CN115642878A - Fault detection method and device for solar cell panel - Google Patents
Fault detection method and device for solar cell panel Download PDFInfo
- Publication number
- CN115642878A CN115642878A CN202211429690.3A CN202211429690A CN115642878A CN 115642878 A CN115642878 A CN 115642878A CN 202211429690 A CN202211429690 A CN 202211429690A CN 115642878 A CN115642878 A CN 115642878A
- Authority
- CN
- China
- Prior art keywords
- solar cell
- cell panel
- panel
- solar
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
Landscapes
- Photovoltaic Devices (AREA)
Abstract
The invention relates to the field of fault detection of a solar panel, 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 faults or not by the fault diagnosis module according to the environment 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 consumption of human society on energy is increasing day by day, and the shortage of energy becomes a problem of wide attention of society. In the process of popularizing new energy, the solar cell panel is most widely used in aspects of popularization and popularization speed due to convenient use, and is applied to the fields of lamp power supplies (such as black light lamps, rubber 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 civil and military electricity consumption in remote and powerless areas such as plateaus, islands, pastoral areas, frontier sentries and the like, such as illumination, televisions, radio recorders 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, broadcasting/communication/paging power supply systems and the like), traffic fields (such as overhead barrier lamps, beacon lamps, traffic warning/railway radio kiosks, unattended power supplies and the like), petroleum/ocean/meteorological fields 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 equipment in practical application, taking a solar cell panel as an example, key problems that the power generation efficiency of the solar cell panel is rapidly reduced along with the use time, the energy storage level is also rapidly reduced, the degradation speed among the equipment is high in randomness and the like easily occur, if timely operation and maintenance replacement is not performed, the effect of nearby consumption of the solar cell panel laid in a 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 deficient. However, in the prior art, a main method for detecting the faults of the solar cell panel is to perform manual judgment by technicians, the fact that the efficiency of manual operation is low necessarily limits the 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 in large-scale commercial and widely popularized.
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 method for detecting the faults of the solar panels is characterized by comprising the following steps of 1, collecting electric energy information of each solar 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 a fault or not by the fault diagnosis module according to the environmental 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 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.
Preferably, the electric energy information at least includes energy storage information and capacity information, the energy storage information is used to represent the current electric quantity value stored by the solar panel, the capacity information is used to represent the capacity value of the solar panel within a 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 step 2, the method for calculating the environmental consistency parameter of the solar panel includes:
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 panel K;
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 ListCGreater than the mean value of stored energyMember list ListC _ S _ bt of (a)Average capacityGreater than the average of productivityListC _ O _ bt of Member ListC _ O _ btWherein:
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 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 of 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:
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、、、;
If it is notIs 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 thanOr the productivity of the solar panel K is less than that of the solar panel KIf so, diagnosing the abnormality of the solar cell panel K, and writing the serial number of the solar cell panel K 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 arrangement 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 collects 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 inquiry 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, collecting the solar panels into a list, defining the list as ListA, and assigning the ListA to a 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 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 ListCGreater than the mean value of stored energyMember list ListC _ S _ bt of (1)And average productivityGreater than the average of productivityListC _ O _ bt of Member ListC _ O _ btThe calculation method of each parameter refers to the formulas (1), (2) and (3),(4) X in the four formulae i The value of I is 1, 2, 3, and I, wherein I is the number of members of 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, the method of 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, 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 notIs equal to 0, then=* threshold _ zero, otherwise= -* Ratio1, wherein the Ratio0, the Ratio1 and the threshold _ zero are completed through configuration, preferably, the values of Ratio0 and Ratio1 are both 5, and the value of threshold \/zero configuration is 70%;
step 3.3, if the energy storage of the solar cell panel K is less thanOr the productivity of the solar panel K is less than that of the solar panel KIf 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 toStep 3.1; if the stored energy of the solar panel K is less thanOr the productivity of the solar panel K is less than that of the solar panel KIf 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 each solar cell panel's electric energy information, 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:
the embodiment is as follows: 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 calculatedEqual to 91.25, greater than the mean energy storage valueList _ S _ bt [ remarks: energy storage standard deviation corresponding to (street lamp 1, street lamp 13 and street lamp 14) ]Equal to 1.2472, average capacityEqual to 180.5 and larger than the average productivityList _ O _ bt [ remarks: corresponding to the productivity standard deviation of (street lamp 1, street lamp 13)Equal to 1.5, followed by a reaction according to step 2.6,Handle、、、As the environmental consistency parameter of the solar panel K, a data structure { the solar panel K number,、、、storing the information of the member into 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 step 2.2, then repeatedly calculating each solar panel according to the same steps to obtain a ListH information list, in the embodiment, the street lamp 9 is the center, the solar panel set within the radius R is { street lamp 6, street lamp 7, street lamp 8, street lamp 10}, see table 3 in detail, the calculation result member information is { street lamp 9, 88.5,0.8165,180,3.5}, and the ListH does not list the member information.
