JP2024145635A - Apparatus, method, and program for maintaining equipment - Google Patents

Abstract

To provide a system, method, and program for maintaining a facility.SOLUTION: A system includes a database connection unit that accesses a database which stores plural sets of abnormality information on an abnormality occurring in a facility and a work result of coping with the abnormality, a report acquisition unit that acquires a report containing the abnormality information on the abnormality occurring in the facility, a work plan acquisition unit that acquires a work plan for coping with the abnormality in the report, a selection unit that selects at least one set from among the plural sets on the basis of a degree of similarity between the abnormality information in the report and abnormality information included in each of the plural sets stored in the database, a work plan evaluation unit that evaluates the work plan on the basis of a difference between the work plan and the work result in at least one set selected by the selection unit, and an evaluation result output unit that outputs information dependent on a result of evaluation performed by the work plan evaluation unit.SELECTED DRAWING: Figure 1

Description

The present invention relates to an apparatus, method, and program for maintaining equipment.

Patent Document 1 states that "the present invention relates to a maintenance work support system that supports maintenance work for a food manufacturing plant, and in particular to a maintenance work support system that can present appropriate recommended maintenance timing to plant users when performing maintenance on constituent equipment of the plant" (paragraph 0001), and that it is equipped with "an experiment result data confirmation means for determining whether or not the difference is within an acceptable range when there is a discrepancy between the operable period of the constituent equipment of the food manufacturing plant and the maintenance record, and a maintenance plan corrective action planning means for formulating corrective measures for the maintenance plan when the difference exceeds the acceptable range as a result of the judgment made by the experiment result data confirmation means" (claim 3).
[Prior Art Literature]
[Patent Documents]
Patent Document 1: JP 2010-128607 A

In a first aspect of the present invention, there is provided an apparatus including a database connection unit that accesses a database that stores a plurality of sets each including anomaly information about an anomaly that has occurred in equipment and work results for dealing with the anomaly, a report acquisition unit that acquires a report including anomaly information about an anomaly that has occurred in equipment, a work plan acquisition unit that acquires a work plan for dealing with the anomaly in the report, a selection unit that selects at least one set from the plurality of sets based on the similarity between the anomaly information in the report and the anomaly information included in each of the plurality of sets stored in the database, a work plan evaluation unit that evaluates the work plan based on the difference between the work plan and the work results of the at least one set selected by the selection unit, and an evaluation result output unit that outputs information according to the evaluation result evaluated by the work plan evaluation unit.

In the above device, the work plan acquisition unit may acquire multiple work plans for dealing with anomalies in the report, and the evaluation result output unit may output, as information according to the evaluation result, information on the evaluation order of the multiple work plans, or a recommended work plan from among the multiple work plans.

In the above device, the evaluation result output unit may output display data that causes the display device to display at least two or more of the multiple work plans in order of evaluation as information corresponding to the evaluation result.

In any of the above devices, the work plan evaluation unit may modify the work plan acquired by the work plan acquisition unit based on the difference, and the evaluation result output unit may output the modified work plan as information according to the evaluation result.

In any of the above devices, the work plan evaluation unit may evaluate whether the work plan satisfies a work plan constraint that addresses an anomaly in the report.

In any of the above devices, the selection unit may select at least one set including work results that satisfy the constraints of a work plan that addresses an anomaly in the report, or may select at least one set other than the set including work results that do not satisfy the constraints, based on the similarity.

In any of the above devices, a difference detection unit may be further provided that detects a difference between the work plan and at least one set of work performance selected by the selection unit, and the work plan evaluation unit may evaluate the work plan based on the difference detected by the difference detection unit.

In the above device, the selection unit may select two or more pairs from the multiple pairs based on the similarity, and the difference detection unit may acquire reference work results to be used in evaluating the work plan from the work results of the two or more pairs selected by the selection unit, and detect the difference between the reference work results and the work plan acquired by the work plan acquisition unit.

In any of the above devices, each of the multiple pairs may further include a performance evaluation of the work performance, and the selection unit may select at least one pair from the multiple pairs based on the similarity and the performance evaluation of the work performance.

In any of the above devices, the selection unit may select at least one pair based on the similarity between the anomaly information being reported and anomaly information stored in the database about the equipment in which the anomaly being reported occurred.

In any of the above devices, a similarity calculation unit may be further provided that calculates the similarity between the abnormality information being reported and the abnormality information included in each of the multiple sets stored in the database, and the selection unit may select at least one set from the multiple sets based on the similarity calculated by the similarity calculation unit.

In a second aspect of the present invention, a method is provided that includes a step in which a computer acquires a report including anomaly information regarding an anomaly that has occurred in the equipment, a step in which the computer acquires a work plan to deal with the anomaly that has occurred in the equipment, a step in which the computer accesses a database that stores a plurality of sets each including anomaly information regarding an anomaly that has occurred in the equipment and work results to deal with the anomaly, a step in which the computer selects at least one set from the plurality of sets based on the similarity between the anomaly information in the report and the anomaly information included in each of the plurality of sets stored in the database, a step in which the computer evaluates the work plan based on the difference between the work plan and the work results of the at least one set selected in the selection step, and a step in which the computer outputs information according to the evaluation result.

In a third aspect of the present invention, there is provided a program that is executed by a computer and causes the computer to function as a database connection unit that accesses a database that stores a plurality of sets each including anomaly information about an anomaly that has occurred in the equipment and work results that have been performed to address the anomaly, a report acquisition unit that acquires a report including anomaly information about an anomaly that has occurred in the equipment, a work plan acquisition unit that acquires a work plan to address the anomaly in the report, a selection unit that selects at least one set from the plurality of sets based on the similarity between the anomaly information in the report and the anomaly information included in each of the plurality of sets stored in the database, a work plan evaluation unit that evaluates the work plan based on the difference between the work plan and the work results of the at least one set selected by the selection unit, and an evaluation result output unit that outputs information according to the evaluation result evaluated by the work plan evaluation unit.

Note that the above summary of the invention does not list all of the necessary features of the present invention. Also, subcombinations of these features may also be inventions.

The configuration of an apparatus 100 according to this embodiment is shown together with equipment 10 and the like. 2 shows an example of a data structure of DB 130. 2 shows an operation flow of the device 100 according to the present embodiment. 1 shows a first display example of the device 100 according to the present embodiment. 11 shows a second display example by the device 100 according to the present embodiment. 11 shows a third display example by the device 100 according to the present embodiment. 22 illustrates an example computer 2200 in which aspects of the present invention may be embodied, in whole or in part.

The present invention will be described below through embodiments of the invention, but the following embodiments do not limit the invention according to the claims. Furthermore, not all of the combinations of features described in the embodiments are necessarily essential to the solution of the invention.

Figure 1 shows the configuration of the device 100 according to this embodiment together with equipment 10 and the like. The equipment 10 is installed in a plant or the like. Such a plant may be, for example, an industrial plant for chemicals or metals, a plant for managing and controlling wellheads and surrounding areas of gas fields or oil fields, a plant for managing and controlling hydroelectric, thermal, or nuclear power generation, a plant for managing and controlling environmental power generation such as solar or wind power, or a plant for managing and controlling water supply and sewage systems or dams. The equipment 10 may also be installed in buildings, various factories, transportation facilities, and the like. Such equipment 10 may have one or more process devices, one or more power generation devices, and one or more other devices, that is, one or more equipment devices 20-1 to N (also referred to as "equipment devices 20").

Each of the one or more facility devices 20 may have a field device. The field device may be, for example, a sensor device such as a pressure gauge, a flow meter, or a temperature sensor; a valve device such as a flow control valve or an on-off valve; an actuator device such as a fan or a motor; an imaging device such as a camera or video that captures the situation of a plant or an object such as the facility 10; an audio device such as a microphone or a speaker that collects abnormal sounds of the plant or the facility 10 or emits an alarm sound; a position detection device that outputs position information of a device owned by the facility 10; or other devices. Each of the one or more facility devices 20 may be provided with one or more sensors that function as a sensor device, an imaging device, an audio device, or the like that monitors the status of these devices.

One or more inspectors 30 inspect each piece of equipment 20 in the facility 10. If an abnormality occurs in the facility 10, the inspectors 30 provide a report of the abnormality that has occurred in the facility 10 to the device 100.

The manager 35 manages the maintenance of the equipment 10. When an abnormality occurs in the equipment 10, the manager 35 receives a report of the abnormality. The manager 35 creates a work plan to deal with the abnormality that has occurred in the equipment 10, and provides it to the device 100. The manager 35 determines constraints for the work to deal with the abnormality that has occurred in the equipment 10, and provides it to the device 100.

In response to receiving the report of the abnormality and the work plan, the device 100 evaluates the work plan using the work history of work performed in the past for similar abnormalities. The device 100 may be realized by a computer such as a PC (personal computer), a tablet computer, a smartphone, a workstation, a server computer, or a general-purpose computer, or may be realized by a computer system in which multiple computers are connected. Such a computer system is also a computer in the broad sense. The device 100 may be a dedicated computer designed for monitoring the facility 10, or may be dedicated hardware realized by a dedicated circuit.

The display device 105 is connected to the device 100 by wire or wirelessly. The display device 105 displays the evaluation results of the work plan output by the device 100 to the manager 35. The display device 105 may be a computer used by the manager 35, such as a PC (personal computer). Alternatively, the display device 110 may be a computer such as a tablet computer or smartphone that is portable by the manager 35. The display device 105 may be included in the same computer as the device 100 (e.g., a tablet computer or smartphone in a single housing). The device 100 acquires the work plan confirmed by the manager 35 according to the evaluation results displayed by the display device 105.

The display device 110 is connected to the device 100 by wire or wirelessly. The display device 110 displays the confirmed work plan output by the device 100. The display device 110 may be a computer used by the worker 40, such as a PC (personal computer). Alternatively, the display device 110 may be a computer such as a tablet computer or smartphone that is portable by the worker 40.

One or more workers 40 maintain the equipment 10 according to the work plan displayed on the display device 110. In this way, the workers 40 resolve the abnormalities reported by the inspectors 30. The workers 40 may evaluate the executed work plan and provide the performance evaluation to the device 100.

The device 100 according to this embodiment includes a report acquisition unit 120, a database 130 (DB130), a DB connection unit 140, a work performance output unit 150, a management data acquisition unit 160, an evaluation unit 170, an evaluation result output unit 180, a work plan display processing unit 190, and an addition unit 192.

The report acquisition unit 120 acquires reports of abnormalities that have occurred in the facility 10. The report acquisition unit 120 according to this embodiment receives reports input to a computer, such as a PC, tablet computer, or smartphone, used by the inspector 30, via wired or wireless communication. The report acquisition unit 120 may receive, as an abnormality report, a notification of an abnormality detected by a sensor provided in one or more facility devices 20 from a monitoring device or the like that monitors the facility 10.

DB130 is an external storage device of device 100, such as a semiconductor memory or a hard disk. Alternatively, DB130 may be a cloud storage or a NAS (Network Attached Storage) that is provided outside device 100 and connected to device 100 via a wired or wireless network. DB130 stores a plurality of sets including anomaly information about an anomaly that has occurred in equipment 10, work performance dealing with the anomaly, and performance evaluation corresponding to the work performance. DB130 may store sets of anomaly information, work performance, and performance evaluation for anomalies that have occurred in the past. In addition to or instead of sets of anomaly information and work performance, DB130 may store sets of anomaly information and work plans scheduled in the event of the anomaly occurring, for various anomalies that have been defined in advance as those that may occur in equipment 10.

The DB connection unit 140 is connected to the DB 130. The DB connection unit 140 accesses the DB 130 in response to requests from each component within the device 100.

The work performance output unit 150 is connected to the DB connection unit 140, the management data acquisition unit 160, and the evaluation unit 170. The work performance output unit 150 outputs the work performance for dealing with anomalies indicated as anomaly information in the report acquired by the report acquisition unit 120. In this embodiment, the work performance output unit 150 searches for and outputs the work performance for anomalies that are the same as or similar to the anomaly indicated in the report from the work performance for each anomaly stored in the DB 130.

The work performance output unit 150 has a similarity calculation unit 152 and a selection unit 154. The similarity calculation unit 152 accesses the DB 130 via the DB connection unit 140 and calculates the similarity between the anomaly information being reported and the anomaly information included in each of the multiple sets.

The selection unit 154 searches for and selects a set including work results for an anomaly that is the same as or similar to the anomaly indicated in the report. The selection unit 154 may select at least one set from the multiple sets based on the similarity between the anomaly information in the report and the anomaly information included in each of the multiple sets stored in the DB 130. The selection unit 154 may select at least one set based on the similarity between the current anomaly information in the report and the past anomaly information related to the equipment 10 in which the anomaly in the report occurred, stored in the DB 130. The selection unit 154 may select at least one set from the multiple sets stored in the DB 130 based on the similarity calculated by the similarity calculation unit 152. The selection unit 154 may preferentially select a set including anomaly information having a higher similarity calculated by the similarity calculation unit 152 among the anomaly information included in each of the multiple sets stored in the DB 130 as a set including work results dealing with the anomaly indicated in the report. This allows the selection unit 154 to select at least one work history that addressed an anomaly similar to the current anomaly.

The management data acquisition unit 160 is connected to the evaluation unit 170, the work plan display processing unit 190, and the addition unit 192. The management data acquisition unit 160 acquires management data related to the maintenance of the equipment 10. The management data acquisition unit 160 receives management data input by the administrator 35 to a computer such as a PC, tablet computer, or smartphone via wired or wireless communication. The management data may be data related to the maintenance of the equipment 10 set by the administrator.

