JP7523364B2 - Operation status management system - Google Patents

Description

The present invention relates to an operation status management system.

The Home Energy Management System (HEMS) is known as a system that helps save electricity used at home and use it efficiently. HEMS is a system that aims to monitor and automatically control the amount of energy, such as electricity, consumed by equipment such as air conditioners and heating and cooling, and the usage status of power generation equipment such as solar panels.

Patent Literature 1 describes an energy management system equipped with a HEMS controller. In this energy management system, when power consumption increases and the power supply becomes tight, or when power generation temporarily increases and the power supply becomes excessive, a power company sends a request for adjusting the power consumption to a centralized management system. The centralized management system is connected to the power company and the HEMS controllers installed in each home via a communication network, and controls household appliances via the HEMS controller installed in each home in response to a request from the power company.
Furthermore, apart from the above-mentioned Patent Document 1, a method for stably supplying power in the event of a disaster has been proposed (see, for example, Patent Document 2).

JP 2014-120030 A JP 2008-245454 A

In recent years, natural disasters such as storms and floods have caused a lot of damage to homes, and power outages can occur during natural disasters.

One solution is to supply power to prevent power outages, as in the invention described in Patent Document 2, but it is difficult to reliably supply power to all homes, and if power equipment is damaged or submerged in water, it becomes difficult to supply power.

In this way, when a disaster occurs, power equipment may not operate normally during a power outage or after the power is restored, and if residents do not notice an abnormality in the power equipment, it may be left in that abnormal state.

Therefore, if an abnormality occurs in the operation of residential power equipment during a disaster, it is desirable to quickly and accurately grasp the extent of the damage and take early action according to the damage.

This disclosure was made with a focus on the above-mentioned problem, and aims to provide an operation status management system that makes it possible to grasp the situation early when a malfunction occurs in the operation status of power-related equipment in a home.

To achieve the above objective, the operation status management system of the present disclosure includes a server that is communicatively connected to the controllers of multiple homes that are equipped with electric power equipment including at least one of a storage battery and a solar power generation device, and a controller that receives data indicating the operating status of the electric power equipment, and receives and records data indicating the operating status from the controller.

The server includes a power outage determination unit that determines a power outage state based on the data indicating the operating state received from the controller, an operation analysis unit that analyzes at least one of the operating status of the power equipment during the power outage and the operating status after the power is restored based on the data indicating the operating state, and a display processing unit that displays the results of the analysis on a display unit.

The operation status management system disclosed herein uses a power outage determination unit and an operation analysis unit to determine the power outage state and analyze the operation status of power equipment after the power is restored, making it possible to grasp the situation early if a problem occurs in the operation status of power-related equipment in a home.

1 is an overall view showing an overview of an operational status management system according to an embodiment; 1 is a sequence diagram showing a flow of processing by an operational status management system according to an embodiment. FIG. 1 is a flowchart showing a flow of a power outage determination process in an operation status management system according to an embodiment. 11 is an explanatory diagram of the relationship between labels and details in the display of a power outage determination result by the operation status management system of the embodiment. FIG. FIG. 2 is an explanatory diagram of an overview of an operational status analysis performed by the operational status management system according to the embodiment. 1 is an explanatory diagram of the relationship between a power outage situation, an analysis result of the operational status of a storage battery, and the display content of the response thereto, according to an embodiment of the operational status management system. 1 is an explanatory diagram of the relationship between a power outage situation, an analysis result of the operational status of a storage battery of a photovoltaic power generation device, and the display content of the corresponding response, according to an embodiment of the operational status management system. 1 is an explanatory diagram of the relationship between emergency outlet connection data, data within the power generation time of a photovoltaic power generation device, history storage timing data, and corresponding operation determination (analysis result) according to an embodiment of the operation status management system. FIG. 13 is a flowchart showing a main part of a flow of a power outage determination process by an operation status management system according to a modified example of an embodiment.

Hereinafter, an embodiment of the operation status management system of the present disclosure will be described.
FIG. 1 is an explanatory diagram showing an overview of an operational status management system according to an embodiment.
This operational status management system is a system having a first management unit 200 that can communicate with a controller 110 of a home 100 that constitutes a so-called HEMS via a communication network NE, and a second management unit 300 that can communicate with this first management unit 200.

