JP5904741B2 - Condition diagnosis apparatus, condition diagnosis system and program - Google Patents

Description

  The present invention relates to a state diagnosis device, a state diagnosis system, and a program.

  Conventionally, various techniques for estimating the operating status of an electrical device connected to a power supply line based on a current waveform in the power supply line have been disclosed.

  For example, the technique described in Patent Document 1 compares, for each electrical device, the feature amount of the current waveform when only the electrical device is operating with the feature amount of the current waveform in the power supply line, whereby the electrical device Estimate the operating status of

JP 2011-17474 A

  However, when an electrical device is started up or its operation mode changes, the current waveform may become unique due to a transient phenomenon. For this reason, if the operation state of an electrical device is estimated based on the current waveform in a transient state by the technique described in Patent Document 1, the accuracy of the estimation may be reduced.

  The present invention has been made in view of such circumstances, and an object of the present invention is to provide a state diagnosis device that makes it possible to accurately estimate the operating state of an electrical device.

The state diagnosis apparatus according to the present invention
A current sensor that measures a current value in a power supply line that supplies electric power to an electric device at a predetermined sampling period;
Trigger signal output means for outputting a trigger signal when the current or voltage in the power supply line changes across a predetermined threshold corresponding to the current or voltage;
Current waveform acquisition means for acquiring the trigger signal, and acquiring current waveform data representing a change over time in a feature value of a current value measured by the current sensor in a predetermined sampling period after acquiring the trigger signal;
When current waveform data of X (X is a natural number) or more is acquired by the current waveform acquisition means, average waveform calculation means for generating average waveform data by averaging the X current waveform data; and
When Y (Y is a natural number) average waveform data is generated by the average waveform calculation means, the average waveform variability indicating the variability of the value of each corresponding sampling time is calculated for the Y average waveform data. First fluctuation degree calculating means for calculating;
When Y average waveform data is generated by the average waveform calculation means, the X × Y current waveform data from which the Y average waveform data is generated is a value corresponding to each sampling period. Second fluctuation degree calculating means for calculating the fluctuation degree of the current waveform representing the fluctuation degree of
The average waveform variability at each sampling period is compared with a predetermined ratio of the current waveform variability, and as a result of comparison, the average waveform variability at the sampling period equal to or greater than a predetermined ratio is It is characterized by comprising steady state discriminating means for discriminating that the current in the power supply line is in a steady state when the fluctuation rate is smaller than a predetermined ratio.

  According to the present invention, it is determined whether or not the current in the feeder line is in a steady state. Therefore, it is possible to acquire current waveform data in a steady state on the feeder line. Therefore, it is possible to improve the accuracy of estimating the operating status of the electrical equipment.

1 is a diagram illustrating a configuration of a state diagnosis system according to Embodiment 1. FIG. It is a figure which shows the structure of the state diagnostic apparatus which concerns on Embodiment 1. FIG. It is a figure which shows the example of regular data. It is a figure which shows the structure of the terminal device which concerns on Embodiment 1. FIG. 4 is a flowchart illustrating a flow of state diagnosis processing executed by the state diagnosis apparatus according to the first embodiment. 6 is a flowchart showing details of a current waveform acquisition process included in the state diagnosis process shown in FIG. 5. It is a flowchart which shows the flow of the notification process which a terminal device performs. It is a figure which shows the structure of the state diagnostic apparatus which concerns on one modification of Embodiment 1. FIG. It is a figure which shows the structure of the state diagnostic apparatus which concerns on Embodiment 2. FIG. It is a figure which shows the example of 1st steady data. It is a figure which shows the example of 2nd steady data. It is a figure which shows the example of 3rd regular data. It is a figure which shows the example of 4th regular data. It is a figure which shows the example of 5th regular data. It is a figure which shows the example of 6th steady data. It is a figure which shows the example of 7th regular data. It is a figure which shows the example of 8th regular data. It is a figure which shows the example of 9th regular data. 6 is a flowchart illustrating a flow of state diagnosis processing executed by the state diagnosis apparatus according to the second embodiment. It is a flowchart which shows the detail of the power supply conversion process contained in the state diagnostic process shown in FIG.

  Embodiments of the present invention will be described with reference to the drawings. Throughout the drawings, the same elements are denoted by the same reference numerals, and redundant description is omitted.

Embodiment 1. FIG.
The state diagnosis system according to the first embodiment of the present invention is a system that diagnoses the state of current in the power supply line and notifies the user of the result of the diagnosis. As shown in FIG. 1, the state diagnosis system 1 includes a state diagnosis device 3 provided on a distribution board 2 of a consumer and a terminal device 4 that performs wireless communication with the state diagnosis device 3. The state diagnosis device 3 and the terminal device 4 may be communicably connected via a wired communication line.

  The distribution board 2 generally includes a breaker or the like (not shown), and is interposed in the feeder line 5. The power supply line 5 is a wiring that supplies power from the commercial power supply 6 to the outlet 7 of the customer. The electric device 8 is connected to the power supply line 5 via an outlet 7 provided in a customer's house or the like. The power supply line 5 may supply power from a distributed power source such as a solar power generation or a fuel cell in addition to or instead of the commercial power source 6.

  The state diagnosis device 3 is a device that diagnoses the state of current in the power supply line 5. As shown in FIG. 2, the state diagnosis device 3 includes a PT (potential transformer) sensor 9 and a CT (current transformer) sensor 10, a commercial frequency voltage extraction circuit 11, and a harmonic current extraction circuit connected to the power supply line 5. 12, a transmission unit 13, a storage unit 14, and a CPU (Central Processing Unit) 15.

  The PT sensor 9 is a sensor that measures the voltage value of the power supply line 5 at a constant sampling period and outputs a voltage signal indicating the voltage value measured at each sampling time. The CT sensor 10 is a sensor that measures the current value of the power supply line 5 at a constant sampling period and outputs a current signal indicating the current value measured at each sampling time. The sampling periods of the PT sensor 9 and the CT sensor 10 are synchronized.

  The commercial frequency voltage extraction circuit 11 is an electric circuit that acquires a voltage signal output from the PT sensor 9, extracts a specific frequency component from the voltage signal, and outputs the specific frequency component. The specific frequency is, for example, a commercial power supply frequency or a frequency in the vicinity thereof.

  The harmonic current extraction circuit 12 is an electric circuit that acquires a current signal output from the CT sensor 10 and extracts and outputs a harmonic component having a predetermined frequency from the current signal. The harmonics of the current are included in the current flowing through the feeder line 5 when the electric device 8 is operating.

  The transmission unit 13 transmits notification data including the result of diagnosis by the state diagnosis device 3 to the terminal device 4. The transmission unit 13 includes, for example, an antenna, an electric circuit that generates a signal including notification data and transmits the signal through the antenna.

  The storage unit 14 stores various data such as data generated by the CPU 15 during processing and steady data 16, and reads the stored data as required. The storage unit 14 includes, for example, a RAM (Random Access Memory), a flash memory, and the like, and a storage control unit that stores data in or reads data from them. The storage unit 14 may include an external HDD (Hard Disc Drive) or the like.

  The steady data 16 stored in the storage unit 14 is data indicating the characteristics of the current waveform in the steady state of the feeder line 5. As shown in FIG. 3, the steady data 16 includes average waveform data 17, maximum average waveform data 18, and minimum average waveform data 19. Details of these data 17 to 19 will be described later.

