CN110383264A - Searching system - Google Patents
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- CN110383264A CN110383264A CN201680091113.4A CN201680091113A CN110383264A CN 110383264 A CN110383264 A CN 110383264A CN 201680091113 A CN201680091113 A CN 201680091113A CN 110383264 A CN110383264 A CN 110383264A
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Abstract
Searching system has the 1st storage unit (10), the 1st calculation part (11), the 2nd storage unit (12) and the 2nd calculation part (13).1st calculation part (11) calculates the similarity of the signal for including in the 1st signal group and the signal for including in the 2nd signal group according to corresponding each signal.In the 2nd storage unit (12), for the multiple signals for including in the 1st signal group, the different degree of each signal is stored.2nd calculation part (13) calculates the similarity of the 1st signal group and the 2nd signal group according to the similarity of calculated each signal and the different degree of each signal stored.
Description
Technical field
The present invention relates to searching systems.
Background technique
For example, obtaining the snapshot for indicating the signal value of state of elevator when elevator generates failure.In the present specification, will
The snapshot of the signal value is referred to as tracking data.
The example of the abnormal system for the data that detection has obtained is recorded in patent document 1.
Existing technical literature
Patent document
Patent document 1: No. 5301310 bulletins of Japanese Patent Publication No.
Summary of the invention
Subject to be solved by the invention
In the past, when achieving new tracking data, past tracking data similar with the tracking data can not be retrieved.
Such as in order to estimate failure cause according to tracking data, this retrieval is useful.
The present invention is precisely in order to solving above-mentioned this project and completing.The object of the present invention is to provide can pass through
The searching system of simple structure retrieval signal group similar with the signal group comprising multiple signals.
Means for solving the problems
Searching system of the invention includes the 1st storage unit, 1st signal group of the storage comprising multiple signals and comprising
2nd signal group of multiple signals corresponding with the multiple signal for including in the 1st signal group；1st computing unit, according to correspondence
Each signal calculate the 1st signal group in include signal and the 2nd signal group in include signal similarity；2nd storage is single
Member stores the different degree of each signal for the multiple signal for including in the 1st signal group；And the 2nd computing unit,
According to the important of each signal by being stored in the similarity and the 2nd storage unit of the calculated each signal of the 1st computing unit
Degree calculates the similarity of the 1st signal group and the 2nd signal group.
Invention effect
In searching system of the invention, the 1st computing unit calculates in the 1st signal group according to corresponding each signal includes
Signal and the 2nd signal group in include signal similarity.It is more for include in the 1st signal group in the 2nd storage unit
A signal stores the different degree of each signal.2nd computing unit is according to the phase by the calculated each signal of the 1st computing unit
Like the different degree of each signal stored in degree and the 2nd storage unit, the similarity of the 1st signal group and the 2nd signal group is calculated.Root
According to searching system of the invention, simple structure retrieval signal group similar with the signal group comprising multiple signals can be passed through.
Detailed description of the invention
Fig. 1 is the figure for showing the example of the searching system in embodiments of the present invention 1.
Fig. 2 is the figure for showing the example of tracking data.
Fig. 3 is the figure for showing the example of retrieval device.
Fig. 4 is the flow chart for showing the action example of the searching system in embodiments of the present invention 1.
Fig. 5 is the flow chart for showing the action example of the searching system in embodiments of the present invention 1.
Fig. 6 is the figure for illustrating the function of the 1st calculation part.
Fig. 7 is the figure for illustrating the function of the 1st calculation part.
Fig. 8 be display is shown show exemplary figure.
Fig. 9 is another figure for showing retrieval device.
Figure 10 is another figure for showing retrieval device.
Figure 11 is to show another of display to show exemplary figure.
Figure 12 is the figure for showing the example for the retrieval device that the searching system in embodiments of the present invention 2 has.
Figure 13 is the flow chart for showing the action example of the searching system in embodiments of the present invention 2.
Figure 14 be display is shown show exemplary figure.
Figure 15 is the figure for showing the example for the retrieval device that the searching system in embodiments of the present invention 3 has.
Figure 16 is the flow chart for showing the action example of the searching system in embodiments of the present invention 3.
Figure 17 is the figure for showing the example for the retrieval device that the searching system in embodiments of the present invention 4 has.
Figure 18 is the flow chart for showing the action example of the searching system in embodiments of the present invention 4.
Figure 19 is the figure for showing the example of updated different degree.
Figure 20 is the figure for showing the example of updated different degree.
Figure 21 is the figure for showing the hardware configuration of retrieval device.
Specific embodiment
Referring to attached drawing, the present invention will be described.Suitably simplify or the repetitive description thereof will be omitted.In the various figures, identical label
Indicate identical part or comparable part.
Embodiment 1
Fig. 1 is the figure for showing the example of the searching system in embodiments of the present invention 1.Retrieve device 1 can with it is long-range
Multiple lift appliances communicated.Each lift appliance is for example with carriage 2 and counterweight 3.Carriage 2 and counterweight 3 pass through main rope 4
It is suspended to hoistway.The traction machine of elevator is for example with driving rope sheave 5 and motor 6.Main rope 4 is wound in driving rope sheave 5.It drives
Running rope wheel 5 is driven by motor 6.Motor 6 is controlled by control panel 7.Communication device 8 is connected in control panel 7.Communication device 8
It is communicated with external equipment.Each lift appliance is communicated by communication device 8 with retrieval device 1.
When lift appliance generate failure when, by communication device 8 obtain indicate state of elevator signal value snapshot i.e. with
Track data.Tracking data is an example of the signal group comprising multiple signals.For example, tracking data includes for determining lift appliance
The signal of itself.Tracking data includes the signal for indicating the moment.Tracking data includes the signal for indicating the current value of control panel 7.
Tracking data includes the signal for indicating the voltage value of control panel 7.Tracking data includes the signal for indicating the speed of motor 6.With
Track data include the signal for indicating the torque of motor 6.Tracking data includes the signal for indicating the open and-shut mode of door.Tracking data
Signal comprising indicating the position of carriage 2.Tracking data includes the signal for indicating the action state of safety device.In tracking data
The signal for including is not limited to these examples.A part of the signal of illustration can also be not included in tracking data.Tracking data
It may include other signals.
Fig. 2 is the figure for showing the example of tracking data.Fig. 2 shows the examples of 4 tracking datas.Include in tracking data
The label of signal is not limited to a kind.For example, marked by the signal of 2 systems label, by the signal of 16 systems label and by 10 systems
Signal also may include in a tracking data.One tracking data also may include the signal of various signal lengths.
When lift appliance generates failure, communication device 8 obtains tracking data when generating failure.Communication device 8 can also
To obtain tracking data in the certain time before and after failure generates.When the opportunity of acquirement tracking data is not limited to failure generation.
For example, communication device 8 can also periodically obtain tracking data.After communication device 8 obtains tracking data, sent to retrieval device 1
The tracking data obtained.
Fig. 3 is the figure for showing the example of retrieval device 1.Device 1 is retrieved for example with receiving unit 9, the 1st storage unit the 10, the 1st
Calculation part 11, the 2nd storage unit 12, the 2nd calculation part 13, display control section 14 and display 15.In the following, also referring to Fig. 4~Fig. 8 pairs
The function and movement for retrieving device 1 are illustrated.Fig. 4 and Fig. 5 is show searching system in embodiments of the present invention 1 dynamic
Make the flow chart of example.
When arbitrary lift appliance generates failure, tracking is sent to retrieval device 1 from the communication device 8 of the lift appliance
Data.The tracking data sent from communication device 8 receives (S101) by receiving unit 9 in retrieval device 1.It is received by receiving unit 9
To tracking data be stored in the 1st storage unit 10 (S102).Accumulation has multiple tracking datas in the 1st storage unit 10.