In addition, an information distribution board 120 is interposed between the controller 110 and the communication network NE. This information distribution board 120 aggregates communication functions inside and outside the house, and has a power measurement function to monitor the power supply and consumption status in the house 100. Also, although only one house is shown as the house 100 in FIG. 1, the first management unit 200 is connected to the controllers 110 of multiple houses 100.

The house 100 is equipped with a solar power generation device 130, a storage battery 140, and a power conditioner 150 as power equipment. The power conditioner 150 controls the charging and discharging of a storage battery (not shown) installed in the electric vehicle EV. The house 100 is also equipped with an air conditioner 160 and a hot water heater 170 as power consumption devices that consume power. The electric vehicle EV refers to a vehicle equipped with a rechargeable storage battery, and includes hybrid vehicles.

The controller 110 monitors the operating status of the solar power generation system 130, the storage battery 140, the power conditioner 150, the air conditioning system 160, and the hot water supply system 170, and measures data indicating these operating statuses 24 hours a day (see Figure 2).

The first management unit 200 includes a NAVI server (first server) 210 and a first database 220.

The NAVI server 210 manages the control of power equipment and power consumption devices by the controller 110. As shown in FIG. 2, data is collected from the controller 110 at a specified time each day (between 0:00 and 10:30 in the first embodiment) and recorded in the first database 220.

The first management unit 200 continuously executes control to keep the living environment in each house 100 comfortable based on data acquired by the NAVI server 210. As part of the control to keep the living environment comfortable, for example, an operation plan for the air conditioner 160 and hot water heater 170 is created based on the weather forecast information for the next day and the schedule input by the resident of each house 100, and control is performed to automatically operate these devices based on the operation plan. It is also possible to monitor the power consumption status and perform control to provide advice on better power consumption status.

In this way, the first management unit 200 manages the control of the power equipment of the house 100, and is continuously managed by, for example, a house manufacturer. In addition, the first management unit 200 can be accessed by the first person in charge AD1 of the first manager using an information terminal 230 such as a personal computer to input and output data.

The second management unit 300 is managed by a second administrator who performs maintenance on the power equipment in the house 100, i.e., in the event of a breakdown, visits the house 100 to make repairs and provides the residents with the most appropriate response method via the communication network NE.

The second management unit 300 includes a SIFT aggregation server (second server) 310, a second database 320, and a SIFT public server (second server) 330. The SIFT aggregation server 310 receives data collected from the controller 110 of each residence 100 on the day from the NAVI server 210 at a predetermined time every day (in this embodiment, a time later than the time the NAVI server 210 receives data from the controller 110 (e.g., 10:40)), and records the data in the normal time database 321 of the second database 320.

The second database 320 also includes a disaster analysis results database 322 for storing analysis results during disaster investigations.

The SIFT public server 330 is used to view the data in the second database 320. The second person in charge AD2 can view the data in the normal database 321 and the disaster analysis result database 322 using an information terminal 340 such as a personal computer.

For example, the second person in charge AD2 can use the information terminal 340 to output a request to extract necessary data as shown in FIG. 2, and extract the necessary data from the normal time database 321. Also, when the second person in charge AD2 wants to download necessary measurement data using the information terminal 340, he or she can output a request to extract the measurement data, and extract and download the necessary measurement data from the normal time database 321.

Furthermore, in the event of a disaster, the second person in charge AD2 can use the information terminal 340 to request that the operation status analysis process described below be executed (see Figure 2).

(Explanation of disaster investigation)
The second person in charge AD2 can use the second management unit 300 to analyze the operating status of electric appliances as part of a disaster investigation of the customer's house 100 in the event of a disaster.

The following describes the operations performed by the second person in charge AD2 when conducting this disaster investigation, and the processing performed by the second management unit 300 in response to these operations.

When a disaster occurs, the second person in charge AD2 connects to the SIFT public server 330 from the information terminal 340 and requests the start of a disaster investigation.

In response to a disaster investigation start request, the SIFT public server 330 performs an operation status analysis based on the data stored in the second database 320. Details of the operation status analysis will be described later. The operation status analysis results are then displayed on the display screen of the information terminal 340.

