CN111882110A - Power information communication fault prediction system based on big data technology - Google Patents
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Abstract
The invention discloses an electric power information communication fault prediction system based on a big data technology, which comprises a big data acquisition platform and a big data monitoring platform, wherein the big data acquisition platform is wirelessly connected with the big data monitoring platform through a wireless communication module, the data acquisition platform is used for acquiring various data of electric power system communication equipment and collecting and sending the acquired data to the big data monitoring platform, and the big data monitoring platform is used for receiving the acquired data and analyzing the data to predict the fault generation of the electric power system communication equipment. The invention analyzes and predicts the fault generation of the communication equipment of the power system by various data, timely grasps the fault generation condition of the communication equipment and informs maintenance personnel to maintain, and ensures the normal operation of the communication line.
Description
Technical Field
The invention relates to the technical field of power communication, in particular to a power information communication fault prediction system based on a big data technology.
Background
The power communication network is developed to ensure safe and stable operation of the power system. The system is combined with a safety and stability control system and a dispatching automation system of an electric power system to be called as three main pillars for the safe and stable operation of the electric power system. At present, the method is the basis of power grid dispatching automation, network operation marketization and management modernization; is an important means for ensuring the safe, stable and economic operation of the power grid; is an important infrastructure of power systems. Because the power communication network has strict requirements on the reliability of communication and the rapidity and accuracy of protection control information transmission, and the power department has special resource advantages for developing communication.
The electric power communication equipment in the prior art is maintained by maintainers after a fault occurs, and in the maintenance process, an electric power communication line cannot work normally, so that the communication between the electric power equipment is influenced.
Therefore, in view of the above situation, there is an urgent need to develop a power information communication failure prediction system based on big data technology to overcome the shortcomings in the current practical application.
Disclosure of Invention
The present invention is directed to a power information communication failure prediction system based on big data technology, so as to solve the problems mentioned in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
the utility model provides an electric power information communication fault prediction system based on big data technology, includes big data acquisition platform and big data monitoring platform, big data acquisition platform passes through wireless communication module and big data monitoring platform wireless connection, and data acquisition platform is used for gathering each item data of electric power system communication equipment to collect the data that obtain and send to big data monitoring platform, big data monitoring platform is used for receiving each item data that obtain, through carrying out the trouble production of analysis prediction electric power system communication equipment to each item data.
As a further scheme of the invention: the big data acquisition platform comprises a data acquisition unit, a data screening unit, a data warehouse, a data mining unit and a data sending unit, wherein the data acquisition unit, the data screening unit, the data warehouse, the data mining unit and the data sending unit are sequentially connected.
As a further scheme of the invention: the data acquisition unit is arranged on the communication equipment and used for monitoring the working state of the communication equipment and the receiving and sending conditions of the data and sending the acquired and monitored data to the data screening unit in real time.
As a further scheme of the invention: the data screening unit is used for screening the metadata acquired by the data acquisition unit, removing repeated, invalid and redundant data, and sending the screened data to the data warehouse for storage.
As a further scheme of the invention: the big data acquisition platform further comprises a cloud backup unit, and the cloud backup unit is connected with the data warehouse.
As a further scheme of the invention: the big data monitoring platform comprises a data receiving unit, a data sorting unit, a table making unit and a display unit.
As a further scheme of the invention: the data receiving unit, the data sorting unit, the table making unit and the display unit are connected in sequence.
As a further scheme of the invention: the big data platform further comprises a data analysis unit and a result evaluation unit, wherein a data input end of the data analysis unit is connected with the data receiving unit, and a data output end of the data analysis unit is connected with the result evaluation unit.
As a further scheme of the invention: the big data platform also comprises a coping unit, and the coping unit is connected with the result evaluation unit.
As a further scheme of the invention: the data analysis unit comprises a data input component, a comparison component, a standard value input component and an error analysis set price, wherein the data input component is connected with the standard value input component and the comparison component, and the comparison component is connected with the error analysis component.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, the big data acquisition platform is used for acquiring various data of the communication equipment of the power system, the acquired data is collected and sent to the big data monitoring platform, the big data monitoring platform is used for receiving the acquired various data, the fault generation of the communication equipment of the power system is predicted by analyzing the various data, the fault generation condition of the communication equipment is mastered in time, and a maintainer is informed to maintain, so that the normal operation of a communication line is ensured.
