CN110347756A - The method and apparatus of secondary device storage processing - Google Patents

Abstract

This application discloses a kind of method and apparatus of secondary device storage processing.This method comprises: being classified to obtain different types of secondary device to the secondary device in substation；Model foundation is carried out to each type of secondary device, wherein the corresponding model of each type includes at least: indicating the part of the part of the network information of the type secondary device, the hardware configuration for indicating the type secondary device；According to established model creation data-storage system, wherein the data-storage system is used to save the data of the secondary device in the substation.By the application, solving enterprise-level relevant database in the related technology has that memory capacity is small, scalability is poor when storing secondary device data.

Description

Method and device for storage processing of secondary equipment

technical field

The present application relates to the field of intelligent substation equipment monitoring in power systems, and in particular, to a method, processor and storage medium for storage and processing of secondary equipment.

Background technique

The secondary equipment of the substation is an important equipment for monitoring and controlling the system, and its own health status is directly related to the security and stability of the power grid. Therefore, it is necessary to evaluate the status of the secondary equipment of the substation, find equipment defects in time, and reduce accident losses, such as manual evaluation according to the relay protection evaluation guidelines and other specifications.

At present, the data analysis and research work for the secondary equipment of the power grid includes: using the Markov method to analyze the reliability of the relay protection equipment; using the probability method to establish a probabilistic model analysis of the relay protection device; The reliability of the communication system is evaluated; the state evaluation of the microcomputer protection device based on the support vector machine; the state evaluation of the secondary equipment based on the Bayesian network, etc.

The above research work is carried out by selecting a certain machine learning algorithm and using a small amount of data and information in a single machine environment. However, with the deepening of smart grid construction in recent years, the breadth and depth of equipment monitoring has been continuously strengthened, and various data such as PMS, OMS, monitoring, and defect records of secondary equipment in smart substations have been accumulated, gradually forming a secondary feature of the panorama. Device big data.

At present, secondary equipment data is mainly stored in enterprise-level relational databases. Enterprise-level relational databases have the problems of small storage capacity and poor scalability when storing secondary device data. With the surge of accumulated data over time, it is difficult for relational databases to continuously meet storage and high availability support without stopping services. . Some studies have alleviated the problem of system expansion to a certain extent by splitting the data vertically and assigning different themes to different databases. However, the current situation is that even the data of the same theme cannot be stored in a single database. Therefore, the horizontal expansion problem of the system cannot be solved.

Aiming at the problems of small storage capacity and poor scalability when storing secondary device data in the enterprise-level relational database in the related art, no effective solution has been proposed yet.

SUMMARY OF THE INVENTION

The present application provides a method and device for secondary device storage processing, so as to solve the problems of small storage capacity and poor scalability when enterprise-level relational databases store secondary device data in the related art.

According to one aspect of the present application, a method for storage processing of a secondary device is provided. The method includes: classifying secondary equipment in a substation to obtain different types of secondary equipment; building a model for each type of secondary equipment, wherein the model corresponding to each type at least includes: representing the type two The part of the network information of the secondary equipment, the part representing the hardware structure of the secondary equipment of this type; the data storage system is created according to the established model, wherein the data storage system is used to save the data of the secondary equipment in the substation .

Optionally, the type of the secondary equipment includes at least one of the following: relay protection equipment, automation equipment, computer equipment, and power supply equipment.

Optionally, establishing a model for each type of secondary equipment includes: establishing a first data structure that stores the overall attributes of the secondary equipment in the model; establishing and storing the secondary equipment in the model. The second data structure of the module attribute of each module of A third data structure for network information.

Optionally, the information stored using the first data structure and the second data structure includes at least one of the following: ledger, operation, defect, structural feature, operating environment, and associated equipment.

Optionally, the network information includes network topology information.

Optionally, the information stored using the third data structure of the network topology information includes at least one of the following: power supply information, communication link information, communication interface information, and alignment information.

Optionally, the created data storage system includes multi-level partitions, wherein the multi-level partitions are created according to the state evaluation of the secondary device.

