CN102841580A - Data comparison device, data comparison method, control program and recording medium - Google Patents

Data comparison device, data comparison method, control program and recording medium Download PDF

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Publication number
CN102841580A
CN102841580A CN2012101549500A CN201210154950A CN102841580A CN 102841580 A CN102841580 A CN 102841580A CN 2012101549500 A CN2012101549500 A CN 2012101549500A CN 201210154950 A CN201210154950 A CN 201210154950A CN 102841580 A CN102841580 A CN 102841580A
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data
time
mentioned
sequence
chart
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中岛康晓
上田和章
斋藤宏
向川信一
大桥胜己
堤康弘
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Omron Corp
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Omron Corp
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric 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
    • G05B23/0221Preprocessing 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
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total 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]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • G06T11/20Drawing from basic elements, e.g. lines or circles
    • G06T11/206Drawing of charts or graphs
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

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

Abstract

The invention relates to a data comparison device, a data comparison method, a control program and a recording medium. Multiple time sequence data is easily aligned on an icon according to an arbitrary reference point. A comparison chart described based on a passing time is generated from the multiple partial time sequence data extracted from the multiple time sequence data. The passing time of the partial time sequence data corresponding to the above sequence is offset based on the indication from the user on making the preset sequence on the comparison chart move along the direction of the passing time axis. The partial time sequence data is described based on the offset passing time, therefore the comparison chart is updated.

Description

Data comparison means, data comparing method, control program and recording medium
Technical field
The present invention relates to data comparison means, data comparing method, control program and the recording medium of time series data of the physical quantity of comparison production equipment.
Background technology
In the past, obtained the time series data (for example, the time series data of consumes electric power etc.) of the physical quantity of production equipment, and based on the analysis of this time series data and realize the raising of throughput rate and energy-conservationization such as reduction of consumes electric power etc.
For example; In patent documentation 1 ~ 4, put down in writing time series data for amount of power; The waveform pattern of (run unit, original unit etc.) compares with each cycling time; Thereby detect the difference with waveform pattern, and confirm the reduction of throughput rate and the waste of consumes electric power based on testing result.
[patent documentation 1] (Japan) spy opens 2010-250381 communique (on November 4th, 2010 is open)
[patent documentation 2] (Japan) spy opens 2010-250382 communique (on November 4th, 2010 is open)
[patent documentation 3] (Japan) spy opens 2010-250383 communique (on November 4th, 2010 is open)
[patent documentation 4] (Japan) spy opens 2010-250384 communique (on November 4th, 2010 is open)
But, have the problem that is difficult to automatically and from time series data, extracts cycling time accurately in the technology in the past of above-mentioned that kind.
Specifically; Even produce under the situation of same manufacturing thing at the same equipment of employing; The time series data of the physical quantity of production equipment also can change according to set environment (temperature, humidity etc.) and period etc., therefore is difficult in order to extract cycling time suitably setup parameter (waveform pattern, interval etc.).Therefore, can't extract cycling time exactly sometimes.
In addition,, also have to guarantee periodic situation cycling time, even can judge under the situation of the reference point that is used for comparison that the situation that can't automatically confirm reference point is also arranged looking even can extract cycling time.Therefore, a plurality of cycling times that can't align and extract through reference point sometimes, can't compare.Thereby, can't extract improving a little of discrepancy with waveform pattern etc. sometimes.
Summary of the invention
The present invention accomplishes in view of the above problems, its purpose be to realize a kind of can be on chart through reference point arbitrarily easily with data comparison means, data comparing method, control program and the recording medium of a plurality of time series datas alignment.
Data comparison means of the present invention, is characterized in that comprise: data obtain parts in order to solve above-mentioned problem, obtains one or more time series data that the physical quantity of equipment and the measurement of having measured this physical quantity are associated constantly; The data extract parts are obtained one or more time series data that parts obtain from above-mentioned data, extract a plurality of part-time sequence datas as the data of the specified time limit that in time series data, comprises; The elapsed time calculating unit; Each of a plurality of part-time sequence datas that extract to above-mentioned data extract parts, calculate respectively for each that in this part-time sequence data, comprises measure constantly, from elapsed time that the benchmark of regulation begins constantly; Chart generates parts; On with the single chart of above-mentioned elapsed time as axle; The elapsed time of calculating based on above-mentioned elapsed time calculating unit, thus the physical quantity of describing respectively to comprise in a plurality of part-time sequence datas that above-mentioned data extract parts extract generates the comparison chart of having described a plurality of sequences; Input block is accepted the operation indication from the user; And time migration parts; Based on be input to above-mentioned input block, be used for operation indication that the sequence of the regulation on the comparison chart is moved along the elapsed time direction of principal axis; Elapsed time to the part-time sequence data of the above-mentioned sequence of expression on the above-mentioned comparison chart squints; Above-mentioned chart generates the elapsed time after parts squint based on above-mentioned time migration parts; Be depicted in the physical quantity that comprises in the part-time sequence data of the above-mentioned sequence of expression and describe above-mentioned sequence, and upgrade comparison chart.
In addition, data comparing method of the present invention, is characterized in that comprise: data obtain step in order to solve above-mentioned problem, obtains one or more time series data that the physical quantity of equipment and the measurement of having measured this physical quantity are associated constantly; The data extract step from obtaining in above-mentioned data in one or more time series data that obtains the step, is extracted a plurality of part-time sequence datas as the data of the specified time limit that in time series data, comprises; The elapsed time calculation procedure; To a plurality of part-time sequence datas that in above-mentioned data extract step, extract each, calculate respectively for each that in this part-time sequence data, comprises measure constantly, from elapsed time that the benchmark of regulation begins constantly; Chart generates step; On with the single chart of above-mentioned elapsed time as axle; Be based on the elapsed time of calculating in the above-mentioned elapsed time calculation procedure, generate the comparison chart of having described a plurality of sequences thereby be depicted in the physical quantity that comprises in a plurality of part-time sequence datas that extract in the above-mentioned data extract step respectively; Input step is accepted the operation indication from the user; The time migration step; Be based on import in the above-mentioned input step, be used for operation indication that the sequence of the regulation on the comparison chart is moved along the elapsed time direction of principal axis, the elapsed time of the part-time sequence data of the above-mentioned sequence of expression on the above-mentioned comparison chart is squinted; And the chart step of updating, be based in the above-mentioned time migration step elapsed time after the skew, be depicted in the physical quantity that comprises in the part-time sequence data of the above-mentioned sequence of expression and describe above-mentioned sequence, and upgrade comparison chart.
According to said structure; Above-mentioned chart generates a plurality of part-time sequence datas that parts will extract from one or more time series data; Based on in the part-time sequence data, comprise each measure corresponding respectively constantly elapsed time, be depicted in the physical quantity that comprises in the part-time sequence data respectively and generate comparison chart.In addition; That above-mentioned time migration parts move along the elapsed time direction of principal axis based on the sequence that makes the regulation on the comparison chart, from user's operation indication; The elapsed time of the part-time sequence data of the above-mentioned sequence of expression on the above-mentioned comparison chart that squints; And above-mentioned chart generates the elapsed time of parts after based on above-mentioned time migration parts skew, is depicted in the physical quantity that comprises in the part-time sequence data of the above-mentioned sequence of expression and describes above-mentioned sequence, and upgrade comparison chart.
