KR20230076630A - Digital power meter capable of culculating aberration correction value - Google Patents

Abstract

The present invention relates to a power meter capable of calculating an error correction value. The present invention is an MCU that stores the calculated and measured data of the amount of power generated from the voltage sensor and the current sensor, monitors the measured data, and transmits the data to the outside at all times according to a self-set cycle, and the measured data of the MCU It is composed of a metering IC that monitors data and error precision, compares the error with the watt-hour meter, and notifies the MCU of an error correction value when an error occurs. In addition, it also serves to raise an alarm to the upper server when an error is detected by monitoring the MCU.
The present invention monitors the MCU inside the watt-hour meter and embeds a metering IC for calculating an error correction value, determines the error precision of the MCU, and if an error occurs, the error correction value is calculated using the metering IC. By calculating and notifying the change of the error correction value in the upper server, there is an effect of establishing a fair electricity trading environment by increasing the data reliability of power measurement and reducing overall operating costs through efficient business processing.

Description

Power meter capable of calculating error correction value {Digital power meter capable of culculating aberration correction value}

The present invention relates to a watt-hour meter capable of calculating an error correction value, and more particularly, by incorporating an MCU and a metering IC that monitors the MCU and calculates an optimal error correction value, and receives notification of the error correction value from a higher-level system. It is about a power meter that can take appropriate measures.

The error accuracy of a single-phase or three-phase electronic watt-hour meter has different error accuracy depending on the performance of the current/voltage sensor and electronic parts of the watt-hour meter. Currently, the error accuracy of the electronic watt-hour meter is released after testing and calibration through an error tester with a standard meter in the production process. In addition, the self-diagnosis function that can determine device failures such as battery failure, over/under voltage, voltage phase loss, etc. of the watt-hour meter depends on the design of the firmware.

The lifespan of a watt-hour meter is usually 7 to 13 years. After installation, voltage/current/phase are measured incorrectly due to external factors that can affect product performance, such as sensor failure, measurement device failure, secular change, and noise. As a result, problems with error accuracy often occur during the product use period.

If the watt-hour meter has a problem with error precision, problems such as meter failure or meter reading errors may cause consumers to under-charge or over-charge, which damages the reliability and publicity of electricity metering, lowers customer satisfaction, and Because it adversely affects the establishment of a trading environment, power companies are sensitively managing errors and precision defects to prevent them from occurring.

In order to minimize this error precision problem, electric power companies are checking the error precision by using a watt-hour meter error tester at the site through tours or special inspections by deploying dedicated personnel. This method is time-consuming and costly. there has been a problem

In addition, a device capable of calculating an accurate error correction value and quickly solving the error correction has been developed.

Korean Patent Publication No. 2008-0010171 Korean Patent Publication No. 2013-0073659 Korean Patent Publication No. 2020-0095069

Therefore, the present invention provides an MCU formed inside a single-phase or three-phase watt-hour meter and actively performing functions such as measurement, metering, and communication, and a metering IC for monitoring the MCU and calculating an error correction value, especially for the watt-hour meter. Built in, when the metering IC calculates the optimal error correction value, the value is transmitted through a firmware update through the upper server, and it relates to a power meter capable of calculating an error correction value that can change the error correction value.

In order to solve this problem, the present invention is a watt-hour meter capable of calculating an error correction value for measuring voltage, current, and phase from a current sensor and a voltage sensor, in which the amount of power generated from the voltage sensor and the current sensor is calculated and measured An error occurs by comparing an error with an MCU that stores data, monitors the measured data, and transmits the data to the outside at all times according to a self-set cycle, and monitors the measured data and error accuracy of the MCU and compares the error with the watt-hour meter. If so, it is characterized in that it includes a metering IC for notifying the MCU of the required error correction value.

In addition, it is characterized in that it further comprises an upper server that is formed apart from the watt-hour meter and receives, collects, and stores the data transmitted from the MCU.

In addition, the MCU is characterized in that it receives the error correction value from the weighing IC and transmits it to the upper server so that the error correction value can be changed through firmware update.

In addition, the upper server is characterized in that it takes a firmware update by checking the difference value of the error precision from the MCU.

Therefore, the present invention monitors the MCU inside the watt-hour meter and embeds a metering IC for calculating an error correction value, determines the error precision of the MCU, and if an error occurs, corrects the error using the metering IC. By calculating the value and notifying the change of the error correction value in the upper server, it is effective to build a fair electricity trading environment by increasing the data reliability of power measurement, and to reduce overall operating costs through efficient business processing. .

