Maintenance support apparatus and maintenance support method

Abstract

To provide a maintenance support apparatus with which a maintenance work can be planned in consideration of environmental performance.SOLUTION: A maintenance support apparatus 100 includes a processing unit 10 and supports maintenance work when maintenance is performed for anomaly detection of mechanical equipment 600. The processing unit 10 has functions of: configuring maintenance work information 2A; configuring component information 2B; calculating a countermeasure urgency 2D indicating a degree of urgency for maintenance work so that a degree of urgency becomes higher as GHG emissions due to anomaly detection increase; and generating maintenance support information 41 including the maintenance work information 2A, the component information 2B, and the countermeasure urgency 2D.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a maintenance support device and a maintenance support method.

Background Art

[0002] A large number of mechanical facilities for performing processing and the like are installed in a production line, and an abnormal sign diagnosis system for detecting failures of these mechanical facilities in advance has been introduced. Along with this, maintenance support methods for dealing with abnormal signs have been proposed.

[0003] Patent Document 1 discloses a maintenance support method that detects a sign of abnormality of a power storage element based on measurement data regarding the power storage element sequentially stored in a storage device, and determines at least one of the construction period of a maintenance operation corresponding to the detected sign of abnormality, the number of workers, and articles including replacement parts or tools required for the maintenance operation, and notifies the worker of the maintenance operation of the determined matters and the implementation of the corresponding maintenance operation.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] By the way, Patent Document 1 does not particularly describe the point of planning a maintenance operation in consideration of environmental performance, which is the degree of influence on the global environment such as GHG emissions. This invention has been made in view of the above circumstances, and an object thereof is to provide a maintenance support device and a maintenance support method capable of planning a maintenance operation in consideration of environmental performance.

Means for Solving the Problems

[0006] To solve the above problems, a maintenance support device of the present invention is a maintenance support device that supports maintenance work when performing maintenance on an abnormal sign of mechanical equipment. The maintenance support device includes a processing unit. The processing unit has a function of acquiring abnormality prediction information including the diagnosis time when the abnormal sign is detected, the name of the abnormal sign indicating the name of the abnormal sign, and the abnormal occurrence time when an abnormality caused by the abnormal sign occurs; a function of extracting relevant information of the maintenance work for countermeasures against the abnormal sign from a maintenance work database based on the diagnosis time, the name of the abnormal sign, and the abnormal occurrence time, and constructing maintenance work information; a function of extracting relevant information of parts required for the maintenance work from a parts database and constructing parts information; a function of calculating a countermeasure urgency indicating the urgency of the maintenance work so that the higher the GHG emission amount associated with the abnormal sign, the higher the degree of urgency; and a function of generating maintenance support information including the maintenance work information, the parts information, and the countermeasure urgency.

Effect of the Invention

[0007] According to the present invention, maintenance work can be planned in consideration of environmental performance.

Brief Description of the Drawings

[0008]

Figure 1

Figure 2

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Figure 8

Best Mode for Carrying Out the Invention

[0009] 〈Configuration of Embodiment〉 An embodiment for carrying out the present invention will be described in detail with appropriate reference to the drawings. FIG. 1 is a diagram showing the configuration of a maintenance support device 100 according to the present embodiment. The maintenance support device 100 includes a processing unit 10, a storage unit 20, an input unit 30, and an output unit 40. The maintenance support device 100 is a device that takes the abnormal sign information 31 from the abnormal sign diagnosis system 500 as an input and outputs maintenance support information 41. The abnormal sign diagnosis system 500 is a system that diagnoses abnormal signs of a plurality of pieces of machinery and equipment 600.

[0010] The maintenance support device 100 of the present embodiment is a maintenance support device that cooperates with an abnormal sign diagnosis system 500 that diagnoses abnormal signs of machinery and equipment 600, avoids unplanned stops due to abnormalities occurring in the machinery and equipment 600, and performs maintenance work during a planned stop period. Further, it is a maintenance support device that supports maintenance work when performing maintenance on abnormal signs of machinery and equipment 600. The storage unit 20 stores a maintenance work database 21, a parts database 22, a deterioration cause database 24, an environmental performance database 25, and a correction correspondence table 26. Details of these databases and the like will be described later.

