KR101243214B1 - Meter data verifying system and method thereof - Google Patents

Abstract

The present invention is to determine the validity of the meter reading data to ensure the reliability of the meter reading data, and to correct the error in the meter reading data by a certain rule so that the consumer energy consumption can be accurately measured. It also provides meter reading data management system that can be the basis of AMI to provide two-way real-time service between operator and end consumer, away from the energy provider's metering system.
Remote meter reading data verification system according to the present invention, the database for storing the meter reading data of the consumer; A data verification unit reading the meter data stored in the database to determine validity; And a rule setting unit that sets a verification rule that is a basis for determining the validity of the data verification unit.
The data estimating unit may further include a data estimating unit estimating an energy consumption amount during the meter reading data reading period of the customer based on a result of determining the validity of the data verifying unit, and the rule setting unit estimates an energy consumption base of the data estimating unit. You can set rules.

Description

Remote meter reading data verification system and method {METER DATA VERIFYING SYSTEM AND METHOD THEREOF}

The present invention relates to a remote meter reading data verification system and method, and more particularly, to determine the validity of the meter reading data that read the consumer's energy consumption, and if the meter reading data is not valid, To provide reliability and provide accurate energy usage information to consumers.

In general, an automatic meter reading system (AMR) refers to converting a measurement result into an electrical signal from a distant object and transmitting data through a communication network, and processing the data in a computer.

The remote metering system is a system that remotely handles the meter reading by using a computer and communication technology without the need for the metering personnel to visit each other. The metering data is acquired by the data collection device and the information is transmitted through the communication processing device. It has the advantage of reducing the waste of manpower and time spent on meter reading by fully automating the sequence of transfers to the weighing server.

1 is a view for explaining a remote meter reading system according to the prior art. The remote meter reading system according to the related art collects energy meter reading data of a customer from an energy meter 100 and a plurality of energy meters 100 measuring meter energy usage and generating meter reading data, and reading the meter server 120. Data collection unit 110 (Data Collecting Unit: DCU) for transmitting to the meter reading server 120 receives the reading data from the plurality of data collection device 110 and stores it as a database. According to the conventional remote meter reading system, the consumer-side consumer 130 may access the database of the meter reading server through a web program to inquire energy usage.

However, since the existing remote meter reading system was collected for the purpose of acquiring and utilizing the electricity metering information of the electric power company, the addition of the reliability and energy consumption efficiency of the meter reading data such as whether the meter reading data is accurate and the energy consumption is excessive There is a problem of a unilateral structure in which information cannot be provided.

As a result, AMI (Advanced Metering Infrastructure) provides two-way real-time services between operators and end-user consumers to overcome the limitations of traditional energy provider-centered systems and build a foundation for real-time demand resource data management and application. Along with the construction of the project, there is a need to develop a meter data management (MDM) system that can be the foundation of the AMI.

In addition, in the existing remote meter reading system, even if the energy meter is broken or an error occurs in the meter reading data, there is a problem in that the error cannot be corrected even when the energy consumption of the consumer is incorrectly measured.

In order to solve the above problems, an object of the present invention is to determine the validity of meter reading data, to ensure the reliability of meter reading data, and to correct an error of meter reading data by a certain rule so that consumer energy consumption can be accurately measured. . Another goal is to provide meter reading data management systems that can be the basis of AMIs to provide two-way real-time services between operators and end consumers, away from the energy provider's metering system.

A first invention remote meter reading data verification system of the present application for achieving the above object, the database for storing the meter reading data of the consumer; A data verification unit reading the meter data stored in the database to determine validity; And a rule setting unit that sets a verification rule that is a basis for determining the validity of the data verification unit.

The data estimating unit may further include a data estimating unit estimating an energy consumption amount during the meter reading data reading period of the customer based on a result of determining the validity of the data verifying unit, and the rule setting unit estimates an energy consumption base of the data estimating unit. You can set rules.

In accordance with another aspect of the present invention, there is provided a method for verifying remote meter reading data, the method including: reading a meter reading data from a database; Calculating, by the data reading unit, a difference value of energy consumption by comparing the reading data with past reading data determined by a verification rule; And determining whether a difference value of the energy usage is within an error range defined by the verification rule.