The above-mentioned elapsed time is the difference time till each measurement constantly that the benchmark of stipulating begins to the part-time sequence data, to comprise constantly.Therefore; Above-mentioned chart generates parts should generate above-mentioned comparison chart as axle in the elapsed time; Thereby be directed against each part-time sequence data, can under the prerequisite of having kept each measurement time-amplitude constantly that in the part-time sequence data, comprises, will measure constantly or measure the different a plurality of part-time sequence datas in interval and be painted on the single chart.That is, can under the prerequisite of the waveform patterns of having kept each sequence corresponding, be painted on the single chart with the various piece time series data.
Above-mentioned time migration parts are based on the operation indication of the sequence that moves the regulation on the comparison chart; Elapsed time to the part-time sequence data of the above-mentioned sequence of expression on the above-mentioned comparison chart squints; Therefore above-mentioned chart generates parts can be under the prerequisite of the time-amplitude in the elapsed time of having kept the part-time sequence data of representing above-mentioned sequence, is depicted in the physical quantity that comprises in the part-time sequence data of the above-mentioned sequence of expression based on the elapsed time after the skew and describes above-mentioned sequence.That is, above-mentioned chart generates parts and can under the prerequisite of keeping the waveform patterns that the user indicated the sequence that moves, this sequence be moved along time-axis direction.
Thereby even the time series data that the reference point with cycling time etc. of rising constantly staggers, the elapsed time direction of principal axis moves in the comparison chart upper edge to make it through the user, thereby also can on reference point arbitrarily, align a plurality of time series datas.Therefore, play the effect of more a plurality of time series datas simply.
In addition; Preferably; Data comparison means of the present invention also comprises: display control unit spare shows that above-mentioned chart generates the chart that parts generate, if above-mentioned input block accepts to be used to select the operation indication of the sequence of the regulation on the comparison chart; Then above-mentioned display control unit spare is indicated based on aforesaid operations, the measurement moment that demonstration is corresponding with the physical quantity of the part-time sequence data of the above-mentioned sequence of on above-mentioned comparison chart, describing of expression.
According to said structure, if the user selects the sequence of the regulation on the above-mentioned comparison chart, then above-mentioned display control unit spare shows that the measurement corresponding with the physical quantity of the part-time sequence data of representing selected sequence constantly.Above-mentioned comparison chart is described each sequence with the elapsed time as axle; Even therefore each sequence moves along the elapsed time direction of principal axis; Also just elapsed time skew is still being kept physical quantity and is being measured corresponding relation constantly in the various piece time series data.
Therefore; For example; Even found moving each sequence under the unusual situation of waveform patterns of sequence of regulation, also can be through selecting the sequence of afore mentioned rules, know the measured moment of the physical quantity at unusual position of waveform patterns exactly, promptly taken place the unusual moment.
In addition; Preferably, data comparison means of the present invention also comprises: data generate parts, obtain one or more time series data that parts are obtained according to above-mentioned data; Generate new time series data; Above-mentioned data extract parts are obtained time series data that parts obtain and/or above-mentioned data from above-mentioned data and are generated the time series data that parts generate, and extract a plurality of part-time sequence datas.
According to said structure; Above-mentioned data generate parts and obtain one or more time series data that parts are obtained according to above-mentioned data; Generate new time series data; Above-mentioned data extract parts are obtained time series data that parts obtain and/or above-mentioned data from above-mentioned data and are generated the time series data that parts generate, and extract a plurality of part-time sequence datas.Therefore, not only can more above-mentioned data obtain the time series data that parts are obtained, can also compare the new time series data that generates according to the time series data that obtains.
In addition; Above-mentioned data comparison means also can be realized through computing machine; At this moment; Through computing machine is moved as each parts of above-mentioned data comparison means, thereby the recording medium of embodied on computer readable that makes the control program of the above-mentioned data comparison means of computer realization and write down it is also in category of the present invention.
As stated, data comparison means of the present invention comprises: data obtain parts, obtain one or more time series data that the physical quantity of equipment and the measurement of having measured this physical quantity are associated constantly; The data extract parts are obtained one or more time series data that parts obtain from above-mentioned data, extract a plurality of part-time sequence datas as the data of the specified time limit that in time series data, comprises; The elapsed time calculating unit; Each of a plurality of part-time sequence datas that extract to above-mentioned data extract parts, calculate respectively for each that in this part-time sequence data, comprises measure constantly, from elapsed time that the benchmark of regulation begins constantly; Chart generates parts; On with the single chart of above-mentioned elapsed time as axle; The elapsed time of calculating based on above-mentioned elapsed time calculating unit, thus the physical quantity of describing respectively to comprise in a plurality of part-time sequence datas that above-mentioned data extract parts extract generates the comparison chart of having described a plurality of sequences; Input block is accepted the operation indication from the user; And time migration parts; Based on be input to above-mentioned input block, be used for operation indication that the sequence of the regulation on the comparison chart is moved along the elapsed time direction of principal axis; Elapsed time to the part-time sequence data of the above-mentioned sequence of expression on the above-mentioned comparison chart squints; Above-mentioned chart generates the elapsed time after parts squint based on above-mentioned time migration parts; Be depicted in the physical quantity that comprises in the part-time sequence data of the above-mentioned sequence of expression and describe above-mentioned sequence, and upgrade comparison chart.
In addition, data comparing method of the present invention comprises: data obtain step, obtain one or more time series data that the physical quantity of equipment and the measurement of having measured this physical quantity are associated constantly; The data extract step from obtaining in above-mentioned data in one or more time series data that obtains the step, is extracted a plurality of part-time sequence datas as the data of the specified time limit that in time series data, comprises; The elapsed time calculation procedure; To a plurality of part-time sequence datas that in above-mentioned data extract step, extract each, calculate respectively for each that in this part-time sequence data, comprises measure constantly, from elapsed time that the benchmark of regulation begins constantly; Chart generates step; On with the single chart of above-mentioned elapsed time as axle; Be based on the elapsed time of calculating in the above-mentioned elapsed time calculation procedure, generate the comparison chart of having described a plurality of sequences thereby be depicted in the physical quantity that comprises in a plurality of part-time sequence datas that extract in the above-mentioned data extract step respectively; Input step is accepted the operation indication from the user; The time migration step; Be based on import in the above-mentioned input step, be used for operation indication that the sequence of the regulation on the comparison chart is moved along the elapsed time direction of principal axis, the elapsed time of the part-time sequence data of the above-mentioned sequence of expression on the above-mentioned comparison chart is squinted; And the chart step of updating, be based in the above-mentioned time migration step elapsed time after the skew, be depicted in the physical quantity that comprises in the part-time sequence data of the above-mentioned sequence of expression and describe above-mentioned sequence, and upgrade comparison chart.
Thereby even the time series data that the reference point with cycling time etc. of rising constantly staggers, the elapsed time direction of principal axis moves in the comparison chart upper edge through the user, thereby also can on reference point arbitrarily, align a plurality of time series datas.Therefore, play the effect of more a plurality of time series datas simply.
Description of drawings
Fig. 1 is the block scheme of major part structure of the data analysis set-up of expression embodiment of the present invention.
