KR102044011B1 - Method for error correction of metering data and apparatus thereof - Google Patents

Method for error correction of metering data and apparatus thereof Download PDF

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KR102044011B1
KR102044011B1 KR1020120109951A KR20120109951A KR102044011B1 KR 102044011 B1 KR102044011 B1 KR 102044011B1 KR 1020120109951 A KR1020120109951 A KR 1020120109951A KR 20120109951 A KR20120109951 A KR 20120109951A KR 102044011 B1 KR102044011 B1 KR 102044011B1
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data
energy profile
meter
loading
outlier
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KR1020120109951A
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Korean (ko)
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KR20140044042A (en
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유윤식
이일우
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한국전자통신연구원
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C25/00—Arrangements for preventing or correcting errors; Monitoring arrangements

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Abstract

Disclosed are a method and an apparatus for correcting error of reading data. According to an embodiment of the present invention, detecting at least one of unloaded data and outlier data included in the energy profile through analysis of an energy profile and a customer profile, the type of meter reading data corresponding to the unloaded data. Loading the readout data corrected according to the energy profile and correcting the outlier data based on a range of the loading data included in the energy profile, and loading the corrected outlier data into the energy profile. Include. According to the present invention, the reliability of the meter reading data can be further improved.

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Description

METHOD FOR ERROR CORRECTION OF METERING DATA AND APPARATUS THEREOF}

The present invention relates to an error correction method and apparatus for meter reading data, and more particularly, to an error correction method and apparatus for meter reading data for correcting an error of data read in an automatic meter reading (AMR) system.

In general, AMR (Automatic Meter Reading) system includes a meter installed in homes, offices, factories, etc., AMR server that manages the meter reading and billing the customer based on the meter reading, and communication means for communication between the meter and the AMR server. The conventional AMR server receives the reading results of electricity, gas, water and the like collected by the electricity meter through a communication means, and charged the customer based on the received reading results.

In such an AMR system, due to the load concentration of the AMR server according to 1: N communication between the AMR server and the electricity meter and the reliability limit of the communication means, there is a problem in that the meter reading result cannot be reliably transmitted to the AMR server.

An object of the present invention for solving the above problems is to provide an error correction method of the meter data for correcting the error of the meter data based on the result of analyzing the error of the data.

Another object of the present invention for solving the above problems is to provide an error correction device of the meter data for correcting the error of the meter data based on the result of analyzing the error of the data.

In the error correction method of the meter data according to an embodiment of the present invention for achieving the above object, through the analysis of the energy profile and the customer profile, at least one of unloaded data and outliers included in the energy profile is detected Loading the read data corrected according to the type of the read data corresponding to the unloaded data to the energy profile when the unloaded data is detected and the energy profile when the outlier data is detected. Correcting the outlier data based on a range of the loading data included in the data, and loading the corrected outlier data into the energy profile.

The detecting of at least one of the unloaded data and the singular value data may include: when the customer resides at the meter reading place as a result of the analysis of the customer profile, the data of the energy profile of the customer living at the meter reading place is not included. Data having an arbitrary value indicating loading can be detected as unloaded data.

In the detecting of at least one of the unloaded data and the outlier data, the load data satisfying a predetermined criterion among the load data included in the energy profile may be detected as the outlier data.

In the loading of the corrected meter reading data into the energy profile, when the value of the meter reading data corresponding to the unloaded data is '0' and the metering flag indicates the first state, The method may further include requesting re-reading and loading re-reading data according to the re-reading request into the energy profile.

The loading of the corrected meter reading data into the energy profile may include: when the value of the meter reading data corresponding to the unloaded data exceeds '0' and the meter flag indicates the second state, the value is '0'. And loading meter data into the energy profile in excess of and indicating that the meter flag indicates a second state.

The loading of the corrected meter reading data into the energy profile may include: when the value of the meter reading data corresponding to the unloaded data exceeds '0' and the meter flag indicates a third state, the value is '0'. And loading metering data in the energy profile in excess of and indicating that the metering flag indicates a third state.

