KR101757056B1

KR101757056B1 - Adaptive Smart Power Measurement Apparatus for Identifying Device and Method thereof

Info

Publication number: KR101757056B1
Application number: KR1020150135652A
Authority: KR
Inventors: 이재철
Original assignee: 원우엔지니어링주식회사
Priority date: 2015-09-24
Filing date: 2015-09-24
Publication date: 2017-07-26
Also published as: KR20170036462A

Abstract

An adaptive smart power measurement device and method capable of device identification is presented. An adaptive smart power measurement method capable of identifying a device includes: registering at least one eigenvalue of power, current, and phase for each of a plurality of devices to be measured; Collecting at least one measured value among the measured current, power, and power from the plurality of devices; Sensing a change in the measured value; Retrieving the eigenvalue of a power or current matched with a power or current variation value when a change in the measured value is sensed; Determining one device to be matched according to the search; And accumulating and storing the amount of power changed by the power consumption amount of the one device discriminated, wherein the step of discriminating the matching one device comprises the steps of: And discriminating one device that matches the eigenvalue of the phase. By measuring and storing the moving average of each eigenvalue by time / day / month, it is used as judgment data to diagnose the lifetime of the device. By applying the eigenvalue to the latest value by using the moving average value, Accuracy can be increased.

Description

Technical Field [0001] The present invention relates to an adaptive smart power measurement apparatus and method capable of identifying a device,

The following embodiments are directed to an adaptive smart power measurement device and method capable of device identification.

Power supply is needed to keep people's lives and activities at home and at work. Businesses that supply these electric power to each customer are charged electricity fees based on the measured values by installing a watt-hour meter to measure the amount of electric power supplied to each customer.

Korean Unexamined Patent Application Publication No. 10-2000-0044375 relates to such a multi-meter single wireless remote meter reading system, wherein the use amount of an integrated watt hour meter, a water meter, a gas meter, a hot water meter, and a calorimeter used in the home is read from one meter reading device, Discloses a technology related to a single-meter single wireless remote meter reading system that can be confirmed on the display unit.

Recently, a remote meter reading system has been proposed, but it is difficult to confirm the amount of power used by each device.

Embodiments describe an apparatus and method for measuring an adaptive smart energy amount capable of identifying a device, and more specifically provide a technique relating to an apparatus and method capable of identifying a powered device through collected power usage information.

Embodiments use power and current magnitude and phase shifts to identify power consuming devices and transmit alarms to user terminals using wireless communication to monitor power usage information in real time and to identify key energy consumption factors And to provide an adaptive smart power measurement apparatus and method capable of identifying a device having the same.

According to an embodiment, an adaptive smart power measurement method capable of identifying a device includes: registering at least one eigenvalue of power, current, and phase for each of a plurality of devices to be measured; Collecting at least one measured value among the measured current, power, phase, and power from the plurality of devices; Sensing a change in the measured value; Retrieving the registered unique value of power or current matched with a power or current variation value when a change in the measured value is sensed; Determining one device to be matched according to the search; And accumulating and storing the amount of power changed by the power consumption amount of the one device discriminated, wherein the step of discriminating the matching one device comprises the steps of: And discriminating one device to be matched with the eigenvalue of the phase.

The step of discriminating the matching device further includes accumulating and storing the amount of power that has been changed in other power consumption amounts when the matching device is absent, And registering an eigenvalue of the standby power for each of the plurality of devices, and determining whether the code power source is connected to each of the plurality of devices by determining a change in the standby power from the sensed measured value.

The step of registering the eigenvalue may include the steps of maintaining the power consumption of the plurality of devices connected in advance and registering the measured values and the device to be registered in order to simplify the registration of the eigenvalue of the device to be newly registered And a difference between the measured eigenvalues is calculated and a registration command is issued through a button or an instruction to automatically store the eigenvalue calculated value of the device as the eigenvalue of the device.

A data management table is formed using the eigenvalue, the measurement value, and the accumulated power amount, and the device is identified by searching the data management table to update the measured value and the accumulated power amount, Wherein the step of registering the eigenvalues includes registering the plurality of eigenvalues according to the operation mode in the data management table when at least one of the devices has a plurality of eigenvalues according to the operation mode, The plurality of eigenvalues may be compared with each other to determine a device to be used.

And transmits the determined operation information of the one device to the user terminal using wireless communication, controls the operation of the device by receiving a control command from the user terminal, Service, or an application; And transmitting the accumulated power usage amount for each of the plurality of devices to the management server using wireless communication.

According to another aspect of the present invention, there is provided an adaptive smart power measurement apparatus capable of identifying a device, comprising: a register that registers at least one eigenvalue of power, current, and phase for each of a plurality of devices to be measured; A collecting unit for collecting at least one of a measured current, a power, a phase, and an amount of power measured from the plurality of devices; A sensing unit for sensing a change in the measured value; A search unit for searching for the registered eigenvalues of the electric power or electric current matching the variation value by the electric power or the electric current and discriminating the matching device when the variation of the measured value is sensed; And a storage unit for accumulating and storing the amount of power changed by the power usage amount of the identified device, wherein the search unit calculates a phase when there are a plurality of devices to be matched, Can be determined.