The method may further include: estimating, by the data estimator, the actual energy usage of the customer if the difference value of the energy usage is out of the error range; Notifying the manager of the estimated value by the data estimating unit; And correcting the meter reading data based on the estimated value by the data estimating unit.

The present invention has the effect of ensuring the reliability of the meter reading data by checking the error of the meter reading data, and by estimating the actual energy consumption of the customer by a certain rule, to provide accurate energy usage information to the consumer. In addition, by providing a system that allows operators and consumers to exchange information in real time in both directions, there is an effect that can build a meter reading data management system that can be the basis of the smart grid. Based on this, there is an effect that can provide a system that is the foundation of the energy consumption system to optimize the energy efficiency of the consumer.

In addition, by providing a new concept management system called Validation, Estimating, and Editing of meter reading data, we can provide a new concept VEE (Validation, Estimating, Editing) system that can efficiently manage meter reading data. It can be effective.

1 is a view for explaining a remote meter reading system according to the prior art,
2 is a block diagram of a remote meter reading data verification system according to an embodiment of the present invention;
3 is an exemplary diagram of a user interface provided by a rule setting unit to allow an administrator to input setting values of a verification rule and an estimation rule;
Figure 4 is a user interface provided to the administrator to determine whether to modify the current reading data based on the estimated value, and
5 is a flowchart illustrating a method for verifying remote meter reading data according to an embodiment of the present invention.

The present invention relates to a remote meter reading data verification system that can be applied to a remote meter reading server. The energy meter of the remote metering system collects consumer-side energy usage, generates metering data at predetermined intervals, and transmits the metering data to the data collection unit (DCU). The meter reading server is connected to a plurality of data collection units (DCU), collects meter reading data, and stores the collected data into a database.

The present invention provides a remote meter reading data verification system for verifying the validity of meter reading data stored in a database in a remote meter reading system and correcting errors in the meter reading data.

Hereinafter, exemplary embodiments of the present invention will be described with reference to the accompanying drawings. In the drawings, the same reference numerals are used to designate the same or similar components, and the same reference numerals will be used to designate the same or similar components. Detailed descriptions of known functions and configurations are omitted.

2 is a block diagram of a remote meter reading data verification system according to an embodiment of the present invention. Referring to FIG. 2, the remote meter reading data verification system includes a database 200, a data verification unit 210, a data estimator 220, and a rule setting unit 230.

The database 200 stores meter reading data including energy usage information read by the consumer-side energy meter. The meter reading data includes identification information of the customer, so that the source of each meter reading data can be distinguished. For example, a unique identification value assigned to the consumer-side energy meter may be included in the meter reading data, and the meter reading data may include the identification value of the customer-side energy meter together with the energy usage information of the customer.

The consumer-side power consumer may access the database 200 through the web, and inquire the meter data stored in the database 200. Consumer power consumers can check the meter usage data for energy usage during a specific time period.

For example, a user may query information on energy consumption by setting a predetermined period of time such as daily energy usage, monthly energy usage, seasonal energy usage, and annual energy usage.

At this time, the meter reading data stored in the database 200 is preferably at least one of the energy consumption of electricity, gas, water, heating, cooling.

The data verifying unit 210 reads the metering data stored in the database 200 and determines the validity of the read metering data based on the verification rule 230a generated by the rule setting unit 230. The data verification unit 210 may compare the reading data collected for each customer with a history of past energy use, determine whether the comparison result is within an error range specified by the verification rule, and determine the validity of the reading data.

In the current remote meter reading system, the electricity meter for metering the amount of power of the customer is set to generate meter reading data on monthly electricity usage as monthly data and to store the meter reading data.

When the meter reading data including monthly energy usage information is collected, the data verification unit 210 determines whether the collected meter reading data is valid through a verification rule.

That is, the data verification unit 210 when the meter reading data is collected from the data collection unit (DCU) and stored in the database 200, by comparing the meter reading data with the past energy consumption, by determining whether the comparison result is within the tolerance range The validity of the meter reading data is determined.

For effective explanation of the invention, the invention will be described by defining meter reading data, which is the subject of validity judgment of the data verification unit 210, as current meter reading data.

The past energy usage for determining the validity of the meter reading data may be energy usage calculated based on the previous month's meter reading data, the meter reading data for the same period last year, or the meter reading data at a specific point in time. Or it may be an average value of the energy consumption of the customer for a certain period of time calculated based on the plurality of meter data.

