CN117094843A - Distribution network real-time data and event information mapping method - Google Patents
Distribution network real-time data and event information mapping method Download PDFInfo
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- CN117094843A CN117094843A CN202310853930.0A CN202310853930A CN117094843A CN 117094843 A CN117094843 A CN 117094843A CN 202310853930 A CN202310853930 A CN 202310853930A CN 117094843 A CN117094843 A CN 117094843A
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Abstract
The invention provides a mapping method of distribution network real-time data and event information, which comprises the following steps: s1: acquiring distribution network real-time data and distribution network event information in a distribution network system; s2: preprocessing data and event information; s3: establishing a distribution network real-time data and event information mapping model; s4: the data and event information in the distribution network system are monitored in real time, and are fed back to the mapping model in real time; s5: and managing and processing the data and the event information through analysis of the mapping model: and analyzing the data and the event information through a mapping model, and realizing the management and the processing of the data and the event information in the distribution network system. The invention can solve the problems of low processing efficiency, complex management, low precision and the like of data and event information in the prior art.
Description
Technical Field
The invention relates to a distribution network monitoring information processing technology, in particular to a distribution network real-time data and event information mapping method, aiming at improving the efficiency and accuracy of distribution network automation system monitoring data information processing and event information processing.
Background
With the development and reform of power systems, distribution networks have become an important power supply link. As distribution network scale and complexity increase, accuracy and efficiency of grid data information processing and event information processing become key issues for grid management. Therefore, an efficient and accurate mapping method for real-time data and event information of a distribution network needs to be studied to improve the efficiency and accuracy of distribution network data information and accident information processing.
The state estimation technology is a technology for obtaining information such as state variables and node electric quantity of a power distribution network through measurement and calculation of various state quantities in the power distribution network. The technology can realize real-time monitoring and control of the power distribution network and automatically complete the operations of fault positioning, isolation, recovery and the like of the power distribution network. However, by using the state estimation technique, the mapping process is complex, the algorithm is complex, the processing efficiency is low, and the accuracy of data and event information processing is low.
Other prior art techniques suffer from the following disadvantages:
(1) The data and event information processing efficiency is low: the prior art has low processing efficiency on a large amount of complex data and event information, and is difficult to realize real-time processing and monitoring.
(2) Data and event information management is complex: in the prior art, the management of data and event information is complex, a mapping relation is not formed, and the operation and maintenance management of a distribution network system is difficult.
(3) The data and event information processing precision is low: in the prior art, the processing accuracy of data and event information is low, and the data and event information are difficult to predict and monitor accurately.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a mapping method for real-time data and event information of a distribution network, which is used for carrying out real-time monitoring on the data and the event information in a distribution network system through a real-time monitoring technology, feeding the data and the event information back to a mapping model, and realizing the management and the processing of the data and the event information through analyzing the mapping model, thereby improving the efficiency and the reliability of the distribution network system; the method and the device can solve the problems of low processing efficiency, complex management, low precision and the like of data and event information in the prior art.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
the invention discloses a mapping method of distribution network real-time data and event information, which comprises the following steps:
s1: acquiring distribution network real-time data and distribution network event information in a distribution network system; the distribution network system comprises a plurality of components;
s2: preprocessing data and event information: setting a type library; the type library comprises data types and characteristic data associated with the data types, the real-time data and event information of the distribution network are classified according to the data types, the real-time data and the event information of the distribution network obtained in the step S1 are preprocessed by adopting a rapid search algorithm, the characteristic data of the real-time data and the event information of the distribution network are extracted, and the characteristic data and corresponding components are mapped according to preset rules;
s3: establishing a distribution network real-time data and event information mapping model: establishing a mapping model of real-time data and event information of the distribution network according to the mapping of the characteristic data and the corresponding components; the mapping model is used for analyzing the real-time data and the event information of the distribution network to obtain a statistical analysis report;
s4: the data and event information in the distribution network system are monitored in real time, and are fed back to the mapping model in real time;
s5: and managing and processing the data and the event information through analysis of the mapping model: and analyzing the data and the event information through a mapping model, and realizing the management and the processing of the data and the event information in the distribution network system.
Further, in the step S1, the specific method for acquiring the data and the event information in the distribution network system is to collect the data and the event information in the distribution network system through various monitoring recording devices and monitoring tools, and store the data and the event information in a corresponding data center or database.
Further, the fast search algorithm is a Hashing algorithm.
Further, the preset rule is a rule specified by a user or a rule set according to a power industry standard.
Further, the characteristic data can be used for finding out the failure reason of the distribution network through statistical analysis and evaluation.
Further, the components comprise a distribution network terminal, communication equipment and a distribution network master station.
Further, the specific method for constructing the mapping model comprises the following steps: setting a characteristic tag for each real-time data, configuring key information of event information, establishing a mapping relation library, storing association relation between real-time data of a distribution network and the event information, setting the characteristic tag for the acquired real-time data, searching a corresponding real-time data type after acquiring the event information, establishing a connection, and finally generating a statistical analysis report of the monitoring data of the distribution network and the event information.
The method can process a large amount of complex data and event information by utilizing an efficient algorithm and correspond the complex data and event information to each component of the distribution network system, thereby establishing a real-time data and event information mapping model. The data and the event information in the distribution network system are monitored in real time through a real-time monitoring technology and fed back to the mapping model, management and processing of the data and the event information are realized through analyzing the mapping model, and the efficiency and the reliability of the distribution network system are improved. By the technical scheme, the problems of low data and event information processing efficiency, complex management, low precision and the like in the prior art can be solved.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention realizes real-time processing and monitoring of the distribution network data and the event information, and provides effective data support for management of the distribution network system.
