CN114327257A - Multi-level data storage system and method in network source coordination online monitoring system - Google Patents

Multi-level data storage system and method in network source coordination online monitoring system Download PDF

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Publication number
CN114327257A
CN114327257A CN202111438571.XA CN202111438571A CN114327257A CN 114327257 A CN114327257 A CN 114327257A CN 202111438571 A CN202111438571 A CN 202111438571A CN 114327257 A CN114327257 A CN 114327257A
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data
cache region
dynamic
dynamic data
network source
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CN202111438571.XA
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陈�峰
高红亮
牟伟
周华锋
苏荣强
江伟
张孝
李金�
艾文凯
张海天
何宇斌
肖强
唐道伟
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China Southern Power Grid Co Ltd
NR Electric Co Ltd
NR Engineering Co Ltd
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China Southern Power Grid Co Ltd
NR Electric Co Ltd
NR Engineering Co Ltd
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Abstract

The invention discloses a multi-level data storage system and a method in a network source coordination on-line monitoring system, belonging to the technical field of network source coordination on-line monitoring systems, and the multi-level data storage system in the network source coordination on-line monitoring system comprises: the link communication module receives the dynamic collected data of the on-line monitoring substation equipment, analyzes the dynamic data and stores the data into the preposed data cache region; the protocol processing module is used for storing the data in the preposed data cache region into the dynamic data cache region after performing protocol processing on the data in the preposed data cache region; and the dynamic data storage module is used for storing the data in the dynamic data cache region into the time sequence database and the relation database. The invention realizes the dynamic data acquisition, storage and access with large capacity, multi-scale and high reliability, and provides stable and reliable data support for network source coordination on-line monitoring and performance evaluation.

Description

Multi-level data storage system and method in network source coordination online monitoring system
Technical Field
The invention relates to a multi-level data storage system and a multi-level data storage method in a network source coordination online monitoring system, and belongs to the technical field of network source coordination online monitoring systems.
Background
The grid source coordination online monitoring system is positioned to meet the requirements of real-time monitoring and analysis of the performance of grid-related equipment of a power grid and power plant operation and management personnel on the power generating set, and the modern communication, computer and power technology is comprehensively applied to realize online evaluation and quantitative analysis of the grid-related performance of the excitation and speed regulation two control systems of the power generating set, so that the operation of the power generating set meets the technical requirement of grid source coordination, the reliable power supply supporting function of the conventional power generating set on the power grid is fully exerted, the safe operation and production of the power generating set are ensured, and the management level of the power plant equipment is improved.
The network source coordination online monitoring master station realizes the performance evaluation and model checking functions of the unit network-related equipment (excitation and speed regulation). The data sources include: steady state data, transient waveforms, and dynamic real-time data sent over the 103 channel. The frequency of dynamic real-time data uploaded through the PMU channel is 100 frames/second, which is 1000 times faster than the uploading frequency of conventional steady-state data. The data transmitted at high frequency puts higher technical requirements on data acquisition, storage, access and analysis of the master station.
At present, a network source coordination online monitoring system master station faces huge data processing and storage pressure, and is mainly embodied in four aspects:
firstly, the acquisition frequency of dynamic data sent to a main station from a network source coordination monitoring substation is up to 100 frames/second, and a front-end processor of the main station stably and timely processes the dynamic data sent from all the substations within an interval of 10 milliseconds, so that an extremely high requirement is provided for the processing capacity of the front-end processor of the main station;
secondly, taking provincial network source coordination monitoring master stations which govern 100 power plants as research objects, assuming that each power plant has 4 units, each unit needs to send 250 measuring points, and then 10 ten thousand measuring points exist in total. Each measuring point sends 100 times of data per second, and 100 ten thousand data are processed per second and stored in a database. The performance peak value of the conventional relational database is stored for thousands of times per second, and the requirement of the application scene can not be met;
and thirdly, taking the scene as a research object, storing 100 data at 10 ten thousand measuring points every second, wherein each data is about 20 bytes, and calculating to obtain the historical data volume of 4T generated every day. This is a very large storage requirement, which puts extremely high demands on the historical storage space of the primary station. Generally, the historical storage space of a provincial EMS main station system is about 10T;
and fourthly, providing basic data for network source coordination application analysis by the relational database and the time sequence database. However, under the pressure of such a high-density storage load, the stability of the relational database and the time-series database is difficult to guarantee. The stability of the database seriously affects the usability of the system.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, provides a multi-level data storage system and a multi-level data storage method in a network source coordination online monitoring system, realizes high-capacity, multi-scale and high-reliability dynamic data acquisition, storage and access, and provides stable and reliable data support for network source coordination online monitoring and performance evaluation.
In order to achieve the purpose, the invention is realized by adopting the following technical scheme:
in a first aspect, the present invention provides a multi-level data storage system in a network source coordination online monitoring system, including:
the link communication module receives the dynamic collected data of the on-line monitoring substation equipment, analyzes the dynamic data and stores the data into the preposed data cache region;
the protocol processing module is used for storing the data in the preposed data cache region into the dynamic data cache region after performing protocol processing on the data in the preposed data cache region;
and the dynamic data storage module is used for storing the data in the dynamic data cache region into the time sequence database and the relation database.
Further, the link communication module sends the issued information of the protocol processing module to the online monitoring substation equipment through a corresponding TCP link, and sends the uploaded information from the online monitoring substation equipment to each protocol processing module through the preposed data cache region.
Further, the protocol processing module processes and analyzes the original data stream in the pre-data cache region according to the communication protocol, writes the obtained real-time dynamic data into the dynamic data cache region, and writes the issued information into the pre-data cache region.
Further, the issued information includes an organization calling configuration, a calling file, and a downloading configuration command.
Further, the dynamic data storage module submits and stores the dynamic data uniformly stored in the dynamic data cache region after the dynamic data is subjected to the rule interpretation processing to a time sequence database and a relation database, wherein the time sequence database is used for the query and analysis of the online monitoring application, and the relation database is used for the query of the historical data.
Further, the dynamic data cache region stores recent instant data supporting online evaluation and model checking real-time application.
Furthermore, the system also comprises a preposed interface module which can access the preposed data buffer area and display the current link data information in real time.
In a second aspect, the present invention provides a multi-level data storage method in a network source coordination online monitoring system, including:
acquiring uploading information of an online monitoring device;
analyzing dynamic data of the uploaded information, and storing the information in a preposed data cache region;
after carrying out protocol processing on the data in the prepositive data cache region, storing the data in the dynamic data cache region;
and storing the data in the dynamic data cache region into a time sequence database and a relational database.
In a third aspect, the present invention provides a multi-level data storage device in a network source coordination online monitoring system, which includes a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method described above.
In a fourth aspect, the invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method described above.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, the link communication module is arranged between the on-line monitoring substation equipment and the front interface sub-module, and the front data cache is carried out after the dynamic data analysis is carried out on the dynamic data acquired by the on-line monitoring substation equipment, so that the dynamic data acquisition, storage and access with high capacity, multiple scales and high reliability are realized, and stable and reliable data support is provided for network source coordination on-line monitoring and performance evaluation.
The dynamic data cache region is arranged in the link communication module, so that the timeliness of high-density and high-capacity data processing is improved, and a solid data foundation is provided for performance evaluation and model checking; the method provides rapid, stable and reliable millisecond-level data storage, and meets the performance requirement of large-scale historical data high-speed storage; the efficient data compression efficiency is greatly improved by aiming at various multi-layer lossless compression algorithms of different data types, the storage space is saved, the system does not depend on historical databases stored in magnetic disks such as a relational database and a time sequence database, even if the historical databases are down, real-time online application programs such as performance evaluation and online check are kept running stably, and the reliability of the system is greatly improved.
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FIG. 1 is a process diagram of a distributed asynchronous high-speed data processing scheme according to an embodiment of the present invention;
fig. 2 is a process diagram of a multi-tier data service technique provided in an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The first embodiment is as follows:
a multi-level data storage system in a network source coordination online monitoring system comprises a link communication module, a protocol processing module and a dynamic data storage module. Aiming at the problem that a conventional foreground and background message processing mechanism adopted in a preposition is difficult to meet the performance requirements of high-density and large-capacity dynamic data acquisition, the system adopts a distributed asynchronous high-speed data processing scheme based on a shared memory in a link communication module, realizes dynamic data analysis, stores the dynamic data into a preposition data cache region for monitoring original data, and completes the whole process within 2 milliseconds. And the protocol processing module processes the data in the preposed data cache region, stores the data in the dynamic data cache region and is used for online evaluation and analysis. And the dynamic data storage module is used for further processing the data in the dynamic data cache region, storing the data in a time sequence database and a relation database and used for historical data service and scene reproduction inversion.
As shown in fig. 1. The main flow of the distributed asynchronous high-speed data processing scheme can be divided into three layers: the system comprises a link communication layer (namely a link communication module), a protocol processing layer (namely a protocol processing module) and a data storage layer (namely a dynamic data storage module), wherein two fast data cache regions (namely a front data cache region and a dynamic data cache region) which are created based on a shared memory technology are positioned between the three layers.
The link communication module completes the communication functions of management, data and file pipelines of on-line monitoring substation equipment of each plant station, and sends issued information of the protocol processing module to an on-line monitoring device, such as a PMU (phasor measurement Unit), through a corresponding TCP (Transmission control protocol) link, and the PMU is used for communicating with the on-line monitoring device and configuring the on-line monitoring device; meanwhile, the uploading information from the online monitoring device is sent to each protocol processing module through the preposed data cache region, and the link communication module is a bottommost submodule directly facing the online monitoring device.
And the protocol processing module processes and analyzes the original data stream in the preposed data receiving and transmitting cache region according to a communication protocol, and writes the obtained real-time dynamic data into the dynamic data cache region. The protocol processing module accesses a system task management bus, acquires a substation data access task list from a main station, and further organizes and writes down information commands such as calling configuration, calling files, downloading configuration and the like into a front data receiving and transmitting cache region.
The dynamic data storage module is responsible for sequentially submitting and storing dynamic data uniformly stored in the dynamic data cache region after the dynamic data is subjected to rule interpretation processing into a time sequence database for online monitoring application such as low-frequency oscillation and the like, and submitting the dynamic data into a relation database for historical application such as historical data query and the like.
The front-end interface module can access the front-end data cache region and display the current link data information in real time, wherein the current link data information comprises information such as link communication state, communication messages and message analysis data.
It should be noted that, the dynamic data that is subjected to the pre-analysis by the link communication module, the protocol processing module, and the dynamic data storage module is distributed to the dynamic data cache region, the time sequence database, and the relationship database for storage, where:
and the dynamic data cache region stores recent instant data to support real-time application such as online evaluation, model checking and the like. The dynamic data cache stores the real-time data of the latest 1200 frames of all the recent measuring points, provides data service for the online monitoring and analyzing function of the network source, decouples the real-time analyzing function of the system from the historical databases such as time sequence, relation and the like, improves the stability and reliability of the system, and enables the online evaluation and analysis function of the system to normally operate even if the historical databases such as time sequence, relation and the like are down. In the dynamic data caching service, strategies of memory mapping, multi-sample, non-synchronization and circular rolling are adopted, and timeliness and reliability of online evaluation analysis program data request response are guaranteed. The frequency of PMU data is millisecond level, the density is 3 orders of magnitude more than that of conventional steady state data, the system data storage and the synchronous pressure are improved in a large proportion, the system adopts multi-sample node-by-node storage, and the data among different nodes are asynchronous so as to reduce the pressure of system data interaction. The latest 1200 frames of real-time data of all the objects are cached in the dynamic data cache region, and the real-time data are stored in a circular rolling mode. Taking 100HZ sampling frequency as an example, the latest 12S data can be buffered. And the data requirement of an online analysis program such as low-frequency oscillation is 10S recently. The dynamic cache may support the data requirements of the online analysis program. The dynamic data cache provides real-time data high-speed service for the outside, accesses the on-duty node cache, and quickly extracts data and provides the data for application according to a rolling offset algorithm.
The time sequence database stores complete dynamic historical data for off-line analysis to realize scene reproduction; because the relational database can only provide thousands of data services per second, the performance requirements of millions of times cannot be met. In the time sequence relational database, a multi-process, multi-thread and data alignment strategy is adopted, so that the service performance of the time sequence data is improved to 500 ten thousand times/second. The technology adopts the classification and multilayer lossless compression technology, improves the compression rate of time sequence historical data to 90 percent, and effectively solves the problem that the network source historical data occupies a large space. In order to meet the requirement of query speed, the time sequence database is internally provided with a memory cache for caching the hot data, so that disk IO is reduced, and the query efficiency is improved. The conventional cache management method generally adopts a first-in first-out method, a method which is not used recently and the like to uniformly manage the cache. The method provides a method for adding a pre-reading cache outside a conventional cache, predicts data which is possibly accessed in the next stage by analyzing the data access trend, and loads related data into the pre-reading cache in advance after obtaining an analysis result so as to improve the data access efficiency.
The method takes the characteristics of high timeliness and high data density of network source coordination application analysis into consideration, and the dynamic data caching service of the memory is constructed. The system constructs a multi-node distributed storage cache and performs distributed circular rolling storage according to a channel duty strategy. The method integrates the prepositive data service, the dynamic data caching service, the time sequence data service and the relational data service into a whole, and solves the problems of high data frequency, high speed, large capacity and the like of the system.
Example two:
a multi-level data storage method in a network source coordination online monitoring system is realized based on the multi-level data storage system in the network source coordination online monitoring system in the first embodiment, and comprises the following steps:
acquiring uploading information of an online monitoring device;
analyzing dynamic data of the uploaded information, and storing the information in a preposed data cache region;
after carrying out protocol processing on the data in the prepositive data cache region, storing the data in the dynamic data cache region;
and storing the data in the dynamic data cache region into a time sequence database and a relational database.
Example three:
the embodiment of the invention also provides a multi-level data storage device in the network source coordination online monitoring system, which can realize the multi-level data storage method in the network source coordination online monitoring system in the second embodiment, and the multi-level data storage device comprises a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method of:
acquiring uploading information of an online monitoring device;
analyzing dynamic data of the uploaded information, and storing the information in a preposed data cache region;
after carrying out protocol processing on the data in the prepositive data cache region, storing the data in the dynamic data cache region;
and storing the data in the dynamic data cache region into a time sequence database and a relational database.
Example four:
the embodiment of the present invention further provides a computer-readable storage medium, which can implement the multi-level data storage method in the network source coordination online monitoring system in the second embodiment, wherein a computer program is stored thereon, and when being executed by a processor, the computer program implements the following steps of the method:
acquiring uploading information of an online monitoring device;
analyzing dynamic data of the uploaded information, and storing the information in a preposed data cache region;
after carrying out protocol processing on the data in the prepositive data cache region, storing the data in the dynamic data cache region;
and storing the data in the dynamic data cache region into a time sequence database and a relational database.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or 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, and the like) 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 application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.

Claims (10)

1. A multi-level data storage system in a network source coordination online monitoring system is characterized by comprising:
the link communication module receives the dynamic collected data of the on-line monitoring substation equipment, analyzes the dynamic data and stores the data into the preposed data cache region;
the protocol processing module is used for storing the data in the preposed data cache region into the dynamic data cache region after performing protocol processing on the data in the preposed data cache region;
and the dynamic data storage module is used for storing the data in the dynamic data cache region into the time sequence database and the relation database.
2. The system according to claim 1, wherein the link communication module sends the information sent from the protocol processing module to the on-line monitoring substation equipment through the corresponding TCP link, and sends the information sent from the on-line monitoring substation equipment to each protocol processing module through the pre-data buffer area.
3. The system of claim 1, wherein the protocol processing module processes and analyzes the original data stream in the pre-data buffer according to the communication protocol, writes the obtained real-time dynamic data into the dynamic data buffer, and writes the issued information into the pre-data buffer.
4. The system of claim 2 or 3, wherein the distributed information comprises an organization call configuration, a call file, and a download configuration command.
5. The system of claim 1, wherein the dynamic data storage module submits and stores the dynamic data uniformly stored in the dynamic data buffer after the reduction interpretation processing to a time sequence database and a relation database, the time sequence database is used for query and analysis of the online monitoring application, and the relation database is used for historical data query.
6. The system of claim 1, wherein the dynamic data cache region stores recent real-time data supporting online evaluation and model checking real-time application.
7. The system of claim 1, further comprising a front-end interface module capable of accessing the front-end data buffer and displaying the current link data information in real time.
8. A multi-level data storage method in a network source coordination online monitoring system is characterized by comprising the following steps:
acquiring uploading information of an online monitoring device;
analyzing dynamic data of the uploaded information, and storing the information in a preposed data cache region;
after carrying out protocol processing on the data in the prepositive data cache region, storing the data in the dynamic data cache region;
and storing the data in the dynamic data cache region into a time sequence database and a relational database.
9. A multi-level data storage device in a network source coordination online monitoring system is characterized by comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method of claim 8.
10. Computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method as claimed in claim 8.
CN202111438571.XA 2021-11-30 2021-11-30 Multi-level data storage system and method in network source coordination online monitoring system Pending CN114327257A (en)

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