CN105938133B - A kind of wireless gas sensor on-line calibration method and system - Google Patents

A kind of wireless gas sensor on-line calibration method and system Download PDF

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CN105938133B
CN105938133B CN201610214186.XA CN201610214186A CN105938133B CN 105938133 B CN105938133 B CN 105938133B CN 201610214186 A CN201610214186 A CN 201610214186A CN 105938133 B CN105938133 B CN 105938133B
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CN105938133A (en
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张小栓
张永军
傅泽田
张长峰
崔衍
彭朝辉
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China Agricultural University
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Abstract

The present invention relates to a kind of wireless gas sensor on-line calibration method and system.This method includes：Obtain the gas concentration sequence of each wireless gas sensor collection；The bias data in each gas concentration sequence is rejected, median is taken to each gas concentration sequence eliminated after bias data, obtains the gas concentration vector of each wireless gas sensor；Each gas concentration vector is grouped by gas classification, with the weight of blending algorithm wireless gas sensor according to corresponding to the gas concentration vector acquisition after packet is each；According to the first concentration of the various gases of Weight Acquisition of the wireless gas sensor of each group；The gas concentration at each moment of the collection of each wireless gas sensor is fitted with corresponding first concentration, obtains the adjustment parameter of each wireless gas sensor；Each wireless gas sensor is calibrated according to the adjustment parameter.Present invention ensure that the degree of accuracy of agricultural product Cold Chain Logistics gas concentration monitoring.

Description

A kind of wireless gas sensor on-line calibration method and system
Technical field
The present invention relates to sensor technical field, more particularly to a kind of wireless gas sensor on-line calibration method method and System.
Background technology
With the development of technology of Internet of things, agricultural product Cold Chain Logistics monitoring parameters are progressively diversified, can be to agricultural product cold chain The important parameter such as humiture and oxygen O in transport2, carbon dioxide CO2, generation gaseous ethylene C2H4With ammonia NH3Etc. fresh-keeping regulation The monitoring of gas.In agricultural product Cold Chain Logistics field, multi-source gas sensor parameter is precisely monitored with control method online As important research focus.
Drifting problem or unstable shortcoming, existing gas be present because all kinds of wireless gas sensors perceive response process Monitoring method focuses mostly on the processing after the collection to Monitoring Data, lacks for wireless gas sensor drift and uncertain The parametric calibration means being changed without online, it is not enough to store and transport agricultural product Cold Chain Logistics in the important fresh-keeping and alive-keeping gas in environment Body carries out effective monitoring.
Therefore, how to provide the method for accurate alignment multi-source gas sensor parameter turns into urgent problem to be solved.
The content of the invention
The technical problems to be solved by the invention are：The method how accurate alignment multi-source gas sensor parameter is provided.
In order to solve the above technical problems, one aspect of the present invention proposes a kind of wireless gas sensor on-line calibration method, This method includes：
Multiple wireless gas sensors gather multiple gas concentrations at different moments, obtain each wireless gas sensor and adopt The gas concentration sequence of collection；
The bias data in each gas concentration sequence is rejected, to each gas concentration sequence eliminated after bias data Median is taken, obtains the gas concentration vector of each wireless gas sensor；
Each gas concentration vector is grouped by gas classification, with blending algorithm according to the gas concentration after packet Vector obtains the weight of each corresponding wireless gas sensor；
According to the first concentration of the various gases of Weight Acquisition of the wireless gas sensor of each group；
The gas concentration at each moment of the collection of each wireless gas sensor is intended with corresponding first concentration Close, obtain the adjustment parameter of each wireless gas sensor；
Each wireless gas sensor is calibrated according to the adjustment parameter.
Alternatively, the bias data rejected in each gas concentration sequence, to it is each eliminate bias data after Gas concentration sequence takes median, obtains the gas concentration vector of each wireless gas sensor, including：
If the concentration P of the gas of wireless gas sensor collection sometimeitSatisfaction is then rejected with lower inequality：
Wherein, P1,...,Pi,...,PnFor n different gas sensors；Each gas sensing node chronologically obtains One group to gas concentration sequence ＜ t, Pi＞；PitIt is i-th of sensor in t perception data,It is sensor i in difference The perception data average at moment；
To each gas concentration sequence ＜ t, P eliminated after bias datai＞ takes median, obtains each wireless gas The gas concentration vector P of sensort；
Wherein, Pt={ Pt1,...,Pti,...,Ptn, PtiThe gas concentration gathered for sensor P in moment ti.