Fig. 2 is the figure of summary of the data analysis system of expression embodiment of the present invention.
Fig. 3 is the figure of an example of the time series data that obtains of the above-mentioned data analysis set-up of expression.
Fig. 4 is the figure of an example of the part-time sequence data that from above-mentioned time series data, extracts of expression.
Fig. 5 be the expression to above-mentioned time series data given the elapsed time the elapsed time data one the example figure.
Fig. 6 is the figure of an example of the elapsed time data after the skew of expression elapsed time.
Fig. 7 is the figure that the comparison chart of the above-mentioned data analysis set-up execution of expression generates an example of handling.
Fig. 8 is utilized in picture displayed on the display part of above-mentioned data analysis set-up and schematically shows comparison chart and generate the figure that handles.
Fig. 9 is utilized in picture displayed on the display part of above-mentioned data analysis set-up and schematically shows comparison chart and generate the figure that handles.
Figure 10 is the figure that the sequence of the above-mentioned data analysis set-up execution of expression moves an example of processing.
Figure 11 (a) ~ (c) is illustrated in sequence to move when handling the figure of picture displayed example on the display part.
Figure 12 is the figure of an example of expression comparison chart.
Figure 13 (a) ~ (b) is that the figure of picture displayed example on the display part is dwindled when handling in the amplification that is illustrated in comparison chart.
Figure 14 (a) ~ (b) is the sequence selection that the is illustrated in comparison chart figure of picture displayed example on the display part when handling.
Figure 15 (a) ~ (b) is the sequence that the is illustrated in comparison chart figure of picture displayed example on the display part when change handling.
Figure 16 (a) ~ (c) is the figure of picture displayed example on the display part when being illustrated in the chart classification hand-off process of comparison chart.
Figure 17 (a) ~ (b) is the periodic change that the is illustrated in comparison chart figure of picture displayed example on the display part when handling.
Label declaration
1 data analysis set-up (data comparison means)
2 transacters
3 sensor devices
4 production equipments (equipment)
6 data analysis systems
11 control parts
12 storage parts
14 display parts
15 operating portions (input block)
21 data obtain portion's (data obtain parts)
22 data generation portions (data generation parts)
23 data selection portions
24 data extract portions (data extract parts)
25 elapsed time assigning unit (elapsed time calculating unit)
26 chart generation portions (chart generation parts)
27 display control units (display control unit spare)
28 time migration portions (time migration parts)
Embodiment
Explain that based on Fig. 1 to Figure 17 an embodiment of the present invention is following.
[structure of data analysis system]
At first, based on Fig. 2 the data analysis system that comprises data analysis set-up of the present invention (data comparison means) is described.Fig. 2 is the figure of the summary of expression data analysis system 6.
As shown in Figure 2, data analysis system 6 comprises data analysis set-up 1, transacter 2a and 2b, sensor device 3a ~ 3e and stamping machine 4a, cleaning machine 4b, make-up machine 4c, compressor 4d and compressor 4e.
Sensor device 3a ~ 3e is connected with stamping machine 4a, cleaning machine 4b, make-up machine 4c, compressor 4d, compressor 4e respectively.In addition, transacter 2a is connected with sensor device 3a, 3b and 3c, and transacter 2b is connected with sensor device 3d and 3e.In addition, data analysis set-up 1 is connected with transacter 2a and 2b via network 5.
Stamping machine 4a, cleaning machine 4b, make-up machine 4c, compressor 4d and compressor 4e are arranged in the factory etc., are the equipment of producing the manufacturing thing of regulation, or the equipment that uses for the manufacturing thing of producing regulation.Below, the equipment of the manufacturing thing of producing regulation or the equipment that uses for the manufacturing thing of producing regulation are referred to as production equipment.In addition, be made as stamping machine 4a, cleaning machine 4b, make-up machine 4c, compressor 4d and compressor 4e are referred to as production equipment (equipment) 4.
Sensor device 3a ~ 3e continuously or separate certain intervals and the time variation of measuring the physical quantity of the regulation that the consumes electric power amount (amount of power) of production equipment 4 waits discontinuously.Below, under the situation of distinguishing sensor device 3a ~ 3e not, be referred to as sensor device 3.The physical quantity that sensor device 3 is measured is not limited to the consumes electric power amount, for example also can be compressor 4d and 4e air mass flow, put into the material input amount of make-up machine 4c or the growing amount of the product that generates by make-up machine or temperature, humidity, vibration or the pressure etc. of production equipment 4.The time series data of the physical quantity of the regulation that sensor device 3 will be measured outputs to transacter 2a and 2b.
Sensor device 3 is for example exported the time series data of that kind shown in Figure 3.In example shown in Figure 3, the consumes electric power amount of production equipment 4 is associated with the measurement of having measured the consumes electric power amount constantly.That is, time series data is the data that change time of the physical quantity of expression production equipment 4.In example shown in Figure 3, sensor device 3 is in the consumes electric power of each minute measurement production equipment 4, but is not limited thereto.For example, the measuring unit of sensor device 3 (measuring at interval) also can be 10 minutes, also can be a second unit, also can be a hour unit, also can be a day unit.
In addition, in example shown in Figure 2, a sensor device 3 is measured the physical quantity of a production equipment 4, but is not limited thereto.A sensor device 3 also can be measured the physical quantity of a plurality of production equipments 4.And then sensor device 3 can be measured a kind of physical quantity (for example, only being the consumes electric power amount) from a production equipment 4, also can measure multiple physical quantity (for example, consumes electric power amount and air mass flow).
The time series data that transacter 2a and 2b measure from the sensor device that connected 3 collecting sensor devices 3, and the time series data of collecting sent to data analysis set-up 1 via network 5.Below, under the situation of not distinguishing transacter 2a and 2b, be referred to as transacter 2.Transacter 2 is connected through wire communication parts or wireless communication unit with sensor device 3 and gets final product.
Transacter 2 can be when each of sensor device 3 be measured or each stipulated time, from sensor device 3 acquisition time sequence datas.For example, when sensor device 3 was measured the consumes electric power amount in each minute, transacter 2 can be collected the consumes electric power amount from sensor device 3 in each minute.In addition, transacter 2 also can be collected the consumes electric power amount from sensor device 3 at per 10 minutes.At this moment, transacter 2 is in the time series data of per 10 minutes collecting sensor devices 3 measured consumes electric power amount during these 10 minutes.In addition, in this embodiment, be made as transacter 2 and measure constantly from sensor device 3 acquisition time sequence datas in each of sensor device 3.
In addition, in example shown in Figure 2, transacter 2a is connected with 3 sensor devices 3, and transacter 2b is connected with two sensor devices 3, but is not limited thereto.Transacter 2 is connected with at least one sensor device 3 and gets final product.
Data analysis set-up 1 is obtained one or more time series data for the various time series datas of production equipment 4 relatively from transacter 2, thereby and a plurality of data that will from one or more time series data that obtains, extract be painted into and generate comparison chart on the single chart.In addition, data analysis set-up 1 will move in the sequence of the regulation on the comparison chart that generates along time-axis direction, thereby makes each sequence on the comparison chart can be at reference point arbitrarily and unanimity.
Here, the data that will from one or more time series data that data analysis set-up 1 is obtained, extract are called the part-time sequence data.That is, the part-time sequence data is part or all of the time series data that obtains.