Drawings
Fig. 1 is a block diagram of a power information communication failure prediction system based on big data technology.
Fig. 2 is a structural block diagram of a big data acquisition platform in the power information communication failure prediction system based on big data technology.
Fig. 3 is a structural block diagram of a big data monitoring platform in the power information communication failure prediction system based on big data technology.
Fig. 4 is a block diagram of a data analysis unit in a power information communication failure prediction system based on big data technology.
In the figure:
1-big data acquisition platform,
11-a data acquisition unit,
12-data screening Unit,
13-data warehouse,
14-data mining unit,
15-a data transmitting unit,
16-cloud backup unit,
2-a wireless communication module,
3-big data monitoring platform,
31-data receiving Unit,
32-a data sorting unit,
33-Table creation Unit,
34-display unit,
35-data analysis Unit,
351-data input component,
352-comparison component,
353-a standard value input component,
354-error analysis component,
36-result evaluation unit,
37-coping unit.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
Reference will now be made in detail to embodiments of the present patent, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present patent and are not to be construed as limiting the present patent.
Example 1
Referring to fig. 1-2, in an embodiment of the present invention, a power information communication fault prediction system based on a big data technology includes a big data acquisition platform 1 and a big data monitoring platform 3, where the big data acquisition platform 1 is wirelessly connected to the big data monitoring platform 3 through a wireless communication module 2;
the big data acquisition platform 1 is used for acquiring various data of the communication equipment of the power system and collecting and sending the acquired data to the big data monitoring platform 3;
the big data monitoring platform 3 is used for receiving various acquired data and predicting the fault generation of the power system communication equipment by analyzing the various data;
the big data acquisition platform 1 comprises a data acquisition unit 11, a data screening unit 12, a data warehouse 13, a data mining unit 14 and a data sending unit 15, wherein the data acquisition unit 11, the data screening unit 12, the data warehouse 13, the data mining unit 14 and the data sending unit 15 are sequentially connected;
the data acquisition unit 11 is installed on the communication equipment and is used for monitoring the working state of the communication equipment and the receiving and sending conditions of data and sending the acquired and monitored data to the data screening unit 12 in real time;
the data screening unit 12 is configured to screen metadata acquired by the data acquisition unit 11, remove duplicate, invalid, and redundant data, send the screened data to the data warehouse 13 for storage, and send the data to the wireless communication module 2 by using the data sending unit 15 after being processed by the data mining unit 14;
specifically, in this embodiment, the big data collection platform 1 further includes a cloud backup unit 16, the cloud backup unit 16 is connected to the data warehouse 13, and the data warehouse 13 sends the data stored inside to the cloud backup unit 16 for backup, so as to avoid data loss.
Example 2
Referring to fig. 1-2, in an embodiment of the present invention, a power information communication fault prediction system based on a big data technology includes a big data acquisition platform 1 and a big data monitoring platform 3, where the big data acquisition platform 1 is wirelessly connected to the big data monitoring platform 3 through a wireless communication module 2;
the big data acquisition platform 1 is used for acquiring various data of the communication equipment of the power system and collecting and sending the acquired data to the big data monitoring platform 3;
the big data monitoring platform 3 is used for receiving various acquired data and predicting the fault generation of the power system communication equipment by analyzing the various data;
the big data acquisition platform 1 comprises a data acquisition unit 11, a data screening unit 12, a data warehouse 13, a data mining unit 14 and a data sending unit 15, wherein the data acquisition unit 11, the data screening unit 12, the data warehouse 13, the data mining unit 14 and the data sending unit 15 are sequentially connected;
the data acquisition unit 11 is installed on the communication equipment and is used for monitoring the working state of the communication equipment and the receiving and sending conditions of data and sending the acquired and monitored data to the data screening unit 12 in real time;
the data screening unit 12 is configured to screen metadata acquired by the data acquisition unit 11, remove duplicate, invalid, and redundant data, send the screened data to the data warehouse 13 for storage, and send the data to the wireless communication module 2 by using the data sending unit 15 after being processed by the data mining unit 14;
specifically, in this embodiment, the big data collection platform 1 further includes a cloud backup unit 16, the cloud backup unit 16 is connected to the data warehouse 13, and the data warehouse 13 sends the data stored inside to the cloud backup unit 16 for backup, so as to avoid data loss.
