JP2019101810A - Low-efficiency facility estimation device - Google Patents

Abstract

To estimate a customer facility with low energy efficiency on the basis of customer energy consumption.SOLUTION: A low-efficiency facility estimation device 1 includes a specification unit configured to specify a group to which a customer belongs on the basis of attribute information of the customer, a decomposition unit configured to decompose customer's energy consumption according to application, a determination unit configured to determine, for each period, a level for each application of the customer's energy consumption in the group, and an estimation unit configured to estimate a low-efficiency facility on the basis of a determination result by the determination unit.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a low efficiency equipment estimation device.

  In the past, services have been provided to provide advice for energy saving to customers based on their energy usage. In this service, replacement of customer equipment and change of usage of customer equipment are proposed when energy consumption of the customer is larger than average.

Patent No. 6159898 specification Patent No. 6134458 specification

  However, in the above conventional service, even if the customer's energy consumption is higher than the average, the cause (low energy efficiency of the customer equipment) can not be known, so the client can provide appropriate advice to the customer. It was difficult. As a result, in the above-mentioned conventional service, the customer is inappropriately advised that the replacement of the gas stove is proposed even though the power consumption is increased due to the low energy efficiency air conditioner. There was a possibility of being offered.

  This invention is made in view of said subject, and it aims at estimating the customer installation with low energy efficiency based on a customer's energy consumption.

  The low-efficiency equipment estimation apparatus according to one embodiment includes a specifying unit that specifies a group to which the customer belongs based on attribute information of the customer, a decomposition unit that decomposes the energy consumption of the customer for each application, and A determination unit that determines, for each period, a level of the energy usage of the customer in a group, and an estimation unit that estimates low efficiency equipment based on the determination result by the determination unit.

  According to embodiments of the present invention, customer equipment with low energy efficiency can be estimated based on the customer's energy usage.

The figure which shows an example of the hardware constitutions of a low efficiency installation estimation apparatus. The figure which shows an example of a function structure of a low efficiency installation estimation apparatus. The figure which shows an example of the customer information memorize | stored in the customer information storage part. The figure which shows an example of the energy consumption of the customer memorize | stored in the customer information storage part. The figure which shows an example of the group information memorize | stored in the group information storage part. The figure which shows an example of the average energy usage of the group memorize | stored in the group information storage part. The figure which shows an example of the level at the time of using the 2nd determination method together. The figure which shows an example of the information memorize | stored in the low efficiency installation memory | storage part. The flowchart which shows an example of operation | movement of a low efficiency installation estimation apparatus.

  Hereinafter, embodiments of the present invention will be described with reference to the attached drawings. In addition, regarding the description of the specification and drawings according to each embodiment, the same reference numerals are given to components having substantially the same functional configuration, and the overlapping description will be omitted.

  The low efficiency equipment estimation device 1 according to one embodiment will be described with reference to FIGS. 1 to 9. The low efficiency equipment estimation apparatus 1 according to the present embodiment is an apparatus for estimating the state of equipment provided in a customer's residence based on the amount of energy such as gas or power used by the customer at a residence. In the present embodiment, a customer is assumed to be a consumer of a service providing advice for energy saving, but the customer is not limited to this. The low efficiency equipment estimation device 1 is configured by a general-purpose computer such as a PC (Personal Computer), a server, a smartphone, and a tablet terminal.

  First, the hardware configuration of the low efficiency equipment estimation device 1 will be described. FIG. 1 is a diagram showing an example of a hardware configuration of the low efficiency equipment estimation device 1 according to the present embodiment. The low-efficiency equipment estimation apparatus 1 shown in FIG. 1 includes a central processing unit (CPU) 101, a read only memory (ROM) 102, a random access memory (RAM) 103, a hard disk drive (HDD) 104, and an input device 105. And the display device 106. The low efficiency equipment estimation device 1 also includes a communication interface 107 and a bus 108.

  The CPU 101 executes each program to control each component of the low efficiency equipment estimation device 1 and realizes the function of the low efficiency equipment estimation device 1.

  The ROM 102 stores programs executed by the CPU 101 and various data.

  The RAM 103 provides the CPU 101 with a work area.

  The HDD 104 stores programs executed by the CPU 101 and various data.

  The input device 105 inputs information corresponding to the user's operation into the low-efficiency equipment estimation device 1. The input device 105 may be a touch panel, a keyboard, a mouse, a hardware button, or the like.

