CN114899949B - Data acquisition method and device suitable for commercial photovoltaic inverter - Google Patents
Data acquisition method and device suitable for commercial photovoltaic inverter Download PDFInfo
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Abstract
The invention provides a data acquisition method and device suitable for a commercial photovoltaic inverter, and relates to the technical field of photovoltaic inverters. The method comprises the following steps: and acquiring historical operating data, time information of each life cycle stage and theoretical stage data of the target photovoltaic inverter. And comparing the historical operating data with the theoretical stage data according to the time information of each life cycle stage to obtain all historical abnormal data. And setting key monitoring points according to historical abnormal data to carry out targeted monitoring. And a monitoring path is determined from historical operating data, so that the purpose of setting the monitoring path for the data acquisition and transmission process of the target photovoltaic inverter is achieved. And outputting a monitoring scheme by using the trained neural network model. Due to the fact that the monitoring scheme is matched with the data acquisition and transmission process of the target photovoltaic inverter, the working processes of the data acquisition device and the cloud platform are monitored according to the monitoring scheme, and effective monitoring and targeted monitoring of the data acquisition process are achieved.
Description
Technical Field
The invention relates to the technical field of photovoltaic inverters, in particular to a data acquisition method and device suitable for a commercial photovoltaic inverter.
Background
Energy is an important material basis for human survival, and with the increasing severity of energy problems, new energy is more and more widely applied in the world, and solar energy is more and more popular at home and abroad as a pollution-free renewable energy. Because photovoltaic inverters can convert the variable dc voltage produced by Photovoltaic (PV) solar panels into mains frequency Alternating Current (AC), the photovoltaic industry has good development prospects.
Although the photovoltaic data collector on the current market can meet the requirement for collecting the operating data of the photovoltaic inverter, in the photovoltaic data collection and transmission process, data errors or data loss are very common, the prior art cannot effectively monitor and pertinently monitor the data collection process, the data deviation collected by the photovoltaic inverter is large or missing, and the user is inconvenient to find the collection error reason. Especially commercial type photovoltaic inverter, because the photovoltaic data that volume is great and gather are more, inconvenient user control photovoltaic data acquisition transmission process more.
Disclosure of Invention
The invention aims to provide a data acquisition method and a data acquisition device suitable for a commercial photovoltaic inverter, which are used for solving the problems that the prior art cannot effectively monitor and pertinently monitor the data acquisition process, the deviation of the data acquired by the photovoltaic inverter is large or the data acquired by the photovoltaic inverter is lost, and a user cannot conveniently find the reason for the acquisition error.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present application provides a data acquisition method suitable for a commercial photovoltaic inverter, which includes the following steps:
acquiring historical operating data of a target photovoltaic inverter;
acquiring time information and theoretical stage data of each life cycle stage of a target photovoltaic inverter;
comparing historical operating data with theoretical stage data of each life cycle stage based on the time information of each life cycle stage to obtain all historical abnormal data and corresponding acquisition time;
setting a plurality of key monitoring points according to the acquisition time corresponding to each historical abnormal data;
determining a photovoltaic data acquisition transmission path according to historical operating data, and determining a monitoring path according to the photovoltaic data acquisition transmission path;
inputting all key monitoring points and monitoring paths into the trained neural network model to obtain a corresponding monitoring scheme;
and monitoring the working process of a data collector for collecting the operating data of the target photovoltaic inverter and a cloud platform for storing the operating data of the target photovoltaic inverter according to the monitoring scheme.
In some embodiments of the present invention, the step of comparing the historical operating data with the theoretical stage data of each lifecycle stage based on the time information of each lifecycle stage to obtain all historical abnormal data and corresponding acquisition time includes:
determining historical operating data corresponding to each life cycle stage according to the historical operating data based on the time information of each life cycle stage;
and comparing historical operating data corresponding to each life cycle stage with theoretical stage data, wherein if the historical operating data corresponding to one life cycle stage exceeds the threshold value of the corresponding theoretical stage data, the historical operating data is historical abnormal data.
