CN115642878B - Fault detection method and device for solar cell panel - Google Patents
Fault detection method and device for solar cell panel Download PDFInfo
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Abstract
The invention relates to the field of fault detection of solar panels, and aims to provide a fault detection method and a fault detection device of a solar panel, wherein the method comprises the following steps that 1, a data collection module collects electric energy information of each solar panel; step 2, calculating an environment consistency parameter of each solar panel by a data analysis module; and 3, judging whether the solar cell panel has a fault or not by the fault diagnosis module according to the environmental consistency parameters of the solar cell panel. According to the method, a set of environment consistency parameters are established for each solar cell panel through data mining, then index consistency detection is carried out on a target solar cell panel by using the environment consistency parameters, and if the consistency detection result does not pass, the solar cell panel is diagnosed to have faults, so that the purpose of carrying out high-efficiency intelligent diagnosis on the faults of the ubiquitous solar cell panel is achieved.
Description
Technical Field
The invention relates to the field of fault detection of a solar panel, in particular to a fault detection method and device of a solar panel.
Background
With the progress of industrialization, the human society has increased consumption of energy, and the shortage of energy becomes a problem of wide attention. In the process of popularizing new energy, the solar cell panel is most widely used in popularization and popularization speed due to convenient use, and is applied to the fields of lamp power supplies (such as black light lamps, tapping lamps, fishing lamps, yard lamps, mountain climbing lamps, street lamps, portable lamps, camping lamps, energy-saving lamps and the like), photovoltaic power stations, automobile power supplies, small power supplies (used for military and civil life power supplies such as illumination, televisions, radio recorders and the like in remote powerless areas such as plateaus, islands, pastoral areas, frontier sentries and the like), communication/communication fields (such as rural carrier telephone photovoltaic systems, small communicators, soldier GPS power supplies; solar unattended microwave relay stations, optical cable maintenance stations, broadcast/communication/paging power supply systems and the like), traffic fields (such as overhead barrier lamps, navigation mark lamps, traffic warning/warning lamps, traffic/flight signal lamps, street lamps, highways/space radio telephone kiosks, unmanned road power supplies and the like), oil/ocean/weather field and the like.
However, since the new energy power generation technology is in a development starting stage, a plurality of immature devices exist, and a plurality of faults exist in the equipment in practical application, taking a solar cell panel as an example, the key problems that the power generation efficiency of the solar cell panel is rapidly reduced along with the service time, the energy storage level is also rapidly reduced along with the service time, the degradation speed among the equipment has larger randomness, and the like easily occur, if the solar cell panel is not timely replaced in operation and maintenance, the effect of the nearby consumption of the solar cell panel laid in the budget on relieving the traditional energy supply pressure cannot be expected, and further the social life is influenced due to the fact that the electric energy supply is lacked. However, in the prior art, a main method for detecting the fault of the solar cell panel is that technical staff performs manual judgment, the fact that manual operation efficiency is low necessarily limits an industrial popularization process, and the equipment which is not monitored is difficult to operate and maintain, so that the equipment is difficult to be used commercially and widely, and therefore, the improvement of the fault detection efficiency of new energy equipment in the new energy popularization process is a basis of equipment closed-loop operation and maintenance, is a key support of industrialization, and is a key problem to be solved in the industry.
Disclosure of Invention
The invention aims to provide a fault detection method and a fault detection device for a solar cell panel, which aim to efficiently and intelligently diagnose the fault of the ubiquitous solar cell panel.
The fault detection method of a solar cell panel is characterized by comprising the following steps of 1, collecting electric energy information of each solar cell panel by a data collection module; step 2, calculating an environment consistency parameter of each solar panel by a data analysis module; and 3, judging whether the solar cell panel has faults or not by the fault diagnosis module according to the environment consistency parameters of the solar cell panel.
Preferably, in step 1, the method for collecting information by the data collecting module of each solar cell panel built-in networking terminal includes: the data collection module is used for configuring the Internet of things terminal to periodically report the electric energy information and then collecting the electric energy information of the solar cell panel obtained by periodically reporting the information from the Internet of things terminal;
or, in the step 1, after the data collection module sends an electric energy information query instruction to the internet of things terminal module, the internet of things terminal reports the electric energy information of the solar cell panel, and thus, the electric energy information of the solar cell panel is collected.
Preferably, the electric energy information at least includes energy storage information and capacity information, the energy storage information is used to represent the electric energy value currently stored by the solar panel, the capacity information is used to represent the capacity value of the solar panel within one time granularity, and one time granularity is completed through configuration.
