CN111652485A - New energy data acquisition and analysis system based on big data platform - Google Patents
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Abstract
The invention relates to a new energy data acquisition and analysis system based on a big data platform, which comprises a central processing module, an acquisition module and a storage module, wherein the acquisition module and the storage module are connected with the central processing module, and the big data basic analysis module is connected with the storage module through a calling module, wherein: the acquisition module is used for acquiring new energy data and sending the new energy data; the central processing module is used for receiving the new energy data, screening and classifying the new energy data, and then sending the new energy data to the storage module for storage; and the big data basic analysis module is used for acquiring the new energy data from the storage module through the calling module, and comparing and accounting the new energy data to obtain an accounting result. The invention has novel design, is convenient to record new energy data, and can optimize the new energy power system according to the calculated data.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a new energy data acquisition and analysis system based on a big data platform.
Background
And (3) new energy: also known as unconventional energy sources. Refers to various forms of energy sources other than traditional energy sources. The energy to be popularized is energy which is just developed and utilized or is actively researched, such as solar energy, geothermal energy, wind energy, ocean energy, biomass energy, nuclear fusion energy and the like.
The new energy electric power belongs to the existing environment-friendly electric power output mode, and in the era that the automation level of the current electric power system is developing day by day, more and more automation devices and systems are applied to the electric power system, and the functions are more and more complex.
In the new energy power system, since there are power transmission loss and material loss, it is necessary to perform loss evaluation on the whole new energy power system to reduce the existence of defects in each step.
Disclosure of Invention
The invention aims to provide a new energy data acquisition and analysis system based on a big data platform to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
the utility model provides a new forms of energy data acquisition analytic system based on big data platform, big data platform based new forms of energy data acquisition analytic system include central processing module and with collection module and the storage module that central processing module is connected still include through calling the module with big data basis analysis module that the storage module is connected, wherein:
the acquisition module is used for acquiring new energy data and sending the new energy data;
the central processing module is used for receiving the new energy data, screening and classifying the new energy data, and then sending the new energy data to the storage module for storage;
the big data base analysis module is used for acquiring the new energy data from the storage module through the calling module, comparing and accounting the new energy data to obtain an accounting result, and feeding the accounting result back to the storage module for storage.
As a further scheme of the invention: the new energy data acquisition and analysis system based on the big data platform further comprises a power supply module, wherein the power supply module is electrically connected with the central processing module and used for supplying power to the central processing module.
As a still further scheme of the invention: the storage module comprises a primary storage submodule and a secondary storage submodule, the primary storage submodule is connected with the central processing module and the calling module, and the secondary storage submodule is connected with the big data basic analysis module.
As a still further scheme of the invention: the storage module is also connected with an input module, and the input module is used for inputting basic new energy data into the primary storage sub-module.
As a still further scheme of the invention: the central processing module comprises a central processor, a data screening module, a data classification module and a data transmission module, wherein:
the central processing unit is used for receiving the new energy data and sending the new energy data;
the data screening module is used for receiving the new energy data, screening the new energy data to remove unreasonable data information, and sending the screened new energy data to the data classification module;
and the data classification module is used for classifying the new energy data and sending the new energy data to the primary storage sub-module for storage through the data transmission module according to the classes.
As a still further scheme of the invention: the central processor adopts an Intel (R) core (TM)2Duo CPUE7500@2.93GHz model processor.
As a still further scheme of the invention: the big data basic analysis module comprises a data receiving module, a data comparison module, a data accounting module and a result output module, wherein the data receiving module receives the new energy data sent by the calling module and sends the new energy data to the data comparison module, the data comparison module compares reference data prestored in the storage module with the new energy data and carries out new energy data accounting through the data accounting module, and the result after accounting is sent to the secondary storage sub-module through the result output module to be stored.
Compared with the prior art, the invention has the beneficial effects that: the novel energy resource analysis system is novel in design, the set acquisition module is used for acquiring the new energy resource data, the new energy resource data are screened and classified by the central processing module and then are sent to the storage module for storage, the set big data base analysis module is used for analyzing and accounting the stored new energy resource data to obtain an analysis structure, the analysis result is sent to the storage module for storage, the new energy resource data are conveniently recorded, the new energy resource power system can be optimized according to the accounted data, and the novel energy resource analysis system is high in practicability.
Drawings
Fig. 1 is a structural block diagram of a new energy data acquisition and analysis system based on a big data platform.