1 is an overall configuration diagram of a watt-hour meter capable of calculating an error correction value according to the present invention.
2 is a flow chart showing how the metering IC monitors the MCU in real time to detect the error precision;
3 is a flowchart illustrating a method in which a weighing IC determines an error correction value and executes a firmware update through an upper server;
4 is a configuration diagram of a system for monitoring an watt-hour meter;
Figure 5 is a block diagram showing the main configuration of the smart sensor of Figure 4;
Figure 6 is a block diagram showing the main configuration of the operation server.
7 is an overall configuration diagram for explaining a system for diagnosing and monitoring a power meter failure;
8 is a block diagram for explaining a monitoring device;
9 is a flowchart illustrating a method of generating learning result information based on machine learning and diagnosing a failure;

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. First of all, in adding reference numerals to components of each drawing, it should be noted that the same components have the same numerals as much as possible even if they are displayed on different drawings.

In addition, in the following description of the present invention, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted.

In addition, since the terms used in this application are only used to describe specific embodiments, it is not intended to limit the present invention, and it is clear in advance that a singular expression also means a plurality of expressions unless the context clearly indicates otherwise. want to leave

Prior to describing the present invention, the term MCU (Micro Controller Unit), which frequently appears in this specification, is generally abbreviated as a microcontroller, and performs predetermined functions by making a microprocessor, memory, and programmable input/output module into a single chip. It is an electronic device that has functions similar to a small computer.

In addition, the MCU and the metering IC mentioned in this specification are embedded inside a watt-hour meter that measures voltage, current, and phase from a current sensor and a voltage sensor, and the watt-hour meter measures and measures the active power of the consumer. is a measuring instrument.

For reference, the metering IC serves to monitor the MCU and is a kind of chip that measures and measures errors.

The overall configuration of the present invention is an MCU that calculates and stores measured data of the amount of power generated from the voltage sensor and the current sensor, monitors the measured data, and transmits the data to the outside at all times according to a self-set cycle, and the MCU It is composed of a metering IC that monitors the measured data and error accuracy of , compares the error with the watt-hour meter, and notifies the MCU of an error correction value required when an error occurs. In addition, an upper server is formed at a distance from the watt-hour meter to receive, collect, and store the data transmitted from the MCU.

1 is an overall configuration diagram of a watt-hour meter that performs error accuracy and self-diagnosis according to the present invention, FIG. 2 is a flowchart showing a method for detecting error accuracy by a metering IC monitoring an MCU in real time, and FIG. 3 is a flow chart showing a metering IC It is a flowchart showing a method of determining an error correction value and executing a firmware update through an upper server. FIG. 4 is a configuration diagram of a system for monitoring an watt-hour meter, and FIG. 5 is a block diagram showing the main components of the smart sensor of FIG. 6 is a block diagram showing the main configuration of the operation server, FIG. 7 is an overall configuration diagram for explaining a system for diagnosing and monitoring a power meter, and FIG. 8 is a block diagram for explaining a monitoring device. 9 is a flowchart showing a machine learning-based learning result information generation and failure diagnosis method.

1, it is an overall configuration diagram of the present invention. As shown, the MCU 10 measures voltage, current, and phase through a voltage sensor 11 and a current sensor 12, and converts measurement data to the MCU ( 10) to send.

Then, the MCU 10 calculates effective, inactive, apparent power or amount of power, calculates measurement and measurement data (active/inactive/apparent power and amount of power), records and stores them, and executes an operation. The contents of the operation perform and store operations such as battery (not shown) abnormality, over/low voltage, over/low current, voltage/current phase loss, abnormal temperature, magnetic field detection, and the like.

In addition, the metering IC 20, which will be described later, frequently receives data from the MCU 10, collects operation information and metering data, and the metering IC 20 collects data to monitor the MCU 10 at regular monitoring cycles It monitors and compares whether there is an error through the data received from the MCU (10).

When the metering IC 20 detects the difference in error, it calculates and determines the error correction value and transmits it to the upper server 30 spaced apart from the watt-hour meter 5 in real time. The method of calculating the error correction value of the weighing IC 20 can be performed through automatic calculation using an internal algorithm. Since a description of this is a well-known technique, a detailed description thereof will be omitted.

In other words, the metering IC 20 receives data from the MCU 10, collects operation information and metering values, and compares them. and collection and comparison.

In addition, the metering IC 20 also serves to notify the upper server 30 by making an alarm sound when an error occurs while monitoring the MCU 10 . A detailed description of the configuration and operation of notifying the metering IC 20 to sound an alarm so that the server 30 sounds an alarm will be omitted since it is a well-known technique.