  The display device 106 displays a screen according to the user's operation. The display device 106 may be a liquid crystal display, an organic EL (Electro Luminescence) display, or the like.

  The communication interface 107 connects the low efficiency equipment estimation device 1 to a network such as the Internet or a LAN (Local Area Network). The low efficiency equipment estimation device 1 is communicably connected to an external device via a network.

  The bus 108 mutually connects the CPU 101, the ROM 102, the RAM 103, the HDD 104, the input device 105, the display device 106, and the communication interface 107.

  Note that the hardware configuration of the low efficiency equipment estimation device 1 is not limited to the example of FIG. 1. In the example of FIG. 1, although the low efficiency facility estimation device 1 is configured by one computer, it may be configured as a system (a low efficiency facility estimation system) including a plurality of computers connected by wire or wirelessly .

  Next, the functional configuration of the low efficiency equipment estimation device 1 will be described. FIG. 2 is a diagram showing an example of a functional configuration of the low efficiency equipment estimation device 1. The low efficiency equipment estimation device 1 of FIG. 2 includes a customer information storage unit 11, a group information storage unit 12, a specification unit 13, a disassembly unit 14, a determination unit 15, a low efficiency equipment storage unit 16, and an estimation unit. And 17, an advice storage unit 18, and an advice unit 19. The identifying unit 13, the disassembling unit 14, the determining unit 15, the estimating unit 17, and the advice unit 19 are realized by the CPU 101 executing a program. Further, the customer information storage unit 11, the group information storage unit 12, the low efficiency equipment storage unit 16, and the advice storage unit 18 are realized by at least one of the ROM 102, the RAM 103, and the HDD 104.

  The customer information storage unit 11 stores customer information of each customer. The customer information is information on the customer, and includes a customer ID, attribute information, and equipment information. The customer ID is identification information of the customer. A customer whose customer ID is 00X is referred to as a customer 00X. The attribute information is information indicating an attribute of the customer, and includes at least one of a residence type, a residence structure, and the number of living persons. The customer information may also include the customer's name, age, gender, address, and contact information. Equipment information is information on customer equipment. The customer equipment is equipment provided at the customer's residence. The equipment information includes the type of heating equipment provided in the customer's residence.

  FIG. 3 is a diagram showing an example of the customer information stored in the customer information storage unit 11. Each row in FIG. 3 corresponds to customer information of each customer. In the example of FIG. 3, the customer information includes a customer ID, a name, attribute information (house type, house structure, and the number of people living in the house), and a type of heating device (heating type). For example, the name of the customer 001 is AAA, the type of residence is a single-family house, the structure of the residence is wooden, the number of living persons is 3, and the heating device is electric heating.

  Further, the customer information storage unit 11 stores the amount of energy used by each customer (the amount of energy used by each customer at the residence). The customer's energy usage includes at least one of the customer's gas usage and power usage. The customer's energy usage is stored hourly, daily, weekly, monthly or seasonally.

  FIG. 4 is a diagram showing an example of the energy consumption of the customer stored in the customer information storage unit 11. In the example of FIG. 4, the power consumption of a certain customer is shown monthly. For example, this customer's January power consumption is 527 kWh.

  The group information storage unit 12 stores group information of each group. A group here is a set of customers classified based on attribute information. Group information is information on a group and includes group ID and attribute information. The group ID is identification information of a group. Hereinafter, a group whose group ID is 10X is referred to as a group 10X. The attribute information is information indicating an attribute of a customer belonging to a group, and includes at least one of a residence type, a residence structure, and the number of living persons. The group information may also include the name of the group.

  FIG. 5 is a diagram showing an example of group information stored in the group information storage unit 12. Each row in FIG. 5 corresponds to group information of each group. In the example of FIG. 5, the group information includes the group ID, the name, and the attribute information (house type, house structure, and the number of people living in the house). For example, the name of the group 101 is a wooden house 1, the type of house is a single house, the structure of the house is wooden, and the number of living persons is one.

  The group information storage unit 12 also stores the average energy usage of each group (average value of the energy usage of the customers belonging to each group). The average energy usage of the group includes at least one of the average gas usage of the group (average of the gas usage of the customers belonging to the group) and the average power usage (the average of the power consumption of the customers belonging to the group) included. The average energy usage is stored hourly, daily, weekly, monthly or seasonally.

