TWI768150B - Maintenance work supporting apparatus for elevator - Google Patents

Abstract

An object of the present invention is to provide a maintenance work supporting apparatus (1) for an elevator (2) capable of setting a priority of a corrective action in consideration of correctness of the corrective action. The maintenance work supporting apparatus (1) comprises a history storing unit (102), a searching unit (103), a calculating unit (107), and a priority setting unit (108). The history storing unit (102) stores information on a failure and information on a corrective action against the failure. The searching unit (103) searches the history storing unit (102) for a failure similar to a failure represented by input failure data. Regarding the failure searched for by the searching unit (103), the calculating unit (107) calculates a recurrence rate for each corrective action against the failure. The recurrence rate represents a percentage at which a failure similar to the failure has occurred within a predetermined time period after the failure. The priority setting unit (108) sets a priority of a corrective action against the failure represented by the failure data based on the recurrence rate calculated for each corrective action by the calculating unit (107).

Description

Lift maintenance operation support device

The present invention relates to an elevator maintenance operation support device.

Patent Document 1 describes an example of the maintenance operation support device. The operation support device is maintained, and the information on the abnormality that has occurred and the information on the handling of the above abnormality are memorized as a past case. The operation support device is maintained, and priority is set for past cases based on the correlation with the input data. [Prior Technology Literature] [Patent Literature]

[Patent Document 1] Japanese Invention Patent No. 5820072

[Problems to be solved by the invention]

However, the maintenance operation support device described in Patent Document 1 does not consider the correctness of the treatment. Therefore, it is possible to set priorities for actions that are highly likely to recur after the temporary repair.

The present invention was made in order to solve such a problem. An object of the present invention is to provide a lift maintenance operation support device that can set the priority of the treatment in consideration of the correctness of the treatment. [means to solve the problem]

The elevator maintenance operation support device according to the present invention includes a history memory unit for storing fault information and handling information for the above-mentioned failures; a retrieval unit for retrieving from the history memory unit a failure similar to the failure indicated by the input failure data; and a calculation unit, With regard to the failures retrieved by the retrieval unit, for each action of the failure, a recurrence rate indicating the proportion of failures similar to the failure described above within a predetermined period from the failure is calculated; Recurrence rate, set the priority of treatment for the failure indicated by the data. [Inventive effect]

According to the present invention, the priority setting unit sets the priority of the treatment in accordance with the recurrence rate for each treatment. Thereby, the priority of the treatment can be set in consideration of the correctness of the treatment.

Forms for carrying out the present invention will be described with reference to the attached drawings. In each figure, the same symbols are attached to the same or corresponding parts, and overlapping descriptions are appropriately simplified or omitted.

first embodiment FIG. 1 is a configuration diagram of a maintenance operation support apparatus according to the first embodiment.

The maintenance operation support device 1 is suitable for the elevator 2 .

The elevator 2 is installed in the building 3 .

Building 3 has multiple floors. The elevator room 4 runs through each floor of the building 3 . The plurality of boarding points 5 are installed on each floor of the building 3, respectively. The plurality of boarding points 5 face the elevator car 4 respectively. The plurality of boarding points 5 respectively include boarding doors 6 .

The elevator 2 includes a cage 7 , a counterweight 8 , a hoist 9 , and a main rope 10 .

The cage 7 is installed to ascend and descend along a guide rail (not shown) inside the elevator room 4 . Cage 7, including cage door 11. The cage door 11 is configured to be able to open and close in conjunction with the boarding door 6 when the cage 7 stops at any one of the plurality of floors. The counterweight 8 is installed inside the elevator car 4 so as to be able to ascend and descend along a guide rail (not shown). The hoist 9 is installed in the upper part of the elevator room 4 . The main rope 10 is rolled by the hoist 9 . Both ends of the main rope 10 are held by the cage 7 and the counterweight 8, respectively.

The terminal device 12 is held by the maintenance staff 13 .

The maintenance operation support device 1 includes an input unit 101 , a history storage unit 102 , a retrieval unit 103 , a determination unit 104 , an attribute storage unit 105 , a classification unit 106 , a calculation unit 107 , a priority setting unit 108 , and an output unit 109 .

The input unit 101 is connected to the terminal device 12 through the communication line 14 in order to be able to input fault data. The communication line 14 is, for example, an Internet line. The failure data is the data showing the failure of the elevator 2. Fault data, including information on the type and status of the fault. The failure data is input from the terminal device 12 by, for example, the maintenance staff 13 . The fault data, for example, contains the fault code set for each fault type or the text of free description.

The history storage unit 102 is configured to be able to store a failure history database. The failure history database is a database for storing failure history data. The failure history data includes information on failures that have occurred in the past and information on how to deal with the aforementioned failures.

The retrieval unit 103 is connected to the input unit 101 in order to obtain failure data. The retrieval unit 103 is connected to the history storage unit 102 in order to be able to access the failure history database. The retrieval unit 103 is configured to obtain a similar failure data table corresponding to the failure data from the failure history database by searching. The similar failure data table is a data table of similar failure data including plural corresponding failure data. Similar failure data refers to information including failure information similar to the failure indicated by the failure data, and information on the disposition of the above-mentioned similar failure.

The determination unit 104 is connected to the retrieval unit 103 in order to obtain a similar failure data table. The determination unit 104 is configured to be able to determine the presence or absence of recurrence with respect to plural similar failure data included in the similar failure data table, respectively. The presence or absence of recurrence is a value indicating whether or not a failure similar to the above-mentioned failure has occurred during the recurrence determination period after the treatment of the failure. Similar failure data, including the presence or absence of recurrence values. The recurrence determination period is a period predetermined for the determination unit 104 .

The attribute storage unit 105 is configured to be able to store an elevator attribute database. The elevator attribute database is a database for storing elevator attribute data. The elevator attribute data is data including attribute information of the elevator 2 .

