CN106959714B - A kind of microbial reaction control system of the intelligent cleaning energy - Google Patents
A kind of microbial reaction control system of the intelligent cleaning energy Download PDFInfo
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- CN106959714B CN106959714B CN201710162244.3A CN201710162244A CN106959714B CN 106959714 B CN106959714 B CN 106959714B CN 201710162244 A CN201710162244 A CN 201710162244A CN 106959714 B CN106959714 B CN 106959714B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by the network communication
Abstract
The invention belongs to environment protection control equipment technical fields, are related to a kind of microbial reaction control system of intelligent cleaning energy, comprising: for completing the main control computer for completing information exchange with network server by wire/wireless communication net；The information acquisition device being scanned is produced for the microorganism reactor to the intelligent cleaning energy；For carrying out the memory of record preservation to the information of scanning；For showing the selection menu comprising at least one image information to user, user is received according to the described image information of the selection menu selection, and described image information is sent to the human-computer interaction plate of main control computer；For providing the power module of electric energy supply for main control computer.The present invention by information acquisition device can the microorganism reactor effectively to the intelligent cleaning energy be scanned, and can be saved by memory, conducive to effective control of microorganism reactor.
Description
Technical field
The invention belongs to environment protection control equipment technical field more particularly to a kind of microbial reaction controls of the intelligent cleaning energy
System processed.
Background technique
Currently, the technologies such as Internet of Things, 3G communication, GIS (GIS-Geographic Information System) and internet works software have been widely used friendship
The fields such as logical, public security, environmental protection, because of business demand difference, different industries have different digital integration methods, and at present for clear
The microbial reaction control technology of the clean energy is applied general lack of monitoring method remains in the shape of scatter operation and hand-kept
State does not form effective monitoring and warning technical system yet, and which increase the difficulty of control, also greatly restrict to microorganism
The utilization of clean energy resource.
The transition development and utilization of fossil fuel causes global warming, acid rain and ecological environment destruction and degenerates
It is undisputable fact, and fossil fuel is also faced with the situation of exhaustion, therefore is considered based on environment and the energy, the mankind compel to be essential
Want a kind of renewable energy not polluted.Hydrogen Energy is that one kind preferably cleans renewable alternative fuel, it is only generated after burning
Water can directly and efficiently be converted into electric energy by fuel cell without other greenhouse gases.Combining environmental problem considers,
Carrying out biological hydrogen production using various organic wastes (organic wastewater and solid organic castoff) is a big research heat in recent years
Point, and be considered as most possibly taking the lead in realizing commercial applications bio-hydrogen production technology.It is dark to ferment compared with photo fermentation hydrogen manufacturing
Hydrogen manufacturing has the superiority of the following aspects: (1) hydrogen-producing speed with higher, is 100 times of photosynthetic hydrogen production rate；(2)
Light source is not needed, the transparency of raw material is not required；(3) it may be implemented continually and steadily to produce hydrogen round the clock, and reactor design, behaviour
Make and operational management is easy.
However, Biochemical Mechanism determines the energy recovery efficiency and organic matter utilization rate of organic waste anaerobic fermentation hydrogen manufacturing
It is lower, because while organic matter hydrogen production through anaerobic fermentation, with the life of the organic acid by-products such as acetic acid, propionic acid, butyric acid, valeric acid
At, and above-mentioned by-product cannot be further converted to hydrogen under similarity condition, but be accumulated in organic wastewater, on the one hand not
The energy contained in organic matter can be recycled completely, and the accumulation of organic acid can cause feedback inhibition to hydrogen production through anaerobic fermentation, separately
Outside, the presence of organic acid will form secondary pollution, cannot achieve the advanced treating of organic waste.
In conclusion problem of the existing technology is: the microbial reaction control technology of existing clean energy resource is using general
All over lacking, monitoring method remains in the state of scatter operation and hand-kept, does not also form effective monitoring and warning technology
System, increases the difficulty of control, also greatlys restrict the utilization to the microorganism cleaning energy；It cannot achieve organic waste
Advanced treating.
