CN105809482A - Big data analysis system and method for cross-border trade - Google Patents
Big data analysis system and method for cross-border trade Download PDFInfo
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Abstract
The invention relates to the field of computer, specifically relates to a big data analysis system and a method for cross-border trade, and the system comprises the following modules: a user role module, a foreign trade data management module, a self-defining module, a query module and a foreign trade index module; all in all, the system and method have advantages of creativity, rationality, low time consumption, low cost, wide application range, accurate data and high efficiency and can accurately access present cross-border trade condition.
Description
Technical field
Patent of the present invention belongs to computer realm, is specifically related to the big data analysis system towards cross-border trade and method.
Background technology
At present, the development of cross-border trading electronic commerce has attracted the concern of various circles of society, government department also shows great attention to the future development of the cross-border trading electronic commerce of China, for building an environment being conducive to its development, all departments launch respectively related measure, carry out the cross-border trading electronic commerce of A clear guidance, but the situation of cross-border trade is assessed in measure unsuitable at present, cross-border ecommerce is added up and is assessed by many employing manpowers, expend big and efficiency is low, be also easy to because of the mistake of artificial reason generation data.
To this, I develops the big data analysis system towards cross-border trade and method according to many years of experience, the present invention is by arranging user role module, foreign trade data management module, custom block, enquiry module and foreign trade index number module, by gathering the information of government official website and large-scale business web site, calculate cross-border trade degree of prosperity index, compared with additive method, the present invention is creative, reasonability, time-consuming short, cost is low, applied range, data are accurate, efficiency is high, can the advantage of the cross-border trade Status of accurate evaluation.
Summary of the invention
The invention aims to overcome the deficiencies in the prior art, and provide out creative, reasonability, time-consuming short, cost is low, applied range, data are accurate, efficiency is high, can the big data analysis system towards cross-border trade of the cross-border trade Status of accurate evaluation and method.
The present invention is achieved by the following technical solutions:
1, towards the big data analysis system of cross-border trade, including such as lower module: user role module, foreign trade data management module, custom block, enquiry module and foreign trade index number module, described user role module includes user management module and authority management module, user registers, it is endowed role, dock with service platform, and have different authorities to inquire about data；
Described foreign trade data management module includes data dictionary management module, customs's source data management module and system management module, customs's source data module is responsible for gathering the merchandise news of customs, data dictionary module is responsible for the classification of merchandise news and the maintenance of information, user can inquire about the category title of click information, and system management module is responsible for the recovery and backup etc. of system update, data；
Described custom block can realize the change of catalogue, and user can carry out the self-defined interpolation of catalogue according to the content by category that oneself is paid close attention to, and increase function of search at self-defined interpolation interface, realizes inquiry and statistical function simultaneously；
Described query function module is mainly included into the inquiry of outlet master data and the generation of correlation inquiry, data statistics and analysis report；
The major function of described foreign trade index number module is the calculating of comprehensive degree of prosperity index, area indices, industry price index and sales volume index, wherein the computational methods of comprehensive degree of prosperity index are as follows: by moon customs's data, draw monthly average total import and export value and the number of times of foreign trade enterprise, with last year for radix, the total import and export value average drawn and number of times average are set to 100, calculate this monthly average total import and export value and number of times, and be weighted by calculating the variation tendency of the foreign trade consumer confidence index of this month import and export enterprise；
Computing formula is:
Wherein,For degree of prosperity index of that month then,、 Respectively then the total export in j month, export enterprise's number, outlet number of times；、、Respectively the total export in i last year month, export enterprise's number, outlet number of times；I={1,2,3 ..., 12} is month last year, j={1,2,3 ..., 12} is current month then.
Described user role module includes user management module and authority management module, user role is divided sections of government, enterprise customer and personal user by user management module, sections of government and enterprise customer can be undertaken initializing registration by customs's source data, and enterprise customer and personal user can register through system；Authority management module regulation six kinds of authorities, respectively super manager, sections of Department of Commerce of Henan Province user, sections of districts and cities user, district section office user, enterprise customer and personal user, by the binding of role Yu authority, specification user operation.
