JP2004162997A - Equipment maintenance and management method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To realize an equipment maintenance and management method for realizing the effective maintenance and management of the equipment, reducing the maintenance management cost for an equipment operator, and determining the proper insurance cost with respect to the equipment. <P>SOLUTION: An equipment manufacturer M makes a maintenance schedule of the equipment on the basis of a predetermined diagnosing method, makes contract on accident insurance on the equipment with an insurance company H on the basis of the maintenance schedule, and is entrusted with the maintenance management including the guarantee against the equipment from the equipment operator U to put in practice. <P>COPYRIGHT: (C)2004,JPO

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a facility maintenance management method.
[0002]
Problems to be solved by the prior art and the invention
For example, equipment such as a plant is generally maintained and managed mainly by an equipment operator. That is, after receiving the equipment from the equipment manufacturer, the equipment operator drafts a maintenance plan as part of the equipment operation plan, and implements the maintenance plan at his / her own responsibility to ensure stable and economical operation of the equipment. Driving has been realized. On the other hand, a facility operator may conclude a property and casualty insurance contract related to facility operation with an insurer in order to avoid economic risks related to facility operation.
[0003]
By the way, in order to realize effective maintenance management, equipment operators need to have specialized knowledge on such matters, and more specifically, specialize in maintenance management including non-life insurance contracts. It is necessary to establish a department (maintenance management department). However, maintenance management of such equipment requires technical knowledge about various devices constituting the equipment and maintenance management know-how based on operation results. For example, a facility operator or the like who wants to newly operate a facility cannot have specialized knowledge on maintenance management of such a facility, and thus cannot perform effective maintenance management.
[0004]
In addition, it is necessary to secure a certain amount of human resources in order to organize the maintenance department, and the facility operator must secure personnel costs for this. However, this labor cost increases the operation cost of the equipment, and it is preferable to reduce the labor cost as much as possible.
[0005]
Further, when a facility operator concludes a property and casualty insurance contract with the insurer on the facility operation, the setting of the insurance premium may be a major obstacle. That is, for example, in the case of a facility operator or the like operating a new facility as described above, the facility operator or the like cannot accept the insurance premium presented by the insurer as it is because the facility operator or the like cannot have expertise in maintenance management. It is difficult to conclude a non-life insurance contract at an appropriate premium because of having to conclude an insurance contract. In addition, regarding this non-life insurance contract, the insurer has not established an effective method of calculating non-life insurance premiums for equipment, so it cannot present appropriate insurance premiums to equipment operators. There is. At this time, the applicant does not have information on the names and locations of known documents in which the above-mentioned conventional technology is described.
[0006]
The present invention has been made in view of the above problems, and has the following objects.
(1) Realize effective maintenance management for equipment.
(2) The maintenance management cost for the equipment operator is reduced.
(3) Set appropriate non-life insurance premiums for equipment.
[0007]
[Means for Solving the Problems]
In order to achieve the above object, according to the present invention, as a first means related to a facility maintenance management method, a facility maker (M) drafts a maintenance plan for a facility (X) based on a predetermined diagnosis method, and Based on the maintenance plan, a non-life insurance contract for the equipment (X) is concluded with the insurer (H), and maintenance management including guarantee for the equipment (X) is received from the equipment operator (U). And adopt a configuration of practice.
[0008]
Further, as a second means relating to the equipment maintenance management method, in the first means, the equipment maker (M) may use the equipment operator (U) to diagnose operation information indicating the operation state of the equipment (X) by a diagnostic method. Are sequentially acquired as one piece of information necessary for the equipment (X), and a maintenance plan for the equipment (X) is drafted based on the operation information thus acquired.
[0009]
As a third means relating to the facility maintenance management method, in the above first or second means, the diagnostic method is a risk based maintenance (RBM) method.
Is adopted.
[0010]
As a fourth means relating to the maintenance management method of the equipment, the configuration in which the equipment (X) is a boiler in any of the first to third means is adopted.
[0011]
BEST MODE FOR CARRYING OUT THE INVENTION
Hereinafter, an embodiment of a facility maintenance management method according to the present invention will be described with reference to the drawings. In this embodiment, the equipment to be maintained and managed is a boiler operated in a thermal power plant.
