CN109245718A - A kind of photovoltaic plant information analysis cloud platform and system - Google Patents
A kind of photovoltaic plant information analysis cloud platform and system Download PDFInfo
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- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 18
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Classifications
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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
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
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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
- H02J13/00001—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 the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H02J3/383—
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- 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
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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- 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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
- Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources
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- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention discloses a kind of photovoltaic plant information analysis cloud platform and system, cloud platform includes: communication management module, is stored in first database according to scheduled rule for receiving the data of at least one collector transmission, and by the data；Wherein, the data include by the real time data of the collected photovoltaic plant being connected of each collector；Database middleware module, for obtaining the real time data from the first database, and by the historical data table of the real time data warehousing to the second database, using as historical data；Cloud service main module, for being analyzed according to the real time data obtained from the first database and from the historical data that second database obtains, to realize the statistical analysis to each photovoltaic plant.The present invention is based on cloud deployment to design, and allows a small amount of operation maintenance personnel to monitor more photovoltaic plants, and can compare and analyze to the data of upper cloud, optimizes power station O&M using data accumulation.
Description
Technical Field
The invention relates to the field of photovoltaics, in particular to a photovoltaic power station information analysis cloud platform and a system.
Background
The existing photovoltaic power station monitoring is mainly based on local centralized monitoring of the power station, and usually a plurality of separated measurement and control devices are adopted, and data are read from hardware by an RS-485 interface and a Modbus protocol. Each measurement and control station is used as a substation, converts data into a format of an IEC-104 protocol, is used as a substation, is accessed to a switch and receives a data request of a local monitoring main station. And after the data enters the master station, analyzing and displaying the data on an SCADA interface of a relay protection manufacturer.
The inventor finds that the prior art has at least the following defects in the process of implementing the invention:
firstly, the need of someone on duty: because data can only be monitored locally, operation and maintenance personnel need to watch a monitoring point to ensure that problems can be found in time, and the labor cost and the cost for maintaining the working environment of the personnel are high. Data can not be uploaded and integrated in time, and the running condition of the power station can not be effectively contrasted and analyzed through data integration.
Secondly, the equipment purchase and access cost is high: for local monitoring, measurement and control and switches of all equipment must be purchased, and in order to ensure the reliability of butt joint of measurement and control and local monitoring, a manufacturer needs to be specially found for online joint debugging.
Disclosure of Invention
The embodiment of the invention provides a photovoltaic power station information analysis cloud platform and a system, which are based on a cloud deployment design, so that a small number of operation and maintenance personnel can monitor more photovoltaic power stations, the cloud data can be contrasted and analyzed, the operation and maintenance of the power stations are optimized by data accumulation, the operation and maintenance efficiency is improved, and the operation and maintenance cost is reduced.
The embodiment of the invention provides a photovoltaic power station information analysis cloud platform, which comprises:
the communication management module is used for receiving data sent by at least one collector and storing the data into a first database according to a preset rule; the data comprises real-time data of connected photovoltaic power stations collected by each collector;
the database middleware module is used for acquiring the real-time data from the first database and storing the real-time data into a historical data table of a second database to be used as historical data;
and the cloud service main module is used for analyzing according to the real-time data acquired from the first database and the historical data acquired from the second database so as to realize statistical analysis of each photovoltaic power station, wherein the analysis comprises at least one of analysis of component reports of the photovoltaic power stations, analysis of inverter reports, analysis of photovoltaic power station daily production reports, analysis of photovoltaic power station monthly production reports, analysis of electric quantity reports, analysis of power radiation curves and analysis of monthly power generation.
Preferably, the cloud service main module includes:
the module report analysis unit is used for updating the historical data of each module of the photovoltaic power station at preset time intervals and providing query and export functions so as to support fault analysis and data comparison;
when inquiring, the input inquiry conditions comprise information of the photovoltaic power station and inquiry time, and the control layer of the background inquires the second database according to the inquiry conditions and returns corresponding records; the recorded data is returned to the foreground through ajax, the foreground updates the list and displays the corresponding query result;
during exporting, the foreground submits export conditions to the background, the background calls an export controller-like universal export method to package data to a template file, and meanwhile, a report is output to a foreground page.
Preferably, the cloud service main module further includes:
the inverter report analysis unit is used for inquiring data and exporting data based on the inquiry condition and a preset statistical mode so as to analyze and obtain the index of the inverter; the index of the inverter is calculated according to historical data of the inverter and is used for representing the performance of the inverter;
during query, the input query conditions comprise a power station name, an inverter type, a statistical mode and query time; the background inquires the index table of the inverter according to the inquiry condition and encapsulates data; the output data is returned to the foreground through ajax, and the foreground refreshes the list page after receiving the data;
during export, a foreground submits export conditions to a background, the background calls a general export method of an ExportController class to package data to a template file, and meanwhile, a report file is output to a foreground page;
wherein, the foreground submits the calculation condition to the background, the background calls the calculation interface to inquire the index of each inverter in the historical data table, to calculate the index according to the algorithm of each index, and store the calculation result into the index table of the inverter; during calculation, the index of the inverter only calculates a daily index, and a monthly index and a yearly index are obtained according to daily index statistics; wherein, the index of inverter includes:
daily power generation of the inverter: taking the maximum value of the current day in the historical data of the inverter;
inverter conversion efficiency: the ratio of the current day alternating current power to the direct current power of the inverter;
data of inverter full power-on hours: dividing the daily power generation of the inverter by the total capacity of the inverter on the same day;
maximum dc power: presetting the maximum branch power of the inverter on the same day;
maximum ac power: presetting the maximum alternating current power of the inverter on the same day;
average temperature: average temperature of the inverter on the day.
