CN116962392A - Transmission method of photovoltaic intelligent operation and maintenance data - Google Patents
Transmission method of photovoltaic intelligent operation and maintenance data Download PDFInfo
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- 230000005540 biological transmission Effects 0.000 title claims abstract description 73
- 238000012423 maintenance Methods 0.000 title claims abstract description 37
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000012545 processing Methods 0.000 claims abstract description 12
- 238000012544 monitoring process Methods 0.000 claims description 113
- 238000004891 communication Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 claims description 6
- 238000012106 screening analysis Methods 0.000 claims description 5
- 238000012163 sequencing technique Methods 0.000 claims description 2
- 230000002159 abnormal effect Effects 0.000 abstract description 7
- 238000012216 screening Methods 0.000 abstract 1
- 238000004458 analytical method Methods 0.000 description 6
- 230000007547 defect Effects 0.000 description 3
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- 230000009286 beneficial effect Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S40/00—Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
- H02S40/30—Electrical components
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
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- Engineering & Computer Science (AREA)
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- Photovoltaic Devices (AREA)
Abstract
The invention discloses a transmission method of photovoltaic intelligent operation and maintenance data, which comprises the following steps: the invention relates to the technical field of data transmission, in particular to a method for collecting data in a data set, classifying and processing the data, establishing a comparison database, screening and analyzing the data and transmitting files. According to the invention, the comparison database is established, and then the data to be transmitted can be taken as abnormal data and bound into the transmission file according to the comparison database, so that only the abnormal data is processed, the transmission participation of a large amount of normal data is avoided, a large amount of repeated data can be reduced, the processing speed is greatly improved, the data transmission efficiency is improved, and the daily operation and maintenance efficiency is indirectly improved; by sorting the transmission files, the task can be prevented from being abandoned by a large number of users due to overlong response time, and when the number of the transmission files is large, the priority transmission of the transmission files can be realized, so that the smoothness of data transmission is improved, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of data transmission, in particular to a transmission method of photovoltaic intelligent operation and maintenance data.
Background
With the development of new energy technology, especially the large-scale construction of photovoltaic power stations, photovoltaic big data including voltage, current, temperature, SOH, SOC and the like need to be monitored in the intelligent operation and maintenance of the photovoltaic.
At present, a plurality of systems collect data of all components, and then all the data are transmitted without distinction, so that invalid occupation of a communication link is caused, the burden of a collector is increased, a large amount of repeated data are generated for a data center, and huge trouble is brought to processing of photovoltaic intelligent operation and maintenance data. In general, means such as increasing communication bandwidth, compressing data, preparing dedicated link transmission and the like are mainly utilized to ensure normal transmission of photovoltaic operation and maintenance data, however, as capacity expansion and equipment increase of a photovoltaic power station, data volume becomes larger and larger, and the original means are not effective any more.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a transmission method of photovoltaic intelligent operation and maintenance data, and solves the problems in the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a transmission method of photovoltaic intelligent operation and maintenance data comprises the following steps:
step one, data centralized acquisition
Acquiring serial numbers of all photovoltaic modules in a specified photovoltaic power station, operation and maintenance monitoring information of the photovoltaic modules with corresponding serial numbers and characteristic attributes of the operation and maintenance monitoring information, wherein the operation and maintenance monitoring information is monitoring data acquired by monitoring sensors at fixed time, and the characteristic attributes are monitoring data of different attributes detected by different monitoring sensors when all the photovoltaic modules are monitored;
step two, data classification processing
Establishing an equal number of attribute folders according to the number of the characteristic attributes in the operation and maintenance monitoring information, extracting monitoring data of the same characteristic attribute from the operation and maintenance monitoring information, and moving the monitoring data to the same attribute folder;
step three, establishing a comparison database
Acquiring monitoring data in a designated period from all the attribute folders, calculating the monitoring data in each attribute folder and in the designated period, comparing the calculation result with a preset comparison value, deleting unused monitoring data according to the comparison result, acquiring a group with the maximum value and a group with the minimum value from the reserved monitoring data, generating a comparison interval, and finally summarizing the comparison intervals generated by all the attribute folders to generate a comparison database;
step four, data screening analysis
Acquiring all monitoring data acquired in the approaching time from each attribute folder, respectively comparing all monitoring data in the same attribute folder with corresponding comparison intervals, acquiring monitoring data exceeding the corresponding comparison intervals according to comparison results, acquiring numbers of corresponding photovoltaic modules, and binding the monitoring data exceeding the corresponding comparison intervals and the numbers of the corresponding photovoltaic modules into a transmission file;
step five, file transmission
And transmitting the transmission file to a designated monitoring platform.