Optionally, the multi-level partition includes a three-level partition, wherein the first-level partition in the three-level partition is created according to the state evaluation time, and the second-level partition in the three-level partition is created according to the two-level partition. The identification information of the substation corresponding to the first-level equipment is created, and the third-level partition is created according to the identification information of the second-level equipment.

According to another aspect of the present application, an apparatus for storing and processing a secondary device is provided. The device includes: a classification unit for classifying secondary equipment in a substation to obtain different types of secondary equipment; a modeling unit for establishing a model for each type of secondary equipment, wherein each type of secondary equipment is The model corresponding to the type at least includes: a part representing the network information of the type of secondary device, a part representing the hardware structure of the type of secondary device; a creation unit for creating a data storage system according to the established model, wherein the said The data storage system is used to save the data of the secondary equipment in the substation.

Optionally, the type of the secondary equipment includes at least one of the following: relay protection equipment, automation equipment, computer equipment, and power supply equipment.

Optionally, the modeling unit includes: a first establishment module for establishing a first data structure for storing the overall attributes of the secondary device in the model; a second establishment module for establishing in the model Establish a second data structure that stores the module attributes of each module of the secondary device, wherein the module is a software part and/or hardware part that runs a predetermined function in the secondary device; the third establishes a module, A third data structure for storing network information of the secondary device is established in the model.

Optionally, the information stored using the first data structure and the second data structure includes at least one of the following: ledger, operation, defect, structural feature, operating environment, and associated equipment.

Optionally, the network information includes network topology information.

Optionally, the information stored using the third data structure of the network topology information includes at least one of the following: power supply information, communication link information, communication interface information, and alignment information.

Optionally, the created data storage system includes multi-level partitions, wherein the multi-level partitions are created according to the state evaluation of the secondary device.

Optionally, the multi-level partition includes a three-level partition, wherein the first-level partition in the three-level partition is created according to the state evaluation time, and the second-level partition in the three-level partition is created according to the two-level partition. The identification information of the substation corresponding to the first-level equipment is created, and the third-level partition is created according to the identification information of the second-level equipment.

In the method for storing and processing secondary equipment provided in the embodiment of the present application, different types of secondary equipment are obtained by classifying secondary equipment in a substation; a model is established for each type of secondary equipment, wherein each type of secondary equipment is The model corresponding to the type at least includes: a part representing the network information of the secondary device of this type, and a part representing the hardware structure of the secondary device of the type; a data storage system is created according to the established model, wherein the data storage system is used for Saving the data of the secondary equipment in the substation solves the problems of small storage capacity and poor expansibility when the enterprise-level relational database in the related art stores the secondary equipment data.

That is, in the method for storing and processing secondary equipment provided by the embodiments of the present application, by clarifying the structural features and communication interfaces of the secondary equipment in the smart substation, correlation modeling is performed on the secondary equipment in the smart substation, and then based on the correlation The model creates a storage system for distributed and partitioned secondary equipment data. Specifically, for the large-scale secondary equipment contained in the smart substation group, a three-level partition is created according to the date, substation and secondary equipment, so as to store the data of the secondary equipment. Partitioned storage. At this time, the established storage system has high scalability and does not need to consider the technical problem of storage capacity.

It should also be noted that: the above-established storage system can also implement rapid analysis supporting large-volume secondary equipment data.

Description of drawings

The accompanying drawings constituting a part of the present application are used to provide further understanding of the present application, and the schematic embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation of the present application. In the attached image:

1 is a flowchart of a method for storing a secondary device provided according to an embodiment of the present application;

2 is a schematic diagram of an optional model in a method for storing and processing a secondary device provided according to an embodiment of the present application;

3 is a schematic diagram of an optional multi-level partition in a method for storage processing of a secondary device provided according to an embodiment of the present application;

FIG. 4 is a flowchart of a method for storage processing of a secondary device provided according to an embodiment of the present application.