In some embodiments of the present invention, the monitoring the working processes of the data collector for collecting the operation data of the target photovoltaic inverter and the cloud platform for storing the operation data of the target photovoltaic inverter according to the monitoring scheme includes:
acquiring actual operation data of the corresponding photovoltaic inverter through a data acquisition unit, transmitting the actual operation data to a cloud platform, and receiving and storing the actual operation data by the cloud platform;
and comparing the actual operation data with the theoretical stage data, and judging whether the actual operation data is abnormal or not.
In some embodiments of the present invention, after the step of monitoring the working process of the data collector for collecting the operation data of the target photovoltaic inverter and the cloud platform for storing the operation data of the target photovoltaic inverter according to the monitoring scheme, the method further includes:
monitoring the working processes of the data acquisition unit and the cloud platform according to the monitoring scheme to obtain monitoring data;
and uploading the monitoring data periodically according to preset time, and storing the monitoring data in a database.
In some embodiments of the present invention, after the step of monitoring the working processes of the data collector for collecting the operation data of the target photovoltaic inverter and the cloud platform for storing the operation data of the target photovoltaic inverter according to the monitoring scheme, the method further includes:
and if the actual operation data is abnormal data, calling the monitoring data from the database according to the acquisition time of the abnormal data so as to trace the abnormal reason of the abnormal data.
In some embodiments of the present invention, after the step of acquiring actual operation data of the corresponding photovoltaic inverter by the data acquisition device and transmitting the actual operation data to the cloud platform, the method further includes:
and judging whether the target photovoltaic inverter needs to be maintained or not according to the actual operation data.
In some embodiments of the present invention, before the step of inputting all the important monitoring points and monitoring paths into the trained neural network model to obtain the corresponding monitoring solution, the method further includes:
establishing a neural network model;
obtaining a plurality of samples, wherein the samples are photovoltaic data acquisition transmission paths;
and training the neural network model by using a plurality of samples to obtain the trained neural network model.
In a second aspect, the present application provides a data acquisition device suitable for a commercial photovoltaic inverter, including:
the historical operating data acquisition module is used for acquiring historical operating data of the target photovoltaic inverter;
the theoretical phase data acquisition module is used for acquiring time information and theoretical phase data of each life cycle phase of the target photovoltaic inverter;
the data comparison module is used for comparing historical operating data with theoretical stage data of each life cycle stage based on the time information of each life cycle stage to obtain all historical abnormal data and corresponding acquisition time;
the key monitoring point setting module is used for setting a plurality of key monitoring points according to the acquisition time corresponding to each historical abnormal data;
the monitoring path determining module is used for determining a photovoltaic data acquisition transmission path according to the historical operating data and determining a monitoring path according to the photovoltaic data acquisition transmission path;
the monitoring scheme obtaining module is used for inputting all key monitoring points and monitoring paths into the trained neural network model to obtain a corresponding monitoring scheme;
and the monitoring module is used for monitoring the working process of a data collector for collecting the operating data of the target photovoltaic inverter and a cloud platform for storing the operating data of the target photovoltaic inverter according to the monitoring scheme.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The program or programs, when executed by a processor, implement the method of any of the first aspects as described above.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method according to any one of the first aspect described above.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the invention provides a data acquisition method and a data acquisition device suitable for a commercial photovoltaic inverter, which comprise the following steps: and acquiring historical operating data of the target photovoltaic inverter. And acquiring time information and theoretical phase data of each life cycle phase of the target photovoltaic inverter. And comparing the historical operating data with theoretical stage data of each life cycle stage based on the time information of each life cycle stage to obtain all historical abnormal data and corresponding acquisition time. And setting a plurality of key monitoring points according to the acquisition time corresponding to each historical abnormal data. And determining a photovoltaic data acquisition transmission path according to the historical operating data, and determining a monitoring path according to the photovoltaic data acquisition transmission path. And inputting all key monitoring points and monitoring paths into the trained neural network model to obtain a corresponding monitoring scheme. And according to the monitoring scheme, monitoring the working process of a data collector for collecting the operating data of the target photovoltaic inverter and a cloud platform for storing the operating data of the target photovoltaic inverter.