Fig. 5 shows the example of the process flow of retrieval tracking data similar with tracking data X1.Tracking data X1 is the 1st
One of the tracking data stored in storage unit 10.Tracking data X1 can be the newest tracking number stored in the 1st storage unit 10
According to.It can also be after by tracking data X1 storage to the 1st storage unit 10, by multiple tracking datas storage to the 1st storage unit 10.
1st calculation part 11 reads in tracking data X1 (S201) from the 1st storage unit 10.Tracking data X1 is for example comprising signal
A1, signal A2, signal A3 ... and signal AN.N is, for example, 3 or more natural number.N is also possible to 100 or more natural number.?
In the following description, the signal A1 for including in tracking data X1 is labeled as signal A11.Equally, will include in tracking data X1
Signal A2 be labeled as signal A21.The signal A3 for including in tracking data X1 is labeled as signal A31.It will be in tracking data X1
The signal AN for including is labeled as signal AN1.
Then, the 1st calculation part 11 is from the tracking data stored in the 1st storage unit 10, read in a tracking data X1 with
Outer tracking data (S202).For example, the 1st calculation part 11 reads in tracking data X2 from the 1st storage unit 10.Tracking data X2 includes
Multiple signals corresponding with the above-mentioned multiple signals for including in tracking data X1.For example, tracking data X2 includes signal A1, signal
A2, signal A3 ... and signal AN.In the following description, the signal A1 for including in tracking data X2 is labeled as signal A12.
Equally, the signal A2 for including in tracking data X2 is labeled as signal A22.The signal A3 for including in tracking data X2 is labeled as
Signal A32.The signal AN for including in tracking data X2 is labeled as signal AN2.
Signal A12 is signal corresponding with signal A11.For example, signal A11 and signal A12 are the signals for indicating the moment.Letter
Number A22 is signal corresponding with signal A21.For example, signal A21 and signal A22 are the signals for indicating the current value of control panel 7.
Signal A32 is signal corresponding with signal A31.For example, signal A31 and signal A32 are the signals for indicating the torque of motor 6.
Signal AN2 is signal corresponding with signal AN1.
1st calculation part 11 calculates in the signal and tracking data X2 for including in tracking data X1 according to corresponding each signal
The similarity (S203) for the signal for including.For example, the 1st calculation part 11 calculates the similarity of signal A11 and signal A12.Equally,
The similarity of the calculating of 1 calculation part 11 signal A21 and signal A22.It is similar to signal A32's that 1st calculation part 11 calculates signal A31
Degree.The similarity of the calculating of 1st calculation part 11 signal AN1 and signal AN2.
Fig. 6 and Fig. 7 is the figure for illustrating the function of the 1st calculation part 11.1st calculation part 11 is for example using the dynamic plan law
Calculate the similarity of each signal.Fig. 6 and Fig. 7 shows the example for calculating the similarity of signal A11 and signal A12.In Fig. 6 and figure
In example shown in 7, signal A11 is 00000111.Signal A12 is 00001111.
In the case where calculating similarity by the dynamic plan law, firstly, as shown in Figure 6 and Figure 7, at longitudinal arrangement one
Signal, in another transversely arranged signal.Then, mobile punishment and inconsistent punishment are considered on one side, on one side from upper left lattice
Son arrives the grid input value of lower right.Then, from upper left grid towards the smallest path of grid search value of lower right.
In the example shown in Fig. 6, the mobile punishment of right direction is+1.The mobile punishment in lower direction is+1.Towards bottom right
The mobile punishment of the inclined direction of side is 0.In addition, the punishment under value unanimous circumstances is 0.Be worth it is inconsistent in the case where punishment
It is+1.In the example shown in Fig. 6, the similarity calculation of signal A11 and signal A12 is 1.
In the example shown in Fig. 7, the mobile punishment of right direction is+1.The mobile punishment in lower direction is+1.Towards bottom right
The mobile punishment of the inclined direction of side is 0.In addition, the punishment under value unanimous circumstances is 0.Be worth it is inconsistent in the case where punishment
It is+3.In the example shown in Fig. 7, the similarity calculation of signal A11 and signal A12 is 2.
In Fig. 6 and example shown in Fig. 7, the signal to be compared is more similar each other, then calculated by the 1st calculation part 11
The value of similarity is smaller.It can also following setting calculating method: when 2 signals are identical value, being calculated by the 1st calculation part 11
Similarity become maximum value.The maximum value of calculated similarity can also be set as 1 or 100 etc..Mobile punishment
Setting method and the setting method of inconsistent punishment are not limited to Fig. 6 and example shown in Fig. 7.1st calculation part 11 calculates similarity
Method be not limited to the dynamic plan law.
In the 2nd storage unit 12, for the multiple signals for including in tracking data, the different degree of each signal is stored.?
In example shown in present embodiment, tracking data X1 include signal A1, signal A2, signal A3 ... and signal AN.Track number
According to X2 include signal A1, signal A2, signal A3 ... and signal AN.Therefore, the important of signal A1 is stored in the 2nd storage unit 12
Degree, the different degree of signal A2, the different degree of signal A3 ... and the different degree of signal AN.
2nd calculation part 13 reads in the different degree (S204) of each signal from the 2nd storage unit 12.Then, the 2nd calculation part 13 calculates
The similarity (S205) of tracking data X1 and tracking data X2.2nd calculation part 13 is according to calculated each by the 1st calculation part 11
The different degree of each signal stored in the similarity of signal and the 2nd storage unit 12 carries out above-mentioned calculating.For example, the 2nd calculation part
13 are calculate by the following formula similarity.
(similarity of tracking data X1 and tracking data X2)
=(similarity of signal A1) × (different degree of signal A1)
+ (similarity of signal A2) × (different degree of signal A2)
+ (similarity of signal A3) × (different degree of signal A3)
:
+ (similarity of signal AN) × (different degree of signal AN)
The method that 2nd calculation part 13 calculates similarity is not limited to above-mentioned example.It can also will be calculated by the 2nd calculation part 13
The maximum value of similarity be set as 1 or 100 etc..
Multiple tracking datas are stored in the 1st storage unit 10.For example, in the 1st storage unit 10 store tracking data X1, with
Track data X2, tracking data X3 ... and tracking data XM.M is, for example, 3 or more natural number.Calculating tracking data X1 and certain
When the similarity of a tracking data, determine whether to calculate similarity (S206) for whole tracking datas.If there is not counting
The tracking data of the similarity between tracking data X1 is calculated, then the tracking data is carried out shown in S202~S205
Reason.
For example, when calculating the similarity of tracking data X1 and tracking data X2, the 1st calculation part 11 is from the 1st storage unit 10
It reads in tracking data X3 (S202).Tracking data X3 includes multiple letters corresponding with the multiple signals for including in tracking data X1
Number.For example, tracking data X3 include signal A1, signal A2, signal A3 ... and signal AN.1st calculation part 11 is according to corresponding
Each signal calculates the similarity (S203) for the signal for including in the signal and tracking data X3 for including in tracking data X1.2nd
Calculation part 13 according to by the calculated each signal of the 1st calculation part 11 similarity and the 2nd storage unit 12 in each letter for storing
Number different degree, calculate tracking data X1 and tracking data X3 similarity (S205).
The tracking data for calculating the similarity between tracking data X1 can be the tracking number recorded in the 1st storage unit 10
A part in.For example, in the case where being stored with tracking data X1~tracking data X1000000 in the 1st storage unit 10,
The similarity between tracking data X1 can be calculated for each tracking data of tracking data X2~tracking data X1000.?
It can be calculated and the phase between tracking data X1 for each tracking data of tracking data X300000~tracking data X399999
Like degree.
Display control section 14 controls display 15.For example, display control section 14 makes the display of display 15 by the 2nd meter
13 calculated similarity (S207) of calculation portion.
