CN105974223B - A kind of method and system for on-line checking electrical equipment working condition - Google Patents

A kind of method and system for on-line checking electrical equipment working condition Download PDF

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CN105974223B
CN105974223B CN201610270219.2A CN201610270219A CN105974223B CN 105974223 B CN105974223 B CN 105974223B CN 201610270219 A CN201610270219 A CN 201610270219A CN 105974223 B CN105974223 B CN 105974223B
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electrical equipment
characteristic value
online
disturbing signal
signal
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CN105974223A (en
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王根平
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Shenzhen Polytechnic
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Shenzhen Polytechnic
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere

Abstract

The present invention is suitable for electrical equipment detection improvement technical field, provide a kind of method for on-line checking electrical equipment working condition, this method carries out data acquisition using current sensor and voltage sensor, the described method comprises the following steps: A, the disturbing signal data of acquisition electrical equipment open and close and working condition, which calculate analyzing, obtains training sampling characteristic value simultaneously opening relationships database;B, voltage is carried out to power-supply system in electrical equipment work, current signal sampling processing obtains online disturbing signal;C, online disturbing signal is carried out calculating its characteristic value of analysis acquisition;D, the training sampling disturbing signal characteristic value in the characteristic value and relational database of online disturbing signal is carried out to the state of matching judgment electrical equipment, and return step B is recycled.This method is easy to use, low in cost, versatility is good.