Described foreign trade data management module includes data dictionary management module, customs's source data management module and system management module, data dictionary management module is not closed not from commodity class chapter, country origin, measurement unit, area code, customs according to the definition of dictionary, information is classified by the methods of conducting trade, enterprise nature, means of transportation, enterprise name and trade classification, support dictionary data to import and derive, and dictionary manual administration, dictionary can increase newly by user, revise and the operation such as deletion；System management module is available for user and carries out the operations such as priority assignation, data backup, data recovery, log management, change password and system update.
Described custom block can make user's content by category to oneself paying close attention to carry out the self-defined interpolation of catalogue, and wherein classification includes operating unit, commodity code, transportation types, customs's type, receives place of departure, country and the methods of conducting trade etc..
Described query function module includes data inquiry module, data statistics module and analysis report module, data inquiry module is mainly included into inquiry and the correlation inquiry of outlet master data, the classification that can inquire about is for importing and exporting data query, enterprise's foreign trade data query, Commodity imports and exports trade is inquired about, country origin foreign trade data query, the other foreign trade data query in continent, the methods of conducting trade import and export data query, inquiry is imported and exported in enterprise nature trade, means of transportation imports and exports data query and inquiry is imported and exported in area trade, enquiry module allows fuzzy matching inquiry；Data can be added up by described data statistics module, and ranking, inquires about for user；Described analysis report module, this module, based on customs's source data, is reported as masterplate with provincial, city-level, district and enterprise four alanysis, provides the user the word analysis report of authority's specialty.
Described foreign trade index number module, the source of data includes Enterprise Application, government statistics and big data acquisition, and wherein big data acquisition mainly gathers data from worldwide trade website, after data acquisition, calculates single index index, and computational methods are as follows:
Desired value/the base period of index=current or report period or the same desired value in base period
Carrying out the comprehensive degree of prosperity index of two-layer weighted calculation, the basis for estimation of comprehensive degree of prosperity index: with 100 for marginal value with VC Method and analytic hierarchy process (AHP) again, scope, between 0-200, shows that higher than 100 economic scene tends to rising or improving, is considered as prosperous state；Reflect that economic development is more prosperous closer to 200；Show that lower than 100 economic scene tends to declining or worsening, be in depressed state, more low closer to 0 economical in reaction development；
The computational methods of area indices are identical with the computational methods of comprehensive degree of prosperity index；
Price index adopts the computational methods sending formula price index, and sales volume index adopts the computational methods sending formula index physical volume, and computing formula is as follows:
Price index computing formula:
Sales volume formula of index:
WhereinRepresent particular commodity monthly average last year price；Represent particular commodity this month average price,Represent the particular commodity moon in this year sales volume,Represent particular commodity moon last year sales volume.
Described adopt the transmission of function call, parameter between each module of the big data analysis system of cross-border trade, the mode of return value carries out information transmission.
2, towards the big data analysing method of cross-border trade, it comprises the following steps:
(1) from customs, Enterprise Application and worldwide trade website, gather data, close the classifications such as other, the methods of conducting trade, enterprise nature, means of transportation, enterprise name and trade classification carry out sorted generalization from area code, customs；
(2) calculating of data, single index index is used VC Method and analytic hierarchy process (AHP) carry out two-layer weighting and synthesizes comprehensive degree of prosperity index, single index index includes monthly average total import and export value and imports and exports number of times, and the computational methods of single index index are as follows:
By moon customs's data, draw monthly average total import and export value and the number of times of foreign trade enterprise, with last year for radix, the total import and export value average drawn and number of times average are set to 100, calculate this monthly average total import and export value and number of times；
And it is weighted by calculating the variation tendency of the foreign trade consumer confidence index of this month import and export enterprise；
Computing formula is:
Wherein,For degree of prosperity index of that month then,、 Respectively then the total export in j month, export enterprise's number, outlet number of times；、、Respectively the total export in i last year month, export enterprise's number, outlet number of times；I={1,2,3 ..., 12} is month last year, j={1,2,3 ..., 12} is current month then.