Fig. 8 be display 15 is shown show exemplary figure.Fig. 8, which is shown, will determine the information of tracking data, by the 2nd calculation part
13 calculated similarities and corresponding content associate the example for showing display 15.In the example shown in Fig. 8,
According to the sequence of calculated similarity from high to low, the information for determining tracking data is shown from top.For example, if counting
The similarity highest of tracking data X1 and tracking data X2 in the similarity of calculating are then shown in the column of the top for determining
The information of tracking data X2, the calculated similarity and corresponding content.Fig. 8 is shown as determining the information of tracking data and showing
Show the example of the information of the building number for indicating that there is lift appliance and the date-time for generating failure.Corresponding content is practical
The information that the maintenance person of operation inputs after operation is carried out.
If it is example shown in present embodiment, then it can pass through simple structure retrieval and the letter comprising multiple signals
Number similar signal group of group.The similarity that signal group is calculated according to the similarity of each signal and the different degree of each signal, because
This, is able to carry out high-precision retrieval.
In the present embodiment, the example that 1 group of different degree is stored in the 2nd storage unit 12 is illustrated.This is an example.It can also
To store multiple groups different degree in the 2nd storage unit 12.Fig. 9 is another figure for showing retrieval device 1.As simplest example
Son, Fig. 9 show the example that 2 groups of different degrees are stored in the 2nd storage unit 12.3 groups or more can also be stored in the 2nd storage unit 12
Different degree.
Retrieval device 1 and above-mentioned example are carried out similarly processing shown in S201~S203.2nd calculation part 13 from the 2nd is deposited
1 group of different degree (S204) is read in the 2 groups of different degrees stored in storage portion 12.2nd calculation part 13 is according to preset condition, certainly
Surely the different degree to be read in.For example, the 2nd calculation part 13 according to obtain tracking data X1 date-time decision to be read in it is important
Degree.
2nd calculation part 13 can also determine the different degree to be read according to whether there is or not particular requirements.For example, the 2nd calculation part
13 only read in a different degree there are the requirement.If there is no the requirement, then the 2nd calculation part 13 is read in another
A different degree.2nd calculation part 13 can also determine to be read in important according to the value for the signal specific for including in tracking data X1
Degree.For example, if the value for the signal A9 for including in tracking data X1 is that the 0, the 2nd calculation part 13 reads in a different degree.If
The value for the signal A9 for including in tracking data X1 is 1, then the 2nd calculation part 13 reads in another different degree.
What the 2nd calculation part 13 was read according to the similarity by the calculated each signal of the 1st calculation part 11 and in S204
The different degree of each signal calculates the similarity (S205) of tracking data X1 and tracking data X2.
If it is example shown in Fig. 9, then can conjugation condition change the different degree of each signal.
In the present embodiment, the example that the different degree of each signal is only stored in the 2nd storage unit 12 is illustrated.This is
An example.In the 2nd storage unit 12, other than the different degree of each signal, the important of the combination of signal specific also can store
Degree.Figure 10 is another figure for showing retrieval device 1.For example, in the 2nd storage unit 12, in addition to the different degree of each signal
In addition, also storage for signal A1 and signal A2 combined different degree and for signal A6 and signal A8 combination it is important
Degree.The combined different degree for 3 or more signals can also be stored in the 2nd storage unit 12.For example, it is also possible to the 2nd
Storage is directed to the combined different degree of signal A1, signal A2 and signal A3 in storage unit 12.
Retrieval device 1 and above-mentioned example are carried out similarly processing shown in S201 and S202.1st calculation part 11 is according to correspondence
Each signal calculate tracking data X1 in include signal and tracking data X2 in include signal similarity (S203).Into
And in S203, the 1st calculation part 11 calculates the combined similarity of signal specific.If it is example shown in Fig. 10, then the 1st
Calculation part 11 calculate tracking data X1 in include signal A1 and signal A2 combination and tracking data X2 in include signal A1
With the combined similarity of signal A2.1st calculation part 11 calculates the combination of the signal A6 and signal A8 that include in tracking data X1
With the combined similarity of the signal A6 and signal A8 that include in tracking data X2.
For example, the 1st calculation part 11 determines the signal for including in the signal A1 and tracking data X2 that include in tracking data X1
Whether A1 is consistent.1st calculation part 11 determines the signal A2 for including in the signal A2 and tracking data X2 that include in tracking data X1
It is whether consistent.If both sides are consistent, the combined similarity calculation of signal A1 and signal A2 is 1 by the 1st calculation part 11.Double
Side is inconsistent or in the case that only a side is inconsistent, and the 1st calculation part 11 is by the combined similarity calculation of signal A1 and signal A2
It is 0.The method for calculating similarity is not limited to above-mentioned example.
2nd calculation part 13 reads in the different degree (S204) of each signal from the 2nd storage unit 12.In turn, in S204, the 2nd meter
The combined different degree of the reading of calculation portion 13 signal specific.
2nd calculation part 13 according to by the calculated each signal of the 1st calculation part 11 similarity and the 2nd storage unit 12 in deposit
The different degree of each signal of storage calculates the similarity (S205) of tracking data X1 and tracking data X2.In turn, in S205,
2nd calculation part 13 according to by the calculated signal specific of the 1st calculation part 11 combined similarity and the 2nd storage unit 12 in store
Signal specific combined different degree, correct above-mentioned calculated similarity.For example, the 2nd calculation part 13 is corrected by following formula
Similarity.
(similarity after the correction of tracking data X1 and tracking data X2)
=(according to the calculated similarity of the different degree of the similarity of each signal and each signal)
+ (the combined similarity of signal A1 and signal A2) × (the combined different degree of signal A1 and signal A2)
+ (the combined similarity of signal A6 and signal A8) × (combined different degree of signal A6 and signal A8) the 2nd is counted
The method that calculation portion 13 corrects similarity is not limited to above-mentioned example.
If it is example shown in Fig. 10, then the combination of signal specific can be also considered to calculate similarity.Therefore, can
Further increase the precision of similarity calculated.
Figure 11 is to show another of display 15 to show exemplary figure.Figure 11 illustrate that similar signal information and really
The information etc. for determining tracking data associates the example shown.
Retrieval device 1 and above-mentioned example are carried out similarly processing shown in S201~S206.Display control section 14 makes to show
Device 15 is shown by the calculated similarity (S207) of the 2nd calculation part 13.In turn, display control section 14 indicates the display of display 15
The information of similar signal.Display control section 14 is deposited according to the similarity and the 2nd by the calculated each signal of the 1st calculation part 11
The different degree of each signal stored in storage portion 12 determines above-mentioned similar signal.For example, display control section 14 is by the 1st meter
The similarity of the calculated signal in calculation portion 11 is higher than a reference value, and the different degree of the signal stored in the 2nd storage unit 12 is higher than
In the case where a reference value, being determined as the signal is similar signal.Display control section 14 can also be calculated by the 1st calculation part 11
In the case that the product of the different degree of the signal stored in the similarity of signal out and the 2nd storage unit 12 is higher than a reference value, really
Being set to the signal is similar signal.The quantity of similar signal can also be redefined for 3, it will be big from the value of above-mentioned product
Signal rise 3 signals be determined as similar signal.
If it is example shown in Figure 11, then can will be helpful to promoted tracking data similarity signal information with
Calculated similarity, which associates, shows display 15.Information by the signal shown in observation display 15,
Such as it can more accurately judge whether this fault case meets past fault case.