The verification rule may include information on past meter reading data and error range information.

The information on past meter reading data is information for designating meter reading data which is the basis of calculation of past energy consumption. For example, when information on past meter reading data is set as the previous month's reading data, the past energy consumption to be compared with the collected reading data is generated based on the energy consumption included in the previous month's reading data. The data verification unit 210 reads out the meter reading data from the database 200 based on the information on the past meter reading data, calculates the past energy consumption, and calculates the calculated past energy consumption and the energy consumption included in the current meter reading data. By comparing, the validity of the current meter reading data is determined.

The information on the error range is a set value of the marginal error of the difference between the information on the energy usage included in the current meter reading data and the past energy usage. The data verification unit 210 may compare the two, determine whether the comparison result exceeds the error range, and determine the validity of the metering data.

The error range may be set as an upper and lower limit value, or may be set as a ratio of a difference value with respect to energy usage included in past energy usage or current meter reading data.

For example, when the metering data relates to power, the error range may be set to an upper and lower limit of ± 20 kW or to a specific ratio value of ± 30% of past energy consumption.

The data verifying unit 210 compares the current meter reading data with the past energy usage, and determines that the current meter reading data is valid when the difference in energy usage is within an error range, and the comparison result is out of the error range. It may be determined that the current meter reading data is invalid.

The data verification unit 210 may determine the validity of the current meter reading data by calculating an average daily usage (ADU) with respect to the past energy usage. The average daily energy consumption (ADU) is calculated with respect to the past energy consumption, and the validity of the current meter reading data is determined by comparing the multiplied number of reading days of the current meter reading data.

In particular, when the past energy consumption is calculated based on the previous month's reading data, errors may occur because the reading days of the previous month and the reading days of the current reading data are different, so that the errors occurring due to the changing reading days are minimized.

If the current meter reading data is not valid, the data verification unit 210 outputs a notification message, and determines the validity of the current meter reading data, the verification rule 230a information used for the validation, the energy usage of the current meter reading data, and the past energy. The verification history information including at least one of the difference values of the usage amount is stored in the database 200.

The administrator can check the validity determination result of the current meter reading data through the output notification message, and based on the verification history information stored in the database 200, the verification rule used in the reliability, validity determination process of the current meter reading data validity determination result ( 230a) can be determined.

The data verifying unit 210 may select the consumer determined that the meter reading data is invalid for a predetermined number of times or more. Since the consumer continuously determined that the meter reading data is not valid, it means that the energy consumption pattern is irregular. Therefore, the consumer may not exclude the meter reading data from being verified or prevent the data estimating unit 220 from going through the data estimation process.

For example, when the meter reading data of a specific customer occurs three times in error, the information about the customer is stored, and the selected customer is excluded from the verification target of the data verification unit 210 from the next meter reading data to be collected or data. The estimation unit 220 may not go through the estimation process.

If the data verifying unit 210 determines that the current meter reading data is not valid, the data estimating unit 220 is based on the estimation rule 230b generated by the rule setting unit 230 and the actual energy consumption or energy usage fee of the customer. Estimate

The estimation rule 230b may include information about estimation data to be used in the estimation process.

The information on the estimated data is information for specifying historical meter reading data to be applied to the data estimation process. For example, when the meter reading data for the previous month or the meter reading data for the same period of the previous year is designated as the meter reading data to be applied in the estimation process, the data estimating unit 220 charges during the meter reading days of the energy usage information included in the designated meter reading data or the designated meter reading data. Based on the information, meter reading data can be estimated.

The data estimator 220 may estimate the actual energy consumption of the customer during the days of reading of the current reading data based on the energy usage included in the reading data. It is possible to correct an error of the current metering data by using the energy consumption included in the old metering data as an estimated value and reflecting the estimated value in the invalid metering data.

In this case, in order to minimize the error caused by the difference between the first reading days of the old reading data and the second reading days of the current reading data, the estimated value may be calculated based on the average daily usage (ADU). In other words, the estimated daily value is calculated by multiplying the average daily usage of historical meter reading data by the second meter reading days of the collected meter reading data. Specifically, energy consumption may be estimated as in Equation 1 below.