Choose the selling price of the commodity of different times and sales volume as master data given price grid index and sales volume index simultaneously,
Price index computing formula:
Sales volume formula of index:
WhereinRepresent particular commodity monthly average last year price；Represent particular commodity this month average price,Represent the particular commodity moon in this year sales volume,Represent sales volume on days on particular commodity；
The computational methods of area indices are identical with the computational methods of comprehensive degree of prosperity index；
(3) generation of analysis report.
The big data analysis system towards cross-border trade of the present invention and method, have the advantages that
(1) present invention mainly chooses cross-border trade selling volume and sells number of times as the leading indicator embodying cross-border trade, has reasonability, creativeness, advantage that accuracy is high.
(2) present invention adopts VC Method and analytic hierarchy process (AHP) that index is carried out double-weighing, and resynthesis calculates degree of prosperity index, creative, accuracy is high, reasonability, hand labor, the advantage that accurately embody cross-border trade Status are greatly reduced.
Accompanying drawing explanation
Fig. 1 is the system diagram of the big data analysis system towards cross-border trade of the present invention.
Fig. 2 be the present invention towards the cross-border trade in Henan consumer confidence index system pie graph in the big data analysis system of cross-border trade.
Detailed description of the invention
Hereinafter the specific embodiment of the present invention is described in detail, it should be appreciated that detailed description of the invention described herein is merely to illustrate and explains the present invention, is not limited to the present invention.
1, as follows towards the principles illustrated of the big data analysis system of cross-border trade:
Big data analysis system towards cross-border trade, including such as lower module: user role module, foreign trade data management module, custom block, enquiry module and foreign trade index number module, described user role module includes user management module and authority management module, user registers, it is endowed role, dock with service platform, and have different authorities to inquire about data；
Described foreign trade data management module includes data dictionary management module, customs's source data management module and system management module, customs's source data module is responsible for gathering the merchandise news of customs, data dictionary module is responsible for the classification of merchandise news and the maintenance of information, user can inquire about the category title of click information, and system management module is responsible for the recovery and backup etc. of system update, data；
Described custom block can realize the change of catalogue, and user can carry out the self-defined interpolation of catalogue according to the content by category that oneself is paid close attention to, and increase function of search at self-defined interpolation interface, realizes inquiry and statistical function simultaneously；
Described query function module is mainly included into the inquiry of outlet master data and the generation of correlation inquiry, data statistics and analysis report；
The major function of described foreign trade index number module is the calculating of comprehensive degree of prosperity index, area indices, industry price index and sales volume index, wherein the computational methods of comprehensive degree of prosperity index are as follows: by moon customs's data, draw monthly average total import and export value and the number of times of foreign trade enterprise, with last year for radix, the total import and export value average drawn and number of times average are set to 100, calculate this monthly average total import and export value and number of times, and be weighted by calculating the variation tendency of the foreign trade consumer confidence index of this month import and export enterprise；
Computing formula is:
Wherein,For degree of prosperity index of that month then,、 Respectively then the total export in j month, export enterprise's number, outlet number of times；、、Respectively the total export in i last year month, export enterprise's number, outlet number of times；I={1,2,3 ..., 12} is month last year, j={1,2,3 ..., 12} is current month then.
Described user role module includes user management module and authority management module, user role is divided sections of government, enterprise customer and personal user by user management module, sections of government and enterprise customer can be undertaken initializing registration by customs's source data, and enterprise customer and personal user can register through system；Authority management module regulation six kinds of authorities, respectively super manager, sections of Department of Commerce of Henan Province user, sections of districts and cities user, district section office user, enterprise customer and personal user, by the binding of role Yu authority, specification user operation.
