CN112988740A - Power distribution network data storage method based on multiple data sources - Google Patents

Power distribution network data storage method based on multiple data sources Download PDF

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CN112988740A
CN112988740A CN202011360790.6A CN202011360790A CN112988740A CN 112988740 A CN112988740 A CN 112988740A CN 202011360790 A CN202011360790 A CN 202011360790A CN 112988740 A CN112988740 A CN 112988740A
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data
equipment
public key
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pka
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CN112988740B (en
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沈桂城
钟盛
柯政亭
杨帆
陈刚
郑榕
李宽宏
江云辉
方毅
许鑫
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Electric Power Research Institute of State Grid Fujian Electric Power Co Ltd
State Grid Fujian Electric Power Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23Updating
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems
    • G06F16/254Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
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    • G06F21/602Providing cryptographic facilities or services

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Abstract

The invention relates to a power distribution network data storage method based on multiple data sources, which is based on multiple data sources and realizes the storage function of the multiple data sources through data acquisition, analysis, storage, encryption and iteration. The method comprises the steps of acquiring data based on a plurality of data sources, analyzing various types of data respectively, storing various types of data in a unified format, encrypting the data by applying an encryption algorithm, and finally iterating updated data. The whole set of service accurately, efficiently and safely completes the storage of the data of multiple data sources.