Summary of the invention
In order to solve the problems existing in the prior art, the present invention provides a kind of microbial reaction control system of intelligent cleaning energy
System.
The technical scheme adopted by the present invention to solve the technical problems existing in the known art is that a kind of intelligent cleaning energy
The microbial reaction control system in source, comprising:
For completing the main control computer for completing information exchange with network server by wire/wireless communication net；
It is connected with main control computer, is scanned and acquires for the microorganism reactor product to the intelligent cleaning energy
The information acquisition device of information；The information acquisition device carries out the calculating of trust value by built-in trust value computing module；Trust
Value calculating method the following steps are included:
Step 1 acquires the interaction times of n timeslice between network observations node i and node j:
Certain time interval t is chosen as an observation time piece, with observer nodes i and tested node j in 1 timeslice
Interior interaction times are denoted as y as observation index, true interaction timest, successively record the y of n timeslicen, and saved
In the communications records table of node i；
Predict the interaction times of (n+1)th timeslice:
According to the interaction times settling time sequence of collected n timeslice, predicted down using third index flatness
Interaction times between one timeslice n+1 interior nodes i and j are predicted interaction times, are denoted asCalculation formula is as follows:
Predictive coefficient an、bn、cnValue can be calculated by following formula:
Wherein:It is primary, secondary, Three-exponential Smoothing number respectively, is calculated by following formula
It arrives:
It is the initial value of third index flatness, value is
α is smoothing factor (0 < α < 1), embodies the time attenuation characteristic of trust, i.e., timeslice closer from predicted value
ytWeight is bigger, the y of the timeslice remoter from predicted valuetWeight is smaller；Generally, if data fluctuations are larger, and long-term trend
Amplitude of variation is larger, and α when obviously rapidly rising or falling trend, which is presented, should take the larger value (0.6~0.8), can increase in the recent period
Influence of the data to prediction result；When data have a fluctuation, but long-term trend variation is little, α can between 0.1~0.4 value；
If data fluctuations are steady, α should take smaller value (0.05~0.20)；
Calculate direct trust value:
The direct trust value TD of node jijTo predict interaction timesWith true interaction times yn+1Relative error,
Step 2 collects trusted node to the direct trust value of node j:
Node i meets TD to allikThe credible associated nodes of≤φ inquire its direct trust value to node j, wherein φ
For the believability threshold of recommended node, according to the precision prescribed of confidence level, the value range of φ is 0~0.4；
Calculate indirect trust values:
Trust value collected by COMPREHENSIVE CALCULATING obtains the indirect trust values TR of node jij,Wherein, had in the associated nodes that Set (i) is observer nodes i with j node and interact and it is direct
Trust value meets TDikThe node set of≤φ；
It is connected with main control computer, for carrying out the memory of record preservation to the information of scanning；The memory is logical
Built-in signal receiving module is crossed to receive the information of scanning, recorded and handled；The signal receiving module receives signal
Jamming-to-signal ratio ki, signal-to-noise ratioAnd the spatial correlation cos of interference and desired signal2θ passes through calculatingDetermine acceptance criteriaWherein i=1,2；Base station is respectively by the jamming-to-signal ratio k of two paths of signalsi
WithIt is compared, in a manner of the reception that selection can obtain best data rate；WhenWhen, it is connect using rectangular projection
It receives；WhenWhen, it is received using matching；
The signal receiving module carries out nonlinear transformation to signal s (t) is received, and carries out as follows:
WhereinA indicates the amplitude of signal, and a (m) indicates letter
Number symbol, p (t) indicate shaping function, fcIndicate the carrier frequency of signal,The phase for indicating signal, by this
It can be obtained after nonlinear transformation:
Calculate the Generalized Cyclic cumulant for receiving signalIt carries out as follows:
WithIt is Generalized Cyclic square, is defined as:
Wherein s (t) is signal, and n is wide
The order of adopted Cyclic Moment, conjugation item are m；
To the characteristic parameter M for receiving signal s (t)1Theoretical valueIt calculates, it is specific to calculate
Process carries out as follows:
The calculation shows that, for 2FSK signal, the signalIt is 1, and for MSK, BPSK, QPSK, 8PSK,
16QAM and 64QAM signalIt is 0, comes out 2FSK signal identification from there through least mean-square error classifier；Table
Up to form are as follows:
It is connected with main control computer, for showing the selection menu comprising at least one image information to user, receives
Described image information is sent to the man-machine of main control computer according to the described image information for selecting menu selection by user
Interaction plate；
It is connected with main control computer, for receiving the information of main control computer transmission, according to main control computer to image
The display that the corresponding picture material of information is shown；
It is connected with main control computer, for providing the power module of electric energy supply for main control computer.
