WO2019150816A1 - Monitoring system, analysis device, and determination method - Google Patents

Abstract

This monitoring system is provided with: a monitoring device which measures an output of a power generation unit including a solar panel, and determines, from the result of measurement in a first period and using a first reference, abnormality regarding the power generation unit, the monitoring device transmitting first data based on the measurement result; and an analysis device which receives the first data transmitted from the monitoring device, generates, on the basis of the received first data, second data in which the temporal granularity of the first data has been made coarser, and determines, from the second data in a second period longer than the first period and using a second reference, abnormality regarding the power generation unit.

Description

Monitoring system, analysis apparatus, and determination method

The present invention relates to a monitoring system, an analysis apparatus, and a determination method.
This application claims the priority on the basis of Japanese application Japanese Patent Application No. 2018-16733 for which it applied on February 1, 2018, and takes in those the indications of all here.

JP 2012-205078 A (Patent Document 1) discloses a monitoring system for photovoltaic power generation as follows. That is, the photovoltaic power generation monitoring system is a photovoltaic power generation monitoring system that monitors the power generation status of the solar cell panel for a photovoltaic power generation system that aggregates outputs from a plurality of solar cell panels and sends them to a power converter. A measuring device for measuring the power generation amount of each solar cell panel provided in a place where the output electric circuits from the plurality of solar cell panels are aggregated, and connected to the measurement device, A lower communication device having a function of transmitting measurement data, an upper communication device having a function of receiving the measurement data transmitted from the lower communication device, and the solar cell panel via the upper communication device And a management device having a function of collecting the measurement data for each. The management device determines the presence or absence of abnormality based on the difference in power generation amount at the same time for each solar cell panel, or the maximum value or integration of the power generation amount for a predetermined period for each solar cell panel The presence or absence of abnormality is determined based on the value.

JP 2012-205078 A

(1) The monitoring system of the present disclosure includes a monitoring device that measures an output of a power generation unit including a solar battery panel and determines an abnormality related to the power generation unit using a first reference from a measurement result over a first period. The monitoring device transmits first data based on the measurement result, further receives the first data transmitted from the monitoring device, and based on the received first data, the first data Generating second data with coarser temporal granularity of the first data, and using the second reference from the second data over a second period longer than the first period, an abnormality related to the power generation unit is generated. An analysis device for determining is provided.

(6) The analysis device of the present disclosure includes a monitoring device that measures the output of the power generation unit including the solar battery panel and determines an abnormality related to the power generation unit using the first reference from the measurement result over the first period. An analysis device in the monitoring system, based on the communication processing unit that receives the first data based on the measurement result transmitted from the monitoring device, and the first data received by the communication processing unit Generating the second data with a coarser granularity of the first data, and using the second reference from the second data over a second period longer than the first period, the power generation unit And a determination unit for determining an abnormality related to.

(7) The determination method of the present disclosure is a determination method in a monitoring system, which measures an output of a power generation unit including a solar battery panel, and uses the first reference based on a measurement result over a first period, to determine the power generation unit. A first data based on the measurement result is received, and second data with coarse temporal granularity of the first data is received based on the received first data. Generating and determining an abnormality related to the power generation unit using a second reference from the second data over a second period longer than the first period.

(8) The determination method of the present disclosure includes a monitoring device that measures an output of a power generation unit including a solar battery panel and determines an abnormality related to the power generation unit using a first reference from a measurement result over a first period. A determination method in an analysis device in a monitoring system, the step of receiving first data based on the measurement result transmitted from the monitoring device, and the first data based on the received first data Second data having a coarser time granularity is generated, and an abnormality relating to the power generation unit is determined from the second data over a second period longer than the first period using a second reference. Steps.

One aspect of the present disclosure can be realized not only as a monitoring system including such a characteristic processing unit, but also as a program for causing a computer to execute such characteristic processing. Further, one embodiment of the present disclosure can be realized as a semiconductor integrated circuit that realizes part or all of the monitoring system.

One aspect of the present disclosure can be realized not only as an analysis apparatus including such a characteristic processing unit, but also as a program for causing a computer to execute such characteristic processing. Further, one embodiment of the present disclosure can be realized as a semiconductor integrated circuit that realizes part or all of the analysis apparatus.

FIG. 1 is a diagram showing a configuration of a photovoltaic power generation system according to an embodiment of the present invention. FIG. 2 is a diagram showing a configuration of the PCS unit according to the embodiment of the present invention. FIG. 3 is a diagram showing a configuration of the current collecting unit according to the embodiment of the present invention. FIG. 4 is a diagram showing a configuration of the solar cell unit according to the embodiment of the present invention. FIG. 5 is a diagram showing an example of the configuration of the monitoring system according to the embodiment of the present invention. FIG. 6 is a diagram showing a configuration of a monitoring device in the monitoring system according to the embodiment of the present invention. FIG. 7 is a diagram showing the configuration of the analysis device in the monitoring system according to the embodiment of the present invention. FIG. 8 is a diagram illustrating an example of second data determined to be abnormal. FIG. 9 is a diagram illustrating an example of third data determined to be abnormal. FIG. 10 is a diagram showing another example of the configuration of the monitoring system according to the embodiment of the present invention. FIG. 11 is a sequence diagram when the monitoring system according to the embodiment of the present invention determines and notifies an abnormality related to the power generation unit. FIG. 12 is a flowchart defining an operation procedure when the monitoring apparatus according to the embodiment of the present invention determines an abnormality related to the power generation unit and notifies the analysis apparatus. FIG. 13 is a flowchart that defines an operation procedure when the analysis apparatus according to the embodiment of the present invention determines an abnormality related to the power generation unit and notifies an external apparatus.

In recent years, techniques for monitoring solar power generation systems and determining abnormalities have been developed.

[Problems to be solved by the present disclosure]
A technique capable of improving the abnormality determination of the solar power generation system beyond the technique described in Patent Document 1 is desired.

The present disclosure has been made to solve the above-described problem, and an object thereof is to provide a monitoring system, an analysis apparatus, and a determination method that can improve abnormality determination of a solar power generation system.

[Effects of the present disclosure]
According to the present disclosure, it is possible to improve abnormality determination of the solar power generation system.

[Description of Embodiment of Present Invention]
First, the contents of the embodiment of the present invention will be listed and described.

(1) The monitoring system according to the embodiment of the present invention measures the output of the power generation unit including the solar battery panel, and determines an abnormality related to the power generation unit using the first reference from the measurement result over the first period. A monitoring device that transmits the first data based on the measurement result, further receives the first data transmitted from the monitoring device, and receives the received first data. Based on the second data with a coarser time granularity of the first data, and using a second criterion from the second data over a second period longer than the first period, An analysis device for determining an abnormality related to the power generation unit is provided.

