CN111131249B - Data processing method and device - Google Patents
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- CN111131249B CN111131249B CN201911349677.5A CN201911349677A CN111131249B CN 111131249 B CN111131249 B CN 111131249B CN 201911349677 A CN201911349677 A CN 201911349677A CN 111131249 B CN111131249 B CN 111131249B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/22—Parsing or analysis of headers
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
- H04L47/2441—Traffic characterised by specific attributes, e.g. priority or QoS relying on flow classification, e.g. using integrated services [IntServ]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/04—Protocols for data compression, e.g. ROHC
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
Abstract
The application discloses a data processing method and device. Wherein, the method comprises the following steps: acquiring message data of the electrical equipment, wherein the message data records data representing the running state of the electrical equipment; analyzing the message data, and determining the characteristic point message data corresponding to the data with abnormal operation state of the electrical equipment; and determining target message data according to the feature point message data. The method and the device solve the technical problems that in the fault monitoring process of the conventional secondary equipment, a full message recording and transmission mode is adopted, the occupied bandwidth is large, and the fault positioning efficiency is low.
Description
Technical Field
The application relates to the field of electrical equipment monitoring, in particular to a data processing method and device.
Background
The secondary equipment is a support for ensuring the safe and stable operation of the primary system, and realizes the monitoring, control, regulation and prevention of the primary system and the isolation of the primary system.
With the continuous expansion of power grids, especially with the popularization and application of intelligent substations, the monitoring means of the secondary equipment of the traditional substation cannot adapt to the development of the intelligent substation. Because the data volume of the sampling data and the control information is huge, the network throughput needs to reach the peak value level of the whole station when the whole station is monitored and analyzed on line. How to monitor, state evaluation and early warning intelligent secondary equipment in real time under network communication becomes the basis for state maintenance of a secondary system, and is the problem that the automation of the current transformer substation needs to be solved urgently to improve the operation management level.
In the process of on-line monitoring of the secondary equipment of the transformer substation, in order to inquire an error source with a fault, a full-message recording and transmission mode is adopted, namely, all messages in a network are recorded, and full-message retrieval is carried out after the message recording is finished. The scheme occupies a large amount of bandwidth in network transmission, and meanwhile, the fault point of the secondary equipment cannot be effectively found.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the application provides a data processing method and device, and aims to at least solve the technical problems that in the fault monitoring process of the conventional secondary equipment, a full-message recording and transmission mode is adopted, the occupied bandwidth is large, and the fault positioning efficiency is low.
According to an aspect of an embodiment of the present application, there is provided a data processing method, including: acquiring message data of the electrical equipment, wherein the message data records data representing the running state of the electrical equipment; analyzing the message data, and determining the characteristic point message data corresponding to the data with abnormal operating state of the electrical equipment; and determining target message data according to the feature point message data.
Optionally, determining the target packet data according to the feature point packet data includes: acquiring message data of a preset frame number before and after the feature point message data; and taking the message data with the preset frame number and the feature point message data as target message data.
Optionally, after determining the target packet data according to the feature point packet data, the method further includes: and compressing the target message data by adopting a preset lossless compression algorithm.
Optionally, before parsing the message data, the method further includes: and classifying the message data according to the protocol type of the message data.
Optionally, the number of the preset frames is determined according to a type of the message data.
According to another aspect of the embodiments of the present application, there is also provided a data processing apparatus, including: the acquisition module is used for acquiring message data of the electrical equipment, wherein the message data records data representing the running state of the electrical equipment; the analysis module is used for analyzing the message data and determining the characteristic point message data corresponding to the data with abnormal operation state of the electrical equipment; and the determining module is used for determining the target message data according to the feature point message data.
Optionally, the determining module includes: the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring message data of a preset frame number before and after the feature point message data; and the setting unit is used for taking the message data with the preset frame number and the feature point message data as target message data.
Optionally, the apparatus further comprises: and the compression module is used for compressing the target message data by adopting a preset lossless compression algorithm.
Optionally, the apparatus further comprises: and the classification module is used for classifying the message data according to the protocol type of the message data before analyzing the message data.
Optionally, the number of the preset frames is determined according to a type of the message data.
According to another aspect of the embodiments of the present application, there is also provided a storage medium including a stored program, where the program is run to control a device on which the storage medium is located to execute the above data processing method.
According to still another aspect of the embodiments of the present application, there is provided a processor configured to execute a program, where the program executes the above processing method for data.
In the embodiment of the application, message data of the electrical equipment are obtained, wherein data representing the running state of the electrical equipment are recorded in the message data; analyzing the message data, and determining the characteristic point message data corresponding to the data with abnormal operation state of the electrical equipment; the method for determining the target message data according to the feature point message data achieves the technical effects of reducing the bandwidth occupied by the message of the secondary equipment and improving the fault locating speed of the secondary equipment, and further solves the technical problems that in the fault monitoring process of the conventional secondary equipment, a full message recording and transmitting mode is adopted, the occupied bandwidth is large, and the fault locating efficiency is low.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a flow chart of a method of processing data according to an embodiment of the application;
fig. 2 is a schematic flowchart of an online real-time compression method for message data according to an embodiment of the present application;
fig. 3 is a block diagram of a data processing apparatus according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the accompanying drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the present application, there is provided an embodiment of a method of processing according to the present application, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than that presented herein.
Fig. 1 is a flowchart of a data processing method according to an embodiment of the present application, and as shown in fig. 1, the method includes the following steps:
step S102, message data of the electrical equipment is obtained, wherein data representing the running state of the electrical equipment are recorded in the message data. And receiving the network message of the intelligent substation and storing the network message in a cache region.
And step S104, analyzing the message data, and determining the feature point message data corresponding to the data with abnormal operation state of the electrical equipment.
According to an optional embodiment of the present application, the feature point message data in step S104 refers to message data in which a failure of the secondary device is recorded.
And step S106, determining target message data according to the feature point message data.
Through the steps, the technical effects of reducing the bandwidth occupied by the message of the secondary equipment and improving the fault positioning speed of the secondary equipment can be achieved.
According to an alternative embodiment of the present application, step S106 may be implemented by: acquiring message data of a preset frame number before and after the feature point message data; and taking the message data with the preset frame number and the feature point message data as target message data.
According to an optional embodiment of the present application, after parsing the message, the feature point message is screened out and labeled. And then, accurately extracting upper and lower associated messages of the feature points, matching according to the labels, and pointedly recording n1 frames before the fault point and n2 frames after the fault point as target messages. It should be noted that n1 and n2 mentioned herein can be set according to specific situations.
In some optional embodiments of the present application, after the step S106 is completed, the target message data is compressed by using a predetermined lossless compression algorithm.
In an optional embodiment of the present application, a RICE lossless compression algorithm is used to compress the target message data. RICE encoding enables better compression ratios to be achieved. The idea of RICE coding is to store as many words with as few bits as possible.
According to an alternative embodiment of the present application, before performing step S104, the message data is further classified according to the protocol type of the message data.
According to an optional embodiment of the present application, the number of the preset frames is determined according to a type of the message data.
Because different types of messages transmit messages of different types of secondary devices, the feature point data in the different types of messages are also different, and therefore before analyzing the message data, the messages need to be classified according to the protocol type in the message data. And then determining corresponding feature point message data according to the type of the message.
The method can realize that messages of a preset number of frames before and after the characteristic point are stored in a targeted manner according to different characteristic point message data.
Fig. 2 is a schematic flow chart of a method for compressing message data in real time on line according to an embodiment of the present application, and as shown in fig. 2, the method includes the following steps:
step S201, receiving a network message of an intelligent substation and storing the network message into a cache region;
step S202, the self-adaptive step size unit carries out step size analysis based on preset standards, and the sampling unit carries out screening and classification on data with the same protocol and step size;
step S203, the prediction filtering module carries out message pre-analysis, screens out the characteristic point message and marks the characteristic point message;
and step S204, the coding module accurately extracts the upper and lower associated messages of the feature points according to the prediction filtering module. Matching is carried out according to the labels in the sampling units, messages of n1 frames before the fault point and n2 frames after the fault point are recorded in a targeted mode, and time labels are triggered according to the frequency dividing unit; compressing the data with the time labels based on an RICE compression algorithm;
and step S205, sending OUT the final message through an OUT interface.
The method can achieve the following technical effects: the bandwidth of a transmission channel is saved; the requirements of buffering and storage equipment are reduced; shortening the transmission time at a given rate and increasing the safety factor of the transmitted data, etc. The performance of the intelligent substation early warning evaluation system is greatly improved, the automation safety level and the operation management level of the power grid in the unattended substation are greatly improved, the construction of the intelligent substation is perfected, and the intelligent substation early warning evaluation system plays an important role in guaranteeing the safe and stable operation of the intelligent power grid.
Fig. 3 is a block diagram of a data processing apparatus according to an embodiment of the present application, as shown in fig. 2, the apparatus including:
the obtaining module 30 is configured to obtain message data of the electrical device, where the message data records data representing an operating state of the electrical device.
