CN113723677A - Electric power system risk prediction system based on big data analysis - Google Patents
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Abstract
The invention discloses a power system risk prediction system based on big data analysis, which belongs to the field of big data acquisition and storage of power information and comprises a data acquisition module, a data processing module and a data storage module; the data acquisition module, the data processing module and the data storage module are connected to realize the acquisition and storage of the big data of the electric power information, so that the big data of the electric power information can be conveniently acquired from multiple aspects, the acquired big data of the electric power information can be timely counted and analyzed, multiple groups of data acquired by the data acquisition module are integrated to form a set of complete big database of the electric power information, and the trend analysis and prediction of the importance degree of each index can be realized; the safety of the big data storage of the power information is improved; and the large data storage cloud platform is arranged, so that the on-line storage, on-line watching and on-line sharing operation of the power information data are facilitated, and the condition of monitoring the power quality is conveniently mastered by users and power operation and maintenance personnel.
Description
Technical Field
The invention relates to the field of electric power information big data acquisition and storage, in particular to an electric power system risk prediction system based on big data analysis.
Background
The rapid development and wide application of information technology enable power production enterprises, transaction departments and users to accumulate a large amount of data by using the internet of things and the internet. As the scale and scope of database applications continue to expand, the increased ability of power management departments and related enterprises to manage transactions using computers has created enormous large-scale data sets, which are very complex to collect and store on a server.
The electric power system is an electric energy production and consumption system which is formed by links of power generation, power transmission, power transformation, power distribution, power utilization and the like. In order to realize the production and supply and sale of electric energy and simultaneously ensure the safe and stable operation of a power grid, the electric power system is respectively provided with corresponding information and control systems in each link and different levels, and the systems consist of various acquisition sensors, monitoring equipment, communication equipment, safety protection devices, automatic control devices and monitoring automation and dispatching automation systems and acquire, transmit and store mass data. The big electric power data are targeted at business trend prediction and data value mining, and mode innovation and application promotion facing typical business scenes are achieved by using key technologies in the aspects of data integration management, data storage, data calculation, analysis mining and the like. The large electric power data relates to links of power generation, power transmission, power transformation, power distribution, power utilization and scheduling, and is data analysis and mining across units, professions and businesses and data visualization. The big electric power data pass through the information-based service platform, drive the change of electric power value chain, from traditional use electric power production as the core, finally fall on the basic task with people as the center, and let the data create the theory of worth, can promote electric power from traditional high energy consumption, high emission, the low extensive formula development of inefficiency, turn to novel low energy consumption, low emission, efficient sustainable development.
The electric power big data exceeds the technical capacity of the data processing in the traditional technology, and in order to obtain the value in the data, a new support system must be established for the management and application of the electric power big data, which needs the data management and processing capacity of large-scale parallel processing. However, at present, a system for effectively acquiring and storing large electric power data is lacked, the transaction system analysis and storage functions of the large electric power data cannot be realized, the acquisition and storage of the large electric power information data cannot be realized, and the risk prediction is difficult.
Therefore, it is desirable to provide a risk prediction system for an electric power system based on big data analysis, aiming at solving the above problems.
Disclosure of Invention
In view of the defects in the prior art, an embodiment of the present invention provides a power system risk prediction system based on big data analysis, so as to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
a power system risk prediction system based on big data analysis comprises a data acquisition module, a data processing module and a data storage module;
the data acquisition module is connected with an electric power data module and a non-electric power data module and is used for acquiring electric power data and non-electric power data, and the data acquisition module is connected with the data processing module;
the data processing module comprises a data screening module, a data mixing module, a data integration module and a data analysis module;
the data storage module is used for being connected with the data processing module and storing the data processed by the data processing module; the data storage module comprises a data recording module, a data encryption module and source data.
As a further scheme of the invention, the electric power data module comprises a voltage acquisition module, a current acquisition module, a resistance acquisition module and a power acquisition module; the non-electric power data module comprises a temperature monitoring sensor, a humidity monitoring sensor and a camera monitoring module.