The management data acquisition unit 160 has a work plan acquisition unit 162 and a constraint condition acquisition unit 164. The work plan acquisition unit 162 acquires a work plan for dealing with the current abnormality that occurred in the equipment 10 and whose report was acquired by the report acquisition unit 120. The constraint condition acquisition unit 164 acquires the constraint conditions of the work plan for dealing with the abnormality that occurred in the equipment 10. Here, the work plan and the constraint conditions may be included in the management data.

The evaluation unit 170 is connected to the evaluation result output unit 180. The evaluation unit 170 evaluates the work plan acquired by the work plan acquisition unit 162 based on the work performance of the group selected by the selection unit 154.

The evaluation unit 170 has a difference detection unit 172 and a work plan evaluation unit 174. The difference detection unit 172 detects the difference between the work plan and at least one set of work results selected by the selection unit 154. The difference detection unit 172 may detect the difference for one or more items included in the work plan and the work results. The difference detection unit 172 may acquire reference work results (hereinafter also simply referred to as work results) used to evaluate the work plan from the values of the work results of two or more sets selected by the selection unit 154, and detect the difference between the reference work results and the work plan acquired by the work plan acquisition unit 162.

The work plan evaluation unit 174 evaluates the current work plan acquired by the work plan acquisition unit 162 based on the difference detected by the difference detection unit 172. The work plan evaluation unit 174 may assign an evaluation value that numerically represents the evaluation of the work plan to be evaluated as the evaluation result. The work plan evaluation unit 174 may modify at least a part of the work plan acquired by the work plan acquisition unit 162 based on the difference.

The evaluation result output unit 180 outputs information according to the evaluation result evaluated by the work plan evaluation unit 174. The evaluation result output unit 180 may output information on the evaluation order of multiple work plans as information according to the evaluation result of the work plan evaluation unit 174. The evaluation result output unit 180 performs a display process to display the evaluation result of the work plan on the display device 105. Here, performing a process to display a screen is not limited to actually displaying a screen on the display device 100 of the device 100 itself, but also includes generating display data for displaying a screen on a remote display device 100 such as the display device 105.

The work plan display processing unit 190 receives the confirmed work plan from the work plan acquisition unit 162. The work plan display processing unit 190 performs display processing to display the received work plan on the display device 110. In response to this, the worker 40 can perform maintenance work or the like to deal with the current abnormality that has occurred in the equipment 10.

The adding unit 192 adds a set of anomaly information about the current anomaly that has occurred in the equipment 10 and the work plan used to deal with the anomaly as a set of anomaly information and work results to the DB 130 via the DB connection unit 140. As a result, the adding unit 192 registers the current anomaly information and work results in the DB 130, and the registered information such as the anomaly information and work results is used to perform processing such as evaluation of the work plan for reports related to anomalies from the next time onwards.

Figure 2 shows an example of the data structure of DB130. DB130 according to this embodiment includes, for each of a plurality of groups (records), an abnormal state ID, a registration date and time, abnormality information, information related to work performance, and an evaluation.

The abnormality state ID is abnormality identification information that identifies the abnormality indicated by the abnormality information in the record. Each time the report acquisition unit 120 receives a report of an abnormality that has occurred in the equipment 10, it assigns an abnormality state ID to the reported abnormality. The addition unit 192 associates the abnormality state ID assigned to the abnormality indicated by the abnormality information with the abnormality information, work performance, and performance evaluation, and adds them to the DB 130. The registration date and time indicates the date and time when the record was registered in the DB 130.

The abnormality information indicates details of the abnormality indicated in the report. The abnormality information includes equipment information that identifies the equipment 20 in which the abnormality occurred and the details of the abnormality. The equipment information includes information about one or more items related to the equipment 20 in which the abnormality occurred, such as at least one of the product name, product identification information, type (e.g., pump, reactor, power source), specifications, installation location, or installation status.

The abnormality details indicate the details of the abnormality that occurred in the facility equipment 20 indicated in the equipment information. The abnormality details may include information indicating the occurrence or non-occurrence of each abnormality item, such as at least one of leakage, abnormal vibration, abnormal noise, or fire (e.g., check by the inspector 30). The abnormality details may also include information specifying the type of abnormality or a specialized department or team that should handle the abnormality. The abnormality details may also include information indicating the priority of measures to be taken against the abnormality. The abnormality details may also include a detailed textual description of the abnormality entered by the inspector 30.

The work record is information (also referred to as "work record") about the work record for dealing with the abnormality indicated in the anomaly information. DB130 may store the work record, including the maintenance work and the maintenance preparation work performed before the maintenance work, for each of multiple groups.

The information on the maintenance preparation work may include information indicating the necessity of each preparation item, such as at least one of the following: the necessity of various tools, the necessity of wearing safety equipment, the necessity of assembling scaffolding, or the necessity of filing a notification. The information on the maintenance preparation work may also include numerical information on the maintenance preparation work, such as at least one of the number of workers required for the maintenance preparation work, the work time, or the cost. The information on the maintenance work may include information indicating the necessity of each work item, such as the necessity of various maintenance work processes (such as stopping the line, repair, replacement, cleaning, adjustment, etc.). The maintenance work information may also include numerical information on the maintenance work, such as at least one of the number of workers required for the maintenance work, the required skills of the workers, the work time, or the cost.

The performance evaluation is an evaluation of the work performance. The performance evaluation may be an evaluation of at least one of the cost of the work, the work time, the closeness of the actual result to the forecast, and the period of normal operation after the work. The performance evaluation may include a performance evaluation value that numerically represents an evaluation of the past work performance. The performance evaluation may be set for each item of the work performance or for each abnormal condition ID. The performance evaluation may be represented by a flag (for example, a value of 0 or 1) that indicates whether the equipment 10 has returned to normal for each abnormal condition ID.

Figure 3 shows the operation flow of the device 100 according to this embodiment. The device 100 executes the operation flow shown in Figure 3 every time it receives a report of an abnormality. In S300 (step 300), the report acquisition unit 120 acquires a report of an abnormality that has occurred in the equipment 10. In S305, the management data acquisition unit 160 acquires multiple work plans and constraint conditions created by the administrator 35 to deal with the current abnormality.

In S310, the similarity calculation unit 152 calculates the similarity between the anomaly information in the report acquired by the report acquisition unit 120 and the anomaly information included in each of the multiple sets stored in the DB 130. In this embodiment, the similarity calculation unit 152 assigns a higher similarity score when the value of each item of the anomaly information (device information and anomaly content) in the report matches (or is included in) the value of the corresponding item in the anomaly information to be compared, compared to when there is no match. The similarity calculation unit 152 then sums up the similarity scores for each item, for example by calculating the sum of the similarity scores.

