KR20210107372A - Method and system for maintenance of building - Google Patents

Abstract

The present invention relates to a method and a system for maintaining and managing a building, capable of forming performance change information of the building, driving time information, lifespan prediction information, economic feasibility information, and the like by automatically measuring, collecting, and analyzing electrical energy usage of a plurality of facilities installed in the building by utilizing IoT. According to the present invention, the system for maintaining and managing the building is attached to each of a plurality of facilities installed in the building to form measurement information of each of the facilities, form a list of energy usage by using the measurement information to analyze energy usage by time of each of the facilities, form information on energy efficiency for each facility, an aging degree for each facility, a failure rate for each facility, and a lifespan for each facility based on the energy usage by time of each of the facilities to manage a state of each of the facilities, reset a replacement/repair period of each of the facilities by using the information on the aging degree for each facility, the failure rate for each facility, and the lifespan for each facility, and establish a maintenance and repair criterion for a new facility.

Description

Building maintenance method and system

The present invention relates to a building maintenance system, and in particular, by using the Internet of Things (IoT) to automatically measure, collect, and analyze the electrical energy usage of a number of facilities installed in a building, information on the change in performance of the building, information on driving time , It relates to a building maintenance method and system that can form life prediction information, economic feasibility information, and the like.

Research on the life cycle cost (LCC) of a building has been relatively diverse since the early 1990s and after the 2000s. Important research results can be broadly classified into three directions: a study on the construction method of the LCC system, a study on the classification system of LCC-related data and information, and a study on the uncertainty of LCC analysis. The above three fields are one of the most important research areas in the LCC calculation methodology. Separately, LCC research on plant systems has been continuously developed.

In particular, looking at the program computerization development process that occupies most of the research on the LCC system construction methodology, the LCC program evolves from the basic LCC calculation to the various utilization of the LCC calculation result and the maintenance system equipped with the LCC calculation function.

Around 2010, as interest in Building Information Modeling (BIM) increased, research to graft BIM into LCC began, but it is still insufficient in quantitative terms. As such, the recent trend of LCC research to accommodate the evolving construction technology is related to the 4th industrial revolution. In particular, among studies related to the 4th industrial revolution, research related to smart plugs is very important in terms of the collection and utilization of big data, which is the most important in research in the LCC field.

The reason that LCC analysis is insufficient in practical use compared to its importance is due to lack of reliability (increased uncertainty, etc.) due to lack of data. If the automation of electric energy data collection is realized using IoT, practical effects such as increasing the reliability of data analysis results as well as reducing labor and improving accuracy for data input can be obtained.

The automation of data collection can change the electrical energy data of facility systems, which had been manually input until now due to inconvenience, into big data with great potential value.

It is necessary to build a smart plug-based S-LCC platform (S-LCC) that can automatically measure and collect electrical energy used in buildings using smart plugs and analyze lifetime costs. The smart plug-based LCC platform relates to a method to combine and utilize a smart plug, which is a mechanical device, with an existing LCC system, and requires the fusion of the hardware characteristics of the mechanical device and the function of the existing LCC system.

In particular, it is necessary to build a platform that can automatically DB and utilize the electrical energy data of equipment automatically measured by smart plugs in the existing LCC system.

The present invention utilizes IoT to automatically measure, collect, and analyze the electrical energy usage of a number of facilities installed in a building to maintain a building that can form performance change information, operating time information, life expectancy information, economic feasibility information, etc. of the building Management methods and systems are provided.

Building maintenance management system according to an embodiment of the present invention, a plurality of smart plugs respectively attached to a plurality of facilities installed in a building to form measurement information of each of the plurality of facilities; a measurement data management platform connected to the plurality of smart plugs; a measurement data analysis system connected to the measurement data management platform; and a Life Cycle Cost (LCC) analysis system connected to the measurement data analysis system, wherein the measurement data analysis system uses the measurement information to form an energy usage list to analyze the energy usage for each hour of each of the plurality of facilities a measurement energy data management module; A state evaluation management module for performing state management of each of the plurality of facilities by forming information on energy efficiency for each facility, age of each facility, failure rate for each facility, and lifespan for each facility based on the hourly energy usage of each of the plurality of facilities ; and a maintenance standard setting module for resetting the replacement/repair period of each of the plurality of facilities by using the information on the degree of deterioration of each facility, the failure rate for each facility, and the lifespan of each facility, and setting a maintenance standard for a new facility may include.

