Open AccessDevelopment and Application of Integrated Meteorological Observation Online Monitoring in “One Diagram”
Author(s) -
Qinqiang Zhou,
Yanzhong Liu,
AO Zhen-lang,
Jianyong Li
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/668/1/012020
Subject(s) - block diagram , computer science , diagram , real time computing , fault (geology) , alarm , state diagram , system context diagram , automation , embedded system , state (computer science) , engineering , algorithm , database , electrical engineering , mechanical engineering , seismology , geology
The efficient automatic and intelligent real-time monitoring means have not been fully established after the reform of unmanned ground meteorological observation automation, and the monitoring systems of various observation device are isolated from each other, which makes it impossible to efficiently take an overall view for the running and data transmission state of the ground meteorological observation stations. The integrated meteorological observation online monitoring in “one diagram” for nearly 3000 meteorological devices in 15 categories is designed. The status of software or hardware, network faults of the meteorological devices is displayed by the color code in “one diagram” and the alarm of 3D virtual model components is updated simultaneously, and displayed automatically in the “one diagram” according to the fault level. It is interactively associated with a 3D virtual visual monitoring system based on C/S with one diagram B/S page being embedded, the faults tips of automatic positioning in the 3D virtual model are directly associated and displayed from the 3D virtual visual online monitoring system, with one click on the color block of the fault station in “one diagram”. So “macro-level” monitoring from “one diagram” device layout, category, fault number, and alarm status to “micro-level” correlation of virtual model fault details is established, by which what you think is what you see, meeting the demand of on-line monitoring of integrated meteorological observation stations from “one diagram” to “the whole system”.