Detailed ways

It should be noted that the embodiments in the present application and the features of the embodiments may be combined with each other in the case of no conflict. The present application will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

In order to make those skilled in the art better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only The embodiments are part of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the scope of protection of the present application.

It should be noted that the terms "first", "second", etc. in the description and claims of the present application and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances for the embodiments of the application described herein. Furthermore, the terms "comprising" and "having" and any variations thereof, are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those expressly listed Rather, those steps or units may include other steps or units not expressly listed or inherent to these processes, methods, products or devices.

According to an embodiment of the present application, a method for storage processing of a secondary device is provided.

FIG. 1 is a flowchart of a method for storage processing of a secondary device according to an embodiment of the present application. As shown in Figure 1, the method includes the following steps:

Step S102, classify the secondary equipment in the substation to obtain different types of secondary equipment.

In step S104, a model is established for each type of secondary device, wherein the model corresponding to each type includes at least: a part representing the network information of the type of secondary device, and a part representing the hardware structure of the type of secondary device. part.

Step S106: Create a data storage system according to the established model, wherein the data storage system is used to save the data of the secondary equipment in the substation.

In the method for storing and processing secondary equipment provided in the embodiment of the present application, different types of secondary equipment are obtained by classifying secondary equipment in a substation; a model is established for each type of secondary equipment, wherein each type of secondary equipment is The model corresponding to the type at least includes: a part representing the network information of the secondary device of this type, and a part representing the hardware structure of the secondary device of the type; a data storage system is created according to the established model, wherein the data storage system is used for Saving the data of the secondary equipment in the substation solves the problems of small storage capacity and poor expansibility when the enterprise-level relational database in the related art stores the secondary equipment data.

That is, in the method for storing and processing secondary equipment provided by the embodiments of the present application, by clarifying the structural features and communication interfaces of the secondary equipment in the smart substation, correlation modeling is performed on the secondary equipment in the smart substation, and then based on the correlation The model creates a storage system for distributed and partitioned secondary equipment data. Specifically, for the large-scale secondary equipment contained in the smart substation group, a three-level partition is created according to the date, substation and secondary equipment, so as to store the data of the secondary equipment. Partitioned storage. At this time, the established storage system has high scalability and does not need to consider the technical problem of storage capacity.

It should also be noted that: the above-established storage system can also implement rapid analysis supporting large-volume secondary equipment data.

Optionally, in the method for storing and processing a secondary device provided in an embodiment of the present application, the type of the secondary device includes at least one of the following: relay protection equipment, automation equipment, computer equipment, and power supply equipment. .

Optionally, in the method for storing and processing a secondary device provided in the embodiment of the present application, establishing a model for each type of secondary device includes: establishing a third storage device that stores the overall attributes of the secondary device in the model. A data structure; establishing a second data structure in the model to store the module attributes of each module of the secondary device, wherein the module is a software part and/or a software part running a predetermined function in the secondary device The hardware part; establishing a third data structure in the model for storing the network information of the secondary device.

It should be noted that the first data structure of the secondary device, the second data structure of the secondary device and the third data structure of the secondary device built in the above model all correspond to the secondary device, that is, as shown in FIG. 2 . It is shown that the model of the specified type contains at least one secondary device, and the at least one secondary device included in the model is divided according to the physical structure of the secondary device, and each secondary device has a first A data structure, a second data structure, and a third data structure.

In an optional example, the information stored by using the first data structure and the second data structure includes at least one of the following: ledger, operation, defect, structural feature, operating environment, and associated equipment.

Optionally, in the method for storing and processing a secondary device provided in this embodiment of the present application, the network information includes network topology information.

In an optional example, the information stored using the third data structure of the network topology information includes at least one of the following: power supply information, communication link information, communication interface information, and alignment information.

It should be noted that: in the prior art, model A (IEC61850 model) and model B (CIM model of IEC61970) already exist to model and describe secondary equipment data. Among them, the existing A model (IEC61850 model) does not reflect the structural characteristics of the secondary equipment, hardware communication interfaces (such as the number of interfaces, location, type, interface parameters, etc.) Due to the network structure, it is difficult to clarify the transmission path of information, and it is difficult to locate the abnormal position when the link is abnormal. The existing B model (CIM model of IEC61970) has very simple objects for secondary system equipment, so the information is not comprehensive enough.

In the method for storing and processing secondary equipment provided in the embodiment of the present application, first, the secondary equipment is classified according to different professional types, and is divided into relay protection equipment, computer equipment, automation equipment, power equipment, etc. , and model different types of equipment respectively; secondly, different types of secondary equipment are divided according to their physical structures, and the secondary equipment with different physical structures are modeled respectively; thirdly, the overall and secondary equipment of the secondary equipment Each sub-module in the equipment is modeled according to the account, operation, defects, structural characteristics, operating environment, and associated equipment, wherein the overall attributes include account, operation, defects, structural characteristics, operating environment, associated equipment, and software attributes. ; Each sub-module includes account, operation, defects, and structural features; finally, the schematic diagram of the model shown in Figure 2 is obtained.

It should be noted that the above-mentioned structural features may include: spatial coordinates, external shapes, and internal structures.

Optionally, in the method for storage processing of a secondary device provided in this embodiment of the present application, the created data storage system includes a multi-level partition, wherein the multi-level partition is evaluated according to the state of the secondary device. created. That is, multi-level partitions are constructed according to the basic unit and operation granularity of the state evaluation operation of the secondary equipment.

Optionally, in the method for secondary device storage processing provided by the embodiment of the present application, an HDFS multi-level directory is used as the multi-level partition. That is, HDFS (Hadoop Distribute File System) is selected as the storage medium of secondary device data for distributed storage.

In an optional example, the multi-level partitions include three-level partitions, wherein the first-level partitions in the three-level partitions are created according to the state evaluation time, and the second-level partitions in the three-level partitions are created according to the state evaluation time. is created according to the identification information of the substation corresponding to the secondary equipment, and the third-level partition is created according to the identification information of the secondary equipment.

It should be noted that: as shown in Figure 3, when evaluating the secondary equipment, the first choice is the time of the evaluation. Therefore, the date (yyyy-mm-dd) is used as the attribute of the primary partition; after that, it is necessary to select the second The substation to which the secondary equipment belongs, therefore, the ID of the substation (unique in the system, no repetition) is used as the secondary partition attribute; finally, the basic unit when performing the secondary equipment status evaluation is a single equipment, therefore, the identification of the equipment is selected character as a three-level partition attribute.

Optionally, in the method for secondary device storage processing provided by the embodiment of the present application, the method for secondary device storage processing further includes: by generating a Jason expression method of a storage system that supports multi-level partitions, to store multi-level partitions. Correspondence between partitions and HDFS directories.

In an optional example, in the case that the above-mentioned storage system matches the third-level partition, the corresponding relationship between the third-level partition and the HDFS directory can be described as: the first and second-level partitions contain three attributes: name, location, and childpartition, The meanings are: partition name, HDFS path, and sub-partition array; the third-level partition is the last-level partition, which only contains name and location attributes, but does not contain sub-partition array information. Among them, the three-level partition constitutes a nested relationship and expresses a multi-level partition relationship.

The meaning expressed in the following example is: there is one first-level partition named "1_partition", which contains two second-level partitions named "1.1_partition" and "1.2_partition"; these two second-level partitions have their own Contains two tertiary partitions named "1.1.1_partition", "1.1.2_partition", "1.2.1_partition" and "1.2.1_partition".

{

"name":"1_partition",

"location": "HDFS_PATH_1",

"childpartitions":[

{"name":"1.1_partition",

"location": "HDFS_PATH_1.1",

"childpartitions":[

{"name":"1.1.1_partition",

"location": "HDFS_PATH_1.1.1"}

{"name":"1.1.2_partition",

"location": "HDFS_PATH_1.1.2"}

]

}

{"name":"1.2_partition",

"location": "HDFS_PATH_1.2",

"childpartitions":[

{"name":"1.2.1_partition",

"location": "HDFS_PATH_1.2.1"}

{"name":"1.2.2_partition",

"location": "HDFS_PATH_1.2.2"}

]

}

]

}

To sum up, the method for storing and processing secondary equipment provided by the embodiments of the present application is mainly used for modeling and storing large quantities of secondary equipment data in a smart substation. Specifically, the secondary equipment data is modeled and described, and the modeling method is designed; and according to the associated model of the design, the physical model design of the secondary equipment data is designed based on the distributed computer cluster, and a multi-level partition method is proposed to store the secondary equipment data. Secondary equipment data to support rapid analysis of large batches of secondary equipment data.

In addition, the storage processing method for a secondary device provided by the embodiment of the present application may also be applied to a cloud platform for deployment and implementation.

In addition, the method for secondary device storage processing provided by the embodiment of the present application is based on partitioned storage, and performs parallelized missing value filling data processing, so that the processing performance is significantly better than serial processing in a stand-alone environment.

It should be noted that the steps shown in the flowcharts of the accompanying drawings may be executed in a computer system, such as a set of computer-executable instructions, and, although a logical sequence is shown in the flowcharts, in some cases, Steps shown or described may be performed in an order different from that herein.

This embodiment of the present application further provides an apparatus for storing and processing a secondary device. It should be noted that the apparatus for storing and processing a secondary device in this embodiment of the present application may be used to execute the apparatus for storing and processing a secondary device provided by the embodiment of the present application. The method of storage processing. The apparatus for storage processing of the secondary device provided by the embodiment of the present application will be introduced below.

FIG. 4 is a schematic diagram of an apparatus for storage processing of a secondary device according to an embodiment of the present application. As shown in FIG. 4 , the apparatus includes: a classification unit 41 , a modeling unit 43 and a creation unit 45 .

The classification unit 41 is used to classify the secondary equipment in the substation to obtain different types of secondary equipment;

The modeling unit 43 is configured to build a model for each type of secondary device, wherein the model corresponding to each type at least includes: a part representing the network information of the type of secondary device, a part representing the type of secondary device part of the hardware structure;

The creating unit 45 is configured to create a data storage system according to the established model, wherein the data storage system is configured to save the data of the secondary equipment in the substation.

Optionally, the type of the secondary equipment includes at least one of the following: relay protection equipment, automation equipment, computer equipment, and power supply equipment.

Optionally, the modeling unit 43 includes: a first establishment module for establishing a first data structure in the model for storing the overall attributes of the secondary device; a second establishment module for establishing in the model A second data structure for storing the module attributes of each module of the secondary device is established in the model, wherein the module is a software part and/or a hardware part that runs a predetermined function in the secondary device; the third establishment module , which is used to establish a third data structure for storing the network information of the secondary device in the model.

Optionally, the information stored using the first data structure and the second data structure includes at least one of the following: ledger, operation, defect, structural feature, operating environment, and associated equipment.

Optionally, the network information includes network topology information.

Optionally, the information stored using the third data structure of the network topology information includes at least one of the following: power supply information, communication link information, communication interface information, and alignment information.

Optionally, the created data storage system includes multi-level partitions, wherein the multi-level partitions are created according to the state evaluation of the secondary device.

Optionally, the multi-level partition includes a three-level partition, wherein the first-level partition in the three-level partition is created according to the state evaluation time, and the second-level partition in the three-level partition is created according to the two-level partition. The identification information of the substation corresponding to the first-level equipment is created, and the third-level partition is created according to the identification information of the second-level equipment.

In the apparatus for storing and processing secondary equipment provided by the embodiment of the present application, the classification unit 41 classifies the secondary equipment in the substation to obtain different types of secondary equipment; the modeling unit 43 models each type of secondary equipment Establish, wherein, the model corresponding to each type includes at least: a part representing the network information of the type of secondary device, a part representing the hardware structure of the type of secondary device; the creation unit 45 creates a data storage according to the established model The system, wherein the data storage system is used to save the data of the secondary equipment in the substation, which solves the problems of small storage capacity and poor scalability in the related art when the enterprise-level relational database stores the data of the secondary equipment .

That is, in the method for storing and processing secondary equipment provided by the embodiments of the present application, by clarifying the structural features and communication interfaces of the secondary equipment in the smart substation, correlation modeling is performed on the secondary equipment in the smart substation, and then based on the correlation The model creates a storage system for distributed and partitioned secondary equipment data. Specifically, for the large-scale secondary equipment contained in the smart substation group, a three-level partition is created according to the date, substation and secondary equipment, so as to store the data of the secondary equipment. Partitioned storage. At this time, the established storage system has high scalability and does not need to consider the technical problem of storage capacity.

It should also be noted that: the above-established storage system can also implement rapid analysis supporting large-volume secondary equipment data.

The apparatus for storing and processing the secondary device includes a processor and a memory, the above-mentioned units and the like are stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions.

The processor includes a kernel, and the kernel calls the corresponding program unit from the memory. One or more kernels can be set, and a storage system with high scalability can be established by adjusting kernel parameters without considering the technical difficulties of storage capacity.

Memory may include non-persistent memory in computer readable media, random access memory (RAM) and/or non-volatile memory, such as read only memory (ROM) or flash memory (flash RAM), the memory including at least one memory chip.

An embodiment of the present invention provides a storage medium on which a program is stored, and when the program is executed by a processor, a method for storing and processing the secondary device is implemented.

An embodiment of the present invention provides a processor for running a program, wherein the method for executing the storage processing of the secondary device is executed when the program is running.

An embodiment of the present invention provides a device. The device includes a processor, a memory, and a program stored in the memory and running on the processor. When the processor executes the program, the following steps are implemented: classifying secondary equipment in a substation to obtain Different types of secondary equipment; model establishment for each type of secondary equipment, wherein the model corresponding to each type at least includes: a part representing the network information of this type of secondary equipment, a portion representing the type of secondary equipment A part of the hardware structure of the substation; a data storage system is created according to the established model, wherein the data storage system is used to save the data of the secondary equipment in the substation.

Optionally, the type of the secondary equipment includes at least one of the following: relay protection equipment, automation equipment, computer equipment, and power supply equipment.

Optionally, establishing a model for each type of secondary equipment includes: establishing a first data structure that stores the overall attributes of the secondary equipment in the model; establishing and storing the secondary equipment in the model. The second data structure of the module attribute of each module of A third data structure for network information.

Optionally, the information stored using the first data structure and the second data structure includes at least one of the following: ledger, operation, defect, structural feature, operating environment, and associated equipment.

Optionally, the network information includes network topology information.

Optionally, the information stored using the third data structure of the network topology information includes at least one of the following: power supply information, communication link information, communication interface information, and alignment information.

Optionally, the created data storage system includes multi-level partitions, wherein the multi-level partitions are created according to the state evaluation of the secondary device.

Optionally, the multi-level partition includes a three-level partition, wherein the first-level partition in the three-level partition is created according to the state evaluation time, and the second-level partition in the three-level partition is created according to the two-level partition. The identification information of the substation corresponding to the first-level equipment is created, and the third-level partition is created according to the identification information of the second-level equipment. The devices in this article can be servers, PCs, PADs, mobile phones, and so on.

The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program initialized with the following method steps: classifying the secondary devices in the substation to obtain different types of secondary devices; Each type of secondary device is used for model establishment, wherein the model corresponding to each type includes at least: a part representing the network information of the type of secondary device, and a part representing the hardware structure of the type of secondary device; The model creates a data storage system, wherein the data storage system is used to save the data of the secondary equipment in the substation.

Optionally, the type of the secondary equipment includes at least one of the following: relay protection equipment, automation equipment, computer equipment, and power supply equipment.

Optionally, establishing a model for each type of secondary equipment includes: establishing a first data structure that stores the overall attributes of the secondary equipment in the model; establishing and storing the secondary equipment in the model. The second data structure of the module attribute of each module of A third data structure for network information.

Optionally, the information stored using the first data structure and the second data structure includes at least one of the following: ledger, operation, defect, structural feature, operating environment, and associated equipment.

Optionally, the network information includes network topology information.

Optionally, the information stored using the third data structure of the network topology information includes at least one of the following: power supply information, communication link information, communication interface information, and alignment information.

Optionally, the created data storage system includes multi-level partitions, wherein the multi-level partitions are created according to the state evaluation of the secondary device.

Optionally, the multi-level partition includes a three-level partition, wherein the first-level partition in the three-level partition is created according to the state evaluation time, and the second-level partition in the three-level partition is created according to the two-level partition. The identification information of the substation corresponding to the first-level equipment is created, and the third-level partition is created according to the identification information of the second-level equipment.

As will be appreciated by those skilled in the art, the embodiments of the present application may be provided as a method, a system, or a computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It will be understood that each process and/or block in the flowchart illustrations and/or block diagrams, and combinations of processes and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

Memory may include non-persistent memory in computer readable media, random access memory (RAM) and/or non-volatile memory in the form of, for example, read only memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media includes both persistent and non-permanent, removable and non-removable media, and storage of information may be implemented by any method or technology. Information may be computer readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), Flash Memory or other memory technology, Compact Disc Read Only Memory (CD-ROM), Digital Versatile Disc (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media, such as modulated data signals and carrier waves.

It should also be noted that the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device comprising a series of elements includes not only those elements, but also Other elements not expressly listed, or which are inherent to such a process, method, article of manufacture, or apparatus are also included. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article of manufacture or apparatus that includes the element.

It will be appreciated by those skilled in the art that the embodiments of the present application may be provided as a method, a system or a computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The above are merely examples of the present application, and are not intended to limit the present application. Various modifications and variations of this application are possible for those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included within the scope of the claims of this application.

Claims (10)

1. a kind of method of secondary device storage processing characterized by comprising

Secondary device in substation is classified to obtain different types of secondary device；

Model foundation is carried out to each type of secondary device, wherein the corresponding model of each type includes at least: indicating The part of the network information of the type secondary device, indicate the type secondary device hardware configuration part；

According to established model creation data-storage system, wherein the data-storage system is for saving the substation In secondary device data.

2. the method according to claim 1, wherein the type of the secondary device includes at least one of: Relay protection class equipment, automation class equipment, computer equipment, power supply class equipment.

3. the method according to claim 1, wherein carrying out model foundation packet to each type of secondary device It includes:

The first data structure for storing the integrity attribute of the secondary device is established in the model；

The second data structure for storing the module attribute of each module of the secondary device is established in the model, wherein The module is the software section and/or hardware components that predetermined function is run in the secondary device；

The third data structure for storing the network information of the secondary device is established in the model.

4. according to the method described in claim 3, it is characterized in that, using first data structure and the second data knot The information of structure storage includes at least one of:

Account, operation, defect, structure feature, running environment, associate device.

5. according to the method described in claim 3, it is characterized in that, the network information includes network topological information.

6. according to the method described in claim 5, it is characterized in that, the third data structure using the network topological information is deposited The information of storage includes at least one of: power information, communication link information, communication interface information, to staring at information.

7. method according to any one of claim 1 to 6, which is characterized in that create the data storage system of completion System includes multistage subregion, wherein the multistage subregion is created according to the state evaluation of the secondary device.

8. a kind of device of secondary device storage processing characterized by comprising

Taxon obtains different types of secondary device for being classified to the secondary device in substation；

Modeling unit, for carrying out model foundation to each type of secondary device, wherein the corresponding model of each type It includes at least: indicating the portion of the part of the network information of the type secondary device, the hardware configuration for indicating the type secondary device Point；

Creating unit, for according to established model creation data-storage system, wherein the data-storage system is for protecting Deposit the data of the secondary device in the substation.

9. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein described program right of execution Benefit require any one of 1 to 7 described in secondary device storage processing method.

10. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run Benefit require any one of 1 to 7 described in secondary device storage processing method.