Further, the display is penetrated using liquid crystal display, plasma display, LED large screen display, cathode
One of line kinescope, multi-screen spliced display wall.
Further, the power module is lithium battery.
Further, positioning device is installed, positioning device is that GPS locator or Beidou position in the information acquisition device
One of device.
Further, the information acquisition device is by built-in signal acquisition unit awareness apparatus in the independent sampling period
It is interior that echo signal s (t) is acquired, and digital quantization is carried out to signal with A/D mode；Then, to the signal s after quantization
(i) dimensionality reduction is carried out；Finally, the signal after dimensionality reduction is reconstructed；Wherein t is sampling instant, and i is the signal sequence after quantization.
Further, dimensionality reduction is carried out to the signal after quantization, specifically the signal after quantization is filtered by finite impulse response (FIR)
The difference equation of wave deviceWherein (0) h ..., h (L-1) are filter coefficient,
The compressed sensing signal acquisition frame based on filtering is designed, following Teoplitz calculation matrix is constructed:
Then observeWherein b1,…,bLRegard filter coefficient as；Submatrix
ΦFTSingular value be gram matrix G (ΦF, T) and=Φ 'FTΦFTThe arithmetic root of characteristic value verifies all spies of G (Φ F, T)
Value indicative λ i ∈ (1- δK,1+δK), i=1 ..., T, then ΦFMeet RIP, and passes through solutionOptimization problem
To reconstruct original signal；Original signal, that is, BP algorithm are reconstructed by linear programming method；Acquisition to compression of images signal,
Then modify ΦFFor following form:
If signal has sparsity on transformation basic matrix Ψ, pass through solutionOptimization problem, Accurate Reconstruction go out original signal；Wherein Φ is uncorrelated to Ψ, and Ξ is known as
CS matrix.
The advantages and positive effects of the present invention are: the configuration of the present invention is simple, it can be effective by information acquisition device
The microorganism reactor of clean energy resource is scanned, and can be saved by memory, conducive to the microorganism of clean energy resource
The control of reactor is run；By the conversion of main control computer, information is preferably subjected to output displaying, improves clean energy resource
Microorganism reactor operation control science and accuracy.
The signal of the present invention control ratio of precision prior art improves nearly 4 percentage points, greatly ensure that use it is accurate
Property, this is a key point.Each module built in the present invention carries out continuous renewal management to the data acquired in real time, ensure that number
According to the accuracy of processing, the present invention has the validity and sensitivity used compared with prior art.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the microbial reaction control system of the intelligent cleaning energy provided in an embodiment of the present invention；
In figure: 1, main control computer；2, information acquisition device；3, memory；4, human-computer interaction plate；5, display；6, electric
Source module.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows:
Application principle of the invention is described in detail with reference to the accompanying drawing.
It please refers to shown in Fig. 1:
The microbial reaction control system of the intelligent cleaning energy provided in an embodiment of the present invention includes: main control computer 1, letter
Cease collector 2, memory 3, human-computer interaction plate 4, display 5, power module 6；
For completing the main control computer 1 for completing information exchange with network server by wire/wireless communication net；
It is connected with main control computer 1, be scanned for the microorganism reactor product to clean energy resource and acquires letter
The information acquisition device 2 of breath；The information acquisition device carries out the calculating of trust value by built-in trust value computing module；Trust value
Calculation method the following steps are included:
Step 1 acquires the interaction times of n timeslice between network observations node i and node j:
Certain time interval t is chosen as an observation time piece, with observer nodes i and tested node j in 1 timeslice
Interior interaction times are denoted as y as observation index, true interaction timest, successively record the y of n timeslicen, and saved
In the communications records table of node i；
Predict the interaction times of (n+1)th timeslice:
According to the interaction times settling time sequence of collected n timeslice, predicted down using third index flatness
Interaction times between one timeslice n+1 interior nodes i and j are predicted interaction times, are denoted asCalculation formula is as follows:
Predictive coefficient an、bn、cnValue can be calculated by following formula:
Wherein:It is primary, secondary, Three-exponential Smoothing number respectively, is calculated by following formula
It arrives:
It is the initial value of third index flatness, value is
α is smoothing factor (0 < α < 1), embodies the time attenuation characteristic of trust, i.e., timeslice closer from predicted value
ytWeight is bigger, the y of the timeslice remoter from predicted valuetWeight is smaller；Generally, if data fluctuations are larger, and long-term trend
Amplitude of variation is larger, and α when obviously rapidly rising or falling trend, which is presented, should take the larger value (0.6~0.8), can increase in the recent period
Influence of the data to prediction result；When data have a fluctuation, but long-term trend variation is little, α can between 0.1~0.4 value；
If data fluctuations are steady, α should take smaller value (0.05~0.20)；
Calculate direct trust value:
The direct trust value TD of node jijTo predict interaction timesWith true interaction times yn+1Relative error,
Step 2 collects trusted node to the direct trust value of node j:
Node i meets TD to allikThe credible associated nodes of≤φ inquire its direct trust value to node j, wherein φ
For the believability threshold of recommended node, according to the precision prescribed of confidence level, the value range of φ is 0~0.4；
Calculate indirect trust values:
Trust value collected by COMPREHENSIVE CALCULATING obtains the indirect trust values TR of node jij,Wherein, had in the associated nodes that Set (i) is observer nodes i with j node and interact and it is direct
Trust value meets TDikThe node set of≤φ；
It is connected with main control computer 1, for carrying out the memory 3 of record preservation to the information of scanning；The memory
It received, recorded and is handled by information of the built-in signal receiving module to scanning；The signal receiving module receives letter
Number jamming-to-signal ratio ki, signal-to-noise ratioAnd the spatial correlation cos of interference and desired signal2θ passes through calculatingDetermine acceptance criteriaWherein i=1,2；Base station is respectively by the jamming-to-signal ratio k of two paths of signalsi
WithIt is compared, in a manner of the reception that selection can obtain best data rate；WhenWhen, it is connect using rectangular projection
It receives；WhenWhen, it is received using matching；
The signal receiving module carries out nonlinear transformation to signal s (t) is received, and carries out as follows:
WhereinA indicates the amplitude of signal, and a (m) indicates letter
Number symbol, p (t) indicate shaping function, fcIndicate the carrier frequency of signal,The phase for indicating signal, by this
It can be obtained after nonlinear transformation:
Calculate the Generalized Cyclic cumulant for receiving signalIt carries out as follows:
WithIt is Generalized Cyclic square, is defined as:
Wherein s (t) is signal, and n is wide
The order of adopted Cyclic Moment, conjugation item are m；
To the characteristic parameter M for receiving signal s (t)1Theoretical valueIt calculates, it is specific to calculate
Process carries out as follows:
The calculation shows that, for 2FSK signal, the signalIt is 1, and for MSK, BPSK, QPSK, 8PSK,
16QAM and 64QAM signalIt is 0, comes out 2FSK signal identification from there through least mean-square error classifier；Table
Up to form are as follows:
It is connected with main control computer 1, for showing the selection menu comprising at least one image information to user, receives
Described image information is sent to the people of main control computer 1 according to the described image information of the selection menu selection by user
Machine interacts plate 4；
It is connected with main control computer 1, for receiving the information of the transmission of main control computer 1, is schemed according to 1 Dui of main control computer
The display 5 being shown as the corresponding picture material of information；
It is connected with main control computer 1, for providing the power module 6 of electric energy supply for main control computer 1.
