KR20160093119A - Asset management system and method for electric power apparatus - Google Patents

Abstract

The present invention relates to a power facility asset management system. The power facility asset management system of the present invention includes a data acquisition unit for collecting power facility data, (DB) unit for making a database (DB), and the risk is evaluated using the data stored in the database of the database unit, the evaluation index is calculated for each sub-evaluation item for evaluating the risk, and the weight a risk assessment section that evaluates the risk by applying the risk assessment result and a decision to determine a maintenance scenario for the power facility based on the risk assessment result and the cost analysis (life cycle cost) (Decision-Making) unit and a decision-making unit It shall not include the entire repair process management unit maintenance for power plants that run plan to establish such a plan and budget plan to run on the basis of each unit by importance (Work) in accordance with. According to the present invention, in evaluating the electric power facility risk, it is possible to calculate the electric power facility asset management in consideration of social risks such as environmental pollution, corporate image, public opinion, etc. by calculating the evaluation index in consideration of social risks such as society and environment It is effective.

Description

[0001] The present invention relates to an asset management system and method,

The present invention relates to a power facility asset management system and method, and more particularly, to a power facility asset management system including a method of evaluating a risk of a power facility.

As the industry develops, dependency on electricity in industrial and general households is increasing day by day. In addition, when electric power accidents occur due to the power plant 's failure due to enlargement, densification and multifunctionality of electric power facilities, its economic and industrial damage is enormous . Especially, in the high-precision industry where the quality of the electric power supplied to the production facilities of the industry such as the semiconductor greatly affects the performance or the defect rate of the produced product, even a small failure of the electric power facility can cause a great loss, It is a fact that is demanded. However, the existing maintenance method was inefficient in terms of cost because maintenance was carried out according to the schedule irrespective of the state of the equipment, and there was a limit in preventing the failure of the equipment. As a result, efficient and economical maintenance method for electric power facilities is carried out by integrating the risk management system including substation asset management system including risk assessment and risk assessment system through operation history, diagnosis history, maintenance history and economic risk of electric power facilities. Maintenance methods and systems are attracting attention.

Since substation substation facilities have a very long life span of several decades and are a very important facility to supply electricity throughout society and industry, safety and reliability are important, and optimization of long-term maintenance plans to maintain such safety / reliability Asset management is required.

In the conventional power facility asset management, only the technical and economic risk index is evaluated. The contents of social and environmental problems are not included in the index.

In addition, in the conventional electric power facility asset management, the final EI index value is calculated through the sum of the weight and the product of the multi-level data values by the detail item, and this value is used as an index for decision making, There is a problem that it is difficult to optimize the weight value because there are too many weight values. That is, since there is an error in the final EI value, it is complicated and difficult to find and correct the cause.

Korean Patent No. 10-1092883

SUMMARY OF THE INVENTION It is an object of the present invention to provide a power facility asset management system capable of calculating an evaluation index including social risks.

In addition, the present invention provides a method for evaluating the health status, life span, health index, economic risk assessment, social risk assessment index, and applying the maintenance method (normal, There are other objectives to provide a power facility asset management system that selects short-term work plans and budget plans, selects refurbishment, retrofit, etc.

The objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood by those skilled in the art from the following description.

In order to achieve the above object, a power facility asset management system according to the present invention includes a data acquisition unit for collecting power facility data, a database for converting data acquired by the data acquisition unit into a database, The risk assessment is performed by using the data stored in the wealth database to calculate the evaluation index for each sub-evaluation item for evaluating the risk, and applying the weight to the calculated evaluation index to evaluate the risk. A decision section for deciding a maintenance scenario for the electric power facility on the basis of the risk assessment result and the life cycle cost and the maintenance method, Maintain the maintenance of the entire power equipment according to the equipment maintenance method. And it includes an action plan (Work) to plan and execute budget plans based on the respective device-specific priorities.

Power plant data, including transformers and gas breakers, may include past operational and maintenance history data, real-time condition monitoring data, SCADA data, field test and inspection data.

The power equipment data is collected by the data acquisition unit, and the data collected by the data base unit is converted into a database. The Risk Assessment Department evaluates the risk based on the database of the collected power plant data base and the database (SAP, ERP, etc.) related to the manufacture and production of the power plant manufacturer and the life cycle of each power plant . The subordinate items are classified into five categories: state evaluation, life evaluation, health index evaluation, economic risk assessment, and social risk evaluation. The risk evaluation section calculates the evaluation index for each of the five items, The risk can be assessed by applying a weight to the rating index.

