KR102593165B1 - Maintenance service scheduling system using weather data - Google Patents

Abstract

The present invention relates to a maintenance service scheduling system using weather data. The maintenance service scheduling system using weather data according to an embodiment of the present invention is a facility information module that receives facility data regarding design information and maintenance conditions of a renewable energy power plant from a server and stores, manages, and updates the database. and a weather information module that calculates standard weather data by inputting accumulated weather data and weather forecast data provided by a weather station, and expected power generation when the washing service is performed at a renewable energy power plant and when the cleaning service is not performed. A station cost calculation module that calculates each, a price collection module that calculates expected electricity sales revenue, required costs, and overall expected profit based on the expected power generation calculated from the station cost calculation module, and a price collection module that calculates the expected power sales revenue, required costs, and overall expected profit, respectively, based on the station cost calculation module and the price collection module. It includes a function to determine whether to perform the cleaning service based on data, and includes a service management module that manages the cleaning service of the renewable energy power plant.

Description

Maintenance service scheduling system using weather data}

The present invention relates to a maintenance service scheduling system using weather data. In more detail, we use weather data to calculate maintenance costs, which are the costs required to maintain and manage a renewable energy power plant, and analyze them into costs for each service, utilizing weather data to optimize maintenance services. It is about maintenance work scheduling system.

Various types of power plants have been built and operated to produce electricity, and representative examples include thermal power plants and nuclear power plants.

A thermal power plant is a method of producing electricity through a steam turbine by burning oil or coal, and a nuclear power plant is a method of producing electricity using the energy generated during nuclear fission of atoms.

However, in the case of thermal power plants, oil or coal must be burned, so these fuels must be continuously supplied. However, preparations must be made for the depletion of fossil fuels such as oil or coal resources, and nuclear power plants must generate power with the risk of radioactive leaks, etc. Recently, new and renewable energy power plants such as solar power plants or wind power plants have been attracting attention as an alternative energy source to replace existing thermal power plants using oil or coal or nuclear power plants using nuclear fission of atoms. .

However, although these solar power plants and wind power plants do not use fuel, they require continuous maintenance of facilities, and if the maintenance costs of these facilities are overlooked, the economic feasibility of the power plants may decrease, making it difficult to sustain power generation. There is a problem.

To prevent this situation, many methods have been proposed to analyze the economic feasibility of various types of new and renewable energy power plants or to estimate maintenance costs.

Korean Patent No. 10-1269587 provides a solar power generation economic feasibility analysis system based on a geographic information system. In Korea Registered Patent No. 10-1269587, a condition data input step of storing geographic information data and power generation estimation condition data by region or point of geographic information in a database; A location area input step of inputting location information and area information that are the target of power generation prediction; A power generation calculation step of calculating power generation by reading condition data corresponding to location information; and a data display step of displaying the calculated power generation amount on a display, wherein the location area input step includes: a street number selection step in which street number selection information of geographic information is input; In the solar power generation economic feasibility analysis system control method including an area input step of inputting area information for installing a solar power generation device for the selected lot number, the area input step is: a space to install a solar power generation device on the map of the selected lot number. A polygon area input step of generating a polygon at a location (building or land) and calculating area data from the polygon size; An active object area input step of calculating area data of the selected building or land by selecting an activated building or land object at the location (building or land) where the solar power generation device is to be installed on the map of the selected lot; and a numerical area input step of calculating area data by inputting numerical data about the area of the location (building or land) where the solar power generation device is to be installed on the map of the selected lot. A method of controlling a solar power generation economic feasibility analysis system is disclosed, which includes one or more area input steps.