The data estimator 220 may calculate the meter reading value using not only past energy usage but also billing information. By estimating the billing of the meter data collected based on past billing information, the estimated value is calculated based on the usage fee, not energy consumption.

According to another embodiment of the present invention, an estimated value may be calculated based on a load factor. For example, the data estimating unit 220 extracts data on the amount of power (kW) and the amount of power per unit time (kWh) from the designated meter reading data, the first meter reading days of the meter reading data and the amount of electricity per unit time of the current meter reading data, and the current meter reading. The load factor and the estimated value can be calculated by the following Equation 2 using the second meter reading days on which the data is calculated.

When the estimated value is calculated, the data estimating unit 220 outputs a notification message for generating the estimated value and includes an estimate history including at least one of the estimated value calculation time and the estimated rule 230b information used for calculating the estimated value. The information is stored in the database 200. The administrator may determine the reliability of the estimated value calculation result of the current meter reading data, the validity of the estimation rule 230b used in the estimated value calculation process, and the like based on the estimated history information.

In addition, when the estimated value is calculated, the administrator may determine whether to modify the current meter reading data based on the calculated estimated value. When the estimated value is calculated, the data estimating unit 220 may output a notification message to the manager and provide an interface on the screen so that the manager can select whether to modify the reading data based on the estimated value.

The data estimator 220 corrects the current meter reading data and stores the corrected meter reading data in the database 200 when the manager wants to correct the current meter reading data by applying an estimated value according to the manager's input.

The administrator may verify the validation rule 230a for determining the validity of the meter reading data through the rule setting unit 230 and the estimation rule 230b for estimating the estimated value by the data estimator 220. The set value can be entered.

3 is an exemplary diagram of a user interface provided by a rule setting unit so that an administrator may input setting values of a verification rule and an estimation rule.

As shown in FIG. 3, the administrator may set the metering data that is the basis of the verification rule and the estimation rule, and set an error range in relation to the verification rule.

In FIG. 3, the setting of the verification rule and the estimation rule is provided in one interface, but the setting of the verification rule and the estimation rule may be provided through a separate interface.

The administrator may select an interface for setting the verification rule or the estimation rule, and select meter reading data that is the basis of the verification rule or the estimation rule in each interface.

In particular, in the case of the verification rule, in addition to selecting the metering data that is the basis of the verification rule, the administrator may arbitrarily adjust the error range directly, and present a flexible set value according to the situation.

4 illustrates a user interface provided to an administrator to determine whether to modify current meter reading data based on an estimated value.

Referring to FIG. 4, the manager may inquire meter reading data of the corresponding customer through the customer information. The inquiry screen displays the energy consumption of the customer, the result of determining the validity of the data verification unit 210, and the energy consumption estimation result of the data estimating unit 220. In addition, by linking the address values of the verification history information and the estimation history information stored in the database 200, the administrator can easily query the verification history information or the estimation history information. The administrator may query the verification history information or the estimation history information, and determine whether to modify the meter reading data to the energy usage estimation value of the data estimator 220.

5 is a flowchart illustrating a method for verifying remote meter reading data according to an embodiment of the present invention. Referring to FIG. 5, the data verification unit 210 reads the meter reading data to be validated from the database 200 (S510), and uses the energy reading included in the current meter reading data and the past meter reading specified in the verification rule 230a. The past energy usage included in the data is compared (S520). The data verifier 210 may determine whether the comparison result is within an error range defined by the verification rule 230a (S530), and may determine that the meter reading data is valid only when it is within an error range determined by the verification rule 230a. have. In this case, in order to minimize the error caused by the difference between the first reading days of the old reading data specified by the verification rule 230a and the second reading days of the current reading data, the validity of the reading data may be determined. have.

If it is determined that the meter reading data is not valid, the data verification unit 210 outputs a notification message to the administrator, the verification rule 230a information used for the validation, the energy usage of the customer included in the meter reading data, and the past energy usage. The verification history information including at least one of the difference values of is stored in the database 200 (S540).

If it is determined that the meter reading data is not valid, the data estimating unit 220 estimates the actual energy consumption of the customer (S550). The data estimating unit 220 provides a notification message to the manager and stores estimation history information including at least one of the metering data estimating time and the estimating rule 230b used in the estimating process in the database 200 (S560). . The manager determines whether to modify the meter reading data based on the estimated actual energy usage of the customer (S570). When the meter reading data is modified, the data estimating unit 220 stores the modified meter reading data in the database 200 (S580).

In the present specification, for the effective description, the process of verifying and estimating the metering data is described based on the monthly metering data. However, the present invention is not limited to the monthly metering data, and the present invention is not limited to all the metering data collected by the metering server. Applicable will be obvious.

The remote meter reading data verification system according to an embodiment of the present invention as described above may be implemented in a program and stored in a recording medium in a form readable by the remote meter reading data verification system. Recording media include CD-ROM, RAM, ROM, floppy disk, hard disk, magneto-optical disk, memory stick and the like. In particular, when the remote meter reading data verification system is implemented as a program, the rule data generated by the rule setting unit is implemented as a file to be imported and exported to another database to ensure portability, compatibility, and independence to other systems. Can be.

As described above, the present invention has been described with reference to a preferred embodiment of the present invention, but the present invention is not limited thereto, and a person having ordinary skill in the art of the present invention has the spirit of the present invention described in the following claims. Various modifications or variations can be made without departing from the scope thereof.

100: energy meter 110: data acquisition device
120: meter reading server 200: database
210: data verification unit 220: data estimation unit
230: rule setting unit

Claims (13)

delete A database for storing meter reading data of consumers;
A data verification unit reading the meter data stored in the database to determine validity;
A rule setting unit for setting a verification rule which is a basis for determining the validity of the data verification unit; And
Data estimating unit for estimating the actual energy consumption of the customer according to the validity determination result of the data verification unit
Including,
The rule setting unit sets an estimation rule that is the basis of the estimation process of the data estimating unit,
When the meter reading data of the customer is invalid, the data estimating unit estimates the actual energy consumption of the customer according to the following equation,

Here, the LoadFactor is a load rate, and the second reading days mean reading days of current reading data.
And the load factor is calculated according to the following equation.

Here, the first meter reading days is the number of meter reading days of the old meter reading data specified as the metering data to be applied in the estimation process, the amount of power is the amount of power of the past meter reading data specified as the metering data to be applied in the estimation process, the amount of power per unit time is applied to the estimation process Means the amount of power per unit time of historical meter reading data designated as meter reading data)
The method of claim 2,
The meter reading data includes the identification information of the customer and the energy usage information on the energy usage of the customer, the remote meter reading data verification system.
The method of claim 3, wherein
The verification rule is remote meter reading data verification system, characterized in that including information on the error range and information of the past meter reading data to be compared with the meter reading data.
The method of claim 4, wherein
The data verification unit compares the energy usage included in the meter reading data and the historical meter reading data, and determines the validity of the meter reading data based on the difference in the energy usage and the error range. .
The method of claim 5, wherein
The data verification unit remote reading data verification system, characterized in that for determining the validity of the reading data based on the average daily energy consumption of the reading data.
delete delete delete delete The method of claim 2,
The meter reading data included in the meter reading data is a remote meter reading data verification system, characterized in that at least one of electricity, gas, water, heating and cooling.
delete Reading, by the data reader, the meter data from the database;
Calculating, by the data reading unit, a difference value of energy consumption by comparing the reading data with past reading data determined by a verification rule; And
Determining whether a difference value of the energy usage is within an error range defined by the verification rule;
Including,
When the difference value of the energy usage is out of the error range,
Estimating, by the data estimator, actual energy usage of the customer;
Notifying the manager of the estimated value by the data estimating unit; And
Correcting the meter reading data based on the estimated value by the data estimating unit
More,
In the estimating the actual energy consumption of the customer, the data estimating unit estimates the actual energy consumption of the customer according to the following equation,

Here, the LoadFactor is a load rate, and the second reading days mean reading days of current reading data.
The load ratio is calculated according to the following formula, remote reading data verification method.

Here, the first meter reading days is the number of meter reading days of the old meter reading data specified as the metering data to be applied in the estimation process, the amount of power is the amount of power of the past meter reading data specified as the metering data to be applied in the estimation process, the amount of power per unit time is applied to the estimation process Means the amount of power per unit time of historical meter reading data designated as meter reading data)

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