Comparison chart is for example to adopt curve, cumulative chart, bar chart etc. to describe the chart of various piece time series data (each sequence).Data analysis set-up 1 will be made as the X axle time and the Y axle is made as physical quantity and generates comparison chart.The physical quantity of Y axle can be multiple.That is, can physical quantity different time sequence data (part-time sequence data) be painted on the single chart.
Data analysis set-up 1 is for example by realizations such as PC.About the 26S Proteasome Structure and Function of data analysis set-up 1, detailed content is narrated in the back.
In addition, in example shown in Figure 2, data analysis set-up 1 is connected with two data gathering-devices 2, but is not limited thereto.Data analysis set-up 1 is connected with at least one transacter 2 and gets final product.
In addition, in example shown in Figure 2, data analysis system 6 comprises a data analysis set-up 1, two 2,5 sensor devices 3 of data gathering-device and 5 production equipments 4, but is not limited thereto.Data analysis system 6 comprises at least one data analysis set-up 1, transacter 2, sensor device 3 and production equipment 4 respectively and gets final product.
[structure of data analysis set-up]
Fig. 1 be the expression data analysis set-up 1 the major part structure one the example figure.As shown in Figure 1, data analysis set-up 1 comprises control part 11, storage part 12, Department of Communication Force 13, display part 14 and operating portion (input block) 15.In addition, data analysis set-up 1 also can comprise parts such as sound input part, audio output unit, but since irrelevant with the unique point of invention, therefore corresponding component is not illustrated.
Department of Communication Force 13 communicates through other devices of wireless communication unit or wire communication parts and transacter 2 etc., and carries out the exchange of data according to the indication of control part 11.For example, Department of Communication Force 13 is obtained time series data according to the indication of control part 11 from transacter 2.
In addition, when utilizing memory storages such as SD card or USB (USB) storer and carrying out the exchanges data between data analysis set-up 1 and the transacter 2, suppose that Department of Communication Force 13 is as IO interfaces such as USB ports and play a role.
Display part 14 is display image according to the indication of control part 11.Display part 14 for example can be used LCD (LCD), OLED display, plasma scope etc. so long as the parts of display image get final product according to the indication of control part 11.
Operating portion 15 is users to data analysis set-up 1 input indicative signal and is used for the parts of operational data analysis device 1.Operating portion 15 can be by the formations such as input equipment of keyboard, mouse, keypad (keypad), action button etc.In addition, also can be the touch panel that operating portion 15 and display part 14 become one.In addition, operating portion 15 also can be the remote control of telepilot etc. that is different from another mechanism of data analysis set-up 1.
Control part 11 reads into the program of interim storage part (not shown) through carrying out from storage part 12, thereby when carrying out various computings, unifies each one that control data analytical equipment 1 is possessed.
In this embodiment, control part 11 comprises that as functional block data obtain portion's (data obtain parts) 21, data generation portion (data generation parts) 22, data selection portion 23, data extract portion (data extract parts) 24, elapsed time assigning unit (elapsed time calculating unit) 25, chart generation portion (chart generation parts) 26, display control unit (display control unit spare) 27, time migration portion (time migration parts) 28.Each functional block (21 ~ 27) of these control parts 11 can through CPU (CPU) will be in by the memory storage of ROM realizations such as (ROM (read-only memory)s) program stored read into by the interim storage part of RAM realizations such as (RAS) and carry out and realize.
Data obtain portion 21 and obtain time series data via Department of Communication Force 13 from transacter 2.Data obtain portion 21 time series data that obtains are outputed to data selection portion 23 and display control unit 27.In addition, data obtain portion 21 and also can the time series data that obtain be outputed to data generation portion 22.
Data obtain portion 21 and obtain time series data according to each classification of time series data.For example; Keep as transacter 2a under the situation of time series data (electric time sequence data C) of consumes electric power amount of time series data (electric time sequence data B) and make-up machine 4c of consumes electric power amount of time series data (electric time sequence data A), cleaning machine 4b of the consumes electric power amount of stamping machine 4a, data obtain portion 21 and obtain electric time sequence data A, electric time sequence data B and electric time sequence data C respectively from transacter 2a.
In addition, data obtain portion 21 when each of sensor device 3 measured or each stipulated time, obtain time series data.At this moment, data obtain portion 21 and also can change obtain the interval according to each classification of time series data.In addition, data obtain portion 21 and also can obtain the official hour sequence data from transacter 2 based on user's indication promptly from the indicator signal of operating portion 15.In addition, in this embodiment, be made as data and obtain portion 21 and measure in each of sensor device 3 and constantly obtain time series data from transacter 2.
Data generation portion 22 obtains the time series data of a plurality of classifications that portion 21 obtains according to data, regenerates time series data.For example; When data obtain under the situation of time series data of time series data and air mass flow of consumes electric power amount that portion 21 obtained compressor 4d; Data generation portion 22 can be with the time series data of the air mass flow time series data divided by the consumes electric power amount, thereby generates the time series data of the output efficiency of compressor 4d.In addition; Obtain under the situation of time series data (electric time sequence data C) of consumes electric power amount of time series data (electric time sequence data B) and make-up machine 4c of consumes electric power amount of time series data (electric time sequence data A) that portion 21 obtained the consumes electric power amount of stamping machine 4a, cleaning machine 4b the time series data of the total consumes electric power after data generation portion 22 also can generate electric time sequence data A, electric time sequence data B and electric time sequence data C carried out adding up in data.
Data generation portion 22 can automatically generate new time series data based on the rule that is predetermined, also can be based on user's indication and generate new time series data.The new time series data that data generation portion 22 will generate outputs to data selection portion 23 and display control unit 27.
Data selection portion 23 is based on user's indication, obtains the time series data of selecting to be appended to comparison chart the time series data that time series data that portion 21 obtains and/or data generation portion 22 generate from data.In addition, data selection portion 23 also can be according to the rule that is predetermined, and obtains the time series data of selecting to be appended to comparison chart the time series data that time series data that portion 21 obtains and/or data generation portion 22 generate from data.Data selection portion 23 notifies the time series data of selecting to data extract portion 24 and display control unit 27.
Data extract portion 24 based on user's indication and the regulation in the time series data that specified data selection portion 23 is selected during, and extract determined time series data regulation during be the part-time sequence data.In addition, data extract portion 24 also can be according to the rule that is predetermined in the time series data selected of specified data selection portion 23 regulation during, and extract the part-time sequence data.
For example; The time series data of selecting when data selection portion 23 is a time series data shown in Figure 3; And the user specified " assigning to 2: 59 " from 1 day 1: 00 January in 2011 during situation under, data extract portion 24 extracts part-time sequence data shown in Figure 4 from time series data shown in Figure 3.Data extract portion 24 outputs to elapsed time assigning unit 25 with the part-time sequence data that extracts.