As a further scheme of the present invention, the voltage acquisition module is a voltage meter connected to the power circuit, a voltage acquisition chip and a voltage acquisition line connected to the voltage acquisition terminal are disposed in the voltage meter, the voltage acquisition line is connected to the voltage acquisition chip, and the voltage acquisition chip is configured to acquire voltage information of the power circuit and transmit voltage information data to the power data module.
As a further scheme of the present invention, the current collection module is an ammeter connected in series on the main circuit of the power circuit, and a switch for overcurrent and overvoltage protection is provided in the ammeter and is used for collecting current big data of the power information.
As a further scheme of the invention, the resistance acquisition module is a bridge type resistance acquisition device, and is connected with the voltage acquisition module and the current acquisition module at the input end of the power circuit.
As a further scheme of the present invention, the power acquisition module is used for acquiring current, voltage and power of the power circuit and transmitting power data to the data acquisition module.
As a further aspect of the present invention, the temperature monitoring sensor is a sensor for detecting a temperature of a cable of the power circuit; the humidity monitoring sensor is used for detecting the humidity of a cable of the power circuit; the camera monitoring module is an all-dimensional camera which is arranged on an electric power site and used for collecting video and picture information of an electric power circuit.
As a further scheme of the invention, the input end of the data screening module is connected with the output end of the data acquisition module; the input end of the data mixing module is connected with the output end of the data screening module; the input end of the data integration module is connected with the output end of the data mixing module; and the data analysis module is connected with the data processing module and used for receiving the data fed back by the data mixing module and analyzing the data.
As a further scheme of the present invention, an input end of the data recording module is connected to an output end of the data analysis module of the data processing module, an input end of the data recording module is connected to the source data, and an output end of the data recording module is further connected to the data encryption module.
The cloud platform comprises a cloud server for online data storage and online viewing and a sharing module for sharing data to each information platform.
In summary, compared with the prior art, the embodiment of the invention has the following beneficial effects:
according to the electric power system risk prediction system based on big data analysis, the big data of electric power information is collected and stored through the connection among the data collection module, the data processing module and the data storage module, the big data of the electric power information can be conveniently obtained from multiple aspects, the obtained big data of the electric power information is subjected to statistical analysis in time, multiple groups of data collected by the data collection module are integrated to form a set of complete big database of the electric power information, and the trend analysis and prediction of the importance degree of each index are realized; the safety of the big data storage of the power information is improved; and the large data storage cloud platform is arranged, so that the on-line storage, on-line watching and on-line sharing operation of the power information data are facilitated, and the condition that the power quality is monitored by a user and power operation and maintenance personnel is facilitated.
To more clearly illustrate the structural features and effects of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
Drawings
FIG. 1 is a system block diagram of an embodiment of the invention.
FIG. 2 is a system block diagram of a data acquisition module in an embodiment of the invention.
FIG. 3 is a system block diagram of a power data module in an embodiment of the invention.
FIG. 4 is a system block diagram of a non-power data module in an embodiment of the invention.
FIG. 5 is a system block diagram of a data processing module in an embodiment of the invention.
FIG. 6 is a block diagram of a system for data collection and storage in an embodiment of the invention.
Fig. 7 is a system block diagram of a data storage module in embodiment 1 of the present invention.
Fig. 8 is a system block diagram of a data storage module in embodiment 2 of the present invention.
Reference numerals: the system comprises a data acquisition module, a 2 data processing module, a 3 data storage module, a 4 big data storage cloud platform, an 11 electric power data module, a 12 non-electric power data module, a 111 voltage acquisition module, a 112 current acquisition module, a 113 resistance acquisition module, a 114 power acquisition module, a 121 temperature monitoring sensor, a 122 humidity monitoring sensor, a 123 camera monitoring module, a 21 data screening module, a 22 data mixing module, a 23 data integration module, a 24 data analysis module, a 31 data recording module, a 32 data encryption module, 33 source data, a 41 cloud server and a 42 sharing module.
Detailed Description
The technical solution of the present invention is further described with reference to the accompanying drawings and specific embodiments.