The loading of the corrected singular value data into the energy profile may include calculating a normal distribution of the energy profile having the singular value data, and correcting the singular value data to an arbitrary value according to the normal distribution. And if the energy profile for the corrected arbitrary value satisfies a preset criterion, loading the random value into the energy profile.

In the loading of the corrected meter reading data into the energy profile, the uncorrected meter reading data corresponding to the corrected meter reading data may be loaded into the energy profile.

The loading of the corrected singular value data into the energy profile may include loading uncorrected singular value data corresponding to the corrected singular value data into the energy profile.

An error correction apparatus for detecting data according to another embodiment of the present invention for achieving the above object, detects at least one of the unloaded data and the outlier data included in the energy profile based on the customer profile, the unloaded data Is detected, load the corrected reading data in the energy profile according to the type of reading data corresponding to the unloaded data, and if the outlier data is detected, based on the range of the loading data included in the energy profile. And a processing unit for correcting the singular value data, loading the corrected singular value data into the energy profile, and a storage unit storing data necessary for the processing of the processing unit and processing results by the processing unit.

Here, the processing unit, if the customer lives in the meter reading place as a result of the analysis of the customer profile, unloaded data having any value representing the unloading of the data in the energy profile for the customer living in the meter reading place Can be detected.

Here, the processing unit may detect, as outlier data, the loading data satisfying a predefined criterion among the loading data of the energy profile.

According to the present invention, it is possible to detect errors (eg, unloaded data, outlier value data, etc.) of the metering data through continuous monitoring, and to correct the errors of the metering data based on the detection result. The reliability of the metering data can be further improved. In addition, operators can make accurate charging based on reliable meter reading data.

1 is a block diagram illustrating an error correction system of meter reading data according to an exemplary embodiment of the present invention.
2 is a flowchart illustrating an error correction method of meter reading data according to an exemplary embodiment of the present invention.
3 is a flowchart illustrating an error correction method of meter reading data according to another exemplary embodiment of the present invention.
4 is a block diagram illustrating an error correction apparatus for reading data according to an embodiment of the present invention.
5 is a block diagram illustrating an error correction apparatus for reading data according to another exemplary embodiment of the present invention.

As the present invention allows for various changes and numerous embodiments, particular embodiments will be illustrated in the drawings and described in detail in the written description.

However, this is not intended to limit the present invention to specific embodiments, it should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention.

Terms such as first and second may be used to describe various components, but the components 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 the second component, and similarly, the second component may also be referred to as the first component. The term and / or includes a combination of a plurality of related items or any item of a plurality of related items.

When a component is referred to as being "connected" or "connected" to another component, it may be directly connected to or connected to that other component, but it may be understood that other components may be present in between. Should be. On the other hand, when a component is said to be "directly connected" or "directly connected" to another component, it should be understood that there is no other component in between.

The terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting of the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this application, the terms "comprise" or "have" are intended to indicate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, and one or more other features. It is to be understood that the present invention does not exclude the possibility of the presence or the addition of numbers, steps, operations, components, components, or a combination thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art. Terms such as those defined in the commonly used dictionaries should be construed as having meanings consistent with the meanings in the context of the related art and shall not be construed in ideal or excessively formal meanings unless expressly defined in this application. Do not.

Hereinafter, with reference to the accompanying drawings, it will be described in detail a preferred embodiment of the present invention. In the following description of the present invention, the same reference numerals are used for the same elements in the drawings and redundant descriptions of the same elements will be omitted.

1 is a block diagram illustrating an error correction system of meter reading data according to an exemplary embodiment of the present invention.

Referring to FIG. 1, an error correction system of meter reading data includes an operation server 10, at least one automatic meter reading (AMR) server 20, and at least one meter 30.

The primary server 10 may be connected to at least one AMR server 20 (for example, AMR server 1, AMR server 2, ... AMR server N) by wire or wirelessly, one AMR server 20 At least one meter 30 (eg, meter 1A, meter 1B, meter 1C) may be connected via wire or wirelessly.

