KR101671281B1 - Sensing system for household meter - Google Patents

Abstract

According to the present invention, validity of current metering information can be determined by using previous metering information, and, when a building is new, a factor matrix has been generated based on energy efficiency or consumption calculated in a vacant state of the building, and validity of metering information for each household can be determined by referring to the factor matrix. Accordingly, the present invention proposes a system for detecting abnormal usage of a metering device for a multi-dwelling unit, which can accurately determine validity of metering information regardless of whether a building is new or old. For this purpose, the system for detecting abnormal usage of a metering device for a multi-dwelling unit according to the present invention may comprise: a time comparison unit which compares current metering information of a multi-dwelling unit with previous metering information, and determines validity of the current metering information based on whether a result of the comparison corresponds to a preset similarity range; and a factor matrix determination unit which, when the multi-dwelling unit is a new building, divides the multi-dwelling unit into a plurality of sections, and determines the validity of the current metering information by applying a factor matrix calculated for energy efficiency for each of the sections in a vacant state.

Description

{Sensing system for household meter}

More particularly, the present invention relates to a system for detecting the abnormal use of a meter reading in a home, and more particularly, to a meter reading system for determining the validity of the meter reading information at the present time using the meter reading information at a previous time, And a system for detecting abnormal use of a meter reading device for a home office that calculates energy efficiency or meter reading information for each section in a state where the user is not in the house and judges the validity of the meter reading information at the present time.

The remote meter reading system provides the meter reading information, which is a value obtained by measuring the power consumption from a remote place without visiting the customer, to the meter reading server by using a telephone line, a power line or a wired / wireless network communication, And generates billing information according to the result and provides it to each household that has been inspected. The remote meter reading system can be operated without difficulty if the meter reading device installed in each household provides normal meter reading information. As a remote meter reading system for meter reading information of a household remotely without a sensor, a registered patent KR10-1457208 has been proposed. In the registered patent KR10-1457208, the meter provides LP (Load Profile) information to the server, and the server checks and receives meter reading information without missing by referring to the LP information, thereby improving the reliability of the remote meter reading system. This remote meter reading system has an advantage in that meter reading information is not missing compared to the existing remote meter reading system which transmits meter reading information from a meter to a server. However, when a meter reading device installed in a multi-family house or a building transmits abnormal meter reading information, for example, when the meter reading information surges or plunges, it is impossible to analyze and judge the cause thereof. none.

SUMMARY OF THE INVENTION [0006]

1) Judging the validity of the meter reading information by using the meter reading information of the apartment,

2) If the apartment is a new building, apply the factor matrix for energy efficiency or consumption when the apartment is in the state of no occupancy,

(3) A system for detecting abnormal use of a meter reading device for a home apartment which estimates energy consumption by referring to the number of family members, the number of children or the number of children, and determines the validity of the meter reading information based on the number of family members after moving in.

According to the present invention, the above object can be attained by providing a time comparison unit for comparing the current time meter reading information of a multi-family house with the previous time meter reading information and judging the validity of the meter reading information according to a predetermined similar range, A factor matrix determining unit for determining the validity of the current meter reading information by dividing the apartment house into a plurality of sections and applying factor matrices calculated for the energy efficiency of each section in the state of no entry .

According to the present invention, it is possible to determine the validity of the meter reading information at the current time using the meter reading information at the previous time, and to generate the factor matrix based on the energy efficiency or the consumption amount calculated when the new building is in the non- It is possible to judge the validity of the meter reading information for each household by referring to this. Therefore, the present invention can accurately determine the validity of meter reading information whether it is a new building or a new building.

1 is a conceptual diagram of a system for detecting abnormal use of a meter reading device for a home according to an embodiment of the present invention.
Figs. 2 to 5 show reference figures for explaining characteristics of each section when the apartment house is divided into a plurality of sections. Fig.
FIG. 6 is a flowchart illustrating a method for detecting abnormal use of a meter reading device according to an embodiment of the present invention.

The multi-family house referred to in this specification may refer to various types of buildings except apartments, multi-family houses, villas, buildings, and single-family houses.

The meter reading device referred to herein may refer to either gas, electric water, and heating.

Hereinafter, the present invention will be described in detail with reference to the drawings.

1 is a conceptual diagram of an abnormality detection system (hereinafter referred to as a "detection system") of a meter reading device for a home according to an embodiment of the present invention.

Referring to FIG. 1, the sensing system 100 according to the embodiment may be connected to a meter reading device (for example, reference numeral 20) installed in the apartment houses 10a to 10n or a wired network or a wireless network.

