CN202309397U - Full automatic smart barring system - Google Patents

Abstract

The utility model relates to a full automatic smart barring system, which comprises a sensor calibration system, a barring power system, a parallel sampling system, a phase identification system, a real-time display system, a data filtering system and a data processing system. The sensor calibration system is connected with the barring power system, the barring power system is connected with the parallel sampling system, the parallel sampling system is respectively connected with the phase identification system and the real-time display system, the phase identification system is connected with the data processing system, and the data filtering system is arranged between the data processing system and the real-time display system. The full automatic smart barring system is not affected by any barring methods, is not relative to relation of barring points, phases and barring rotation speed, can meet requirements of fast and high precision continuous barring of any phase of any point, is wide in application range, high in measuring precision, short in barring time consumption and high in barring efficiency.

Description

A kind of fully-automatic intelligent cranking system

Technical field

The utility model relates to technical field of power systems, particularly a kind of fully-automatic intelligent cranking system.

Background technology

Adopt more jiggering mode that following several kinds of situation are arranged at present both at home and abroad: the one, lean on numerous manpowers under unified command commander, the manpower type of drive of direct driving rotor; The 2nd, with steel wire rope rotate the son crane traction drive mode; The 3rd, the electric barring mode that adopts the motor coil charging to drive.But their common shortcomings are: it is inaccurate to survey number, can't a step is whole puts in place, causes repeatedly manyly with invalid work, and labour intensity is big, inefficiency, and on-the-spotly arrange numerous and diversely, there is certain problem in safety in production with quality of labor.Traditional jiggering mode can not be rotated rotor under free state; And when rest point, be in abundant free state, influence the precision of measurement data, even more serious is because of axle be that broken line produces huge the resistance stress and the moment of resistance; Cause excess load to drive, its accident potential is troubling.Electric automatic barring gear technology appears on the market recently; This device combines the mechanics principle that deceleration increases the square and the moment of couple; Sufficiently and reasonably utilize the unit geometrical relationship,, realize that the moment of couple drives rotor and puts in place through the otherwise effective technique transition; The nimble clutch of shaft coupling guarantees axially, radially noiseless.Although appearing at of this device technique improved the jiggering condition to a certain extent, optimized labour intensity, be subject to present jiggering method, it not is clearly that its efficient improves.

No matter the jiggering field in the hydroelectric plant is domestic at present, still external; Most Hydropower Unit, like Three Gorges Left Bank Hydropower Station 700MW unit, its jiggering process is still 8 the traditional isogonism jiggering methods that adopt; Promptly be in each typical measuring point, the circumference unification is divided into 8 points, and number consecutively in the direction of the clock; Stop at each numbering place successively during jiggering, read the dial gauge reading of main shaft, calculate the maximum throw and the orientation at each numbering position then through described point at each numbering place.But this method is very big with technical staff's professional skill and field experience relation, and result of calculation often varies with each individual, and usually produces dispute.Therefore cause size and the orientation of calculating the jiggering throw to have certain blindness, the size and Orientation that has directly influenced next step main rotating parts alignment and axis treating capacity is confirmed.In today of computer and the develop rapidly of photoelectric sensor measuring technique, these method of measurement hinder and have restricted the raising of hydropower installation quality to a certain extent, are embodied in:

(1) traditional measurement method efficient is low.When measuring each rotating part throw of unit, the variation that dial gauge is kept watch in manual work need be set in each measuring position with dial gauge;

(2) the traditional measurement method confidence level is relatively low.Be both a dial gauge, everyone is because of the difference of sensation, and often there is difference more or less in the data of measuring, causes measurement result that very big-difference is arranged because these measure differences sometimes.

(3) the traditional measurement method measuring point is less.Because the dial gauge reading that adopts, the measuring point of jiggering generally all is isogonism 8 points at present, and measurement result seems that some is coarse.

(4) the traditional measurement method rest point is inaccurate.Present jiggering instrument often is difficult to control rotating speed, rest point or leading, or lag behind, thereby it is inaccurate to cause surveying number, causes the data error that records big.

In addition, in view of the jiggering data processing method, the method that adopts both at home and abroad at present mainly contains: the one, and the manual tracing of jiggering data, the 2nd, adopt least square method that data are carried out Fitting Analysis and handle.But their basis all is based on 8 of equiphases or 16 jiggering data, and for the jiggering data of arbitrary phase, any point number, it is powerless just to seem.

The utility model content

The purpose of the utility model is the shortcoming that overcomes prior art; A kind of fully-automatic intelligent cranking system is provided, does not receive the influence of jiggering mode, count with jiggering, phase place and jiggering rotary speed relation is irrelevant; Can adapt to the jiggering requirement of arbitrary phase, any point number; Intelligent strong, the jiggering method novel, not only improved the efficient of jiggering greatly, also significantly improved the precision of measuring.

For reaching above-mentioned purpose; A kind of fully-automatic intelligent cranking system of the utility model, the technical scheme below adopting: the said cranking system of the utility model comprises sensor calibration system, jiggering dynamical system, parallel sampling system, phase identification system, real-time display system, data filtering system and data handling system; Said sensor calibration system connects the jiggering dynamical system; Said jiggering dynamical system connects parallel sampling system; Said parallel sampling system connects phase identification system and real-time display system respectively; Said phase identification system is connected in data handling system, is provided with the data filtering system between said data handling system and the real-time display system;

Said sensor calibration system is the unit that the transducer of each passage before the jiggering is demarcated;

Said jiggering dynamical system is to make rotor be in the auto-barring power-equipment of the free state of suspention fully;

Said parallel sampling system is the unit of gathering measurement data, adopts multichannel independent parallel mode to gather;

Said phase identification system is the unit that adopts measuring point phase identification technology that sampling measuring point phase place and initial phase are carried out mark and identification respectively;

Said real-time display system is to be used for the continuous unit that shows of the data of adjacent twice collection;

Said data filtering system adopts the software and hardware filtering technique, through behind filter circuit and all kinds of electromagnetic interference signals of FFT filtering technique filtering delivering to data the unit of data handling system;

Said data handling system is the unit that image data is handled, and adopts improved genetic algorithm GA to obtain three parameters of throw sine wave curve, and said parameter is throw amplitude, throw initial phase and throw DC component.

Further; The transducer that said sensor calibration system is demarcated comprise photoelectricity phase demodulation transducer, on lead eddy current sensor, flange eddy current sensor and water and lead eddy current sensor, said photoelectricity phase demodulation transducer, on lead eddy current sensor, flange eddy current sensor and water and lead eddy current sensor and be arranged at respectively on the different passages.

Further; Said parallel sampling system is provided with a plurality of acquisition modules; Base controller, a plurality of acquisition channel and in order to the input analog signal is amplified and the programmable amplifier of filtering when each acquisition module is equipped with one, the passage of each programmable amplifier is independently.

Further, trigger bus through clock between the said acquisition module and connect, said acquisition channel all triggers and record simultaneously; Said programmable amplifier connects the AD modular converter, and said AD modular converter deposits in the memory after with the amplified analog signal digitlization.

Further, be provided with data buffer in the said real-time display system.

Further; Said data filtering system is provided with low pass filter; The signal sampling modulate circuit of said low pass filter comprises the amplifying circuit of being made up of first operational amplifier and its peripheral circuit, low-pass filter circuit of being made up of second operational amplifier and its peripheral circuit and the emitter follower circuit of being made up of the 3rd operational amplifier and its peripheral circuit.

Further, the rotating shaft upper edge circumferential directions plural number light belt paper of said cranking system, the distance between the said light belt paper is impartial; Said phase identification system and photoelectricity phase demodulation transducer, on lead eddy current sensor and under lead the eddy current sensor synchronized sampling.

Further, the low-pass filter circuit of said second operational amplifier and its peripheral circuit composition constitutes second order voltage controlled voltage source Butterworth low-pass active filter.

Further, said low-pass filter circuit comprises two RC filter circuits, and said second operational amplifier is the method for joining together.

The beneficial effect of the utility model is: the described fully-automatic intelligent cranking system of the utility model can satisfy any point number and arbitrary phase fast, the needs of the continuous jiggering of high accuracy; This system has universality efficient height, precision is high, intelligent strong, characteristics such as jiggering method novelty.This system is not influenced by any jiggering mode; Count with jiggering, phase place and jiggering rotary speed relation is irrelevant; Can adapt to the jiggering requirement of arbitrary phase, any point number; Not only improved jiggering efficient greatly, also significantly improved certainty of measurement, solved traditional jiggering method and had problems such as the cloth number of spots is little, rest point is inaccurate, the reading subjectivity is strong, jiggering length consuming time.Compare with present jiggering, this cranking system has following characteristics:

(1) highly versatile

The utility model is applicable to the different units of hydroelectric plant, be applicable to the different jiggering modes of present existence, so versatility is very strong.

(2) efficient is high

This cranking system is based on eddy current sensor and photoelectricity phase demodulation sensor technology; The jiggering process can be carried out continuously; Do not need the rest point reading, the jiggering time shortens greatly, shortens within 2 hours from original 2～5 days (to comprise the transducer Installation and Debugging time); Shorten the straight line duration so greatly, increased energy output.The required number of jiggering can reduce by 2～3 people from tens people, not only improved efficient greatly, and the labour intensity that has reduced significantly.

(3) precision is high

The described auto-barring method of the utility model adopts any rotation angle; The continuous jiggering technology of arbitrary phase; Measuring point data is considerably beyond 8 typical position of present equiphase, and the jiggering method comprises more useful information, adds the use of upper sensor; Avoided reading the randomness of dial gauge, the jiggering precision improves a lot.

(4) intelligent strong

This cranking system has stronger intelligent: the jiggering process can be continuous, can be again interrupted; The macro-axis rotating speed can be at the uniform velocity, again can right and wrong at the uniform velocity; The measuring point phase place can be to wait corner, can be again the non-corner that waits; This system and jiggering mode and unit pattern are irrelevant in addition.

(5) the jiggering method is novel

The jiggering method of the utility model has replaced traditional precision lower, and 8 isogonism jiggering methods that waste time and energy make the jiggering method variation of essence occur.This jiggering method adopts photoelectricity phase demodulation transducer identification light belt phase place, adopts eddy current sensor to replace the dial gauge Displacement Measurement, makes that the jiggering measurement data is abundant and the jiggering process is continuous, does not need rest point, has improved the jiggering efficiency and precision.

Description of drawings

Shown in Figure 1 is the configuration diagram of the utility model total system;

Shown in Figure 2 is the utility model parallel acquisition access diagram;

Shown in Figure 3 is the transducer calibration flow chart of the utility model transducer calibration unit;

Shown in Figure 4 is the utility model light belt location recognition core algorithm flow chart;

Shown in Figure 5 is the utility model initial phase identification process figure;

Shown in Figure 6 is the genetic algorithm flow chart of the utility model jiggering data handling system;

Real-time continuous sampling interface for the demonstration of the utility model real-time display system shown in Figure 7.

Embodiment

For further understanding characteristic, technological means and the specific purposes that reached, the function of the utility model; Resolve the advantage and spirit of the utility model, by the detailed description of the utility model further being understood below in conjunction with accompanying drawing and embodiment.

Shown in Figure of description 1, the utility model comprises sensor calibration system 1, jiggering dynamical system 2, parallel sampling system 3, phase identification system 4, real-time display system 5, data filtering system 6 and data handling system 7.Sensor calibration system 1 is the unit that the transducer of each passage before the jiggering is demarcated; Said sensor calibration system 1 connects jiggering dynamical system 2; Jiggering dynamical system 2 is auto-barring power-equipments, can make rotor be in the free state of suspention fully, guarantees axially, radially noiseless; Said jiggering dynamical system 2 connects parallel sampling system 3, and said parallel sampling system 3 is unit of gathering measurement data, adopts multichannel independent parallel mode to gather; Said parallel sampling system 3 connects phase identification system 4 and real-time display system 5 respectively, and phase identification system 4 is the unit that solve measuring point phase place and initial phase identification, and employing measuring point phase identification technology is carried out mark and identification to the initial phase of sampling measuring point; Real-time display system 5 is to be used for the continuous unit that shows of the data of adjacent twice collection; Said phase identification system 4 is connected in data handling system 7; Data handling system 7 is unit that image data is handled; Adopt improved genetic algorithm GA to obtain three parameters of throw sine wave curve, said parameter is throw amplitude, throw initial phase and throw DC component; Be provided with data filtering system 6 between said data handling system 7 and the real-time display system 5; Data filtering system 6 adopts the software and hardware filtering technique, through behind filter circuit and all kinds of electromagnetic interference signals of FFT filtering technique filtering delivering to data the unit of data handling system 7.

The transducer that said sensor calibration system 1 is demarcated comprise photoelectricity phase demodulation transducer, on lead eddy current sensor, flange eddy current sensor and water and lead eddy current sensor, said photoelectricity phase demodulation transducer, on lead eddy current sensor, flange eddy current sensor and water and lead eddy current sensor and be arranged at respectively on the different passages.

Shown in Figure of description 2; Said parallel sampling system 3 is provided with a plurality of acquisition modules 8, base controller when each acquisition module 8 is equipped with, a plurality of acquisition channels and programmable amplifier 10; Said programmable amplifier 10 is in order to amplify and filtering the input analog signal; Each programmable amplifier 10 passage is independently, and programmable amplifier 10 gains are controlled the range switching through relay and software, so that adapt to the various signals amplitude range.Trigger bus through clock between the said acquisition module 8 and connect, said acquisition channel all triggers and record simultaneously; Said programmable amplifier 10 connects AD modular converter 9, and 9 pairs of amplified analog signal of said AD modular converter are carried out digitlization and deposited the result after transforming in the memory in.

Be provided with data buffer in the said real-time display system 5.Said data filtering system 6 is provided with low pass filter; The amplifying circuit of forming from voltage signal first operational amplifier of process and the peripheral circuit thereof of transducer amplifies; The low-pass filter circuit of forming through second operational amplifier and peripheral circuit thereof again carries out filtering, and the emitter follower circuit of forming through the 3rd operational amplifier and peripheral circuit thereof at last carries out being sent to after the impedance matching each passage of said parallel employing system 3.The low-pass filter circuit that second operational amplifier and peripheral circuit thereof are formed constitutes second order voltage controlled voltage source Butterworth low-pass active filter, and said second operational amplifier is for joining method, and low-pass filter circuit comprises two RC filter circuits.The input impedance of second order voltage controlled voltage source Butterworth low-pass active filter is very high, and output impedance is very low, is equivalent to a voltage source, and its circuit performance is stable, and gain is regulated easily.The useful signal that said second order voltage controlled voltage source Butterworth low-pass active filter allows to be lower than 1Hz passes through, and the interference signal that will be higher than 1Hz all filters, and has greatly strengthened the antijamming capability of system.

Based on above-mentioned fully-automatic intelligent cranking system, described a kind of fully-automatic intelligent jiggering method comprises the steps:

1., sensor calibration system 1 is demarcated the transducer of each passage through calibrating table, and is stored related data;

2., after transducer calibration finishes, start jiggering dynamical system 2, along with the rotation of jiggering dynamical system 2, parallel sampling system 3 beginning image data, all independent parallel passages trigger bus by clock and come synchronously, trigger simultaneously and record data.

3., the data of said parallel sampling system 3 collections are sent to phase identification system 4 and real-time display system 5; Said phase identification system 4 adopts the phase identification technology, through light belt paper location recognition core algorithm and cooperate synchronized sampling to confirm the phase place of initial phase He each sampled point of sampled point;

4., said real-time display system 5 is presented at the data of parallel sampling system 3 collections continuously on the sampling interface of real-time display system 5 through the set data buffer of the software systems of real-time display system 5, and data is reached data filtering system 6;

5., low pass filter and the FFT digital filter filtering interference signals of said data through data filtering system 6, said data filtering system 6 reaches said data handling system 7 with filtered data;

6., said data handling system 7 data that receive the data handled through data filtering system 6 and handle through said phase identification system 4, said data handling system 7 handles and obtains the throw curve through improved genetic algorithm GA to data.

The jiggering method of the utility model is novel, has adopted photoelectricity phase demodulation transducer identification light belt phase place, adopts eddy current sensor to replace the dial gauge Displacement Measurement, makes the jiggering measurement data abundant and the jiggering process is continuous, does not need rest point.Shown in Figure of description 3, the step of the demarcation of the demarcation of transducer being adopted in 1. in said step is following:

1.-1 step S11, at first select to demarcate passage, sensor installation and selected range;

1.-2 step S12, Displacement Measurement surveying measured displacement as standard value input standard value hurdle, begin to gather output displacement corresponding voltage value and draw sampled point according to displacement and magnitude of voltage;

1.-3 step S13, confirm whether sampling finishes, if then through least square fitting pickup wire linearity curve, obtain the calibration coefficient sensitivity a and zero deviator b that need; Then return step if not 1.-2;

1.-4 whether step S14, checking calibration coefficient and checking be effective, finishes if effectively then demarcate, and input sensitivity a and zero deviator b verify; Then return step 1.-2 as if invalid;

1.-5 step S15, confirm whether demarcation finishes, if then preserve the calibration coefficient of all passages, then return step if not 1.-4.

Shown in Figure of description 4, for the 3. described phase discrimination technique of step, its light belt location recognition core algorithm has following steps:

3.-1 step S31, overall static variable, Acc=0, Count=0, LastData=0 are set; The sampling length of clock cycle is set, and start clock wherein Acc be accumulative total sampling number to present clock, Cou nt is a quantity, LastData is last photooptical data;

3.-2 the data of parallel channel are read on step S32, reception parallel sampling system 3 backstages; Whether deposit the actual return value number of the fifo buffer reading in the parallel sampling system 3 in variables A ctualNum and judgment variable ActualNum is zero; If zero then following one-period triggers, continuing to deposit in variables A ctualNumActualNum is the actual return value number of sampled data; If non-vanishing data of then decomposing each sampling channel of this clock cycle of record;

3.-3 step S33, the record sampled data of each passage between whole sampling period; Extract the sampled data chData [n] [k] of photoelectricity this clock cycle of passage; And cyclic variable Cycle=0 is set; With cyclic variable Cycle and variables A ctualNum/ChannelNum relatively, if 3.-2 cyclic variable Cycle greatly then returns step, if cyclic variable Cycle little then get into step 3.-4chData [n] [k] stored the sampled data of this clock cycle photoelectricity passage; Wherein n represents the photoelectricity passage, and all data that k read from fifo buffer for this clock cycle are divided by all port numbers; Cycle is by being gathered the photooptical data subscript; ChannelNum is a total number of channels.

3.-4 step S34, circulation extraction photoelectricity passage adjacent two data and convert magnitude of voltage to and be kept among FirstData and the SecondData successively; FirstData is first photooptical data; SecondData is second photooptical data that is adjacent; Judge that more 3.-6 whether Cycle is zero, if 3.-5 zero get into step, then get into step as if non-vanishing.When photoelectric sensor process light belt paper, output voltage 5v, other situation is output as 0v; Because the photoelectricity initial data that buffer is preserved is 16 to be binary system; When the light belt location recognition was extracted adjacent two photooptical datas, need convert physical quantity earlier to was magnitude of voltage, and conversion formula is following:

FirstData＝ch?Data[n][Cycle]＊rang/32768(1)

Second?Data＝ch?Data[n][Cycle+1]＊rang/32768(2)

Wherein: n is the photoelectricity channel number, and Cycle and Cycle+1 are adjacent two photooptical data subscripts, and rang is the range (5v) of photoelectric sensor, and 32768 refer to 2 16 powers.

3.-5 step S35, judge this periodic light electric channel is whether first sampled data is light belt paper LastData＜0.5 and FirstData＞3; Be that last photooptical data of previous clock cycle is a low level; First photooptical data of this clock is a high level; So first sampling sequence number that is labeled as this clock of light belt leading edge, then write down all light belt positions such as formula (3):

paperLocatio?n[Count++]＝Acc/ChannelNum (3)

And this clock cycle light belt position of mark such as formula (4):

mark[marknum++]＝0，(4)

Otherwise get into step 3.-7;

3.-6 step S36, judge this clock cycle photoelectricity passage light belt paper position FirstData＜0.5 and Second Data＞3; Be that previous photooptical data is a low level; An adjacent back photooptical data is a high level; The start edge of the photooptical data position light belt paper that this moment is corresponding be can judge, all light belt positions such as formula (5) then write down:

paperLocation[Count++]＝Acc/ChannelNum+Cycle+1(5)

And this clock cycle light belt position of mark such as formula (6):

mark[marknum++]＝Cycle+1(6)

Otherwise progressive step 3.-7;

3.-7 step S37, calculator add 1; Get into peek circulation next time; And last photooptical data LastData of minute book clock cycle, be updated to present clock accumulative total sampled point Acc=Acc+ActualNum, and return step and 3.-2 carry out next periodic event triggering.

For initial phase identification, the utility model in the light belt paper of arranging optional pastes an identical light belt paper in that adjacent to then, just can judge the initial phase of measuring point since so dexterously.Shown in Figure of description 5, at first read the photoelectricity image data, calculate the distance between the adjacent photoelectricity paper and be kept at the result among the dis [i], the value that cyclic variable i is set is 0; Judge i more whether less than the number Gd N u m of light belt paper, judge jiggering adjacent light belt paper beeline in one-period; Judge at last whether the initial phase of jiggering in one-period is first photooptical data Pr=0; If then first photooptical data axle labelled notation is 1; Then first photooptical data axle labelled notation is GdNum+1-Pr if not; Wherein GdNum is the light belt number of layout, and Pr is record initial phase light belt paper position number.

Initial phase identification mainly is to calculate the distance of all adjacent two light belt paper the photoelectricity sampling data in the jiggering one-period to be meant that in fact the time sampling between adjacent two light belt paper counts; Thereby find out wherein the shortest distance, can confirm that so just the leading edge of last light belt of adjacent two light belts that distance is the shortest is an initial phase.

Be provided with a data buffer for the 4. middle real-time display system 5 of step again in the software systems the inside, so just can guarantee the effect that backstage of peek, a foreground shows continuously, real-time continuous is sampled the interface shown in Figure of description 7.

For the software filtering of step in 5. is to realize digital filtering through fft algorithm; The FFT operation method is: from input X (n) beginning, calculate step by step earlier, carrying out M level computing power exponent altogether is M, and sequence length is n., when carrying out the computing of L level, obtain 2 successively ^L-1Individual different twiddle factor is whenever obtained a twiddle factor, has just calculated its correspondence all 2 _M-LIndividual butterfly is finally exported result of calculation Y (n), therefore obtains the frequency spectrum of signal with FFT, removes unwanted portions of the spectrum more as required, gets final product with the IFFT recovering signal then.

Shown in Figure of description 6, the data handling system 7 of step in 6. handles and obtains the throw curve through improved genetic algorithm GA to image data.The concrete steps of genetic algorithm GA are following:

6.-1 step S61, parameter initialization.Initiation parameter mainly comprises the genetic algorithm Control Parameter: population scale (population), chromosome length (I_chromosome), reproductive order of generation (generations), crossover probability (p_crossover), variation probability (p_mutation).

6.-2 step S62, confirm initial population.Be a sine curve on the throw curve theory, therefore adopt sinusoidal fitting process, in addition, because jiggering one circle is one-period, so amplitude, initial phase and DC component are three decision variables to be optimized.Although genetic algorithm to not restriction of initial value, for reducing the search volume of genetic algorithm, can tentatively be confirmed a datum mark according to the maximum throw data of jiggering last time, launch to the left and right sides respectively then, form the search volume of genetic algorithm.

6.-3 step S63, initial population is encoded.The utility model adopts binary coding, and according to required precision, each parameter can be represented with 10 binary digits, therefore expresses amplitude, initial phase and three parameter A of DC component, θ ₀, D chromosome finally constitute by 30 bit strings.

6.-4 step S64, decoding at first evenly sections every chromosome, decodes respectively according to the hunting zone of each parameter, and its decoding formula is following:

$\mathrm{decod}{e}_i={\min }_i+\frac{{\mathrm{bin}}_i}{2^p-1}({\max }_i-{\min }_i)i=\mathrm{1,2,3}---\left(7\right)$

Wherein p is the code length (getting p=10) of each parameter, and mini, maxi are respectively minimum value and the maximum in A, θ, the D search volume, and bini is corresponding bigit.

6.-5 step S65, calculate fitness, the selection of fitness function.Theoretical sine curve is if data acquisition system, is established throw with the fixing sampling interval:

F＝Asin(θ _i+θ ₀)+D (8)

Wherein: A, θ ₀, D is respectively the throw amplitude, initial phase and DC component.

Choose suitable amplitude, initial phase and DC component parameter make should sine wave with measure sequence corresponding points Y (θ _i) between residual sum of squares (RSS) minimum.That is:

$R=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{(F\left({\mathrm{\θ}}_i\right)-Y\left({\mathrm{\θ}}_i\right))}^2\→\min ---\left(9\right)$

Monodrome, continuous, non-negative and maximized requirement are satisfied in design according to fitness function, so the utility model is designed to following form with fitness function:

$\mathrm{Fitness}=\frac{K}{R}---\left(10\right)$

The sine wave three parameter fitting methods based on genetic algorithm that the utility model proposes have not only realized the sinusoidal match of continuous sampling data, have broken through the limitation of 8 jiggerings of traditional isogonism, and have had very high precision.

In sum; The described fully-automatic intelligent cranking system of the utility model can satisfy the needs of the continuous jiggering of quick high accuracy of any point number and arbitrary phase; Intelligent strong, the jiggering method is novel, makes the jiggering method variation of essence occur; Reduce labour intensity, improved the jiggering efficiency and precision greatly.

The above embodiment has only expressed the part execution mode of the utility model, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the utility model scope.Should be pointed out that for the person of ordinary skill of the art under the prerequisite that does not break away from the utility model design, can also make some distortion and improvement, these all belong to the protection range of the utility model.Therefore, the protection range of the utility model should be as the criterion with accompanying claims.

Claims (9)

1. fully-automatic intelligent cranking system, it is characterized in that: said cranking system comprises sensor calibration system (1), jiggering dynamical system (2), parallel sampling system (3), phase identification system (4), real-time display system (5), data filtering system (6) and data handling system (7); Said sensor calibration system (1) connects jiggering dynamical system (2); Said jiggering dynamical system (2) connects parallel sampling system (3); Said parallel sampling system (3) connects phase identification system (4) and real-time display system (5) respectively; Said phase identification system (4) is connected in data handling system (7), is provided with data filtering system (6) between said data handling system (7) and the real-time display system (5);

Said sensor calibration system (1) is the unit that the transducer of each passage before the jiggering is demarcated;

Said jiggering dynamical system (2) is to make rotor be in the auto-barring power-equipment of the free state of suspention fully;

Said parallel sampling system (3) is the unit of gathering measurement data, adopts the multichannel independent parallel to gather;

Said phase identification system (4) is the unit that sample measuring point phase place and initial phase are carried out mark and identification respectively;

Said real-time display system (5) is to be used for the continuous unit that shows of the data of adjacent twice collection;

Said data filtering system (6) is through behind all kinds of electromagnetic interference signals of filter circuit filtering delivering to data the unit of data handling system (7);

Said data handling system (7) is the unit that image data is handled.

2. a kind of fully-automatic intelligent cranking system according to claim 1; It is characterized in that: the transducer that said sensor calibration system (1) is demarcated comprise photoelectricity phase demodulation transducer, on lead eddy current sensor, flange eddy current sensor and water and lead eddy current sensor, said photoelectricity phase demodulation transducer, on lead eddy current sensor, flange eddy current sensor and water and lead eddy current sensor and be arranged at respectively on the different passages.

3. a kind of fully-automatic intelligent cranking system according to claim 1; It is characterized in that: said parallel sampling system (3) is provided with a plurality of acquisition modules (8); Base controller, a plurality of acquisition channel and in order to the input analog signal is amplified and the programmable amplifier (10) of filtering when each acquisition module (8) is equipped with one, the passage of each programmable amplifier (10) is independent.

4. a kind of fully-automatic intelligent cranking system according to claim 3 is characterized in that: trigger bus through clock between the said acquisition module (8) and connect, said acquisition channel all triggers and record simultaneously; Said programmable amplifier (10) connects AD modular converter (9), and said AD modular converter (9) deposits in the memory after with the amplified analog signal digitlization.

5. a kind of fully-automatic intelligent cranking system according to claim 1 is characterized in that: said real-time display system is provided with data buffer in (5).

6. a kind of fully-automatic intelligent cranking system according to claim 1; It is characterized in that: said data filtering system (6) is provided with low pass filter; The signal sampling modulate circuit of said low pass filter comprises the amplifying circuit of being made up of first operational amplifier and its peripheral circuit, low-pass filter circuit of being made up of second operational amplifier and its peripheral circuit and the emitter follower circuit of being made up of the 3rd operational amplifier and its peripheral circuit.

7. a kind of fully-automatic intelligent cranking system according to claim 1 is characterized in that: the rotating shaft upper edge circumferential directions plural number light belt paper of said cranking system, and the distance between the said light belt paper is impartial; Said phase identification system (4) and photoelectricity phase demodulation transducer, on lead eddy current sensor and under lead the eddy current sensor synchronized sampling.

8. a kind of fully-automatic intelligent cranking system according to claim 6 is characterized in that: said second operational amplifier constitutes second order voltage controlled voltage source Butterworth low-pass active filter with the low-pass filter circuit that its peripheral circuit is formed.

9. a kind of fully-automatic intelligent cranking system according to claim 7 is characterized in that: said low-pass filter circuit comprises two RC filter circuits, and said second operational amplifier is the method for joining together.

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