As an embodiment, the measurement energy data management module time-series the measurement information, forms an energy efficiency reduction rate of each of the plurality of facilities using the time-series measurement information, and uses the energy efficiency reduction rate to Information on aging, failure rate, and life expectancy results of each of a plurality of facilities can be formed.

As an embodiment, the state evaluation management module calculates the energy usage per facility/hour by using the time-series measurement information, and uses the energy usage per facility/hour for each facility operation time, number of failures, and energy Information about changes in efficiency and changes in failure rates can be formed.

As an embodiment, the condition evaluation management module may form a facility condition index (FCI index) of each of the plurality of facilities in order to determine the degree of deterioration of each of the plurality of facilities.

In this case, the facility condition index may be a percentage of the measured energy efficiency of each of the plurality of facilities with respect to the energy efficiency announced for each of the plurality of facilities.

As an embodiment, the maintenance standard setting module resets the maintenance standards of each of the plurality of facilities by using the information on the aging degree, failure rate and life expectancy result, and the aging degree, failure rate and life expectancy result You can set maintenance standards for each of a number of facilities to be installed in a new building using the information on

As an embodiment, the maintenance standard setting module may reset the maintenance standard of each of the plurality of facilities by adding or subtracting a change amount of the newly measured maintenance standard to the existing maintenance standard of each of the plurality of facilities.

As an embodiment, the plurality of smart plugs may have a short-distance communication function, and may include a memory function so that the measurement information is not lost even during a power outage.

As an embodiment, the plurality of smart plugs may perform the short-range communication function using Zigbee communication, which consumes low power.

As an embodiment, further comprising a smart integrated DB constructed by time-series data of measurement information measured using the plurality of smart plugs, wherein the LCC analysis system uses the time-series data-based information for the plurality of Information on the aging rate and life cycle of each facility can be formed.

A building maintenance and management method according to an embodiment of the present invention includes the steps of being attached to a plurality of facilities installed in a building, respectively, and forming measurement information of each of the plurality of facilities; forming an energy usage list using the measurement information to analyze the hourly energy usage of each of the plurality of facilities; performing state management of each of the plurality of facilities by forming information on energy efficiency for each facility, deterioration rate for each facility, failure rate for each facility, and lifespan for each facility based on the hourly energy usage of each of the plurality of facilities; and resetting the replacement/repair period of each of the plurality of facilities by using the information on the degree of deterioration of each facility, the failure rate per facility, and the lifespan of each facility, and setting maintenance standards for new facilities. have.

According to the embodiments of the present invention, the building maintenance management system is a function that could not be implemented in the existing LCC system, such as automatic meter reading and collection of electrical energy performance data generated in a number of facilities installed in a building using a smart plug, etc. It is possible to increase the reliability of LCC analysis by making it possible in an economical way.

In addition, by using the ability to statistically analyze and manage the performance data collected from the smart plug, it is possible to analyze the monthly electric energy usage and change of the device through basic data analysis.

In addition, it is possible to derive economic life prediction, performance comparison, actual operation time analysis, and economic analysis results based on actual use time measurement and energy efficiency analysis of multiple facilities.

In addition, based on the performance degradation of a number of facilities derived based on the analysis result of the measured electrical energy data, it is possible to revise and supplement the standards related to the maintenance rate, replacement cycle, and lifespan that have been previously set.