Each part-time sequence data that elapsed time assigning unit 25 is extracted according to data extract portion 24, thus give elapsed time generation elapsed time data to the part-time sequence data.Specifically; Elapsed time assigning unit 25 with moment of the beginning of part-time sequence data (beginning constantly) as benchmark constantly; For the measurement that comprises in this part-time sequence data constantly; Calculating is from benchmark elapsed time (elapsed time) constantly, and gives respectively with each of part-time sequence data and measure constantly corresponding elapsed time, thereby generates the elapsed time data according to the part-time sequence data.For example, 25 pairs of part-time sequence datas shown in Figure 4 of elapsed time assigning unit are given the elapsed time, thereby generate elapsed time data shown in Figure 5.Elapsed time assigning unit 25 outputs to chart generation portion 26 with the elapsed time data that generate.
In addition, benchmark is not limited to the beginning moment of part-time sequence data constantly, can be constantly arbitrarily.That is, the elapsed time can be used as the measurement that comprises in the part-time sequence data and calculates (elapsed time=the measurements moment-benchmark moment) constantly with benchmark difference constantly.
The elapsed time data that chart generation portion 26 generates based on elapsed time assigning unit 25 generate the X axle are made as the elapsed time and the Y axle are made as the comparison chart of physical quantity.Here, when the elapsed time data have under a plurality of situation, a plurality of elapsed time data are described by chart generation portion 26 on a comparison chart.
Display control unit 27 is obtained portion 21 and/or data generation portion 22 time of reception sequence datas from data, and makes display part 14 show the guide look of the classification of the time series data that receives.Under this state, the user operates operating portion 15 and selects the official hour sequence data.
Display control unit 27 is if receive the notice of expression from the time series data of data selection portion 23 selections, the then time series data of video data selection portion 23 selections.Specifically, for example, the time series data that display control unit 27 is selected to data selection portion 23 shows the X axle as physical quantity as measuring constantly and with the Y axle after forming chart.Perhaps, the time series data that display control unit 27 is selected to data selection portion 23, the corresponding relation that will measure the moment (constantly) and physical quantity (numerical value) is processed form and is shown.Under the state that is showing the time series data that data selection portion 23 is selected, the user operates operating portion 15, thus from the time series data that is shown specified during.
The comparison chart that display control unit 27 generates display part 14 displayed map table generation portions 26.
Time migration portion 28 is based on user's indication, and the elapsed time of the elapsed time data that chart generation portion 26 is kept squints, thereby upgrades the elapsed time data.Time migration portion 28 will squint the elapsed time, the skew after the elapsed time data output to chart generation portion 26.For example, time migration portion 28 squints the elapsed time of elapsed time data shown in Figure 5 "+10 minutes ", thereby is updated to elapsed time data shown in Figure 6.
Chart generation portion 26 then upgrades comparison chart based on the elapsed time data after this renewal if obtain the elapsed time data after the renewal from time migration portion 28.And display control unit 27 makes the comparison chart after display part 14 displayed map table generation portions 26 upgrade.
The program of storage part 12 storage control parts 11 references and data etc.For example, can store data and obtain elapsed time data after time series data that portion 21 obtains, time series data that data generation portion 22 generates, part-time sequence data that data extract portion 24 extracts, elapsed time data that elapsed time assigning unit 25 generates, comparison chart that chart generation portion 26 generates and time migration portion squint in 28 pairs of elapsed time etc.
[comparison chart generates and handles]
Below, the comparison chart of carrying out based on Fig. 7 declarative data analytical equipment 1 generates processing.Fig. 7 is the figure that the comparison chart of expression data analysis set-up 1 execution generates an example of handling.Here, as shown in Figure 8, suppose from sequence data D sometime, to extract 3 part-time sequence data Da0, Db0, Dc0, and generate comparison chart.Fig. 8 utilizes picture displayed on the display part 14 and schematically shows the figure that comparison chart generate to be handled.
As shown in Figure 7, at first, data obtain portion 21 and obtain time series data (S1) via Department of Communication Force 13 from transacter 2.Then, display control unit 27 makes display part 14 video datas obtain the guide look of the classification of the time series data that portion 21 obtains.
Under the state of the guide look of the classification that has shown time series data on the display part 14; Select official hour sequence data D if the user operates operating portion 15, then data selection portion 23 confirms as the time series data (S2) that will be appended to comparison chart with the time series data D that the user selects.Then, the display control unit 27 time series data D that video data selection portion 23 confirms on display part 14 (that is the time series data D of user's selection) is selected as the state that is appended to the time series data of comparison chart.Here; If being appended to the time series data of comparison chart is selected; Then suppose as shown in Figure 8ly, the time series data D that display control unit 27 is selected to data selection portion 23 shows the X axle as physical quantity as measuring constantly and with the Y axle after forming chart.
Under the state that the time series data D that selects shows as chart, here, at first, suppose the user from time series data D, specified " 06:40 ~ 10:50 on July 22 " during.At this moment, data extract portion 24 from the time series data D that data selection portion 23 is selected, extract " 06:40 ~ 10:50 on July 22 " during part-time sequence data Da0.
Then, thus the part-time sequence data Da0 that 25 pairs of data extractions of elapsed time assigning unit portion 24 extracts gives the elapsed time generates elapsed time data Da1 (S4).Then, chart generation portion 26 is being made as the X axle elapsed time and the Y axle is being made as on the chart of physical quantity, describes the elapsed time data Da1 that elapsed time assigning unit 25 generates, thereby generates comparison chart (S5).The comparison chart (S6) that display control unit 27 generates display part 14 displayed map table generation portions 26.
Comparison chart is being shown under the state of display part 14, user input is used for the part-time sequence data during another of same time series data D is appended to the indication (S7 is " denying ") of comparison chart.Based on this input indication, data selection portion 23 confirms as time series data D the time series data (S2) that will be appended to comparison chart.Then, display control unit 27 shows time series data D with graph mode.
Under the state that time series data D shows as chart, then, suppose the user from time series data D, specified " 06:30 ~ 10:45 on July 18 " during.At this moment, data extract portion 24 from time series data D, extract " 06:30 ~ 10:45 on July 18 " during part-time sequence data Db0 (S3).
Then, thus the part-time sequence data Db0 that 25 pairs of data extractions of elapsed time assigning unit portion 24 extracts gives the elapsed time generates elapsed time data Db1 (S4).Then, elapsed time data Db1 further describes in chart generation portion 26 on the comparison chart of having described elapsed time data Da1, thereby generates comparison chart (S5).Display control unit 27 shows display part 14 and has described the elapsed time data Da1 of chart generation portion 26 generations and the comparison chart (S6) of Db1.
Comparison chart having described elapsed time data Da1 and Db1 is shown under the state of display part 14, and user input is used for the part-time sequence data during another of same time series data D is appended to the indication (S7 is " denying ") of comparison chart.Based on this input indication, data selection portion 23 confirms as time series data D the time series data (S2) that will be appended to comparison chart.Then, display control unit 27 shows time series data D with graph mode.
Under the state that time series data D shows as chart, then, suppose the user from time series data D, specified " 06:45 ~ 10:50 on July 15 " during.At this moment, data extract portion 24 from time series data D, extract " 06:45 ~ 10:50 on July 15 " during part-time sequence data Dc0 (S3).
Then, thus the part-time sequence data Dc0 that 25 pairs of data extractions of elapsed time assigning unit portion 24 extracts gives the elapsed time generates elapsed time data Dc1 (S4).Then, elapsed time data Dc1 further describes in chart generation portion 26 on the comparison chart of having described elapsed time data Da1 and Db1, thereby generates comparison chart (S5).Display control unit 27 makes display part 14 demonstrations describe the comparison chart (S6) of elapsed time data Da1, Db1 and the Dc1 of 26 generations of chart generation portion.