The classification unit 106 is connected to the determination unit 104 in order to be able to obtain a similar failure data table for determining the presence or absence of recurrence with respect to each similar failure data. The classification unit 106 is connected to the attribute storage unit 105 in order to be able to access the elevator attribute database. The classification unit 106 is configured to generate a combined data table similar to the failure data table and the elevator attribute database. A combination data table is a data table containing plural combination data. The combination data is the data that combines the similar failure data and the elevator attribute data of the elevator 2 that has the failure included in the above similar failure data. The classification unit 106 is configured to be able to classify each of the plural similar failure data included in the similar failure table into a group corresponding to the attribute of the elevator 2 based on the combined data table.

The configuration of the calculation unit 107 is connected to the classification unit 106 in order to acquire plural similar failure data classified into groups. The calculation unit 107 is configured to calculate the recurrence rate for each treatment based on the presence or absence of recurrence values included in the similar failure data.

The priority setting unit 108 is connected to the calculation unit 107 in order to obtain data showing the recurrence rate calculated for each treatment. The priority setting unit 108 is configured so that the treatment priority can be set according to the recurrence rate.

The output unit 109 is connected to the priority setting unit 108 so that the data indicating the set treatment priority can be acquired. The output unit 109 is connected to the terminal device 12 via the communication line 14 so as to be able to transmit data indicating the treatment and the priority of the treatment setting.

During normal operation of the elevator 2 , the main rope 10 is driven by the hoist 9 to move. The cage 7 and the counterweight 8 move up and down following the movement of the main rope 10 . The cage 7 responds to the call from the user according to the lifting and lowering in the elevator room 4 . Cage 7 stops on the floor where the elevator ride point 5 is installed. The elevator door 6 is opened in conjunction with the cage door 11 . The user of the elevator 2 gets on the cage 7 or gets off the car from the boarding point 5 .

When a failure occurs in the elevator 2 , the maintenance worker 13 inputs the failure data to the maintenance operation support device 1 through the terminal device 12 . The maintenance operation support device 1 sets a priority for the treatment based on the failure recurrence rate of the failure indicated by the similar failure data. The operation support device 1 is maintained, and data indicating the treatment and the priority of the treatment setting is output to the terminal device 12 . The terminal device 12 presents the action to the maintenance staff according to the set priority.

Next, the failure history data will be described using FIG. 2 . FIG. 2 is a diagram showing an example of the failure history database according to the first embodiment.

The fault history data, as fault information, for example, includes information identifying the elevator 2 in which the above-mentioned fault occurred, the date of occurrence of the fault, the fault code, and the fault condition. The information for identifying the elevator 2, such as the building number and the serial number, and the building number are the numbers for identifying each building 3 above 1. The serial number is a number for identifying each elevator 2 installed in the building 3 or more. The date of the failure is the date of the failure. The fault code is the code set for each fault type. The fault condition is a text representing the free description of the fault condition. In addition, the failure history data may include recurrence data indicating that the same failure occurred in the same elevator during a predetermined period. Recurrence data refers to the data of the code or free-form text indicating the recurrence status.

The failure history data, as the disposal information, includes, for example, the disposal code and the disposal content. The disposal code is the code set for each disposal type. The handling content is a text indicating the free description of handling content.

Next, the data of elevator attribute is demonstrated using FIG. 3. FIG. Fig. 3 is a diagram showing an example of the elevator attribute database according to the first embodiment.

The elevator attribute data, as the information for identifying the elevator 2, includes, for example, a build number or a serial number. Elevator attribute data, as attribute information, include, for example, the model, the closing method, and the number of years of completion.

Next, similar failure data will be described using FIG. 4 . FIG. 4 is a diagram showing an example of a similar failure data table according to the first embodiment.

FIG. 4 illustrates a similar failure data table obtained from the failure history database of FIG. 2 as an example. In this example, the failure data corresponding to the similar failure data table represents the failure similar to the failure of the failure condition "bad door switch".

The similar failure data table, as a failure similar to the failure indicated by the corresponding failure data, includes the similar failure data of the failure in the failure state "defective door switch". Similar to the fault data, including the information contained in the fault history data and whether there is a recurrence value.

Next, the combined data will be described with reference to FIG. 5 . Fig. 5 is a diagram showing an example of the combination data table according to the first embodiment.

Fig. 5 shows a combined data table generated from the similar failure data table of Fig. 4 and the elevator attribute database of Fig. 3 as an example.

The combination of data is based on the information of identifying the elevator 2 as the key, and the elevator attribute data obtained from the elevator attribute database is combined with the data similar to the fault data.

For example, in the similar failure data of the failure occurred in the elevator 2 identified by the construction number "1234567" and the serial number "001", the additional model "A", the closing method "CO", and the number of years of completion "10" are used as the above-mentioned elevator 2 properties. When the similar failure data of the failure occurred in the elevator 2 is plural, attribute information is respectively added to the above plural similar failure data. Similarly, in the similar failure data of the failure occurred in the elevator 2 identified by the construction number "2345678" and the serial number "001", the additional model "B", the closed door method "2S", and the completion year "6" are used as the above-mentioned lift Properties of Ladder 2.

Next, the function of the maintenance operation support device 1 will be described with reference to FIG. 6 . FIG. 6 is a diagram showing an example of data processing in the maintenance operation support apparatus according to the first embodiment.

The maintenance person 13 inputs the failure data to the input unit 101 through the terminal device 12 . In this example, the faults with the fault code "F001" and the fault condition "door opening/closing failure" occurred in the elevator with the model "A", the door closing method "CO", and the completion year "4".

The retrieval unit 103 acquires failure data from the input unit 101 . The retrieval unit 103 obtains a similar failure data table corresponding to the failure data from the failure history database according to the retrieval. The retrieval unit 103, for example, when the trouble codes of the plural troubles match, searches the similar trouble data as troubles that are similar to the plural troubles.

The determination unit 104 acquires the similar failure data table from the retrieval unit 103 . The determination unit 104 determines the presence or absence of recurrence for each of the plural similar failure data included in the acquired similar failure data table.