[0011] The maintenance support device 100 includes a processing unit 10. The processing unit 10 acquires abnormal sign information 31 including a diagnosis time 311 when an abnormal sign is detected, an abnormal sign name 312 indicating the name of the abnormal sign, and an abnormal occurrence time 313 when an abnormality caused by the abnormal sign occurs. Then, based on the diagnosis time 311, the abnormal sign name 312, and the abnormal occurrence time 313, the processing unit 10 extracts related information 210 of maintenance work for countermeasures against the abnormal sign from the maintenance work database 21 and constitutes maintenance work information 2A.

[0012] Further, the processing unit 10 extracts the related information 220 of the parts necessary for the maintenance work from the parts database 22 to constitute the parts information 2B. Also, the processing unit 10 calculates the original urgency 2C indicating the degree of urgency of the maintenance work. Note that the "original urgency 2C" represents the degree of urgency without particularly considering the environmental performance. Then, the urgency correction unit 12 included in the processing unit 10 calculates the countermeasure urgency 2D by correcting the original urgency 2C according to the environmental performance. And the processing unit 10 generates the maintenance support information 41 composed of the maintenance work information 2A, the parts information 2B, and the countermeasure urgency 2D.

[0013] The maintenance support device 100 (computer) is composed of a general computer system and includes the processing unit 10 (central processing unit), the storage unit 20, the input unit 30, and the output unit 40 as described above. Note that the abnormal sign diagnosis system 500 may be configured within the same computer system or in a different computer system.

[0014] Next, the details of each part will be described. The maintenance support device 100 acquires the abnormal sign information 31 from the abnormal sign diagnosis system 500 via the input unit 30. The abnormal sign information 31 is acquired as a signal including the diagnosis time 311 indicating the time when the abnormal sign was detected, the abnormal sign name 312 indicating the name of the abnormal sign, and the abnormal occurrence time 313 when the abnormality caused by the abnormal sign occurs.

[0015] As shown in FIG. 1, when the abnormal sign diagnosis system 500 diagnoses a plurality of mechanical equipment 600, for example, the site name and the unit No. are associated with the abnormal sign information 31 as the header information of the abnormal sign information 31. Therefore, the maintenance support device 100 can support the maintenance work when performing maintenance on the abnormal signs of the mechanical equipment for a plurality of mechanical equipment 600.

[0016] When the abnormal sign information 31 is acquired, the processing unit 10 extracts the related information 210 of the maintenance work for countermeasures against the abnormality from the maintenance work database 21 constructed in the storage unit 20. Further, the processing unit 10 extracts the related information 220 of the parts necessary for the maintenance work from the parts database 22 constructed in the storage unit 20. Furthermore, the processing unit 10 calculates the original urgency 2C indicating the degree of urgency of the maintenance work for countermeasures against the abnormality. The urgency correction unit 12 performs a correction process according to the environmental performance on the original urgency 2C and outputs the result as the countermeasure urgency 2D. Further, the processing unit 10 generates the maintenance support information 41 based on the maintenance work information 2A which is the related information of the maintenance work, the parts information 2B which is the related information of the necessary parts, and the countermeasure urgency 2D. Then, the processing unit 10 prints and outputs the maintenance support information 41 in a predetermined format.

[0017] Figure 2 is a diagram showing the data structures of the maintenance work database 21 and the parts database 22. The maintenance work database 21 includes fields of an abnormal sign name 211, a maintenance work days 212, a maintenance target part 213, a required number of personnel 214, and a maintenance work content 215 in each record. The maintenance work days 212 indicates the number of work days required to countermeasure the abnormal sign indicated by the abnormal sign name 211. The maintenance target part 213 indicates the replacement parts necessary to countermeasure the abnormal sign. The required number of personnel 214 indicates the number of personnel for the replacement parts necessary to countermeasure the abnormal sign. The maintenance work content 215 indicates the specific maintenance content. Also, the required number of maintenance personnel 216 indicates the number of maintenance personnel (qualified acquirers) required for the execution of the maintenance content.

[0018] Further, the parts database 22 includes fields of a part name 221, an inventory number 222, a days to arrival 223, and an order destination 224 in each record. The parts database 22 is a database that accumulates information on parts necessary when maintaining the maintenance target machinery and equipment. The inventory number 222 indicates the number of parts in hand of the part indicated by the part name 221, the days to arrival 223 indicates the number of days required until arrival when the part is ordered, and the order destination 224 indicates the manufacturer or the like to which the part is ordered.

[0019] In the example shown in FIG. 2, assuming that the detected abnormal sign is "cooling pipe breakage", the processing unit 10 reads the corresponding record from the component database 22. As a result, the processing unit 10 recognizes that the components to be maintained 213 in that record are "cooling hoses" and "tube connectors". Then, the processing unit 10 reads two records from the component database 22 where the component names 221 are "cooling hoses" and "tube connectors". Thereby, the processing unit 10 can recognize the stock quantity 222, the number of days until arrival 223, and the order destination 224 of these components to be maintained.

[0020] Note that when only one of each component is allocated to one piece of machinery and equipment, the target component can be specified simply by the component name. When multiple identical components are allocated to one piece of machinery and equipment, for example, it can be specified by (1) the component name and the mounting coordinates, or (2) indicating the device No. assigned to each component on the drawing attached with the maintenance work content.

[0021] <Operation of the Embodiment> Next, the operation of this embodiment will be described. FIG. 3 is a flowchart showing the maintenance support process S10. Refer to FIGS. 1 and 2 as appropriate. When the processing unit 10 acquires the abnormal sign information 31 from the abnormal sign diagnosis system 500 (step S11), it searches the maintenance work database 21 for the same abnormal sign name using the abnormal sign name included in the abnormal sign information 31 as a key. As a result, the processing unit 10 extracts the maintenance work days 212, the components to be maintained 213, the required number of personnel 214, the maintenance work content 215, and the required number of maintenance personnel 216 associated with the abnormal sign name (step S12). Further, the processing unit 10 searches the component database 22 for the same component name 221 using the components to be maintained 213 as a key, and extracts the stock quantity 222, the number of days until arrival 223, and the order destination 224 associated with the component name (step S13). The number of days until arrival is the number of days required for the component to reach the work site and become workable.

[0022] When these data are extracted, the processing unit 10 constructs related information 210 of the maintenance work from the abnormal sign name 211, the maintenance work days 212, the maintenance target parts 213, the required number of personnel 214, the maintenance work content 215, and the required number of maintenance personnel 216 (step S14). Next, the processing unit 10 constructs related information 220 of the necessary parts from the part name 221, the inventory quantity 222, the days until arrival 223, and the order source 224 (step S15).

[0023] Next, the processing unit 10 calculates the original urgency 2C for the abnormal sign based on the maintenance work days 212, the maintenance target parts 213, the required number of personnel 214 in the maintenance work database 21, and the inventory quantity 222 and the days until arrival 223 in the part database 22 (step S16). Next, the urgency correction unit 12 in the processing unit 10 calculates the countermeasure urgency 2D by correcting the original urgency 2C based on the correction related information 230 (step S21). Note that the details of steps S16 and S21 will be described later. Then, the processing unit 10 constructs the maintenance support information 41 (step S22), prints it in a predetermined format, and outputs it (step S23).

[0024] Next, the calculation method of the original urgency 2C will be described. FIG. 4 is a diagram showing the calculation method of the original urgency 2C. FIG. 4 shows an original urgency determination condition table 51 and a time chart 52. In the time chart 52, it is assumed that an abnormal sign is detected at the diagnosis time t10. The abnormal occurrence time t20 is the time when an abnormality is expected to occur until the abnormality actually occurs, and after the abnormality actually occurs, it refers to the time when the abnormality actually occurs. The number of days Ta for pre-countermeasure is the number of days from the diagnosis time t10 to the abnormal occurrence time t20.

[0025] The number of days Ta for pre - response can be divided into a first - half period Tb and a second - half period Tc around the boundary time t15. Here, the boundary time t15 may be a time when the environmental performance changes significantly within the number of days Ta for pre - response, or may simply be a time that bisects the number of days Ta for pre - response. Also, maintenance may not be completed within the number of days Ta for pre - response, and there may be a case where maintenance is completed at a time after an abnormality actually occurs, for example, at the time t30 shown in the figure. In this case, the period from the abnormality occurrence time t20 to the time t30 is called the post - abnormality occurrence period Td.

[0026] As the original emergency - degree determination conditions in the original emergency - degree determination condition table 51, there are the following. (Condition 1): When (stock quantity ≥ required number of personnel) holds and (maintenance work days ≤ number of days Ta for pre - response) holds, the processing unit 10 determines that the original emergency - degree 2C is small (= 0.1). If the stock quantity, which is the number of items in hand, is sufficient for the required number of personnel for the parts to be maintained, there is no need to newly order the parts to be maintained. Furthermore, if the number of days Ta for pre - response is ensured to be greater than or equal to the maintenance work days, the mechanical equipment to be maintained can be stopped plannedly for maintenance work. Therefore, the processing unit 10 can determine that the original emergency - degree 2C is small (= 0.1).

[0027] (Condition 2): When (stock quantity < required number of personnel) holds and ((receiving days + maintenance work days) ≤ number of days Ta for pre - response) holds, the processing unit 10 determines that the original emergency - degree 2C is small (= 0.1). If the stock quantity, which is the number of items in hand, is not sufficient for the required number of personnel for the parts to be maintained, it is necessary to newly order the parts to be maintained. In this condition, the receiving days of the parts to be maintained are an important factor. That is, if the number of days Ta for pre - response is ensured to be greater than or equal to (receiving days + maintenance work days), even if (stock quantity < required number of personnel), the mechanical equipment to be maintained can be stopped plannedly for maintenance work. Therefore, the processing unit 10 can determine that the original emergency - degree 2C is small (= 0.1).

[0028] When both (Condition 1) and (Condition 2) are not satisfied, the processing unit 10 determines that the original urgency level 2C is high (= 1.0) and conveys the urgency of the maintenance work to the maintenance worker.

[0029] As described above, an example of the method for determining the original urgency level 2C has been shown, but it is not limited to the above, and various methods can be adopted for the method of determining the original urgency level 2C. The number of days for pre-emptive response is the maximum number of stoppable days based on the importance of the mechanical equipment. For example, for the emergency power generation equipment in a hospital, the original urgency level 2C can be set to be high, and for consumer products such as air conditioners, the original urgency level 2C can be set to be low. In this way, without particularly calculating the number of days, the original urgency level 2C may be set in advance according to the expected importance of each mechanical equipment.

[0030] In addition, the original urgency level 2C may be set in advance based on the content of the abnormal omen. For example, if the abnormality that actually occurs based on the detected abnormal omen is a serious failure, the original urgency level 2C may be increased, and if the abnormality that actually occurs based on the detected abnormal omen is a minor failure, the original urgency level 2C may be decreased.

[0031] FIG. 5 is a diagram showing an example of the deterioration cause database 24, the environmental performance database 25, and the correction correspondence table 26. The deterioration cause database 24 is a database that associates the abnormal omen names in each column with the deterioration causes in each row. Among the cells where each column and each row intersect, those marked with a check mark indicate that the corresponding abnormal omen name and the deterioration cause have a corresponding relationship. For example, assuming that the detected abnormal omen is "cooling pipe breakage", the abnormal omen is associated with "chemical corrosion" and "electrical corrosion". This indicates that "chemical corrosion" and "electrical corrosion" are considered as the causes of "cooling pipe breakage".

[0032] In addition, the environmental performance database 25 is a database that stores the GHG emission coefficients Kb, Kc, and Kd (hereinafter sometimes simply referred to as coefficients Kb, Kc, and Kd) for each cause of deterioration. Note that "GHG" is an abbreviation for "Green House Gas" (greenhouse gas). The three coefficients Kb, Kc, and Kd are coefficients corresponding to the CO 2 emission per unit power and per unit period in each period Tb, Tc, and Td shown in FIG. 4, respectively.

[0033] Further, the correction correspondence table 26 stores a personnel correction value Rb corresponding to the required number of maintenance personnel 216 (see FIG. 2). In the illustrated example, the personnel correction value Rb is "1.0" if the required number of maintenance personnel is "1 person", "1.5" if it is "2 to 4 people", and "2.0" if it is "5 people or more". As in this example, the larger the required number of maintenance personnel 216, the larger the personnel correction value Rb. And the larger the personnel correction value Rb, the larger the countermeasure urgency 2D (details will be described later). Among the deterioration cause database 24, the environmental performance database 25, and the correction correspondence table 26, the content read out corresponding to the abnormal sign information 31 (see FIG. 1) becomes the above-described correction-related information 230 (see FIG. 1).

[0034] The periods actually required to complete the maintenance work in the first half period Tb, the second half period Tc, and the period after the occurrence of the abnormality Td are referred to as the actual first half period Tbr, the actual second half period Tcr, and the actual period after the occurrence of the abnormality Tdr, respectively. For example, assuming that the maintenance work is completed at time t12 shown in FIG. 4, the actual first half period Tbr is the period from the diagnosis time t10 to time t12, and the actual second half period Tcr and the actual period after the occurrence of the abnormality Tdr are "0". Also, assuming that the maintenance work is completed at time t17, the actual first half period Tbr is equal to the first half period Tb, the actual second half period Tcr is equal to the period from the boundary time t15 to time t17, and the actual period after the occurrence of the abnormality Tdr is "0".

[0035] Also, assuming that the maintenance work is completed at time t30, the actual first half period Tbr is equal to the first half period Tb, the actual second half period Tcr is equal to the second half period Tc, and the actual post - anomaly occurrence period Tdr is the period from the anomaly occurrence time t20 to time t30. Further, let the output powers of the mechanical equipment 600 (for example, emergency power generation equipment) to be maintained during the periods Tb, Tc, and Td be Pb, Pc, and Pd respectively. The processing unit 10 calculates the GHG emissions corresponding to the anomaly omen based on the following formula (1). GHG emissions = Kb·Pb·Tbr + Kc·Pc·Tcr + Kd·Pd·Tdr … Formula (1)

[0036] Next, the processing unit 10 calculates the environmental correction value Ra based on the comparison of the calculated GHG emissions with a predetermined threshold value Gth. That is, if "GHG emissions > threshold value Gth", the environmental correction value Ra is set to, for example, "2.0". On the other hand, if "GHG emissions ≤ threshold value Gth", the personnel correction value Rb is set to, for example, "1.0". Next, the processing unit 10 reads out the personnel correction value Rb corresponding to the required number of maintenance personnel from the correction correspondence table 26 (see Figure 5). Then, the processing unit 10 calculates the countermeasure urgency 2D by multiplying the original urgency 2C, the environmental correction value Ra, and the personnel correction value Rb. That is, the countermeasure urgency 2D is as shown in the following formula (2). Countermeasure urgency = Original urgency · Ra · Rb … Formula (2)

[0037] Figure 6 is a diagram showing the format 41P for printing the details of the maintenance support information. The processing unit 10 constitutes the related information 210 of the maintenance work, that is, the maintenance work information 2A, and the related information 220 of the required parts, that is, the parts information 2B. When calculating the countermeasure urgency 2D, it prints and outputs it in the format 41P shown in Figure 6. The operator will start preparing for the countermeasures against the anomaly omen based on the printed format.

[0038] Format 41P is provided with columns for displaying the relevant information 210 of maintenance work, the relevant information 220 of necessary parts, the urgency level 2D of countermeasures, and the breakdown information 250 of urgency level judgment, respectively. The relevant information 210 of maintenance work is provided with columns for displaying the name 211 of abnormal sign, the number of days 212 of maintenance work, the parts to be maintained 213, the required number of personnel 214, and the content 215 of maintenance work, respectively.

[0039] The relevant information 220 of necessary parts is provided with columns for displaying the part name 221, the stock quantity 222, the number of days for incoming goods 223, and the ordering source 224, respectively. The breakdown information 250 of urgency level judgment is provided with a column 252 for preparation of maintenance personnel, a column 254 for difficulty of part procurement, a column 256 for available working time for response, and a column 258 for GHG impact.