The decision unit may determine the maintenance method of each device based on the risk level of each device evaluated by the risk assessment unit and the cost analysis result of the device.

The cost analysis of the device can be analyzed through the predicted life cycle cost of the device and the estimated cost of each maintenance method.

The above maintenance methods include normal (regular monitoring), normal inspection, precision inspection, rationalization (retrofit, facility refurbishment), and facility replacement.

The execution plan unit can establish a maintenance execution plan and a budget plan of the entire electric power facility managed by the user based on the result of selecting the maintenance method for each device in the decision unit.

The maintenance execution plan may include a step of selecting a priority according to the importance in the entire facility and then establishing a maintenance execution plan for each device according to the selected priority.

Based on the maintenance execution plan, a budget plan for power equipment management by each device, month, and year can be established.

The weight can be optimized by adjusting the weight by applying a weight to the exponent used in the risk assessment unit, decision unit, and execution plan unit.

The weight adjustment can be adjusted by the equipment manufacturer, the facility operation manager, and the asset management system person / technician.

The above index includes the status, life cycle, health, economic risk, social risk, life cycle cost of the decision making department, costs required for each maintenance method, and importance of the execution plan department.

In the power facility asset management method in the electric power facility asset management system of the present invention, the electric power facility asset management method includes a data acquisition step for collecting electric power facility data, a database step for converting the data acquired in the data acquisition step into a database, The database is used to evaluate the risk by using data stored in the database. The evaluation index is calculated for each sub-item for evaluating the risk, and the risk is evaluated by applying a weight to the calculated evaluation index A decision step of determining a maintenance scenario for a power facility based on a risk assessment step, a risk assessment result, and a life cycle cost, which is a cost for each maintenance method, Depending on the maintenance method determined in the step, Planning to run the maintenance of the ratio based on the respective device-specific priority, and includes the execution plan (Work) establishing a budget.

The power plant data may include past operational and maintenance history data, real-time status monitoring data, SCADA data, field test and inspection data.

The power facility data may be collected in the data acquisition step, and the data collected in the database creation step may be converted into a database.

In the risk assessment stage, risks can be assessed based on the collected power plant database, the database related to the manufacture and production of the power equipment manufacturer, and the database on the life cycle of each power plant.

The sub-evaluation items are composed of five items of a state evaluation, a life assessment, a health index evaluation, an economic risk assessment, and a social risk assessment item. The risk assessment step calculates an evaluation index for each of the five items, Weights can be applied to each evaluation index to evaluate risk.

The decision step may determine the maintenance method of each device based on the risk level of each device evaluated in the risk assessment step and the cost analysis result of the corresponding device.

The cost analysis of each of the above devices can be analyzed through the predicted life cycle cost of the corresponding device and the predicted cost of each maintenance method.

The maintenance method may include rationalization work and equipment replacement including normal, normal check, precision check, retrofit, and refurbishment.

The execution plan step may establish a maintenance execution plan and a budget plan of the entire electric power facility managed by the user based on the result of selecting the maintenance method for each device in the decision step.

The maintenance execution plan may include a step of selecting a priority according to the importance in the entire facility and then establishing a maintenance execution plan for each device according to the selected priority.

Based on the maintenance execution plan, a budget plan for power equipment management by each device, month, and year can be established.

The weight can be optimized by adjusting the weights by applying a weight to the exponent used in the risk assessment step, the decision making step, and the execution plan step.

The weights may be adjusted by a person including a facility builder, a facility operation manager, an asset management system person or a technician.

The index represents the status, life span, health, economic risk, social risk, life cycle cost of the decision step, cost per maintenance method, and importance of the execution plan stage of the risk assessment step .

According to the present invention, in evaluating the electric power facility risk, the evaluation index is calculated in consideration of the social risks of the society and the environment, so that the electric power consumption can be reduced by taking the social risks such as environmental pollution, It is effective to manage facility assets.

Further, according to the present invention, it is possible to easily optimize the weight value by applying a weight to each index for evaluating the state, life span, soundness, economic risk, and social risk, and applying five evaluation indices to the same step .

1 is a block diagram illustrating a concept of a power plant asset management system according to an embodiment of the present invention.
2 is a flowchart illustrating a procedure in a power facility asset management system according to an embodiment of the present invention.
3 is an exemplary diagram illustrating a decision making process according to an embodiment of the present invention.
4 and 5 are exemplary diagrams for explaining an execution plan according to an embodiment of the present invention.

