Pesticide residue data-oriented multidimensional cross-over analysis method and system

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

Active Publication Date: 2018-08-17
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 achi...

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  • Pesticide residue data-oriented multidimensional cross-over analysis method and system
  • Pesticide residue data-oriented multidimensional cross-over analysis method and system
  • Pesticide residue data-oriented multidimensional cross-over analysis method and system

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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 pesticide residue data-oriented multidimensional cross-over analysis method. According to the method, a double multidimensional data correlation storage model based on doublecubes is constructed, double multidimensional cross-over data analysis treatment is conducted according to pesticide residue data, multidimensional analysis query and analysis are conducted among multiple data subsets, and detection identification of abnormal values is carried out; a pesticide residue data-oriented multidimensional over-cross analysis system is achieved by utilizing the multidimensional cross-over analysis method. The system includes an information collecting module, a data warehouse module, a data analysis module and an automatic report generating module. Through exception detection for identifying abnormal data values, data is more comprehensively analyzed, and an online analysis service is provided for pesticide residue risk evaluation and scientific management and usage of pesticide.

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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IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/2264G06F16/245G06F16/2462G06F16/248G06F16/283G06F18/2433
Inventor 陈谊田帅章蓉
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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