CN102841296A - Online monitoring system and method for partial discharge of intelligent switch cabinet based on ultra-high frequency detection - Google Patents

Online monitoring system and method for partial discharge of intelligent switch cabinet based on ultra-high frequency detection Download PDF

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Publication number
CN102841296A
CN102841296A CN2012103315269A CN201210331526A CN102841296A CN 102841296 A CN102841296 A CN 102841296A CN 2012103315269 A CN2012103315269 A CN 2012103315269A CN 201210331526 A CN201210331526 A CN 201210331526A CN 102841296 A CN102841296 A CN 102841296A
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signal
frequency
unit
circuit
discharge
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CN2012103315269A
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CN102841296B (en
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曾庆军
申成兵
王彪
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江苏科技大学
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Abstract

The invention discloses an online monitoring system and a method for partial discharge of an intelligent switch cabinet based on ultra-high frequency detection. The online monitoring system comprises a sensor unit, a signal conditioning unit, a MCU (Micro Control Unit) unit, a communication unit, a system power supply and an upper machine monitoring unit. The online monitoring method comprises the following steps that: the sensor unit finishes collection of partial discharge signals in the switch cabinet; the signal conditioning unit realizes amplification, filtering, frequency reduction and bias of the signals, thus obtaining signals which can be converted by an ADC (Analog to Digital Converter) module in a DSP (Digital Signal Processor); the MCU unit realizes analysis and procession of the signals; and data are uploaded to an upper machine in a monitoring room through an Ethernet. According to the online monitoring system and the method for the partial discharge of the intelligent switch cabinet based on the ultra-high frequency detection disclosed by the invention, collection and procession of high-frequency signals conducted by the DSP are realized by adopting a frequency spectrum shifting technology; a time-frequency analysis technology and a mode identification theory are applied to the monitoring system, therefore, the monitoring system is functional in fault diagnosis; and in addition, an IEC61850 standard is adopted by the system, consequently, management of various IEDs (Intelligent Electronic Devices) and interconnecting as well as networking of equipment in a transformer substation are convenient.

Description

Intelligent switchboard partial discharge monitoring system and method based on the ultrahigh frequency detection

Technical field

The present invention relates to a kind of high voltage electric power equip ment partial discharge monitoring system and operation and method for diagnosing faults, be specially adapted to the on-line monitoring and the fault diagnosis of the high-frequency local discharging signal of intelligent substation high-tension switch cabinet.

Background technology

Along with the development of national intelligent grid technology,, become an important indicator weighing the electrical network reliability service to the real-time state monitoring and the fault diagnosis of transformer station's main equipment key position.High-tension switch cabinet is the pith of intelligent substation; Through developing a kind of suitable high-tension switch cabinet partial discharge monitoring system; Local discharge scenario and the insulating property of monitoring major equipment are grasped the equipment operation situation in real time, in time find potential faults, take measures to overhaul and handle; Avoid accident further to enlarge, to ensureing that electric power netting safe running has far-reaching theory significance and wide practical value.

Current, regular preventive trial and maintenance are mainly taked in the monitoring and the maintenance of domestic insulating property to electrical equipment, to reducing and preventing playing a good role of accident.But preventive trial is an off-line to carry out; Need to have a power failure and make an experiment; The back equipment state that has a power failure (like effect voltage, temperature etc.) is not inconsistent the accuracy that influence is judged, moreover many important power equipments with in service; Easily can not be out of service, this brings inconvenience for the test and the maintenance of power equipment.Nowadays, though some portable discharging detection devices have overcome the deficiency of the test maintenance that has a power failure, its monitoring mode is not continuous real-time monitoring, and insulation still possibly broken down in the phase at maintenance interval, has reduced the accuracy that detects.

Application number is called " based on the switch cubicle shelf depreciation supersonic detection device of wireless network " for " 201110104114.7 " name and application number is called " based on ultrasonic auxiliary live testing apparatus for local discharge " for " 200610129824.4 " name; All be to gather local discharge signal through sonac; Through A/D conversion the analog signal conversion of gathering is become digital signal, reach the Control Room host computer at last and carry out digital signal processing and obtain discharge information.The ultrasound examination antijamming capability is stronger, detect frequency band and mainly concentrate on 20kHz~220kHz, and the frequency range that local discharge signal produces is extremely wide, and high-frequency signal can reach tens GHz, the narrower spectrum analysis that is unfavorable for discharge signal of ultrasound examination scope.Moreover above-mentioned two pick-up unit all is to carry out data processing at the Control Room host computer, can not show discharge information on the spot, is unfavorable for the maintenance and the maintenance of field service personnel.