Comparison chart having described elapsed time data Da1, Db1 and Dc1 is shown under the state of display part 14, and the user imports the generation of comparison chart and accomplishes indication (S7 is " being "), and data analysis set-up 1 finishes the comparison chart generation to be handled.
In addition, in processing example shown in Figure 7, data selection portion 23 obtains from data and selects the official hour sequence data the time series data that portion 21 obtains, but is not limited thereto.For example, the official hour sequence data also can be selected by data selection portion 23 from the time series data that data generation portion 22 generates.
In addition, in processing example shown in Figure 7, display control unit 27 makes the classification of time series data is had a guide look of demonstration after S1, but is not limited thereto.For example, display control unit 27 also can make display part 14 that data are obtained time series data that portion 21 obtains to be made into one or more chart and to show.At this moment, select one the sequence of user from the chart that is shown, and data selection portion 23 will confirm as the time series data that will be appended to comparison chart with the sequence time corresponding sequence data that the user selects.
In addition, in processing example shown in Figure 7, when user's specified portions time series data, generate chart and show, but be not limited thereto.For example, also can be that the user once specifies a plurality of part-time sequence datas, and generate and to have described to show based on the comparison chart of a plurality of elapsed time data of a plurality of part-time sequence datas of appointment.
In addition, in above-mentioned processing example, during the user specifies arbitrarily from same time series data D (that is, designated duration) brokenly, but be not limited thereto, also can from time series data, extract a plurality of part-time sequence datas regularly.For example, can be as shown in Figure 9, starting point and the cycle of user's fixed time sequence data D, and, from time series data D, extract a plurality of part-time sequence datas based on the starting point and cycle of appointment.In example shown in Figure 9; It is " 00:00 on July 17 " that the user specifies starting point; Designated period is " 1 day (00:00 ~ 23:59) ", data extract portion 24 from time series data D, extract " 00:00 ~ 23:59 on July 16 " during part-time sequence data Dd0, " 00:00 ~ 23:59 on July 15 " during part-time sequence data De0, " 00:00 ~ 23:59 on July 14 " during part-time sequence data Df0.
In addition, in above-mentioned processing example, from same time series data D, extract the part-time sequence data, but be not limited thereto, also can from a plurality of time series datas, extract the part-time sequence data respectively.
[sequence moves processing]
Below, the sequence of carrying out based on Figure 10 declarative data analytical equipment 1 moves processing.Figure 10 is the figure that the sequence of expression data analysis set-up 1 execution moves an example of processing.Here, shown in figure 11, suppose to have described 5 elapsed time data E1, F1, G1, H1, I1, and be depicted on the comparison chart with 5 elapsed time data E1, F1, G1, H1,5 sequence E2, F2, G2, H2, I2 that I1 is corresponding.Figure 11 is illustrated in sequence to move when handling the figure of picture displayed example on the display part 14.
Showing under the state of comparison chart that as Figure 11 (a) time migration portion 28 waits for that the user selects any sequence on the comparison chart.That is, time migration portion 28 waits for from operating portion 15 and sends the indicator signal (S11) that is used to select the sequence stipulated.
Here, shown in Figure 11 (b), suppose that the user has selected sequence E2.At this moment, time migration portion 28 receives the indicator signal (S11 is " being ") that is used to select sequence E2 from operating portion 15, and will select the advisory of the elapsed time data E1 corresponding with sequence E2 to give display control unit 27.Display control unit 27 then for example changes to thick line etc. through the curve with elapsed time data E1 if receive the notice that the situation of elapsed time data E1 has been selected in expression, thereby gives the user with the current advisory of elapsed time data E1 of having selected.
In the selecteed state of elapsed time data E1, time migration portion 28 waits for that user's input is used for the operation that the sequence E2 that selects is moved along the elapsed time direction of principal axis.That is, time migration portion 28 waits for sending from operating portion 15 and is used for indicator signal (S12) that the sequence E2 that selects is moved along the elapsed time direction of principal axis.
Here, shown in Figure 11 (b), suppose that the user has carried out being used for the operation along elapsed time direction of principal axis skew with sequence E2.At this moment; Time migration portion 28 receives from operating portion 15 and is used for indicator signal (S12 is " being ") that sequence E2 is moved along the elapsed time direction of principal axis; And the elapsed time of skew elapsed time data E1 corresponding with sequence E2, that chart generation portion 26 keeps, thereby generate elapsed time data E1 ' (S13).
Elapsed time data E1 ' after the skew that time migration portion 28 will generate outputs to chart generation portion 26.Then, chart generation portion 26 generates comparison chart based on the elapsed time data E1 ' of time migration portion 28 generations and elapsed time data F1, G1, H1, the I1 that self is kept.The comparison chart that display control unit 27 makes chart generation portion 26 generate is shown to display part 14 (S14).
In addition, in S12, the user is meant sequence E2, thereby for example click sequence E2 it is pulled along the elapsed time direction of principal axis along the operation of elapsed time direction of principal axis skew.
In addition, in S11, under the situation of the sequence of having selected regulation, display control unit 27 also can be presented at the measurement moment of the physical quantity that comprises in the elapsed time data corresponding with selected sequence based on the elapsed time data.In the example shown in Figure 11 (b), show that on the top of comparison chart the measurement corresponding with the physical quantity of sequence E2 constantly.In addition, at this moment, the user also can click and measure axle constantly, and make to measure constantly and axially move, thus mobile sequence.
Like this, based on the indication that sequence E2 ~ I2 is moved, the time of each data of the elapsed time data E1 ~ I1 that squints respectively, thereby shown in Figure 11 (c), can be with each elapsed time data of reference point alignment arbitrarily.Thereby, can compare the physical quantity that comprises in each elapsed time data easily.
Specifically, shown in figure 12, through reference point each sequence of aliging with regulation, thereby about a certain sequence, can be easily and differentiate accurately and in addition the difference of other sequences on waveform patterns.For example, in example shown in Figure 12, between each sequence in the time of time of rising and lunch break, middle waveform patterns manifests difference when finishing etc.Based on this difference, the sequence that can find to stipulate, i.e. physical quantity unusual etc. of the production equipment 4 of regulation.
[chart shows example]
Below, based on the demonstration processed of Figure 13 ~ comparison chart that Figure 17 declarative data analytical equipment 1 is carried out.Figure 13 is that the figure of picture displayed example on the display part 14 is dwindled when handling in the amplification that is illustrated in comparison chart.Figure 14 is the sequence selection that the is illustrated in comparison chart figure of picture displayed example on the display part 14 when handling.Figure 15 is the sequence that the is illustrated in comparison chart figure of picture displayed example on the display part 14 when change handling.Figure 16 is the figure of picture displayed example on the display part 14 when being illustrated in the chart classification hand-off process of comparison chart.Figure 17 is the periodic change that the is illustrated in comparison chart figure of picture displayed example on the display part 14 when handling.
At first, explain that based on Figure 13 the amplification of comparison chart dwindles an example of processing.Under the state that has shown the comparison chart shown in Figure 13 (a),, the user is used to amplify the operation of this scope if selecting the scope of stipulating, then shown in Figure 13 (b), the time shaft of the scope of display control unit 27 enlarged and displayed user appointments.Through this operation, the user can differentiate the detailed variation of the physical quantity of each sequence.
Below, based on Figure 14 the example that the sequence selection of comparison chart is handled is described.Shown in Figure 14 (a), suppose on comparison chart, to have shown 4 sequence L2, M2, N2, O2.Under this state, thereby the cancellation of the check box of suppose user clicks sequence N2 and O2 is chosen.At this moment, shown in Figure 14 (b), 27 of display control units are painted into sequence L2 and M2 on the comparison chart, and sequence N2 and O2 are made as non-demonstration.Like this, to the sequence that once is appended on the comparison chart, can be unit and switching displayed/non-demonstration with the sequence.
Below, explain that based on Figure 15 the sequence of comparison chart is changed an example of handling.Shown in Figure 15 (a), suppose that from top to bottom order with sequence P2, Q2 as cumulative chart, has shown two sequence P2 and Q2 on comparison chart.Under this state, suppose that the user has carried out changing the operation of the order of sequence P2 and Q2.At this moment, shown in Figure 15 (b), display control unit 27 is according to describing cumulative chart and show comparison chart with the order of sequence Q2, P2 from top to bottom.Like this, when each sequence is depicted on the comparison chart with the cumulative chart mode, can change the order of sequence.
Below, an example of the chart classification hand-off process of comparison chart is described based on Figure 16.Shown in Figure 16 (a), suppose on comparison chart, to have shown 4 sequence R2, S2, T2 and U2 with the cumulative chart mode.Under this state, suppose that the user has carried out being used to switching the operation of the classification of chart.For example, switch in the classification with chart under the situation of curve, shown in Figure 15 (b), display control unit 27 is painted into each sequence R2, S2, T2 and U2 on the comparison chart with the curve mode respectively.In addition, switch in the classification with chart under the situation of pie chart, shown in Figure 15 (c), display control unit 27 is painted into each sequence R2, S2, T2 and U2 on the comparison chart with the pie chart mode respectively.
In addition, switching under the situation of pie chart, calculate respectively will stipulate during the aggregate value of physical quantity of interior whole elapsed time data as the ratio of aggregate value sum, the physical quantity of each elapsed time data in specified time limit.
At last, based on Figure 17 the example that the periodic change of comparison chart is handled is described.Shown in Figure 17 (a), suppose on comparison chart, to have shown 4 sequence V2, W2, X2 and Y2 with the cumulative chart mode.In addition, suppose with 4 corresponding elapsed time data V1, W1, X1 and Y1 of sequence V2, W2, X2 and Y2 it is data of the variation of the per 10 minutes physical quantity of expression.That is, suppose that part-time sequence data V0, W0, X0 and Y0 as the source data of elapsed time data V1, W1, X1 and Y1 is the data that are illustrated in the variation of the physical quantity of measuring in per 10 minutes.
Under this state, suppose that the user has carried out changing to from " 10 minutes units " measuring period the operation of " 1 hour unit ".At this moment, chart generation portion 26 added up to according to per 1 hour elapsed time data V1, W1, X1 and Y1 to physical quantity, thereby generated the elapsed time data of the per 1 hour total physical quantity of expression respectively.For example, the value of 6 physical quantitys in 0 minute ~ 50 minutes elapsed time is added up to and be made as the physical quantity in 0 hour elapsed time, the value of 6 physical quantitys in 60 minutes ~ 110 minutes elapsed time is added up to and be made as the physical quantity in 1 hour elapsed time.Display control unit 27, is painted into 4 sequence V2, W2, X2 and Y2 on the comparison chart shown in Figure 17 (b) based on the elapsed time data of the per 1 hour total physical quantity of the newly-generated expression of chart generation portion 26.
[replenishing]
The invention is not restricted to above-mentioned embodiment, can in the scope shown in the claim, carry out various changes.That is the embodiment that, the suitable technological means that changes in the scope shown in the claim is made up gained is also contained in the technical scope of the present invention.
At last, each piece of data analysis set-up 1, especially control part 11 can constitute through hardware logic, also can suchly as follows use CPU and realizes through software.
That is, data analysis set-up 1 comprises the memory storage (recording medium) etc. of CPU (CPU), the ROM (ROM (read-only memory)) that has stored said procedure, the RAM (RAS) that launches said procedure, storage said procedure and the various memory of data etc. of the order of carrying out the control program be used to realize each function.And; Through offering data analysis set-up 1 with the recording medium that the mode of embodied on computer readable writes down as the program code (execute form program, intermediate code program, source program) of the control program of the data analysis set-up 1 of the software of realizing above-mentioned function; And read and carry out program recorded code in recording medium, thereby also can reach the object of the invention by this computing machine (perhaps CPU and MPU).
As aforementioned recording medium; For example, can use the semiconductor memory series etc. of the serial or mask ROM/EPROM/EEPROM/ flash ROM of the card of dish series, IC-card (comprising storage card)/light-card etc. of the CD of the band series of tape and cartridge tape etc., the disk that comprises soft (registered trademark) dish/hard disk etc. and CD-ROM/MO/MD/DVD/CD-R etc. etc.
In addition, also can data analysis set-up 1 be constituted and can be connected with communication network, and said procedure is provided via communication network.As this communication network; Not special the qualification for example can be utilized internet, in-house network, interim net, LAN, ISDN, VAN, CATV communication network, Virtual Private Network (virtual private network), telephone wire road network, mobile communicating net, satellite communication link etc.In addition; As the transmission medium that constitutes communication network; Do not limit especially; For example, no matter be that IEEE1394, USB, line of electric force propagation, cable TV circuit, telephone wire, adsl line etc. are wired, or wired can the utilization of the such infrared ray of IrDA and telepilot, bluetooth (registered trademark), 802.11 wireless, HDR, portable phone net, satellite circuit, earthwave digital network etc.In addition, the present invention's form that specialize with the electric transmission mode through the said procedure code, that embed the computer data signal of carrier wave also can realize.
The present invention can use the device that the physical quantity of production equipment is resolved/analyzed.

Claims (6)

1. a data comparison means is characterized in that, comprising:
Data obtain parts, obtain one or more time series data that the physical quantity of equipment and the measurement of having measured this physical quantity are associated constantly;
The data extract parts are obtained one or more time series data that parts obtain from above-mentioned data, extract a plurality of part-time sequence datas as the data of the specified time limit that in time series data, comprises;
The elapsed time calculating unit; Each of a plurality of part-time sequence datas that extract to above-mentioned data extract parts, calculate respectively for each that in this part-time sequence data, comprises measure constantly, from elapsed time that the benchmark of regulation begins constantly;
Chart generates parts; On with the single chart of above-mentioned elapsed time as axle; The elapsed time of calculating based on above-mentioned elapsed time calculating unit, thus the physical quantity of describing respectively to comprise in a plurality of part-time sequence datas that above-mentioned data extract parts extract generates the comparison chart of having described a plurality of sequences;
Input block is accepted the operation indication from the user; And
The time migration parts; Based on be input to above-mentioned input block, be used for operation indication that the sequence of the regulation on the comparison chart is moved along the elapsed time direction of principal axis; Elapsed time to the part-time sequence data of the above-mentioned sequence of expression on the above-mentioned comparison chart squints
Above-mentioned chart generates the elapsed time of parts after based on above-mentioned time migration parts skew, is depicted in the physical quantity that comprises in the part-time sequence data of the above-mentioned sequence of expression and describes above-mentioned sequence, and upgrade comparison chart.
2. data comparison means as claimed in claim 1 is characterized in that, also comprises:
Display control unit spare shows that above-mentioned chart generates the chart that parts generate,
If above-mentioned input block accepts to be used to select the operation indication of the sequence of the regulation on the comparison chart; Then above-mentioned display control unit spare is indicated based on aforesaid operations, the measurement moment that demonstration is corresponding with the physical quantity of the part-time sequence data of the above-mentioned sequence of on above-mentioned comparison chart, describing of expression.
3. according to claim 1 or claim 2 data comparison means is characterized in that, also comprises:
Data generate parts, obtain one or more time series data that parts are obtained according to above-mentioned data, generate new time series data,
Above-mentioned data extract parts are obtained time series data that parts obtain and/or above-mentioned data from above-mentioned data and are generated the time series data that parts generate, and extract a plurality of part-time sequence datas.
4. a data comparing method is characterized in that, comprising:
Data obtain step, obtain one or more time series data that the physical quantity of equipment and the measurement of having measured this physical quantity are associated constantly;
The data extract step from obtaining in above-mentioned data in one or more time series data that obtains the step, is extracted a plurality of part-time sequence datas as the data of the specified time limit that in time series data, comprises;
The elapsed time calculation procedure; To a plurality of part-time sequence datas that in above-mentioned data extract step, extract each, calculate respectively for each that in this part-time sequence data, comprises measure constantly, from elapsed time that the benchmark of regulation begins constantly;
Chart generates step; On with the single chart of above-mentioned elapsed time as axle; Be based on the elapsed time of calculating in the above-mentioned elapsed time calculation procedure, generate the comparison chart of having described a plurality of sequences thereby be depicted in the physical quantity that comprises in a plurality of part-time sequence datas that extract in the above-mentioned data extract step respectively;
Input step is accepted the operation indication from the user;
The time migration step; Be based on import in the above-mentioned input step, be used for operation indication that the sequence of the regulation on the comparison chart is moved along the elapsed time direction of principal axis, the elapsed time of the part-time sequence data of the above-mentioned sequence of expression on the above-mentioned comparison chart is squinted; And
The chart step of updating is based in the above-mentioned time migration step elapsed time after the skew, is depicted in the physical quantity that comprises in the part-time sequence data of the above-mentioned sequence of expression and describes above-mentioned sequence, and upgrade comparison chart.
5. a control program is used to make each described data comparison means of claim 1 to 3 to move, and computing machine is played a role as above-mentioned each parts.
6. the recording medium of an embodied on computer readable has write down the described control program of claim 5.
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JP6531548B2 (en) * 2015-08-05 2019-06-19 日本電気株式会社 Data processing apparatus, data processing method, and program
JP6409831B2 (en) * 2016-08-08 2018-10-24 住友電気工業株式会社 Management device and management program
TWI711911B (en) * 2018-03-20 2020-12-01 日商住友重機械工業股份有限公司 Abnormal monitoring device and abnormal monitoring method
JP6866872B2 (en) * 2018-04-25 2021-04-28 オムロン株式会社 Communication device, control method of communication device, external device, control method of external device, and control system
CN112055838B (en) 2018-05-10 2024-04-16 斯多里机械有限责任公司 Factory management and monitoring system and method
JP6493614B2 (en) * 2018-09-26 2019-04-03 住友電気工業株式会社 Management device and management program
JP2022059178A (en) 2020-10-01 2022-04-13 キヤノン株式会社 Information processing method, information processing device, control program, recording medium, goods manufacturing method, and learning data acquisition method
JP2022136606A (en) * 2021-03-08 2022-09-21 オムロン株式会社 Data analysis support device, and data analysis support method
JP7173414B1 (en) * 2021-10-19 2022-11-16 三菱電機株式会社 Plant operation support device

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002215226A (en) * 2001-01-16 2002-07-31 Shinko Electric Co Ltd Plant operation monitoring device, its controlling method, program, and recording medium
CN1675603A (en) * 2002-08-20 2005-09-28 东京毅力科创株式会社 Method for processing data based on the data context
CN1700215A (en) * 2004-05-18 2005-11-23 通用电气公司 System, method and product for obtaining data
JP2008052577A (en) * 2006-08-25 2008-03-06 Hitachi High-Technologies Corp Apparatus presenting operation state
JP2011090529A (en) * 2009-10-22 2011-05-06 Ulvac Japan Ltd Vacuum processor, graph line display method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003044132A (en) * 2001-07-26 2003-02-14 Toshiba Corp Device and method for monitoring plant and program

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002215226A (en) * 2001-01-16 2002-07-31 Shinko Electric Co Ltd Plant operation monitoring device, its controlling method, program, and recording medium
CN1675603A (en) * 2002-08-20 2005-09-28 东京毅力科创株式会社 Method for processing data based on the data context
CN1700215A (en) * 2004-05-18 2005-11-23 通用电气公司 System, method and product for obtaining data
JP2008052577A (en) * 2006-08-25 2008-03-06 Hitachi High-Technologies Corp Apparatus presenting operation state
JP2011090529A (en) * 2009-10-22 2011-05-06 Ulvac Japan Ltd Vacuum processor, graph line display method

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10156837B2 (en) 2014-03-14 2018-12-18 Omron Corporation Control systems for setting sampling timing
CN106062647A (en) * 2014-03-14 2016-10-26 欧姆龙株式会社 Control system
CN106062647B (en) * 2014-03-14 2019-04-02 欧姆龙株式会社 Control system
CN106251115A (en) * 2015-06-05 2016-12-21 阿自倍尔株式会社 Schedule management system and agenda managing method
CN106251115B (en) * 2015-06-05 2020-03-17 阿自倍尔株式会社 Schedule management system and schedule management method
CN107924173B (en) * 2015-11-30 2020-05-19 欧姆龙株式会社 Monitoring device, monitoring system, and computer-readable storage medium
CN107924173A (en) * 2015-11-30 2018-04-17 欧姆龙株式会社 Monitoring arrangement, monitoring system, monitoring program and recording medium
US10754332B2 (en) 2015-11-30 2020-08-25 Omron Corporation Monitoring device that performs monitoring on operations of an actual machine
CN108693864A (en) * 2017-03-31 2018-10-23 阿自倍尔株式会社 Apparatus for diagnosing deterioration
CN108693864B (en) * 2017-03-31 2021-06-25 阿自倍尔株式会社 Deterioration diagnosis device
CN108228783A (en) * 2017-12-27 2018-06-29 中国石油化工股份有限公司江汉油田分公司勘探开发研究院 Shale gas well collecting method and device
CN110096052A (en) * 2018-01-31 2019-08-06 欧姆龙株式会社 Control device and control method
CN111290335A (en) * 2018-12-06 2020-06-16 发那科株式会社 Processing time monitoring device
CN111290335B (en) * 2018-12-06 2024-03-08 发那科株式会社 Processing time monitoring device

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