Monitoring device, monitoring system, monitoring method, and non-transitory storage medium

Patent metadata

Field	Value
Publication number	US-10401403-B2
Application number	US-201515300512-A
Country	US
Kind code	B2
Filing date	Jan 23, 2015
Priority date	Mar 31, 2014
Publication date	Sep 3, 2019
Grant date	Sep 3, 2019

Abstract

A monitoring device ( 10 ) includes a unit-specific waveform data acquisition unit ( 11 ) that acquires waveform data in a unit in which electrical devices are installed; a first inference unit ( 13 ) that infers change in operation states of at least some of the electrical devices based on a first monitoring difference group including at least one of at least one kind of feature amount extracted from waveform data of a difference between waveform data of a first timing and waveform data of a second timing in the waveform data, and a differences of at least one kind of feature amounts extracted from the waveform data of the first timing and the waveform data of the second timing, and training difference information regarding a difference between a first operation state and a second operation state of each of the electrical devices; and a second inference unit ( 14 ) that infers an operation state of each of the electrical devices based on an inference result of the first inference unit ( 13 ).

First claim

The invention claimed is:

1. A monitoring device comprising:
a unit-specific waveform data acquisition unit, implemented by a processor, that acquires unit-specific monitoring waveform data which is waveform data of at least one among total current consumption, a total input voltage, and total power consumption in a unit in which monitoring target electrical devices are installed;
a first inference unit, implemented by the processor, that infers change in operation states of at least some of the monitoring target electrical devices based on a first monitoring difference group including at least one of at least one kind of feature amount extracted from waveform data of a difference between waveform data of a first timing and waveform data of a second timing in the unit-specific monitoring waveform data, and at least one kind of difference in feature amounts extracted from the waveform data of the first timing and the waveform data of the second timing, and training difference information regarding a difference between a first operation state and a second operation state of each of the monitoring target electrical devices; and
a second inference unit, implemented by the processor, that infers an operation state of each of the monitoring target electrical devices based on an inference result of the first inference unit.

2. The monitoring device according to claim 1 , further comprising:
a storage unit that stores the training difference information which is at least one among
waveform data of a difference between waveform data of at least one among current consumption, an input voltage, and power consumption in the first operation state and the waveform data in the second operation state,
at least one kind of feature amount extracted from the waveform data of the difference, and
at least one kind of difference in feature amounts extracted from the waveform data in the first operation state and the waveform data in the second operation state,

in association with each of the monitoring target electrical devices.

3. The monitoring device according to claim 2 ,
wherein the storage unit stores at least one of device-specific training waveform data which is waveform data of at least one among the current consumption, the input voltage, and the power consumption, and a training feature amount in a predetermined operation state extracted from the device-specific training waveform data, in association with each of the monitoring target electrical devices, and
wherein the second inference unit infers the operation states of at least some of the monitoring target electrical devices inferred as having no change in the operation states by the first inference unit based on a feature amount extracted from the unit-specific monitoring waveform data, and the training feature amount extracted from the device-specific training waveform data.

4. The monitoring device according to claim 1 , further comprising:
a third inference unit, implemented by the processor, that infers change in operation states of at least some of the monitoring target electrical devices based on
a second monitoring difference group which is different from the first monitoring difference group and includes at least one of at least one kind of feature amount extracted from the waveform data of the difference between the waveform data of the first timing and the waveform data of the second timing in the unit-specific monitoring waveform data, and at least one kind of difference in feature amounts extracted from the waveform data of the first timing and the waveform data of the second timing, and
the training difference information.

5. The monitoring device according to claim 4 ,
wherein the first inference unit infers change in power states of at least some monitoring target electrical devices among the monitoring target electrical devices between a power-on state and a power-off state, and
wherein the third inference unit infers change in a power state between the power-on state and the power-off state or change in power consumption of each of at least some of the monitoring target electrical devices, excluding the monitoring target electrical devices of which the change in the power states is inferred by the first inference unit.

6. The monitoring device according to claim 4 ,
wherein the first inference unit infers change in power consumption of each of some of the monitoring target electrical devices, and
wherein the third inference unit infers change in a power state between the power-on state and the power-off state or change in power consumption of each of at least some of the monitoring target electrical devices, excluding the monitoring target electrical devices of which the change in the power consumption is inferred by the first inference unit.

7. The monitoring device according to claim 4 ,
wherein the second inference unit retains management information indicating an operation state of each of the monitoring target electrical devices at a predetermined timing and updates the management information based on the change in the operation states of the monitoring target electrical devices inferred by the first inference unit after the predetermined timing, and
wherein the second inference unit further updates the management information based on the change in the operation states of the monitoring target electrical devices inferred by the third inference unit after the predetermined timing.

8. The monitoring device according to claim 1 ,
wherein the second inference unit retains management information indicating an operation state of each of the monitoring target electrical devices at a predetermined timing and updates the management information based on the change in the operation states of the monitoring target electrical devices inferred by the first inference unit after the predetermined timing.

9. The monitoring device according to claim 1 , further comprising:
an output unit that outputs an inference result.

10. A non-transitory storage medium storing a program causing a computer to function as:
a unit-specific waveform data acquisition unit, implemented by a processor, that acquires unit-specific monitoring waveform data which is waveform data of at least one among total current consumption, a total input voltage, and total power consumption in a unit in which monitoring target electrical devices are installed;
a first inference unit, implemented by the processor, that infers change in operation states of at least some of the monitoring target electrical devices based on
a first monitoring difference group including at least one among at least one kind of feature amount extracted from waveform data of a difference between waveform data of a first timing and waveform data of a second timing in the unit-specific monitoring waveform data, and at least one kind of difference in feature amounts extracted from the waveform data of the first timing and the waveform data of the second timing, and
training difference information regarding a difference between a first operation state and a second operation state of each of the monitoring target electrical devices; and

a second inference unit, implemented by the processor, that infers an operation state of each of the monitoring target electrical devices based on an inference result of the first inference unit.

11. A monitoring method performed by a computer, the method comprising:
a unit-specific waveform data acquisition step of acquiring unit-specific monitoring waveform data which is waveform data of at least one among total current consumption, a total input voltage, and total power consumption in a unit in which monitoring target electrical devices are instal

Assignees

• Nec Corp

Inventors

• Saneyoshi Eisuke
• Kudo Koji
• Hashimoto Ryo
• Homma Kosuke
• TOIZUMI Takahiro

Classifications

• G01R21/133 Primary

  by using digital technique · CPC title

• G01R21/06

  by measuring current and voltage (G01R21/08 - G01R21/133 take precedence) · CPC title