With such a configuration, for example, the monitoring device can determine an abnormality in a measurement value over a relatively short period, and the analysis device can determine an abnormality in the measurement value over a relatively long period. This makes it possible to determine abnormalities in multiple types of periods while suppressing the data capacity and processing load in the analysis device. By checking, it is possible to detect an abnormality in which a change can be confirmed. Further, in the measurement result over a long period, a change in the measurement value in a short period that cannot be captured due to coarse data granularity can be detected by checking the measurement result over a short period. In addition, abnormalities over different periods are determined in a distributed manner, and processing capacity, data storage amount, transmission bandwidth, and the like can be optimized between the monitoring device and the analysis device, and costs can be reduced. Therefore, the abnormality determination of the solar power generation system can be improved.

(2) Preferably, the analysis device generates the second data, and generates third data in which the temporal granularity of the second data is coarse based on the generated second data. And the abnormality regarding the said electric power generation part is further determined using the 3rd reference | standard from the said 3rd data over the 3rd period longer than the said 2nd period.

With such a configuration, it is possible to determine the abnormality of the measured value over a longer period of time, and to perform more various abnormality determinations.

(3) Preferably, the analysis apparatus performs a process of notifying the abnormality determined by itself, the monitoring apparatus performs a process of notifying the analysis apparatus of the abnormality determined by itself, and the analysis apparatus includes: Then, a process of notifying the abnormality notified from the monitoring device is performed.

In this way, the configuration in which the analysis device collectively reports the abnormality related to the power generation unit to the outside of the photovoltaic power generation system eliminates the need for a configuration in which the monitoring device communicates with the outside, thereby reducing costs.

(4) Preferably, the type of abnormality determined using the first standard is different from the type of abnormality determined using the second standard.

With such a configuration, it is possible to determine more various abnormalities in solar power generation such as diode release failure and aging degradation.

(5) Preferably, the notification content of the abnormality determined using the first reference is different from the notification content of the abnormality determined using the second reference.

With such a configuration, it is possible to determine whether the abnormality is determined using the first criterion or the abnormality determined using the second criterion based on the notification content. Alternatively, maintenance can be performed according to the importance.

(6) The analysis device according to the embodiment of the present invention measures the output of the power generation unit including the solar battery panel, and determines an abnormality related to the power generation unit using the first reference from the measurement result over the first period. An analysis device in a monitoring system including a monitoring device that receives the first data based on the measurement result transmitted from the monitoring device, and the first received by the communication processing unit. Based on the first data, the second data having a coarser granularity in time is generated, and the second reference is obtained from the second data over a second period longer than the first period. And a determination unit that determines an abnormality related to the power generation unit.

With such a configuration, for example, the monitoring device can determine an abnormality in a measurement value over a relatively short period, and the analysis device can determine an abnormality in the measurement value over a relatively long period. This makes it possible to determine abnormalities in multiple types of periods while suppressing the data capacity and processing load in the analysis device. By checking, it is possible to detect an abnormality in which a change can be confirmed. Further, in the measurement result over a long period, a change in the measurement value in a short period that cannot be captured due to coarse data granularity can be detected by checking the measurement result over a short period. In addition, abnormalities over different periods are determined in a distributed manner, and processing capacity, data storage amount, transmission bandwidth, and the like can be optimized between the monitoring device and the analysis device, and costs can be reduced. Therefore, the abnormality determination of the solar power generation system can be improved.

(7) A determination method according to an embodiment of the present invention is a determination method in a monitoring system, which measures an output of a power generation unit including a solar battery panel, and determines a first reference from a measurement result over a first period. Using the step of determining an abnormality related to the power generation unit and receiving the first data based on the measurement result, the time granularity of the first data is coarsened based on the received first data Generating second data and determining an abnormality related to the power generation unit using a second reference from the second data over a second period longer than the first period.

With such a configuration, for example, the monitoring device can determine an abnormality in a measurement value over a relatively short period, and the analysis device can determine an abnormality in the measurement value over a relatively long period. Thereby, it is possible to determine abnormality in a plurality of types of periods while suppressing the data capacity and processing load in the analysis apparatus. In addition, abnormalities over different periods are determined in a distributed manner, and processing capacity, data storage amount, transmission bandwidth, and the like can be optimized between the monitoring device and the analysis device, and costs can be reduced. Therefore, the abnormality determination of the solar power generation system can be improved.

(8) A determination method according to an embodiment of the present invention measures an output of a power generation unit including a solar cell panel, and determines an abnormality related to the power generation unit using a first reference from a measurement result over a first period. A determination method in an analysis device in a monitoring system including a monitoring device that receives the first data based on the measurement result transmitted from the monitoring device, and based on the received first data Generating the second data with a coarser granularity of the first data, and using the second reference from the second data over a second period longer than the first period, the power generation unit And determining an abnormality related to.

With such a configuration, for example, the monitoring device can determine an abnormality in a measurement value over a relatively short period, and the analysis device can determine an abnormality in the measurement value over a relatively long period. This makes it possible to determine abnormalities in multiple types of periods while suppressing the data capacity and processing load in the analysis device. By checking, it is possible to detect an abnormality in which a change can be confirmed. Further, in the measurement result over a long period, a change in the measurement value in a short period that cannot be captured due to coarse data granularity can be detected by checking the measurement result over a short period. In addition, abnormalities over different periods are determined in a distributed manner, and processing capacity, data storage amount, transmission bandwidth, and the like can be optimized between the monitoring device and the analysis device, and costs can be reduced. Therefore, the abnormality determination of the solar power generation system can be improved.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the drawings, the same or corresponding parts are denoted by the same reference numerals and description thereof will not be repeated. Moreover, you may combine arbitrarily at least one part of embodiment described below.

[Configuration of solar power generation system]
FIG. 1 is a diagram showing a configuration of a photovoltaic power generation system according to an embodiment of the present invention.

Referring to FIG. 1, solar power generation system 401 includes four PCS (Power Conditioning Subsystem) units 80 and cubicle 6. The cubicle 6 includes a copper bar 73.

FIG. 1 representatively shows four PCS units 80, but a larger or smaller number of PCS units 80 may be provided.

FIG. 2 is a diagram showing a configuration of the PCS unit according to the embodiment of the present invention.

2, the PCS unit 80 includes four current collecting units 60 and a PCS (power conversion device) 8. The PCS 8 includes a copper bar 7 and a power conversion unit 9.

In FIG. 2, four current collecting units 60 are representatively shown, but a larger or smaller number of current collecting units 60 may be provided.

FIG. 3 is a diagram showing a configuration of the current collecting unit according to the embodiment of the present invention.

Referring to FIG. 3, the current collecting unit 60 includes four solar cell units 74 and a current collecting box 71. The current collection box 71 has a copper bar 72.

In FIG. 3, four solar cell units 74 are representatively shown, but a larger number or a smaller number of solar cell units 74 may be provided.

FIG. 4 is a diagram showing the configuration of the solar cell unit according to the embodiment of the present invention.

Referring to FIG. 4, solar cell unit 74 includes four power generation units 78 and a junction box 76. The power generation unit 78 has a solar cell panel. The connection box 76 has a copper bar 77.