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the invention is not intended to be limited to the particular embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

The terminology used in this application is used only to describe a specific embodiment and is not intended to limit the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the terms "comprises" or "having" and the like are used to specify that there is a feature, a number, a step, an operation, an element, a component or a combination thereof described in the specification, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted in an ideal or overly formal sense unless expressly defined in the present application Do not.

In the following description of the present invention with reference to the accompanying drawings, the same components are denoted by the same reference numerals regardless of the reference numerals, and redundant explanations thereof will be omitted. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail.

1 is a block diagram illustrating a concept of a power plant asset management system according to an embodiment of the present invention.

1, the electric power facility asset management system of the present invention includes a data acquisition unit 100, a database unit 200, a risk assessment unit 300, a decision- (400), and an execution plan (Work) unit (500).

The data acquisition unit 100 collects power plant data 110 to 160 including a transformer and a gas circuit breaker.

The data acquisition unit 100 of the present invention is configured such that the transformer has the history data 110, the online condition diagnosis data 120, the test and inspection data 130, the history data 140 of the gas circuit breaker, ) And the test and inspection data 160 are acquired.

In the present invention, the power plant data including the transformer and the gas breaker may include past operating and maintenance history data, real-time condition monitoring data, SCADA data, field test and inspection data.

The database unit 200 serves to convert the data acquired by the data acquisition unit 100 into a database. The database unit 200 includes an asset DB 210, a service access point (SAP) 220, and a life cycle DB 230.

The risk evaluation unit 300 evaluates the risk using the data stored in the database of the database unit 200. The risk assessment unit 300 calculates an evaluation index for each sub-evaluation item for evaluating the risk, calculates a weight for the calculated evaluation index, To assess risk.

In one embodiment of the present invention, the risk assessment unit 300 includes a condition assessment 310, a lifecycle assessment 320, a health index assessment 330, an economic risk assessment An Economic Risk Assessment (340), and a Societal Risk Assessment (350). In the present invention, social risk is a concept including factors such as environmental pollution, corporate image, public opinion, and the like.

The decision making unit (400) determines a maintenance scenario for the power plant based on the result of the risk assessment.

The execution plan unit 500 establishes a plan to perform maintenance on the electric power facility in accordance with the maintenance scenario determined by the decision unit 400. [ For example, the execution plan unit 500 can predict the failure of the power equipment, establish an annual maintenance plan such as inspection, renewal, replacement, and establish a maintenance annual budget plan.

In the present invention, the sub-evaluation items consist of five items: a state evaluation 310, a life evaluation 320, a soundness index evaluation 330, an economic risk assessment 340, and a social risk assessment 350 item.

In the present invention, social risk is a concept including factors such as environmental pollution, corporate image, public opinion, and the like.

The risk evaluation unit 300 calculates an evaluation index for each of the five items and evaluates the risk by applying a weight to each calculated evaluation index. For example, the condition evaluation unit 310 for the for W _C (312) for applying the weight, and life assessment 320 apply W _L (322) weight, and the sound indices evaluated (330) W _H ( 332) is an expression for applying weighting, and for economic risk rating 340 W applied to _E (342) weight, applying the W _S (352), weights for social risk assessment 350.

In the present invention, the risk assessment unit 300 reflects the application of the W _LCC (12) weight to the life cycle cost (LCC) item (10) for each equipment constituting the power facility asset management system, Can be evaluated.

In addition, in the present invention, the risk evaluation unit 300 may evaluate the risk by reflecting the application of the W _SC (22) weight to the cost analysis item 20 for each maintenance scenario.

In the present invention, it is preferable to optimize the data according to the field environment based on the data collected by the data acquisition unit 100 according to the opinions of the experts of the electric power facility asset management system and the opinions of the manager or the field engineer of the customer Do.

The electric power facility asset management system of the present invention can classify the individual facilities, the same specification, design, production, material, and production application equipments to form a population and thereby evaluate the risk (technical, economic and social risk).

In addition, the present invention provides maintenance priorities, maintenance scenarios, refurbishment, replacement, and new investment decisions based on risk assessment, and provides internal state and / The results are fed back to the same population to reassess and update the risk, and to continuously manage and evaluate the power plant risk.

2 is a flowchart illustrating a procedure in a power facility asset management system according to an embodiment of the present invention.

2, in the power plant asset management system according to the present invention, the data acquisition unit 100 acquires the history data 110 and 140 of the transformer and the breaker, the status diagnosis data 120 and 150, And acquires the data 130 and 160 (S210).

Then, based on the acquired data, the data is converted into a database (S220).

Then, the risk is evaluated using the data stored in the database (S230).