Also, the MCU 10 always transmits data to the upper server 30 in real time according to a self-set cycle. For example, data values and measurement values to be stored at 15-minute intervals (adjustable) are transmitted to the upper server (30). In addition, the upper server 30 serves to receive, collect, and store data transmitted from the MCU 10 or metering IC 20.

Like the MCU 10, the metering IC 20 measures the voltage, current, and phase through the voltage sensor 21 and the current sensor 22 and transmits the data to the metering IC 20. , Reactive, apparent power or amount of power is calculated, and measurement and metering data are recorded and stored, which is the same as the MCU 10.

In addition, the metering IC 20 detects an excess threshold through data comparison with the MCU 10 and notifies the upper server 30 when an abnormal situation occurs. is to transmit In other words, it also plays a role of notifying the upper server 30 when an abnormal situation occurs by detecting error precision. A description of grasping the error accuracy will be described later.

The form of the upper server 30 may be a normal server or modem, and serves to receive and store data from the MCU 10 or deliver it to a high-level upper system (not shown) or related organizations. Here, the upper system means a system connected through wireless communication, such as a superior server different from the upper server 30 or a modem.

In other words, the upper server 30 serves to receive the error correction value from the metering IC 20 and notify and transmit it to the upper system so that the error correction value can be changed through firmware update. The firmware update refers to an online service capable of correcting an error found in a device or adding a new function to the watt-hour meter 5 through remote program upgrade.

That is, the metering IC 20 draws data from the MCU 10 and compares errors such as operations with each other so that errors can be confirmed in real time.

Since the metering IC 20 also performs functions such as measurement, metering, self-diagnosis, etc. and records and stores data in the same way as the MCU 10, when the MCU 10 fails or malfunctions, the metering data It is to prevent the loss of to minimize the blank period of measurement until repair and replacement of the watt-hour meter (5).

Hereinafter, the operational relationship of the upper server 30 will be described.

As described above, the metering IC 20 periodically monitors (monitors) functions such as measurement, metering, and self-diagnosis of the MCU 10. By comparing the weighing data, it is detected that the difference set for a certain period of time exceeds the threshold value, and a value for error correction is calculated. The error correction value calculated as above is transmitted to the upper server (30).

That is, to explain the operational relationship of the weighing IC 30 again, the measurement/measuring data of the MCU 10 is monitored, and when an error value exceeds a set threshold value, an alarm is sent to the upper server 30, and the current The optimal error correction value for the power state of is transmitted to the upper server (30). Since a detailed description of the technology for transmitting the alarm is a widely established technology, detailed description will be omitted.

The upper server 30 formed remotely from the watt-hour meter 5 is The error accuracy value transmitted from the weighing IC 20 is checked, and a solution is determined.

Then, the upper server 30 notifies a remote upper system (not shown) of a firmware update or replacement of an electricity meter.

Therefore, in the present invention, the MCU 10 and the metering IC 20 for monitoring for error correction of the MCU 10 are embedded in the watt-hour meter 5, and the error correction of the MCU 10 should be performed. When a situation to be done occurs, an error correction value is calculated through an algorithm built into the weighing IC 20. Then, the metering IC 20 transmits the error correction value to the upper server 30 and changes the error correction value through firmware update of the energy meter 5 .

As such, the present invention has the effect of providing accurate metering services to consumers through accurate error correction, increasing the reliability of data, establishing a fair electricity trading environment, and reducing overall operating costs through efficient work processing.

Hereinafter, a description will be given of a flow in which the metering IC 20 monitors the MCU 10 in real time to determine the error accuracy with reference to the drawings. Redundant descriptions in the above-described embodiments will be omitted to some extent.

First, the MCU 10 measures the voltage from the voltage sensor 11 and the current from the current sensor 12 to calculate the amount of power. The metering IC 20 also measures the voltage from the voltage sensor 21 and the current from the current sensor 22 to calculate the amount of power (first step).

The metering IC 20 monitors the MCU 10 in real time (second step).

The metering IC 20 compares the measured amount of power received through the MCU 10 and determines whether the error range set by itself is out of a threshold value (step 3).

Here, the set value is set in advance in the weighing IC 20, so that, for example, when an error of 0.1% to 1% occurs, an arbitrary alarm can be generated and other measures can be taken. In addition, it is possible to change the setting value as much as possible.

Furthermore, the metering IC 20 compares voltage, current, phase, and power with the MCU 10 in addition to the amount of power. Therefore, the third step is a step in which the weighing IC 20 detects whether or not the error precision is defective.