Here, the register may register an eigenvalue of the standby power for each of the plurality of devices, determine a change in the standby power from the sensed measured value, and determine whether the code power is connected to each of the plurality of devices Wherein the search unit classifies the power unit as a separate power unit when there is no matching unit and the storage unit accumulates and stores the amount of power changed to a separate power usage amount when the power unit is classified as the separate power unit, The data management table is formed using the measured value and the accumulated power amount. The searching unit can identify a matching device by referring to the data management table, and update the measured value and the accumulated power amount.

The wireless communication unit transmits the operation information of the identified one device to the user terminal using wireless communication or transmits the accumulated power usage amount of each of the plurality of devices to the management server using wireless communication .

According to embodiments, the power usage information can be monitored in real time by identifying the power usage device using the magnitude and phase shift of the power and current and transmitting the alarm to the user terminal using the wireless communication, It is possible to provide an adaptive smart power measurement apparatus and method capable of identifying a device that can be identified.

According to the embodiments, by identifying the power using device through the collected power usage information, it is possible to track the intrinsic use power of the device and to estimate the lifetime of the device by using the shift of the value of the inherent power, Type smart power measurement apparatus and method.

1 is a diagram for explaining an IoT-based energy management system using an adaptive smart power measurement device capable of identifying a device according to an embodiment.
2 is a block diagram illustrating an adaptive smart power measurement device capable of device identification according to one embodiment.
3 is a flow chart illustrating an adaptive smart power measurement method capable of identifying a device according to another embodiment.
4 is a flow chart illustrating an adaptive smart power measurement method capable of identifying a device according to yet another embodiment.
FIGS. 5 and 6 are diagrams for explaining the vector and the impedance characteristic of each device according to the magnitude and phase of power or current according to an embodiment of the present invention.
FIGS. 7 and 8 are diagrams for explaining a method of calculating the magnitude and phase shift of a changed power or current according to an embodiment.
9 is a diagram for explaining managing a moving average of eigenvalues according to an embodiment.
FIG. 10 and FIG. 11 are graphs for explaining graphs according to daily, monthly, and yearly periods by dividing power usage by time period or device according to an embodiment.
12 is a diagram for explaining a data management table of power, current, phase eigenvalue and other data according to an embodiment.
13 is a diagram for explaining a big data service using an IoT-based energy management system according to an embodiment.
FIG. 14 is a diagram for explaining an example of an IoT-based energy management system according to an embodiment.

Hereinafter, embodiments will be described with reference to the accompanying drawings. However, the embodiments described may be modified in various other forms, and the scope of the present invention is not limited by the embodiments described below. In addition, various embodiments are provided to more fully describe the present invention to those skilled in the art. The shape and size of elements in the drawings may be exaggerated for clarity.

1 is a diagram for explaining an IoT-based energy management system using an adaptive smart power measurement device capable of identifying a device according to an embodiment.

1, an IoT-based energy management system 100 using an adaptive smart power measurement device 110 capable of identifying a device includes an adaptive smart power measurement device 110 capable of identifying the device, a user terminal 120, And a management server 130. [0029]

The adaptive smart power measurement device 110 capable of identifying the device is an apparatus for measuring the power consumption of the plurality of devices 111. The device is connected to the plurality of devices 111 to measure power, current, phase, standby power, The used device 111 can be identified by collecting and analyzing usage information.

More specifically, the adaptive smart power measurement device 110 capable of identifying the device can be connected to the device 111 using electric power such as a refrigerator, a washing machine, an air conditioner, a lamp, etc. to measure electric power, current, Can be measured. From the power usage information such as the measured power, current, phase, and standby power, it is possible to distinguish the power consuming device 111 from the inherent characteristic tracking of each device, and it is possible to distinguish between Bluetooth (Blast Low Energy), WiFi And may be connected to the user terminal 120 or the router 140 to provide power usage information to the management server 130 in real time.

The user terminal 120 can transmit device-specific power usage information from an adaptive smart power measurement device 110 capable of identifying the device through a character, a social networking service (SNS), an application, or the like, Power consumption can also be provided through tables and graphs. At this time, the user terminal 120 may be a smart device that can use a service by accessing a network such as a mobile phone, a smart phone, a tablet PC, and the like carried by the user.

The management server 130 collects power usage information from a predetermined group of subscribers and stores it as big data information on power usage. The management server 130 classifies the power usage information by various methods such as a subscriber, a region, a time zone, Can provide analysis and big data services.

Based on this analysis, it can be analyzed into subdivided fields such as power consumption by region and power consumption by device.

The router 140 may be an IoT-based router and may be connected to the IoT-based router so as to communicate with the adaptive smart power measurement device 110 capable of identifying the device and the smart device 120 or the management server 130 Talking) can perform various functions based on IoT.

Here, IoT (Internet of Things) relates to a network configuration and operation connected to an IoT network system or an IoT network system that can be applied to a communication environment or a communication system.