The meter reading apparatus 20 may be provided individually for each of the apartment houses 10a to 10n or individually for each household constituting the apartment houses 10a to 10n. The meter reading device 20 is configured to transmit the meter reading information to the sensing system 100 according to the embodiment without visiting the meter reading source. To this end, meter reading device 20 conveys the results of individual meter reading for gas, electricity, heating, and water to one data concentrator (not shown), and the data concentrator is connected to sensing system 100, Or,

Or the meter reading device 20 for each of gas, electricity, heating, and water may provide the meter reading information to the sensing system 100 by using a wired network (including PLC (Power Line Communication)) for each household. 1, the meter reading device is shown only in the apartment house 10a, but the meter reading device 20 may be disposed one by one for each apartment house 10a to 10n or one or two for each household belonging to each apartment house 10a to 10n Or more. It is to be noted that this is merely for the convenience of explanation and understanding of the present invention, and does not mean that only the meter reading device 20 is disposed in the apartment houses 10a to 10n.

The apartment houses 10a to 10n may be partitioned into a plurality of sections. In Fig. 1, the apartment houses 10a to 10n are illustrated as being divided into sections S1 to S9. The sections S1 to S9 are partitioned according to the energy efficiency of the apartment houses 10a to 10n and the outer sections S1, S2, S3, S4, S7 S8 and S9 in the case of the section S5, S2, S3, S4, S7, S8, and S9, or to receive the heat of the surrounding sections S1, S2, S3, S4, S7 S8, and S9. S1, S2, S3, S4, S7 S8 and S9 can be indirectly heated by the heat when the surrounding sections S1, S2, S3, S4, The heat loss of the section S5 is reduced by the heating of the heat exchanger 5, thereby reducing the heating cost. In other words, the section S5 is superior to the surrounding sections S1, S2, S3, S4, S7 S8 and S9 in the winter heating efficiency, which can be said to be "excellent in energy efficiency". The apartment houses 10a to 10n may show various energy consumption patterns depending on the positional relationship of the sections S1 to S9. For example, some sections may have less heat due to summer outside temperature, and some sections may have less heat loss during winter. The features of these sections (S1 to S9) will be described below with reference to FIGS. 2 to 5 together.

Figs. 2 to 5 show reference figures for explaining characteristics of each section when the apartment house is divided into a plurality of sections. Fig.

2 shows an example in which the apartment house 10a is divided into a plurality of sections S1 to S9.

The housing 10a shown in Fig. 2 is divided into three lateral regions A1, A2 and A3 in the transverse direction and three longitudinal regions B1, B2 and B3 in the longitudinal direction, The housing 10a is divided into nine sections S1 to S9.

The lateral areas A1, A2 and A3 and the longitudinal areas B1, B2 and B3 can be partitioned according to the degree to which sunlight or the outer circumference of the apartment house 10a is affected by the draft. Generally, the lateral areas A1 and A3 may correspond to households located at both ends of the apartment houses 10a to 10n. These households are characterized by high heat loss due to draft, resulting in high heating energy consumption in winter.

Sections S1, S2, S3, S7, S8 and S9 of the sections S1 to S9 delimited by the lateral regions A1, A2 and A3 and the longitudinal regions B1, This corresponds to the higher section. The section S4 and the section S6 are smaller in the amount of the draft than the sections S1, S2, S3, S7, S8 and S9, but in the case of the section S4, (S6) is likely to infiltrate cold air from the ground. As described above, even in the case of one apartment house 10a, the heat input and the energy efficiency of each section S1 to S9 are different.

Next, Figs. 3 and 4 show the sections S1 through S9 separated by Fig. 2. Fig. 3 and Fig. 4 show the sections S5 through S9 partitioned by Fig. And is protected.

On the other hand, in the section (S3), heat loss is increased due to the heat loss due to the draft and the cold air from the ground, so that the energy efficiency in winter is much lower than that in the section (S5).

Referring to this characteristic of each of the sections S1 to S9, the energy usage of each of the sections S1 to S9 is summarized, and the result as shown in FIG. 5 can be obtained.

FIG. 5 shows a ratio of energy usage to other sections (the remaining sections except S5) based on the section S5. In the present embodiment, the table as shown in Fig. 5 is referred to as a "factor matrix ".

5, when "1" is given based on the section S5 and the ratio is calculated with respect to the energy consumption of the other section (the remaining section except for S5)

- Section < RTI ID = 0.0 > S1 &

Section S2 is 1.3 < RTI ID = 0.0 >

- Sense (S3) is 1.6

- Section S4 is 1.2

- Section (S6) is 1.3

- Section (S7) is 1.5

- Section (S8) is 1.3

- Section (S9) shows a ratio of 1.6.

The reason why the section S5 is set as the reference point is that the energy efficiency of the section S5 is determined to be the best. In the section S5, the heat energy loss is minimized and the section S4 serves as a roof because the other sections (the sections other than S5 are formed) form a heat insulating layer. Further, since the section S6 forms a heat insulating layer that blocks the geothermal heat and cold air, the heating energy consumption in winter is small. In addition, the other sections (the remaining sections except S5) serve as a windshield for blocking the draft, which corresponds to the section with the least energy loss in the apartment house 10a. Therefore, the energy efficiency of the other section (the remaining section except for S5) is calculated based on the section S5, and the calculation unit can be expressed as a ratio.

Meanwhile, in order to apply the energy efficiency for each of the sections S1 to S9 illustrated in FIG. 5 to the actual energy consumption, it is necessary to calculate an actual value of the energy consumption after cooling and heating in the apartment house 10a.

Here, the present applicant proposes to measure the energy usage amount before the tenant moves in after the completion of the apartment 10a in order to measure the energy consumption.

This is because the energy efficiency of each of the sections S1 to S9 constituting the apartment house 10a can be most accurately calculated when the heating device is operated in a state in which the tenant does not occupy the apartment 10a.

If the tenant moves into the common house 10a, the tenant may install the heat insulating material for the heat insulation within the household, or place the proper furniture including the carpet and the curtain to minimize the heat loss in the household.

In this case, it is obvious that the energy efficiency for each of the sections (S1 to S9) may not be calculated accurately.

Therefore, the present applicant proposes to run a heating apparatus before a tenant moves into a household or to run a cooling apparatus to calculate the energy efficiency of each section of the apartment house 10a.

As described with reference to Figs. 1 to 5, the present applicant's sensing system 100 divides each apartment house 10a to 10n into a plurality of sections S1 to S9, S9), the energy efficiency of the other section (the section other than the section S5) is expressed as a ratio based on the section S5 having the best energy efficiency. Then, the energy efficiency is calculated before the tenant occupies the apartment houses 10a to 10n, and then it is judged whether the meter reading information of each household constituting the apartment houses 10a to 10n is applied to the energy efficiency of each section , The validity of the meter reading information can be judged. The validity of the meter reading information can be determined according to whether the meter reading information for each household corresponds to a ratio expressed on the basis of the section S5.

For example, assuming that the electricity used in the household belonging to the section S5 is 100 Kw, the household belonging to the section S1 consumes 150 Kw under the same heating and cooling conditions. At this time, the sensing system 100 may determine whether the energy meter information of the generation belonging to the section S1 is valid according to the conditions according to the following equations.

1) It is preferable that the energy consumption X of the section S1 is 100 Kw <X <150 Kw, based on 100 Kw of the energy consumption of the section S5,

2) The energy consumption rate (Y) of section S1 should satisfy 100% + C <y <150% + C based on 100Kw of energy consumption of section S5.

(Here, C is a value that is increased or decreased according to the number of residents in a household or the number of children in a household)

For example, if the number of residents in a household is 2-3, the C value may increase by ± 10%, and if the number of residents within the household is 4-5, the C value may increase by ± 25%. Here, the range of the C value may be 0 <C <N (where N is a real number).

The sensing system 100 may include a meter reading information acquisition unit 110, a viewpoint comparison unit 120, a factor matrix determination unit 130, and a database 140.

The meter reading information obtaining unit 110 is connected to the meter reading apparatus 20 through a wired / wireless network and acquires the meter reading information every predetermined time (eg, daily, weekly, monthly, etc.) from the meter reading apparatus 20, The real-time meter reading information can be obtained from the real-time meter reading unit 140 and stored in the database 140.

The time-of-day comparing unit 120 compares the meter reading information of an abnormal pattern among the meter reading information transmitted from each household constituting the apartment houses 10a to 10n or the apartment houses 10a to 10n (for example, when the electric power consumption is 10w / (10 kW / h) is collected, the database 140 is inquired to determine the previous year of the apartment house 10a to 10n (or the household constituting the apartment house, (Hereinafter, referred to as previous time meter reading information), it is possible to determine whether the meter reading information at the present time having an abnormal pattern is valid.

The viewpoint comparison unit 120 may determine based on whether the current time meter information is within the range of 80% to 120% based on the previous time meter information (A).

For example, if the meter reading information for the electricity on January 1, 2014 is 10 Kw per day, the similar range (D) of the current meter reading information (B) on January 1, 2015 is 8 Kw <D <12 Kw And can be judged to be valid if the current meter reading information B is in the range of 8 Kw to 12 Kw.

If the apartment houses 10a to 10n are expanded or expanded so that previous time meter information does not exist in the database 140, the time comparison unit 120 is deactivated and the validity of the meter information is checked by the factor matrix determiner 130 .

The factor matrix determiner 130 refers to the energy efficiency of each section S1 to S9 around the section S5 of the apartment house 10a to 10n and calculates the energy consumption of each section S1 to S9 It is possible to determine that the meter reading information is not valid when the meter reading information provided by the meter reading device 20 deviates from the range. The validity can be judged according to the conditions of 1) and 2) described above. The factor matrix determination unit 130 is effective when it is difficult to compare energy consumptions or consumption ratios between the same points of time within one year after the apartment houses 10a to 10n have been built.

For example, the energy consumption amount around the section S5 of the apartment houses 10a to 10n or the energy consumption rate Y such as "100% + C <Y <150% + C" It may also refer to whether the consumption of information is included. If the meter reading information satisfies the condition 1) or 2), the meter reading information can be regarded as being included in the similar range based on the section S5 and judged to be valid.

FIG. 6 is a flowchart illustrating a method for detecting abnormal use of a meter reading device according to an embodiment of the present invention. 6 will be described with reference to Figs. 1 to 5. Fig.

Referring to FIG. 6, in the method of detecting abnormality in use of apartment house inspection according to the embodiment, the sensing system 100 first inquires the database 140 to determine whether the apartment buildings 10a to 10n are newly constructed buildings (S301). If the apartment house 10a to 10n is not a newly constructed building, the meter reading information obtaining unit 110 obtains the meter reading information from the meter reading device 20 and transmits the meter reading information to the time point comparing unit 120 (S306). The time comparison unit 120 acquires the previous time meter reading information at the same time (for example, when the meter reading information is transmitted on January 1, 2015, at the time of January 1, 2014) in the database 140, It can be determined whether the current meter reading information corresponds to a similar range (S307). The similarity range means that the present time meter reading information is in the range of 80% to 120% based on the previous time meter reading information. If the current meter reading information does not fall within the similar range, It can be determined that the information is not valid (S308).

Conversely, when the sensing system 100 inquires the database 140, the validity of the current meter reading information can not be determined using the time comparing unit 120 when the multi-storey houses 10a to 10n are new buildings. In this case, after the metering information is acquired from the meter reading device 20 (S302), it can be provided to the factor matrix determination unit 130 as the current meter reading information, and the current meter reading information is applied to the factor matrix (S303) , The factor matrix determination unit 130 divides the apartment house 10a to 10n into a plurality of sections S1 to S9 and calculates a ratio matrix for the other sections that are set based on the section S5 Ratio) to determine whether the current meter reading information corresponds to the factor matrix range (S304).

The factor matrix is expressed as a ratio, and the validity can be judged according to the criteria of 1) and 2) described above. When the present time meter reading information satisfies the criteria of 1) and 2) after applying the current meter reading information to the factor matrix, the meter reading information is valid (S305). On the other hand, if the meter reading information deviates from the 1) and 2) (S308).

10a to 10n: apartment house 20: meter reading device
100: detection system 110: meter reading information acquisition unit
120: point-in-time comparison unit 130:
140: Database

Claims (8)

A system for detecting abnormal use of a meter reading device in a home,
A time comparing unit comparing the meter reading information of the current point of time of the apartment with the meter reading information of the previous time and determining whether the meter reading information is valid according to a similar range set in advance when the apartment is not a new building;
Wherein when the apartment house is a newly built building in a state in which the apartment house is not in the occupied state, the apartment house which is a new building in a state of not being occupied is divided into a plurality of sections, a section having the highest energy efficiency among the plurality of sections is set as a reference section, Calculating a range of effective meter information by applying a factor matrix calculated by a ratio of energy efficiency of a peripheral section located around the reference section to energy efficiency of the reference section, A factor matrix determiner for determining whether the range is within a predetermined range;
/ RTI &gt;
Wherein the ratio of the energy efficiency to the energy efficiency is calculated by using the energy efficiency of each section calculated by operating the heating and cooling apparatus before the tenant moves in. The method according to claim 1,
The similar range includes,
Wherein the current time meter reading information is 80% to 120% based on the previous time meter reading information. The method according to claim 1,
The meter reading information,
Gas, electric power, heating, and water. delete The method according to claim 1,
The Factor Matrix,
Wherein the detection unit is applied to the same equilibrium apartment house or the same apartment house. The method according to claim 1,
The time-
A meter information pattern at an earlier point in time for each section or each generation,
And the validity of the meter reading information is judged by comparing the pattern with the meter reading information at the present time. The method according to claim 6,
The previous point-
A system for detecting abnormality in use of a meter reading device for a home, characterized in that it is delivered based on the present time point or corresponds to the previous year. The method according to claim 1,
Wherein the factor matrix comprises:
And the household information about the number of family members, the number of children, and the number of children in the household belonging to each section.

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