  FIG. 6 is a diagram showing an example of the average energy usage of the group stored in the group information storage unit 12. In the example of FIG. 6, the average power usage of a certain group and the average power usage for each application are shown monthly. For example, the average power consumption for this group in January is 503 kWh.

  The identifying unit 13 identifies a group to which the customer belongs based on the attribute information of the customer. Hereinafter, the customer to be processed by the low-efficiency equipment estimation apparatus 1 is referred to as a target customer. In this case, the identification unit 13 reads out the attribute information of the target customer from the customer information storage unit 11, refers to the group information storage unit 12, and the target customer makes a group having attribute information that matches the attribute information of the target customer. Identify as a group to which you belong. For example, when the customer 001 in FIG. 3 is a target customer, the group 103 is identified as a group to which the target customer belongs.

  The decomposition unit 14 decomposes the energy usage of the target customer and the average energy usage of each group for each application (calculates the energy usage and average energy usage for each application). For example, the decomposition unit 14 may decompose the power consumption of the target customer and the average power consumption of each group into “base”, “air conditioning”, and “lights / outlets, etc.”. In addition, the disassembling unit 14 may divide “lighting, outlet, etc.” into “AV (Audio Visual)”, “housekeeping”, “lighting”, and “kitchen”.

  The “base” is power that is constantly consumed, and includes power consumption of always-on customer equipment such as a refrigerator and standby power of each customer equipment. "Air conditioning" is the power consumption of air conditioners such as air conditioners. "Lighting, outlet etc." is a generic term for power consumption that is neither "base" nor "air conditioning". "AV" is the power consumption of the AV device. "Housework" is the power consumption of household appliances (such as vacuum cleaners, washing machines, dryers, and irons) related to household chores other than cooking. "Lighting" is the power consumption of the lighting equipment. "Kitchen" is the power consumption of kitchen equipment (microwave oven, ventilation fan, oven, etc.).

  In addition, the decomposition unit 14, the gas consumption of the target customer and the average gas consumption of each group may be decomposed into “heating”, “water heater”, and “others”. "Heating" is the gas consumption of gas heating equipment. "Water heater" is the gas consumption of the water heater. "Others" is a generic term for gas consumption not divided into the above-mentioned applications.

  The decomposition unit 14 may decompose the power consumption amount and the gas consumption amount for each application, or may decompose only one of them for each application. The average energy usage of each group may be decomposed in advance for each application and stored in the group information storage unit 12.

  The decomposition unit 14 can use any existing method as a method of decomposing the amount of energy used. For example, the decomposition unit 14 may decompose a value (for example, a value obtained by adding a buffer to the minimum value) according to the minimum value of the energy consumption of the target customer in a certain period as a “base” in the period. In addition, the decomposition unit 14 may decompose a value corresponding to the difference between the summer energy consumption and the spring or autumn energy consumption as summer “air conditioning”. Similarly, the decomposition unit 14 may decompose a value corresponding to the difference between the amount of energy used in winter and the amount of energy used in spring or autumn as “air conditioning” for winter. The decomposition unit 14 may decompose the amount of energy used that has not been decomposed into the “base” or the “air conditioning” into “lights, outlets, etc.”. Note that the method of decomposing the amount of energy used by the decomposing unit 14 is not limited to the above example.

  The determination unit 15 determines, for each period, the level for each application of the energy consumption of the target customer in the group to which the target customer belongs. The level is determined, for example, hourly, daily, weekly, monthly or seasonally. The determination unit 15 may determine the levels of power consumption and gas usage for each application, or may determine only one of them for each application, and the other may determine without distinguishing the application. . In the case of determining the level of energy usage without distinguishing the application, a second determination method described later may be used.

  First, a first determination method for determining the level of energy usage of application Y in period X of the target customer will be described.

  In the first determination method, the determination unit 15 determines, for example, the ratio R1 [%] of the energy usage of the usage Y in the period X of the target customer to the energy usage in the period X of the target customer, and the threshold Rth [%] The level of application Y in period X of the target customer is determined by comparing. The threshold Rth may be set in advance for each period or application, or the ratio of the average energy consumption of application Y in period X of group Z to the average energy consumption in period X of group Z to which the target customer belongs It may be set on the basis of R2 [%]. When n threshold values Rth are set, the level is determined to be one of (n + 1) values.