[0012]
First, a functional configuration of a maintenance management support apparatus for realizing the boiler maintenance management method will be described with reference to FIG. This maintenance management support device is an engineering workstation that calculates and outputs a primary evaluation result of a boiler X based on a risk-based maintenance (RBM) based on a dedicated program. 1, an operation state evaluation database 2, a design information database 3, an operation information database 4, a communication unit 5, an operation unit 6, an RBM operation unit 7, and an output unit 8.
[0013]
Here, to briefly supplement the outline of the RBM, the RBM describes the “risk” related to the maintenance management of the object (RBM object) as “Likelihood” and “Damage (Consequence)”. The final risk is determined by evaluating the "probability of damage" and the "magnitude of damage" respectively in consultation with various experts regarding the RBM object, The maintenance plan is created based on the risk determined as described above. Such an RBM is effective as a method of diagnosing an RBM object for maintenance management of facilities.
[0014]
The procedure for evaluating the "easiness of damage" and the "magnitude of damage" in such an RBM includes the following three steps. In other words, the first step is “inventory creation”. In this step, the parts (diagnosis target parts) of the RBM object that may cause damage due to aging are classified hierarchically, Related information, that is, design information, operation information, inspection information, material information, and the like are surveyed and collected to make a database, and a damage mechanism of each diagnosis target site is defined.
[0015]
The second stage is the “primary evaluation of the RBM object”. In this stage, various specialists such as designers, maintainers, operators, structural researchers, material researchers, etc. are required to perform each item in the above-mentioned list (each diagnostic object). Part), discuss "probability of damage" and "magnitude of damage", convert "probability of damage" and "magnitude of damage" into evaluation indices, and convert each evaluation index to "occurrence of damage". Map on the risk matrix for "Ease" and "Damage". The third stage is the “secondary evaluation (final evaluation) of the RBM object”, in which various experts use each risk matrix for each diagnosis target site as well as examples of the relevance of each diagnosis target site and other objects. Re-evaluate from a comprehensive point of view, and determine the final index for the risk of each diagnostic site.
[0016]
The damage evaluation database 1 of the maintenance management support apparatus is used to evaluate the above-mentioned “magnitude of damage”, and corresponds to a relationship between the magnitude of damage to the thermal power plant Y (the target of the RBM) and the evaluation index. Are defined, that is, a power outage period evaluation table 1a, a boiler repair cost evaluation table 1b, another repair cost evaluation table 1c, and a human disaster evaluation table 1d.
[0017]
Among these damage evaluation tables, the power outage period evaluation table 1a registers the relationship between the amount of damage (the magnitude of damage) based on the outage period of the thermal power plant Y and the evaluation index. FIG. 2 is a table showing a data structure of the power suspension period evaluation table 1a. The power outage period evaluation table 1a registers the relationship between the damage amount (the magnitude of damage) and the evaluation index (value) based on the operation stop period of the thermal power plant Y, which is an RBM object, as shown in the figure. is there. The damage amount is a direct loss amount of the thermal power plant Y due to the stoppage of the operation of the thermal power plant Y, that is, the stoppage of power supply, which is an essential function of the thermal power plant Y.
[0018]
In the power outage period evaluation table 1a, the damage amount due to the shutdown of the thermal power plant Y is “5 billion yen or more”, “1 billion yen to 5 billion yen”, and “500 million yen to 1 billion yen”. , “100 million yen to 500 million yen”, “10 million yen to 100 million yen”, “1 million yen to 10 million yen”, “less than 1 million yen”, and “none”. For the ranks, “1”, “0.5”, “0.3”, “0.2”, “0.1”, “0.04”, “0.004” and “0” ”Are assigned.
[0019]
Further, the power outage period evaluation table 1a is characterized in that the damage amount is registered in association with the scale of the thermal power plant Y, that is, the damage amount per day (unit damage amount). That is, the power outage period evaluation table 1a takes into account that the amount of damage caused by the shutdown of the thermal power plant differs depending on the scale of the thermal power plant Y.