Here, when the operation server 10, the AMR server 20 and the meter 30 forms a network through the wireless, the wireless network, for example, wireless Internet, such as WiFi (Wireless Fidelity), WiBro (Wireless Broadband) Portable Internet such as Internet (Internet) or World Interoperability for Microwave Access (WiMax), 2G mobile networks such as Global System for Mobile communication (GSM) or Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA) or CDMA2000 3G mobile networks, 3.5G mobile networks such as High Speed Downlink Packet Access (HSDPA) or High Speed Uplink Packet Access (HSUPA), and 4G mobile networks such as Long Term Evolution (LTE) or LTE-Advanced networks. have.

The meter 30 may read the amount of electricity, gas, water, etc. used in a specific place (that is, the place where the meter 30 is installed), and AMR may be wired or wirelessly read the metered result (ie, metering data). It may be provided to the server 20.

The AMR server 20 may receive meter reading data from at least one meter 30, and generate an energy profile loaded with meter reading data based on the meter reading data. Here, the energy profile may be generated for each customer. For example, you can create 'Energy Profile 1' based on meter reading data for 'Success 1', create 'Energy Profile 2' based on meter reading data for 'Success 2', Based on profile 1 'and' energy profile 2 ', energy profiles for all consumers can be generated.

In addition, the AMR server 20 may generate an energy profile based on meter reading data over time, generate an energy profile based on meter reading data over days, and meter reading according to months. An energy profile may be generated based on the data, and an energy profile may be generated based on meter reading data according to a year.

The AMR server 20 may generate a consumer profile. The customer profile may mean information of a specific place where the amount of electricity, gas, water, etc. is measured by the meter 30, and the information of the specific place may be used for a specific place (eg, factory, commercial, residential). Etc.), the size of a specific place, the number of residents of a specific place, climate information of a specific place, location information of a specific place (eg, latitude, longitude, altitude, etc.), and the like.

The AMR server 20 may map an energy profile and a consumer profile (for example, may map an energy profile for consumer 1 and a consumer profile for consumer 1), and the mapped energy profile and consumer The profile can be stored and an energy profile and a consumer profile can be provided to the production server 10. In addition, the AMR server 20 may perform rereading according to a request of the primary server 10, and provide the result of the rereading to the primary server 10.

The primary server 10 may receive an energy profile and a consumer profile from at least one AMR server 20, and store the received energy profile and the consumer profile. That is, the operation server 10 may backup the energy profile and the customer profile stored in the AMR server 20. The operation server 10 may detect at least one of the unloaded data and the outlier data based on the customer profile and the energy profile, and store the correction result for the unloaded data and the outlier data in the energy profile. Specific functions of the operation server 10 will be described later.

2 is a flowchart illustrating an error correction method of meter reading data according to an exemplary embodiment of the present invention.

Referring to FIG. 2, the error correction method of the meter reading data includes detecting at least one of unloaded data and singular value data included in an energy profile (S100), and corrected according to the type of the meter reading data corresponding to the unloaded data. Loading the reading data into the energy profile (S200) and correcting the outlier data based on the loading data range included in the energy profile, and loading the corrected outlier data into the energy profile (S300). have. Steps S100, S200, and S300 may be performed by an error correction apparatus of reading data, and the error correction apparatus of reading data may refer to the operation server 10 shown in FIG. 1.

Here, the energy profile may include loading data, unloaded data, and the like, and the loading data may include outlier data and the like. Unloaded data means when no metering data is loaded.If the metering data does not exist due to the failure of meter reading, the metering data exists but is not loaded due to an error of the metering data itself. This may occur when the metering data exists but the metering data is not loaded due to an error (for example, an error of the AMR server 20 (see FIG. 1)). Singular value data may refer to metering data having an unusually large value or a small value compared to other metering data.

In detail, the apparatus for correcting error of meter reading data may receive an energy profile and a customer profile from at least one AMR server 20 (see FIG. 1), and may include the energy profile and the customer profile in an energy profile through analysis of the received energy profile and the customer profile. At least one of the unloaded data and the outlier data may be detected (S100).