Summary of the invention

The object of the present invention is to provide a kind of intelligent switchboard partial discharge monitoring system and method that detects based on ultrahigh frequency; Overcome the defective and the deficiency of prior art; Improve the accuracy of switch cubicle insulating monitoring; The present invention is based on ultrahigh frequency (UHF) and detect shelf depreciation, the detection frequency bandwidth is 300kHz~1200kHz.Native system has functions such as showing discharge information, communication, warning and fault diagnosis on the spot, and ipc monitor adopts programming software can realize the computing of complicated algorithm and can show discharge information and fault data intuitively.

The object of the invention is achieved through following technical scheme:

A kind of intelligent switchboard partial discharge monitoring system that detects based on ultrahigh frequency comprises sensor unit, signal condition unit, MCU unit, communication unit, system power supply and ipc monitor unit; Wherein, the sensor unit input end links to each other with the input end of signal condition unit; The output terminal of signal condition unit links to each other with the MCU unit; The MCU unit links to each other with the ipc monitor unit through communication unit and accomplishes two-way communication; System power supply is that sensor unit, signal condition unit, MCU unit and communication unit provide power supply.

A kind of monitoring method of the intelligent switchboard partial discharge monitoring system that detects based on ultrahigh frequency is following:

The high frequency electromagnetic wave signal that shelf depreciation produces in the uhf sensor receiving key cabinet in the sensor unit converts electromagnetic wave signal to the micro voltage signal and delivers to amplifying circuit; Amplifying circuit amplifies the micro voltage signal, and the signal after will amplifying is sent to the signal condition unit;

The signal condition unit comprises front end amplification filtering circuit, frequency spectrum shift circuit and biasing circuit; Signal after the amplification is accomplished high-frequency signal conversion to low frequency signal with filtered signal through the frequency spectrum shift circuit through filter amplification circuit filtering; Biasing obtains final output signal through biasing circuit with the signal after the spectrum transformation;

The MCU unit adopts digital signal processor, and the A/D module in the digital signal processor is carried out analog to digital conversion to final output signal, and the signal after the analog to digital conversion is removed undesired signal through FIR wave filter digital filtering again; Change frequency-region signal through the signal of Short Time Fourier Transform after into by time-domain signal with FIR wave filter digital filtering, and then the frequency spectrum shift of realizing software promptly on axle frequently to each frequency component translation, recover the frequency spectrum that former discharge signal is an electromagnetic wave signal; The type of discharge signal is diagnosed in the characteristic parameter pattern-recognition of each electric discharge type that extracts the characteristic parameter of the spectrum signal after the recovery and under experiment condition, draw; At last, counting frequency number of times and the parameter of amplitude that discharge takes place, the parameter of all strength of discharges is sent to the Control Room host computer, when discharge scenario is serious, sending the sound and light alarm signal as the sign strength of discharge.

The object of the invention can also further realize through following technical measures:

The aforementioned intelligent switchboard partial discharge monitoring system that detects based on ultrahigh frequency, wherein sensor unit comprises uhf sensor and signal amplification circuit; Said uhf sensor receives the frequency electromagnetic waves of local discharge generation, converts local discharge signal to the micro voltage signal; Signal amplification circuit is accomplished the amplification of micro voltage signal, and the voltage signal after will amplifying is sent to the signal condition unit.

The aforementioned intelligent switchboard partial discharge monitoring system that detects based on ultrahigh frequency, wherein the signal condition unit comprises front end amplification filtering circuit, frequency spectrum shift circuit, rear end filtering circuit and biasing circuit; Said amplification filtering circuit adopts the bandpass filtering of band gain to accomplish the amplification and the filtering of signal; The frequency spectrum shift circuit is realized the conversion of signal frequency from the high frequency to the low frequency; Biasing circuit is realized the biasing of signal, makes output voltage of signals scope meet the requirement of MCU unit input end, supplies the realization that A/D changes in the MCU unit.

The aforementioned intelligent switchboard partial discharge monitoring system that detects based on ultrahigh frequency, wherein the MCU unit is made up of digital signal processing processor, keyboard-display circuit and clock warning circuit; The digital signal processing processor is accomplished sample conversion, computing and the data storage of discharge signal, and communicates by letter with host computer by the communication protocol of appointment; Keyboard-display circuit is realized the demonstration and the parameter setting of discharge information; Clock circuit is that digital signal processor provides clock reference, has the power-down data protection function, and warning circuit produces alerting signal under equipment failure state.

The monitoring method of the aforementioned intelligent switchboard partial discharge monitoring system that detects based on ultrahigh frequency, wherein the method for frequency spectrum shift is that its concrete steps are following with two signal multiplications:

Input signal does

u i(t)=U Icosw it

In the formula, U IBe applied signal voltage amplitude, w iAngular frequency for input signal.

Local oscillation signal does

u l(t)=U Lcosw lt

In the formula, U LBe local oscillation signal voltage magnitude, w lAngular frequency for local oscillation signal.