When the anomaly information includes anomaly content described in text, the similarity calculation unit 152 may calculate the similarity of the anomaly information between the anomaly information being reported and each of the anomaly information included in the plurality of pairs based on the similarity of the device information and the similarity of the text recorded as the anomaly content. For example, for an item entered in text such as a detailed description of the anomaly, the similarity calculation unit 152 may convert the text into a feature vector using whether each of a plurality of words (e.g., a predefined registered word) appears in the text, or the frequency of appearance of each of the plurality of words, and calculate the similarity between the feature vectors (e.g., the inner product between unit vectors). Here, the similarity calculation unit 152 may calculate the similarity between the text included in the anomaly information being reported and the text included in the anomaly information to be compared, using a feature vector including the TF-IDF for each of the plurality of words. The similarity calculation unit 152 may calculate the similarity between the anomaly information being reported and the anomaly information stored in the DB 130 by summing up the similarity of the part other than the text in the anomaly information and the similarity of the text part by adding or taking the sum of squares, etc.

In S315, the selection unit 154 selects at least one work record that has dealt with the abnormality indicated in the report, based on the similarity calculated by the similarity calculation unit 152. The selection unit 154 according to this embodiment preferentially selects work records associated with anomaly information having a higher similarity to the anomaly information in the report. The selection unit 154 may select k work records associated with a predetermined k number of anomaly information (k is an integer of 1 or 2 or more) selected in descending order of similarity calculated by the similarity calculation unit 152 from each set stored in the DB 130 (k is an integer of 1 or 2 or more) (k-nearest neighbor method).

Here, "select with higher priority" means that, when other conditions are the same, the necessary number of work records are selected in descending order of priority, but when other conditions are different, it is possible that a work record with a lower priority is selected instead of a work record with a higher priority. For example, when probability is incorporated into the selection of work records, the selection unit 154 may select a work record with a higher probability the higher the similarity calculated by the similarity calculation unit 152.

The selection unit 154 may select at least one group from among the multiple groups stored in the DB 130 based on the similarity to the abnormality information being reported and the performance evaluation of the work performance stored in the DB 130. The selection unit 154 may select, with higher priority, from among the groups in which the work has been evaluated as having brought the equipment 10 back to normal, a work performance associated with an abnormality information having a higher similarity to the abnormality information being reported. The selection unit 154 may select, with higher priority, from among the groups whose performance evaluation value is equal to or greater than a predetermined threshold, a work performance associated with an abnormality information having a higher similarity to the abnormality information being reported.

The selection unit 154 may select at least one set including work results that satisfy the constraint conditions acquired by the constraint condition acquisition unit 164 based on the similarity to the abnormality information being reported. The selection unit 154 may select, with a higher priority, work results associated with abnormality information having a higher similarity to the abnormality information being reported from among multiple sets other than the sets including work results that do not satisfy the constraint conditions. For example, under the constraint condition of a budget of 50,000 yen or less, the selection unit 154 may exclude work results with a budget of more than 50,000 yen from the selection targets. Furthermore, when it is specified that at least one constraint condition is to be prioritized, the selection unit 154 may multiply the similarity of the prioritized item in the work results by a weighted value that is larger than that of the other items, and select the work results using the multiplied similarity.

In S320, the difference detection unit 172 acquires reference work performance values to be used in evaluating the work plan from the values of two or more sets of work performance values selected by the selection unit 154. For an item indicating a numerical value such as the number of workers, the difference detection unit 172 may acquire the reference work performance value based on the distribution of the values of that item in the multiple work performances. For example, the difference detection unit 172 may acquire the median, average, or range between upper and lower limits of the values of the item in the multiple work performances as the reference work performance. In addition, the difference detection unit 172 may calculate a weighted average value using a weight according to the similarity of the corresponding work performances for the values of each item in the multiple work performances as the reference work performance. The difference detection unit 172 may acquire the reference work performance for an item expressed in a numerical value by any other predetermined method.

For an item indicating the necessity of a specific preparation or process in two or more sets of work results selected by the selection unit 154, if that item is recorded as necessary (or not necessary) in work results exceeding a predetermined standard rate (e.g., 90%) of the work results selected by the selection unit 154, the difference detection unit 172 may only treat the item as necessary (or not necessary) in the reference work results. Note that if the selection unit 154 selects only one set of work results in S315, the difference detection unit 172 may proceed to the next step S325 without performing S320.

In S325, the difference detection unit 172 may detect, as a difference, whether or not there is a mismatch between each item included in the work plan acquired by the work plan acquisition unit 162 and each item included in the reference work results. For example, the difference detection unit 172 may determine that there is a mismatch between the items when the reference work results include an item for "number of workers" but the work plan to be evaluated does not include an item for "number of workers" (e.g., the number of workers has not been entered). In addition, for example, the difference detection unit 172 may determine that there is a mismatch between the items when the work plan to be evaluated includes an item indicating that a certain tool needs to be prepared but the reference work results do not include an item indicating whether the tool is needed.

For items expressed as numbers, such as the number of workers or working hours, the difference detection unit 172 may detect the difference between numerical values. The difference detection unit 172 may detect the difference by subtracting the value of that item in the work plan from the value of that item in the reference work performance to calculate the difference. When an item in the reference work performance is expressed as a range having a minimum and maximum value, the difference detection unit 172 may calculate the minimum and maximum differences by subtracting the value of that item in the work plan from the minimum and maximum values of that item in the reference work performance, respectively.

For items represented by flags that take values such as 1 (required) or 0 (not required), such as the necessity of a process, if the value of that item in the work plan is "required" and the value of that item in the reference work results is "not required," the difference detection unit 172 may detect a "-process" or the like indicating that the process does not exist in the reference work results as the difference. Also, if the value of that item in the work plan is "not required" and the value of that item in the reference work results is "required," the difference detection unit 172 may detect a "+process" or the like indicating that the process does exist in the reference work results as the difference.

In S325, the difference detection unit 172 may detect the difference from the work plan not between the work plan and the reference work results, but between the work plan and at least one set of work results selected by the selection unit 154 (i.e., the work results stored in DB 130). In this case, the difference detection unit 172 may detect the difference between the work plan and at least one set of work results selected by the selection unit 154 in a manner similar to the difference detection using the reference work results.