If the value such as the amount of power compared in the third step is out of the set threshold, the metering IC 20 notifies and transmits a signal to the upper server 30 that the error precision of the MCU 10 is poor. to do (step 4).

The upper server 30, notified through the fourth step, checks the error precision, determines an appropriate solution, and takes action (fifth step).

Hereinafter, a description will be given of a method in which the metering IC 20 monitors the MCU 10 in real time and determines and transmits an error correction value with reference to the drawings. Likewise, redundant descriptions in the above-described embodiments will be omitted to some extent.

First, the MCU 10 receives current and voltage data from the voltage sensor 11 and the current sensor 12 to measure/measure the amount of power (S1).

Next, the metering IC 20 executes an operation of monitoring the MCU 10 in real time (S2).

The metering IC 20 compares the error in the MCU 10 and determines whether the error exceeds a certain range (S3).

If, in S3, the error exceeds the range or does not match, the metering IC 20 calculates and determines the error correction value of the MCU 10 by calculation through an internal algorithm, and the metering IC ( 20) transmits the data of the error correction value calculated to the upper server 30 (S4). The metering IC 20 and the upper server 30 have ports (not shown) on both sides, through which they communicate with each other.

The upper server 30, which has received the data through S 4 , requests an external institution and the like to transmit the watt-hour meter 5 so that it can take appropriate measures such as firmware update (S 5).

Hereinafter, a description will be given of an apparatus for monitoring a watt-hour meter that performs self-diagnosis and error accuracy of the present invention with reference to the drawings by using artificial intelligence.

4 and 5, the device for monitoring the watt-hour meter 5 drives the watt-hour meter 5 that measures voltage, current, and phase from current sensors 12 and 22 and voltage sensors 11 and 21. It consists of a smart sensor 50 having a main MCU 10 that controls and a communication module 40 that transmits monitoring information to the watt-hour meter 5.

Then, a repeater 60 providing monitoring information of the smart sensor 50 to the outside is formed.

In addition, the communication module 120 for receiving and providing monitoring information of the smart sensor 50 provided from the repeater 60 through the Internet network, and the DB module 130 for storing and managing the received monitoring information, , AI module 140 for learning the monitoring information of the DB module 130 and real-time monitoring information provided from the smart sensor 50 to determine an alarm situation, the communication module 120, and the AI module 140 ) And the operation server 100 including a control unit 110 for controlling the driving of the DB module 130 is provided.

It consists of a terminal 90 that displays the monitoring information provided by the operation server 100 to the user.

The smart sensor 50 monitors various environments around the watt-hour meter 5 and collects information, and includes a plurality of sensors (not shown). The smart sensor 50 collects information by detecting ambient temperature, humidity, fine dust, etc., and the information detected by the sensor is transmitted to the operation server 100 in real time through the repeater 60.

The MCU 10 controls each sensor of the watt-hour meter 5 to transmit sensed information to the outside. The communication module 10-1 transmits the sensing information of the power meter 5 to the repeater 60 under the control of the MCU 10, and may be configured with various types of wired and wireless communication means.

The display module 10-2 displays whether the watt-hour meter 5 is normally operating under the control of the MCU 10, and may be composed of LED lamps for displaying various colors.

The alarm module 10-3 is a configuration that informs an alarm from the smart sensor 50 itself when an abnormal signal is detected from a specific sensor under the control of the MCU 10, and will be composed of a normal alarm means such as a buzzer or siren. can

At this time, the MCU 10 is configured to determine whether the signal detected by the sensor is an abnormal signal. The power module 10-4 is configured to supply power for driving each component of the smart sensor 50 using external power, and may include a power connection means and a charging means.

The repeater 60 receives detection information from the smart sensor 50, transmits it to the external operation server 100, and receives a control signal from the operation server 100 or the terminal 90. The repeater 60 for this purpose is composed of means capable of internet access to the outside and short-distance communication with respect to internal devices, and may be composed of, for example, an LTE router or a wired/wireless sharer.

The operation server 100 uses the information transmitted from the smart sensor 50 to determine whether an alarm situation has occurred inside the energy meter, and provides the internal situation to the terminal 90 so that the user can check it in real time.

As shown in FIG. 6, the operation server 100 for this purpose includes a control unit 110, a communication module 120, a DB module 130, a learning unit 141, an analysis unit 142, A judgment unit 143 is included. As shown, the learning unit 141, the analysis unit 142 and the judgment unit 143 constitute the AI module 140.

The communication module 120 is configured to communicate with the smart sensor 50 and the terminal 100, and may be configured with various communication means such as LTE and 5G. The DB module 130 cumulatively stores and manages information transmitted from the smart sensor 50 .