Table 3 list c information with street lamp 9 as the center radius R
Next, according to step 3, a fault diagnosis module determines environmental consistency parameters of the solar panelJudging whether the solar panel has a fault, specifically referring to steps 3.1 to 3.4, firstly judging that the ListA is not empty according to the step 3.1, then acquiring a solar panel K (street lamp 2 obtained here in the embodiment) from the ListA, taking out the environmental consistency parameter of the K (namely street lamp 2) from the ListH, and assigning the environmental consistency parameter to the street lamp 2、、、At this timeEqual 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 obtainedEqual 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) and the capacity is equal to 100 (less than173), the determination result is "the stored energy of the solar cell panel K is less thanOr the productivity of the solar panel K is less than that of the solar panel KIf 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 the 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 obtaining the fault diagnosis resultIs equal to the value of 83.5,equal to 162.5, since the stored energy of the street light 9 is equal to 10 (less than)83.5) capacity equal to 170 (greater thanI.e., 162.5), the determination result is "the stored energy of the solar panel K is less thanOr the productivity of the solar panel K is less than that of the solar panel KIf 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;
next, the same method is used to diagnose the faults of 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 set to be { street lamp 3, street lamp 5, street lamp 11, street lamp 12 }), and the calculation result isIs equal to 60.5 of the total weight of the rubber,equal to 150.5, since the stored energy of street lamp 4 is equal to 90 (greater than)I.e., 60.5), capacity equal to 175 (greater than)I.e., 150.5), the determination result is that "the stored energy of the solar cell panel K is less thanOr the productivity of the solar panel K is less than that of the solar panel K"is not true, therefore, the diagnosis street lamp 4 has no fault, and the diagnosis processes of the solar panels corresponding to the 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 using 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 neighboring area, a set of environment consistency parameters is established for each solar cell panel through data mining, then, the index consistency detection is performed on the target solar cell panel by using the environment consistency parameters, and if the consistency detection result fails, the solar cell panel is diagnosed to have a fault, and the fault of the ubiquitous solar cell panel can be efficiently and intelligently diagnosed.
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 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 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 step of detecting the failure of the solar panel comprises the steps of:
the electric energy information at least comprises energy storage information and capacity information, wherein 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 a time granularity, and the 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 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 ListCGreater than the mean value of stored energyMember list ListC _ S _ bt of (a)And average productivityGreater than the average of productivityListC _ O _ bt of Member ListC _ O _ btWherein:
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 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 The v is an integer and 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 the 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 method comprises:
the step 3, the method of 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 environment consistency parameter of the K from the ListH, and assigning the parameter to a value、、、;
If it is notIs 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 thanOr the productivity of the solar panel K is less than that of the solar panel KIf so, diagnosing the abnormality of the solar cell panel K, and writing the serial number of the solar cell panel K into List _ broken;
and 3.4, outputting a 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 method comprises:
both Ratio0 and Ratio1 take on values of 5, and the threshold zero configuration is 70%.