Described foreign trade data management module includes data dictionary management module, customs's source data management module and system management module, data dictionary management module is not closed not from commodity class chapter, country origin, measurement unit, area code, customs according to the definition of dictionary, information is classified by the methods of conducting trade, enterprise nature, means of transportation, enterprise name and trade classification, support dictionary data to import and derive, and dictionary manual administration, dictionary can increase newly by user, revise and the operation such as deletion；System management module is available for user and carries out the operations such as priority assignation, data backup, data recovery, log management, change password and system update.
Described custom block can make user's content by category to oneself paying close attention to carry out the self-defined interpolation of catalogue, and wherein classification includes operating unit, commodity code, transportation types, customs's type, receives place of departure, country and the methods of conducting trade etc..
Described query function module includes data inquiry module, data statistics module and analysis report module, data inquiry module is mainly included into inquiry and the correlation inquiry of outlet master data, the classification that can inquire about is for importing and exporting data query, enterprise's foreign trade data query, Commodity imports and exports trade is inquired about, country origin foreign trade data query, the other foreign trade data query in continent, the methods of conducting trade import and export data query, inquiry is imported and exported in enterprise nature trade, means of transportation imports and exports data query and inquiry is imported and exported in area trade, enquiry module allows fuzzy matching inquiry；Data can be added up by described data statistics module, and ranking, inquires about for user；Described analysis report module, this module, based on customs's source data, is reported as masterplate with provincial, city-level, district and enterprise four alanysis, provides the user the word analysis report of authority's specialty.
Described foreign trade index number module, the source of data includes Enterprise Application, government statistics and big data acquisition, and wherein big data acquisition mainly gathers data from worldwide trade website, after data acquisition, calculates single index index, and computational methods are as follows:
Desired value/the base period of index=current or report period or the same desired value in base period
Carrying out the comprehensive degree of prosperity index of two-layer weighted calculation, the basis for estimation of comprehensive degree of prosperity index: with 100 for marginal value with VC Method and analytic hierarchy process (AHP) again, scope, between 0-200, shows that higher than 100 economic scene tends to rising or improving, is considered as prosperous state；Reflect that economic development is more prosperous closer to 200；Show that lower than 100 economic scene tends to declining or worsening, be in depressed state, more low closer to 0 economical in reaction development；
The computational methods of area indices are identical with the computational methods of comprehensive degree of prosperity index；
Price index adopts the computational methods sending formula price index, and sales volume index adopts the computational methods sending formula index physical volume, and computing formula is as follows:
Price index computing formula:
Sales volume formula of index:
WhereinRepresent particular commodity monthly average last year price；Represent particular commodity this month average price,Represent the particular commodity moon in this year sales volume,Represent particular commodity moon last year sales volume.
Described adopt the transmission of function call, parameter between each module of the big data analysis system of cross-border trade, the mode of return value carries out information transmission.
The present invention measures the cross-border ecommerce degree of prosperity index in Henan Province first, as follows when being embodied as:
1. first gathering data, Data Source has following three kinds of approach:
(1) government statistics, essentially from the real-time AUTHORITATIVE DATA of Zhengzhou customs.
(2) Enterprise Application, enterprise can pass through to declare platform and carry out information AsTl deposit.
(3) big data acquisition, essentially from the collection data of world's factory, the world commerce website such as the whole world is purchased, Tian Mao is international.
2. the data of index are extracted, are processed
Consumer confidence index is by prosperous index comprehensive performance, when choosing prosperous index, it is necessary to follow following principle:
The development of the cross-border trade in Henan can be embodied.Mainly consider from cross-border trade goods scale, management state, upstream and downstream and relevant industries.Mainly choose cross-border trade selling volume and sale number of times is that index considers data.
3. the establishment of single index index
Index is only mathematically a ratio, it is that people are for one that reflects change most simple means, the particularly common change brought with reflecting time, concrete way is with the desired value of current or report period for molecule, with the same desired value in base period or base period for denominator.Formula is
Desired value/the base period of index=current or report period or the same desired value in base period
Index is generally expressed as a percentage.