FIG. 4 representatively shows four power generation units 78, but a larger or smaller number of power generation units 78 may be provided.

In this example, the power generation unit 78 is a string in which four solar cell panels 79A, 79B, 79C, and 79D are connected in series. Hereinafter, each of the solar cell panels 79A, 79B, 79C, and 79D is also referred to as a solar cell panel 79.

FIG. 4 representatively shows four solar cell panels 79, but a larger or smaller number of solar cell panels 79 may be provided.

In the solar power generation system 401, output lines and aggregated lines, that is, power lines from the plurality of power generation units 78 are electrically connected to the cubicles 6, respectively.

More specifically, the output line 1 of the power generation unit 78 has a first end connected to the power generation unit 78 and a second end connected to the copper bar 77. Each output line 1 is aggregated into an aggregation line 5 via a copper bar 77. The copper bar 77 is provided, for example, inside the connection box 76.

When the power generation unit 78 receives sunlight, the power generation unit 78 converts the received solar energy into DC power, and outputs the converted DC power to the output line 1.

3 and 4, aggregation line 5 has a first end connected to copper bar 77 and a second end connected to copper bar 72 in corresponding solar cell unit 74. Each aggregation line 5 is aggregated into the aggregation line 2 via the copper bar 72. The copper bar 72 is provided, for example, inside the current collection box 71.

With reference to FIGS. 1 to 4, in the photovoltaic power generation system 401, as described above, the output lines 1 from the plurality of power generation units 78 are aggregated into the aggregation line 5, and the aggregation lines 5 are aggregated into the aggregation line 2. Then, each aggregation line 2 is aggregated to the aggregation line 4, and each aggregation line 4 is electrically connected to the cubicle 6.

More specifically, each aggregation line 2 has a first end connected to the copper bar 72 in the corresponding current collecting unit 60 and a second end connected to the copper bar 7. In the PCS 8, the internal line 3 has a first end connected to the copper bar 7 and a second end connected to the power conversion unit 9.

In the PCS 8, the power conversion unit 9 uses, for example, the DC power generated in each power generation unit 78 via the output line 1, the copper bar 77, the aggregation line 5, the copper bar 72, the aggregation line 2, the copper bar 7 and the internal line 3. Is received, the received DC power is converted into AC power and output to the aggregation line 4.

The aggregation line 4 has a first end connected to the power conversion unit 9 and a second end connected to the copper bar 73.

In the cubicle 6, AC power output from the power conversion unit 9 in each PCS 8 to each aggregation line 4 is output to the system via the copper bar 73.

[Task]
In order to monitor the abnormality of the power generation unit 78, the method of measuring the output of the power generation unit 78 and collecting the measurement results on a server or the like to determine the abnormality accumulates sufficient transmission capacity for transmitting the measurement results and the measurement results. A sufficient storage capacity such as a server to be used is required.

Abnormality detection involves collecting measurement results from multiple power plants, which increases the amount of data to be processed and takes time, and uses multiple detection logic, so servers and other devices have high processing capabilities. Desired.

Therefore, the monitoring system according to the embodiment of the present invention solves such problems by the following configuration and operation.

[Configuration of Monitoring System 301]
FIG. 5 is a diagram showing an example of the configuration of the monitoring system according to the embodiment of the present invention.

Referring to FIG. 5, the solar power generation system 401 includes a monitoring system 301. The monitoring system 301 includes a plurality of monitoring devices 111 and an analysis device 151.

FIG. 5 representatively shows four monitoring devices 111 provided corresponding to one current collecting unit 60, but a larger or smaller number of monitoring devices 111 may be provided. In addition, the monitoring system 301 includes one analysis device 151, but may include a plurality of analysis devices 151.

In the monitoring system 301, sensor information in the monitoring device 111 which is a slave is transmitted to the analysis device 151 regularly or irregularly.

The monitoring device 111 is provided in the current collecting unit 60, for example. More specifically, four monitoring devices 111 are provided corresponding to the four solar cell units 74, respectively. Each monitoring device 111 is electrically connected to the corresponding output line 1 and aggregation line 5, for example.

The monitoring device 111 measures the current of each output line 1 in the corresponding solar cell unit 74 with a sensor. Moreover, the monitoring apparatus 111 measures the voltage of each output line 1 in the corresponding solar cell unit 74 with a sensor.

The analysis device 151 is provided in the vicinity of the PCS 8, for example. More specifically, the analysis device 151 is provided corresponding to the PCS 8 and is electrically connected to the copper bar 7 via the signal line 46.

The monitoring device 111 and the analysis device 151 perform transmission / reception of information by performing power line communication (PLC: Power Line Communication) via the aggregation lines 2 and 5.

[Configuration of Monitoring Device 111]
FIG. 6 is a diagram showing a configuration of a monitoring device in the monitoring system according to the embodiment of the present invention. In FIG. 6, the output line 1, the aggregation line 5 and the copper bar 77 are shown in more detail.

Referring to FIG. 6, output line 1 includes a plus side output line 1p and a minus side output line 1n. Aggregation line 5 includes a plus-side aggregation line 5p and a minus-side aggregation line 5n. The copper bar 77 includes a plus side copper bar 77p and a minus side copper bar 77n.

Although not shown, the copper bar 72 in the current collection box 71 shown in FIG. 3 includes a plus-side copper bar 72p and a minus-side copper bar 72n corresponding to the plus-side aggregation line 5p and the minus-side aggregation line 5n, respectively.

The plus side output line 1p has a first end connected to the corresponding power generation unit 78 and a second end connected to the plus side copper bar 77p. The negative side output line 1n has a first end connected to the corresponding power generation unit 78 and a second end connected to the negative side copper bar 77n.

The plus side aggregation line 5p has a first end connected to the plus side copper bar 77p and a second end connected to the plus side copper bar 72p in the current collection box 71. The minus-side aggregate line 5n has a first end connected to the minus-side copper bar 77n and a second end connected to the minus-side copper bar 72n in the current collection box 71.

The monitoring device 111 includes a detection processing unit 11, four current sensors 16, a voltage sensor 17, and a communication unit 14. Note that the monitoring device 111 may further include a large number or a small number of current sensors 16 depending on the number of output lines 1.

The monitoring device 111 is provided in the vicinity of the power generation unit 78, for example. Specifically, the monitoring device 111 is provided, for example, inside a connection box 76 provided with a copper bar 77 to which the output line 1 to be measured is connected. Note that the monitoring device 111 may be provided outside the connection box 76.

The monitoring device 111 is electrically connected to, for example, the plus-side aggregate line 5p and the minus-side aggregate line 5n via the plus-side power line 26p and the minus-side power line 26n, respectively. Hereinafter, each of the plus-side power line 26p and the minus-side power line 26n is also referred to as a power line 26.

The communication unit 14 in the monitoring device 111 can perform power line communication via the aggregation line with the analysis device 151 that collects the measurement results of the plurality of monitoring devices 111. More specifically, the communication unit 14 can transmit and receive information via the aggregation lines 2 and 5. Specifically, the communication unit 14 performs power line communication with the analysis device 151 via the power line 26 and the aggregation lines 2 and 5.