The method and the device firstly acquire historical operating data of the target photovoltaic inverter, time information of each life cycle stage and theoretical stage data. And then determining historical operating data corresponding to each life cycle stage from the historical operating data according to the time information of each life cycle stage. And comparing the historical operating data and the theoretical stage data in any life cycle stage, wherein if the historical operating data is inconsistent with the theoretical stage data, the historical operating data is historical abnormal data, so that all historical abnormal data are obtained for each life cycle stage. And then, determining the abnormal acquisition time points in the historical operation data of the target photovoltaic inverter according to the historical abnormal data, and performing targeted monitoring at the abnormal acquisition time points by setting key monitoring points. And a photovoltaic data acquisition transmission path is determined from historical operating data, so that a monitoring path is determined, the purpose of setting the monitoring path aiming at the data acquisition transmission process of the target photovoltaic inverter is realized, the monitoring path is more adaptive to the data acquisition transmission process of the target photovoltaic inverter, and the purpose of effectively monitoring the data acquisition process is also realized. And outputting a monitoring scheme according to all key monitoring points and monitoring paths by using the trained neural network model. Because the monitoring scheme is matched with the data acquisition and transmission process of the target photovoltaic inverter, the working processes of the data acquisition device and the cloud platform are monitored according to the monitoring scheme, and therefore the data acquisition process can be effectively monitored and not only can be pertinently monitored at the abnormal acquisition time points. Therefore, a user can conveniently monitor the photovoltaic data acquisition and transmission process.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a flowchart of a data acquisition method suitable for a commercial photovoltaic inverter according to an embodiment of the present invention;
fig. 2 is a flowchart of searching historical abnormal data according to an embodiment of the present invention;
FIG. 3 is a flow chart of a monitoring provided by an embodiment of the present invention;
fig. 4 is a block diagram of a data acquisition device suitable for a commercial photovoltaic inverter according to an embodiment of the present invention;
fig. 5 is a schematic structural block diagram of an electronic device according to an embodiment of the present invention.
Icon: 100-a data acquisition device suitable for commercial photovoltaic inverters; 110-historical operating data acquisition module; 120-theoretical stage data acquisition module; 130-a data comparison module; 140-key monitoring point setting module; 150-a monitoring path determination module; 160-monitoring scheme obtaining module; 170-a monitoring module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. 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 application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not construed as indicating or implying relative importance.
It should be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of an element identified by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in any process, method, article, or apparatus that comprises the element.
In the description of the present application, it should be noted that if the terms "upper", "lower", "inner", "outer", etc. are used to indicate an orientation or positional relationship based on an orientation or positional relationship shown in the drawings or an orientation or positional relationship which is usually placed when the product of the application is used, the description is merely for convenience of description and simplification, but the indication or suggestion that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the application.
In the description of the present application, it should also be noted that, unless explicitly stated or limited otherwise, the terms "disposed" and "connected" should be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in this application will be understood to be a specific case for those of ordinary skill in the art.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments and features of the embodiments described below can be combined with one another without conflict.
Examples
Referring to fig. 1, fig. 1 is a flowchart illustrating a data acquisition method for a commercial photovoltaic inverter according to an embodiment of the present invention. The embodiment of the application provides a data acquisition method suitable for a commercial photovoltaic inverter, which comprises the following steps:
s110: acquiring historical operating data of a target photovoltaic inverter;
for example, the historical operating data of the target pv inverter may include data such as the number of inverters, current, voltage, temperature, power generation, etc. of the target pv inverter.