2. By establishing the real-time data and event information mapping model, the invention simplifies the management and processing of the data and event information and improves the efficiency and reliability of the distribution network system.
3. The invention adopts the efficient algorithm to preprocess the information, thereby improving the speed and accuracy of information processing.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a flowchart of a mapping method for real-time data and event information of a distribution network according to an embodiment of the present invention.
Detailed Description
Embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
Other advantages and effects of the present disclosure will become readily apparent to those skilled in the art from the following disclosure, which is a description of the embodiments given by way of specific examples. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict. All other embodiments, which can be made by one of ordinary skill in the art without inventive effort, based on the embodiments in this disclosure are intended to be within the scope of this disclosure.
As shown in fig. 1, the mapping method of real-time data and event information of a distribution network in this embodiment includes the following steps:
s1: and acquiring distribution network real-time data and distribution network event information in a distribution network system. The distribution network system comprises a plurality of components; the specific method for acquiring the data and the event information in the distribution network system is to collect the data and the event information in the distribution network system through various monitoring recording equipment and monitoring tools and store the data and the event information in a corresponding data center or database. The assembly comprises a distribution network terminal, communication equipment and a distribution network master station.
S2: preprocessing data and event information: and setting a type library. The type library comprises data types and characteristic data associated with the data types, the real-time data and event information of the distribution network are classified according to the data types, the real-time data and the event information of the distribution network obtained in the step S1 are preprocessed by adopting a rapid search algorithm, the characteristic data of the real-time data and the event information of the distribution network are extracted, and the characteristic data and corresponding components are mapped according to preset rules. The fast search algorithm is a Hashing algorithm. The preset rules are rules specified by a user or rules set according to the standards of the electric power industry. The feature data can be used for finding out the failure reason of the distribution network through statistical analysis and evaluation.
S3: establishing a distribution network real-time data and event information mapping model: establishing a mapping model of real-time data and event information of the distribution network according to the mapping of the characteristic data and the corresponding components; the mapping model is used for analyzing the real-time data and the event information of the distribution network to obtain a statistical analysis report;
s4: the data and event information in the distribution network system are monitored in real time, and are fed back to the mapping model in real time;
s5: and managing and processing the data and the event information through analysis of the mapping model: and analyzing the data and the event information through a mapping model, and realizing the management and the processing of the data and the event information in the distribution network system. The specific method for constructing the mapping model comprises the following steps: setting a characteristic tag for each real-time data, configuring key information of event information, establishing a mapping relation library, storing association relation between real-time data of a distribution network and the event information, setting the characteristic tag for the acquired real-time data, searching a corresponding real-time data type after acquiring the event information, establishing a connection, and finally generating a statistical analysis report of the monitoring data of the distribution network and the event information.
While the invention has been described in detail in the foregoing general description and with reference to specific embodiments thereof, it will be apparent to one skilled in the art that modifications and improvements can be made thereto. Accordingly, such modifications or improvements may be made without departing from the spirit of the invention and are intended to be within the scope of the invention as claimed.
Claims (7)
1. The method for mapping the real-time data and the event information of the distribution network is characterized by comprising the following steps of:
s1: acquiring distribution network real-time data and distribution network event information in a distribution network system; the distribution network system comprises a plurality of components;
s2: preprocessing data and event information: setting a type library; the type library comprises data types and characteristic data associated with the data types, the real-time data and event information of the distribution network are classified according to the data types, the real-time data and the event information of the distribution network obtained in the step S1 are preprocessed by adopting a rapid search algorithm, the characteristic data of the real-time data and the event information of the distribution network are extracted, and the characteristic data and corresponding components are mapped according to preset rules;
s3: establishing a distribution network real-time data and event information mapping model: establishing a mapping model of real-time data and event information of the distribution network according to the mapping of the characteristic data and the corresponding components; the mapping model is used for analyzing the real-time data and the event information of the distribution network to obtain a statistical analysis report;
s4: the data and event information in the distribution network system are monitored in real time, and are fed back to the mapping model in real time;
s5: and managing and processing the data and the event information through analysis of the mapping model: and analyzing the data and the event information through a mapping model, and realizing the management and the processing of the data and the event information in the distribution network system.
2. The method for mapping real-time data and event information of distribution network according to claim 1, wherein in step S1, the specific method for obtaining the data and event information in the distribution network system is to collect the data and event information in the distribution network system through various monitoring recording devices and monitoring tools, and store the data and event information in corresponding data centers or databases.
3. The method for mapping real-time data and event information of a distribution network according to claim 1, wherein the fast search algorithm is a Hashing algorithm.
4. The method for mapping real-time data and event information of a distribution network according to claim 1, wherein the preset rule is a rule specified by a user or a rule set according to a power industry standard.
5. The method for mapping real-time data and event information of a distribution network according to claim 1, wherein the characteristic data is capable of finding out a failure cause of the distribution network through statistical analysis and evaluation.
6. The method for mapping real-time data and event information of a distribution network according to claim 1, wherein the components comprise a distribution network terminal, a communication device and a distribution network master station.
7. The method for mapping real-time data and event information of a distribution network according to claim 1, wherein the specific method for constructing the mapping model is as follows: setting a characteristic tag for each real-time data, configuring key information of event information, establishing a mapping relation library, storing association relation between real-time data of a distribution network and the event information, setting the characteristic tag for the acquired real-time data, searching a corresponding real-time data type after acquiring the event information, establishing a connection, and finally generating a statistical analysis report of the monitoring data of the distribution network and the event information.
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