The current sensor 16 measures the current of the output line 1. More specifically, the current sensor 16 is, for example, a Hall element type current probe. The current sensor 16 measures the current flowing through the corresponding negative output line 1n every 6 seconds using the power received from the power supply circuit (not shown) of the monitoring device 111, and sends a signal indicating the measured value to the detection processing unit 11. Output. The current sensor 16 may measure a current flowing through the plus side output line 1p.

The detection processing unit 11 calculates, for example, a measurement value for one minute, that is, an average value M of ten measurement values indicated by a signal received from the current sensor 16 as the first period, and outputs the average value M to the determination unit 12.

The determination unit 12 determines an abnormality related to the power generation unit 78 using the first reference from the measurement result over the first period.

For example, when the wiring connecting the solar cell panel 79 is disconnected or the internal wiring is disconnected due to the heat generated by the solar cell panel 79, the average value M is sharper than the average value M of the immediately preceding first period. To drop.

The determination unit 12 determines that such a rapid decrease in the average value M in a short period is abnormal using the first reference.

The first standard is, for example, whether or not the average value M has decreased by a predetermined value or more compared to the average value M calculated last time.

The determination unit 12 determines that the corresponding power generation unit 78 is abnormal when the average value M decreases by a predetermined value or more using the first reference, compared to the previously calculated average value M. (Hereinafter also referred to as first abnormality information) and the average value M are output to the communication unit 14.

Further, when the determination unit 12 determines that the power generation unit 78 is normal, the determination unit 12 outputs the average value M to the communication unit 14.

The communication unit 14 transmits the first data based on the measurement result of the output of the power generation unit 78, for example, the average value M, via the power line connected to itself and the analysis device 151.

More specifically, for example, the communication unit 14 creates and analyzes a packet in which the transmission source ID is its own monitoring device ID, the transmission destination ID is the ID of the analysis device 151, and the data portion is the average value M. Transmit to device 151.

In addition, the communication unit 14 transmits the first data and performs a process of notifying the analyzer 151 of the abnormality determined by the determination unit 12.

More specifically, the communication unit 14 includes the first abnormality information in the data portion of the packet and transmits it to the analysis device 151.

In addition, the communication part 14 may transmit the packet which is a measured value which the data part shows from the current sensor 16 as 1st data. Alternatively, the communication unit 14 may transmit, as the first data, a packet whose data portion is an average value of measurement values in a period having a length different from that of the first period.

Also, the first period may be, for example, 6 seconds. In this case, the determination unit 12 determines an abnormality related to the power generation unit 78 based on one measurement value indicated by the signal received from the current sensor 16. The determination unit 12 determines, for example, that the rapid decrease in the measured value is abnormal using the first reference.

Further, the determination unit 12 may determine an abnormality related to the power generation unit 78 based on the maximum value of ten measurement values indicated by the signal received from the current sensor 16.

Further, the determination unit 12 is not limited to the configuration for determining abnormality from the average value of the measurement values of the current sensor 16, and may be configured to determine the abnormality from the average value of the measurement values of the voltage sensor 17.

More specifically, the voltage sensor 17 measures the voltage of the output line 1. For example, the voltage sensor 17 measures the voltage between the plus-side copper bar 77p and the minus-side copper bar 77n every 6 seconds, and outputs a signal indicating the measured value to the detection processing unit 11.

The detection processing unit 11 calculates, for example, a measurement value for one minute, that is, an average value M of ten measurement values indicated by a signal received from the voltage sensor 17 as the first period, and outputs the average value M to the determination unit 12.

The determination unit 12 calculates the generated power by multiplying the measurement value of the current sensor 16 and the measurement value of the voltage sensor 17 without being limited to the configuration for determining abnormality based on the measurement value of the current sensor 16. A configuration may be used in which an abnormality is determined based on the generated power.

[Configuration and operation of analyzer]
FIG. 7 is a diagram showing the configuration of the analysis device in the monitoring system according to the embodiment of the present invention.

Referring to FIG. 7, the analysis device 151 includes a determination unit 81, a generation unit 82, a notification unit 83, a communication processing unit 84, and a storage unit 85.

The analysis device 151 receives the first data transmitted from the monitoring device 111. Then, the analysis device 151 accumulates the received first data.

More specifically, referring to FIG. 5 again, the communication processing unit 84 can transmit and receive information via the aggregation lines 2 and 5. Specifically, for example, the communication processing unit 84 performs power line communication with the monitoring device 111 via the signal line 46 and the aggregation lines 2 and 5, and receives first data from the plurality of monitoring devices 111.

When the communication processing unit 84 receives the first data from the monitoring device 111, the communication processing unit 84 stores the received first data in the storage unit 85.

Also, the analysis device 151 performs a process of notifying the abnormality notified from the monitoring device 111.

More specifically, the communication processing unit 84 outputs the first abnormality information to the notification unit 83 when the first abnormality information is included in the received first data.

The notification unit 83 transmits the first abnormality information received from the communication processing unit 84 to an external device such as a server via a network in a format such as e-mail.

The analysis device 151 generates second data with coarse temporal granularity of the first data based on the accumulated first data.

More specifically, for example, the generation unit 82 selects 10-minute intervals of data for a second period, for example, one day from each first data accumulated in the storage unit 85, and selects each selected first data Are generated and stored in the storage unit 85 and output to the determination unit 81.

The second period only needs to be longer than the first period, and is, for example, 10 minutes, 1 hour, or 1 week.

Further, the generation unit 82 deletes the first data for one day corresponding to the generated second data from the storage unit 85.

The determination part 81 determines the abnormality regarding the electric power generation part 78 using the 2nd reference | standard from the 2nd data over a 2nd period.

FIG. 8 is a diagram illustrating an example of second data determined to be abnormal. In FIG. 8, the horizontal axis indicates time, and the vertical axis indicates generated power. The graph D1 shows the generated power of the power generation unit 78 on a certain day, and the graph D2 shows the generated power of the power generation unit 78 on the next day.

Referring to FIG. 8, for example, when sufficient power generation is not possible due to glass damage on the surface of solar cell panel 79, shadows, weather, or the like, the power generation unit 78 generates power of the previous day as shown in graph D2. It is lower than

The determination unit 81 determines such a decrease in generated power as abnormal using the second reference.

The second standard is, for example, whether or not the generated power has decreased by a predetermined value or more compared to the previous day.

The determination unit 81 determines that the corresponding power generation unit 78 is abnormal when the generated power has decreased by a predetermined value or more compared to the previous day, and also indicates information indicating abnormality (hereinafter also referred to as second abnormality information). ) To the notification unit 83.

Further, the second reference may be, for example, whether or not the generated power of one power generation unit 78 is lower than a predetermined value as compared with the generated power of another power generation unit 78.