The information stored and managed in the DB module 130 is provided to the AI module 140 and used as data for determining an alarm situation according to repetitive learning.

The AI module 140 learns and statistics/analyzes real-time information provided from the smart sensor 50 and the DB module 130 to control an alarm situation to be determined most efficiently and precisely. The AI module 140 performs deep learning on the sensor information monitored by the smart sensor 50 and the sensor information provided by the DB module 130, and through this mechanical learning, the local environment of each region where the watt-hour meter 5 is installed It controls the alarm situation by setting and determining the most appropriate risk display value such as and characteristics.

The AI module 140 for this may include a learning unit 141, an analysis unit 142, and a judgment unit 143. The learning unit 341 learns the information monitored in real time through deep learning, the analysis unit 142 analyzes the monitored information in conjunction with learning to set a risk display value, and the judgment unit 143 analyzes the result According to this, it is determined whether there is an alarm situation for real-time monitored information.

Therefore, in the operation server 100 that works with the AI module 140, it is possible to minimize an error in issuing an alarm due to the characteristics of the local environment or residents.

The control unit 110 controls information transmission with the smart sensor 50 and the terminal 90 through the communication module 120, and controls the AI module 140 to learn and determine an alarm situation. In addition, the control unit 110 provides the information monitored by the smart sensor 50 to the terminal 90 in real time so that the user can check the situation even from the outside.

The terminal 90 is a terminal owned by a person having a position to monitor information in the watt-hour meter 5, for example, an external manager, and provides real-time monitoring information transmitted from the operation server 100 to the manager. To this end, a system for receiving and displaying real-time monitoring information is installed in the terminal 90 in the form of an application.

The monitoring system configured as described above is configured to simultaneously collect various information using the smart sensor 50, etc., learn and analyze the collected information cumulatively, and alarm by the environment and characteristics in which the watt-hour meter 5 is installed. Ordering errors can be minimized.

Hereinafter, a description will be given of a system for diagnosing and monitoring a failure of the watt-hour meter 5 according to the present invention with reference to the drawings.

As shown in FIG. 7, the monitoring system includes a monitoring device M, a gateway 200, and a management server 300 that remotely monitor a plurality of watt-hour meters 5-1 to 5-N that are sporadically distributed. made up of, etc.

The monitoring device M obtains failure-related information about the watt-hour meter by measuring vibration, voltage, and current failures of the strategic meters 5-1 to 5-N, and the obtained failure-related information about the electrical equipment. It also transmits device identification information.

The wired/wireless communication network ( 250) is passed through.

The management server 300 is configured with failure-related information about the watt-hour meters 5-1 to 5-N of the monitoring device M received from the gateway 200 through the wired/wireless communication network 250. Fault conditions are diagnosed based on the identification information, stored and managed in a database, and fault conditions of the watt-hour meters (5-1 to 5-N) are remotely monitored in real time.

In particular, the monitoring device M measures the failure of the watt-hour meters 5-1 to 5-N, obtains failure-related information of the watt-hour meter, and transmits unique device identification information together with the obtained failure-related information. perform a function

At this time, the unique device identification information of each watt-hour meter (5-1 to 5-N) is, for example, installation location, serial number of the device, manufacturer of the device, MAC (Media Access Control) address of the device, model and device of the device. It is preferable to include at least one of the versions of the information.

The unique device identification information may be provided from at least one of the producers and managers of the watt-hour meters 5-1 to 5-N, and may be previously stored in the storage module 156 in the monitoring device M.

The monitoring device M for monitoring the plurality of watt-hour meters 5-1 to 5-N is connected to the gateway 200 through a low power wide area network (LPWAN) (reference numerals are omitted). At this time, a low-power wide-area network (LPWAN) is a low-power long-distance communication technology, and can utilize direct spread spectrum code division multiple access (CDMA) technology capable of simultaneous transmission by distributing data over a wide bandwidth using little power.

Such a low-power wide area network (LPWAN) can process low-capacity data with low power, secure maximum security and safety through encryption/decryption communication, and provide various services over a wide area at low cost.

One or more monitoring devices M may be disposed remotely from the place where the plurality of watt-hour meters 5 are installed.

The monitoring device M has a function of obtaining failure-related information on the corresponding watt-hour meter by measuring a failure of at least one of vibration, voltage, and/or current for the point where the watt-hour meters 5-1 to 5-N are installed. carry out

Referring to FIG. 8, the monitoring device M as described above includes a control module 150, a vibration sensing module 151, a voltage sensing module 152, a current sensing module 153, and a communication module 155. , and a power supply module 154 and the like.