Description

Power distribution network data storage method based on multiple data sources
Technical Field
The invention relates to the field of geographic information systems, in particular to a power distribution network data storage method based on multiple data sources.
Background
At present, most of power systems acquire and store data based on multiple data sources, corresponding data are acquired through different inlets respectively, unified data processing services and unified data storage formats are not provided, the acquired data are directly stored in a database, the data stored in the database are scattered and not concentrated, the data in the database are stored in a plaintext form, data structures and contents are easy to expose, and the safety factor is low.
Disclosure of Invention
In view of the above, the present invention provides a power distribution network data storage method based on multiple data sources, which solves the problem of data compatibility caused by inconsistency of data entries, formats, structures, and the like of multiple data sources when data of a power distribution network is collected, recorded, and stored.
The invention is realized by adopting the following scheme: a power distribution network data storage method based on a plurality of data sources comprises the following steps:
step S1: and (3) data acquisition: the method comprises the steps that multiple data source data acquisition is realized by butting multiple data source interfaces, namely, the interfaces can bind multiple hardware terminals and are used for acquiring data of monitoring equipment; the interface follows a W3C Web Service architecture, and realizes the sharing of data source data through a publishing-discovering-accessing mechanism of data acquisition Service; the data acquisition service is described by using a WSDL language and is used for acquiring data of multiple data sources;
step S2: and (3) carrying out data analysis of multiple data sources: defining different analysis rules according to different data formats and meanings, and carrying out internal format analysis on the read data;
step S3: unifying the storage data formats: storing the data into a model storage format based on SG-CIM after the data are analyzed; the formal description of CIM is realized by XML, and the character coding adopts UTF-8 format; the document data realized based on the CIM model consists of a file header and a main body in a root element; the power grid equipment resources and the topological elements adopt a parallel structure according to the equipment types and are defined in a CIM data container label; the logic structure and the hierarchical relation among all elements are realized by the reference attribute of the elements;
step S4: carrying out safe encrypted storage on the data;
step S5: and performing data iterative updating.
Further, the different parsing rules in step S2 are specifically:
analyzing a rule I: if the device attribute is the equipment attribute, reading a value corresponding to the equipment attribute from the data source;
and (5) resolving a rule II: if the device topology is adopted, the terminal numbers and the connection points corresponding to the multiple terminals of the device need to be read from the data source during analysis, and the terminal numbers of the connection points corresponding to other devices are analyzed; after the data are analyzed, the meaning of the corresponding data is analyzed according to the DataType field definition content definition.
Further, the step S4 specifically includes the following steps:
step S41: generating a pair of RSA secret keys SKa and a public key PKa by using an RSA algorithm library provided by an open source library;
step S42: generating a public key ciphertext AES (PKa) by the public key PKa through an AES encryption algorithm;
step S43: writing a public key ciphertext AES (PKa) into a database by the write script;
step S44: the public key cryptograph AES (PKa) in the data encryption service reading database is restored through the corresponding AES decryption algorithm in the step S42 to obtain a public key PKa;
step S45: the data is encrypted and stored by the public key PKa using the RSA encryption algorithm.
Further, the specific content of step S5 is: when data is updated, the obtained new data is subjected to iterative updating by an iterative technique, the integrity of the original data is ensured, and the new data and the original data are still a whole data block after replacement;
the iteration technology specifically comprises the following steps: when updating data each time, the updating service takes out the encrypted data block of the corresponding large feeder line or the corresponding station area from the database, carries out RSA decryption, carries out attribute updating according to the unique identifier of the equipment needing to be modified, adds the corresponding data block into the equipment needing to be newly added according to the large feeder line or the station area, and deletes the corresponding equipment after finding the corresponding data block according to the large feeder line or the station area; and after the updating is finished, encrypting the operated data block again and storing the data block into a corresponding position.
Compared with the prior art, the invention has the following beneficial effects:
(1) because the real-time data of the acquisition and recording are updated frequently, iteration problems exist during data storage; there are security issues when storing data. The invention can realize the data access of the data interface compatible with multiple data sources and hardware, realize the data iteration technology to support real-time data updating, realize the unified encrypted storage of data, and efficiently, compatibly and safely realize the storage of the data of the power distribution network.
(2) Data acquisition and recording and iteration of multiple data sources: in the data collecting and recording process based on multiple data sources, due to the fact that data entries, formats and the like of the multiple data sources are different, if manual recording is used, the working efficiency is low, and errors are prone to occurring. By adopting the invention, the data of various data sources are compatible through multi-inlet access, and the data are collected and recorded and then integrated into a unified data block for storage, so that the data access accuracy is improved, and the data access efficiency is improved. When data source data is updated, iterative management of data is the key to data accuracy. By the method and the device, iteration is performed after data integration, and the working efficiency and the data accuracy are improved.
(3) Data storage security: and realizing data encryption storage. The data in the traditional data storage mode is exposed outside and is easy to steal or steal, and the security is low.
Drawings
FIG. 1 is a simplified diagram of a WSDL document structure according to an embodiment of the present invention.
FIG. 2 is a diagram of a data shelf storage according to an embodiment of the present invention.
Fig. 3 is an architecture diagram of an embodiment of the present invention.
FIG. 4 is a flow chart of an embodiment of the present invention.
Detailed Description
The invention is further explained below with reference to the drawings and the embodiments.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
As shown in fig. 4, the present embodiment provides a power distribution network data receiving method based on multiple data sources, including the following steps:
step S1: and (3) data acquisition: the method comprises the steps that multiple data source data acquisition is realized by butting multiple data source interfaces, namely, the interfaces can bind multiple hardware terminals and are used for acquiring data of monitoring equipment; the interface follows a W3C Web Service architecture, and realizes the sharing of data source data through a publishing-discovering-accessing mechanism of data acquisition Service; the data acquisition service is described by using a WSDL language and is used for acquiring data of multiple data sources; according to the WSDL specification, WSDL can describe three basic attributes of Web services: as shown in figure 1 of the drawings, in which,
(1) what a service does-an operation provided by a service, an operation can be understood as a function, a method, one service includes a plurality of operations;
(2) how to access a service-the data format and necessary protocols to interact with the service;
(3) where the service is located-a protocol-dependent address, such as a URL.