Description

A kind of method and system for on-line checking electrical equipment working condition
Technical field
The invention belongs to electrical equipment detection improvement technical fields, more particularly to one kind to be used for on-line checking electrical equipment work Make the method and system of state.
Background technique
At present to the typically no method of equipment working state by general supply current and voltage signals come direct accurate judgement, it is special Not when there are numerous electric equipments at runtime in a certain place, the working condition of these equipment can not be even more differentiated.At present to some Important equipment is typically monitored using dedicated monitoring device, and this monitoring is all by monitoring device and quilt Monitoring device carries out digital communication to complete.
The problem of this solution, is: realized currently without general equipment or method to general electric equipment into Row condition monitoring.Condition monitoring to some special installations be also carried out by monitoring device and monitored device digital communication come It completes, does so at high cost, operation is also complicated.
Summary of the invention
The purpose of the present invention is to provide a kind of methods for on-line checking electrical equipment working condition, it is intended in solution The technical issues of stating.
The invention is realized in this way a method of for on-line checking electrical equipment working condition, this method is utilized Current sensor and voltage sensor carry out data acquisition, the described method comprises the following steps:
A, the disturbing signal data of acquisition electrical equipment open and close and working condition, which calculate analyzing, obtains training sampling spy Value indicative and opening relationships database;
B, voltage is carried out to power-supply system in electrical equipment work, current signal sampling processing obtains online disturbance letter Number;
C, online disturbing signal is carried out calculating its characteristic value of analysis acquisition;
D, by the training sampling disturbing signal characteristic value progress in the characteristic value and relational database of online disturbing signal With the state for judging electrical equipment, and return step B is recycled.
A further technical solution of the present invention is: further include in the step D D1, by the characteristic value of online disturbing signal more Newly into relational database in the characteristic value of matched disturbing signal.
A further technical solution of the present invention is: further including D2 in the step D, by the parameter progress to disturbing signal Analysis, judges whether electrical equipment works normally, if so, then return step B is recycled, alarms and returns if not, issuing Step B is recycled.
A further technical solution of the present invention is: carrying out wavelet transformation to the voltage of sampling, current signal in the step B Method processing obtains the disturbing signal of point signal.
A further technical solution of the present invention is: the characteristic value of the disturbing signal includes initial time, the duration, disturbs Dynamic amplitude and forcing frequency.
Another object of the present invention is to provide a kind of system for on-line checking electrical equipment working condition, the systems Data acquisition is carried out using current sensor and voltage sensor, the system comprises:
Sample collection memory module, based on the disturbing signal data by acquiring electrical equipment open and close and working condition carry out Point counting analyses to obtain training sampling characteristic value and opening relationships database;
Online signal acquisition module, for carrying out voltage to power-supply system in electrical equipment work, current signal samples Processing obtains online disturbing signal;
Extraction module is analyzed, calculates its characteristic value of analysis acquisition for carrying out to online disturbing signal;
Condition judgment module, for believing the training sampling disturbance in the characteristic value and relational database of online disturbing signal Number characteristic value carries out the state of matching judgment electrical equipment, and returns to online signal acquisition and recycled.
A further technical solution of the present invention is: in the condition judgment module further include:
Characteristic value update module, for the characteristic value of online disturbing signal to be updated the matched disturbance into relational database In the characteristic value of signal.
A further technical solution of the present invention is: in the condition judgment module further include:
Electrical equipment work judgment module judges that electrical equipment is for analyzing by the parameter to disturbing signal No normal work is recycled if so, then returning to online signal acquisition, is alarmed if not, issuing and is returned to online signal acquisition It is recycled.
A further technical solution of the present invention is: carrying out wavelet transformation to the voltage of sampling, current signal in the step B Method processing obtains the disturbing signal of point signal.
A further technical solution of the present invention is: the characteristic value of the disturbing signal includes initial time, the duration, disturbs Dynamic amplitude and forcing frequency.
The beneficial effects of the present invention are: passing through the state of this method real-time detection electrical equipment, effective regulation electricity consumption is set Standby efficiency safeguards faulty equipment timely maintenance, ensure that the service efficiency of electrical equipment is high, this method is easy to use, at This is cheap, versatility is good.
Detailed description of the invention
Fig. 1 is the flow chart of the method provided in an embodiment of the present invention for on-line checking electrical equipment working condition;
Fig. 2 is the structural block diagram of the system provided in an embodiment of the present invention for on-line checking electrical equipment working condition.
Fig. 3 is the comparison diagram provided in an embodiment of the present invention by small echo calculated result.
Specific embodiment
Fig. 1 shows the method flow diagram provided by the present invention for on-line checking electrical equipment working condition, is described in detail It is as follows:
The disturbing signal data of step S1, acquisition electrical equipment open and close and working condition calculate analyzing and be trained Sample characteristic value and opening relationships database;It is each that data acquisition electrical equipment is carried out using current sensor and voltage sensor The disturbing signal of state, and analysis is calculated according to collected disturbing signal and obtains the characteristic value of disturbing signal, it is each by what is obtained The feature of a electrical equipment establishes its relational database corresponding with equipment in the database, and established database is deposited Storage.