  The CPU 15 is composed of one or more processors that execute processing for diagnosing the state of current in the power supply line 5. As shown in FIG. 2, the CPU 15 functionally includes a trigger determination unit 21, a current waveform acquisition unit 22, a total waveform calculation unit 23, an average waveform calculation unit 24, a maximum / minimum average waveform generation unit 25, The maximum / minimum current waveform generation unit 26, the average waveform variation calculation unit 27, the current waveform variation calculation unit 28, the steady state determination unit 29, the change determination unit 30, and the steady data output unit 31. Prepare.

  The trigger determination unit 21 serving as the trigger signal output means determines whether or not the voltage indicated by the voltage signal output from the commercial frequency voltage extraction circuit 11 has changed in a certain direction across a predetermined threshold (0 in the present embodiment). If it is determined that the change has occurred, a trigger signal is output immediately. When the voltage changes in a certain direction across 0, the voltage changes from negative to positive. Note that the voltage changing in a certain direction across 0 may be that the voltage changes from positive to negative.

When acquiring the trigger signal output from the trigger determination unit 21, the current waveform acquisition unit 22 acquires the current signal output from the harmonic current extraction circuit 12 in the sampling period T [seconds] immediately after that. The current waveform acquisition unit 22 repeats such acquisition of the current signal X × Y times. Thus, the current waveform acquisition unit 22 generates X × Y current waveform data representing the current waveforms I _{i, j} . X and Y are natural numbers determined in advance.

The current waveform I _{i, j} is the magnitude of the harmonic component contained in the current flowing through the feeder line 5 during the sampling period T [seconds] from the time when the trigger signal is acquired (the characteristic value of the current value measured by the CT sensor 10, Hereinafter, it is a waveform representing a change over time in current characteristic amount. Note that i is a natural number satisfying 1 ≦ i ≦ X, and j is a natural number satisfying 1 ≦ j ≦ Y.

Here, the sampling period T is, for example, one cycle of AC power supplied from the commercial power supply 6. Assume that the number of times of sampling of the CT sensor 10 in the sampling period T is N, for example, the frequency of the commercial power supply is 50 [Hz] (that is, the sampling period T = 0.02 seconds), and the sampling period 1 / (N × T) is 20 [ kHz]. In this case, one current waveform I _{i, j} is represented by 400 (= N) elements representing the current feature amount at each sampling period after the trigger signal is acquired.

The total waveform calculation unit 23 generates Y total waveform data representing the total waveform S _j based on the X × Y current waveform data generated by the current waveform acquisition unit 22.

The total waveform S _j is X current waveforms I _{i, j} (1 ≦ 1) continuously generated by the current waveform acquisition unit 22 among the current waveforms I _{i, j} indicated by the X × Y current waveform data. This is a waveform obtained by adding i ≦ X). That is, the total waveform S _j is a waveform that represents a change over time in the total current obtained by adding the current feature amounts included in the X current waveforms I _{i, j} (1 ≦ i ≦ X) at each corresponding sampling time. .

The average waveform calculating unit 24 generates Y average waveform data representing the average waveform A _j based on the Y total waveform data generated by the total waveform calculating unit 23.

The average waveform A _j is an X current waveform I _{i, j} (1 ≦ 1) continuously generated by the current waveform acquisition unit 22 among the current waveforms I _{i, j} represented by the X × Y current waveform data. i ≦ X) is a waveform obtained by averaging. That is, the average waveform A _j is a waveform representing a change with time of the average current obtained by dividing the total current included in the total waveform S _j by X.

  The maximum / minimum average waveform generation unit 25 generates maximum average waveform data representing the maximum average waveform AMAX and minimum average waveform data representing the minimum average waveform AMIN based on the average waveform data generated by the average waveform calculation unit 24. To do.

  The maximum average waveform AMAX is a waveform representing the change over time of the maximum value of the average current included in the Y average waveform data for each corresponding sampling time. The minimum average waveform AMIN is a waveform representing the change over time of the minimum value of the average current included in the Y average waveform data for each corresponding sampling time.

  The maximum / minimum current waveform generation unit 26, based on the X × Y current waveform data generated by the current waveform acquisition unit 22, is the maximum current waveform data representing the maximum current waveform IMAX and the minimum current representing the minimum current waveform IMIN. Generate waveform data.

  The maximum current waveform IMAX is a waveform that represents the change over time of the maximum value of the current feature amount included in the X × Y current waveform data for each corresponding sampling time. The minimum current waveform IMIN is a waveform that represents the change over time of the minimum value of the current feature amount included in the X × Y current waveform data for each corresponding sampling time.

  The average waveform variability calculator 27 calculates the average waveform variability VA based on the Y average waveform data generated by the average waveform calculator 24, and calculates the average waveform variability data representing the calculated result. Generate.

  The average waveform variability VA is a set of indices indicating the degree to which the average current of each corresponding sampling period varies with respect to the average current included in the Y average waveform data. Specifically, for example, the average waveform variability VA is a difference between the maximum average waveform AMAX and the minimum average waveform AMIN. That is, each element of the variation VA of the average waveform is a difference between the maximum value of the average current and the minimum value of the average current at each corresponding sampling time.

  The current waveform variability calculator 28 calculates the current waveform variability VI based on the X × Y current waveform data generated by the current waveform acquirer 22, and the current waveform variability representing the calculated result. Generate data.

  The variation degree VI of the current waveform is a set of indices indicating the degree of variation of the current feature amount at each corresponding sampling time with respect to the current feature amount included in the X × Y current waveform data. Specifically, for example, the degree of fluctuation VI of the current waveform is a difference between the maximum current waveform IMAX and the minimum current waveform IMIN. That is, each element of the current waveform variation VI is a difference between the maximum value of the current feature value and the minimum value of the current feature value at each corresponding sampling time.

  The steady state determination unit 29 obtains the average waveform fluctuation data and the current waveform fluctuation data, and obtains a predetermined ratio between the average waveform fluctuation current and the current waveform fluctuation degree (for example, 1 for the current waveform fluctuation degree). / Value multiplied by / X). As a result of the comparison, the steady state determination unit 29 determines that it is in the steady state when the sampling timing in which the variation degree of the average waveform is smaller than 1 / X of the variation degree of the current waveform is equal to or greater than a predetermined ratio. Further, as a result of comparison, when the sampling timing in which the variation degree of the average waveform is smaller than 1 / X of the fluctuation degree of the current waveform is less than a predetermined ratio, the steady state determination unit 29 is in an unsteady state (steady state) Not).

  When it is determined that the steady state determination unit 29 is in the steady state, the change determination unit 30 is based on the average waveform data, the maximum average waveform data 18, and the minimum average waveform data 19, and the change of the electrical device 8. Determine presence or absence.

  Here, the average waveform data for the change determination unit 30 to determine is the basis of the current determination by the steady state determination unit 29. The maximum average waveform data 18 and the minimum average waveform data 19 for determination by the change determination unit 30 are included in the steady data 16 stored in the storage unit 14. That is, the maximum average waveform data 18 here is the maximum average waveform data 18 when the steady state determination unit 29 determines that it is in the previous (or before) steady state. Is the same.

  The change in the electric device 8 is a change in the operating state of the electric device 8 and includes, for example, that the electric device 8 is activated or stopped, and that the operation mode of the electric device 8 is changed. The operation mode includes, for example, operation at 1200 W, operation at 500 W, and the like when the electric apparatus 8 is a microwave oven.