The service calling specification is mainly used for specifying service operation levels, input parameters of operation, return parameter formats and the like.
The interface can bind a plurality of hardware terminals and is used for acquiring data of the monitoring equipment, and the interface is acquired through a data format defined below.
Figure 879025DEST_PATH_IMAGE001
Figure DEST_PATH_IMAGE002
Note: message header description
RequestQueueName-the message of requesting the message queue name and storing the unique ID name of the device
ResponseQueueName-response message queue name, message storing unique identification name of equipment
MessageId-message ID number, consisting of the MAC address of the machine + time TICK, Net is specifically encoded as: string messageID = utility.getmacaddress () + datetime.now.times.toshriks.toshring ();
message body description:
mRID-device GlobeID
SubGeogaphic region- -region scope
StartTime Start time
EndTime- -end time
DataType-request data type: IA-A phase current, IB-B phase current, IC-C phase current, UA-A phase voltage, UB-B phase voltage, UC-C phase voltage, P-active and Q-inactive phase
ValueType- -numerical type: 0-sample value, 1-statistic value < is the average value >
Description-device name
DateTime- -message sending time
Step S2: and (3) carrying out data analysis of multiple data sources: defining different analysis rules according to different data formats and meanings, and carrying out internal format analysis on the read data; (see table 1 below);
step S3: defining a uniform data format, and forming the analyzed data into the uniform data format. As shown in fig. 2, the storage data format is unified: storing the data into a model storage format based on SG-CIM after the data are analyzed; the formal description of CIM is realized by XML, and the character coding adopts UTF-8 format; the document data realized based on the CIM model consists of a file header and a main body in a root element; the power grid equipment resources and the topological elements adopt a parallel structure according to the equipment types and are defined in a CIM data container label; the logic structure and the hierarchical relation among all elements are realized by the reference attribute of the elements;
step S4: carrying out safe encrypted storage on the data;
step S5: and performing data iterative updating.
Figure 601692DEST_PATH_IMAGE003
In this embodiment, the different parsing rules in step S2 specifically include:
analyzing a rule I: if the device attribute is the equipment attribute, reading a value corresponding to the equipment attribute from the data source;
for example, when analyzing current data, the corresponding values of the corresponding fields are respectively analyzed according to the ABC three currents.
And (5) resolving a rule II: if the device topology is adopted, the terminal numbers and the connection points corresponding to the multiple terminals of the device need to be read from the data source during analysis, and the terminal numbers of the connection points corresponding to other devices are analyzed; after the data are analyzed, the meaning of the corresponding data is analyzed according to the DataType field definition content definition.
In this embodiment, the step S4 specifically includes the following steps:
step S41: generating a pair of RSA secret keys SKa and a public key PKa by using an RSA algorithm library provided by an open source library;
(asymmetric cipher is used, secret key cipher is only available in the developer, and is safer)
Step S42: generating a public key ciphertext AES (PKa) by the public key PKa through an AES encryption algorithm; (double encryption, safer)
Step S43: writing a public key ciphertext AES (PKa) into a database by the write script;
Figure DEST_PATH_IMAGE004
step S44: the public key cryptograph AES (PKa) in the data encryption service reading database is restored through the corresponding AES decryption algorithm in the step S42 to obtain a public key PKa;
step S45: the data is encrypted and stored by the public key PKa using the RSA encryption algorithm.
In this embodiment, the specific content of step S5 is: when data is updated, the obtained new data is subjected to iterative updating by an iterative technique, the integrity of the original data is ensured, and the new data and the original data are still a whole data block after replacement;
the iteration technology specifically comprises the following steps: when updating data each time, the updating service takes out the encrypted data block of the corresponding large feeder line or the corresponding station area from the database for decryption, the attribute of the equipment to be modified is updated according to the unique identifier of the equipment, the equipment to be newly added is added with the corresponding data block according to the large feeder line or the corresponding station area, and the equipment to be deleted deletes the corresponding equipment after finding the corresponding data block according to the large feeder line or the corresponding station area; and after the updating is finished, the operated data block is subjected to RSA encryption again and stored in the corresponding position.
Preferably, the present embodiment is based on multiple data sources, and the multiple data sources are accommodated through data acquisition, analysis, storage, encryption, and iteration. The method comprises the steps of acquiring data based on a plurality of data sources, analyzing various types of data respectively, storing various types of data in a unified format, encrypting the data by applying an encryption algorithm, and finally iterating updated data. The whole set of service accurately, efficiently and safely completes the storage of the data of multiple data sources.
Preferably, the specific application scenarios of the embodiment are as follows: the types of power distribution equipment are various, and the specifications and the models of various equipment are different. For the data acquisition and recording of the power distribution equipment, in order to meet the applicability of the data acquisition and recording of the equipment and ensure the accuracy of the data acquisition and recording, the technical service provided by the embodiment can meet the access of various types of data source data and the diversity of data sources. Fusion processing is carried out on various types of data, compatibility of the data is guaranteed, and meanwhile accuracy of the data is guaranteed. After the data integration is completed, the data block is stored locally in a ciphertext mode, and the data security is guaranteed. When the data source obtains the data which is correspondingly updated, the data block is updated in a data iteration mode, and the real-time performance of the data is guaranteed.
When the data entry of low voltage distribution network during operation, data that the adoption was back through terminal hardware is through using APP software to enter the database, at the input in-process, because equipment kind is many, terminal hardware model is many, during the data collection, can realize many data source data entry through this patent technique, enter the data after the analysis, unified processing is handled, integrates into a data block, stores to the database after the encryption.
Preferably, in this embodiment, (1) the data mining and iteration of multiple data sources: in the data collecting and recording process based on multiple data sources, due to the fact that data entries, formats and the like of the multiple data sources are different, if manual recording is used, the working efficiency is low, and errors are prone to occurring. After this scheme of adoption, connect the data of compatible multiple data source through the multiple entry, integrate into unified data piece storage after adopting the recording data, improved the data access rate of accuracy, promoted data access efficiency. When data source data is updated, iterative management of data is the key to data accuracy. By the scheme, iteration is performed after data integration, and the working efficiency and the data accuracy are improved.
(2) Data storage security: and realizing data encryption storage. The data in the traditional data storage mode is exposed outside and is easy to steal or steal, the safety is low, and the data storage safety problem can be effectively solved by the data encryption block storage mode designed by the scheme.
The above description is only a preferred embodiment of the present invention, and all equivalent changes and modifications made in accordance with the claims of the present invention should be covered by the present invention.