Further, the time granularity is configured as a reporting period or a time interval between two adjacent queries.
Preferably, in the step 2, the method for calculating the environmental consistency parameter of the solar panel comprises:
step 2.1, summarizing the solar panels into a list, which is defined as ListA;
2.2, acquiring a solar panel K, and deleting the K from the ListB;
step 2.3, acquiring a position coordinate Pos _ K of the solar cell panel K;
step 2.4, finding out a solar panel set which takes the coordinate Pos _ K as the center and is within the radius R from the ListA to form a ListC;
step 2.5, calculating the energy storage mean value of each member in ListC
Greater than the mean value of stored energy
Member list ListC _ S _ bt of (1)
And average productivity
Greater than the average of productivity
ListC _ O _ bt is a member list of
Wherein:
wherein X i The energy storage information of each member of the ListC is formed into elements of a set, I is an integer and is more than or equal to 1 and less than or equal to I, wherein I is the number of the members of the ListC;
X bt set of energy storage information, X, representing members of ListC _ S _ bt bt From x bt,j The number of the members is represented by j which is an integer and is more than or equal to 1 and less than or equal to I1, wherein I1 is the number of ListC _ S _ bt members;
y w the capacity information of each member of ListC is formed into elements of a set, w is an integer and is more than or equal to 1 and less than or equal to I, wherein I is the number of the members of ListC;
Y bt by y bt,v The number of the members is V, the value of v is an integer, v is more than or equal to 1 and less than or equal to I2, wherein I2 is the number of the members of ListC _ O _ bt;
step 2.6, mixing
、
、
、
As the environmental consistency parameter of the solar panel K, a data structure { solar panel K number is constructed
、
、
、
Store it in ListH;
and 2.7, outputting ListH information list information.
Preferably, the step 3, the method for judging whether the solar cell panel has the fault according to the environmental consistency parameter of the solar cell panel by the fault diagnosis module is as follows:
step 3.1, obtaining a solar panel K, taking out the environmental consistency parameters of the K from the ListH, and assigning the parameters to a value
、
、
、
；
Step 3.2, if
Is equal to 0, then
=
* threshold _ zero, otherwise
= 
－
*Ratio0，
If it is not
Is equal to 0, then
=
* threshold _ zero, otherwise
=
- 
* Ratio1, wherein the Ratio0, the Ratio1 and the threshold _ zero are completed through configuration;
Step 3.3, if the energy storage of the solar cell panel K is less than
Or the productivity of the solar panel K is less than that of the solar panel K
If the solar cell panel K is abnormal, the number of the solar cell panel K is written into List _ broken;
and 3.4, outputting the List _ Broken, wherein the List _ Broken is the solar cell panel with the fault.
And preferably, information collection and fault diagnosis are performed according to the specification of the solar cell panel.
Preferably, the values of Ratio0 and Ratio1 are both 5, and the threshold zero configuration is 70%;
a failure detection apparatus of a solar cell panel, comprising:
the data collection module is responsible for collecting electric energy information of each solar cell panel;
the data analysis module is responsible for calculating the environment consistency parameters of each solar panel;
and the module assigns a value to judge whether the solar cell panel has a fault according to the environmental consistency parameter of the solar cell panel.
Compared with the prior art, the invention has the following advantages and beneficial effects: by adopting the method, based on big data thinking, based on the high correlation degree of illumination distribution and energy consumption distribution in the physical adjacent area, a set of environment consistency parameters are established for each solar cell panel through data mining, then index consistency detection is carried out on a target solar cell panel by utilizing the environment consistency parameters, and if the consistency detection result does not pass, the solar cell panel is diagnosed to have a fault, so that the purpose of carrying out high-efficiency intelligent diagnosis on the fault of the ubiquitous solar cell panel is realized.
Drawings
FIG. 1 is a flow chart illustrating a method for detecting faults of a solar panel;
FIG. 2 is a schematic diagram of a fault detection device for a solar panel;
fig. 3 is a schematic diagram of an application field of a fault detection device of a solar panel.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
A method for detecting a fault of a solar panel, as shown in fig. 1, specifically includes the following steps:
step 1, a data collection module collects electric energy information of each solar cell panel;
step 2, calculating an environment consistency parameter of each solar panel by a data analysis module;
and 3, judging whether the solar cell panel has faults or not by the fault diagnosis module according to the environment consistency parameters of the solar cell panel.