The error correction apparatus of the meter reading data may analyze an arbitrary consumer profile to determine whether the consumer resides at the meter reading place (that is, the place where the usage amount is measured by the meter). If the consumer resides at the meter location, the error correction device of the meter data can analyze the energy profile that maps to any consumer profile, and the analysis results in a value of zero or less (i.e. any Value) can be detected as unloaded data. That is, the error correction apparatus of the meter reading data may detect, as unloaded data, data that satisfies both 'condition 1) a customer resides in the meter reading place and condition 2) a data presence having a value of' 0 'or less'.

On the other hand, the error correction device of the meter reading data can calculate the average value of the loading data included in the energy profile for any customer, and a value larger than twice the average value calculated among the loading data of the energy profile for any customer. The branch can detect the loaded data as outlier data. At this time, the threshold for detecting outlier data is not limited to the above description (ie, twice the average value).

If the unloaded data is present in the energy profile for any customer (S210), the error correction device of the meter data may read the corrected meter data according to the type of the meter data corresponding to the unloaded data. (S220, S230, S240, S250, S260).

Type 1: meter data = '0', meter flag ( flag ) = '0' (ie meter reading flag indicates first state)

When the error correction apparatus of the meter reading data may analyze the meter reading data corresponding to the unloaded data, and as a result, the value of the meter reading data corresponding to the unloaded data is '0' and the metering flag is '0' (S220), The error correction device of the meter data can analyze the reason why the meter data is not loaded. If the analysis result of the unloading reason determines that it is not loaded due to the error of the metering data itself, the error correction apparatus of the metering data may make a request for rereading the unloaded data to the AMR server 20 (see FIG. 1). (S250).

The error correction apparatus for reading data may receive re-reading data according to the re-reading request from the AMR server 20 (see FIG. 1), and may load the re-reading data in the energy profile (S260). In addition, the error correction apparatus of the meter reading data stores uncalibrated meter reading data (i.e., meter reading data corresponding to unloaded data) separately from reread data (i.e., corrected meter reading data) in a database (or energy Profile).

Type 2: meter data> '0', meter flag = '1' (i.e. meter flag indicates second state)

The error correction apparatus of the meter reading data may analyze the meter reading data corresponding to the unloaded data, and as a result, the value of the meter reading data corresponding to the unloaded data is greater than '0' and the metering flag is '1' (S230). The error correction apparatus of the meter reading data may determine the meter reading data (that is, meter reading data having a value larger than '0' and the meter flag '1') as corrected meter reading data.

The error correction apparatus of the meter data may load the corrected meter data (that is, meter data having a value greater than '0' and the meter flag '1') in the energy profile (S260).

Here, the metering data of 'type 2' may refer to metering data not yet loaded in the energy profile among the metering data re-read in correspondence to 'type 1'. That is, due to re-reading, the reading data value may have a value greater than '0' and the reading flag is changed from '0' to '1', so that the reading flag has a value larger than '0' and the reading flag is '1'. The meter reading data may refer to meter reading data that has been reread in correspondence with 'type 1'.

Type 3: meter data> '0', meter flag = '10 '(ie meter flag indicates third state)

The error correction apparatus of the meter reading data may analyze the meter reading data corresponding to the unloaded data, and as a result, the value of the meter reading data corresponding to the unloaded data is greater than '0' and the metering flag is '10' (S240). The error correcting apparatus of the meter reading data may determine the meter reading data (that is, meter reading data having a value greater than '0' and the meter flag '10') as the meter reading data corrected for the outlier data. That is, the metering data of type 3 may mean corrected metering data not yet loaded in the energy profile among the metering data corrected for the outlier data.

The error correction apparatus of the meter data may load the corrected meter data (that is, meter data having a value greater than '0' and the meter flag '10') into the energy profile. In addition, the error correction apparatus of the meter reading data may store uncorrected meter reading data (ie, outlier data) separately from the corrected meter reading data (or load the energy profile) in a database.

