CN111443172A - Distributed food detection method - Google Patents
Distributed food detection method Download PDFInfo
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- CN111443172A CN111443172A CN202010306497.5A CN202010306497A CN111443172A CN 111443172 A CN111443172 A CN 111443172A CN 202010306497 A CN202010306497 A CN 202010306497A CN 111443172 A CN111443172 A CN 111443172A
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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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
- G01N35/00584—Control arrangements for automatic analysers
- G01N35/0092—Scheduling
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
- G01N35/0099—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor comprising robots or similar manipulators
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
- G01N35/10—Devices for transferring samples or any liquids to, in, or from, the analysis apparatus, e.g. suction devices, injection devices
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
- G01N2035/00465—Separating and mixing arrangements
- G01N2035/00475—Filters
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
- G01N2035/00465—Separating and mixing arrangements
- G01N2035/00495—Centrifuges
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- Engineering & Computer Science (AREA)
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Abstract
The invention relates to a distributed food detection method.A waste storage workstation, a consumable storage workstation, a sample storage workstation and a weighing and sample distributing workstation of a food storage working area are arranged in a detection area; a management station is arranged at the periphery of the detection area; the intelligent carrying manipulator realizes carrying of samples to be tested, sample liquid, consumables, waste materials and detection reagents among the workstations according to the downlink information of the management station. The management station coordinates the coordination work among all the workstations, collects the sample information of all the workstations, and is convenient for counting and managing data. The full-process automatic operation of food detection processes such as intelligent sample storage and information management, sample weighing, sample pretreatment, sample introduction and sample, sample solution analysis and waste material recovery is realized. On the premise of ensuring the accuracy, the efficiency is improved.
Description
Technical Field
The invention relates to a detection technology, in particular to a distributed food detection method.
Background
In the field of traditional food detection, samples to be detected of food are prepared, weighed, subjected to various pretreatment processes and finally sent into a detection instrument, and the detection instrument is mainly operated step by means of manpower. The manual operation not only needs a large amount of human resources, but also has the problems of inconsistent sample pretreatment, low efficiency, great influence of personnel factors on the accuracy of detection results and the like.
Disclosure of Invention
The invention provides a distributed food detection method aiming at the problem of low food detection efficiency, and realizes full-process automatic intelligent operation of food detection processes such as intelligent sample storage and information management, sample weighing, sample pretreatment, sample introduction and sample, sample analysis liquid and waste material recovery.
The technical scheme of the invention is as follows: a distributed food detection method, there are waste material storage work station, consumptive material storage work station, sample storage work station and weighing sample distribution work station of the food storage work area in the detection area, the preliminary treatment work station, high flux sample introduction work station, gyration sample introduction work station and detecting instrument work station of the food inspection work area, the food storage work area is isolated by the working channel with the food inspection work area; a management station is arranged at the periphery of the detection area;
putting a sample to be measured into a sample storage workstation, registering and recording the sample by the sample storage workstation, uploading a signal to a management station after the registration and recording, sending the signal into a weighing and sample distributing workstation by the management station, accurately weighing the sample by the weighing and sample distributing workstation and reporting the weighed sample to the management station; the management station sends the weight notice to a corresponding container in the pretreatment workstation, and simultaneously informs the consumable storage workstation to realize consumables required in the detection process, and after the consumable storage workstation responds, the management station informs the consumable to be sent to the pretreatment workstation; the pretreatment workstation carries out detection pretreatment of quantitatively adding a detection reagent, whirling, oscillating, centrifuging and transferring various foods to the samples subpackaged into the pretreatment detection container; after the treatment is finished, the sample is sent to a high-flux sample injection workstation, and the sample liquid to be measured is filtered and subjected to liquid separation; after the high-flux sample injection workstation finishes working, a signal is uploaded to a management station, the management station informs a rotary sample injection workstation, samples to be tested and sample liquid processed by the high-flux sample injection workstation are conveyed to a detection instrument workstation, and meanwhile the management station informs that test waste is conveyed to a waste storage workstation; the detection instrument workstation realizes that a sample to be detected is taken from the automatic sample injector and injected into the detection instrument workstation, the quantitative detection of chemical components is carried out, and a detection report is output;
the intelligent carrying manipulator realizes carrying of samples to be tested, sample liquid, consumables, waste materials and detection reagents among the workstations according to the downlink information of the management station.
The invention has the beneficial effects that: the distributed food detection method disclosed by the invention realizes full-automatic intelligent detection and improves the efficiency on the premise of ensuring the accuracy.
Drawings
FIG. 1 is a schematic diagram of a distributed food detection system according to the present invention;
FIG. 2 is a flow chart of a distributed food detection method of the present invention.
Detailed Description
As shown in figure 1, the distributed food detection system comprises a management station at the periphery of a detection area, an electronic fence 1 around the detection area, a waste storage workstation 2, a consumable storage workstation 3, a sample storage workstation 4 and a weighing and sample distributing workstation 5 of the food storage workstation, a pretreatment workstation 6, a high-throughput sample introduction workstation 7, a rotary sample introduction workstation 9, a detection instrument workstation 10 and an intelligent carrying manipulator 8 of the food detection workstation. The food storage working area and the food inspection working area are separated by a working channel, and the intelligent carrying manipulator 8 runs in the working channel.
As shown in the flow chart of the distributed food detection method shown in fig. 2, a sample to be detected is placed in a sample storage workstation 4, the sample storage workstation 4 registers and records the sample, a signal is uploaded to a management station after the registration and the record, the management station informs an intelligent carrying manipulator to send the sample to be detected into a weighing and sample distributing workstation 5, and the weighing and sample distributing workstation 5 accurately weighs and reports the sample; the management station informs the intelligent carrying manipulator according to the weight and sends the intelligent carrying manipulator into a corresponding container in the pretreatment workstation, and simultaneously informs the consumable storage workstation to realize consumables required in the detection process, and after the consumable storage workstation responds, the intelligent carrying manipulator sends the consumables into the pretreatment workstation; the pretreatment workstation quantitatively adds detection reagents (including but not limited to various solid, liquid or gas reagents) to the samples subpackaged into the pretreatment detection container, and carries out the operation of various food detection pretreatment processes such as vortex, oscillation, centrifugation, transfer and the like; after the treatment is finished, the sample is sent to a high-flux sample injection workstation, and the sample liquid to be measured is filtered and subjected to liquid separation; after the high-flux sample injection workstation finishes working, a signal is uploaded to a management station, the management station informs a rotary sample injection workstation, samples to be tested and sample liquid processed by the high-flux sample injection workstation are conveyed to a detection instrument workstation, and meanwhile the management station informs that test waste is conveyed to a waste storage workstation; the detection instrument workstation realizes that a sample to be detected is taken from the automatic sample injector and injected into the detection instrument workstation, the quantitative detection of chemical components is carried out, and a detection report is output.
The electronic fence 1 realizes intelligent and full-automatic safety management of the system operation; the intelligent carrying manipulator 8 realizes carrying of samples to be detected, sample liquid, consumables, waste materials and detection reagents among all workstations of the distributed food detection system. The management station coordinates the coordination work among all the workstations, collects the sample information of all the workstations, and is convenient for counting and managing data. Each workstation self-manages the work of its own workstation, and is efficient.
Claims (1)
1. A distributed food detection method is characterized in that a waste storage workstation, a consumable storage workstation, a sample storage workstation and a weighing and sample distributing workstation of a food storage working area are arranged in a detection area, a pretreatment workstation, a high-flux sample injection workstation, a rotary sample loading workstation and a detection instrument workstation of a food detection working area are arranged in the detection area, and the food storage working area and the food detection working area are separated by a working channel; a management station is arranged at the periphery of the detection area;
putting a sample to be measured into a sample storage workstation, registering and recording the sample by the sample storage workstation, uploading a signal to a management station after the registration and recording, sending the signal into a weighing and sample distributing workstation by the management station, accurately weighing the sample by the weighing and sample distributing workstation and reporting the weighed sample to the management station; the management station sends the weight notice to a corresponding container in the pretreatment workstation, and simultaneously informs the consumable storage workstation to realize consumables required in the detection process, and after the consumable storage workstation responds, the management station informs the consumable to be sent to the pretreatment workstation; the pretreatment workstation carries out detection pretreatment of quantitatively adding a detection reagent, whirling, oscillating, centrifuging and transferring various foods to the samples subpackaged into the pretreatment detection container; after the treatment is finished, the sample is sent to a high-flux sample injection workstation, and the sample liquid to be measured is filtered and subjected to liquid separation; after the high-flux sample injection workstation finishes working, a signal is uploaded to a management station, the management station informs a rotary sample injection workstation, samples to be tested and sample liquid processed by the high-flux sample injection workstation are conveyed to a detection instrument workstation, and meanwhile the management station informs that test waste is conveyed to a waste storage workstation; the detection instrument workstation realizes that a sample to be detected is taken from the automatic sample injector and injected into the detection instrument workstation, the quantitative detection of chemical components is carried out, and a detection report is output;
the intelligent carrying manipulator realizes carrying of samples to be tested, sample liquid, consumables, waste materials and detection reagents among the workstations according to the downlink information of the management station.
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CN202010306497.5A CN111443172A (en) | 2020-04-17 | 2020-04-17 | Distributed food detection method |
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CN202010306497.5A CN111443172A (en) | 2020-04-17 | 2020-04-17 | Distributed food detection method |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112526083A (en) * | 2020-11-23 | 2021-03-19 | 西南林业大学 | Organic pollutant rapid detection and edible safety evaluation system in agricultural products |
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CN108828241A (en) * | 2018-03-15 | 2018-11-16 | 中国科学院合肥物质科学研究院 | A kind of soil nutrient automatic analysis system and its working method based on robot |
CN209148662U (en) * | 2018-11-09 | 2019-07-23 | 青岛农业大学 | Automatically control the mechanical structure of food inspection based on 3D vision |
CN209372831U (en) * | 2018-12-30 | 2019-09-10 | 深圳市格物正源质量标准系统有限公司 | Food safety moves quantitative experiment room |
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2020
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JPH11227941A (en) * | 1997-11-05 | 1999-08-24 | Zymark Corp | Robotic device to operate to process chemical product |
US20040047765A1 (en) * | 1998-10-16 | 2004-03-11 | Gordon Steven J. | Automated robotic workstation and methods of operation thereof |
CN101699283A (en) * | 2009-10-25 | 2010-04-28 | 华南农业大学 | Intelligent food safety detection system and detection method |
CN103370627A (en) * | 2010-10-29 | 2013-10-23 | 恩姆菲舍尔科技公司 | System layout for an automated system for sample preparation and analysis |
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