Example 1
Referring to fig. 1, the electric power system risk prediction system based on big data analysis includes a data acquisition module 1, a data processing module 2 and a data storage module 3, where the data acquisition module 1 is connected to an electric power data module 11 and a non-electric power data module 12, and is used for acquiring electric power data and non-electric power data, so as to obtain big data of electric power information from multiple aspects;
as shown in fig. 2-4, the power data module 11 includes a voltage acquisition module 111, a current acquisition module 112, a resistance acquisition module 113, and a power acquisition module 114, where the voltage acquisition module 111 is a voltmeter connected to the power circuit, a voltage acquisition chip and a voltage acquisition line connected to a voltage acquisition terminal are provided in the voltmeter, the voltage acquisition line is connected to the voltage acquisition chip, the voltage acquisition chip acquires voltage information of the power circuit and transmits the voltage information data to the power data module 11, so as to acquire voltage big data of the power information;
the current collection module 112 is an ammeter connected in series to the main circuit of the power circuit, and an overcurrent and overvoltage protection switch is arranged in the ammeter, so that current big data of power information can be collected conveniently.
The resistance acquisition module 113 is a bridge type resistance acquisition device, and is connected with the voltage acquisition module 111 and the current acquisition module 112 at the input end of the power circuit; the power acquisition module 114 is used for acquiring current, voltage and power of the power circuit and transmitting power data to the data acquisition module 1;
the non-electric power data module 12 comprises a temperature monitoring sensor 115, a humidity monitoring sensor 122 and a camera monitoring module 123; the temperature monitoring sensor 115 is a sensor for detecting the temperature of a cable of the power circuit, and is used for acquiring temperature data of the power circuit; the humidity monitoring sensor 13 is a sensor for detecting humidity of a cable of the power circuit, and is used for acquiring humidity data of the power circuit;
the camera monitoring module 123 is an all-dimensional camera which is installed on an electric power site and used for collecting video and picture information of an electric power circuit, the camera monitoring module 123 is used for collecting non-electric power data in a picture mode and sending the collected pictures to the non-electric power data module 12, then the data collection module 1 sends the data to the data processing module 2, and finally the data storage module 3 stores the data.
Referring to fig. 5, the data acquisition module 1 is connected to the data processing module 2, and the data processing module 2 includes a data screening module 21, a data mixing module 22, a data integration module 23, and a data analysis module 24, where an input end of the data screening module 21 is connected to an output end of the data acquisition module 1, and is configured to screen the power data and the non-power data that are transmitted to the data processing module 2 by the data acquisition module 1; the input end of the data mixing module 22 is connected with the output end of the data screening module 21 and is used for mixing the data screened by the data screening module 21; the input end of the data integration module 23 is connected with the output end of the data mixing module 22, and is used for integrating the data mixed by the data mixing module 22 and feeding the integrated data back to the data processing module 2; the data analysis module 24 is connected to the data processing module 2, and is configured to receive and analyze the data fed back by the data mixing module 22.
In the embodiment of the present invention, the data integration module 23 is configured to adjust the format of the obtained big data of the multiple pieces of electric power information to the data with a uniform format by using methods of extracting, converting, and loading the data, perform statistical analysis on the obtained big data of the electric power information in time, integrate multiple sets of data collected by the data collection module 1, form a set of complete big database of the electric power information, and realize trend analysis and prediction on the importance degree of each index;
the data storage module 3 is configured to be connected to the data processing module 2, and store data processed by the data processing module 2, as shown in fig. 6 and 7, the data storage module 3 includes a data recording module 31, a data encryption module 32, and source data 33, an input end of the data recording module 31 is connected to an output end of the data processing module 2, and specifically, is connected to an output end of the data analysis module 24 of the data processing module 2, and meanwhile, an input end of the data recording module 31 is further connected to the source data 33, and is configured to manually enter source data of a large data parameter of the power information directly or enter the source data in a network crawler manner; specifically, if the data belong to webpage data, crawling by a crawler tool is performed; if the data does not belong to the webpage data, other data obtained by downloading tools or manual import are used.
The output end of the data recording module 31 is further connected with a data encryption module 32, and the data encryption module 32 is used for performing encryption operation on data of the data storage module 3, so that the security of electric power information big data storage is improved.