Embodiment 2
Figure 12 is the figure for showing the example for the retrieval device 1 that the searching system in embodiments of the present invention 2 has.Retrieval
The overall diagram of system is identical as Fig. 1.Device 1 is retrieved for example in receiving unit 9, the 1st storage unit 10, the storage of the 1st calculation part the 11, the 2nd
On the basis of portion 12, the 2nd calculation part 13, display control section 14 and display 15, also there is input unit 16, the 1st determination unit 17, the
2 determination units 18 and update section 19.Receiving unit 9, the 1st storage unit 10, the 1st calculation part 11, the 2nd storage unit 12, the 2nd calculation part 13,
Display control section 14 and each function of display 15 are identical as any function disclosed in embodiment 1.In retrieval and tracking number
In the case where according to the similar tracking data of X1, such as carry out processing shown in fig. 5.In the 2nd storage unit 12, in addition to each signal
Different degree other than, also can store the combined different degree of signal specific.
The function of retrieval device 1 and movement are illustrated in the following, also referring to Figure 13 and Figure 14.Figure 13 is to show the present invention
Embodiment 2 in searching system action example flow chart.
When some lift appliance generates failure, tracking number is sent to retrieval device 1 from the communication device 8 of the lift appliance
According to X1.After maintenance person reaches the building with the lift appliance for generating failure, maintenance person operates the end connecting with retrieval device 1
Thus end makes display 15 show the information of tracking data similar with tracking data X1.Maintenance person observes in display 15 and shows
The content shown, thus it is speculated that the reason of failure, or as reference when placing under repair.
Figure 14 be display 15 is shown show exemplary figure.Figure 14, which shows the display control section 14 in the S207 of Fig. 5, to be made to show
Show that device 15 shows the example on the column of similar judgement.
Maintenance person is after the repairing of lift appliance, in the correspondence from the input of input unit 16 for this fault case
Hold.The information inputted from input unit 16 is stored in the 1st storage unit 10 as the corresponding content of tracking data X1.
Maintenance person inputs oneself judgement to search result after the repairing of lift appliance, from input unit 16.For example,
Example as shown in figure 14 is such, and the final election for indicating similar check box and indicating dissmilarity is shown in the column of similar judgement
Frame.If it is considered to this fault case is similar to the past fault case that similarity calculation is 95.8%, then maintenance person selects
In similar check box.If it is considered to the past fault case not phase that this fault case and similarity calculation are 95.8%
Seemingly, then maintenance person chooses dissimilar check box.That is, maintenance person's input is directed to the feedback of search result.Multiple things can be directed to
Example carries out the display of check box.For example, the past fault case that can be 92.1% for similarity calculation also carries out final election
The display of frame.In the following, the tracking data for being 95.8% to similarity calculation is that the example of tracking data X2 is illustrated.
Input unit 16 is the device for inputting information.In the above example, input unit 16 is keyboard and mouse.Input unit
16 are also possible to touch panel.Input unit 16 is not limited to these examples.
In retrieval device 1, determine whether to have carried out the feed back input (S301) for search result.If it is Figure 14 institute
The example shown then determines whether to have selected the check box of similar check box or dissmilarity for tracking data X2.1st determination unit
17 according to the information inputted from input unit 16, determines whether tracking data X1 is similar to tracking data X2 (S302).For example, the 1st
Determination unit 17 is determined as that tracking data X1 is similar to tracking data X2 when choosing similar check box.1st determination unit 17 is selecting
When the check box of middle dissmilarity, it is determined as that tracking data X1 and tracking data X2 is dissimilar.
2nd determination unit 18 is according in the signal and tracking data X2 for including in corresponding each signal determining tracking data X1
Whether the signal for including is similar (S303).For example, the 2nd determination unit 18 determines whether signal A11 is similar to signal A12.Equally,
2 determination units 18 determine whether signal A21 is similar to signal A22.2nd determination unit 18 determine signal A31 and signal A32 whether phase
Seemingly.2nd determination unit 18 determines whether signal AN1 is similar to signal AN2.
For example, the 2nd determination unit 18 carries out above-mentioned judgement according to preset condition.2nd determination unit 18 can also by
In the case that the calculated similarity of 1st calculation part 11 is more than a reference value, it is determined as that signal is similar.2nd determination unit 18 can also be with
Whether unanimously above-mentioned judgement is carried out according to the value of signal.For example, in the case where signal A1 is 2 value signal, if signal A11
It is 1 for 1 and signal A12, then the 2nd determination unit 18 is determined as that the two is similar.If signal A11 is 0 and signal A12 is the 0, the 2nd
Determination unit 18 is determined as that the two is similar.If signal A11 is 1 and signal A12 is that the 0, the 2nd determination unit 18 is determined as the two not phase
Seemingly.If signal A11 is 0 and signal A12 is that the 1, the 2nd determination unit 18 is determined as that the two is dissimilar.2nd determination unit 18 is sentenced
Fixed method is not limited to above-mentioned example.
Update section 19 updates the different degree (S304) of each signal stored in the 2nd storage unit 12.Update section 19 is according to by the 1st
The result and above-mentioned update is carried out by the result that the 2nd determination unit 18 determines that determination unit 17 determines.In the following, referring to Tables 1 and 2
The function of update section 19 is described in detail.
[table 1]
In the example shown in table 1, maintenance person chooses similar check box.Therefore, the 1st determination unit 17 is judged to tracking number
It is similar to tracking data X2 according to X1.
In the example shown in table 1, the value for the signal A1 for including in tracking data X1 is 0.Include in tracking data X2
The value of signal A1 is 0.2nd determination unit 18 is determined as that signal A11 is similar to signal A12.The judgement of 1st determination unit 17 is based on maintenance
The judgement of member.On the other hand, value of the judgement based on the signal for including in tracking data of the 2nd determination unit 18.If the 1st determination unit
17 judgement is consistent with the judgement of the 2nd determination unit 18, then update section 19 updates different degree, so that the different degree of signal is got higher.Example
Such as, the value that update section 19 makes the storage of the 2nd storage unit 12 that the different degree of the signal A1 stored in the 2nd storage unit 12 be made to become 1.5 times,
Different degree as updated signal A1.The volatility of different degree is not limited to 1.5 times.
In the example shown in table 1, the value for the signal A2 for including in tracking data X1 is 0.Include in tracking data X2
The value of signal A2 is 1.2nd determination unit 18 is determined as that signal A21 and signal A22 is dissimilar.If the judgement of the 1st determination unit 17 and
The judgement of 2nd determination unit 18 is inconsistent, then update section 19 updates different degree, so that the different degree of signal is lower.For example, update section
19 values for making the storage of the 2nd storage unit 12 that the different degree of the signal A2 stored in the 2nd storage unit 12 be made to become 0.5 times, as update
The different degree of signal A2 afterwards.The volatility of different degree is not limited to 0.5 times.
Equally, the more different degree of new signal A3 of update section 19 ... and the different degree of signal AN.
[table 2]
In the example shown in table 2, maintenance person chooses dissimilar check box.Therefore, the 1st determination unit 17 is judged to tracking
Data X1 and tracking data X2 is dissimilar.
In the example shown in table 2, the value for the signal A1 for including in tracking data X1 is 0.Include in tracking data X2
The value of signal A1 is 0.2nd determination unit 18 is determined as that signal A11 is similar to signal A12.If the judgement of the 1st determination unit 17 and
The judgement of 2 determination units 18 is inconsistent, then update section 19 updates different degree, so that the different degree of signal is lower.For example, update section 19
The value for making the storage of the 2nd storage unit 12 that the different degree of the signal A1 stored in the 2nd storage unit 12 be made to become 0.5 times, after update
Signal A1 different degree.
In the example shown in table 2, the value for the signal A2 for including in tracking data X1 is 0.Include in tracking data X2
The value of signal A2 is 1.2nd determination unit 18 is determined as that signal A21 and signal A22 is dissimilar.If the judgement of the 1st determination unit 17 and
The judgement of 2nd determination unit 18 is consistent, then update section 19 updates different degree, so that the different degree of signal is got higher.For example, update section 19
The value for making the storage of the 2nd storage unit 12 that the different degree of the signal A2 stored in the 2nd storage unit 12 be made to become 1.5 times, after update
Signal A2 different degree.