The determination unit 81 determines that the corresponding power generation unit 78 is abnormal when the power generation power of a certain power generation unit 78 is lower than a predetermined value compared to the power generation power of other power generation units 78, and is abnormal. (Hereinafter also referred to as second abnormality information) is output to the notification unit 83.

Thus, the type of abnormality determined using the second standard is different from the type of abnormality determined using the first standard.

The notification unit 83 performs a process of notifying the second abnormality information received from the determination unit 81. For example, the abnormality notification content determined using the second criterion is different from the abnormality notification content determined using the first criterion.

More specifically, the notification unit 83 transmits the second abnormality information received from the determination unit 81 to an external device such as a server via the network in the form of e-mail, for example. For example, when the degree of abnormality is distinguished by the level, the second abnormality information is notified at a level different from that of the first abnormality information.

Further, for example, the analysis device 151 generates the second data, generates the third data in which the temporal granularity of the second data is coarse based on the generated second data, and the second data An abnormality related to the power generation unit 78 is determined from the third data over the third period longer than the period using the third reference.

More specifically, for example, the generation unit 82 selects, from the second data accumulated in the storage unit 85, data indicating the maximum value of generated power in one day for the third period, for example, one year. Then, third data obtained by arranging the selected second data in time series is generated and stored in the storage unit 85 and is output to the determination unit 81.

Note that the third period may be longer than the second period, for example, one day, one week, or one month.

Further, the generation unit 82 deletes each second data for one year corresponding to the generated third data from the storage unit 85.

FIG. 9 is a diagram illustrating an example of third data determined to be abnormal. In FIG. 9, the horizontal axis indicates time, and the vertical axis indicates generated power. A graph Y1 shows ideal generated power generated by the power generation unit 78 in one year, and a graph Y2 shows power generated by the power generation unit 78 in a certain year.

Referring to FIG. 9, the generated power of power generation unit 78 is, for example, aged deterioration of solar cell panel 79, increased resistance of wiring solder in solar cell panel 79, or moisture intrusion into solar cell panel 79. Etc., gradually decrease.

The determination unit 81 determines that the state in which the generated power gradually decreases as described above is abnormal using the third reference.

The third standard is, for example, whether or not the generated power has decreased by a predetermined value or more in a predetermined period.

The determination unit 81 determines that the corresponding power generation unit 78 is abnormal when the generated power is gradually decreased in the predetermined period, and information indicating that the power generation unit 78 is abnormal (hereinafter also referred to as third abnormality information). Output to the notification unit 83.

The notification unit 83 transmits the third abnormality information received from the determination unit 81 to an external device such as a server via a network in a format such as e-mail.

Thus, the type of abnormality determined using the third standard is different from the type of abnormality determined using the first standard and the second standard, respectively.

The notification unit 83 performs a process of notifying the third abnormality information received from the determination unit 81. For example, the abnormality notification content determined using the third criterion is different from the abnormality notification content determined using the first criterion and the second criterion, respectively.

More specifically, the notification unit 83 transmits the third abnormality information received from the determination unit 81 to an external device such as a server via the network in a format such as e-mail. For example, when the degree of abnormality is distinguished by the level, the third abnormality information is notified at a level different from the first abnormality information and the second abnormality information.

[Modification]
The monitoring system 301 may be configured to include a plurality of monitoring devices 111, an analysis device 151, and a collection device 131.

FIG. 10 is a diagram showing another example of the configuration of the monitoring system according to the embodiment of the present invention.

10 representatively shows four monitoring devices 111 provided corresponding to one current collection unit 60, but a larger or smaller number of monitoring devices 111 may be provided. Moreover, although the monitoring system 301 includes one collection device 131, a plurality of collection devices 131 may be included.

The collection device 131 is provided in the vicinity of the PCS 8, for example. More specifically, the collection device 131 is provided corresponding to the PCS 8 and is electrically connected to the copper bar 7 via the signal line 46.

The collection device 131 collects packets including the first data from the monitoring device 111 and the first abnormality information. More specifically, the monitoring device 111 transmits a packet including the first data and the first abnormality information to the collection device 131 by performing power line communication via the aggregation lines 2 and 5.

The collection device 131 transmits the packet received from the monitoring device 111 to the analysis device 151 via a network, for example. The collection device 131 may be configured to accumulate the packets received from the monitoring device 111, for example, in a storage unit (not shown) and periodically transmit the packets to the analysis device 151.

The analysis device 151 receives first data included in a packet transmitted from one or a plurality of collection devices 131 via a network. Then, the analysis device 151 accumulates the received first data.

[Flow of operation]
Each device in the monitoring system 301 includes a computer, and an arithmetic processing unit such as a CPU in the computer reads and executes a program including a part or all of each step of the following sequence diagram or flowchart from a memory (not shown). . Each of the programs of the plurality of apparatuses can be installed from the outside. The programs of the plurality of apparatuses are distributed while being stored in a recording medium.

FIG. 11 is a sequence diagram when the monitoring system according to the embodiment of the present invention determines and notifies an abnormality related to the power generation unit.

Referring to FIG. 11, first, monitoring device 111 measures the output of power generation unit 78 including solar cell panel 79 (step S101).

Next, the monitoring device 111 determines an abnormality related to the power generation unit 78 using the first reference from the measurement result over the first period (step S102).

Next, the monitoring device 111 generates first data based on the measurement result of the output of the power generation unit 78 (step S103).

Next, the monitoring device 111 transmits the first data to the analysis device 151. And the analysis apparatus 151 receives the 1st data from the monitoring apparatus 111 (step S104).

Further, when the monitoring device 111 determines that the power generation unit 78 is abnormal, the monitoring device 111 transmits the first abnormality information to the analysis device 151 (step S105).

Next, the analysis device 151 accumulates the received first data in the storage unit 85 (step S106).

Further, when the analysis apparatus 151 receives the first abnormality information from the monitoring apparatus 111, the analysis apparatus 151 transmits the first abnormality information to the server (step S107).

Similarly, the monitoring device 111 and the analysis device 151 repeat the operations from step S101 to step S107.

Next, the analysis device 151 generates second data in which the temporal granularity of the first data is coarse based on the accumulated first data (step S108).

Next, the analysis apparatus 151 determines an abnormality related to the power generation unit 78 using the second reference from the second data over the second period longer than the first period (step S109).

Next, when the analysis device 151 determines that the power generation unit 78 is abnormal, the analysis device 151 transmits second abnormality information to the server (step S110).

Similarly, the analyzing apparatus 151 repeats the operations from step S108 to step S110.

Next, the analysis device 151 generates third data in which the temporal granularity of the second data is coarse based on the accumulated second data (step S111).

Next, the analysis device 151 determines an abnormality related to the power generation unit 78 using the third reference from the third data over the third period longer than the second period (step S112).

Next, when the analysis device 151 determines that the power generation unit 78 is abnormal, the analysis device 151 transmits third abnormality information to the server (step S113).

Similarly, the analyzing apparatus 151 repeats the operations in steps S111 to S113.

The order of step S104 and step S105 is not limited to the above, and the order may be changed.