As shown, the monitoring device M may further include a storage module 156 and a display module 157.

The vibration sensing module 151 performs a function of detecting vibrations caused by external shocks of various components provided in the watt-hour meter 5 and outputting a vibration sensing signal for vibration generation.

The vibration sensing module 151 senses environmental information of a field to be monitored for vibration and outputs the corresponding sensor signal, such as a shock sensor and a speed sensor, in order to detect vibration indoors and/or outdoors. , an acceleration sensor, a gyroscope sensor, a piezoelectric sensor, and/or a pressure sensor may be used.

The voltage detection module 152 performs a function of detecting voltages of various devices such as the voltage sensors 11 and 21 connected to the watt-hour meter 5.

The current sensing module 153 performs a function of sensing currents of the current sensors 12 and 22 connected to the watt-hour meter 5 .

The voltage sensing module 152 and/or the current sensing module 153 may be integrated into one or provided separately, and are directly and/or indirectly connected to power lines (PL) that are introduced into a customer and distributed to a plurality, respectively. , and performs a function of detecting the current and/or voltage flowing through each power line (PL).

That is, the voltage sensing module 152 and/or the current sensing module 153 are directly and/or indirectly connected around each power line PL, so that each power line PL is detected by an electromagnetic induction phenomenon and/or a current magnetic effect. A module that detects the current and/or voltage flowing through the

The communication module 155 operates under the control of the control module 150, and transmits unique device identification information together with at least one failure-related information among vibration, voltage, and/or current for the watt-hour meter 5 to a low-power wide-area communication network ( It performs a function of transmitting to the management server 300 through the gateway 200 using LPWAN).

The control module 150 is a module for controlling the monitoring device M as a whole, and according to a specific control signal, the vibration sensing module 151, the voltage sensing module 152, the current sensing module 153, and the communication module ( 155), the power supply module 154, the storage module 156, and/or the display module 157, etc., perform a function of controlling operations.

In addition, the control module 150 detects at least one of vibration, voltage, and/or current for the watt-hour meter from at least one of the vibration sensing module 151, the voltage sensing module 152, and/or the current sensing module 153. Failure-related information is received, and unique device identification information is transmitted to the management server 300 through the gateway 200 along with at least one failure-related information among vibration, voltage, and/or current for the received watt-hour meter (5). It performs a function of controlling the operation of the communication module 155 to be transmitted.

In addition, the power supply module 154 includes each module, that is, vibration sensing module 151, voltage sensing module 152, current sensing module 153, communication module 155, control module 150, storage module 156 ) And/or a function of supplying necessary power to the display module 157, etc., it is preferable to be implemented with a conventional portable battery, but is not limited thereto.

The monitoring device M operates under the control of the control module 150, and identifies a unique device together with at least one failure-related information among vibration, voltage, and/or current for the watt-hour meters 5-1 and 5-N. It may further include a storage module 156 that stores information periodically and/or in real time.

That is, the storage module 156 may store and maintain at least one program code executed through the control unit 150 and at least one data set used by the program code. Such a storage module 156 is, for example, a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg SD or XD memory, etc.), RAM (RAM), SRAM (Static Random Access Memory), It may include at least one type of storage medium among ROM, EPROM, Programmable Read-Only Memory (PROM), magnetic memory, magnetic disk, and optical disk.

The monitoring device (M) operates under the control of the control module 150, and displays failure-related information and/or failure status of at least one of vibration, voltage, and/or current for the watt-hour meter 5 on the screen. A display module 157 may be further included.

The monitoring device M is preferably configured based on an AMI (Advanced Metering Infrastructure) network and operated according to control information received from the outside, such as the management server 300. Based on such an AMI network, it is possible not only to read power consumption from the watt-hour meter (Metering), but also to provide a charge information service.

In addition, the AMI network base remotely reads the usage of various smart meters such as electricity, gas, water, hot water, and heat installed in consumers consuming energy, while automatically collecting, analyzing, and processing the information in the upper system. After that, it means a two-way communication infrastructure that provides it to the consumer again.

The gateway 200 is connected between the monitoring device M and the remote management server 300 to serve as a relay for data and/or signals, and the gateway 200 connects each power meter through a low power wide area network (LPWAN). It is connected to (5-1 to 5-N) and the monitoring device (M), and is connected to the management server 300 through a wired/wireless communication network 250.

The gateway 200 receives the unique device identification information along with the failure-related information transmitted from the monitoring device M through the LPWAN, and transmits it to the management server 300 through the wired/wireless communication network 250. do.