[0040] The column 252 for preparation of maintenance personnel indicates the difficulty level of preparing maintenance personnel, and one of "easy", "difficult", and "very difficult" is displayed. These display contents are respectively associated with, for example, the number of maintenance personnel "1 person", "2 - 4 persons", and "5 persons or more" in the correction response table 26 (see FIG. 5). The column 254 for difficulty of part procurement indicates the difficulty level of part procurement, and one of "small", "medium", and "large" is displayed. This display content may be determined according to the number of days for incoming goods of the relevant part.

[0041] In addition, the column 256 for available working time for response indicates the length of time available for work response, and one of "short", "normal", "long", and "insufficient" is displayed. This display content may be determined according to the result of dividing the "time required for maintenance work" by the "number of days allocated for maintenance work". Also, the column 258 for GHG impact indicates the degree of impact on GHG emissions, and one of "small", "medium", and "large" is displayed. This display content may be determined according to the GHG emission amount shown in the above formula (1).

[0042] 〈Specific Example〉 Returning to FIG. 2, the content of specific examples of the maintenance work database 21 and the parts database 22 will be described. This example shows an example of an emergency power generation facility. The maintenance support device 100 acquires anomaly prediction information 31 from an anomaly prediction diagnosis system 500 that monitors the emergency power generation facility (see Fig. 1). Assume that the anomaly prediction information 31 includes a cooling pipe breakage as the anomaly prediction name 312, three days ago as the diagnosis time 311, and 30 days later as the anomaly occurrence time 313.

[0043] The processing unit 10 searches for "cooling pipe breakage" from the anomaly prediction names 211 in the maintenance work database 21 shown in Fig. 2, extracts "5" as the associated maintenance work days 212, "cooling hose" and "tube connector" as the maintenance target parts 213, "1" and "2" respectively as the required number of personnel 214, and "pipe replacement" as the maintenance work content 215. Also, it extracts "2 people" as the required number of maintenance personnel 216. Further, the processing unit 10 extracts "3" as the inventory quantity 222, "7" as the number of days until arrival 223, and "Company A" as the order destination 224 from the parts database 22 for the "cooling hose".

[0044] Similarly, the processing unit 10 extracts "10" as the inventory quantity 222, "3" as the number of days until arrival 223, and "Company A" as the order destination 224 for the "tube connector". Furthermore, the processing unit 10 confirms that the inventory quantities of the "cooling hose" and "tube connector" are equal to or greater than the required number of personnel for the maintenance work parts, and that (maintenance work days ≤ days that can be pre-responded to) holds, and determines that the original emergency level 2C is low (=0.1).

[0045] Fig. 7 is a diagram showing an output example 41A of the maintenance support information 41. The processing unit 10 prints and outputs the above information in a predetermined format 41P. In Fig. 7 and Fig. 8 described later, the internal reference signs in the output example are omitted, and the reference signs are the same as those in Fig. 6.

[0046] Fig. 8 is a diagram showing another output example 41B of the maintenance support information 41. The processing unit 10 searches for "exhaust heat unit damage" from the abnormal sign names 211 in the maintenance work database 21 (see Figure 2), and extracts "10" as the associated maintenance work days 212. Further, the processing unit 10 extracts "exhaust heat unit" and "ignition plug" as the parts to be maintained, and extracts "1" and "1" respectively as their required number of personnel 214. Additionally, the processing unit 10 extracts "replacement of the exhaust heat unit and adjustment of the ignition timing" as the maintenance work content 215.

[0047] Furthermore, regarding the "exhaust heat unit", the processing unit 10 extracts "0" as the inventory quantity 222, "20" as the days until arrival 223, and "Company B" as the order destination 224 from the parts database 22. Similarly, regarding the "ignition plug", the processing unit 10 extracts "20" as the inventory quantity 222, "10" as the days until arrival 223, and "Company C" as the order destination 224.

[0048] Furthermore, the processing unit 10 confirms that the inventory quantity of the "ignition plug" (=20) is greater than or equal to the required number of personnel for the maintenance work parts (=1), and that "maintenance work days (=10) ≤ days for advance response" holds, and determines that the original urgency level 2C for the "ignition plug" is low (=0.1). Also, the processing unit 10 determines that the inventory quantity of the "exhaust heat unit" is "0" and that (inventory quantity < required number of personnel) in (Condition 2) holds. Next, regarding ((days until arrival + maintenance work days) ≤ days for advance response) in the above-mentioned (Condition 2), if it does not hold, it is determined that the original urgency level 2C regarding the "exhaust heat unit" is high (=1.0).