[0020]
More specifically, in the power outage period evaluation table 1a, the scale of the thermal power plant Y, that is, the unit damage amount per day is “20 million yen / day”, “10 million yen / day”, and “5 million yen”. / Day "," 2.5 million yen / day "and" 1 million yen / day ". A plurality of power outage periods for each scale, for example, when the unit damage amount is 20 million yen / day, the power outage period Are classified into six ranks: "50 days or more", "10 days to 50 days", "5 days to 10 days", "2 days to 5 days", "less than 2 days", and "none". The other unit damage amounts are as shown in the figure.
[0021]
Each rank related to these power outage periods is associated with the magnitude of damage derived by multiplying by the unit damage amount. For example, when the unit damage amount is 20 million yen / day as described above, “50 days or more” is associated with “5 billion yen or more”, and “10 days to 50 days” is “1 billion yen or more”. 5 to 10 days "is associated with" 500 million to 1 billion yen ", and" 2 to 5 days "is associated with" 100 to 500 million yen ""Less than 2 days" is associated with "10 million yen to 100 million yen", and "none" is associated with "none". The other unit damage amounts are as shown in the figure.
[0022]
The boiler repair cost evaluation table 1b and the other repair cost evaluation table 1c define the relationship between the repair cost or other repair cost of the boiler X as the magnitude of damage and the evaluation index. FIG. 3 is a table showing a data structure of the boiler repair cost evaluation table 1b and the other repair cost evaluation table 1c. As shown in this figure, the boiler repair cost evaluation table 1b and the other repair cost evaluation table 1c indicate that the size of the boiler, which is one of the parts to be diagnosed, is large for a large boiler (for business) and small boiler (for private power generation). It is classified, and the relationship between the boiler repair cost or other repair cost and the evaluation index (value) is registered as the magnitude of damage for each scale. Boiler repair costs and other repair costs are classified into six ranks as shown in the figure.
[0023]
For example, in the case of a large boiler, boiler repair costs and other repair costs are “more than 5 billion yen”, “1 billion to 5 billion yen”, “500 million to 1 billion yen”, “100 million to 500 million yen”. Yen "," 10 million yen-100 million yen "and" 10 million yen or less ". Evaluation indexes of “0.4”, “0.20”, “0.20” and “0” are assigned. On the other hand, in the case of a small boiler, boiler repair costs and other repair costs are “2.5 billion yen or more”, “500 million yen to 2.5 billion yen”, “250 million yen to 500 million yen”, and “50 million yen”. ２250 million yen ”,“ 5 million yen to 50 million yen ”and“ 5 million yen or less ”are classified into six ranks. For the six ranks,“ 0.61 ”,“ Evaluation indexes of “0.4”, “0.4”, “0.20”, “0.20” and “0” are assigned.
[0024]
The human disaster evaluation table 1d defines the relationship between the cost conversion value of the magnitude of the human disaster and the evaluation index. FIG. 4 is a table showing the data structure of the human disaster evaluation table 1d. Similar to the boiler repair cost evaluation table 1b and the other repair cost evaluation table 1c, the human disaster evaluation table 1d is classified into two types, a large boiler (for business) and a small boiler (for private power generation) according to the size of the boiler. . Then, for each scale, the cost conversion value of the magnitude of the human disaster and the evaluation index (value) are associated with the magnitude of the damage. The magnitude of damage is classified into four ranks of “wide area”, “local”, “small” and “none” for each scale, and “0.5”, “0.3” , "0.2" and "0" are assigned respectively.
[0025]
In the case of a large boiler, a cost conversion value of “1 billion yen or more” is assigned to “wide area”, which is the magnitude of a human disaster, and “100 million yen to 1 billion yen” to “local”. The cost conversion value of “10 million to 100 million yen” is allocated to “small”, and the cost conversion value of “0 yen” is allocated to “none”. On the other hand, in the case of a small boiler, a cost conversion value of “500 million yen or more” is assigned to “wide area”, which is the magnitude of a human disaster, and “50 million yen” to “local”. A cost conversion value of "¥ 500 million" is allocated, a cost conversion value of "5 million yen-500 million yen" is allocated to "micro", and a cost conversion value of "0 yen" is allocated to "none" A value has been assigned.