Multiply each other to such an extent that the output signal does

u o ( t ) = u i ( t ) × u l ( t ) = U I cos w i t × U L cos w l t

= 1 2 U I U L cos [ ( w i - w l ) t + ( w i + w l ) t ]

High-frequency signal (w with multiplier output i+ w l) filter with BPF., promptly realize down coversion.

The method of said diagnosis discharge is following:

Comprise P kind template mode in the model storehouse, promptly P vector as model constituted model proper vector group

M={M 1M 2…M p…M P}

Wherein, P is the species number of template mode, M 1M 2M pM PBe the vector in the Vector Groups.

Each vector M wherein p(p=1,2 ..., P) include I element;

M p=[m 1pm 2p…m ip…m IP] T

Wherein, m 1pm 2pM IpM IPBe vector M pElement.

The vector that the characteristic parameter that is taken out by data to be checked forms is called pattern to be checked, and its vector to be checked is:

X=[x 1x 2…x i…x I] T

Wherein, x 1x 2X iX IElement for vectorial X to be checked.

Define pattern X to be checked to model M pDistance be:

d p = 1 I Σ i = 0 I [ w ip ( x i - m ip ) ]

W in the formula IpBe weight coefficient, be used for adjustable range, to each template mode M p(p=1,2 ..., P), calculate vectorial X to be checked and model vector M p(p=1,2 ..., P) apart from d p, find out minimum d p=d Min, pattern to be checked is classified as the p quasi-mode;

Degree of the conforming to crd of pattern to be checked and P sample mode p=crs p/ I, crs in the formula p(number conforms to several crs in order to conform to pBe each element of vectorial X to be checked and M pThe absolute value of middle respective element difference satisfies condition | x i-m Ip|≤d MinElement number); Reliability is:

idar = crd max - crd sec crd max

Crd in the formula MaxBe maximum degree of conforming to, crd SecBe inferior degree of conforming to greatly.

Compared with prior art, the invention has the beneficial effects as follows:

1. with the on-line monitoring system of frequency spectrum shift circuit application in high-tension switch cabinet ultrahigh frequency (UHF) shelf depreciation; Solved the problem that A/D converter is difficult to gather high-frequency signal; Widened the frequency band range that ultrahigh frequency (UHF) detects; Kept more discharge information, more multiparameter is provided to fault analysis.

2. adopting Ethernet is main communication, and RS485 is the communication mode of spare communication, and communication protocol adopts the electric substation automation system network communication platform IEC61850 standard of international uniform, is convenient to the management of various IED in the transformer station and the interconnected and networking of equipment room.

3. feature extraction, pattern-recognition scheduling algorithm and spectrum analysis technique are applied to the monitoring system of discharging, for fault diagnosis provides theoretical foundation; Monitor supervision platform divides on-line monitoring and off-line data to analyze two kinds of running statuses, and operation conditions that can real time record equipment provides trend-analysis curves, and under off-line state, can make analysis to historical data, for the maintenance of equipment provides data refer.

4. the ipc monitor platform has good interpersonal communication interface; Simple to operate; Each parameter that can show discharge information intuitively provides two-dimentional spectrogram, 3-D display spectrogram and the historical trend analysis chart of discharge, and has functions such as off-line historical data analysis and recording unit ruuning situation; When equipment failure, send alerting signal.

Description of drawings

Fig. 1 is an application system synoptic diagram of the present invention;

Fig. 2 is a circuit composition frame chart of the present invention;

Fig. 3 is the schematic diagram of frequency spectrum shift circuit;

The arrangenent diagram of Fig. 4 high-tension switch cabinet inner sensor and monitoring device;

Fig. 5 is the process flow diagram of fault diagnosis of the present invention;

Fig. 6 is that monitor supervision platform functional module of the present invention is formed synoptic diagram;

Fig. 7 is a workflow diagram of the present invention.

Embodiment

Below in conjunction with accompanying drawing and specific embodiment the present invention is described further.

This monitoring system comprises sensor unit 1, signal condition unit 2, MCU unit 3, communication unit 4, system power supply 5 and ipc monitor unit 6; Wherein, sensor unit 1 input end links to each other with the input end of signal condition unit 2; The output terminal of signal condition unit 2 links to each other with MCU unit 3; The MCU unit links to each other with ipc monitor unit 6 through communication unit 4 and accomplishes two-way communication; System power supply 5 provides power supply for sensor unit 1, signal condition unit 2, MCU unit 3 and communication unit 4.The function of the realization of each unit is specific as follows:

Sensor unit 1 comprises uhf sensor and signal amplification circuit; Wherein, uhf sensor receives the frequency electromagnetic waves of local discharge generation, converts local discharge signal to the micro voltage signal; Signal amplification circuit is accomplished the amplification of micro voltage signal, and the voltage signal after will amplifying is sent to signal condition unit 2.

Signal condition unit 2 comprises front end amplification filtering circuit, frequency spectrum shift circuit, rear end filtering circuit and biasing circuit; Wherein, the amplification filtering circuit adopts the bandpass filtering of band gain to accomplish the amplification and the filtering of signal; The frequency spectrum shift circuit is realized the conversion of signal frequency from the high frequency to the low frequency; Biasing circuit is realized the biasing of signal, makes output voltage of signals scope meet the requirement of MCU unit 3 input ends, supplies the realization that A/D changes in the MCU unit 3.

MCU unit 3 mainly contains digital signal processing processor (DSP), keyboard-display circuit and clock warning circuit and forms; DSP accomplishes sample conversion, computing and the data storage of discharge signal, and communicates by letter with host computer by the communication protocol of appointment; Keyboard-display circuit is realized the demonstration and the parameter setting of discharge information; Clock circuit is that DSP provides clock reference, has the power-down data protection function, and warning circuit produces alerting signal under equipment failure state.

Adopt the light-coupled isolation chip that circuit is protected in the communication unit 4, accomplish the conversion of signal of communication level by the transition of communications chip;

System power supply 5 provides power supply for sensor unit 1, signal condition unit 2, MCU unit 3 and communication unit 4.

Analysis, the processing that slave computers transmit data accomplished in ipc monitor unit 6, with the mode of figure each monitoring variable intuitively shown, and carries out Fault Identification, provides fault diagnosis result, when discharge scenario is serious, sends alerting signal.

The operational process principle of this monitoring system is following:

The high frequency electromagnetic wave signal that shelf depreciation produces in the uhf sensor receiving key cabinet in the sensor unit converts electromagnetic wave signal to the micro voltage signal and delivers to amplifying circuit; Amplifying circuit amplifies the micro voltage signal, and transmits signals to the signal condition unit.

The signal condition unit comprises amplification filtering circuit, frequency spectrum shift circuit and biasing circuit.The electromagnetic wave signal frequency band broad that local discharge signal produces, and also there are a large amount of electromagnetic interference signals in on-the-spot environment, the bandpass filtering that filter amplification circuit adopts band to gain, the signal of reserved bandwidth 300kHz~1200kHz.High-frequency signal is unfavorable for the sampling of A/D converter, and the frequency spectrum shift circuit is accomplished the conversion of high-frequency signal to low frequency signal; Biasing circuit is realized the additive operation of circuit, final output signal is changed into the voltage signal of the 0-3V of the ADC module requirement that meets among the DSP.

The core circuit of MCU unit is digital signal processor (DSP); Signal after A/D module among the DSP is nursed one's health shelf depreciation carries out analog to digital conversion; Make analog voltage signal convert the manageable digital signal of DSP to; Again through FIR wave filter digital filtering, further filtering undesired signal wherein.Realize signal is carried out Short Time Fourier Transform (STFT) by DSP, change time-domain signal into frequency-region signal, and then realize the frequency spectrum shift of software, promptly on axle frequently to each frequency component translation, recover the frequency spectrum of former discharge signal.Spectrum signal is analyzed, extracted characteristic parameter wherein and the characteristic parameter pattern-recognition of each electric discharge type of under experiment condition, drawing, diagnose the type of discharge signal.At last; Frequency number of times that counting discharges takes place and amplitude have the parameter of LCDs demonstration discharge information as the parameter that characterizes strength of discharge, and all discharge parameters are sent to the Control Room host computer; When discharge scenario is serious, send the sound and light alarm signal.The peripheral expansion of DSP has clock power down protection circuit, can regulate clock and check historical record data through button, makes things convenient for the staff to grasp the equipment operation situation.

Slave computer MCU cell processing is limited in one's ability, can not be to the discharge signal labor, and discharge parameter that slave computer draws and original discharge signal will upload to host computer and do the labor processing.The data volume of considering transmission is convenient to networking than big and each monitoring modular; It is main communication mode that this monitoring system adopts Ethernet, leaves the RS485 port simultaneously as the spare communication mode, and the speed of RS485 communication is lower; Only transmit discharge information, do not transmit original discharge signal.Communication protocol adopts the electric substation automation system network communication platform IEC61850 standard of international uniform, is convenient to the management of various IED in the transformer station and the interconnected and networking of equipment room.

The reception that slave computer transmits data is accomplished in the ipc monitor unit, original discharge signal is made detail analysis, feature extraction; The all types of discharge characteristic that draws with statistics under experiment condition carries out Fault Identification; Make decisions, provide fault diagnosis result, and to historical discharge curve analysis; When discharge scenario is serious, send alerting signal.The ipc monitor platform has good interpersonal communication interface; Each parameter that can show discharge information intuitively; Two-dimentional spectrogram, 3-D display spectrogram and the historical trend analysis chart of discharge are provided, and have functions such as off-line historical data analysis and recording unit ruuning situation.