Preferably, the specific way of creating the comparison database in the third step is as follows:
b1, acquiring monitoring data in all attribute folders in a specified period;
b2, taking a set of attribute folders as an example, marking all monitoring data in the attribute folders as JCi, wherein i=1, 2, … …, n, i represents what number, JCi represents what number of the monitoring data, and n is the number of all monitoring data in the designated period in the attribute folder;
then through the formulaCalculate allA deviation value JCc of JCi, wherein JCp is the average of the corresponding JCi values in the calculation of the value JCc;
JCc is then compared with a preset contrast value JC 0:
if JCc is more than or equal to JC0, deleting corresponding JCi values in sequence from | JCi to JCp | until JCc is less than JC0, then acquiring all undeleted JCi, simultaneously acquiring a group JCi with the largest value and a group JCi with the smallest value in all undeleted JCi, marking the groups as JCmax and JCmin respectively, and taking the JCmin and JCmax as comparison intervals [ JCmin, JCmax ] of the characteristic attribute monitoring data;
and B3, acquiring comparison intervals of the monitoring data in all the attribute folders in the mode of the step B2, and summarizing all the comparison intervals to generate a comparison database.
Preferably, in step B2, if JCc < JC0, all monitoring data JCi are acquired in the attribute folder, and a maximum value group JCi and a minimum value group JCi are acquired therein and marked as JCmax and JCmin, respectively, and JCmin and JCmax are taken as the comparison intervals [ JCmin, JCmax ] of the characteristic attribute monitoring data.
Preferably, the file is transmitted in the fifth step through a wireless communication technology.
Preferably, in the fifth step, the first file is transferred in the following manner: and transmitting the transmission files to the appointed monitoring platform one by one.
Preferably, in the fifth step, the specific manner of file transfer is as follows: acquiring the quantity of corresponding monitoring data in each transmission file, and marking the quantity as Sj; then ordering Sj according to the size mode, generating a transmission sequence table, and then sequentially transmitting the transmission files to the monitoring platform in the transmission sequence table according to the sequence from front to back
Preferably, the manner of data screening analysis in step six is as follows:
selecting an attribute folder with a characteristic attribute, acquiring all monitoring data acquired in a close time in the attribute folder, and marking the acquired monitoring data as co-acquisition data TCj, wherein the close time is the time closest to the current time when the monitoring data are acquired at fixed time through a monitoring sensor;
c2, respectively matching all the co-sampled data TCj with the corresponding comparison interval [ JCmin, JCmax ], and if the value of the co-sampled data TCj is not located in the comparison interval [ JCmin, JCmax ], reserving the corresponding co-sampled data TCj;
and C3, acquiring the serial numbers of the reserved same-adopted data TCj corresponding to the photovoltaic modules, and binding the reserved same-adopted data TCj and the serial numbers of the corresponding photovoltaic modules into a transmission file.
Preferably, in step C2, if the value of the co-sampled data TCj is within the comparison interval [ JCmin, JCmax ], the corresponding co-sampled data TCj is deleted.