  Further, the determination unit 15 may determine the level of the application Y in the period X of the target customer by comparing the rank r1 of the ratio R1 in the group Z and the threshold rth. In this case, the relationship between the ratio R1 in the group Z and the order may be stored in the group information storage unit 12. The threshold rth is preset for each period or for each application. When n threshold values rth are set, the level is determined to be one of (n + 1) values.

  Here, consider the case where one threshold Rth is set. In this case, the determination unit 15 determines whether the ratio R1 of the usage Y in the period X of the target customer is equal to or more than the threshold Rth. Thus, the level is determined to be either of two values. The level when the ratio R1 is equal to or greater than the threshold Rth is referred to as “H”, and the level when the ratio R1 is less than the threshold Rth is referred to as “L”. “H” means that the energy consumption of application Y in period X of the target customer is relatively large in group Z, and “L” indicates that the energy consumption of application Y in period X of the target customer is It means that there is relatively little in group Z.

  For example, when the “base” power consumption in January of the target customer is 132 kWh, in the example of FIG. 4, the ratio R1 of the “base” power consumption in January of the target customer is 25% (= 132 kWh / 527 kWh). On the other hand, when the average power consumption of “base” in January of group Z to which the target customer belongs is 101 kWh, in the example of FIG. 6, the ratio R2 of average power consumption of “base” in January of group Z is It becomes 20% (= 101 kWh / 503 kWh). If the threshold Rth is 110% of the ratio R2, ie 22% (= 20% x 110%), then R1 R Rth, so the level of the “base” power usage of the target customer in January is “H Is determined.

  Next, a second determination method of determining the level of energy usage in period X of the target customer will be described. The second determination method is used in combination with the first determination method. When the level is determined to be any of n values by the first determination method and the level is determined to be any of m values by the second determination method, the level of energy usage of usage Y in period X of the target customer Is determined to be one of (n × m) values.

  In the second determination method, the determination unit 15 may determine the level of the target customer in the period X by comparing the energy usage amount E1 of the target customer in the period X with the threshold value Eth. The threshold Eth may be set in advance for each period or for each application, or may be set based on the average energy usage E2 in the period X of the group Z to which the target customer belongs. When n threshold values Eth are set, the level is determined to be one of (n + 1) values.

  The determination unit 15 may also determine the level of the target customer in the period X by comparing the rank e1 of the energy usage amount E1 in the group Z with the threshold value eth. In this case, the relationship between the energy usage amount E1 in the group Z and the order may be stored in the group information storage unit 12. The threshold eth is preset for each period or for each application. When n threshold values eth are set, the level is determined to be one of (n + 1) values.

  Here, consider the case where two threshold values eth are set, that is, the case where threshold values eth1 and eth2 (eth1 is higher than eth2) are set. In this case, the determination unit 15 determines whether the rank e1 of the period X of the target customer is equal to or greater than the threshold eth1 and whether the rank e1 is equal to or greater than the threshold eth2. Thus, the level is determined to be one of three values. Level "L" when rank e1 is equal to or higher than threshold eth1, "M" level when rank e1 is greater than threshold eth2 and more than threshold eth2 and "H" level when rank e1 is less than threshold eth2 It is called. “L” means that the energy consumption E1 in the period X of the target customer is relatively small in the group Z, and “M” is the average energy consumption E1 in the period X of the target customer in the group Z “H” means that the energy consumption E1 in period X of the target customer is relatively large in group Z.

  For example, when the rank e1 of the power consumption E1 of the target customer is 20th, the threshold eth1 is 30th, and the threshold eth2 is 70th, the rank e1 is equal to or higher than the threshold eth1. The level of power consumption E1 is determined to be "L".

  FIG. 7 is a diagram showing an example of levels when the second determination method is used in combination. In the example of FIG. 7, the level is determined to be “H” or “L” by the first determination method, and is determined to be “H”, “M”, or “L” by the second determination method. As a result, in the example of FIG. 7, the energy usage level of application Y of period X of the target customer is “HH”, “HM”, “HL”, “LH”, “LM”, or “LL”. It is determined to be either.

  The low efficiency facility storage unit 16 stores the level of energy usage of each application (hereinafter referred to as “usage pattern”) in each period, the facility information, and the low efficiency facility in association with each other. Low efficiency equipment is customer equipment that is estimated to be energy inefficient. Also, the usage pattern may be a pattern consisting of hourly, daily, weekly, monthly or seasonal energy usage levels.

  FIG. 8 is a diagram showing an example of the information stored in the low efficiency equipment storage unit 16. In the example of FIG. 8, the usage pattern is a pattern consisting of the power usage level of each application in each season (spring, summer, autumn, and winter) and the gas usage level in each season. For example, the levels of energy use in May, August, October and January can be used as the levels of energy use in spring, summer, fall and winter, respectively. Moreover, "-" in FIG. 8 means that the item is arbitrary.

  The usage pattern 1 is a usage pattern in which the “base” power consumption is larger than that of other customers belonging to the same group (hereinafter, simply referred to as “other customers”) throughout the year. When the usage pattern of a certain customer 00X corresponds to usage pattern 1, it is considered that standby power of a refrigerator of the customer 00X is larger than standby power of a refrigerator of other customers. From this, since it is estimated that the energy efficiency of the refrigerator of the customer 00X is low, the refrigerator as the low efficiency equipment is associated with the usage pattern 1.

  The usage pattern 2 is a usage pattern in which the power consumption of “air conditioning” of summer and winter is larger than that of other customers, and the power consumption of summer and winter is larger than that of other customers. If the usage pattern of one customer 00X corresponds to usage pattern 2 and electric heating is provided at the residence of the customer 00X, the power consumption of the air conditioner (cooling and heating) of the customer 00X is that of the other customer. It is considered to be more than the power consumption of the air conditioner. From this, since it is estimated that the energy efficiency of the air conditioner of the customer 00X is low, the air conditioner is associated with the usage pattern 2 as the low efficiency equipment.

  Usage pattern 3 is a usage pattern in which the amount of power consumption of “air conditioning” in summer is larger than that of other customers, and the amount of power consumption of “air conditioning” in winter is not large as compared with other customers. . If the usage pattern of one customer 00X corresponds to usage pattern 3 and gas heating is provided at the residence of the customer 00X, the power consumption of the air conditioner (cooling) of the customer 00X is that of the air conditioner of the other customer. It is considered to be more than power consumption. From this, since it is estimated that the energy efficiency of the air conditioner of the customer 00X is low, the air conditioner is associated with the usage pattern 3 as the low efficiency equipment.

  The usage pattern 4 has more energy consumption in summer “air conditioning” compared to other customers, less energy consumption in winter “air conditioning” than other customers, and summer gas consumption There is not much in comparison with other customers, and there is more usage pattern of winter gas consumption than other customers. If the usage pattern of one customer 00X corresponds to usage pattern 4 and gas heating is provided in the residence of the customer 00X, the power consumption of the air conditioner (cooling) of the customer 00X is that of the air conditioner of the other customer. It is considered that the power consumption of the customer 00X gas heating is higher than the power consumption and the consumption of the gas heating gas of other customers. From this, it is estimated that the energy efficiency (heat insulation efficiency) of the heat insulation equipment (insulation window etc.) of the residence of the customer 00X is low, so the heat insulation equipment is associated with the usage pattern 4 as the low efficiency equipment. .

  The usage pattern 5 is a usage pattern in which the power consumption of “lighting” is larger than that of other customers throughout the year. If the usage pattern of a certain customer 00X corresponds to usage pattern 5, it is considered that the power consumption of the lighting equipment of the customer 00X is higher than the power consumption of lighting equipment of the other customers. From this, since it is estimated that the energy efficiency of the lighting equipment of the customer 00X is low, the lighting equipment is associated with the usage pattern 5 as the low efficiency equipment.

  The usage pattern 6 is a usage pattern in which the power consumption of “housekeeping” is larger than that of other customers throughout the year. When the usage pattern of a certain customer 00X corresponds to usage pattern 6, it is considered that the power consumption used by the customer 00X in the housework is higher than the power consumption consumed by the other customers in the housework. From this, it is estimated that the energy efficiency of the appliance used by the customer 00X in the housework is low, so the usage pattern 5 is associated with a washing machine (an appliance used in the housework) as a low efficiency facility There is. In addition, a dryer, a vacuum cleaner, or the like may be associated with the usage amount pattern 6 instead of or together with the washing machine.