Different by the selection of base period, it is possible to the index being variously formulated, for instance maximum chain base indexs in economic society field with ratio index be just an above phase respectively and the same period last year is base period.In this case, it is considered to common practice and needs, setting with the monthly unit for calculating period, the current or report period be this month, and chain rate is above January is the base period, is with same month of last year for base period on year-on-year basis.
Chain base index formula is of that month desired value/upper January desired value；
Exponential formula was of that month desired value/on same month, upper 1 desired value on year-on-year basis；
Due to data reasons, First Year can only ring ratio index.
4. index synthetic method
Addition and multiplication
Index synthesis constitutes item: customs's AUTHORITATIVE DATA, Enterprise Application data and big data acquisition three part.
5. flexible strategy are determined
The main method adopting the coefficient of variation and the subjective and objective combination of analytic hierarchy process (AHP).
1. based on to current cross-border commercial data
1, ground floor weight
The scale of cross-border trade and structure and quality, be all the pith of cross-border Trade Development, it is believed that its imparting being of equal importance is equivalent, is 0.5.
2, second layer weight
(1) cross-border trade scale
The fuzzy consistent judgment matrix of cross-border trade scale
| Cross-border trade scale | Transaction number of the enterprise | Trading volume | Turnover | Trade variety quantity |
| Transaction number of the enterprise | 1 | 1/3 | 1/4 | 1/2 |
| Trading volume | 3 | 1 | 3/4 | 1/2 |
| Turnover | 4 | 4/3 | 1 | 2 |
| Trade variety quantity | 2 | 2 | 1/2 | 1 |
(2) cross-border Trade Structure and quality
The fuzzy consistent judgment matrix of cross-border Trade Structure and quality
| Cross-border Trade Structure and quality | The relative development index of turnover | The relative development index of new and high technology series products | Developed economies share |
| The relative development index of turnover | 1 | 3 | 2 |
| The relative development index of new and high technology series products | 1/3 | 1 | 3/4 |
| Developed economies share | 1/2 | 4/3 | 1 |
2. the cross-border trade consumer confidence index system in Henan is constituted
1, consumer confidence index System Design base values
With reference to the subjective diffusion index such as business condition index and entrepreneur confidence exponent, in conjunction with cross-border trade practical systems design principle, Zhengzhou customs is adopted to import and export based on transaction data, as the base values of the cross-border trade scale in reflection Henan, structure and performance figure.
The selection criterions such as the quantitative criteria of comprehensive each side combined function, feasibility, economy, it is thus achieved that weighing the cross-border trade index system in Henan, its index arranges as follows in detail:
2, index weights selects
The defining method of cross-border trade consumer confidence index index weights adopts the integrated approach of VC Method and the subjective and objective information of Fuzzy AHP.The method is that subjective weight preference information policymaker provided and objective decision matrix information carry out organically integrated, make the weight determined reflect subjective degree and subjective degree simultaneously by a mathematical programming model.
Wherein, Variance Coefficient Weighting method is exactly it is composed power in all degree of variation sizes being evaluated on object observation according to each index.The index that degree of variation is big, illustrates to reflect preferably the situation of each index should give bigger weight;Otherwise, then less weight is given.And Fuzzy AHP is the judgment matrix important ratio that index carries out between any two relatively obtained according to expert carries out the result that Eigenvalues analysis obtains, VC Method reflection is the features that have of data itself, the feature that index intension that what analytic hierarchy process (AHP) reflected is has.
(1) the general calculation procedure of the coefficient of variation has: the first step: calculate the coefficient of variation, second step: the coefficient of variation is substituted into and calculates coefficient of variation weight.WhereinFor the standard deviation of index,For the average of index,For the coefficient of variation,For coefficient of variation weight.
(2) calculation procedure of Fuzzy AHP has:
The first step: create Recurison order hierarchy framework.In foundation system, the membership between target, criterion, solution layer three creates.Target indicatorIt is divided intoIndividual sub-index, i.e. first class index collection, each first class index collection can be divided into againIndividual two-level index collection.Then cross-border trade constitutes the index system of a three layers.
