CN202676876U - Device for predicting remaining service lifetime of breaker operating mechanism - Google Patents

Abstract

The utility model relates to a device for predicting the remaining service lifetime of a breaker operating mechanism. The device comprises a breaker, a signal collection device, a data collection module, a central processing unit, an industrial personal computer and a wireless communication module. Signals collected by the signal collection device are output to an input terminal of the data collection module, an output terminal of the data collection module is connected with a universal I/O (Input/Output) interface of the central processing unit, and an output terminal of the central processing unit is connected with an input terminal of the industrial personal computer and an input terminal of the wireless communication module. The closing time of the breaker, the coil voltage of a solenoid valve, the coil current of the solenoid valve, the number of use, the mechanical vibration, the mechanical noise, the ambient pressure, the ambient temperature and the ambient humidity can be directly measured. Through using the device to predict the service lifetime of the breaker, errors caused by modeling and parameter selection by a conventional method are avoided. The time sequence generated by collection quantity is used as an input of the model, so that the input quantity is simple and accurate to extract and the prediction efficiency is high.

Description

A kind of breaker operation mechanism residual service life prediction device

Technical field

The utility model belongs to breaker technical field, particularly a kind of breaker operation mechanism residual service life prediction device.

Background technology

Relevant statistics shows, transformer station's maintenance cost over half be flower on switch, and 60% be light maintenance and regular maintenance 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 a lot of years rear renewals of many parts operations occur often, and owing in time not finding, 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.

Summary of the invention

For the deficiencies in the prior art, the utility model provides a kind of breaker operation mechanism residual service life prediction device.

A kind of prediction unit of breaker operation mechanism residual life comprises isolating switch, signal pickup assembly, data acquisition module, central processing unit, industrial computer and wireless communication module;

Described signal pickup assembly comprises voltage transformer (VT), current transformer, temperature sensor, humidity sensor, baroceptor, displacement transducer and digital sound level meter;

Voltage transformer (VT) is used for the voltage of the electromagnetic valve coil of collection isolating switch, current transformer is used for the electric current of the electromagnetic valve coil of collection isolating switch, temperature sensor is used for gathering isolating switch place environment temperature, humidity sensor is used for gathering isolating switch place ambient humidity, baroceptor is used for gathering isolating switch place ambient pressure, displacement transducer is used for gathering the closing time of isolating switch, and digital sound level meter is used for gathering the mechanical noise of isolating switch place environment.

Data acquisition module is used for the signal of signal pickup assembly collection is carried out the AD conversion.

Collection capacity after central processing unit is changed AD carries out data to be processed.

Wireless communication module is used for carrying out data communication with the remote dispatching terminal.

The connection of this device is: displacement transducer is installed on the pull bar of breaker operation mechanism; The input end of the output terminal connection data acquisition module of each sensor, the output terminal of data acquisition module connect the general purpose I of central processing unit/O interface, and the industrial computer input end is connected with the serial ports of central processing unit with the wireless communication module input end and is connected.

The prediction of adopting the prediction unit of described breaker operation mechanism residual life to carry out the breaker operation mechanism residual life is carried out as follows:

Step 1: the closing time, electromagnetic valve coil voltage, line solenoid valve loop current, atmospheric pressure value, mechanical noise, mechanical vibration, access times, environment temperature and the ambient humidity that gather isolating switch;

Gather the electromagnetic valve coil voltage and current of isolating switch by the voltage transformer (VT) summation current transformer, gather the temperature and humidity of isolating switch place environment by temperature sensor and humidity sensor, gather the atmospheric pressure value of isolating switch place environment by baroceptor, digital sound level meter gathers the mechanical noise of isolating switch place environment, and displacement transducer gathers closing time, access times and the mechanical vibration of isolating switch.

Step 2: the simulating signal that collects is carried out the A/D conversion, deliver to central processing unit;

Step 3: the breaker operation mechanism residual life is predicted;

Step 3.1: the data that gather are carried out Space Reconstruction, in a time series with closing time, electromagnetic valve coil voltage, line solenoid valve loop current, atmospheric pressure value, mechanical noise, mechanical vibration, access times, environment temperature and the ambient humidity of the isolating switch that collects as system's input quantity, reconstruct the space of the nonlinear system that characterizes the isolating switch residual life;

Step 3.2: set up and describe the breaker operation mechanism residual life based on the mathematical model of complex network, and find the solution this mathematical model;

Step 3.3: obtain predicting the outcome of breaker operation mechanism residual life;

Step 4: predicting the outcome of breaker operation mechanism residual life is sent to the remote dispatching terminal by wireless communication module, so that the maintenance personal overhauls.

