CN107909035B - Quasi-real-time fault recording file reading and analyzing system - Google Patents

Quasi-real-time fault recording file reading and analyzing system Download PDF

Info

Publication number
CN107909035B
CN107909035B CN201711133684.2A CN201711133684A CN107909035B CN 107909035 B CN107909035 B CN 107909035B CN 201711133684 A CN201711133684 A CN 201711133684A CN 107909035 B CN107909035 B CN 107909035B
Authority
CN
China
Prior art keywords
recording file
fault recording
fault
winscp
file storage
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201711133684.2A
Other languages
Chinese (zh)
Other versions
CN107909035A (en
Inventor
史磊
张沈习
李君宏
韦鹏
高海洋
吕军
张志贤
窦俊廷
王天鹏
张立明
邓沛
刘廷堃
赵宇卿
孙璐
毛春翔
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Jiaotong Electric Power Technology Co ltd
State Grid Corp of China SGCC
State Grid Ningxia Electric Power Co Ltd
Original Assignee
Shanghai Jiaotong Electric Power Technology Co ltd
State Grid Corp of China SGCC
State Grid Ningxia Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Jiaotong Electric Power Technology Co ltd, State Grid Corp of China SGCC, State Grid Ningxia Electric Power Co Ltd filed Critical Shanghai Jiaotong Electric Power Technology Co ltd
Priority to CN201711133684.2A priority Critical patent/CN107909035B/en
Publication of CN107909035A publication Critical patent/CN107909035A/en
Application granted granted Critical
Publication of CN107909035B publication Critical patent/CN107909035B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00496Recognising patterns in signals and combinations thereof
    • G06K9/00523Feature extraction
    • G06K9/0053Feature extraction by analysing the shape of a waveform, e.g. extracting parameters relating to peaks
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/08Learning methods
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/0006Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network for single frequency AC networks
    • H02J13/0013Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network for single frequency AC networks characterised by transmission structure between the control or monitoring unit and the controlled or monitored unit
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/06Network-specific arrangements or communication protocols supporting networked applications adapted for file transfer, e.g. file transfer protocol [FTP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/10Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network
    • H04L67/1095Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network for supporting replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes or user terminals or syncML

Abstract

The invention provides a quasi-real-time fault recording file reading and analyzing system, and belongs to the field of fault recording data transmission and processing. The method comprises the following steps: the plurality of fault recording devices are connected with a fault recording file storage server, and the analysis processing platform is connected with the fault recording file storage server through a switch; WinSCP software and fault recording file analysis software are installed on the analysis processing platform, and a recording file storage folder is pre-established in a memory of the analysis processing platform; the WinSCP software is used for connecting the WinSCP script file with a fault recording file storage server and synchronously copying fault recording files generated in a plurality of designated folders in the fault recording file storage server to a recording file storage folder in real time; and the fault recording file analysis software is used for analyzing the synchronous fault recording files in the recording file storage folder. The invention not only can not damage the original fault recording file in the fault recording file storage server, but also is safe, efficient and stable.