Korean Patent No. 10-1895274 provides a method and device for analyzing diagnostic results of new and renewable energy facilities. Korean Patent No. 10-1895274 includes a database storing technical information on renewable energy facilities; a work plan creation module that generates a work plan including inspection item information corresponding to a set work scope for the new and renewable energy facility based on the technical information; a control module that transmits the work plan to the mobile terminal of the worker through a transmission and reception module, and stores the inspection result information and repair result information for broken items received from the mobile terminal in the database in correspondence with the work plan; a report generation module that generates an inspection report for the renewable energy facility based on the inspection result information and maintenance result information; Includes failure analysis information that analyzes the failure items by analyzing the repair result information included in the plurality of inspection reports for the renewable energy equipment of the same type, and an analysis module that extracts issue information about the failure details. Thus, the control module reflects and stores the diagnostic content change information and the issue information for the failure item generated based on the failure analysis information in the respective work plans of the renewable energy equipment of the same type, The analysis module includes a failure mode analysis unit that generates the failure analysis information including a list of failure items, detailed causes, failure occurrence frequency, severity level, and types of response methods included in each of the above-mentioned maintenance result information, and the failure mode analysis unit It includes an issue creation unit that generates the issue information including classification of the worker's comment information for each item and a work planner's comment thereon, and the issue creation unit is additionally generated for the issue information within the inspection report unit. Provide an automatic summary table, indicate whether or not to pay attention to inspection by using different colors for each inspection item related to the failure item, provide a summary of the contents of the failure mode for the inspection item determined to be a failure during diagnosis, or Perform one or two or more of the following to extract the set inspection items that require additional inspection in relation to the above-mentioned failure item, but the diagnostic content change information includes whether the inspection item is required for the above-described failure item, inspection priority, or inspection cycle. It includes one or more information among the changes, and the inspection priority is selected based on the frequency and severity of the failure item, and the diagnostic content change information changed based on the inspection priority in the control module is included in the work plan. Disclosed is a device for analyzing the diagnosis results of renewable energy equipment that reflects the results and transmits them to the mobile phones of all workers who inspect the same type of renewable energy equipment through the transmitting and receiving module.

However, in the case of the conventional solar power generation economic analysis system or the diagnosis result analysis method and device for new and renewable energy facilities as described above, a method for analyzing the economic feasibility of a solar power plant is disclosed, or a method or device for analyzing the diagnosis results of new and renewable energy facilities is disclosed. However, there was a problem in that it did not provide a method to calculate maintenance costs of new and renewable energy power plants and optimize maintenance services through this.

Republic of Korea Patent Publication No. 10-1269587

The purpose of the present invention is to use weather data to calculate maintenance costs, which are the costs required to maintain and manage a renewable energy power plant, and to use weather data to optimize maintenance services by analyzing the costs for each service. The goal is to provide a maintenance service scheduling system.

In order to solve the above problems,

The maintenance service scheduling system using weather data according to an embodiment of the present invention is a facility information module that receives facility data regarding design information and maintenance conditions of a renewable energy power plant from a server and stores, manages, and updates the database. ;

A weather information module that calculates standard weather data by receiving accumulated weather data and weather forecast data provided by a weather station;

A service calculation module that calculates expected power generation when the renewable energy power plant performs the cleaning service and when the cleaning service is not performed, respectively;

A price collection module that calculates expected electricity sales revenue, required costs, and overall expected revenue based on the expected power generation calculated by the station cost calculation module; and

A service management module that includes a function to determine whether to perform a cleaning service based on data calculated from the service calculation module and the price collection module, and manages the cleaning service of the renewable energy power plant; may include.

In addition, in the maintenance service scheduling system using weather data according to an embodiment of the present invention, the weather information module determines whether the location of the renewable energy power plant and the location of the weather observatory are in the same area. do,

If the locations of the renewable energy power plant and the weather station are not the same, weather data and weather forecast data are provided from one or more weather stations located nearby based on the new and renewable energy power plant, and a virtual standard weather data virtual model is created. can be created.

In addition, in the maintenance service scheduling system using weather data according to an embodiment of the present invention, the expected power sales revenue of the price collection module is generated when a virtual standard weather data virtual model is generated in the weather information module, the virtual Calculate expected electricity sales revenue based on a virtual model of standard weather data,

If the virtual standard weather data virtual model is not created, the expected electricity sales revenue can be calculated based on the accumulated weather data and weather forecast data provided by the weather station.

In addition, in the maintenance service scheduling system using weather data according to an embodiment of the present invention, the service calculation module calculates the power generation increase effect index for each maintenance service and the service for each service, which is the ratio of the maintenance cost for each service. A service optimization module that calculates an efficiency index and determines maintenance service priorities in order of the size of the calculated service efficiency index; may include.

In addition, in the maintenance service scheduling system using weather data according to an embodiment of the present invention, the service efficiency index calculated from the service optimization module, service priority data, and standard weather data calculated from the weather information module Send to the price collection module,

The price collection module can calculate expected electricity sales revenue, required costs, and overall expected revenue based on expected power generation, service efficiency index, and service priority.