Further, the order of step S106 and step S107 is not limited to the above, and the order may be changed.

FIG. 12 is a flowchart that defines an operation procedure when the monitoring apparatus according to the embodiment of the present invention determines an abnormality related to the power generation unit and notifies the analysis apparatus.

Referring to FIG. 12, first, monitoring device 111 measures the output of power generation unit 78 including solar cell panel 79 (step S201).

Next, the monitoring device 111 generates first data based on the measurement result of the output of the power generation unit 78 (step S202).

Next, the monitoring device 111 determines an abnormality related to the power generation unit 78 using the first reference from the measurement result over the first period (step S203).

When the monitoring device 111 determines that the power generation unit 78 is abnormal (YES in step S203), the monitoring device 111 includes the first abnormality information in the packet (step S204).

Next, the monitoring device 111 transmits a packet including the first data and the first abnormality information to the analysis device 151 (step S205).

On the other hand, when the monitoring device 111 determines that the power generation unit 78 is normal (NO in step S203), the monitoring device 111 transmits a packet including the first data to the analysis device 151 (step S205).

FIG. 13 is a flowchart defining an operation procedure when the analysis apparatus according to the embodiment of the present invention determines an abnormality related to the power generation unit and notifies an external apparatus.

Referring to FIG. 13, first, the communication processing unit 84 in the analysis device 151 receives a packet including the first data from the monitoring device 111 (step S301).

Next, the analysis device 151 accumulates the first data included in the received packet in the storage unit 85 (step S302).

Next, when the first abnormality information is present in the received packet (YES in step S303), the analysis apparatus 151 transmits the first abnormality information to the server (step S304).

Next, the generation unit 82 in the analysis device 151 generates and stores second data with coarse temporal granularity of the first data based on the stored first data (step S305).

On the other hand, when the first abnormality information does not exist in the received packet (NO in step S303), the analysis device 151 sets the second granularity of the first data based on the accumulated first data. Are generated and stored (step S305).

Next, the analysis device 151 determines an abnormality related to the power generation unit 78 using the second reference from the second data over the second period longer than the first period (step S306).

Next, when it is determined that the power generation unit 78 is abnormal (YES in step S306), the analysis device 151 transmits the second abnormality information to the server (step S307).

Next, the analysis device 151 generates and accumulates third data in which the temporal granularity of the second data is coarse based on the accumulated second data (step S308).

Next, the analysis device 151 determines an abnormality related to the power generation unit 78 using the third reference from the third data over the third period longer than the second period (step S309).

Next, when the analysis device 151 determines that the power generation unit 78 is abnormal (YES in step S309), the analysis device 151 transmits the third abnormality information to the server (step S310).

Next, the analysis device 151 waits until the next first data is received (step S301).

On the other hand, when determining that the power generation unit 78 is normal (NO in step S309), the analysis device 151 waits until a new packet is received (step S301).

The monitoring device 111 and the analysis device 151 are not limited to the configuration for determining whether or not the power generation unit 78 itself is abnormal. For example, the output of the power generation unit 78 is reduced due to the situation around the power generation unit 78. A configuration may be adopted in which a state such as being performed is determined as an abnormality relating to the power generation unit 78.

In the monitoring system according to the embodiment of the present invention, the type of abnormality and notification content determined using the first standard, and the type of abnormality and notification content determined using the second standard However, the present invention is not limited to this. The type of abnormality and notification content determined using the first standard may be the same as the type of abnormality and notification content determined using the second standard.

In the monitoring system according to the embodiment of the present invention, the analysis device 151 is configured to generate and store the second data, and delete the first data. However, the present invention is not limited to this. Absent. The analysis device 151 may be configured not to delete the first data.

In the monitoring system according to the embodiment of the present invention, the analysis device 151 is configured to generate and store the third data, and delete the second data. However, the present invention is not limited to this. Absent. The analysis device 151 may be configured not to delete the second data.

In the monitoring system according to the embodiment of the present invention, the monitoring device 111 and the analysis device 151 are configured to determine that a current value greater than a predetermined value or a decrease in generated power is an abnormality related to the power generation unit 78. However, the present invention is not limited to this. For example, the monitoring device 111 and the analysis device 151 may determine an abnormality related to the power generation unit 78 using a determination method suitable for the processing capability of each device, such as clustering determination by machine learning.

Further, in the monitoring system according to the embodiment of the present invention, the analysis device 151 is configured to generate the third data in which the temporal granularity of the second data is coarse and determine an abnormality related to the power generation unit 78. However, the present invention is not limited to this. The analysis device 151 may be configured not to generate the third data.

In the monitoring system according to the embodiment of the present invention, the monitoring device 111 is configured to notify the analysis device 151 of the determined abnormality, but is not limited thereto. For example, the monitoring device 111 may be configured to transmit the determined abnormality to an external device such as a server via a network.

Further, in the monitoring system according to the embodiment of the present invention, the analysis device 151 is configured to determine an abnormality related to the power generation unit from the data over the first to third periods, but is not limited thereto. . The analysis device 151 is configured to determine an abnormality related to the power generation unit from data over a plurality of periods including the fourth period, or the fourth period, which is longer, and the length of the period is increased stepwise. May be.

In the monitoring system according to the embodiment of the present invention, the analysis device 151 is configured to store the received first data. However, the present invention is not limited to this. The analysis device 151 may be configured to generate the second data without accumulating the received first data.

Specifically, the communication processing unit 84 in the analysis device 151 outputs the first data received from the monitoring device 111, for example, the average value M to the generation unit 82 without saving it in the storage unit 85.

The generation unit 82 holds the first data received from the communication processing unit 84 until new first data is received from the communication processing unit 84, for example.

Then, for example, when the generation unit 82 receives new first data from the communication processing unit 84, the generation unit 82 generates and creates intermediate data obtained by adding the held first data and the new first data. The intermediate data is stored in the storage unit 85.

For example, when the generation unit 82 receives new first data from the communication processing unit 84, the generation unit 82 acquires the intermediate data from the storage unit 85, and adds the first data to the acquired intermediate data. The intermediate data is updated, and the updated intermediate data is stored in the storage unit 85.

For example, the generation unit 82 generates the intermediate data SD1 for one day by performing the above processing on the first data for one day, that is, 1440 times, and divides the generated intermediate data SD1 by 1440. The average value MD of the first data for one day is calculated. Then, the generation unit 82 outputs the calculated average value MD to the determination unit 81 as second data.

In this case, the second reference used by the determination unit 81 is, for example, whether or not the value indicated by the second data is less than a predetermined value.

More specifically, when the average value MD is less than the predetermined value, the determination unit 81 determines that the corresponding power generation unit 78 is abnormal, and outputs second abnormality information to the notification unit 83.

In the monitoring system according to the embodiment of the present invention, the analysis device 151 is configured to store the generated second data, but is not limited thereto. The analysis device 151 may be configured to generate the third data without accumulating the generated second data.

