CN-121389186-B - Agricultural data sharing system based on big data

Abstract

The invention relates to the field of data analysis, in particular to an agricultural data sharing system based on big data, which comprises an association sharing module, an association evaluation module, a risk analysis module and a quality analysis module, wherein the association sharing module is used for determining an association sharing data set, the association evaluation module is used for determining whether to carry out sharing risk analysis and sharing quality analysis on corresponding association sharing data sets based on an aggregate association state where each association sharing data set is located, the risk analysis module is used for determining whether to carry out regional risk analysis or crop risk analysis on the association sharing data sets according to regional distribution association parameters, determining whether to carry out sharing protection processing on each sharing data based on distribution association duty ratio indexes, and the quality analysis module is used for determining whether to carry out quality optimization processing on each association sharing data set according to aggregate response association parameters. The invention ensures the quality of shared data and the safety of a test planting scheme.

Inventors

• ZHANG GONGYU

Assignees

• 新农创云链(北京)科技有限公司

Dates

Publication Date

20260508

Application Date

20251120

Claims (9)

1. 1. An agricultural data sharing system based on big data, comprising: The association sharing module is used for determining an association sharing data set, and the association sharing data set is determined based on set analysis association parameters obtained by carrying out association analysis on the stage sharing data set; The association evaluation module is connected with the association sharing module and is used for determining whether to carry out sharing risk analysis and sharing quality analysis on the corresponding association sharing data sets based on the set association state of each association sharing data set, wherein the set association state is determined according to the set region association parameters and the set test association parameters; The risk analysis module is connected with the association evaluation module and is used for determining whether to perform area risk analysis or crop risk analysis on the associated shared data set according to area distribution association parameters, determining whether to perform sharing protection processing on each piece of shared data based on a distribution association duty ratio index, wherein the area distribution association parameters are determined according to the number of distribution association areas existing in the test planting area corresponding to each piece of shared data; The quality analysis module is respectively connected with the association evaluation module and the risk analysis module and is used for determining whether quality optimization processing is carried out on each association sharing data set according to the set response association parameters; The set association state comprises a class set association state and a class set association state; The association evaluation module marks the association shared data set with the set area association parameter larger than the preset set area association parameter or the set test association parameter larger than the preset set test association parameter as an association shared data set in a set association state; The association evaluation module records an association shared data set with the set area association parameter smaller than or equal to the preset set area association parameter and the set test association parameter smaller than or equal to the preset set test association parameter as an association shared data set in a second class set association state; for a single associated shared data set, the set region association parameters , To share the number of trial planting areas present within the analysis range, For the number of different test planting areas corresponding to each item of shared data in the associated shared data set, the set of test associated parameters , For the number of categories of the test crop corresponding to each item of shared data in the associated shared data set, The number of categories of test crop plants that are correspondingly present within the shared analysis scope.
2. 2. The big data based agricultural data sharing system of claim 1, wherein, The risk analysis module performs a shared risk analysis for an associated shared data set in a class set association state, wherein, The regional distribution association parameters are determined according to distribution association duty ratio indexes corresponding to all the shared data in all the association shared data sets, and the distribution association duty ratio indexes are determined according to the number of distribution association regions existing in the test planting regions corresponding to all the shared data.
3. 3. The big data based agricultural data sharing system of claim 2, wherein, The risk analysis module performs regional risk analysis on the associated shared data set with the regional distribution associated parameter larger than the preset regional distribution associated parameter, wherein, And determining whether to perform sharing protection processing on the corresponding shared data according to the distribution association duty ratio index of each item of shared data.
4. 4. The big data based agricultural data sharing system according to claim 3, wherein, The risk analysis module performs sharing protection processing on shared data with any distribution association duty ratio index larger than a preset distribution association duty ratio index, and determines a data protection index of the shared data according to the distribution association duty ratio index; And the data protection index and the distribution association duty ratio index are in positive correlation.
5. 5. The big data based agricultural data sharing system of claim 4, wherein, The risk analysis module performs crop risk analysis on the associated shared data set with the area distribution associated parameter smaller than or equal to the preset area distribution associated parameter or the area risk analysis is completed, wherein, The risk analysis module detects data cross capturing parameters of all shared data in the associated shared data set, and determines whether to carry out sharing protection processing on the corresponding shared data according to the data cross capturing parameters of all the shared data.
6. 6. The big data based agricultural data sharing system of claim 5, wherein, The risk analysis module performs sharing protection processing on shared data with any data cross capture parameter larger than a preset data cross capture parameter, and determines a data protection index of the shared data according to the data cross capture parameter; And the data protection index and the data cross capture parameter are in positive correlation.
7. 7. The big data based agricultural data sharing system of claim 6, wherein, The quality analysis module performs sharing quality analysis on the associated shared data sets in the second class set association state or the sharing risk analysis is completed; The aggregate response association parameter is determined according to the acting response duty ratio index of each item of shared data.
8. 8. The big data based agricultural data sharing system of claim 7, wherein, The quality analysis module judges that the set response association parameter is smaller than or equal to the association shared data set of the preset set response association parameter to carry out quality optimization processing, wherein, Acquiring response deviation data of an associated shared data set which needs to be subjected to quality optimization processing, and performing data quality early warning on the response deviation data; and the response deviation data is response analysis data with the action response duty ratio index smaller than or equal to the preset set response association parameter.
9. 9. The big data based agricultural data sharing system of claim 1, wherein, The association sharing module periodically performs association analysis on the phase sharing data set; The set analysis association parameters of any of the associated shared data sets are larger than preset set analysis association parameters, and the set analysis association parameters are determined according to association effect indexes of various shared data; The phase shared data set is a set of shared data acquired in a phase evaluation period in which the phase shared data set is currently located.

