APPARATUS AND A METHOD FOR DETERMINING A MAINTENANCE PLAN

• US 20130262190A1
• Filed: 12/11/2012
• Published: 10/03/2013
• Est. Priority Date: 03/27/2012
• Status: Abandoned Application

• Current Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Original Assignee: Makoto Sato
• Inventors: Hasegawa, Yoshiaki, SATO, Makoto, Nagasaka, Mari
• Application Number:
  US13/710,656
• Publication Number:
  US 20130262190A1
• Time in Patent Office: Days
• US Class Current: 705/7.36
• CPC Class Codes: G05B 2219/31337 Failure information database
• CPC Class Codes: G05B 23/0283 Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL] preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals

Abstract

Maintenance actions, maintenance costs each differently corresponding to each maintenance action, a reference strategy and a fault model, are stored. If a system is maintained by each maintenance action at a first timing, if the system is degraded by the fault model from the first timing to a predetermined timing, and if the system is maintained by the reference strategy from a second timing after passing a predetermined period from the first timing to the predetermined timing, at least one search timing is set into a search period from the first timing to the second timing. A maintenance action value of each maintenance action is calculated at the search timing, based on an output and the maintenance cost of the system maintained from the first timing to the predetermined timing. An optimum maintenance action is selected from the maintenance actions, based on the maintenance action value of each maintenance action.

Claims

1. An apparatus for determining a maintenance plan, comprising:

a maintenance action and cost database to store a plurality of maintenance actions executable for a system and a plurality of maintenance costs each differently corresponding to each of the plurality of maintenance actions;

a reference strategy database to store a reference strategy determining a maintenance action to be executed for the system, based on a degradation or an output of the system;

a fault model database to store a fault model stochastically representing an occurrence of the degradation;

a simulation unit configured, if the system is respectively maintained by each maintenance action at a first timing, if the system is degraded by the fault model from the first timing to a predetermined timing, and if the system is maintained by the reference strategy from a second timing after passing a predetermined period from the first timing to the predetermined timing, to set at least one search timing in a search period from the first timing to the second timing, and to calculate a maintenance action value of each maintenance action at the search timing, based on the output and a maintenance cost corresponding to the maintenance action by which the system is maintained from the first timing to the predetermined timing; and

a maintenance plan search unit configured to select an optimum maintenance action from the plurality of maintenance actions, based on the maintenance action value of each maintenance action.

2. The apparatus according to claim 1, further comprising:

a selling price database to store a selling price of a unit output of the system;

wherein the maintenance action value is calculated by multiplying the output with the selling price and by subtracting the maintenance cost from a product of the output and the selling price.

3. The apparatus according to claim 1, further comprising:

a reference strategy long term simulation unit configured to simulate each transition of the output and the maintenance cost based on the fault model and the reference strategy in a life cycle period of the system from an initial state of the system, and to acquire output data and maintenance cost data based on a simulation result;

wherein, if the system is degraded and maintained by the fault model and the reference strategy from the second timing to the predetermined timing,

the simulation unit acquires each transition of the output and the maintenance cost by using the output data and the maintenance cost data.

4. The apparatus according to claim 3, wherein

the reference strategy long term simulation unit acquires the output data and the maintenance cost data of each subsystem able to be divided from the system by the maintenance action, and

the simulation unit processes the each subsystem when the system is divided into the each subsystem.

5. The apparatus according to claim 1, wherein

the simulation unit searches the optimum maintenance action at the second timing as the search timing, and maintains the system by the reference strategy from the first timing to the second timing.

6. The apparatus according to claim 5, further comprising:

a reference strategy long term simulation unit configured to simulate each transition of the output and the maintenance cost based on the fault model and the reference strategy in a life cycle period of the system from an initial state of the system, and to acquire output data and maintenance cost data based on a simulation result;

wherein the simulation unit,

(1) if the reference strategy is executed from the first timing to the second timing, and if the simulation result by the reference strategy long term simulation unit is used from the first timing to the second timing, calculates a fault tolerance state value based on each difference between both outputs and between both maintenance costs of the system,

(2) if the optimum maintenance action is executed from the first timing to the second timing, and if the reference strategy is executed from the first timing to the second timing, calculates a maintenance validity state value based on each difference between both outputs and both maintenance costs of the system,

(3) calculates a reference strategy state value based on partial data from a third timing when the output is first acquired after maintaining at the first timing to a fourth timing corresponding to the predetermined timing among the output data, and partial data from the third timing to the fourth timing among the maintenance cost data, and

calculates the maintenance action value by subtracting the maintenance cost from a sum of the reference strategy state value, the fault tolerance state value and the maintenance validity state value.

7. The apparatus according to claim 6, wherein

the simulation unit calculates the fault tolerance state value by multiplying a first value based on the each difference at (1) with a ratio of a time length between the first timing and the predetermined timing to a time length between the first timing and the second timing, and calculates the maintenance validity state value by multiplying a second value based on the each difference at (2) with the ratio.

8. The apparatus according to claim 7, further comprising:

a selling price database to store a selling price of a unit output of the system;

wherein the simulation unit calculates the first value by multiplying the difference between both outputs at (1) with the selling price and by subtracting the difference between both maintenance costs at (1) from a product of the difference between both outputs at (1) and the selling price, and calculates the second value by multiplying the difference between both outputs at (2) with the selling price and by subtracting the difference between both maintenance costs at (2) from a product of the difference between both outputs at (2) and the selling price.

9. The apparatus according to claim 1, wherein

the system is a photovoltaic power generation system, and

the output is a power generation.

10. The apparatus according to claim 9, wherein

the photovoltaic power generation system includes a PV module array in which a plurality of strings is connected in parallel, each string including a plurality of PV modules connected in serial, and

the maintenance action includes replacement of the PV module and addition of a DC-DC converter to the string.

11. The apparatus according to claim 10, wherein

the fault model represents that a current or a voltage of the PV module is stochastically varied, and that a direct current of the PV module is stochastically raised.

12. A method for determining a maintenance plan, comprising:

reading a maintenance action and cost database that stores a plurality of maintenance actions executable for a system and a plurality of maintenance costs each differently corresponding to each of the maintenance actions;

reading a reference strategy database that stores a reference strategy determining a maintenance action to be executed for the system, based on a degradation or an output of the system;

reading a fault model database that stores a fault model stochastically representing an occurrence of the degradation;

if the system is respectively maintained by each maintenance action at a first timing, if the system is degraded by the fault model from the first timing to a predetermined timing, and if the system is maintained by the reference strategy from a second timing after passing a predetermined period from the first timing to the predetermined timing,

setting at least one search timing in a search period from the first timing to the second timing;

calculating a maintenance action value of each maintenance action at the search timing, based on the output and a maintenance cost corresponding to the maintenance action by which the system is maintained from the first timing to the predetermined timing; and

selecting an optimum maintenance action from the plurality of maintenance actions, based on the maintenance action value of each maintenance action.