S120: acquiring time information and theoretical stage data of each life cycle stage of a target photovoltaic inverter;
for example, the lifecycle stages of the target pv inverter may include an initial stage of equipment use, a frequent failure stage, an operation maintenance stage, and a disposal treatment stage, and the above theoretical stage data is operation data of the target pv inverter at different lifecycle stages.
S130: comparing historical operating data with theoretical stage data of each life cycle stage based on the time information of each life cycle stage to obtain all historical abnormal data and corresponding acquisition time;
specifically, according to the time information of each lifecycle stage, historical operating data corresponding to each lifecycle stage may be determined from the historical operating data. And then comparing the historical operating data and the theoretical stage data in any life cycle stage, wherein if the historical operating data is inconsistent with the theoretical stage data, the historical operating data is historical abnormal data, so that all historical abnormal data are obtained for each life cycle stage.
S140: setting a plurality of key monitoring points according to the acquisition time corresponding to each historical abnormal data;
specifically, the abnormal acquisition time points in the historical operation data of the target photovoltaic inverter are determined according to the historical abnormal data, so that the important monitoring points are set to perform targeted monitoring at the abnormal acquisition time points.
S150: determining a photovoltaic data acquisition transmission path according to historical operating data, and determining a monitoring path according to the photovoltaic data acquisition transmission path;
illustratively, after the actual operation data of the target photovoltaic inverter are collected by the data collector, the actual operation data are uploaded to the cloud platform, and the cloud platform receives and stores the actual operation data.
Specifically, the acquisition process of the data acquisition unit and the interaction process of the data acquisition unit and the cloud platform are determined from historical operating data to determine a photovoltaic data acquisition transmission path, so that a monitoring path is determined according to the photovoltaic data acquisition transmission path, the data acquisition transmission process of a target photovoltaic inverter is realized, the purpose of setting the monitoring path is realized, the monitoring path is enabled to be more adaptive to the data acquisition transmission process of the target photovoltaic inverter, and the purpose of effectively monitoring the data acquisition process is realized.
S160: inputting all key monitoring points and monitoring paths into the trained neural network model to obtain a corresponding monitoring scheme;
the trained neural network model can output a monitoring scheme according to all key monitoring points and monitoring paths. According to the steps S140 and S150, all the important monitoring points and monitoring paths are determined by the historical operating data of the target photovoltaic inverter, and the monitoring scheme is also matched with the data acquisition and transmission process of the target photovoltaic inverter.
S170: and according to the monitoring scheme, monitoring the working process of a data collector for collecting the operating data of the target photovoltaic inverter and a cloud platform for storing the operating data of the target photovoltaic inverter.
Specifically, because the monitoring scheme matches with the data acquisition transmission process of target photovoltaic inverter, then monitor the working process of data collection ware and cloud platform according to the monitoring scheme, not only can be in the collection time point that often appears unusually carrying out the pertinence control, can carry out effective control to the data acquisition process moreover. Therefore, the photovoltaic data acquisition and transmission process can be monitored more conveniently by a user through effective and targeted monitoring of the data acquisition process.
Referring to fig. 2, fig. 2 is a flowchart illustrating a method for searching historical abnormal data according to an embodiment of the present invention. In some embodiments of this embodiment, the step of comparing the historical operating data with the theoretical stage data of each lifecycle stage based on the time information of each lifecycle stage to obtain all historical abnormal data and corresponding collection time includes:
s131: determining historical operation data corresponding to each life cycle stage according to the historical operation data based on the time information of each life cycle stage;
s132: and comparing the historical operating data corresponding to each life cycle stage with the theoretical stage data, wherein if the historical operating data corresponding to one life cycle stage exceeds the threshold value of the corresponding theoretical stage data, the historical operating data is historical abnormal data.
Specifically, historical operating data corresponding to each lifecycle stage is determined from historical operating data according to time information of each lifecycle stage. And then comparing the historical operating data and the theoretical stage data in any life cycle stage to judge whether the historical operating data is historical abnormal data or not, so that all historical abnormal data are obtained for each life cycle stage.