In S330, the work plan evaluation unit 174 evaluates the work plan acquired by the work plan acquisition unit 162 using the difference detected in S325. The work plan evaluation unit 174 may assign a higher evaluation to the work plan to be evaluated the smaller the difference detected by the difference detection unit 172 (e.g., the smaller the difference in + or - processes). As an example, the work plan evaluation unit 174 may assign a different evaluation value (e.g., a negative value) to each process for + or - processes. The work plan evaluation unit 174 may evaluate each item in the work plan and combine the evaluations of multiple items (e.g., calculate a total value, calculate a median value, calculate an average value, or calculate a weighted average value) to evaluate the work plan. In this case, the work plan evaluation unit 174 may use the total of the evaluation values assigned to the + or - processes (for example, if a process with an evaluation value of -10 and a process with an evaluation value of -20 are - processes and there are three + processes with an evaluation value of -10, the total value is -60) (by adding it to the total of the evaluation values, etc.) as the evaluation of the work plan. The work plan evaluation unit 174 may assign an evaluation value that expresses the evaluation numerically to each item in the work plan. The work plan evaluation unit 174 may assign a higher evaluation to the larger the evaluation value.

When the work plan acquisition unit 162 acquires multiple work plans, the work plan evaluation unit 174 may evaluate each of the multiple work plans and determine the evaluation order. The work plan evaluation unit 174 may determine the work plan with the highest evaluation among the multiple work plans as the recommended work plan. The work plan evaluation unit 174 may give a higher evaluation to a work plan with a larger number of items whose detected differences are equal to or less than a predetermined threshold. When an item has a difference of "+ process" (or "- process"), the work plan evaluation unit 174 may subtract the evaluation amount of that item from the corresponding work plan. For example, when the number of items whose differences are equal to or less than a predetermined threshold and two items have a difference of "- process" for the work plan to be evaluated is five, the work plan evaluation unit 174 may assign an evaluation value of 5 x 10 points - 2 x 20 points = 10 points.

The work plan evaluation unit 174 may evaluate whether the work plan acquired by the work plan acquisition unit 162 satisfies the constraint condition acquired by the constraint condition acquisition unit 164. For example, if the constraint condition is a condition that specifies a numerical range of an item, the work plan evaluation unit 174 may subtract the evaluation value of the item for a work plan in which the value of the item is outside the range of the constraint condition. In this case, the work plan evaluation unit 174 may subtract the evaluation value according to the degree to which the value of the item is outside the range of the constraint condition (as an example, the evaluation value is subtracted more the more the value of the item is outside the range of the constraint condition). In addition, if the constraint condition is a condition that prioritizes at least one item (e.g., cost), the work plan evaluation unit 174 may multiply the evaluation value of the item by a weighting value larger than that of other items (e.g., a weighting value twice that of other items), or may evaluate only that item.

The work plan evaluation unit 174 may also modify the work plan acquired by the work plan acquisition unit 162. The work plan evaluation unit 174 may modify the value of an item in the work plan whose difference is equal to or greater than a predetermined threshold so that it becomes the value of that item in the work history (or reference work history) selected by the selection unit 154. If the number of items whose difference is equal to or greater than a predetermined threshold is equal to or greater than the threshold, the work plan evaluation unit 174 may modify all items in the work plan to be the same as the items in the work history. The work plan evaluation unit 174 may also modify items that have a difference of "+ process" so that the item is added to the work plan.

In S335, the evaluation result output unit 180 outputs the evaluation result evaluated by the work plan evaluation unit 174. The evaluation result output unit 180 may output display data, as information corresponding to the evaluation result, to the display device 105, which causes at least two or more of the multiple work plans to be displayed in order of evaluation (for example, a ranking based on the evaluation value). As an example of displaying in order of evaluation, the evaluation result output unit 180 may cause the display device 105 to display the multiple work plans in order of the largest (or smallest) evaluation value assigned by the work plan evaluation unit 174. The evaluation result output unit 180 may cause the display device 105 to display a part of the multiple work plans (for example, the top three work plans in order of the largest evaluation value). In addition, the evaluation result output unit 180 may output display data to the display device 105, which causes the content or identification information of each work plan to be displayed in a manner in which it is emphasized (for example, enlarged) according to the level of the evaluation value.

The evaluation result output unit 180 may also output display data for displaying at least one recommended work plan among the multiple work plans on the display device 105 as information corresponding to the evaluation result. For example, the evaluation result output unit 180 may cause only the work plan with the highest evaluation value assigned by the work plan evaluation unit 174 to be displayed on the display device 105. For example, the evaluation result output unit 180 may also cause the display device 105 to display the work plan with the highest evaluation value assigned by the work plan evaluation unit 174 so as to be highlighted compared to the other work plans. Such highlighting may include displaying the highlighted work plan by at least one of making it bold or italic, changing the color (e.g., red), making the text larger, or adding an underline or a frame.

The evaluation result output unit 180 may output display data to the display device 105 to display the work plan revised by the work plan evaluation unit 174 as information according to the evaluation result. The evaluation result output unit 180 may display the revised work plan together with the work plan before revision. The evaluation result output unit 180 may display on the display device 105 the revised items in the revised work plan so as to be highlighted in comparison with other items.

The manager 35 considers the evaluation results displayed on the display device 105, determines the work plan to be executed, and instructs the work plan acquisition unit 162 to execute the determined work plan. The work plan acquisition unit 162 outputs the determined work plan to the work plan display processing unit 190, which performs display processing to display the work plan on the display device 110. In response to this, the worker 40 can perform the maintenance work specified by the work plan. The manager 35 instructs the work plan acquisition unit 162 to modify the work plan as necessary, and the work plan acquisition unit 162 outputs the modified work plan to the evaluation unit 170, and the device 100 may return to step S325 to evaluate the modified work plan.

The evaluation result output unit 180 may output the evaluation order by voice using a microphone or the like in association with the contents of each work plan or the identification information of each work plan, and may also output data indicating the evaluation order in association with the contents of each work plan or the identification information of each work plan (for example, by recording it on a recording medium such as DB 130 or transmitting it to an external device).

In S340, the adding unit 192 adds a set of anomaly information about the current anomaly that has occurred in the equipment 10 and the work plan used to deal with the anomaly to the DB 130 via the DB connection unit 140 as a set of anomaly information and work performance. If the work plan is modified while the worker 40 is working, the adding unit 192 may receive the modified work plan from the work plan acquisition unit 162 and add it to the DB 130. After performing the work, the worker 40 may provide the device 100 with a performance evaluation of the executed work plan, and in this case, the adding unit 192 may add the performance evaluation to the DB 130 in association with the set of anomaly information and work performance.

The device 100 described above can detect the difference between a work plan drawn up in response to a report of an abnormality in the equipment 10 and past work records for dealing with the same or similar abnormality, and can present an evaluation of the work plan using the difference to the manager 35. Therefore, when multiple work plan candidates are prepared, the device 100 can determine the most appropriate work plan. This allows the device 100 to recover the equipment 10 from an abnormal state more quickly and efficiently, thereby improving the productivity of the equipment 10.

The device 100 may be used as a maintenance management/maintenance activity proposal system integrated with a CMMS (Computerized Maintenance Management System). The CMMS may have functions such as a management data acquisition unit 160, a work plan acquisition unit 162, and a work plan display processing unit 190.

Figure 4 shows a first display example by the device 100 according to this embodiment. The evaluation result output unit 180 in the device 100 may perform a display process to display a work plan input screen 400 on the entire screen or in a window of the display device 105 in response to the reported abnormality. The work plan input screen 400 has an abnormality display field 410, a work plan input field 420, and a constraint condition input field 430.

In S305 of FIG. 3, the evaluation result output unit 180 performs a display process to display anomalies contained in the report acquired by the report acquisition unit 120 in an anomaly display field 410 in order to prompt the manager 35 to input a work plan and constraint conditions. The anomaly display field 410 includes a display of the date on which the anomaly occurred, the anomaly condition ID, and information on the anomaly condition (equipment information and anomaly content).

The evaluation result output unit 180 also performs a display process to display a work plan input field 420 for inputting a work plan. The work plan input field 420 accepts input of a work plan including a maintenance preparation work plan and a maintenance work plan from the manager 35.

In the example of this figure, three work plans are input in the work plan input field 420. Work plan 1 is input in the work plan input field 420, including that work c1 is required, the number of workers is n1, the work time is t1, work tool d1 is required, and work budget y1 is required. Work plan 2 is input in the work plan input field 420, including that work c2 is required, the number of workers is n2, the work time is t2, work tool d2 is required, and work budget y2 is required. Work plan 3 is input in the work plan input field 420, including that work c3 is required, the number of workers is n3, the work time is t3, work tool d3 is required, and work budget y3 is required. In response to these, the work plan acquisition unit 162 acquires the work plans input in the work plan input field 420.

The evaluation result output unit 180 also performs display processing to display a constraint condition input field 430 for inputting constraint conditions. The constraint condition input field 430 accepts input of constraint conditions for maintenance work from the manager 35. In the example shown in the figure, the constraint condition input field 430 represents items that are weighted more heavily than other items when evaluating a work plan, and displays three constraint conditions: cost, number of employees, and work time. The manager 35 selects at least one of these constraint conditions, and the constraint condition acquisition unit 164 acquires the selected constraint condition.

When the management data acquisition unit 160 detects that the "Evaluate" button on the work plan input screen 400 has been pressed, the device 100 proceeds to S310 in FIG. 3, evaluates the work plan (S310 to S330 in FIG. 3) and outputs the evaluation results (S335 in FIG. 3).

Figure 5 shows a second display example by the device 100 according to this embodiment. The evaluation result output unit 180 in the device 100 updates the display to the evaluation result display screen 500 in response to the "Evaluate" button being pressed on the work plan input screen 400 in Figure 4 to evaluate the work plan. The evaluation result display screen 500 in this figure has an anomaly display field 410, an evaluation result field 510, and a constraint condition input field 430.

The anomaly display field 410 and the constraint condition input field 430 are the same as those in FIG. 4, so a description thereof will be omitted. However, in the constraint condition input field 430, the selected constraint condition "cost" is highlighted more than the other constraint conditions.

The evaluation result column 510 rearranges the work plans in the work plan input column 420 of FIG. 4 in order of evaluation, and adds and displays recommended ranking information indicating the evaluation order. The evaluation result column 510 highlights the work plan 3 selected by the manager 35 after the display in comparison with other work plans. When the management data acquisition unit 160 detects that the "Confirm" button has been pressed after a selection in the evaluation result column 510, the device 100 performs a display process to display the confirmed work plan to the worker 40.

When the "Cancel" button is pressed, the evaluation result display screen 500 returns to the work plan input screen 400 in FIG. 4, and the manager 35 can modify the work plan, change the constraints, etc. on the work plan input screen 400.

In the examples of Figures 4 and 5, the evaluation result output unit 180 generates a display screen that displays the anomaly display field 410, the work plan input field 420 (evaluation result field 510), and the constraint condition input field 430 in the same window. Alternatively, the evaluation result output unit 180 may display these fields in separate windows.

Figure 6 shows a third display example by the device 100 according to this embodiment. The evaluation result output unit 180 in the device 100 updates the display to the evaluation result display screen 600 in response to the "Evaluate" button being pressed on the work plan input screen 400 in Figure 4 to evaluate the work plan. The evaluation result display screen 600 in this figure has a table 610 showing the contents of each item for the work plan acquired by the work plan acquisition unit 162, the work performance selected by the selection unit 154, the constraint conditions acquired by the constraint condition acquisition unit 164, and the work plan modified by the work plan evaluation unit 174.

The items in table 610 represent the number of workers, budget, work time, tools, and work content of the work plan. The work plan acquired by the work plan acquisition unit 162 includes that the number of workers is three, that a budget of 50,000 yen is required, the work time is four days, that the tools are basic tools, and that the work content is that a part needs to be repaired. The work results include that the number of workers was four, that the budget was 50,000 yen, that the work time was three days, that the tools were basic tools, a tester, and gloves, and that the work content was that a part needed to be replaced. The constraints include that the number of workers is five or less, that the budget is 100,000 yen or less, that the work time is one week or less, that there are no constraints on the tools, and that there are no constraints on the work content. The revised work plan includes that the number of workers is four, that a budget of 50,000 yen is required, that the work time is three days, that the tools are basic tools, a tester, and gloves, and that the work content is that a part needs to be replaced.

The evaluation result display screen 600 in FIG. 6 shows that the work plan evaluation unit 174 has revised the number of workers, work time, tools, and work content to be the same as the work performance. In the column for the revised work plan in table 610 on the evaluation result display screen 600, the revised parts are underlined to highlight them compared to other parts. When the management data acquisition unit 160 detects that the "Confirm" button on the evaluation result display screen 600 has been pressed, the device 100 performs a display process to display the revised work plan to the worker 40.

The threshold value used in the device 100 may be input in advance by a user such as an administrator. In addition to outputting the display data, the evaluation result output unit 180 may output control data to the equipment 10 to control the equipment 10 for maintenance work (e.g., stopping the line, etc.).

In addition, in this embodiment, DB130 is not limited to storing past abnormality information of the equipment 10 managed by the device 100, and may store multiple sets including abnormality information about abnormalities that occurred in equipment other than the equipment 10 and work results to deal with the abnormality. In this case, the device 100 may evaluate the work plan in the same way as in the above embodiment using sets of abnormality information, work results, and performance evaluations for equipment in DB130 that is at least partially common to the equipment 10 from which the abnormality report was obtained (for example, equipment that has at least one of the equipment devices 20 of the equipment 10, the same type of equipment device, equipment device with the same model number from the same manufacturer, or equipment device purchased at the same time).