  The steady data output unit 31 outputs the steady data 16 to the storage unit 14 when the change determining unit 30 determines that there is a change. As a result, the steady data 16 is stored in the storage unit 14. The steady data 16 output from the steady data output unit 31 includes the average waveform data based on which the steady state determination unit 29 determines that the steady state is present, the maximum average waveform data generated from the average waveform data, and the minimum Average waveform data.

  The functions of the CPU 15 described so far may be realized as functions of the processor itself, may be realized as functions exhibited by the processor by executing a software program, or may be realized by a combination thereof. . Further, the functions provided by the CPU 15 described so far may be realized by installing and executing a software program in a computer. In this case, the storage unit 14 is provided by an HDD (Hard Disc Drive) provided in the computer. It may be realized. When the processor or computer executes a software program, the software program is stored in the storage unit 14, for example. Such a software program may be distributed by a storage medium or may be distributed via the Internet or the like.

  The terminal device 4 receives notification data from the state diagnosis device 3, and notifies the user of the result of diagnosis by the state diagnosis device 3 through the display lamps 41a and 41b and the speaker 42 (see FIG. 1). It is desirable that the terminal device 4 is of a size that can be carried by the user in order to facilitate the operation of the electric device 8 described later by the user. As shown in FIG. 4, the terminal device 4 includes a reception unit 43, a notification determination unit 44, a notification control unit 45, display lamps 41 a and 41 b, and a speaker 42 (notification unit).

  The reception unit 43 receives the notification data transmitted from the transmission unit 13 of the state diagnosis device 3. The receiving unit 43 includes, for example, an antenna and an electric circuit that extracts notification data from data received by the antenna.

  The notification determination unit 44 acquires notification data from the reception unit 43 and determines a diagnosis result included in the notification data. The result of the diagnosis includes, for example, being in an unsteady state, no change in the electrical device 8, or outputting steady data.

  The notification control unit 45 controls the display lamps 41 a and 41 b and the speaker 42 according to the result determined by the notification determination unit 44. The display lamps 41a and 41b notify the user by light, and the speaker 42 notifies the user by sound.

  From here, the process which the state diagnostic system 1 performs is demonstrated.

  For example, when the power is turned on, the state diagnosis device 3 starts the state diagnosis process shown in FIG. The user operates the electric device 8 in a specific operation mode (for example, 1200 W if the electric device 8 is a microwave oven). When an electric device other than the electric device 8 is connected to the power supply line 5, the user stops the operation of the electric device other than the electric device 8.

  As shown in FIG. 5, the state diagnosis apparatus 3 repeats a loop A (step S102), an average waveform calculation process (step S106), and a maximum / minimum average waveform update process (S107) described below Y times (loop). B; Step S101).

  In the loop A (step S102), the state diagnosis apparatus 3 repeats the current waveform acquisition process (step S103) and the maximum / minimum current waveform update process (step S105) described below X times.

  In the current waveform acquisition process (step S103), as shown in FIG. 6, the trigger determination unit 21 acquires a voltage signal indicating the voltage measured by the PT sensor 9 via the commercial frequency voltage extraction circuit 11 (step S121). ). The trigger determination unit 21 determines whether the voltage of the commercial frequency component in the feeder line 5 has changed from negative to positive based on the acquired voltage signal (step S122). If it is determined that it has not changed from negative to positive (step S122; No), the trigger determination unit 21 repeats the voltage signal acquisition process (step S121) and the trigger determination process (step S122).

  If it is determined that it has changed from negative to positive (step S122; Yes), the trigger determination unit 21 immediately outputs a trigger signal. The current waveform acquisition unit 22 acquires a trigger signal from the trigger determination unit 21. The current waveform acquisition unit 22 that has acquired the trigger signal outputs a current signal indicating the current measured by the PT sensor 9 via the harmonic current extraction circuit 12 during the sampling period T [seconds] immediately after acquiring the trigger signal. Obtain (step S123). The current waveform acquisition unit 22 that has acquired the current signal of the sampling period T [seconds] generates current waveform data including the current feature amount at each sampling time represented by the current signal (step S124). The current waveform acquisition unit 22 stores the generated current waveform data in the storage unit 14 (step S125).

When the loop B (step S101) is the j-th time and the loop A (step S102) is the i-th time, the current waveform I _{i, j} represented by the current waveform data generated by the current waveform acquisition unit 22 is expressed by equation (1). It is represented by

Here, I _{i, j} (t) represents a current feature amount at the sampling time t. Note that t is a natural number that satisfies 1 ≦ t ≦ N.

As described above, the current waveform data is constituted by a current signal acquired in one cycle T [S] of the commercial power supply 6 from when the voltage of the commercial frequency component changes from negative to positive. Therefore, it is possible to collect the current waveform I _{i, j} corresponding to one cycle of the commercial power supply 6 by executing the current waveform acquisition process (step S103).

  The total waveform calculation unit 23 acquires current waveform data from the current waveform acquisition unit 22. Then, the total waveform calculation unit 23 adds the current feature amount included in the acquired current waveform data to the total current of the total waveform data stored in the storage unit 14 for each corresponding sampling time (step S104). . The total waveform calculation unit 23 causes the storage unit 14 to store total waveform data including the total current of the added sampling periods. Thereby, the total waveform data in the storage unit 14 is obtained by adding the current waveform data at each sampling time.

  The maximum / minimum current waveform generation unit 26 acquires current waveform data from the current waveform acquisition unit 22. The maximum / minimum current waveform generation unit 26 updates the maximum current waveform data and the minimum current waveform data stored in the storage unit 14 based on the acquired current waveform data (step S105).

  Specifically, the maximum / minimum current waveform generation unit 26 indicates the values indicated by the maximum current waveform data and the minimum current waveform data stored in the storage unit 14 for each corresponding sampling time, and the acquired current waveform data. Is compared with the value indicated by. For a sampling period in which the value of the current waveform data is greater than the value of the maximum current waveform data, the maximum / minimum current waveform generation unit 26 replaces the value of the maximum current waveform data at that sampling period with the value of the current waveform data. Generate waveform data. For the sampling time when the current waveform data value is smaller than the minimum current waveform data value, the maximum / minimum current waveform generator 26 replaces the value of the minimum current waveform data at that sampling time with the value of the current waveform data. Generate minimum current waveform data. The maximum / minimum current waveform generation unit 26 updates the maximum current waveform data and the minimum current waveform data in the storage unit 14 with the generated maximum current waveform data and minimum current waveform data.

  Loop A (step S102) is completed by repeating the current waveform acquisition process (step S103) described so far to the maximum / minimum current waveform update process (step S105) X times.

When the loop A (step S102) is executed once, the total waveform calculation unit 23 acquires X current waveform data from the current waveform acquisition unit 22. Further, the total waveform S _j represented by the total waveform data is expressed by Expression (2) when the loop B (step S101) is the jth time.

When the loop A (step S102) ends, the average waveform calculation unit 24 acquires the total waveform data from the storage unit 14, and then clears the total waveform data in the storage unit 14. The average waveform calculation unit 24 calculates the average waveform A _j by dividing the total current of each sampling period included in the total waveform data by X, and generates average waveform data (step S106).

The average waveform A _j represented by the average waveform data generated by executing the average waveform calculation process (step S106) is expressed by equation (3) when the loop B (step S101) is the jth time.

  The maximum / minimum average waveform generation unit 25 acquires average waveform data from the average waveform calculation unit 24. Then, the maximum / minimum average waveform generation unit 25 updates the maximum average waveform data and the minimum average waveform data stored in the storage unit 14 based on the acquired average waveform data (step S107).

  Specifically, the maximum / minimum average waveform generation unit 25, for each corresponding sampling time, the value indicated by each of the maximum average waveform data and the minimum average waveform data stored in the storage unit 14, and the acquired average waveform data Is compared with the value indicated by. For a sampling period in which the average waveform data value is greater than the maximum average waveform data value, the maximum / minimum average waveform generating unit 25 replaces the maximum average waveform data value of the sampling period with the average waveform data value. Generate waveform data. For the sampling time when the average waveform data value is smaller than the minimum average waveform data value, the maximum / minimum average waveform generation unit 25 replaces the value of the minimum average waveform data at the sampling time with the value of the average waveform data. Generate minimum average waveform data. The maximum / minimum average waveform generation unit 25 updates the maximum average waveform data and the minimum average waveform data in the storage unit 14 with the generated maximum average waveform data and minimum average waveform data.

  Loop B (step S101) is completed by repeating the loop A (step S102), the average waveform calculation process (step S106), and the maximum / minimum average waveform update process (S107) described above Y times.

By the processing so far, X × Y pieces of current waveform data are generated by the current waveform acquisition unit 22. Further, the maximum current waveform IMAX represented by the maximum current waveform data generated by the maximum / minimum current waveform generation unit 26 based on the X × Y current waveforms I _{i, j} is expressed by Expression (4).

  Here, MAX represents the maximum value of the elements in the subsequent [].

Further, the minimum current waveform IMIN represented by the minimum current waveform data generated by the maximum / minimum current waveform generation unit 26 based on the X × Y current waveforms I _{i, j} is expressed by Expression (5).

  Here, MIN represents the minimum value of the subsequent element in [].

Moreover, the average waveform calculation part 24 produces | generates Y average waveform data by the process so far. Maximum average waveform AMAX representing the maximum average waveform data generated by the maximum / minimum mean waveform generating unit 25 on the basis of the Y-number of the averaged waveform A _j is represented by the formula (6).

The minimum average waveform AMIN indicating the minimum average waveform data generated by the maximum / minimum mean waveform generating unit 25 on the basis of the Y-number of the averaged waveform A _j is represented by the formula (7).

  Subsequently, the average waveform variation calculation unit 27 acquires the maximum average waveform data and the minimum average waveform data from the storage unit 14, and the average waveform variation based on the acquired maximum average waveform data and minimum average waveform data. The degree VA is calculated, and the fluctuation data of the average waveform is generated. The current waveform variation calculation unit 28 acquires the maximum current waveform data and the minimum current waveform data from the storage unit 14, and based on the acquired maximum current waveform data and minimum current waveform data, the current waveform variation degree VI is calculated, and current waveform fluctuation data is generated (step S108).

  Here, the average waveform variation VA calculated by the average waveform variation calculation unit 27 is expressed by Expression (8).

  Further, the current waveform variation VI calculated by the current waveform variation calculation unit 28 is expressed by Equation (9).

  The steady state determination unit 29 acquires average waveform variation data from the average waveform variation calculation unit 27, and acquires current waveform variation data from the current waveform variation calculation unit 28. The steady state determination unit 29 compares the average waveform variation VA of the acquired average waveform variation data with 1 / X of the current waveform variation VI of the acquired current waveform variation data. Based on the comparison result, the steady state determination unit 29 determines whether or not the steady state is reached (step S109).

  Specifically, the steady state determination unit 29 determines that the steady state is in the steady state when the sampling timing of the average waveform variation VA is less than 1 / X of the current waveform variation VI is greater than or equal to a predetermined ratio ( Step S109; Yes). Further, when the sampling timing less than 1 / X of the current waveform variation VI is less than a predetermined ratio, the steady state determination unit 29 determines that the average waveform variation VA is in an unsteady state (step). S109; No).

  In general, when the main noise included in the current waveform is white noise, the average current waveform variability VA is reduced to about 1 / X of the current waveform variability VI by averaging the X current waveforms. Become. Therefore, when the sampling time less than 1 / X of the current waveform variation VI is equal to or greater than a predetermined ratio, it can be estimated that the main noise included in the average current waveform is white noise. .

  In addition, when the sampling time smaller than 1 / X of the current waveform variation VI is less than a predetermined ratio, the main noise included in the average current waveform is not white noise but a transient state. It can be estimated that Therefore, it is possible to determine whether or not the steady state is obtained by comparing the variation VA of the average waveform with 1 / X of the variation VI of the current waveform.

  Note that the value multiplied by the degree of variation VI of the current waveform when compared with the degree of variation VA of the average waveform is not limited to 1 / X, and may be determined as appropriate.

  When it is determined that it is in a steady state (step S109; Yes), the change determination unit 30 determines whether the steady data 16 is stored in the storage unit 14 (step S110). When the steady data 16 is not stored in the storage unit 14, the change determination unit 30 determines that there is no previous data (step S110; Yes). When the steady data 16 is stored in the storage unit 14, the change determination unit 30 determines that there is previous data (step S110; No).

  When it is determined that there is previous data (step S110; No), the change determination unit 30 determines whether there is a change in the electrical device 8 (step S111).

  Specifically, when the average current does not fall between the maximum average current and the minimum average current, the change determination unit 30 determines that there is a change (step S111; Yes). When the average current is between the maximum average current and the minimum average current, the change determination unit 30 determines that there is no change (step S111; No).

  Note that the change determination unit 30 may determine that there is a change when the sampling period in which the average current is between the maximum average current and the minimum average current is less than a predetermined ratio. Further, when the sampling period in which the average current is between the maximum average current and the minimum average current is equal to or greater than a predetermined ratio, the change determination unit 30 may determine that there is no change.

  When it is determined that there is no previous data (step S110; Yes) and when it is determined that there is a change (step S111; Yes), the steady data output unit 31 outputs the steady data 16 to the storage unit 14. Store (step S112).

  The average waveform data included in the steady data 16 here is, for example, the average waveform calculation unit 24 lastly among the Y average waveform data based on which the steady state determination unit 29 determines that the steady state is in the steady state. For example, it is acquired from the storage unit 14. Further, the maximum average waveform data and the minimum average waveform data included in the steady data 16 here are those generated last by the maximum / minimum average waveform generation unit 25, and are acquired from the storage unit 14, for example.

  By outputting the steady data 16 in this way, current waveform data in a steady state that is characteristic when the electrical device 8 is operating in a specific operation mode is collected in the storage unit 14.

  The transmission unit 13 transmits notification data including the output of the steady data to the terminal device 4 (step S113).

  When it is determined that there is no change (step S111; No), the transmission unit 13 transmits notification data including that there is no change in the electrical device 8 to the terminal device 4 (step S114).

  When it is determined that the state is an unsteady state (step S109; No), the transmission unit 13 transmits notification data including the unsteady state to the terminal device 4 (step S115). After these notification data transmission processes (steps S113 to S115), the state diagnosis device 3 clears various data other than the steady data 16 stored in the storage unit 14 in the state diagnosis process and ends the state diagnosis process. . The state diagnosis device 3 repeats the above-described state diagnosis process while the power is on, for example.

  For example, the terminal device 4 executes the notification process illustrated in FIG. 7 while the power is on. As shown in the figure, the notification determination unit 44 determines whether or not notification data has been received from the state diagnosis device 3 by monitoring the reception unit 43 (step S131). When it is determined that the information has not been received (step S131; No), the notification determination unit 44 continues the reception determination process (step S131).

  If it is determined that it has been received (step S131; Yes), the notification determination unit 44 determines whether or not the notification data includes an unsteady state (step S132). When it is determined that the unsteady state is included (step S132; Yes), the notification control unit 45 turns on the display lamp 41a indicating that collection is in progress (step S133).

  While the display lamp 41a is lit, the state diagnosis device 3 collects the current waveform data in the steady state that is characteristic when the electrical device 8 is operating in a specific operation mode. The status diagnosis process is being executed. Therefore, the user stands by without starting other electrical devices while operating the electrical device 8 in a specific operation mode. Thereby, current waveform data in a steady state characteristic when the electric device 8 is operating in a specific operation mode is reliably collected in the state diagnosis device 3.

  When it is determined that the unsteady state is not included (step S132; No), the notification determination unit 44 determines whether or not the notification data includes that there is no change in the electrical device 8 (step S134). . If it is determined that there is no change in the electrical device 8 (step S134; Yes), the notification control unit 45 turns on the display lamp 41b indicating that it is on standby (step S135).

  By turning on the display lamp 41b, the user can know that the process for collecting the current waveform data is not executed in the state diagnosis device 3.

  When it is determined that it does not include that there is no change in the electrical device 8 (step S134; No), the notification determination unit 44 determines whether the notification data includes the output of the steady data (step S136). .

  When it is determined that it includes the output of steady data (step S136; Yes), the notification control unit 45 generates a notification sound on the speaker 42 (step S137), and displays the display lamp 41b indicating that it is on standby. Lights up (step S135).

  By generating the notification sound, the user can know that the current waveform data in the steady state of the electric device 8 operating in the specific operation mode has been collected. Further, by turning on the display lamp 41b, the user can know that the process for collecting the current waveform data is not executed in the state diagnosis device 3.

  When it is determined that it does not include the output of the steady data (step S136; No), or after executing the display lamp lighting process (steps S133 to S135), the notification determination unit 44 performs the reception determination process (step S131). Run again.

  While the display lamp 41b is lit, the state diagnosis device 3 executes state diagnosis processing while the power is turned on. However, if the user does not change the electric device 8, new current waveform data is displayed. Is not collected. Therefore, the user may check the lighting of the display lamp 41b and switch the operation mode of the electric device 8, for example. When the operation mode of the electrical device 8 is switched, current waveform data in a steady state characteristic of the electrical device 8 operating in the switched operation mode is automatically collected by the state diagnosis device 3 that executes state diagnosis processing. Is done. While the state diagnosis process for collecting the current waveform data is being performed, the display lamp 41a is turned on in the terminal device 4.

  When current waveform data in a steady state characteristic of the electric device 8 operating in the operation mode after switching is collected, a notification sound is emitted and the display lamp 41b is turned on. The user may confirm that the display lamp 41b is turned on, and then stop the electric device 8, for example, and operate another electric device 8 (for example, a television) in a specific operation mode. As a result, current waveform data in a steady state that is characteristic when the electrical device is operating in a specific operation mode is automatically collected by the state diagnosis device 3.

  As described above, the user confirms the display lamps 41a and 41b and switches the operation mode of the electric device 8 to change the operation mode of the electric device 8 in a steady state characteristic when the desired electric device is operating in the desired operation mode. Current waveform data can be collected. Therefore, even in the case of a user who does not know in detail the principle of determining whether or not the current in the feeder line 5 is in a steady state, the current in a steady state that is characteristic when various electrical devices operate in each operation mode Waveform data can be collected reliably and easily.

  The first embodiment of the present invention has been described above. According to the present embodiment, the state diagnosis device 3 analyzes the current waveform in the power supply line 5 to which the electrical device 8 is connected, and determines whether or not the current in the power supply line 5 is in a steady state. Therefore, it is possible to collect current waveform data (steady data 16) in a steady state that is characteristic of the electric device 8. The collected current waveform data can be used as current waveform data serving as a reference for estimating the operating status of the electrical device 8. As a result, it is possible to improve the accuracy of estimating the operating status of the electric device 8.

  In the first embodiment, the characteristic current waveform data of the electric device 8 is collected. However, the average waveform data of the steady data 16 is used as the current waveform data for estimating the operating electric device 8. You can also. That is, by determining whether or not the current in the feed line 5 is in a steady state, the current waveform data in the steady state in the feed line 5 (average waveform data of the steady data 16) It can be acquired as current waveform data for estimation. This makes it possible to improve the accuracy of estimating the operating status of the electrical device 8.

  In general, the voltage waveform in the power supply line 5 may be distorted due to various factors such as the environment of the house where the power supply line 5 is provided, for example, the distance from the house to the substation. Although the distortion of the voltage waveform greatly affects the shape of the current waveform, it is difficult to predict the distortion of the voltage waveform due to the complexity of the factors. According to this embodiment, even if the voltage waveform is distorted, it can be accurately determined whether or not it is in a steady state. Therefore, current waveform data in a steady state can be acquired regardless of the environment of the house. As a result, it is possible to improve the accuracy of estimating the operating status of the electric device 8.

  Furthermore, according to this embodiment, the presence or absence of the change of the electric equipment 8 is determined based on the current waveform data in a steady state. Therefore, it is possible to accurately determine whether or not the electric device 8 has changed. Therefore, it is possible to acquire current waveform data in a steady state according to the change of the electric device 8. As a result, it is possible to accurately estimate various operating conditions of the electric device 8.

  Furthermore, according to the present embodiment, the current waveform in the steady state of the electric device operating in the specific operation mode is automatically stored in the storage unit 14 as the steady data 16. Therefore, it is possible to quickly collect steady-state current waveform data of an electric device that operates in a specific operation mode. Further, it is possible to reduce erroneous storage of a current waveform temporarily changed due to a user's operation mistake or environmental noise, and to reduce wasteful consumption of the storage capacity of the storage unit 14. Thus, according to the present embodiment, current waveform data in a steady state can be collected efficiently and accurately.

  Furthermore, according to the present embodiment, the result of diagnosis is notified to the user. Therefore, even a user who does not know in detail the principle of determining whether or not the current in the power supply line 5 is in a steady state can know whether or not the current in the power supply line 5 is in a steady state. As a result, even when the steady data 16 is not automatically stored in the storage unit 14, the user can manually store the steady-state current waveform data in the storage unit 14.

  The first embodiment may be modified as follows.

  For example, the trigger determination unit 21 may determine based on the current instead of the voltage in the power supply line 5. In this case, the state diagnosis apparatus 103 may be configured as shown in FIG.

  As shown in the figure, the state diagnosis apparatus 103 includes a commercial frequency current extraction circuit 111 instead of the commercial frequency voltage extraction circuit 11 according to the first embodiment. The CPU 115 included in the state diagnosis apparatus 103 includes a trigger determination unit 121 instead of the trigger determination unit 21 included in the CPU 15 according to the first embodiment. The commercial frequency current extraction circuit 111 is an electric circuit that acquires a current signal output from the CT sensor 10, extracts a frequency component near the commercial power supply frequency from the current signal, and outputs the extracted frequency component. When the current indicated by the current signal output from the commercial frequency current extraction circuit 111 is equal to or greater than the threshold value, the trigger determination unit 121 determines whether or not the current has changed in a certain direction across a certain value. If the trigger determination unit 121 determines that the change has occurred, the trigger determination unit 121 outputs a trigger signal immediately after the determination.

  According to this, since the PT sensor 9 for measuring the voltage is not required, the configuration of the state diagnosis device 3 can be simplified, and the cost can be reduced.

  Further, for example, in the first embodiment, the current waveform acquisition unit 22 acquires the current signal during the sampling period T [seconds] after acquiring the trigger signal, but the sampling period is not limited to a certain time. . For example, a period from when the trigger signal is acquired until the next trigger signal is acquired may be employed as the sampling period.

  According to this, even if the frequency of the voltage in the feeder 5 changes, a current signal for one cycle can be acquired. Thereby, it is possible to acquire current waveform data suitable for determining whether or not the electric device 8 is operating, and it is possible to improve the accuracy of determining the operating electric device 8.

  Further, for example, the sampling period in which the current waveform acquisition unit 22 acquires the current signal is not limited to one cycle T [seconds] of the commercial power supply, and may be, for example, a half cycle T / 2 [seconds] of the commercial power supply. In general, the harmonic component included in the current of the feeder line 5 has a similar shape of positive and negative inversions in the first half cycle and the second half cycle of one cycle of the commercial power supply. For this reason, even if the sampling period is set to a half cycle T / 2 [seconds] of the commercial power supply, the accuracy of estimating the operating status of the electric device 8 hardly decreases. Therefore, it is possible to reduce the memory consumption of the storage unit 14 and the load on the CPU 15 without reducing the accuracy of estimating the operating status of the electrical device 8.

Further, for example, the variation VA of the average waveform may be composed of N elements representing the dispersion of the average current at each sampling period included in the Y average waveforms _Aj . In this case, the average waveform variation VA can be calculated by obtaining Y average waveform data from the average waveform calculation unit 24.

As described above, when the variation VA of the average waveform is composed of elements representing the dispersion of the average current, the variation VI of the current waveform includes the elements of each sampling period included in the X × Y current waveforms I _{i, j.} A vector composed of N elements representing the variance of the above may be employed. In this case, the current waveform variation VI can be calculated by acquiring X × Y current waveform data from the current waveform acquisition unit 22.

In this case, in a steady state, by comparing a predetermined ratio of the variation VA of the average waveform and the variation VI of the current waveform (for example, a value obtained by multiplying the variation VI of the current waveform by 1 / X ^2). It can be determined whether or not there is.

When variance is employed for the average waveform variability VA and the current waveform variability VI in this way, the electrical equipment is used using the variability in consideration of the distribution of the elements of the average current and current waveform I _{i, j} at each sampling period. 8 operational status can be estimated. By changing the variation VA of the average waveform and the variation VI of the current waveform in accordance with the installation status of the state diagnosis system 1, it is possible to further improve the accuracy of diagnosis by the state diagnosis device 3.

  Further, for example, the consumer is not limited to a general household. Moreover, the state diagnosis apparatus 3 does not necessarily need to be provided in the distribution board 2, and should just be provided so that the electric current in the feeder 5 and the voltage as needed can be acquired. The electric device 8 may be any device that uses the power supplied from the power supply line 5, and the type thereof and the manner in which it is connected to the power supply line 5 are not limited. Also by these, it is possible to achieve the same effect as in the first embodiment.

  Further, for example, the steady data output unit 31 may output the steady data 16 other than when the change determination unit 30 determines that the electric device 8 operating has changed. For example, the steady data output unit 31 may output the steady data 16 when the steady state determination unit 29 determines that the steady state is in the steady state. Here, the output steady data 16 is the average waveform data 17, the maximum average waveform data 18, and the minimum average waveform data 19 that are the basis of determination by the steady state determination unit 29, as in the first embodiment. . This also makes it possible to acquire current waveform data in a steady state as in the first embodiment. As a result, it is possible to improve the accuracy of estimating the operating status of the electric device 8. Further, similarly to the first embodiment, it is possible to efficiently collect current waveform data in a steady state.

  Further, for example, in the first embodiment, the steady data output unit 31 outputs the steady data 16 to the storage unit 14, whereby current waveform data in a steady state characteristic of the electrical device 8 is collected. The data output destination of the steady data output unit 31 is not limited to this. The steady data output unit 31 may output the steady data 16 to a device other than the state diagnosis device 3, for example, a device that estimates the operating status of the electrical device 8. This output may be performed via a wireless or wired communication line.

  Thus, when estimating the operating status of the electrical device 8, it is possible to save the trouble of moving the steady data 16 collected by the state diagnosis device 3 to a device that estimates the operating status of the electrical device 8.

  Further, for example, the display lamps 41a and 41b and the speaker 42 are an example of notification means for notifying the user of the result of determination by the state diagnosis device 3, and the notification means includes a liquid crystal panel for displaying characters, figures, and the like. It may be adopted. Further, the method of notifying the determination result included in the notification data is not limited to that described in the first embodiment. For example, the determination included in the notification data is performed by changing the blinking pattern of the display lamp according to the determination result. You may be informed of the results. This also makes it possible to notify the user of the result of diagnosis by the state diagnosis device 3 as in the first embodiment.

Embodiment 2. FIG.
When it is determined that the electrical device 8 is operating in a steady state, the state diagnosis device according to the second embodiment of the present invention stores steady data as in the first embodiment, and is further supplied from the feeder line 5. Steady data when the voltage or frequency of the power to be converted is also stored.

  The state diagnosis system according to the present embodiment includes a state diagnosis device 203 and a terminal device 4. The configuration of the terminal device 4 according to the present embodiment is the same as that of the terminal device 4 according to the first embodiment.

  As shown in FIG. 9, the state diagnosis apparatus 203 according to the present embodiment includes a power conversion circuit 251 in addition to the configuration included in the state diagnosis apparatus 3 according to the first embodiment, and the state diagnosis apparatus 3 according to the first embodiment includes A CPU 215 is provided instead of the CPU 15 provided. The storage unit 14 stores first to ninth steady data 216a to 216i instead of the steady data 16 according to the first embodiment.

  The power conversion circuit 251 is an electric circuit that is interposed in the feeder line 5 and converts the voltage and frequency of power supplied from the commercial power supply 6. The power conversion circuit 251 includes a transformer or an LCR circuit, for example.

  When the voltage of the power supplied from the commercial power supply 6 is 101 [V], the power conversion circuit 251 converts the voltage to 101 ± 5 [V], for example. When the frequency of power supplied from the commercial power supply 6 is 50 [Hz], the power conversion circuit 251 converts the frequency to 50 ± 0.2 [Hz], for example. The voltage and frequency patterns converted by the power supply conversion circuit 251 may be determined as appropriate.

  As shown in FIG. 10, the first steady data 216a includes average waveform data 217a, maximum average waveform data 218a, and minimum average waveform data 219a in a steady state at the voltage and frequency of the commercial power source 6. That is, the first steady data 216a is data (non-converted steady data) in a steady state at a voltage and a frequency that are not converted by the power supply conversion circuit 251, similarly to the steady data 16 according to the first embodiment. .

  As shown in FIGS. 11 to 18, the second to ninth steady data 216 b to i are respectively the maximum average waveform data 218 b to i and the minimum when the steady state is obtained at the voltage and frequency converted by the power conversion circuit 251. Average waveform data 219b-i. That is, the second to ninth steady data 216b to 216i are examples of converted steady data, respectively. The converted voltage and frequency values are associated with the second to ninth steady data 216b-i.

  The CPU 215 is configured by one or a plurality of processors similarly to the CPU 15 according to the first embodiment. As shown in FIG. 9, the CPU 215 functionally includes a power conversion control unit 252 in addition to the configuration included in the CPU 15 according to the first embodiment, and instead of the steady data output unit 31 included in the CPU 15 according to the first embodiment. A data output unit 231 is provided.