In addition, the gateway 200 performs a function of transmitting control information transmitted from the management server 300 to the monitoring device M through the wired/wireless communication network 250. On the other hand, it is preferable that the wired/wireless communication network 250 is made of, for example, Ethernet or a mobile communication network.

The management server 300 is connected to the gateway 200 through the wired/wireless communication network 250, and is related to the failure of the watt-hour meter of the monitoring device M received from the gateway 200 through the wired/wireless communication network 250. In addition to diagnosing the fault condition based on the unique device identification information along with information and storing and managing it in a database (DB), the fault condition for the watt-hour meter (5-1 to 5-N) is remotely real-time and/or Perform periodic monitoring function.

In addition, the management server 300 transmits at least one failure-related information of vibration, voltage, and/or current for at least one point of the watt-hour meter transmitted from each watt-hour meter 5-1 to 5-N through the gateway 200. is provided, and based on this, when at least one range of a predetermined normal value of vibration, normal voltage value, and/or normal current value is exceeded, the corresponding watt-hour meter may be diagnosed as a faulty state.

In addition, the management server 300 receives unique device identification information along with failure-related information about the watt-hour meter transmitted from the monitoring device M through the gateway 200, and uses it to determine the corresponding watt-hour meter (5-1 to 5- N), search for the location information of the preset watt-hour meter corresponding to the searched location, store and manage the failure-related information and/or failure status of the watt-hour meter for each location in a database (DB), and based on this, the failure state of the watt-hour meter for each location A power meter management service may be provided so that is displayed on the display screen.

Hereinafter, a machine learning-based fault diagnosis monitoring method for fault diagnosis and diagnosis of an watt-hour meter will be described.

The machine learning (learning algorithm applying mathematics and statistics to a computer) based fault diagnosis monitoring method (the method below) generates learning result information for fault diagnosis that can determine whether the power meter 5 is normal or abnormal, and then generates Since it is a machine learning-based fault diagnosis monitoring method that diagnoses faults of the watt-hour meter (5) subject to fault diagnosis using learning result information, it is possible to quickly and accurately identify faults and carry out maintenance in a timely manner, thereby preventing indiscriminate maintenance. It can be prevented.

Referring to FIG. 9, a learning result information generation step (S10) of generating learning result information for fault diagnosis that can determine whether the power meter 5 is normal or abnormal is formed.

The information generation step (S10) of the learning result has the following steps.

A step of obtaining normal raw data for each sensor of the normal watt-hour meter 5 is performed (S11).

The S11 is to install sensors (not shown) at each position of the normal watt-hour meter 5, install the sensors, and operate the strategic meter 5 of the present invention to obtain normal raw data for each sensor. .

This is a step of acquiring abnormal raw data for each sensor of the abnormal power meter 5 (S12).

S12 is to acquire abnormal raw data for each abnormal sensor by faulty part after building the abnormal strategic meter (5).

This is a process of acquiring abnormal raw data for each abnormal sensor by faulty part after building the abnormal watt-hour meter (5), which means that a specific part is broken in the normal strategic meter (5). For example, by replacing a part installed in a specific part with an abnormal part, it becomes an abnormal watt-hour meter (5).

The abnormal power meter 5 is constructed and operated to obtain abnormal raw data for each sensor by causing a failure by changing a specific part.

In the next step, using the acquired normal raw data for each sensor and the abnormal raw data for each sensor acquired for each faulty part, learning result information for fault diagnosis of the watt-hour meter 5 that can determine whether the watt-hour meter 5 is normal or abnormal is generated. Do (S13).

The S13 generates learning result information for fault diagnosis that can determine whether it is normal or abnormal using the normal raw data for each sensor acquired through S11 described above and the abnormal raw data for each sensor acquired for each faulty part through S12 described above. As a step, the failure is diagnosed through a failure diagnosis step (S20) to be described later using the learning result information for failure diagnosis generated through S13.

In particular, the abnormal raw data for each sensor acquired through S12 is characterized by being abnormal raw data for each sensor generated for each faulty part. It is repeatedly performed, and it is repeatedly performed as many times as set for each failure part to learn.

A failure diagnosis step (S20) of diagnosing a failure of the watt-hour meter 5 to be diagnosed using the learning result information for failure diagnosis generated in step S10 will be described.

S21 is to install a sensor on the watt-hour meter 5, and to install each sensor on the watt-hour meter to be diagnosed.

S22 is to operate the watt-hour meter 5 to obtain failure diagnosis data for each sensor.

S23 diagnoses the failure of the watt-hour meter 5 subject to failure diagnosis by using the fault diagnosis data for each sensor obtained in S22 and the learning result information for fault diagnosis generated in S10.