Description

Quasi-real-time fault recording file reading and analyzing system
Technical Field
The invention relates to the technical field of fault recording data transmission and processing, in particular to a quasi-real-time fault recording file reading and analyzing system.
Background
The transformer substation plays a role of a power transmission transfer station in a power grid, and primary equipment in the station is an important component of power transmission. When the primary equipment is abnormal or has a fault, a fault recording device in the station is triggered, the voltage, the current and other conditions at the moment are recorded by the fault recording device, and a fault recording file is generated and stored in a fault recording file storage server. In order to know the abnormality and the cause of the fault, the fault recording file needs to be read and analyzed.
At present, a method for reading and analyzing a fault recording file is mainly to manually observe the variation trend of a waveform in the recorded fault recording file and analyze the waveform according to a related power transmission principle, a protection principle and other analysis methods of a power system. During analysis, reading and analyzing the fault recording file in a disk mapping mode on a fault recording file storage server or on a local area network computer connected with the fault recording file storage server through universal fault recording file viewing software.
The current mode mainly has the following defects: 1. because the protection configuration and the variable setting of each station are different, and the general fault recording file viewing software has no pertinence, the general fault recording file viewing software can only be used for basic analysis, and usually needs manual analysis by an analyst, so that the workload is large, and the automatic analysis function after the fault recording file is loaded is not realized; 2. the general fault recording file viewing software cannot realize the function of independently reading the latest fault recording file in real time, namely, the general fault recording file viewing software does not have the functions of detecting the latest fault recording file, automatically reading recording data and automatically analyzing one set of functions; 3. the original fault recording file in the fault recording file storage server can be directly operated by directly checking the fault recording file on the fault recording file storage server or reading and analyzing the fault recording file on a local area network computer connected with the fault recording file storage server in a disk mapping mode, and data transmission is not encrypted, so that the original fault recording file is easily unprotected, and the original fault recording file is easily damaged.
Disclosure of Invention
The invention aims to solve the technical problems that manual work is needed when a fault recording file is read and analyzed, the workload is large, the current universal fault recording file viewing software does not have the automatic analysis function after the fault recording file is loaded, does not have the functions of detecting the latest fault recording file, automatically reading recording data, automatically analyzing one set of functions and easily enabling the original fault recording file in a fault recording file storage server to lose protection to cause damage, and provides a quasi-real-time fault recording file reading and analyzing system.
In order to solve the technical problems, the invention adopts the technical scheme that:
a quasi-real-time fault recording file reading and analyzing system comprises a plurality of fault recording devices, a fault recording file storage server, a switch and an analysis processing platform; the analysis processing platform is connected with the fault recording file storage server through a switch; WinSCP software and fault recording file analysis software are installed on the analysis processing platform, and a recording file storage folder is pre-established in a memory of the analysis processing platform; the WinSCP software is used for connecting the WinSCP script file with a fault recording file storage server and synchronously copying fault recording files generated in a plurality of designated folders in the fault recording file storage server to a recording file storage folder in real time; and the fault recording file analysis software is used for analyzing the synchronous fault recording files in the recording file storage folder.
Optionally, when the WinSCP software synchronously copies the fault recording files generated in a plurality of designated folders in the fault recording file storage server to the recording file storage folder in real time, the method includes the following steps:
step 1, starting WinSCP software, and loading a WinSCP script file which is written by a WinSCP instruction in advance;
step 2, the WinSCP script file acquires a network address of a fault recording file storage server;
step 3, acquiring attribute information of a plurality of designated folders on a fault recording file storage server by a WinSCP script file;
step 4, acquiring attribute information of a wave recording file storage folder pre-established on the analysis processing platform by the WinSCP script file;
step 5, the WinSCP script file establishes a synchronous connection relation between the plurality of specified folders and the wave recording file storage folder according to the network address of the fault wave recording file storage server, the attribute information of the plurality of specified folders and the attribute information of the wave recording file storage folder;
step 6, the WinSCP script file detects whether a new fault recording file is generated in any one appointed folder; if any one of the designated folders has a new fault recording file generated, executing step 7; if no new fault recording file is generated in the plurality of appointed folders, returning to the step 2;
step 7, reading the WinSCP script file and copying a new fault recording file into a recording file storage folder;
step 8, judging whether the exit operation of the user on WinSCP software is detected by the WinSCP script file; if the user is detected to quit the WinSCP software, the process is ended; and if the user exit operation on the WinSCP software is not detected, returning to the step 2.
Optionally, when the fault recording file analysis software analyzes the fault recording file synchronized in the recording file storage folder, the method includes the following steps:
s1, starting fault recording file analysis software, and performing parameter pre-reading and interface updating on the fault recording file analysis software;
s2, the fault recording file analysis software determines whether to analyze manually or automatically; if it is a manual analysis operation, performing S3 to S5; if it is an automatic analysis operation, performing S6 to S11;
s3, loading the fault recording file manually selected by the user in the recording file storage folder by the fault recording file analysis software, and analyzing the fault recording file manually selected by the user through a fault diagnosis algorithm in the fault recording file analysis software; s4, judging whether the fault recording file manually selected by the user is abnormal by the fault recording file analysis software, and executing S5 if the fault recording file is abnormal; if no abnormity exists, the process is ended; s5, outputting an alarm signal by the fault recording file analysis software;
s6, starting a timing task by the fault recording file analysis software, and detecting whether a new fault recording file is acquired from a recording file storage folder once every preset time; s7, judging whether a new fault recording file is acquired within any preset time by the fault recording file analysis software; if a new fault recording file is acquired within any preset time, executing S8; if the new fault recording file is not acquired within any preset time, returning to the step S6; s8, the fault recording file analysis software prompts that a new fault recording file exists, loads the new fault recording file, and analyzes the new fault recording file through a fault diagnosis algorithm in the fault recording file analysis software; s9, judging whether the new fault recording file is abnormal or not by the fault recording file analysis software, if so, executing S10, and if not, returning to S6; s10, outputting an alarm signal by the fault recording file analysis software; s11, the fault recording file analysis software judges whether the operation of suspending operation is detected, if the operation of suspending operation is detected, the flow is ended; if the operation of suspending the operation is not detected, return is made to S6.
The invention has the beneficial effects that:
(1) the fault recording files generated in a plurality of specified folders in the fault recording file storage are synchronously copied to the recording file storage folder in real time through WinSCP software, so that the fault recording files are prevented from being directly read from a fault recording file storage server or a local area network computer connected with the fault recording file storage server, the original fault recording files in the fault recording file storage server are not easily damaged, and the method has the characteristics of safety, high efficiency, stability and the like;
(2) the remote fault recording file storage server can be synchronized with a fault recording file on a local computer of the processing and analyzing platform by connecting the WinSCP script file with the fault recording file storage server, so that the normal work of the remote fault recording file storage server is not influenced, and the original fault recording file is not influenced;
(3) the automatic detection function of the fault recording analysis software can detect a new fault recording file in the recording file storage folder at regular time, and once the new fault recording file is generated in the recording file storage folder, the new fault recording file is immediately analyzed by a fault recording analysis method, so that an analysis result can be obtained at the first time, and the running condition of primary equipment can be obtained in real time;
(4) the components in the system are independent, and any one module is upgraded and maintained without affecting other components.
Compared with the prior art, the fault recording file analysis method has the advantages that when the fault recording file is analyzed, the manual work is not needed, the workload is low, and the labor cost can be reduced; the fault recording file can be manually analyzed, and can also be automatically analyzed; whether primary equipment fails or not can be found in real time; the failure recording file storage server is not directly connected with the failure recording file storage server for analysis, so that the failure recording file storage server has the characteristics of safety, high efficiency, stability and the like, and original failure recording files stored by the failure recording file storage server are not easy to damage.
Drawings
FIG. 1 is a schematic diagram of the system components of the present invention.
Fig. 2 is a flowchart of WinSCP software copying fault recording files generated in a plurality of designated folders to a recording file storage folder synchronously in real time.
Fig. 3 is a flowchart of the fault recording file analysis software when analyzing the fault recording file synchronized in the recording file storage folder.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
As shown in fig. 1, the system for reading and analyzing a quasi-real-time fault recording file in this embodiment includes: the system comprises a plurality of fault recording devices 2, a fault recording file storage server 1, a switch 3 and an analysis processing platform 4; the plurality of fault recording devices 2 are connected with the fault recording file storage server 1, and the analysis processing platform 4 is connected with the fault recording file storage server 1 through the switch 3; WinSCP software and fault recording file analysis software are installed on the analysis processing platform 4, and a recording file storage folder is pre-established in a memory of the analysis processing platform 4; the WinSCP software is used for connecting the fault recording file storage server 1 through a WinSCP script file and synchronously copying fault recording files generated in a plurality of designated folders in the fault recording file storage server 1 to a recording file storage folder in real time; and the fault recording file analysis software is used for analyzing the synchronous fault recording files in the recording file storage folder.
Optionally, as shown in fig. 2, when the WinSCP software synchronously copies the fault recording files generated in a plurality of designated folders in the fault recording file storage server 1 to the recording file storage folder in real time, the method is implemented through the following steps 1 to 8:
step 1, starting WinSCP software, and loading WinSCP script files written by WinSCP instructions in advance.
And 2, acquiring the network address of the fault recording file storage server 1 by the WinSCP script file.
The purpose of acquiring the network address of the fault recording file storage server 1 by the WinSCP script file is as follows: enabling WinSCP software to identify from which device the data was obtained.
And 3, acquiring the attribute information of a plurality of designated folders on the fault recording file storage server 1 by the WinSCP script file.
The attribute information of the designated folder is the name, storage path and the like of the designated folder. The purpose of acquiring the attribute information of a plurality of designated folders by the WinSCP script file is as follows: so that the WinSCP software can identify the data in which folders in the synchronous copy fault recording file storage server 1.
And 4, acquiring the attribute information of a wave recording file storage folder pre-established on the analysis processing platform 4 by the WinSCP script file.
The attribute information of the recording file storage folder is the name, storage path and the like of the recording file storage folder. The purpose of acquiring the attribute information of the recording file storage folder by the WinSCP script file is as follows: the WinSCP software is enabled to know where to store the synchronously replicated data in the memory of the analysis processing platform 4.
And step 5, the WinSCP script file establishes a synchronous connection relation between the plurality of specified folders and the wave recording file storage folder according to the network address of the fault wave recording file storage server 1, the attribute information of the plurality of specified folders and the attribute information of the wave recording file storage folder.
Step 6, the WinSCP script file detects whether a new fault recording file is generated in any one appointed folder; if any one of the designated folders has a new fault recording file generated, executing step 7; and if no new fault recording file is generated in the plurality of specified folders, returning to the step 2.
And 7, reading the WinSCP script file and copying the new fault recording file into a recording file storage folder.
Step 8, judging whether the exit operation of the user on WinSCP software is detected by the WinSCP script file; if the user is detected to quit the WinSCP software, the process is ended; and if the user exit operation on the WinSCP software is not detected, returning to the step 2.
As shown in fig. 3, when the fault recording file analysis software analyzes the fault recording files synchronized in the recording file storage folder, the method includes the following steps S1 to S11:
and S1, starting the fault recording file analysis software, and performing parameter pre-reading and interface updating on the fault recording file analysis software.
The purpose of the fault recording file analysis software for parameter pre-reading and interface updating is as follows: the fault recording file analysis software can be ensured to run normally, and a normal working interface can be provided for a user to use.
S2, the fault recording file analysis software determines whether to analyze manually or automatically; if it is a manual analysis, performing S3 to S5; if it is the automatic analysis, S6 to S11 are performed.
And S3, loading the fault recording file manually selected by the user in the recording file storage folder by the fault recording file analysis software, and analyzing the fault recording file manually selected by the user through a fault diagnosis algorithm in the fault recording file analysis software. S4, judging whether the fault recording file manually selected by the user is abnormal by the fault recording file analysis software, and executing S5 if the fault recording file is abnormal; if no exceptions exist, the flow ends. And S5, outputting an alarm signal by the fault recording file analysis software.
And S6, starting a timing task by the fault recording file analysis software, and detecting whether a new fault recording file is acquired from the recording file storage folder once every preset time. S7, judging whether a new fault recording file is acquired within any preset time by the fault recording file analysis software; if a new fault recording file is acquired within any preset time, executing S8; and if the new fault recording file is not acquired within any preset time, returning to the step S6. And S8, the fault recording file analysis software prompts that a new fault recording file exists, loads the new fault recording file, and analyzes the new fault recording file through a fault diagnosis algorithm in the fault recording file analysis software. S9, judging whether the new fault recording file is abnormal or not by the fault recording file analysis software, if so, executing S10, and if not, returning to S6; and S10, outputting an alarm signal by the fault recording file analysis software. S11, the fault recording file analysis software judges whether the operation of suspending operation is detected, if the operation of suspending operation is detected, the flow is ended; if the operation of suspending the operation is not detected, return is made to S6.
The preset time in the timing task can be 1s, 5s and the like, and the specific duration can be set according to needs. Certainly, the shorter the preset time is set, the more timely the new fault recording file is acquired from the recording file storage folder, so that the more timely the fault recording file analysis software can analyze the new fault recording file, and the more convenient the real-time detection of whether the primary equipment fails.
From the above contents, the fault recording file analysis software provided by the invention has the functions of manually selecting the fault recording file for analysis and automatically selecting the new fault recording file synchronized in the recording file storage folder for analysis. When the latest fault recording file is automatically selected for analysis, the timing task of the fault recording file analysis software is preferably 1s, so that whether a new fault recording file is copied into a recording file storage folder is checked every 1 s. If a new fault recording file is generated, after the file copying is finished, the copied new fault recording files are analyzed one by one, so that the function of quasi-real-time analysis of the fault recording files is realized, and the analysis result can be informed to field operators.
