JP5452558B2 - Watch system, watch device and watch method - Google Patents

Description

  The present invention relates to a technique for watching a resident.

  Along with the diversification of lifestyles, the number of single or few households tends to increase. In such a household, for example, when a resident is suddenly in poor health, a serious situation may occur without being noticed by anyone. In order to avoid such a situation, a technique for watching a resident from a distance has been proposed.

  For example, Patent Document 1 estimates whether a resident's life pattern is measured by measuring the amount of power consumed in the house, and whether the resident is abnormal by comparing the estimated life pattern with an expected parameter. Disclose the technology to determine

JP 2008-112267 A

  However, in the technique disclosed in Patent Document 1, when an electric device such as an electric water heater or an air conditioner that automatically switches between operation and stop automatically operates, it is determined whether there is an abnormality in the resident. There is a problem that may be mistaken.

  The present invention has been made under the above circumstances, and an object thereof is to provide a monitoring system for accurately determining the safety of a resident.

In order to achieve the above object, the watching system of the present invention is:
It has a monitoring device and a management device connected via a communication line,
The monitoring device is:
Power consumption measuring means for measuring the power consumption of the house at predetermined intervals;
Extraction means for extracting a plurality of frequency components at each measurement time from the transition of the measured power consumption;
The number representing the number of frequencies greater than a predetermined threshold value corresponding to each frequency and representing the transition of each extracted frequency component is counted for each measurement time, and the occupants of the house at each measurement time Activity amount calculating means for generating activity amount data indicating an activity amount by the counted value;
Transmission means for transmitting the generated activity amount data via the communication line,
The management device
Receiving means for receiving the transmitted activity data via the communication line;
Display control means for displaying a change in a value indicated by the activity amount data.

  According to the present invention, a plurality of frequency components are extracted from the power consumption, and the amount of activity of the resident is calculated based on the extracted plurality of frequency components. For this reason, operation of the electric equipment by the resident, that is, the resident's activity amount can be accurately represented by the activity amount. Accordingly, it is possible to accurately determine the safety of the resident.

It is a figure showing the composition of the watching system concerning one embodiment. It is a figure which shows the functional structure of the monitoring apparatus which concerns on one Embodiment. It is a figure which shows an example of power consumption data. It is a figure which shows an example of activity amount data. It is a figure which shows the functional structure of the management apparatus which concerns on one Embodiment. It is a figure which shows an example of collection data. It is a flowchart which shows the flow of a power consumption data storage process. It is a flowchart which shows the flow of a watching process. It is a flowchart which shows the flow of a transmission process. It is a flowchart which shows the flow of a display process. It is a figure which shows the physical structure of the monitoring apparatus which concerns on one Embodiment. It is a figure which shows the physical structure of the management apparatus which concerns on one Embodiment.

  Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

  FIG. 1 is a diagram illustrating a configuration of a watching system 1 according to an embodiment. The watching system 1 is a system for watching the safety of a resident 4 in each dwelling unit (housing) 3 of an apartment house 2 such as an apartment or an apartment from a distance, and includes a watching device 5 and a management device 6. The watching device 5 and the management device 6 are communicably connected via a communication line 7 such as a wired or wireless LAN (Local Area Network).

  The watching device 5 is a device that generates activity amount data indicating the activity amount of the resident 4 based on the power consumption of each dwelling unit 3 where the resident 4 lives. The watching device 5 is provided on the distribution board 8 of each dwelling unit 3.

  The distribution board 8 is provided between the power meter 10 and the electric device 13. The electric power supplied from the commercial power supply 9 to the power meter 10 through the power supply line 11 is supplied from the power meter 10 through the indoor wiring 12 to an electric air conditioner, refrigerator, microwave oven, TV, etc. provided in each dwelling unit 3. Supplied to the device 13.

  Generally, the indoor wiring 12 branches through an electric breaker provided in the distribution board 8. By providing the monitoring device 5 on the distribution board 8, the power consumption can be measured by the indoor wiring 12 that is not branched from each dwelling unit 3. Therefore, the total power consumed by each dwelling unit 3 is easily measured. be able to.

  The management device 6 is a device for acquiring activity amount data from the monitoring device 5 of each dwelling unit 3 and managing the acquired activity amount data. As shown in FIG. 1, the management device 6 is provided in a manager room 15 packed by a manager 14 who watches over the safety of the resident 4.

  FIG. 2 is a diagram illustrating a functional configuration of the watching device 5. As shown in the figure, the monitoring device 5 includes a timer unit 21, a power consumption measuring unit 22, a power consumption data generating unit 23, an extracting unit 24, a moving average calculating unit 25, and an activity amount calculating unit 26. A storage unit 27 and a transmission unit 28.

  The time measuring unit 21 measures the current time and sequentially outputs current time data indicating the measured time.

  The power consumption measurement unit 22 measures the power consumption P (T) [W] in each dwelling unit 3 by measuring the power supplied via the indoor wiring 12 at a predetermined period. The power consumption measuring unit 22 outputs measurement data indicating the measurement result.

  The power consumption data generating unit 23 indicates power consumption data indicating the power consumption P (T) at the measurement time T based on the measurement data output from the power consumption measurement unit 22 and the current time data output from the time measurement unit 21. Is output. In the power consumption data, the measurement time T and the power consumption P (T) are associated with each other.

  An example of the transition of power consumption represented by a series of power consumption data is shown in FIG. In the figure, the horizontal axis represents the measurement time T, and the vertical axis represents the measured power consumption P (T) [W]. The transition of the power consumption shown in the figure is represented by a series of power consumption data including the measurement time T from “August 1, 2011 21:00” to “August 2, 2011 2:00”.

  The extraction unit 24 extracts the frequency component of each frequency F from the transition of the power consumption P (T) indicated by the power consumption data, using a bandpass filter having center frequencies of a plurality of predetermined frequencies F. Then, the extraction unit 24 outputs frequency component data indicating the frequency component FC at each measurement time T for each frequency F. In the frequency component data, the measurement time T and the frequency component FC are associated with each other.

  For each frequency F, the moving average calculation unit 25 calculates the moving average MA (value representing the transition of the frequency component FC) of the transition of the frequency component FC, and generates moving average data indicating the calculation result. In the moving average data, a measurement time T is associated with a simple average (moving average MA) of N frequency components FC (N is a natural number) before and after the measurement time T.

  For each frequency F, the activity amount calculation unit 26 compares a threshold TH determined in advance corresponding to each frequency F with the moving average MA at each measurement time T. When the moving average MA is larger than the threshold value TH, the activity amount calculating unit 26 determines the value of the measurement time T associated with the moving average MA as “1”. When the frequency component FC is equal to or less than the threshold value TH, the activity amount calculator 26 determines the value of the measurement time T associated with the moving average MA as “0”. Thereby, the moving average MA is binarized.

  For each frequency F, the activity amount calculation unit 26 generates binary data indicating a value obtained by binarizing the moving average MA at each measurement time T as described above. In the binary data, the measurement time T is associated with the determined value (1 or 0).

  The activity amount calculation unit 26 calculates the activity amount AA by adding the values included in each binary data at the same measurement time T. That is, the activity amount AA is represented by the number of frequencies F that exceed the threshold among the frequency components FC (moving average MA) included in the transition of power consumption. Then, the activity amount calculation unit 26 generates activity amount data in which the calculated activity amount AA and the measurement time T are associated with each other.

  The activity amount AA represents the activity amount of the resident 4 of each dwelling unit 3 at each measurement time T. This point will be described later.

  An example of the transition of the activity amount AA represented by a series of activity amount data is shown in FIG. In the figure, the horizontal axis represents the measurement time T, and the vertical axis represents the amount of activity AA. The transition of the activity amount AA shown in the figure is represented by activity amount data including the measurement time T from “August 1, 2011 00:00” to “August 2, 2011 0:00”.