Referring to fig. 3, the difference between the present embodiment and embodiment 1 is:
the big data monitoring platform 3 comprises a data receiving unit 31, a data sorting unit 32, a form making unit 33 and a display unit 34, wherein the data receiving unit 31, the data sorting unit 32, the form making unit 33 and the display unit 34 are sequentially connected, the data receiving unit 31 receives data from the wireless communication module 2 and then sends the data to the data sorting unit 32 for sorting and classifying the data, a ledger form is made through the form making unit 33, and finally the ledger form is displayed through the display unit 34, so that a user can conveniently know the working state of the communication equipment in time and predict the working state of the communication equipment;
the big data platform 3 further comprises a data analysis unit 35 and a result evaluation unit 36, wherein a data input end of the data analysis unit 35 is connected with the data receiving unit 31, a data output end of the data analysis unit 35 is connected with the result evaluation unit 36, the data obtained by collection is analyzed through the data analysis unit 35, a specific result is given, and then the result is analyzed through the result evaluation unit 36, so that the actual working state of the communication equipment is obtained;
the big data platform 3 further comprises a handling unit 37, the handling unit 37 is connected with the result evaluation unit 36, and the handling unit is used for making handling measures and scheduling equipment and personnel.
Example 3
Referring to fig. 1-2, in an embodiment of the present invention, a power information communication fault prediction system based on a big data technology includes a big data acquisition platform 1 and a big data monitoring platform 3, where the big data acquisition platform 1 is wirelessly connected to the big data monitoring platform 3 through a wireless communication module 2;
the big data acquisition platform 1 is used for acquiring various data of the communication equipment of the power system and collecting and sending the acquired data to the big data monitoring platform 3;
the big data monitoring platform 3 is used for receiving various acquired data and predicting the fault generation of the power system communication equipment by analyzing the various data;
the big data acquisition platform 1 comprises a data acquisition unit 11, a data screening unit 12, a data warehouse 13, a data mining unit 14 and a data sending unit 15, wherein the data acquisition unit 11, the data screening unit 12, the data warehouse 13, the data mining unit 14 and the data sending unit 15 are sequentially connected;
the data acquisition unit 11 is installed on the communication equipment and is used for monitoring the working state of the communication equipment and the receiving and sending conditions of data and sending the acquired and monitored data to the data screening unit 12 in real time;
the data screening unit 12 is configured to screen metadata acquired by the data acquisition unit 11, remove duplicate, invalid, and redundant data, send the screened data to the data warehouse 13 for storage, and send the data to the wireless communication module 2 by using the data sending unit 15 after being processed by the data mining unit 14;
specifically, in this embodiment, the big data collection platform 1 further includes a cloud backup unit 16, the cloud backup unit 16 is connected to the data warehouse 13, and the data warehouse 13 sends the data stored inside to the cloud backup unit 16 for backup, so as to avoid data loss.
Referring to fig. 3, embodiment 2 is different from embodiment 1 in that:
the big data monitoring platform 3 comprises a data receiving unit 31, a data sorting unit 32, a form making unit 33 and a display unit 34, wherein the data receiving unit 31, the data sorting unit 32, the form making unit 33 and the display unit 34 are sequentially connected, the data receiving unit 31 receives data from the wireless communication module 2 and then sends the data to the data sorting unit 32 for sorting and classifying the data, a ledger form is made through the form making unit 33, and finally the ledger form is displayed through the display unit 34, so that a user can conveniently know the working state of the communication equipment in time and predict the working state of the communication equipment;
the big data platform 3 further comprises a data analysis unit 35 and a result evaluation unit 36, wherein a data input end of the data analysis unit 35 is connected with the data receiving unit 31, a data output end of the data analysis unit 35 is connected with the result evaluation unit 36, the data obtained by collection is analyzed through the data analysis unit 35, a specific result is given, and then the result is analyzed through the result evaluation unit 36, so that the actual working state of the communication equipment is obtained;
the big data platform 3 further comprises a handling unit 37, the handling unit 37 is connected with the result evaluation unit 36, and the handling unit is used for making handling measures and scheduling equipment and personnel.
Referring to fig. 4, the difference between the present embodiment and embodiments 1-2 is:
the data analysis unit 35 comprises a data input module 351, a comparison module 352, a standard value input module 353 and an error analysis module 354, wherein the data input module 351 and the standard value input module 353 are connected with the comparison module 352, and the comparison module 352 and the error analysis module 354 are connected for comparing the actual data value with the standard data and carrying out error analysis.