In addition, in the maintenance service scheduling system using weather data according to an embodiment of the present invention, the service calculation module is based on the service efficiency index and service priority data calculated by the service optimization module. When performing the washing service, the expected power generation amount is calculated and the calculated expected power generation amount is transmitted to the service management module,

The service management module calculates the power generation increase rate compared to the performance of the washing service by analyzing the expected power generation amount when performing the washing service and the expected power generation amount when the washing service is not performed. If the power generation increase rate is higher than the preset power generation increase rate in the server, the washing service can be performed. .

In addition, in the maintenance service scheduling system using weather data according to an embodiment of the present invention, the cost of the price collection module is the actual maintenance unit price for each station according to the conditions for each station, and the actual maintenance unit price for each station according to the conditions for each station. The maintenance occurrence probability can be applied separately, the maintenance cost for each service and the total maintenance cost can be calculated, and the total maintenance consumption cost can be calculated.

These solutions will become more apparent from the following detailed description of the invention based on the accompanying drawings.

Prior to this, the terms or words used in this specification and claims should not be interpreted in their usual, dictionary meaning, and the inventor may appropriately define the concept of the term in order to explain his or her invention in the best way. It must be interpreted with meaning and concept consistent with the technical idea of the present invention based on the principle that it can be done.

According to one embodiment of the present invention, errors due to environmental factors can be minimized by using a virtual standard weather data virtual model calculated from a weather information module, and in addition, data measured at a weather station and a renewable energy power plant can be used. Since weather data is utilized in consideration of geographical characteristics, there is an effect of improving the accuracy of expected power amount, sales revenue, maintenance consumption cost, and expected end-of-semester revenue.

Figure 1 is an example diagram showing a maintenance service scheduling system using weather data according to an embodiment of the present invention.
Figure 2 is a block diagram showing the components of a server of a maintenance service scheduling system using weather data according to an embodiment of the present invention.

Unique aspects and specific technical features of the present invention will become more apparent from the following detailed description and embodiments in conjunction with the accompanying drawings. In this specification, when adding reference numerals to components in each drawing, it should be noted that the same components are given the same reference numerals as much as possible even if they are shown in different drawings. Additionally, when describing an embodiment of the present invention, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the present invention, the detailed description will be omitted.

Additionally, when describing the components of the present invention, terms such as first, second, A, B, (a), and (b) may be used. These terms are only used to distinguish the component from other components, and the nature, order, or order of the component is not limited by the term. When a component is described as being “connected,” “coupled,” or “connected” to another component, that component may be directly connected or connected to that other component, but there is another component between each component. It will be understood that elements may be “connected,” “combined,” or “connected.”

Hereinafter, an embodiment of the present invention will be described in detail based on the attached drawings.

As shown in Figures 1 and 2, the maintenance service scheduling system using weather data according to an embodiment of the present invention includes a renewable energy power plant 10 including a power generation facility 11 and a renewable energy power plant. It includes a server (20) that operates and manages (10).

The server 20 is connected to the new and renewable energy power plant 10 through a wired and wireless network to operate and manage the power generated by the new and renewable energy power plant 10, and includes a facility information module 21 and a weather information module 22. , includes a service calculation module (23), a price collection module (25), and a service management module (26).

The facility information module 21 receives facility data regarding design information and maintenance conditions of the renewable energy power plant 10 from the user and stores, manages, and updates the facility data in the database 27 built into the server 20. Since the design specifications of the power generation equipment 11 are different for each manufacturer and the maintenance conditions are different for each manufacturer or each facility, the design information and maintenance conditions for each facility of the renewable energy power plant 10 may vary, so each of these Equipment data for each facility is stored, managed, and updated in the database 27.

The weather information module 22 requests weather data accumulated from one or more weather observatories 30 located near the renewable energy power plant 10 and weather forecast data predicted by the weather observatory 30 itself, and If (30) approves this, the above data can be provided, and standard weather data can be calculated based on the data provided by the weather station (30).

The standard weather data in the weather information module 22 can be determined as standard weather data when the location of the weather observatory 30 and the location of the new and renewable energy power plant 10 are located in the same area, for example, the weather observatory ( If the location of 30) and the location (or region) of the renewable energy power plant 10 are different, a virtual standard weather data virtual model can be created based on weather data provided by one or more weather stations 30.

