, source program) of a control program of the data analysis apparatus 1 which is software for realizing the functions described above is recorded so as to be readable by a computer. This can also be achieved by supplying the data analysis apparatus 1 and reading and executing the program code recorded on the recording medium by the computer (or CPU or MPU).

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

  Further, the data analysis apparatus 1 may be configured to be connectable to a communication network, and the program code may be supplied via the communication network. The communication network is not particularly limited. For example, the Internet, intranet, extranet, LAN, ISDN, VAN, CATV communication network, virtual private network, telephone line network, mobile communication network, satellite communication. A net or the like is available. Also, the transmission medium constituting the communication network is not particularly limited. For example, even in the case of wired such as IEEE 1394, USB, power line carrier, cable TV line, telephone line, ADSL line, etc., infrared rays such as IrDA and remote control, Bluetooth ( (Registered trademark), 802.11 wireless, HDR, mobile phone network, satellite line, terrestrial digital network, and the like can also be used. The present invention can also be realized in the form of a computer data signal embedded in a carrier wave in which the program code is embodied by electronic transmission.

  The present invention can be used for an apparatus that analyzes and analyzes physical quantities of production equipment.

1 Data analysis device (data comparison device)
2 Data collection device 3 Sensor device 4 Production equipment (equipment)
6 Data analysis system 11 Control unit 12 Storage unit 14 Display unit 15 Operation unit (input means)
21 Data acquisition unit (data acquisition means)
22 Data generator (data generator)
23 Data selection part 24 Data extraction part (data extraction means)
25 elapsed time giving unit (elapsed time calculation means)
26 Graph creation section (graph creation means)
27 Display control unit (display control means)
28 Time shift part (time shift means)

Claims (6)

Data acquisition means for acquiring one or a plurality of time-series data in which the physical quantity of the device and the measurement time at which the physical quantity is measured are associated;
Data extraction means for extracting a plurality of partial time-series data that is data of a predetermined period included in the time-series data from one or more time-series data acquired by the data acquisition means;
For each of a plurality of partial time series data extracted by the data extraction means, an elapsed time calculation means for calculating an elapsed time from a predetermined reference time for each measurement time included in the partial time series data;
Based on the elapsed time calculated by the elapsed time calculating means on the single graph with the elapsed time as an axis, the physical quantities contained in the plurality of partial time series data extracted by the data extracting means are plotted respectively. A graph creation means for creating a comparative graph in which a plurality of series are drawn;
An input means for receiving an operation instruction from the user;
A time shift that shifts the elapsed time of the partial time series data indicating the series on the comparison graph based on the operation instruction that is input to the input means and moves the predetermined series on the comparison graph in the elapsed time axis direction Means and
The graph creating 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. Data comparison device. A display control means for displaying the graph created by the graph creation means;
When the input means receives an operation instruction for selecting a predetermined series on the comparison graph, the display control means, based on the operation instruction, displays partial time series data indicating the series plotted on the comparison graph. The data comparison apparatus according to claim 1, wherein a measurement time corresponding to the physical quantity is displayed. Data generation means for generating new time-series data from one or more time-series data acquired by the data acquisition means;
The said data extraction means extracts several partial time series data from the time series data which the said data acquisition means acquired, and / or the time series data which the said data generation means produced | generated, The Claim 1 or 2 characterized by the above-mentioned. The data comparison device described. A data acquisition step of acquiring one or a plurality of time-series data in which the physical quantity of the device is associated with the measurement time when the physical quantity is measured;
A data extraction step of extracting a plurality of partial time-series data that 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;
For each of the plurality of partial time series data extracted in the data extraction step, an elapsed time calculation step for calculating an elapsed time from a predetermined reference time for each measurement time included in the partial time series data;
On the single graph with the elapsed time as an axis, the physical quantities contained in the plurality of partial time series data extracted in the data extraction step are plotted based on the elapsed time calculated in the elapsed time calculation step, respectively. A graph creation step for creating a comparative graph in which a plurality of series are drawn,
An input step for receiving an operation instruction from the user;
A time shift that shifts the elapsed time of the partial time series data indicating the series on the comparison graph based on the operation instruction that is input in the input step and moves the predetermined series on the comparison graph in the elapsed time axis direction Steps,
A graph updating step of plotting physical quantities included in the partial time series data indicating the series based on the elapsed time shifted in the time shifting step, drawing the series, and updating a comparison graph. Data comparison method.   A control program for operating the data comparison apparatus according to any one of claims 1 to 3, wherein the control program causes a computer to function as each of the means.   A computer-readable recording medium on which the control program according to claim 5 is recorded.

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