By forming the IoT-based energy management system 100 using the adaptive smart power measurement device 110 capable of identifying the device, it is possible to monitor power by device in real time in a home or a factory, Energy consumption can be induced by raising awareness of use. In addition, by tracking and analyzing the variation of eigenvalues such as intrinsic current and power, standby power, and phase for each device, it proactively analyzes the life span of the device and the possibility of short circuit, Prevention of fire, short circuit, excessive power consumption, etc.

2 is a block diagram illustrating an adaptive smart power measurement device capable of device identification according to one embodiment.

2, an adaptive smart power measurement apparatus 200 capable of identifying a device includes a registration unit 210, a collection unit 220, a sensing unit 230, a search unit 240, and a storage unit 250 . Furthermore, the device-identifiable adaptive smart power measurement device 200 may further include a wireless communication unit 260 to exchange information with a user terminal or a management server using wireless communication.

The registering unit 210 may register at least one eigenvalue of power, current, and phase for each of a plurality of devices to be measured.

Also, the registering unit 210 can register the unique standby power for each of the plurality of devices, and confirm whether or not the code power source is connected to each of the plurality of devices from the measured values collected.

The registration unit 210 can collect a unique value for each device, such as power, current, phase, standby power, etc., to create a registration data management table.

Meanwhile, the registering unit 210 may be formed as a separate storage space from the storage unit 250 for accumulating and storing power consumption by each device, or may be classified and stored in the same storage space. For example, an intrinsic value such as power, current, phase, and standby power for each device is registered, and the measured value measured from the adaptive smart power measurement device 200 capable of identifying the device is registered and updated to create a data management table .

For example, in order to simplify the registration of eigenvalues of a device, the registration unit 210 may change the use of electric power of a plurality of devices while a plurality of devices are connected, (Size, phase) of the new device can be automatically measured, calculated and stored.

Also, in the case of a device having a plurality of eigenvalues among the devices, a plurality of eigenvalues are additionally registered in the data management table, and a plurality of eigenvalues are multiplexed from the sensed eigenvalue change measurement values, Can be identified.

The collecting unit 220 may collect at least one of the measured current, power, amount of power, phase, and standby power from the plurality of devices. Here, the electric power means electric energy consumed for 1 second, and the electric energy amount can mean the total electric energy consumed for a predetermined time.

For example, the collecting unit 220 may collect the measured amount of power from each device and store the total amount of the device and the total amount of power. The collector 220 can collect and store the eigenpower, the eigenpower, the eigenpower, and the eigenpower from each device, and store the moving average value of each eigenvalue. The collecting unit 220 may collect and store a plurality of eigenvalues from each device. That is, the collecting unit 220 may collect and store multiple eigenpower, intrinsic current, and eigenfrequency. The collecting unit 220 may collect and store variation amounts of current, current, phase, and standby power from each device. The collecting unit 220 may collect and store the current and phase from each device.

The sensing unit 230 may analyze the measured values collected by the collecting unit 220 to sense changes in the measured values. For sensing, one or more of a change in power amount, a change in current, a change in power, and a change in phase may be used.

When the change of the measurement value is sensed by the sensing unit 230, the search unit 240 refers to the register 210 to search for the unique value of the power or current matching the variation value by the power or current change So that the device to be matched can be identified. That is, the magnitude of the power and the current can identify the device in which the power is used.

For example, the search unit 240 may calculate an absolute value of a difference between a previous power amount and a current power amount as a power amount variation value to retrieve an eigenvalue of a matching power or current. The searching unit 240 may calculate the absolute value of the difference between the previous power and the current power as a power variation value. Accordingly, the search unit 240 can refer to the register 210 to find a registered eigenvalue that matches the power variation value. The current variation value can be similarly applied.

The data management table may be formed using the eigenvalues of the registering unit 210 and the storage unit 250, the measured values, and the accumulated power amount. The searching unit 240 may search for a matching device Can be distinguished.

The search unit 240 may calculate a phase when a plurality of devices to be matched and determine one device that matches the eigenvalue of the registered phase.

In addition, eigenvalues such as intrinsic current, intrinsic power, and eigenmode for each device are continuously tracked and updated, and the change of each eigenvalue is applied at regular intervals to newly recalculate the eigenvalues. Values, and recent values can be applied.

The storage unit 250 may accumulate and store the amount of power changed by the power usage amount of the identified device. Accordingly, the storage unit 250 can accumulate and store the power consumption for each device. The storage unit 250 may be a storage space disposed in the apparatus. However, the storage unit 250 may be a storage space that is spaced apart from the device by a predetermined distance and can exchange information with the device by wireless communication.

On the other hand, if there is no matching device in the search unit 240, it can be classified as a separate power device. When classified as a separate power device, the storage unit 250 may accumulate and store the changed amount of power as a separate amount of power consumption.

Further, the adaptive smart power measurement device 200 capable of identifying the device can further include the wireless communication unit 260 and can transmit information to the user terminal or the management server in real time using wireless communication.

More specifically, the wireless communication unit 260 can transmit the operation information of the one device determined to be used for power to the user terminal in real time using wireless communication such as Bluetooth, Wi-Fi, 3G, or LTE. Also, the wireless communication unit 260 can transmit the accumulated power usage amount for each device of the plurality of devices to the management server using wireless communication.