The display 5 is using liquid crystal display, plasma display, LED large screen display, cathode-ray imaging
One of pipe, multi-screen spliced display wall.According to different exhibition occasions, different display boards is selected.
The wire/wireless communication net uses Ethernet, Digital Data Net, WLAN, asymmetrical digital subscriber
One of loop, CDMA, general packet radio service technology.According to different regions, different communication modes are selected,
Guarantee the unobstructed of information.
The power module 6 is lithium battery.
Positioning device is installed, positioning device is in GPS locator or Beidou locator in the information acquisition device 2
It is a kind of.
Further, the information acquisition device is by built-in signal acquisition unit awareness apparatus in the independent sampling period
It is interior that echo signal s (t) is acquired, and digital quantization is carried out to signal with A/D mode；Then, to the signal s after quantization
(i) dimensionality reduction is carried out；Finally, the signal after dimensionality reduction is reconstructed；Wherein t is sampling instant, and i is the signal sequence after quantization.
Further, dimensionality reduction is carried out to the signal after quantization, specifically the signal after quantization is filtered by finite impulse response (FIR)
The difference equation of wave deviceWherein (0) h ..., h (L-1) are filter coefficient,
The compressed sensing signal acquisition frame based on filtering is designed, following Teoplitz calculation matrix is constructed:
Then observeWherein b1,…,bLRegard filter coefficient as；Submatrix
ΦFTSingular value be gram matrix G (ΦF, T) and=Φ 'FTΦFTThe arithmetic root of characteristic value verifies all spies of G (Φ F, T)
Value indicative λ i ∈ (1- δK,1+δK), i=1 ..., T, then ΦFMeet RIP, and passes through solutionOptimization problem
To reconstruct original signal；Original signal, that is, BP algorithm are reconstructed by linear programming method；Acquisition to compression of images signal,
Then modify ΦFFor following form:
If signal has sparsity on transformation basic matrix Ψ, pass through solutionOptimization problem, Accurate Reconstruction go out original signal；Wherein Φ is uncorrelated to Ψ, and Ξ is known as
CS matrix.
Power module 6 is that main control computer 1 provides power supply, and main control computer 1 controls 2 pairs of cleaning energy of information acquisition device
The microorganism reactor in source is scanned and models, and is equipped with positioning device on information acquisition device 2, can more accurately record
The coordinate swept keeps scans content full and accurate.By the information preservation of scanning in memory 3；User is understood by human-computer interaction plate 4
The image of scanning.The monitoring of the microorganism reactor of clean energy resource is carried out using main control computer 1, can improve well by
Microorganism reactor work bring deviation that is extensive in monitoring method and giving clean energy resource not in time, can be to clean energy resource
Microorganism reactor carries out timely, accurate, in due course monitoring and maintenance, and is the subsequent monitoring rule for improving all kinds of monitoring objects
Model provides scientific decision-making foundation.Information acquisition device 2 accurately can be scanned record to reactor, be clean energy resource
The specific works providing method opinions such as the monitoring of microorganism reactor specification, early warning, reparation.Significantly reduce micro- life of clean energy resource
The human cost of object reactor monitoring, improves the science, accuracy, normalization of monitoring.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (6)
1. a kind of microbial reaction control system of the intelligent cleaning energy, which is characterized in that micro- life of the intelligent cleaning energy
Object reaction control system includes:
For completing the main control computer for completing information exchange with network server by wire/wireless communication net；
It is connected with main control computer, be scanned for the microorganism reactor product to the intelligent cleaning energy and acquires information
Information acquisition device；The information acquisition device carries out the calculating of trust value by built-in trust value computing module；Trust value meter
Calculation method the following steps are included:
Step 1 acquires the interaction times of n timeslice between network observations node i and tested node j:
Certain time interval t is chosen as an observation time piece, with observer nodes i and tested node j in 1 timeslice
Interaction times are denoted as y as observation index, true interaction timest, successively record the y of n timeslicen, and save it in section
In the communications records table of point i；
Predict the interaction times of (n+1)th timeslice:
According to the interaction times settling time sequence of collected n timeslice, predicted using third index flatness next
Interaction times in timeslice n+1 between observer nodes i and tested node j are predicted interaction times, are denoted asCalculation formula is such as
Under:
Predictive coefficient an、bn、cnValue can be calculated by following formula:
Wherein:It is primary, secondary, Three-exponential Smoothing number respectively, is calculated by following formula:
It is the initial value of third index flatness, value is
α is smoothing factor wherein 0 < α < 1, embodies the time attenuation characteristic of trust, i.e., the y of timeslice closer from predicted valuetPower
It is again bigger, the y of the timeslice remoter from predicted valuetWeight is smaller；Generally, if data fluctuations are larger, and long-term trend become
Change amplitude is larger, and α when obviously rapidly rising or falling trend, which is presented, should take the larger value 0.6~0.8, increases Recent data to pre-
Survey the influence of result；When data have fluctuation, but long-term trend variation is little, α value between 0.1~0.4；If data wave
Dynamic steady, α should take smaller value 0.05~0.20；
Calculate direct trust value:
The direct trust value TD of tested node jijTo predict interaction timesWith true interaction times yn+1Relative error,
Step 2 collects trusted node to the direct trust value of tested node j:
Observer nodes i meets TD to allikThe credible associated nodes of≤φ inquire its direct trust value to tested node j,
Middle φ is the believability threshold of recommended node, and according to the precision prescribed of confidence level, the value range of φ is 0~0.4；
Calculate indirect trust values:
Trust value collected by COMPREHENSIVE CALCULATING obtains the indirect trust values TR of tested node jij,
Wherein, had in the associated nodes that Set (i) is observer nodes i with tested node j and interacted and its direct trust value meets TDik≤
The node set of φ；
It is connected with main control computer, for carrying out the memory of record preservation to the information of scanning；The memory passes through interior
The signal receiving module set receives the information of scanning, recorded and is handled；The signal receiving module receives the dry of signal
Letter ratio ki, signal-to-noise ratioAnd the spatial correlation cos of interference and desired signal2θ passes through calculatingDetermine acceptance criteriaWherein i=1,2；Base station is respectively by the jamming-to-signal ratio k of two paths of signalsi
WithIt is compared, in a manner of the reception that selection can obtain best data rate；WhenWhen, it is connect using rectangular projection
It receives；WhenWhen, it is received using matching；
The signal receiving module carries out nonlinear transformation to signal s (t) is received, and carries out as follows:
WhereinA indicates the amplitude of signal, and a (m) indicates signal
Symbol, p (t) indicate shaping function, fcIndicate the carrier frequency of signal,Indicate the phase of signal, it is non-thread by this
Property transformation after can be obtained:
Calculate the Generalized Cyclic cumulant for receiving signalIt carries out as follows:
WithIt is Generalized Cyclic square, is defined as:
Wherein s (t) is signal, and n follows for broad sense
The order of ring square, conjugation item are m；
To the characteristic parameter M for receiving signal s (t)1Theoretical valueIt calculates, specific calculating process is such as
Lower progress:
The calculation shows that, for 2FSK signal, the signalBe 1, and for MSK, BPSK, QPSK, 8PSK, 16QAM and
64QAM signalIt is 0, comes out 2FSK signal identification from there through least mean-square error classifier；Expression-form
Are as follows:
It is connected with main control computer, for showing the selection menu comprising at least one image information to user, receives user
According to the described image information of the selection menu selection, and described image information is sent to the human-computer interaction of main control computer
Plate；
It is connected with main control computer, for receiving the information of main control computer transmission, according to main control computer to image information
The display that corresponding picture material is shown；
It is connected with main control computer, for providing the power module of electric energy supply for main control computer.
2. the microbial reaction control system of the intelligent cleaning energy as described in claim 1, which is characterized in that the display
Device uses liquid crystal display, plasma display, LED large screen display, cathode-ray picture tube, multi-screen spliced display wall
One of.
3. the microbial reaction control system of the intelligent cleaning energy as described in claim 1, which is characterized in that the power supply
Module is lithium battery.
4. the microbial reaction control system of the intelligent cleaning energy as described in claim 1, which is characterized in that the information
Positioning device is installed, positioning device is one of GPS locator or Beidou locator in collector.
5. the microbial reaction control system of the intelligent cleaning energy as described in claim 1, which is characterized in that
The information acquisition device believes target within the independent sampling period by built-in signal acquisition unit awareness apparatus
Number s (t) is acquired, and carries out digital quantization to signal with A/D mode；Then, dimensionality reduction is carried out to the signal s (i) after quantization；
Finally, the signal after dimensionality reduction is reconstructed；Wherein t is sampling instant, and i is the signal sequence after quantization.
6. the microbial reaction control system of the intelligent cleaning energy as claimed in claim 5, which is characterized in that
Dimensionality reduction is carried out to the signal after quantization, specifically passes through the difference side of finite impulse response filter to the signal after quantization
JourneyWherein (0) h ..., h (L-1) are filter coefficient, design the pressure based on filtering
Contracting perceptual signal acquires frame, constructs following Teoplitz calculation matrix:
Then observeWherein b1,…,bLRegard filter coefficient as；Submatrix ΦFTSurprise
Different value is gram matrix G (ΦF, T) and=Φ 'FTΦFTThe arithmetic root of characteristic value verifies G (ΦF, T) all eigenvalue λ t ∈
(1-δK,1+δK), t=1 ..., T, then ΦFMeet RIP, and passes through solutionOptimization problem reconstructs original
Signal；Original signal, that is, BP algorithm are reconstructed by linear programming method；Acquisition to compression of images signal, then modify ΦF
For following form:
If signal has sparsity on transformation basic matrix Ψ, pass through solution
Optimization problem, Accurate Reconstruction go out original signal；Wherein Φ is uncorrelated to Ψ, and Ξ is known as CS matrix.
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| CN107410027A (en) * | 2017-08-08 | 2017-12-01 | 王玉珍 | A kind of bioreactor system for pilot scale culture medicinal plant |
| CN107723527A (en) * | 2017-10-17 | 2018-02-23 | 黄河交通学院 | A kind of automotive light weight technology chassis aluminum alloy junction component and preparation method thereof |
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| CN101668862B (en) * | 2007-03-29 | 2013-06-26 | 株式会社日立工业设备技术 | Method and apparatus for producing hydrogen and microorganism-immobilized carrier used in the same |
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| CN104038928A (en) * | 2014-03-26 | 2014-09-10 | 宋晓宇 | Method for calculating trust values of wireless Mesh network nodes |
| CN205451057U (en) * | 2015-12-22 | 2016-08-10 | 湖北文理学院 | Digital display system of industry legacy |
| CN105490371A (en) * | 2015-12-28 | 2016-04-13 | 国网山西省电力公司技能培训中心 | Multifunctional new energy power generation energy storage heat supply and power supply control system |
| CN106373018A (en) * | 2016-08-29 | 2017-02-01 | 巴中市方圆环保科技发展有限责任公司 | Internet management system used for konjac planting |
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