CN202018424U - Food-safety detecting instrument - Google Patents

Food-safety detecting instrument Download PDF

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Publication number
CN202018424U
CN202018424U CN2011200491715U CN201120049171U CN202018424U CN 202018424 U CN202018424 U CN 202018424U CN 2011200491715 U CN2011200491715 U CN 2011200491715U CN 201120049171 U CN201120049171 U CN 201120049171U CN 202018424 U CN202018424 U CN 202018424U
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China
Prior art keywords
sampling switch
food
input end
data acquisition
data
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Expired - Fee Related
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CN2011200491715U
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Chinese (zh)
Inventor
丁建军
孙超
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Jianghan University
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Jianghan University
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Abstract

The utility model discloses a food-safety detecting instrument, which comprises a plurality of sensors, a multipath sampling switch, a data acquisition module and a computer, wherein the output end of each sensor is respectively connected with the input end of the multipath sampling switch, and the output end of the multipath sampling switch is connected with the computer through the data acquisition module. The food-safety detecting instrument is characterized in that: the sensors comprise a piezoelectric sensor, a spectrophotometer and an electrochemical analyzer, and the piezoelectric sensor is connected with the input end of the multipath sampling switch through a first analog-to-digital converter; the spectrophotometer is connected with the input end of the multipath sampling switch through a photoelectric isolation module; and the electrochemical analyzer is connected with the input end of the multipath sampling switch through a second analog-to-digital converter. Through the food-safety detecting instrument, the parallel data acquisition of the sensors and the parallel processing of harmful-substance content information are realized, the detecting efficiency of harmful substances in foods is improved, the detecting cost of food safety is lowered, and the reliability of detecting data is ensured.