As shown in Figure 1, this monitoring system comprises sensor unit 1, signal condition unit 2, MCU unit 3, communication unit 4 and system power supply 5 and ipc monitor unit 6; Wherein, sensor unit 1 input end links to each other with the input end of signal condition unit 2; The output terminal of signal condition unit 2 links to each other with MCU unit 3; MCU unit 3 links to each other through communication unit 4 ipc monitor unit 6 and accomplishes two-way communication; System power supply 5 provides power supply for sensor unit, signal condition unit and MCU unit.

As shown in Figure 2, each ingredient and the connection of the hardware circuit of monitoring system.The high frequency electromagnetic wave signal that shelf depreciation produces in the uhf sensor receiving key cabinet converts electromagnetic wave signal to the micro voltage signal and delivers to amplifying circuit; Amplifying circuit amplifies the micro voltage signal, and transmits signals to the front-end filtering amplifying circuit; The front-end filtering amplifying circuit adopts the bandpass filtering of band gain, the signal of reserved bandwidth 300kHz~1200kHz; The frequency spectrum shift circuit mainly contains analog multiplier to be formed, and realizes the down coversion of signal; Biasing circuit is realized the additive operation of circuit, final output signal is changed into the voltage signal of the 0-3V of the ADC module requirement that meets among the DSP.Adopt the light-coupled isolation chip that circuit is protected in the telecommunication circuit, the transition of communications chip is accomplished the conversion of signal of communication level; Keyboard, display circuit can make things convenient for the staff to check discharge information and parameter setting; Clock circuit is that DSP provides clock reference, has the power-down data protection function, and warning circuit is reported to the police under equipment failure state, prompting staff's overhaul of the equipments and fault handling.

As shown in Figure 3, the frequency spectrum shift circuit is made up of multiplier and BPF., accomplishes the conversion of high-frequency signal to low frequency signal; In the frequency conversion process; The spectrum structure of input signal does not change, and each frequency component relative position, relative size do not change before and after moving, and just on axle frequently, carries out distortionlessly simply moving; The basic skills that realizes frequency spectrum shift is that its concrete steps are following with two signal multiplications:

If input signal

u i(t)=U Icosw it

Local oscillation signal

u l(t)=U Lcosw lt

Multiply each other

u o ( t ) = u i ( t ) × u l ( t ) = U I cos w i t × U L cos w l t

= 1 2 U I U L cos [ ( w i - w l ) t + ( w i + w l ) t ]

High-frequency signal (w with multiplier output i+ w l) filter with BPF., promptly realize down coversion.Local oscillation signal has DSP control to produce, by the parameter of DSP programmed control output signal.The discharge signal frequency bandwidth is divided into 300k~600k, 600k~900k; Three frequency bands of 900k~1200k are regulated output signal frequency w through round-robin l, can realize the down coversion of whole frequency band.

As shown in Figure 4, be installed in the switch cubicle electromagnetic wave signal that uhf sensor on three faces can receive any orientation generation discharge generation in the cabinet, adopt shielded cable to connect between sensor unit and the pick-up unit, increased the anti-interference of transmission.The discharge signal that monitoring system can receive according to three sensors; Adopt the time frequency analysis technology at host computer; According to time delay and electromagnetic wave in air the velocity of propagation of discharge source to each sensor, deducibility goes out local discharge part position roughly locatees, for staff's maintenance provides reference.

As shown in Figure 5, at first, obtain fault data through partial discharge test, extract proper vector as template mode (fault file); Then, the data of field monitoring are carried out pre-service, form pattern to be checked; At last, adopt minimum distance method to carry out pattern-recognition pattern to be checked and template mode (fault file), determine that it is certain pattern, promptly carry out pattern classification and come the judgment device state, provide diagnostic result and reliability.The concrete method principle that realizes is following:

If comprise template mode among the P in the model storehouse, promptly P vector as model constituted model proper vector group

M={M 1M 2…M p…M P}

Each vector M wherein p(p=1,2 ..., P) include I element

M p=[m 1pm 2p…m ip…m IP] T

The vector that the characteristic parameter that is taken out by data to be checked forms is called pattern to be checked, and its vector to be checked does

X=[x 1x 2…x i…x I] T

Define pattern X to be checked to model M pDistance do

d p = 1 I Σ i = 0 I [ w ip ( x i - m ip ) ]

W in the formula IpBe weight coefficient, be used for adjustable range, to each template mode M p(p=1,2 ..., P), calculate vectorial X to be checked and model vector M p(p=1,2 ..., P) apart from d p, find out minimum d p=d Min, pattern to be checked is classified as the p quasi-mode.