Preferably, the cloud service main module further includes:
the power station production daily report analysis unit is used for performing list display on the index data of the photovoltaic power station every month and every day so as to clearly obtain the index information of the photovoltaic power station every month and every day; wherein, the displayed index data comprises: the method comprises the following steps of (1) generating capacity of an inverter, generating capacity of a line table, generating capacity of a grid-connected point, theoretical generating capacity, comprehensive efficiency, full-time generation hours of the inverter, maximum output time of the grid-connected point, average conversion efficiency of the inverter, carbon dioxide emission reduction, sulfur dioxide emission reduction, standard coal saving, total radiant quantity, average wind speed, average temperature, sunshine hours saving and equivalent tree planting;
wherein,
the inverter generates power: obtaining according to the inverter report;
generating capacity of the line meter: inquiring the current day data historical data of the line meter type according to the meter type and the metering mode, and multiplying the value obtained by subtracting the starting meter code value from the ending meter code value by the multiplying power of the meter to obtain the value;
grid connection point power generation capacity: according to the type of the switch cabinet and the metering mode, historical data of a grid-connected point are inquired and calculated;
full hair hours: dividing the generated energy of the inverter on the day by the capacity of the power station to obtain the power generation capacity;
maximum output of the inverter: calculating the maximum value of the inverter power on the same day according to historical data;
maximum output time of the inverter: calculating the time when the power of the inverter reaches the maximum value according to historical data;
maximum output of grid-connected points: calculating the maximum power value of the grid-connected point on the same day according to historical data;
maximum output time of grid-connected point: calculating the time when the power of the grid-connected point reaches the maximum value according to historical data;
average inverter conversion efficiency: counting an inverter index table to obtain;
and (3) carbon dioxide emission reduction: multiplying the generated energy of the inverter by a carbon dioxide coefficient to obtain the power;
standard coal is saved: multiplying the generated energy of the inverter by a standard coal coefficient to obtain the power;
total radiant quantity: obtaining the maximum total radiant quantity of the day according to the historical data of the main meteorological instrument, if the meteorological instrument can not collect the total radiant quantity, calculating according to the instantaneous radiant intensity, obtaining the average value of the instantaneous radiant intensity of the main environmental monitor at each time point, namely the collection interval/60, and obtaining the accumulated result, namely 3.6/1000;
average wind speed: averaging wind speeds at all time points of the main meteorological instrument to obtain a wind speed average value;
average temperature: averaging the temperatures of all time points of the main meteorological instrument to obtain the average temperature;
hours of sunshine: taking the number of time points when the instantaneous radiation intensity of the main imager is greater than 120, multiplying the number by the acquisition interval and then dividing the number by 60 to obtain the target value;
and (3) emission reduction of sulfur dioxide: multiplying the daily generated energy of the inverter by a sulfur dioxide coefficient to obtain the product;
equivalent tree planting: multiplying the daily generated energy of the inverter by a tree planting coefficient to obtain the power generation;
theoretical power generation: calculated total radiation was obtained as installed capacity/3.6.
Preferably, the cloud service main module further includes:
the power station production daily report comparison and analysis unit is used for listing index information of each photovoltaic power station on a preset date so as to realize index comparison among different photovoltaic power stations;
the power station production monthly report analysis unit is used for displaying indexes of each photovoltaic power station in each month in one year, so that a user can inquire and export the indexes according to the month;
and the power station production monthly report comparison and analysis unit is used for listing the index information of each photovoltaic power station in a preset month so as to realize index comparison among different photovoltaic power stations.
Preferably, the cloud service main module further includes:
the electric quantity report analyzing unit is used for providing forward active, reverse active, forward reactive and reverse reactive starting table code values, ending table code values and generating capacity of each electric meter of the photovoltaic power station, and supporting the functions of selecting any date section for inquiring and exporting;
the power radiation curve drawing unit is used for showing a curve drawn by the radiation intensity and the inverter power of each time point in one day of the photovoltaic power station, so that the trends of the equipment power and the radiation of the photovoltaic power station in one day can be seen, and the running condition of the power station can be known; the input query conditions comprise photovoltaic power station names and dates; the background inquires historical power and radiation historical data of the corresponding photovoltaic power station under the date according to the inquiry conditions and packages the historical power and radiation historical data into JSON data required by the foreground; the JSON data comprises JSON data of a curve transverse axis, power data and radiation data; foreground plots through echarts.
Preferably, the cloud service main module further includes:
the monthly power generation amount histogram drawing unit is used for showing a power generation amount histogram of the photovoltaic power station in each month and each day so as to compare power generation conditions of each day in each month; the input query conditions comprise photovoltaic power station names and months; the background inquires the power station power generation amount of the corresponding photovoltaic power station every day in the year and month according to the inquiry conditions and packages the power station power generation amount into JSON data required by the foreground; and drawing a monthly power generation amount column diagram by the foreground through echarts.
Preferably, the data sent by the collector further includes the ID of the collected photovoltaic power station and the external name of the collection point where the collector is located;
the communication management module is specifically configured to store the acquired real-time data into the first database by using the external name as an index;
the database middleware module is specifically used for carrying out rule analysis on the received real-time data according to the external name of the real-time data and storing the real-time data into a historical data table corresponding to a second database; when the second database does not have the historical data table corresponding to the external name, the historical data table corresponding to the external name is automatically created.