Referring to fig. 3, fig. 3 is a flowchart illustrating a monitoring method according to an embodiment of the present invention. In some embodiments of this embodiment, the step of monitoring the working processes of the data collector for collecting the operation data of the target photovoltaic inverter and the cloud platform for storing the operation data of the target photovoltaic inverter according to the monitoring scheme includes:
s171: acquiring actual operation data of the corresponding photovoltaic inverter through a data acquisition unit, transmitting the actual operation data to a cloud platform, and receiving and storing the actual operation data by the cloud platform;
s172: and comparing the actual operation data with the theoretical stage data to judge whether the actual operation data is abnormal. Therefore, the purpose of judging the abnormity of the actual operation data of the target photovoltaic inverter is achieved, and the situation that the acquired actual operation data has large deviation or is lost is avoided.
In some embodiments of this embodiment, after the step of monitoring the working process of the data collector for collecting the target photovoltaic inverter operating data and the cloud platform for storing the target photovoltaic inverter operating data according to the monitoring scheme, the method further includes:
monitoring the working processes of the data acquisition unit and the cloud platform according to the monitoring scheme to obtain monitoring data;
and uploading the monitoring data periodically according to preset time, and storing the monitoring data in a database.
For example, the monitoring data may include monitoring video data and operating status data of the target photovoltaic inverter.
In some embodiments of this embodiment, after the step of monitoring the working process of the data collector for collecting the target photovoltaic inverter operating data and the cloud platform for storing the target photovoltaic inverter operating data according to the monitoring scheme, the method further includes:
if the actual operation data are abnormal data, the monitoring data are called from the database according to the acquisition time of the abnormal data so as to trace the abnormal reason of the abnormal data.
Specifically, when the actual operation data is abnormal, the monitoring data is called according to the acquisition time of the abnormal data. Therefore, according to the monitoring data, a user can conveniently find the reason of data acquisition error, namely the abnormal reason.
In some embodiments of this embodiment, after the step of collecting actual operating data corresponding to the photovoltaic inverter by the data collector and transmitting the actual operating data to the cloud platform, the method further includes:
and judging whether the target photovoltaic inverter needs to be maintained or not according to the actual operation data.
Specifically, the actual operation data may be compared with the theoretical stage data to determine whether the target photovoltaic inverter needs to be maintained. And if the photovoltaic inverter needs to be maintained, sending a maintenance instruction to remind a user that the current target photovoltaic inverter needs to be maintained or replaced.
In some embodiments of this embodiment, before the step of inputting all the important monitoring points and monitoring paths into the trained neural network model to obtain the corresponding monitoring scheme, the method further includes:
establishing a neural network model;
obtaining a plurality of samples, wherein the samples are photovoltaic data acquisition transmission paths;
and training the neural network model by using a plurality of samples to obtain the trained neural network model.
Specifically, the monitoring scheme can be output according to all key monitoring points and monitoring paths through the trained neural network model.
Referring to fig. 4, fig. 4 is a block diagram illustrating a data acquisition device 100 suitable for a commercial photovoltaic inverter according to an embodiment of the present invention. The embodiment of the present application provides a data acquisition device 100 suitable for commercial type photovoltaic inverter, it includes:
a historical operating data obtaining module 110, configured to obtain historical operating data of the target photovoltaic inverter;
a theoretical stage data obtaining module 120, configured to obtain time information and theoretical stage data of each life cycle stage of the target photovoltaic inverter;
the data comparison module 130 is configured to compare the historical operating data with theoretical stage data of each life cycle stage based on time information of each life cycle stage to obtain all historical abnormal data and corresponding acquisition time;
the key monitoring point setting module 140 is configured to set a plurality of key monitoring points according to the acquisition time corresponding to each historical abnormal data;
the monitoring path determining module 150 is configured to determine a photovoltaic data acquisition transmission path according to the historical operating data, and determine a monitoring path according to the photovoltaic data acquisition transmission path;
a monitoring scheme obtaining module 160, configured to input all key monitoring points and monitoring paths into the trained neural network model to obtain a corresponding monitoring scheme;
and the monitoring module 170 is configured to monitor the working process of the data collector for collecting the operation data of the target photovoltaic inverter and the working process of the cloud platform for storing the operation data of the target photovoltaic inverter according to the monitoring scheme.