In this way, energy usage information can be identified by identifying the main factors of energy consumption by classifying the energy use by devices. Furthermore, it can track the inherent utility power of a device and diagnose the inefficiency and lifetime of each device.

3 is a flow chart illustrating an adaptive smart power measurement method capable of identifying a device according to another embodiment.

Referring to FIG. 3, the device-identifiable adaptive smart power measurement method can be described in more detail using the device-identifiable adaptive smart power measurement device 200 described in FIG. The adaptive smart power measurement apparatus 200 capable of identifying the device includes a registration unit 210, a collection unit 220, a sensing unit 230, a search unit 240, a storage unit 250, and a wireless communication unit 260 ).

In step 301, the registering unit 210 can register at least one eigenvalue of power, current, and phase for each of a plurality of devices to be measured.

Here, the registering unit 210 may register the unique standby power for each of the plurality of devices, and check whether the code power source is connected to each of the plurality of devices from the sensed measured value.

The registering unit 210 makes a plurality of devices connected to register a unique value so that there is no change in the use of the electric power and performs a registration command through a button or a command in a state of power use of the registered device after connection of the registering device The eigenvalue of the device to be registered can be automatically measured, calculated and stored. More specifically, in order to conveniently register an eigenvalue of a device to be newly connected in a state where a plurality of devices are connected, a device to be registered is connected and operated while maintaining power usage of a plurality of devices connected to the device, When registering the value through the button or command, the unique value of the registered device can be automatically measured, calculated and stored.

Further, when the registering unit 210 has a plurality of operation modes (i.e., OFF, power saving mode, normal mode, etc.) among a plurality of devices, the registering unit 210 has a plurality of eigenvalues according to the operation mode, A plurality of eigenvalues can be registered in the data management table. Thereafter, the search unit 240 can compare a plurality of eigenvalues from the variation values obtained by the calculation.

In step 302, the collecting unit 220 may collect at least one of the measured values of the current, power, phase, and power measured from the plurality of devices.

In step 303, the sensing unit 230 may sense a change in the measured value.

In step 306, the search unit 240 may retrieve the eigenvalue of the power or current that matches the variation of the power or current when a change in the measured value is sensed.

Meanwhile, in step 304, the search unit 240 may calculate the power amount variation value using the absolute value of the difference between the previous power amount and the current power amount, in order to retrieve the eigenvalue of the matched power or current.

In operation 305, the search unit 240 may calculate the power variation value using the absolute value of the difference between the previous power and the current power. The current variation value may be calculated using the absolute value of the difference between the previous current and the current. Accordingly, the search unit 240 can refer to the register 210 to find a registered eigenvalue that matches the power variation value or the current variation value.

In step 307, the search unit 240 may determine one device to be matched according to the search. The data management table can be formed using the eigenvalues, the measured values, and the accumulated power amount of the registration unit 210 and the storage unit 250. The search unit 240 can refer to the data management table to identify a matching device .

If there are a plurality of devices to be matched in step 308, the search unit 240 may calculate the phase and search 309 for the eigenvalues of the registered phase matching the calculated phase, One device can be identified.

On the other hand, if there is no device to be matched in step 307, the amount of power that has been changed to the amount of other power consumption can be accumulated (311).

In step 310, the storage unit 250 may accumulate and store the amount of power changed by the power usage amount of one of the identified devices.

Then, the wireless communication unit 260 can transmit the operation information of the identified one device to the user terminal in real time using wireless communication. In addition, the wireless communication unit 260 transmits operation information of one identified device to the user terminal by using wireless communication, and controls the operation of the device by receiving a control command from the user terminal on the basis of IoT, , An application, or the like.

In addition, the wireless communication unit 260 can transmit the cumulative power usage amount of each device of a plurality of devices to the management server in real time using wireless communication.

As described above, according to the embodiments, the power usage information can be monitored in real time by identifying the power using device by using the magnitude and phase shift of the power and current, and transmitting the alarm to the user terminal using the wireless communication. The main factors can be identified.

In addition, by identifying the power consuming device through the collected power usage information, the moving average of the inherent values of the device can be tracked to grasp the aging of the device, predict the life span, and prevent accidents such as fire or shortage .

4 is a flow chart illustrating an adaptive smart power measurement method capable of identifying a device according to yet another embodiment. Referring to FIG. 4, a power measurement method for measuring a power and identifying a device is the same as that of FIG. 3, and thus a detailed description thereof will be omitted.

FIGS. 5 and 6 are diagrams for explaining the vector and the impedance characteristic of each device according to the magnitude and phase of power or current according to an embodiment of the present invention.

5 and 6, a method of measuring the power used in a home using an adaptive smart power measurement device capable of identifying the device and identifying the used device from the measured information will be described.

For example, when a load device such as a refrigerator, an air conditioner, a washing machine, or an air conditioner is used at home, an integrated smart power measuring device capable of identifying the device can be used to measure the total usage amount 510 And can be expressed in a graph as shown in FIG. 5A.

Thus, each device has a unique value such as power, current, and phase. More specifically, as shown in FIG. 5B, an impedance can be distinguished in the graph, and the impedance can be classified into an RL circuit impedance 520 and an RC circuit impedance 530.