S23 is a step of diagnosing a failure of the watt-hour meter subject to fault diagnosis using the fault diagnosis data for each sensor obtained through S22 and the learning result information for fault diagnosis generated in the learning result information generation step S10. Characteristic values for each sensor are extracted from the fault diagnosis data, and the extracted characteristic values for each sensor are compared with learning result information for fault diagnosis to determine whether the watt-hour meter subject to fault diagnosis is normal or abnormal.

The learning result information for fault diagnosis includes information on characteristic value ranges for each sensor of a normal watt-hour meter and information about characteristic value ranges for each sensor of an abnormal watt-hour meter for each faulty part.

That is, S23 is a process of comparing the extracted characteristic value for each sensor with the learning result information for fault diagnosis, and determining whether it is normal or abnormal using the watt-hour meter to be fault-diagnosed.

Since the learning result information for fault diagnosis includes information on the characteristic value range of each sensor of a normal watt-hour meter and information about the characteristic value range of each sensor of an abnormal watt-hour meter by faulty part, the extracted characteristic value of each sensor is used for fault diagnosis learning Comparing with the result information means comparing the extracted characteristic value of each sensor with the characteristic value range of each sensor of a normal watt-hour meter and comparing the extracted characteristic value of each sensor with the characteristic value range of each sensor of an abnormal watt-hour meter for each faulty part. do.

For example, the normal characteristic value range of the acceleration sensor (not shown) installed in the watt-hour meter in the learning result information for fault diagnosis is 1 to 5, the abnormal characteristic value range of the acceleration sensor when the MCU 10 fails is 6 to 10, Assuming that the abnormal characteristic value range of the acceleration sensor when the metering IC 20 fails is 8 to 13, the characteristic value of the acceleration sensor extracted from the acquired failure diagnosis data is set to the normal characteristic value range of 1 to 5, MCU (10) Comparing with the abnormal characteristic value range of 6 to 10 of the acceleration sensor at the time of failure and the abnormal characteristic value range of 8 to 13 of the acceleration sensor at the time of the metering IC 20 failure.

As a result of comparison, if the characteristic value of the acceleration sensor extracted from the fault diagnosis data falls within the normal characteristic value range of 1 to 5 of the acceleration sensor, it is normal. If it belongs, the MCU 10 is faulty, and if it belongs to the abnormal characteristic value range of 8 to 13 of the acceleration sensor when the metering IC 20 fails, it is determined that the metering IC 20 is faulty. In this case, it is determined that the MCU 10 and the metering IC 20 are out of order.

Through the above method, the watt-hour meter diagnosis method allows the user to accurately identify the specific faulty part of the watt-hour meter subject to fault diagnosis and take action quickly. It becomes impossible to judge, so you can solve problems such as replacing the whole thing.

Those skilled in the art to which the present invention pertains as described above will understand that it can be implemented in other specific forms without changing the technical spirit or essential characteristics of the present invention. Therefore, it should be understood that the above-described embodiments are illustrative and not limiting.

The scope of the present invention is indicated by the appended claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts should be construed as being included in the scope of the present invention. do.

5: power meter 10: MCU
11: voltage sensor 12: current sensor
20: weighing IC 21: voltage sensor
22: current sensor 30: upper server
40: communication module 50: smart sensor
60: repeater 90: terminal
100: operation server 110: control unit
120: communication module 130: DB module
140: AI module 141: learning unit
142: analysis unit 143: judgment unit
M: monitoring device 151: vibration sensing module
152; voltage sensing module 153; current sensing module
154: power supply module 155: communication module
156: storage module 157: display module
200: Gateway
250: wired/wireless communication network 300: management server

Claims (4)

In a watt-hour meter that measures voltage, current and phase from a current sensor and a voltage sensor,
an MCU for calculating the amount of power generated from the voltage sensor and the current sensor and storing the measured data, monitoring the measured data and transmitting the data to the outside according to a self-set cycle; and
and a metering IC that monitors the measured data and error accuracy of the MCU, compares the error with the watt-hour meter, and notifies the MCU of an error correction value required and sounds an alarm when an error occurs. A power meter that can calculate the error correction value for
According to claim 1,
The watt-hour meter capable of calculating an error correction value, further comprising an upper server that is formed apart from the watt-hour meter and receives, collects, and stores the data transmitted from the MCU.
According to claim 1 or 2,
The upper server receives the error correction value from the metering IC and transmits the error correction value to the upper system so that the error correction value can be changed through firmware update.
According to claim 1 or 2,
The metering IC automatically calculates the error correction value using an internal algorithm.

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