The embodiment of the invention also provides a photovoltaic power station information analysis system, which comprises at least one collector, at least one photovoltaic power station corresponding to each collector and the photovoltaic power station information analysis cloud platform; wherein:
the collector is used for communicating with the corresponding photovoltaic power stations through RS-485 lines by a Modbus protocol so as to collect real-time data of each photovoltaic power station and is used as a substation for receiving data collection of the photovoltaic power station information analysis cloud platform;
the photovoltaic power station information analysis cloud platform is communicated with the collectors in a wireless connection mode and used for acquiring real-time data of the photovoltaic power station from each collector; and transmitting the real-time data in a protocol message form.
The embodiment of the invention also provides a photovoltaic power station information analysis system which comprises a collector, a switch, measurement and control equipment, photovoltaic power stations correspondingly connected with the measurement and control equipment and the photovoltaic power station information analysis cloud platform; wherein:
the measurement and control equipment is used for communicating with the corresponding photovoltaic power stations through RS-485 lines by a Modbus protocol so as to acquire real-time data of each photovoltaic power station;
the switch is connected with the measurement and control equipment through a network cable and collects real-time data collected by each measurement and control equipment in a protocol message mode;
the collector is connected with the measurement and control equipment through a network cable and acquires real-time data received by the switch in a protocol message mode;
the photovoltaic power station information analysis cloud platform is communicated with the collectors in a wireless connection mode and used for acquiring real-time data of the photovoltaic power station from each collector; and transmitting the real-time data in a protocol message form.
The photovoltaic power station information analysis cloud platform and the system provided by the embodiment adopt the cloud deployment design, so that a small number of operation and maintenance personnel can monitor more photovoltaic power stations in offices, the working environment is more comfortable, the cloud data can be contrastively analyzed, the operation and maintenance of the power stations are optimized by utilizing data accumulation, the operation condition of each photovoltaic power station can be timely and accurately obtained, and the fault removal and the updating are timely carried out.
Drawings
Fig. 1 is a schematic structural diagram of a photovoltaic power station information analysis cloud platform provided in a first embodiment of the present invention.
Fig. 2 is a schematic architecture diagram of a cloud service master module according to a first embodiment of the present invention.
Fig. 3 is a functional structure diagram of a cloud service main module according to a first embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a photovoltaic power station information analysis system according to a second embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a photovoltaic power station information analysis system according to a third embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a first embodiment of the present invention provides a photovoltaic power station information analysis cloud platform, which includes a communication management module 10, a database middleware module 20, and a cloud service main module 30, where:
the communication management module 10 is configured to receive data sent by at least one collector, and store the data in a first database according to a predetermined rule; the data comprise real-time data of the connected photovoltaic power stations collected by the collectors.
Specifically, in this embodiment, the collector may be an embedded collector, which may obtain real-time data sent by each photovoltaic power station, and package and send the real-time data, the ID of the corresponding photovoltaic power station, and the external name of the collection point where the collector is located to the photovoltaic power station information analysis cloud platform, and the photovoltaic power station information analysis cloud platform 100 receives the packaged data through the communication management module 10, and stores the data in the first database according to a predetermined rule.
Wherein, when storing into the first database, the communication management module 10 stores the collected real-time data into the first database by using the external name as an index.
The first database is MongoDB, the MongoDB is a database based on distributed file storage, the MongoDB is a product between a relational database and a non-relational database, and the non-relational database has the richest functions and is most similar to the relational database. The data structure supported by the method is very loose and is in a json-like bson format, so that more complex data types can be stored. The biggest characteristic of Mongo is that the query language supported by Mongo is very strong, the syntax of Mongo is similar to the object-oriented query language, most functions of single-table query of similar relational databases can be almost realized, and index establishment of data is also supported.
It should be noted that, in other embodiments of the present invention, the first database may also be other types of databases, such as access, foxbase, mysql, sql server, oracle, db2, and sybase, which are all within the protection scope of the present invention and are not described herein again.
It should be noted that the real-time data may include the current ac/dc power of the inverter of the photovoltaic power station, the total current power generation amount of the inverter, the power station state, the ac/dc power of the power station, and the like, and may be configured according to actual needs, which is not limited in the present invention.
The database middleware module 20 is configured to obtain the real-time data from the first database, and store the real-time data into a historical data table of a second database to serve as historical data.
In this embodiment, the database middleware module 20 parses the external name according to the configuration, and stores the external name into the history data table of the second database. The historical data table is a historical data table corresponding to the external name and records historical data of each photovoltaic power station collected by the collection point in a preset event.
In this embodiment, if there is no history data table corresponding to the external name, the database middleware module 20 automatically creates a history data table corresponding to the external name.
In addition, it should be noted that, for some photovoltaic power stations with large data volume, storage may also be automatically performed according to a power station sub-table, that is, a historical data table corresponding to the ID of each photovoltaic power station is created, so as to obtain data collected from each photovoltaic power station within a predetermined time.
In this embodiment, the second database is MySql, which is a relational database management system developed by MySql AB corporation of sweden and currently belongs to a product under Oracle flag. MySQL is one of the most popular relational database management systems, and is the best relational database management system application software in the aspect of WEB application. MySQL saves data in different tables instead of putting all data in one large repository, which increases speed and flexibility.
