WO2018109929A1 - Système d'extraction - Google Patents

Système d'extraction Download PDF

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Publication number
WO2018109929A1
WO2018109929A1 PCT/JP2016/087567 JP2016087567W WO2018109929A1 WO 2018109929 A1 WO2018109929 A1 WO 2018109929A1 JP 2016087567 W JP2016087567 W JP 2016087567W WO 2018109929 A1 WO2018109929 A1 WO 2018109929A1
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WO
WIPO (PCT)
Prior art keywords
signal
unit
importance
signal group
trace data
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Application number
PCT/JP2016/087567
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English (en)
Japanese (ja)
Inventor
智宏 服部
奈々穂 大澤
坂上　聡子
豊 松枝
寛 福永
Original Assignee
三菱電機株式会社
三菱電機ビルテクノサービス株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 三菱電機株式会社, 三菱電機ビルテクノサービス株式会社 filed Critical 三菱電機株式会社
Priority to KR1020197009562A priority Critical patent/KR102152218B1/ko
Priority to CN201680091113.4A priority patent/CN110383264B/zh
Priority to JP2018556147A priority patent/JP6575694B2/ja
Priority to PCT/JP2016/087567 priority patent/WO2018109929A1/fr
Publication of WO2018109929A1 publication Critical patent/WO2018109929A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance

Definitions

  • This invention relates to a search system.
  • a snapshot of the signal value indicating the state of the elevator is acquired.
  • this snapshot of the signal value is referred to as trace data.
  • Patent Document 1 describes an example of a system that detects an abnormality of acquired data.
  • An object of the present invention is to provide a search system capable of searching a signal group similar to a signal group including a plurality of signals with a simple configuration.
  • the search system includes a first storage unit storing a first signal group including a plurality of signals and a second signal group including a plurality of signals corresponding to the plurality of signals included in the first signal group.
  • a first calculating means for calculating a similarity between the signal included in the first signal group and the signal included in the second signal group for each corresponding signal, and the plurality of signals included in the first signal group.
  • the first signal based on the second storage means storing the importance for each signal, the similarity for each signal calculated by the first calculation means, and the importance for each signal stored in the second storage means Second calculating means for calculating the similarity between the group and the second signal group.
  • the first calculation means calculates the similarity between the signal included in the first signal group and the signal included in the second signal group for each corresponding signal.
  • the second storage means stores the importance of each signal for a plurality of signals included in the first signal group.
  • the second calculation means is based on the similarity for each signal calculated by the first calculation means and the importance for each signal stored in the second storage means, and the similarity between the first signal group and the second signal group. Is calculated.
  • FIG. 1 is a diagram illustrating an example of a search system according to Embodiment 1 of the present invention.
  • the search device 1 can communicate with a number of remote elevator devices.
  • Each elevator device includes, for example, a car 2 and a counterweight 3.
  • the car 2 and the counterweight 3 are suspended from the hoistway by the main rope 4.
  • the elevator hoisting machine includes, for example, a driving sheave 5 and an electric motor 6.
  • the main rope 4 is wound around the driving sheave 5.
  • the drive sheave 5 is driven by an electric motor 6.
  • the electric motor 6 is controlled by a control panel 7.
  • a communication device 8 is connected to the control panel 7.
  • the communication device 8 communicates with an external device.
  • Each elevator device communicates with the search device 1 via the communication device 8.
  • Trace data is an example of a signal group including a plurality of signals.
  • the trace data includes a signal for specifying the elevator apparatus itself.
  • the trace data includes a signal indicating the time.
  • the trace data includes a signal indicating the current value of the control panel 7.
  • the trace data includes a signal indicating the voltage value of the control panel 7.
  • the trace data includes a signal indicating the speed of the electric motor 6.
  • the trace data includes a signal indicating the torque of the electric motor 6.
  • the trace data includes a signal indicating the open / closed state of the door.
  • a signal indicating the position of the car 2 is included in the trace data.
  • the trace data includes a signal indicating the operating state of the safety device.
  • the signals included in the trace data are not limited to these examples. Some of the exemplified signals may not be included in the trace data. Other signals may be included in the trace data.
  • FIG. 2 is a diagram showing an example of trace data.
  • FIG. 2 shows an example of four trace data.
  • the notation of the signal included in the trace data is not limited to one type.
  • a signal expressed in binary, a signal expressed in hexadecimal, and a signal expressed in decimal may be included in one trace data.
  • One trace data may include signals having various signal lengths.
  • the communication device 8 acquires trace data when the failure occurs.
  • the communication device 8 may acquire trace data for a certain time before and after the occurrence of the failure.
  • the timing for acquiring the trace data is not limited to when a failure occurs.
  • the communication device 8 may acquire trace data periodically.
  • the communication device 8 transmits the acquired trace data to the search device 1.
  • FIG. 3 is a diagram illustrating an example of the search device 1.
  • the search device 1 includes, for example, a receiving unit 9, a first storage unit 10, a first calculation unit 11, a second storage unit 12, a second calculation unit 13, a display control unit 14, and a display 15.
  • functions and operations of the search device 1 will be described with reference to FIGS. 4 and 5 are flowcharts showing an operation example of the search system according to Embodiment 1 of the present invention.
  • trace data is transmitted from the communication device 8 of the elevator device to the search device 1.
  • the trace data transmitted from the communication device 8 is received by the receiving unit 9 in the search device 1 (S101).
  • the trace data received by the receiving unit 9 is stored in the first storage unit 10 (S102).
  • a large number of trace data is accumulated in the first storage unit 10.
  • FIG. 5 shows an example of a processing flow for searching for trace data similar to the trace data X1.