The operation status analysis results are stored in the disaster analysis results database 322 of the second database 320. The first operation status analysis is performed in response to a disaster investigation start request from the second person in charge AD2, but thereafter, it is performed every day at the analysis update time, which is a predetermined time after the information update time from the NAVI server 210, and the latest analysis results are stored in the second database 320. The analysis update time is a time (e.g., 11:00) later than the time (e.g., 10:40) when data is received from the NAVI server 210.

Therefore, the second person in charge AD2 can check the latest operational status analysis results and take action after the analysis update time has passed.

(Explanation of operation status analysis process)
Next, the operational status analysis process in the second management unit 300 will be described.
<Power outage determination>
First, the flow of the process of determining a power outage in the operation status analysis process will be described with reference to the flowchart in Fig. 3. That is, during a power outage, data cannot be received from the HEMS controller 110. Then, after the power outage is restored, acquisition of data including data during the power outage is resumed.

Therefore, the second management unit 300 determines the power outage state based on the data reception status during and after the power outage is restored.

In the first step S101, it is determined whether or not it is the day the disaster occurred. Here, the determination of whether or not it is the day the disaster occurred is made based on whether or not it is the day (first day) when the second person in charge AD2 executed the request for disaster operation status analysis. Then, if it is the day the disaster occurred (yes), the process proceeds to step S102 and it is determined that the "power outage status is unknown." In other words, because data is sent from the controller 110 to the NAVI server 210 with a one-day delay, on the day the disaster occurred, data indicating the disaster status is not available and a determination cannot be made, so it is determined that the "power outage status is unknown."

On the other hand, from the day after the disaster occurred on which the disaster operation status analysis request was executed, a negative judgment is made in step S101, and the process proceeds to step S103. Then, in step S103, it is asked whether the "power outage status unknown" was judged on the previous day, and if it is negative, the process proceeds to step S104. Also, if it was judged that the "power outage status unknown" on the previous day (positive), if this judgment is the first time, the process proceeds to step S105, and if it is the second time or later, the process proceeds to step S109.

In step S104, which is reached if the power outage status was not determined to be "unknown" on the previous day, the same determination result as on the previous day is maintained and displayed.

In step S105, which is reached if the "power outage status is unknown" was determined the previous day and this is the first determination, it is determined whether or not the state is "equipment monitoring detected." If there is detection (yes), the process proceeds to step S106, and if there is no detection (no), the process proceeds to step S107. Note that "equipment monitoring detected" is determined when there is a communication failure with either the controller 110, the power equipment, or the information distribution board 120.

In step S106, which is performed when "equipment monitoring detection" is in a detection state, it is determined that "power outage determination is impossible." In other words, in this case, some data was missing even before the disaster occurred, and an accurate power outage determination cannot be made, so it is determined that "power outage determination is impossible."

On the other hand, in step S107, which is reached when "equipment monitoring detection" has not been performed, the power status is checked based on data from a specified time on the day before the disaster (in this case, it is preferable to be close to the end of the previous day, which is 11pm in this embodiment). This power status check checks data on power purchases, power sales, power consumption within the home (self-consumption), and charging/discharging of the storage battery 140. If all data is "0" or "missing", this check proceeds to step S108 as an abnormality, otherwise it is determined to be normal and proceeds to step S109.

Then, in step S108, which is reached if step S107 determines that the system is abnormal, it determines that "power outage determination is not possible." In other words, if data is missing before the disaster occurs, it is not possible to make an accurate determination, and so it is determined that "power outage determination is not possible."

If it is determined in step S107 that all data is normal, the process proceeds to step S109, which determines whether or not there is any data loss for the most recent day. If there is any data loss, the process proceeds to step S110, and if there is no data loss, the process proceeds to step S111.

In step S110, which is performed if the most recent data is missing, the power outage status is determined to be unknown. In other words, in this case, since no data has been recorded for the most recent day, the communication status has not been restored, and the power outage status is deemed to be unknown and the system is monitored.

In step S111, which is reached if there are no missing data for the most recent day, data on power purchases and sales during the power outage, power consumption within the home (self-consumption), and charging and discharging of the storage battery 140 are checked. Then, if all types of data for all types include "0 only", "missing only", or "mix of 0 and missing data" even for one hour, the process proceeds to step S112, where it is determined that "power outage occurred and recovery has been completed". In this case, the "type of power outage" is also recorded. Here, there are three types of "type of power outage", namely "0 only", "missing only", and "mix of times of 0 and times of missing data".

On the other hand, if none of the types of all data of all types are "0 only", "missing only", or "mix of 0 and missing", the process proceeds to step S113 and determines that there is "no power outage". This determination in step S111 targets only the "data linked on the most recent day". In other words, if communication has not been restored, past data may be updated, but by targeting the "data linked on the most recent day", an accurate determination can be made.

Figure 4 shows the relationship between the labeling of the power outage determination results described above and the details. That is, as one power outage situation in the disaster investigation results, this labeling and its details are displayed on the screen of the information terminal 340 as the power outage situation of each residence 100.

In the case where "Power outage, restored" is added as the label based on the process of S112, the details are displayed as "There was a period of abnormal power amount from the disaster occurrence date to the present." In addition, after the power outage is restored, the start date and end date of the period during which the power outage occurred are displayed.
If "no power outage" is added as the labeling based on the processing of S113, the details displayed are "the amount of power has been normal from the day the disaster occurred to the present."
If the labeling is given as "Power outage status unknown (to be updated after communication is restored)" based on the processing of S110, the details will be displayed as "Power outage is continuing or there is an abnormality in the communication path from the home to the NAVI."
If the labeling is given as "Power outage cannot be determined (monitoring detected before the disaster)" based on the processing of S106, the details will be displayed as "HEMS communication failure/storage battery stoppage has occurred since before the disaster."

If the labeling is given as "Power outage determination impossible (data missing before the disaster occurred)" based on the processing of S108, the details will be displayed as "Abnormality occurred at 23:00 the day before the disaster."

<Operation status analysis>
The analysis of the operation status of the power equipment will be described in detail below with reference to FIG.

First, an analysis of the latest operating status of the storage battery 140, that is, an analysis of whether or not the storage battery 140 is operating normally after recovery from a power outage, will be described.
In this case, if the charge amount is greater than 0 or the discharge amount is greater than 0 based on the daily data, the operating status is analyzed as normal (◯). On the other hand, if the charge amount is 0 and the discharge amount is 0, the operating status is analyzed as abnormal (×). Furthermore, if data related to the storage battery 140 is missing, the operating status is analyzed as unknown. In addition to the analysis result of normality or abnormality, the information terminal 340 displays the values of the charge amount and discharge amount.

Next, an analysis of the latest operational status of the photovoltaic power generation device (PV) 130 after recovery will be described.
In this case, if the amount of power generation is greater than 0 based on the daily data, the operating status is analyzed as normal (◯). On the other hand, if the amount of power generation is 0, the operating status is analyzed as abnormal (×). Also, if there is missing data, the operating status is analyzed as unknown. The information terminal 340 displays the value of the amount of power generation in addition to the analysis result of normality or abnormality.

Next, an analysis of the operating status of the power conditioner 150 in the electric vehicle after recovery will be described.
In this case, the analysis and display will differ depending on whether or not the power conditioner 150 is installed in the house 100 .

When the power conditioner 150 is installed, if the amount of charge or discharge via the power conditioner 150 is greater than 0 based on the daily data, the operating status is analyzed as normal (◯). Otherwise, the operating status is analyzed as unknown. In addition to the analysis result of normality or abnormality, the information terminal 340 displays the values of the amount of charge and discharge to the electric vehicle EV.
On the other hand, if the power conditioner 150 is not installed, then no analysis is performed and simply "." is displayed.

Next, analysis of the operating status of the storage battery 140 during a power outage will be described.
In this case, if the system is operating in an autonomous mode during a power outage, the system is analyzed as being normal. Note that the autonomous mode is executed by manually switching the mode by the resident.

On the other hand, if independent operation is not being performed, and charging or discharging has occurred for even one hour based on the hourly data, it is analyzed as normal, and otherwise it is analyzed as abnormal. The information terminal 340 will display "Judgement based on operation mode" and "Judgement based on charge/discharge amount."

In addition, the information terminal 340 displays the charging period, which is the period during which data is missing or the period during which all data values are "0".

(Example of correspondence display)
In addition to displaying the above-mentioned analysis results, the second management unit 300 preferably displays a response method on the screen of the information terminal 340 .

Figure 6 shows an example of a display of a response method according to the power outage situation and the operating status of the storage battery 140 (the latest storage battery operating status and the storage battery operating status during the power outage).

If a power outage occurs and has since been restored, and the latest battery operation status is normal, no action is required regardless of whether the battery operation status during the power outage was normal, abnormal, or unknown.

Next, if a power outage occurs and has since been restored, and the latest battery operation status is abnormal but the battery operation status during the power outage was normal, the following message will be displayed as a response: "The battery is currently abnormal. Please contact the customer."

If a power outage occurs and has since been restored, and the most recent battery operation status and the battery operation status during the power outage are abnormal, the following message will be displayed as a response: "The battery is abnormal both at the time of the power outage and at the current time. Please contact the customer."

If a power outage occurs and has since been restored, and the latest battery operation status is abnormal, and the battery operation status during the power outage is unknown, the following message will be displayed as a response: "The battery is abnormal both at the time of the power outage and at the current time. Please contact the customer."

If a power outage occurs and has since been restored, and the latest battery operation status is unknown, and the battery operation status during the power outage is normal, abnormal, or unknown, the message "There may be an abnormality in the HEMS. Please contact the customer" will be displayed as a response.

If no power outage has occurred, "No action required" will be displayed. Furthermore, if the power outage situation is unknown, "Continue monitoring until communication is restored" will be displayed, and if power outage analysis is not possible, "Not subject to disaster operation management" will be displayed.

Next, based on FIG. 7, we will explain how to display the response method according to the power outage situation and the operating status of the solar power generation device 130.

If a power outage occurs and has since been restored, and the solar power generation equipment is operating normally, the message "No action is required as it is operating normally" will be displayed.

If a power outage occurs and has since been restored, and the solar power generation equipment is not operating normally, the message "At this time, the solar power generation equipment (PV) is abnormal or outside of power generation hours. Please contact the customer." will be displayed.

If a power outage occurs and has since been restored, and the operating status of the solar power generation equipment is unknown, the message "There may be an abnormality in the HEMS. Please contact the customer." will be displayed.

If there is no power outage, "No action required" will be displayed. Furthermore, if the power outage status is unknown, "Monitor until communication is restored" will be displayed, and if it is not possible to determine whether there is a power outage, "Not subject to disaster operation management" will be displayed.

If no power outage has occurred, the message "No action required" will be displayed.

The relationship between the emergency outlet connection data, the photovoltaic power generation time data, the history storage timing data, and the corresponding operation determination (analysis result) is shown in a list in FIG. 8. Here, the emergency outlet is an outlet that is provided in the storage battery 140 and can use the power of the storage battery 140 and the photovoltaic power generation device 130 during a power outage.

The effects of the embodiment are listed below.
(1) The operation status management system according to the embodiment includes a NAVI server 210, a SIFT aggregation server 310, and a SIFT disclosure server 330. The NAVI server 210 is communicatively connected to the controllers 110 of a plurality of homes 100, each of which includes power equipment including a storage battery 140, a solar power generation device 130, and a power conditioner 150, and a controller 110 that receives data indicating the operation status of the power equipment within the home 100, and receives and records data indicating the operation status from the controller 110.

The SIFT public server 330 includes a power outage determination unit that determines the power outage state shown in FIG. 3 based on data indicating the operating state received from the controller 110, an operation analysis unit that analyzes the operating status of the power equipment during the power outage and the operating status after the power is restored based on the data indicating the operating state, and a display processing unit that displays the results of the analysis on the screen of the information terminal 340.

Therefore, after the power outage is restored, the operating status of power equipment such as the storage battery 140, the solar power generation device 130, and the power conditioner 150 during the power outage and after the power outage is restored can be known at an early stage. This makes it possible to prevent the power equipment from being left in an abnormal state. This also makes it possible to suppress the loss of economic benefits due to the storage battery 140 and the solar power generation device 130.

(2) In the embodiment of the operation status management system, the determination by the power outage determination unit of the SIFT public server 330 and the analysis by the operation analysis unit begin execution when a request to start a disaster investigation is received from the information terminal 340.
Therefore, even in a situation where data is not being sent due to the occurrence of a disaster, it is possible to start execution early and reliably.

(3) In the embodiment of the operation status management system, the determination by the power outage determination unit of the SIFT public server 330 and the analysis by the operation analysis unit are automatically performed periodically after a request to start a disaster investigation is received.
Therefore, when a disaster occurs, after the investigation is started quickly, the power outage determination and the analysis of the operation status are automatically performed, which is easier to use than the case where an investigation start request is required every time. In particular, in the first embodiment, the timing for the power outage determination and the analysis of the operation status is immediately after receiving data from the NAVI server 210, so that the data can be received and the determination and analysis can be performed without delay, allowing for early response.

(4) In the embodiment of the operation status management system, the power outage determination unit that performs the processing of FIG. 3 of the SIFT public server 330 uses the disaster occurrence date when a disaster investigation start request is made as a reference, and analyzes that a period during which data indicating the operation status is not sent from the controller 110 is a continuing power outage or that there is an abnormality in the communication path. Furthermore, if data indicating the operation status is sent from the controller 110 after a period during which no data is sent, and if the value of the data during the period during which no data is sent is 0 or missing, it is determined that recovery has been completed after the power outage occurred. Then, if the data indicating the operation status from the controller 110 is not interrupted, it is determined that there is no power outage. Therefore, the power outage duration and power outage status can be accurately determined based on the data sent after the power outage is restored.

(5) In an embodiment of the operation status management system, the operation analysis unit of the SIFT public server 330 analyzes the operation status of the storage battery 140 after recovery based on data indicating the operating status of the storage battery 140 obtained after recovery. In this analysis, if the charge amount and discharge amount are greater than 0, it is analyzed that the storage battery 140 is normal. If the charge amount and discharge amount are 0, it is analyzed that the storage battery 140 is abnormal. If data indicating the operating status of the storage battery 140 is missing, it is analyzed that the operating status is unknown.
Therefore, the operating state of the storage battery 140 after recovery can be accurately analyzed based on the data indicating the operating state of the storage battery 140 obtained after recovery.

(6) In the operation status management system according to the embodiment, the operation analysis unit of the SIFT public server 330 analyzes the operation status of the photovoltaic power generation device 130 after recovery based on data indicating the operation status of the photovoltaic power generation device 130 acquired after recovery. In this analysis, if the amount of power generation is greater than 0, the photovoltaic power generation device 130 is analyzed as normal, if the amount of power generation is 0, the photovoltaic power generation device 130 is analyzed as abnormal, and if data indicating the operation status of the photovoltaic power generation device 130 is missing, the operation status is analyzed as unknown.
Therefore, the operating state of the photovoltaic power generation device 130 after recovery can be accurately analyzed based on the data indicating the operating state of the photovoltaic power generation device 130 acquired after recovery.

(7) In the operation status management system according to the embodiment, the operation analysis unit of the SIFT public server 330 analyzes the operation status of the power conditioner 150 after recovery based on data indicating the operation state of the power conditioner 150 acquired after recovery. Then, based on the data indicating the operation state of the power conditioner 150 after recovery, the operation analysis unit analyzes that the power conditioner 150 is normal if the amount of charge to the electric vehicle EV or the amount of discharge from the electric vehicle EV is greater than 0, and analyzes that the power conditioner 150 is unknown otherwise.
Therefore, the operating state of the power conditioner 150 after recovery can be accurately analyzed based on the data indicating the operating state of the power conditioner 150 acquired after recovery.

(8) In the operation status management system according to the embodiment, the operation analysis unit of the SIFT public server 330 analyzes the operation status of the storage battery 140 during a power outage based on data indicating the operating state of the storage battery 140 acquired after recovery. In this analysis, if the storage battery 140 is operating independently in an isolated manner from the power grid during the power outage, the analysis is made to be normal, and if the storage battery 140 is not operating independently and the charge amount or discharge amount is greater than 0, the analysis is made to be abnormal otherwise.
Therefore, the operating status of the storage battery 140 during a power outage can be accurately analyzed based on the data indicating the operating status of the storage battery 140 obtained after recovery.

(9) The operation status management system of the embodiment includes a NAVI server 210 as a first server, a SIFT aggregation server 310 as a second server, and a SIFT public server 330 as a third server. The NAVI server 210 is communicably connected to the controller 110, and acquires data indicating the operation status of the power equipment from the controller 110 periodically (0:00 to 10:30) every day and records the data in the first database 220 as a first recording unit. The SIFT aggregation server 310 acquires data indicating the operation status of the power equipment from the NAVI server 210 periodically (10:40) and records the data in the second database 320 as a second recording unit. When a predetermined disaster investigation start request is received, the SIFT public server 330 performs a determination by the power outage determination unit and an analysis by the operation analysis unit.
Therefore, data can be collected quickly to conduct a disaster investigation by the SIFT public server 330. Also, while the SIFT public server 330 is performing extraction, determination, and analysis, the second server, the SIFT aggregation server 310, can be used by a user other than the second person in charge AD2.

In other words, if the servers 210, 310, and 330 have different administrators or users, when a disaster occurs and the second person in charge AD2 retrieves data from the NAVI server 210 to the SIFT compilation server 310 and uses the data to perform extraction, judgment, and analysis, these processes may take time if there are other users. In contrast, by performing the processes using the SIFT public server 330 independently of the SIFT compilation server 310, rapid processing is possible. Also, it is more effective to perform these processes automatically, as in (3) above.

(Modification of the embodiment)
Next, a modification of the above embodiment will be described, in which only the differences from the above embodiment will be described.

This modified embodiment is a modified example of the process for determining whether a power outage has occurred that follows step S109 in the flowchart of FIG. 3 (S111b in FIG. 9), and is an example in which the purchased power value and the sold power value are used as data whose value is 0 when determining whether a power outage has occurred.

Specifically, in step S111b of FIG. 9, the condition for proceeding to step S112 is that data is missing for a period in which no data is sent, or that the purchased power value and the sold power value of the data are both zero.

That is, in this modified example, the power outage determination unit of the SIFT public server 330 uses the disaster occurrence date when the disaster investigation start request was made as a reference and determines that the power outage is continuing or that there is an abnormality in the communication path during the period during which data indicating the operating status is not sent from the controller 110 (S110). Furthermore, if data indicating the operating status is sent from the controller 110 after the period during which no data is sent, and if data is missing during the period during which no data is sent or if both the purchased power value and the sold power value of the data are 0, it determines that recovery has been completed after the power outage (processing from S111b to S112). Then, if the data indicating the operating status from the controller 110 is not interrupted, it determines that there is no power outage (processing from S111b to S113).

Therefore, even in this modified example, the duration and state of the power outage can be accurately determined based on the data sent from the controller 110 after the power outage is restored.

The above describes an embodiment of the present invention with reference to the drawings, but the specific configuration is not limited to this embodiment, and design changes that do not deviate from the gist of the present invention are included in the present invention.

For example, in the embodiment, a house equipped with a storage battery, a solar power generation device, and a power conditioner is shown as power equipment, but this is not limited thereto, and it is sufficient if at least one of a storage battery and a solar power generation device is included.

In addition, in the embodiment, three servers are shown: a NAVI server, a SHIFT aggregation server, and a SHIFT public server. However, this is not limited to this, and a server that combines these into one or two may also be used.

In addition, in the embodiment, the operation status of the power equipment during a power outage and the operation status after the power outage is restored are analyzed, but this is not limited to this, and it is sufficient if at least one of the operation statuses, preferably the operation status after recovery, can be analyzed.

In addition, in the embodiment, the determination by the power outage determination unit and the analysis by the operation analysis unit are performed only the first time a request to start a disaster investigation is made, and are then performed automatically periodically. However, this is not limited to this, and the determination and analysis may be requested manually each time. In addition, the time for collecting data from the NAVI server and the time for performing the determination and analysis may be set arbitrarily, and are not limited to the times shown in the embodiment.

100 House 110 Controller 130 Photovoltaic power generation device (electric power device)
140 Storage batteries (power equipment)
150 Power conditioner (electrical equipment)
200 First Management Unit 210 NAVI Server (First Server)
220 First database (first recording unit)
300 Second management unit 310 SIFT aggregation server (second server)
320 Second database (second recording unit)
321 Normal time database 322 Disaster time analysis result database 330 SIFT public server (third server)
340 Information terminal (display unit)
NE Communication Network

Claims (10)

a server connected to a plurality of controllers of a plurality of homes so as to be communicatively connected thereto, the controllers including electric power equipment including at least one of a storage battery and a solar power generation device, and a server receiving and recording the data indicating the operating state of the electric power equipment from the controllers;
The server,
A power outage determination unit that determines a power outage state based on data indicating the operation state received from the controller;
an operation analysis unit that analyzes at least one of an operation status of the power equipment during a power outage and an operation status after the power outage is restored based on the data indicating the operation state;
a display processing unit that displays the results of the analysis on a display unit;
An operation status management system equipped with In the operation status management system according to claim 1,
The power outage determination unit is
Based on the date of occurrence of the disaster when the specified disaster investigation start request was made,
A period during which the data indicating the operating state is not transmitted from the controller is determined to be a period during which a power outage continues or an abnormality exists in the communication path;
When the data indicating the operating state is transmitted from the controller after a period in which the data is not transmitted, if the value of the data during the period in which the data is not transmitted is 0 or missing, it is determined that the power has been restored after the power outage has occurred;
An operation status management system that determines that there is no power outage if data indicating the operating status from the controller is not interrupted. In the operation status management system according to claim 1,
The power outage determination unit is
Based on the date of occurrence of the disaster when the specified disaster investigation start request was made,
A period during which the data indicating the operating state is not transmitted from the controller is determined to be a period during which a power outage continues or an abnormality exists in the communication path;
If the data indicating the operating state is sent from the controller after a period in which the data is not sent, if the data is missing during the period in which the data is not sent, or if the power purchase value and the power sale value of the data are both 0, it is determined that the power has been restored after a power outage has occurred;
An operation status management system that determines that there is no power outage if data indicating the operating status from the controller is not interrupted. In the operation status management system according to any one of claims 1 to 3,
the power device includes the storage battery;
The operation analysis unit analyzes an operation status of the storage battery after the recovery based on data indicating an operating state of the storage battery obtained after the recovery,
In this analysis, if the charge amount or discharge amount is greater than zero, the operation status management system analyzes that the storage battery is normal, if the charge amount or discharge amount is zero, the operation status management system analyzes that the storage battery is abnormal, and if data indicating the operating status of the storage battery is missing, the operation status management system analyzes that the operating status is unknown. In the operation status management system according to any one of claims 1 to 4,
the electric power equipment includes the solar power generation device,
The operation analysis unit analyzes an operation status of the photovoltaic power generation device after the restoration based on data indicating an operating state of the photovoltaic power generation device acquired after the restoration,
In this analysis, if the amount of power generated is greater than zero, the solar power generation system is analyzed as being normal, if the amount of power generated is zero, the solar power generation system is analyzed as being abnormal, and if data indicating the operating status of the solar power generation system is missing, the operating status is analyzed as being unknown. In the operation status management system according to any one of claims 1 to 5,
The electric power equipment includes a power conditioner that charges and discharges from a storage battery of an electric vehicle,
The operation analysis unit analyzes an operation status of the power conditioner after the recovery based on data indicating an operating state of the power conditioner acquired after the recovery,
The operation analysis unit analyzes, based on data indicating the operating status of the power conditioner after the recovery, that the power conditioner is normal if the amount of charge to the electric vehicle or the amount of discharge from the electric vehicle is greater than zero, and analyzes the power conditioner as unknown in other cases. In the operation status management system according to any one of claims 1 to 6,
the power device includes the storage battery;
The operation analysis unit analyzes an operation status of the storage battery during the power outage based on data indicating an operating state of the storage battery obtained after the recovery,
In this analysis, if independent operation, isolated from the power grid, is performed during the power outage, the operation status management system analyzes the battery as normal; if independent operation is not performed and the charge or discharge amount is greater than zero, the operation status management system analyzes the battery as normal; otherwise, the operation status management system analyzes the battery as abnormal. In the operation status management system according to any one of claims 1 to 7,
The server,
a first server that is communicatively connected to the controller and that periodically acquires data indicating an operating state of the electric power device from the controller every day and records the data in a first recording unit;
a second server that periodically acquires data indicating an operation state of the electric power device from the first server and records the data in a second recording unit;
An operation status management system comprising: a third server that performs a determination by the power outage determination unit and an analysis by the operation analysis unit when a specified disaster investigation start request is received. In the operation status management system according to any one of claims 1 to 8,
In this operation status management system, the determination by the power outage determination unit and the analysis by the operation analysis unit are started when a specified disaster investigation start request is received. In the operation status management system according to claim 9,
An operation status management system in which the determination by the power outage determination unit and the analysis by the operation analysis unit are automatically performed periodically after the request to start the disaster investigation is received.