It should be noted that, in other embodiments of the present invention, the second database may also be other types of databases, such as access, foxbase, sql server, oracle, db2, and sybase, which are all within the protection scope of the present invention and are not described herein again.
The cloud service main module 30 is configured to analyze the real-time data acquired from the first database and the historical data acquired from the second database to realize statistical analysis of each photovoltaic power station, where the analysis includes at least one of analysis of a component report of the photovoltaic power station, analysis of an inverter report, analysis of a photovoltaic power station daily production report, analysis of a photovoltaic power station monthly production report, analysis of an electric quantity report, analysis of a power radiation curve, and analysis of a monthly power generation amount.
Specifically, as shown in fig. 2, in the present embodiment, the cloud service main module 30 includes a presentation layer, a control layer, a persistence layer, and a data processing layer, wherein,
and the presentation layer is used for displaying data, refreshing the data and connecting and jumping through a foreground page.
In this embodiment, the presentation layer mainly performs simple data analysis and data display. When data are displayed, data display, data refreshing, connection jumping and the like are mainly performed through a foreground page. In particular, in the embodiment, bootstrap3.0 is used for constructing a framework of a front end, easyUI is used for showing a data table, ValidationEngine is used for verifying a form, svg is used for drawing and showing a main wiring diagram of a photovoltaic power station, and echarts is used for drawing curves, columns and maps.
And the control layer is used for controlling connection and skipping, packaging data and calling a database interface.
In this embodiment, the control layer mainly performs operations such as control of jumping, data encapsulation, and invocation of a database interface. In particular, in this embodiment, a controller of springmvc is used to construct a control layer, and a comment mode is used to register a control class, thereby simplifying the development process. The database interface comprises a real-time database operation interface, a real-time database acquisition interface, a historical database operation interface and the like.
And the persistent layer is used for defining a persistent layer operation interface, and all historical data tables define corresponding historical databases, so that the database operation can be carried out in an object mode.
In this embodiment, the persistent layer uses hibernate as a persistent layer framework, and defines a persistent layer operation interface BaseDao, and all the historical data tables define corresponding historical database beans, so that the database operation can be performed in an object manner.
And the data processing layer is used for calculating and analyzing the real-time data acquired from the first database, reading historical data from the second database, and performing comparative analysis according to the real-time data and the historical data.
When the real-time data is processed, the real-time data can be refreshed into the memory by the data refreshing thread and put into the Map; calculating the overall data of each photovoltaic power station by a data calculation thread; analyzing the event by the event analysis thread, and storing the event into a historical data table of a second database; and the inverter state calculation thread is responsible for calculating the state of the inverter.
In this embodiment, the data processing thread may obtain the real-time data of the first database or the historical data of the second database by calling a corresponding interface, and perform corresponding calculation and analysis according to the real-time data and the historical data.
Specifically, the data processing layer may obtain real-time data through a real-time data obtaining interface, and refresh the real-time data into a memory by a data refresh thread (RealDataThread), and place the memory in a Map. And meanwhile, calculating the overall data of each photovoltaic power station by a data calculation thread (Commonthread) according to the real-time data, wherein the overall data comprises the total alternating current and direct current power of the inverter, the total daily generated energy of the inverter, the state of the power station, the total alternating current and direct current power of the power station, the total daily generated energy of the power station and the like. An event analysis thread (EventThread) is responsible for analyzing the events and storing the events into a historical database; the inverter state calculation thread (StateThread) is responsible for calculating the state of the inverter and can send the state to the presentation layer for display.
In this embodiment, the cloud service master module 30 can implement the following functions based on the above layers or threads.
Specifically, as shown in fig. 3, the cloud service main module 30 includes:
the component report analysis unit 31 is used for updating the historical data of each component of the photovoltaic power station at preset time intervals and providing query and export functions so as to support fault analysis and data comparison;
when inquiring, the input inquiry conditions comprise information of the photovoltaic power station and inquiry time, and the control layer of the background inquires the second database according to the inquiry conditions and returns corresponding records; the recorded data is returned to the foreground through ajax, the foreground updates the list and displays the corresponding query result;
during exporting, the foreground submits export conditions to the background, the background calls an export controller-like universal export method to package data to a template file, and meanwhile, a report is output to a foreground page.
The inverter report analysis unit 32 is used for performing data query and data derivation based on query conditions and a predetermined statistical mode so as to analyze and obtain indexes of the inverter; the index of the inverter is calculated according to historical data of the inverter and is used for representing the performance of the inverter;
during query, the input query conditions comprise a power station name, an inverter type, a statistical mode and query time; the background inquires the index table of the inverter according to the inquiry condition and encapsulates data; the output data is returned to the foreground through ajax, and the foreground refreshes the list page after receiving the data;
during export, a foreground submits export conditions to a background, the background calls a general export method of an ExportController class to package data to a template file, and meanwhile, a report file is output to a foreground page;
wherein, the foreground submits the calculation condition to the background, the background calls the calculation interface to inquire the index of each inverter in the historical data table, to calculate the index according to the algorithm of each index, and store the calculation result into the index table of the inverter; during calculation, the index of the inverter only calculates a daily index, and a monthly index and a yearly index are obtained according to daily index statistics; wherein, the index of inverter includes:
daily power generation of the inverter: taking the maximum value of the current day in the historical data of the inverter;
inverter conversion efficiency: the ratio of the current day alternating current power to the direct current power of the inverter;
data of inverter full power-on hours: dividing the daily power generation of the inverter by the total capacity of the inverter on the same day;
maximum dc power: presetting the maximum branch power of the inverter on the same day;
maximum ac power: presetting the maximum alternating current power of the inverter on the same day;
average temperature: average temperature of the inverter on the day.