Advantageous effects
The invention provides a transmission method of photovoltaic intelligent operation and maintenance data. Compared with the prior art, the method has the following beneficial effects:
according to the invention, the comparison database is established, and then the data to be transmitted can be taken as abnormal data and bound into the transmission file according to the comparison database, so that only the abnormal data is processed, the transmission participation of a large amount of normal data is avoided, a large amount of repeated data can be reduced, the processing speed is greatly improved, the data transmission efficiency is improved, and the daily operation and maintenance efficiency is indirectly improved;
according to the invention, the transmission files are ordered, so that a large number of users can be prevented from giving up the execution of tasks due to overlong response time, when the number of the transmission files is large, the priority transmission of the transmission files can be realized, the transmission order is indirectly used as a target processing strategy, and then the data to be transmitted can be processed according to the target processing strategy, so that the rapid analysis of the photovoltaic module with the defects in time of a monitoring platform is facilitated, the smoothness of data transmission is improved, and the user experience is improved.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a schematic diagram of a comparison database creation process according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As an embodiment of the invention
Referring to fig. 1-2, the present invention provides a technical solution: a transmission method of photovoltaic intelligent operation and maintenance data comprises the following steps:
step one, data centralized acquisition
Collecting serial numbers of all photovoltaic modules in a specified photovoltaic power station, operation and maintenance monitoring information of the photovoltaic modules with corresponding serial numbers and characteristic attributes of the operation and maintenance monitoring information; the operation and maintenance detection information is monitoring data acquired by the monitoring sensors at regular time, and the characteristic attribute is monitoring data of different attributes detected by different monitoring sensors when all the photovoltaic modules are monitored;
if the current sensors monitor the corresponding photovoltaic modules to obtain corresponding current data, the characteristic properties are the same, and the temperature sensors monitor the corresponding photovoltaic modules to obtain corresponding temperature data, the characteristic properties are the same, but the characteristic properties of the current data and the temperature data are different;
step two, data classification processing
Establishing an equal number of attribute folders according to the number of the characteristic attributes in the operation and maintenance monitoring information, extracting monitoring data of the same characteristic attribute from the operation and maintenance monitoring information, and moving the monitoring data to the same attribute folder;
step three, establishing a comparison database
In all the attribute folders, acquiring monitoring data in a designated period, calculating the monitoring data in each attribute folder and in the designated period, comparing the calculation result with a preset comparison value, deleting unused monitoring data according to the comparison result, acquiring a group with the maximum value and a group with the minimum value from the newly reserved monitoring data, generating a comparison interval, and finally summarizing the comparison intervals generated by all the attribute folders to generate a comparison database, wherein the specific mode is as follows:
b1, acquiring monitoring data in all attribute folders in a specified period;
b2, selecting a group of attribute folders, marking all monitoring data in the attribute folders as JCi, wherein i=1, 2, … …, n, i represents the number of the monitoring data, JCi represents the value of the monitoring data, and n is the number of all the monitoring data in the designated period in the attribute folders;
then through the formulaCalculating all deviation values JCc of JCi, wherein JCp is the average value of JCi values corresponding to the calculation of JCc;
JCc is then compared with a preset contrast value JC 0:
if JCc is more than or equal to JC0, deleting corresponding JCi values in sequence from | JCi to JCp | until JCc is less than JC0, then acquiring all undeleted JCi, simultaneously acquiring a group JCi with the largest value and a group JCi with the smallest value from all undeleted JCi, marking the groups as JCmax and JCmin respectively, and taking the JCmin and JCmax as comparison intervals [ JCmin, JCmax ] of the characteristic attribute monitoring data;
if JCc < JC0, acquiring all monitoring data JCi in the attribute folder, acquiring a group JCi with the largest value and a group JCi with the smallest value in the attribute folder, marking the values as JCmax and JCmin respectively, and taking JCmin and JCmax as comparison intervals [ JCmin, JCmax ] of the characteristic attribute monitoring data;
b3, acquiring comparison intervals of the monitoring data in all the attribute folders in the mode of the step B2, and summarizing all the comparison intervals to generate a comparison database;
step four, data screening analysis
In each attribute folder, acquiring all monitoring data acquired in the approaching time, respectively comparing all monitoring data in the same attribute folder with corresponding comparison intervals, acquiring monitoring data exceeding the corresponding comparison intervals according to comparison results, acquiring numbers of corresponding photovoltaic modules, and binding the monitoring data exceeding the corresponding comparison intervals and the numbers of the corresponding photovoltaic modules into a transmission file, wherein the specific analysis mode is as follows:
acquiring all monitoring data acquired in the approaching time in each attribute folder, and marking the monitoring data as co-acquired data TCj, wherein j=1, 2, … …, m, j represents the number of the monitoring data acquired in the approaching time of the attribute folders, TCj represents the number of the monitoring data acquired in the approaching time of the attribute folders, and m is the number of all the attribute folders, wherein the approaching time is the time closest to the current time when the monitoring data are acquired through a monitoring sensor at fixed time;