The selection unit 154 may not select a pair based on the similarity calculated by the similarity calculation unit 152, and may select at least one pair having anomaly information that is the same as or similar to the anomaly information being reported from among the multiple pairs stored in the DB 130. For example, the selection unit 154 may select, from among the multiple pairs stored in the DB 130, a pair having the same anomaly as the anomaly information being reported, or a pair in which at least one of the equipment devices in which the anomaly being reported has occurred is the same type of equipment device, equipment device with the same model number from the same manufacturer, or equipment device purchased at the same time, as a pair having the same or similar anomaly information.

In addition, DB130 may be stored in a storage medium within device 100, and the data group may be stored in a storage medium within device 100 such as a memory used to implement work plan evaluation unit 174 (e.g., the same storage device as one piece of hardware used to implement work plan evaluation unit 174).

In addition, in step S315, the selection unit 154 may output data indicating a group including work results that do not satisfy the constraint conditions, among groups including work results for an anomaly that is the same as or similar to the anomaly indicated in the report, to the evaluation unit 170, together with data indicating at least one selected group. The evaluation unit 170 may use the group including work results that do not satisfy the constraint conditions to evaluate the work plan. For example, the evaluation unit 170 may reduce the evaluation value (subtract a larger value from the evaluation value) the smaller the difference between the work plan and the group including work results that do not satisfy the constraint conditions. In this case, the evaluation unit 170 may increase the negative value for the evaluation value the greater the degree to which the group including work results that do not satisfy the constraint conditions deviates from the constraint conditions.

Various embodiments of the present invention may also be described with reference to flow charts and block diagrams, where the blocks may represent (1) stages of a process in which operations are performed or (2) sections of an apparatus responsible for performing the operations. Particular stages and sections may be implemented by dedicated circuitry, programmable circuitry provided with computer readable instructions stored on a computer readable medium, and/or a processor provided with computer readable instructions stored on a computer readable medium. Dedicated circuitry may include digital and/or analog hardware circuitry and may include integrated circuits (ICs) and/or discrete circuits. Programmable circuitry may include reconfigurable hardware circuitry including logical AND, logical OR, logical XOR, logical NAND, logical NOR, and other logical operations, memory elements such as flip-flops, registers, field programmable gate arrays (FPGAs), programmable logic arrays (PLAs), and the like.

A computer-readable medium may include any tangible device capable of storing instructions that are executed by a suitable device, such that the computer-readable medium having instructions stored thereon comprises an article of manufacture that includes instructions that can be executed to create means for performing the operations specified in the flowchart or block diagram. Examples of computer-readable media may include electronic storage media, magnetic storage media, optical storage media, electromagnetic storage media, semiconductor storage media, and the like. More specific examples of computer-readable media may include floppy disks, diskettes, hard disks, random access memories (RAMs), read-only memories (ROMs), erasable programmable read-only memories (EPROMs or flash memories), electrically erasable programmable read-only memories (EEPROMs), static random access memories (SRAMs), compact disk read-only memories (CD-ROMs), digital versatile disks (DVDs), Blu-ray (RTM) disks, memory sticks, integrated circuit cards, and the like.

The computer readable instructions may include either assembler instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including object-oriented programming languages such as Smalltalk®, JAVA®, C++, etc., and conventional procedural programming languages such as the "C" programming language or similar programming languages.

The computer-readable instructions may be provided to a processor or programmable circuit of a general-purpose computer, special-purpose computer, or other programmable processing device, either locally or over a wide area network (WAN) such as a local area network (LAN), the Internet, etc., to execute the computer-readable instructions to create means for performing the operations specified in the flowcharts or block diagrams. Examples of processors include computer processors, processing units, microprocessors, digital signal processors, controllers, microcontrollers, etc.

7 shows an example of a computer 2200 in which aspects of the present invention may be embodied in whole or in part. A program installed on the computer 2200 may cause the computer 2200 to function as or perform operations associated with an apparatus or one or more sections of the apparatus according to an embodiment of the present invention, and/or to perform a process or steps of the process according to an embodiment of the present invention. Such a program may be executed by the CPU 2212 to cause the computer 2200 to perform certain operations associated with some or all of the blocks of the flowcharts and block diagrams described herein.

The computer 2200 according to this embodiment includes a CPU 2212, a RAM 2214, a graphics controller 2216, and a display device 2218, which are interconnected by a host controller 2210. The computer 2200 also includes input/output units such as a communication interface 2222, a hard disk drive 2224, a DVD-ROM drive 2226, and an IC card drive, which are connected to the host controller 2210 via an input/output controller 2220. The computer also includes legacy input/output units such as a ROM 2230 and a keyboard 2242, which are connected to the input/output controller 2220 via an input/output chip 2240.

The CPU 2212 operates according to the programs stored in the ROM 2230 and the RAM 2214, thereby controlling each unit. The graphics controller 2216 retrieves image data generated by the CPU 2212 into a frame buffer or the like provided in the RAM 2214 or into itself, and causes the image data to be displayed on the display device 2218.

The communication interface 2222 communicates with other electronic devices via a network. The hard disk drive 2224 stores programs and data used by the CPU 2212 in the computer 2200. The DVD-ROM drive 2226 reads programs or data from the DVD-ROM 2201 and provides the programs or data to the hard disk drive 2224 via the RAM 2214. The IC card drive reads programs and data from an IC card and/or writes programs and data to an IC card.

ROM 2230 stores therein a boot program, etc., executed by computer 2200 upon activation, and/or a program that depends on the hardware of computer 2200. I/O chip 2240 may also connect various I/O units to I/O controller 2220 via a parallel port, a serial port, a keyboard port, a mouse port, etc.

The programs are provided by a computer-readable medium such as a DVD-ROM 2201 or an IC card. The programs are read from the computer-readable medium, installed in the hard disk drive 2224, RAM 2214, or ROM 2230, which are also examples of computer-readable media, and executed by the CPU 2212. The information processing described in these programs is read by the computer 2200, and brings about cooperation between the programs and the various types of hardware resources described above. An apparatus or method may be constructed by realizing the manipulation or processing of information according to the use of the computer 2200.

For example, when communication is performed between computer 2200 and an external device, CPU 2212 may execute a communication program loaded into RAM 2214 and instruct communication interface 2222 to perform communication processing based on the processing described in the communication program. Under the control of CPU 2212, communication interface 2222 reads transmission data stored in a transmission buffer processing area provided in RAM 2214, hard disk drive 2224, DVD-ROM 2201, or a recording medium such as an IC card, and transmits the read transmission data to the network, or writes reception data received from the network to a reception buffer processing area or the like provided on the recording medium.

The CPU 2212 may also cause all or a necessary portion of a file or database stored on an external recording medium such as the hard disk drive 2224, the DVD-ROM drive 2226 (DVD-ROM 2201), an IC card, etc. to be read into the RAM 2214, and perform various types of processing on the data on the RAM 2214. The CPU 2212 then writes back the processed data to the external recording medium.