In the step 1, the method for collecting information by the data collecting module of each solar panel built-in internet-of-things terminal includes: the data collection module is configured with the Internet of things terminal to periodically report electric energy information and then collect the electric energy information of the solar cell panel obtained by periodically reporting the information from the Internet of things terminal, or the data collection module sends an electric energy information query instruction to the Internet of things terminal module and then the Internet of things terminal reports the electric energy information of the solar cell panel, so that the electric energy information of the solar cell panel is collected.
In the step 1, the electric energy information at least includes energy storage information and capacity information, the energy storage information is used to represent an electric energy value currently stored by the solar panel, the capacity information is used to represent a capacity value of the solar panel within a time granularity, one time granularity is completed through configuration, and preferably, one time granularity is configured as a reporting period or a time interval between two adjacent queries.
In the step 2, the method for calculating the environmental consistency parameter of each solar panel is as follows:
step 2.1, summarizing the solar panels into a list, defining the list as ListA, and assigning the ListA to ListB;
2.2, judging whether the ListB is empty, if so, skipping to the step 2.7, and if not, acquiring a solar panel K from the ListB and deleting the K from the ListB;
step 2.3, acquiring a position coordinate Pos _ K of the solar cell panel K;
step 2.4, finding out a solar panel set which takes the coordinate Pos _ K as the center and is within the radius R from the ListA to form a ListC;
step 2.5, calculating the energy storage mean value of each member in ListC
Greater than the mean value of stored energy
Member list ListC _ S _ bt of (a)
Average capacity
Greater than the average of productivity
ListC _ O _ bt is a member list of
The calculation method of each parameter refers to the formulas (1), (2), (3) and (4), wherein X in the four formulas i The information is set elements formed by the energy storage information of each member of the ListC, and the values of I are 1, 2, 3, and I, wherein I is the number of the members of the ListC; x bt Set of energy storage information, X, representing members of ListC _ S _ bt bt From x bt,j The number of the members is 1, 2, 3, 1, and the value of j is I1, wherein I1 is the number of ListC _ S _ bt members; y is w The production capacity information of each member of the ListC is formed into elements of a set, and the values of w are 1, 2, 3, 1.. And I, wherein I is the number of the members of the ListC; y is bt By y bt,v The number of the members is 1, 2, 3 and I2, wherein I2 is the number of ListC _ O _ bt members;
step 2.6, mixing
、
、
、
As an environmental consistency parameter of the solar panel K, a data structure { the solar panel K number,
、
、
、
storing the data into a ListH, and jumping to the step 2.2;
and 2.7, outputting ListH information list information.
The step 3 of judging whether the solar cell panel has a fault according to the environmental consistency parameter of the solar cell panel by the fault diagnosis module is as follows:
step 3.1, judging whether the ListA is empty, if so, skipping to step 3.4, otherwise, acquiring a solar panel K from the ListA, taking out the environmental consistency parameters of the K from the ListH, and assigning the environmental consistency parameters to the ListH
、
、
、
Then deleting K from ListA;
step 3.2, calculating:
if it is not
Is equal to 0, then
=
* threshold _ zer, otherwise
= 
－ 
*Ratio0，
If it is not
Is equal to 0, then
=
* threshold _ zero, otherwise
= 
－
* The Ratio1, the Ratio0, the Ratio1 and the threshold _ zero are completed through configuration, preferably, the Ratio0 and the Ratio1 take values of 5, and the threshold _ zero configuration is 70%;
step 3.3, if the energy storage of the solar cell panel K is less than
Or the productivity of the solar panel K is less than that of the solar panel K
If yes, diagnosing the abnormality of the solar cell panel K, writing the serial number of the solar cell panel K into List _ broken, and skipping to the step 3.1; if the stored energy of the solar panel K is less than
Or the productivity of the solar panel K is less than that of the solar panel K
If the' is not true, directly jumping to the step 3.1;
and 3.4, outputting a List _ Broken, wherein the List _ Broken is the solar cell panel with the fault.
In step 1, 2, 3, collect the electric energy information of each solar cell panel, carry out information collection and failure diagnosis according to solar cell panel's specification, the information of different solar cell panel specifications separately collects and independently carries out corresponding processing according to step 2, step 3, for example: if two specifications of a solar cell panel specification A and a solar cell panel specification B are used in the application, the method of the invention is adopted, firstly fault diagnosis is carried out on the solar cell panel of one specification according to the steps 1, 2 and 3, and then fault diagnosis is carried out on the solar cell panel of the rest specification according to the steps 1, 2 and 3;
fig. 2 is a schematic diagram illustrating an exemplary embodiment of a fault detection apparatus for a solar panel according to the present invention.
