CN106529784A - Method and device for judging sample qualification in risk monitoring information system - Google Patents
Method and device for judging sample qualification in risk monitoring information system Download PDFInfo
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- CN106529784A CN106529784A CN201610949585.0A CN201610949585A CN106529784A CN 106529784 A CN106529784 A CN 106529784A CN 201610949585 A CN201610949585 A CN 201610949585A CN 106529784 A CN106529784 A CN 106529784A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
Abstract
The invention discloses a method and a device for judging sample qualification in an agricultural product quality safety risk monitoring information system, which relate to the field of agricultural product quality safety. The method comprises steps: a detected target sample name, each target detection item corresponding to the target sample name and each detection result corresponding to each target detection item are received; according to a pre-configured corresponding relationship among the sample name, the detection item and the maximum residue limit, each maximum residue limit corresponding to the target sample name and each target detection item is searched; each detection result is compared with each maximum residue limit to obtain a comparison result; and according to the comparison result, the target sample is judged to be qualified in conditions in which each detection result is smaller than or equal to each maximum residue limit. Thus, the sample judgment accuracy can be improved, and the workload caused by using a paper form can be avoided.
Description
Technical field
The present invention relates to agricultural product quality and safety field, in particular it relates to a kind of agricultural product quality and safety Risk Monitoring letter
The decision method and device of sample passes in breath system.
Background technology
In the last few years, with the quickening of China's process of industrialization, agricultural pollution source is more and more, threat safe to food
Also it is increasingly severe.At present Quality Safety Problems of Agricultural Products is paid high attention to by government and various circles of society people, how to allow people
Eat safely, trust, it is secure, how to carry out agricultural product quality and safety supervision, how to ensure agricultural product quality and safety, into
For one of new stage of agricultural development principal contradiction urgently to be resolved hurrily.The Chinese government and relevant departments pay much attention to agricultural product quality peace
Full problem, from 2004 to 2010 in the continuous No.1 Central File of 7 years, clearly proposes and will accelerate agricultural product quality peace
Full supervisory system construction, and issued in succession People's Republic of China's agricultural product quality and safety method, People's Republic of China's food
The laws and regulations such as quality safety method, actively take measures to strengthen agricultural product quality supervision.2008, the Ministry of Agriculture set up agriculture
The special of agricultural product quality and safety supervision has been set up in Product quality and safety Supervision Bureau, about 50% districts and cities at present, the county more than 30%
Mechanism, quality inspection System Capacities at different levels build and constantly advance, and define covering Our Country Primary Cities, cover the monitoring of main farm produce
Network, has basically formed monitoring in accordance with the law, the general layout of supervision, generally realizes the particularly edible agricultural product quality of agricultural products in China
It is safe and reliable.
At present, the agricultural product quality testing agency of China generally includes inspection centers at different levels, place of production measuring station and wholesale city
Field measuring station.The sample mode of inspection centers at different levels, place of production measuring station and wholesale market measuring station, is united at present in China
One is single using papery sampling, makes a report on sampling Dan Houzai at the scene and the sample for extracting is detected, and testing result is filled up to
In paper list.Then, testing result is manually judged according still further to the limitation of each detection project defined, and will be artificial
The result of judgement is filled in.In this process, the subjective factorss that there is people cause the testing result filled in inaccurate, or far
It is remote to deviate correct result.Further, testing result being filled in using paper list can cause sizable workload.
The content of the invention
It is an object of the invention to provide in a kind of agricultural product quality and safety Risk Monitoring information system sample passes judgement
Method and device.Wherein, methods described technical problem to be solved is：How the accuracy that to sample judge is improved, and
Avoid because using the workload caused by paper list.
To achieve these goals, during the present invention provides a kind of agricultural product quality and safety Risk Monitoring information system, sample is closed
The decision method of lattice.Methods described includes：
Receive detection target sample title each target detection project corresponding with the target sample title and with institute
State the corresponding each testing result of each target detection project；
Searched and the mesh according to corresponding relation of the sample ID being pre-configured with detection project and MRL
Mark sample ID and the corresponding each MRL of each target detection project；
Each testing result is compared with each MRL respectively, comparative result is obtained；
Judging that each testing result is respectively less than or equal to each MRL according to the comparative result
In the case of, then target sample is qualified.
Alternatively, methods described also includes：
Each agricultural products are carried out into classification and coding and corresponding each detection project is entered respectively with each agricultural products
Row classification and coding, obtains the corresponding relation of the sample ID and each detection project；
MRL corresponding with each detection project is obtained respectively according to default criterion, so as to obtain
The sample ID being pre-configured with and detection project and the corresponding relation of MRL.
Alternatively, it is described that each testing result is compared with each MRL respectively, compared
As a result, including：
Single testing result is compared with corresponding MRL, the first comparative result is obtained；Or
Multiple testing results are added, total testing result is obtained, and by total testing result with it is corresponding
MRL is compared, and obtains the second comparative result.
Alternatively, methods described also includes：
In the case where the single testing result is less than or equal to the corresponding MRL, then with the inspection
Survey the corresponding detection project of result qualified；
In the case where the single testing result is more than the corresponding MRL, then with the testing result
Corresponding detection project is unqualified；Or
It is in the case where total testing result is less than or equal to the corresponding MRL, then many with described
The corresponding detection project of individual testing result is qualified；
In the case where total testing result is more than the corresponding MRL, then with the plurality of detection
As a result corresponding detection project is unqualified.
Alternatively, methods described also includes：
In corresponding relation of the sample ID being pre-configured with detection project and MRL it is not provided with referring to
In the case of the MRL of fixed detection project, then the corresponding testing result of the detection project specified is not carried out
Relatively；
In the case where not detecting to target detection project, then the target detection project is not compared.
Correspondingly, the present invention also provides a kind of judgement of sample passes in agricultural product quality and safety Risk Monitoring information system
Device.Described device includes：
Receiving unit, each target inspection corresponding with the target sample title of the target sample title for receiving detection
Survey project and each testing result corresponding with each target detection project；
Searching unit, for according to the sample ID being pre-configured with and detection project and the corresponding relation of MRL
Search each MRL corresponding with the target sample title and each target detection project；
Comparing unit, for each testing result is compared with each MRL respectively, is compared
Relatively result；
Judging unit, for judge that each testing result is respectively less than or equal to according to the comparative result described each
In the case of MRL, then target sample is qualified.
Alternatively, described device also includes：
Sorting code number unit, for each agricultural products are carried out classification and coding and right respectively with each agricultural products
The each detection project answered carries out classification and coding, obtains the corresponding relation of the sample ID and each detection project；
Acquiring unit, for obtaining maximum residual corresponding with each detection project respectively according to default criterion
Limitation, so as to obtain the sample ID being pre-configured with detection project and the corresponding relation of MRL.
Alternatively, the comparing unit, specifically for：
Single testing result is compared with corresponding MRL, the first comparative result is obtained；Or
Multiple testing results are added, total testing result is obtained, and by total testing result with it is corresponding
MRL is compared, and obtains the second comparative result.
Alternatively, the comparing unit, is additionally operable to：
In the case where the single testing result is less than or equal to the corresponding MRL, then with the inspection
Survey the corresponding detection project of result qualified；
In the case where the single testing result is more than the corresponding MRL, then with the testing result
Corresponding detection project is unqualified；Or
It is in the case where total testing result is less than or equal to the corresponding MRL, then many with described
The corresponding detection project of individual testing result is qualified；
In the case where total testing result is more than the corresponding MRL, then with the plurality of detection
As a result corresponding detection project is unqualified.
Alternatively, the comparing unit, is additionally operable to：
In corresponding relation of the sample ID being pre-configured with detection project and MRL it is not provided with referring to
In the case of the MRL of fixed detection project, then the corresponding testing result of the detection project specified is not carried out
Relatively；
In the case where not detecting to target detection project, then the target detection project is not compared.
As shown from the above technical solution, the target sample title for receiving detection is corresponding with the target sample title each
Target detection project and each testing result corresponding with each target detection project, then, according to the sample being pre-configured with
Title is searched corresponding with target sample title and each target detection project with the corresponding relation of detection project and MRL
Each MRL, and each testing result is compared with each MRL respectively, is compared
As a result, in the case where judging that according to comparative result each testing result is respectively less than or equal to each MRL, target sample
Product are qualified, not only increase the accuracy judged to sample, and also avoid because using the workload caused by paper list.
Description of the drawings
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
Accompanying drawing to be used needed for having technology description is briefly described.It should be evident that drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these figures.
Fig. 1 is that sample passes are sentenced in the agricultural product quality and safety Risk Monitoring information system that one embodiment of the invention is provided
The flow chart for determining method；
Fig. 2 is that sample passes are sentenced in the agricultural product quality and safety Risk Monitoring information system that one embodiment of the invention is provided
Determine the structural representation of device.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than the embodiment of whole.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
Fig. 1 is that sample passes are sentenced in the agricultural product quality and safety Risk Monitoring information system that one embodiment of the invention is provided
The flow chart for determining method.As shown in figure 1, in the agricultural product quality and safety Risk Monitoring information system of one embodiment of the invention offer
The decision method of sample passes includes：
In step S101, target sample title each target inspection corresponding with the target sample title of detection is received
Survey project and each testing result corresponding with each target detection project.
For example, when sample ID is Ctenopharyngodon idellus, detection project corresponding with Ctenopharyngodon idellus includes chloromycetin, coloured malachite
Green, leucomalachite green, Furaxone metabolite, Furacilin metabolite, AMOZ, Cistofuran metabolite,
Sulfathiazole, sulfadiazine, methylene sulfonamide etc., the unit of testing result corresponding with each detection project is micrograms per millilitre.
Then, in step s 102, according to the right of the sample ID being pre-configured with and detection project and MRL
Lookup each MRL corresponding with the target sample title and each target detection project should be related to.
Specifically, methods described also includes：By each agricultural products carry out classification and coding and with each agricultural products
Corresponding each detection project carries out classification and coding respectively, obtains sample ID pass corresponding with each detection project
System；MRL corresponding with each detection project is obtained respectively according to default criterion, so as to obtain in advance
The sample ID of configuration and detection project and the corresponding relation of MRL.
387 kinds of pesticide, 3650 MRLs in food are defined in GB GB2763-2014, wherein specifying vegetable
The MRL of middle solanaceous vegetables is 0.05mg/kg, is not segmented again, but will often be refine in monitoring
Concrete certain vegetable, needs to do some some conversions suitable for this platform for this.
In " monitoring essential factor management ", each agricultural products to be monitored are classified and are encoded, such as vegetable
APV000, one type are solanaceous vegetables APV01Y, are sub-divided into Fructus Lycopersici esculenti APV01Z, Fructus Capsici APV020, Fructus Capsici APV021, eggplant
Sub- APV022, Calyx seu fructus physaliss APV023, solanaceous vegetables other APV024；Classification and coding, such as pesticide residues are also carried out to detection project
001, wherein Bayer 71628 01-01, specify that its MRL in solanaceous vegetables is 0.05mg/kg in correspondence GB,
Coding stands solanaceous vegetables and its subdivision item are used in systems, and their Bayer 71628 MRL is given
0.05mg/kg, is stored in this platform database, such as following table：
| Project | Classification | Classification 1 | Title | MRL |
| 01-01 | APV000 | APV01Y | APV01Z | 0.05 |
| 01-01 | APV000 | APV01Y | APV020 | 0.05 |
| 01-01 | APV000 | APV01Y | APV021 | 0.05 |
| 01-01 | APV000 | APV01Y | APV022 | 0.05 |
| 01-01 | APV000 | APV01Y | APV023 | 0.05 |
| 01-01 | APV000 | APV01Y | APV024 | 0.05 |
All agricultural product to be detected and corresponding detection project do this process, ultimately form one with project as horizontal seat
Mark, the two-dimensional table of entitled vertical coordinate wherein filling with corresponding MRL (MRL) value, then are pressed coding rule
Chinese character output (following table is the part in criterion) in " monitoring model configuration " is converted into then, as suitable for this platform
Predicting relation table, for the judgement of testing result, be that the whole nation is sought unity of action.
Wherein, the corresponding relation of the sample ID being pre-configured with and detection project and MRL can be with data base's
Form is embodied in the form of data form, the default criterion include GB2763-2014 and《The Ministry of Agriculture is public
Accuse》No. 235.
And then, in step s 103, each testing result is compared with each MRL respectively,
Obtain comparative result.
Specifically, the step includes：Single testing result is compared with corresponding MRL, first is obtained
Comparative result；Or multiple testing results are added, obtain total testing result, and by total testing result with it is corresponding
MRL be compared, obtain the second comparative result.
In an embodiment of the present invention, the judgement of Ctenopharyngodon idellus Malachite Green is coloured malachite green oxalate and leucomalachite green
Total amount≤1.0 μ g/kg are as qualified；The judgement of Nitrofuran metatolites is with Furaxone metabolite (AOZ), nitrofural
Metabolite (SEM), AMOZ (AMOZ) and Cistofuran metabolite (AHD) be each≤and 1.0 μ g/kg are as qualified.
More specifically, methods described also includes：The corresponding maximum is less than or equal in the single testing result
In the case of residue limits, then detection project corresponding with the testing result is qualified；It is more than institute in the single testing result
In the case of stating corresponding MRL, then detection project corresponding with the testing result is unqualified；Or described total
Testing result less than or equal in the case of the corresponding MRL, then it is corresponding with the plurality of testing result
Detection project is qualified；It is in the case where total testing result is more than the corresponding MRL, then many with described
The corresponding detection project of individual testing result is unqualified.
Preferably, methods described also includes：In the sample ID being pre-configured with and detection project and maximum residue limit
In the case of the MRL of detection project specified is not provided with the corresponding relation of amount, then not to the detection specified
The corresponding testing result of project is compared；In the case where not detecting to target detection project, then not to the mesh
Mark detection project is compared.
Finally, in step S104, judging that each testing result is respectively less than or equal to according to the comparative result
In the case of each MRL, then target sample is qualified.
The present embodiment is by receiving the target sample title each target detection corresponding with the target sample title for detecting
Project and each testing result corresponding with each target detection project, then, according to the sample ID being pre-configured with and inspection
The corresponding relation of survey project and MRL searches each maximum corresponding with target sample title and each target detection project
Residue limits, and each testing result is compared with each MRL respectively, comparative result is obtained, in root
In the case of judging that each testing result is respectively less than or equal to each MRL according to comparative result, then judge that target sample is closed
Lattice, not only increase the accuracy judged to sample, and also avoid because using the workload caused by paper list.
For embodiment of the method, in order to be briefly described, therefore which is all expressed as a series of combination of actions, but this area
Technical staff should know that the embodiment of the present invention is not limited by described sequence of movement, because according to present invention enforcement
Example, some steps can adopt other orders or while carry out.Secondly, those skilled in the art should also know, description
Described in embodiment belong to preferred embodiment, necessary to the involved action not necessarily embodiment of the present invention.
Fig. 2 is that sample passes are sentenced in the agricultural product quality and safety Risk Monitoring information system that one embodiment of the invention is provided
Determine the structural representation of device.As shown in Fig. 2 the agricultural product quality and safety Risk Monitoring information system that one embodiment of the invention is provided
In system, the decision maker of sample passes includes：
Receiving unit 203, for receiving target sample title each target corresponding with the target sample title of detection
Detection project and each testing result corresponding with each target detection project；
Searching unit 204, for according to the corresponding of the sample ID that is pre-configured with and detection project and MRL
Relation searches each MRL corresponding with the target sample title and each target detection project；
Comparing unit 205, for each testing result is compared with each MRL respectively, obtains
Comparative result；
Judging unit 206, for judging that each testing result is respectively less than or equal to institute according to the comparative result
In the case of stating each MRL, then target sample is qualified.
In an optional embodiment of the invention, described device also includes：
Sorting code number unit 201, for each agricultural products being carried out classification and coding and being divided with each agricultural products
Not corresponding each detection project carries out classification and coding, obtains the corresponding relation of the sample ID and each detection project；
Acquiring unit 202, for obtaining maximum corresponding with each detection project respectively according to default criterion
Residue limits, so as to obtain the sample ID being pre-configured with detection project and the corresponding relation of MRL.
In an optional embodiment of the invention, the comparing unit 205, specifically for：
Single testing result is compared with corresponding MRL, the first comparative result is obtained；Or
Multiple testing results are added, total testing result is obtained, and by total testing result with it is corresponding
MRL is compared, and obtains the second comparative result.
In an optional embodiment of the invention, the comparing unit 205 is additionally operable to：
In the case where the single testing result is less than or equal to the corresponding MRL, then with the inspection
Survey the corresponding detection project of result qualified；
In the case where the single testing result is more than the corresponding MRL, then with the testing result
Corresponding detection project is unqualified；Or
It is in the case where total testing result is less than or equal to the corresponding MRL, then many with described
The corresponding detection project of individual testing result is qualified；
In the case where total testing result is more than the corresponding MRL, then with the plurality of detection
As a result corresponding detection project is unqualified.
In an optional embodiment of the invention, the comparing unit 205 is additionally operable to：
In corresponding relation of the sample ID being pre-configured with detection project and MRL it is not provided with referring to
In the case of the MRL of fixed detection project, then the corresponding testing result of the detection project specified is not carried out
Relatively；In the case where not detecting to target detection project, then the target detection project is not compared.
In the agricultural product quality and safety Risk Monitoring information system provided for one embodiment of the invention, sample passes sentences
The agricultural product quality and safety Risk Monitoring information system that the detail further related in determining device is provided in one embodiment of the invention
It is described in detail in the decision method of sample passes in system, will not be described here.
It should be noted that in all parts of the system of the present invention, according to its function to be realized to therein
Part has carried out logical partitioning, but, the present invention is not only restricted to this, as needed all parts can be repartitioned or
Person combines, and for example, can be single part by some unit constructions, or can be further broken into more some parts
Subassembly.
The present invention all parts embodiment can be realized with hardware, or with one or more processor operation
Software module realize, or with combinations thereof realize.It will be understood by those of skill in the art that can use in practice
Microprocessor or digital signal processor (DSP) are realizing some or all portions in system according to embodiments of the present invention
The some or all functions of part.The present invention is also implemented as performing a part for method as described herein or complete
The equipment or program of device (for example, computer program and computer program) in portion.Such program for realizing the present invention
Can store on a computer-readable medium, or there can be the form of one or more signal.Such signal can be with
Download from internet website and obtain, or provide on carrier signal, or provided with any other form.
It should be noted that above-described embodiment the present invention will be described rather than limits the invention, and ability
Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference markss between bracket should not be configured to limitations on claims.Word "comprising" is not excluded the presence of not
Element listed in the claims or step.Word "a" or "an" before element does not exclude the presence of multiple such
Element.The present invention can come real by means of the hardware for including some different elements and by means of properly programmed computer
It is existing.If in the unit claim for listing equipment for drying, several in these devices can be by same hardware branch
To embody.The use of word first, second, and third does not indicate that any order.These words can be explained and be run after fame
Claim.
Embodiment of above is only suitable to illustrate of the invention, and not limitation of the present invention, about the common of technical field
Technical staff, without departing from the spirit and scope of the present invention, can also make a variety of changes and modification, therefore all
The technical scheme of equivalent falls within scope of the invention, and the scope of patent protection of the present invention should be defined by the claims.
Claims (10)
1. in a kind of agricultural product quality and safety Risk Monitoring information system sample passes decision method, it is characterised in that it is described
Method includes：
Receive target sample title each target detection project corresponding with the target sample title of detection and each with described
The corresponding each testing result of target detection project；
Searched and the target sample according to corresponding relation of the sample ID being pre-configured with detection project and MRL
The name of an article claims and the corresponding each MRL of each target detection project；
Each testing result is compared with each MRL respectively, comparative result is obtained；
Judge that each testing result is respectively less than or equal to the situation of each MRL according to the comparative result
Under, then target sample is qualified.
2. in agricultural product quality and safety Risk Monitoring information system according to claim 1 sample passes decision method,
Characterized in that, methods described also includes：
Each agricultural products are carried out into classification and coding and corresponding each detection project is carried out point respectively with each agricultural products
Class and coding, obtain the corresponding relation of the sample ID and each detection project；
MRL corresponding with each detection project is obtained respectively according to default criterion, so as to obtain in advance
The sample ID of configuration and detection project and the corresponding relation of MRL.
3. in agricultural product quality and safety Risk Monitoring information system according to claim 1 sample passes decision method,
Characterized in that, described be compared with each MRL respectively by each testing result, comparative result is obtained,
Including：
Single testing result is compared with corresponding MRL, the first comparative result is obtained；Or
Multiple testing results are added, total testing result is obtained, and by total testing result and corresponding maximum
Residue limits are compared, and obtain the second comparative result.
4. in agricultural product quality and safety Risk Monitoring information system according to claim 3 sample passes decision method,
Characterized in that, methods described also includes：
In the case where the single testing result is less than or equal to the corresponding MRL, then with the detection knot
Really corresponding detection project is qualified；
It is in the case where the single testing result is more than the corresponding MRL, then corresponding with the testing result
Detection project it is unqualified；Or
In the case where total testing result is less than or equal to the corresponding MRL, then with the plurality of inspection
Survey the corresponding detection project of result qualified；
In the case where total testing result is more than the corresponding MRL, then with the plurality of testing result
Corresponding detection project is unqualified.
5. in agricultural product quality and safety Risk Monitoring information system according to claim 1 sample passes decision method,
Characterized in that, methods described also includes：
It is not provided with what is specified in corresponding relation of the sample ID being pre-configured with detection project and MRL
In the case of the MRL of detection project, then the corresponding testing result of the detection project specified is not compared
Compared with；
In the case where not detecting to target detection project, then the target detection project is not compared.
6. in a kind of agricultural product quality and safety Risk Monitoring information system sample passes decision maker, it is characterised in that it is described
Device includes：
Receiving unit, for receiving target sample title each target detection item corresponding with the target sample title of detection
Mesh and each testing result corresponding with each target detection project；
Searching unit, searches for the corresponding relation according to the sample ID being pre-configured with detection project and MRL
Each MRL corresponding with the target sample title and each target detection project；
Comparing unit, for each testing result is compared with each MRL respectively, obtains comparing knot
Really；
Judging unit, for judging that each testing result is respectively less than or equal to each maximum according to the comparative result
In the case of residue limits, then target sample is qualified.
7. in agricultural product quality and safety Risk Monitoring information system according to claim 6 sample passes decision maker,
Characterized in that, described device also includes：
Sorting code number unit, for each agricultural products are carried out classification and coding and corresponding with each agricultural products difference
Each detection project carries out classification and coding, obtains the corresponding relation of the sample ID and each detection project；
Acquiring unit, for obtaining maximum residue limit corresponding with each detection project respectively according to default criterion
Amount, so as to obtain the sample ID being pre-configured with detection project and the corresponding relation of MRL.
8. in agricultural product quality and safety Risk Monitoring information system according to claim 6 sample passes decision maker,
Characterized in that, the comparing unit, specifically for：
Single testing result is compared with corresponding MRL, the first comparative result is obtained；Or
Multiple testing results are added, total testing result is obtained, and by total testing result and corresponding maximum
Residue limits are compared, and obtain the second comparative result.
9. in agricultural product quality and safety Risk Monitoring information system according to claim 8 sample passes decision maker,
Characterized in that, the comparing unit, is additionally operable to：
In the case where the single testing result is less than or equal to the corresponding MRL, then with the detection knot
Really corresponding detection project is qualified；
It is in the case where the single testing result is more than the corresponding MRL, then corresponding with the testing result
Detection project it is unqualified；Or
In the case where total testing result is less than or equal to the corresponding MRL, then with the plurality of inspection
Survey the corresponding detection project of result qualified；
In the case where total testing result is more than the corresponding MRL, then with the plurality of testing result
Corresponding detection project is unqualified.
10. in agricultural product quality and safety Risk Monitoring information system according to claim 6 sample passes decision maker,
Characterized in that, the comparing unit, is additionally operable to：
It is not provided with what is specified in corresponding relation of the sample ID being pre-configured with detection project and MRL
In the case of the MRL of detection project, then the corresponding testing result of the detection project specified is not compared
Compared with；
In the case where not detecting to target detection project, then the target detection project is not compared.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610949585.0A CN106529784A (en) | 2016-10-26 | 2016-10-26 | Method and device for judging sample qualification in risk monitoring information system |
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| CN201610949585.0A CN106529784A (en) | 2016-10-26 | 2016-10-26 | Method and device for judging sample qualification in risk monitoring information system |
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| CN106529784A true CN106529784A (en) | 2017-03-22 |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109377077A (en) * | 2018-11-09 | 2019-02-22 | 贵州希望泥腿信息技术有限公司 | A kind of agricultural product quality and safety evaluation method |
| CN109767243A (en) * | 2018-12-24 | 2019-05-17 | 北京新盟风控科技有限公司 | A kind of agricultural product quality and safety quality certification management method and electronic equipment |
| CN113358781A (en) * | 2021-06-03 | 2021-09-07 | 广东省农业科学院植物保护研究所 | Dinotefuran and metabolite residue detection method thereof |
| CN113762764A (en) * | 2021-09-02 | 2021-12-07 | 南京大学 | Automatic grading and early warning system and method for safety risk of imported food |
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| US20150147296A1 (en) * | 2011-09-08 | 2015-05-28 | László Manczinger | Copper resistant, fengycin-producing bacillus mojavensis strain for controlling vegetable pathogens, its use and compositions containing it |
| 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 |
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| CN1858784A (en) * | 2006-06-08 | 2006-11-08 | 上海农业信息有限公司 | Safety quick monitoring system and its method for agriculture product quality based on network |
| US20150147296A1 (en) * | 2011-09-08 | 2015-05-28 | László Manczinger | Copper resistant, fengycin-producing bacillus mojavensis strain for controlling vegetable pathogens, its use and compositions containing it |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109377077A (en) * | 2018-11-09 | 2019-02-22 | 贵州希望泥腿信息技术有限公司 | A kind of agricultural product quality and safety evaluation method |
| CN109767243A (en) * | 2018-12-24 | 2019-05-17 | 北京新盟风控科技有限公司 | A kind of agricultural product quality and safety quality certification management method and electronic equipment |
| CN113358781A (en) * | 2021-06-03 | 2021-09-07 | 广东省农业科学院植物保护研究所 | Dinotefuran and metabolite residue detection method thereof |
| CN113762764A (en) * | 2021-09-02 | 2021-12-07 | 南京大学 | Automatic grading and early warning system and method for safety risk of imported food |
| CN113762764B (en) * | 2021-09-02 | 2024-04-12 | 南京大学 | Automatic grading and early warning system and method for imported food safety risks |
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