In an embodiment of the present invention, on-line data, off-line data, historical data, operating environment, operation history, failure ripple effect, Data can be used to assess the health risks of each facility by calculating health indices, facility status, life assessment, economic risk assessment, and social risk.

The following is a decision step for determining the maintenance scenario for the electric power facility based on the result of the risk evaluation (S240). For example, maintenance scenarios may include scenarios such as 1) normal, 2) inspection (usually, precision), 3) Renewal (Refurbishment, Retrofit), and 4) replacement.

3 is an exemplary diagram illustrating a decision making process according to an embodiment of the present invention.

3, the horizontal axis represents the total risk and the vertical axis represents the total cost. Here, the formula for calculating total risk and total cost is as follows.

Total Risk = W _C × Assessment of Status + W _L × Life Assessment + W _H × Evaluation of Integrity Index + W _E × Economic Risk Assessment + W _S × Social Risk Assessment

Total cost = W _LCC × LCC + W _{SC per} device × Cost per scenario

Referring to FIG. 3, the scenario 1 is a normal state and is normally monitored and displayed in green. Scenario 2 is an inspection state, which is a normal check, a precision check, and the like. The scenario 3 is in a Renewal state. Scenario 4 is in a replacement state and is marked in red.

Next, a plan to perform maintenance on the power equipment is established according to the determined maintenance scenario (S250). For example, in step S250, annual scheduling is performed to predict equipment failure, and 1) a maintenance plan, 2) a renewal plan, and 3) a replacement plan are established. At this time, the plan can be established in consideration of the importance (30) per device.

The execution plan step of S250 establishes a plan to perform maintenance on the power plant according to the maintenance scenario determined in the decision step S240. For example, in the execution plan step (S250), it is possible to predict the failure of the electric power facility, establish a maintenance annual plan such as inspection, renewal, replacement, and establish a maintenance annual budget plan.

4 and 5 are exemplary diagrams for explaining an execution plan according to an embodiment of the present invention.

4 (a) is a chart showing importance, and (b) is a chart showing a maintenance plan.

5 is a diagram showing a maintenance budget plan. In FIG. 5, the maintenance budget for each year and equipment is recorded.

In FIG. 5, the numbers indicate budget amounts. Scenario 1 is a normal state, and is always monitored. Green is displayed. Scenario 2 is an inspection state. Normal check, precision check, and the like are displayed in yellow. Scenario 3 is a renewed state and displayed in orange. 4 is replaced and marked in red.

Referring to FIG. 5, it is confirmed that the minimum budget of 10 is required in scenario 1, 20 is budgeted in scenario 2, 100 is budgeted in scenario 3, and 200 is budgeted in scenario 4 .

While the present invention has been described with reference to several preferred embodiments, these embodiments are illustrative and not restrictive. It will be understood by those skilled in the art that various changes and modifications may be made therein without departing from the spirit of the invention and the scope of the appended claims.

100 data acquisition unit 200 database unit
300 Risk Assessment Department 400 Decision Department
500 Execution Planning Department

Claims (28)