1 is an exemplary view showing the configuration of a building maintenance management system according to an embodiment of the present invention.
2 is an exemplary diagram showing the configuration of a smart integrated DB according to an embodiment of the present invention.
3 is a conceptual diagram of a building maintenance management system according to an embodiment of the present invention.
4 is a conceptual diagram illustrating functions and input/output data of a building maintenance management system according to an embodiment of the present disclosure.
5 is a conceptual diagram showing the correlation of information formed in the building maintenance management system according to an embodiment of the present invention.
6 is a flowchart showing a procedure of a building maintenance management method according to an embodiment of the present invention.

Hereinafter, with reference to the accompanying drawings, the embodiments of the present invention will be described in detail so that those of ordinary skill in the art to which the present invention pertains can easily implement them. The present invention may be embodied in many different forms and is not limited to the embodiments described herein.

1 is an exemplary view showing the configuration of a building maintenance management system according to an embodiment of the present invention.

As shown in Figure 1, the building maintenance management system 100 is a plurality of facilities (111, 112, 113, 114) installed in the building, a plurality of smart plugs (115, 116, 117, each attached to a plurality of facilities) 118 ), a measurement data management platform 120 , a measurement data analysis system 130 , a DB management system 140 , an LCC analysis system 150 , a smart integrated DB 160 and a calculation system 170 . .

According to an embodiment, the building maintenance management system 100 integrates the existing LCC analysis system 150 and the measurement data analysis system 130 to form the function of the LCC analysis system 150 and the measurement data analysis system 130 . It is possible to systematize the process of reprocessing information for electric energy data analysis, application information generation and utilization. That is, by grafting a plurality of smart plugs 115, 116, 117, 118, which are IoT devices, to the LCC analysis system 150 to automate the measurement and storage of electrical energy data, and to utilize and process electrical energy data Algorithms for the use of For example, the building maintenance management system 100 transmits information measured through the smart plugs 115, 116, 117, and 118 to the measurement data management platform 120 through the Internet, and based on the transmitted information The performance degradation of the plurality of facilities 111, 112, 113, and 114 is analyzed, and application information such as aging and life prediction information of the plurality of facilities 111, 112, 113, and 114 can be formed based on this. A plurality of smart plugs 115, 116, 117, and 118 to be used for this should be capable of self-communication, and may include a memory function so that measured data is not lost even in case of a power failure. According to an embodiment, the plurality of smart plugs 115, 116, 117, and 118 may use Zigbee communication, which is a short-distance communication method that consumes low power, but is not limited thereto.

A plurality of smart plugs (115, 116, 117, 118), as core equipment of the fourth industrial revolution, can automatically read and record the electrical energy of a plurality of facilities (111, 112, 113, 114). For this purpose, it is possible to transmit and record the electrical energy data of a plurality of facilities (111, 112, 113, 114) measured using Wi-Fi or a smartphone, etc., including a real-time monitoring function, remote control function, and memory function. can

In addition, it is desirable that the smart plug has all the core functions required for the S-LCC analysis system, such as program reservation function, measurement function, wireless control function, DB function of measured data, economy and convenience of control. In addition, by using these smart plugs, the electrical energy consumption of facilities (multifunction devices, computers, laptops, air conditioners, refrigerators, hot and cold water devices) is measured several times, and analysis results are presented based on real-time electrical energy measurement of electrical appliances. In addition, based on the measured real-time energy data, it is possible to analyze the age and economic feasibility of the device.

The measurement data analysis system 130 may include a measurement energy data management module 131 , a state evaluation management module 132 , and a maintenance standard setting module 133 .

The measurement energy data management module 131 included in the measurement data analysis system 130 forms an energy usage list using measurement information measured in real time by a plurality of smart plugs 115, 116, 117, 118, of the facilities (111, 112, 113, and 114) can analyze the energy consumption for each hour. According to an embodiment, the measurement energy data management module 131 time-series the measurement information measured periodically/aperiodically in a plurality of smart plugs 115, 116, 117, 118, and time-series measurement information The energy efficiency reduction rate of each of the plurality of facilities 111, 112, 113, 114 is formed using the It is possible to form information about the life expectancy result.