Define degree of the conforming to crd of pattern to be checked and P sample mode p=crs p/ I, crs in the formula pBe the number that conforms to.Reliability be defined as

idar = crd max - crd sec crd max

Crd in the formula MaxBe maximum degree of conforming to, crd SecBe inferior degree of conforming to greatly.

As shown in Figure 6, monitoring and fault diagnosis system platform are realized with programming software, comprise real-time monitoring, analysis module, diagnostic module, log record and early warning module; In real time monitoring modular is that the parameter of the discharge information mode with data and figure is shown; Analysis module comprises time frequency analysis and particular analysis, and spectrum analysis and some characteristic parameters of discharge signal are analyzed; Diagnostic module comprises equipment self-inspection and automatic diagnosis; Logger module is responsible for the operation information and the alert event of recording unit; Alarm module can be realized fault alarm and trend analysis early warning.

As shown in Figure 7, be the process flow diagram of monitoring equipment fault diagnosis system, after the system start-up, the user can select system running state, and system default is the on-line monitoring state, and course of work user's two states is freelyr switched down.Under the on-line monitoring state, system at first carries out equipment self-inspection, wakes monitoring means up, and is undesired like self check, then generates Trouble Report, and produces alerting signal, and fault data is preserved; Normal like self check, then carry out data acquisition, analytical calculation, parameter demonstration and fault diagnosis, like diagnosing abnormal, then generate Trouble Report, send alerting signal, preserve fault data; As diagnose normally, preserve data.Under the off-line data analysis state, the user can analyze and diagnoses historical data, for the maintenance of equipment provides reference data.

Except that the foregoing description, the present invention can also have other embodiments, and all employings are equal to the technical scheme of replacement or equivalent transformation formation, all drop in the protection domain of requirement of the present invention.

Claims (6)

1. intelligent switchboard partial discharge monitoring system that detects based on ultrahigh frequency; It is characterized in that, comprise sensor unit (1), signal condition unit (2), MCU unit (3), communication unit (4), system power supply (5) and ipc monitor unit (6); Wherein, sensor unit (1) input end links to each other with the input end of signal condition unit (2); The output terminal of signal condition unit (2) links to each other with MCU unit (3); The MCU unit links to each other with ipc monitor unit (6) through communication unit (4) and accomplishes two-way communication; System power supply (5) is that sensor unit (1), signal condition unit (2), MCU unit (3) and communication unit (4) provide power supply.
2. the intelligent switchboard partial discharge monitoring system that detects based on ultrahigh frequency according to claim 1 is characterized in that said sensor unit (1) comprises uhf sensor and signal amplification circuit; Uhf sensor receives the frequency electromagnetic waves of local discharge generation, converts local discharge signal to the micro voltage signal; Signal amplification circuit is accomplished the amplification of micro voltage signal, and the voltage signal after will amplifying is sent to signal condition unit (2).
3. the intelligent switchboard partial discharge monitoring system that detects based on ultrahigh frequency according to claim 1; It is characterized in that said signal condition unit (2) is connected in series frequency spectrum shift circuit, rear end filtering circuit and biasing circuit successively by front end amplification filtering circuit; Wherein, the amplification filtering circuit adopts the bandpass filtering of band gain to accomplish the amplification and the filtering of signal; The frequency spectrum shift circuit is realized the conversion of signal frequency from the high frequency to the low frequency; Biasing circuit is realized the biasing of signal.
4. the intelligent switchboard partial discharge monitoring system that detects based on ultrahigh frequency according to claim 1 is characterized in that said MCU unit (3) is made up of digital signal processing processor, keyboard-display circuit, clock circuit and warning circuit; The digital signal processing processor is accomplished sample conversion, computing and the data storage of discharge signal, and communicates by letter with host computer by the communication protocol of appointment; Keyboard-display circuit is realized the demonstration and the parameter setting of discharge information; Clock circuit has the power-down data protection function for the digital signal processing processor provides clock reference, and warning circuit produces alerting signal under equipment failure state.
5. the monitoring method of an intelligent switchboard partial discharge monitoring system that detects based on ultrahigh frequency as claimed in claim 1 is characterized in that said method is following:
The high frequency electromagnetic wave signal that shelf depreciation produces in the uhf sensor receiving key cabinet in the sensor unit converts electromagnetic wave signal to the micro voltage signal and delivers to amplifying circuit; Amplifying circuit amplifies the micro voltage signal, and the signal after will amplifying is sent to the signal condition unit;
The signal condition unit comprises front end amplification filtering circuit, frequency spectrum shift circuit and biasing circuit; Signal after the amplification is accomplished high-frequency signal conversion to low frequency signal with filtered signal through the frequency spectrum shift circuit through filter amplification circuit filtering; Biasing obtains final output signal through biasing circuit with the signal after the spectrum transformation;
The MCU unit adopts digital signal processor, and the A/D module in the digital signal processor is carried out analog to digital conversion to final output signal, and the signal after the analog to digital conversion is removed undesired signal through FIR wave filter digital filtering again; Change frequency-region signal through the signal of Short Time Fourier Transform after into by time-domain signal with FIR wave filter digital filtering, and then the frequency spectrum shift of realizing software promptly on axle frequently to each frequency component translation, recover the frequency spectrum that former discharge signal is an electromagnetic wave signal; The type of discharge signal is diagnosed in the characteristic parameter pattern-recognition of each electric discharge type that extracts the characteristic parameter of the spectrum signal after the recovery and under experiment condition, draw; At last, counting frequency number of times and the parameter of amplitude that discharge takes place, the parameter of all strength of discharges is sent to the Control Room host computer, when discharge scenario is serious, sending the sound and light alarm signal as the sign strength of discharge.
6. the monitoring method of the intelligent switchboard partial discharge monitoring system that detects based on ultrahigh frequency according to claim 5 is characterized in that the method for said frequency spectrum shift is that its concrete steps are following with two signal multiplications:
Input signal does
u i(t)=U Icosw it
In the formula, U IBe applied signal voltage amplitude, w iAngular frequency for input signal;
Local oscillation signal does
u l(t)=U Lcosw lt
In the formula, U LBe local oscillation signal voltage magnitude, w lAngular frequency for local oscillation signal;
Multiply each other to such an extent that the output signal does
u o ( t ) = u i ( t ) × u l ( t ) = U I cos w i t × U L cos w l t
= 1 2 U I U L cos [ ( w i - w l ) t + ( w i + w l ) t ]
High-frequency signal (w with multiplier output i+ w l) filter with BPF., promptly realize down coversion;
The method of said diagnosis discharge is following:
Comprise P kind template mode in the model storehouse, promptly P vector as model constituted model proper vector group
M={M 1M 2…M p…M P}
Wherein, P is the species number of template mode, M 1M 2M pM PBe the vector in the Vector Groups;
Each vector M wherein p(p=1,2 ..., P) include I element;
M p=[m 1pm 2p…m ip…m IP] T
Wherein, m 1pm 2pM IpM IPBe vector M pElement;
The vector that the characteristic parameter that is taken out by data to be checked forms is called pattern to be checked, and its vector to be checked is:
X=[x 1x 2…x i…x I] T
Wherein, x 1x 2X iX IElement for vectorial X to be checked;
Define pattern X to be checked to model M pDistance be:
d p = 1 I Σ i = 0 I [ w ip ( x i - m ip ) ]
W in the formula IpBe weight coefficient, be used for adjustable range, to each template mode M p(p=1,2 ..., P), calculate vectorial X to be checked and model vector M p(p=1,2 ..., P) apart from d p, find out minimum d p=d Min, pattern to be checked is classified as the p quasi-mode;
Degree of the conforming to crd of pattern to be checked and P sample mode p=crs p/ I, crs in the formula pBe the number that conforms to, several crs conform to pBe each element of vectorial X to be checked and M pThe absolute value of middle respective element difference satisfies condition | x i-m Ip|≤d MinElement number; Reliability is:
idar = crd max - crd sec crd max
Crd in the formula MaxBe maximum degree of conforming to, crd SecBe inferior degree of conforming to greatly.
CN201210331526.9A 2012-09-10 2012-09-10 Online monitoring system and method for partial discharge of intelligent switch cabinet based on ultra-high frequency detection CN102841296B (en)

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CN103245898A (en) * 2013-05-20 2013-08-14 国家电网公司 Switch cabinet local discharging real-time monitoring system based on oxygen sensor
CN103454564A (en) * 2013-08-22 2013-12-18 江苏科技大学 Partial discharge detecting system and method for high voltage switch cabinet
CN103487734A (en) * 2013-09-24 2014-01-01 江苏新亚高电压测试设备有限公司 Full-digitalization multi-channel real-time synchronous partial discharge detector
CN103487730A (en) * 2013-09-12 2014-01-01 国家电网公司 Power transformer partial discharge real-time monitoring system
CN103513167A (en) * 2013-09-18 2014-01-15 北京四方继保自动化股份有限公司 Switch partial discharge condition monitoring device based on distributed network platforms
CN103675618A (en) * 2013-11-30 2014-03-26 成都科泰地理信息技术有限公司 Switchgear partial discharge inspecting instrument with printing function
CN103823157A (en) * 2014-02-17 2014-05-28 上海交通大学 GPS synchronous timing-based XLPE cable partial discharge positioning device
CN104049185A (en) * 2014-05-22 2014-09-17 西安富邦科技实业有限公司 Portable partial discharge detecting system and method
CN104330675A (en) * 2014-11-17 2015-02-04 国家电网公司 Multivariate time series based power transformation equipment online monitoring and analysis system and method thereof
CN104502759A (en) * 2014-12-19 2015-04-08 国家电网公司 Intelligent monitoring system of distribution network switch cabinet
CN104569756A (en) * 2014-12-29 2015-04-29 河海大学常州校区 Switch cabinet partial discharge on-line monitoring system based on electronic nose sensor
CN106526434A (en) * 2016-10-11 2017-03-22 国网上海市电力公司 Partial discharge mode identifying method and device
CN106814290A (en) * 2015-12-02 2017-06-09 中国电力科学研究院 A kind of 10kV switch cabinet states detection method
CN107255779A (en) * 2017-06-15 2017-10-17 国网河南省电力公司济源供电公司 A kind of high-tension switch cabinet Analysis of Partial Discharge method
CN107345993A (en) * 2017-07-19 2017-11-14 河南职业技术学院 A kind of electric equipment operation information monitoring system
CN107490752A (en) * 2017-09-15 2017-12-19 中国电力科学研究院 A kind of system and method for simulating ultrahigh frequency partial discharge signal
CN107942214A (en) * 2017-12-04 2018-04-20 囯网河北省电力有限公司电力科学研究院 A kind of feature extracting method of transformer partial discharge signal, device
CN109061409A (en) * 2018-07-02 2018-12-21 国网北京市电力公司 Transient earth voltage local discharge detection device