Step S2 carries out voltage to power-supply system in electrical equipment work, the acquisition of current signal sampling processing is disturbed online Dynamic signal;Current sensor and voltage sensor are connected between electrical equipment and power supply, online real time collecting electricity consumption is carried out Various data when equipment works, and collected data calculate and analyze the real-time disturbance number letter for waiting until electrical equipment Number.The voltage signal used and current signal are subjected to wavelet transform process, find out the disturbing signal of a signal, by disturbing The wavelet transformation of dynamic signal, it can be deduced that the initial time of disturbing signal, duration, the characteristic values such as perturbation amplitude.
If the voltage or current signal that sample are f (t), θ (t) is the wavelet basis function of selection, and * is convolutional calculation calculation Son.Ψ(1), Ψ(2), respectively θ (t) derived function and second derived function.
By calculating as follows:
F (t) * θ (t)=∫ f (τ) θ (t- τ) d τ
According to Fig. 3 calculate result and be plotted as can be seen that can be clear find signal f (t) occur disturbance letter Number initial time TPQD, calculate disturbance duration LPQDWith perturbation amplitude SPQDDeng.
The acquisition of initial time: distinguish in voltage or current signal and derived function of wavelet basis function and second derived function In the result of convolutional calculation, the maximum and voltage or current signal of voltage or current signal and derived function of wavelet basis function It is the start time point T of electric signal fluctuation with first corresponding time point of the zero point of wavelet basis function second derived functionPQD, Next second corresponding points are fluctuation end time point, and the difference at two time points is wave time LPQD, by voltage or electric current The maximum of signal and derived function of wavelet basis function is defined as fluctuating range SPQD
It is the fluctuation is that fluctuation .min expression caused by the equipment takes most if its is cumulative and minimum by corresponding equipment s Small value, ∑ indicate it is poor to all i characteristic quantities carry out it is cumulative set the sampling period as Ts, the Current Voltage period is T (0.02 Second), if electric current and voltage max differ K sampled point, then electric current and voltage differ are as follows:
θ=2 π/T*K*Ts 0=< θ <=π.
If current fluctuation characteristic quantity is Ii (i=1,2,3 ...), if voltage fluctuation characteristic quantity be Ui (i=1,2, 3 ...), the current fluctuation characteristic quantity of certain corresponding equipment default reference is Ioi (i=1,2,3 ...), it is corresponding certain The voltage fluctuation characteristic quantity of equipment default reference is Uoi (i=1,2,3 ...),
Then: Js=min ∑ (Ii-Ioi)2+(Ui-Uoi)2(i=1,2,3 ...).
Such as, equipment A, which is convinced by patient analysis, sends a telegraph duration 1 second, relative amplitude 0.2A of flow disturbance signal, voltage disturbance signal duration 1.2 seconds, relative amplitude 5V, the disturbing signal calculated by on-line checking and above-mentioned value most matched, then may determine that it is that A is set It is standby to open power supply and start to work.
Step S3 carries out online disturbing signal to calculate its characteristic value of analysis acquisition;It is obtained by online disturbing signal Afterwards, disturbing signal can be analyzed in system, calculate and extracts corresponding characteristic value, when wherein characteristic value includes starting Between, duration, perturbation amplitude and forcing frequency etc..
Step S4, by the characteristic value and relational database of online disturbing signal training sampling disturbing signal characteristic value into The state of row matching judgment electrical equipment, and return step S2 is recycled.It is disturbed by on-line checking power-supply system Current Voltage Dynamic signal, and the characteristic value obtained with training is analyzed and matched, it can be determined that be which kind of equipment opens switch and starts out Work, which kind of equipment, which powers off, stopped work, whether just can also judge equipment work by the analysis to disturbance parameter Often.The characteristic value of online disturbing signal is updated into relational database in the characteristic value of matched disturbing signal.By to disturbing The parameter of dynamic signal is analyzed, and judges whether electrical equipment works normally, if so, then return step S2 is recycled, if not, It then issues alarm and return step S2 is recycled.
Fig. 2 shows be for on-line checking electrical equipment working condition another object of the present invention is to provide a kind of System, the system carry out data acquisition using current sensor and voltage sensor, the system comprises:
Sample collection memory module, based on the disturbing signal data by acquiring electrical equipment open and close and working condition carry out Point counting analyses to obtain training sampling characteristic value and opening relationships database;
Online signal acquisition module, for carrying out voltage to power-supply system in electrical equipment work, current signal samples Processing obtains online disturbing signal;
Extraction module is analyzed, calculates its characteristic value of analysis acquisition for carrying out to online disturbing signal;
Condition judgment module, for believing the training sampling disturbance in the characteristic value and relational database of online disturbing signal Number characteristic value carries out the state of matching judgment electrical equipment, and returns to online signal acquisition and recycled.
In the condition judgment module further include:
Characteristic value update module, for the characteristic value of online disturbing signal to be updated the matched disturbance into relational database In the characteristic value of signal.
In the condition judgment module further include:
Electrical equipment work judgment module judges that electrical equipment is for analyzing by the parameter to disturbing signal No normal work is recycled if so, then returning to online signal acquisition, is alarmed if not, issuing and is returned to online signal acquisition It is recycled.
The disturbance letter that Wavelet Transform processing obtains point signal is carried out to the voltage of sampling, current signal in the step B Number.
The characteristic value of the disturbing signal includes initial time, duration, perturbation amplitude and forcing frequency.
By the state of this method real-time detection electrical equipment, the efficiency of effective regulation electrical equipment, to faulty equipment Timely maintenance maintenance ensure that the service efficiency of electrical equipment is high, and this method is easy to use, low in cost, versatility is good.
The initial time of the fluctuation signal of voltage and current, fluctuating range fluctuate perdurabgility, the correlation of voltage and current fluctuation Property, the phase difference etc. of Current Voltage fluctuation.
According to different equipment, one of them can be, be also possible to two, it is also possible to which the correlation of these parameters is special Sign analysis.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.