The determination unit 104 determines the presence or absence of recurrence, for example, as follows. The determination unit 104 initializes the recurrence-presence value based on the recurrence-absence value of all the similar-failure data included in the similar-error-data table "none". The determination unit 104 searches the similar failure data table for a pair of similar failure data in which the interval between the occurrence time of the failure does not exceed the recurrence determination period. The searched pair of similar failure data respectively indicates that the failure occurred in the same elevator, and the determination unit 104, in the above-mentioned pair of similar failure data, takes the presence or absence of recurrence of the earlier failure as "yes". Here, the determination unit 104 calculates the interval between the failure occurrence time and date as the unit of day by omitting the units below the hour. The recurrence determination period, with k as an integer, is k days. Furthermore, when the failure history data includes recurrence data, the determination unit 104 determines the presence or absence of recurrence by searching for the presence or absence of a code or text indicating recurrence.

The classification unit 106 acquires from the determination unit 104 a similar failure data table for determining the presence or absence of recurrence. The classification unit 106 generates a combined data table from the acquired similar failure data table and the elevator attribute database. The classification unit 106, according to the combined data table, classifies the plural similar failure data included in the similar failure data table into groups corresponding to the attributes of the elevator 2, respectively.

The classification unit 106 classifies the plural similar failure data, for example, as follows.

The classification unit 106 has a group list. Group list, which is a list of storage groups. A list of groups, which is initially an empty list. Group, with a list of using properties. The attribute list used is all attribute lists used for the elevator 2 of the group classification with the above-mentioned list.

The classification unit 106 stores the entire plurality of similar failure data included in the similar failure data table in the group list as one unclassified group. The above group, with an empty list of usage properties.

The classification unit 106 repeats the next processing until the group list does not contain any unclassified groups. The classification unit 106 extracts one unclassified group from the group list. The classification unit 106 searches for one classification attribute from the attributes not included in the use attribute list of the extracted group. Classification attribute: When classifying the extracted groups into plural subgroups according to the above classification attribute, the recurrence rate among the plural subgroups has the attribute of non-accidental difference. Here, the recurrence rate is calculated based on the presence or absence of recurrence values of similar failure data included in each of the plural subgroups. The classification unit 106 sets the use attribute list of the plural subgroups as a list of the use attribute list for adding the classification attribute to the extracted group. The classification unit 106 respectively adds a plurality of subgroups to the group list as unclassified groups. On the other hand, when the classification attribute is not searched, the classification unit 106 returns the extracted group to the group list as a classified group.

Here, the classification unit 106 determines whether or not there is a non-accidental difference in recurrence rates between subgroups based on the p-value of the non-accidental probability that is the null hypothesis that "there is no non-accidental difference in recurrence rates between subgroups". The classification unit 106 calculates p-values for attributes not included in the use attribute list of the extracted group, respectively. The classification unit 106 selects the attribute with the lowest p value as the classification attribute among the attributes whose p value is lower than the non-accidental level. When it is not an attribute whose p value is lower than the non-accidental level, the classification unit 106 determines that the classification attribute is not searched. The classification unit 106 integrates the subgroups with no non-accidental difference in recurrence rate among the plural subgroups classified according to the classification attribute.

In this example, the classification by the classification unit 106 will be described more specifically. The classification unit 106 obtains 500 similar failure data sheets. The classification unit 106 generates a combined data table. The classification unit 106 receives the unclassified group including the combined data of 500 pieces into the group list as a parent group. The list of used properties for the parent group is empty.

The classification unit 106 extracts the parent group from the group list. The classification unit 106 searches for classification attributes from attributes not included in the use attribute list of the parent group. When the p-value for the closed-door method is lower than the p-value for the non-accidental level and other attributes, the classification unit 106 determines that the closed-door method is a classification attribute. The classification unit 106 classifies the parent group into sub-groups such as "CO" and "2S" according to the closed-door method. In the closed-door method, when the recurrence rate of the subgroups other than "CO" and "2S" has no statistically non-accidental difference, the classification unit 106 integrates the subgroups other than "CO" and "2S" as the subgroup of "Others" group. The classification unit 106 stores subgroups of 200 pieces of combined data including "CO" in the closed-door method into the group list as unclassified groups. The classification unit 106 stores subgroups of 200 pieces of combined data in the closed-door method including "2S" into the group list as unclassified groups. The classification unit 106 stores subgroups of 100 pieces of combined data including "others" in the closed-door method into the group list as unclassified groups. A list of usage properties that these groups have, including closed doors.

The classification unit 106 extracts the group whose door closing method is "CO" from the group list. The classification unit 106 determines that the model is a classification attribute from among the attributes other than the closed-door method included in the use attribute list. The classification unit 106 classifies the extracted groups into subgroups of "A", "B", "C", and "others" according to the model. The classification unit 106 stores the sub-groups including 50 pieces of combined data whose model is "A" as the closed-door method "CO" in the group list as an unclassified group. A list of the usage attributes of the above groups, including the closing method and model. The classification unit 106 similarly stores the subgroups whose models are "B", "C", and "others" in the group list as unclassified groups.

The classification unit 106 extracts the group whose door closing method is "2S" from the group list. The classification unit 106 determines the number of years of completion as a classification attribute from among attributes other than the closed-door method included in the use attribute list. The classification unit 106 classifies the extracted groups into subgroups of "less than 5 years" and "more than 6 years" according to the number of years of completion. The classification unit 106 collects the subgroup including the 120 pieces of combined data whose closing method is "CO" and the number of years of completion is "5 years or less" in the group list as an unclassified group. A list of usage attributes that the above groups have, including closing methods and years of completion. The classification unit 106 similarly stores the subgroups whose completion years are "more than 6 years" in the group list as unclassified groups.

The classification unit 106 extracts a group whose closing method is "other" from the group list. The classification unit 106 searches for classification attributes from attributes other than the closed-door method included in the use attribute list. When there is no attribute with a p-value lower than the non-accidental level for the classification by the above-mentioned attribute among the attributes other than the closed-door method included in the use attribute list, the classification unit 106 determines that the classification attribute is not searched. The classification unit 106 returns the sub-group of 100 pieces of combined data including "others" in the closed-door method to the group list as the classified group.

The classification unit 106 repeats the hierarchical classification of the groups according to the attributes of the elevator 2 until the group list does not include an unclassified list.

The calculation unit 107 obtains from the classification unit 106 each of the plural similar failure data classified into groups. The calculation unit 107 searches for a group corresponding to the attributes of the elevator 2 in which the failure occurred. The calculation unit 107 calculates the recurrence rate for each process of the searched groups. The recurrence rate is the ratio of the number of recurrences to the number of failures. The number of failures is the number of pieces of data contained in the group. The number of recurrences is the number of data for which the value of recurrence is "Yes" in the data included in the group. The calculation unit 107 also calculates the recurrence rate for each treatment when there is no non-accidental difference in the recurrence rate.

In this example, the retrieval method is "CO" and the model is "A". The calculation unit 107 calculates the number of recurrences to be 50% of the 20 failures in the searched group for which the treatment "check" is performed. Similarly, the calculation unit 107 calculates the number of recurrences as 0% for 10 failures in the searched group for which "substrate exchange" is to be handled.

The priority setting unit 108 acquires, from the calculation unit 107 , data indicating the recurrence rate calculated for each treatment. The priority setting unit 108 sets a higher priority in order from the treatment with a smaller recurrence rate. The priority setting unit 108 integrates lower-level processing with low priority as "others".

In this example, the priority setting unit 108 sets the highest priority for the process "substrate exchange". The priority setting unit 108 sets the next highest priority to the treatment "check".

The output unit 109 acquires data indicating the set treatment priority from the priority setting unit 108 . The output unit 109 transmits, to the terminal device 12, data indicating the treatment and the priority set for the treatment.

The terminal device 12 prompts the maintenance staff 13 for the treatment with high priority by displaying the treatment in the order of priority.

Next, the operation of the maintenance operation support device 1 will be described with reference to FIGS. 7 to 9 . FIG. 7 is a flowchart showing an example of the operation of the maintenance operation support apparatus according to the first embodiment. FIG. 8 is a flowchart showing an example of the operation of the determination unit according to the first embodiment. FIG. 9 is a flowchart showing an example of the operation of the classification unit according to the first embodiment.

In FIG. 7, the operation|movement of the whole maintenance operation support apparatus 1 is shown.

In step S101, the input unit 101 acquires failure data. After that, the operation of the operation support device 1 is maintained, and the process proceeds to step S102.

In step S102, the retrieval unit 103 obtains a similar failure data table corresponding to the failure data according to the retrieval. After that, the operation of the operation support device 1 is maintained, and the process proceeds to step S103.

In step S103, the determination unit 104 determines the presence or absence of recurrence with respect to each similar failure data table in the similar failure data table. After that, the operation of the operation support device 1 is maintained, and the process proceeds to step S104.

In step S104, the classification unit 106 generates a combined data table according to the similar fault data table and the elevator attribute database. After that, the operation of the operation support device 1 is maintained, and the process proceeds to step S105.

In step S105, the classification unit 106, according to the combined data table, respectively classifies the plural similar failure data into groups corresponding to the attributes of the elevator 2. After that, the operation of the operation support device 1 is maintained, and the process proceeds to step S106.

In step S106 , the calculation unit 107 calculates the recurrence rate for each treatment with respect to similar failures included in the group corresponding to the attribute of the elevator 2 in which the failure occurred. After that, the operation of the operation support device 1 is maintained, and the process proceeds to step S107.

In step S107, the priority setting unit 108 sets the priority of treatment for the failure based on the calculated recurrence rate. After that, the output unit 109 transmits data indicating the treatment and the priority set for the treatment. After that, the operation of the maintenance operation support device 1 ends.

FIG. 8 shows the operation of the determination unit 104 in step S103 in FIG. 7 .

In step S201, the determination unit 104 obtains a similar failure data table including m pieces of similar failure data. After that, the determination unit 104 initializes the presence or absence of recurrence value of the similar failure data table. After that, the operation of the determination unit 104 proceeds to step S202.

In step S202, the determination unit 104 rearranges the similar fault data table in ascending order according to the date of occurrence of the fault. After that, the operation of the determination unit 104 proceeds to step S203.

In step S203, the determination unit 104 substitutes 0 into the loop variable i. After that, the operation of the determination unit 104 proceeds to step S204.

In step S204, the determination unit 104 determines whether i<m. When the determination result is Yes, the operation of the determination unit 104 proceeds to step S205. When the determination result is No, the operation of the determination unit 104 ends.

In step S205, the determination unit 104 substitutes i+1 into the loop variable j. After that, the operation of the determination unit 104 proceeds to step S206.

In step S206, the determination unit 104 determines whether or not j≦m. When the determination result is No, the operation of the determination unit 104 proceeds to step S207. When the determination result is Yes, the operation of the determination unit 104 proceeds to step S208.

In step S207, the determination unit 104 adds 1 to the loop variable i. After that, the operation of the determination unit 104 proceeds to step S204.

In step S208, the determination unit 104 calculates the interval between the occurrence time of the failure with respect to the i-th and j-th similar failure data. After that, the determination unit 104 determines whether or not the calculated interval is k days or less in the recurrence determination period. When the determination result is No, the operation of the determination unit 104 proceeds to step S207. When the determination result is Yes, the operation of the determination unit 104 proceeds to step S209.

In step S209, the determination unit 104 determines whether the failures indicated by the i-th and j-th similar failure data, respectively, are failures occurring in the same elevator. When the determination result is Yes, the operation of the determination unit 104 proceeds to step S210. When the determination result is No, the operation of the determination unit 104 proceeds to step S211.

In step S210, the determination unit 104 sets the value of the presence or absence of recurrence of the i-th similar failure data as "yes". After that, the operation of the determination unit 104 proceeds to step S211.

In step S211, the determination unit 104 adds 1 to the loop variable j. After that, the operation of the determination unit 104 proceeds to step S206.

FIG. 9 shows the operation of the classification unit 106 in step S105 in FIG. 7 .

In step S301, the classification unit 106 adds all the plural similar failure data included in the similar failure data table to the initialized group list as one unclassified group. After that, the operation of the classification unit 106 proceeds to step S302.

In step S302, the classification unit 106 determines whether an unclassified group is included in the group list. When the determination result is Yes, the operation of the classification unit 106 proceeds to step S303. When the determination result is No, the operation of the classification unit 106 ends.

In step S303, the classification unit 106 selects and extracts one unclassified group from the group list. After that, the operation of the classification unit 106 proceeds to step S304.

In step S304, the classification unit 106 selects one attribute of the elevator 2 that has not been selected for the extracted group. After that, the operation of the classification unit 106 proceeds to step S305.

In step S305, the classification unit 106 determines whether or not the selected attribute is included in the use attribute list of the extracted group. When the determination result is No, the operation of the classification unit 106 proceeds to step S306. When the determination result is Yes, the operation of the classification unit 106 proceeds to step S310.

In step S306, the classification unit 106 classifies into plural sub-groups according to the attributes of the selected and extracted groups. After that, the operation of the classification unit 106 proceeds to step S307.

In step S307, the classification unit 106 calculates the recurrence rate for each of the plural subgroups. After that, the classification unit 106 calculates the p-value of the non-accidental probability of the null hypothesis that "there is no non-accidental difference between the recurrence rates of the subgroups classified according to the selected attribute". After that, the operation of the classification unit 106 proceeds to step S308.

In step S308, the classification unit 106 determines whether or not the calculated p value is lower than the non-accidental level. When the determination result is Yes, the operation of the classification unit 106 proceeds to step S309. When the determination result is No, the operation of the classification unit 106 proceeds to step S310.

In step S309, the classification unit 106 stores the selected attribute and the p-value for the above-mentioned attribute in the temporary list of the extracted groups. After that, the operation of the classification unit 106 proceeds to step S310.

In step S310, the classification unit 106 determines whether or not the attributes of all the elevators 2 are selected for the extracted group. When the determination result is No, the operation of the classification unit 106 proceeds to step S304. When the determination result is Yes, the operation of the classification unit 106 proceeds to step S311.

In step S311, the classification unit 106 determines whether or not the attribute and one or more p-values related to the attribute are stored in the temporary list for the extracted group. When the determination result is No, the operation of the classification unit 106 proceeds to step S312. When the determination result is Yes, the operation of the classification unit 106 proceeds to step S313.

In step S312, the classification unit 106 determines that the classification attribute is not searched. After that, the classification unit 106 adds the extracted group to the group list as a classified group. After that, the operation of the classification unit 106 proceeds to step S302.

In step S313, the classification unit 106 sets the p-value contained in the temporary list for the extracted group as the lowest attribute as the classification attribute. After that, the classification unit 106 adds the attributes contained in the use attribute list of the extracted group to the use attribute list of the subgroups classified according to the classification attribute. After that, the classification unit 106 adds the classification attribute to the use attribute list of the subgroups classified according to the above classification attribute. After that, the operation of the classification unit 106 proceeds to step S314.

In step S314, the classification unit 106 unifies the plural subgroups with no non-accidental difference in recurrence rate among the plural subgroups classified according to the classification attribute as one of the subgroups classified according to the classification attribute. After that, the operation of the classification unit 106 proceeds to step S315.

In step S315, the classification unit 106 respectively adds the plural subgroups classified according to the classification attributes to the group list as unclassified groups. After that, the operation of the classification unit 106 proceeds to step S302.

As described above, the maintenance operation support device 1 according to the first embodiment includes the history storage unit 102 , the retrieval unit 103 , the calculation unit 107 , and the priority setting unit 108 . The history storage unit 102 stores information on failures and information on how to deal with the failures. The retrieval unit 103 retrieves, from the history storage unit 102, a failure similar to the failure indicated by the input failure data. The calculation unit 107 and the failures retrieved by the retrieval unit 103 calculate the recurrence rate for each of the above-mentioned failure actions. The recurrence rate represents the proportion of failures similar to the failures described above within a predetermined period after the failures described above. The priority setting unit 108 calculates the recurrence rate for each treatment based on the calculation unit 107, and sets the priority of the treatment for the failure indicated by the failure data.

The maintenance operation support device 1 can determine a treatment with a high probability of failure recurrence like a temporary recovery, based on the recurrence rate calculated for each treatment. Thereby, the operation support device 1 can be maintained, and the treatment priority can be set in consideration of the correctness of the treatment. By maintaining the operation support apparatus 1, through the terminal device 12, the maintenance worker 13 can be prompted to take proper treatment in consideration of the correctness of the treatment.

In addition, the maintenance operation support device 1 includes the determination unit 104 . The determination unit 104 determines the presence or absence of recurrence of the failure retrieved by the retrieval unit 103 . The presence or absence of recurrence indicates whether or not a failure similar to the above-mentioned failure has occurred within a predetermined period from the above-mentioned failure. The calculation unit 107 calculates the recurrence rate for each treatment based on the presence or absence of recurrence determined by the determination unit 104 .

It is not necessary for the maintenance staff 13 or the administrator of the elevator 2 to add information indicating the presence or absence of recurrence to the failure history database. Thereby, the maintenance worker 13, the manager, etc. of the elevator 2 can use the maintenance operation support apparatus 1 more easily. The history memory unit 102 does not need to memorize information indicating the presence or absence of recurrence in advance. Thereby, the memory capacity required by the history memory unit 102 is reduced.

