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A multi-dimensional cross analysis method and system for pesticide residue data

A technology for pesticide residues and analysis methods, which is applied in the field of hierarchical, multi-dimensional, and correlated data analysis, and can solve problems such as difficulty in meeting statistical analysis needs, single mathematical statistics of data, and difficult crossover and correlation statistical analysis.

Active Publication Date: 2020-04-17
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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Problems solved by technology

The current pesticide residue data analysis methods mainly use Excel, SPSS and other data analysis software to perform relatively simple mathematical statistics on the data, and it is difficult to achieve cross and correlation statistical analysis, and the statistical results are mainly expressed by some independent data tables and statistical charts. Difficult to meet the above statistical analysis needs

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  • A multi-dimensional cross analysis method and system for pesticide residue data
  • A multi-dimensional cross analysis method and system for pesticide residue data
  • A multi-dimensional cross analysis method and system for pesticide residue data

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Embodiment Construction

[0066] Below in conjunction with accompanying drawing, further describe the present invention through embodiment, but do not limit the scope of the present invention in any way.

[0067] The present invention designs a multi-dimensional cross-analysis method and system for data, combines with abnormal detection to identify abnormal values, comprehensively analyzes data, and provides online analysis services for pesticide residue risk assessment, scientific management and use of pesticides.

[0068] The multi-dimensional cross analysis method and anomaly detection method proposed in the present invention combined with the pesticide residue detection data analysis system provide an efficient and accurate data analysis system for the analysis and early warning of pesticide residue data in various regions of my country. The combination of the multi-dimensional data model of the dual data cube of pesticide residues and the kernel density estimation method better realizes the mutual ...

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Abstract

The invention discloses a multi-dimensional cross analysis method for pesticide residue data, establishes a dual multi-dimensional data association storage model based on double cubes, performs double multi-dimensional cross data analysis and processing for pesticide residue data, and performs data analysis and processing between multiple data subsets. Multidimensional analysis query and analysis, and detection and identification of outliers; multidimensional cross analysis system for pesticide residue data realized by multidimensional cross analysis method, including: information collection module, data warehouse module, data analysis module and report automatic generation module. The invention identifies data abnormal values ​​through abnormal detection, analyzes data more comprehensively, and provides online analysis services for the risk assessment of pesticide residues and the scientific management and use of pesticides.

Description

technical field [0001] The invention relates to an analysis method of multi-dimensional, hierarchical and associated data, in particular to a multi-dimensional cross-analysis method and system for pesticide residue data. Background technique [0002] Pesticide residues are one of the main factors leading to food safety problems. For this reason, the food safety testing departments of the country and various provinces and cities have to test the pesticide residues in agricultural products every year. There are multiple dimensions such as time, sampling location, and limit standards. The data volume is large and interrelated, and some dimensions also have hierarchical characteristics. How to conduct all-round statistical analysis and early warning of such data and provide data support for government decision-making is an urgent problem to be solved. The current pesticide residue data analysis methods mainly use Excel, SPSS and other data analysis software to perform relativel...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/22G06F16/28G06F16/245G06F16/2458G06F16/248G06K9/62
CPCG06F16/2264G06F16/245G06F16/2462G06F16/248G06F16/283G06F18/2433
Inventor 陈谊田帅章蓉
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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