Here, when weather data is provided from a weather station (30) located nearby based on the renewable energy power plant (10), an additive index is added in proportion to the distance between the new and renewable energy power plant (10) and the weather station (30). By additionally granting it, a virtual model of standard meteorological data can be created. At this time, the additive index may be a table previously stored in the database 27 of the server 20.

In addition, when a virtual model of standard weather data is created in the weather information module 22, it is determined that the locations of the weather station 30 and the renewable energy power plant 10 are different, and the virtual model of the standard weather data is used to maintain it. Maintenance service, expected power amount of power plant, and expected profit can be calculated. For example, if a virtual model of standard weather data has not been created, the locations of the weather station 30 and the renewable energy power plant 10 are determined to be the same, The value can be calculated using weather data provided by the weather station 30.

The service calculation module 23 can calculate the expected power generation when the washing service is performed at the renewable energy power plant 10 and when the washing service is not performed, respectively, and maintains the new and renewable energy power plant 10. The standard unit price table classifying the standard unit price for each service of the maintenance work according to the conditions for each service and the standard occurrence probability for each service of the maintenance work can be calculated and stored in the database 27.

There are a variety of external conditions that affect maintenance work, including environmental factors such as weather, as well as various factors such as the distance from maintenance personnel or equipment depending on the location of the power plant, the type or method of power plant equipment, and the size of the power plant. It can be a factor that affects maintenance work, and these factors that affect maintenance work can be reflected in various ways in the conditions for each service.

Diversity of service-specific conditions can occur in all maintenance tasks. For example, even in the maintenance service of cleaning PV panels, conditions for each service may include cases where manpower is directly deployed to perform the cleaning, cases where cleaning is performed using an automatic cleaning device, and cases where cleaning is performed using an automatic cleaning device. Even in the case of cleaning, there may be differences in the equipment type of the automatic cleaning device or the purchase or operating cost of the equipment, so there may be various conditions for each service.

In the maintenance service of replacing an inverter, there may be a maintenance service that replaces some modules while using a modular inverter, or there may be a maintenance service that replaces the entire inverter.

This service calculation module 23 calculates the service efficiency index for each service, which is the ratio of the power generation increase effect index for each maintenance service of the renewable energy power plant 10 and the maintenance cost for each service, and orders the size of the calculated service efficiency index. It may further include a service optimization module 24 that determines maintenance service priorities.

The power generation increase effect index in the station calculation module 23 is an index that shows the variation rate of power generation before and after maintenance completion by calculating the power generation before and after completion of maintenance for each service, for example, and comparing them. Assuming that it doubles compared to before and after, the power generation increase effect index can be 2.

That is, the service calculation module 23 calculates information necessary for calculating the price in the price collection module 25, such as the power generation increase efficiency index and service priority information, and this information is stored in the price collection module 25 as described above. ) can be transmitted to.

The price collection module 25 calculates the expected amount of power produced by the renewable energy power plant 10 based on data calculated from the station calculation module 23, the station optimization module 24, and the weather information module 22, respectively. Electricity sales revenue and maintenance costs can be calculated separately, and comprehensive expected revenue can be additionally calculated based on the calculated data.

In particular, the price collection module 25 can minimize errors due to environmental factors (weather, disasters, etc.) by utilizing the virtual standard weather data virtual model calculated by the weather information module 22, and additionally, the weather station ( Since weather data is utilized in consideration of the data measured in 30) and the geographical characteristics of the renewable energy power plant (10), the accuracy of expected power amount, sales revenue, maintenance consumption cost, and expected end-of-semester revenue can be improved. can be expected.

In addition, even if the weather forecast predicted by the weather station 30 is used, errors may occur if the geographical characteristics of the renewable energy power plant 10 and the weather station 30 are different. In order to minimize these errors, When each information is calculated using a virtual model of virtual standard weather data, the error rate is significantly reduced, so various information can be calculated in the price collection module 25 using the virtual model.

In addition, the service management module ( 26) may further be included.

The service management module 26 calculates the expected power generation amount when performing the washing service and the expected power generation amount when the washing service is not performed (or receives data calculated from the service calculation module), and performs comparative analysis based on the calculated data. , the rate of increase in power generation compared to the performance of cleaning services can be calculated. If the power generation increase rate compared to the above-described washing service performance is higher than the power generation increase rate preset in the server 20, the washing service of the renewable energy power plant 10 can be performed.