As shown in fig. 2, a fault detection apparatus of a solar cell panel includes: the system comprises a data collection module, a data analysis module and a fault diagnosis module, wherein the functions of the modules are described as follows:
the data collection module is responsible for collecting electric energy information of each solar cell panel;
the data analysis module is responsible for calculating the environment consistency parameters of each solar panel;
and the module assigns a value to judge whether the solar cell panel has a fault according to the environmental consistency parameter of the solar cell panel.
The following describes a specific embodiment of a fault detection device for a solar panel with specific examples:
example (b): as shown in fig. 3, this embodiment is an application scenario in which a street lamp along a road is provided with a solar panel for supplying power, and the embodiment includes 16 street lamps, namely street lamp 0, street lamp 1, street lamp 2, street lamp 3, street lamp 4, street lamp 5, street lamp 6, street lamp 7, street lamp 8, street lamp 9, street lamp 10, street lamp 11, street lamp 12, street lamp 13, street lamp 14, and street lamp 15, wherein each street lamp is provided with a solar panel, the street lamps are supplied with power by fusing the solar panels and the conventional energy source, and the solar panels are used for generating power from solar energy to supplement the power supplied to the street lamps, so as to relieve the pressure of the conventional power supply to a certain extent. The embodiment will generate how our invention excavates consistency parameters based on big data thinking, and the intelligent and efficient monitoring of the faults of the solar cell panel is realized through the judgment of the consistency parameters.
In the embodiment, the solar cell panel has only one specification, and the data collection module is used for configuring the internet of things terminal equipped by each solar cell panel to periodically report the energy storage information and the capacity information;
in the period P0, the data collection module receives the energy storage information S and the capacity information O reported by the 16 street lamps in fig. 3, which are detailed in table 1;
TABLE 1 electric energy information of solar cell panel collected at P0 moment
Then, the data analysis module calculates the environmental consistency parameter of each solar panel, specifically referring to step 2.1 to step 2.7, firstly, according to step 2.1, the solar panels are collected into a list, defined as ListA, and the ListA is assigned to ListB, at this moment, the data of ListA and ListB are detailed in table 1, then according to step 2.2, the ListB is judged not to be empty, so that a solar panel K is obtained from the ListB, and the K is deleted from the ListB, in this embodiment, the K corresponds to the street lamp number 2, and then according to step 2.3, the position coordinate Pos _ K of the solar panel K is obtained; next, according to step 2.4, a set of solar panels within the radius R and centered on the coordinate Pos _ K is found from ListA, so as to form ListC, i.e. table 2.
Table 2 list c information composed of street lamps 2 as center radius R
ListC in this embodiment includes elements: street lamp 1, street lamp 3, street lamp 13, street lamp 14; then, according to step 2.5, the mean energy storage value of each member in ListC is calculated
Equal to 91.25, greater than the mean energy storage value
List _ S _ bt [ remarks: energy storage standard deviation corresponding to (street lamp 1, street lamp 13 and street lamp 14) ]
Equal to 1.2472, average capacity
Equal to 180.5 and larger than the average capacity
List _ O _ bt [ remarks: corresponding to the productivity standard deviation of (street lamp 1, street lamp 13)
Equal to 1.5, and then, according to step 2.6, the
、
、
、
Constructing data as environmental consistency parameters of a solar panel KThe structure { the solar panel K is numbered,
、
、
、
storing the information of the member in ListH, namely the ListH comprises a member, the information of the member is { street lamp 2, 91.25,1.2472,180.5,1.5}, skipping to the step 2.2, then repeatedly calculating each solar cell panel according to the same steps to obtain a ListH information list, in the embodiment, the street lamp 9 is taken as the center, the solar cell panel sets within the radius R are { street lamp 6, street lamp 7, street lamp 8, street lamp 10}, see the table 3 in detail, the information of the member in the calculation result is { street lamp 9, 88.5,0.8165,180,3.5}, and the information of the member in ListH is not listed.
