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Meteorological-data quality control method and system
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A quality control method and meteorological data technology, applied in data processing applications, complex mathematical operations, forecasting, etc., can solve problems such as increasing equipment costs and expensive sensors
Inactive Publication Date: 2018-10-02
深圳市赑玄阁科技有限公司
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Problems solved by technology
High-precision MEMS can solve the data drift phenomenon to a certain extent, but such sensors are expensive, which will significantly increase the cost of equipment, and bring many practical difficulties to the popularization and application of meteorological environment observation systems that require a large number of deployment observation nodes
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Embodiment 1
[0082] see figure 1 , the meteorological data quality control method 10 provided by the present invention comprises the following steps:
[0083] Step S110: Pre-judge the authenticity of the input observation data, if it is judged that the observation data is credible, end the processing; if it is judged that the observation data is not credible, directly proceed to the next step;
[0084] Step S120: training a regression prediction model from the historical data of the multi-observation nodes; and
[0085] Step S130: Obtain the correction value of the observation node according to the regression prediction model.
[0086] It can be understood that if the input data x' of a meteorological element observation at the current moment is empty, the data authenticity prediction process is skipped and step S120 is directly executed.
[0087] The specific implementation of the above steps will be described in detail below.
[0088] see figure 2 , is step S110, a flow chart of ste...
Embodiment 2
[0145] see image 3 , the meteorological data quality control system 20 provided by the present invention includes: a judging module 110 , a training module 120 and a correction module 130 .
[0146] The judging module 110 is used to predict the authenticity of the input observation data, if it is judged that the observation data is credible, end the processing; if it is judged that the observation data is not credible, directly open the training module 120;
[0147]The training module 120 is used to train the regression prediction model on the historical data of the multi-observation node; and
[0148] The correction module 130 is configured to obtain the correction value of the observation node according to the regression prediction model.
[0149] It can be understood that if the input data x' observed by a certain meteorological element is empty at the current moment, the data authenticity prediction process is skipped and the training module 120 is directly started.
[...
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Abstract
The invention provides a meteorological-data quality control method and system. Authenticity pre-judgment is carried out on input observation data, and processing ends if it is judged that the observation data are credible; and a regression prediction model is trained by historical data of multiple observation nodes, and correction values of the observation nodes are obtained according to the regression prediction model. According to the meteorological-data quality control method and system provided by the invention, the multiple sets of observation data of distributed observation nodes are utilized for quality control of the data and correction of the abnormal values, effective data quality control can be carried out for a multi-node regionally-distributed meteorological monitoring network, improvement of reliability of the environment data collected by the observation nodes using low-cost sensors is facilitated, and then accuracy of subsequent prediction and analysis results of the meteorological monitoring network is improved.
Description
technical field [0001] The present invention relates to the technical field of meteorological prediction, in particular to a method and system for controlling the quality of meteorological data. Background technique [0002] With the continuous development of social economy, the impact of meteorological environment on people's daily life is gradually expanding. Meteorological environment is not only related to human production and life, but also closely related to human health. With the development of MEMS technology, automatic meteorological devices are gradually integrated and miniaturized, and the number of distribution is increasing, and the application range is wider and wider. Nowadays, automatic meteorological monitoring devices are not only widely used in meteorological departments, but also in some Small-scale and regional observation scenarios such as industrial sites and agricultural production required for meteorological monitoring have been promoted and used, a...
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