[0049] In this way, when the original urgency level 2C differs according to the maintenance response parts, the largest among them is adopted as the original urgency level 2C for the abnormal sign. That is, the original urgency level 2C becomes high (=1.0). And assuming that the countermeasure urgency level 2D obtained by correcting the original urgency level 2C is also "high". As a result, in the countermeasure urgency level 2D in Figure 8, a comment "urgently order the exhaust heat unit" is described. Also, when the exhaust heat unit is deteriorated, since the GHG emission amount shown in Equation (1) becomes large, "high" is indicated in the GHG impact column 258 in Figure 8.

[0050] <Effect of Embodiment> As described above, the maintenance support device 100 and the maintenance support method of the present embodiment have the following features. (1) The maintenance support device 100 has a function of calculating a countermeasure urgency 2D indicating the urgency of maintenance work such that the higher the GHG emission amount associated with the abnormal sign, the higher the degree of urgency, and a function of generating maintenance support information 41 including maintenance work information 2A, component information 2B, and countermeasure urgency 2D. Thereby, when the GHG emission amount increases with an abnormal sign, it is possible to alert the user, and the user can make a maintenance work plan taking into account the impact on environmental performance by not performing the maintenance work, and can contribute to the reduction of GHG emissions.

[0051] (2) Further, it is more preferable that the processing unit 10 extracts the cause of deterioration from the deterioration cause database 24 based on the abnormal sign names 211, 312, reads the GHG emission coefficients Kb, Kc, Kd corresponding to the cause of deterioration from the environmental performance database 25, and determines the countermeasure urgency 2D based on the GHG emission amount calculated using the GHG emission coefficients Kb, Kc, Kd. Thereby, it is possible to calculate a more accurate GHG emission amount corresponding to the cause of deterioration.

[0052] (3) Further, it is more preferable that the processing unit 10 determines the countermeasure urgency 2D using, among the GHG emission coefficients Kb, Kc, Kd, those (Kb, Kc) applied before the occurrence of an abnormality based on the cause of deterioration and those (Kd) applied after the occurrence of the abnormality, thereby determining different countermeasure urgencies 2D before and after the occurrence of the abnormality. Thereby, it is possible to calculate the degree to which the GHG emission amount deteriorates before and after the occurrence of the abnormality, and the user can formulate a maintenance work plan according to the degree of deterioration (urgency).

[0053] (4) Further, it is more preferable that the processing unit 10 reads out the number of maintenance personnel required 216 for performing maintenance work from the maintenance work database 21, and calculates the countermeasure urgency 2D so that the higher the number of maintenance personnel required 216, the higher the degree of urgency. Thereby, the countermeasure urgency 2D can be calculated according to the difficulty of securing the number of maintenance personnel required 216.

[0054] <Variant Example> The present invention is not limited to the above-described embodiments, and various modifications are possible. The above-described embodiments are exemplified for easy understanding and explanation of the present invention, and are not necessarily limited to those having all the configurations described. Also, other configurations may be added to the configurations of the above embodiments, and a part of the configurations may be replaced with other configurations. Also, the control lines and information lines shown in the drawings indicate those considered necessary for explanation, and do not necessarily indicate all the control lines and information lines required on the product. In practice, it may be considered that almost all configurations are interconnected. Possible modifications to the above embodiments are, for example, as follows.

[0055] (1) Since the hardware of the maintenance support device 100 in the above embodiment can be realized by a general computer, a program or the like for executing the processing corresponding to each of the above block diagrams, each flowchart, and other various processes described above is stored in a storage medium (a computer-readable recording medium recording the program), or may be distributed via a transmission path.

[0056] (2) The processing corresponding to each of the above block diagrams, each flowchart, and other various processes described above are described as software processing using a program in the above embodiment, but a part or all of them may be replaced with hardware processing using an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0057] (3) The various processes executed in the above-described embodiment may be executed by a server computer via a network (not shown), and the various data stored in the above-described embodiment may also be stored in the server computer.