Description

Agricultural data sharing system based on big data Technical Field The invention relates to the field of data analysis, in particular to an agricultural data sharing system based on big data. Background In the current agricultural production activities and development process, the dependence on agricultural data is gradually increased, effective analysis and storage operation are required to be carried out on the acquired agricultural data, and sharing of the agricultural data is completed. In the process of agricultural data sharing, the accuracy of the shared data is ensured, and meanwhile, the relevance among the data is ensured, so that the phenomenon of data island in the data sharing process is avoided. In the agricultural test planting process, the test planting scheme is often required to be protected by encryption, if the shared data is not processed in a targeted mode, the risk of leakage of the test planting scheme is easily caused, and therefore, the problem of how to avoid the leakage of the test planting deployment scheme on the premise of guaranteeing effective sharing of the test planting data is to be solved by the person in the field. The Chinese patent publication No. CN115037760A discloses an agricultural sharing experiment platform based on the Internet of things, which comprises a platform system, wherein the platform system comprises four technical architecture layers, namely a perception layer, a transmission access layer, a service layer and an application layer. Through integration with universities, specialists and farms, research on a rapid matching test field is realized, automatic data acquisition is performed by using internet of things equipment and the like, so that an experiment flow is simplified, an experiment reference group is reasonably and rapidly distributed, and the like. However, the scheme has the defect that the risk of leakage of the test planting deployment scheme exists in the process of sharing the test planting data due to the fact that the shared data information is not subjected to targeted protection processing. Disclosure of Invention Therefore, the invention provides an agricultural data sharing system based on big data, which is used for solving the problem that the risk of leakage test planting deployment scheme exists in the sharing process of test planting data due to the fact that the shared data information cannot be subjected to targeted protection treatment in the prior art. In order to achieve the above object, the present invention provides an agricultural data sharing system based on big data, comprising: The association sharing module is used for determining an association sharing data set, and the association sharing data set is determined based on set analysis association parameters obtained by carrying out association analysis on the stage sharing data set; The association evaluation module is connected with the association sharing module and is used for determining whether to carry out sharing risk analysis and sharing quality analysis on the corresponding association sharing data sets based on the set association state of each association sharing data set, wherein the set association state is determined according to the set region association parameters and the set test association parameters; The risk analysis module is connected with the association evaluation module and is used for determining whether to perform area risk analysis or crop risk analysis on the associated shared data set according to area distribution association parameters, determining whether to perform sharing protection processing on each piece of shared data based on a distribution association duty ratio index, wherein the area distribution association parameters are determined according to the number of distribution association areas existing in the test planting area corresponding to each piece of shared data; and the quality analysis module is respectively connected with the association evaluation module and the risk analysis module and is used for determining whether quality optimization processing is carried out on each association sharing data set according to the set response association parameters. Further, the set association state comprises a class set association state and a class set association state; The association evaluation module marks the association shared data set with the set area association parameter larger than the preset set area association parameter or the set test association parameter larger than the preset set test association parameter as an association shared data set in a set association state; And the association evaluation module marks the association shared data set with the set area association parameter smaller than or equal to the preset set area association parameter and the set test association parameter smaller than or equal to the preset set test association parameter as the association shared data set in the second clas