When outlier data exists in an energy profile for an arbitrary customer (S310), the error correction apparatus of the meter data may calculate a normal distribution of the energy profile having the outlier data (S320).

The error correction apparatus of the meter reading data may calculate a normal distribution based on the corresponding energy profile when the outlier data is related to the energy profile generated based on the meter reading data over time, and the outlier data may be stored in one day. According to the energy profile generated based on the meter reading data according to the normal distribution can be calculated based on the corresponding energy profile, and when the outlier data is related to the energy profile generated based on the meter data according to the month The normal distribution may be calculated based on the energy profile, and when the singular value data is generated based on the meter reading data according to the year, the normal distribution may be calculated based on the corresponding energy profile.

After calculating the normal distribution of the energy profile, the error correction apparatus of the meter reading data may correct the outlier data based on the normal distribution (S330). For example, if the normal distribution is related to an energy profile generated based on the reading data over time, the error correction device of the reading data may first analyze the time at which the outlier data is read, and the outlier data is generated. In the energy profile for the previous day of the day, the meter reading data can be detected at the same time as the outlier data is read, and the metering data for detecting the outlier data (that is, the same time as the time when the outlier data is read) Can be corrected with the meter reading data). Here, in order to correct the outlier data, the energy profile for the day before the day when the outlier data is generated is used, but the range of the energy profile used for correcting the outlier data is not limited to the above description.

After correcting the outlier data, the error correction apparatus of the meter reading data may determine whether an energy profile (that is, an energy profile including the corrected outlier data) for the corrected outlier data satisfies a preset criterion ( S340). That is, the error correction apparatus of the meter reading data may determine whether the maximum value of the energy profile for the corrected outlier data exceeds two times the average value of the energy profile for the corrected outlier data (ie, the maximum of the energy profile). Value ≤ 2 times the mean value of the energy profile). At this time, the threshold is not limited to the above description (ie, twice the average value).

If the energy profile for the corrected outlier data satisfies a preset criterion, the error correction device of the meter data may load the corrected outlier data into the energy profile, and the uncorrected outlier data may be corrected for the outlier. The data may be loaded in a database (or energy profile) separately from the data (S350).

On the other hand, if the energy profile for the corrected outlier data does not satisfy a preset criterion, the error correction apparatus of the meter data may perform the process of obtaining and analyzing the energy profile and the customer profile again (S100).

3 is a flowchart illustrating an error correction method of meter reading data according to another exemplary embodiment of the present invention.

Referring to FIG. 3, each step illustrated in FIG. 3 may be performed by the controller 13, the searcher 14, the analyzer 15, the AMR server 20, and the meter 30, and the controller 13. ), The search unit 14 and the analysis unit 15 may be included in the operation server 10 shown in FIG.

The meter 30 may read the usage amount of energy (eg, electricity, water, gas, etc.) (S400), and provide the read result (that is, energy usage information) to the AMR server 20. (S401). The AMR server 20 may generate an energy profile based on the energy usage information, and generate a consumer profile corresponding to the energy profile (S402). That is, the AMR server 20 may generate an energy profile for the customer 1 based on the energy usage information for the customer 1, generate a customer profile for the customer 1, and an energy profile and the customer for the customer 1 You can map the consumer profile for one.

 The AMR server 20 may provide the customer profile to the searcher 14 (S403), and the searcher 14 may synchronize the received customer profile with a pre-stored customer profile, and continuously monitor the customer profile. It may be monitored (S404). The AMR server 20 may provide an energy profile to the controller 13 (S405), and the controller 13 may synchronize the received energy profile with a pre-stored energy profile, and continuously monitor the energy profile. There is (S406).

Thereafter, the control unit 13 may make a request for providing an arbitrary customer profile to the search unit 14 (S407), and the search unit 14 generates a customer profile for any customer according to the request for providing the customer profile. In operation S408, the searched consumer profile may be provided to the controller 13 in operation S409.