Equally, the more different degree of new signal A3 of update section 19 ... and the different degree of signal AN.
[table 3]
In the example shown in table 3, for tracking data X2, maintenance person chooses similar check box.Therefore, the 1st determines
Portion 17 is determined as that tracking data X1 is similar to tracking data X2.On the other hand, for tracking data X3, maintenance person chooses dissmilarity
Check box.Therefore, the 1st determination unit 17 is determined as that tracking data X1 and tracking data X3 is dissimilar.
In the example shown in table 3, the value for the signal A1 for including in tracking data X1 is 0.Include in tracking data X2
The value of signal A1 is 0.2nd determination unit 18 is determined as that signal A11 is similar to signal A12.Judgement and the 1st of 2nd determination unit 18
Determination unit 17 is consistent with the judgement of tracking data X2 for tracking data X1.In addition, the signal A1 for including in tracking data X3
Value is 1.2nd determination unit 18 is determined as that signal A11 and signal A13 is dissimilar.The judgement of 2nd determination unit 18 and the 1st determination unit
17 is consistent with the judgement of tracking data X3 for tracking data X1.If the judgement of the 1st determination unit 17 and sentencing for the 2nd determination unit 18
Fixed all consistent, then update section 19 updates different degree, so that the different degree of signal is got higher.For example, update section 19 makes the 2nd storage unit
The value that 12 storages make the different degree of the signal A1 stored in the 2nd storage unit 12 become 1.5 times, the weight as updated signal A1
It spends.
In the example shown in table 3, the value for the signal A2 for including in tracking data X1 is 0.Include in tracking data X2
The value of signal A2 is 1.2nd determination unit 18 is determined as that signal A21 and signal A22 is dissimilar.Judgement of 2nd determination unit 18 and the
1 determination unit 17 is inconsistent for the judgement of tracking data X1 and tracking data X2.In addition, the signal A2 for including in tracking data X3
Value be 0.2nd determination unit 18 is determined as that signal A21 is similar to signal A23.The judgement of 2nd determination unit 18 and the 1st determination unit
17 for tracking data X1 and tracking data X3 judgement it is inconsistent.If the judgement of the 1st determination unit 17 and the 2nd determination unit 18
Determine it is inconsistent, then update section 19 update different degree so that the different degree of signal is lower.For example, update section 19 makes the 2nd storage unit
The value that 12 storages make the different degree of the signal A2 stored in the 2nd storage unit 12 become 0.5 times, the weight as updated signal A2
It spends.
Equally, in the example shown in table 3, the value for the signal A3 for including in tracking data X1 is 0.It is wrapped in tracking data X2
The value of the signal A3 contained is 0.2nd determination unit 18 is determined as that signal A31 is similar to signal A32.The judgement of 2nd determination unit 18 with
1st determination unit 17 is consistent with the judgement of tracking data X2 for tracking data X1.In addition, the signal A3 for including in tracking data X3
Value be 0.2nd determination unit 18 is determined as that signal A31 is similar to signal A33.The judgement of 2nd determination unit 18 and the 1st determination unit
17 for tracking data X1 and tracking data X3 judgement it is inconsistent.If the judgement of the 1st determination unit 17 and the 2nd determination unit 18
Judgement is completely inconsistent, then update section 19 updates different degree, so that the different degree of signal is lower.For example, update section 19 makes the 2nd to deposit
The different degree that storage portion 12 stores the signal A3 for making to store in the 2nd storage unit 12 becomes 0.5 times of value, as updated signal A3
Different degree.
About signal A3, a part of judgement with the judgement of the 2nd determination unit 18 of the 1st determination unit 17 is consistent.Therefore, it updates
Portion 19 can also make the storage of the 2nd storage unit 12 make the different degree of the signal A3 stored in the 2nd storage unit 12 as such as 0.9 times
Value, the different degree as updated signal A3.
After carrying out feed back input of the maintenance person for search result, the 1st determination unit 17 similar or dissimilar sentence
It is fixed.In example shown in the example shown in table 1 and table 2, when being determined the 1st determination unit 17, the 2nd storage unit 12 is updated
The different degree of each signal of middle storage.In the example shown in table 3, when the 1st determination unit 17 carries out 2 judgements, the 2nd is updated
The different degree of each signal stored in storage unit 12.The opportunity for updating the different degree of each signal is not limited to above-mentioned example.For example,
The update of different degree can be carried out when the 1st determination unit 17 carries out 10 judgements.It can also be when becoming the set date
Between or when the time, carry out the update of different degree.
If it is example shown in present embodiment, then the important of each signal stored in the 2nd storage unit 12 can be updated
Degree.Furthermore it is possible to reflect the judgement of maintenance person into the value of the different degree of each signal.The different degree of each signal is updated, because
This, the precision of retrieval improves.The update of different degree is carried out according to each signal, still, the input of maintenance person is only tracking data
Whether similar information.Therefore, labour and the time of maintenance person be can reduce.
In the present embodiment, such as illustrate that maintenance person directly inputs tracking data X1 and tracking data from input unit 16
The example of the whether similar information of X2.This is an example.As described above, maintenance person is after the repairing of lift appliance, such as make
For the annotation for tracking data X1, the corresponding content oneself carried out is inputted from input unit 16.It was stored in the 1st storage unit 10
Go the corresponding content carried out as the annotation for being directed to tracking data X2.In the S302 of Figure 13, the 1st determination unit 17 can also basis
Annotation for tracking data X1 and the annotation for tracking data X2, determine tracking data X1 and tracking data X2 whether phase
Seemingly.
For example, the 1st determination unit 17 is directed to the annotation of tracking data X1 according to each words down.1st determination unit 17 according to
Each words down is directed to the annotation of tracking data X2.What the 1st determination unit 17 included in the annotation for tracking data X2 appoints
Meaning word include be directed to tracking data X1 annotation in the case where, be determined as that tracking data X1 is similar to tracking data X2.
Any word that 1st determination unit 17 includes in the annotation for tracking data X2 is not included in the note for tracking data X1
In the case where releasing, it is determined as that tracking data X1 and tracking data X2 is dissimilar.Table 4 shows the example of the annotation for tracking data
Son.
[table 4]
| No. | Corresponding content |
| Tracking data X1 | Replace YZ substrate |
| Tracking data X2 | YZ substrate is adjusted due to * * reason |
In the example shown in table 4, annotation for tracking data X1 and for the annotation both sides of tracking data X2 include
Word as " YZ substrate ".Therefore, the 1st determination unit 17 is determined as that tracking data X1 is similar to tracking data X2.
In addition, the input annotated by various maintenance persons, accordingly, it is possible to use multiple performances for same apparatus.Example
Such as, some maintenance person with Japanese inputs some device sometimes, some maintenance person inputs the device in English.In addition, sometimes some
Maintenance person inputs some device with professional terms, some maintenance person inputs the device with intra-company's term.Accordingly it is also possible to
Similar term collection is pre-registered in retrieval device 1.Table 5 shows the example of similar term collection.
[table 5]
If it is example shown in table 5, then the 1st determination unit 17 is considered as YZ substrate and substrate ABC is identical term.Equally,
1st determination unit 17 is considered as ZZ switch and SW-ZZ is identical term.
By the general term such as " replacement " except in object, therefore, the 1st determination unit 17 can also be according only to similar term collection
In the term enumerated, determine whether tracking data X1 similar to tracking data X2.
Maintenance person is after the repairing of lift appliance, it is necessary to which input is directed to the annotation of tracking data.Therefore, if it is upper
Example is stated, then can reduce labour and the time of maintenance person.
