KR20150101526A - Central management apparatus, shop management system and method for managing a plurality of shops - Google Patents

Abstract

The present invention relates to a central management server, a shop management system, and a shop management method, which classify shops into multiple groups on the basis of a specific classification standard, selects a shop having optimal energy consumption from shops in one group on the basis of information about energy consumption of shops, share an equipment control schedule corresponding to the selected shop with the other shops in one group, and manage the shops in the most optimal equipment control schedule. The central management server comprises: a communication unit which acquires information about energy consumption during a specific period of at least one shop provided with equipment consuming energy; and a control unit which classifies at least one shop into at least one group on the basis of classification standard, and selects a shop representing optimal energy consumption for each of the at least one group on the basis of the information about the energy consumption, wherein the equipment is controlled on the basis of a preset equipment control schedule and consumes energy, and the control unit controls the communication unit to transmit the equipment control schedule corresponding to the selected shop to the other shops in the group including the selected shop.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a central management server, a store management system, and a store management method for managing a store,

The present invention relates to a central management server, a store management system, and a store management method for managing a store, and more particularly, to a system and method for sorting stores into a plurality of groups based on specific classification criteria, And stores the equipment control schedule corresponding to the selected shop with other stores in the one group to manage the stores with the most optimal equipment control schedule A central management server, a store management system, and a store management method.

A store is a place where a certain thing can be bought and sold, and a store, a baker, and a convenience store may be included.

In recent years, a chain store, which corresponds to a store organization that centrally controls a plurality of shops handling a plurality of merchandise, is emerging, and the need for an efficient and holistic management system of multi-stores is emerging.

The manager managing the plurality of shops (or stores) can supply the plurality of products to the user operating the respective stores at a price lower than the market price.

Also, the user can reduce the operation cost of each store due to the management of the plurality of stores by the manager. In addition, the manager or the user can perform a batch advertisement for the plurality of products.

As each device or facility in the chain store (or store) has been modernized, energy management such as power, illumination, etc. installed in the chain store and sub-systems such as air conditioners, refrigerators, freezers, and showcases, There is an increasing need to develop a store (or chain store) management system capable of managing the store as a whole.

In particular, the facilities installed in the shops play a role of consuming electric power or energy, and the store management system is required to efficiently or optimally manage the energy usage for the stores.

In order to solve the above-described problems, the present disclosure is directed to a system and method for classifying stores into a plurality of groups based on a specific classification criterion, and based on information on the energy usage of the stores, A store management system and a shop management method for managing shops with the most optimal facility control schedule by sharing a facility control schedule corresponding to the selected shop with other stores within the one group, The purpose is to provide.

According to an aspect of the present invention, there is provided a central management server comprising: a communication unit for acquiring information on energy consumption during a specific period of at least one shop installed with an energy consuming facility; And a controller for classifying the at least one store into at least one group based on a classification criterion and selecting a store that exhibits an optimum energy use amount for each of the at least one group based on the information on the energy use amount Wherein the facility is controlled on the basis of a predetermined facility control schedule to consume energy, and the control unit controls the facility to transmit the facility control schedule corresponding to the selected shop to another shop in the group including the selected shop And may control the communication unit.

As an example related to the present specification, the specific period may be one that can be specified in units of one day, one week, or one month.

As an example related to the present specification, the classification criteria may be plural, and the control unit may classify the at least one store into the at least one group according to the plurality of classification criteria by applying a multi-dimensional clustering technique .

As an example related to the present specification, the control unit may determine at least one standard characteristic corresponding to the classification criterion, classify the at least one store into the at least one group based on each of the at least one standard characteristic .

As an example related to the present specification, the control unit may be configured to determine whether each of the at least one stores belongs to which of the at least one standard characteristic, and to determine the at least one store based on the determination result, And the like.

As an example related to the present disclosure, the at least one group corresponds to each of the at least one standard characteristic, and the control unit determines whether the store characteristic for each of the at least one store is a standard characteristic of the at least one standard characteristic And to create the at least one group by including each of the at least one store in a group corresponding to a closer standard characteristic.

As an example related to the present specification, the classification criterion may be a classification criterion according to a store characteristic for the at least one store.

As an example related to the present specification, the shop characteristic may include at least one of a static attribute and a dynamic attribute of the shop.

As an example associated with the present disclosure, the static attribute may be at least one of a size of the at least one store, a location of the at least one store, and a facility capacity for the facility.

As an example related to the present specification, the dynamic property may be weather information at a point where the at least one store is located.

As an example related to the present specification, the control unit may be to select a shop that consumes a minimum energy usage amount in each of the at least one group as a shop that indicates the optimal energy usage amount.

According to one embodiment of the present invention, when there are at least one stores consuming a certain amount of energy in a certain range based on the minimum energy consumption, the control unit may store the store consuming the minimum energy consumption, The energy consumption amount of the energy consumption in the same level may be determined as a store of the same grade and one of the stores of the same grade may be selected as a store indicating the optimum energy use amount based on the detailed selection criteria.

As an example related to the present specification, the detailed selection criterion is determined based on the facility capacity of the same-class store, the scale of the store, the operation time of the facilities included in the same-class store, and the equipment included in the stores of the same class It may be determined based on the control setting.

As one example related to the present specification, there may be a plurality of the detailed selection criteria, and there may be a priority among the detailed selection criteria.

As an example related to the present specification, the predetermined facility control schedule may be a time-dependent control setting for the facility.

As an example related to the present specification, the facilities included in the other stores may be controlled according to a facility control schedule corresponding to the selected stores.

As an example associated with the present disclosure, each of the at least one of the locations may comprise a local controller for controlling the facility.

As an example related to the present specification, the communication unit may be in communication with the local controller to obtain information on the energy usage amount.

As an example related to the present specification, the communication unit may communicate with the local controller through a gateway connecting between the central management server and the local controller.

As an example related to the present specification, the communication unit may communicate with a data center server collecting information on the energy usage amount from the at least one store to obtain information on the energy usage amount.

As an example related to the present specification, the data center server may be one in which the other stores communicate with the other stores so as to share a facility control schedule corresponding to the selected stores.

According to an aspect of the present invention, there is provided a store management system comprising: at least one store installed with energy-consuming equipment; And information on energy usage during a specific period of the at least one store, and classifying the at least one store into at least one group based on the classification criteria, and based on the information on the energy usage, And a central management server for selecting a shop that exhibits an optimum amount of energy usage for each of the groups, wherein the facility is controlled based on a predetermined facility control schedule to consume energy, and the central management server, And to control the other stores so that a facility control schedule corresponding to the selected stores is shared by other stores in the group including the selected stores.

As an example associated with the present disclosure, the store management system may further include a data center server for collecting information on the energy usage from the at least one store.

As an example related to the present specification, the central management server obtains information on the energy usage amount through the data center server, and transmits a facility control schedule corresponding to the selected shop through the data center server to the selected It may be to control the other stores so that other stores in the group containing the stores share.