The fault diagnosis algorithm described in this embodiment includes the following steps a to D:
and step A, training the RBF neural network by adopting a net receiving algorithm according to historical waveform data in a historical fault recording file recorded by a fault recording device so as to determine model parameters of the RBF neural network, wherein the model parameters comprise the center, the weight and the width of the RBF neural network.
And step B, acquiring current waveform data according to a fault recording file recorded by the fault recording device, and extracting characteristic quantities of the current waveform data, wherein the extracted characteristic quantities comprise time domain characteristic quantities and frequency domain characteristic quantities. The current waveform data is waveform data in a fault recording file manually selected by a user or waveform data in a new fault recording file acquired from a recording file storage folder.
And step C, performing normalization processing on the extracted characteristic quantity.
And D, inputting the characteristic quantity after the normalization processing into the trained RBF neural network, and diagnosing whether the primary equipment of the transformer substation fails according to the output result of the trained RBF neural network. The primary equipment of the transformer substation can be equipment such as an alternating current filter of the transformer substation.
The time domain characteristic quantity comprises the opening and closing time T of a circuit breaker of the transformer substation and the current maximum value I recorded in the waveform when the alternating current filter opens and closesmaxAnd minimum value of current IminAnd a three-phase matching degree gamma; wherein:
T=max(TA,TB,TC) (1)
in the formula (1), TA、TBAnd TCThe switching-on and switching-off time of three phases of the alternating current filter A, B, C is respectively;
in the formula (2), ia、ibAnd icRespectively representing the instantaneous values of the three-phase-shifted currents, I, of the AC filter A, B, Ca、IbAnd IcRespectively, the current amplitudes of the three phases of the ac filter A, B, C, and d represents the waveform of the d-th cycle in the waveform data.
The frequency domain characteristic quantity comprises a maximum value I of harmonic of zero sequence currentH,maxHarmonic content delta and total harmonic distortion rate K of zero sequence current of alternating current filter circuit breakerTHD(ii) a Wherein:
in equation (3): i isH,eIs the effective value of the e-harmonic wave, IrIs the rated current of the corresponding alternating current filter bank;
in the formula (5), IH,nRepresenting the effective value of the nth harmonic.
When determining the model parameters of the RBF neural network, the step A comprises the following steps a to e:
step a, extracting characteristic quantities of M groups of historical waveform data recorded by a fault recording device when an alternating current filter of a transformer substation is switched to obtain seven characteristic quantities including time domain characteristic quantity and frequency domain characteristic quantity, marking abnormal states of the M groups of historical waveform data to obtain state values, and combining the seven characteristic quantities and one state value into an initial training data set SM×8Wherein, the time domain characteristic quantity comprises the opening and closing time T of the circuit breaker and the current maximum value I recorded in the waveform when the alternating current filter opens and closesmaxAnd minimum value of current IminAnd three-phase matching degree gamma, frequency domain characteristic quantity including zero sequence current harmonic maximum value IH,maxHarmonic content delta and total harmonic distortion rate K of zero sequence current of alternating current filter circuit breakerTHD
Step b, for the initial training data set SM×8The seven characteristic quantities in the sequence are normalized to form a standard training data set S'M×8
Step C, determining the number z of hidden layers of the RBF neural network and the development coefficient C of the network receiving algorithm, and determining the node number A of the network receiving algorithm according to the number z of the hidden layers and the characteristic quantity, wherein:
A=2(7×z+2×z)y (7);
in the formula (6), K represents the total iteration number, K represents the kth iteration, and e represents a natural constant; in the formula (7), y represents the number of nodes selected by each hyperplane;
step d, determining that the target function of the RBF neural network is the following formula (8), determining that the iterative updating formula of the net collecting algorithm is the following formula (9), and selecting a standard training data set S'M×8The RBF neural network is subjected to parameter identification through H data by a net collecting algorithm with preset development coefficients and iteration times to obtain a center T of the RBF neural networkiWeight WiAnd width σi
In formula (8), y (j) represents an actual output value of the jth iteration, S '(j, m) represents an input value of the jth iteration, and S' (j,8) represents an input value of the 8 th iteration; in formula (9), X(k)Represents the node position in the k-th iteration, X: (k+1) Represents the node position, X, at the k +1 th iterationbestIndicating the optimal node location, ξ, occurring in the search history(k)And ζ(k)Respectively represent [0, 1]A random number in between;
step e, using the state value in the H pieces of data as a reference, and using the step d to determine the center TiWeight WiAnd width σiThe accuracy of the RBF neural network is calculated for 100 values by stepping 0.01 from 0 to 1 each time, and the value with the highest accuracy is selected as a standard threshold.
Optionally, when the step D diagnoses whether the primary equipment of the substation fails according to the output result of the trained RBF neural network, the specific method is as follows: when the output result of the trained RBF neural network is greater than a standard threshold value, determining that primary equipment fails; and when the output result of the trained RBF neural network is not greater than the standard threshold, determining that the primary equipment has no fault.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.