Table 3 ListC information consisting of street lamps 9 as the center radius R
Then, according to step 3, the fault diagnosis module determines whether the solar panel has a fault according to the environmental consistency parameter of the solar panel, with reference to steps 3.1 to 3.4, first, according to step 3.1, it determines that ListA is not empty, and then obtains a solar panel K (street lamp 2 obtained here in the embodiment) from ListA, and takes out the environmental consistency parameter of K (street lamp 2) from ListH, and assigns the environmental consistency parameter to the ListH
、
、
、
At this time
Equal to the value of 91.25,
equal to 1.2472 of the total weight of the composition,
equal to 180.5, are,
equal to 1,5, and then K (i.e., street lamp 2) is deleted from ListA, which only has 15 members left; then according to step 3.2, calculate
=
-
*Ratio0，
=
- 
* Ratio1, in this embodiment, the values of Ratio0 and Ratio1 are both 5, and then the result is obtained
Equal to the value of 85.0139,
173, then according to step 3.3, since the energy storage of the street light 2 is equal to 10 (less than)
85.0139), capacity equal to 100 (less than
173), the determination result is "the stored energy of the solar cell panel K is less than
Or the productivity of the solar panel K is less than that of the solar panel K
If yes, diagnosing that the solar panel corresponding to the street lamp 2 is in fault, and writing the number of the solar panel K (namely the number of the street lamp 2) into the List _ broken;
then, the same method is used to diagnose faults of other solar panels, taking the solar panel corresponding to the street lamp 9 as an example (the street lamp 9 is taken as the center, and the solar panel set within the radius R is { street lamp 6, street lamp 7, street lamp 8, street lamp 10 }), referring to the calculation process of the street lamp 2, and finally, a fault diagnosis method can be obtained
Equal to the value of 83.5, and,
equal to 162.5, since the stored energy of the street lamp 9 is equal to 10 (less than)
83.5) capacity equal to 170 (greater than
I.e., 162.5), the determination result is "the stored energy of the solar panel K is less than
Or the productivity of the solar panel K is less than that of the solar panel K
If yes, diagnosing that the solar panel corresponding to the street lamp 9 is in fault, and writing the number of the solar panel K (namely the number of the street lamp 9) into the List _ broken;
then, the same method is used to perform fault diagnosis on other solar panels, taking the solar panel corresponding to the street lamp 4 as an example (the street lamp 4 is taken as the center, the solar panels within the radius R are collected as { street lamp 3, street lamp 5, street lamp 11, street lamp 12 }), and the calculation result is
Equal to 60.5 of the total weight of the composition,
equal to 150.5, since the stored energy of street lamp 4 is equal to 90 (greater than)
I.e., 60.5), capacity equals 175 (greater than)
I.e., 150.5), the determination result is that "the stored energy of the solar cell panel K is less than
Or the productivity of the solar panel K is less than that of the solar panel K
"is not true, so the diagnosis street lamp 4 has no fault, and the diagnosis processes of the solar panels corresponding to other street lamps are the same as above, in this embodiment, the solar panels of the street lamps 0, 1, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, and 15 are all normal, and finally the List _ brooken includes two members, i.e., the street lamp 2 and the street lamp 9.
It can be seen from the above embodiments that, by adopting the method of the present invention, based on big data thinking, based on the high correlation degree of the illumination distribution and the energy consumption distribution of the physical adjacent region, a set of environment consistency parameters is established for each solar panel through data mining, then index consistency detection is performed on a target solar panel by using the environment consistency parameters, if the consistency detection result fails, a fault is diagnosed for the solar panel, and efficient intelligent diagnosis can be performed on the fault of the ubiquitous solar panel.
Claims (9)
1. A fault detection method of a solar cell panel is characterized by comprising the following steps:
step 1, a data collection module collects electric energy information of each solar cell panel;
step 2, calculating an environment consistency parameter of each solar panel by a data analysis module;
and 3, judging whether the solar cell panel has faults or not by the fault diagnosis module according to the environment consistency parameters of the solar cell panel.
2. The method of claim 1, wherein the method comprises:
in step 1, the method for collecting information by the data collection module of each solar cell panel built-in networking terminal includes: the data collection module is configured with the electric energy information periodically reported by the terminal of the Internet of things and then collects the electric energy information of the solar cell panel obtained by periodically reporting the information by the terminal of the Internet of things;
or, in step 1, the data collection module sends an electric energy information query instruction to the internet of things terminal module, and then the internet of things terminal reports the electric energy information of the solar cell panel, so as to collect the electric energy information of the solar cell panel.