According to another aspect of the present invention, there is provided a store management method comprising the steps of: acquiring information on energy usage during a specific period of at least one store installed with an energy consuming facility; Classifying the at least one store into at least one group based on a classification criterion; Selecting a shop that represents an optimal amount of energy usage for each of the at least one group based on the information on the energy usage, the facility being controlled based on a predetermined facility control schedule to consume energy; And transmitting a facility control schedule corresponding to the selected shop to another shop in the group including the selected shop.

According to the central management server, the shop management system, and the shop management method according to an embodiment disclosed herein, shops are classified into a plurality of groups based on a specific classification criterion, and based on the information on the energy usage of the stores, A shop having an optimum energy usage amount among the shops in the group is selected and the facility control schedule corresponding to the selected shop is shared with other shops in the one group to manage the shops with the most optimal facility control schedule , It is possible to reduce the energy consumption of a plurality of stores as a whole and to efficiently manage the energy consumption.

In other words, it can be optimized for multiple stores, can control leveled energy usage, has power saving effect, and can efficiently manage chain stores in the head office (or central management server) efficiently.

1 is an exemplary view showing a shop management system according to an embodiment of the present invention.
2 is an exemplary view showing a connection structure between a central management server and stores in a shop management system according to an embodiment disclosed herein.
3 is an exemplary diagram illustrating a connection structure between a central management server and stores in a shop management system according to another embodiment disclosed herein.
4 is a configuration diagram illustrating a configuration of a central management server according to an embodiment disclosed herein.
5 is an exemplary view illustrating a store classification method according to an embodiment disclosed herein.
FIG. 6 is an exemplary view illustrating a store classification method according to another embodiment disclosed herein.
7 is a flowchart illustrating a store management method according to an embodiment disclosed herein.

The techniques disclosed herein can be applied to a central management server, a management system, and a management method for managing at least one management point having facilities.

The management point means a management object to be managed collectively from the center (or the head office), and may be a store that means a place where a certain object can be sold or sold.

For example, the store may include shops, bakeries, convenience stores, and the like.

Accordingly, the techniques disclosed in this specification can be applied to a central management server, a chain store management system, and a store management method for store management.

In addition, the store is a concept including a chain store corresponding to a store organization that centrally controls a plurality of shops handling a plurality of merchandise.

Accordingly, the techniques disclosed in this specification can be applied to a central management server, a chain store management system, and a chain store management method for chain store management.

In addition, the technology disclosed in this specification can be applied to a portable device or a terminal that is connected to the store management system or the central management server by wire or wireless, and can manage the stores remotely.

The portable terminal or terminal refers to a terminal in a broad sense and may be a digital television (TV), a smart TV, a smart phone, a portable terminal, a mobile terminal, a personal computer Digital assistants (PDAs), portable multimedia player (PMP) terminals, notebook computers, wibro terminals, IPTV terminals, digital broadcasting terminals, telematics terminals, navigation terminals, AVN Video navigation) terminal, a television, a 3D television, an audio / video (A / V) system, a home theater system, an information providing center, a call center, Lt; / RTI >

In addition, the store may mean a building or a building in which facilities for consuming energy or electric power are installed.

In this case, each building or building may have a facility control system.

Here, the facility control system (or facility control system) may be a building automation system for controlling facilities disposed in buildings or buildings. In particular, the facility control system may be a building management system (BMS). That is, the building automation system can be applied to a concept including a factory automation system and the like, in particular, a building automation system for controlling facilities installed in a building in the present specification, without limiting the object to be applied in the automation system.

In addition, the facility control system may mean a building energy management system (BEMS) used to manage energy related to facilities installed in a building to maintain a pleasant indoor environment in the building while increasing energy performance .

The central management server and the branch (or store) management system according to one embodiment disclosed herein may mean a system for collectively managing facility control systems corresponding to branches (stores, buildings, or buildings) to be managed have.

It is noted that the technical terms used herein are used only to describe specific embodiments and are not intended to limit the scope of the technology disclosed herein. Also, the technical terms used herein should be interpreted as being generally understood by those skilled in the art to which the presently disclosed subject matter belongs, unless the context clearly dictates otherwise in this specification, Should not be construed in a broader sense, or interpreted in an oversimplified sense. In addition, when a technical term used in this specification is an erroneous technical term that does not accurately express the concept of the technology disclosed in this specification, it should be understood that technical terms which can be understood by a person skilled in the art are replaced. Also, the general terms used in the present specification should be interpreted in accordance with the predefined or prior context, and should not be construed as being excessively reduced in meaning.

Also, the singular forms "as used herein include plural referents unless the context clearly dictates otherwise. In this specification, the terms "comprising ", or" comprising ", etc. should not be construed as necessarily including the various elements or steps described in the specification, Or may be further comprised of additional components or steps.

Furthermore, terms including ordinals such as first, second, etc. used in this specification can be used to describe various elements, but the elements should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, wherein like reference numerals denote like or similar elements, and redundant description thereof will be omitted.

Further, in the description of the technology disclosed in this specification, a detailed description of related arts will be omitted if it is determined that the gist of the technology disclosed in this specification may be obscured. It is to be noted that the attached drawings are only for the purpose of easily understanding the concept of the technology disclosed in the present specification, and should not be construed as limiting the spirit of the technology by the attached drawings.

Description of store management system (or chain store management system)

The shop management system according to an embodiment disclosed herein may acquire information on at least one store (management point or chain store) where energy-consuming equipment is installed and energy consumption during a specific period of the at least one store A central management server for classifying the at least one store into at least one group based on a classification criterion and selecting a store that represents an optimal amount of energy usage for each of the at least one group based on the information about the energy usage, . ≪ / RTI >

Here, the facility may be controlled based on a predetermined facility control schedule to consume energy.

In addition, the central management server may control the other stores so that facility management schedules corresponding to the selected stores are shared by other stores in the group including the selected stores.

The store management system according to an exemplary embodiment may further include a data center server for collecting information on the energy usage amount from the at least one store.

In this case, the central management server can acquire information on the energy usage amount through the data center server.

In addition, the central management server may control the other stores to share facility control schedules corresponding to the selected stores through the data center server, with other stores in the group including the selected stores.

Hereinafter, the branch management system, the store management system, or the chain store management system according to the embodiment disclosed herein will be described in detail with reference to FIGS. 1 to 3. FIG.

However, the store management system disclosed in Figs. 1 to 3 is merely illustrative, and it should be understood that the techniques disclosed herein can be applied to various types of branch management systems, store management systems, or chain store management systems within the scope of the present invention And will be apparent to those skilled in the art.

Hereinafter, for convenience of explanation, the management system disclosed in this specification will be described as a store management system.

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

1, a store management system 10 according to an embodiment includes at least one store 11 to 19 installed with energy-consuming equipment (or equipment), at least one store 11 1 to 19) for managing a plurality of servers.

The shop management system 10 may have a structure in which the at least one stores 11 to 19 are interconnected nationwide.

As shown in FIG. 1, the shop management system 10 is divided into a plurality of shops 11 to 19, each of which is equipped with equipment, and is connected to the central management server 1 One network can be formed.

The shop management system 10 may further include a local server (not shown) connected to at least one of the at least one of the at least one of the at least one of the at least one of the at least one of the at least one of the at least one of the stores,

The local server may be a separate server for relaying the store and the central management server 1, or one of the plurality of stores may operate as a server.

At this time, each of the shops 11 to 19 may be distributed in the whole country or in some areas.

Also, each of the stores 11 to 19 is connected to the central management server 1, and the central management server 1 can monitor and manage the operations of a plurality of stores.

For example, each store may be a chain store of a convenience store, a bakery, and the like.

The shop management system 10 forms a network as shown in FIG. 1 by at least one of the shops 11 to 19 in which not only the air conditioner but also other equipment is installed, A plurality of stores to be distributed can be managed and controlled.

At this time, the shop management system 10 can manage the power consumption (or the energy consumption amount) for each branch by not only the area but also the whole country, and furthermore, it can be widely applied to a wide range including a plurality of countries have.

Each of the at least one stores 11 to 19 may include one or more facilities (or equipment) and equipment.

The facility is a facility (or a subsystem) provided in the store, for example, an air conditioner, a ventilator, an air conditioner, a fan, a boiler, a cooling tower, a pump, a temperature / humidity sensor, A power appliance, a refrigerator, a freezer, a showcase, a fire system, and the like.

In addition, the above equipment may mean, for example, a cooling tower, a pump, a temperature sensor, and the like in the case of using a cooling tower system.

According to the embodiment disclosed herein, the central management server 1 may obtain information on energy usage for a specific period of time of the at least one store 11 to 19. [

Here, the specific period may be designated or set by a user.

In addition, the specific period may be one that can be specified in units of one day, one week, or one month.

For example, the central management server 1 may obtain information on the energy usage amount every day. Also, for example, the central management server 1 may obtain information on energy usage from January 1 to January 20.

According to one embodiment, the central management server 1 may classify the at least one store 11-19 into at least one group based on a specific classification criterion.

The specific classification criteria may be plural. Therefore, when there are a plurality of specific classification criteria, classification into at least one group may be performed based on the above-described multi-dimensional clustering technique.

The sorting criterion may be a sorting criterion according to the store characteristics of the at least one store (11-19).

According to one embodiment, the store characteristic may include at least one of a static attribute and a dynamic attribute of the store.

Characterized in that the static attribute comprises at least one of the size of the at least one store (11-19), the location of the at least one store (11-19) and the equipment installed in (or equipped to) the at least one store Or at least one of the capacity of the equipment.

For example, the attributes of the size of the at least one store 11 to 19 may mean the size of the store, the floor height, the number of floors, the width of the window, and the like.

Also, for example, the attribute of the location of the at least one store 11-19 may indicate the direction (east, west, south, north) where the at least one store 11-19 is located have.

Further, for example, the facility capacity for the facility may mean the number of lights, the lighting power consumption, the number of air conditioners, the air conditioner capacity, the number of refrigeration facilities, and the capacity of refrigeration facilities.

In addition, the dynamic property may be weather information corresponding to a point (or area) where the at least one store 11 to 19 is located.

For example, the dynamic property may include at least one of an average outdoor air temperature, a maximum outdoor air temperature, a minimum outdoor air temperature, a precipitation amount, a snowfall amount, and a cloudiness corresponding to a point (or region) where the at least one store . ≪ / RTI >

More specifically, the central management server 1 may divide the at least one of the shops 11 to 19 into a plurality of groups based on a store size (size) and an illumination scale (number of lights).

For example, the central management server 1 may store the at least one store 11-19 into a large group (the first group) having a large illumination size, a store size, A medium-scale group (second group), and a small-scale group (third group) in which the store size and the illumination scale are small.

In this case, each of the first group to the third group may include at least one corresponding store.

According to one embodiment, the classification criteria may be plural.

For example, the classification criteria may include a plurality of classification criteria related to static attributes and dynamic attributes of the above-described store.

In this case, the central management server 1 may classify the at least one stores 11 to 19 into the at least one group according to the plurality of classification criteria by applying a multi-dimensional clustering technique.

The multidimensional clustering technique may have various schemes.

For example, the multi-dimensional clustering technique is a K-means clustering technique.

The K-means clustering scheme selects a number k of clusters and a criterion from a plurality of data sets, classifies the clusters corresponding to the criterion into a cluster, Or clustering).

It will be apparent to those skilled in the art that various other clustering techniques may be applied to the techniques disclosed herein.

According to one embodiment, the classification into the at least one group can be done by various requests.

For example, the central management server 1 may perform the classification operation according to a user request (or user input).

In addition, for example, the central management server 1 can perform the sorting operation as needed. Specifically, for example, when the central management server 1 is registered as a chain store with a new store added thereto , It is possible to automatically perform the classification.

Also, for example, the central management server 1 may periodically perform the classification. Specifically, for example, the central management server 1 can perform the classification in units of one day, one week, or one month.

In the case of a specific group classification performance according to the embodiment disclosed herein, when the new store is registered, the central management server 1 may classify the stores into groups according to the static attribute among the classification criteria described above .

This is because, in the case of the static attribute, classification may be performed only at the time of registration of the new shop, which is not a temporally frequently changing or changing classification standard.

In addition, the central management server 1 may reclassify the stores according to the dynamic attribute among the classification criteria described above on a daily basis based on the classification result based on the static attribute.

This is because, in the case of dynamic attributes, periodic classification may be necessary since the property has a characteristic that changes in units of one day.

Finally, the central management server 1 may perform a facility control schedule sharing operation according to the above-described embodiments based on the static attribute and the last group sequentially classified based on the dynamic attribute.

The central management server 1 may determine at least one standard characteristic corresponding to the classification criteria.

In other words, the central management server 1 may determine at least one standard characteristic corresponding to each of the at least one group.

For example, the at least one store 11-19 may be a large group (first group) having a large store size and a large illumination scale, a medium-scale group (second group) having a middle store size and medium scale, When classified into a small-sized small group (third group), the central management server 1 can determine at least one standard characteristic for each of the store size and illumination scale, which is a classification standard.

That is, the central management server 1 can classify the store size into large and small, and determine the standard characteristics of the large, medium, and small store sizes to be 45, 28, and 10 pyong respectively.

In addition, the central management server 1 may classify the illumination scale into large, small, and standard characteristics of the large, medium, and small lighting sizes of 75, 45, and 15, respectively.

Thus, at least one standard characteristic corresponding to a classification criterion including the store size and the illumination scale may mean at least one standard store size and a standard illumination scale.

For example, at least one standard characteristic corresponding to a classification standard including the store size and the illumination scale may be expressed as "(standard store size, standard illumination scale)" (75 pyeong, 75 pyeong), and standard characteristics (28 pyeong, 45 pyeong) for medium scale and small pyeong (10 pyeong, 15 pyeong).

In other words, the standard characteristic may be at least one standard characteristic corresponding to each of the at least one group.

That is, the standard characteristic corresponding to the first group is (45 py, 75), the standard characteristic corresponding to the second group is (28 py, 45), and the standard characteristic corresponding to the third group is (10 pyeong, 15 pyeong).

According to one embodiment, the central management server 1 may classify the at least one store 11-19 into at least one group based on each of the at least one standard characteristic.

According to one embodiment, the central management server 1 may determine which standard characteristic of the at least one standard characteristic belongs to each of the at least one stores 11 to 19, And sorting at least one store (11-19) into the at least one group.

Here, the at least one group (e.g., the first group to the third group) may correspond to each of the at least one standard characteristic.

According to one embodiment, the central management server 1 may determine which one of the at least one stores 11 - 19 is closer to which one of the at least one standard characteristics.

In addition, the central management server 1 may generate the at least one group by including each of the at least one stores 11 to 19 in a group corresponding to a closer standard characteristic.

Here, the determination as to which standard characteristic of the at least one standard characteristic is closer to the store characteristic for each of the at least one stores 11 to 19 can be performed in various manners.

For example, determining whether a store characteristic for each of the at least one store (11 - 19) is closer to which of the at least one standard characteristic is greater than a geometric distance between the store characteristic and the at least one standard characteristic . ≪ / RTI >

Specifically, for example, when the store characteristic for any one of the stores is "(store size: 30 pyung, lighting scale: 50) ", the central management server 1 stores the standard characteristics (45 pyeong, 75 pyeong), a geometric distance between the standard characteristic (28 pyeong, 45 pyeong) corresponding to the second group and the standard characteristic corresponding to the third group (10 pyeong, 15 pyeong) can do.

(제 1 거리),

(제 2 거리) 및

(제 3 거리)가 될 수 있다.According to this, the geometric distances between the store characteristics for any one store and the standard characteristics corresponding to each group are

(First distance),

(Second distance) and

(Third distance).

In this case, the central management server 1 may classify any one of the stores into a group corresponding to the smallest one of the first distance, the second distance, and the third distance.

According to one embodiment, the central management server 1 can select a store that represents an optimal energy usage amount for each of the at least one group based on the information on the energy usage amount.

For example, the central management server 1 may select a shop that consumes an energy consumption of 100 [kW] among stores included in the first group as a store that indicates the optimal energy usage.

There are various ways to select the stores that represent the optimal energy usage.

For example, the store indicating the optimal energy usage may be set by the user (or user input).

In addition, the central management server 1 may select a shop that consumes a minimum energy usage amount within each of the at least one group as a shop that indicates the optimal energy usage amount.

Further, for example, the shop indicating the optimal energy use amount may be set based on the shop characteristics or the classification criteria in the group. Specifically, for example, in the case of the large-scale group (the first group), the size of the large-scale store, which is a characteristic related to the characteristics of the store and the classification standard, and the illumination scale of the large- A store that consumes 10% more energy may be selected as a store that represents the optimum energy use amount.

According to an embodiment, the facilities installed in the at least one of the shops 11 to 19 may be controlled based on a predetermined facility control schedule to consume energy.

In addition, according to one embodiment, the central management server 10 may control the other stores so that a facility control schedule corresponding to the selected store is shared by other stores in the group including the selected stores have.

For example, referring to FIG. 1 (a), it is assumed that the stores included in the first group 11 are the first store 11, the second store 12 and the third store 13, The central management server 1 determines that the facility control schedule used by the first store 11 is the same as the second store 12 and the second store 12, 3 store 13 in the same manner.

In this case, the second shop 12 and the third shop 13 can control facilities controlled by the shop itself based on a facility control schedule used by the first shop 11. In this way, the stores in the first group can share facility control schedules indicating optimal energy usage.

The facility control schedule means a control setting according to time for the facility, and may mean information about a control attribute or a control parameter of the facility set according to time.

Here, the control attribute or the control parameter may mean various variables to be controlled in the control of the facility.

For example, when the facility is an air conditioner, the control parameter may be a target temperature (or set temperature), an upper limit temperature, a lower limit temperature, an air flow rate, whether to start or stop the control region, and the like.

Also, for example, when the facility is an illumination facility, the control parameter may be illumination brightness or the like.

Specifically, for example, the facility control schedule for the air conditioner may include information that the set temperature is 20 degrees at 1 to 2 hours, and the set temperature is 26 degrees at 5 to 6 hours. Accordingly, the facility control schedule can be configured or displayed in the form of a timetable.

According to one embodiment, when there are at least one stores that consume energy consumption within a certain range based on the minimum (or optimum) energy consumption, the central management server 1 calculates the minimum energy consumption The stores consuming the energy and the stores consuming the energy consumption within the certain range can be judged by the shops of the same class.

In this case, the central management server (1) may select any one of the above-mentioned shops of the same class as a shop indicating the optimal energy use amount based on the detailed selection criteria.

Here, the detail selection criteria are determined based on the facility capacity of the same-class store, the scale of the store, the operation time of the facilities included in the same-class store, and the control settings corresponding to the equipments included in the same-class store .

According to an embodiment, there may be a plurality of the detailed selection criteria, and a priority may exist between the detailed selection criteria.

For example, when the minimum or optimum energy usage is 10 [kW] and the predetermined range is ± 10%, the central management server 1 consumes 9 [kW] to 11 [kW] (Or judge) the stores of the same class as the above-mentioned stores.

In the case where the above detailed selection criteria are in the order of higher priority, the facility capacity (first detailed selection criteria), the store scale (second detailed selection criteria), and the operation time of the facility (third detailed selection criteria) , The central management server 1 can select a store (or an optimal store) indicating the optimal energy use amount among stores of the same class having a large capacity and consuming less energy. - Re-selection based on the first detailed criteria

Next, when it is difficult to select an optimal store by facility capacity, a store that has a large store size but uses less energy can be selected as a store (or an optimal store) representing the optimal energy consumption. - Re-selection based on the second detailed criteria

Next, when it is difficult to select an optimal store on the scale of a store, it is possible to select a store (or an optimal store) indicating the optimal energy consumption as a store that has less operation time and uses less energy. - Re-selection based on the third detailed criteria

Referring to FIG. 1 (b), the store management system 10 according to an embodiment disclosed herein includes a data center server 20 for collecting information on the energy usage from at least one store 30 .

The at least one store 30 may refer to a store corresponding to the stores 11 to 19 shown in Fig. 1 (a).

In this case, the central management server 1 can acquire information on the energy usage amount through the data center server 20. [

In addition, the central management server 1 controls the other stores to share facility control schedules corresponding to the selected stores through the data center server 20 so that other stores in the group including the selected stores share .

Here, the facility control schedule corresponding to each of the at least one stores is stored in the central management server 1, or is transferred to the central management server 1 from each store as needed, 1). ≪ / RTI >

Here, the collection or collection of the facility control schedules may be performed through the data center server 20.

2 is an exemplary view showing a connection structure between a central management server and stores in a shop management system according to an embodiment disclosed herein.

Referring to FIG. 2, the central management server 1 may be connected to the local controller 100.

In addition, the central management server 1 may include a terminal 40 connected to the central management server 1 from the outside.

In addition, an air conditioner, a cooler, a heating device such as an air conditioner, a lighting device, and a security device may be installed in one management point or the inside of the store 30 '.

In addition, a plurality of power meters 151 to 154 connected to the equipments to measure the amount of power consumed are provided.

At this time, the indoor units 154_1, 151_1, and 151_2, the outdoor unit 154_2, the refrigerator 152_3, the showcase 152_2, the warming room 152_1, the calculator 153_1, and the lighting unit 151_3 may be installed in the store.

The plurality of indoor units 154_1, 151_1, and 151_2 may air-condition the indoor units, and the plurality of indoor units may be operated together or independently according to the indoor air-conditioning load.

The air conditioner may further include units such as a ventilator, an air purifier, a dehumidifier, and a humidifier in addition to an indoor unit and an outdoor unit. Hereinafter, an indoor unit and an outdoor unit will be described. Is not limited to the drawings.

Here, the indoor unit includes an indoor heat exchanger (not shown), an indoor unit fan (not shown), an expansion valve (not shown) to which refrigerant supplied is expanded, and a plurality of sensors (not shown).

The outdoor unit includes a compressor (not shown) for receiving and compressing refrigerant, a heat exchanging outdoor heat exchanger (not shown) for exchanging refrigerant and outdoor air, an accumulator (not shown) for extracting gas refrigerant from the supplied refrigerant, And a four-way valve (not shown) for selecting the flow path of the refrigerant according to the heating operation.

At least one lighting device 151_3 is installed and controlled by a connected switch.

The refrigerator 152_3 or the showcase 152_2 is used to store foods by keeping the inside at a set temperature.

The showcase 152_2 exposes the cold air according to the cooling cycle so that the internal temperature is lowered.

The warming room 152_1 maintains the internal temperature at a predetermined temperature or higher so that the inside of the object is kept warm.

Also, the calculator 153_1 manages money and issues receipts.

The facility equipment installed at such a spot is managed by the local controller (100 or branch point controller) in the branch or shop, and information on the data and the power consumption per device is managed in the operation state of each equipment.

The local controller 100 is an apparatus for collectively controlling and / or monitoring the situation of an entire shop. The local controller 100 is a device that is installed in or installed in a shop, for example, hardware, lighting, power, access control, , Facility management, and the like.

The local controller 100 stores the power amount data measured and input from the power measuring devices 151 to 154 and may store the control data and operation state data for each device.

In addition, the local controller 100 is connected to the central management server 1 to transmit and receive data, changes control settings for each device according to data received from the central management server 1, and monitors the operation thereof . At this time, a unique account is assigned to each branch (or each branch) in the local controller 1, and an ID according to the account is issued.

The local controller 100 can receive the control data for the corresponding point and receive the control record by accessing the central management server 1 through the ID, which is an account of the branch office.

Here, the control data may be a broad concept including the facility control schedule described above.

The local controller 100 can transmit to the central management server 1 information on the amount of consumed electricity (or energy consumption) collected and stored for each shop, and receive the corresponding charge information.

In addition, the local controller 100 may transmit its facility control schedule to the central management server 1, as needed or at the request of the central management server 1. [

The central management server 1 can identify each store and transmit the requested data using the account assigned to the store.

The local controller of each store can also access the central management server 1 using the assigned account and can request each store data to the central management server 1. [

At this time, IDs having different rights are assigned to the central management server 1 and the respective stores, and data displayed according to the rights set in the IDs at the time of connection using the IDs may be limited.

When accessing the central management server 1 through the store ID, only the data for the corresponding point can be provided from the central management server 1. [

The central management server 1 can integrally control or individually control a plurality of points or stores according to the setting, and can perform exception processing for a predetermined store at the time of integrated control.

In addition, the central management server 1 can provide data on a predetermined shop or a point according to a connection account for connection of the terminal 40 such as a mobile terminal, a notebook computer, and the like.

At this time, regardless of the type of the connected terminal, data of the store corresponding to the connection account can be transmitted.

3 is an exemplary diagram illustrating a connection structure between a central management server and stores in a shop management system according to another embodiment disclosed herein.

3, a central management server (1 or a central control server) connected to a plurality of stores (30, branches or chain stores), the plurality of stores (30) through a network, And a remote management server 50 connected to the management server 50 and providing device management data for managing the device.

The plurality of stores 30 are disposed between the local controllers 100_1 to 100_3 and the central management server 1 and convert various information or communication data between them according to a telecommunication protocol, To the local controller (1) or the local controller (100_1 to 100_3).

The gateway 300 corresponds to a router that transmits and receives a signal corresponding to the status data.

According to one embodiment, when the shop management system 10 further includes a data sensor server 20, the gateway 300 may be configured to communicate with the central management server 1 and the data sensor server 20, Or between at least one of the data sensor server 20 and the local controllers 100_1 to 100_3.

The gateway 300 may include a protocol conversion unit 310 for converting the status data according to a telecommunication protocol.

As shown in FIG. 3, the remote management server 50 may be a web server that generates a device management screen for managing devices 110_1 to 110_3 provided in a shop.

Here, the device management screen may be any one of a screen related to air conditioner information, refrigeration information, power use information, facility information, failure history information, failure setting information, and energy use detailed information.

The plurality of stores 30 may further include a terminal 40 connected to the remote management server 50 via a network and receiving and displaying the device management data from the remote management server 30. [

The plurality of stores 30 are provided in the store and include at least one device 110_1 to 110_3 for transmitting status data.

The devices 110_1 to 110_3 include an air conditioner, a refrigerator, a freezer, a shelf, and the like disposed in a store, and the status data corresponds to a current temperature of each of the devices 110_1 to 110_3, , In the case of refrigerators, freezers and shelves, it corresponds to the inside temperature. The status data may include not only the current temperature but also the humidity and the flow rate.

In addition, since the apparatus includes a facility in a shop such as a watt-hour meter, the status data may include a power consumption amount of each of the devices 110_1 to 110_3 and a total power consumption amount (or an energy usage amount) in the store.

The plurality of stores 30 may include local controllers 100_1 to 100_3 for receiving the status data from the devices 110_1 to 110_3.

Also, the local controllers 100_1 to 100_3 may transmit operation control data for remotely controlling the devices 110_1 to 110_3 from the central management server 1 to the device.

The central management server 1 is connected to the devices 110_1 to 110_3, and can generate the failure history data if the abnormal state in which the status data is greater than a predetermined threshold persists.

The central management server 1 may output the failure history data to the remote management server 40 or output the failure history data to the user or the manager when the duration of the abnormal state passes the threshold time.

Accordingly, it is possible to notify the user or the manager in each shop of an abnormality of the in-store apparatus, to effectively manage the store, and to prevent overload of data to the manager server or service center.

The work disclosed herein In the embodiment  Description of the Central Management Server

The central management server according to an embodiment disclosed herein below may be implemented as a part or a combination of the constituent elements or steps included in the embodiments described above or a combination of the embodiments, Duplicate portions can be omitted for the sake of clarity of the embodiment of the server.

Therefore, in the following, description of the central management server duplicated with the contents of the shop management system described above with reference to Figs. 1 to 3 may be omitted.

The central management server according to an embodiment disclosed herein may include a communication unit that obtains information on energy usage during a specific period of at least one store installed with an energy consuming facility, And a controller for classifying the at least one group into at least one group and selecting an optimal energy usage amount for each of the at least one group based on the energy usage information.

Here, the facility may be controlled based on a predetermined facility control schedule to consume energy.

In this case, the control section may control the communication section to transmit the facility control schedule corresponding to the selected shop to another shop in the group including the selected shop.

According to one embodiment, the specific period may be one that can be specified in units of one day, one week, or one month.

According to an embodiment, the classification criteria may be a plurality of categories, and the control unit may classify the at least one store into the at least one group according to the plurality of classification criteria by applying a multi-dimensional clustering technique.

According to an embodiment, the control unit may determine at least one standard characteristic corresponding to the classification criterion, classify the at least one store into the at least one group based on each of the at least one standard characteristic Lt; / RTI >

According to an embodiment, the control unit may be configured to determine whether each of the at least one stores belongs to which one of the at least one standard characteristics, and to determine the at least one store based on the determination result, It can be classified as a group.

According to one embodiment, the at least one group corresponds to each of the at least one standard characteristic, and the control unit determines that the store characteristic for each of the at least one store is one of the at least one standard characteristic , And creating the at least one group by including each of the at least one store in a group corresponding to a closer standard characteristic.

According to one embodiment, the classification criterion may be a classification criterion according to a store characteristic of the at least one store.

According to one embodiment, the shop characteristic may include at least one of a static attribute and a dynamic attribute of the shop.

According to one embodiment, the static attribute may be at least one of a size of the at least one store, a location of the at least one store, and a facility capacity for the facility.

According to one embodiment, the dynamic property may be weather information at a location where the at least one store is located.

According to an embodiment of the present invention, the controller may select a shop that consumes a minimum energy usage amount in each of the at least one group as a shop that indicates the optimal energy usage amount.

According to an embodiment of the present invention, when at least one store consuming energy within a certain range is present based on the minimum energy consumption, the control unit may store the store consuming the minimum energy consumption, The store consuming the energy consumption may be determined as a store of the same class and one of the stores of the same class may be selected as the store which indicates the optimum energy use amount based on the detailed selection criteria.

Further, according to one embodiment, the detailed selection criteria may include a facility capacity of the same-class store, a scale of the store, an operation time of equipment included in the same-class store, and a control corresponding to equipment included in the same- May be determined based on the setting.

According to one embodiment, there may be a plurality of the detailed selection criteria, and a priority may exist between the detailed selection criteria.

According to one embodiment, the predetermined facility control schedule may be a time-dependent control setting for the facility.

According to an embodiment, the facility included in the other location may be controlled according to a facility control schedule corresponding to the selected location.

Also according to one embodiment, each of the at least one of the locations may comprise a local controller for controlling the facility.

According to an embodiment of the present invention, the communication unit may communicate with the local controller to obtain information on the energy usage.

According to an embodiment, the communication unit may communicate with the local controller through a gateway connecting the central management server and the local controller.

According to an embodiment of the present invention, the communication unit may communicate with a data center server collecting information on the energy usage amount from the at least one store to obtain information on the energy usage amount.

According to one embodiment, the data center server may be configured to perform communication with the another location so that the other location shares a facility control schedule corresponding to the selected location.

4 is a configuration diagram illustrating a configuration of a central management server according to an embodiment disclosed herein.

Referring to FIG. 4, the central management server 1 according to an embodiment disclosed herein may include a communication unit 410 and a control unit 420.

According to one embodiment, the central management server 1 may further include an input unit 430, a display unit 440, and a storage unit 450.

In addition, the central management server 1 may further include various components for the shop management function according to the embodiment disclosed herein.

The components shown in Fig. 4 are not essential, so that the central management server 1 having more or fewer components can be implemented.

Hereinafter, the components will be described in order.

However, the parts overlapping with those related to the central management server 1 shown in Figs. 1 to 3 may be omitted.

The communication unit 410 may perform communication with at least one store 30 installed with facilities for consuming energy.

Each of the at least one store 30 may include a local controller for controlling the facility.

In this case, the communication unit 410 can communicate with a local controller included in each of the at least one of the at least one of the shops 30 (see FIG. 2).

Also, according to one embodiment, the communication unit 410 may acquire information on the energy usage amount of the at least one store 30 during a specific period.

For example, the communication unit 410 may communicate with the local controller to obtain information on the energy usage (see FIG. 2).

In addition, for example, the communication unit 410 may communicate with the local controller through a gateway connecting the central management server 1 and the local controller (see FIG. 3).

Here, the specific period may be one that can be specified in units of one day, one week, or one month.

Also, according to one embodiment, a facility control schedule for controlling the facility can be obtained from each of the at least one stores 30.

The facility control schedule means a control setting according to time for the facility, and may mean information about a control attribute or a control parameter of the facility set according to time.

Here, the control attribute or the control parameter may mean various variables to be controlled in the control of the facility.

For example, when the facility is an air conditioner, the control parameter may be a target temperature (or set temperature), an upper limit temperature, a lower limit temperature, an air flow rate, whether to start or stop the control region, and the like.

Also, for example, when the facility is an illumination facility, the control parameter may be illumination brightness or the like.

The at least one store 30 can basically have a predetermined facility control schedule.

According to one embodiment, the communication unit 410 communicates with the data center server 20 that collects information on the energy usage amount from the at least one store 30 to acquire information on the energy usage amount (See FIG. 1).

According to one embodiment, the data center server 20 may be configured to, when the above-mentioned optimum store is selected, to share a facility control schedule corresponding to the selected store in another group in the group including the selected store (Or control the other stores to share the facility control schedule).

The controller 420 may control the components included in the central management server 1 in order to provide the store management function according to the embodiment of the present invention.

The control unit 420 may classify the at least one store 30 into at least one group based on the classification criteria.

In addition, the controller 420 may select a shop that represents the optimal energy usage for each of the at least one group based on the information on the energy usage.

Here, the facility is controlled based on a predetermined facility control schedule and consumes energy. In this case, the control unit 420 stores the facility control schedule corresponding to the selected store in a group including the selected store The control unit 410 may control the communication unit 410 to transmit the data to another location within the network.

Here, the predetermined facility control schedule may be a time-dependent control setting for the facility.

The facility included in the other location may be controlled according to a facility control schedule corresponding to the selected location.

According to one embodiment, the specific period may be one that can be specified in units of one day, one week, or one month.

According to one embodiment, the classification criteria may be plural.

In this case, the controller 420 may classify the at least one store into the at least one group according to the plurality of classification criteria by applying the multi-dimensional clustering technique.

The control unit 420 may determine at least one standard characteristic corresponding to the classification criterion and classify the at least one store into the at least one group based on each of the at least one standard characteristic.

In addition, the controller 420 determines which standard characteristic of the at least one standard characteristic belongs to each of the at least one store, and determines the at least one store as the at least one group based on the determination result It can be classified.

Also, the at least one group corresponds to each of the at least one standard characteristic, and the control unit 420 determines whether the store characteristic for each of the at least one store is more And to create the at least one group by including each of the at least one store in a group corresponding to a closer standard characteristic.

The sorting criterion may be a sorting criterion according to the store characteristics of the at least one store.

Here, the shop characteristic may include at least one of a static attribute and a dynamic attribute of the shop.

For example, the static attribute may be at least one of a size of the at least one store, a location of the at least one store, and a facility capacity for the facility.

Also, for example, the dynamic property may be weather information at a location where the at least one store is located.

Hereinafter, with reference to FIG. 5 to FIG. 6, a store classification method according to an embodiment disclosed herein will be described in detail.

In particular, the store classification method disclosed in FIGS. 5 to 6 is a multidimensional clustering method. FIG. 5 illustrates a two-dimensional clustering method, and FIG. 6 illustrates a three-dimensional clustering method.

5 is an exemplary view illustrating a store classification method according to an embodiment disclosed herein.

Referring to FIG. 5, the controller 420 may classify a plurality of stores into a plurality of groups based on static attributes among the classification criteria.

For example, the static attribute may be store size (size) and illumination scale (number).

Therefore, as shown in FIG. 5, a graph may be shown in which the store size is the y-axis (0 to 50 pyee) and the illumination scale is the x-axis (0 to 80).

The control unit 420 may classify the plurality of shops into a plurality of groups (large scale: G10, medium scale: G20, small and medium scale: G30 and small scale group: G40) based on the respective store characteristics of the plurality of stores have.

More specifically, the controller 420 may determine the standard characteristics st1 to st4 corresponding to the plurality of groups G10 to G40, respectively.

For example, a standard characteristic corresponding to a large-scale group (G10) can be determined as (number of lights: 75, average of store: 45 pyeong).

The controller 420 may calculate the geometric distance for each of the standard features (st1 to st4) and for each of the plurality of stores (see a straight line in the small group of Fig. 5).

In order to classify any one of the plurality of stores into a specific group, the controller 420 determines whether the store characteristic for the one of the stores is based on the four standard characteristics (st1 ~ st4, which are standard characteristics.

The controller 420 may classify any one of the stores into a group having the closest geometric distance based on the determination result.

For example, if the first store has a geometric distance closest to the first standard characteristic (st1), the first store may be classified as the large group G10.

Next, the controller 420 may reclassify the stores based on the dynamic property among the classification criteria.

For example, the controller 420 may sort the stores in the large group G10 classified as the static attribute into the detailed groups G10_1 to G10_3 based on the dynamic property.

The reclassification methods for the sub groups G10_1 to G10_3 are similar to the classification methods based on the static attributes, and a detailed description thereof will be omitted.

FIG. 6 is an exemplary view illustrating a store classification method according to another embodiment disclosed herein.

Referring to FIG. 6, the controller 420 may classify a plurality of stores based on three classification criteria.

For example, each of the three classification criteria may be an illumination scale (x-axis), a store size (y-axis), and a daily average ambient temperature (z-axis).

6, the control unit 420 determines three standard characteristics (st100 to st300) corresponding to the classification criterion, and determines the relationship between the three standard characteristics (st100 to st300) and the store characteristics The plurality of shops can be classified into three groups (G100 to F300) based on the geometric distance.

According to an alternative embodiment, the controller 420 may perform the classification step by step.

For example, the control unit 420 determines whether the illumination scale (x axis) and the store size (y axis) correspond to a classification criterion corresponding to a static property, ) And a shop size (y-axis), and perform the periodical classification on the basis of the daily average outdoor air temperature (z-axis) which is the dynamic property in units of one day.

The specific classification method disclosed in FIG. 6 is similar to the classification method disclosed in FIG. 5, and a detailed description thereof will be omitted.

Referring again to FIG. 4, the input unit 430 can receive a user input for controlling the central management server 1.

The input unit 430 may generate input data for controlling the operation of the central management server 1 by a user.

The input unit 430 may include a key pad, a dome switch, a touch pad (static / static), a jog wheel, a jog switch, and the like. Particularly, when the touch pad has a mutual layer structure with the display unit 440, it can be called a touch screen.

According to one embodiment, the input unit 430 may receive (or receive) various user inputs as described above from a user.

For example, the input unit 430 may receive a control input related to facility control displayed on the control screen.

The display unit 440 displays information to be processed by the central management server 1 and outputs the information.

For example, the display unit 440 may display a UI (User Interface) or a GUI (Graphic User Interface) associated with the functions provided by the central management server 1. [

Also, the display unit 440 may display the processing result of the controller 420 on the screen.

The display unit 440 may be a liquid crystal display, a thin film transistor-liquid crystal display, an organic light-emitting diode, a flexible display, a three-dimensional display (3D display).

In addition, there may be two or more display units 440 according to the embodiment of the central management server 1. [ For example, the central management server 1 may include an external display unit (not shown) and an internal display unit (not shown) at the same time.

The display unit 440 may be connected to the display unit 440 in a case where a sensor (hereinafter, referred to as a 'touch sensor') that senses a touch operation with the display unit 440 has a mutual layer structure It can also be used as an input device in addition to the device. The touch sensor may have the form of, for example, a touch film, a touch sheet, a touch pad, or the like.

The storage unit 450 may store information received, processed and generated by the central management server 1. [

For example, the storage unit 450 may store a program for processing and controlling the control unit 420, and may store input / output data (e.g., user input through a user interface, control processing A process or a control result, and the like).

In addition, the storage unit 450 may store the user interface screen (or the control screen).

The storage unit 450 may be a flash memory type, a hard disk type, an SSD (solid state disk or solid state drive), a multimedia card micro type, a card type (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM) A programmable read-only memory (PROM) magnetic memory, a magnetic disk, and an optical disk.

In addition, the central management server 1 may operate a web storage for performing a storage function of the storage unit 450 on the Internet.

The work disclosed herein In the embodiment  Explanation of store management method according to

The store management method according to an embodiment disclosed herein includes the steps of obtaining information on energy usage during a specific period of at least one store installed with energy consuming facilities, Selecting at least one group representing at least one of the at least one group based on the information on the amount of energy usage, the facility having an optimal energy usage amount based on a predetermined facility control schedule, And transmitting the equipment control schedule corresponding to the selected shop to another shop in the group including the selected shop.

7 is a flowchart illustrating a store management method according to an embodiment disclosed herein.

Referring to FIG. 7, the shop management method according to the embodiment disclosed herein may be performed as follows.

First, information on energy consumption during a specific period of at least one store installed with energy-consuming facilities can be obtained (S110).

Next, the at least one store may be classified into at least one group based on the classification criteria (S120).

Next, it is possible to select a shop indicating the optimal energy usage for each of the at least one group based on the information on the energy usage (S130).

Here, the facility may be controlled based on a predetermined facility control schedule to consume energy.

Next, the facility control schedule corresponding to the selected shop may be transmitted to another shop within the group including the selected shop (S140).

The technology disclosed in the above description is a method for energy management among the methods capable of collectively managing the multi-store in the head office, and it is possible to store various stores installed in the nation with similar characteristics Scale, building direction, facility capacity, logarithm, etc.), and extracting and sharing an energy consumption pattern, a facility operation pattern, or a facility control schedule of a store having the lowest energy usage among the stores.

According to the central management server, the shop management system, and the shop management method according to an embodiment disclosed herein, shops are classified into a plurality of groups based on a specific classification criterion, and based on the information on the energy usage of the stores, A shop having an optimum energy usage amount among the shops in the group is selected and the facility control schedule corresponding to the selected shop is shared with other shops in the one group to manage the shops with the most optimal facility control schedule , It is possible to reduce the energy consumption of a plurality of stores as a whole and to efficiently manage the energy consumption.

In other words, it can be optimized for multiple stores, can control leveled energy usage, has power saving effect, and can efficiently manage chain stores in the head office (or central management server) efficiently.

The scope of the present invention is not limited to the embodiments disclosed herein, and the present invention can be modified, changed, or improved in various forms within the scope of the present invention and the claims.

1: central management server 10: store management system
410: communication unit 420:

Claims (25)

A communication unit for acquiring information on energy usage during a specific period of at least one shop installed with energy consuming facilities; And
Classifying the at least one store into at least one group based on a classification criterion,
And a controller for selecting a shop that indicates an optimal energy usage amount for each of the at least one group based on the information on the energy usage amount,
The facility includes:
And is controlled based on a predetermined facility control schedule to consume energy,
Wherein,
And controls the communication unit to transmit the facility control schedule corresponding to the selected shop to another shop in the group including the selected shop. The method according to claim 1,
A central management server that can be specified in units of one day, one week, or one month. The method according to claim 1,
Plural,
Wherein,
And classifying the at least one store into the at least one group according to the plurality of classification criteria by applying a multi-dimensional clustering technique. The apparatus of claim 1,
Determining at least one standard characteristic corresponding to the classification criterion,
And classifies the at least one store into the at least one group based on each of the at least one standard characteristic. 5. The apparatus of claim 4,
Determining whether each of the at least one store belongs to which of the at least one standard characteristic,
And classifies the at least one store into the at least one group based on the determination result. 5. The method of claim 4, wherein the at least one group comprises:
Corresponding to each of the at least one standard characteristic,
Wherein,
Determining whether a store characteristic for each of the at least one store is closer to which one of the at least one standard characteristic,
Wherein the at least one group is created by including each of the at least one store in a group corresponding to a closer standard characteristic. The method according to claim 1,
Wherein the at least one store is a sorting criterion according to the store characteristics of the at least one store. 8. The method according to claim 7,
Wherein the centralized management server includes at least one of static and dynamic properties of the store. 9. The method of claim 8,
The size of the at least one store, the location of the at least one store, and the facility capacity for the facility. 9. The method of claim 8,
Wherein the at least one store is weather information at a location where the at least one store is located. The apparatus of claim 1,
And selects a shop that consumes a minimum energy usage amount within each of the at least one group as a shop that indicates the optimum energy usage amount. 12. The apparatus according to claim 11,
When at least one store consuming energy within a certain range is present based on the minimum energy consumption,
A store that consumes the minimum energy usage amount and a store that consumes the energy usage amount within the certain range are determined as shops of the same class,
And selects one of the stores of the same class as a store that indicates the optimal energy usage amount based on the detailed selection criteria. [13] The method of claim 12,
And a control setting corresponding to the facilities included in the same-class store, and the control settings corresponding to the equipments included in the stores of the same class. [13] The method of claim 12,
Plural,
And a priority exists between the detailed selection criteria. The method according to claim 1, wherein the predetermined facility control schedule includes:
And a time-dependent control setting for the facility. The facility according to claim 1,
And is controlled according to a facility control schedule corresponding to the selected shop. 2. The system of claim 1, wherein each of the at least one store comprises:
And a local controller for controlling the facility. 18. The communication device according to claim 17,
And communicates with the local controller to obtain information about the energy usage. 19. The communication system according to claim 18,
And communicates with the local controller through a gateway connecting the central management server and the local controller. The communication apparatus according to claim 1,
Wherein the central management server communicates with a data center server collecting information on the energy usage from the at least one store to obtain information about the energy usage. 21. The system of claim 20, wherein the data center server comprises:
And said another store communicates with said other store so as to share a facility control schedule corresponding to said selected store. At least one store in which energy consuming equipment is installed; And
Acquiring information on energy usage during a specific period of the at least one store,
Classifying the at least one store into at least one group based on a classification criterion,
And a central management server for selecting a shop that indicates an optimal energy usage amount for each of the at least one group based on the information on the energy usage amount,
The facility includes:
And is controlled based on a predetermined facility control schedule to consume energy,
The central management server,
And controls the other stores so that facility schedules corresponding to the selected stores are shared by other stores in the group including the selected stores. 23. The method of claim 22,
And a data center server for collecting information on the energy usage from the at least one store. 24. The system according to claim 23, wherein the central management server comprises:
Acquiring information on the energy usage amount through the data center server,
And controls the other stores so that facility management schedules corresponding to the selected stores are shared by other stores in the group including the selected stores through the data center server. Obtaining information on energy usage during a specific period of time of at least one store installed with energy consuming equipment;
Classifying the at least one store into at least one group based on a classification criterion;
Selecting a shop that represents an optimal amount of energy usage for each of the at least one group based on the information on the energy usage, the facility being controlled based on a predetermined facility control schedule to consume energy; And
And transmitting an equipment control schedule corresponding to the selected shop to another shop in a group including the selected shop.

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