A data acquisition unit for collecting power facility data;
A database unit for converting the data acquired by the data acquisition unit into a database;
The risk evaluation is performed by using the data stored in the database of the database unit to evaluate the risk, calculating an evaluation index according to the detailed evaluation items for evaluating the risk, and applying a weight to the calculated evaluation index to evaluate the risk Risk Assessment Department;
A decision-making unit for determining a maintenance scenario for the electric power facility on the basis of the risk assessment result and a cost cycle (Cost Cycle Cost) according to the maintenance method; And
An execution plan work section for establishing a plan to perform maintenance on the entire power equipment to be managed in accordance with the maintenance method for each device determined by the decision section on the basis of the importance of each device,
A power plant asset management system comprising:
The method according to claim 1,
Wherein the power plant data includes past operational and maintenance history data, real-time status monitoring data, SCADA data, field test and inspection data.
The method according to claim 1,
Wherein the power facility data is collected by the data acquisition unit and the data collected by the database unit is converted into a database.
The method according to claim 1,
Wherein the risk assessment section evaluates the risk based on the collected power plant database, a database relating to the manufacture and production of the power equipment manufacturer, and a database on the life cycle of each power plant, system.
The method according to claim 1,
These sub-items consist of five items: state assessment, life assessment, health index evaluation, economic risk assessment, and social risk assessment.
Wherein the risk assessment unit calculates an evaluation index for each of the five items and evaluates the risk by applying a weight to each of the calculated evaluation indexes.
The method according to claim 1,
Wherein the decision unit determines the maintenance method of each device based on the risk level of each device evaluated by the risk assessment unit and the cost analysis result of the device.
The method of claim 6,
Wherein the cost analysis of each of the devices can be analyzed through a predicted value of a life cycle cost of the device and a predicted value of the cost according to each maintenance method.
The method of claim 6,
Wherein the maintenance method includes rationalization and facility replacement including normal, normal check, fine check, retrofit, and refurbishment.
The method according to claim 1,
Wherein the execution plan unit is capable of establishing a maintenance execution plan and a budget plan for the entire electric power facility managed by the user based on a result of selecting the maintenance method for each device in the decision unit, .
The method of claim 9,
Wherein the maintenance execution plan includes a step of selecting a priority according to the importance in the entire facility and then establishing a maintenance execution plan for each equipment according to the selected priority.
The method of claim 10,
And a budget plan for managing power facilities according to each device, month, and year can be established based on the maintenance execution plan.
The method according to claim 1,
Wherein the optimization is performed by adjusting a weight by applying a weight to an index used in the risk assessment unit, the decision unit, and the execution plan unit.
The method of claim 12,
Wherein the weights are adjusted by a person including an equipment manufacturer, a facility operation manager, an asset management system person or a technician.
The method of claim 12,
The index includes the status, life span, soundness, economic risk, social risk of the risk assessment unit, life cycle cost of the decision-making department, cost for each maintenance method, and importance of execution plan A power facility asset management system characterized by.
In a power facility asset management method in a power facility asset management system,
A data acquiring step for acquiring power facility data;
A database step of converting the data acquired in the data acquisition step into a database;
The database is used to evaluate the risk by using data stored in the database. The evaluation index is calculated for each sub-item for evaluating the risk, and the risk is evaluated by applying a weight to the calculated evaluation index. Risk Assessment;
A decision-making step of determining a maintenance scenario for the electric power facility on the basis of the risk assessment result and the life cycle cost, which is a cost for each maintenance method; And
A work plan for establishing a plan to perform maintenance on the entire power equipment to be managed in accordance with the maintenance method determined in the decision step, on the basis of the importance of each equipment, and establishing a budget plan
The method comprising the steps of:
16. The method of claim 15,
Wherein the power plant data includes past operating and maintenance history data, real-time status monitoring data, SCADA data, field test and inspection data.
16. The method of claim 15,
Wherein the power facility data is collected in the data acquisition step and the data collected in the database creation step is converted into a database.
16. The method of claim 15,
In the risk assessment step, the risk level is evaluated based on the collected electric power facility database, the database relating to manufacture and production of the electric power equipment manufacturer, and the life cycle of each electric power facility. Way.
16. The method of claim 15,
These sub-items consist of five items: state assessment, life assessment, health index evaluation, economic risk assessment, and social risk assessment.
Wherein the risk evaluation step calculates an evaluation index for each of the five items and evaluates the risk by applying a weight to each of the calculated evaluation indexes.
16. The method of claim 15,
Wherein the decision making step determines the maintenance method of each device based on the risk of each device evaluated in the risk assessment step and the cost analysis result of the device.
The method of claim 20,
Wherein the cost analysis of each of the devices can be analyzed through a predicted value of life cycle cost of the device and predicted cost of each maintenance method.
The method of claim 20,
Wherein the maintenance method includes rationalization and facility replacement including normal, normal check, fine check, retrofit, and refurbishment.
16. The method of claim 15,
Wherein the execution planning step is capable of establishing a maintenance execution plan and a budget plan of the entire electric power facility managed by the user on the basis of the result of selecting the maintenance method for each device in the decision making step, Way.
24. The method of claim 23,
Wherein the maintenance execution plan includes a step of selecting a priority according to the importance in the entire facility and then establishing a maintenance execution plan for each equipment according to the selected priority.
27. The method of claim 24,
And a budget plan for managing power equipment according to each device, month, and year can be established based on the maintenance execution plan.
16. The method of claim 15,
Wherein the optimization is performed by adjusting a weight by applying a weight to an index used in the risk assessment step, the decision step, and the execution plan step.
27. The method of claim 26,
Wherein the weights are adjusted by a person including an equipment manufacturer, a facility operation manager, an asset management system person or a technician.
27. The method of claim 26,
The index represents the status, life span, health, economic risk, social risk, life cycle cost of the decision step, cost per maintenance method, and importance of the execution plan stage of the risk assessment step Wherein the electric power plant asset management method comprises the steps of:

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