In addition, the maintenance operation support device 1 includes the classification unit 106 . The classification unit 106 classifies the failures retrieved by the retrieval unit 103 into groups of attributes of the elevator 2 corresponding to the occurrence of the failure. The calculation unit 107 calculates the recurrence rate for each treatment with respect to the failures classified into the groups corresponding to the attributes of the elevator 2 in which the failure indicated by the failure data occurred.

The calculation unit 107 calculates the recurrence rate in consideration of the attribute of the elevator 2 in which the failure occurred. Thereby, the priority setting unit 108 can set the priority of the treatment with higher accuracy.

In addition, when there is a non-accidental difference in the recurrence rate between failures occurring in elevators 2 with different attributes, the classification unit 106 classifies them into groups based on the above-mentioned attributes.

The classification unit 106 and the calculation unit 107 divide groups with non-accidental differences in recurrence rates, and calculate the recurrence rates. Thereby, the priority setting unit 108 can set the treatment priority with higher accuracy.

In addition, the failure data may be input from the external monitoring center of the building 3 regardless of the maintenance staff 13 . The failure data may be signal values of one or more sensors provided in the elevator 2 . The fault data can also be automatically input when the signal value indicating one or more sensors is within the range indicating the fault value.

The search unit 103 may perform a search for similar trouble data as the above-mentioned plural troubles are similar when the trouble conditions of the plural troubles are similar. At this time, the retrieval unit 103 calculates the degree of similarity between the failure conditions, for example, based on natural language processing.

The search unit 103 may search for similar failures based on a predetermined similarity determination table. Similarity judgment table, indicating whether a group of faults represented by a group of fault codes are similar.

The search unit 103 may search for similar troubles based on the code system of trouble codes. At this time, the code system of the fault code, for example, set the faults with close fault codes to be similar to each other.

The search unit 103 may search for similar troubles based on the difference in the signal values when the trouble data is one or more sensor signal values. The retrieval unit 103 calculates the difference of the signal values based on the Euclid distance.

The classification unit 106 may search for a numerical value that causes a non-accidental difference in the recurrence rate when it is classified into a subgroup based on an attribute represented by a numerical value. For example, the classification unit 106 changes the attribute value n to classify into subgroups of "n or less" or "n+1 or more", and searches for the value n that causes a non-accidental difference in the recurrence rate of the subgroups. A numeric attribute, such as years completed.

When a group including the combined data whose number is less than a predetermined threshold is obtained, the classification unit 106 does not need to perform classification. For example, when the number of pieces of combined data contained in the unsorted group extracted from the group list is less than the above-mentioned threshold, the sorting unit 106 returns the extracted group to the group list as the sorted group as it is. When classifying based on the selected attribute, if a subgroup of the combination data containing less than the above-mentioned threshold is obtained, the classification unit 106 does not need to classify the subgroup of the above-mentioned attribute. Here, the above-mentioned threshold value is predetermined as the lower limit of the number of combined data for calculating a reliable recurrence rate with respect to the classified group. In this way, when a group of 100 cases is divided into 95 cases and 5 cases according to the classification, since the number of 5 cases to be divided is small, it can prevent that the reliability of the recurrence probability cannot be ensured.

The terminal device 12 may display the treatment in different sizes or colors depending on the priority, so as to prompt the maintenance worker 13 for the treatment with high priority. The terminal device 12 may display the recurrence rate according to the treatment. The terminal device 12 may prompt the maintenance staff 13 for the treatment with the higher priority by not displaying the treatment with the lower priority.

The terminal device 12 may accept the input of treatment data from the maintenance staff after prompting the maintenance staff 13 for the treatment. At this time, the terminal device 12 adds the failure data and the action data to the failure database stored in the history storage unit 102 as failure history data.

Next, an example of the hardware configuration of the maintenance operation support device 1 will be described with reference to FIG. 10 . FIG. 10 is a hardware configuration diagram showing a main part of the maintenance operation support apparatus according to the first embodiment.

Each function of the maintenance operation support device 1 can be realized by a processing circuit. The processing circuit includes at least one processor 1b and at least one memory 1c. The processing circuit may include at least one dedicated hardware 1a along with the processor 1b and the memory 1c, or as a substitute for these.

When the processing circuit includes one processor 1b and at least one memory 1c, each function of the operation support device 1 is maintained, and is realized by software, firmware, or a combination of software and firmware. At least one of the software and the firmware is described as a program. Its program is stored in the memory 1c. The processor 1b realizes the maintenance of each function of the operation support device 1 by reading out the program stored in the memory 1c and executing it.

The processor 1b may also be referred to as a CPU (Central Processing Unit), a processing device, an arithmetic device, a microprocessor, a microcomputer, or a DSP (Digital Signal Processing). Memory 1c, such as non-volatile or volatile semiconductor memory, magnetic disk, floppy disk, optical disc, compact disc, mini-disk such as RAM, ROM, flash memory, EPROM, EEPROM, etc. CDs, DVDs (Digital Versatile Discs), etc.

When the processing circuit includes dedicated hardware 1a, the processing circuit is implemented, for example, as a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination of these.

Each function of the maintenance operation support apparatus 1 can be realized by a processing circuit, respectively. Alternatively, each function of the maintenance operation support device 1 may be implemented by a processing circuit. About each function of the maintenance operation support apparatus 1, a part may be implemented by the dedicated hardware 1a, and the other part may be implemented by software or firmware. In this way, the processing circuit realizes each function of the maintenance operation support device 1 by hardware 1a, software, firmware, or a combination of these.

Second Embodiment The second embodiment will be described in detail about points different from the examples disclosed in the first embodiment. Regarding the features described in the second embodiment, the features of any of the examples disclosed in the first embodiment may be employed.

According to the configuration of the maintenance operation support apparatus 1 according to the second embodiment. Fig. 11 is a diagram showing the configuration of a maintenance operation support apparatus according to the second embodiment.

The maintenance operation support device 1 includes a generation unit 110 and a recurrence rate storage unit 111 .

The generation unit 110 is configured to be able to collect generation failure data, for example, regarding the failure code and the failure condition. The generation unit 110 is connected to the retrieval unit 103 in order to provide the generated failure data.

The recurrence rate storage unit 111 is configured to be able to store a recurrence rate database. The recurrence rate database is a database that contains the recurrence rate data. The recurrence rate data includes data in which the calculation unit 107 calculates recurrence rate information for each treatment.

The retrieval unit 103 is connected to the generation unit 110 in order to obtain the failure data.

The calculation unit 107 is connected to the recurrence rate storage unit 111 in order to be able to access the recurrence database.

The priority setting unit 108 is connected to the input unit 101 so that the failure data can be acquired. The priority setting unit 108 is connected to the recurrence rate storage unit 111 so that the recurrence rate data can be acquired. The priority setting unit 108 is configured to be able to set the treatment priority according to the recurrence rate.

The output unit 109 is connected to the priority setting unit 108 so that the data indicating the set treatment priority can be acquired. The output unit 109 is connected to the terminal device 12 via the communication line 14 so as to be able to transmit data indicating the treatment and the priority set for the treatment.

Next, the recurrence rate data of the second embodiment will be described. Fig. 12 is a diagram showing an example of the recurrence rate database according to the second embodiment.

Recurrence rate data, as fault information, for example, contains fault codes and fault conditions. The recurrence rate data includes a first attribute, a first item, a second attribute, and a second item as attribute information for classification. The recurrence rate data, as treatment information, includes treatment codes and treatment contents. The recurrence rate data, as the recurrence rate information, includes the number of failures, the number of recurrences, and the recurrence rate.

The first attribute is an attribute for classifying the entire similar failure data table into groups. The first item is the value of the first attribute. The second attribute is an attribute for classifying the group classified by the first attribute to a lower-level group. The second item is the value of the second attribute. When the group classified by the first attribute is not classified to a lower-level group, the data of the second attribute and the second item are empty. Recurrence rate data, including attribute information for classifying groups classified according to the second attribute to lower-level groups.

The number of failures, the number of similar failure data retrieved for each treatment. The number of recurrences. In the searched similar failure data, it is determined whether there is a recurrence of "yes" similar failure data. The recurrence rate is the ratio of the number of recurrences to the number of failures.

Recurrence rate data, for example, are generated as follows. The generation unit 110 transmits the generated failure data to the retrieval unit 103 when, for example, the calculation load of the operation support apparatus 1 is kept low. The retrieval unit 103 obtains a similar failure data table corresponding to the failure data from the failure history database according to the retrieval. The determination unit 104 determines the presence or absence of recurrence for each of the plural similar failure data included in the similar failure data table. The classification unit 106 generates a combined data table according to the similar fault data table and the elevator attribute database. The classification unit 106, according to the combined data table, respectively classifies the plurality of similar failure data included in the similar failure data table into groups corresponding to the attributes of the elevator 2 . The calculation unit 107 calculates the recurrence rate for each treatment based on the presence or absence of recurrence values included in the similar failure data. The calculation unit 107 generates failure information, attribute information for classification, treatment information, and recurrence rate information as recurrence rate data.

The recurrence rate data are used, for example, as follows. The input unit 101 receives, for example, an input of failure data from the terminal device 12 by the maintenance worker 13 . The priority setting unit 108 acquires failure data from the input unit 101 . The priority setting unit 108 acquires recurrence rate data for each treatment for the failure indicated by the acquired failure data and for the attribute group of the elevator 2 corresponding to the occurrence of the failure. The priority setting unit 108 sets the priority for handling the failure indicated by the failure data based on the recurrence rate data.

As described above, the maintenance operation support device 1 according to the second embodiment includes the recurrence rate memory unit 111 . The recurrence rate memory unit 111 memorizes the recurrence rate calculated by the calculation unit 107 for each treatment. The priority setting unit 108 sets the priority for handling the failure indicated by the failure data, based on the recurrence rate memorized by the recurrence rate memory unit 111 .

The maintenance operation support device 1 can perform processing such as determination of the presence or absence of recurrence or classification before the input of the failure data. Therefore, the operation support device 1 is maintained, and the calculation load from the input of the failure data to the setting of the priority is reduced. Thereby, the operation support device 1 can be maintained, and the priority can be quickly set to the action after the failure data is input.

In addition, the generation unit 110 may transmit the failure data to the retrieval unit 103 at predetermined time intervals. That is, the recurrence rate database is updated at predetermined time intervals. Alternatively, the recurrence rate database may be updated when data is added to the history storage unit 102 .

third embodiment In the third embodiment, points different from the examples disclosed in the first embodiment or the second embodiment will be described in detail. Regarding the features not described in the third embodiment, the features of any of the examples disclosed in the first embodiment or the second embodiment may be employed.

Fig. 13 is a diagram showing an example of the recurrence rate calculated by the calculation unit of the third embodiment.

In Fig. 13, the horizontal axis represents the number of days elapsed since the troubleshooting for the failure. The vertical axis represents the recurrence rate for the above-mentioned failure after treatment. Treatment α and treatment β present different treatments for failures classified into the same group. In this example, the scheduled maintenance day of the elevator 2 in which the failure occurred is 20 days after the failure data indicating the above-mentioned failure is input. The recurrence rate after 20 days was higher with treatment α than with treatment β. The recurrence rate after 50 days was higher with treatment β than with treatment α.

The determination unit 104 determines the interval until the failure recurs as the recurrence presence or absence value. The determination unit 104 initializes the recurrence presence or absence value by setting the recurrence presence/absence value of all the similar failure data included in the similar failure data table to the integer value 0 indicating "none". When the failure occurrence time interval of a pair of similar failure data is d days, which is k days or less, the determination unit 104 determines whether or not there is a recurrence as the integer value d.