The power station production daily report analysis unit 33 is used for performing list display on the index data of the photovoltaic power station every month and every day so as to clearly obtain the index information of the photovoltaic power station every month and every day; wherein, the displayed index data comprises: the method comprises the following steps of (1) generating capacity of an inverter, generating capacity of a line table, generating capacity of a grid-connected point, theoretical generating capacity, comprehensive efficiency, full-time generation hours of the inverter, maximum output time of the grid-connected point, average conversion efficiency of the inverter, carbon dioxide emission reduction, sulfur dioxide emission reduction, standard coal saving, total radiant quantity, average wind speed, average temperature, sunshine hours saving and equivalent tree planting;
wherein,
the inverter generates power: obtaining according to the inverter report;
generating capacity of the line meter: inquiring the current day data historical data of the line meter type according to the meter type and the metering mode, and multiplying the value obtained by subtracting the starting meter code value from the ending meter code value by the multiplying power of the meter to obtain the value;
grid connection point power generation capacity: according to the type of the switch cabinet and the metering mode, historical data of a grid-connected point are inquired and calculated;
full hair hours: dividing the generated energy of the inverter on the day by the capacity of the power station to obtain the power generation capacity;
maximum output of the inverter: calculating the maximum value of the inverter power on the same day according to historical data;
maximum output time of the inverter: calculating the time when the power of the inverter reaches the maximum value according to historical data;
maximum output of grid-connected points: calculating the maximum power value of the grid-connected point on the same day according to historical data;
maximum output time of grid-connected point: calculating the time when the power of the grid-connected point reaches the maximum value according to historical data;
average inverter conversion efficiency: counting an inverter index table to obtain;
and (3) carbon dioxide emission reduction: multiplying the power generation capacity of the inverter by a carbon dioxide coefficient 0.000997 to obtain a power generation capacity;
standard coal is saved: the generated energy of the inverter is multiplied by a standard coal coefficient of 0.0004 to obtain the standard coal;
total radiant quantity: obtaining the maximum total radiant quantity of the day according to the historical data of the main meteorological instrument, if the meteorological instrument can not collect the total radiant quantity, calculating according to the instantaneous radiant intensity, obtaining the average value of the instantaneous radiant intensity of the main environmental monitor at each time point, namely the collection interval/60, and obtaining the accumulated result, namely 3.6/1000;
average wind speed: averaging wind speeds at all time points of the main meteorological instrument to obtain a wind speed average value;
average temperature: averaging the temperatures of all time points of the main meteorological instrument to obtain the average temperature;
hours of sunshine: taking the number of time points when the instantaneous radiation intensity of the main imager is greater than 120, multiplying the number by the acquisition interval and then dividing the number by 60 to obtain the target value;
and (3) emission reduction of sulfur dioxide: multiplying the daily generated energy of the inverter by a sulfur dioxide coefficient of 0.00003 to obtain the product;
equivalent tree planting: multiplying the daily generated energy of the inverter by a tree planting coefficient 0.15676 to obtain the power;
theoretical power generation: calculated total radiation was obtained as installed capacity/3.6.
The power station production daily report comparison and analysis unit 34 is used for listing index information of each photovoltaic power station on a preset date so as to realize index comparison among different photovoltaic power stations;
the power station production monthly report analysis unit 35 is used for displaying indexes of each photovoltaic power station in each month in one year, so that a user can inquire and export the indexes according to the month;
and the power station production monthly report comparison and analysis unit 36 is used for listing the index information of each photovoltaic power station in a preset month so as to realize index comparison among different photovoltaic power stations.
The electric quantity report analyzing unit 37 is used for providing forward active, reverse active, forward reactive and reverse reactive starting table code values, ending table code values and generating capacity of each electric meter of the photovoltaic power station, and supporting the functions of selecting any date section for inquiring and exporting;
the power radiation curve drawing unit 38 is used for showing a curve drawn by the radiation intensity and the inverter power of each time point in one day of a photovoltaic power station, so that the power and radiation trends of equipment in the photovoltaic power station in one day can be seen, and the operation condition of the power station can be known; the input query conditions comprise photovoltaic power station names and dates; the background inquires historical power and radiation historical data of the corresponding photovoltaic power station under the date according to the inquiry conditions and packages the historical power and radiation historical data into JSON data required by the foreground; the JSON data comprises JSON data of a curve transverse axis, power data and radiation data; foreground plots through echarts.
The monthly power generation amount histogram drawing unit 39 is used for showing a power generation amount histogram of the photovoltaic power station in each month and each day so as to compare power generation conditions of each day in each month; the input query conditions comprise photovoltaic power station names and months; the background inquires the power station power generation amount of the corresponding photovoltaic power station every day in the year and month according to the inquiry conditions and packages the power station power generation amount into JSON data required by the foreground; and drawing a monthly power generation amount column diagram by the foreground through echarts.