  The usage pattern 7 is a usage pattern in which the gas usage is higher than other customers throughout the year. If the usage pattern of one customer 00X corresponds to usage pattern 7, the gas usage of the gas equipment used by the customer 00X throughout the year is greater than the gas consumption of the gas equipment used by other customers throughout the year Conceivable. From this, it is estimated that the energy efficiency of the gas equipment used by the customer 00X in the whole year is low, so the water consumption device (gas equipment used in the whole year) is associated with the usage pattern 7 as low efficiency equipment It is done.

  The usage pattern 8 shows that the amount of electricity used for “air conditioning” in summer and winter is less than in other customers, and the amount of gas used in winter is greater than other customers, and the amount of gas used in non-winter There are not many usage patterns compared to other customers. If the usage pattern of one customer 00X corresponds to usage pattern 8 and gas heating is provided at the residence of customer 00X, the gas consumption of gas heating at customer 00X is the gas heating of another customer It is thought that it is more than the gas consumption of From this, since it is estimated that the energy efficiency of the gas heating of the customer 00X is low, the gas fan heater (gas heating) is associated with the usage pattern 8 as a low efficiency facility. A water heater for floor heating may be associated with the usage pattern 8 instead of the gas fan heater or together with the gas fan heater.

  The combination of the usage pattern, the facility information, and the low efficiency facility is not limited to the example of FIG. For example, the usage pattern consisting of the level of gas usage for each application and the low efficiency equipment may be associated.

  The estimation unit 17 estimates the low efficiency equipment of the target customer based on the energy efficiency level (determination result) of each application in each period of the target customer determined by the determination unit 15 and the equipment information of the target customer. Do. Specifically, the estimation unit 17 refers to the low-efficiency equipment storage unit 16 and searches for a usage pattern to which the determination result of the target customer corresponds. If the usage pattern to which the determination result of the target customer falls is not found, the estimation unit 17 estimates that there is no low efficiency equipment. On the other hand, when the usage pattern to which the determination result of the target customer corresponds is found, it is checked whether the equipment information associated with the usage pattern matches the equipment information of the target customer. If the equipment information associated with the usage pattern corresponding to the target customer's determination result does not match the equipment information of the target customer, the estimation unit 17 estimates that there is no low efficiency equipment. On the other hand, when the equipment information associated with the usage pattern to which the determination result of the target customer corresponds corresponds to the equipment information of the target customer, the estimation unit 17 determines the usage pattern to which the determination result of the target customer corresponds. The low efficiency equipment associated with is estimated as the low efficiency equipment of the target customer. For example, when the level of the power consumption of "air conditioning" in January and August of the target customer is both "HH" and the equipment information of the target customer is "electric heating", in the example of FIG. An air conditioner is estimated as the low efficiency equipment of the target customer.

  The advice storage unit 18 stores previously prepared advice (message) for energy saving according to the low efficiency equipment. As advice, messages for recommending replacement of low-efficiency equipment, replacement, maintenance, or change of usage are prepared. In addition to the above, a message may be prepared to recommend the introduction of a new heat insulation facility (for example, a double sash) as advice according to the heat insulation facility. One piece of advice may be prepared for each low-efficiency facility, or a plurality of pieces of advice may be prepared.

  The advice unit 19 provides the customer with advice according to the low efficiency equipment of the target customer estimated by the estimation unit 17. Specifically, the advice unit 19 refers to the advice storage unit 18 to acquire an advice according to the low efficiency equipment of the target customer, and provides the acquired advice to the customer. As a method of providing the advice to the customer, a method of displaying the advice on the display device 106 or a method of transmitting the advice by email to the customer can be considered.

  Next, the operation of the low efficiency equipment estimation device 1 will be described. FIG. 9 is a flow chart showing an example of the operation of the low efficiency equipment estimation device 1.

  First, the user of the low-efficiency equipment estimation device 1 selects a target customer from among the customers whose customer information is stored in the customer information storage unit 11 (step S101).

  When the target customer is selected by the user, the specifying unit 13 acquires attribute information of the target customer from the customer information storage unit 11 and refers to the group information (FIG. 5) stored in the group information storage unit 12. A group to which the target customer belongs is specified (step S102).

  Next, the identification unit 13 acquires, from the group information storage unit 12, the average energy usage (FIG. 6) of the group to which the target customer belongs (step S <b> 103). The identifying unit 13 passes the acquired average energy usage to the disassembling unit 14.