After receiving any consumer profile, the control unit 13 may retrieve the energy profile corresponding to any consumer profile (ie, the profile for the energy used by any consumer) and retrieve the retrieved energy profile and the consumer profile. It may be provided to the analysis unit 15 (S410). The analyzer 15 may analyze at least one of the unloaded data and the singular value data included in the energy profile by analyzing the received energy profile and the customer profile (S411). Here, the analysis unit 15 may detect at least one of unloaded data and singular value data included in the energy profile through the method described based on the step S100 (see FIG. 2). The analysis unit 15 may provide the control unit 13 with at least one of unloaded data and outlier data detected through the analysis.

The controller 13 may analyze the type of the meter reading data corresponding to the unloaded data (S413), and may request the AMR server 20 to reread the unloaded data according to the analysis result (S414). Here, the control unit 13 analyzes the type of reading data corresponding to the unloaded data according to the method described on the basis of the step S220, step S230, step S240 and step S250 (see Fig. 2) and re-read the unloaded data. You can request

In addition, the controller 13 may correct the outlier value to an arbitrary value (S413), and provide the corrected outlier data to the AMR server 20 (S414). Here, the controller 13 may correct the outlier data to an arbitrary value according to the method described based on the above steps S320, S330, and S340 (see FIG. 2).

The AMR server 20 may perform rereading according to a request of the controller 13 (S415), update the energy profile based on the rereading result and the corrected outlier data, and update the updated energy profile. It may be provided to the control unit 13 (S416). The control unit 13 may synchronize the pre-stored energy profile based on the received updated energy profile (S417). The controller 13 may synchronize the energy profile (that is, load the corrected meter reading data and the corrected singular value data) according to the method described based on the steps S260 and 350 (see FIG. 2). After synchronizing the energy profile, the control unit 13 may generate the energy usage information of the customer (for example, may mean energy usage information for charging) based on the energy profile and the customer profile, and generate the Energy use information may be provided to the consumer (S418).

4 is a block diagram illustrating an error correction apparatus for reading data according to an embodiment of the present invention.

Referring to FIG. 4, the error correction apparatus 10 of the meter reading data may include a processing unit 11 and a storage unit 12. The error correction apparatus 10 of the meter reading data may include an operation server (shown in FIG. 1). 10) may mean.

The processor 11 may detect at least one of unloaded data and outlier data included in the energy profile by analyzing the energy profile and the customer profile. That is, the processor 11 detects, as unloaded data, data having any value representing the unloading of the data in the energy profile for the customer living in the metering place when the customer is in the metering place as a result of analyzing the customer profile. can do. In addition, the processor 11 may detect, as outlier data, loading data satisfying a predetermined criterion among the loading data of the energy profile. Here, the processor 11 may detect the unloaded data and the outlier data through the method described based on the step S100 (see FIG. 1).

When unloaded data is detected, the processor 11 may load the meter reading data corrected according to the type of the meter reading data corresponding to the unloaded data in the energy profile. In other words, when the value of the meter reading data corresponding to the unloaded data is '0' and the metering flag is '0' (that is, the metering flag indicates the first state), the processing unit 11 may determine that the data is not loaded. Re-reading can be requested and the re-readed data can be loaded into the energy profile in response to the re-reading request.

In addition, when the value of the meter reading data corresponding to the unloaded data exceeds '0' and the metering flag is '1' (that is, the metering flag indicates the second state), the processor 11 displays the value '0'. Can be loaded into the energy profile.

In addition, when the value of the metering data corresponding to the unloaded data exceeds '0' and the metering flag is '10' (that is, the metering data indicates the third state), the processor 11 has a value of '0'. Can be loaded into the energy profile.

Herein, the processor 11 uses the method described on the basis of the step S210, step S220, step S230, step S240, step S250 and step S260 (see FIG. 2), and stores the meter data corrected according to the type of the meter reading data. Can be loaded into the profile.

When outlier data is detected, the processor 11 may correct the outlier data based on the loading data range included in the energy profile, and load the corrected outlier data into the energy profile. That is, the processor 11 may calculate a normal distribution for the energy profile corresponding to the consumer having outlier data, correct the outlier data to an arbitrary value according to the normal distribution, and correct the arbitrary value. If the energy profile for satisfies a predetermined criterion, any value may be loaded into the energy profile. Here, the processor 11 corrects the outlier data and converts the corrected outlier data into an energy profile through the method described based on the above steps S310, S320, S330, S340 and S350 (see FIG. 2). Can load.

The storage unit 12 may store data necessary for the processing of the processing unit 11 and the processing result by the processing unit 11. For example, the storage unit 12 may store an energy profile, a customer profile, and corrected meter reading data. The uncorrected meter reading data corresponding to the corrected meter reading data, the corrected singular value data, and the uncorrected singular value data corresponding to the corrected singular value data may be stored.

Here, the function performed by the processor 11 may be substantially performed in a processor (for example, a central processing unit (CPU) and / or a graphics processing unit (GPU)), and each step illustrated in FIG. It may be performed in the processor.

5 is a block diagram illustrating an error correction apparatus for reading data according to another exemplary embodiment of the present invention.

Referring to FIG. 5, the error correction apparatus 10 of the meter reading data may include a control unit 13, a search unit 14, and an analysis unit 15, and the error correction apparatus 10 of meter reading data may be described with reference to FIG. 1. In FIG. 4, the error correction apparatus of the meter reading data and the error correction apparatus of the meter reading data shown in FIG. 5 may be substantially the same.

The controller 13 may receive an energy profile from the AMR server 20 (see FIG. 1), synchronize a pre-stored energy profile based on the received energy profile, and continuously monitor the energy profile. The control unit 13 may make a request for providing an arbitrary consumer profile to the search unit 14, may receive an arbitrary consumer profile according to the request from the search unit 14, and may receive any received customer profile and The energy profile corresponding to any consumer profile may be provided to the analyzer 15. The controller 13 may receive the unloaded data information and the outlier data information, which are the result of analyzing the consumer profile and the energy profile, from the analysis unit 15, and analyze whether or not to re-read the unloaded data based on this. And outlier data can be corrected. The controller 13 may make a request for re-reading the unloaded data to the AMR server 20 (see FIG. 1), and provide the corrected outlier data to the AMR server 20 (see FIG. 1). The controller 13 may receive the updated energy profile from the AMR server 20 (see FIG. 1), synchronize the pre-stored energy profile based on the updated energy profile, and update the updated energy profile and the customer profile. Based on the energy usage information (that is, the energy usage information for charging) can be generated, the generated energy usage information can be provided to the customer.

Herein, the control unit 13 performs the above-described functions through the method described on the basis of the steps S405, S406, S407, S409, S410, S412, S413, S414, S416, S417, and S418. Can be performed.

The search unit 14 may receive a consumer profile from the AMR server 20 (see FIG. 1), synchronize a pre-stored consumer profile based on the received consumer profile, and continuously monitor the consumer profile. . The searcher 14 may search for any customer profile according to a request of the controller 13, and provide the searched result to the controller 13.

Here, the search unit 14 may perform the above-described functions through the method described based on the above steps S403, S404, S407, S408, and S409.

The analysis unit 15 may analyze the energy profile based on the customer profile at the request of the controller 13, and may detect at least one of unloaded data and outlier data included in the energy profile through the analysis. The detected unloaded data and / or outlier data may be provided to the controller 13.

Here, the analysis unit 15 may perform the above-described function through the method described based on the step S410, step S411, step S412.

The functions performed by the controller 13, the searcher 14, and the analyzer 15 may be substantially performed by a processor (for example, a CPU and / or a GPU). Each of the steps illustrated in FIG. It may be performed in the processor.

In addition, the controller 13, the searcher 14, and the analyzer 15 may be implemented in one single form, one physical device, or one module. In addition, the controller 13, the searcher 14, and the analyzer 15 may be embodied as a plurality of physical devices or groups instead of one physical device or group.

The methods according to the invention can be implemented in the form of program instructions that can be executed by various computer means and recorded on a computer readable medium. Computer-readable media may include, alone or in combination with the program instructions, data files, data structures, and the like. The program instructions recorded on the computer readable medium may be those specially designed and constructed for the present invention, or may be known and available to those skilled in computer software. Examples of computer readable media include hardware devices that are specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code, such as produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate with at least one software module to perform the operations of the present invention, and vice versa.

Although described with reference to the embodiments above, those skilled in the art will understand that the present invention can be variously modified and changed without departing from the spirit and scope of the invention as set forth in the claims below. Could be.

10: production server
20: AMR Server
30: Meter

Claims (12)

In the error correction method of the meter data performed in the error correction device of the meter data,
Detecting unloaded data and outlier data included in the energy profile through analysis of an energy profile and a consumer profile;
If the unloaded data is detected, loading the metered data corrected according to the type of the metered data corresponding to the unloaded data in the energy profile; And
If the outlier value is detected, correcting the outlier data based on a range of the loading data included in the energy profile, and loading the corrected outlier data into the energy profile,
Detecting the unloaded data and outlier data,
The error correction method of the meter reading data which detects loading data which satisfy | fills a predefined criterion among the loading data contained in the said energy profile as outlier data. The method of claim 1, wherein detecting the unloaded data and the outlier data comprises:
As a result of the analysis of the customer profile, when the customer lives in the meter reading place, the data of the meter data which detects data having any value representing the unloading of the data in the energy profile for the customer living in the meter reading place as unloaded data. Error correction method. delete The method of claim 1, wherein the loading of the corrected meter reading data into the energy profile comprises:
Requesting to reread the unloaded data in error when the value of the read data corresponding to the unloaded data is '0' and the read flag indicates a first state; And
And loading the re-reading data according to the re-reading request into the energy profile. The method of claim 1, wherein the loading of the corrected meter reading data into the energy profile comprises:
When the value of the meter reading data corresponding to the unloaded data exceeds '0' and the meter flag indicates the second state, the meter data indicating the value exceeds '0' and the meter flag indicates the second state. Error correction method of the meter data further comprising the step of loading in the energy profile. The method of claim 1, wherein the loading of the corrected meter reading data into the energy profile comprises:
When the value of the meter reading data corresponding to the unloaded data exceeds '0' and the meter flag indicates the third state, the meter data indicating the value exceeds '0' and the meter flag indicates the third state. Error correction method of the meter data further comprising the step of loading in the energy profile. The method of claim 1, wherein loading the corrected outlier data into the energy profile comprises:
Calculating a normal distribution of the energy profile having the outlier data;
Correcting the outlier data to an arbitrary value according to the normal distribution; And
If the energy profile for the corrected arbitrary value satisfies a preset criterion, loading the random value into the energy profile. The method of claim 1, wherein the loading of the corrected meter reading data into the energy profile comprises:
And correcting the read data of the reading data corresponding to the corrected reading data in the energy profile. The method of claim 1, wherein loading the corrected outlier data into the energy profile comprises:
And correcting out the uncorrected outlier data corresponding to the corrected outlier data in the energy profile. Based on the customer profile, the unloaded data and outlier data included in the energy profile are detected, and when the unloaded data is detected, the metered data corrected according to the type of the metered data corresponding to the unloaded data is detected. A processor configured to load the energy profile, correct the singular value data based on a range of loading data included in the energy profile when the singular value data is detected, and load the corrected singular value data into the energy profile; And
It includes a storage unit for storing the data required in the processing of the processing unit and the processing result by the processing unit,
The processing unit,
The error correction apparatus of the meter reading data which detects loading data which satisfy | fills a predefined criterion among the loading data of the said energy profile as outlier data. The method according to claim 10, The processing unit,
As a result of the analysis of the customer profile, when the customer lives in the meter reading place, the data of the meter data which detects data having any value representing the unloading of the data in the energy profile for the customer living in the meter reading place as unloaded data. Error correction device. delete
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