Alternatively, it is described that each gas concentration vector is grouped by gas classification, with blending algorithm according to packet Gas concentration vector afterwards obtains the weight of each corresponding wireless gas sensor, including：
The weight of each wireless gas sensor is obtained according to below equation：
Wherein, 0≤Wi (t)≤1；The accuracy and stability number of the gas concentration of number are gathered for each gas sensor Value represents；M is the number of similar gas sensor,Be affiliated group of all gas sensors accuracy with stably Property numerical value sum；Fij(t) it is degrees of fusion function, 0≤Fij(t)≤1, Pi(t), Pj(t) it is gas concentration with group and gas with various sensor in moment t collection.
Alternatively, the first concentration of the various gases of Weight Acquisition of the wireless gas sensor according to each group, including：
Sequence from big to small is carried out to the weight of the wireless gas sensor of each group；
Before the weight for obtaining the wireless gas sensor of each groupIndividual gathered gas concentration is as the first concentration；
Wherein, N is the number of certain class gas sensor.
Alternatively, the gas concentration and corresponding first at each moment of the collection by each wireless gas sensor Concentration is fitted, and obtains the adjustment parameter of each wireless gas sensor, including：
The gas concentration at each moment of the collection of each wireless gas sensor is carried out most with corresponding first concentration Small SVMs fitting or least square fitting, obtain the adjustment parameter of each wireless gas sensor.
Another aspect of the present invention proposes a kind of wireless gas sensor on-line calibration system, and the system includes：
Gas concentration retrieval unit, for gathering multiple gas concentrations at different moments, obtain each wireless gas The gas concentration sequence of sensor collection；
Gas concentration vector acquiring unit, for rejecting the bias data in each gas concentration sequence, to each rejecting Gas concentration sequence after bias data takes median, obtains the gas concentration vector of each wireless gas sensor；
Gas sensor Weight Acquisition unit, for being grouped to each gas concentration vector by gas classification, use The weight of blending algorithm wireless gas sensor according to corresponding to the gas concentration vector acquisition after packet is each；
First concentration acquiring unit, it is dense according to the first of the various gases of Weight Acquisition of the wireless gas sensor of each group Degree；
Adjustment parameter acquiring unit, for by the gas concentration at each moment of the collection of each wireless gas sensor with Corresponding first concentration is fitted, and obtains the adjustment parameter of each wireless gas sensor；
Alignment unit, for being calibrated according to the adjustment parameter to each wireless gas sensor.
Alternatively, the gas concentration vector acquiring unit, is further used for：
As the concentration P of the gas of wireless gas sensor collection sometimeitSatisfaction is then rejected with lower inequality：
Wherein, P1,...,Pi,...,PnFor n different gas sensors；Each gas sensing node chronologically obtains One group to gas concentration sequence ＜ t, Pi＞；PitIt is i-th of sensor in t perception data,It is sensor i in difference The perception data average at moment；
The gas concentration vector acquiring unit, it is additionally operable to each gas concentration sequence ＜ eliminated after bias data t,Pi＞ takes median, obtains the gas concentration vector P of each wireless gas sensort；
Wherein, Pt={ Pt1,...,Pti,...,Ptn, PtiThe gas concentration gathered for sensor P in moment ti.
Alternatively, the gas sensor Weight Acquisition unit is further used for：
The weight of each wireless gas sensor is obtained according to below equation：
Wherein, 0≤Wi (t)≤1；The accuracy and stability number of the gas concentration of number are gathered for each gas sensor Value represents；M is the number of similar gas sensor,It is the accuracy and stability of affiliated group of all gas sensors Numerical value sum；Fij(t) it is degrees of fusion function, 0≤Fij(t)≤1, Pi(t), Pj(t) it is gas concentration with group and gas with various sensor in moment t collection.
Alternatively, the first concentration acquiring unit is further used for：
Sequence from big to small is carried out to the weight of the wireless gas sensor of each group；
Before the weight for obtaining the wireless gas sensor of each groupIndividual gathered gas concentration is as the first concentration；
Wherein, N is the number of certain class gas sensor.
Alternatively, the adjustment parameter acquiring unit is further used for：
The gas concentration at each moment of the collection of each wireless gas sensor is carried out most with corresponding first concentration Small SVMs fitting or least square fitting, obtain the adjustment parameter of each wireless gas sensor.
Wireless gas sensor on-line calibration method and system provided by the invention, are solved in gas sensor on-line monitoring A kind of instability problem caused by long term drift and other problemses, there is provided the non-replaceable on-line calibration side of gas sensor Method, improve agricultural product Cold Chain Logistics gas concentration monitoring efficiency, it is ensured that agricultural product Cold Chain Logistics gas concentration monitors accurate Degree.
Brief description of the drawings
The features and advantages of the present invention can be more clearly understood by reference to accompanying drawing, accompanying drawing is schematically without that should manage Solve to carry out any restrictions to the present invention, in the accompanying drawings：
Fig. 1 shows the schematic diagram of the wireless gas sensor on-line calibration method of one embodiment of the invention；
Fig. 2 shows the schematic layout pattern of the wireless gas sensor of one embodiment of the invention；
Fig. 3 shows the schematic diagram of the wireless gas sensor on-line calibration method of one embodiment of the invention；
Fig. 4 illustrates after showing the wireless gas sensor calibration of one embodiment of the invention with not calibrated accuracy comparison Figure；
Fig. 5 shows the structural representation of the wireless gas sensor on-line calibration system of one embodiment of the invention.
Embodiment
Below in conjunction with accompanying drawing, embodiments of the present invention is described in detail.
Fig. 1 is the schematic diagram of the wireless gas sensor on-line calibration method of one embodiment of the invention.As shown in figure 1, This is wireless, and gas sensor on-line calibration method includes：
S11：Multiple wireless gas sensors gather multiple gas concentrations at different moments, obtain each wireless gas sensing The gas concentration sequence of device collection；
S12：The bias data in each gas concentration sequence is rejected, to each gas concentration eliminated after bias data Sequence takes median, obtains the gas concentration vector of each wireless gas sensor；
S13：Each gas concentration vector is grouped by gas classification, with blending algorithm according to the gas after packet Concentration vector obtains the weight of each corresponding wireless gas sensor；
S14：According to the first concentration of the various gases of Weight Acquisition of the wireless gas sensor of each group；
S15：The gas concentration at each moment of the collection of each wireless gas sensor is entered with corresponding first concentration Row fitting, obtain the adjustment parameter of each wireless gas sensor；
S16：Each wireless gas sensor is calibrated according to the adjustment parameter.
The wireless gas sensor on-line calibration method of the present embodiment, solve in gas sensor on-line monitoring because long-term Instability problem caused by drift and other problemses, there is provided a kind of non-replaceable on-line calibration method of gas sensor, carry High agricultural product Cold Chain Logistics gas concentration monitoring efficiencies, it is ensured that the degree of accuracy of agricultural product Cold Chain Logistics gas concentration monitoring.
In a kind of optional embodiment, the bias data rejected in each gas concentration sequence, picked to each Except the gas concentration sequence after bias data takes median, the gas concentration vector of each wireless gas sensor, bag are obtained Include：
If the concentration P of the gas of wireless gas sensor collection sometimeitSatisfaction is then rejected with lower inequality：
Wherein, P1,...,Pi,...,PnFor n different gas sensors；Each gas sensing node chronologically obtains One group to gas concentration sequence ＜ t, Pi＞；PitIt is i-th of sensor in t perception data,It is sensor i in difference The perception data average at moment；
To each gas concentration sequence ＜ t, P eliminated after bias datai＞ takes median, obtains each wireless gas The gas concentration vector P of sensort；
Wherein, Pt={ Pt1,...,Pti,...,Ptn, PtiThe gas concentration gathered for sensor P in moment ti.
It should be noted that when sequence number n is odd number：Pt=Pt(n+1/2)；When n is even number：
Further, it is described that each gas concentration vector is grouped by gas classification, with blending algorithm according to point Gas concentration vector after group obtains the weight of each corresponding wireless gas sensor, including：
The weight of each wireless gas sensor is obtained according to below equation：
Wherein, 0≤Wi (t)≤1；The accuracy and stability number of the gas concentration of number are gathered for each gas sensor Value represents；M is the number of similar gas sensor,It is the accuracy and stability of affiliated group of all gas sensors Numerical value sum；Fij(t) it is degrees of fusion function, 0≤Fij(t)≤1, Pi(t), Pj(t) it is gas concentration with group and gas with various sensor in moment t collection.
Further, the first concentration of the various gases of Weight Acquisition of the wireless gas sensor according to each group, bag Include：
Sequence from big to small is carried out to the weight of the wireless gas sensor of each group；
Before the weight for obtaining the wireless gas sensor of each groupIndividual gathered gas concentration is as the first concentration
Wherein, N is the number of certain class gas sensor.
Further, the gas concentration at each moment of the collection by each wireless gas sensor and corresponding the One concentration is fitted, and obtains the adjustment parameter of each wireless gas sensor, including：
The gas concentration at each moment of the collection of each wireless gas sensor is carried out most with corresponding first concentration Small SVMs fitting or least square fitting, obtain the adjustment parameter of each wireless gas sensor.
In actual applications, the first of the gas concentration at different moments of each wireless gas sensor and these moment is dense Degree fitting so that object functionReach minimum, when calculating each wireless gas sensor gathered data Deviate the parameter of the first concentration.
Wherein, f (Pt) be sensor output-concentration mapping function,For the first concentration of fusion calculation.
Below to analyze O of the honey peach during 1 DEG C of Storage in cold bank of constant temperature2、CO2、C2H4Signal and 1 DEG C of -3 DEG C of sturgeon without O during water dormancy On Transportaion of Live2、CO2、NH3Illustrate the wireless gas sensor on-line calibration side of the present invention exemplified by signal Method.Pass through CO2、C2H4And NH3Remove and the O in adsorbent equipment control honey peach storage environment2、CO2、C2H4Volume fraction difference For oxygen：0-25%, carbon dioxide：0-15%, ethene：0-100ppm；Oxygen is 25-65% in sturgeon transport keep-alive environment, Carbon dioxide：0-5%, ammonia：0-300ppm.
Fig. 2 shows the schematic layout pattern of the wireless gas sensor of one embodiment of the invention.As shown in Fig. 2 using The CC2530 on-chip systems of Texas Instrument be used for collection and the networking Communication processing of distributed gas data.Distributed deployment Gas information data in the dynamic acquisition microenvironment of gas-monitoring node 1, the short distance 802.15.4 wireless telecommunications of pass-through mode 2 association Discuss tidal data recovering to telegon 3, delivering to car borne gateway 4 via serial ports carries out merging dynamic calibration processing.
Fig. 3 shows the schematic diagram of the wireless gas sensor on-line calibration method of one embodiment of the invention.Such as Fig. 3 institutes Show, the data of sensor array node collection are transmitted to telegon by wireless sensor network technology, and telegon is passed by serial ports To car borne gateway, gateway, which contains certain internal memory and processor resource, can effectively handle fused data and carry out online non-replaceable calibration Processing.It is O2, CO2, NH3 and C2H4 sensor integration respectively to forming together that each sensing module, which has 4 gas sensors probe, Distributed gas sense Vector Groups, gas sensing node collection refrigerator car or frozen products insulated container in different zones O2, CO2, C2H4 or NH3 data, setting sensor upload for every 5 minutes at interval of the environmental gas data of collection in 2 minutes, sensor node Data, it is grouped in telegon and delivers to gateway fusion process of fitting treatment.Dynamic is non-with changing calibration process needs every time 60min or so.
The step of wireless gas sensor on-line calibration method of present embodiment, is specific as follows：
(1) to havingnIndividual different gas sensor P1,...,Pi,...,Pn, in the gas concentration that t obtain at different moments Matrix PitRepresent gas concentration in refrigerator car or frozen products insulated container that distributed dynamic obtains；
(2) to gas concentration matrix PitIn each gas sensing node ＜ t, Pi＞, eliminate bias data set.In sequence In inequality judgement is done according to following equation repeatedlyScreen out thick abnormal data.Telegon Each node chooses median P to the sequence for eliminating singular data under synchronous radio network environmentt, gas data collection is carried out, Each node is calculated in gas concentration vector P at different momentst；
(3) gas concentration vector PtIn gateway node, the stability, reliable of each gas node is calculated using integration technology Property weight；
(4) before the weight for obtaining the wireless gas sensor of each groupIndividual gathered gas concentration is as the first concentration
(5) gateway node is inputted-responded the corresponding deviation of the online different time sections of classification progress according to gas sensor, Segmentation is fitted calculating according to t=1 ..., N so that object functionReach minimum；
The Fitting Calculation numeral output adjustment factor Δ C or simulation output are linear, Nonlinear Adjustment coefficientIt is logical Telegon is crossed to broadcast to each gas concentration sensing node；Divide three class signal transactings：
First kind signal is that unitary linear analog signal is carried outAdjustment obtains：
Calculate solution and obtain parameter：β0,β1；
It should be noted that what gas concentration data output was changed with the functional form of voltage or electric current, function can be Linear or nonlinear, fit procedure is with after fusion calculationWith gas data equation (linear function β0+β1Pt) Minimum SVMs or least-squares calculation obtain parameter beta0,β1.It is nonlinear also similar below.
Second class signal is unitary non-linear simulation signal outputSolution is calculated to be joined Number β0,...,βi,...,βk。
3rd class signal is that the calibration of TTL digital numerical values signal output is calculated as：C=C ± Δs C, Δ C are t sample side DifferenceCtThe gas concentration perceived for certain node moment；± represent calibration correction symbol χt, its value for+ Or-；WhenThen χt=+1；WhenThen χt=-1；WhenDo not count；When Δ C=0, χt=+.
TTL output be directly gas concentration data, adjustment simply corrected with sample variance, obtain numerically plus or The adjustment numerical value that subtracts one.
(6) sensing node receives calibration parameter β0,...,βi,...,βkOr ± Δ C, and write parameters to wireless biography Feel in the nonvolatile flash memory record of web-roll core piece, in case the gas concentration data of subsequent correction collection.
Fig. 4 illustrates after showing the wireless gas sensor calibration of one embodiment of the invention with not calibrated accuracy comparison Figure.It is as shown in figure 4, real by the honey peach trafficking experiments of Mengyin, Shandong to Singapore and the sturgeon On Transportaion of Live of Beijing North water food Checking understands that this method effectively approximate can improve gas concentration monitoring accuracy 3% or so, be carried for gas-monitoring with control Favourable guarantee is supplied.
Fig. 5 shows the structural representation of the wireless gas sensor on-line calibration system of one embodiment of the invention.Such as Shown in Fig. 5, this is wireless, and gas sensor on-line calibration system includes：
Gas concentration retrieval unit 51, for gathering multiple gas concentrations at different moments, obtain each wireless gas The gas concentration sequence of body sensor collection；
Gas concentration vector acquiring unit 52, for rejecting the bias data in each gas concentration sequence, picked to each Except the gas concentration sequence after bias data takes median, the gas concentration vector of each wireless gas sensor is obtained；
Gas sensor Weight Acquisition unit 53, for being grouped to each gas concentration vector by gas classification, fortune With the weight of blending algorithm wireless gas sensor according to corresponding to the gas concentration vector acquisition after packet is each；
First concentration acquiring unit 54, it is dense according to the first of the various gases of Weight Acquisition of the wireless gas sensor of each group Degree；
Adjustment parameter acquiring unit 55, for by the gas concentration at each moment of the collection of each wireless gas sensor It is fitted with corresponding first concentration, obtains the adjustment parameter of each wireless gas sensor；
Alignment unit 56, for being calibrated according to the adjustment parameter to each wireless gas sensor.
In a kind of optional embodiment, the gas concentration vector acquiring unit, it is further used for：
As the concentration P of the gas of wireless gas sensor collection sometimeitSatisfaction is then rejected with lower inequality：
Wherein, P1,...,Pi,...,PnFor n different gas sensors；Each gas sensing node chronologically obtains One group to gas concentration sequence ＜ t, Pi＞；PitIt is i-th of sensor in t perception data,It is sensor i in difference The perception data average at moment；
The gas concentration vector acquiring unit, it is additionally operable to each gas concentration sequence ＜ eliminated after bias data t,Pi＞ takes median, obtains the gas concentration vector P of each wireless gas sensort；
Wherein, Pt={ Pt1,...,Pti,...,Ptn, PtiThe gas concentration gathered for sensor P in moment ti.
Further, the gas sensor Weight Acquisition unit is specifically used for：
The weight of each wireless gas sensor is obtained according to below equation：
Wherein, 0≤Wi (t)≤1；The accuracy and stability number of the gas concentration of number are gathered for each gas sensor Value represents；M is the number of similar gas sensor,It is the accuracy and stability of affiliated group of all gas sensors Numerical value sum；Fij(t) it is degrees of fusion function, 0≤Fij(t)≤1, Pi(t), Pj(t) it is gas concentration with group and gas with various sensor in moment t collection.
Further, the first concentration acquiring unit is specifically used for：
Sequence from big to small is carried out to the weight of the wireless gas sensor of each group；
Before the weight for obtaining the wireless gas sensor of each groupIndividual gathered gas concentration is as the first concentration；
Wherein, N is the number of certain class gas sensor.
Further, the adjustment parameter acquiring unit is specifically used for：
The gas concentration at each moment of the collection of each wireless gas sensor is carried out most with corresponding first concentration Small SVMs fitting or least square fitting, obtain the adjustment parameter of each wireless gas sensor.
The on-line calibration system of wireless gas sensor described in the present embodiment can be used for performing above method embodiment, Its principle is similar with technique effect, and here is omitted.
Wireless gas sensor on-line calibration method and system provided by the invention, are solved in gas sensor on-line monitoring A kind of instability problem caused by long term drift and other problemses, there is provided the non-replaceable on-line calibration side of gas sensor Method, improve agricultural product Cold Chain Logistics gas concentration monitoring efficiency, it is ensured that agricultural product Cold Chain Logistics gas concentration monitors accurate Degree.
Although being described in conjunction with the accompanying embodiments of the present invention, those skilled in the art can not depart from this hair Various modifications and variations are made in the case of bright spirit and scope, such modifications and variations are each fallen within by appended claims Within limited range.

Claims (6)

  1. A kind of 1. wireless gas sensor on-line calibration method, it is characterised in that including：
    Multiple wireless gas sensors gather multiple gas concentrations at different moments, obtain each wireless gas sensor collection Gas concentration sequence；
    The bias data in each gas concentration sequence is rejected, in being taken to each gas concentration sequence eliminated after bias data Digit, obtain the gas concentration vector of each wireless gas sensor；
    Each gas concentration vector is grouped by gas classification, with blending algorithm according to the gas concentration vector after packet Obtain the weight of each corresponding wireless gas sensor；
    According to the first concentration of the various gases of Weight Acquisition of the wireless gas sensor of each group；
    The gas concentration at each moment of the collection of each wireless gas sensor is fitted with corresponding first concentration, obtained Take the adjustment parameter of each wireless gas sensor；
    Each wireless gas sensor is calibrated according to the adjustment parameter；
    The bias data rejected in each gas concentration sequence, to each gas concentration sequence eliminated after bias data Median is taken, obtains the gas concentration vector of each wireless gas sensor, including：
    If the concentration P of the gas of wireless gas sensor collection sometimeitSatisfaction is then rejected with lower inequality：
    <mrow> <mo>|</mo> <mrow> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mi>t</mi> </mrow> </msub> <mo>-</mo> <mover> <msub> <mi>P</mi> <mi>i</mi> </msub> <mo>&amp;OverBar;</mo> </mover> </mrow> <mo>|</mo> <mo>&gt;</mo> <mrow> <mo>(</mo> <mfrac> <mn>1</mn> <mi>n</mi> </mfrac> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mi>t</mi> </mrow> </msub> <mo>)</mo> </mrow> <mo>&amp;CenterDot;</mo> <msqrt> <mfrac> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <mrow> <mo>(</mo> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mi>t</mi> </mrow> </msub> <mo>-</mo> <mover> <msub> <mi>P</mi> <mi>i</mi> </msub> <mo>&amp;OverBar;</mo> </mover> <mo>)</mo> </mrow> </mrow> <mrow> <mi>n</mi> <mo>-</mo> <mn>1</mn> </mrow> </mfrac> </msqrt> <mo>;</mo> </mrow>
    Wherein, P1,...,Pi,...,PnFor n different gas sensors；Each gas sensing node chronologically obtains one group To gas concentration sequence ＜ t, Pi＞；PitIt is i-th of sensor in t perception data,It is sensor i at different moments Perception data average；
    To each gas concentration sequence ＜ t, P eliminated after bias datai＞ takes median, obtains each wireless gas sensing The gas concentration vector P of devicet；
    Wherein, Pt={ Pt1,...,Pti,...,Ptn, PtiThe gas concentration gathered for sensor P in moment ti；
    It is described that each gas concentration vector is grouped by gas classification, with blending algorithm according to the gas concentration after packet Vector obtains the weight of each corresponding wireless gas sensor, including：
    The weight of each wireless gas sensor is obtained according to below equation：
    <mrow> <msubsup> <mi>W</mi> <mi>i</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </msubsup> <mo>=</mo> <mfrac> <msubsup> <mi>&amp;theta;</mi> <mi>i</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </msubsup> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <msubsup> <mi>&amp;theta;</mi> <mi>i</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </msubsup> </mrow> </mfrac> <mo>=</mo> <mfrac> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <msub> <mi>F</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>/</mo> <mi>m</mi> <mo>&amp;times;</mo> <mfrac> <mn>1</mn> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mi>j</mi> <mi>m</mi> </munderover> <mfrac> <msup> <mrow> <mo>(</mo> <msubsup> <mi>&amp;mu;</mi> <mi>i</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </msubsup> <mo>-</mo> <msub> <mi>F</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mi>m</mi> </mfrac> </mrow> </mfrac> </mrow> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <mrow> <mo>(</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <msub> <mi>F</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>/</mo> <mi>m</mi> <mo>&amp;times;</mo> <mfrac> <mn>1</mn> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mi>j</mi> <mi>m</mi> </munderover> <mfrac> <msup> <mrow> <mo>(</mo> <msubsup> <mi>&amp;mu;</mi> <mi>i</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </msubsup> <mo>-</mo> <msub> <mi>F</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mi>m</mi> </mfrac> </mrow> </mfrac> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>;</mo> </mrow>
    Wherein, 0≤Wi (t)≤1；θi (t)The accuracy and stability numerical tabular of the gas concentration of number are gathered for each gas sensor Show；M is the number of similar gas sensor,It is the accuracy and stability numerical value of affiliated group of all gas sensors Sum；Fij(t) it is degrees of fusion function, 0≤Fij(t)≤1,Pi (t), Pj(t) it is gas concentration with group and gas with various sensor in moment t collection.
  2. 2. wireless gas sensor on-line calibration method according to claim 1, it is characterised in that described according to each group First concentration of the various gases of Weight Acquisition of wireless gas sensor, including：
    Sequence from big to small is carried out to the weight of the wireless gas sensor of each group；
    Before the weight for obtaining the wireless gas sensor of each groupIndividual gathered gas concentration is as the first concentration；
    Wherein, N is the number of certain class gas sensor.
  3. 3. wireless gas sensor on-line calibration method according to claim 1, it is characterised in that it is described will it is each wirelessly The gas concentration at each moment of the collection of gas sensor is fitted with corresponding first concentration, obtains each wireless gas The adjustment parameter of sensor, including：
    The gas concentration at each moment of the collection of each wireless gas sensor is subjected to most ramuscule with corresponding first concentration Vector machine fitting or least square fitting are held, obtains the adjustment parameter of each wireless gas sensor.
  4. A kind of 4. wireless gas sensor on-line calibration system, it is characterised in that including：
    Gas concentration retrieval unit, for gathering multiple gas concentrations at different moments, obtain each wireless gas sensing The gas concentration sequence of device collection；
    Gas concentration vector acquiring unit, for rejecting the bias data in each gas concentration sequence, eliminated partially to each Median is taken from the gas concentration sequence after data, obtains the gas concentration vector of each wireless gas sensor；
    Gas sensor Weight Acquisition unit, for being grouped to each gas concentration vector by gas classification, with fusion The weight of algorithm wireless gas sensor according to corresponding to the gas concentration vector acquisition after packet is each；
    First concentration acquiring unit, according to the first concentration of the various gases of Weight Acquisition of the wireless gas sensor of each group；
    Adjustment parameter acquiring unit, for by the gas concentration at each moment of the collection of each wireless gas sensor with it is corresponding The first concentration be fitted, obtain the adjustment parameter of each wireless gas sensor；
    Alignment unit, for being calibrated according to the adjustment parameter to each wireless gas sensor；
    The gas concentration vector acquiring unit, is further used for：
    As the concentration P of the gas of wireless gas sensor collection sometimeitSatisfaction is then rejected with lower inequality：
    <mrow> <mo>|</mo> <mrow> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mi>t</mi> </mrow> </msub> <mo>-</mo> <mover> <msub> <mi>P</mi> <mi>i</mi> </msub> <mo>&amp;OverBar;</mo> </mover> </mrow> <mo>|</mo> <mo>&gt;</mo> <mrow> <mo>(</mo> <mfrac> <mn>1</mn> <mi>n</mi> </mfrac> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mi>t</mi> </mrow> </msub> <mo>)</mo> </mrow> <mo>&amp;CenterDot;</mo> <msqrt> <mfrac> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <mrow> <mo>(</mo> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mi>t</mi> </mrow> </msub> <mo>-</mo> <mover> <msub> <mi>P</mi> <mi>i</mi> </msub> <mo>&amp;OverBar;</mo> </mover> <mo>)</mo> </mrow> </mrow> <mrow> <mi>n</mi> <mo>-</mo> <mn>1</mn> </mrow> </mfrac> </msqrt> <mo>;</mo> </mrow>
    Wherein, P1,...,Pi,...,PnFor n different gas sensors；Each gas sensing node chronologically obtains one group To gas concentration sequence ＜ t, Pi＞；PitIt is i-th of sensor in t perception data,It is sensor i at different moments Perception data average；
    The gas concentration vector acquiring unit, it is additionally operable to each gas concentration sequence ＜ t, P eliminated after bias datai ＞ takes median, obtains the gas concentration vector P of each wireless gas sensort；
    Wherein, Pt={ Pt1,...,Pti,...,Ptn, PtiThe gas concentration gathered for sensor P in moment ti；
    The gas sensor Weight Acquisition unit is further used for：
    The weight of each wireless gas sensor is obtained according to below equation：
    <mrow> <msubsup> <mi>W</mi> <mi>i</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </msubsup> <mo>=</mo> <mfrac> <msubsup> <mi>&amp;theta;</mi> <mi>i</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </msubsup> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <msubsup> <mi>&amp;theta;</mi> <mi>i</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </msubsup> </mrow> </mfrac> <mo>=</mo> <mfrac> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <msub> <mi>F</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>/</mo> <mi>m</mi> <mo>&amp;times;</mo> <mfrac> <mn>1</mn> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mi>j</mi> <mi>m</mi> </munderover> <mfrac> <msup> <mrow> <mo>(</mo> <msubsup> <mi>&amp;mu;</mi> <mi>i</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </msubsup> <mo>-</mo> <msub> <mi>F</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mi>m</mi> </mfrac> </mrow> </mfrac> </mrow> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <mrow> <mo>(</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <msub> <mi>F</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>/</mo> <mi>m</mi> <mo>&amp;times;</mo> <mfrac> <mn>1</mn> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mi>j</mi> <mi>m</mi> </munderover> <mfrac> <msup> <mrow> <mo>(</mo> <msubsup> <mi>&amp;mu;</mi> <mi>i</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </msubsup> <mo>-</mo> <msub> <mi>F</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mi>m</mi> </mfrac> </mrow> </mfrac> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>;</mo> </mrow>
    Wherein, 0≤Wi (t)≤1；θi (t)The accuracy and stability numerical tabular of the gas concentration of number are gathered for each gas sensor Show；M is the number of similar gas sensor,It is the accuracy and stability numerical value of affiliated group of all gas sensors Sum；Fij(t) it is degrees of fusion function, 0≤Fij(t)≤1,Pi (t), Pj(t) it is gas concentration with group and gas with various sensor in moment t collection.
  5. 5. wireless gas sensor on-line calibration system according to claim 4, it is characterised in that first concentration obtains Unit is taken to be further used for：
    Sequence from big to small is carried out to the weight of the wireless gas sensor of each group；
    Before the weight for obtaining the wireless gas sensor of each groupIndividual gathered gas concentration is as the first concentration；
    Wherein, N is the number of certain class gas sensor.
  6. 6. wireless gas sensor on-line calibration system according to claim 4, it is characterised in that the adjustment parameter obtains Unit is taken to be further used for：
    The gas concentration at each moment of the collection of each wireless gas sensor is subjected to most ramuscule with corresponding first concentration Vector machine fitting or least square fitting are held, obtains the adjustment parameter of each wireless gas sensor.
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