3. The method of claim 2, wherein the method comprises:
the electric energy information at least comprises energy storage information and capacity information, the energy storage information is used for representing the electric quantity value currently stored by the solar panel, the capacity information is used for representing the capacity value of the solar panel within one time granularity, and one time granularity is completed through configuration.
4. A method of detecting faults in a solar panel as claimed in claim 3, wherein:
the time granularity is configured as a reporting period or a time interval between two adjacent queries.
5. A method of detecting faults in a solar panel as claimed in claim 2 or 3 or 4, wherein:
in the step 2, the method for calculating the environmental consistency parameters of the solar panel comprises the following steps:
step 2.1, summarizing the solar panels into a list, and defining the list as ListA;
2.2, acquiring a solar panel K, and deleting the K from the ListB;
step 2.3, acquiring a position coordinate Pos _ K of the solar panel K;
step 2.4, finding out a solar panel set which takes the coordinate Pos _ K as the center and is within the radius R from the ListA to form a ListC;
step 2.5, calculating the energy storage mean value of each member in ListC
Greater than the mean value of stored energy
Member list ListC _ S _ bt of (a)
And average productivity
Greater than the average of productivity
ListC _ O _ bt is a member list of
Wherein:
wherein X i The energy storage information of each member of the ListC is formed into elements of a set, I is an integer and is more than or equal to 1 and less than or equal to I, wherein I is the number of the members of the ListC;
X bt set of stored energy information, X, representing members of ListC _ S _ bt bt From x bt,j The number of the members is represented by j which is an integer and is more than or equal to 1 and less than or equal to I1, wherein I1 is the number of the members of ListC _ S _ bt;
y w the capacity information of each member of ListC is formed into elements of a set, w is an integer and is more than or equal to 1 and less than or equal to I, wherein I is the number of the members of ListC;
Y bt by y bt,v Member composition, v takes the value ofv is an integer and v is more than or equal to 1 and less than or equal to I2, wherein I2 is the number of ListC _ O _ bt members;
step 2.6, mixing
、
、
、
As an environmental consistency parameter of the solar panel K, a data structure { the solar panel K number,
、
、
、
store it in ListH;
and 2.7, outputting ListH information list information.
6. The method of claim 5, wherein the step of detecting the failure of the solar panel comprises the steps of:
the step 3 of judging whether the solar cell panel has a fault according to the environmental consistency parameter of the solar cell panel by the fault diagnosis module is as follows:
step 3.1, obtaining a solar panel K, taking out the environmental consistency parameters of the K from the ListH, and assigning the parameters to a value
、
、
、
；
Step 3.2, if
Is equal to 0, then
=
* threshold _ zero, otherwise
= 
－
*Ratio0，
If it is used
Is equal to 0, then
=
* threshold _ zero, otherwise
=
－
* The Ratio1, the Ratio0, the Ratio1 and the threshold _ zero are completed through configuration;
step 3.3, if the energy storage of the solar cell panel K is less than
Or the productivity of the solar panel K is less than that of the solar panel K
If the solar cell panel K is abnormal, the number of the solar cell panel K is written into List _ broken;
and 3.4, outputting the List _ Broken, wherein the List _ Broken is the solar cell panel with the fault.
7. The method of claim 6, wherein the method comprises:
and collecting information and diagnosing faults according to the specification of the solar cell panel.
8. The method of claim 6, wherein the step of detecting the failure of the solar panel comprises:
both Ratio0 and Ratio1 take on values of 5, and the threshold zero configuration is 70%.
9. The utility model provides a fault detection device of solar cell panel which characterized in that:
the method comprises the following steps: the system comprises a data collection module, a data analysis module and a fault diagnosis module, wherein the data collection module is responsible for collecting electric energy information of each solar cell panel, the data analysis module is responsible for calculating environment consistency parameters of each solar cell panel, and the fault diagnosis module is assigned to judge whether the solar cell panels have faults or not according to the environment consistency parameters of the solar cell panels.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104767481A (en) * | 2015-04-28 | 2015-07-08 | 北京汉能光伏投资有限公司 | Method and system for monitoring working state of solar photovoltaic power station |
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| US20160036373A1 (en) * | 2014-07-31 | 2016-02-04 | Fraunhofer Usa, Inc. | Photovoltaic systems and related techniques |
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| CN106301213A (en) * | 2015-06-11 | 2017-01-04 | 天泰管理顾问股份有限公司 | Solar energy equipment diagnostic method |
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