At this time, the order in which the washing service is performed at the renewable energy power plant 10 can be performed according to the service priority calculated by the service calculation module 23.

That is, according to one embodiment of the present invention, the expected power amount, sales amount, maintenance consumption cost, and overall expected profit can be calculated using a virtual standard weather data virtual model, and the error rate due to external environmental factors can be minimized. there is.

The present invention has been described in detail above through an example, but this is for the purpose of specifically explaining the present invention, and the maintenance service scheduling system using weather data according to the present invention is not limited to this. And terms such as “include,” “comprise,” or “have,” as used above mean that the corresponding component can be included unless specifically stated to the contrary, so excluding other components is not necessary. It should be construed as being capable of further including other components, and all terms, including technical or scientific terms, are generally understood by those skilled in the art to which the present invention pertains, unless otherwise defined. It has the same meaning as becoming.

In addition, the above description is merely an illustrative explanation of the technical idea of the present invention, and various modifications and variations can be made by those skilled in the art without departing from the essential characteristics of the present invention. Accordingly, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention, but are for illustrative purposes, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention should be interpreted in accordance with the claims below, and all technical ideas within the equivalent scope should be construed as being included in the scope of rights of the present invention.

10 - Renewable energy power plant 11 - Power generation facility
20 - Server 21 - Equipment information module
22 - Weather information module 23 - Station calculation module
24 - Service optimization module 25 - Price collection module
26 - Service management module 27 - Database
30 - Weather station

Claims (7)

A facility information module that receives facility data regarding design information and maintenance conditions of a renewable energy power plant from a server and stores, manages, and updates the database;
A weather information module that calculates standard weather data by receiving accumulated weather data and weather forecast data provided by a weather station;
A service calculation module that calculates expected power generation when the renewable energy power plant performs the cleaning service and when the cleaning service is not performed, respectively;
A price collection module that calculates expected electricity sales revenue, required costs, and overall expected revenue based on the expected power generation calculated by the station cost calculation module; and
A service management module that includes a function to determine whether to perform a cleaning service based on data calculated from the service calculation module and the price collection module, and manages the cleaning service of the renewable energy power plant; Including,
The weather information module determines whether the location of the renewable energy power plant and the location of the weather observatory are in the same area,
If the locations of the renewable energy power plant and the weather station are not the same, weather data and weather forecast data are provided from one or more weather stations located nearby based on the new and renewable energy power plant, and a virtual standard weather data virtual model is created. create,
When a virtual standard weather data virtual model is created in the weather information module, the expected power sales revenue of the price collection module is calculated based on the virtual standard weather data virtual model,
When a virtual standard weather data virtual model is not created, a maintenance service scheduling system using weather data that calculates expected power sales revenue based on accumulated weather data and weather forecast data provided by the weather observatory.
delete delete In claim 1,
The service calculation module calculates the service efficiency index for each service, which is the ratio of the power generation increase effect index for each maintenance service and the maintenance cost for each service, and determines the priority of maintenance services in order of the size of the calculated service efficiency index. Optimization module; Maintenance service scheduling system using weather data, including.
In claim 4,
Transmitting the service efficiency index calculated by the service optimization module, the service priority data, and the standard weather data calculated by the weather information module to the price collection module,
The price collection module is a maintenance service scheduling system using weather data that calculates expected power sales revenue, required costs, and overall expected revenue based on expected power generation, service efficiency index, and service priority.
In claim 4,
The service calculation module calculates the expected power generation amount when performing the washing service based on the service efficiency index and service priority data calculated by the service optimization module, and transmits the calculated expected power generation amount to the service management module,
The service management module calculates the power generation increase rate compared to the performance of the washing service by analyzing the expected power generation amount when performing the washing service and the expected power generation amount when the washing service is not performed. If the power generation increase rate is higher than the preset power generation increase rate in the server, the washing service is performed. Maintenance service scheduling system using data.
In claim 1,
The cost of the price collection module applies the actual maintenance unit price for each service according to the conditions for each service and the actual maintenance occurrence probability according to the conditions for each service, and calculates the maintenance cost for each service and the total maintenance cost. , A maintenance service scheduling system using weather data that calculates total maintenance consumption costs.

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