Example 2
The electric power system risk prediction system based on big data analysis according to embodiment 1 includes a data acquisition module 1, a data processing module 2 and a data storage module 3, where the data acquisition module 1 is connected to an electric power data module 11 and a non-electric power data module 12 for acquiring electric power data and non-electric power data, so as to obtain big data of electric power information from multiple aspects;
as shown in fig. 2-4, the power data module 11 includes a voltage acquisition module 111, a current acquisition module 112, a resistance acquisition module 113, and a power acquisition module 114, where the voltage acquisition module 111 is a voltmeter connected to the power circuit, a voltage acquisition chip and a voltage acquisition line connected to a voltage acquisition terminal are provided in the voltmeter, the voltage acquisition line is connected to the voltage acquisition chip, the voltage acquisition chip acquires voltage information of the power circuit and transmits the voltage information data to the power data module 11, so as to acquire voltage big data of the power information;
the current collection module 112 is an ammeter connected in series to the main circuit of the power circuit, and an overcurrent and overvoltage protection switch is arranged in the ammeter, so that current big data of power information can be collected conveniently.
The resistance acquisition module 113 is a bridge type resistance acquisition device, and is connected with the voltage acquisition module 111 and the current acquisition module 112 at the input end of the power circuit; the power acquisition module 114 is used for acquiring current, voltage and power of the power circuit and transmitting power data to the data acquisition module 1;
the non-electric power data module 12 comprises a temperature monitoring sensor 115, a humidity monitoring sensor 122 and a camera monitoring module 123; the temperature monitoring sensor 115 is a sensor for detecting the temperature of a cable of the power circuit, and is used for acquiring temperature data of the power circuit; the humidity monitoring sensor 13 is a sensor for detecting humidity of a cable of the power circuit, and is used for acquiring humidity data of the power circuit;
the camera monitoring module 123 is an all-dimensional camera which is installed on an electric power site and used for collecting video and picture information of an electric power circuit, the camera monitoring module 123 is used for collecting non-electric power data in a picture mode and sending the collected pictures to the non-electric power data module 12, then the data collection module 1 sends the data to the data processing module 2, and finally the data storage module 3 stores the data.
In embodiment 1 of the present invention, as shown in fig. 8, the system further includes a big data storage cloud platform 4, the big data storage cloud platform 4 is connected to the data storage module 3 through a wireless network, the big data storage cloud platform 4 includes a cloud server 41 and a sharing module 42, the integrated electric power information data is also synchronized to the cloud server 41, online storage and online viewing of the electric power information data are facilitated, the electric power information data is conveniently shared to each information platform through the sharing module 42 for users and electric power operation and maintenance personnel to view, and the users and the electric power operation and maintenance personnel can conveniently master the condition of monitoring the electric power quality.
Referring to fig. 5, the data acquisition module 1 is connected to the data processing module 2, and the data processing module 2 includes a data screening module 21, a data mixing module 22, a data integration module 23, and a data analysis module 24, where an input end of the data screening module 21 is connected to an output end of the data acquisition module 1, and is configured to screen the power data and the non-power data that are transmitted to the data processing module 2 by the data acquisition module 1; the input end of the data mixing module 22 is connected with the output end of the data screening module 21 and is used for mixing the data screened by the data screening module 21; the input end of the data integration module 23 is connected with the output end of the data mixing module 22, and is used for integrating the data mixed by the data mixing module 22 and feeding the integrated data back to the data processing module 2; the data analysis module 24 is connected to the data processing module 2, and is configured to receive and analyze the data fed back by the data mixing module 22.
In the embodiment of the present invention, the data integration module 23 is configured to adjust the format of the obtained big data of the multiple pieces of electric power information to the data with a uniform format by using methods of extracting, converting, and loading the data, perform statistical analysis on the obtained big data of the electric power information in time, integrate multiple sets of data collected by the data collection module 1, form a set of complete big database of the electric power information, and realize trend analysis and prediction on the importance degree of each index;
the data storage module 3 is configured to be connected to the data processing module 2, and store data processed by the data processing module 2, as shown in fig. 6 and 7, the data storage module 3 includes a data recording module 31, a data encryption module 32, and source data 33, an input end of the data recording module 31 is connected to an output end of the data processing module 2, and specifically, is connected to an output end of the data analysis module 24 of the data processing module 2, and meanwhile, an input end of the data recording module 31 is further connected to the source data 33, and is configured to manually enter source data of a large data parameter of the power information directly or enter the source data in a network crawler manner; specifically, if the data belong to webpage data, crawling by a crawler tool is performed; if the data does not belong to the webpage data, other data obtained by downloading tools or manual import are used.