Claims (2)

1. A quasi-real-time fault recording file reading and analyzing system is characterized by comprising a plurality of fault recording devices (2), a fault recording file storage server (1), a switch (3) and an analysis processing platform (4); the plurality of fault recording devices (2) are connected with the fault recording file storage server (1), and the analysis processing platform (4) is connected with the fault recording file storage server (1) through the switch (3);
WinSCP software and fault recording file analysis software are installed on the analysis processing platform (4), and a recording file storage folder is pre-established in a memory of the analysis processing platform (4); the WinSCP software is used for connecting the fault recording file storage server (1) through a WinSCP script file and synchronously copying fault recording files generated in a plurality of designated folders in the fault recording file storage server (1) to a recording file storage folder in real time; the fault recording file analysis software is used for analyzing the synchronous fault recording files in the recording file storage folder;
when the fault recording file analysis software analyzes the fault recording file synchronized in the recording file storage folder, the method comprises the following steps:
s1, starting fault recording file analysis software, and performing parameter pre-reading and interface updating on the fault recording file analysis software;
s2, the fault recording file analysis software determines whether to analyze manually or automatically; if it is a manual analysis, performing S3 to S5; if it is the automatic analysis, performing S6 to S11;
s3, loading the fault recording file manually selected by the user in the recording file storage folder by the fault recording file analysis software, and analyzing the fault recording file manually selected by the user through a fault diagnosis algorithm in the fault recording file analysis software; s4, judging whether the fault recording file manually selected by the user is abnormal by the fault recording file analysis software, and executing S5 if the fault recording file is abnormal; if no abnormity exists, the process is ended; s5, outputting an alarm signal by the fault recording file analysis software;
s6, starting a timing task by the fault recording file analysis software, and detecting whether a new fault recording file is acquired from a recording file storage folder once every preset time; s7, judging whether a new fault recording file is acquired within any preset time by the fault recording file analysis software; if a new fault recording file is acquired within any preset time, executing S8; if the new fault recording file is not acquired within any preset time, returning to the step S6; s8, the fault recording file analysis software prompts that a new fault recording file exists, loads the new fault recording file, and analyzes the new fault recording file through a fault diagnosis algorithm in the fault recording file analysis software; s9, judging whether the new fault recording file is abnormal or not by the fault recording file analysis software, if so, executing S10, and if not, returning to S6; s10, outputting an alarm signal by the fault recording file analysis software; s11, the fault recording file analysis software judges whether the operation of suspending operation is detected, if the operation of suspending operation is detected, the flow is ended; if the operation of suspending the operation is not detected, return is made to S6.
2. The system for reading and analyzing the quasi-real-time fault recording file according to claim 1, wherein the WinSCP software synchronously copies the fault recording files generated in a plurality of designated folders in the fault recording file storage server (1) to the recording file storage folder in real time, and comprises the following steps:
step 1, starting WinSCP software, and loading a WinSCP script file which is written by a WinSCP instruction in advance;
step 2, the WinSCP script file acquires a network address of a fault recording file storage server (1);
step 3, acquiring attribute information of a plurality of designated folders on a fault recording file storage server (1) by a WinSCP script file;
step 4, acquiring attribute information of a wave recording file storage folder pre-established on the analysis processing platform (4) by the WinSCP script file;
step 5, the WinSCP script file establishes a synchronous connection relation between a plurality of specified folders and the wave recording file storage folder according to the network address of the fault wave recording file storage server (1), the attribute information of the specified folders and the attribute information of the wave recording file storage folder;
step 6, the WinSCP script file detects whether a new fault recording file is generated in any one appointed folder; if any one of the designated folders has a new fault recording file generated, executing step 7; if no new fault recording file is generated in the plurality of appointed folders, returning to the step 2;
step 7, reading the WinSCP script file and copying a new fault recording file into a recording file storage folder;
step 8, judging whether the exit operation of the user on WinSCP software is detected by the WinSCP script file; if the user is detected to quit the WinSCP software, the process is ended; and if the user exit operation on the WinSCP software is not detected, returning to the step 2.
CN201711133684.2A 2017-11-16 2017-11-16 Quasi-real-time fault recording file reading and analyzing system Active CN107909035B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711133684.2A CN107909035B (en) 2017-11-16 2017-11-16 Quasi-real-time fault recording file reading and analyzing system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711133684.2A CN107909035B (en) 2017-11-16 2017-11-16 Quasi-real-time fault recording file reading and analyzing system

