Precipitation phenomenon instrument software quality control method and system

A software quality control and phenomenon technology, applied in the fields of instruments, special data processing applications, electrical digital data processing, etc., can solve problems such as the inability to truly and completely reflect the precipitation process, the lack of clear definitions, and false alarms.

Inactive Publication Date: 2019-08-02
CMA METEOROLOGICAL OBSERVATION CENT
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Problems solved by technology

[0007] Limitations: The relevant definitions of the above precipitation types in operational observations mainly refer to the definitions of manual observations, and there is no clear definition of the identification standards for instrumental observations (ie: automatic observations), resulting in large discrepancies between instrumental and manual identification when precipitation occurs difference
[0012] The limitations of the precipitation phenomenon instrument are: (the low accuracy of precipitation phenomenon identification is mainly manifested in the difference between the precipitation type results output by the instrument and the manual observation results, and the identification of precipitation phenomena at various stations across the country due to different hardware technologies and precipitation type identification standards The effect is mixed) The precipitation phenomeno...

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  • Precipitation phenomenon instrument software quality control method and system
  • Precipitation phenomenon instrument software quality control method and system
  • Precipitation phenomenon instrument software quality control method and system

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Embodiment 1

[0117] Randomly select 3 to 5 stations, which belong to five provinces of Liaoning, Shandong, Anhui, Yunnan and Hainan, and conduct quality control algorithm input verification for 5 precipitation phenomena and non-precipitation phenomena respectively, and count the quality control precipitation types and artificial Record the consistency rate of the results, and then compare and analyze the consistency rate of the results of the uncontrolled instrument precipitation type and the artificial precipitation type to test the improvement effect of the algorithm.

[0118] Considering the current deployment of station equipment, the improved part is mainly verified by manual observation and comparison records. In the manual observation verification, the historical data is used to compare the minute data in terms of recognition accuracy and improvement rate. Among them, the recognition accuracy rate is defined as the consistency between the number of minutes of precipitation types cor...

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Abstract

The invention discloses a precipitation phenomenon instrument software quality control method. The method comprises the following steps: establishing a discrimination model according to observation data of 20 stations capable of representing rainfall conditions in the north and south of 9 provinces and cities; receiving original data; judging data; correcting abnormal data; outputting correction data. The invention also discloses a precipitation phenomenon instrument software quality control system. The system comprises a global control unit; a peripheral communication unit; a data acquisitionunit; a data management unit; a data determination unit; a model library; a statistical analysis and evaluation unit; and a data output unit. By means of the method and system, rainfall types of allplaces can be objectively fed back, false alarms and false alarms are removed to a certain degree through the rainfall phenomenon instrument after quality control, the recognition accuracy is improved, and the workload of manual intervention or correction is reduced.

Description

technical field [0001] The invention belongs to the fields of meteorological detection and surface meteorological observation, and in particular relates to a software quality control method and system for a precipitation phenomenology instrument. Background technique [0002] 1) Overview: [0003] At present, most provinces (autonomous regions and municipalities directly under the Central Government) across the country are carrying out parallel observations of precipitation weather phenomena. After one year of parallel observation, the automatic observation results will be used as the official observation record. The artificially observed weather phenomena need to be continuously observed during the day, and should be judged and recorded as much as possible at night. [0004] During the parallel observation period, the types of precipitation phenomena observed by manual observation and automatic observation are as follows: [0005] Manual observation: 8 types of drizzle, ...

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Application Information

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IPC IPC(8): G06F16/21G06F16/215G06F16/2458
CPCG06F16/212G06F16/215G06F16/2462
Inventor 张鑫杜波李昌兴雷勇邵楠严国威
Owner CMA METEOROLOGICAL OBSERVATION CENT
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