In the description of the present application, it is to be understood that the orientation or positional relationship indicated by the directional terms such as "front, rear, upper, lower, left, right", "lateral, vertical, horizontal" and "top, bottom", etc., are generally based on the orientation or positional relationship shown in the drawings, and are used for convenience of description and simplicity of description only, and in the case of not making a reverse description, these directional terms do not indicate and imply that the device or element being referred to must have a particular orientation or be constructed and operated in a particular orientation, and therefore, should not be considered as limiting the scope of the present application; the terms "inner and outer" refer to the inner and outer relative to the profile of the respective component itself.
Spatially relative terms, such as "above … …," "above … …," "above … …," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial relationship to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is turned over, devices described as "above" or "on" other devices or configurations would then be oriented "below" or "under" the other devices or configurations. Thus, the exemplary term "above … …" can include both an orientation of "above … …" and "below … …". The device may be otherwise variously oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.
It should be noted that the terms "first", "second", and the like are used to define the components, and are only used for convenience of distinguishing the corresponding components, and the terms have no special meanings unless otherwise stated, and therefore, the scope of protection of the present application is not to be construed as being limited.
The above is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, it is possible to make several variations and modifications without departing from the concept of the present invention, and these should be considered as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the utility of the patent.
Claims (10)
1. The utility model provides an electric power information communication failure prediction system based on big data technology, its characterized in that, including big data acquisition platform (1) and big data monitoring platform (3), big data acquisition platform (1) is through wireless communication module (2) and big data monitoring platform (3) wireless connection, and data acquisition platform (1) is used for gathering each item data of electric power system communication equipment to collect the data that obtain and send to big data monitoring platform (3), and big data monitoring platform (3) are used for receiving each item data that obtain of gathering, through carrying out the trouble production of analysis prediction electric power system communication equipment to each item data.
2. The big data technology-based power information communication fault prediction system according to claim 1, wherein the big data collection platform (1) comprises a data collection unit (11), a data screening unit (12), a data warehouse (13), a data mining unit (14) and a data sending unit (15), and the data collection unit (11), the data screening unit (12), the data warehouse (13), the data mining unit (14) and the data sending unit (15) are sequentially connected.
3. The big data technology-based power information communication fault prediction system according to claim 2, wherein the data acquisition unit (11) is installed on the communication equipment, and is configured to monitor the working state of the communication equipment and the data receiving and sending conditions, and send the acquired and monitored data to the data screening unit (12) in real time.
4. The big data technology-based power information communication failure prediction system according to claim 3, wherein the data screening unit (12) is configured to screen the metadata collected by the data collection unit (11), remove duplicate, invalid and redundant data, and send the screened data to the data warehouse (13) for storage.
5. The big data technology-based power information communication failure prediction system according to claim 1, wherein the big data collection platform (1) further comprises a cloud backup unit (16), and the cloud backup unit (16) is connected with the data warehouse (13).
6. The big data technology-based power information communication failure prediction system according to any one of claims 1 to 5, wherein the big data monitoring platform (3) comprises a data receiving unit (31), a data sorting unit (32), a table making unit (33) and a display unit (34).
7. The big data technology-based power information communication failure prediction system according to claim 6, wherein the data receiving unit (31), the data sorting unit (32), the table making unit (33), and the display unit (34) are connected in sequence.
8. The big data technology-based power information communication failure prediction system according to claim 7, wherein the big data platform (3) further comprises a data analysis unit (35) and a result evaluation unit (36), a data input end of the data analysis unit (35) is connected with the data receiving unit (31), and a data output end of the data analysis unit (35) is connected with the result evaluation unit (36).
9. The big data technology-based power information communication failure prediction system according to claim 8, wherein the big data platform (3) further comprises a coping unit (37), and the coping unit (37) is connected with the result evaluation unit (36).
10. The big data technology-based power information communication failure prediction system according to claim 9, wherein the data analysis unit (35) comprises a data input component (351), a comparison component (352), a standard value input component (353) and an error analysis component (354), the data input component (351) and the standard value input component (353) are connected with the comparison component (352), and the comparison component (352) and the error analysis component (354) are connected with each other.
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| CN113989064A (en) * | 2021-09-24 | 2022-01-28 | 国网河北省电力有限公司新乐市供电分公司 | Power grid planning intelligent auxiliary analysis system based on big data |
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