Embodiment 3
Figure 15 is the figure for showing the example for the retrieval device 1 that the searching system in embodiments of the present invention 3 has.Retrieval
The overall diagram of system is identical as Fig. 1.Device 1 is retrieved for example in receiving unit 9, the 1st storage unit 10, the storage of the 1st calculation part the 11, the 2nd
Portion 12, the 2nd calculation part 13, display control section 14, display 15, input unit 16, the 1st determination unit 17, the 2nd determination unit 18 and update
On the basis of portion 19, also there is the 3rd determination unit 20.Receiving unit 9, the 1st storage unit 10, the 1st calculation part 11, the 2nd storage unit 12,
Each function of 2 calculation parts 13, display control section 14 and display 15 is identical as any function disclosed in embodiment 1.It is examining
In the case where rope tracking data similar with tracking data X1, such as carry out processing shown in fig. 5.In the 2nd storage unit 12, remove
Other than the different degree of each signal, the combined different degree of signal specific also can store.Input unit 16, the 1st determination unit 17,
Function unspecified in the present embodiment and embodiment 2 in each function of 2nd determination unit 18 and update section 19 is public
Any function of opening is identical.
In embodiment 2, following example is illustrated: being determined as that similar and the 2nd determination unit 18 is sentenced in the 1st determination unit 17
When being set to similar, independently with the type of signal, different degree is made to become such as 1.5 times.In the present embodiment, illustrate according to letter
Number value change different degree update method example.
The function of retrieval device 1 and movement are illustrated in the following, also referring to Figure 16.Figure 16 is to show implementation of the invention
The flow chart of the action example of searching system in mode 3.The S301 of processing and Figure 13 shown in S401~S403 of Figure 16~
Processing shown in S303 is identical.1st determination unit 17 according to the information inputted from input unit 16, such as determine tracking data X1 with
Track data X2 whether similar (S402).2nd determination unit 18 is according to the letter for including in corresponding each signal determining tracking data X1
Number (S403) whether similar to the signal for including in tracking data X2.
3rd determination unit 20 determines whether the value for the signal for including in tracking data X1 is the spy for meeting preset condition
Different value (S404).In the following, being described in detail referring to function of the table 6 to the 3rd determination unit 20.
[table 6]
Table 6 shows an example of the content stored in the 1st storage unit 10.For example, about signal A2, it is less to be worth the case where being 1,
The case where value is 0 is more.If the value of signal A2 is that the 1, the 3rd determination unit 20 is determined as that the value is particular value.
3rd determination unit 20 carries out above-mentioned judgement according to preset condition.For example, if the appearance of the value of some signal
Value on the basis of frequency is hereinafter, then the 3rd determination unit 20 is determined as that the value of the signal is particular value.For example, said reference value is set
It is 3%.If the frequency that the value of signal A2 is 0 is 99%, the frequency that the value of signal A2 is 1 is 1%.In this case, if signal
The value of A2 is 0, then the 3rd determination unit 20 will not be determined as that the value is particular value.If the value of signal A2 is the 1, the 3rd determination unit 20
It is determined as that the value is particular value.For determining whether the value of signal is that a reference value of particular value is not limited to above-mentioned example.In signal
In the case where taking various values, the 3rd determination unit 20 can also carry out above-mentioned judgement according to degrees of deviation such as standard deviations.
Update section 19 updates the different degree (S405) of each signal stored in the 2nd storage unit 12.Update section 19 is according to by the 1st
Result, the result determined by the 2nd determination unit 18 and the result progress determined by the 3rd determination unit 20 that determination unit 17 determines
Above-mentioned update.
For example, it is assumed that being determined as that tracking data X1 is similar to tracking data X2 by the 1st determination unit 17.The example shown in table 6
In son, the value for the signal A2 for including in tracking data X1 is 1.The value for the signal A2 for including in tracking data X2 is 1.2nd determines
Portion 18 is determined as that signal A21 is similar to signal A22.Update section 19, which is directed to, is determined as similar signal by the 2nd determination unit 18, updates
The different degree of the signal so that by the 3rd determination unit 20 be determined as the signal value be particular value in the case where different degree, than by
3rd determination unit 20 is determined as that the different degree in the case that the value of the signal is not particular value is high.That is, about signal A2, signal A21
Updated different degree when updated different degree when with signal A22 being 1 than signal A21 and signal A22 is 0 is high.
In the above example, in the case where signal A21 and signal A22 are 1, for example, update section 19 to make the 2nd storage
The different degree of the signal A2 stored in portion 12 as 1.5 times value further multiplied by 1 or more constant, thus more new signal A2
Different degree.Update section 19 can also make the 2nd storage unit 12 storage to make the different degree of the signal A2 stored in the 2nd storage unit 12 at
Different degree to be worth obtained from 1.5 times of the values further inverse multiplied by occurrence frequency, as updated signal A2.By
This, can pay attention to the lower signal value of occurrence frequency to be updated.
Alternatively, it is also possible to be only 0 or 1 signal for signal A2 as shown in table 6 its value like that, make the 2nd storage unit 12
Store different degree of 2 different degrees as the signal.For example, it is also possible to signal A2 when making the 2nd 12 storage value 0 of storage unit
The different degree of signal A2 when different degree and value are 1.
Embodiment 4
Figure 17 is the figure for showing the example for the retrieval device 1 that the searching system in embodiments of the present invention 4 has.Retrieval
The overall diagram of system is identical as Fig. 1.Device 1 is retrieved for example in receiving unit 9, the 1st storage unit 10, the storage of the 1st calculation part the 11, the 2nd
Portion 12, the 2nd calculation part 13, display control section 14, display 15, input unit 16, the 1st determination unit 17, the 2nd determination unit 18 and update
On the basis of portion 19, also there is the 4th determination unit 21.Receiving unit 9, the 1st storage unit 10, the 1st calculation part 11, the 2nd storage unit 12,
Each function of 2 calculation parts 13, display control section 14 and display 15 is identical as any function disclosed in embodiment 1.It is retrieving
In the case where tracking data similar with tracking data X1, such as carry out processing shown in fig. 5.In the 2nd storage unit 12, in addition to
Other than the different degree of each signal, the combined different degree of signal specific also can store.Input unit 16, the 1st determination unit 17,
Function unspecified in the present embodiment and embodiment 2 or 3 in each function of 2 determination units 18 and update section 19 is public
Any function of opening is identical.Retrieval device 1 can also also have the 3rd determination unit 20.
In the present embodiment, the example of the update method of the big minor change different degree of the similarity according to signal is shown.
The function of retrieval device 1 and movement are illustrated in the following, also referring to Figure 18.Figure 18 is shown in embodiments of the present invention 4
Searching system action example flow chart.Shown in S301~S303 of the processing with Figure 13 shown in S501~S503 of Figure 18
It handles identical.
1st determination unit 17 is according to the information inputted from input unit 16, such as determines that tracking data X1 and tracking data X2 is
No similar (S502).2nd determination unit 18 is according to the signal and tracking number for including in corresponding each signal determining tracking data X1
It is whether similar (S503) according to the signal for including in X2.
4th determination unit 21 determines by the similarity of 13 calculated tracking data X1 and tracking data X2 of the 2nd calculation part
It is no to be higher than a reference value (S504).Update section 19 updates the different degree (S505) of each signal stored in the 2nd storage unit 12.Update section
19 are determined according to the result determined by the 1st determination unit 17, the result that is determined by the 2nd determination unit 18 and by the 4th determination unit 21
Result out carries out above-mentioned update.
For example, when the judgement of the 1st determination unit 17 is consistent with the judgement of the 2nd determination unit 18, the more new signal of update section 19
Different degree, so that different degree is got higher.In turn, update section 19 updates the different degree of the signal, so that being determined as by the 4th determination unit 21
Similarity is not higher than the different degree in the case where a reference value, than being determined as that similarity is higher than the feelings of a reference value by the 4th determination unit 21
Different degree under condition is high.