The output end of the data recording module 31 is further connected with a data encryption module 32, and the data encryption module 32 is used for performing encryption operation on data of the data storage module 3, so that the security of electric power information big data storage is improved.
The technical principle of the present invention has been described above with reference to specific embodiments, which are merely preferred modes of carrying out the present invention. The protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. Those skilled in the art will be able to conceive of other embodiments of the invention without inventive exercise, which fall within the scope of the present invention.
Claims (10)
1. A power system risk prediction system based on big data analysis comprises a data acquisition module (1), a data processing module (2) and a data storage module (3), and is characterized in that;
the data acquisition module (1) is connected with an electric power data module (11) and a non-electric power data module (12) and is used for acquiring electric power data and non-electric power data, and the data acquisition module (1) is connected with the data processing module (2);
the data processing module (2) comprises a data screening module (21), a data mixing module (22), a data integration module (23) and a data analysis module (24);
the data storage module (3) is used for being connected with the data processing module (2) and storing the data processed by the data processing module (2); the data storage module (3) comprises a data recording module (31), a data encryption module (32) and source data (33).
2. The big data analysis based power system risk prediction system of claim 1, wherein the power data module (11) comprises a voltage acquisition module (111), a current acquisition module (112), a resistance acquisition module (113), and a power acquisition module (114); the non-power data module (12) comprises a temperature monitoring sensor (115), a humidity monitoring sensor (122) and a camera monitoring module (123).
3. The electric power system risk prediction system based on big data analysis as claimed in claim 2, wherein the voltage collection module (111) is a voltmeter connected to the electric power circuit, a voltage collection chip and a voltage collection line connected to the voltage collection terminal are arranged in the voltmeter, the voltage collection line is connected to the voltage collection chip, and the voltage collection chip is used for collecting voltage information of the electric power circuit and transmitting the voltage information data to the electric power data module (11).
4. The electric power system risk prediction system based on big data analysis as claimed in claim 2, wherein the current collection module (112) is an ammeter connected in series with the main circuit of the electric power circuit, and an overcurrent and overvoltage protection switch is arranged in the ammeter for collecting big current data of the electric power information.
5. The big data analysis-based power system risk prediction system according to claim 2, wherein the resistance collection module (113) is a bridge resistance collector, and the voltage collection module (111) and the current collection module (112) are connected to an input end of the power circuit.
6. The big data analysis-based power system risk prediction system of claim 2, wherein the power collection module (114) is used for collecting current, voltage and power of a power circuit and transmitting power data to the data collection module (1).
7. The big data analysis based power system risk prediction system of claim 2, wherein the temperature monitoring sensor (115) is a sensor for temperature detection of a cable of a power circuit; the humidity monitoring sensor (122) is a sensor for detecting the humidity of a cable of the power circuit; the camera shooting monitoring module (123) is an all-dimensional camera which is arranged on an electric power site and used for collecting video and picture information of an electric power circuit.
8. The big data analysis-based power system risk prediction system according to claim 1, wherein the data screening module (21) has an input connected to an output of the data acquisition module (1); the input end of the data mixing module (22) is connected with the output end of the data screening module (21); the input end of the data integration module (23) is connected with the output end of the data mixing module (22); and the data analysis module (24) is connected with the data processing module (2) and is used for receiving and analyzing the data fed back by the data mixing module (22).
9. The big data analysis-based power system risk prediction system according to claim 1, wherein an input end of the data recording module (31) is connected to an output end of the data analysis module (24) of the data processing module (2), an input end of the data recording module (31) is connected to the source data (33), and an output end of the data recording module (31) is further connected to the data encryption module (32).
10. The big data analysis-based power system risk prediction system according to claim 1, further comprising a big data storage cloud platform (4), wherein the big data storage cloud platform (4) is connected with the data storage module (3) through a wireless network, and the big data storage cloud platform (4) comprises a cloud server (41) for online storage and online viewing of data and a sharing module (42) for sharing data to each information platform.
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