Referring to FIG. 6, the impedance (Z) and phase (?) Can be calculated in the RLC circuit.

As mentioned above, the load device can distinguish the load device by using the magnitude of the electric power or the electric current because the electric power, the current, and the phase are different according to each device, and the impedance of the device It is also possible to identify the load device through the phase difference between the current and the voltage. Furthermore, the standby power can be grasped and the load device can be checked whether or not the load device is connected to the cord at the moment of connection.

Hereinafter, a method of detecting and estimating the magnitude and phase shift of the power or current will be described in detail, for example.

FIGS. 7 and 8 are diagrams for explaining a method of calculating a magnitude and a phase shift of a changed power or current according to an embodiment, and can be used to detect an additional connected or removed device through this method.

Referring to FIG. 7 and FIG. 8, the magnitude and phase shift of the current can be calculated by combining the device-specific vectors. In the synthesis of the vector diagram, the result values (that is, the measured values) It and θt, which are obtained by combining the basic values (ie, the previous values) I1 and the devices with the phase shift θx, , The magnitude Ix and phase shift? Of the current of the added device can be obtained.

On the other hand, the power can be expressed by the following equation.

[Equation 1]

Where P is power, V is voltage, I is current, COSθ is power factor according to phase shift of voltage and current, and θ is phase value due to phase difference between voltage and current.

Referring to FIG. 7, for example, a combination of a previous value 710 I1 = 10∠45 degrees, a variation value 720, Ix = Ix∠θ °, a combined value of a previous value 710 I1 and a variation value 720 Ix (730) It = 15 ∠48 °, the phase shift and the magnitude of the current can be expressed by the following equations.

&Quot; (2) "

(I ¹ * sin 45 ° + Ix * sin?) / (I 1 * cos 45 ° + Ix * cos?))

(I1 * cos45 + Ix * cos?) 2 + (I1 * sin45 + Ix * sin? 2)

Here, the It value synthesized by adding Ix to the current I1 can be derived. At this time, the magnitude Ix of the synthesized current and the phase shift? X can be obtained.

I1 = 10 ∠45 ◦, It = 15 ∠48 ◦

The change in magnitude of the current can be expressed by the following equation.

15 = root ((10cos45 DEG + Ix * cos?) 2 + (10sin45 DEG + Ix * sin?) 2)

= root ((7.07 + Ix * cos?) 2 + (7.07 + Ix * sin?) 2)

The phase shift can be expressed by the following equation.

48 ° = tan ^-1 ((10 sin 45 ° + Ix * sin?) / (10 cos 45 ° + Ix * cos?))

= tan ^-1 ((7.07 + Ix * sin?) / (7.07 + Ix * cos?))

For convenience, calculation can be performed using approximate values of cos 30 ° = 0.866, cos 45 ° = 0.707, sin 30 ° = 0.5, and sin 45 ° = 0.707.

&Quot; (3) "

θ = tan ^-1 (((measured value size) * sin (measured value phase) - (previous value size) * sin (previous value phase) Value size) * cos (previous value phase)))

= tan ^-1 ((15sin 48 ° -10sin45 °) / (15cos48 ° -10cos45 °))

= tan ^-1 ((11.145-7.07) / (10.035-7.07))

= tan ^-1 (1.374)

= 54 [deg.]

The following equation can be calculated for the magnitude Ix of the current variation value using the phase shift? Calculated in the above equation.

&Quot; (4) "

Ix = ((measured value size) * cos (measured value phase) - (previous value size) * cos (previous value phase)) / cos?

= (15cos48 DEG -10cos45 DEG) / cos54 DEG

= (10.035-7.07) / 0.588

= + 5

Here, the + sign means the identified device, i.e., the load is added.

The previous value magnitude refers to a previous magnitude value consumed by a plurality of connected devices, and the previous value phase may refer to a previous phase value consumed by a plurality of connected devices. Further, the size of the measurement value is a size value sensed and measured by a new change, which is further increased or decreased by the connected device. The measured phase value is further increased or decreased by the connected device, May refer to a phase value.

Therefore, it can be expressed by the previous value (basic value) I1 = 10∠45 °, the variation value I2 (or Ix) = 5∠54, and the synthesized value It = 15∠48 °. As a result of the calculation, the device having a current magnitude value of 5 and a phase value of 54 ° is added to the deviation value of the device, and a registered eigenvalue is retrieved from the data management table, and an addition value having an approximate value It is possible to easily distinguish the device used as the device. This means that the load on the device with a calculated result size of 5 and a phase of 54 ° is consuming a new addition of power.

Referring to FIG. 8, as another example, a previous value (default value) 810 I1 = 3 ?? 10, a variation value 820, Ix = Ix∠ ??, a previous value 810, and a variation value 820 If the measured value by synthesis (830) It = 1∠5 °, the phase shift can be expressed by the following equation.

&Quot; (5) "

θ = tan ^-1 ((measured value) * sin (measured value phase) - (previous value magnitude) * sin (previous value phase) Size) * cos (previous value phase)))

= tan ^-1 ((1.sin5 - 3.sin10) / (1.cos5-3.cos10))

= 12.5 [deg.]