Second step: structure fuzzy judgment matrix.Found by contrasting the importance of each criterion in upper strata and the various factors that is in same aspect between two；
Fuzzy consistent judgment matrix refers to the judgment matrix with center-division transitivity and robustness, meets the feature at heart of people's policy-making thought. introduce fuzzy consistent judgment matrix and can avoid the consistency check program owing to the subjectivity judged brings.By dominance relation judgment matrixFuzzy consistent judgment matrix can be obtained,Represent indexCompare indexImportance relative to last layer.
Wherein,,
Wherein,For the importance that two indexes factor is compared, adopt 3-scaling law, then
3rd step: Mode of Level Simple Sequence, just by same level factor important ratio compared with weights.
Normalization method and fuzzy consistent judgment matrix is adopted to carry out the calculating of two-level index weights.First in, employing root method willIn each element by row be multiplied,, openObtain after power, finally it is being normalized:
Obtain two-level index weight sets
4th step: the concordance of inspection fuzzy judgment matrix.Eigenvalue of maximum according to fuzzy consistent judgment matrixCalculate judgment matrix approach index, finally calculate Consistency Check in Judgement Matrix coefficient, wherein RI is Aver-age Random Consistency Index, and it shows whether judgment matrix has satisfactory consistency, when, it is judged that the satisfactory consistency that matrix has is upchecked.
5th step: total hierarchial sorting
Total sequence at all levels:
Wherein,It isLayer index comprehensive weight under general objective,It isLayer sub-indicator is theThe single sequence of layer index,It isThe layer index single sequence under general objective
The comprehensive weight of each sub-indicator under general objective
3, weight calculates process in detail
(1) calculating of analytic hierarchy process (AHP) weight
Ground floor weight
The scale of cross-border trade and structure and quality, be all the pith of cross-border Trade Development, it is believed that its imparting being of equal importance is equivalent, is 0.5.
The fuzzy consistent judgment matrix of second layer weight
The fuzzy consistent judgment matrix of cross-border trade scale
| Cross-border trade scale | Transaction number of the enterprise | Trading volume | Turnover | Trade variety quantity |
| Transaction number of the enterprise | 1 | 1/3 | 1/4 | 1/2 |
| Trading volume | 3 | 1 | 3/4 | 1/2 |
| Turnover | 4 | 4/3 | 1 | 2 |
| Trade variety quantity | 2 | 2 | 1/2 | 1 |
The fuzzy consistent judgment matrix of cross-border Trade Structure and quality
| Cross-border Trade Structure and quality | The relative development index of turnover | The relative development index of new and high technology series products | Developed economies share |
| The relative development index of turnover | 1 | 3 | 2 |
| The relative development index of new and high technology series products | 1/3 | 1 | 3/4 |
| Developed economies share | 1/2 | 4/3 | 1 |
Analytic hierarchy process (AHP) calculates weight
(2) VC Method binding hierarchy analytic process determines final weight
2, the detailed description of the invention towards the big data analysing method of cross-border trade of the present invention is as follows:
The big data analysing method towards cross-border trade of the present invention, it comprises the following steps:
(1) from customs, Enterprise Application and worldwide trade website, gather data, close the classifications such as other, the methods of conducting trade, enterprise nature, means of transportation, enterprise name and trade classification carry out sorted generalization from area code, customs；
(2) calculating of data, single index index is used VC Method and analytic hierarchy process (AHP) carry out two-layer weighting and synthesizes comprehensive degree of prosperity index, single index index includes monthly average total import and export value and imports and exports number of times, and the computational methods of single index index are as follows:
By moon customs's data, draw monthly average total import and export value and the number of times of foreign trade enterprise, with last year for radix, the total import and export value average drawn and number of times average are set to 100, calculate this monthly average total import and export value and number of times；
And it is weighted by calculating the variation tendency of the foreign trade consumer confidence index of this month import and export enterprise；
Computing formula is:
Wherein,For degree of prosperity index of that month then,、 Respectively then the total export in j month, export enterprise's number, outlet number of times；、、Respectively the total export in i last year month, export enterprise's number, outlet number of times；I={1,2,3 ..., 12} is month last year, j={1,2,3 ..., 12} is current month then.
