CN106614234A - High-efficiency energy-saving environment-friendly aquaculture system - Google Patents

High-efficiency energy-saving environment-friendly aquaculture system Download PDF

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Publication number
CN106614234A
CN106614234A CN201710028103.2A CN201710028103A CN106614234A CN 106614234 A CN106614234 A CN 106614234A CN 201710028103 A CN201710028103 A CN 201710028103A CN 106614234 A CN106614234 A CN 106614234A
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China
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aquaculture
fault diagnosis
culturing pool
saving environment
vibration signal
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CN201710028103.2A
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CN106614234B (en
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不公告发明人
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REBON SEPARATION TECHNOLOGY (TIANJIN) Co.,Ltd.
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Shenzhen Ming Automatic Control Technology Co Ltd
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    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K63/00Receptacles for live fish, e.g. aquaria; Terraria
    • A01K63/003Aquaria; Terraria
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K63/00Receptacles for live fish, e.g. aquaria; Terraria
    • A01K63/04Arrangements for treating water specially adapted to receptacles for live fish
    • A01K63/042Introducing gases into the water, e.g. aerators, air pumps

Abstract

The invention provides a high-efficiency energy-saving environment-friendly aquaculture system. The high-efficiency energy-saving environment-friendly aquaculture system includes an aquaculture pool body; a shrimp and crab aquaculture pool and a fish aquaculture pool are separated by a partition plate and arranged on the upper part of the aquaculture pool body; the lower part of the aquaculture pool body is a settling zone; the settling zone communicates with a sewage pump; sewage exhausted by the sewage pump is cleaned by a sewage cleaning device to be conveyed back to the upper part of the shrimp and crab aquaculture pool; and a side surface of the fish aquaculture pool communicates with an oxygenation fan for blowing air to the aquaculture pool body. The beneficial effects of the invention are that shrimp and crab, and fishes can be fed in different pools, the cleaned sewage is re-conveyed to the shrimp and crab aquaculture pool having a low demand for the water quality, the aquaculture yield is increased, aquaculture resources can be effectively recovered, and an energy-saving and environment-friendly effect can be achieved.

Description

A kind of cultivating system of high-efficient energy-saving environment friendly
Technical field
The present invention relates to aquaculture field, and in particular to a kind of cultivating system of high-efficient energy-saving environment friendly.
Background technology
With the raising and the expansion of the market demand of mariculture technology level, I crosses aquaculture technology and has obtained rapidly Development.In aquaculture process, substantial amounts of breeding wastewater can be produced, most aquaculture at present is useless by these cultivation Arrange outside water, rather than the method using recycling, larger waste is caused, limit cultivation production capacity.
The content of the invention
For the problems referred to above, the present invention provides a kind of cultivating system of high-efficient energy-saving environment friendly.
The purpose of the present invention employs the following technical solutions to realize:
A kind of cultivating system of high-efficient energy-saving environment friendly, including culturing pool body, culturing pool body upper part is provided with uses dividing plate The Shrimp waste culturing pool for separating and fish culture pond, the bottom of culturing pool body is settling zone, and settling zone is communicated with dredge pump, is arranged The sewage that dirty pump is discharged sends the top of Shrimp waste culturing pool back to after effluent treatment plant purification;The side in fish culture pond connects It is connected with the oxygenation blower fan for sending into oxygen to culturing pool body.
Beneficial effects of the present invention are:By the way that Shrimp waste and fish are separately cultivated, by the sewage after purification again Send into water quality requirement than relatively low Shrimp waste culturing pool in, improve cultivation production capacity, effectively reclaim culture resources, energy-saving ring Protect.
Description of the drawings
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not constitute any limit to the present invention System, for one of ordinary skill in the art, on the premise of not paying creative work, can be being obtained according to the following drawings Other accompanying drawings.
Fig. 1 is the overall structure diagram of the present invention;
Fig. 2 is the structured flowchart of fail analysis device.
Reference:
Dividing plate -1;Shrimp waste culturing pool -2;Fish culture pond -3;Settling zone -4;Dredge pump -5;Effluent treatment plant -6; Oxygenation blower fan -7;Ionic formula air cleaning unit -8;Filter screen -9;Fail analysis device -10;Sample data acquisition module -11;Shake Dynamic signal data pretreatment module -12;Historical failure characteristic extracting module -13;Real-time fault diagnosis characteristic vector acquisition module- 14;Fault diagnosis model sets up module -15;Fault diagnosis identification module -16.
Specific embodiment
With the following Examples the invention will be further described.
A kind of cultivating system of high-efficient energy-saving environment friendly as shown in Figure 1, including culturing pool body, culturing pool body upper part sets It is equipped with the Shrimp waste culturing pool 2 and fish culture pond 3 separated with dividing plate 1, the bottom of culturing pool body is settling zone 4, settling zone 4 Dredge pump 5 is communicated with, the sewage that dredge pump 5 is discharged sends the upper of Shrimp waste culturing pool 2 back to after the purification of effluent treatment plant 6 Portion;The side in fish culture pond 3 is communicated with the oxygenation blower fan 7 for sending into oxygen to culturing pool body.
Preferably, oxygenation blower fan 7 is connected with ionic formula air cleaning unit 8, between the top and bottom of culturing pool body Separated with filter screen 9, effluent treatment plant 6 is filtering ponds or microbial reaction pond.
The above embodiment of the present invention is re-fed in the sewage after purification by the way that Shrimp waste and fish are separately cultivated To water quality requirement than relatively low Shrimp waste culturing pool in, improve cultivation production capacity, effectively reclaim culture resources, energy-conserving and environment-protective.
Preferably, oxygenation blower fan 7 also includes the fail analysis device 10 for diagnosing the failure of oxygenation blower fan 7.
Preferably, the fail analysis device 10 includes sample data acquisition module 11, the vibration signal number being sequentially connected Data preprocess module 12, historical failure characteristic extracting module 13, real-time fault diagnosis characteristic vector acquisition module 14, fault diagnosis Model building module 15 and fault diagnosis identification module 16.
Preferably, the sample data acquisition module 11 is used to gather the oxygenation blower fan 7 in normal condition by sensor The historical vibration signal data of multiple measuring points when running down and under various malfunctions.
Preferably, the vibration signal data pretreatment module 12 is used for the original historical vibration signal data to collecting Pre-processed, specially:
The original historical vibration signal data that hypothesis is collected integrates as X ', and using Finite Impulse Response filter X ' is filtered as the following formula Out of band components:
Wherein, X is the historical vibration signal data that obtains after filtering, c for measuring point number, o=1,2,3 ... c-1;H is Finite Impulse Response filter combines the filtration coefficient of sensor used, and h=τ/2f0, wherein τ is by digital filter self-characteristic The constant of decision, f0For the intrinsic frequency acquisition of sensor used.
In this preferred embodiment, vibration signal filtering is carried out by FIR filter, being capable of the different vibration letter of self adaptation Number, eliminate the time domain waveform distortion in original historical vibration signal data, output filtering partial noise and without time domain distortion Vibration signal, improve to for diagnosing the precision that the data of the failure of oxygenation blower fan 7 are processed.
Preferably, the historical failure characteristic extracting module 13 is used for from filtering through vibration signal data pretreatment module 12 Wavelet packet singular value features are extracted in historical vibration signal data afterwards and constitutes fault diagnosis characteristic vector sample;Preferably, should Sensor is current vortex sensor.
Preferably, carry in the historical vibration signal data from after filtering through vibration signal data pretreatment module 12 Take wavelet packet singular value features and constitute fault diagnosis characteristic vector sample, specially:
(1) set the oxygenation blower fan 7 and be in the historical vibration signal at the moment measured from measuring point μ during state θ as θμ (X), μ=1 ..., c, c is the number of measuring point, to θμ(X) K layer scattering WAVELET PACKET DECOMPOSITIONs are carried out, 2 in K layers are extractedKIndividual decomposition Coefficient, is reconstructed, with X to all of decomposition coefficientj(j=0,1 ..., 2K- 1) reconstruction signal of each node of K layers, structure are represented Build eigenmatrixWherein the value of K is combined according to historical experience and actual conditions and determined, to eigenmatrix TKEnter Row singular value decomposition, obtains characteristic vector Y of the matrixX=(η1, η2,…,ηv), wherein η1, η2,…,ηvIt is by eigenmatrix TK The singular value of decomposition, v is by eigenmatrix TKThe number of the singular value of decomposition, defines historical vibration signal θμ(X) corresponding failure Diagnostic characteristic vectorFor:
In formula, max (Yx) represent characteristic vector YxIn maximum singular value, min (YX) represent characteristic vector YxIn minimum Singular value;
(2) calculated fault diagnosis characteristic vector is screened, excludes underproof fault diagnosis characteristic vector, If exclude underproof fault diagnosis characteristic vector quantity be c ', then the oxygenation blower fan 7 be in state θ when at the moment Fault diagnosis characteristic vector sample is:
In this preferred embodiment, wavelet packet singular value features are extracted as fault diagnosis characteristic vector, and define failure The characteristic parameter of diagnostic characteristic vector, improves the fault-tolerance diagnosed to oxygenation blower fan 7, effectively reduces noise data Affect, accuracy rate is high and the calculating time is short.
Preferably, it is described that calculated fault diagnosis characteristic vector is screened, exclude underproof fault diagnosis Characteristic vector, specially:By the oxygenation blower fan 7 be in state θ when the moment all calculated fault diagnosis feature Vector calculates the standard deviation sigma and desired value of this feature vector Screening Samples collection as the characteristic vector Screening Samples collection at the moment μ, then set the oxygenation blower fan 7 in state θ when the moment data screening threshold value asWhereinFor desired value μ Maximal possibility estimation,For the maximal possibility estimation of standard deviation sigma, if calculated fault diagnosis characteristic vectorIt is discontented Sufficient following equation, then reject the fault diagnosis characteristic vector:
In this preferred embodiment, calculated fault diagnosis characteristic vector is screened using aforesaid way, excluded Underproof fault diagnosis characteristic vector, objective science, improve the oxygenation blower fan 7 to cultivating system carries out the essence of fault diagnosis Exactness.
Preferably, the historical failure characteristic extracting module 13 is also by the underproof fault diagnosis characteristic vector storage rejected In being stored to an ephemeral data holder, work as satisfactionWhen, in historical failure characteristic extracting module 13 K values are further corrected, specific as follows:IfThen the value of K is according to original historical experience Combine with actual conditions and be revised as K+1 on the basis of determining;IfThen the value of K is according to original history Experience and actual conditions are combined on the basis of determining and are revised as K+2;Wherein, c is the number of measuring point, and c ' is examined for underproof failure The quantity of disconnected characteristic vector, N is the integer threshold values being manually set.
In this preferred embodiment, the ratio of measuring point number can be accounted for according to underproof fault diagnosis characteristic vector, automatically K values are adjusted, further reducing underproof fault diagnosis characteristic vector carries out the impact of fault diagnosis to oxygenation blower fan 7, carries The high accuracy of fault diagnosis such that it is able to the on-call maintenance when oxygenation blower fan 7 breaks down, further ensures that cultivating system Normal operation.
Preferably, the real-time fault diagnosis characteristic vector acquisition module 14 is used to obtain the real-time event of the oxygenation blower fan 7 Barrier diagnostic characteristic vector.
Preferably, the fault diagnosis model set up module 15 for set up be based on improved SVMs failure examine Disconnected model, and fault diagnosis model is trained using fault diagnosis characteristic vector sample, calculate fault diagnosis model ginseng Several optimal solutions, obtains training the fault diagnosis model for completing;Wherein, it is described to set up based on the failure of improved SVMs Diagnostic model, including:
(1) using RBF as kernel function, using the kernel function by the fault diagnosis characteristic vector sample from original Space reflection realizes fault diagnosis characteristic vector sample classification, structure to higher dimensional space in higher dimensional space construction optimal decision function Making optimal decision function is:
In formula, x is the fault diagnosis characteristic vector sample of input, and ZY (x) is the fault diagnosis characteristic vector sample of input Corresponding output, J (x) represents RBF, and q is weight vectors, and a is deviation, exp (- q2-a2) it is to introduce with regard to q and a Potential energy majorized function,For the potential energy majorized function parameter being manually set,Facing in by historical failure characteristic extracting module 13 When data storage data be calculated, wherein c for measuring point number, c ' for underproof fault diagnosis characteristic vector number Amount;
(2) object function of definition SVMs is:
The constraints of SVMs is:
S.t yi(qxi+)≥1-λi, λi>=0, i=1 ..., M
In formula, minY (q, a, λi) for SVMs object function, C*For the penalty factor after optimization, M is examined for failure The quantity of disconnected characteristic vector sample;xiFor i-th fault diagnosis characteristic vector sample of input, yi(qxi+ a) it is the i-th of input The corresponding output of individual fault diagnosis characteristic vector sample, q is weight vectors, and a is deviation, λiFor the error variance for introducing;
(3) object function of the SVMs is solved, weight vectors q and deviation a is obtained;
(4) substitute into optimal decision function and be set up fault diagnosis model with the weight vectors q and deviation a that obtain.
In this preferred embodiment, by introducingThat is fault diagnosis characteristic vector disqualification rate, and with regard to the gesture of q and a Energy majorized function, further increases the actual accuracy of the optimal decision function, and the foundation for fault diagnosis model provides good Good functional foundations, so as to build more accurate fault diagnosis model, raising carries out the essence of fault diagnosis to oxygenation blower fan 7 Degree.
The optimization of the value of the radius parameter of penalty factor and the kernel function is wherein carried out by following manner:
A, all fault diagnosis characteristic vector sample means are divided into the subset mutually not included;
The span of the value of the radius parameter of B, setting penalty factor and the kernel function, to the position of each particle to Amount carries out two-dimensional encoded, generation primary group;
C, training set is selected to the corresponding parameter of each particle carry out cross validation, the forecast model classification accuracy that obtains is made For the corresponding target function value of particle;
D, the particle in population is iterated;
E, all particles are evaluated with target function value, when the Evaluation: Current value of certain particle is better than its history evaluation value, As the optimum history evaluation of the particle, record current particle optimal location vector;
F, searching globally optimal solution, if its value is better than current history optimal solution, update, and reach the stop criterion of setting When, then stop search, the value of the penalty factor of optimum and the radius parameter of the kernel function is exported, otherwise return to search again Rope.
The present embodiment is optimized using aforesaid way to the value of penalty factor and the radius parameter of the kernel function, optimization Time is relatively short, and effect of optimization is good such that it is able to obtain the SVMs of better performances, further improves to oxygenation blower fan 7 precision for carrying out fault diagnosis.
Preferably, the fault diagnosis identification module 16 is used for the real-time fault diagnosis characteristic vector of the oxygenation blower fan 7 In being input to the fault diagnosis model that training is completed, the diagnosis identification of failure is completed.
According to above-described embodiment, inventor has carried out a series of tests, and the following is carries out testing the experimental data for obtaining, should Experimental data shows, the present invention can effectively purify water, reclaim culture resources, energy-conserving and environment-protective, and can accurately and fast Fault detect and maintenance are carried out to the oxygenation blower fan 7 in cultivating system, it can be seen that, the present invention is being applied to having for cultivating system The beneficial effect of highly significant is generated when closing fault detect:
Finally it should be noted that above example is only illustrating technical scheme, rather than to present invention guarantor The restriction of shield scope, although having made to explain to the present invention with reference to preferred embodiment, one of ordinary skill in the art should Work as understanding, technical scheme can be modified or equivalent, without deviating from the reality of technical solution of the present invention Matter and scope.

Claims (5)

1. a kind of cultivating system of high-efficient energy-saving environment friendly, including culturing pool body, is characterized in that, culturing pool body upper part is provided with The Shrimp waste culturing pool separated with dividing plate and fish culture pond, the bottom of culturing pool body is settling zone, and settling zone is communicated with row Dirty pump, the sewage that dredge pump is discharged sends the top of Shrimp waste culturing pool back to after effluent treatment plant purification;Fish culture pond Side be communicated with for culturing pool body send into oxygen oxygenation blower fan.
2. a kind of cultivating system of high-efficient energy-saving environment friendly according to claim 1, is characterized in that, the oxygenation blower fan with from Minor air cleaning unit is connected, and is separated with filter screen between the top and bottom of culturing pool body, and the effluent treatment plant is Filtering ponds or microbial reaction pond.
3. a kind of cultivating system of high-efficient energy-saving environment friendly according to claim 2, is characterized in that, the oxygenation blower fan is also wrapped Include the fail analysis device for diagnosing oxygenation fan trouble.
4. a kind of cultivating system of high-efficient energy-saving environment friendly according to claim 3, is characterized in that, the fail analysis device Including the sample data acquisition module, vibration signal data pretreatment module, historical failure characteristic extracting module, the reality that are sequentially connected When fault diagnosis characteristic vector acquisition module, fault diagnosis model set up module and fault diagnosis identification module.
5. a kind of cultivating system of high-efficient energy-saving environment friendly according to claim 4, is characterized in that, the vibration signal data Pretreatment module is used for the original historical vibration signal data to collecting and pre-processes, specially:
The original historical vibration signal data that hypothesis is collected integrates as X ', and using Finite Impulse Response filter the band of X ' is filtered as the following formula Outer component:
X = Σ o = 1 c - 1 h ( c - o ) X ′
Wherein, X is the historical vibration signal data that obtains after filtering, c for measuring point number, o=1,2,3 ... c-1;H is FIR numbers Word wave filter combines the filtration coefficient of sensor used, and h=τ/2f0, wherein τ determines by digital filter self-characteristic Constant, f0For the intrinsic frequency acquisition of sensor used.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111418541A (en) * 2020-05-23 2020-07-17 漳州市同丰科技服务有限公司 Ecological case of breeding of freshwater fish

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CN103081843A (en) * 2011-11-04 2013-05-08 喃嵘水产(上海)有限公司 Centralization indoor constant temperature circulation aquaculture system
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* Cited by examiner, † Cited by third party
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