  Returning to FIG. 2, the storage unit 27 stores power consumption data 31 generated by the power consumption data generation unit 23 and activity amount data 32 generated by the activity amount calculation unit 26.

  The transmission unit 28 acquires the activity amount data 32 generated by the activity amount calculation unit 26 from, for example, the storage unit 27 as needed. The transmission unit 28 generates collection data obtained by adding a house ID (Identification) to the acquired activity data 32. The transmission unit 28 transmits the generated collected data to the management device 6 via the communication line 7. The house ID is determined so that the dwelling unit 3 provided with the watching device 5 can be specified, and is a room number of the dwelling unit 3, for example.

  FIG. 5 is a diagram illustrating a functional configuration of the management device 6. As shown in the figure, the management device 6 includes a receiving unit 41, a storage unit 42, a display unit 43, and a display control unit 44.

  The receiving unit 41 receives the collected data transmitted from the monitoring device 5 of each dwelling unit 3 via the communication line 7. Then, the reception unit 41 outputs the received collected data to the storage unit 42.

  The storage unit 42 stores the collected data 51 output from the receiving unit 41. FIG. 6 shows an example of the collected data 51. As shown in the figure, in the collected data 51, the house ID 52 and the activity data 32 are associated with each other.

  The display unit 43 displays the collected data 51 stored in the storage unit 42. The display control unit 44 acquires the collected data 51 from the storage unit 42 as needed, and causes the display unit 43 to display the acquired collected data 51.

  So far, the functional configuration of the watching system 1 has been described. From here, an example of a flow of processing executed by each of the monitoring device 5 and the management device 6 included in the monitoring system 1 will be described with reference to the drawings.

  FIG. 7 is a flowchart showing a flow of power consumption data accumulation processing executed by the watching device 5. The power consumption data accumulation process shown in the figure is repeated while the monitoring device 5 is powered on, for example.

  The power consumption measuring unit 22 measures the power consumption P (T) in each dwelling unit 3 at a cycle of 1 second, for example, and immediately outputs measurement data including the measurement result when measured (step S101).

  The power consumption data generation unit 23 receives measurement data from the power consumption measurement unit 22 and receives current time data from the time measurement unit 21. Then, the power consumption data generating unit 23 generates power consumption data in which the power consumption P (T) indicated by each of the measurement data and the current time data received substantially simultaneously is associated with the time (step S102).

  The power consumption data generation unit 23 outputs the generated power consumption data to the storage unit 27, and the storage unit 27 accumulates and stores the power consumption data 31 output by the power consumption data generation unit 23 (step S103). Thereby, the history of the total power consumption of each dwelling unit 3 is accumulated in each watching device 5.

  FIG. 8 is a flowchart showing the flow of the watching process executed by the watching device 5. The watching process shown in the figure is started, for example, after the watching device 5 is turned on and a predetermined number of power consumption data is stored. The watching process is repeated until the power is turned off, for example.

  The extraction unit 24 acquires a series of power consumption data associated with a predetermined measurement time T from the power consumption data 31 generated by the power consumption data generation unit 23 from the storage unit 27 (step S201).

  The power consumption data 31 acquired here is, for example, necessary for calculating the amount of activity AA that continues over time. More specifically, for example, it is assumed that the activity amount AA corresponding to a certain number of measurement times T is calculated by performing one watch process. In this case, the power consumption data 31 acquired in the power consumption data acquisition process (step S201) is a fixed number from the measurement time T next to the last measurement time T when the activity amount AA was calculated in the previous monitoring process. This is necessary for calculating the activity amount AA corresponding to the measurement time T.

  For example, the extraction unit 24 may acquire power consumption data sequentially from the power consumption data generation unit 23 and may hold a series of power consumption data necessary for calculating the activity amount AA.

  The extraction unit 24 extracts the frequency component FC of the predetermined frequency F from the power consumption indicated by the acquired power consumption data (step S202). Then, the extraction unit 24 generates a series of frequency component data including the extracted frequency component FC for each frequency F. The predetermined frequency F is, for example, a frequency corresponding to a period of 10, 20, 30, ..., 70, 80, and 90 [seconds], that is, 6, 3, 2, 1.5, 1.2, 1 , 6/7, 0.75, and 2/3 [Hz].

  The moving average calculation unit 25 acquires a series of frequency component data from the extraction unit 24. The moving average calculator 25 calculates the moving average MA of the frequency component FC indicated by the series of frequency component data (step S203). Then, the moving average calculation unit 25 generates a series of moving average data including calculation results for each frequency F.

  The activity amount calculation unit 26 acquires a series of moving average data from the moving average calculation unit 25. The activity amount calculator 26 compares the moving average MA at each measurement time T with the threshold value TH for each frequency F. The threshold value TH is predetermined for each frequency F, that is, for each of 6, 3, 2, 1.5, 1.2, 1, 6/7, 0.75, and 2/3 [Hz].

  Based on the comparison result, for each frequency F, the activity amount calculation unit 26 sets the value of the measurement time T at which the moving average MA is greater than the threshold TH to 1, and sets the value of the measurement time T of the moving average MA below the threshold TH to 0. And decide. Thereby, the activity amount calculation unit 26 binarizes each frequency component FC (step S204). The activity amount calculation unit 26 generates a series of binary data for each frequency F.

  The activity amount calculator 26 adds the values included in the series of binary data for each measurement time T. That is, the activity amount calculation unit 26 counts the number of frequencies F at which the value at each measurement time T of the moving average MA of each frequency F is greater than each threshold value TH corresponding to each frequency F for each measurement time T. Thereby, the activity amount calculator 26 calculates the activity amount AA at each measurement time T (step S205).

  The activity amount calculation unit 26 generates activity amount data indicating the activity amount at each measurement time T for each frequency F (step S206).

  The activity amount calculation unit 26 outputs the generated activity amount data 32 to the storage unit 27, and the storage unit 27 accumulates and stores the activity amount data 32 output by the activity amount calculation unit 26 (step S207).

  By repeating such watching process, the activity amount AA of the resident 4 at each measurement time T is calculated, and a series of activity amount data continued in time is accumulated and stored in the storage unit 27.

  The reason why the activity amount AA calculated in the watching process described so far is an index that appropriately represents the activity amount of the resident 4 will be described in detail here.

  For example, when the resident 4 operates the electric device 13 such as turning on the power, the power consumption until the operation is stabilized includes waveforms with various periods of several seconds to several tens of seconds. In addition, in the daily activities of the resident 4 such as cooking and cleaning, various electrical devices 13 may be turned on and off at irregular timings. In this case, the power consumption is from several tens of seconds to several minutes. Waveforms with various periods are included.

  On the other hand, even when the electric device 13 is powered on, if the electric device 13 is operating stably, the period of the waveform included in the power consumption is usually almost constant. Therefore, a large activity amount AA indicates that the occupant 4 has a high possibility of operating the electric device 13, and a small activity amount AA (including the case where the occupant is zero) includes the resident 4 operating the electric device 13. This means that there is a high possibility that

  The electric device 13 is operated when the resident 4 is active. Therefore, the large activity amount AA represents that the resident 4 is likely to be active in the dwelling unit 3. In consideration of the fact that the electric device 13 is generally used in every scene of daily life, a small amount of activity AA, if it lasts longer than a certain time (several tens of minutes to several hours), the resident 4 Indicates that there is a high possibility that is not active in dwelling unit 3. The case where the dwelling unit 3 is not active is, for example, when the person is out of office, sleeping, or when there is a danger to the person such as sudden illness.

  Here, for example, some electrical devices 13 automatically switch between operation and stop. For example, an air conditioner (cooling operation) and an electric refrigerator are stopped when the temperature of the space to be adjusted falls below the set temperature (thermo OFF), and the temperature of the space falls from the set temperature. If it deviates, it will operate (Thermo ON). Even such automatic switching has an effect on the amount of activity AA.

  However, since automatic switching is mechanical, it often has a substantially constant cycle. Therefore, the influence of automatic switching on the activity amount AA is small. That is, although the amount of activity AA is increased by automatically switching between operation and stop of the electrical device 13, the amount of change is clearly smaller than that due to the operation of the resident 4.

  In particular, in the case of an electric device 13 that is always in operation, such as an electric refrigerator, if the threshold value TH is set appropriately, the influence on the activity amount AA due to switching between operation and stoppage of the electric device 13 can be almost eliminated. it can.

  Therefore, even if the electrical device 13 includes one that automatically switches between operation and stop, as described above, a large activity amount AA indicates that the resident 4 is active in the dwelling unit 3, A small amount of activity AA that lasts for a long time indicates that the resident 4 is not active in the dwelling unit 3. Thus, the activity amount AA accurately represents the activity amount of the resident 4 through the operating state of the electrical device 13 regardless of the type of the electrical device 13 used in the dwelling unit 3.

  Further, in order to calculate the activity amount AA, the moving average MA is calculated from the frequency component FC. By calculating the moving average MA, the influence of temporal shifts in the window width of the moving average, measurement errors, and abnormal values due to external factors is reduced to quantify the tendency of changes in each frequency component FC. can do. Therefore, by calculating the activity amount AA via the moving average MA, it is possible to calculate the activity amount AA that more accurately represents the activity amount of the resident 4.

  For example, if there is a time zone in which the activity amount AA increases within one day, the resident 4 can be determined to be safe. For example, when a small amount of activity AA continues, it can be determined that a danger has occurred in the resident 4. Here, for how long a small amount of activity AA lasts, it can be determined that the resident 4 can be judged to be in danger by taking into account the change in the amount of activity AA of the resident 4 It is good to be done. For example, when the small amount of activity AA continues for several days or more, it can be determined that the danger of the resident 4 has occurred.

  However, it may be determined that a danger has occurred in the resident 4 based on a small amount of activity AA that lasts for a relatively short period of time, such as several hours. When the activity amount AA changes with a small value (for example, about 0 to 3 if the activity amount AA can take a value of 0 to 9 as in the embodiment), as can be seen from the above description. The resident 4 is not active, and there is a high possibility that the electric device 13 that automatically switches between operation and stop is turned on. For example, it is assumed that the midnight activity amount AA of the resident 4 whose midnight activity amount AA is usually 0 changes on a certain day, with a small value (eg, 1 to 3) other than 0. In this case, unlike the usual case, the resident 4 is more likely to leave the electric device 13 such as an air conditioner turned on, and it is determined that the resident 4 is in danger. be able to.

  Thus, the activity amount AA can be an index that accurately represents the activity amount of the occupant 4 through the operating state of the electrical device 13. Therefore, the safety of the resident 4 can be accurately determined by referring to the activity amount AA.

  FIG. 9 is a flowchart showing a flow of transmission processing executed by the watching device 5. The transmission process shown in the figure is executed periodically (for example, every 10 minutes) by the transmission unit 28 while the monitoring device 5 is powered on, for example.

  The transmission unit 28 acquires the activity amount data 32 from the storage unit 27 (step S301). The activity amount data 32 acquired here is data stored in the storage unit 27 after the previous activity amount data acquisition process (step S301) is executed. The activity amount data 32 acquired in the previous activity amount data acquisition process (step S301) can be determined, for example, by the transmitter 28 holding the last measurement time T of the activity amount data 32.

  The transmission unit 28 generates collected data in which a house ID is associated with the acquired activity data 32. The transmission unit 28 transmits the generated collected data to the management device 6 via the communication line 7 (step S302).

  FIG. 10 is a flowchart showing the flow of display processing executed by the management apparatus 6. The display process shown in the figure is repeated while the management apparatus 6 is powered on, for example.

  The receiving unit 41 receives the collected data including the house ID from the monitoring device 5 via the communication line 7 (step S401). The receiving unit 41 outputs the received collected data to the storage unit 42.

  The storage unit 42 acquires the collected data output from the receiving unit 41. The storage unit 42 accumulates and stores the acquired collected data 51 (step S402).

  The display control unit 44 acquires the collected data 51 from the storage unit 42, for example, every 10 minutes (step S403). The collected data 51 acquired here includes the activity amount data 32 of each dwelling unit 3 whose measurement time T is included in a predetermined period (for example, 24 hours).

  The display control unit 44 causes the display unit 43 to display the transition of the activity amount AA of each dwelling unit 3 indicated by the acquired collection data 51 as shown in FIG. 1 (step S404).

  In this way, a series of activity data generated by the monitoring device 5 of each dwelling unit 3 is collected by the management device 6 via the communication line 7. Then, the activity amount AA of each dwelling unit 3 indicated by the collected activity amount data is displayed on the management device 6. Therefore, the manager 14 can confirm the safety of the resident 4 of each dwelling unit 3.

  Moreover, the display control part 44 displays transition of activity amount AA of each dwelling unit 3 with a graph. Thereby, the manager 14 can easily recognize the transition of the activity amount AA of each dwelling unit 3, and can easily determine the safety of the resident 4 based on the change. When the manager 14 determines that the resident 4 is in danger, the manager 14 can immediately take measures such as visiting the dwelling unit 3.

  Moreover, the management apparatus 6 displays the transition of the activity amount AA almost in real time. Therefore, when a danger has actually occurred in the resident 4, it is possible to detect the danger at an early stage.

  FIG. 11 shows an example of a physical configuration of the watching device 5. As shown in the figure, the monitoring device 5 includes a clock chip 61, a power consumption measuring unit 62, a CPU (Central Processing Unit) 63, a ROM (Read Only Memory) 64, and a RAM (Random Access Memory) 65. An HDD (Hard Disc Drive) 66 and a communication unit 67. These elements 61 to 67 are connected via an internal bus 68.

  The timekeeping chip 61 is an example of the timekeeping unit 21, and is a chip that has a crystal resonator and measures time, for example. The power consumption measurement unit 62 is an example of the power consumption measurement unit 22 and has, for example, a clamp-type current sensor, voltage sensor, and the like to measure power consumption and output data including the measurement result.

  The CPU 63 performs various processes. The ROM 64 stores a software program for starting up the CPU 63 and the like. The RAM 65 holds data that is referred to when the CPU 63 executes processing. The HDD 66 is an example of the storage unit 27 and stores various data. The communication unit 67 is an example of the transmission unit 28, and controls data transmission / reception between the monitoring device 5 and the management device 6.

  For example, the power consumption data generation unit 23, the extraction unit 24, the moving average calculation unit 25, and the activity amount calculation unit 26 are realized by a function exhibited by the CPU 63 that executes a software program stored in the HDD 66. Note that all or part of the power consumption data generation unit 23, the extraction unit 24, the moving average calculation unit 25, and the activity amount calculation unit 26 may be realized by, for example, a dedicated processor having the function. Further, the watching device 5 may include other auxiliary storage devices such as a flash memory as the storage unit 27 in addition to or instead of the HDD 66.

  FIG. 12 shows an example of the physical configuration of the management apparatus 6. As shown in the figure, the management device 6 includes a CPU 70, a ROM 71, a RAM 72, an HDD 73, a display panel 74, and a communication unit 75. These elements 70 to 75 are connected via an internal bus 76.

  The CPU 70 performs various processes. The ROM 71 stores a software program for starting the CPU 70 and the like. The RAM 72 holds data referred to when the CPU 70 executes processing. The HDD 73 is an example of the storage unit 42 and stores various data. The display panel 74 is an example of the display unit 43, and is a liquid crystal panel that displays a screen. The communication unit 75 is an example of the reception unit 41, and controls data transmission / reception between the management device 6 and the monitoring device 5.

  For example, the display control unit 44 is realized by a function exhibited by the CPU 70 that executes a software program stored in the HDD 73. The display control unit 44 may be realized by a dedicated processor having the function, for example. Further, the management device 6 may include other auxiliary storage devices such as a flash memory as the storage unit 42 in addition to or instead of the HDD 73.

  As mentioned above, although embodiment of this invention was described, this invention is not limited by embodiment. The present invention includes a combination of the embodiments and the following modifications as appropriate, and includes equivalents thereof.

  For example, the watching device 5 is not limited to each dwelling unit 3 of the apartment house 2 but may be provided in a detached house. In addition, the management device 6 is provided in a building other than the dwelling unit 3 to be watched over, for example, in a case where a person who watches the safety of the resident 4 is a business providing a nursing care service, etc. May be. The watching device 5 and the management device 6 may be connected so as to be communicable, and the communication line 7 may include a WAN (Wide Area Network) or the like.

  For example, the power meter 10 may be used for the power consumption measurement unit 62, for example. According to this, all the power consumption in each dwelling unit 3 can be measured with one power consumption measurement unit 62 similarly to the embodiment, and the configuration of the watching device 5 can be simplified. Moreover, the power consumption data generation part 23 totals all the power consumption in each dwelling unit 3, for example, the power consumption which the measurement data output from the power consumption measurement unit 62 provided in each of the branched indoor wiring 12 shows. May be measured.

  Further, for example, the moving average calculation unit 25 calculates a simple moving average, but various moving averages such as a weighted moving average (weighted moving average) may be employed. Even when the simple moving average is adopted, the number N (window width) for averaging may be adjusted for each frequency F in order to calculate the moving average at each measurement time T. Various methods can be adopted as a specific method for calculating the moving average in this way. By calculating the moving average using an appropriate method, the trend of changes in each frequency component can be quantified by reducing the temporal shift in the window width of the moving average, the influence of abnormal values due to measurement errors, and external factors. Can be This makes it possible to calculate an activity amount AA that more accurately represents the activity amount of the resident 4.

  Further, for example, the activity amount calculation unit 26 generates binary data from each frequency component data without using the moving average data, that is, using each frequency component FC itself as a value representing the transition of each frequency component, and generates the activity data. Data may be generated. Specifically, for example, the activity amount calculation unit 26 generates binary data for each frequency F by comparing the frequency component FC with a predetermined threshold TH corresponding to each frequency F to generate an activity. It is good to generate quantity data. According to this, since the moving average calculation part 25 becomes unnecessary, a structure can be simplified rather than embodiment.

  Further, for example, the transmission unit 28 may acquire the activity amount data 32 from the activity amount calculation unit 26 without using the storage unit 27. In this case, the transmission unit 28 may transmit the activity amount data 32 to which the house ID is added each time it is acquired. Moreover, the transmission part 28 may hold | maintain the acquired active mass data 32, and may add and transmit a house ID, whenever the active mass data 32 which hold | maintains reaches predetermined amount.

  Further, for example, the manager 14 may specify the dwelling unit 3 and the period for displaying the activity amount on one screen of the display unit 43 by operating the input unit 71 of the management device 6. Thereby, the manager 14 can enlarge and view the activity amount of the desired dwelling unit 3, or can compare and view the activity amount of the desired dwelling unit 3 in the same time zone on different days. Therefore, it is possible to easily determine the safety of the resident 4 of the dwelling unit 3.

  Further, for example, after the activity amount data acquisition process (step S301), the transmission unit 28 determines whether the activity amount AA represented by the acquired activity amount data 32 is 0 or sufficiently small (smaller than the threshold value). Also good. When it is determined that the activity amount AA is 0 or sufficiently small, the transmission unit 28 holds information indicating that the activity amount AA is 0 or sufficiently small, and the activity amount AA of 0 or sufficiently small is predetermined time ( For example, warning data may be generated when it continues for 24 hours. The warning data includes, for example, character information for indicating that 0 or a sufficiently small amount of activity AA continues such as “activity is not seen for a long time”.

  When the warning data is generated, the transmission unit 28 transmits the warning data together with the collected data to the management device 6 in the collected data transmission process (step S302), and then deletes the warning data held by itself. To do.

  When the warning data is transmitted together with the collected data, the receiving unit 41 receives the collected data and the warning data in the collected data receiving process (step S401), and outputs them to the storage unit. The storage unit 42 acquires, accumulates, and stores the collected data and warning data output from the receiving unit 41 in the collected data accumulation process (step S402).

  When the collected data and the warning data are accumulated, the display control unit 44 acquires the collected data and the warning data in the collected data acquisition process (Step S403), and is included in the collected data and the warning data in the display process (Step S404). The contents are displayed on the display unit 43. In this display process, the content of the warning data is displayed on a graph representing the content of the collected data. More specifically, in the graph, the character string representing the content of the warning data is displayed such that the center thereof is positioned on the time when the warning data is received.

  Thus, by generating the warning data and displaying the contents, it is possible to easily detect that the resident 4 is in danger.

DESCRIPTION OF SYMBOLS 1 Watching system 3 Dwelling unit 4 Resident 5 Watching device 6 Management device 7 Communication line 8 Distribution board 9 Commercial power supply 10 Power meter 11 Feeding line 12 Indoor wiring 13 Electric equipment 14 Manager 15 Manager's room 21 Timekeeping part 22 Power consumption measurement Unit 23 power consumption data generation unit 24 extraction unit 25 moving average calculation unit 26 activity amount calculation unit 27 storage unit 28 transmission unit 41 reception unit 42 storage unit 43 display unit 44 display control unit

Claims (6)

It has a monitoring device and a management device connected via a communication line,
The monitoring device is:
Power consumption measuring means for measuring the power consumption of the house at predetermined intervals;
Extraction means for extracting a plurality of frequency components at each measurement time from the transition of the measured power consumption;
The number representing the number of frequencies greater than a predetermined threshold value corresponding to each frequency and representing the transition of each extracted frequency component is counted for each measurement time, and the occupants of the house at each measurement time Activity amount calculating means for generating activity amount data indicating an activity amount by the counted value;
Transmission means for transmitting the generated activity amount data via the communication line,
The management device
Receiving means for receiving the transmitted activity data via the communication line;
And a display control means for displaying a change in a value indicated by the activity amount data. The activity amount calculating means counts, for each measurement time, the number of frequencies at which the values of the extracted frequency components at the same measurement time are greater than the threshold values, and the resident of the house at each measurement time. The monitoring system according to claim 1, wherein the activity amount data indicating the activity amount of the activity is generated by the counted value. A moving average calculating means for calculating a moving average of each frequency component at each of the extracted measurement times ;
The activity amount calculation means, the moving average value at the same measurement time of the moving average calculated by the calculating means counts the number of frequency greater than the respective threshold value for each of the respective measurement time, the in each measurement time The monitoring system according to claim 1, wherein activity data indicating an activity amount of a resident of the house is generated by the counted value. The monitoring system according to any one of claims 1 to 3, wherein the display control means displays the change in the value as a graph. Power consumption measuring means for measuring the power consumption of the house at predetermined intervals;
Extraction means for extracting a plurality of frequency components at each measurement time from the transition of the measured power consumption;
The number indicating the frequency of each extracted frequency component that is greater than a predetermined threshold associated with each frequency is counted for each measurement time , and An activity amount calculating means for generating activity amount data indicating an activity amount by the counted value. Extracting multiple frequency components at each measurement time from the power consumption of the house,
A value indicating the transition of each extracted frequency component is counted for each measurement time, and the number of frequencies greater than a predetermined threshold associated with each frequency is counted.
Activity amount data indicating the activity amount of the resident of the house at each measurement time by the counted value is generated.

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