  • the trace data X1 is one of the trace data stored in the first storage unit 10.
  • the trace data X1 may be the latest trace data stored in the first storage unit 10.
  • a number of trace data may be stored in the first storage unit 10 after the trace data X1 is stored in the first storage unit 10.
  • the first calculation unit 11 reads the trace data X1 from the first storage unit 10 (S201).
  • the trace data X1 includes, for example, a signal A1, a signal A2, a signal A3,.
  • N is a natural number of 3 or more, for example. N may be a natural number of 100 or more.
  • the signal A1 included in the trace data X1 is expressed as a signal A11.
  • the signal A2 included in the trace data X1 is denoted as signal A21.
  • the signal A3 included in the trace data X1 is denoted as signal A31.
  • the signal AN included in the trace data X1 is denoted as signal AN1.
  • the first calculation unit 11 reads one trace data other than the trace data X1 from the trace data stored in the first storage unit 10 (S202).
  • the first calculation unit 11 reads the trace data X2 from the first storage unit 10.
  • the trace data X2 includes a plurality of signals corresponding to the plurality of signals included in the trace data X1.
  • the trace data X2 includes a signal A1, a signal A2, a signal A3,..., And a signal AN.
  • the signal A1 included in the trace data X2 is expressed as a signal A12.
  • the signal A2 included in the trace data X2 is expressed as a signal A22.
  • the signal A3 included in the trace data X2 is denoted as signal A32.
  • the signal AN included in the trace data X2 is denoted as signal AN2.
  • the signal A12 is a signal corresponding to the signal A11.
  • the signal A11 and the signal A12 are signals indicating time.
  • the signal A22 is a signal corresponding to the signal A21.
  • the signal A 21 and the signal A 22 are signals indicating the current value of the control panel 7.
  • the signal A32 is a signal corresponding to the signal A31.
  • the signal A31 and the signal A32 are signals indicating the torque of the electric motor 6.
  • the signal AN2 is a signal corresponding to the signal AN1.
  • the first calculation unit 11 calculates the similarity between the signal included in the trace data X1 and the signal included in the trace data X2 for each corresponding signal (S203). For example, the first calculation unit 11 calculates the similarity between the signal A11 and the signal A12. Similarly, the first calculator 11 calculates the similarity between the signal A21 and the signal A22. The first calculator 11 calculates the similarity between the signal A31 and the signal A32. The first calculator 11 calculates the similarity between the signal AN1 and the signal AN2.
  • 6 and 7 are diagrams for explaining the function of the first calculation unit 11.
  • the first calculation unit 11 calculates the similarity for each signal using dynamic programming.
  • 6 and 7 show examples of calculating the similarity between the signal A11 and the signal A12.
  • the signal A11 is 00000111.
  • the signal A12 is 00001111.
  • one signal is arranged vertically as shown in FIGS. 6 and 7, and the other signal is arranged horizontally.
  • a value is input from the upper left cell to the lower right cell while considering the movement penalty and the mismatch penalty.
  • the route having the minimum value is searched from the upper left cell toward the lower right cell.
  • the movement penalty in the right direction is +1.
  • the downward movement penalty is +1.
  • the movement penalty in the diagonal direction to the lower right is zero.
  • the penalty when the values match is 0. If the values do not match, the penalty is +1.
  • the similarity between the signal A11 and the signal A12 is calculated as 1.
  • the movement penalty in the right direction is +1.
  • the downward movement penalty is +1.
  • the movement penalty in the diagonal direction to the lower right is zero.
  • the penalty when the values match is 0. If the values do not match, the penalty is +3.
  • the similarity between the signal A11 and the signal A12 is calculated as 2.
  • the similarity value calculated by the first calculation unit 11 decreases as the signals to be compared are similar to each other.
  • the calculation method may be set so that the similarity calculated by the first calculation unit 11 becomes the maximum value when the two signals have the same value.
  • the maximum value of the calculated similarity may be set to 1 or 100 or the like.
  • the moving penalty setting method and the mismatch penalty setting method are not limited to the examples shown in FIGS.
  • the method by which the first calculator 11 calculates the similarity is not limited to dynamic programming.
  • the second storage unit 12 stores the importance of each signal for a plurality of signals included in the trace data.
  • the trace data X1 includes a signal A1, a signal A2, a signal A3,.
  • the trace data X2 includes a signal A1, a signal A2, a signal A3,. For this reason, the importance of the signal A1, the importance of the signal A2, the importance of the signal A3,..., And the importance of the signal AN are stored in the second storage unit 12.
  • the second calculation unit 13 reads the importance of each signal from the second storage unit 12 (S204). Next, the second calculator 13 calculates the similarity between the trace data X1 and the trace data X2 (S205). The second calculation unit 13 performs the calculation based on the similarity for each signal calculated by the first calculation unit 11 and the importance for each signal stored in the second storage unit 12. For example, the second calculation unit 13 calculates the similarity according to the following equation.
  • (Similarity between trace data X1 and trace data X2) (Similarity of signal A1) ⁇ (importance of signal A1) + (Similarity of signal A2) ⁇ (importance of signal A2) + (Similarity of signal A3) x (importance of signal A3) : + (Similarity of signal AN) x (importance of signal AN)
  • the method by which the second calculation unit 13 calculates the similarity is not limited to the above example.
  • the maximum value of the similarity calculated by the second calculator 13 may be set to 1 or 100 or the like.
  • the first storage unit 10 stores a lot of trace data.
  • the first storage unit 10 stores trace data X1, trace data X2, trace data X3,..., And trace data XM.
  • M is a natural number of 3 or more, for example.
  • the first calculation unit 11 reads the trace data X3 from the first storage unit 10 (S202).