  On the other hand, when the target customer is selected by the user, the disassembly unit 14 acquires the energy usage of the target customer from the customer information storage unit 11, and disassembles the acquired energy usage for each application (step S104). The decomposition unit 14 passes the decomposed energy usage amount to the determination unit 15.

  In addition, when the decomposition unit 14 receives the average energy usage of the group to which the target customer belongs from the identification unit 13, the decomposition unit 14 decomposes the received average energy usage for each application (step S105). The decomposition unit 14 passes the decomposed average energy usage amount to the determination unit 15.

  When the determination unit 15 receives the energy usage amount and the average energy usage amount disassembled for each application from the decomposition unit 14, the determination unit 15 uses each of the first determination method and the second determination method to determine each of the target customers in each period. The level of energy usage of the application is determined (step S106). The determination unit 15 passes the determination result to the estimation unit 17.

  When the estimation unit 17 receives the determination result from the determination unit 15, the estimation unit 17 acquires the facility information of the target customer from the customer information storage unit 11, and refers to the low efficiency facility storage unit 16 (FIG. 8). The equipment is estimated (step S107). If the estimation unit 17 estimates that there is no low efficiency equipment (NO in step S108), the low efficiency equipment estimation device 1 ends the operation. At this time, a message may be provided to the customer that there is no low efficiency equipment. On the other hand, when the estimation unit 17 estimates one of the customer equipments as the low efficiency equipment (YES in step S108), the estimation unit 17 passes the estimation result to the advice unit 19.

  When the advice unit 19 receives the estimation result from the estimation unit 17, the advice unit 19 refers to the advice storage unit 18 to obtain advice according to the low efficiency equipment of the target customer, and provides the acquired advice to the customer (step S109). .

  As described above, according to this embodiment, the low efficiency equipment of the target customer can be estimated based on the energy usage of the target customer. Low efficiency equipment corresponds to the increase in energy consumption of the target customers. Therefore, when the energy consumption of the target customer is large, it is possible to provide more appropriate advice to the target customer by providing the target customer with the advice according to the low efficiency equipment.

  In the present embodiment, it is possible not to use customer's equipment information. In this case, in the example of FIG. 8, the low efficiency equipment corresponding to the usage patterns 1, 5 to 7 can be estimated.

  Moreover, in the present embodiment, it is also possible to use only the power consumption or gas consumption of the customer. In this case, in the example of FIG. 8, low efficiency equipment corresponding to usage patterns 1 to 3 and 5 to 7 can be estimated.

  Note that the present invention is not limited to the configurations shown here, such as combinations with other elements in the configurations and the like described in the above embodiments. These points can be changed without departing from the spirit of the present invention, and can be appropriately determined according to the application form.

1: Low efficiency equipment estimation device 11: Customer information storage unit 12: Group information storage unit 13: Identification unit 14: Decomposition unit 15: Determination unit 16: Low efficiency equipment storage unit 17: Estimation unit 18: Advice storage unit 19: Advice Department

Claims (6)

An identifying unit that identifies a group to which the customer belongs based on the attribute information of the customer;
A decomposition unit for decomposing the customer's energy consumption according to application;
A determination unit that determines, for each period, a level for each application of the energy usage of the customer in the group;
An estimation unit configured to estimate low efficiency equipment based on the determination result by the determination unit;
Low-efficiency equipment estimation device equipped with The low efficiency equipment estimation apparatus according to claim 1, wherein the estimation unit estimates the low efficiency equipment based on equipment information of the customer. The low efficiency equipment estimation apparatus according to claim 1, further comprising an advice unit that provides advice to the customer according to the estimation result by the estimation unit. The said advice part is at least one of the message which recommends replacement | exchange of the said low efficiency installation of the said customer, replacement by replacement, maintenance, change of a utilization method, and introduction of a new installation as said advice. Low-efficiency equipment estimation device. 5. The low-efficiency facility storage unit according to claim 1, further comprising: a low-efficiency facility storage unit that associates and stores the level of the energy usage of each application in each period and the low-efficiency facility. Low efficiency equipment estimation device. The low-efficiency equipment estimation device according to any one of claims 1 to 5, wherein the attribute information includes at least one of a residence type of the customer, a residence structure, and the number of people living together.

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