In the implementation process, the device firstly acquires historical operation data of the target photovoltaic inverter, time information of each life cycle stage and theoretical stage data. And then determining historical operating data corresponding to each life cycle stage from the historical operating data according to the time information of each life cycle stage. And comparing historical operating data and theoretical stage data at any life cycle stage, and if the historical operating data is inconsistent with the theoretical stage data, the historical operating data is historical abnormal data, so that all historical abnormal data are obtained for each life cycle stage. And then determining the abnormal acquisition time points in the historical operation data of the target photovoltaic inverter according to the historical abnormal data, so as to perform targeted monitoring at the abnormal acquisition time points by setting key monitoring points. And a photovoltaic data acquisition transmission path is determined from historical operating data, so that a monitoring path is determined, the purpose of setting the monitoring path aiming at the data acquisition transmission process of the target photovoltaic inverter is realized, the monitoring path is more adaptive to the data acquisition transmission process of the target photovoltaic inverter, and the purpose of effectively monitoring the data acquisition process is also realized. And outputting a monitoring scheme according to all key monitoring points and monitoring paths by using the trained neural network model. Due to the fact that the monitoring scheme is matched with the data acquisition and transmission process of the target photovoltaic inverter, the working processes of the data acquisition device and the cloud platform are monitored according to the monitoring scheme, and therefore the data acquisition process can be effectively monitored, and not only can the data acquisition process be pertinently monitored at the time points of frequent abnormal acquisition. Therefore, a user can conveniently monitor the photovoltaic data acquisition and transmission process.
Referring to fig. 5, fig. 5 is a schematic structural block diagram of an electronic device according to an embodiment of the present disclosure. The electronic device comprises a memory 101, a processor 102 and a communication interface 103, wherein the memory 101, the processor 102 and the communication interface 103 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, such as program instructions/modules corresponding to the data acquisition device 100 for a commercial photovoltaic inverter provided in the embodiments of the present application, and the processor 102 executes the software programs and modules stored in the memory 101, so as to perform various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Read Only Memory (EPROM), an electrically Erasable Read Only Memory (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
It will be appreciated that the configuration shown in fig. 5 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 5 or have a different configuration than shown in fig. 5. The components shown in fig. 5 may be implemented in hardware, software, or a combination thereof.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. A data acquisition method suitable for a commercial photovoltaic inverter is characterized by comprising the following steps:
acquiring historical operating data of a target photovoltaic inverter;
acquiring time information and theoretical stage data of each life cycle stage of a target photovoltaic inverter;
comparing the historical operating data with theoretical stage data of each life cycle stage based on the time information of each life cycle stage to obtain all historical abnormal data and corresponding acquisition time;
setting a plurality of key monitoring points according to the acquisition time corresponding to each historical abnormal data;
determining a photovoltaic data acquisition transmission path according to the historical operating data, and determining a monitoring path according to the photovoltaic data acquisition transmission path;
inputting all key monitoring points and the monitoring paths into the trained neural network model to obtain a corresponding monitoring scheme;
and monitoring the working process of a data collector for collecting the operating data of the target photovoltaic inverter and a cloud platform for storing the operating data of the target photovoltaic inverter according to the monitoring scheme.