Description

The food safety detection instrument
Technical field
The utility model relates to the signal testing technical field, particularly a kind of food safety detection instrument.
Technical background
Along with improving constantly of living standard, people more and more pay close attention to the safety problem of food, simultaneously, because the security of food directly has influence on people health, so the safety detection of food also is a global difficult problem, national governments all take strong measure to guarantee the safety of food, and domestic and international market is more and more stricter to the quality requirements of food.In the case, market at different levels also becomes increasingly complex to the safety detection program of food.Existing food safety detection instrument can only detect single harmful substance contents, multiple harmful substances can only be detected by a plurality of detectors of correspondence, reduced food safety detection efficient, increased the cost of food safety detection, and the reliability of detection data is difficult to be guaranteed.
The utility model content
The purpose of this utility model is at above-mentioned technical matters, and the food safety detection instrument of multiple harmful substances content in a kind of energy measurement food is provided.
For realizing this purpose, a kind of food safety detection instrument that the utility model is designed, comprise a plurality of sensors, multi-channel sampling switch, data acquisition module and computing machine, wherein the output terminal of each sensor links to each other with the input end of multi-channel sampling switch respectively, the output terminal of multi-channel sampling switch is connected with computing machine by data acquisition module, it is characterized in that: a plurality of sensors comprise piezoelectric sensor, spectrophotometer and electrochemical analyser, and piezoelectric sensor links to each other with the input end of multi-channel sampling switch by first analog to digital converter; Spectrophotometer joins by the input end of photoelectric isolation module and multi-channel sampling switch; Electrochemical analyser is connected with the input end of multi-channel sampling switch by second analog to digital converter.
Also be connected with the signal amplification module between the described piezoelectric sensor and first analog to digital converter.
Described data acquisition module comprises ARM development board, CPLD control module and data-carrier store, wherein, the ARM development board links to each other with data-carrier store with the CPLD control module respectively, the output terminal of described multi-channel sampling switch is connected with the ARM development board, and computing machine also is connected with the ARM development board by data bus.
Described electrochemical analyser is polarography electrochemical analyser or stripping voltammetry electrochemical analyser.
The utility model by the content of agricultural chemicals in the spectrophotometer detection food, detects the content of heavy metal in the food by the content of piezoelectric sensor detection formaldehyde in food by electrochemical analyser.The above-mentioned data that collect are sent into by data acquisition module and are carried out data analysis in the computing machine, draw the result whether above-mentioned objectionable impurities in the food exceeds standard.The utility model has been realized the parallel data acquisition of multisensor and the parallel processing of harmful substance contents information, has improved the efficient that objectionable impurities detects in the food, has reduced the cost of food safety detection, and the reliability of detection data is guaranteed.
Description of drawings
Fig. 1 theory diagram of the present utility model.
Embodiment
The utility model is described in further detail below in conjunction with drawings and Examples:
A kind of food safety detection instrument as shown in Figure 1, it comprises piezoelectric sensor, spectrophotometer, photoelectric isolation module, multi-channel sampling switch, data acquisition module, first analog to digital converter, signal amplification module, electrochemical analyser, second analog to digital converter, computing machine, wherein, the signal output part of piezoelectric sensor connects the signal input part of first analog to digital converter by the signal amplification module, and the signal output part of first analog to digital converter connects the data acquisition port of data acquisition module by multi-channel sampling switch; Spectrophotometer connects the signal input part of photoelectric isolation module, and the signal output part of photoelectric isolation module also connects the data acquisition port of data acquisition module by multi-channel sampling switch; The electrical signal of electrochemical analyser connects the signal input part of second analog to digital converter, and the signal output part of second analog to digital converter connects the data acquisition port of data acquisition module by multi-channel sampling switch; Data acquisition module connects computing machine by data bus.
In the technique scheme, data acquisition module comprises ARM development board, CPLD control module and data-carrier store, wherein, the ARM development board links to each other with data-carrier store with the CPLD control module respectively, the output terminal of described multi-channel sampling switch is connected with the ARM development board, and computing machine also is connected with the ARM development board by data bus.
In the technique scheme, electrochemical analyser is polarography electrochemical analyser or stripping voltammetry electrochemical analyser.Wherein, the principle of work of polarography electrochemical analyser is in containing the electrolytic cell of measured matter, inject two electrodes, one is dropping-mercury electrode, one is contrast electrode (as mercurous chloride electrode), adds one in time and the DC voltage of linear change, and the polarogram electric current by electrolytic cell produces voltage drop iR on resistance R, after amplifying,, enter and carry out data analysis in the computing machine by multi-channel sampling switch, analog to digital converter and data acquisition module.
The utility model is converted to electric signal by piezoelectric sensor with the content of formaldehyde, the content of formaldehyde data of carrying in the electric signal are successively through delivering to computing machine after signal amplification, analog to digital conversion, the data acquisition, through storage and the calculation process of computing machine, draw the final detection result of content of formaldehyde in the food sample to information.In addition, can also carry out online programming, simplify writing of program, reduce testing staff's workload computing machine.The sensor circuit of designing has been realized the collection of signal, and meter is analyzed and memory function frequently, has stronger interference free performance, helps to improve the systematic analysis detectability.This circuit safety is reliable, is applicable to practical application, for the precision that improves the formaldehyde in food content detection, improves detection speed and has great significance.
The utility model detects the content of agricultural chemicals (particularly organophosphorus and carbamate chemicals for agriculture) in the food by spectrophotometer, spectrophotometer is by measuring the absorbance log of tested agricultural chemicals light in certain wave strong point or certain wavelength coverage, this material is carried out qualitative and quantitative analysis, convert the content data of agricultural chemicals to electric signal, analyze through entering in the computing machine behind photoelectric isolation module and the data acquisition module successively.
The utility model is by the content of heavy metal such as lead in the electrochemical analyser detection food, lead ion has good electrochemical, and the instrument and equipment of analyzing for electrical property is simple, sampling quantity is few, highly sensitive, therefore advantageous with this method sounding lead content.The electrochemical analysis method of measuring trace lead in the food can use stripping voltammetry and polarography.
The utility model comes the above-mentioned the sort of objectionable impurities of control detection by the break-make of every way switch in the control multi pass acquisition switch.Has good selectivity measuring ability.
Following mask body is introduced the acquisition mode of above-mentioned harmful substance contents data in the utility model: earlier by piezoelectric sensor in the system, spectrophotometer, electrochemical analyser respectively to the material multiple to be detected of correspondence as formaldehyde, heavy metal lead, the content of organophosphorus and carbamate chemicals for agriculture carries out spot sampling, the electric signal that collects is through amplifying, signal is sent in the ARM development board of data acquisition module through multi-channel sampling switch again after the processing such as analog to digital conversion or photoelectricity isolation, and signal is deposited in the data-carrier store by the ARM development board, after the data of depositing in the data-carrier store reach setting value, by the data in the CPLD controller generation interrupt request notice ARM development board reading of data storer.The state that the ARM development board is earlier judged sensor groups according to data is to infer whether sensor working properly, in time show the duty of sensor and abnormal conditions are made corresponding processing, data with above-mentioned various harmful substance contents merge then, the result after merging is sent to by interface carries out decision level fusion and trend analysis on the remote monitoring computing machine again.Like this, can alleviate the computing pressure of computing machine, reduce the data volume of Network Transmission,, improve the reliability and the real-time of food safety detection, optimize the performance of total system at the scene by the utilization flush bonding processor.
The content that this instructions is not described in detail belongs to this area professional and technical personnel's known prior art.

Claims (4)

1. food safety detection instrument, comprise a plurality of sensors, multi-channel sampling switch, data acquisition module and computing machine, wherein the output terminal of each sensor links to each other with the input end of multi-channel sampling switch respectively, the output terminal of multi-channel sampling switch is connected with computing machine by data acquisition module, it is characterized in that: a plurality of sensors comprise piezoelectric sensor, spectrophotometer and electrochemical analyser, and piezoelectric sensor links to each other with the input end of multi-channel sampling switch by first analog to digital converter; Spectrophotometer joins by the input end of photoelectric isolation module and multi-channel sampling switch; Electrochemical analyser is connected with the input end of multi-channel sampling switch by second analog to digital converter.
2. food safety detection instrument according to claim 1 is characterized in that: also be connected with the signal amplification module between the described piezoelectric sensor and first analog to digital converter.
3. food safety detection instrument according to claim 1, it is characterized in that: described data acquisition module comprises ARM development board, CPLD control module and data-carrier store, wherein, the ARM development board links to each other with data-carrier store with the CPLD control module respectively, the output terminal of described multi-channel sampling switch is connected with the ARM development board, and computing machine also is connected with the ARM development board by data bus.
4. food safety detection instrument according to claim 1 is characterized in that: described electrochemical analyser is polarography electrochemical analyser or stripping voltammetry electrochemical analyser.
CN2011200491715U 2011-02-28 2011-02-28 Food-safety detecting instrument Expired - Fee Related CN202018424U (en)

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CN2011200491715U CN202018424U (en) 2011-02-28 2011-02-28 Food-safety detecting instrument

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Application Number Priority Date Filing Date Title
CN2011200491715U CN202018424U (en) 2011-02-28 2011-02-28 Food-safety detecting instrument

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102565435A (en) * 2012-01-19 2012-07-11 杭州电子科技大学 Portable food safety detector
CN105043453A (en) * 2015-08-31 2015-11-11 福州市台江区振斌高效电磁聚能科技研究所 Food safety inspection device
CN108918626A (en) * 2018-07-30 2018-11-30 南京工业大学 Concentration-response type biochemistry multicomponent in-line analyzer
CN112903623A (en) * 2021-01-28 2021-06-04 沈阳祥宝科技有限公司 Infrared detection surface harmful substance detection system
CN113029990A (en) * 2021-05-25 2021-06-25 广元市产品质量监督检验所 Food safety detection system and method with sensor network
CN113836081A (en) * 2021-09-29 2021-12-24 南方电网数字电网研究院有限公司 System-on-a-chip architecture

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102565435A (en) * 2012-01-19 2012-07-11 杭州电子科技大学 Portable food safety detector
CN105043453A (en) * 2015-08-31 2015-11-11 福州市台江区振斌高效电磁聚能科技研究所 Food safety inspection device
CN105043453B (en) * 2015-08-31 2017-11-10 长乐芯聚电子科技研究所 Food safety inspection device
CN108918626A (en) * 2018-07-30 2018-11-30 南京工业大学 Concentration-response type biochemistry multicomponent in-line analyzer
CN112903623A (en) * 2021-01-28 2021-06-04 沈阳祥宝科技有限公司 Infrared detection surface harmful substance detection system
CN113029990A (en) * 2021-05-25 2021-06-25 广元市产品质量监督检验所 Food safety detection system and method with sensor network
CN113836081A (en) * 2021-09-29 2021-12-24 南方电网数字电网研究院有限公司 System-on-a-chip architecture
CN113836081B (en) * 2021-09-29 2024-01-23 南方电网数字电网研究院有限公司 System-on-chip architecture

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Granted publication date: 20111026

Termination date: 20140228