  The power conversion control unit 252 controls the power conversion circuit 251 when the change determination unit 30 determines that there is a change. As a result, the power conversion control unit 252 converts the voltage and frequency of power supplied from the commercial power supply 6 in a predetermined pattern.

  The power conversion control unit 252 sets the voltage and frequency of the commercial power supply 6 to, for example, 101 ± 5 [V] and 50 ± 0.2 [Hz] as described above, that is, (1) 106 [V] and 50 [ Hz], (2) 96 [V] and 50 [Hz], (3) 101 [V] and 50.2 [Hz], (4) 106 [V] and 50.2 [Hz], (5) 96 [V] and 50.2 [Hz], (6) 101 [V] and 49.8 [Hz], (7) 106 [V] and 49.8 [Hz], (8) 96 [V] and 49 Conversion is performed with 8 patterns of 8 [Hz].

  Similarly to the steady data output unit 31 according to the first embodiment, the steady data output unit 231 outputs the first steady data 216a and stores the first steady data 216a in the storage unit 14 when the change determination unit 30 determines that there is a change. . The first steady data 216a output here includes average waveform data 217a, maximum average waveform data 218a, and minimum average waveform data 219a. The average waveform data 217a is a basis for determining that the steady state determination unit 29 is in a steady state. The maximum average waveform data 218a and the minimum average waveform data 219a are generated from the average waveform data 217a.

  The steady data output unit 231 further includes the second to ninth steady data 216b to 216b when the steady state determination unit 29 determines that the voltage and frequency of each pattern converted by the power supply conversion control unit 252 are in a steady state. Each i is output and stored in the storage unit 14. Here, each of the output second to ninth steady data 216b to i includes maximum average waveform data 218b to i and minimum average waveform data 219b to i. The maximum average waveform data 218 b to i and the minimum average waveform data 219 b to i are generated from the average waveform data that is the basis of each determination that the steady state determination unit 29 is in the steady state.

  Note that the functions of the CPU 215 may be realized as functions of the processor itself, as in the first embodiment, and are realized as functions exhibited by the processor by executing a software program stored in the storage unit 14. Or may be realized by a combination thereof.

  From here, the process which the state diagnostic apparatus 203 performs is demonstrated.

  As shown in FIG. 19, the state diagnosis process executed by the state diagnosis apparatus 203 includes a power supply conversion process (step S241) in addition to the state diagnosis process (see FIG. 5) executed by the state diagnosis apparatus 3 according to the first embodiment. Execute. The power conversion process (step S241) is executed between the steady data output process (step S112) and the output notification transmission process (step S113). In the steady data output process (step S112), the first steady data 216a is output.

  A detailed process flow in the power conversion process (step S241) is shown in FIG. As shown in the figure, the state diagnosis apparatus 203 repeats each process (step S252, steps S101 to S107, step S253) with the above-described eight patterns of voltages and frequencies (loop C; step S251).

  The power conversion control unit 252 (1) converts the voltage and frequency of the commercial power supply 6 to 106 [V] and 50 [Hz] (step S252). Then, the processing (steps S101 to S107) described in the first embodiment is executed. As a result, (1) maximum average waveform data 218b and minimum average waveform data 218c in a stable state at 106 [V] and 50 [Hz] are generated.

  The steady data output unit 231 outputs the generated maximum average waveform data 218b and minimum average waveform data 218c as second steady data 216b (step S253). As a result, the second steady data 216b is stored in the storage unit 14.

  Such processing is repeated for each pattern described above (loop C; step S251). As a result, the storage unit 14 stores the second to ninth steady data 216b to i.

  The second embodiment of the present invention has been described above. According to the present embodiment, the same effects as those of the first embodiment can be obtained.

  In general, the voltage and frequency of power supplied from the commercial power supply 6 may fluctuate depending on the usage status and season of the power in the peripheral facilities of the consumer. According to this embodiment, it is possible to collect in advance current waveform data that assumes fluctuations in the voltage and frequency of power supplied from the commercial power supply 6.

  Therefore, for example, the similarity between the current waveform data in the feeder line 5 and the average waveform data included in the first to ninth steady data 216a to 216i is calculated, and the first to the first waveform data including the average waveform data whose similarity exceeds the threshold value. The operation status of the electric device 8 can be estimated using the ninth steady data 216a to 216i. Note that the similarity is the sum of absolute differences for each sampling period.

  In addition, for example, the operation status of the electrical device 8 is estimated using the voltage and frequency pattern data closest to the voltage and frequency of the feeder line 5 at the time of the determination among the first to ninth steady data 216a to 216i. can do.

  Thus, according to the present embodiment, appropriate current waveform data (first to ninth steady data 216a to 216i) can be selected and used to estimate the operating status of the electrical device 8. Therefore, it is possible to further improve the accuracy of estimating the operating status of the electric device 8.

  The second embodiment may be modified as follows.

  For example, the power supply conversion control unit 252 controls the power supply conversion circuit 251 when the steady state determination unit 29 determines that the power supply conversion circuit 251 is in the steady state, and thereby the voltage and frequency of the power supplied from the commercial power supply 6 are set in advance. You may make it convert with the defined pattern. This also enables efficient collection of current waveform data in a steady state when the voltage and frequency change, as in the second embodiment.

  Further, for example, the second to ninth steady data 216b to 216i may further include average waveform data when the steady state is obtained with the converted voltage and frequency.

  In this case, by comparing the average waveform data in each pattern, it is possible to calculate the susceptibility to influence of fluctuations in the commercial power source 6 for each sampling period. Then, the most appropriate current waveform data (first to ninth steady data 216a to 216i) is calculated using the similarity calculated by weighting so as to emphasize the sampling time that is not easily affected by fluctuations in the commercial power source 6. Can be selected and used to estimate the operating status of the electrical device 8. Therefore, it is possible to further improve the accuracy of estimating the operating status of the electric device 8.

  As mentioned above, although embodiment and the modification of this invention were demonstrated, this invention is not limited to them. The present invention includes not only the embodiments and modifications, but also combinations of the embodiments and modifications as appropriate, and equivalents thereof.

DESCRIPTION OF SYMBOLS 1 State diagnostic system 3,103,203 State diagnostic apparatus 4 Terminal apparatus 5 Feeder line 6 Commercial power supply 8 Electric equipment 9 PT sensor 10 CT sensor 11 Commercial frequency voltage extraction circuit 12 Harmonic current extraction circuit 13 Transmission part 14 Storage part 15, 115,215 CPU
21, 121 Trigger determination unit 22 Current waveform acquisition unit 23 Total waveform calculation unit 24 Average waveform calculation unit 25 Maximum / minimum average waveform generation unit 26 Maximum / minimum current waveform generation unit 27 Average waveform variability calculation unit 28 Current waveform variation Degree calculation unit 29 Steady state determination unit 30 Change determination unit 31 231 Steady data output unit 41a, b Display lamp 42 Speaker 43 Reception unit 44 Notification determination unit 45 Notification control unit 111 Commercial frequency current extraction circuit 251 Power source conversion circuit 252 Power source conversion Control unit

Claims (10)