Beneficial effect:

Breaker operation mechanism residual service life prediction device of the present utility model, directly measure the closing time of isolating switch, electromagnetic valve coil voltage, the line solenoid valve loop current, access times, mechanical vibration, mechanical noise, ambient pressure, environment temperature and ambient humidity are as input quantity, and finally utilize sensor, data acquisition module, central processing unit, industrial computer and wireless communication module are realized the isolating switch monitoring in serviceable life, the error that causes when avoiding classic method to set up model and Selecting All Parameters, the time series that generates with collection capacity is as the input of forecast model, foundation is described the breaker operation mechanism residual life based on the mathematical model of complex network, having input quantity extracts simple, accurately high, accuracy is good, the characteristics that forecasting efficiency is high.

Description of drawings:

Fig. 1 the utility model embodiment breaker operation mechanism residual service life prediction device work schematic diagram;

Fig. 2 the utility model embodiment breaker operation mechanism residual service life prediction device structured flowchart;

Data acquisition module and the central processing unit connecting circuit schematic diagram of Fig. 3 the utility model embodiment breaker operation mechanism residual service life prediction device;

Fig. 4 the utility model embodiment breaker operation mechanism predicting residual useful life general flow chart;

Fig. 5 the utility model embodiment adopts the process flow diagram that carries out the breaker operation mechanism predicting residual useful life based on the mathematical model of complex network;

Fig. 6 the utility model embodiment breaker operation mechanism predicting residual useful life curve and actual curve figure;

The complex network structures schematic diagram that adopts in Fig. 7 the utility model embodiment.

Embodiment:

Below in conjunction with accompanying drawing implementation of the present utility model is described further.

A kind of breaker operation mechanism residual service life prediction device as shown in Figure 1, 2, comprises isolating switch, signal pickup assembly, data acquisition module, central processing unit, industrial computer and wireless communication module;

In the present embodiment, the ZW27-17 of Selection of Circuit Breakers vacuum 10kv is example, and this isolating switch used 10 years.

Signal pickup assembly comprises voltage transformer (VT), current transformer, temperature sensor, humidity sensor, baroceptor, displacement transducer and digital sound level meter; Voltage transformer (VT) is selected the JDG4-0.5100000/100 model, current transformer is selected the LZJC-10Q model, and temperature sensor and humidity sensor are selected the PCMini70 model, and baroceptor is selected the PT603 model, displacement transducer CTL, the 5633B digital sound level meter is used in noise testing.

Data acquisition module is selected the TLC254312 bits serial A of TI company/D converter, this device use switching capacity one by one approximation technique finish the A/D transfer process.Owing to being 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 analog input end; CS is 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 power supply; GND is ground.

Central processing unit adopts 51 single-chip microcomputers, selecting model is STC89C51, single-chip microcomputer is the core of whole system, serial a/d converter TLC2543 gathers the simulating signal of input, sampling resolution, ALT-CH alternate channel and output polarity are selected by software, owing to being the serial input structure, can save 51 series monolithic I/O resources, the data communication device of single-chip microcomputer collection is crossed serial ports (10,11 pin) and is converted realization transmission between RS232 level and host computer (industrial computer) to through MAX232.

Industrial computer adopts UNO-3072 Series P entium M/Celeron M built-in industrial control machine, by the serial port that single-chip microcomputer carries, can realize the serial communication with industrial computer.Serial ports COM1, the COM2 that industrial computer provides adopts 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 from TTL with high-low level.For realizing the industrial computer interface or being connected with the TTL device (such as single-chip microcomputer) of terminal, must between RS-232 and TTL circuit, carry out the conversion of level and logical relation, adopt translation circuit to carry out level and logical relation conversion in the present embodiment, translation circuit is selected the chip MAX232 of a compatible RS232 standard of being released by Texas Instruments (TI), this device comprises 2 drivers, 2 receivers and a voltage generator circuit, and this voltage generator circuit provides the TIA/EIA-232-F level.This device meets the TIA/EIA-232-F standard, and each receiver becomes 5V TTL/CMOS level with the TIA/EIA-232-F level conversion, and each transmitter becomes the TIA/EIA-232-F level with the TTL/CMOS level conversion.

Wireless communication module adopts H7000 series wireless communication system.

As shown in Figure 3, the concrete connection of this device is: displacement transducer is installed on the pull bar of breaker operation mechanism, and the output terminal of each device is connected respectively to the input end AIN0-AIN6 of TLC2543 in the signal pickup assembly, the output terminal EOC of TLC2543, CLK, DIN, DOUT,

Be connected respectively to the P10 of 51 single-chip microcomputers, P11, P12, P13, P14 pin.9 pins (R2out) of 10 pins (RXD) of single-chip microcomputer STC89C51,11 pins (TXD) and translation circuit MAX232 with are connected pin (T2in) and are connected, the industrial computer input end is connected input end and is connected with the single-chip microcomputer output terminal respectively with wireless communication module; The electric information of isolating switch and mechanical information carry out synchronized sampling, maintenance, A/D via corresponding signal pickup assembly and convert digital signal to, send into calculating and data processing that single-chip microcomputer is classified, and data are delivered to wireless communication module, carry out communication with remote dispatching.

Adopt above-mentioned breaker operation mechanism residual service life prediction device to carry out the breaker operation mechanism predicting residual useful life, its flow process comprises the steps: as shown in Figure 4

Step 1: the closing time, electromagnetic valve coil voltage, line solenoid valve loop current, atmospheric pressure value, mechanical noise, mechanical vibration, access times, environment temperature and the ambient humidity that gather isolating switch;

With closing time, electromagnetic valve coil voltage, the line solenoid valve loop current, atmospheric pressure value, mechanical noise, mechanical vibration, access times, environment temperature and ambient humidity are as input quantity; The collecting sample value sees Table 1:

Table 1 collecting sample value

Collecting sample	The collection value
		Closing time	1.3m/s
Electromagnetic valve coil voltage	110/v
		The line solenoid valve loop current	0.1100/A
Atmospheric pressure value	100.5/kpa
		Mechanical noise	0.2dBA
Mechanical vibration	2/s
		Environment temperature
	30/°C
		Ambient humidity	68%
Access times	35

Step 2: the simulating signal that collects is carried out the A/D conversion, deliver to central processing unit;

Step 3: carry out the breaker operation mechanism residual life and predict, its flow process as shown in Figure 5;

Step 3.1: the data that gather are carried out Space Reconstruction, in a time series with closing time, electromagnetic valve coil voltage, line solenoid valve loop current, atmospheric pressure value, mechanical noise, mechanical vibration, access times, environment temperature and the ambient humidity of the isolating switch that collects as system's input quantity, reconstruct the space of the nonlinear system that characterizes the isolating switch residual life; If the system time sequence that gathers is (x ₁, x ₂... x _n), then as shown in Table 1, input quantity number n;

The system space form of reconstruct is:

$\left\{\begin{array}{c}{x}_1=(x_{11},x_{12},......,x_{1N})\\ x_2=(x_{21+\mathrm{\&tau;}},x_{22+\mathrm{\&tau;}},.......,x_{2N+\mathrm{\&tau;}})\\ ........\\ x_i=(x_{\mathrm{<figure-callout\; id="1"\; label="i"\; filenames="HDA00001834113800021.png,HDA00001834113800051.png"\; state="\{\{state\}\}">i</figure-callout>}1+(i-1)\mathrm{\&tau;}},x_{\mathrm{<figure-callout\; id="2"\; label="i"\; filenames="HDA00001834113800021.png,HDA00001834113800051.png"\; state="\{\{state\}\}">i</figure-callout>}2+(i-1)\mathrm{\&tau;}},.......,x_{\mathrm{iN}+(i-1)\mathrm{\&iota;}})\end{array}\right.$

Wherein, x _INBe a related pixel in the data of a certain moment collection, τ is time delay, and N is natural number, x _iBe the phase point in the reconstruction attractor, i=1,2 ..., n;

Step 3.2: set up and describe the breaker operation mechanism residual life based on the mathematical model of complex network, and find the solution this mathematical model;

The space of reconstruct is regarded as the complex network that has two-tier network to consist of by, the ground floor center only has 1 node, and there are 8 nodes at second layer center.Therefore this complex network of the individual node of N (N=9) is arranged is 1 ~ 8 central site network.Foundation is described the breaker operation mechanism residual life based on the mathematical model of complex 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，（2）

X wherein _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, f _i: R ^N→ R ^NExpression node i self evolution function, f _i(x)=and 4x (1-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)), wherein, stiffness of coupling ε=0.005.

Can regard the collection capacity of isolating switch as a complex network, specifically by closing time, electromagnetic valve coil voltage, line solenoid valve loop current, atmospheric pressure value, mechanical noise, mechanical vibration, access times, the network that environment temperature and ambient humidity form, each collection capacity is regarded as a node, and the relation between the node is regarded the limit as, and complex network as shown in Figure 7.

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 directly records, and the topological structure of complex network is unknown.Estimating the topological structure of complex network, specifically is exactly to estimate coupled matrix A=(a _Ij) in element.

System (2) as drive system, is introduced following responding system

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

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 respectively equation (2), (3), (4) are following rectangular

Formula,

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）

Wherein, x _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 A, y _i(t+1) be Y (t+1), x _i(t) ^TBe 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 as a result substitution formula (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, △ 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 represents the mark of a square formation A, and following result is then arranged:

（1）

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）

A∈M _m×n;

(5) if A=is (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, then be denoted as E={x:V=0, x ∈ G}, M are the maximum invariant set of E, V ^-1(c)={ x:V (x)=c, x ∈ R ^NHere Δ b (t)=b _Ij(t)-a _Ij

At last, according to the result of formula (11) trace of a matrix, can get t+1 Lyapunov function W (t+1) constantly:

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-k[H (X (t)) ^TH (X (t))]＜0, for this reason as long as Selecting All Parameters k satisfies following formula

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

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

In maximum positive integer,

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

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

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

Namely

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

Or

$\underset{j=1}{\overset{n}{\mathrm{\&Sigma;}}}\mathrm{\&Delta;}{b}_{\mathrm{ij}}\left(t\right)h_{\mathrm{jk}}\left(x_j\left(t\right)\right)=0,$ i=1,2,…,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 Global Attractor of ..n adaptive control system, wherein get b _IjInitial value be

N is the maximal value of pixel.To sum up, use responding system (3) and adaptive control system (4), realize that to topological structure parameter in the discrete time complex network (2) be coupled matrix a _IjEstimation.

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

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

I, j=1,2.....9 calculates according to (13)

Get 0＜k＜27.0588, then to all i, j=1,2 ... .9, can use b _Ij(t) calculate a _Ij, get k=27 here, initial value is taken as

I, j=1,2 ... ... 9.

Step 3.3: obtain predicting the outcome of breaker operation mechanism residual life;

Present embodiment is selected the ZW27-17 isolating switch of vacuum 10kv, uses 10 years.Predict as shown in Figure 6 breaker operation mechanism residual life and actual isolating switch residual life curve, horizontal ordinate represents service time, and ordinate represents remaining life, namely uses number of times, 100% expression 10000 times, and predicated error is in ± 9%.

Step 4: predicting the outcome of breaker operation mechanism residual life is sent to the remote dispatching terminal by wireless communication module, so that the maintenance personal overhauls.

Claims (9)

1. a breaker operation mechanism residual service life prediction device comprises isolating switch, it is characterized in that: also comprise signal pickup assembly, data acquisition module, central processing unit, industrial computer and wireless communication module;

The signal of signal pickup assembly collection exports the input end of data acquisition module to, the general purpose I of the output terminal connection central processing unit of data acquisition module/O interface, and the output terminal of central processing unit connects industrial computer input end and wireless communication module input end.

2. breaker operation mechanism residual service life prediction device according to claim 1, it is characterized in that: described signal pickup assembly comprises voltage transformer (VT), current transformer, temperature sensor, humidity sensor, baroceptor, displacement transducer and digital sound level meter.

3. breaker operation mechanism residual service life prediction device according to claim 2 is characterized in that: described voltage transformer (VT) is for the device that gathers circuit breaker electric magnet valve coil voltage.

4. breaker operation mechanism residual service life prediction device according to claim 2 is characterized in that: described current transformer is for the device that gathers the line solenoid valve loop current.

5. breaker operation mechanism residual service life prediction device according to claim 2 is characterized in that: described temperature sensor is for the device that gathers isolating switch place environment temperature.

6. breaker operation mechanism residual service life prediction device according to claim 2 is characterized in that: described humidity sensor is for the device that gathers isolating switch place ambient humidity.

7. breaker operation mechanism residual service life prediction device according to claim 2 is characterized in that: described baroceptor is for the device that gathers isolating switch place ambient pressure.

8. breaker operation mechanism residual service life prediction device according to claim 2 is characterized in that: described displacement transducer is for the device that gathers the breaker closing time.

9. breaker operation mechanism residual service life prediction device according to claim 2 is characterized in that: described digital sound level meter is for the device that gathers isolating switch place neighbourhood noise.

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