then, respectively matching all the co-sampled data TCj with corresponding comparison intervals [ JCmin, JCmax ];
if the value of the co-sampled data TCj is within the comparison interval [ JCmin, JCmax ], deleting the corresponding co-sampled data TCj, avoiding the occupation of invalid data by deleting the co-sampled data within the comparison interval, thereby affecting the analysis efficiency, and then retaining the co-sampled data TCj with the value exceeding the comparison interval [ JCmin, JCmax ];
then, the serial numbers of the photovoltaic modules corresponding to the reserved same-acquisition data TCj are acquired, and the serial numbers of the reserved same-acquisition data TCj and the corresponding photovoltaic modules are bound into a transmission file;
the collected monitoring data is screened for normal data and abnormal data by the mode of the embodiment, then the abnormal data is bound into a transmission file, only the abnormal data is processed, transmission participation of a large amount of normal data is avoided, a large amount of repeated data can be reduced, the processing speed is greatly improved, the data transmission efficiency is improved, and the daily operation and maintenance efficiency is indirectly improved;
step five, file transmission
The transmission files are transmitted to the designated monitoring platform one by one through a wireless communication technology, the monitoring platform is of the prior art, and in the embodiment, the monitoring platform performs fault analysis on the transmission files by receiving the transmission files and then assigning corresponding operation and maintenance personnel to perform fault maintenance.
As embodiment II of the present invention
Compared with the first embodiment, the embodiment is characterized in that the content of the fifth step in the first embodiment is replaced, and the specific steps are as follows:
according to the detection data of different characteristic attributes, carrying out priority analysis to obtain a transmission sequence table of the detection data of different characteristic attributes, and then transmitting the transmission files of the corresponding characteristic attributes to a designated monitoring platform sequentially through a wireless communication technology according to the transmission sequence table, wherein the mode of priority analysis is as follows:
acquiring the quantity of corresponding monitoring data in each transmission file, and marking the quantity as Sj;
and then sequencing Sj according to the size, generating a transmission sequence table, and sequentially transmitting the transmission files to the monitoring platform in the transmission sequence table according to the sequence from front to back through a wireless communication technology.
According to the method for sorting the transmission files, a large number of users can be prevented from giving up execution of tasks due to overlong response time, when the number of the transmission files is large, priority transmission of the transmission files can be achieved, the transmission order is indirectly used as a target processing strategy, then the data to be transmitted can be processed according to the target processing strategy, further the photovoltaic module with defects in time of a monitoring platform can be conveniently and rapidly analyzed, the smoothness of data transmission is improved, and user experience is improved.
And all that is not described in detail in this specification is well known to those skilled in the art.
The foregoing describes one embodiment of the present invention in detail, but the disclosure is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (8)
1. The transmission method of the photovoltaic intelligent operation and maintenance data is characterized by comprising the following steps of:
step one, data centralized acquisition
Acquiring serial numbers of all photovoltaic modules in a specified photovoltaic power station, operation and maintenance monitoring information of the photovoltaic modules with corresponding serial numbers and characteristic attributes of the operation and maintenance monitoring information, wherein the operation and maintenance monitoring information is monitoring data acquired by monitoring sensors at fixed time, and the characteristic attributes are monitoring data of different attributes detected by different monitoring sensors when all the photovoltaic modules are monitored;
step two, data classification processing
Establishing an equal number of attribute folders according to the number of the characteristic attributes in the operation and maintenance monitoring information, extracting monitoring data of the same characteristic attribute from the operation and maintenance monitoring information, and moving the monitoring data to the same attribute folder;
step three, establishing a comparison database
Acquiring monitoring data in a designated period from all the attribute folders, calculating the monitoring data in each attribute folder and in the designated period, comparing the calculation result with a preset comparison value, deleting unused monitoring data according to the comparison result, acquiring a group with the maximum value and a group with the minimum value from the reserved monitoring data, generating a comparison interval, and finally summarizing the comparison intervals generated by all the attribute folders to generate a comparison database;
step four, data screening analysis
Acquiring all monitoring data acquired in the approaching time from each attribute folder, respectively comparing all monitoring data in the same attribute folder with corresponding comparison intervals, acquiring monitoring data exceeding the corresponding comparison intervals according to comparison results, acquiring numbers of corresponding photovoltaic modules, and binding the monitoring data exceeding the corresponding comparison intervals and the numbers of the corresponding photovoltaic modules into a transmission file;
step five, file transmission
And transmitting the transmission file to a designated monitoring platform.