The calculation unit 107 calculates the recurrence rate per day after the failure. The recurrence rate per day after the failure is an example of the recurrence rate per elapsed time after the failure. The calculation unit 107 calculates, for each treatment of the group classified by the classification unit 106 , until d days after the above-mentioned treatment with respect to the number of failures for which the above-mentioned treatment is performed, calculates the ratio of the number of similar failures recurring as the percentage of the number of failures after d days has elapsed. Recurrence rate.

The priority setting unit 108 sets a high priority for the treatment with a low recurrence rate in the next maintenance day. That is, the priority setting unit 108 sets the priority of the treatment β with a low recurrence rate after 20 days to be higher than the treatment α.

As described above, the calculation unit 107 of the maintenance operation support apparatus 1 according to the third embodiment calculates the recurrence rate per elapsed time after the failure.

If the failure does not recur until the maintenance day, the maintenance worker 13 performs basic processing on the maintenance day, thereby suppressing the recurrence of the above-mentioned failure. The priority setting unit 108 may set a high priority for emergency measures in which the recurrence rate becomes high after a long period of time if the recurrence rate until the maintenance day is low. Therefore, the priority setting unit 108 can set an appropriate priority for the handling of the above-mentioned failure according to the interval until the maintenance day scheduled for the elevator 2 in which the failure occurred.

In addition, the calculation unit 107 may calculate the recurrence rate per three days after the failure, for example, as the recurrence rate per elapsed time after the failure.

The priority setting unit 108 may remotely set a high treatment priority regardless of the maintenance staff 13 when the recurrence rate on the next maintenance day is lower than a predetermined ratio. Remote processing is possible, for example, the processing of transmitting a control signal for maintenance to the elevator 2 .

The terminal device 12 notifies the maintenance staff 13 of the change in the recurrence rate for each treatment over the number of days, for example, by displaying it in a graph. [Industrial availability]

The maintenance operation support device according to the present invention can be applied to an elevator.

1‧‧‧Maintain operation support device 1a‧‧‧hardware 1b‧‧‧Processor 1c‧‧‧Memory 101‧‧‧Input 102‧‧‧Resume memory department 103‧‧‧Search Department 104‧‧‧Determination Department 105‧‧‧Attribute Memory 106‧‧‧Classification Department 107‧‧‧Calculation Department 108‧‧‧Priority Setting Section 109‧‧‧Output 110‧‧‧Production Department 111‧‧‧Recurrence Rate Memory Department 2‧‧‧Elevator 3‧‧‧Buildings 4‧‧‧Elevator Room 5‧‧‧Elevator location 6‧‧‧Ladder door leaf 7‧‧‧Cage 8‧‧‧Counterweight 9‧‧‧Hoist 10‧‧‧Main rope 11‧‧‧Cage Door 12‧‧‧Terminal device 13‧‧‧Maintenance 14‧‧‧Communication line

[Fig. 1] is a configuration diagram of a maintenance operation support device according to the first embodiment; [Fig. 2] is a diagram showing an example of the failure history database according to the first embodiment; [Fig. 3] is a diagram showing an example of the elevator attribute database according to the first embodiment; [Fig. 4] is a diagram showing an example of a similar failure data sheet according to the first embodiment; [Fig. 5] is a diagram showing an example of the combination data table according to the first embodiment; [Fig. 6] is a diagram showing an example of data processing in the maintenance operation support device according to the first embodiment; [Fig. 7] is a flowchart showing an example of the operation of the maintenance operation support device according to the first embodiment; [Fig. 8] is a flowchart showing an example of the operation of the determination unit according to the first embodiment; [Fig. 9] is a flowchart showing an example of the operation of the classification unit according to the first embodiment; [Fig. 10] is a hardware configuration diagram showing the main part of the maintenance operation support device according to the first embodiment; [Fig. 11] is a diagram showing the configuration of a maintenance operation support device according to the second embodiment; [Fig. 12] is a diagram showing an example of the recurrence rate database according to the second embodiment; and [Fig. 13] is a diagram showing an example of the recurrence rate calculated by the calculation unit of the third embodiment.

Claims (6)

An elevator maintenance operation support device, comprising: a history memory unit for storing failure information and handling information for the above-mentioned failure; a retrieval unit for retrieving a failure similar to the failure indicated by the input data from the above-mentioned history memory unit; For the failures retrieved by the retrieval unit, for each treatment of the failures, a recurrence rate indicating the proportion of failures similar to the failures described above within a predetermined period after the failures is calculated; For the above recurrence rate, set the priority of treatment for the failure indicated by the above data. The elevator maintenance operation support device according to claim 1, comprising: a determination unit for determining whether or not a malfunction similar to the above-mentioned malfunction has occurred within a predetermined period after the above-mentioned malfunction with respect to the malfunction searched by the above-mentioned search unit Recurrence; wherein, the calculation unit calculates the recurrence rate for each treatment based on the presence or absence of the recurrence determined by the determination unit. The elevator maintenance operation support device according to claim 1 or 2, comprising: a classification unit for classifying the failures retrieved by the retrieval unit into groups corresponding to the attributes of the elevators in which the failures occurred; and the calculation unit for The above-mentioned recurrence rate is calculated for each treatment by classifying them into groups corresponding to the attributes of the elevators in which the failure occurred indicated by the above-mentioned data. In the elevator maintenance operation support device according to claim 3, the classification unit classifies failures occurring in elevators with different attributes into the groups according to the attributes when there is a non-accidental difference in the recurrence rate between failures occurring in elevators with different attributes. The elevator maintenance operation support device according to claim 1 or 2, comprising: a recurrence rate memory unit that memorizes the recurrence rate calculated by the calculation unit for each treatment; wherein the priority setting unit is configured to be based on the recurrence The above-mentioned recurrence rate memorized by the rate memory unit is used to set the treatment priority for the failure indicated by the above-mentioned data. The elevator maintenance operation support device according to claim 1 or 2, wherein the calculation unit calculates the recurrence rate per elapsed time after the failure.

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