2. The data acquisition method suitable for the commercial photovoltaic inverter according to claim 1, wherein the step of comparing the historical operation data with theoretical phase data of each life cycle phase based on time information of each life cycle phase to obtain all historical abnormal data and corresponding acquisition time comprises:
determining historical operating data corresponding to each life cycle stage according to the historical operating data based on the time information of each life cycle stage;
and comparing the historical operating data corresponding to each life cycle stage with the theoretical stage data, wherein if the historical operating data corresponding to one life cycle stage exceeds the threshold value of the corresponding theoretical stage data, the historical operating data is historical abnormal data.
3. The data acquisition method suitable for the commercial photovoltaic inverter according to claim 1, wherein the step of monitoring the working process of the data acquisition unit for acquiring the operation data of the target photovoltaic inverter and the cloud platform for storing the operation data of the target photovoltaic inverter according to the monitoring scheme comprises:
acquiring actual operation data of a corresponding photovoltaic inverter through a data acquisition unit, and transmitting the actual operation data to a cloud platform, wherein the cloud platform receives and stores the actual operation data;
and comparing the actual operation data with theoretical stage data to judge whether the actual operation data is abnormal or not.
4. The data acquisition method suitable for the commercial photovoltaic inverter according to claim 3, wherein after the step of monitoring the working process of the data acquisition device for acquiring the operation data of the target photovoltaic inverter and the cloud platform for storing the operation data of the target photovoltaic inverter according to the monitoring scheme, the method further comprises:
according to the monitoring scheme, monitoring the working process of the data acquisition unit and the cloud platform to obtain monitoring data;
and uploading the monitoring data periodically according to preset time, and storing the monitoring data to a database.
5. The data acquisition method suitable for the commercial photovoltaic inverter according to claim 4, wherein after the step of monitoring the working process of the data acquisition device for acquiring the operation data of the target photovoltaic inverter and the cloud platform for storing the operation data of the target photovoltaic inverter according to the monitoring scheme, the method further comprises:
and if the actual operation data is abnormal data, calling the monitoring data from the database according to the acquisition time of the abnormal data so as to trace the abnormal reason of the abnormal data.
6. The data acquisition method suitable for the commercial photovoltaic inverter according to claim 3, wherein after the step of acquiring actual operation data of the corresponding photovoltaic inverter by the data acquisition device and transmitting the actual operation data to the cloud platform, the method further comprises:
and judging whether the target photovoltaic inverter needs to be maintained or not according to the actual operation data.
7. The data acquisition method suitable for the commercial photovoltaic inverter according to claim 1, wherein before the step of inputting all the key monitoring points and the monitoring paths into the trained neural network model to obtain the corresponding monitoring scheme, the method further comprises:
establishing a neural network model;
obtaining a plurality of samples, wherein the samples are photovoltaic data acquisition transmission paths;
and training the neural network model by using a plurality of samples to obtain the trained neural network model.
8. A data acquisition device suitable for a commercial photovoltaic inverter, comprising:
the historical operating data acquisition module is used for acquiring historical operating data of the target photovoltaic inverter;
the theoretical stage data acquisition module is used for acquiring time information and theoretical stage data of each life cycle stage of the target photovoltaic inverter;
the data comparison module is used for comparing the historical operating data with theoretical stage data of each life cycle stage based on the time information of each life cycle stage to obtain all historical abnormal data and corresponding acquisition time;
the key monitoring point setting module is used for setting a plurality of key monitoring points according to the acquisition time corresponding to each historical abnormal data;
the monitoring path determining module is used for determining a photovoltaic data acquisition transmission path according to the historical operating data and determining a monitoring path according to the photovoltaic data acquisition transmission path;
the monitoring scheme obtaining module is used for inputting all key monitoring points and the monitoring paths into the trained neural network model to obtain corresponding monitoring schemes;
and the monitoring module is used for monitoring the working process of a data collector for collecting the operation data of the target photovoltaic inverter and a cloud platform for storing the operation data of the target photovoltaic inverter according to the monitoring scheme.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the one or more programs, when executed by the processor, implement the method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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