[0026]
The power outage period evaluation table 1a, the boiler repair cost evaluation table 1b, the other repair cost evaluation table 1c, and the human disaster evaluation table 1d are one of the parts to be diagnosed of the thermal power plant Y which is the target of the RBM. Regarding a certain boiler X, the damage evaluation database 1 is provided with a damage evaluation table according to the scale for all diagnosis target parts other than the boiler X.
[0027]
The operating state evaluation database 2 is for evaluating the above-mentioned “proneness of breakage”, and includes the operating state and the evaluation index of the boiler X, which is one of the diagnosis target parts and is also a maintenance management target. And an operation temperature evaluation table 2a and an operation output history evaluation table 2b. The operation temperature evaluation table 2a defines the relationship between the operation temperature of the boiler X, which is a maintenance management target, and the evaluation index, and the operation output history evaluation table 2b indicates the relationship between the operation output of the boiler X and the evaluation index. It is defined.
[0028]
The design information database 3 is for evaluating the “easiness of breakage” in the same manner as the operation state evaluation database 2, and includes detailed design information (such as material data and design data) of the boiler X that is a maintenance management object. Drawings etc.). The design information database 3 reads out design data and drawings corresponding to a search request from the RBM operation unit 7 and provides the read design data and drawings to the RBM operation unit 7.
[0029]
The operation information database 4 is for acquiring and storing the operation information of the thermal power plant Y acquired by the communication unit 5 from the thermal power plant Y via the RBM operation unit 7. The communication unit 5 acquires the operation information indicating the operation state of the thermal power plant Y from the thermal power plant Y as one of the information for evaluating the “probability of damage”, and provides the information to the RBM calculation unit 7. Things. The operation information includes the operation temperature and operation output of the boiler X, which is a maintenance management target, as a part of the operation information indicating the operation state of each facility constituting the thermal power plant Y.
[0030]
The operation unit 6 includes various operation information necessary for calculating the primary evaluation result of the thermal power plant Y (the RBM target), for example, the unit damage as information necessary for searching the power outage period evaluation table 1a. The amount and period of power outage, the size of boiler X (large or small boiler) as information necessary for searching boiler repair cost evaluation table 1b, other repair cost evaluation table 1c and human disaster evaluation table 1d, and This is for inputting an evaluation index relating to the magnitude of the damage and “the likelihood of damage” to the RBM calculation unit 7.
[0031]
The RBM calculation unit 7 calculates a primary evaluation result of the thermal power plant Y based on the damage evaluation database 1, the operation state evaluation database 2, the design information database 3, and the like, and outputs the result to the output unit 8. Further, in addition to the primary evaluation result, the RBM operation unit 7 operates the operating unit to search various types of RBM basic information serving as a basis of the primary evaluation result, that is, each evaluation table of the damage evaluation database 1. 6 and the search result of each evaluation table (that is, evaluation index), the design information of the boiler X retrieved and acquired from the design information database 2, the boiler operation information acquired by the communication unit 5 from the thermal power plant Y, and A search result (that is, an evaluation index) of the operation state evaluation database 2 based on the boiler operation information is also output to the output unit 8.
[0032]
The output unit 8 outputs the primary evaluation result and the RBM basic information input from the RBM operation unit 7. For example, a display for displaying the primary evaluation result and the RBM basic information on a screen, the primary evaluation result and the RBM It is a printer that prints basic information or / and an external storage device that stores primary evaluation results and RBM basic information.
[0033]
Next, a boiler maintenance management method using the maintenance management support device configured as described above will be described in detail with reference to FIGS.
[0034]
FIG. 5 is a schematic diagram showing the features of the maintenance management method. In this maintenance management method, the power company that operates the thermal power plant Y and supplies power to the consumer is the boiler operator U in FIG. The boiler operator U operates the thermal power plant by operating the boiler X as one of the facilities, and supplies electric power required by the consumer. On the other hand, the boiler maker M delivers the boiler X designed and manufactured by itself to the boiler operator U, and entrusts the maintenance management work of the boiler X from the boiler operator U. The contract contents of this maintenance management work are as follows: (1) The boiler maker M is responsible for drafting an appropriate maintenance plan for the boiler X and practicing the maintenance plan (contract item A); The main contract item is to guarantee damage to the boiler operator U due to poor maintenance of the boiler X (contract item B).