In addition, the state evaluation management module 132 included in the measurement data analysis system 130 is a plurality of facilities (111, 112, 113, 114), based on the hourly energy usage of each facility, energy efficiency by facility, age of each facility , by forming information on the failure rate for each facility and the lifespan for each facility, it is possible to perform state management of each of the plurality of facilities (111, 112, 113, 114). According to an embodiment, the state evaluation management module 132 calculates the energy usage for each facility/hour by using the time-series measurement information from the measurement energy data management module 131 , and calculates the energy usage for each facility/hour can be used to form information on operating hours, number of failures, changes in energy efficiency, and changes in failure rates for each facility.

According to another embodiment, the condition evaluation management module 132 is a plurality of facilities (111, 112, 113, 114) for each of the plurality of facilities (111, 112, 113, 114) to determine the degree of deterioration of each facility It is possible to form a condition index (FCI index). Here, the facility condition index may represent a percentage of the measured energy efficiency of each of the plurality of facilities (111, 112, 113, 114) with respect to the announced energy efficiency (refer to Equation 1 to be described later).

In addition, the maintenance standard setting module 133 included in the measurement data analysis system 130 uses the information on the age of each facility, the failure rate for each facility, and the lifespan for each facility formed in the state evaluation management module 132, It is possible to reset the replacement/repair period of each of the facilities 111, 112, 113, and 114 of the , and set the maintenance standard for the new facility.

According to one embodiment, the maintenance standard setting module 133 uses the information on the age of each facility, the failure rate for each facility, and the life expectancy result for each facility, each of the plurality of facilities (111, 112, 113, 114) It is possible to reset the maintenance standards and set the maintenance standards for each of a number of facilities to be installed in a new building by using the information on the age of each facility, the failure rate for each facility, and the life expectancy results for each facility. For example, the maintenance standard setting module 133 adds or subtracts the change amount of the newly measured maintenance standard to the existing maintenance standard of each of the plurality of facilities 111, 112, 113, and 114) can reset each maintenance standard (refer to Equation 2 to be described later).

The LCC analysis system 150 may include an initial cost calculation module 151 , an energy cost calculation module 152 , a disposal cost calculation module 153 , and a maintenance replacement cost calculation module 154 .

As an embodiment, the LCC analysis system 150 receives the data formed in the measurement data analysis system 130 , calculates information such as initial cost, energy cost, disposal cost, maintenance and replacement cost, and calculates the calculated information to system 170 .

The DB management system 140 may manage data stored in the smart integrated DB 160 . A detailed configuration and function of the smart integrated DB 160 will be described later.

The calculation system 170 is based on information such as initial cost, energy cost, disposal cost, maintenance replacement cost, etc. output from the LCC analysis system 150 and information stored in the smart integrated DB 160, a plurality of facilities 111, 112, 113, and 114) may form each life cycle prediction information, and report it to an administrator or a user as a result.

2 is an exemplary diagram showing the configuration of a smart integrated DB according to an embodiment of the present invention.

As shown in FIG. 2 , the smart integrated DB 160 may include a general data DB 161 , a unit price DB 162 , a measured energy DB 163 and a variable DB 164 .

The general data DB 161 may store information such as quantity calculation standards, maintenance replacement standards, area information, orientation information, material properties, parts constituent materials, and compositional recombination, but is not limited thereto.

Unit price DB 162, but may store information such as construction cost unit price by construction type, site management cost by construction scale, energy unit price, temporary construction unit price, demolition cost unit price, disposal cost unit price, high material return, but is not limited thereto.

The measured energy DB 163 may store information such as energy use ratio for each facility, energy usage comparison data for each facility, and energy change amount comparison data for each facility, but is not limited thereto.

The variable DB 164 may store information such as an inflation rate and an interest rate, but is not limited thereto.

The smart integrated DB 160 may be built by integrating performance data automatically measured using a plurality of smart plugs 115 , 116 , 117 , 118 . Since the smart integrated DB 160 is measured in the field and used as maintenance data, the uncertainty of the data is removed and the reliability of the LCC calculation result can be increased.

When real-time measurement data using smart plugs 115, 116, 117, and 118 are time-series data, LCC analysis using this data can be a result of LCC calculation based on performance data. The LCC analysis using the performance data reflects the breakdown and aging of the facility because the energy efficiency reduction phenomenon was recorded as it is in the process of aging of the facility. By analyzing the results of these analysis time-series, it is possible to grasp the aging rate and life cycle of facilities. For this, the DB automatic construction process and mechanism using IoT may be fused to the LCC analysis system 150 .

3 is a conceptual diagram of a building maintenance management system according to an embodiment of the present invention.

As shown in FIG. 3 , the building maintenance management system 100 may be defined as a software part related to the LCC analysis system 150 and the measurement data analysis system 130 . This part can be composed of facility management, LCC analysis, energy consumption management, condition evaluation analysis and maintenance standard re-evaluation functions. Since the facility management and LCC analysis functions are general functions related to the entire facility, energy usage management, status Only the evaluation analysis and maintenance standard re-evaluation function will be described. Energy consumption management such as electricity is a function for managing basic energy data measured by a plurality of smart plugs (115, 116, 117, 118), and the state evaluation analysis function is a function for analysis and reorganization of basic data, The maintenance standard reset function is a function to reset the existing maintenance standards for each facility based on the condition evaluation analysis result. In addition, it is possible to set new standards for new products for which maintenance standards have not been set.

4 is a conceptual diagram illustrating functions and input/output data of a building maintenance management system according to an embodiment of the present disclosure.

As shown in FIG. 4 , in the building maintenance management system 100 , the electric energy usage management for each facility becomes basic data for condition evaluation/condition management for each facility, and the analysis results obtained from the condition evaluation/condition management module are the facilities It can be a basis for reevaluating/resetting their maintenance standards. Therefore, the automatically measured electric energy usage data can evolve through the data analysis process.

The measurement energy data management module 131 of the measurement data analysis system 130 may perform a function of collecting and managing information measured by a plurality of smart plugs 115 , 116 , 117 , and 118 . That is, the measured energy data management module 131 is a module for comparing the measured electric energy usage, the usage amount for each facility, and the change amount for each facility. Since the amount of energy consumption and change for each period is measured in real time, it is possible to detect abnormalities in the facility in real time. In addition, the measured electric energy information and history information can be utilized as data for facility efficiency evaluation.

Since the energy usage data formed in the measured energy data management module 131 is time series data, a decrease in energy efficiency of the facility to be managed may be observed. Accordingly, using this time series data, it is possible to evaluate the state of a plurality of facilities 111, 112, 113, and 114, and predictive evaluation of failures or lifespans of a plurality of facilities 111, 112, 113, 114 may be possible. .

The state evaluation management module 132 of the measurement data analysis system 130 may represent the energy efficiency of a plurality of facilities 111, 112, 113, and 114 through indicators such as aging, failure rate, and predicted lifespan. Preventive management can be performed based on the analysis results. The status evaluation results can be used to derive management priorities for facility management and economic operation methods for each situation. The facility condition index (FCI index, refer to Equation 1) is an index of these results and can be a basic data for judging the deterioration of facilities. In addition, it may be possible to predict the economic lifespan of a plurality of facilities (111, 112, 113, 114) and establish a long-term repair plan for the facilities based on the facility condition index.

The maintenance standard setting module 133 of the measurement data analysis system 130 may include a facility-specific maintenance standard reset function and a new product maintenance standard setting function.

It is possible to determine the exact operating time, number of failures, changes in energy efficiency, and changes in failure rate of a large number of facilities (111, 112, 113, 114) that are actually used based on the age, failure rate, and life prediction results obtained from the condition evaluation results. . Through reevaluation of maintenance standards, accurate long-term repair plans and budgets can be established, and preventive maintenance is possible (refer to Equation 2). The maintenance standards for new products can be set based on actual use results and can be evaluated from a long-term perspective by referring to various cases. As an embodiment, the maintenance standard may refer to a standard related to the maintenance rate and replacement period of the plurality of facilities 111 , 112 , 113 , and 114 .

5 is a conceptual diagram showing the correlation of information formed in the building maintenance management system according to an embodiment of the present invention.

As shown in FIG. 5, through an analysis process such as LCC energy information of a plurality of measured facilities (111, 112, 113, 114), facility specification information, repair history information, etc., facility efficiency information, aging information, and life expectancy prediction information can be developed. After that, these energy processing information can generate information for economic condition management of facilities and provide basic data for resetting maintenance standards.

6 is a flowchart showing a procedure of a building maintenance management method according to an embodiment of the present invention. Although process steps, method steps, algorithms, etc. are described in a sequential order in the flowchart of FIG. 6 , such processes, methods, and algorithms may be configured to operate in any suitable order. In other words, the steps of the processes, methods, and algorithms described in various embodiments of the invention need not be performed in the order described herein. Also, although some steps are described as being performed asynchronously, in other embodiments some of these steps may be performed concurrently. Further, the exemplification of a process by description in the drawings does not imply that the exemplified process excludes other changes and modifications thereto, and that the illustrated process or any of its steps is not one of the various embodiments of the present invention. It is not meant to be essential to one or more, nor does it imply that the illustrated process is preferred.

As shown in FIG. 6 , in step S610 , each of the plurality of facilities installed in the building is attached to form measurement information of each of the plurality of facilities. For example, referring to FIGS. 1 to 5 , a plurality of smart plugs 115 , 116 , 117 , 118 installed in a plurality of facilities 111 , 112 , 113 , 114 installed in a building, respectively, a plurality of facilities ( 111, 112, 113, and 114), measurement information may be periodically/aperiodically formed. According to an embodiment, the measurement data management platform 120 may receive measurement information from a plurality of smart plugs 115, 116, 117, and 118 in real time using a Zigbee communication method, but a plurality of smart A communication method between the plugs 115 , 116 , 117 , and 118 and the measurement data management platform 120 is not limited thereto.

In step S620, an energy usage list is formed using the measurement information, and energy usage for each hour of each of a plurality of facilities is analyzed. For example, referring to FIGS. 1 to 5 , the measurement data analysis system 130 may include a plurality of facilities 111 and 112 based on measurement information received from a plurality of smart plugs 115 , 116 , 117 and 118 . , 113, 114) may form an energy usage list for each, and use the formed energy usage list to analyze the hourly energy usage of each of the plurality of facilities 111, 112, 113, and 114.

In step S630, information on energy efficiency for each facility, age of each facility, failure rate for each facility, and lifespan for each facility is formed based on the hourly energy usage of each of the plurality of facilities, and the state management of each of the plurality of facilities is performed. For example, referring to FIGS. 1 to 5 , the measurement data analysis system 130 is a plurality of facilities 111, 112, 113, and 114 based on the hourly energy usage of each facility, energy efficiency per facility, aging per facility It is possible to form information on the failure rate for each facility and the lifespan of each facility, and it is possible to form a number of facilities (111, 112, 113 and 114), each state management can be performed.

In step S640 , the replacement/repair cycle of each of a plurality of facilities is reset using information on the degree of deterioration of each facility, the failure rate of each facility, and the lifespan of each facility, and maintenance standards for new facilities are set. For example, referring to FIGS. 1 to 5 , the measurement data analysis system 130 uses the information on the age of each facility, the failure rate for each facility, and the lifespan for each facility, formed in step S630 for a plurality of facilities 111, 112, 113, 114) Each replacement/repair cycle can be reset, and maintenance standards for new facilities can be set.

In the above, the present invention has been described with reference to the embodiments shown in the drawings. However, the present invention is not limited thereto, and various modifications or other embodiments within the scope equivalent to the present invention are possible by those of ordinary skill in the art to which the present invention pertains. Accordingly, the true scope of protection of the present invention should be defined by the following claims.

100: building maintenance system 111,112,113,114: facility
115,116,117,118: smart plug 120: measurement data management platform
130: measurement data analysis system 140: DB management system
150: LCC analysis system 160: smart integrated DB
170: calculation system

Claims (11)

a plurality of smart plugs respectively attached to a plurality of facilities installed in a building to form measurement information of each of the plurality of facilities;
a measurement data management platform connected to the plurality of smart plugs;
a measurement data analysis system connected to the measurement data management platform; and
Using the LCC (Life Cycle Cost) analysis system connected to the measurement data analysis system,
The measurement data analysis system may include: a measurement energy data management module configured to form an energy usage list by using the measurement information and analyze the energy usage by time of each of the plurality of facilities;
A state evaluation management module for performing state management of each of the plurality of facilities by forming information on energy efficiency for each facility, age of each facility, failure rate for each facility, and lifespan for each facility based on the hourly energy usage of each of the plurality of facilities ; and
A maintenance standard setting module that resets the replacement/repair cycle of each of the plurality of facilities by using the information on the age of each facility, the failure rate per facility, and the lifespan of each facility, and sets the maintenance standard of the new facility containing,
Building maintenance management system. The method of claim 1,
The measured energy data management module,
Time-series the measurement information,
Forming the energy efficiency reduction rate of each of the plurality of facilities using time-series measurement information,
Using the energy efficiency reduction rate to form information on the aging, failure rate and life expectancy results of each of the plurality of facilities,
Building maintenance management system. 3. The method of claim 2,
The state evaluation management module,
Using the time-series measurement information to calculate the energy consumption per facility/hour,
Forming information on operating hours for each facility, the number of failures, changes in energy efficiency and change in failure rate by using the energy usage by facility/hour,
Building maintenance management system. 4. The method of claim 3,
The state evaluation management module,
Forming a facility condition index (FCI index) of each of the plurality of facilities for the determination of the degree of deterioration of each of the plurality of facilities,
Building maintenance management system. 5. The method of claim 4,
The facility condition index is a percentage of the measured energy efficiency of each facility with respect to the announced energy efficiency for each of the plurality of facilities,
Building maintenance management system. 3. The method of claim 2,
The maintenance standard setting module,
Resetting the maintenance standards of each of the plurality of facilities using the information on the aging, failure rate, and life expectancy results,
Setting maintenance standards for each of a plurality of facilities to be installed in a new building using the information on the aging, failure rate and life expectancy results,
Building maintenance management system. 7. The method of claim 6,
The maintenance standard setting module,
resetting the maintenance standard of each of the plurality of facilities by adding or subtracting the change amount of the newly measured maintenance standard to the existing maintenance standard of each of the plurality of facilities,
Building maintenance management system. The method of claim 1,
The plurality of smart plugs,
Having a short-distance communication function and including a memory function so that the measurement information is not lost even in the event of a power failure,
Building maintenance management system. 9. The method of claim 8,
The plurality of smart plugs,
performing the short-distance communication function using Zigbee communication, which consumes low power,
Building maintenance management system. The method of claim 1,
Further comprising a smart integrated DB constructed by time-series data of measurement information measured using the plurality of smart plugs,
The LCC analysis system uses the time-series data to form information on the aging rate and life cycle of each of the plurality of facilities,
Building maintenance management system. attaching to each of a plurality of facilities installed in a building to form measurement information of each of the plurality of facilities;
forming an energy usage list using the measurement information to analyze the hourly energy usage of each of the plurality of facilities;
performing state management of each of the plurality of facilities by forming information on energy efficiency for each facility, age of each facility, failure rate for each facility, and lifespan for each facility based on the hourly energy usage of each of the plurality of facilities; and
Resetting the replacement/repair cycle of each of the plurality of facilities by using the information on the degree of deterioration of each facility, the failure rate per facility and the lifespan of each facility, and setting a maintenance standard for a new facility,
Building maintenance methods.

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