Claims (6)

1. a kind of method for on-line checking electrical equipment working condition, this method utilizes current sensor and voltage sensor Carry out data acquisition, which is characterized in that the described method comprises the following steps:
A, the disturbing signal data of acquisition electrical equipment open and close and working condition, which calculate analyzing, obtains training sampling characteristic value And the feature of obtained each electrical equipment is established into its relational database corresponding with equipment in the database;
B, current sensor and voltage sensor are connected between electrical equipment and power supply, to power supply in electrical equipment work System carries out voltage, current signal sampling handles through Wavelet Transform and obtains online disturbing signal;
C, to online disturbing signal carry out calculate analysis obtain its characteristic value, wherein characteristic value include initial time, the duration, Perturbation amplitude and forcing frequency;
D, the characteristic value of online disturbing signal match sentencing with the training sampling disturbing signal characteristic value in relational database The state of disconnected electrical equipment, and return step B is recycled.
2. the method according to claim 1, wherein further including D1 in the step D, by online disturbing signal Characteristic value is updated into relational database in the characteristic value of matched disturbing signal.
3. according to the method described in claim 2, it is characterized in that, further including D2 in the step D, by disturbing signal Parameter is analyzed, and judges whether electrical equipment works normally, if so, then return step B is recycled, if not, issuing report Alert and return step B is recycled.
4. a kind of system for on-line checking electrical equipment working condition, which utilizes current sensor and voltage sensor Carry out data acquisition, which is characterized in that the system comprises:
Sample collection memory module, the disturbing signal data for acquiring electrical equipment open and close and working condition, which calculate, divides Analysis obtains training sampling characteristic value, and it is corresponding with equipment that the feature of obtained each electrical equipment established it in the database Relational database;
Online signal acquisition module, current sensor and voltage sensor are connected between electrical equipment and power supply be used for Voltage is carried out to power-supply system in electric equipment work, current signal sampling handles through Wavelet Transform and obtains online disturbing signal;
Extraction module is analyzed, calculates its characteristic value of analysis acquisition for carrying out to online disturbing signal, wherein characteristic value includes Begin time, duration, perturbation amplitude and forcing frequency;
Condition judgment module, for the training sampling disturbing signal in the characteristic value and relational database of online disturbing signal is special Value indicative carries out the state of matching judgment electrical equipment, and returns to online signal acquisition and recycled.
5. system according to claim 4, which is characterized in that in the condition judgment module further include:
Characteristic value update module, for the characteristic value of online disturbing signal to be updated the matched disturbing signal into relational database Characteristic value in.
6. system according to claim 5, which is characterized in that in the condition judgment module further include:
Just whether electrical equipment work judgment module judge electrical equipment for analyzing by the parameter to disturbing signal Often work, is recycled if so, then returning to online signal acquisition, is carried out if not, issuing and alarming and return online signal acquisition Circulation.
CN201610270219.2A 2016-04-27 2016-04-27 A kind of method and system for on-line checking electrical equipment working condition Active CN105974223B (en)

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Publication number Priority date Publication date Assignee Title
CN108132418B (en) * 2017-11-29 2020-11-06 王根平 Power equipment networking monitoring system, method and device
CN108459222A (en) * 2018-03-22 2018-08-28 中国海洋大学 A kind of electric appliance fault detection method and system
CN109270384B (en) * 2018-11-13 2019-06-11 中南民族大学 A kind of method and system of the electric arc of electrical equipment for identification
CN110553789A (en) * 2019-09-16 2019-12-10 中车株洲电力机车有限公司 state detection method and device of piezoresistive pressure sensor and brake system

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Publication number Priority date Publication date Assignee Title
CN101614776A (en) * 2009-04-25 2009-12-30 安徽海圣电气有限公司 Electric equipment intelligent recognition methods and device
CN103217603A (en) * 2013-03-22 2013-07-24 重庆大学 Recognition method of on-line monitoring of power consumption of non-intrusive household appliances
CN103927752A (en) * 2014-04-21 2014-07-16 国家电网公司 Method for monitoring operating state of electrical equipment
CN104597813A (en) * 2014-12-23 2015-05-06 李凤兰 Intelligent socket capable of automatically identifying electric appliance running state

Patent Citations (4)

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Publication number Priority date Publication date Assignee Title
CN101614776A (en) * 2009-04-25 2009-12-30 安徽海圣电气有限公司 Electric equipment intelligent recognition methods and device
CN103217603A (en) * 2013-03-22 2013-07-24 重庆大学 Recognition method of on-line monitoring of power consumption of non-intrusive household appliances
CN103927752A (en) * 2014-04-21 2014-07-16 国家电网公司 Method for monitoring operating state of electrical equipment
CN104597813A (en) * 2014-12-23 2015-05-06 李凤兰 Intelligent socket capable of automatically identifying electric appliance running state

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