Specifically, for example, when generating the intermediate data SD1 for one year, that is, 365 times, the generating unit 82 acquires each of the intermediate data SD1 from the storage unit 85, and averages the acquired intermediate data SD1 for one year. The value MY is calculated. Then, the generation unit 82 outputs the calculated average value MY to the determination unit 81 as third data.

In this case, the third reference used by the determination unit 81 is, for example, whether or not the value indicated by the third data is less than a predetermined value.

When the average value MY is less than the predetermined value, the determination unit 81 determines that the corresponding power generation unit 78 is abnormal, and outputs third abnormality information to the notification unit 83.

Further, the generation unit 82 is not limited to the configuration in which the first data held, for example, the average value M and the new first data from the communication processing unit 84 are added to create intermediate data. Are compared with new first data from the communication processing unit 84, and the larger of the held first data and the new first data is stored in the storage unit 85 as intermediate data. It may be configured to.

More specifically, for example, the generation unit 82 receives the first first data in the second period from the communication processing unit 84, receives the received first data, and receives the next first data as the communication processing unit. Hold until 84.

For example, when the generation unit 82 receives the next first data from the communication processing unit 84, the generation unit 82 compares the held first data with the next first data, Data is stored in the storage unit 85 as intermediate data.

Further, when the generation unit 82 receives new first data from the communication processing unit 84, the generation unit 82 compares the intermediate data in the storage unit 85 with the first data, and the first data is intermediate in the storage unit 85. If it is larger than the data, the first data is stored in the storage unit 85 as new intermediate data.

Then, the generation unit 82 outputs the intermediate data SD2 obtained by performing the above processing on the first data for a second period, for example, one day, to the determination unit 81 as the second data.

In this case, the second reference used by the determination unit 81 is, for example, whether or not the value indicated by the second data is less than a predetermined value.

More specifically, when the intermediate data SD2 is less than the predetermined value V1, the determination unit 81 determines that the corresponding power generation unit 78 is abnormal and outputs the second abnormality information to the notification unit 83.

In addition, the generation unit 82 generates intermediate data SD2 for each second period (hereinafter, also referred to as an intermediate period) included in the third period, and the generated intermediate data SD2 is arranged in time series. The structure which produces | generates this data may be sufficient.

Further, the generation unit 82 may be configured to store the larger one of the intermediate data SD2 in a certain intermediate period and the next intermediate data SD2 in the next intermediate period in the storage unit 85 as the intermediate data SY1.

More specifically, for example, the generation unit 82 stores the intermediate data SD2 in the first intermediate period in the storage unit 85 as the intermediate data SY1. Then, when generating the intermediate data SD2 in the next intermediate period, the generation unit 82 compares the intermediate data SY1 in the storage unit 85 with the intermediate data SD2, and the intermediate data SD2 is larger than the intermediate data SY1 in the storage unit 85. In this case, the intermediate data SD2 is stored in the storage unit 85 as new intermediate data SY1.

Then, the generation unit 82 outputs the intermediate data SY1 obtained by performing the above processing on the intermediate data for the third period, for example, one year, to the determination unit 81 as the third data.

In this case, the third reference used by the determination unit 81 is, for example, whether or not the value indicated by the third data is less than a predetermined value.

More specifically, when the intermediate data SY1 is less than the predetermined value V2, the determination unit 81 determines that the corresponding power generation unit 78 is abnormal, and outputs the third abnormality information to the notification unit 83. The predetermined value V2 is larger than the predetermined value V1, for example.

By the way, beyond the technique described in Patent Document 1, a technique capable of improving the abnormality determination of the photovoltaic power generation system is desired.

In the monitoring system according to the embodiment of the present invention, the monitoring device 111 measures the output of the power generation unit 78 including the solar cell panel 79, and uses the first reference from the measurement result over the first period to generate the power generation unit 78. Judge abnormalities related to. The monitoring device 111 transmits first data based on the measurement result. The analysis device 151 receives the first data transmitted from the monitoring device 111, generates second data with coarse temporal granularity of the first data based on the received first data, An abnormality relating to the power generation unit 78 is determined using the second reference from the second data over a second period longer than the first period.

With such a configuration, for example, the monitoring device 111 can determine a measurement value abnormality over a relatively short period of time, and the analysis device 151 can determine a measurement value abnormality over a relatively long period of time. As a result, it becomes possible to determine abnormalities in a plurality of types of periods while suppressing the data capacity and processing load in the analysis device 151. For example, there is no change in measured values in a short period of time, and measurement results over a long period of time. By confirming, it is possible to detect an abnormality in which a change can be confirmed. Further, in the measurement result over a long period, a change in the measurement value in a short period that cannot be captured due to coarse data granularity can be detected by checking the measurement result over a short period. In addition, abnormalities over different periods are determined in a distributed manner, and the processing capacity, data accumulation amount, transmission band, and the like can be optimized between the monitoring device 111 and the analysis device 151, and costs can be reduced.

Therefore, in the monitoring system according to the embodiment of the present invention, the abnormality determination of the solar power generation system can be improved.

In the monitoring system according to the embodiment of the present invention, the analysis device 151 generates the second data, and based on the generated second data, the second data is coarsened with respect to time. 3 is generated, and the abnormality relating to the power generation unit 78 is further determined from the third data over the third period longer than the second period using the third reference.

With such a configuration, it is possible to determine the abnormality of the measured value over a longer period of time, and to perform more various abnormality determinations.

Moreover, in the monitoring system according to the embodiment of the present invention, the analysis device 151 performs a process of notifying the abnormality determined by itself. The monitoring device 111 performs processing for notifying the analysis device 151 of the abnormality determined by itself. The analysis device 151 performs a process of notifying the abnormality notified from the monitoring device 111.

Thus, the configuration in which the analysis device 151 collectively notifies the abnormality related to the power generation unit 78 to the outside of the photovoltaic power generation system eliminates the need for the configuration in which the monitoring device 111 communicates with the outside, thereby reducing the cost.

Further, in the monitoring system according to the embodiment of the present invention, the type of abnormality determined using the first standard is different from the type of abnormality determined using the second standard.

With such a configuration, it is possible to determine more various abnormalities in solar power generation such as diode release failure and aging degradation.

Further, in the monitoring system according to the embodiment of the present invention, the notification content of the abnormality determined using the first reference is different from the notification content of the abnormality determined using the second reference.

With such a configuration, it is possible to determine whether the abnormality is determined using the first criterion or the abnormality determined using the second criterion based on the notification content. Alternatively, maintenance can be performed according to the importance.

Further, in the analysis device according to the embodiment of the present invention, the communication processing unit 84 is based on the measurement result over the first period of the output of the power generation unit 78 including the solar battery panel 79 transmitted from the monitoring device 111. 1 data is received. Based on the first data received by the communication processing unit 84, the determination unit 81 generates second data with coarse temporal granularity of the first data, and the second data longer than the first period is generated. An abnormality relating to the power generation unit 78 is determined from the second data over the period using the second reference.