[0035]
The boiler maker M drafts a maintenance plan of the boiler X based on the above-described RBM in order to faithfully fulfill the maintenance management work of the contract content. That is, the boiler maker M performs the primary evaluation on the damage of the boiler X by using the above-mentioned maintenance management support device, and performs the secondary evaluation of the evaluation result (primary evaluation result) to thereby obtain the boiler X based on the RBM. Develop a maintenance plan.
[0036]
As described above, in the RBM, the “probability of damage” and the “magnitude of damage” are converted into evaluation indices for each diagnosis target site, and these evaluation indices are converted into “probability of damage” and “magnitude of damage”. The necessity of maintenance of each part to be diagnosed is clarified by mapping on the risk matrix relating to “). However, the boiler maker M identifies one boiler X, which is one of the parts to be diagnosed and also the object of maintenance management, Evaluate the magnitude of damage caused by the failure of the boiler X by setting the thermal power plant Y operating as a component as the RBM target and the boiler X, which is also the maintenance management target, as the main diagnostic target portion At the same time, the likelihood of damage (failure) of the boiler X is evaluated.
[0037]
FIG. 6 is a flowchart showing a procedure of performing the RBM for the thermal power plant Y. The boiler maker M creates a maintenance plan for the boiler X by performing the RBM on the thermal power plant Y according to the procedure shown in FIG. 6 by using the maintenance management support device.
[0038]
That is, in step S1 (inventory creation), diagnostic target parts of the thermal power plant Y are extracted and classified hierarchically, and relevant information of each diagnostic target part, that is, design information (material data, design drawings, etc.), operation information It also investigates and collects inspection information, material information, etc., creates a database, and defines the damage mechanism of each diagnosis target site. Of such relevant information of each diagnosis target part, the design information is registered in the design information database 3 for each diagnosis target part, and the driving information is acquired by the communication unit 5 and is transmitted through the RBM calculation unit 7. It is registered in the driving information database 4.
[0039]
As a result of creating this list, the unit damage amount and the power outage period for searching the power outage period evaluation table 1a, the boiler repair cost evaluation table 1b, the other repair cost evaluation table 1c, and the human disaster evaluation table 1d are searched. The size (small and large) and the magnitude of damage of all the diagnosis target parts other than the boiler are clarified.
[0040]
Then, in step S2, various experts discuss the evaluation index based on the result of the inventory creation, and the evaluation index related to “probability of damage” is determined for each diagnosis target site. Among the evaluation indexes of “probability of damage” for each of the diagnosis target parts, “probability of damage” caused by the operation state of the thermal power plant Y is automatically determined by using the maintenance management support device. Is calculated.
[0041]
That is, the RBM calculation unit 7 retrieves the operation state evaluation database 2 based on the operation information registered in the operation information database 4 to obtain an evaluation index related to the operation state of each diagnosis target portion and stores the evaluation index therein. I do. For example, for the boiler X that is a maintenance target, the RBM calculation unit 7 searches the operating temperature evaluation table 2a and the operation output history evaluation table 2b based on the operation information of the boiler X registered in the operation information database 4. To obtain an evaluation index related to the operating state of the boiler X.
[0042]
Subsequently, step Sa is a process of automatically calculating an evaluation index for “magnitude of damage” that is paired with the evaluation index for “probability of damage” using the maintenance management support device. In this step Sa, first, the necessary information to be searched, that is, the unit damage amount and the power outage period required for searching the power outage period evaluation table 1a, the boiler repair cost evaluation table 1b, the other repair cost evaluation table 1c, and the human disaster The scale and the magnitude of the damage of all the parts to be diagnosed including the boiler for searching the evaluation table 1d are input from the operation unit 6 to the RBM calculation unit 7 (Step S3). Then, when all of the necessary search information is input, the RBM calculation unit 7 searches the damage evaluation database 1 based on the necessary search information, and performs various evaluations from the damage evaluation table for each diagnosis target site. An index is read (step S4).