Various types of information, such as various types of programs, data, tables, and databases, may be stored in the recording medium and undergo information processing. CPU 2212 may perform various types of processing on data read from RAM 2214, including various types of operations, information processing, conditional judgment, conditional branching, unconditional branching, information search/replacement, etc., as described throughout this disclosure and specified by the instruction sequence of the program, and write back the results to RAM 2214. CPU 2212 may also search for information in a file, database, etc. in the recording medium. For example, if multiple entries each having an attribute value of a first attribute associated with an attribute value of a second attribute are stored in the recording medium, CPU 2212 may search for an entry that matches a condition in which an attribute value of the first attribute is specified from among the multiple entries, read the attribute value of the second attribute stored in the entry, and thereby obtain the attribute value of the second attribute associated with the first attribute that satisfies a predetermined condition.

The above-described program or software module may be stored on a computer-readable medium on the computer 2200 or in the vicinity of the computer 2200. In addition, a recording medium such as a hard disk or RAM provided in a server system connected to a dedicated communication network or the Internet can be used as a computer-readable medium, thereby providing the program to the computer 2200 via the network.

The present invention has been described above using an embodiment, but the technical scope of the present invention is not limited to the scope described in the above embodiment. It is clear to those skilled in the art that various modifications and improvements can be made to the above embodiment. It is clear from the claims that forms with such modifications or improvements can also be included in the technical scope of the present invention.

The order of execution of each process, such as operations, procedures, steps, and stages, in the devices, systems, programs, and methods shown in the claims, specifications, and drawings is not specifically stated as "before" or "prior to," and it should be noted that the processes may be performed in any order, unless the output of a previous process is used in a later process. Even if the operational flow in the claims, specifications, and drawings is explained using "first," "next," etc. for convenience, it does not mean that it is necessary to perform the processes in this order.

10 Facility 20 Facility equipment 30 Inspector 35 Manager 40 Worker 100 Device 105 Display device 110 Display device 120 Report acquisition unit 130 DB
140 DB connection unit 150 Work performance output unit 152 Similarity calculation unit 154 Selection unit 160 Management data acquisition unit 162 Work plan acquisition unit 164 Constraint condition acquisition unit 170 Evaluation unit 172 Difference detection unit 174 Work plan evaluation unit 180 Evaluation result output unit 190 Work plan display processing unit 192 Addition unit 400 Work plan input screen 410 Abnormality display field 420 Work plan input field 430 Constraint condition input field 500 Evaluation result display screen 510 Evaluation result field 600 Evaluation result display screen 610 Table

Claims (13)

a database connection unit that accesses a database that stores a plurality of pairs each including anomaly information regarding anomalies that have occurred in equipment and work records for dealing with the anomalies;
A report acquisition unit that acquires a report including abnormality information regarding an abnormality that has occurred in the equipment;
a work plan acquisition unit that acquires a work plan for dealing with the abnormality in the report;
a selection unit that selects at least one pair from among the plurality of pairs based on a similarity between the anomaly information being reported and anomaly information included in each of the plurality of pairs stored in the database;
a work plan evaluation unit that evaluates the work plan based on a difference between the work plan and the work performance of the at least one set selected by the selection unit;
and an evaluation result output unit that outputs information according to the evaluation result evaluated by the work plan evaluation unit. The work plan acquisition unit acquires a plurality of work plans for dealing with the abnormality in the report,
The device according to claim 1 , wherein the evaluation result output unit outputs, as the information according to the evaluation result, information on an evaluation order of the plurality of work plans, or a recommended work plan from among the plurality of work plans. The apparatus according to claim 2 , wherein the evaluation result output unit outputs, as information corresponding to the evaluation result, display data for displaying, on a display device, at least two or more of the plurality of work plans in order of evaluation. The work plan evaluation unit corrects the work plan acquired by the work plan acquisition unit based on the difference,
The apparatus according to claim 1 , wherein the evaluation result output unit outputs the modified work plan as information according to the evaluation result. The apparatus of claim 1 , wherein the work plan evaluator evaluates whether the work plan satisfies work plan constraints that address anomalies in the report. The device according to claim 1 , wherein the selection unit selects, based on the similarity, at least one set including work performance that satisfies a constraint condition of a work plan that addresses the anomaly in the report, or selects at least one set other than a set including work performance that does not satisfy the constraint condition. A difference detection unit detects a difference between the work plan and the at least one set of work results selected by the selection unit,
The apparatus according to claim 1 , wherein the work plan evaluation unit evaluates the work plan based on the difference detected by the difference detection unit. the selection unit selects two or more pairs from the plurality of pairs based on the similarity;
8. The device according to claim 7, wherein the difference detection unit acquires a reference work record to be used for evaluating the work plan from the two or more sets of work records selected by the selection unit, and detects a difference between the reference work record and the work plan acquired by the work plan acquisition unit. Each of the plurality of sets further includes a performance evaluation for the work performance,
The apparatus according to claim 1 , wherein the selection unit selects at least one pair from among the plurality of pairs based on the similarity and a performance evaluation of the work performance. The device according to claim 1 , wherein the selection unit selects at least one pair based on a similarity between the anomaly information being reported and anomaly information related to the facility in which the anomaly being reported has occurred that is stored in the database. a similarity calculation unit that calculates a similarity between the anomaly information being reported and the anomaly information included in each of the plurality of sets stored in the database,
The device according to claim 1 , wherein the selection unit selects at least one pair from among the plurality of pairs based on the similarity calculated by the similarity calculation unit. A step in which the computer obtains a report including abnormality information regarding an abnormality occurring in the facility;
A step in which the computer obtains a work plan for dealing with an abnormality that has occurred in the facility;
A step in which the computer accesses a database that stores a plurality of pairs each including anomaly information regarding an anomaly that has occurred in the equipment and a work record for dealing with the anomaly;
a step of the computer selecting at least one set from among the plurality of sets based on a similarity between the anomaly information in the report and anomaly information included in each of the plurality of sets stored in the database;
A step of evaluating the work plan by the computer based on a difference between the work plan and the work performance of the at least one set selected in the selecting step;
and a step of the computer outputting information according to the evaluation result. The method is executed by a computer, causing the computer to:
a database connection unit that accesses a database that stores a plurality of pairs each including anomaly information regarding anomalies that have occurred in equipment and work records for dealing with the anomalies;
A report acquisition unit that acquires a report including abnormality information regarding an abnormality that has occurred in the equipment;
a work plan acquisition unit that acquires a work plan for dealing with the abnormality in the report;
a selection unit that selects at least one pair from among the plurality of pairs based on a similarity between the anomaly information being reported and anomaly information included in each of the plurality of pairs stored in the database;
a work plan evaluation unit that evaluates the work plan based on a difference between the work plan and the work performance of the at least one set selected by the selection unit;
A program that functions as an evaluation result output unit that outputs information according to the evaluation result evaluated by the work plan evaluation unit.