CN102736025A - Device and method for predicting electric remaining service life of circuit breaker - Google Patents

Abstract

The invention discloses a device and a method for predicting the electric remaining service life of a circuit breaker. The device comprises a circuit breaker, a signal acquisition module, an analogue-to-digital (A/D)converter, a processor, an inverter circuit, an industrial personal computer and a transmission module, wherein the signal acquired by the signal acquisition module is output to the input end of the A/D converter; the output end of the A/D converter is connected with the input/output (IO) ports of the processor; a data conversion pin of the inverter circuit is connected with a serial port of the processor; and the input end of the industrial personal computer and the input end of the transmission module are both connected with the serial port of the processor. By the method, the closing time, the over-voltage, the on-off current, the environment air pressure, the use times and the insulation coefficients of the circuit breaker are measured directly; and the data are used as the input quantity; and the prediction of the service life of the circuit breaker is realized by using the A/D converter, the processor, the inverter circuit, the industrial personal computer and the transmission module; the error generated due to the fact that a mold is established and parameters are selected by using a traditional method is avoided; and the method is simple in input quantity extraction, precise and high in prediction efficiency.

Description

Electric remaining life prediction unit of a kind of isolating switch and method

Technical field

The invention belongs to breaker technical field, electric remaining life prediction unit of particularly a kind of isolating switch and method.

Background technology

Relevant statistics shows, transformer station's maintenance cost over half be flower on switch, and 60% be light maintenance and the regular maintenance that is used for isolating switch wherein; In addition according to statistics, 10% circuit breaker failure is because due to the incorrect maintenance, the overhaul of isolating switch is disintegrated fully; Both time-consuming, expense is also very high, can reach 1/3-1/2 of whole isolating switch; And disintegrate and ressemble and can cause a lot of defectives, consequent accident example is too numerous to enumerate especially.Which parts (or critical elements) for isolating switch; How long operation needs to change; Be still the problem of a dispute, in fact in relatively more conservative at present scheduled overhaul, it is still functional when the back was upgraded in a lot of years that many parts operations take place often; And owing to find in time that not a certain parts defective occurs and cause the situation of power grid accident also to happen occasionally.Therefore can understand the state of isolating switch, reduce too early or unnecessary power failure test and maintenance, accomplish to answer Xiu Zexiu, just can significantly improve Power System Reliability and economy.The electric remaining life of switch manufacturing enterprise being researched and developed and makes the novel outdoor high-voltage AC vacuum circuit-breaker of production voluntarily carries out forecast analysis, can the convenient for maintaining personnel overhaul.

Summary of the invention

To the deficiency of prior art, the present invention provides electric remaining life prediction unit of a kind of isolating switch and method.

Technical scheme of the present invention is achieved in that

The electric remaining life prediction unit of a kind of isolating switch comprises isolating switch, signal acquisition module, A/D converter, processor, translation circuit, industrial computer and transport module;

Said signal acquisition module comprises voltage transformer (VT), current transformer, displacement transducer, baroceptor and insulation tester.

Current transformer is installed in the insulated support of insulator; Be used to gather the dropout current of isolating switch, voltage transformer (VT) is used to gather the superpotential of isolating switch, and displacement transducer is installed on the pull bar of breaker operation mechanism; Be used to gather the access times and the closing time of isolating switch; Baroceptor is used to gather isolating switch place ambient pressure, and insulation tester is installed on the insulation shell of isolating switch, is used to gather the isolating switch insulating coefficient.

Said A/D converter is used for the analog signal conversion of signal acquisition module collection is become digital signal;

Collection capacity after said processor is changed AD carries out data processing;

Said translation circuit carries out level and logical relation conversion;

Said transport module is used for carrying out data transmission with the remote dispatching terminal;

The signal of signal acquisition module collection exports the input end of A/D converter to; The output terminal of A/D converter is connected with the I/O port of processor; The data-switching pin of translation circuit is connected with the serial ports of processor, the serial ports of the equal connection processing device of the input end of input end of industrial control machine and transport module.

Adopt the electric remaining life prediction unit of above-mentioned isolating switch to carry out the electric remaining life forecast method of isolating switch, comprise the steps:

Step 1: gather closing time, superpotential, dropout current, the ambient pressure of isolating switch, access times, insulating coefficient;

Gather the dropout current and the superpotential of isolating switch respectively through current transformer and voltage transformer (VT); Displacement transducer is gathered the access times and the closing time of isolating switch; Baroceptor is gathered the atmospheric pressure value of isolating switch place environment, and insulation tester is gathered the isolating switch insulating coefficient;

Step 2: convert the analog quantity that collects to digital quantity, deliver to processor;

Step 3: the electric remaining life of isolating switch is predicted;

Step 3.1: the data to gathering are carried out Space Reconstruction; In a time series with closing time, superpotential, dropout current, the ambient pressure of the isolating switch that collects; Access times, insulating coefficient are system's input quantity, reconstruct the NLS space that characterizes the electric remaining life of isolating switch;

Step 3.2: in the system space that reconstructs, set up mathematical model, describe the electric remaining life of isolating switch, and find the solution this mathematical model based on complex network;

Step 3.3: obtain predicting the outcome of the electric remaining life of isolating switch;

Step 4: predicting the outcome of the electric remaining life of isolating switch is sent to the remote dispatching terminal through transport module, so that the maintenance personal in time overhauls.

Beneficial effect:

Electric remaining life prediction unit of isolating switch of the present invention and method; Propose to utilize closing time, superpotential, dropout current, the ambient pressure of directly measuring isolating switch; Access times, insulating coefficient be as input quantity, and finally utilize A/D converter, processor, translation circuit, industrial computer and transport module to realize the isolating switch monitoring in serviceable life.The error that this method causes when avoiding classic method to set up model and choose parameter, and have the input quantity extraction simply, degree of accuracy is high, and accuracy is good, the characteristics that forecasting efficiency is high.

Description of drawings

The electric remaining life prediction unit of Fig. 1 specific embodiment of the invention isolating switch work synoptic diagram;

The electric remaining life prediction unit of Fig. 2 specific embodiment of the invention isolating switch structured flowchart;

The A/D converter of the electric remaining life prediction unit of Fig. 3 specific embodiment of the invention isolating switch and processor circuit schematic diagram;

The electric remaining life Forecasting Methodology of Fig. 4 specific embodiment of the invention isolating switch general flow chart;

The complex network structures synoptic diagram that is adopted in Fig. 5 specific embodiment of the invention;

Fig. 6 specific embodiment of the invention adopts the process flow diagram that carries out the electric remaining life prediction of isolating switch based on the mathematical model of complex network;

Fig. 7 the present invention predicts electric remaining life curve and actual electric remaining life curve map.

Embodiment

Elaborate below in conjunction with the accompanying drawing specific embodiments of the invention.

Like Fig. 1, shown in Figure 2, the electric remaining life prediction unit of the isolating switch of this embodiment comprises isolating switch, signal acquisition module, A/D converter, processor, translation circuit, industrial computer and transport module;

Isolating switch adopts the VN3-12E series of the 12kv of the anti-Ji of Cusparia, and this isolating switch used 10 years.

Signal acquisition module comprises voltage transformer (VT), current transformer, displacement transducer, baroceptor, insulation tester; Voltage transformer (VT) is selected JDG4-0.5 1000/100 model voltage transformer (VT) for use; Current transformer is selected CTY205 model current transformer for use; Displacement transducer is selected big stroke stay cord displacement transducer CTL series for use, and insulation tester uses DL09-SDM50, and baroceptor is selected PT603 for use.Current transformer is installed in the insulated support of insulator, is used to gather the dropout current of isolating switch, and voltage transformer (VT) is installed in the secondary circuit; Be used to gather the superpotential of isolating switch; Displacement transducer is installed on the pull bar of breaker operation mechanism, is used to gather the access times and the closing time of isolating switch, and baroceptor is used to gather the atmospheric pressure value of isolating switch place environment; Insulation tester is installed on the insulation shell of isolating switch, is used to gather the isolating switch insulating coefficient.

A/D converter is selected the TLC2543 12 bits serial A/D converter of TI company for use, and this device uses switching capacity approximation technique completion A/D transfer process one by one.Owing to be the serial input structure, can save 51 series monolithic I/O resources, and moderate.The serial a/d converter is very simple with being connected of single-chip microcomputer.AIN0-AIN10 is an analog input end; CS is a sheet choosing end; DIN is the serial data input end; DOUT is the ternary serial output terminal of A/D transformation result; EOC is the EOC end; CLK is the I/O clock; REF+ is positive reference voltage terminal; REF-is negative reference voltage terminal; VCC is a power supply; GND is ground.

It is the single-chip microcomputer of STC89C51 that processor is selected model for use, and the serial port that uses single-chip microcomputer to carry can be realized the serial communication with industrial computer.COM1, COM2 that present PC provides adopt the RS-232 interface standard, and RS-232 comes the presentation logic state with generating positive and negative voltage, comes the regulation of presentation logic state different with TTL with high-low level.Therefore; In order to be connected with computer interface or with the TTL device (like single-chip microcomputer) at terminal; Must between RS-232 and TTL circuit, carry out the conversion of level and logical relation, the translation circuit of this embodiment is selected the chip MAX232 of a compatible RS232 standard of being released by Texas Instruments (TI) for use.This device comprises 2 drivers, 2 receivers and a voltage generator circuit, and this voltage generator circuit provides TIA/EIA-232-F level.This device meets the TIA/EIA-232-F standard, and each receiver becomes 5V TT L/CMOS level with the TIA/EIA-232-F level conversion.Each generator becomes the TIA/EIA-232-F level with the TTL/CMOS level conversion.Single-chip microcomputer is the core of whole device; Serial a/d converter TLC2543 gathers the simulating signal of input, and sampling resolution, ALT-CH alternate channel and output polarity are selected by software, owing to be the serial input structure; Can save 51 series monolithic I/O resources; The data that single-chip microcomputer is gathered convert to through MAX232 through serial ports (10,11 pin) and realize transmission between RS232 level and industrial computer, specifically connect as shown in Figure 3

Industrial computer is selected for use and is adopted UNO-3072 Series P entium M/Celeron M built-in industrial control machine.

Transport module adopts H7000 series wireless communication system.

The output terminal of voltage transformer (VT), current transformer, displacement transducer, baroceptor, insulation tester is connected respectively to the input end AIN0-AIN4 of A/D converter TLC2543, and is as shown in Figure 3, the output terminal EOC of A/D converter TLC2543; CLK; DIN, DOUT are connected respectively to the P10 of single-chip microcomputer, P11; P12; P13,10 pins (RXD) of single-chip microcomputer STC89C51,11 pins (TXD) are connected with 10 pins (T2in) with 9 pins (R2out) of translation circuit MAX232, and the input end of industrial computer input end and transport module is connected with the single-chip microcomputer output terminal; The electric information of isolating switch and mechanical information carry out synchronized sampling, maintenance, A/D conversion via corresponding devices by sampling A; Become digital signal; Send into that single-chip microcomputer calculates and data processing; Link to each other with industrial computer and data are delivered to transport module through communication interface, for ready with the remote dispatching communication;

Adopt the electric remaining life prediction unit of above-mentioned isolating switch to carry out the electric remaining life forecast method of isolating switch, its flow process is as shown in Figure 4, comprises the steps:

Step 1: gather closing time, superpotential, dropout current, the ambient pressure of isolating switch, access times, insulating coefficient;

With closing time, superpotential, dropout current, the ambient pressure of isolating switch, access times, insulating coefficient are as input quantity; Gather sample value and see table 1;

Table 1 is gathered sample value

Gather sample	The collection value
		Closing time	1.3m/s
Voltage	12.3/kv
		Electric current	6.3/kA
Atmospheric pressure value	102/kpa
		Insulating coefficient	1.1
Access times	5000

Step 2: convert the analog quantity that collects to digital quantity, deliver to processor;

Step 3: the electric remaining life of isolating switch is predicted that flow process is as shown in Figure 5;

Step 3.1: the data to gathering are carried out Space Reconstruction; In a time series with closing time, superpotential, dropout current, the ambient pressure of the isolating switch that collects; Access times, insulating coefficient are system's input quantity, reconstruct the NLS space that characterizes the electric remaining life of isolating switch;

If the system time sequence of gathering is (x ₁, x ₂... x _n), the input quantity number n;

The system space form of reconstruct is:

$\left\{\begin{array}{c}{x}_1=(x_{11},x_{12},......,x_{1N})\\ x_2=(x_{21+\mathrm{\&tau;}},x_{22+\mathrm{\&tau;}},.......,x_{2N+\mathrm{\&tau;}})\\ ........\\ x_i=(x_{\mathrm{<figure-callout\; id="1"\; label="i"\; filenames="HDA00001834119200051.png"\; state="\{\{state\}\}">i</figure-callout>}1+(i-1)\mathrm{\&tau;}},x_{\mathrm{<figure-callout\; id="2"\; label="i"\; filenames="HDA00001834119200021.png,HDA00001834119200051.png"\; state="\{\{state\}\}">i</figure-callout>}2+(i-1)\mathrm{\&tau;}},.......,x_{\mathrm{iN}+(i-1)\mathrm{\&tau;}})\end{array}\right.---\left(1\right)$

X wherein _INBe a related pixel in a certain moment image data, τ is a time delay, and N is a natural number, x _iBe point mutually in the reconstruction attractor, i=1,2 ..., n.

Step 3.2: in the system space that reconstructs, set up mathematical model, describe the electric remaining life of isolating switch, and find the solution this mathematical model based on complex network;

Regard the space of reconstruct as a complex network that is made up of two-tier network, as shown in Figure 5, ground floor network center has only a node, and there are 5 nodes at second layer center, thus this complex network of the individual node of N (N=6) is arranged is 1 ~ 5 central site network.

Foundation is described the electric remaining life of isolating switch based on the mathematical model of volt at network, and this mathematical model is expressed as:

$x_i(t+1)=f_i\left(x_i\left(t\right)\right)+\mathrm{\&epsiv;}\underset{j=1}{\overset{n}{\mathrm{\&Sigma;}}}{a}_{\mathrm{ij}}{h}_j\left(x_j\left(t\right)\right),i=1,.......n,---\left(2\right)$

Wherein, x _i(t)=(x _I1(t), x _I2(t) ... x _IN(t)) ^T∈ R ^NThe state vector of expression node i, A=(a _Ij) _{N * n}Be coupled matrix, stiffness of coupling ε=0.004 (0<ε<1), f _i: R ^N→ R ^NExpression node i self evolution function, f _i(x)=and 6x (9-x), h _j: R ^N→ R ^NBe the inner couplings rule, the output function h of expression node j _j(x)=ε f (x (t)).| h _j() |≤ε, j=1,2 ... ..6, f _i, h _i, i=1,2......n bounded, and Linear independence.

Then as long as therefrom obtain system, coupled matrix A=(a _Ij), i.e. a _Ij, can accomplish prediction to the electric residual life of isolating switch.

In formula (2), f _i, h _i(i, j=1,2 ..., n) known, and for i=1,2 ..., n, t=0,1,2 ..., variable x _i(t) value is the collection capacity of the isolating switch that can directly record, and the topological structure of complex network is unknown.The topological structure of estimation network specifically is exactly to calculate estimated matrix A=(a _Ij) in element.With formula (2) as drive system.Responding system below introducing

$y_i(t+1)=f_i\left(x_i\left(t\right)\right)+\underset{j=1}{\overset{n}{\mathrm{\&Sigma;}}}{b}_{\mathrm{ij}}{h}_j\left(x_j\left(t\right)\right),i=\mathrm{1,2},..............n---\left(3\right)$

Here y _i()=(y _I1(), y _I2() ... y _IN()) ^T∈ R ^N, i=1,2 ... n, b _Ij() ∈ R is the time-varying parameter sequence, i, and j=1,2 ... ..n, introduce parameter adaptive control system

b _ij(t+1)=b _ij(t)-k(y _i(t+1)-x _i(t+1)) ^Th _j(x _j(t))，i,j=1，2，......n (4)

Wherein k ∈ R is an optional parameter.Rewrite equation (2) respectively, (3), (4) they are following matrix form,

X(t+1)=FX(t)+AH(X(t)) (5)

Y(t+1)=F(X(t))+B(t)H(X(t)) (6)

B(t+1)=B(t)-kE(t+1)H(X(t)) ^T， (7)

X wherein _i(t+1) be expressed as X (t+1), f _i(x _i(t)) be expressed as FX (t), h _j(x _j(t)) be expressed as H (X (t)), a _IjBe expressed as A, y _i(t+1) be expressed as Y (t+1), x _i(t) ^TBe expressed as X (t) ^T

Here X ()=(x ₁(), x ₂() ... x _n()) ^T∈ R ^{N * N}, Y ()=(y ₁(), y ₂() ... y _n()) ^T∈ R ^{N * N},

E(·)=Y(·)-X(·),F(X)=(f ₁(x ₁),f ₂(x ₂),......f _n(x _n))∈R ^n×N,H(X)=(h ₁(x ₁),h ₂(x ₂),......h _n(x _n))∈R ^n×N

Equation (6) deducts equation (5), obtains

E(t+1)=(B(t)-A)H(X(t)) (8)

With the substitution formula as a result (7) of (8), and both sides deduct A, can obtain

ΔB(t+1)=ΔB(t)[I-kH(X(t))H(X(t)) ^T]?(9)

Wherein, Δ B ()=B ()-A, I are a unit matrix

At first, structure Lyapunov function W (t)

$W\left(t\right)=\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}\underset{j=1}{\overset{n}{\mathrm{\&Sigma;}}}\mathrm{\&Delta;}{b}_{\mathrm{ij}}{\left(t\right)}^2,---\left(10\right)$

Δ b wherein _Ij(t)=b _Ij(t)-a _Ij

TrA representes the mark of a square formation A, and following result is then arranged:

（1） $\mathrm{trA}=\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{a}_{\mathrm{ii}},$ A=(a _ij)∈M _n×n；

（2）tr(αA+βB)=αtrA+βtrB,A,B∈M _n×n,α,β∈R

（3）tr(AB)=tr(BA),A∈M _m×n,B∈M _n×m;

(4) $\mathrm{tr}\left({\mathrm{AA}}^T\right)=\underset{i=1}{\overset{m}{\mathrm{\&Sigma;}}}\underset{j=1}{\overset{n}{\mathrm{\&Sigma;}}}{a}_{\mathrm{<figure-callout\; id="2"\; label="ij"\; filenames="HDA00001834119200021.png,HDA00001834119200051.png"\; state="\{\{state\}\}">ij</figure-callout>}}^2,$ A∈M _m×n；

(5) if A=(a _Ij) ∈ M _{M * n}, B=(b _Jk) ∈ M _{N * p}, then have

tr((AB)(AB) ^T)≤tr(AA ^T)tr(BB ^T) (11)

Secondly, according to the Lasalle invariance principle of difference, differential type is:

x _m+1＝T(x _m)，m＝0，1，......

T:R wherein ^N→ R ^N, V is the Lyapunov function of equation in G, if V continuously and

All x ∈ G are set up, and then note is made E={x:V=0, x ∈ G), M is the maximum invariant set of E, V ^-1(c)={ x:V (x)=c, x ∈ R ^N) Δ b (t)=b here _Ij(t)-a _Ij,, can get according to the result of (11) trace of a matrix

W(t+1)

＝tr(ΔB(t+1)ΔB(t+1) ^T)

＝tr(ΔB(t)ΔB(t) ^T)-2k·tr[((ΔB(t)H(X(t)))(ΔB(t)H(X(t))) ^T]

+k ²·tr[(ΔB(t)H(X(t))·H(X(t)) ^T)(ΔB(t)H(X(t))H(X(t)) ^T) ^T] (12)

≤W(t)-2k·tr[((ΔB(t)H(X(t)))(ΔB(t)H(X(t))) ^T]

+k ²·tr[(ΔB(t)H(X(t))·H(X(t)) ^T)(ΔB(t)H(X(t))H(X(t)) ^T) ^T]

＝W(t)-k(2-k·tr[H(X(t)) ^T·H(X(t)))·tr[(ΔB(t)H(X(t))(ΔB(t)H(X(t))) ^T]

Make-k (2-ktr [H (X (t)) ^TH (X (t))]＜0, satisfy following formula as long as choose parameter k for this reason

$0<k<2{\left(\underset{j=1}{\overset{n}{\mathrm{\&Sigma;}}}{L}_j^2\right)}^{-1}---\left(13\right)$

|h _j(·)|≤L _j，j＝1，2，.....n。K=k wherein _n, k _nFor In maximum positive integer,

$\mathrm{tr}\left[\mathrm{\&Delta;B}\left(t\right)H\left(X\left(t\right)\right){\left(\mathrm{\&Delta;B}\left(t\right)H\left(X\left(t\right)\right)\right)}^T\right]=\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}\underset{k=1}{\overset{N}{\mathrm{\&Sigma;}}}{\left(\underset{j=1}{\overset{n}{\mathrm{\&Sigma;}}}\mathrm{\&Delta;}{b}_{\mathrm{ij}}\left(t\right)h_{\mathrm{jk}}\left(x_j\left(t\right)\right)\right)}^2\&GreaterEqual;0$

Obtain Δ W (t)=W (t+1)-W (t)≤0 and make Δ W (t)=0, then

tr[ΔB(t)H(X(t))(ΔB(t)H(X(t))) ^T]＝0 (14)

Promptly

$\underset{j=1}{\overset{n}{\mathrm{\&Sigma;}}}\mathrm{\&Delta;}{b}_{\mathrm{ij}}\left(t\right)h_{\mathrm{jk}}\left(x_j\left(t\right)\right)=0,i=\mathrm{1,2},\&CenterDot;\&CenterDot;\&CenterDot;,n,k=\mathrm{1,2},\&CenterDot;\&CenterDot;\&CenterDot;,N$

Or

$\underset{j=1}{\overset{n}{\mathrm{\&Sigma;}}}\mathrm{\&Delta;}{b}_{\mathrm{ij}}\left(t\right)h_j\left(x_j\left(t\right)\right)=0,i=\mathrm{1,2},\&CenterDot;\&CenterDot;\&CenterDot;,n$

Because Linear independence, so Δ b _Ij(t)=0, to all i, j=1,2 ... .n sets up.According to the Lasalle invariance principle, Δ b _Ij(t)=the 0th, the maximum invariant set of Δ W (t)=0, thereby b _Ij(t)=a _Ij, i, j=1,2 ... the overall attractor of ..n adaptive control system, wherein get b _IjInitial value do N is the maximal value of pixel.To sum up, utilization responding system (3) and adaptive control system (4) realize topological structure parameter a in the discrete time complex network (2) _IjEstimation.

Utilization responding system (3) and adaptive control system (4)

$y_i(t+1)=f_i\left(x_i\left(t\right)\right)+\mathrm{\&epsiv;}\underset{j=1}{\overset{n}{\mathrm{\&Sigma;}}}{b}_{\mathrm{ij}}{h}_j\left(x_j\left(t\right)\right),i=\mathrm{1,2}......n$

b _ij(t+1)=b _ij(t)-k(y _i(t+1)-x _i(t+1)) ^Th _j(x _j(t))，i,j=1,2......n

Wherein when i ≠ j,, then stipulate a if to node i line is arranged from node j _Ij=1, otherwise a _Ij=0; And when i=j,

I, j=1,2.....6 calculates according to (13)

Get 0<k<7.088, then to all i, j=1,2 ... .6, can use b _Ij(t) calculate a _Ij, get k=7 here, initial value is taken as

I, j=1,2 ... ... 6.

Coupled matrix $a_{\mathrm{Ij}}=\frac{1}{N}-k\left[4x_i(1-x_i\left(t\right))\right]-4\mathrm{\&epsiv;}{x}_i{(t+1)}^T{x}_j\left(t\right)[1-x_j\left(t\right)]$

Step 3.3: obtain predicting the outcome of the electric remaining life of isolating switch;

Can know by Fig. 6, prediction electric remaining life of isolating switch and actual circuit breaker gas remaining life coefficient curve, horizontal ordinate is represented service time; Ordinate is represented remaining life; Promptly use number of times, 100% expression 20000 times, predicated error is in ± 5%.

Step 4: predicting the outcome of the electric remaining life of isolating switch is sent to the remote dispatching terminal through transport module, so that the maintenance personal in time overhauls.

Claims (2)

1. the electric remaining life prediction unit of isolating switch comprises isolating switch, it is characterized in that: comprise signal acquisition module, A/D converter, processor, translation circuit, industrial computer and transport module;

Said signal acquisition module comprises voltage transformer (VT), current transformer, displacement transducer, baroceptor and insulation tester; Current transformer is the device that is used to gather the dropout current of isolating switch; Voltage transformer (VT) is the superpotential device that is used to gather isolating switch; Displacement transducer is to be used to gather the access times of isolating switch and the device of closing time; Baroceptor is the device that is used to gather isolating switch place ambient pressure, and insulation tester is the device that is used to gather the isolating switch insulating coefficient;

The signal of signal acquisition module collection exports the input end of A/D converter to; The output terminal of A/D converter is connected with the I/O port of processor; The data-switching pin of translation circuit is connected with the serial ports of processor, the serial ports of the equal connection processing device of the input end of input end of industrial control machine and transport module.

2. adopt the electric remaining life prediction unit of the described isolating switch of claim 1 to carry out the electric remaining life forecast method of isolating switch, it is characterized in that: comprise the steps:

Step 1: gather closing time, superpotential, dropout current, the ambient pressure of isolating switch, access times, insulating coefficient;

Step 2: convert the analog quantity that collects to digital quantity, deliver to processor;

Step 3: the electric remaining life of isolating switch is predicted;

Step 3.1: the data to gathering are carried out Space Reconstruction: in a time series with closing time, superpotential, dropout current, the ambient pressure of the isolating switch that collects; Access times, insulating coefficient are system's input quantity, reconstruct the NLS space that characterizes the electric remaining life of isolating switch;

Step 3.2: in the NLS space that reconstructs, set up mathematical model, describe the electric remaining life of isolating switch, and find the solution this mathematical model based on complex network;

Step 3.3: obtain predicting the outcome of the electric remaining life of isolating switch;

Step 4: predicting the outcome of the electric remaining life of isolating switch is sent to the remote dispatching terminal through transport module, so that the maintenance personal in time overhauls.

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