[0043]
That is, when the unit damage amount (for example, 20 million yen / day) and the power outage period (for example, 50 days or more) are input as the necessary information to be searched for in the power outage period evaluation table 1a, “1” as the corresponding evaluation index is input. Is read out from the power suspension period evaluation table 1a and output to the RBM operation unit 7. Further, for example, as for the boiler X which is one of the diagnosis target parts, the scale of the boiler X is “large boiler” and the magnitude of the damage is “1 billion yen to 5 billion yen” as the search necessary information of the boiler repair cost evaluation table 1b. When “yen” is specified, “0.4” as the evaluation index is read from the boiler repair cost evaluation table 1b and output to the RBM calculation unit 7.
[0044]
In addition, when the scale of the boiler X is specified as “large boiler” and the magnitude of damage is specified as “100 million to 500 million yen” as the search necessary information of the other repair cost evaluation table 1c, “ "0.20" is read from the other repair cost evaluation table 1c and output to the RBM operation unit 7. Furthermore, when the scale of the boiler X is designated as “large boiler” and the magnitude of damage is designated as “wide area” as search necessary information of the human disaster assessment table 1d, “0.5” as an evaluation index is set. The information is read from the human disaster evaluation table 1d and output to the RBM operation unit 7.
[0045]
Then, when the RBM calculation unit 7 obtains various evaluation indices regarding “probability of damage” corresponding to the search-required information on each diagnosis target site, the evaluation index regarding the “probability of damage” is obtained. And the evaluation index for “probability of breakage” obtained in step S2 are mapped on a risk matrix for “probability of breakage” and “magnitude of damage” for each diagnosis target site (step S5). . Then, the RBM calculation unit 7 outputs this risk matrix to the output unit as a primary evaluation result of the RBM. Through the above steps S2 to S5, the primary evaluation for each diagnosis target site is completed.
[0046]
In step S6, the primary evaluation result is separately evaluated using the determination module. More specifically, the primary evaluation results are color-coded for each of the risk categories, that is, “acceptable”, “conditional allowance”, “plan change required”, and “allowable addition”, and maintenance priorities and inspection plans are formulated. Is done. FIG. 7 shows a risk matrix after the step S6. In this figure, the cross hatch area indicates “allowable addition”, the shaded area indicates “change in plan required”, the dot area indicates “conditional allowance”, and the non-decorative area indicates “allowable”.
[0047]
In step S7, the secondary evaluation (final evaluation) of each diagnosis target site is examined by discussion of various experts. In this secondary evaluation, various experts re-evaluate the results of the primary evaluation from a comprehensive perspective, including the interrelationships of the parts to be diagnosed and examples of other thermal power plants Y, and finalize the risk of each part. A typical evaluation result (secondary evaluation result) is determined.
[0048]
Now, the risk of the boiler X, which is a maintenance management target, is clarified as a part of the risk of each diagnosis target part configuring the thermal power plant Y by the RBM regarding the thermal power plant Y performed as described above. The boiler maker M formulates a maintenance plan for the boiler X according to the degree of the risk, and implements the maintenance plan without fail, thereby fulfilling the contract item A in the contract for the maintenance management operation described above.
[0049]
Further, the boiler maker M concludes a non-life insurance contract with the insurance company H on the maintenance and management of the boiler X based on the maintenance plan and the like (see FIG. 5). In the negotiations for the conclusion of the non-life insurance contract, insurance premiums are set based on the maintenance plan. At this time, the primary and secondary evaluation results that support the maintenance plan and the basis of the primary evaluation result In addition, the RBM basic information output from the maintenance management support device is used as basic data for determining an insurance premium. Such maintenance plans and basic materials are highly reliable information that only the boiler maker M who designed and manufactured the boiler X can present to the insurance company H. The insurance company H calculates a highly objective and appropriate insurance premium by applying such highly reliable information on the maintenance management of the boiler X to the Markov chain model. The boiler maker M thus fulfills the above-mentioned contract item B in the maintenance management work by concluding a non-life insurance contract regarding the maintenance and management of the boiler X with the insurance company H in this manner.