With such a configuration, for example, the monitoring device 111 can determine a measurement value abnormality over a relatively short period of time, and the analysis device 151 can determine a measurement value abnormality over a relatively long period of time. As a result, it becomes possible to determine abnormalities in a plurality of types of periods while suppressing the data capacity and processing load in the analysis device 151. For example, there is no change in measured values in a short period of time, and measurement results over a long period of time. By confirming, it is possible to detect an abnormality in which a change can be confirmed. Further, in the measurement result over a long period, a change in the measurement value in a short period that cannot be captured due to coarse data granularity can be detected by checking the measurement result over a short period. In addition, abnormalities over different periods are determined in a distributed manner, and the processing capacity, data accumulation amount, transmission band, and the like can be optimized between the monitoring device 111 and the analysis device 151, and costs can be reduced.

Therefore, the analysis apparatus according to the embodiment of the present invention can improve the abnormality determination of the photovoltaic power generation system.

Moreover, in the determination method in the monitoring system according to the embodiment of the present invention, first, the output of the power generation unit including the solar cell panel is measured, and the power generation unit is related using the first reference from the measurement result over the first period. Judge abnormalities. Next, the first data based on the measurement result is received, and based on the received first data, the second data in which the temporal granularity of the first data is coarse is generated, and from the first period An abnormality related to the power generation unit 78 is determined from the second data over the long second period using the second reference.

With such a configuration, for example, the monitoring device 111 can determine a measurement value abnormality over a relatively short period of time, and the analysis device 151 can determine a measurement value abnormality over a relatively long period of time. Thereby, it is possible to determine abnormality in a plurality of types of periods while suppressing the data capacity and processing load in the analysis device 151. In addition, abnormalities over different periods are determined in a distributed manner, and the processing capacity, data accumulation amount, transmission band, and the like can be optimized between the monitoring device 111 and the analysis device 151, and costs can be reduced.

Therefore, in the determination method according to the embodiment of the present invention, the abnormality determination of the solar power generation system can be improved.

In the determination method in the analysis device according to the embodiment of the present invention, first, the first based on the measurement result transmitted from the monitoring device 111 over the first period of the output of the power generation unit 78 including the solar cell panel 79. Receive data. Next, based on the received first data, second data with coarse temporal granularity of the first data is generated, and the second data over a second period longer than the first period is used as the second data. The abnormality relating to the power generation unit 78 is determined using the criterion of 2.

With such a configuration, for example, the monitoring device 111 can determine a measurement value abnormality over a relatively short period of time, and the analysis device 151 can determine a measurement value abnormality over a relatively long period of time. Thereby, it is possible to determine abnormality in a plurality of types of periods while suppressing the data capacity and processing load in the analysis device 151. In addition, abnormalities over different periods are determined in a distributed manner, and the processing capacity, data accumulation amount, transmission band, and the like can be optimized between the monitoring device 111 and the analysis device 151, and costs can be reduced.

Therefore, in the determination method according to the embodiment of the present invention, the abnormality determination of the solar power generation system can be improved.

It should be considered that the above embodiment is illustrative in all points and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

The above description includes the following features.
[Appendix 1]
A monitoring device that measures the output of the power generation unit including the solar battery panel and determines an abnormality related to the power generation unit using the first reference from the measurement result over the first period,
The monitoring device transmits first data based on the measurement result;
further,
Receiving the first data transmitted from the monitoring device, generating second data with coarse temporal granularity of the first data based on the received first data; An analysis device that determines an abnormality related to the power generation unit using a second reference from the second data over a second period longer than one period, wherein the power generation unit includes a plurality of solar cell panels connected in series A string,
The monitoring system, wherein the output of the power generation unit is generated power, current, or voltage of the power generation unit.

1 Output line 2, 4, 5 Aggregation line 3 Internal line 6 Cubicle 7 Copper bar 8 PCS
DESCRIPTION OF SYMBOLS 9 Power conversion part 11 Detection process part 12,81 Judgment part 14 Communication part 16 Current sensor 17 Voltage sensor 26 Power supply line 46 Signal line 60 Current collection unit 71 Current collection box 72,73,77 Copper bar 74 Solar cell unit 76 Connection box 78 power generation unit 79 solar panel 80 PCS unit 82 generation unit 83 notification unit 84 communication processing unit 85 storage unit 86 acquisition unit 111 monitoring device 131 collection device 151 analysis device 301 monitoring system 401 solar power generation system

Claims (8)

1. A monitoring device that measures the output of the power generation unit including the solar battery panel and determines an abnormality related to the power generation unit using the first reference from the measurement result over the first period,
   The monitoring device transmits first data based on the measurement result;
   further,
   Receiving the first data transmitted from the monitoring device, generating second data with coarse temporal granularity of the first data based on the received first data; A monitoring system comprising: an analysis device that determines an abnormality related to the power generation unit using a second reference from the second data over a second period longer than one period.
2. The analysis device generates the second data, generates third data with coarse temporal granularity of the second data based on the generated second data, and the second data The monitoring system according to claim 1, wherein an abnormality relating to the power generation unit is further determined using the third reference from the third data over a third period longer than the period.
3. The analysis device performs a process of notifying the abnormality determined by itself,
   The monitoring device performs processing for notifying the analysis device of the abnormality determined by itself,
   The monitoring system according to claim 1, wherein the analysis device performs a process of notifying the abnormality notified from the monitoring device.
4. 4. The method according to claim 1, wherein the type of abnormality determined using the first criterion is different from the type of abnormality determined using the second criterion. 5. Monitoring system.
5. The notification content of the abnormality determined using the first reference and the notification content of the abnormality determined using the second reference are different from any one of claims 1 to 3. The monitoring system described.
6. An analysis device in a monitoring system comprising a monitoring device that measures an output of a power generation unit including a solar cell panel and determines an abnormality related to the power generation unit using a first reference from a measurement result over a first period,
   A communication processing unit for receiving first data based on the measurement result transmitted from the monitoring device;
   Based on the first data received by the communication processing unit, second data with coarse temporal granularity of the first data is generated, and a second period longer than the first period is generated. An analysis device comprising: a determination unit that determines an abnormality related to the power generation unit using a second reference from the second data.
7. A determination method in a monitoring system,
   Measuring an output of the power generation unit including the solar battery panel, and determining an abnormality related to the power generation unit using a first reference from a measurement result over a first period;
   Receiving the first data based on the measurement result, generating second data with coarse temporal granularity of the first data based on the received first data, and the first period Determining an abnormality related to the power generation unit using a second reference from the second data over a longer second period.
8. A determination method in an analysis device in a monitoring system that includes a monitoring device that measures an output of a power generation unit including a solar battery panel and determines an abnormality related to the power generation unit using a first reference from a measurement result over a first period. And
   Receiving first data based on the measurement result transmitted from the monitoring device;
   Based on the received first data, second data having a coarser granularity in time is generated, and the second data over a second period longer than the first period is generated. And determining an abnormality related to the power generation unit using a second reference.
   
   

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