And the analysis module 32 is configured to analyze the message data and determine feature point message data corresponding to the data in which the operating state of the electrical device is abnormal.
According to an optional embodiment of the present application, the feature point message data refers to message data in which a failure occurs in the secondary device is recorded.
And the determining module 34 is configured to determine the target message data according to the feature point message data.
By the aid of the device, the technical effects of reducing the bandwidth occupied by the message of the secondary equipment and improving the fault locating speed of the secondary equipment can be achieved.
According to an alternative embodiment of the present application, the determining module includes: the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring message data of a preset frame number before and after the feature point message data; and the setting unit is used for taking the message data with the preset frame number and the feature point message data as target message data.
According to an optional embodiment of the present application, after parsing the message, the feature point message is screened out and labeled. And then, accurately extracting upper and lower associated messages of the feature points, matching according to the labels, and pointedly recording n1 frames before the fault point and n2 frames after the fault point as target messages. It should be noted that n1 and n2 mentioned herein can be set according to specific situations.
In some optional embodiments of the present application, the apparatus further comprises: and the compression module is used for compressing the target message data by adopting a preset lossless compression algorithm.
In an optional embodiment of the present application, a RICE lossless compression algorithm is used to compress the target message data. RICE coding enables a better compression ratio. The idea of RICE coding is to store as many words with as few bits as possible.
According to an alternative embodiment of the present application, the apparatus further comprises: and the classification module is used for classifying the message data according to the protocol type of the message data before analyzing the message data.
According to an optional embodiment of the present application, the number of the preset frames is determined according to a type of the message data.
Because different types of messages transmit messages of different types of secondary devices, the feature point data in the different types of messages are also different, and therefore before analyzing the message data, the messages need to be classified according to the protocol type in the message data. And then determining corresponding feature point message data according to the type of the message.
The device can realize that messages of a preset number of frames before and after the characteristic point are stored in a targeted manner according to different characteristic point message data.
The embodiment of the application also provides a storage medium, wherein the storage medium comprises a stored program, and when the program runs, the device where the storage medium is located is controlled to execute the above data processing method.
The storage medium stores a program for executing the following functions: acquiring message data of the electrical equipment, wherein the message data records data representing the running state of the electrical equipment; analyzing the message data, and determining the characteristic point message data corresponding to the data with abnormal operation state of the electrical equipment; and determining target message data according to the feature point message data.
The embodiment of the application also provides a processor, wherein the processor is used for running the program, and the program executes the processing method of the data when running.
The processor is used for running a program for executing the following functions: acquiring message data of the electrical equipment, wherein the message data records data representing the running state of the electrical equipment; analyzing the message data, and determining the characteristic point message data corresponding to the data with abnormal operation state of the electrical equipment; and determining target message data according to the feature point message data.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (6)
1. A method for processing data, comprising:
acquiring message data of electrical equipment, wherein data representing the running state of the electrical equipment is recorded in the message data;
classifying the message data according to the protocol type of the message data;
analyzing the message data, and determining the characteristic point message data corresponding to the data with abnormal operation state of the electrical equipment;
the characteristic point message data refers to message data for recording faults of secondary equipment in the message data;
determining target message data according to the feature point message data, including:
acquiring message data of a preset frame number before and after the feature point message data;
taking the message data with the preset frame number and the feature point message data as the target message data;
and compressing the target message data by adopting a preset lossless compression algorithm.
2. The method of claim 1,
and the number of the preset frames is determined according to the type of the message data.
3. An apparatus for processing data, comprising:
the acquisition module is used for acquiring message data of the electrical equipment, wherein the message data records data representing the running state of the electrical equipment;
the analysis module is used for analyzing the message data and determining the characteristic point message data corresponding to the data with abnormal operation state of the electrical equipment;
a determining module, configured to determine target packet data according to the feature point packet data, including:
an obtaining unit, configured to obtain message data of a preset frame number before and after the feature point message data;
a setting unit, configured to use the message data of the preset frame number and the feature point message data as the target message data;
the compression module is used for compressing the target message data by adopting a preset lossless compression algorithm;
the device further comprises: the classification module is used for classifying the message data according to the protocol type of the message data before analyzing the message data;
the feature point message data refers to message data recording faults of the secondary equipment in the message data.
4. The apparatus of claim 3,
and the number of the preset frames is determined according to the type of the message data.
5. A storage medium, characterized in that the storage medium comprises a stored program, wherein the program controls a device on which the storage medium is located to execute the data processing method according to any one of claims 1 to 2 when running.
6. A processor, characterized in that the processor is configured to run a program, wherein the program is configured to execute a method for processing data according to any one of claims 1 to 2 when running.
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