9. The utility model provides a solar cell panel's fault detection device 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.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211429690.3A CN115642878B (en) | 2022-11-16 | 2022-11-16 | Fault detection method and device for solar cell panel |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211429690.3A CN115642878B (en) | 2022-11-16 | 2022-11-16 | Fault detection method and device for solar cell panel |
Publications (2)
Publication Number | Publication Date |
---|---|
CN115642878A true CN115642878A (en) | 2023-01-24 |
CN115642878B CN115642878B (en) | 2023-02-28 |
Family
ID=84949632
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211429690.3A Active CN115642878B (en) | 2022-11-16 | 2022-11-16 | Fault detection method and device for solar cell panel |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115642878B (en) |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
US20160036373A1 (en) * | 2014-07-31 | 2016-02-04 | Fraunhofer Usa, Inc. | Photovoltaic systems and related techniques |
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 |
CN108306614A (en) * | 2018-02-09 | 2018-07-20 | 无锡英臻科技有限公司 | A kind of photovoltaic plant method for diagnosing faults |
CN111614316A (en) * | 2020-06-16 | 2020-09-01 | 国网电子商务有限公司 | Photovoltaic system power generation state monitoring method and device |
CN113708490A (en) * | 2021-08-18 | 2021-11-26 | 合肥阳光智维科技有限公司 | Abnormity detection method and device for photovoltaic power generation tracking system and storage medium |
-
2022
- 2022-11-16 CN CN202211429690.3A patent/CN115642878B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20160036373A1 (en) * | 2014-07-31 | 2016-02-04 | Fraunhofer Usa, Inc. | Photovoltaic systems and related techniques |
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 |
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 |
CN108306614A (en) * | 2018-02-09 | 2018-07-20 | 无锡英臻科技有限公司 | A kind of photovoltaic plant method for diagnosing faults |
CN111614316A (en) * | 2020-06-16 | 2020-09-01 | 国网电子商务有限公司 | Photovoltaic system power generation state monitoring method and device |
CN113708490A (en) * | 2021-08-18 | 2021-11-26 | 合肥阳光智维科技有限公司 | Abnormity detection method and device for photovoltaic power generation tracking system and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN115642878B (en) | 2023-02-28 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106895358B (en) | Lithium-electricity solar internet-of-things lamp system | |
CN103441520A (en) | Micro-grid distribution type new energy storage system | |
CN111799840B (en) | Off-grid and grid-connected integrated power supply control method and system | |
CN108539771B (en) | Energy monitoring and management system based on energy storage device and management method thereof | |
CN104932281A (en) | Household micro-power-grid energy-using system and realization method for intelligent electricity consumption interaction thereof | |
CN203406664U (en) | Micro-grid distributed new energy storing device | |
CN113315155A (en) | Distributed energy power generation and V2G hybrid system | |
CN103346604A (en) | Data acquiring and monitoring device powered by solar energy | |
CN113191542A (en) | Wisdom environmental protection carbon emission management service platform | |
CN117033927A (en) | Subway station carbon emission real-time monitoring prediction analysis method and prediction analysis method | |
CN106026890A (en) | Solar panel cleaning reminding device and cleaning reminding method | |
CN114035491B (en) | Green intelligent pumping unit system | |
CN103699088B (en) | A kind of base station oil engine dispatching management information system based on dynamic environment monitoring and method | |
CN104467198A (en) | Electric energy storage system based on online distribution | |
CN114678891A (en) | Comprehensive energy multi-node cooperative control system and method | |
CN107679723B (en) | Networked remote testing method for new energy power generation grid-connected system | |
CN212541412U (en) | Big data platform for hydrogen energy industry | |
CN115642878B (en) | Fault detection method and device for solar cell panel | |
CN210652753U (en) | Store and trade electric formula new energy automobile and fill electric pile | |
CN110212561A (en) | A kind of distributed battery energy-storage system of centralized dispatching | |
CN202798105U (en) | Wind and solar complemented intelligent control system of communication base station | |
CN115619159B (en) | Intelligent park energy consumption analysis scheduling method and system | |
CN116468302A (en) | Building park energy structure evaluation method, system, electronic equipment and storage medium | |
CN208224887U (en) | A kind of photovoltaic electric motor-car charging station control system of Internet of Things framework | |
CN107102592A (en) | A kind of energy-saving environment protection intelligent water supply managing and control system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |