CN106248893A - A kind of detection device based on multiple sensors - Google Patents

A kind of detection device based on multiple sensors Download PDF

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Publication number
CN106248893A
CN106248893A CN201610839574.7A CN201610839574A CN106248893A CN 106248893 A CN106248893 A CN 106248893A CN 201610839574 A CN201610839574 A CN 201610839574A CN 106248893 A CN106248893 A CN 106248893A
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sensor
module
detection
detection module
detection device
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李游平
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Chengdu Chuanghui Keda Technology Co Ltd
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Chengdu Chuanghui Keda Technology Co Ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/02—Food
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/02—Food
    • G01N33/025—Fruits or vegetables

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  • Engineering & Computer Science (AREA)
  • Food Science & Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Medicinal Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

The invention discloses a kind of detection device based on multiple sensors, it is characterised in that: include detection module, data processing module and analysis module；Described detection module includes organophosphor detection module, carbamic acid lipid detection module, organochlorine detection module and pyrethroid detection module；Described detection module passes through data processing module linking parsing module.The pesticide residues analyte detection device of the present invention is easy to carry, volume is little, can be convenient to people and can directly use in buying vegetables；Simple to operate, it is possible to detection Multiple Pesticides residue, solve the problem that existing detection device can only carry out single detection, it is achieved the detection of multiple residue, obtain safer testing result.