On the other hand, if the judgement of the 1st determination unit 17 and the judgement of the 2nd determination unit 18 are inconsistent, update section 19 is more
The different degree of new signal, so that different degree is lower.In turn, update section 19 updates the different degree of the signal, so that by the 4th determination unit
21 are determined as the similarity higher than the different degree in the case where a reference value, than being determined as that similarity is not higher than by the 4th determination unit 21
Different degree in the case where a reference value is low.
The example that update section 19 updates different degree also according to the result determined by the 4th determination unit 21 is not limited to above-mentioned example
Son.For example, update section 19 can also update different degree according to the following formula.Following formula is using 50% as in the case where said reference value
Calculated example.
The case where similarity is higher than 50%
(updated different degree)=(different degree before update) × (conversion ratio of different degree: such as 1.5) × (by the 1st
Determination unit 17 is determined as dissimilar number/the 1st determination unit 17 judgement sum) × ((100- similarity [%])/50)
The situation that similarity is 50% or less
(updated different degree)=(different degree before update) × (conversion ratio of different degree: such as 0.5) × (by the 1st
Determination unit 17 is determined as similar number/the 1st determination unit 17 judgement sum) × ((50- similarity [%])/50)
Above formula shows update section 19 also according to the number for being determined as dissmilarity by the 1st determination unit 17 or is determined as similar time
The example of the different degree of number more new signal.Without the concern for above-mentioned number, if the 3rd, the right of above formula for 1 into
Row calculates.Equally, above formula shows update section 19 also according to the similarity by the calculated tracking data of the 2nd calculation part 13
It is worth the example of the different degree of more new signal.Without the concern for the value of above-mentioned similarity, if the 4th, the right of above formula
It is calculated for 1.
If it is above-mentioned calculated example, then for example higher for similarity but thing in the obvious dissmilarity of maintenance person
Example, can be greatly reduced the different degree of signal.Equally, lower for similarity but in the obvious similar thing of maintenance person
Example, can greatly improve the different degree of signal.
Embodiment 5
In the present embodiment, illustrate update section 19 also according to the information update the 2nd for the importer for carrying out feed back input
The example of the different degree of each signal stored in storage unit 12.The overall diagram of searching system is identical as Fig. 1.Retrieve the whole of device 1
Body legend is such as identical as Figure 12.Retrieval device 1 also can have the 3rd determination unit 20.Retrieval device 1 can also have the 4th judgement
Portion 21.
In the example shown in present embodiment, for example, carrying out and the identical movement of movement shown in Figure 13.In addition,
In example shown in present embodiment, the information for having carried out the importer of feed back input is inputted from input unit 16.In S304, more
New portion 19 updates the important of each signal stored in the 2nd storage unit 12 also according to the information of the importer inputted from input unit 16
Degree.For example, maintenance person inputs the employee number of oneself from input unit 16.Update section 19, which for example also considers, has carried out feed back input
The different degree of the proficiency of maintenance person more new signal.For example, update section 19 updates different degree according to the following formula.
(updated different degree)=(different degree before the update) × (conversion ratio of different degree: such as 1.5) × (importer
Work year/constant)
As above-mentioned constant, such as can be using the average value of the work year of maintenance person.Above-mentioned constant can be 1.This
Outside, in above formula, it also can replace " the work year of importer " and use " the experience year of importer ".In above formula,
It can replace " the work year of importer " and use " failure of importer corresponds to number ".Information required for above formula for example with
Employee number is stored in association in retrieval device 1.
Update section 19 can also more new signal different degree so that for example in the case where importer belongs to particular demographic,
Compared with the case where importer is not belonging to particular demographic, different degree is got higher.
By the Information application of importer example disclosed in embodiment 4, for example, update section 19 can also be with
Different degree is updated according to the following formula.
The case where similarity is higher than 50%
(updated different degree)=(different degree before update) × (conversion ratio of different degree: such as 1.5) × ((by the 1st
Determination unit 17 is determined as dissimilar number × importer work year) the judgement sum of/the 1st determination unit 17) × (100- phase
Like degree [%]/50)
In above formula, the 4th, the right can be 1.In addition, also can be similarly in the case where similarity is 50% situation below
Using.
It, then can be by the message reflection for the people for carrying out feed back input to each letter if it is example shown in present embodiment
Number different degree value in.As above-mentioned example, as long as only inputting employee number etc. from input unit 16, it will be able to mitigate maintenance
The labour of member and time.
Embodiment 6
In the present embodiment, illustrate that update section 19 updates the 2nd also according to the number determined by the 1st determination unit 17 and deposits
The example of the different degree of each signal stored in storage portion 12.The overall diagram of searching system is identical as Fig. 1.Retrieve the entirety of device 1
Legend is such as identical as Figure 12.Retrieval device 1 also can have the 3rd determination unit 20.Retrieval device 1 can also have the 4th determination unit
21.Update section 19 can also consider the information of the importer inputted from input unit 16 when updating different degree.
In the example shown in present embodiment, update section 19 for example updates different degree according to the following formula.
(updated different degree)=(different degree before update) × f (x)
F (x) is correction function.The number that x is 17 pairs of the 1st determination unit as the tracking data of object and is determined.Implement
It is 1 and the situation unrelated with the value of x that example shown in mode 2, which is equivalent to f (x),.
Figure 19 and Figure 20 is the figure for showing the example of updated different degree.Figure 19 and Figure 20, which is shown, makes weight by update
Spend the example got higher.In the example shown in Figure 19, reach n in the judgement number of the 1st determination unit 171Before, different degree
Change rate is a1.It is n in the judgement number of the 1st determination unit 171~n2In a period of, the change rate of different degree is a2.Change rate a2
Greater than change rate a1.Reach n in the judgement number of the 1st determination unit 172When, the change rate of different degree becomes a3.Change rate a3It is less than
Change rate a2.Change rate a3It can be with change rate a1It is identical.The variation of updated different degree can be shown with curve.Sentence the 1st
The judgement number for determining portion 17 reaches n2Afterwards, different degree can not also be made to change.
Maintenance person may choose the check box of mistake when carrying out feed back input.By making updated different degree as schemed
Variation shown in 19 can not make value update different degree with significantling change before carrying out input to a certain degree.For example, can incite somebody to action
n1It is set as 3.
In the example shown in Figure 20, reach n in the judgement number of the 1st determination unit 173Before, the change rate of different degree is
a4.Reach n in the judgement number of the 1st determination unit 173When, the change rate of different degree becomes a5.Change rate a4Greater than change rate a5.More
The variation of different degree after new can be shown with curve.Reach n in the judgement number of the 1st determination unit 173Afterwards, weight can not also be made
Spend variation.
In Figure 19 and Figure 20, the absolute value for the number that horizontal axis is determined using the 1st determination unit 17.In order to equally be located in
It manages the tracking data of frequent progress feed back input and almost without the tracking data of feed back input, above-mentioned horizontal axis can also be used
The ratio for the number that 1st determination unit 17 is determined.For example, horizontal axis can also using " the 1st 17 pairs of determination unit as object with
The number that track data are determined/the 1st determination unit 17 judgement sum ".In addition, in horizontal axis using " the 1st determination unit 17 is sentenced
In the case where the ratio of fixed number ", when carrying out initial feed back input, aforementioned proportion 100%, may not suitably into
The update of row different degree.Therefore, in the case where horizontal axis uses aforementioned proportion, a certain number of feed back inputs can also carried out
Before, make the update function stop of different degree.