The following equation can be used to calculate the magnitude of the current variation value using the phase shift? Calculated in the above equation.

&Quot; (6) "

= (1.cos5-3.cos10) / cos12.5

= - 2

Here, the minus sign means the identified device, that is, the load is removed.

Therefore, the previous value (default value) 810 I1 = 3∠10 °, additional used instrument (variation value) 820 I2 (or Ix) = 2∠12.5 °, composite value 830) It = 1∠5 °. In the result value, the removed device has a current magnitude value of 2 and a phase value of 12.5 °. If the device is searched in the data management table, the removed device having an approximate value can be easily distinguished through the above two values. That is, in this case, the load of the device with the size of 2 and the phase of 12.5 ° is removed from the power consumption.

9 is a diagram for explaining managing a moving average of eigenvalues according to an embodiment.

9, the variation of eigenvalues is detected in units of day / month / year, updated to the latest values, the moving average of each eigenvalue is tracked and displayed as a graph, and in some cases, Can be generated.

The variation of at least one eigenvalue among the current, power, standby power, and phase for each device can be tracked and stored through the variation of the power or the current in the measured value, and the mutated eigenvalue can be updated at a constant cycle.

In other words, by tracking and storing the variations of values such as intrinsic current and intrinsic power, intrinsic standby power, and intrinsic phase for each device and recalculating and applying the new intrinsic values at regular intervals, Can be applied.

Furthermore, by calculating the moving average of the variation of the eigenvalue over a certain period of time such as time, day, and month, the lifetime of the device is diagnosed, the eigenvalue is updated using the moving average, The average eigenvalue can be calculated.

&Quot; (7) "

Average eigenvalue = (sum of the eigenvalues measured per cycle) / number of measurement cycles

For example, if you update the eigenvalues daily, you can estimate the daily mean eigenvalues using the following equation: Here, a moving average may be obtained and represented by a moving average graph.

&Quot; (8) "

Daily average eigenvalue = (sum of the eigenvalues measured per hour) / 24

In this way, the moving average of each eigenvalue is measured, stored and calculated by the hourly / daily / monthly moving average to be used as judgment data to diagnose the lifetime of the device, and the eigenvalue is always applied as the latest value using the moving average value, It is possible to improve the accuracy of the identification of the apparatus using the apparatus.

The variation of at least one of the eigenvalues of at least one of the current, power, standby power, and phase of each device is tracked and analyzed to analyze the life span of the device and the possibility of leakage, and the analysis result is reported to the user through the user terminal , Fire caused by old bad equipment, short circuit, and excessive power consumption can be avoided in advance

The variation of the eigenvalues can be expressed by the following equation.

&Quot; (9) "

Variation of eigenvalue (%) = (average eigenvalue / previous average eigenvalue) * 100

Here, the previous average eigenvalue may be calculated and stored as a variation of the eigenvalue. That is, by calculating the variation of the eigenvalues periodically, it is possible to analyze the life span of each device and the possibility of leakage.

Typically, over time, the eigenvalues of current and power tend to increase due to the deterioration of the device. When the variation of the eigenvalue becomes greater than or equal to 100% of the reference value and gradually changes to more than 130%, or vice versa It is possible to send a warning alarm to the user about the lifetime of the device. This value can be changed by setting.

As shown in FIG. 10 and FIG. 11, power consumption can be classified by time period or by device, and can be expressed as a graph of daily, monthly, yearly, and the like.

We measure the power consumption in a specific space such as a home, company, school, etc. using an adaptive smart power measurement device capable of identifying the device, and calculate the power usage information (power, current, phase, standby power) It is possible to identify power-using equipment through tracking

And, it can be connected with a user terminal such as a smart device through wireless communication, and can provide power usage information sorted by device to a user. In addition, it may be connected to the management server through a router to provide the power or usage information classified by the manager or the device.

The power usage information provided here can be classified and analyzed according to a user's need, such as time, date, contract power, etc., and can be provided to a user and an administrator using characters, graphs, tables and the like.

In this way, it is possible to monitor the power usage information in real time by displaying the amount of energy currently being used and displaying information capable of predicting demand. In addition, energy usage information can be identified by identifying the main factors of energy consumption by classifying the energy usage by device and using energy. Moreover, by monitoring the power usage in real time, it is possible to monitor the peak power and notify the user so as to prevent the charge due to the power consumption excess.

12 is a diagram for explaining a data management table according to an embodiment.

12, an intrinsic value such as power, current, phase, and standby power for each device is registered, and a measurement value measured using an adaptive smart power measurement device capable of identifying the device is registered and updated, Can be created. In this case, when the eigenvalues of the devices such as power, current, phase, and standby power are changed, it is also possible to periodically collect and analyze the eigenvalues and update them to the latest values. It is possible to predict the inefficiency and the lifetime of the star.

Even with multiple eigenvalues, the eigenvalues that are changed can be periodically collected and analyzed, and additionally stored and managed, thereby increasing the accuracy of device identification.

13 is a diagram for explaining a big data service by collecting power usage information of a plurality of subscribers according to an embodiment.

Also, as shown in FIG. 13, the management server can collect power information from subscribers through the network, store them as big data, and grasp the power used by each subscriber. As shown in FIG. 13, Can be analyzed to provide a big data service.

Based on this, it is possible to analyze the subdivided areas such as power consumption by region and power consumption by device.

For example, by referring to information collected by the management server or big data, it is possible to set a policy to reduce the use of air conditioners in a specific area by 10%. As another example, referring to the information collected by the air conditioner company on the management server or the big data, it may be possible to establish a marketing strategy based on the area where the air conditioner is used.

In this way, energy usage information can be displayed in real time by classifying the energy use by device, and power consumption information of each device can be confirmed by identifying the main factors of energy consumption.

FIG. 14 is a diagram for explaining an example of an IoT-based energy management system according to an embodiment.

In an IOT-based energy management system, an adaptive smart power measurement device capable of identifying the device can talk with a user terminal through text, SNS, application, and the like. As shown in FIG. 14, an adaptive smart power measurement apparatus capable of identifying a device in an IoT-based energy management system can represent an example of talking between user terminals.

That is, the adaptive smart power measurement device capable of identifying the device reports a change in the power on / off state of the device, an operation state, an abnormal state, and other information to the user terminal, Information about the state of the apparatus can be obtained, as well as power on / off (ON / OFF) and control commands for the operation can be issued. An adaptive smart power measurement device capable of identifying the device according to a user's control command can control power and operation of each device.

The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the apparatus and components described in the illustrative embodiments may be implemented within a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA) such as a programmable logic unit, a microprocessor, or any other device capable of executing and responding to instructions, using one or more general purpose computers or mobile smart phones, special purpose computers. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing apparatus may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded. The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices 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 those 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 devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims

Registering an eigenvalue of a power or current and an eigenvalue of a phase for each of a plurality of devices to be measured;
Collecting measured values of power or current, phase, and power from the plurality of devices;
Sensing a change in the measured value;
Retrieving the registered unique value of power or current matched with a power or current variation value when a change in the measured value is sensed;
Determining one device to be matched according to the search; And
And accumulating and storing the amount of power changed by the power usage amount of the one device identified,
Wherein the step of discriminating the matching device comprises the steps of:
Calculating a phase and discriminating a single device that matches the eigenvalue of the registered phase when a plurality of matching devices are present;
Wherein the step of sensing a change in the measured value comprises:
Calculating the deviation value from the measured value, calculating a magnitude value of the deviation value according to the following equation,
Amplitude = ((measured value size) * cos (measured value phase) - (previous value size) * cos (previous value phase)) / cos?
Here, when the magnitude value is a minus value, it means that the load is removed, and when the magnitude value is +
The phase shift of the variation value is calculated by the following equation,
Phase shift (θ) = tan ^-1 (((measure size) * sin (phase measurement) - (size of the previous value) * sin (previous phase value)) / ((measure size) * cos (phase measurements ) - (previous value size) * cos (previous value phase)))
Here, the previous value magnitude represents a previous magnitude value consumed by the plurality of connected devices, and the previous value phase refers to a previous phase value consumed by the plurality of devices connected in the past, Wherein the measured value magnitude is a magnitude value sensed and measured as a new change by an increase or decrease by the connected device and the measured value phase is further increased or decreased by the connected device to detect and measure a new change And a phase value of the received signal.

Registering an eigenvalue of a power or a current and an eigenvalue of a phase directly connected to a plurality of devices to be measured;
Collecting measured values of power or current, phase, and power from the plurality of devices;
Sensing a change in the measured value;
Retrieving the registered unique value of power or current matched with a power or current variation value when a change in the measured value is sensed;
Determining one device to be matched according to the search;
Accumulating and storing the amount of power changed to the power usage amount of the one device identified to recognize the operation state and calculate the power amount for each device;
Transmitting the determined operation information of the one device to the user terminal using wireless communication, and controlling the operation of the device by receiving a control command from the user terminal; And
Transmitting the power usage information accumulated in units of devices of the plurality of devices to the management server in real time in connection with a user terminal or a router using wireless communication and monitoring the power usage information in real time ,
Wherein the step of discriminating the matching device comprises the steps of:
If there are a plurality of devices to be matched, calculating a phase and discriminating one device that matches the eigenvalue of the registered phase
Wherein the step of discriminating the matching device comprises the steps of:
And accumulating and storing the amount of electric power changed to the amount of other electric power used when there is no matching device,
Wherein the step of registering the eigenvalue comprises:
And registering an eigenvalue of standby power for each of the plurality of devices,
And determining whether the code power source is connected to each of the plurality of devices by determining a change in the standby power from the sensed measured value.

3. The method of claim 2,
Wherein the step of registering the eigenvalue comprises:
And registering an eigenvalue of the standby power for each of the plurality of devices, and determining whether the code power source is connected to each of the plurality of devices by determining a change in the standby power from the sensed measured value, In order to simplify the registration of the eigenvalue of the device to be newly registered, the measured power or current in a state in which the power consumption of the plurality of devices connected in advance is kept unchanged, the measured values of phase, Calculates the difference between the measured power or current and the eigenvalues of the phase, and performs a registration command through a button or an instruction to automatically register the measured value of the device to be registered, And stores said unique value as said eigenvalue of said device. SMART power measurement method.

3. The method of claim 2,
The step of discriminating one device to be matched according to the search,
A data management table is formed using the eigenvalue, the measurement value, and the accumulated power amount, and the device is identified by searching the data management table to update the measured value and the accumulated power amount,
Wherein the step of registering the eigenvalue comprises:
When the at least one device has a plurality of eigenvalues according to the operation mode, registers the plurality of eigenvalues according to the operation mode in the data management table, and compares the plurality of eigenvalues from the sensed measured values And determining a device to be used by the device.

3. The method of claim 2,
Wherein the step of controlling the operation of the device by receiving a control command from the user terminal comprises:
And transmits the determined operation information of the one device to the user terminal using wireless communication, controls the operation of the device by receiving a control command from the user terminal, Service, or application, using at least one of them
The method comprising the steps < RTI ID = 0.0 > of: < / RTI >

A register connected directly to a plurality of devices to be measured and registering an eigenvalue of the power or current and an eigenvalue of the phase, respectively;
A collecting unit for collecting measured values of power, current, phase, and power measured from the plurality of devices measured from the plurality of devices;
A sensing unit for sensing a change in the measured value;
A search unit for searching for the registered eigenvalues of the electric power or electric current matching the variation value by the electric power or the electric current and discriminating the matching device when the variation of the measured value is sensed;
A storage unit for accumulating and storing the amount of power changed by the power usage amount of the identified device; And
And transmits the operation information of one device identified to calculate the power amount to the user terminal by using wireless communication, recognizes the operation state for each device, and transmits the accumulated power usage amount for each device to the wireless communication device And a wireless communication unit connected to a user terminal or a router to transmit power usage information to the management server in real time and monitor the power usage information in real time,
The search unit may search,
And calculating a phase when the plurality of devices are matched to determine one device to be matched with the eigenvalue of the registered phase.

The method according to claim 6,
Wherein the registration unit comprises:
Wherein the control unit registers an eigenvalue of standby power for each of the plurality of devices and determines whether the code power source is connected to each of the plurality of devices by determining a change of the standby power from the sensed measured value,
The search unit may search,
If there is no matching device, it is classified as a separate power device,
Wherein,
When the power is classified as the separate power device,
A data management table is formed by using the eigenvalue, the measured value, and the accumulated power amount, the searching unit identifies a matching device by referring to the data management table, and updates the measured value and the accumulated power amount An adaptive smart power measurement device capable of identifying the device.

delete

The method according to claim 6,
Tracking and storing a variation of at least one eigenvalue among the current, the power, the standby power, and the phase of each device of the plurality of devices through the variation value, updating the changed eigenvalue at a constant cycle,
And the eigenvalue is updated by using the moving average, and when the eigenvalue is updated, an average value of the eigenvalues is calculated using the following equation Estimating the eigenvalues,
Average eigenvalue = (sum of the eigenvalues measured per cycle) / number of measurement cycles
Adaptive smart power measurement device with device identification.

10. The method of claim 9,
And tracking and analyzing a variation of at least one eigenvalue of at least one of current, power, standby power, and phase of each of the plurality of devices to analyze the service life span and the leakage current for each device,
The variation of the eigenvalues is represented by the following equation,
Variation of eigenvalue (%) = (average eigenvalue / previous average eigenvalue) * 100
Wherein the previous average eigenvalue is a variation of eigenvalues calculated and stored.

A register for registering an eigenvalue of a power or current and an eigenvalue of a phase for each of a plurality of devices to be measured;
A collector for collecting measured values of power or current, phase, and power measured from the plurality of devices;
A sensing unit for sensing a change in the measured value;
A search unit for searching for the registered eigenvalues of the electric power or electric current matching the variation value by the electric power or the electric current and discriminating the matching device when the variation of the measured value is sensed; And
And a storage unit for accumulating and storing the amount of power changed by the power usage amount of the identified device,
The search unit may search,
Calculating a phase when there are a plurality of devices to be matched to determine one device that matches the eigenvalue of the registered phase,
The sensing unit includes:
And a phase sensing unit for sensing the phase shift of the variation value, wherein the phase sensing unit comprises:
Wherein the size detector calculates a magnitude value of the deviation value according to the following equation,
Amplitude = ((measured value size) * cos (measured value phase) - (previous value size) * cos (previous value phase)) / cos?
Here, when the magnitude value is a minus value, it means that the load is removed, and when the magnitude value is +
Wherein the phase detection unit calculates the phase shift of the shift value by the following equation,
Phase shift (θ) = tan ^-1 (((measure size) * sin (phase measurement) - (size of the previous value) * sin (previous phase value)) / ((measure size) * cos (phase measurements ) - (previous value size) * cos (previous value phase)))
Here, the previous value magnitude represents a previous magnitude value consumed by the plurality of connected devices, and the previous value phase refers to a previous phase value consumed by the plurality of devices connected in the past, Wherein the measured value magnitude is a magnitude value sensed and measured as a new change by an increase or decrease by the connected device and the measured value phase is further increased or decreased by the connected device to detect and measure a new change And a phase value of the power consumption of the device.