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CN103245898A (en) * 2013-05-20 2013-08-14 国家电网公司 Switch cabinet local discharging real-time monitoring system based on oxygen sensor
CN103454564A (en) * 2013-08-22 2013-12-18 江苏科技大学 Partial discharge detecting system and method for high voltage switch cabinet
CN103487730A (en) * 2013-09-12 2014-01-01 国家电网公司 Power transformer partial discharge real-time monitoring system
CN103513167A (en) * 2013-09-18 2014-01-15 北京四方继保自动化股份有限公司 Switch partial discharge condition monitoring device based on distributed network platforms
CN103513167B (en) * 2013-09-18 2016-03-30 北京四方继保自动化股份有限公司 Based on the switch partial discharge state monitoring apparatus of Board of Distributed Network Constructed
CN103487734A (en) * 2013-09-24 2014-01-01 江苏新亚高电压测试设备有限公司 Full-digitalization multi-channel real-time synchronous partial discharge detector
CN103487734B (en) * 2013-09-24 2016-05-11 江苏新亚高电压测试设备有限公司 The totally digitilized multichannel real-time synchronization of one Partial discharge detector
CN103675618A (en) * 2013-11-30 2014-03-26 成都科泰地理信息技术有限公司 Switchgear partial discharge inspecting instrument with printing function
CN103823157A (en) * 2014-02-17 2014-05-28 上海交通大学 GPS synchronous timing-based XLPE cable partial discharge positioning device
CN104049185A (en) * 2014-05-22 2014-09-17 西安富邦科技实业有限公司 Portable partial discharge detecting system and method
CN104330675B (en) * 2014-11-17 2017-02-22 国家电网公司 Multivariate time series based power transformation equipment online monitoring and analysis system and method thereof
CN104330675A (en) * 2014-11-17 2015-02-04 国家电网公司 Multivariate time series based power transformation equipment online monitoring and analysis system and method thereof
CN104502759A (en) * 2014-12-19 2015-04-08 国家电网公司 Intelligent monitoring system of distribution network switch cabinet
CN104569756A (en) * 2014-12-29 2015-04-29 河海大学常州校区 Switch cabinet partial discharge on-line monitoring system based on electronic nose sensor
CN104569756B (en) * 2014-12-29 2017-11-28 河海大学常州校区 Switch cabinet partial discharge on-line monitoring system based on electronic nose sensor
CN106814290A (en) * 2015-12-02 2017-06-09 中国电力科学研究院 A kind of 10kV switch cabinet states detection method
CN106814290B (en) * 2015-12-02 2019-11-08 中国电力科学研究院 A kind of 10kV switch cabinet state detection method
CN106526434A (en) * 2016-10-11 2017-03-22 国网上海市电力公司 Partial discharge mode identifying method and device
CN107255779A (en) * 2017-06-15 2017-10-17 国网河南省电力公司济源供电公司 A kind of high-tension switch cabinet Analysis of Partial Discharge method
CN107345993A (en) * 2017-07-19 2017-11-14 河南职业技术学院 A kind of electric equipment operation information monitoring system
CN107490752A (en) * 2017-09-15 2017-12-19 中国电力科学研究院 A kind of system and method for simulating ultrahigh frequency partial discharge signal
CN107942214A (en) * 2017-12-04 2018-04-20 囯网河北省电力有限公司电力科学研究院 A kind of feature extracting method of transformer partial discharge signal, device
CN109061409A (en) * 2018-07-02 2018-12-21 国网北京市电力公司 Transient earth voltage local discharge detection device

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