A current sensor that measures a current value in a power supply line that supplies electric power to an electric device at a predetermined sampling period;
Trigger signal output means for outputting a trigger signal when the current or voltage in the power supply line changes across a predetermined threshold corresponding to the current or voltage;
Current waveform acquisition means for acquiring the trigger signal, and acquiring current waveform data representing a change over time in a feature value of a current value measured by the current sensor in a predetermined sampling period after acquiring the trigger signal;
When current waveform data of X (X is a natural number) or more is acquired by the current waveform acquisition means, average waveform calculation means for generating average waveform data by averaging the X current waveform data; and
When Y (Y is a natural number) average waveform data is generated by the average waveform calculation means, the average waveform variability indicating the variability of the value of each corresponding sampling time is calculated for the Y average waveform data. First fluctuation degree calculating means for calculating;
When Y average waveform data is generated by the average waveform calculation means, the X × Y current waveform data from which the Y average waveform data is generated is a value corresponding to each sampling period. Second fluctuation degree calculating means for calculating the fluctuation degree of the current waveform representing the fluctuation degree of
The average waveform variability at each sampling period is compared with a predetermined ratio of the current waveform variability, and as a result of comparison, the average waveform variability at the sampling period equal to or greater than a predetermined ratio is A state diagnosis device comprising: steady state determination means for determining that the current in the feeder line is in a steady state when the degree of variation is smaller than a predetermined ratio. In synchronization with the current sensor, further comprising a voltage sensor for acquiring a voltage in the feeder line at a predetermined sampling period,
The trigger signal output means determines whether the magnitude of the specific frequency component of the voltage acquired by the voltage sensor has changed in a certain direction across the threshold, and immediately after determining that it has changed, the trigger signal output means The condition diagnosis apparatus according to claim 1, wherein a signal is output. Maximum average waveform generation means for generating maximum average waveform data representing a maximum value at each sampling period included in the Y average waveform data;
Minimum average waveform generation means for generating minimum average waveform data representing a minimum value at each sampling period included in the Y average waveform data;
Storage means for storing steady data including at least one of the Y average waveform data, the maximum average waveform data, and the minimum average waveform data;
When it is determined that the steady state is detected by the steady state determination means, the maximum average waveform data and the minimum average waveform data generated from the Y average waveform data that is the basis of the determination and the Y average waveform data The state diagnosis apparatus according to claim 1, further comprising a steady data output unit that outputs the steady data including at least one of average waveform data to the storage unit. If it is determined that a steady state by the steady state determining means, any one of Y number average waveform data which is the basis of the determination, the steady-state decision section before the determination is constant By comparing with the steady data stored in the storage means by determining that it is in a state, as a result of the comparison, at one sampling period of a predetermined ratio or more , any one of the Y average waveform data Change determining means for determining that the operation mode of the electrical device has changed when the included average current is not between the maximum and minimum values included in the maximum average waveform data and the minimum average waveform data. The state diagnosis apparatus according to claim 3, further comprising: The steady data output means is a case in which it is determined that the steady state determination means is in a steady state, and when the change determination means determines that the change has occurred, it becomes a basis for determination by the change determination means. Outputting the steady data including the maximum average waveform data and the minimum average waveform data generated from the Y average waveform data after the change and at least one of the Y average waveform data to the storage unit. The state diagnosis apparatus according to claim 4. Power supply conversion means for converting the voltage or frequency of power supplied via the feeder line;
A power supply conversion control means for converting the voltage or frequency of the power to the power supply conversion means in a predetermined pattern when it is determined that the steady state is determined by the steady state determination means;
Maximum average waveform generating means for generating maximum average waveform data including a maximum value at each sampling period included in the Y average waveform data;
Minimum average waveform generation means for generating minimum average waveform data including a minimum value at each sampling period included in the Y average waveform data;
Unconverted steady data including at least one of the Y average waveform data at the voltage and frequency before being converted by the power conversion means, the maximum average waveform data, and the minimum average waveform data; and the converted data Storage means for storing converted stationary data including at least one of the Y average waveform data at a voltage or frequency and the maximum average waveform data and the minimum average waveform data;
When it is determined that the steady state is determined by the steady state determination unit at the voltage and frequency before being converted by the power conversion unit, the maximum generated from the Y average waveform data that is the basis of the determination The non-converted steady data including the average waveform data, the minimum average waveform data, and at least one of the Y average waveform data is output to the storage means, and after the conversion, the steady-state determining means outputs the steady-state data in a steady state. If it is determined that there is, the maximum average waveform data and the minimum average waveform data generated from the Y average waveform data that is the basis of the determination, and at least one of the Y average waveform data The state diagnosis according to claim 1, further comprising: steady data output means for outputting the converted steady data to the storage means. apparatus. If it is determined that a steady state by the steady state determining means, any one of Y number average waveform data which is the basis of the determination, the steady-state decision section before the determination is constant As a result of comparing and comparing the non-conversion steady data or the conversion steady data stored in the storage means by determining that it is in a state, the Y average waveform data at a sampling time of a predetermined ratio or more The average current included in any one of the data is within the maximum value and the minimum value included in the maximum average waveform data and the minimum average waveform data included in the non-converted steady data or the converted steady data. The state diagnosis apparatus according to claim 6, further comprising: a change determination unit that determines that a change has occurred when not. The power conversion control means is a case where the power supplied via the power supply line is determined when the steady state determination means determines that the steady state is detected and the change determination means determines that the change has occurred. The voltage or frequency is converted into the power conversion means,
The steady-state data output means is a basis for determination by the change determination means when it is determined by the steady-state determination means that it is in a steady state and when it is determined that the change determination means has changed. Outputting the unconverted steady data including the maximum average waveform data and the minimum average waveform data generated from the Y average waveform data and at least one of the Y average waveform data to the storage unit, and The maximum average waveform data and the minimum average generated from the Y average waveform data used as the basis of the discrimination when the steady state discrimination means discriminates the steady state with the converted voltage or frequency. The converted steady data including waveform data and at least one of the Y average waveform data is output to the storage means. Item 8. The condition diagnosis device according to Item 7. A state diagnostic device according to any one of claims 1 to 8 and a terminal device,
The state diagnosis device
As a result of determination by the steady state determination means, further comprising a transmission means for transmitting notification data including the determination result by the change determination means,
The terminal device
A notification means for notifying the user;
Receiving means for receiving the notification data;
A state diagnosis system comprising: a notification control unit that determines content included in the received notification data and controls the notification unit according to the determined result. Computer
A trigger signal output means for outputting a trigger signal when the current or voltage in the feeder line changes across a predetermined threshold corresponding to each
The characteristic value of the current value measured in a predetermined sampling period after the trigger signal is acquired by a current sensor that acquires the trigger signal and measures the current value in the power supply line at a predetermined sampling period. Current waveform acquisition means for acquiring current waveform data representing;
When X (X is a natural number) or more current waveform data is acquired by the current waveform acquisition unit, an average waveform calculation unit that generates average waveform data by averaging the X current waveform data;
When Y (Y is a natural number) average waveform data is generated by the average waveform calculation means, the average waveform variability indicating the variability of the value of each corresponding sampling time is calculated for the Y average waveform data. First fluctuation degree calculating means for calculating,
When Y average waveform data is generated by the average waveform calculation means, the X × Y current waveform data from which the Y average waveform data is generated is a value corresponding to each sampling period. Second fluctuation degree calculating means for calculating the fluctuation degree of the current waveform representing the fluctuation degree of
The average waveform variability at each sampling period is compared with a predetermined ratio of the current waveform variability, and as a result of comparison, the average waveform variability at the sampling period equal to or greater than a predetermined ratio is A program that functions as a steady state determination unit that determines that the current in the power supply line is in a steady state when the fluctuation rate is smaller than a predetermined ratio.

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