Choose the selling price of the commodity of different times and sales volume as master data given price grid index and sales volume index simultaneously,
Price index computing formula:
Sales volume formula of index:
WhereinRepresent particular commodity monthly average last year price；Represent particular commodity this month average price,Represent the particular commodity moon in this year sales volume,Represent sales volume on days on particular commodity；
The computational methods of area indices are identical with the computational methods of comprehensive degree of prosperity index；
(3) generation of analysis report.
Claims (8)
1. towards the big data analysis system of cross-border trade, it is characterized in that, including such as lower module: user role module, foreign trade data management module, custom block, enquiry module and foreign trade index number module, described user role module includes user management module and authority management module, user registers, it is endowed role, docks with service platform, and have different authorities to inquire about data；
Described foreign trade data management module includes data dictionary management module, customs's source data management module and system management module, customs's source data module is responsible for gathering the merchandise news of customs, data dictionary module is responsible for the classification of merchandise news and the maintenance of information, user can inquire about the category title of click information, and system management module is responsible for the recovery and backup etc. of system update, data；
Described custom block can realize the change of catalogue, and user can carry out the self-defined interpolation of catalogue according to the content by category that oneself is paid close attention to, and increase function of search at self-defined interpolation interface, realizes inquiry and statistical function simultaneously；
Described query function module is mainly included into the inquiry of outlet master data and the generation of correlation inquiry, data statistics and analysis report；
The major function of described foreign trade index number module is the calculating of comprehensive degree of prosperity index, area indices, industry price index and sales volume index, wherein the computational methods of comprehensive degree of prosperity index are as follows: by moon customs of Henan Province data, draw monthly average total import and export value and the number of times of foreign trade enterprise, with last year for radix, the total import and export value average drawn and number of times average are set to 100, calculate this monthly average total import and export value and number of times, and be weighted by calculating the variation tendency of the foreign trade consumer confidence index of this month import and export enterprise；
Computing formula is:
Wherein,For the degree of prosperity index that this year is of that month,、 Respectively then the total export in j month, export enterprise's number, outlet number of times；、、Respectively the total export in i last year month, export enterprise's number, outlet number of times；I={1,2,3 ..., 12} is month last year, j={1,2,3 ..., 12} is current month then.
2. the big data analysis system towards cross-border trade according to claim 1, it is characterized in that: described user role module includes user management module and authority management module, user role is divided sections of government, enterprise customer and personal user by user management module, sections of government and enterprise customer can be undertaken initializing registration by customs's source data, and enterprise customer and personal user can register through system；Authority management module regulation six kinds of authorities, respectively super manager, sections of Department of Commerce of Henan Province user, sections of districts and cities user, district section office user, enterprise customer and personal user, by the binding of role Yu authority, specification user operation.
3. the big data analysis system towards cross-border trade according to claim 1, it is characterized in that: described foreign trade data management module includes data dictionary management module, customs's source data management module and system management module, data dictionary management module according to the definition of dictionary from commodity class chapter, country origin, measurement unit, area code, customs closes not, the methods of conducting trade, enterprise nature, means of transportation, information is classified by enterprise name and trade classification, support dictionary data to import and derive, and dictionary manual administration, dictionary can be increased newly by user, the operation such as amendment and deletion；System management module is available for user and carries out the operations such as priority assignation, data backup, data recovery, log management, change password and system update.
4. the big data analysis system towards cross-border trade according to claim 1, it is characterized in that: described custom block can make user's content by category to oneself paying close attention to carry out the self-defined interpolation of catalogue, wherein classification includes operating unit, commodity code, transportation types, customs's type, receives place of departure, country and the methods of conducting trade etc..
5. the big data analysis system towards cross-border trade according to claim 1, it is characterized in that: described query function module includes data inquiry module, data statistics module and analysis report module, data inquiry module is mainly included into inquiry and the correlation inquiry of outlet master data, the classification that can inquire about is for importing and exporting data query, enterprise's foreign trade data query, Commodity imports and exports trade is inquired about, country origin foreign trade data query, the other foreign trade data query in continent, the methods of conducting trade import and export data query, inquiry is imported and exported in enterprise nature trade, means of transportation imports and exports data query and inquiry is imported and exported in area trade, enquiry module allows fuzzy matching inquiry；Data can be added up by described data statistics module, and ranking, inquires about for user；Described analysis report module, this module, based on customs's source data, is reported as masterplate with provincial, city-level, district and enterprise four alanysis, provides the user the word analysis report of authority's specialty.
6. the big data analysis system towards cross-border trade according to claim 1, it is characterized in that: described foreign trade index number module, the source of data includes Enterprise Application, government statistics and big data acquisition, wherein big data acquisition mainly gathers data from worldwide trade website, after data acquisition, calculating single index index, computational methods are as follows:
Desired value/the base period of index=current or report period or the same desired value in base period
Carrying out the comprehensive degree of prosperity index of two-layer weighted calculation, the basis for estimation of comprehensive degree of prosperity index: with 100 for marginal value with VC Method and analytic hierarchy process (AHP) again, scope, between 0-200, shows that higher than 100 economic scene tends to rising or improving, is considered as prosperous state；Reflect that economic development is more prosperous closer to 200；Show that lower than 100 economic scene tends to declining or worsening, be in depressed state, more low closer to 0 economical in reaction development；
The computational methods of area indices are identical with the computational methods of comprehensive degree of prosperity index；
Price index adopts the computational methods sending formula price index, and sales volume index adopts the computational methods sending formula index physical volume, and computing formula is as follows:
Price index computing formula:
Sales volume formula of index:
WhereinRepresent particular commodity monthly average last year price；Represent particular commodity this month average price,Represent the particular commodity moon in this year sales volume,Represent particular commodity moon last year sales volume.
7. the big data analysis system towards cross-border trade according to claim 1, it is characterised in that: described adopt the transmission of function call, parameter between each module of the big data analysis system of cross-border trade, the mode of return value carries out information transmission.
8. towards the big data analysing method of cross-border trade, it is characterised in that: it comprises the following steps:
(1) from customs, Enterprise Application and worldwide trade website, gather data, close the classifications such as other, the methods of conducting trade, enterprise nature, means of transportation, enterprise name and trade classification carry out sorted generalization from area code, customs；
(2) calculating of data, single index index is used VC Method and analytic hierarchy process (AHP) carry out two-layer weighting and synthesizes comprehensive degree of prosperity index, single index index includes monthly average total import and export value and imports and exports number of times, and the computational methods of single index index are as follows:
By moon customs's data, draw monthly average total import and export value and the number of times of foreign trade enterprise, with last year for radix, the total import and export value average drawn and number of times average are set to 100, calculate this monthly average total import and export value and number of times；
And it is weighted by calculating the variation tendency of the foreign trade consumer confidence index of this month import and export enterprise；
Computing formula is:
Wherein,For degree of prosperity index of that month then,、 Respectively then the total export in j month, export enterprise's number, outlet number of times；、、Respectively the total export in i last year month, export enterprise's number, outlet number of times；I={1,2,3 ..., 12} is month last year, j={1,2,3 ..., 12} is current month then；
Choose the selling price of the commodity of different times and sales volume as master data given price grid index and sales volume index simultaneously,
Price index computing formula:
Sales volume formula of index:
WhereinRepresent particular commodity monthly average last year price；Represent particular commodity this month average price,Represent the particular commodity moon in this year sales volume,Represent particular commodity moon last year sales volume；
The computational methods of area indices are identical with the computational methods of comprehensive degree of prosperity index；
(3) generation of analysis report.
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