Claims (4)

1. A power distribution network data storage method based on a plurality of data sources is characterized in that: the method comprises the following steps:
step S1: and (3) data acquisition: the method comprises the steps that multiple data source data acquisition is realized by butting multiple data source interfaces, namely, the interfaces can bind multiple hardware terminals and are used for acquiring data of monitoring equipment; the interface follows a W3C Web Service architecture, and realizes the sharing of data source data through a publishing-discovering-accessing mechanism of data acquisition Service; the data acquisition service is described by using a WSDL language and is used for acquiring data of multiple data sources;
step S2: and (3) carrying out data analysis of multiple data sources: defining different analysis rules according to different data formats and meanings, and carrying out internal format analysis on the read data;
step S3: unifying the storage data formats: storing the data into a model storage format based on SG-CIM after the data are analyzed; the formal description of CIM is realized by XML, and the character coding adopts UTF-8 format; the document data realized based on the CIM model consists of a file header and a main body in a root element; the power grid equipment resources and the topological elements adopt a parallel structure according to the equipment types and are defined in a CIM data container label; the logic structure and the hierarchical relation among all elements are realized by the reference attribute of the elements;
step S4: carrying out safe encrypted storage on the data;
step S5: and performing data iterative updating.
2. The method for receiving the data of the power distribution network based on the plurality of data sources as claimed in claim 1, wherein: the different parsing rules in step S2 are specifically:
analyzing a rule I: if the device attribute is the equipment attribute, reading a value corresponding to the equipment attribute from the data source;
and (5) resolving a rule II: if the device topology is adopted, the terminal numbers and the connection points corresponding to the multiple terminals of the device need to be read and analyzed from the data source during analysis, and the terminal numbers of the connection points corresponding to other devices are analyzed; after the data are analyzed, the meaning of the corresponding data is analyzed according to the DataType field definition content definition.
3. The method for receiving the data of the power distribution network based on the plurality of data sources as claimed in claim 1, wherein: the step S4 specifically includes the following steps:
step S41: generating a pair of RSA secret keys SKa and a public key PKa by using an RSA algorithm library provided by an open source library;
step S42: generating a public key ciphertext AES (PKa) by the public key PKa through an AES encryption algorithm;
step S43: writing a public key ciphertext AES (PKa) into a database by the write script;
step S44: the public key cryptograph AES (PKa) in the data encryption service reading database is restored through the corresponding AES decryption algorithm in the step S42 to obtain a public key PKa;
step S45: the data is encrypted and stored by the public key PKa using the RSA encryption algorithm.
4. The method for receiving the data of the power distribution network based on the plurality of data sources as claimed in claim 1, wherein: the specific content of step S5 is: when data is updated, the obtained new data is subjected to iterative updating by an iterative technique, the integrity of the original data is ensured, and the new data and the original data are still a whole data block after replacement;
the iteration technology specifically comprises the following steps: when updating data each time, the updating service takes out the encrypted data block of the corresponding large feeder line or the corresponding station area from the database, carries out RSA decryption, carries out attribute updating according to the unique identifier of the equipment needing to be modified, adds the corresponding data block into the equipment needing to be newly added according to the large feeder line or the station area, and deletes the corresponding equipment after finding the corresponding data block according to the large feeder line or the station area; and after the updating is finished, the operated data block is subjected to RSA encryption again and stored in the corresponding position.
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