Fig. 2 is a structural block diagram of a central processing module in a new energy data acquisition and analysis system based on a big data platform.
Fig. 3 is a structural block diagram of a big data basic analysis module in the new energy data acquisition and analysis system based on the big data platform.
In the figure: 101-power supply module, 102-acquisition module, 103-central processing module, 104-storage module, 105-calling module, 106-big data basic analysis module, 201-central processing unit, 202-data screening module, 203-data classification module, 204-data transmission module, 301-data receiving module, 302-data comparison module, 303-data accounting module and 304-result output module.
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.
In addition, an element of the present invention may be said to be "fixed" or "disposed" to another element, either directly on the other element or with intervening elements present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only and do not represent the only embodiments.
Referring to fig. 1, in an embodiment of the present invention, a new energy data acquisition and analysis system based on a big data platform includes a central processing module 103, an acquisition module 102 and a storage module 104 connected to the central processing module 103, and further includes a big data base analysis module 106 connected to the storage module 104 through a calling module 105, where:
the acquisition module 102 is configured to acquire new energy data and send the new energy data;
the central processing module 103 is configured to receive the new energy data, screen and classify the new energy data, and then send the new energy data to the storage module 104 for storage;
the big data base analysis module 106 is configured to obtain the new energy data from the storage module 104 through the calling module 105, compare and perform accounting on the new energy data to obtain an accounting result, and feed the accounting result back to the storage module 104 for storage.
In the embodiment of the invention, the set acquisition module 102 is used for acquiring the new energy data, the new energy data are screened and classified by the central processing module 103 and then are sent to the storage module 104 for storage, the set big data base analysis module 106 is used for analyzing and accounting the stored new energy data to obtain an analysis structure, and an analysis result is sent to the storage module 104 for storage, so that the new energy data can be conveniently recorded, the new energy power system can be optimized according to the accounted data, and the practicability is high.
In the embodiment of the invention, the new energy data comprises consumable expenditure data, power transmission loss data, power output quantity data and the like, and the data are counted through accounting and compared to detect whether the data exceed the preset data or not so as to facilitate subsequent adjustment.
In the embodiment of the present invention, the storage module 104 includes a memory, where the memory includes a nonvolatile storage medium and an internal memory, the nonvolatile storage medium stores an operating system, and may further store a computer program, and when the computer program is executed by the processor, the computer program may enable the processor to implement data storage; the internal memory may also have stored therein a computer program that, when executed by the processor, causes the processor to perform data storage.
As an embodiment of the present invention, the new energy data acquisition and analysis system based on the big data platform further includes a power supply module 101, and the power supply module 101 is electrically connected to the central processing module 103 and is configured to supply power to the central processing module 103.
In the embodiment of the present invention, it can be understood that the power supply module 101 supplies power to the whole system, may use commercial power, and may also use a power storage device of new energy to supply power in order to save energy.
As an embodiment of the present invention, the storage module 104 includes a primary storage sub-module and a secondary storage sub-module, the primary storage sub-module is connected to the central processing module 103 and the calling module 105, and the secondary storage sub-module is connected to the big data base analysis module 106.
In the embodiment of the present invention, the storage module 104 is configured as two sub-modules, so as to implement different storage functions, and implement separate storage of different data, so as to facilitate calling, it should be noted that the primary storage sub-module is used to store new energy data classified by the central processing module 103, and the secondary storage sub-module is used to store result data after being audited by the big data basic analysis module 106.
As an embodiment of the present invention, the storage module 104 is further connected to an entry module, and the entry module is configured to enter basic new energy data into the primary storage sub-module.
In the embodiment of the invention, the input module can adopt a computer to input, so that the storage of the basic new energy data is realized, and the basic new energy data is used for performing difference value accounting when the new energy data is compared, so that the defects of the power system can be clearly checked conveniently.
Referring to fig. 2 as an embodiment of the present invention, the central processing module 103 includes a central processor 201, a data filtering module 202, a data classifying module 203, and a data transmitting module 204, wherein:
the central processing unit 201 is configured to receive the new energy data and send the new energy data;
the data screening module 202 is configured to receive the new energy data, screen the new energy data to remove unreasonable data information, and send the screened new energy data to the data classification module 203;
the data classification module 203 is configured to classify the new energy data, and send the new energy data to the primary storage sub-module for storage through the data transmission module 204 according to the classification.
In the embodiment of the present invention, it can be understood that the data screening module 202 mainly removes unreasonable data to ensure that the new energy data transmitted to the storage module 104 are all within a reasonable range, thereby ensuring the accuracy of data acquisition.