[0050]
According to the present embodiment, since the boiler maker M familiar with the boiler X performs the maintenance management of the boiler X according to the maintenance plan formulated based on the RBM, it is possible to realize the effective maintenance management of the boiler X. Further, since the boiler operator U does not need to perform the maintenance and management of the boiler X as in the related art, the boiler operator U can greatly reduce the maintenance and management cost related to the boiler X. Further, since the boiler maker M concludes a non-life insurance contract for the maintenance and management of the boiler X with the insurance company H, there is no need for the boiler operator U to conclude a non-life insurance contract as in the related art. In this regard, the maintenance management cost for the boiler X can be reduced. Further, the insurance premium is set based on the maintenance plan based on the RBM, the RBM basic information, and the like, so that both the boiler maker M and the insurance company H can find an appropriate insurance premium.
[0051]
Note that the present invention is not limited to the above embodiment, and for example, the following modifications can be considered.
(1) In the above embodiment, the boiler X for formulating a maintenance plan also employs the RBM as a diagnostic method, but the present invention is not limited to this. Any other method may be used as long as it is a method of diagnosing equipment that is more reliable than or equal to the RBM.
(2) In the above embodiment, the boiler X operated in the thermal power plant Y is set as a maintenance target, but the maintenance target is not limited to this. Other equipment operated in the thermal power plant Y may be used.
[0052]
【The invention's effect】
As described above, according to the present invention, a facility maker drafts a maintenance plan for a facility based on a predetermined diagnostic method and concludes a non-life insurance contract for the facility with an insurer based on the maintenance plan. In addition, since the maintenance and management of the equipment including the guarantee of the equipment concerned is entrusted and practiced from the equipment operator, effective maintenance management of the equipment can be realized and the maintenance management cost for the equipment operator can be reduced. In addition, it is possible to set an appropriate insurance premium for equipment.
[Brief description of the drawings]
FIG. 1 is a block diagram illustrating a functional configuration of a maintenance management support device according to an embodiment of the present invention.
FIG. 2 is a table showing a data structure of a power stop period evaluation table 1a according to the embodiment of the present invention.
FIG. 3 is a table showing a data structure of a boiler repair cost evaluation table 1b and another repair cost evaluation table 1c according to the embodiment of the present invention.
FIG. 4 is a table showing a data structure of a human disaster evaluation table 1d according to the embodiment of the present invention.
FIG. 5 is a schematic diagram showing features of a maintenance management method according to an embodiment of the present invention.
FIG. 6 is a flowchart illustrating a procedure of performing an RBM according to an embodiment of the present invention.
FIG. 7 is a schematic diagram showing a risk matrix color-coded by a risk category according to an embodiment of the present invention.
[Explanation of symbols]
1 ... Damage evaluation database
2 …… Operation state evaluation database
3. Design information database
4 …… Operation information database
5 Communication section
6 Operation unit
7 RBM operation unit
8 Output section
X ... Boiler
Y: Thermal power plant
U: Boiler operator (equipment operator)
M: Boiler maker (equipment maker)
H …… Insurer (insurer)

Claims (4)

The equipment maker (M) drafts a maintenance plan for the equipment (X) based on a predetermined diagnosis method, and concludes a non-life insurance contract with the insurer (H) for the equipment (X) based on the maintenance plan. And a maintenance management method for the equipment (X), including the guarantee of the equipment (X), which is performed by the equipment operator (U). The equipment maker (M) sequentially obtains the operation information indicating the operation state of the equipment (X) from the equipment operator (U) as one of the information necessary for the diagnostic method, and based on the operation information thus obtained. 2. The maintenance management method for equipment according to claim 1, wherein a maintenance plan for the equipment (X) is drawn up. 3. The equipment maintenance management method according to claim 1, wherein the diagnosis method is a risk based maintenance (RBM) method. The equipment maintenance management method according to any one of claims 1 to 3, wherein the equipment (X) is a boiler.

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