In summary, the photovoltaic power station information analysis cloud platform provided by this embodiment adopts the cloud deployment design, so that a small number of operation and maintenance personnel can monitor more photovoltaic power stations in an office, the working environment is more comfortable, the cloud data can be contrastively analyzed, the operation and maintenance of the power stations are optimized by data accumulation, the operation and maintenance efficiency is improved, and the operation and maintenance cost is reduced.
As shown in fig. 4, a second embodiment of the present invention provides a photovoltaic power station information analysis system, which includes a collector 2200, a switch 2300, measurement and control devices 2400, a photovoltaic power station 2500 correspondingly connected to each measurement and control device 2400, and the above-mentioned photovoltaic power station information analysis cloud platform 2100; wherein:
the measurement and control device 2400 is configured to communicate with the corresponding photovoltaic power station 2500 through an RS-485 line according to a Modbus protocol, so as to acquire real-time data of each photovoltaic power station 2500.
The photovoltaic power station 2500 is used as a substation of the measurement and control device 2400, and the measurement and control device 2400 is used as a master station of the photovoltaic power station 2500 and can acquire data from the substation.
The switch 2300 is connected with the measurement and control equipment 2400 through a network cable, and collects real-time data collected by each measurement and control equipment in a protocol message mode.
The protocol message is an IEC103 protocol message or an IEC104 protocol message. The IEC104 protocol is an international standard widely applied to industries such as electric power, urban rail transit and the like. Which is specified by the international electrotechnical commission. The IEC104 protocol is a standard for transmitting Application Service Data Units (ASDUs) of IEC101 using the network protocol TCP/IP, which provides a communication protocol basis for network transmission of telecontrol information.
Similarly, the measurement and control device 2400 serves as a substation of the switch 2300, and the switch 2300 serves as a master station of the measurement and control device 2400, and can collect data from the substation.
The collector 2200 is connected to the switch 2300 through a network cable, and obtains real-time data received by the switch in a protocol message form.
The protocol message is an IEC103 protocol message or an IEC104 protocol message.
Similarly, the switch 2300 is used as a substation of the collector 2200, and the collector 2200 is used as a master station of the switch 2300 to obtain data from the switch 2300.
The photovoltaic power station information analysis cloud platform 2100 is in wireless connection with the collectors 2200 for communication, and is used for acquiring real-time data of the photovoltaic power station from each collector 2200; and transmitting the real-time data in a protocol message form.
The connection between the photovoltaic power station information analysis cloud platform 2100 and the collector 2200 may be a wireless connection based on GPRS, 4G, NBIOT, or WiFi.
Wherein, the protocol message is an IEC104 protocol message.
The collector 2200 is used as a substation of the photovoltaic power station information analysis cloud platform 2100, and the photovoltaic power station information analysis cloud platform 2100 is used as a master station of the collector 2200 to collect data from the collector 2200.
Specifically, the collector 2200 runs customized communication management software, and the 104 channel number and the point number have a predetermined corresponding relationship, and are divided into three signal types of a telemetry signal, a remote signaling signal and a remote pulse signal, which are respectively stored in respective csv files in a configuration folder; different protocols are configured for each downward collected channel to generate a corresponding protocol file, and then remote measurement, remote signaling and remote pulse signals are respectively stored in a preset database through communication management software root channel configuration and point location configuration so as to be used for data collection of the photovoltaic power station information analysis cloud platform 2100.
In this embodiment, after receiving the real-time data, the photovoltaic power station information analysis cloud platform 2100 may monitor and manage each photovoltaic power station, which is specifically described with reference to the above embodiments, and the details of the present invention are not repeated herein.
In the architecture design of the photovoltaic power station information analysis system provided in this embodiment, the collector 2200 communicates with the measurement and control device 2400 through the switch 2300 in the IEC103/104 protocol, then the measurement and control device 2400 communicates with the photovoltaic power station 2500 through the RS-485 line in the Modbus protocol, and then receives the data summary call of the photovoltaic power station information analysis cloud platform 2100 as the IEC104 substation after data acquisition. The advantage of this kind of architectural design can deal with the photovoltaic power plant and distribute the wider condition, avoids the limited influence that brings of RS-485 line communication distance, reduces the cost of customization development Modbus agreement.
Referring to fig. 5, a photovoltaic power station information analysis system according to a third embodiment of the present invention includes at least one collector 3200, at least one photovoltaic power station 3300 corresponding to each collector, and a photovoltaic power station information analysis cloud platform 3100 according to any of the embodiments above; wherein:
the collector 3200 is used for communicating with the corresponding photovoltaic power stations 3300 through RS-485 lines according to a Modbus protocol so as to collect real-time data of each photovoltaic power station 3300, and the data collection of the photovoltaic power station information analysis cloud platform 3100 is received as a substation.
The photovoltaic power station information analysis cloud platform 3100 is in wireless connection with the collectors 3200, and is used for acquiring real-time data of the photovoltaic power station from each collector 3200; and transmitting the real-time data in a protocol message form.
The collector 3200 is directly communicated with the photovoltaic power station 3300 through an RS-485 line by a Modbus protocol, and then is used as an IEC104 substation to receive data summoning of the photovoltaic power station information analysis cloud platform 3100 after real-time data of the photovoltaic power station 3300 are collected.
The photovoltaic power station information analysis system's that this embodiment provided architectural design is fit for small-scale power station, under the not high condition of Modbus agreement customization development cost, can practice thrift the cost that measurement and control equipment purchase and debugging brought.
It should be noted that the modules implemented as described above may be stored in a computer-readable storage medium, or if implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. The utility model provides a photovoltaic power plant information analysis cloud platform which characterized in that includes:
the communication management module is used for receiving data sent by at least one collector and storing the data into a first database according to a preset rule; the data comprises real-time data of connected photovoltaic power stations collected by each collector;
the database middleware module is used for acquiring the real-time data from the first database and storing the real-time data into a historical data table of a second database to be used as historical data;
and the cloud service main module is used for analyzing according to the real-time data acquired from the first database and the historical data acquired from the second database so as to realize statistical analysis of each photovoltaic power station, wherein the analysis comprises at least one of analysis of component reports of the photovoltaic power stations, analysis of inverter reports, analysis of photovoltaic power station daily production reports, analysis of photovoltaic power station monthly production reports, analysis of electric quantity reports, analysis of power radiation curves and analysis of monthly power generation.
2. The photovoltaic power plant information analysis cloud platform of claim 1, wherein the cloud service master module comprises:
the module report analysis unit is used for updating the historical data of each module of the photovoltaic power station at preset time intervals and providing query and export functions so as to support fault analysis and data comparison;
when inquiring, the input inquiry conditions comprise information of the photovoltaic power station and inquiry time, and the control layer of the background inquires the second database according to the inquiry conditions and returns corresponding records; the recorded data is returned to the foreground through ajax, the foreground updates the list and displays the corresponding query result;
during exporting, the foreground submits export conditions to the background, the background calls an export controller-like universal export method to package data to a template file, and meanwhile, a report is output to a foreground page.
3. The photovoltaic power plant information analysis cloud platform of claim 2, wherein the cloud service master module further comprises:
the inverter report analysis unit is used for inquiring data and exporting data based on the inquiry condition and a preset statistical mode so as to analyze and obtain the index of the inverter; the index of the inverter is calculated according to historical data of the inverter and is used for representing the performance of the inverter;
during query, the input query conditions comprise a power station name, an inverter type, a statistical mode and query time; the background inquires the index table of the inverter according to the inquiry condition and encapsulates data; the output data is returned to the foreground through ajax, and the foreground refreshes the list page after receiving the data;
during export, a foreground submits export conditions to a background, the background calls a general export method of an ExportController class to package data to a template file, and meanwhile, a report file is output to a foreground page;
wherein, the foreground submits the calculation condition to the background, the background calls the calculation interface to inquire the index of each inverter in the historical data table, to calculate the index according to the algorithm of each index, and store the calculation result into the index table of the inverter; during calculation, the index of the inverter only calculates a daily index, and a monthly index and a yearly index are obtained according to daily index statistics; wherein, the index of inverter includes:
daily power generation of the inverter: taking the maximum value of the current day in the historical data of the inverter;
inverter conversion efficiency: the ratio of the current day alternating current power to the direct current power of the inverter;
data of inverter full power-on hours: dividing the daily power generation of the inverter by the total capacity of the inverter on the same day;
maximum dc power: presetting the maximum branch power of the inverter on the same day;
maximum ac power: presetting the maximum alternating current power of the inverter on the same day;
average temperature: average temperature of the inverter on the day.
4. The photovoltaic power plant information analysis cloud platform of claim 3, wherein the cloud service main module further comprises:
the power station production daily report analysis unit is used for performing list display on the index data of the photovoltaic power station every month and every day so as to clearly obtain the index information of the photovoltaic power station every month and every day; wherein, the displayed index data comprises: the method comprises the following steps of (1) generating capacity of an inverter, generating capacity of a line table, generating capacity of a grid-connected point, theoretical generating capacity, comprehensive efficiency, full-time generation hours of the inverter, maximum output time of the grid-connected point, average conversion efficiency of the inverter, carbon dioxide emission reduction, sulfur dioxide emission reduction, standard coal saving, total radiant quantity, average wind speed, average temperature, sunshine hours saving and equivalent tree planting;
wherein,
the inverter generates power: obtaining according to the inverter report;
generating capacity of the line meter: inquiring the current day data historical data of the line meter type according to the meter type and the metering mode, and multiplying the value obtained by subtracting the starting meter code value from the ending meter code value by the multiplying power of the meter to obtain the value;
grid connection point power generation capacity: according to the type of the switch cabinet and the metering mode, historical data of a grid-connected point are inquired and calculated;
full hair hours: dividing the generated energy of the inverter on the day by the capacity of the power station to obtain the power generation capacity;
maximum output of the inverter: calculating the maximum value of the inverter power on the same day according to historical data;
maximum output time of the inverter: calculating the time when the power of the inverter reaches the maximum value according to historical data;
maximum output of grid-connected points: calculating the maximum power value of the grid-connected point on the same day according to historical data;
maximum output time of grid-connected point: calculating the time when the power of the grid-connected point reaches the maximum value according to historical data;
average inverter conversion efficiency: counting an inverter index table to obtain;
and (3) carbon dioxide emission reduction: multiplying the generated energy of the inverter by a carbon dioxide coefficient to obtain the power;
standard coal is saved: multiplying the generated energy of the inverter by a standard coal coefficient to obtain the power;
total radiant quantity: obtaining the maximum total radiant quantity of the day according to the historical data of the main meteorological instrument, if the meteorological instrument can not collect the total radiant quantity, calculating according to the instantaneous radiant intensity, obtaining the average value of the instantaneous radiant intensity of the main environmental monitor at each time point, namely the collection interval/60, and obtaining the accumulated result, namely 3.6/1000;
average wind speed: averaging wind speeds at all time points of the main meteorological instrument to obtain a wind speed average value;
average temperature: averaging the temperatures of all time points of the main meteorological instrument to obtain the average temperature;
hours of sunshine: taking the number of time points when the instantaneous radiation intensity of the main imager is greater than 120, multiplying the number by the acquisition interval and then dividing the number by 60 to obtain the target value;
and (3) emission reduction of sulfur dioxide: multiplying the daily generated energy of the inverter by a sulfur dioxide coefficient to obtain the product;
equivalent tree planting: multiplying the daily generated energy of the inverter by a tree planting coefficient to obtain the power generation;
theoretical power generation: calculated total radiation was obtained as installed capacity/3.6.
5. The photovoltaic power plant information analysis cloud platform of claim 4, wherein the cloud service main module further comprises:
the power station production daily report comparison and analysis unit is used for listing index information of each photovoltaic power station on a preset date so as to realize index comparison among different photovoltaic power stations;
the power station production monthly report analysis unit is used for displaying indexes of each photovoltaic power station in each month in one year, so that a user can inquire and export the indexes according to the month;
and the power station production monthly report comparison and analysis unit is used for listing the index information of each photovoltaic power station in a preset month so as to realize index comparison among different photovoltaic power stations.
6. The photovoltaic power plant information analysis cloud platform of claim 5, wherein the cloud service main module further comprises:
the electric quantity report analyzing unit is used for providing forward active, reverse active, forward reactive and reverse reactive starting table code values, ending table code values and generating capacity of each electric meter of the photovoltaic power station, and supporting the functions of selecting any date section for inquiring and exporting;
the power radiation curve drawing unit is used for showing a curve drawn by the radiation intensity and the inverter power of each time point in one day of the photovoltaic power station, so that the trends of the equipment power and the radiation of the photovoltaic power station in one day can be seen, and the running condition of the power station can be known; the input query conditions comprise photovoltaic power station names and dates; the background inquires historical power and radiation historical data of the corresponding photovoltaic power station under the date according to the inquiry conditions and packages the historical power and radiation historical data into JSON data required by the foreground; the JSON data comprises JSON data of a curve transverse axis, power data and radiation data; foreground plots through echarts.
7. The photovoltaic power plant information analysis cloud platform of claim 6, wherein the cloud service main module further comprises:
the monthly power generation amount histogram drawing unit is used for showing a power generation amount histogram of the photovoltaic power station in each month and each day so as to compare power generation conditions of each day in each month; the input query conditions comprise photovoltaic power station names and months; the background inquires the power station power generation amount of the corresponding photovoltaic power station every day in the year and month according to the inquiry conditions and packages the power station power generation amount into JSON data required by the foreground; and drawing a monthly power generation amount column diagram by the foreground through echarts.
8. The photovoltaic power station information analysis cloud platform of claim 1, wherein the data sent by the collector further comprises an ID of the photovoltaic power station to be collected and an external name of a collection point where the collector is located;
the communication management module is specifically configured to store the acquired real-time data into the first database by using the external name as an index;
the database middleware module is specifically used for carrying out rule analysis on the received real-time data according to the external name of the real-time data and storing the real-time data into a historical data table corresponding to a second database; when the second database does not have the historical data table corresponding to the external name, the historical data table corresponding to the external name is automatically created.
9. A photovoltaic power station information analysis system is characterized by comprising at least one collector, at least one photovoltaic power station corresponding to each collector and a photovoltaic power station information analysis cloud platform according to any one of claims 1 to 8; wherein:
the collector is used for communicating with the corresponding photovoltaic power stations through RS-485 lines by a Modbus protocol so as to collect real-time data of each photovoltaic power station and is used as a substation for receiving data collection of the photovoltaic power station information analysis cloud platform;
the photovoltaic power station information analysis cloud platform is communicated with the collectors in a wireless connection mode and used for acquiring real-time data of the photovoltaic power station from each collector; and transmitting the real-time data in a protocol message form.
10. A photovoltaic power station information analysis system is characterized by comprising a collector, a switch, measurement and control equipment, photovoltaic power stations correspondingly connected with the measurement and control equipment, and a photovoltaic power station information analysis cloud platform according to any one of claims 1 to 8; wherein:
the measurement and control equipment is used for communicating with the corresponding photovoltaic power stations through RS-485 lines by a Modbus protocol so as to acquire real-time data of each photovoltaic power station;
the switch is connected with the measurement and control equipment through a network cable and collects real-time data collected by each measurement and control equipment in a protocol message mode;
the collector is connected with the measurement and control equipment through a network cable and acquires real-time data received by the switch in a protocol message mode;
the photovoltaic power station information analysis cloud platform is communicated with the collectors in a wireless connection mode and used for acquiring real-time data of the photovoltaic power station from each collector; and transmitting the real-time data in a protocol message form.
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| CN111614316B (en) * | 2020-06-16 | 2021-06-22 | 国网电子商务有限公司 | Photovoltaic system power generation state monitoring method and device |
| CN111752899A (en) * | 2020-06-28 | 2020-10-09 | 中科三清科技有限公司 | Environment report generation method and device, electronic equipment and storage medium |
| CN112463878A (en) * | 2020-12-10 | 2021-03-09 | 中新春兴新能源电力（苏州）有限公司 | New forms of energy electric power fortune dimension platform |
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