In the embodiment of the present invention, the data classification module 203 is mainly used for performing overall classification on different types of new energy data, including consumable expenditure data, power transmission loss data, power output quantity data, and the like, so as to facilitate subsequent calling, and effectively ensure convenience in data analysis performed by the big data base analysis module.
As an embodiment of the present invention, the central processing unit 201 adopts an Intel (R) core (TM)2Duo CPUE7500@2.93GHz type processor.
Referring to fig. 3 as an embodiment of the present invention, the big data base analysis module includes a data receiving module 301, a data comparing module 302, a data accounting module 303, and a result output module 304, where the data receiving module 301 receives the new energy data sent by the calling module 105 and sends the new energy data to the data comparing module 302, the data comparing module 302 compares the reference data prestored in the storage module 104 with the new energy data, and performs new energy data accounting through the data accounting module 303, and the result after accounting is sent to the secondary storage sub-module through the result output module 304 for storage.
In the embodiment of the present invention, the new energy data after being computed by the data comparison module 302 and the data accounting module 303 are used to obtain an accounting result, which can be understood as a difference between the acquired new energy data and the basic data, so that an accurate data result can be effectively obtained.
Those skilled in the art will appreciate that the configurations shown in fig. 1, 2, and 3 are merely block diagrams of some configurations related to the present disclosure, and do not constitute limitations on the computing devices to which the present disclosure may be applied, and that a particular configuration may include more or less components than those shown, or some components may be combined, or have a different arrangement of components.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention 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 invention 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.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (7)
1. The big data platform-based new energy data acquisition and analysis system is characterized by comprising a central processing module (103), an acquisition module (102) and a storage module (104) which are connected with the central processing module (103), and a big data basic analysis module (106) which is connected with the storage module (104) through a calling module (105), wherein:
the acquisition module (102) is used for acquiring new energy data and sending the new energy data;
the central processing module (103) is used for receiving the new energy data, screening and classifying the new energy data, and then sending the new energy data to the storage module (104) for storage;
the big data basic analysis module (106) is used for acquiring the new energy data from the storage module (104) through the calling module (105), comparing and calculating the new energy data to obtain a calculation result, and feeding the calculation result back to the storage module (104) for storage.
2. The big data platform-based new energy data acquisition and analysis system according to claim 1, further comprising a power supply module (101), wherein the power supply module (101) is electrically connected to the central processing module (103) for supplying power to the central processing module (103).
3. The big data platform-based new energy data acquisition and analysis system according to claim 1, wherein the storage module (104) comprises a primary storage submodule and a secondary storage submodule, the primary storage submodule is connected with the central processing module (103) and the calling module (105), and the secondary storage submodule is connected with the big data base analysis module (106).
4. The big data platform-based new energy data acquisition and analysis system as claimed in claim 3, wherein the storage module (104) is further connected with an entry module, and the entry module is used for entering basic new energy data into the primary storage sub-module.
5. The big data platform-based new energy data acquisition and analysis system according to claim 3, wherein the central processing module (103) comprises a central processor (201), a data screening module (202), a data classification module (203), and a data transmission module (204), wherein:
the central processing unit (201) is used for receiving the new energy data and sending the new energy data;
the data screening module (202) is used for receiving the new energy data, screening the new energy data to remove unreasonable data information, and sending the screened new energy data to the data classification module (203);
the data classification module (203) is used for classifying the new energy data and sending the new energy data to the primary storage sub-module for storage through the data transmission module (204) according to the classes.
6. The big data platform-based new energy data acquisition and analysis system as claimed in claim 5, wherein the central processing unit (201) is an Intel (R) core (TM)2Duo CPU E7500@2.93GHz type processor.
7. The big data platform-based new energy data acquisition and analysis system as claimed in claim 3, wherein the big data base analysis module comprises a data receiving module (301), a data comparison module (302), a data accounting module (303) and a result output module (304), wherein the data receiving module (301) receives the new energy data sent by the calling module (105) and sends the new energy data to the data comparison module (302), the data comparison module (302) compares the reference data prestored in the storage module (104) with the new energy data and performs new energy data accounting through the data accounting module (303), and the result after accounting is sent to the secondary storage sub-module through the result output module (304) for storage.
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| CN113343691A (en) * | 2021-07-01 | 2021-09-03 | 浙江万里学院 | Big data monitoring terminal and application method thereof |
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Application publication date: 20200911 |