Description

A kind of detection device based on multiple sensors
Technical field
The present invention relates to food detection field, a kind of detection device based on multiple sensors.
Background technology
Along with the development of agriculture industrialization, the production of agricultural product is increasingly dependent on the external sources such as pesticide, antibiotic and hormone Material.China's pesticide consumption on grain, veterinary antibiotics, Folium Camelliae sinensis remains high, and the unreasonable use of these materials will Cause the pesticide residues in agricultural product to exceed standard, affect consumer's edible safety, consumer can be caused time serious to cause a disease, the most just growing Often, even directly result in and be poisoned to death.The safety of food is worried by people very much, but existing detection in practical operation not The most convenient, also it is not easy to carry with simultaneously and quickly detects use, the detection of present food residual pesticide typically can only be examined Surveying one or both, and can not more comprehensively detect most residue, there is potential safety hazard, one can be convenient for carrying With quickly detection, and detection detects the design of equipment comprehensively and accurately and becomes particularly important.
Chemical method step is various, the longest, and the pesticide variety once detected is few, and the pesticide variety of bioanalysis detection is limited, It is difficult to the most quantitative detection.
Summary of the invention
The goal of the invention of the present invention is: for the problem of above-mentioned existence, it is provided that a kind of detection based on multiple sensors Device, provides detection method simultaneously.
The technical solution used in the present invention is as follows:
A kind of detection device based on multiple sensors of the present invention, including detection module, data processing module and analysis mould Block；Described detection module includes organophosphor detection module, carbamic acid lipid detection module, organochlorine detection module and intends deinsectization Chrysanthemum ester detection module；Described detection module passes through data processing module linking parsing module.
A kind of detection device based on multiple sensors of the present invention, described organophosphor detection module and the inspection of carbamic acid lipid Survey module and all use acetylcholine esterase sensor.
A kind of detection device based on multiple sensors of the present invention, the preparation method of described acetylcholine esterase sensor: Glass-carbon electrode is polished on polishing cloth with alumina powder respectively, is carried out with substantial amounts of redistilled water, by glass carbon Electrode moves in ultrasonic cleaning instrument and uses redistilled water, washes of absolute alcohol successively, dries；Take carboxylated multi-wall carbon nano-tube Pipe solution drop coating to the glassy carbon electrode surface handled well, then instill acetylcholine esterase, natural drying, then it is molten to instill polysaccharide Liquid.
A kind of detection device based on multiple sensors of the present invention, described organochlorine detection module uses ferrous ammonification Ag films sensor.
A kind of detection device based on multiple sensors of the present invention, the preparation method of described ferrous ammonification Ag films: by nitre Acid silver 2.5g and potassium ferrocyanide 1.3g is dissolved in 25mL water respectively, is joined by silver nitrate solution in potassium ferrocyanide solution, Whom centrifugation, wash to not silver ion repeatedly by precipitate with；Strong aqua ammonia 25mL is added, after shaking up, by thin in precipitation Film immerses 5min in suspension ammonia solution, takes out thin film hot blast drying.
A kind of detection device based on multiple sensors of the present invention, described pyrethroid detection module uses cell Sensor.
A kind of detection device based on multiple sensors of the present invention, the array electrode of described sensor include glass-carbon electrode and Ion Sensitive Microelectrode；Described ferrous ammonification Ag films sensor includes sensing element and recognition component；Described sensing element is Ferrous ammonification Ag films；Described recognition component is imageing sensor；Imageing sensor gathers the reaction face of ferrous ammonification Ag films Chromatic number evidence, carries out image procossing, according to the color of image obtained and the content of corresponding organochlorine and composition, it becomes possible to directly The content of the organochlorine in detection food and composition.
A kind of detection device based on multiple sensors of the present invention, also includes data fusion unit in described data module, The method of its data fusion includes following step:
Step one: the number that acetylcholine esterase sensor, ferrous ammonification Ag films sensor and cell sensor are gathered According to being sent in data processing module, collection data being carried out initialization and obtains sensor Support matrix, the structure K moment senses N+1 between device ties up Support matrix Tn+1(k)；
Step 2: calculate n+1 and tie up Support matrix Tn+1The eigenvalue λ of (k) and characteristic vector ai(k)；
Step 3: weight coefficient is normalized: weight coefficient
Step 4: according to weight coefficient formula, the fusion estimated value that can obtain K moment multisensor is:
y k = Σ i = 1 n + 1 w i ( k ) * y i ( k ) = a i ( k ) Σ j = 1 n + 1 a j ( k ) * y i ( k ) ;
Step 5: calculate fusion results according to merging estimated value.
Existing Support matrix data fusion method, it is considered that sensor sample value at a time consistent Property, and not can be shown that it is all consistent on whole surveying range, the difference equally existed between the moment, at whole surveying range Upper structure Support matrix, by Support matrix, can reflect sensor reliability on whole interval more accurately.
A kind of detection device based on multiple sensors of the present invention, builds the K moment in described data fusion method step one N+1 between sensor ties up Support matrix Tn+1The method of (k):
Step one: obtain the n+1 maintenance degree function T of K moment Support matrix according to function for supporti(n+1)(k)=exp (-a|yi(k)-yn+1(k) |), T(n+1)j(k)=exp (-a | yn+1(k)-yj(k)|)；yn+1K () is to merge in front K-1 the moment to estimate The average of value
Step 2: when taking K=1 during sensor the meansigma methods of sensor measurement data as being worth according to a preliminary estimate；
Step 3: structure n+1 ties up Support matrix Tn+1(k)。
In sum, owing to have employed technique scheme, the invention has the beneficial effects as follows:
1, easy to carry, complicated compared to the operation of existing pesticide residues analyte detection device, inconvenient to carry, the present invention's Test device body is amassed little, can be convenient to people and can directly use in buying vegetables.
2, simple to operate, directly by the sample embedding device of detection article uses, testing result can be clearly showed that, Detection need not numerous and diverse operation, it is not necessary to user possesses special use knowledge.
3, Multiple Pesticides residue can be detected, solve the problem that existing detection device can only carry out single detection, it is achieved The detection of multiple residue, obtains safer testing result.
4, realize the Data Fusion of multiple sensors, according to the convergence analysis of multiple detection data, obtain optimization Testing result, get rid of the Data duplication of multiple sensors Data processing and mistake.
Accompanying drawing explanation
Examples of the present invention will be described by way of reference to the accompanying drawings, wherein:
Fig. 1 is a kind of detection device based on multiple sensors of the present invention.
Detailed description of the invention
All features disclosed in this specification, or disclosed all methods or during step, except mutually exclusive Feature and/or step beyond, all can combine by any way.
Any feature disclosed in this specification (including any accessory claim, summary), unless specifically stated otherwise, By other equivalences or there is the alternative features of similar purpose replaced.I.e., unless specifically stated otherwise, each feature is a series of An example in equivalence or similar characteristics.
Embodiment one:
Such as Fig. 1, a kind of detection device based on multiple sensors of the present invention, including detection module, data processing module and Analyze module；Described detection module include organophosphor detection module, carbamic acid lipid detection module, organochlorine detection module and Pyrethroid detection module；Described detection module passes through data processing module linking parsing module.
A kind of detection device based on multiple sensors of the present invention, described organophosphor detection module and the inspection of carbamic acid lipid Survey module and all use acetylcholine esterase sensor.
Embodiment two:
Compared with embodiment one, embodiment adds technical characteristic, it is the preparation side of acetylcholine esterase sensor Method: glass-carbon electrode is polished on polishing cloth with alumina powder respectively, is carried out with substantial amounts of redistilled water, by glass Carbon electrode moves in ultrasonic cleaning instrument and uses redistilled water, washes of absolute alcohol successively, dries；Take carboxylated many walls carbon to receive Mitron solution drop coating to the glassy carbon electrode surface handled well, then instill acetylcholine esterase, natural drying, then it is molten to instill polysaccharide Liquid.
A kind of detection device based on multiple sensors of the present invention, described organochlorine detection module uses ferrous ammonification Ag films sensor.
A kind of detection device based on multiple sensors of the present invention, the preparation method of described ferrous ammonification Ag films: by nitre Acid silver 2.5g and potassium ferrocyanide 1.3g is dissolved in 25mL water respectively, is joined by silver nitrate solution in potassium ferrocyanide solution, Whom centrifugation, wash to not silver ion repeatedly by precipitate with；Strong aqua ammonia 25mL is added, after shaking up, by thin in precipitation Film immerses 5min in suspension ammonia solution, takes out thin film hot blast drying.
A kind of detection device based on multiple sensors of the present invention, described pyrethroid detection module uses cell Sensor.
A kind of detection device based on multiple sensors of the present invention, the array electrode of described sensor include glass-carbon electrode and Ion Sensitive Microelectrode；Described ferrous ammonification Ag films sensor includes sensing element and recognition component；Described sensing element is Ferrous ammonification Ag films；Described recognition component is imageing sensor；Imageing sensor gathers the reaction face of ferrous ammonification Ag films Chromatic number evidence, carries out image procossing, according to the color of image obtained and the content of corresponding organochlorine and composition, it becomes possible to directly The content of the organochlorine in detection food and composition.
Embodiment three:
Compared with embodiment one and two, the present embodiment also discloses and also includes data fusion unit in data module, its number Following step is included according to the method merged:
Step one: the number that acetylcholine esterase sensor, ferrous ammonification Ag films sensor and cell sensor are gathered According to being sent in data processing module, collection data being carried out initialization and obtains sensor Support matrix, the structure K moment senses N+1 between device ties up Support matrix Tn+1(k)；
Step 2: calculate n+1 and tie up Support matrix Tn+1The eigenvalue λ of (k) and characteristic vector ai(k)；
Step 3: weight coefficient is normalized: weight coefficient
Step 4: according to weight coefficient formula, the fusion estimated value that can obtain K moment multisensor is:
y k = Σ i = 1 n + 1 w i ( k ) * y i ( k ) = a i ( k ) Σ j = 1 n + 1 a j ( k ) * y i ( k ) ;
Step 5: calculate fusion results according to merging estimated value.
A kind of detection device based on multiple sensors of the present invention, builds the K moment in described data fusion method step one N+1 between sensor ties up Support matrix Tn+1The method of (k):
Step one: obtain the n+1 maintenance degree function T of K moment Support matrix according to function for supporti(n+1)(k)=exp (-a|yi(k)-yn+1(k) |), T(n+1)j(k)=exp (-a | yn+1(k)-yj(k)|)；yn+1K () is to merge in front K-1 the moment to estimate The average of value
Step 2: when taking K=1 during sensor the meansigma methods of sensor measurement data as being worth according to a preliminary estimate；
Step 3: structure n+1 ties up Support matrix Tn+1(k)。
The invention is not limited in aforesaid detailed description of the invention.The present invention expands to any disclose in this manual New feature or any new combination, and the arbitrary new method that discloses or the step of process or any new combination.

Claims (8)

1. a detection device based on multiple sensors, it is characterised in that: include detection module, data processing module and analysis Module；Described detection module includes that organophosphor detection module, carbamic acid lipid detection module, organochlorine detection module and plan are removed Worm chrysanthemum ester detection module；Described detection module passes through data processing module linking parsing module.
2. detection device based on multiple sensors as claimed in claim 1, it is characterised in that: described organophosphor detection module Acetylcholine esterase sensor is all used with carbamic acid lipid detection module.
3. detection device based on multiple sensors as claimed in claim 2, it is characterised in that: described acetylcholine esterase passes The preparation method of sensor: glass-carbon electrode is polished on polishing cloth with alumina powder respectively, uses substantial amounts of redistilled water It is carried out, glass-carbon electrode is moved into ultrasonic cleaning instrument uses redistilled water, washes of absolute alcohol successively, dry；Take carboxylic The multi-walled carbon nano-tubes solution drop coating of base to the glassy carbon electrode surface handled well, then instill acetylcholine esterase, naturally do Dry, then instill polysaccharide solution.
4. detection device based on multiple sensors as claimed in claim 1, it is characterised in that: described organochlorine detection module Use ferrous ammonification Ag films sensor；Described ferrous ammonification Ag films sensor includes sensing element and recognition component； Described sensing element is ferrous ammonification Ag films；Described recognition component is imageing sensor；Imageing sensor gathers ferrous ammonification The reaction color data of Ag films, carry out image procossing, according to the content of the color of image obtained and corresponding organochlorine with become Point, it becomes possible to obtain detecting content and the composition of the organochlorine in food.
5. detection device based on multiple sensors as claimed in claim 4, it is characterised in that: described ferrous ammonification Ag films Preparation method: silver nitrate 2.5g and potassium ferrocyanide 1.3g is dissolved in 25mL water respectively, silver nitrate solution is joined Asia In potassium ferricyanide solution, centrifugation, whom precipitate is washed to not silver ion repeatedly with；Strong aqua ammonia is added in precipitation 25mL, after shaking up, immerses thin film 5min in suspension ammonia solution, takes out thin film hot blast drying.
6. detection device based on multiple sensors as claimed in claim 1, it is characterised in that: described pyrethroid detects Module uses cell sensor.
7. detection device based on multiple sensors as claimed in claim 1, it is characterised in that: described data module is also wrapped Including data fusion unit, the method for its data fusion includes following step:
Step one: the data of acetylcholine esterase sensor, ferrous ammonification Ag films sensor and cell sensor collection are sent out Deliver in data processing module, collection data are carried out initialization and obtains sensor Support matrix, build between K moment sensor N+1 tie up Support matrix Tn+1(k)；
Step 2: calculate n+1 and tie up Support matrix Tn+1The eigenvalue λ of (k) and characteristic vector ai(k)；
Step 3: weight coefficient is normalized: weight coefficient
Step 4: according to weight coefficient formula, the fusion estimated value that can obtain K moment multisensor is:
y k = Σ i = 1 n + 1 w i ( k ) * y i ( k ) = a i ( k ) Σ j = 1 n + 1 a j ( k ) * y i ( k ) ;
Step 5: calculate fusion results according to merging estimated value.
8. detection device based on multiple sensors as claimed in claim 1, it is characterised in that: described data fusion method walks The n+1 built in rapid one between K moment sensor ties up Support matrix Tn+1The method of (k):
Step one: obtain the n+1 maintenance degree function T of K moment Support matrix according to function for supporti(n+1)(k)=exp (-ayi (k)-yn+1(k)), T(n+1)j(k)=exp (-ayn+1(k)-yj(k))；
yn+1K () is the average front K-1 the moment merging estimated value
Step 2: when taking K=1 during sensor the meansigma methods of sensor measurement data as being worth according to a preliminary estimate；
Step 3: structure n+1 ties up Support matrix Tn+1(k)。
CN201610839574.7A 2016-09-21 2016-09-21 A kind of detection device based on multiple sensors Pending CN106248893A (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2611904Y (en) * 2003-03-11 2004-04-14 吉林大学化学学院 Multifunctional detector for poisonous chemical residual pollutant in foodstuff
CN103529114A (en) * 2013-10-18 2014-01-22 山东理工大学 Rapid domestic fruit and vegetable pesticide residue detection instrument
CN104156583A (en) * 2014-08-04 2014-11-19 中国船舶重工集团公司第七0九研究所 Multi-sensor target synthesis method and system based on real-time and dynamic weight distribution
CN104374723A (en) * 2014-11-21 2015-02-25 长春长光思博光谱技术有限公司 Pesticide residue detector
CN104569039A (en) * 2014-12-05 2015-04-29 苏州国环环境检测有限公司 Method for detecting organophosphorus pesticide residues by adopting enzyme reactor
CN104698044A (en) * 2013-12-10 2015-06-10 上海闵临机电科技有限公司 Electronic tongue for food detection
CN105162951A (en) * 2015-07-28 2015-12-16 努比亚技术有限公司 Mobile terminal, and portable pesticide residues detection system and method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2611904Y (en) * 2003-03-11 2004-04-14 吉林大学化学学院 Multifunctional detector for poisonous chemical residual pollutant in foodstuff
CN103529114A (en) * 2013-10-18 2014-01-22 山东理工大学 Rapid domestic fruit and vegetable pesticide residue detection instrument
CN104698044A (en) * 2013-12-10 2015-06-10 上海闵临机电科技有限公司 Electronic tongue for food detection
CN104156583A (en) * 2014-08-04 2014-11-19 中国船舶重工集团公司第七0九研究所 Multi-sensor target synthesis method and system based on real-time and dynamic weight distribution
CN104374723A (en) * 2014-11-21 2015-02-25 长春长光思博光谱技术有限公司 Pesticide residue detector
CN104569039A (en) * 2014-12-05 2015-04-29 苏州国环环境检测有限公司 Method for detecting organophosphorus pesticide residues by adopting enzyme reactor
CN105162951A (en) * 2015-07-28 2015-12-16 努比亚技术有限公司 Mobile terminal, and portable pesticide residues detection system and method

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
伍周玲等: "新型固定化乙酰胆碱酯酶传感器的制备及氨基甲酸酯农残检测", 《浙江农林大学学报》 *
傅深娜: "基于卟啉的农药残留检测方法研究", 《中国优秀硕士学位论文全文数据库（电子期刊）》 *
无: "亚铁氨化银试纸法", 《HTTP://WWW.DOC88.COM/P-9065926418521.HTM》 *
杨佳等: "改进的动态加权多传感器数据融合算法", 《计算机工程》 *

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Application publication date: 20161221