2. The method for transmitting photovoltaic intelligent operation and maintenance data according to claim 1, wherein the specific mode of establishing the comparison database in the third step is as follows:
b1, acquiring monitoring data in all attribute folders in a specified period;
b2, selecting a group of attribute folders, marking all monitoring data in the attribute folders as JCi, wherein i=1, 2, … …, n, i represents the number of the monitoring data, JCi represents the value of the monitoring data, and n is the number of all the monitoring data in the designated period in the attribute folders;
then through the formulaCalculating all deviation values JCc of JCi, wherein JCp is the average value of JCi values corresponding to the calculation of JCc;
JCc is then compared with a preset contrast value JC 0:
if JCc is more than or equal to JC0, deleting corresponding JCi values in sequence from | JCi to JCp | until JCc is less than JC0, then acquiring all undeleted JCi, simultaneously acquiring a group JCi with the largest value and a group JCi with the smallest value in all undeleted JCi, marking the groups as JCmax and JCmin respectively, and taking the JCmin and JCmax as comparison intervals [ JCmin, JCmax ] of the characteristic attribute monitoring data;
and B3, acquiring comparison intervals of the monitoring data in all the attribute folders in the mode of the step B2, and summarizing all the comparison intervals to generate a comparison database.
3. The method according to claim 2, wherein in step B2, if JCc < JC0, all monitoring data JCi are obtained in the property folder, a maximum set JCi and a minimum set JCi are obtained in the property folder, and are respectively labeled JCmax and JCmin, and JCmin and JCmax are used as comparison intervals [ JCmin, JCmax ] of the characteristic property monitoring data.
4. The method for transmitting photovoltaic intelligent operation and maintenance data according to claim 1, wherein the mode of file transmission in the fifth step is as follows: the transmission is performed by a wireless communication technology.
5. The method for transmitting photovoltaic intelligent operation and maintenance data according to claim 1, wherein in the fifth step, the file is transmitted in the following manner: and transmitting the transmission files to the appointed monitoring platform one by one.
6. The method for transmitting photovoltaic intelligent operation and maintenance data according to claim 1, wherein the method comprises the following steps: the specific mode of file transmission in the fifth step is as follows: acquiring the quantity of corresponding monitoring data in each transmission file, and marking the quantity as Sj; and then sequencing Sj according to a size mode, generating a transmission sequence table, and sequentially transmitting the transmission files to the monitoring platform in the transmission sequence table according to a front-to-back sequence.
7. The method for transmitting photovoltaic intelligent operation and maintenance data according to claim 2, wherein in the fourth step, the data screening analysis mode is as follows:
c1, acquiring all monitoring data acquired in the approaching time in each attribute folder, and marking the acquired monitoring data as co-acquired data TCj, wherein j=1, 2, … …, m and m are the number of all attribute folders, and the approaching time is the time closest to the current time when the monitoring data are acquired at regular time through a monitoring sensor;
c2, respectively matching all the co-sampled data TCj with the corresponding comparison interval [ JCmin, JCmax ], and if the value of the co-sampled data TCj is not located in the comparison interval [ JCmin, JCmax ], reserving the corresponding co-sampled data TCj;
and C3, acquiring the serial numbers of the reserved same-adopted data TCj corresponding to the photovoltaic modules, and binding the reserved same-adopted data TCj and the serial numbers of the corresponding photovoltaic modules into a transmission file.
8. The method of claim 7, wherein in the step C2, if the value of the co-sampled data TCj is within the comparison interval [ JCmin, JCmax ], the corresponding co-sampled data TCj is deleted.
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