  • the trace data X3 includes a plurality of signals corresponding to the plurality of signals included in the trace data X1.
  • the trace data X3 includes a signal A1, a signal A2, a signal A3,.
  • the first calculator 11 calculates the similarity between the signal included in the trace data X1 and the signal included in the trace data X3 for each corresponding signal (S203).
  • the second calculation unit 13 determines whether the trace data X1 and the trace data X3 are based on the similarity for each signal calculated by the first calculation unit 11 and the importance for each signal stored in the second storage unit 12. The similarity is calculated (S205).
  • the trace data for calculating the similarity with the trace data X1 may be a part of the trace data described in the first storage unit 10. For example, when the trace data X1 to the trace data X1000000 are stored in the first storage unit 10, the similarity to the trace data X1 may be calculated for each trace data from the trace data X2 to the trace data X1000. For each trace data from the trace data X300000 to the trace data X399999, the similarity to the trace data X1 may be calculated.
  • the display control unit 14 controls the display 15.
  • the display controller 14 causes the display 15 to display the similarity calculated by the second calculator 13 (S207).
  • FIG. 8 is a diagram showing a display example of the display 15.
  • FIG. 8 shows an example in which the information specifying the trace data, the similarity calculated by the second calculator 13 and the corresponding content are displayed on the display unit 15 in association with each other.
  • information specifying the trace data is displayed from the top in descending order of the calculated similarity. For example, if the similarity between the trace data X1 and the trace data X2 is the highest among the calculated similarities, the information for specifying the trace data X2, the calculated similarity, and the corresponding content are the highest. Displayed in the column.
  • FIG. 8 shows an example in which information indicating the building number provided with the elevator apparatus and the date and time when the failure occurred is displayed as information specifying the trace data.
  • the correspondence content is information input after maintenance by the maintenance staff who actually performed the operation.
  • a signal group similar to a signal group including a plurality of signals can be searched with a simple configuration. Since the similarity of the signal group is calculated based on the similarity for each signal and the importance for each signal, a highly accurate search is possible.
  • FIG. 9 is a diagram illustrating another example of the search device 1.
  • FIG. 9 shows an example in which two sets of importance are stored in the second storage unit 12 as the simplest example. Three or more sets of importance may be stored in the second storage unit 12.
  • the search device 1 performs the processing shown in S201 to S203 similarly to the above-described example.
  • the second calculation unit 13 reads one set of importance from the two sets of importance stored in the second storage unit 12 (S204).
  • the second calculator 13 determines the importance level to be read based on preset conditions. For example, the 2nd calculation part 13 determines the importance read according to the date when the trace data X1 was acquired.
  • the second calculation unit 13 may determine the importance level to be read according to the presence or absence of a specific request. For example, the second calculation unit 13 reads one importance level only when the request is made. If there is no request, the second calculation unit 13 reads the other importance.
  • the second calculator 13 may determine the importance level to be read according to the value of a specific signal included in the trace data X1. For example, if the value of the signal A9 included in the trace data X1 is 0, the second calculation unit 13 reads one importance level. If the value of the signal A9 included in the trace data X1 is 1, the second calculation unit 13 reads the other importance.
  • the second calculator 13 calculates the similarity between the trace data X1 and the trace data X2 based on the similarity for each signal calculated by the first calculator 11 and the importance for each signal read in S204. (S205).
  • FIG. 10 is a diagram illustrating another example of the search device 1.
  • the second storage unit 12 stores the importance for the combination of the signal A1 and the signal A2 and the importance for the combination of the signal A6 and the signal A8.
  • the degree of importance for a combination of three or more signals may be stored in the second storage unit 12.
  • the second storage unit 12 may store the importance for the combination of the signal A1, the signal A2, and the signal A3.
  • the search device 1 performs the processing shown in S201 and S202 in the same manner as the above-described example.
  • the first calculator 11 calculates the similarity between the signal included in the trace data X1 and the signal included in the trace data X2 for each corresponding signal (S203). Further, the first calculation unit 11 calculates the similarity of a specific signal combination in S203. In the example illustrated in FIG. 10, the first calculation unit 11 calculates the similarity between the combination of the signal A1 and the signal A2 included in the trace data X1 and the combination of the signal A1 and the signal A2 included in the trace data X2. . The first calculator 11 calculates the similarity between the combination of the signal A6 and the signal A8 included in the trace data X1 and the combination of the signal A6 and the signal A8 included in the trace data X2.
  • the first calculation unit 11 determines whether or not the signal A1 included in the trace data X1 matches the signal A1 included in the trace data X2.
  • the first calculator 11 determines whether or not the signal A2 included in the trace data X1 matches the signal A2 included in the trace data X2. If both match, the first calculation unit 11 calculates the similarity of the combination of the signal A1 and the signal A2 as 1.
  • the first calculation unit 11 calculates the similarity of the combination of the signal A1 and the signal A2 as 0 when both do not match or only one matches.
  • the method for calculating the similarity is not limited to the above example.
  • the second calculation unit 13 reads the importance of each signal from the second storage unit 12 (S204). Furthermore, the second calculation unit 13 reads the importance of the combination of specific signals in S204.
  • the second calculation unit 13 determines whether the trace data X1 and the trace data X2 are based on the similarity for each signal calculated by the first calculation unit 11 and the importance for each signal stored in the second storage unit 12.
  • the similarity is calculated (S205). Further, in S205, the second calculation unit 13 is based on the similarity of the specific signal combination calculated by the first calculation unit 11 and the importance of the specific signal combination stored in the second storage unit 12. Thus, the calculated similarity is corrected.
  • the second calculator 13 corrects the similarity according to the following equation.
  • the similarity can be calculated in consideration of a combination of specific signals. For this reason, the accuracy of the calculated similarity can be further improved.
  • FIG. 11 is a diagram showing another display example of the display 15.
  • FIG. 11 shows an example in which information indicating similar signals is displayed in association with information specifying trace data.
  • the search device 1 performs the processing shown in S201 to S206 as in the above-described example.
  • the display control unit 14 causes the display unit 15 to display the similarity calculated by the second calculation unit 13 (S207). Further, the display control unit 14 causes the display device 15 to display information indicating a similar signal.
  • the display control unit 14 specifies the similar signal based on the similarity for each signal calculated by the first calculation unit 11 and the importance for each signal stored in the second storage unit 12. For example, when the similarity of the signal calculated by the first calculation unit 11 is higher than the reference value and the importance of the signal stored in the second storage unit 12 is higher than the reference value, the display control unit 14 The signal is identified as a similar signal.
  • the display control unit 14 is similar when the product of the similarity of the signal calculated by the first calculation unit 11 and the importance of the signal stored in the second storage unit 12 is higher than the reference value. You may specify that it is a signal.
  • the number of similar signals may be set as three in advance, and three signals having the largest product value may be identified as similar signals.
  • the signal information that contributes to increasing the similarity of the trace data can be displayed on the display unit 15 in association with the calculated similarity.
  • the signal information displayed on the display 15 it is possible to more accurately determine, for example, whether or not the current failure case is a past failure case.
  • FIG. FIG. 12 is a diagram showing an example of the search device 1 provided in the search system according to Embodiment 2 of the present invention.
  • the overall view of the search system is the same as FIG.
  • the search device 1 includes, for example, an input unit 16, a first storage unit 10, a first calculation unit 11, a second storage unit 12, a second calculation unit 13, a display control unit 14, and a display 15 in addition to the input unit 16, the first storage unit 10. 1 determination part 17, the 2nd determination part 18, and the update part 19 are further provided.
  • Each function of the receiving unit 9, the first storage unit 10, the first calculation unit 11, the second storage unit 12, the second calculation unit 13, the display control unit 14, and the display unit 15 is any of those disclosed in the first embodiment.
  • the function is the same as When searching for trace data similar to the trace data X1, for example, the processing shown in FIG. 5 is performed.
  • the second storage unit 12 may store the importance of specific signal combinations in addition to the importance for each signal.
  • FIG. 13 is a flowchart showing an example of operation of the search system according to Embodiment 2 of the present invention.
  • the trace data X1 is transmitted from the communication device 8 of the elevator device to the search device 1.
  • the maintenance staff arrives at the building equipped with the elevator device in which the failure has occurred, the maintenance staff operates the terminal connected to the search device 1 to display information on the trace data similar to the trace data X1. 15 is displayed. The maintenance staff looks at the contents displayed on the display 15 to infer the cause of the failure or to refer to it when repairing.
  • FIG. 14 is a diagram showing a display example of the display 15.
  • FIG. 14 shows an example in which the display control unit 14 causes the display 15 to display a similarity determination column in S207 of FIG.
  • the maintenance staff inputs the response content for the current failure case from the input unit 16.
  • Information input from the input unit 16 is stored in the first storage unit 10 as the corresponding content of the trace data X1.
  • the maintenance staff inputs his / her judgment on the search result from the input unit 16. For example, as in the example illustrated in FIG. 14, a check box indicating similarity and a check box indicating dissimilarity are displayed in the similarity determination column.
  • the maintenance staff checks the similar check box if the current failure case is similar to the past failure case whose similarity is calculated as 95.8%.
  • the maintenance staff checks a dissimilar check box if the current failure case is not similar to a past failure case whose similarity is calculated to be 95.8%. That is, the maintenance staff inputs feedback on the search result.
  • the display of the check box may be performed for a plurality of cases. For example, check boxes may be displayed for past failure cases whose similarity is calculated to be 92.1%. In the following, an example in which the trace data whose similarity is calculated to be 95.8% is the trace data X2 will be described.
  • the input unit 16 is a device for inputting information.
  • the input unit 16 is a keyboard and a mouse.
  • the input unit 16 may be a touch panel.
  • the input unit 16 is not limited to these examples.
  • the search device 1 determines whether or not feedback input for the search result has been performed (S301). In the example shown in FIG. 14, it is determined whether a similar check box or a dissimilar check box is checked for the trace data X2.
  • the first determination unit 17 determines whether or not the trace data X1 and the trace data X2 are similar based on the information input from the input unit 16 (S302). For example, when the similar check box is checked, the first determination unit 17 determines that the trace data X1 and the trace data X2 are similar. When the dissimilar check box is checked, the first determination unit 17 determines that the trace data X1 and the trace data X2 are dissimilar.
  • the second determination unit 18 determines for each corresponding signal whether or not the signal included in the trace data X1 is similar to the signal included in the trace data X2 (S303). For example, the second determination unit 18 determines whether or not the signal A11 and the signal A12 are similar. Similarly, the second determination unit 18 determines whether the signal A21 and the signal A22 are similar. The second determination unit 18 determines whether the signal A31 and the signal A32 are similar. The second determination unit 18 determines whether the signal AN1 and the signal AN2 are similar.
  • the second determination unit 18 performs the above determination based on a preset condition.
  • the second determination unit 18 may determine that the signals are similar when the similarity calculated by the first calculation unit 11 exceeds the reference value.
  • the second determination unit 18 may perform the above determination based on whether or not the signal values match. For example, when the signal A1 is a binary signal, the second determination unit 18 determines that both are similar if the signal A11 is 1 and the signal A12 is 1.
  • the second determination unit 18 determines that both are similar if the signal A11 is 0 and the signal A12 is 0. If the signal A11 is 1 and the signal A12 is 0, the second determination unit 18 determines that the two are dissimilar. If the signal A11 is 0 and the signal A12 is 1, the second determination unit 18 determines that the two are dissimilar.
  • the method by which the second determination unit 18 determines is not limited to the above example.
  • the update unit 19 updates the importance of each signal stored in the second storage unit 12 (S304).
  • the update unit 19 performs the update based on the result determined by the first determination unit 17 and the result determined by the second determination unit 18.
  • the function of the updating unit 19 will be described in detail with reference to Tables 1 and 2.
  • the first determination unit 17 determines that the trace data X1 and the trace data X2 are similar.
  • the value of the signal A1 included in the trace data X1 is 0.
  • the value of the signal A1 included in the trace data X2 is 0.
  • the second determination unit 18 determines that the signal A11 and the signal A12 are similar.
  • the determination of the first determination unit 17 is based on the determination of the maintenance staff.
  • the determination of the second determination unit 18 is based on the value of the signal included in the trace data. If the determination by the first determination unit 17 and the determination by the second determination unit 18 match, the update unit 19 updates the importance so that the importance of the signal is increased.
  • the updating unit 19 causes the second storage unit 12 to store a value obtained by multiplying the importance level of the signal A1 stored in the second storage unit 12 by 1.5 as the importance level of the updated signal A1.
  • the importance change rate is not limited to 1.5 times.
  • the value of the signal A2 included in the trace data X1 is 0.
  • the value of the signal A2 included in the trace data X2 is 1.
  • the second determination unit 18 determines that the signal A21 and the signal A22 are dissimilar. If the determination by the first determination unit 17 and the determination by the second determination unit 18 do not match, the update unit 19 updates the importance so that the importance of the signal becomes low. For example, the updating unit 19 causes the second storage unit 12 to store a value obtained by multiplying the importance of the signal A2 stored in the second storage unit 12 by 0.5 as the importance of the updated signal A2.
  • the importance change rate is not limited to 0.5 times.
  • the updating unit 19 updates the importance of the signal A3,... And the importance of the signal AN.
  • the first determination unit 17 determines that the trace data X1 and the trace data X2 are dissimilar.
  • the value of the signal A1 included in the trace data X1 is 0.
  • the value of the signal A1 included in the trace data X2 is 0.
  • the second determination unit 18 determines that the signal A11 and the signal A12 are similar. If the determination by the first determination unit 17 and the determination by the second determination unit 18 do not match, the update unit 19 updates the importance so that the importance of the signal becomes low. For example, the updating unit 19 causes the second storage unit 12 to store a value obtained by multiplying the importance of the signal A1 stored in the second storage unit 12 by 0.5 as the importance of the updated signal A1.
  • the value of the signal A2 included in the trace data X1 is 0.
  • the value of the signal A2 included in the trace data X2 is 1.
  • the second determination unit 18 determines that the signal A21 and the signal A22 are dissimilar. If the determination by the first determination unit 17 and the determination by the second determination unit 18 match, the update unit 19 updates the importance so that the importance of the signal is increased. For example, the updating unit 19 causes the second storage unit 12 to store a value obtained by multiplying the importance level of the signal A2 stored in the second storage unit 12 by 1.5 as the importance level of the updated signal A2.
  • the updating unit 19 updates the importance of the signal A3,... And the importance of the signal AN.
  • the maintenance staff checks the similar check box for the trace data X2. For this reason, the first determination unit 17 determines that the trace data X1 and the trace data X2 are similar. On the other hand, for the trace data X3, the maintenance staff checks a dissimilar check box. For this reason, the 1st determination part 17 determines with the trace data X1 and the trace data X3 being dissimilar.
  • the value of the signal A1 included in the trace data X1 is 0.
  • the value of the signal A1 included in the trace data X2 is 0.
  • the second determination unit 18 determines that the signal A11 and the signal A12 are similar. This determination of the second determination unit 18 coincides with the determination of the first determination unit 17 for the trace data X1 and the trace data X2.
  • the value of the signal A1 included in the trace data X3 is 1.
  • the second determination unit 18 determines that the signal A11 and the signal A13 are dissimilar. This determination of the second determination unit 18 coincides with the determination of the first determination unit 17 for the trace data X1 and the trace data X3.
  • the update unit 19 updates the importance so that the importance of the signal is increased.
  • the updating unit 19 causes the second storage unit 12 to store a value obtained by multiplying the importance level of the signal A1 stored in the second storage unit 12 by 1.5 as the importance level of the updated signal A1.
  • the value of the signal A2 included in the trace data X1 is 0.
  • the value of the signal A2 included in the trace data X2 is 1.
  • the second determination unit 18 determines that the signal A21 and the signal A22 are dissimilar. This determination of the second determination unit 18 does not coincide with the determination of the first determination unit 17 for the trace data X1 and the trace data X2.
  • the value of the signal A2 included in the trace data X3 is 0.
  • the second determination unit 18 determines that the signal A21 and the signal A23 are similar. This determination of the second determination unit 18 does not coincide with the determination of the first determination unit 17 for the trace data X1 and the trace data X3.
  • the update unit 19 updates the importance so that the importance of the signal becomes low. For example, the updating unit 19 causes the second storage unit 12 to store a value obtained by multiplying the importance of the signal A2 stored in the second storage unit 12 by 0.5 as the importance of the updated signal A2.
  • the value of the signal A3 included in the trace data X1 is zero.
  • the value of the signal A3 included in the trace data X2 is 0.
  • the second determination unit 18 determines that the signal A31 and the signal A32 are similar. This determination of the second determination unit 18 coincides with the determination of the first determination unit 17 for the trace data X1 and the trace data X2.
  • the value of the signal A3 included in the trace data X3 is 0.
  • the second determination unit 18 determines that the signal A31 and the signal A33 are similar. This determination of the second determination unit 18 does not coincide with the determination of the first determination unit 17 for the trace data X1 and the trace data X3.
  • the update unit 19 updates the importance so that the importance of the signal becomes low.
  • the updating unit 19 causes the second storage unit 12 to store a value obtained by multiplying the importance of the signal A3 stored in the second storage unit 0.5 by 0.5 as the importance of the updated signal A3.
  • the updating unit 19 causes the second storage unit 12 to store a value obtained by multiplying the importance of the signal A3 stored in the second storage unit 12 by, for example, 0.9, as the importance of the updated signal A3. May be.
  • the first determination unit 17 When the feedback of the maintenance staff is input to the search result, the first determination unit 17 performs a similar or dissimilar determination.
  • the importance level of each signal stored in the second storage unit 12 is updated each time the first determination unit 17 makes a determination.
  • the importance level of each signal stored in the second storage unit 12 is updated every time the first determination unit 17 performs the determination twice.
  • the timing for updating the importance of each signal is not limited to the above example.
  • the importance level may be updated every time the first determination unit 17 performs the determination ten times.
  • the importance may be updated when the set date / time is reached.
  • the importance of each signal stored in the second storage unit 12 can be updated.
  • the judgment of the maintenance staff can be reflected in the importance value of each signal. Since the importance of each signal is updated, the search accuracy is improved. The importance level is updated for each signal, but the maintenance staff inputs only information on whether or not the trace data is similar. For this reason, the labor of maintenance personnel can be reduced.
  • the maintenance staff inputs the corresponding content he / she has performed from the input unit 16 as a comment on the trace data X1, for example.
  • the first storage unit 10 stores correspondence contents performed in the past as comments on the trace data X2.
  • the first determination unit 17 may determine whether or not the trace data X1 and the trace data X2 are similar based on the comment for the trace data X1 and the comment for the trace data X2.
  • the first determination unit 17 decomposes a comment for the trace data X1 for each word.
  • the 1st determination part 17 decomposes
  • the first determination unit 17 determines that the trace data X1 and the trace data X2 are similar when any word included in the comment for the trace data X2 is included in the comment for the trace data X1.
  • the first determination unit 17 determines that the trace data X1 and the trace data X2 are dissimilar when any word included in the comment for the trace data X2 is not included in the comment for the trace data X1.
  • Table 4 shows examples of comments for the trace data.
  • the word “YZ substrate” is included in both the comment on the trace data X1 and the comment on the trace data X2. For this reason, the first determination unit 17 determines that the trace data X1 and the trace data X2 are similar.
  • a maintenance staff may enter a device in Japanese, and a maintenance staff may enter the device in English.
  • a maintenance staff may input a device in industry terms, and a maintenance staff may enter the device in company terms. For this reason, a similar term collection may be registered in the search device 1 in advance. Table 5 shows an example of a similar glossary.
  • the first determination unit 17 regards the YZ substrate and the substrate ABC as the same term. Similarly, the first determination unit 17 regards the ZZ switch and SW-ZZ as the same term.
  • the first determination unit 17 determines whether or not the trace data X1 and the trace data X2 are similar based only on the terms listed in the similar terminology. It may be determined.
  • FIG. FIG. 15 is a diagram showing an example of the search device 1 provided in the search system according to Embodiment 3 of the present invention.
  • the overall view of the search system is the same as FIG.
  • the search device 1 includes, for example, a reception unit 9, a first storage unit 10, a first calculation unit 11, a second storage unit 12, a second calculation unit 13, a display control unit 14, a display unit 15, an input unit 16, and a first determination.
  • a third determination unit 20 is further provided.
  • Each function of the receiving unit 9, the first storage unit 10, the first calculation unit 11, the second storage unit 12, the second calculation unit 13, the display control unit 14, and the display unit 15 is any of those disclosed in the first embodiment.
  • the function is the same as When searching for trace data similar to the trace data X1, for example, the processing shown in FIG. 5 is performed.
  • the second storage unit 12 may store the importance of specific signal combinations in addition to the importance for each signal.
  • functions of the input unit 16, the first determination unit 17, the second determination unit 18, and the update unit 19 are the same as any of the functions disclosed in the second embodiment. It is.
  • FIG. 16 is a flowchart showing an example of operation of the search system according to Embodiment 3 of the present invention.
  • the processes shown in S401 to S403 in FIG. 16 are the same as the processes shown in S301 to S303 in FIG.
  • the first determination unit 17 determines whether, for example, the trace data X1 and the trace data X2 are similar based on the information input from the input unit 16 (S402).
  • the second determination unit 18 determines for each corresponding signal whether or not the signal included in the trace data X1 is similar to the signal included in the trace data X2 (S403).
  • the third determination unit 20 determines whether or not the value of the signal included in the trace data X1 is a special value corresponding to a preset condition (S404).
  • S404 a preset condition
  • Table 6 shows an example of the contents stored in the first storage unit 10. For example, regarding the signal A2, the value rarely becomes 1, and the value is often 0. If the value of the signal A2 is 1, the third determination unit 20 determines that the value is a special value.
  • the third determination unit 20 performs the above determination based on a preset condition. For example, the third determination unit 20 determines that the value of a signal is a special value if the appearance frequency of the value of a signal is equal to or less than a reference value. For example, the reference value is set to 3%. Assume that the frequency at which the value of the signal A2 is 0 is 99%, and the frequency at which the value of the signal A2 is 1 is 1%. In this case, if the value of the signal A2 is 0, the third determination unit 20 does not determine that the value is a special value. If the value of the signal A2 is 1, the third determination unit 20 determines that the value is a special value.
  • the reference value for determining whether or not the value of the signal is a special value is not limited to the above example. When the signal has various values, the third determination unit 20 may perform the above determination based on the degree of variation such as standard deviation.
  • the update unit 19 updates the importance of each signal stored in the second storage unit 12 (S405).
  • the update unit 19 performs the update based on the result determined by the first determination unit 17, the result determined by the second determination unit 18, and the result determined by the third determination unit 20.
  • the first determination unit 17 determines that the trace data X1 and the trace data X2 are similar.
  • the value of the signal A2 included in the trace data X1 is 1.
  • the value of the signal A2 included in the trace data X2 is 1.
  • the second determination unit 18 determines that the signal A21 and the signal A22 are similar.
  • the update unit 19 has a special signal value compared to the case where the third determination unit 20 determines that the signal value is not a special value.
  • the importance of the signal is updated so that the importance is higher when it is determined by the third determination unit 20 to be a small value. That is, regarding the signal A2, the importance after update when both the signal A21 and the signal A22 are 1 is higher than the importance after update when both the signal A21 and the signal A22 are 0.
  • the updating unit 19 has, for example, a value obtained by multiplying the importance of the signal A2 stored in the second storage unit 12 by 1.5, and further 1 or more.
  • the importance of the signal A2 is updated by multiplying by a constant.
  • the update unit 19 sets the value obtained by multiplying the importance of the signal A2 stored in the second storage unit 1.5 by 1.5 and the reciprocal of the application frequency as the importance of the updated signal A2. It may be stored in the storage unit 12. As a result, it is possible to update the signal value with a low appearance frequency as important.
  • the second storage unit 12 may store two importance levels as the importance level of the signal.
  • the second storage unit 12 may store the importance of the signal A2 when the value is 0 and the importance of the signal A2 when the value is 1.
  • FIG. 17 is a diagram showing an example of the search device 1 provided in the search system according to Embodiment 4 of the present invention.
  • the overall view of the search system is the same as FIG.
  • the search device 1 includes, for example, a reception unit 9, a first storage unit 10, a first calculation unit 11, a second storage unit 12, a second calculation unit 13, a display control unit 14, a display unit 15, an input unit 16, and a first determination.
  • a fourth determination unit 21 is further provided.
  • Each function of the receiving unit 9, the first storage unit 10, the first calculation unit 11, the second storage unit 12, the second calculation unit 13, the display control unit 14, and the display unit 15 is any of those disclosed in the first embodiment.
  • the function is the same as When searching for trace data similar to the trace data X1, for example, the processing shown in FIG. 5 is performed.
  • the second storage unit 12 may store the importance of specific signal combinations in addition to the importance for each signal.
  • any of the functions disclosed in the second or third embodiment is not described in detail in the present embodiment. Is the same.
  • the search device 1 may further include a third determination unit 20.
  • FIG. 18 is a flowchart showing an example of operation of the search system according to Embodiment 4 of the present invention.
  • the processes shown in S501 to S503 in FIG. 18 are the same as the processes shown in S301 to S303 in FIG.
  • the first determination unit 17 determines, for example, whether the trace data X1 and the trace data X2 are similar based on the information input from the input unit 16 (S502).
  • the second determination unit 18 determines for each corresponding signal whether or not the signal included in the trace data X1 is similar to the signal included in the trace data X2 (S503).
  • the fourth determination unit 21 determines whether the similarity between the trace data X1 and the trace data X2 calculated by the second calculation unit 13 is higher than a reference value (S504).
  • the update unit 19 updates the importance of each signal stored in the second storage unit 12 (S505).
  • the update unit 19 performs the update based on the result determined by the first determination unit 17, the result determined by the second determination unit 18, and the result determined by the fourth determination unit 21.
  • the update unit 19 updates the importance of the signal so that the importance becomes higher. Furthermore, the update unit 19 is more important when the fourth determination unit 21 determines that the similarity is not higher than the reference value than when the fourth determination unit 21 determines that the similarity is higher than the reference value. The importance of the signal is updated so that becomes higher.
  • the update unit 19 updates the importance of the signal so that the importance becomes low. Furthermore, the update unit 19 is more important when the fourth determination unit 21 determines that the similarity is higher than the reference value than when the fourth determination unit 21 determines that the similarity is not higher than the reference value. The importance of the signal is updated so that the degree becomes lower.
  • the example in which the update unit 19 updates the importance based also on the result determined by the fourth determination unit 21 is not limited to the above example.
  • the update unit 19 may update the importance based on the following expression.
  • the following equation is a calculation example when 50% is adopted as the reference value.
  • the above formula shows an example in which the update unit 19 updates the importance of the signal based on the number of times determined not to be similar by the first determination unit 17 or the number of times determined to be similar.
  • the third term on the right side of the above equation may be calculated as 1.
  • the above equation shows an example in which the updating unit 19 updates the importance level of the signal based on the similarity value of the trace data calculated by the second calculation unit 13. If it is not necessary to consider the similarity value, the fourth term on the right side of the above equation may be calculated as 1.
  • the importance of the signal can be greatly reduced in a case where the similarity is high but the case is not clearly similar when viewed from the maintenance staff. Similarly, the importance of the signal can be greatly increased in a case where the similarity is low but it is clearly similar from the viewpoint of maintenance personnel.
  • Embodiment 5 FIG.
  • the overall view of the search system is the same as FIG.
  • An overall view of the search device 1 is the same as that shown in FIG. 12, for example.
  • the search device 1 may include a third determination unit 20.
  • the search device 1 may include a fourth determination unit 21.
  • the updating unit 19 updates the importance of each signal stored in the second storage unit 12 based on the input person information input from the input unit 16. For example, the maintenance staff inputs his / her employee number from the input unit 16.
  • the updating unit 19 updates the importance level of the signal in consideration of, for example, the skill level of the maintenance person who has input the feedback. For example, the update unit 19 updates the importance based on the following equation.
  • (Importance after update) (importance before update) ⁇ (importance conversion rate: for example, 1.5) ⁇ (year of service of input person / constant)
  • the constant for example, an average value of years of service of maintenance personnel may be adopted.
  • the constant may be 1.
  • “year of experience of the input person” may be adopted instead of “year of service of the input person”.
  • “number of times of failure of input person” may be adopted instead of “year of service of input person”.
  • Information necessary for the above formula is stored in the search device 1 in association with, for example, an employee number.
  • the update unit 19 may update the importance level of the signal so that the importance level is higher when the input person belongs to a specific group, for example, compared to the case where the input person does not belong to the specific group.
  • the updating unit 19 may update the importance based on the following equation.
  • the fourth term on the right side may be 1. The same applies to a case where the similarity is 50% or less.
  • the information of the person who performed the feedback input can be reflected in the importance value of each signal. If only the employee number or the like is input from the input unit 16 as in the above example, maintenance labor can be reduced.
  • Embodiment 6 FIG.
  • the overall view of the search system is the same as FIG.
  • An overall view of the search device 1 is the same as that shown in FIG. 12, for example.
  • the search device 1 may include a third determination unit 20.
  • the search device 1 may include a fourth determination unit 21.
  • the updating unit 19 may consider the information of the input person input from the input unit 16 when updating the importance.
  • the updating unit 19 updates the importance based on the following equation, for example.
  • (Importance after update) (importance before update) ⁇ f (x) f (x) is a correction function.
  • x is the number of times the first determination unit 17 determines the target trace data.
  • the example shown in the second embodiment corresponds to the case where f (x) is 1 regardless of the value of x.
  • 19 and 20 are diagrams illustrating examples of importance after update.
  • 19 and 20 show an example in which the importance is increased by updating.
  • the change rate of the importance is a 1 until the number of determinations by the first determination unit 17 reaches n 1 .
  • the importance of the rate of change is a 2.
  • Change rate a 2 is greater than the change rate a 1.
  • Change rate a 3 is smaller than the change rate a 2.
  • the rate of change a 3 may be the same as the rate of change of a 1.
  • the change in importance after the update may be indicated by a curve. After the number of times the determination by the first determination unit 17 reaches the n 2, it may not alter the significance.
  • the maintenance staff may check the wrong checkbox when inputting feedback.
  • the importance can be updated without changing the value until a certain amount of input is made.
  • n 1 may be set to 3.
  • the change rate of the importance is a 4 until the number of determinations by the first determination unit 17 reaches n 3 .
  • the importance of the rate of change is a 5.
  • Change rate a 4 is greater than the change rate a 5.
  • the change in importance after the update may be indicated by a curve. After the number of times the determination by the first determination unit 17 has reached n 3, may not alter the significance.
  • the absolute value of the number of times determined by the first determination unit 17 is adopted on the horizontal axis.
  • the ratio of the number of times determined by the first determination unit 17 may be adopted on the horizontal axis. .
  • “the number of times the first determination unit 17 determines the target trace data / the total number of determinations of the first determination unit 17” may be adopted on the horizontal axis.
  • the “ratio of the number of times determined by the first determination unit 17” when the first feedback input is performed, the above ratio becomes 100%, and the importance may not be updated appropriately. There is sex. Therefore, when the above ratio is adopted on the horizontal axis, the importance update function may be stopped until a certain number of feedback inputs are performed.
  • FIG. 21 is a diagram illustrating a hardware configuration of the search device 1.
  • the search device 1 includes a processing circuit including, for example, a processor 22 and a memory 23 as hardware resources.
  • the functions of the first storage unit 10 and the second storage unit 12 are realized by the memory 23.
  • the search device 1 executes the program stored in the memory 23 by the processor 22, thereby realizing the functions of the units indicated by reference numerals 9, 11, 13 to 14, and 16 to 21.
  • the processor 22 is also called a CPU (Central Processing Unit), a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, or a DSP.
  • a semiconductor memory a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, or a DVD may be employed.
  • Semiconductor memories that can be used include RAM, ROM, flash memory, EPROM, EEPROM, and the like.
  • a part or all of each function of the search device 1 may be realized by hardware.
  • a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof may be employed.
  • the search system according to the present invention can be applied to a system that searches for a signal similar to a specific signal group from among a plurality of signal groups.

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Abstract

Un système de récupération comprend une première unité de mémorisation (10), une première unité de calcul (11), une seconde unité de mémorisation (12) et une seconde unité de calcul (13). La première unité de calcul (11) calcule, pour chaque signal correspondant, la similarité d'un signal inclus dans un premier groupe de signaux avec un signal inclus dans un second groupe de signaux. L'importance du signal par rapport à une pluralité de signaux inclus dans le premier groupe de signaux est mémorisée dans la seconde unité de stockage (12). La seconde unité de calcul (13) calcule la similarité du premier groupe de signaux avec le second groupe de signaux sur la base de la similarité par signal calculée et de l'importance par signal mémorisée.
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WO2010041744A1 (fr) * 2008-10-09 2010-04-15 国立大学法人 北海道大学 Système de navigation dans un film, et programme de navigation dans un film
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