Explanation of Signs

[0058] 2A Maintenance work information 2B Parts information 2C Original urgency 2D Countermeasure urgency 10 Processing unit 12 Urgency correction unit 20 Storage unit 21 Maintenance work database 22 Parts database 24 Deterioration cause database 25 Environmental performance database 26 Correction correspondence table 30 Input unit 31 Abnormality omen information 40 Output unit 41 Maintenance support information 41P Format 41A Output example 41B Output example 51 Original urgency determination condition table 52 Time chart 100 Maintenance support device (computer) 210 Information related to maintenance work 211 Abnormality omen name 212 Number of maintenance work days 213 Maintenance target parts 214 Required number of personnel 215 Maintenance work content 216 Required number of maintenance personnel 220 Information related to required parts 221 Parts name 222 Stock quantity 223 Number of days until arrival 224 Order destination 230 Information related to correction 250 Breakdown of urgency judgment information 252 Maintenance personnel preparation column 254 Parts procurement difficulty column 256 Available operation time column 258 GHG impact column 311 Diagnosis time 312 Abnormal sign name 313 Abnormal occurrence time 500 Abnormal sign diagnosis system 600 Machinery and equipment S10 Maintenance support process

Claims

1. A maintenance support device for supporting maintenance work when performing maintenance on an abnormality sign of a mechanical device, wherein the maintenance support device includes a processing unit, and the processing unit, has a function of acquiring abnormality sign information including the diagnosis time when the abnormality sign was detected, the name of the abnormality sign indicating the name of the abnormality sign, and the abnormality occurrence time when an abnormality caused by the abnormality sign occurs; a function of extracting relevant information of the maintenance work for countermeasures against the abnormality sign from a maintenance work database based on the diagnosis time, the name of the abnormality sign, and the abnormality occurrence time, and constructing maintenance work information; a function of extracting relevant information of parts required for the maintenance work from a parts database and constructing parts information; a function of calculating a countermeasure urgency indicating the urgency of the maintenance work so that the higher the GHG emission amount associated with the abnormality sign, the higher the urgency; and a function of generating maintenance support information including the maintenance work information, the parts information, and the countermeasure urgency. A maintenance support device characterized by the above.

2. The processing unit, extracts a deterioration cause from a deterioration cause database based on the name of the abnormality sign, reads out a GHG emission coefficient corresponding to the deterioration cause from an environmental performance database, and determines the countermeasure urgency based on the GHG emission amount calculated using the GHG emission coefficient. The maintenance support device according to claim 1, characterized by the above.

3. The processing unit, determines different countermeasure urgencies before and after the occurrence of an abnormality by determining the countermeasure urgency using the GHG emission coefficients applied before the occurrence of the abnormality based on the deterioration cause and those applied after the occurrence of the abnormality. The maintenance support device according to claim 2, characterized by the above.

4. The processing unit, reads out the number of maintenance personnel required to execute the maintenance work from the maintenance work database, and calculates the countermeasure urgency so that the higher the number of maintenance personnel required, the higher the urgency. The maintenance support device according to claim 3, characterized by the above.

5. A maintenance support method for supporting maintenance work when performing maintenance on an abnormality sign of a mechanical device, wherein a computer, acquires abnormality sign information including the diagnosis time when the abnormality sign was detected, the name of the abnormality sign indicating the name of the abnormality sign, and the abnormality occurrence time when an abnormality caused by the abnormality sign occurs; Based on the diagnosis time, the name of the abnormal sign, and the time of occurrence of the abnormality, a process of extracting relevant information of the maintenance work for countermeasures against the abnormal sign from the maintenance work database to constitute maintenance work information; A process of extracting relevant information of parts required for the maintenance work from the parts database to constitute parts information; A process of calculating a countermeasure urgency indicating the urgency of the maintenance work such that the higher the GHG emission amount associated with the abnormal sign, the higher the degree of urgency; A process of generating maintenance support information including the maintenance work information, the parts information, and the countermeasure urgency is executed. A maintenance support method characterized by the above.

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