Each portion shown in label 9~14 and 16~21 shows the function that retrieval device 1 has.Figure 21 is to show retrieval device
The figure of 1 hardware configuration.As hardware resource, device 1 is retrieved for example with the processing electricity comprising processor 22 and memory 23
Road.The function that 1st storage unit 10 and the 2nd storage unit 12 have is realized by memory 23.Retrieval device 1 is held by processor 22
The program stored in line storage 23 is achieved in the function in each portion shown in label 9,11,13~14 and 16~21.
Processor 22 be also referred to as CPU (Central Processing Unit: central processing unit), central processing unit,
Processing unit, arithmetic unit, microprocessor, microcomputer or DSP.As memory 23, semiconductor memory, magnetic can be used
Disk, floppy disk, CD, compact disc, mini-disk or DVD.Adoptable semiconductor memory includes RAM, ROM, flash memory, EPROM
With EEPROM etc..
Part or all for each function that device 1 has can also be retrieved by hardware realization.Dress is retrieved as realizing
Set the hardware of 1 function, can using single circuit, compound circuit, the processor of sequencing, concurrent program processor,
ASIC, FPGA or their combination.
Industrial availability
Searching system of the invention can be applied to retrieve signal group similar with signal specific group from multiple signal groups
System.
Label declaration
1: retrieval device；2: carriage；3: counterweight；4: main rope；5: driving rope sheave；6: motor；7: control panel；8: communication
Device；9: receiving unit；10: the 1 storage units；11: the 1 calculation parts；12: the 2 storage units；13: the 2 calculation parts；14: display control
Portion；15: display；16: input unit；17: the 1 determination units；18: the 2 determination units；19: update section；20: the 3 determination units；21: the
4 determination units；22: processor；23: memory.
Claims (15)
1. a kind of searching system, wherein the searching system includes
1st storage unit stores the 1st signal group comprising multiple signals and comprising being somebody's turn to do with include in the 1st signal group
2nd signal group of the corresponding multiple signals of multiple signals；
1st computing unit calculates the signal for including in the 1st signal group and the 2nd letter according to corresponding each signal
The similarity for the signal for including in number group；
2nd storage unit stores the different degree of each signal for the multiple signal for including in the 1st signal group；With
And
2nd computing unit, according to the similarity and the 2nd storage by the calculated each signal of the 1st computing unit
The different degree of each signal stored in unit calculates the similarity of the 1st signal group and the 2nd signal group.
2. searching system according to claim 1, wherein
The searching system also includes
Input unit is used to input information；
1st judging unit determines that the 1st signal group is with the 2nd signal group according to the information inputted from input unit
It is no similar；
2nd judging unit, determine to include in the signal for including in the 1st signal group and the 2nd signal group with the letter
Whether number corresponding signal is similar；And
Updating unit, according to the result determined by the 1st judging unit and the knot determined by the 2nd judging unit
Fruit updates the different degree of the signal stored in the 2nd storage unit.
3. searching system according to claim 2, wherein
When being determined as that the 1st signal group is similar to the 2nd signal group by the 1st judging unit, the updating unit
The different degree stored in the 2nd storage unit is updated, so that being determined as the important of similar signal by the 2nd judging unit
Degree is got higher, and is determined as that the different degree of dissimilar signal is lower by the 2nd judging unit.
4. searching system according to claim 3, wherein
The searching system also has the 3rd judging unit, and the 3rd judging unit determines the signal for including in the 1st signal group
Value whether be the particular value for meeting preset condition,
When being determined as that the 1st signal group is similar to the 2nd signal group by the 1st judging unit, the updating unit
For the different degree for being determined as the similar signal update signal by the 2nd judging unit, so that by the 3rd judging unit
It is determined as the different degree in the case that the value of the signal is particular value, than the value for being determined as the signal by the 3rd judging unit
It is not the different degree height in the case where particular value.
5. searching system according to claim 2 or 3, wherein
When being determined as the 1st signal group and the 2nd signal group dissmilarity by the 1st judging unit, the update is single
Member updates the different degree stored in the 2nd storage unit, so that being determined as dissimilar signal by the 2nd judging unit
Different degree is got higher, and is determined as that the different degree of similar signal is lower by the 2nd judging unit.
6. searching system according to claim 2, wherein
The searching system also has the 4th judging unit, and the 4th judging unit determines calculated by the 2nd computing unit
Whether the similarity of the 1st signal group and the 2nd signal group is higher than a reference value,
The updating unit is stored also according to what is determined by the 4th judging unit as a result, updating in the 2nd storage unit
Different degree.
7. searching system according to claim 6, wherein
The updating unit updates the 2nd storage unit also according to the value by the calculated similarity of the 2nd computing unit
The different degree of middle storage.
8. searching system according to claim 6 or 7, wherein
In the case where being determined as that similarity is higher than a reference value by the 4th judging unit, the updating unit is also according to by institute
The number that the 1st judging unit is determined as the 1st signal group Yu the 2nd signal group dissmilarity is stated, it is single to update the 2nd storage
The different degree stored in member.
9. searching system according to claim 6 or 7, wherein
In the case where being determined as similarity lower than a reference value by the 4th judging unit, the updating unit is also according to by institute
It states the 1st judging unit and is determined as the 1st signal group number similar with the 2nd signal group, update the 2nd storage unit
The different degree of middle storage.
10. according to searching system described in any one in claim 2~9, wherein
The information of importer is inputted from the input unit,
The updating unit updates in the 2nd storage unit also according to the information of the importer inputted from the input unit
The different degree of storage.
11. according to searching system described in any one in claim 2~10, wherein
The updating unit is updated and is deposited in the 2nd storage unit also according to the number determined by the 1st judging unit
The different degree of storage.
12. according to searching system described in any one in claim 2~11, wherein
The 1st signal group and the whether similar information of the 2nd signal group are inputted from the input unit.
13. according to searching system described in any one in claim 2~12, wherein
From input unit input for the annotation of the 1st signal group and for the annotation of the 2nd signal group,
1st judging unit is according to inputting from the input unit for the annotation of the 1st signal group and for described
The annotation of 2nd signal group determines whether the 1st signal group and the 2nd signal group are similar.
14. searching system described in any one according to claim 1~13, wherein
1st computing unit calculates to be wrapped in the combination and the 2nd signal group of the signal specific for including in the 1st signal group
The combined similarity of signal corresponding with signal specific combination that is containing,
The combined different degree of the signal specific is stored in the 2nd storage unit,
2nd computing unit also according to by the calculated signal specific of the 1st computing unit combined similarity and
The combined different degree of the signal specific stored in 2nd storage unit calculates the 1st signal group and the 2nd letter
The similarity of number group.
15. searching system described in any one according to claim 1~14, wherein
The searching system also has display control section, which will be calculated described by the 2nd computing unit
1st signal group gets up to show display with the similarity of the 2nd signal group and the information association of the similar signal of expression
Show,
The display control section is according to the similarity and the 2nd storage by the calculated each signal of the 1st computing unit
The different degree of each signal stored in unit determines the similar signal.
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| PCT/JP2016/087567 WO2018109929A1 (en) | 2016-12-16 | 2016-12-16 | Retrieval system |
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- 2016-12-16 WO PCT/JP2016/087567 patent/WO2018109929A1/en active Application Filing
- 2016-12-16 CN CN201680091113.4A patent/CN110383264B/en active Active
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| CN101903883A (en) * | 2007-12-20 | 2010-12-01 | 皇家飞利浦电子股份有限公司 | Method and device for case-based decision support |
| WO2009096190A1 (en) * | 2008-02-01 | 2009-08-06 | Kanazawa Institute Of Technology | Quotation judgment supporting device |
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| CN110383264B (en) | 2022-12-30 |
| WO2018109929A1 (en) | 2018-06-21 |
| KR20190049794A (en) | 2019-05-09 |
| JP6575694B2 (en) | 2019-09-18 |
| JPWO2018109929A1 (en) | 2019-06-24 |
| KR102152218B1 (en) | 2020-09-07 |
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