Publications (2)

Publication Number Publication Date
CN107909035A CN107909035A (en) 2018-04-13
CN107909035B true CN107909035B (en) 2021-05-28

Family

ID=61844353

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711133684.2A Active CN107909035B (en) 2017-11-16 2017-11-16 Quasi-real-time fault recording file reading and analyzing system

Country Status (1)

Country Link
CN (1) CN107909035B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107992665B (en) * 2017-11-27 2021-05-07 国家电网公司 Online fault diagnosis and analysis method for alternating current filter of extra-high voltage converter station
CN109491976A (en) * 2018-11-23 2019-03-19 郑州云海信息技术有限公司 A kind of storing data analytic method, device and relevant device

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101551440A (en) * 2009-05-15 2009-10-07 东北大学 Generator transformer unit faults recorder analysis device
CN102761174A (en) * 2012-07-30 2012-10-31 山东电力集团公司青岛供电公司 Fault intelligent diagnosis and analysis system and method based on dispatching integrated data platform
CN103051060A (en) * 2012-12-19 2013-04-17 南京南瑞继保电气有限公司 Method for collecting and remotely transmitting fault recording file
CN105528275A (en) * 2015-12-04 2016-04-27 广东电网有限责任公司信息中心 Database safety inspection method
CN106655490A (en) * 2016-10-19 2017-05-10 国网浙江省电力公司温州供电公司 A fault recording data fusion system based on multiple substations

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7676695B2 (en) * 2007-06-05 2010-03-09 Compuware Corporation Resolution of computer operations problems using fault trend analysis
CN103856966B (en) * 2012-11-28 2017-06-09 华为技术有限公司 The localization method and device of remote wireless network failure

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101551440A (en) * 2009-05-15 2009-10-07 东北大学 Generator transformer unit faults recorder analysis device
CN102761174A (en) * 2012-07-30 2012-10-31 山东电力集团公司青岛供电公司 Fault intelligent diagnosis and analysis system and method based on dispatching integrated data platform
CN103051060A (en) * 2012-12-19 2013-04-17 南京南瑞继保电气有限公司 Method for collecting and remotely transmitting fault recording file
CN105528275A (en) * 2015-12-04 2016-04-27 广东电网有限责任公司信息中心 Database safety inspection method
CN106655490A (en) * 2016-10-19 2017-05-10 国网浙江省电力公司温州供电公司 A fault recording data fusion system based on multiple substations

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
A Guide To Digital Fault Recording Event Analysis;Joe Perez等;《2010 63rd Annual Conference for Protective Relay Engineers》;20100520;第1-17页 *
便携式电力变压器振动监测与故障诊断系统的研究与实现;吴迪;《中国优秀硕士学位论文全文数据库 工程科技II辑》;20170815(第08期);第C042-178页 *
基于大数据的食品安全事件的研究;王翠;《中国优秀硕士学位论文全文数据库 工程科技I辑》;20170715(第07期);正文第34页 *
故障录波数据统一管理分析平台的设计与实现;闫荣艳;《江苏电机工程》;20090131;第28卷(第1期);第5-8页 *

Also Published As

Publication number Publication date
CN107909035A (en) 2018-04-13

Similar Documents

Publication Publication Date Title
Kezunovic et al. A novel software implementation concept for power quality study
CN107909035B (en) Quasi-real-time fault recording file reading and analyzing system
JP2007524092A (en) High impedance leakage detection
CN104181412B (en) Arc-detection
CN106649020A (en) Detecting method and device for storage case burn information
CN107276066A (en) Method and system for analyzing the waveform in power system
WO2011156799A2 (en) Detecting state estimation network model data errors
Kamiński et al. Rotor fault detector of the converter-fed induction motor based on RBF neural network
Guo et al. Wavelet-transform based early detection method for short-circuit faults in power distribution networks
CN110146743A (en) A kind of area's phase recognition methods
CN104091056B (en) A kind of laboratory equipment life forecast system and method
Valsan et al. Fault detection and classification logic for transmission lines using multi-resolution wavelet analysis
KR20130035766A (en) System for analyzing failure of hvdc
Wilson et al. Automated identification of electrical disturbance waveforms within an operational smart power grid
Núñez et al. Feature analysis and automatic classification of short‐circuit faults resulting from external causes
Núñez et al. Feature characterization of power quality events according to their underlying causes
Kezunovic Automated analysis of voltage sags, their causes and impacts
CN107992665B (en) Online fault diagnosis and analysis method for alternating current filter of extra-high voltage converter station
CN105098984A (en) Scheduling fault recording management system communication abnormity troubleshooting method
CN108572895B (en) Stability test method for automatically checking software and hardware configuration under Linux
CN207352149U (en) A kind of full-automatic loop detector of fault detector
US10564204B2 (en) Method and system for diagnostics and monitoring of electric machines
CN108594062A (en) A kind of the shorted-turn fault localization method and system of feature based wave-form similarity
Bhandia et al. Improved grid reliability by robust distortion detection and classification algorithm
Bhandia et al. High impedance fault detection in real-time and evaluation using hardware-in-loop testing

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant