CN109002979A

CN109002979A - The risks and assumptions sort method and device of agricultural product

Info

Publication number: CN109002979A
Application number: CN201810744935.9A
Authority: CN
Inventors: 许彦阳; 邱静; 陈晨; 李耘; 钱永忠
Original assignee: Institute of Agricultural Quality Standards and Testing Technology for Agro Products of CAAS
Current assignee: Institute of Agricultural Quality Standards and Testing Technology for Agro Products of CAAS
Priority date: 2018-07-09
Filing date: 2018-07-09
Publication date: 2018-12-14

Abstract

This disclosure relates to the risks and assumptions sort method and device of a kind of agricultural product, this method comprises: obtaining the corresponding diet ratio of risks and assumptions, frequency of use, the information of high exposed population group, residue, area, agricultural product；According to risks and assumptions, diet ratio, frequency of use, the information of high exposed population group, residue, obtain risks and assumptions toxicity score value and the score value of toxic effect, the score value of diet ratio, the score value of frequency of use, the score value of high exposed population group, residue score value；According to risks and assumptions toxicity and toxic effect, diet ratio, frequency of use, high exposed population group, residue score value, determine the first value-at-risk；According to the first value-at-risk, risks and assumptions, area or agricultural product are ranked up；Show the result of sequence.The auto-sequencing of risks and assumptions is enabled effectively to embody the risk of residue by the score value of residue separately as one in the first value-at-risk calculation formula according to the risks and assumptions sort method and device of disclosure agricultural product.

Description

The risks and assumptions sort method and device of agricultural product

Technical field

This disclosure relates to the risks and assumptions sort method and device of agricultural product security field more particularly to a kind of agricultural product.

Background technique

Bread is the staff of life, eats with An Weixian.The quality safety of edible agricultural product has caused concerning social development and stabilization The extensive concern of the whole society.It is locked out by being monitored to risks and assumptions such as edible Residual Pesticides in Farm Produce, residues of veterinary drug Prominent risks and assumptions grasp quality safety overall situation, protection consumer health and the important means for promoting industry development.So And due to the limitation of various reasons (cost, technology etc.), it is difficult to be monitored to risks and assumptions whole in agricultural product.Cause This, needs to determine the factor given priority to by the method for risk ranking.However, can be applied in existing risk ranking method The characteristics of in the less of agricultural product, and the factor considered is not comprehensive enough, is more not bound with agricultural product production and consumption.Therefore, it opens Hair establishes effective agricultural product risk factor sort method, and determination gives priority to emphasis, has become promotion agricultural products in China The important content of quality safety development.

Summary of the invention

In view of this, the present disclosure proposes the risks and assumptions sort methods and device of a kind of agricultural product.According to disclosure agriculture The risks and assumptions sort method and device of product can be realized the auto-sequencing of different regions, the different agricultural product risk factors, Lockout issue risks and assumptions outstanding, and by the score value of residue separately as one in the first value-at-risk calculation formula, Clear reflection enables the auto-sequencing of risks and assumptions effectively to embody residual because risks and assumptions remain bring risk class The risk of value.

According to the one side of the disclosure, a kind of risks and assumptions sort method of agricultural product is provided, which comprises

Obtain the corresponding diet ratio of the risks and assumptions, frequency of use, the information of high exposed population group, residue, area, Agricultural product；Wherein, the risks and assumptions are pesticide or veterinary drug, and the information of high exposed population group is may existing for high exposed population group Property；

According to the risks and assumptions, diet ratio, frequency of use, the information of high exposed population group, residue, the wind is obtained The score value and the score value of toxic effect of dangerous factor toxicity, the score value of the diet ratio, the score value of frequency of use, high exposed population group point The score value of value, residue；

According to the score value of the risks and assumptions toxicity and the score value of toxic effect, the score value of the diet ratio, frequency of use Score value, the score value of high exposed population group, residue score value, determine the first value-at-risk；

According to first value-at-risk, the risks and assumptions, area or agricultural product are ranked up；

Show the result of the sequence；

Wherein, first value-at-risk=(A+B) × (C+D+E) × F；

Wherein, A is the score value of the risks and assumptions toxicity, and B is the score value of risks and assumptions toxic effect, and C is corresponding for risks and assumptions Diet ratio score value, D be the corresponding frequency of use of risks and assumptions score value, E be the corresponding high exposed population group of risks and assumptions Score value, F be the corresponding residue of risks and assumptions score value.

In one possible implementation, according to the risks and assumptions, the score value of the risks and assumptions toxic effect is obtained, is wrapped It includes:

According to the risks and assumptions, in conjunction with median lethal dose (LD₅₀) and/or acceptable daily intake (ADI), obtain risk The score value of factor toxic effect.

In one possible implementation, according to first value-at-risk, the risks and assumptions are ranked up, are wrapped It includes:

For each risks and assumptions, corresponding all first value-at-risks of risks and assumptions are obtained；

Calculate second value-at-risk of the mean value of corresponding all first value-at-risks of the risks and assumptions as risks and assumptions；

According to the second value-at-risk of each risks and assumptions, the risks and assumptions are ranked up.

In one possible implementation, described that the area is ranked up according to first value-at-risk, packet It includes:

For each area, corresponding all first value-at-risks in the area are obtained；

Calculate third value-at-risk of the mean value of corresponding all first value-at-risks in the area as this area；

According to the third value-at-risk in each area, the area is ranked up.

In one possible implementation, described that the agricultural product are ranked up according to first value-at-risk, packet It includes:

For each agricultural product, corresponding all first value-at-risks of the agricultural product are obtained；

Calculate fourth value-at-risk of the mean value of corresponding all first value-at-risks of the agricultural product as the agricultural product；

According to the 4th value-at-risk of each agricultural product, the agricultural product are ranked up.

In one possible implementation, the result of the sequence is shown, comprising:

The result of the sequence is shown by way of chart.

In one possible implementation, the corresponding residue of the risks and assumptions is obtained, comprising:

The sample data of the corresponding residue of the risks and assumptions is fitted, the distribution function of residue is formed；

According to the distribution function of the residue, the corresponding residue of the risks and assumptions is obtained.

According to another aspect of the present disclosure, a kind of risks and assumptions collator of agricultural product is provided, described device includes:

First obtains module, for obtaining the risks and assumptions corresponding diet ratios, frequency of use, high exposed population group Information, residue, area, agricultural product；Wherein, the risks and assumptions are pesticide or veterinary drug, and the information of high exposed population group is high sudden and violent Dew crowd there are a possibility that；

Second obtain module, for according to the risks and assumptions, diet ratio, frequency of use, the information of high exposed population group, Residue, obtain the score value of the risks and assumptions toxicity and the score value of toxic effect, the score value of the diet ratio, frequency of use point The score value of value, the score value of high exposed population group, residue；

The first value-at-risk module is determined, for according to the score value of the risks and assumptions toxicity and score value, the meals of toxic effect The score value of food ratio, the score value of frequency of use, the score value of high exposed population group, residue score value, determine the first value-at-risk；

Sorting module is ranked up the risks and assumptions, area or agricultural product according to first value-at-risk；

Display module, for showing the result of the sequence；

Wherein, first value-at-risk=(A+B) × (C+D+E) × F

In one possible implementation, second module is obtained, comprising:

First acquisition unit is used for according to the risks and assumptions, in conjunction with median lethal dose (LD₅₀) and/or allow to take the photograph daily Enter amount (ADI), obtains the score value of risks and assumptions toxic effect.

In one possible implementation, the sorting module, comprising:

Second acquisition unit obtains corresponding all first value-at-risks of risks and assumptions for being directed to each risks and assumptions；

Second value-at-risk computing unit, for calculating the mean value conduct of corresponding all first value-at-risks of the risks and assumptions Second value-at-risk of risks and assumptions；

Sequencing unit is ranked up the risks and assumptions for the second value-at-risk according to each risks and assumptions.

In one possible implementation, the sorting module, comprising:

Third acquiring unit, for obtaining corresponding all first value-at-risks in the area for each area；

Third value-at-risk computing unit, for calculating the mean value of corresponding all first value-at-risks in the area as the ground The third value-at-risk in area；

Second sequencing unit is ranked up the area for the third value-at-risk according to each area.

In one possible implementation, the sorting module, comprising:

4th acquiring unit obtains corresponding all first value-at-risks of the agricultural product for being directed to each agricultural product；

4th value-at-risk computing unit, the mean value for calculating corresponding all first value-at-risks of the agricultural product is used as should 4th value-at-risk of agricultural product；

Third sequencing unit is ranked up the agricultural product for the 4th value-at-risk according to each agricultural product.

In one possible implementation, the display module, comprising:

Display unit, for showing the result of the sequence by way of chart.

In one possible implementation, the first acquisition module includes:

Distribution function forms unit, is fitted for the sample data to the corresponding residue of the risks and assumptions, shape At the distribution function of residue；

It is corresponding residual to obtain the risks and assumptions for the distribution function according to the residue for residue acquiring unit Stay value.

According to another aspect of the present disclosure, a kind of risks and assumptions collator of agricultural product is provided, comprising: processor； Memory for storage processor executable instruction；Wherein, the processor is configured to: the processor is configured to holding Row described instruction is to realize the above method.

According to another aspect of the present disclosure, a kind of non-volatile computer readable storage medium storing program for executing is provided, is stored thereon with Computer program instructions, wherein the computer program instructions realize the above method when being executed by processor.

According to the score value of the risks and assumptions toxicity and the corresponding diet ratio point of the score value of toxic effect, the risks and assumptions The score value of value, the score value of frequency of use, the score value of high exposed population group, residue calculates the first value-at-risk, according to disclosure agricultural production The risks and assumptions sort method and device of product can be realized the automatic of different regions and different foods (agricultural product) risk factor Sequence locks risk level risks and assumptions outstanding.Also, the determination of the first value-at-risk combines crowd's information and diet letter Breath can more reflect actual conditions so that the factor that the sequence considers is more comprehensive.It is the most key, by point of residue Value is separately as one in the first value-at-risk calculation formula, so that ranking results more can the objective effective wind for embodying residue Danger.

The risks and assumptions sort method and device of disclosure agricultural product are conducive to China's preferential prisons of authorities' selection at different levels Region, product and the parameter of survey are conducive to monitoring and organize and implement unit to monitoring result progress classification analysis, be conducive to benefit Beneficial related side knows the reason of preferential risk of selection factor.

According to below with reference to the accompanying drawings to detailed description of illustrative embodiments, the other feature and aspect of the disclosure will become It is clear.

Detailed description of the invention

Comprising in the description and constituting the attached drawing of part of specification and specification together illustrates the disclosure Exemplary embodiment, feature and aspect, and for explaining the principles of this disclosure.

Fig. 1 shows the flow chart of the risks and assumptions sort method of the agricultural product according to one embodiment of the disclosure.

Fig. 2 shows the schematic diagrames for being used to be arranged the corresponding diet ratio of risks and assumptions according to one embodiment of the disclosure.

Fig. 3 is shown according to one embodiment of the disclosure for the schematic diagram of the corresponding frequency of use of risks and assumptions to be arranged.

Fig. 4 shows showing for the information according to one embodiment of the disclosure for risks and assumptions corresponding high exposed population groups to be arranged It is intended to.

Fig. 5 shows the flow chart of the S14 according to one embodiment of the disclosure.

Fig. 6 shows the flow chart of the S14 according to one embodiment of the disclosure.

Fig. 7 shows the flow chart of the S14 according to one embodiment of the disclosure.

Fig. 8 shows the block diagram of the risks and assumptions collator of the agricultural product according to one embodiment of the disclosure.

Fig. 9 shows the block diagram of the risks and assumptions collator of the agricultural product according to one embodiment of the disclosure.

Figure 10 shows the block diagram of the sorting module 64 according to one embodiment of the disclosure.

Figure 11 shows the block diagram of the risks and assumptions collator of the agricultural product according to one embodiment of the disclosure.

Specific embodiment

Various exemplary embodiments, feature and the aspect of the disclosure are described in detail below with reference to attached drawing.It is identical in attached drawing Appended drawing reference indicate element functionally identical or similar.Although the various aspects of embodiment are shown in the attached drawings, remove It non-specifically points out, it is not necessary to attached drawing drawn to scale.

Dedicated word " exemplary " means " being used as example, embodiment or illustrative " herein.Here as " exemplary " Illustrated any embodiment should not necessarily be construed as preferred or advantageous over other embodiments.

In addition, giving numerous details in specific embodiment below to better illustrate the disclosure. It will be appreciated by those skilled in the art that without certain details, the disclosure equally be can be implemented.In some instances, for Method, means, element and circuit well known to those skilled in the art are not described in detail, in order to highlight the purport of the disclosure.

Fig. 1 shows the flow chart of the risks and assumptions sort method of the agricultural product according to one embodiment of the disclosure.Such as Fig. 1 institute Show, this method may include:

Step S11 obtains the corresponding diet ratio of the risks and assumptions, frequency of use, the information of high exposed population group, residual Value, area, agricultural product.

Wherein, the risks and assumptions can be pesticide or veterinary drug, and the information of the high exposed population group can be high exposure people Group there are a possibility that.The diet ratio can refer to that the food of pesticide or residue of veterinary drug accounts for the ratio of total diet, the diet Ratio can be obtained according to relevant dietary guidelines；The frequency of use can refer to food in respective cycle (for example, animals and plants Growth cycle) interior pesticide or veterinary drug frequency of use, the frequency of use can determine according in factual survey；The high exposed population group It can refer to because diet structure causes the crowd of the risks and assumptions exposure, such as, it include that a large amount of apples cause in diet The crowd of the acephatemet exposure, which is then the corresponding high exposed population group of acephatemet, since acephatemet has high exposure people Group, then the corresponding high exposed population group of acephatemet there are a possibility that it is relatively high.The corresponding residue of the risks and assumptions can be Residual quantity of the risks and assumptions on animals and plants.

Below by taking pesticide as an example, user want the risks and assumptions of agricultural product are ranked up when, can by it is multiple area, The detection data of the kinds of risks factor of a variety of agricultural product uploads in the webpage or APP of terminal device, and the terminal device can To be mobile phone, PDA, computer etc..

In one example, the detection data may include the risks and assumptions, different regions, different agricultural product, with And the corresponding relationship of diet ratio, frequency of use, the information of high exposed population group, residue, it is as shown in table 1 below:

Table 1

Terminal device can directly acquire the parameters in step S11 according to the detection data (table 1).

In another example, the detection data may include different regions, different agricultural product, different risks and assumptions with And residue, it can be as shown in table 2 below:

Table 2

As shown in table 2, every a line of detection data may include the residual of sample number into spectrum, agricultural product, area and risks and assumptions The corresponding relationship of value is stayed, the residue of the risks and assumptions of every a line can be one or more.

Terminal device can obtain different risks and assumptions, different regions, different agricultural product from the detection data in table 2 Corresponding relationship, and corresponding ID is arranged, generates one treated detection data, and every a line of treated the detection data can To include ID, agricultural product, area, a kind of risks and assumptions, residue, by taking the detection data of table 2 as an example, detection data that treated It can be for shown in table 3:

Table 3

ID	Agricultural product	Area	Risks and assumptions	Residue
					0	Longan	Beijing	Acephatemet	1
1	Longan	Beijing	Pendimethalin	1
					2	Longan	Beijing	Lambda-cyhalothrin	1
3	Apple	Beijing	Acephatemet	2
					4	Apple	Beijing	Pendimethalin	1
5	Apple	Beijing	Lambda-cyhalothrin	1
					6	Watermelon	Hebei province	Pendimethalin	1
7	Watermelon	Hebei province	Lambda-cyhalothrin	1
					8	Watermelon	Hebei province	Acephatemet	0

The corresponding diet ratio of the risks and assumptions every a line in treated detection data can be arranged in terminal device Example, frequency of use, the information of high exposed population group, for example, for every a line in treated the detection data of table 3, Ke Yigen According to the statistics of the growth cycle statistics and high exposed population group of dietary guidelines, agricultural product (longan, apple and watermelon), every a line is set Corresponding diet ratio, frequency of use, high exposed population group there are a possibility that.Terminal device can be according to the setting and processing Detection data afterwards generates the table 4, and the table 4 can be stored and be shown.

Table 4

Optionally, terminal device can also be provided for every a line in treated the detection data of table 3 for user The corresponding diet ratio of risks and assumptions, frequency of use, the information of high exposed population group described in every a line of selection, as in Figure 2-4. After user selects the diet ratio, frequency of use, the information of high exposed population group to every a line in table 3, terminal device can With table 3, to generate the table 4 according to the user's choice.

Terminal device can be according to the parameters in the 4 obtaining step S11 of table.

Optionally, in one possible implementation, the sample data of the residue can be fitted, is formed The distribution function of residue, the distribution function can be logarithm normal distribution probability density function etc., can be according to described residual Stay the distribution function of value, the residue in obtaining step S11.Wherein, the sample data of the residue can refer to certain The sample data of the residue of one agricultural product and a certain risks and assumptions.

In one example, by taking the sample data of the residue of agricultural product B and risks and assumptions C is fitted as an example, the agricultural production Just too distribution probability density function can be with for the logarithm of the residue of product B and risks and assumptions C are as follows:

Wherein, x is residue；μ is agricultural product B With the mean value of the residue sample data of risks and assumptions C；σ²For the side of the residue sample data of agricultural product B and risks and assumptions C Difference；Var (X) is the variance for the probability density function that the logarithm is just being distributed very much；E (X) is the probability density that the logarithm is just being distributed very much The desired value of function.

Residue of the terminal device if necessary to obtain agricultural product B and risks and assumptions C, can be according to agricultural product B and risk The probability density function f (x) that the residue of factor C is just being distributed very much selects any f (x) as agricultural product B and risks and assumptions C Residue, for example, the x between two tail portions of the probability density function that residue is just being distributed very much can be divided into 100 parts, It can choose residue of the corresponding f (x) of any percentile P as agricultural product B and risks and assumptions C, for example selection P90 is corresponded to Residue of the f (x) as agricultural product B and risks and assumptions C.

It can use matlab software etc., according to the residue sample data of a certain agricultural product and a certain risks and assumptions, meter Calculate the μ and σ of residue sample data², to obtain just being distributed very much for the residues of a certain agricultural product and a certain risks and assumptions Probability density function.

The distribution function that residue is formed by being fitted to residue sample data is obtained according to the distribution function of residue Residue more meets the requirement of probability distributive function.

Step S12 is obtained according to the risks and assumptions, diet ratio, frequency of use, the information of high exposed population group, residue Take the score value of the risks and assumptions toxicity and the score value of toxic effect, the score value of the diet ratio, the score value of frequency of use, high exposure The score value of the score value of crowd, residue.

In one possible implementation, can save in the database (such as oracle database) in advance risk because Corresponding relationship, the risks and assumptions of the score value of sub- genotoxic potential degree and the risks and assumptions toxicity cause dosage and the institute of side effect State the corresponding relationship of the score value of risks and assumptions toxic effect, the corresponding relationship of the score value of residue and the residue, diet ratio with The corresponding relationship of the score value of the diet ratio, the corresponding relationship of the score value of frequency of use and frequency of use, high exposed population group The corresponding relationship of the score value of information and high exposed population group.Terminal device can toxicity and toxic effect according to risks and assumptions, the meals Food ratio, frequency of use, the information of high exposed population group, residue obtain the risks and assumptions toxicity by searching for database Score value and the score value of toxic effect, the score value of the diet ratio, the score value of frequency of use, the score value of high exposed population group, residue Score value.

In one example, terminal device can store the genotoxic potential degree and poison of risks and assumptions in the database in advance The corresponding relationship of the score value of property, for example, can be stored by way of table, it can be as shown in table 5.Wherein, the corresponding relationship In, the score value of toxicity can be arranged according to the genotoxic potential degree of risks and assumptions toxicity, for example, the genotoxic potential journey of risks and assumptions Degree is higher, and the score value of corresponding toxicity is higher.

Table 5

For each risks and assumptions, terminal device can obtain the wind according to availability risk factor toxicity grading standard The genotoxic potential degree of the dangerous factor, according to the genotoxic potential degree of risks and assumptions, look-up table 5 obtains the risks and assumptions toxicity Score value.

In one example, terminal device can store the agent that the risks and assumptions cause side effect in the database in advance The corresponding relationship of amount and the score value of toxic effect, for example, can be stored by way of table in the database, it can be as shown in table 6. Wherein, in the corresponding relationship, the score value of toxic effect can be arranged based on acceptable daily intake (ADI μ g/kg bw/day), example Such as, risks and assumptions cause the dosage of side effect lower, and the score value of corresponding toxic effect is higher.

Table 6

Table 6 is based on ADI (μ g/kg bw/day)	The score value of toxic effect
		>10	0
>0.10–10	1
		>0.001–0.10	2
<0.001	3

For each risks and assumptions, terminal device can be obtained according to the acceptable daily intake (ADI) of the risks and assumptions It takes the risks and assumptions to cause the dosage of side effect, the dosage of side effect is caused according to risks and assumptions, look-up table 6 obtains the wind The score value of dangerous factor toxicity.

In one example, terminal device can store diet proportion threshold value range and diet ratio in the database in advance The corresponding relationship of score value, such as store in table form in the database, it can be as shown in table 7.Wherein, in the corresponding relationship In, it can be set that diet ratio is higher, and score value is higher.

Table 7

Diet proportion threshold value range	The score value of diet ratio
		< 2.5%	0
2.5-< 20%	1
		20%-< 50%	2
50% -100%	3

Terminal device can obtain the corresponding diet ratio of the risks and assumptions according to the diet ratio of acquisition, look-up table 7 Score value.

In one example, terminal device can store the corresponding frequency of use threshold value of risks and assumptions in the database in advance The corresponding relationship of the score value of range and frequency of use, such as store in table form in the database, it can be as shown in table 8. Wherein, in the corresponding relationship, frequency of use is higher, and the score value of frequency of use is higher.For animal, frequency of use can be with The number of the application risk factor in animal 1 year, for example, in 1 year the application risk factor number/365；Plant is come It says, frequency of use can be the frequency of the application risk factor in plant growing cycle, for example, the application risk factor in growth cycle Number/growth cycle.

Table 8

Frequency of use threshold range	The score value of frequency of use
		< 2.5%	0
2.5-< 20%	1
		20%-< 50%	2
50% -100%	3

Terminal device can obtain the score value of frequency of use according to the frequency of use of acquisition, look-up table 8.

In one example, terminal device can store information (the height exposure people of high exposed population group in the database in advance Group there are a possibility that) corresponding relationship with the score value of high exposed population group, such as store in table form in the database, can With as shown in table 9.Wherein, in the corresponding relationship, high exposed population group there are a possibility that it is higher, the score value of high exposed population group is got over It is high.

Table 9

The information (high exposed population group there are a possibility that) of high exposed population group	The score value of high exposed population group
		Evidence shows no high exposed population group	0
It is less likely to be present high exposed population group	1
		There may be high exposed population groups	2
There is no enough information sum numbers it is judged that with the presence or absence of high exposed population group	3

Terminal device can obtain the score value of high exposed population group according to the information of the high exposed population group of acquisition, look-up table 9.

In one example, terminal device can store point of residue threshold range and residue in the database in advance The corresponding relationship of value, such as store in table form in the database, it can be as shown in table 10.Wherein, in the corresponding relationship In, the score value of residue can be set according to residue compared with maximum residue limit MRL.

Table 10

Terminal device can be according to the corresponding residue of risks and assumptions of acquisition and the maximum residue limit of risks and assumptions MRL, look-up table 10 obtain the score value of the corresponding residue of risks and assumptions.Wherein, the maximum residue limit of different risks and assumptions MRL can be different, for example, the MRL of risks and assumptions can be obtained according to the MRL in national food safety standard.

By taking table 4 as an example, the score value and the score value of toxic effect of the risks and assumptions toxicity that terminal device obtains, the risk because The corresponding diet ratio score value of son, the score value of frequency of use, the score value of high exposed population group, residue score value can be such as 11 institute of table Show.

Table 11

It is above only score value, the corresponding meals of the risks and assumptions of the score value and toxic effect for obtaining the risks and assumptions toxicity Food ratio score value, the score value of frequency of use, the score value of high exposed population group, residue score value example, the disclosure do not make this It limits.

Step S13, according to the score value of the risks and assumptions toxicity and the score value of toxic effect, the corresponding diet of the risks and assumptions Ratio score value, the score value of frequency of use, the score value of high exposed population group, residue score value, determine the first value-at-risk.

First value-at-risk=(A+B) × (C+D+E) × F；

By taking table 11 as an example, terminal device can determine corresponding first value-at-risk of every a line in table 11, with 11 second row of table (ID=1) for, the first value-at-risk of calculating is (0+2) × (0+1+2) × 1=6.Wherein, first value-at-risk of described every a line It calculates can be and parallel carry out.

Optionally, the calculating of the first value-at-risk is also possible to cloud computing, improves calculating speed.Terminal device can receive cloud It is calculating as a result, determining first value-at-risk.

Step S14 is ranked up the risks and assumptions, area or agricultural product according to first value-at-risk.

By taking table 11 as an example, terminal device can be directed to each risks and assumptions, and it is corresponding that the risks and assumptions are obtained in table 11 The first value-at-risk in maximum first value-at-risk, then can according to the size of maximum first value-at-risk, according to from big To the sequence of small (or from small to large), auto-sequencing is carried out to the risks and assumptions of detection data.

Alternatively, terminal device can be directed to each agricultural product, corresponding first risk of the agricultural product is obtained in table 11 Maximum first value-at-risk in value, then can according to the size of maximum first value-at-risk, according to from big to small (or from It is small to big) sequence, auto-sequencing is carried out to the agricultural product of detection data.

Optionally, terminal device can be according to first value-at-risk, to the different wind in identical area or identical agricultural product The dangerous factor carries out risks and assumptions auto-sequencing, alternatively, can carry out to the different agricultural product of the same risk factor or identical area Agricultural product auto-sequencing, alternatively, auto-sequencing can also be carried out to area, and to the same risk factor or identical agricultural product Different regions are ranked up.The disclosure is not construed as limiting this.

Step S15 shows the result of the sequence；

According to the ranking results in S14, each risks and assumptions and corresponding value-at-risk are shown.

According to the score value of the risks and assumptions toxicity and the score value of toxic effect, the score value of the diet ratio, frequency of use Score value, the score value of high exposed population group, residue score value, calculate the first value-at-risk, according to the risks and assumptions of disclosure agricultural product Sort method, can be realized different regions, different agricultural product risks and assumptions etc. a variety of auto-sequencings, lockout issue is outstanding Risks and assumptions.Also, the determination of the first value-at-risk combines crowd's information and dietary information so that it is described sequence consider because Element is more comprehensive, can more reflect the actual conditions in agricultural product production and consumption.More it is essential that by the score value list of residue Solely as one in the first value-at-risk calculation formula, so that ranking results more can the objective effective risk for embodying residue.

The risks and assumptions sort method of disclosure agricultural product is conducive to the area of China's authorities' selection priority monitorings at different levels Domain, product and parameter are conducive to monitoring and organize and implement unit to monitoring result progress classification analysis, be conducive to interests correlation The reason of knowing the preferential risk of selection factor.

In one possible implementation, the score value of the acquisition risks and assumptions toxic effect in step S12 may include:

Terminal device can be according to median lethal dose LD₅₀(Lethal Dose, 50%) divides the toxic effect of risks and assumptions Grade, and different score values can be set for different brackets, for example, shown in table 12.

Table 12

Based on LD₅₀(μg/kg)	The score value of toxic effect
		Low toxicity > 500	0
Be poisoned 50--500	1
		High poison 5--50	2
Severe toxicity < 5	3

Terminal device can obtain the score value of risks and assumptions toxic effect according to the toxic effect and the toxic effect grade of risks and assumptions.

It should be noted that according to median lethal dose (LD₅₀) obtain risks and assumptions toxic effect score value when, if risk because The toxic effect of son is not present in the median lethal dose, can obtain risks and assumptions toxic effect according to acceptable daily intake (ADI) Score value, specifically may refer to the content of above-mentioned table 6.

Fig. 5 shows the flow chart of the step S14 according to one embodiment of the disclosure.As shown in figure 5, in a kind of possible realization In mode, step S14 is ranked up the risks and assumptions, may include: according to first value-at-risk

Step S141 obtains corresponding all first value-at-risks of risks and assumptions for each risks and assumptions.

Each risks and assumptions can correspond to multiple first value-at-risks, for each risks and assumptions, this available kind Corresponding multiple first value-at-risks of risks and assumptions.For example, Pendimethalin corresponds to 3 the first value-at-risks, for Pendimethalin, Corresponding 3 the first value-at-risks of the available Pendimethalin of terminal device.By taking table 11 as an example, corresponding 3 of Pendimethalin the One value-at-risk: 6,8,8；Acephatemet 3 the first value-at-risks of correspondence: 32,48,0；Lambda-cyhalothrin corresponds to 3 the first value-at-risks: 15、15、20。

Step S142 calculates second value-at-risk of the mean value of first value-at-risk as risks and assumptions.

Terminal device can be directed to each risks and assumptions, can calculate corresponding all first value-at-risks of the risks and assumptions Sum second value-at-risk of the mean value as the risks and assumptions.

By taking table 11 as an example, corresponding second value-at-risk of Pendimethalin: (6+8+8)/3=7.33；Acephatemet corresponding Two value-at-risks: (32+48+0)/3 ≈ 26.67；Corresponding second value-at-risk of lambda-cyhalothrin: (15+15+20)/3 ≈ 16.67.

Step S143 is ranked up the risks and assumptions according to the second value-at-risk of each risks and assumptions.

Terminal device can be ranked up risks and assumptions according to second value-at-risk, for example, according to the second value-at-risk Sequence from high to low, is ranked up risks and assumptions.It is right according to the sequence of the second value-at-risk from high to low by taking table 11 as an example The result that risks and assumptions are ranked up are as follows: acephatemet, lambda-cyhalothrin, Pendimethalin.

Optionally, terminal device can also be ranked up the different risks and assumptions in identical area, for example, being with table 11 Example, is ranked up the different risks and assumptions of Beijing, and the corresponding different risks and assumptions in Beijing include Pendimethalin, methylamine Phosphorus, lambda-cyhalothrin.Wherein, corresponding 2 the first value-at-risks of Pendimethalin: 6,8；Acephatemet corresponds to 2 the first value-at-risks: 32,48；Lambda-cyhalothrin 2 the first value-at-risks of correspondence: 15,15.Terminal device can be to Pendimethalin, acephatemet, chlorine fluorine Two the first value-at-risks of Cyano chrysanthemate carry out mean value computation, obtain the mean value of corresponding first value-at-risk of Pendimethalin: (6+ 8)/2=7；The mean value of corresponding first value-at-risk of acephatemet: (32+48)/2=40；Corresponding first value-at-risk of lambda-cyhalothrin Mean value: (15+15)/2=15.Terminal device can be according to the first value-at-risk of Pendimethalin, acephatemet, lambda-cyhalothrin Mean value sequence from high to low, the different risks and assumptions of Beijing are ranked up are as follows: acephatemet, lambda-cyhalothrin, diformazan Penta happy spirit.

Alternatively, terminal device can also be ranked up the different risks and assumptions of identical agricultural product, specific sequence can be joined According to aforesaid way, details are not described herein.

Fig. 6 shows the flow chart of the step S14 according to one embodiment of the disclosure.As shown in fig. 6, in a kind of possible realization In mode, step S14 is ranked up the area, may include: according to first value-at-risk

Step S144 obtains corresponding all first value-at-risks in area for each area.

Each area can correspond to multiple first value-at-risks, and by taking table 11 as an example, area includes Beijing and Hebei province, north Corresponding first value-at-risk in capital city includes: 32,6,15,48,8,15；Corresponding first value-at-risk in Hebei province includes: 8,20,0.Eventually End equipment can be directed to Beijing and Hebei province, obtain Beijing and corresponding first value-at-risk in Hebei province.

Step S145 calculates third risk of the mean value of corresponding all first value-at-risks in the area as this area Value.

By taking table 11 as an example, terminal device can calculate the corresponding third value-at-risk in Beijing be (32+6+15+48+8+15)/ 6≈20.7；The corresponding third value-at-risk in Hebei province is (8+20+0)/3 ≈ 9.3.

Step S146 is ranked up the area according to the third value-at-risk in each area.

Terminal device can arrange the area according to each sequence of regional third value-at-risk from high to low Sequence, according to the third value-at-risk in each area, is ranked up the area are as follows: Beijing, Hebei province by taking table 11 as an example.

Optionally, terminal device can be ranked up the different regions of the same risk factor according to the first value-at-risk, or Person is ranked up the different regions of identical agricultural product.

Auto-sequencing is carried out by the area to different risks and assumptions, different agricultural product, and to the same risk factor The auto-sequencing of different regions and the different regions to identical agricultural product can be easy locking risk area outstanding.

Fig. 7 shows the flow chart of the step S14 according to one embodiment of the disclosure.As shown in fig. 7, in a kind of possible realization In mode, step S14 is ranked up the agricultural product, may include: according to first value-at-risk

Step S147 obtains corresponding all first value-at-risks of agricultural product for each agricultural product.

Each agricultural product can correspond to one or more first value-at-risks, each available agricultural product of terminal device Corresponding all first value-at-risks.By taking table 11 as an example, the available longan of terminal device, apple and corresponding first risk of watermelon Value is 3, specifically: corresponding all first value-at-risks of longan are 32,6,18；Corresponding all first value-at-risks of apple are 48,8,15；Corresponding all first value-at-risks of watermelon are 8,20,0.

Step S148 calculates fourth wind of the mean value of corresponding all first value-at-risks of the agricultural product as the agricultural product Danger value.

By taking table 11 as an example, it is (32+6+18)/3 ≈ 18.7 that terminal device, which can calculate corresponding 4th value-at-risk of longan,；Apple Corresponding 4th value-at-risk of fruit is (48+8+15)/3 ≈ 23.7；Corresponding 4th value-at-risk of watermelon is (8+20+0)/3 ≈ 9.3.

Step S149 is ranked up the agricultural product according to the 4th value-at-risk of each agricultural product.

Terminal device can according to the sequence of the 4th value-at-risk of each agricultural product from high to low, to the agricultural product into Row sequence.By taking table 11 as an example, the sequence of the longan, apple and watermelon are as follows: apple, longan, watermelon.Optionally, terminal device The different agricultural product in identical area or the same risk factor can be ranked up according to the first value-at-risk.

By the auto-sequencing of the agricultural product to different regions and different risks and assumptions, and to identical area or identical wind The auto-sequencing of the different agricultural product of the dangerous factor can be easy locking risk agricultural product outstanding.

In one possible implementation, step S15, show the sequence as a result, may include:

The result of the sequence is shown by way of chart.

Shown by way of chart the sequence as a result, can be used that family is more intuitive to know that risks and assumptions sort Result.

Fig. 8 shows the block diagram of the risks and assumptions collator of the agricultural product according to one embodiment of the disclosure.Described device can To include:

First obtain module 61, for obtain the risks and assumptions, diet ratio, frequency of use, high exposed population group letter Breath, residue, area, agricultural product corresponding relationship；Wherein, the risks and assumptions are pesticide or veterinary drug, the letter of high exposed population group Breath be high exposed population group there are a possibility that；

Second obtain module 62, for according to the risks and assumptions, diet ratio, frequency of use, high exposed population group letter Breath, residue, obtain the score value of the risks and assumptions toxicity and the score value of toxic effect, the score value of the diet ratio, frequency of use Score value, the score value of high exposed population group, residue score value；

The first value-at-risk module 63 is determined, for according to the score value of the score value of the risks and assumptions toxicity and toxic effect, described The score value of diet ratio, the score value of frequency of use, the score value of high exposed population group, residue score value, determine the first value-at-risk；

Sorting module 64 is ranked up the risks and assumptions, area or agricultural product according to first value-at-risk；

Display module 65, for showing the result of the sequence；

Wherein, first value-at-risk=(A+B) × (C+D+E) × F

According to the score value of the risks and assumptions toxicity and the corresponding diet ratio point of the score value of toxic effect, the risks and assumptions The score value of value, the score value of frequency of use, the score value of high exposed population group, residue calculates the first value-at-risk, according to disclosure agricultural production The risks and assumptions collator of product can be realized the auto-sequencing of different regions and the different product risk factor, lock risk Horizontal risks and assumptions outstanding.Also, the determination of the first value-at-risk combines crowd's information and dietary information, so that the row The factor that sequence considers is more comprehensive, can more reflect the actual conditions of agricultural product production and consumption.In addition, by the score value list of residue Solely as one in the first value-at-risk calculation formula, so that ranking results more can the objective effective risk for embodying residue.

The risks and assumptions collator of disclosure agricultural product is conducive to the area of China's authorities' selection priority monitorings at different levels Domain, product and parameter are conducive to monitoring and organize and implement unit to monitoring result progress classification analysis, be conducive to interests correlation The reason of knowing the preferential risk of selection factor.

Fig. 9 shows the block diagram of the risks and assumptions collator of the agricultural product according to one embodiment of the disclosure.As shown in figure 9, In one possible implementation, second module 62 is obtained, comprising:

First acquisition unit 621 is used for according to the risks and assumptions, in conjunction with median lethal dose (LD₅₀) and/or daily permission Intake (ADI) obtains the score value of risks and assumptions toxic effect.

As shown in figure 9, in one possible implementation, the sorting module 64, comprising:

Second acquisition unit 641 obtains corresponding all first risks of risks and assumptions for being directed to each risks and assumptions Value；

Second value-at-risk computing unit 642, for calculating the mean value of corresponding all first value-at-risks of the risks and assumptions The second value-at-risk as risks and assumptions；

Sequencing unit 643 arranges the risks and assumptions for the second value-at-risk according to each risks and assumptions Sequence.

As shown in figure 9, in one possible implementation, the display module 65, comprising:

Display unit 651, for showing the result of the sequence by way of chart.

Figure 10 shows the block diagram of the sorting module 64 according to one embodiment of the disclosure.As shown in Figure 10, a kind of possible In implementation, the sorting module 64 may include:

Third acquiring unit 644, for obtaining corresponding all first value-at-risks in the area for each area；

Third value-at-risk computing unit 645, for calculating the mean value conduct of corresponding all first value-at-risks in the area The third value-at-risk of this area；

Second sequencing unit 646 is ranked up the area for the third value-at-risk according to each area.

As shown in Figure 10, in one possible implementation, the sorting module 64 may include:

4th acquiring unit 647 obtains corresponding all first risks of the agricultural product for being directed to each agricultural product Value；

4th value-at-risk computing unit 648, the mean value for calculating corresponding all first value-at-risks of the agricultural product are made For the 4th value-at-risk of the agricultural product；

Third sequencing unit 649 arranges the agricultural product for the 4th value-at-risk according to each agricultural product Sequence.

As shown in Figure 10, in one possible implementation, the first acquisition module 61 may include:

Distribution function forms unit 611, is fitted for the sample data to residue, forms the distribution letter of residue Number；

Residue acquiring unit 612 obtains the residue for the distribution function according to the residue.

About the device in above-described embodiment, wherein modules and unit execute the concrete mode of operation related It is described in detail in the embodiment of this method, no detailed explanation will be given here.

Figure 11 is a kind of block diagram of the risks and assumptions collator 800 of agricultural product shown according to an exemplary embodiment. For example, device 800 can be mobile phone, computer, digital broadcasting terminal, messaging device, tablet device, individual digital Assistant etc..

Referring to Fig.1 1, device 800 may include following one or more components: processing component 802, memory 804, power supply Component 806, multimedia component 808, audio component 810, the interface 812 of input/output (I/O), sensor module 814, and Communication component 816.

The integrated operation of the usual control device 800 of processing component 802, such as with display, telephone call, data communication, phase Machine operation and record operate associated operation.Processing component 802 may include that one or more processors 820 refer to execute It enables, to perform all or part of the steps of the methods described above.In addition, processing component 802 may include one or more modules, just Interaction between processing component 802 and other assemblies.For example, processing component 802 may include multi-media module, it is more to facilitate Interaction between media component 808 and processing component 802.

Memory 804 is configured as storing various types of data to support the operation in device 800.These data are shown Example includes the instruction of any application or method for operating on device 800, contact data, and telephone book data disappears Breath, picture, video etc..Memory 804 can be by any kind of volatibility or non-volatile memory device or their group It closes and realizes, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM) is erasable to compile Journey read-only memory (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory, flash Device, disk or CD.

Power supply module 806 provides electric power for the various assemblies of device 800.Power supply module 806 may include power management system System, one or more power supplys and other with for device 800 generate, manage, and distribute the associated component of electric power.

Multimedia component 808 includes the screen of one output interface of offer between described device 800 and user.One In a little embodiments, screen may include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, screen Curtain may be implemented as touch screen, to receive input signal from the user.Touch panel includes one or more touch sensings Device is to sense the gesture on touch, slide, and touch panel.The touch sensor can not only sense touch or sliding action Boundary, but also detect duration and pressure associated with the touch or slide operation.In some embodiments, more matchmakers Body component 808 includes a front camera and/or rear camera.When device 800 is in operation mode, such as screening-mode or When video mode, front camera and/or rear camera can receive external multi-medium data.Each front camera and Rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.

Audio component 810 is configured as output and/or input audio signal.For example, audio component 810 includes a Mike Wind (MIC), when device 800 is in operation mode, when such as call mode, recording mode, and voice recognition mode, microphone is matched It is set to reception external audio signal.The received audio signal can be further stored in memory 804 or via communication set Part 816 is sent.In some embodiments, audio component 810 further includes a loudspeaker, is used for output audio signal.

I/O interface 812 provides interface between processing component 802 and peripheral interface module, and above-mentioned peripheral interface module can To be keyboard, click wheel, button etc..These buttons may include, but are not limited to: home button, volume button, start button and lock Determine button.

Sensor module 814 includes one or more sensors, and the state for providing various aspects for device 800 is commented Estimate.For example, sensor module 814 can detecte the state that opens/closes of device 800, and the relative positioning of component, for example, it is described Component is the display and keypad of device 800, and sensor module 814 can be with 800 1 components of detection device 800 or device Position change, the existence or non-existence that user contacts with device 800,800 orientation of device or acceleration/deceleration and device 800 Temperature change.Sensor module 814 may include proximity sensor, be configured to detect without any physical contact Presence of nearby objects.Sensor module 814 can also include optical sensor, such as CMOS or ccd image sensor, at As being used in application.In some embodiments, which can also include acceleration transducer, gyro sensors Device, Magnetic Sensor, pressure sensor or temperature sensor.

Communication component 816 is configured to facilitate the communication of wired or wireless way between device 800 and other equipment.Device 800 can access the wireless network based on communication standard, such as WiFi, 2G or 3G or their combination.In an exemplary implementation In example, communication component 816 receives broadcast singal or broadcast related information from external broadcasting management system via broadcast channel. In one exemplary embodiment, the communication component 816 further includes near-field communication (NFC) module, to promote short range communication.Example Such as, NFC module can be based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra wide band (UWB) technology, Bluetooth (BT) technology and other technologies are realized.

In the exemplary embodiment, device 800 can be believed by one or more application specific integrated circuit (ASIC), number Number processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are realized, for executing the above method.

In the exemplary embodiment, a kind of non-volatile computer readable storage medium storing program for executing is additionally provided, for example including calculating The memory 804 of machine program instruction, above-mentioned computer program instructions can be executed above-mentioned to complete by the processor 820 of device 800 Method.

The disclosure can be system, method and/or computer program product.Computer program product may include computer Readable storage medium storing program for executing, containing for making processor realize the computer-readable program instructions of various aspects of the disclosure.

Computer readable storage medium, which can be, can keep and store the tangible of the instruction used by instruction execution equipment Equipment.Computer readable storage medium for example can be-- but it is not limited to-- storage device electric, magnetic storage apparatus, optical storage Equipment, electric magnetic storage apparatus, semiconductor memory apparatus or above-mentioned any appropriate combination.Computer readable storage medium More specific example (non exhaustive list) includes: portable computer diskette, hard disk, random access memory (RAM), read-only deposits It is reservoir (ROM), erasable programmable read only memory (EPROM or flash memory), static random access memory (SRAM), portable Compact disk read-only memory (CD-ROM), digital versatile disc (DVD), memory stick, floppy disk, mechanical coding equipment, for example thereon It is stored with punch card or groove internal projection structure and the above-mentioned any appropriate combination of instruction.Calculating used herein above Machine readable storage medium storing program for executing is not interpreted that instantaneous signal itself, the electromagnetic wave of such as radio wave or other Free propagations lead to It crosses the electromagnetic wave (for example, the light pulse for passing through fiber optic cables) of waveguide or the propagation of other transmission mediums or is transmitted by electric wire Electric signal.

Computer-readable program instructions as described herein can be downloaded to from computer readable storage medium it is each calculate/ Processing equipment, or outer computer or outer is downloaded to by network, such as internet, local area network, wide area network and/or wireless network Portion stores equipment.Network may include copper transmission cable, optical fiber transmission, wireless transmission, router, firewall, interchanger, gateway Computer and/or Edge Server.Adapter or network interface in each calculating/processing equipment are received from network to be counted Calculation machine readable program instructions, and the computer-readable program instructions are forwarded, for the meter being stored in each calculating/processing equipment In calculation machine readable storage medium storing program for executing.

Computer program instructions for executing disclosure operation can be assembly instruction, instruction set architecture (ISA) instructs, Machine instruction, machine-dependent instructions, microcode, firmware instructions, condition setup data or with one or more programming languages The source code or object code that any combination is write, the programming language include the programming language-of object-oriented such as Smalltalk, C++ etc., and conventional procedural programming languages-such as " C " language or similar programming language.Computer Readable program instructions can be executed fully on the user computer, partly execute on the user computer, be only as one Vertical software package executes, part executes on the remote computer or completely in remote computer on the user computer for part Or it is executed on server.In situations involving remote computers, remote computer can pass through network-packet of any kind It includes local area network (LAN) or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as benefit It is connected with ISP by internet).In some embodiments, by utilizing computer-readable program instructions Status information carry out personalized customization electronic circuit, such as programmable logic circuit, field programmable gate array (FPGA) or can Programmed logic array (PLA) (PLA), the electronic circuit can execute computer-readable program instructions, to realize each side of the disclosure Face.

Referring herein to according to the flow chart of the method, apparatus (system) of the embodiment of the present disclosure and computer program product and/ Or block diagram describes various aspects of the disclosure.It should be appreciated that flowchart and or block diagram each box and flow chart and/ Or in block diagram each box combination, can be realized by computer-readable program instructions.

These computer-readable program instructions can be supplied to general purpose computer, special purpose computer or other programmable datas The processor of processing unit, so that a kind of machine is produced, so that these instructions are passing through computer or other programmable datas When the processor of processing unit executes, function specified in one or more boxes in implementation flow chart and/or block diagram is produced The device of energy/movement.These computer-readable program instructions can also be stored in a computer-readable storage medium, these refer to It enables so that computer, programmable data processing unit and/or other equipment work in a specific way, thus, it is stored with instruction Computer-readable medium then includes a manufacture comprising in one or more boxes in implementation flow chart and/or block diagram The instruction of the various aspects of defined function action.

Computer-readable program instructions can also be loaded into computer, other programmable data processing units or other In equipment, so that series of operation steps are executed in computer, other programmable data processing units or other equipment, to produce Raw computer implemented process, so that executed in computer, other programmable data processing units or other equipment Instruct function action specified in one or more boxes in implementation flow chart and/or block diagram.

The flow chart and block diagram in the drawings show system, method and the computer journeys according to multiple embodiments of the disclosure The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation One module of table, program segment or a part of instruction, the module, program segment or a part of instruction include one or more use The executable instruction of the logic function as defined in realizing.In some implementations as replacements, function marked in the box It can occur in a different order than that indicated in the drawings.For example, two continuous boxes can actually be held substantially in parallel Row, they can also be executed in the opposite order sometimes, and this depends on the function involved.It is also noted that block diagram and/or The combination of each box in flow chart and the box in block diagram and or flow chart, can the function as defined in executing or dynamic The dedicated hardware based system made is realized, or can be realized using a combination of dedicated hardware and computer instructions.

The presently disclosed embodiments is described above, above description is exemplary, and non-exclusive, and It is not limited to disclosed each embodiment.Without departing from the scope and spirit of illustrated each embodiment, for this skill Many modifications and changes are obvious for the those of ordinary skill in art field.The selection of term used herein, purport In the principle, practical application or improvement to the technology in market for best explaining each embodiment, or make the art Other those of ordinary skill can understand each embodiment disclosed herein.

Claims

1. a kind of risks and assumptions sort method of agricultural product characterized by comprising

Obtain the corresponding diet ratio of the risks and assumptions, frequency of use, the information of high exposed population group, residue, area, agricultural production Product；Wherein, the risks and assumptions are pesticide or veterinary drug, the information of high exposed population group be high exposed population group there are a possibility that；

According to the risks and assumptions, diet ratio, frequency of use, the information of high exposed population group, residue, obtain the risk because The score value and the score value of toxic effect of sub- toxicity, the score value of the diet ratio, the score value of frequency of use, high exposed population group score value, The score value of residue；

According to the score value of the risks and assumptions toxicity and the score value of toxic effect, the score value of the diet ratio, frequency of use score value, The score value of the score value of high exposed population group, residue, determines the first value-at-risk；

Show the result of the sequence；

Wherein, first value-at-risk=(A+B) × (C+D+E) × F；

Wherein, A is the score value of the risks and assumptions toxicity, and B is the score value of risks and assumptions toxic effect, and C is the corresponding meals of risks and assumptions The score value of food ratio, D are the score value of the corresponding frequency of use of risks and assumptions, and E is point of the corresponding high exposed population group of risks and assumptions Value, F are the score value of the corresponding residue of risks and assumptions.

2. the method according to claim 1, wherein obtaining the risks and assumptions poison according to the risks and assumptions The score value of effect, comprising:

According to the risks and assumptions, in conjunction with median lethal dose LD₅₀And/or acceptable daily intake ADI, obtain risks and assumptions toxic effect Score value.

3. the method according to claim 1, wherein according to first value-at-risk, to the risks and assumptions into Row sequence, comprising:

4. the method according to claim 1, wherein described according to first value-at-risk, to the area into Row sequence, comprising:

According to the third value-at-risk in each area, the area is ranked up.

5. the method according to claim 1, wherein described according to first value-at-risk, to the agricultural product It is ranked up, comprising:

6. method according to claim 1-5, which is characterized in that show the result of the sequence, comprising:

The result of the sequence is shown by way of chart.

7. the method according to claim 1, wherein obtaining the corresponding residue of the risks and assumptions, comprising:

8. a kind of risks and assumptions collator of agricultural product characterized by comprising

First obtain module, for obtain the corresponding diet ratio of the risks and assumptions, frequency of use, high exposed population group letter Breath, residue, area, agricultural product；Wherein, the risks and assumptions are pesticide or veterinary drug, and the information of high exposed population group is high exposure Crowd there are a possibility that；

Second obtains module, for according to the risks and assumptions, diet ratio, frequency of use, the information of high exposed population group, residual Value, obtain the score value of the risks and assumptions toxicity and the score value of toxic effect, the score value of the diet ratio, frequency of use score value, The score value of the score value of high exposed population group, residue；

The first value-at-risk module is determined, for according to the score value of the risks and assumptions toxicity and score value, the diet ratio of toxic effect Example score value, the score value of frequency of use, the score value of high exposed population group, residue score value, determine the first value-at-risk；

Display module, for showing the result of the sequence；

Wherein, first value-at-risk=(A+B) × (C+D+E) × F

9. device according to claim 8, which is characterized in that second obtains module, comprising:

First acquisition unit is used for according to the risks and assumptions, in conjunction with median lethal dose LD₅₀And/or acceptable daily intake ADI obtains the score value of risks and assumptions toxic effect.

10. device according to claim 8, which is characterized in that the sorting module, comprising:

Second value-at-risk computing unit, for calculating the mean value of corresponding all first value-at-risks of the risks and assumptions as risk Second value-at-risk of the factor；

First sequencing unit is ranked up the risks and assumptions for the second value-at-risk according to each risks and assumptions.

11. device according to claim 8, which is characterized in that the sorting module, comprising:

Third value-at-risk computing unit, for calculating the mean value of corresponding all first value-at-risks in the area as this area Third value-at-risk；

12. device according to claim 8, which is characterized in that the sorting module, comprising:

4th value-at-risk computing unit, for calculating the mean value of corresponding all first value-at-risks of the agricultural product as the agricultural production 4th value-at-risk of product；

13. according to the described in any item devices of claim 8-12, which is characterized in that the display module, comprising:

Display unit, for showing the result of the sequence by way of chart.

14. device according to claim 8, which is characterized in that described first, which obtains module, includes:

Distribution function forms unit, is fitted for the sample data to the corresponding residue of the risks and assumptions, is formed residual Stay the distribution function of value；

Residue acquiring unit obtains the corresponding residue of the risks and assumptions for the distribution function according to the residue.

15. a kind of risks and assumptions collator of agricultural product characterized by comprising

Processor；

Memory for storage processor executable instruction；

Wherein, the processor is configured to executing described instruction to realize the described in any item methods of the claims 1-7.

16. a kind of non-volatile computer readable storage medium storing program for executing, is stored thereon with computer program instructions, which is characterized in that institute It states and realizes method described in any one of claim 1 to 7 when computer program instructions are executed by processor.