New progress is taken on the analysis and response of the Northern Academy of Sciences in unfavorable weather influence and response

Large -scale ice and snow competition activities are greatly affected by the weather. The low temperature of the opening ceremony of the 2018 Pingchang Winter Olympics allows netizens to call the Pingchang "freezing" Olympic Games. During the competition, there are 4 days, because of bad weather such as wind, low temperature, low visibility and other bad weather The reason was suspended and extended the event. The previous Winter Olympics and some other large ice and snow events have always had reports of reports that affect the competition and even cause serious damage and accidents. The large -scale ice and snow competition activities are organized and operated in large scale, complex environment, and have typical multi -field and multi -level characteristics. The disaster effect and path of influence are the key issues of scientific analysis and response to adverse weather risks. In response to the needs of the 2022 Beijing Winter Olympic Games operation guarantee, scientific researchers of the Institute of Urban System Engineering of our hospital use the time and space constructing model to establish a model of situation perception and multi -level scenarios to build a model to support the Winter Olympics operating trend perception and guarantee system. Research and development, during the testing and formal competitions, realized the adverse weather impact and decision analysis of dynamic perception data and field knowledge -driven, and provided scientific decision -making support for the operation guarantee of the Winter Olympics Organization Committee.

Figure 1 Scenario analysis and construction flow chart

Traditionally, for the massive data of polygonal heterogeneous, more data mining analysis is used for correlation identification and causal inference. Knowledge requirements are relatively high, and it is difficult to apply in fact. With the development of semantic modeling technologies such as ontology theory and knowledge maps, the semantic integration of heterogeneous data can be performed in multiple fields, thereby providing intelligent reasoning support for problems solving, and realizing dynamic, refined risk identification and influence decision -making.

With the support of the National Science and Technology Winter Olympics, the support of our college's talent project, independent projects and other projects, after continued efforts, a dynamic risk analysis and decision -making method for the meteorological analysis of large ice and snow events. The event chain indicates that the use of time and space constructing models and scenarios to build technology has achieved the semantic representation of the perception information of large -scale ice and snow events, and built an interactive scenario deduction and decision -making analysis system. Command provides decision support.

Figure 2 Analysis of Meteorological Dynamic Risk Management Case Analysis of the Winter Olympics

The team carried out case analysis of the 2022 Beijing Winter Olympics, and carried out multi -field perception and multi -level scenario construction of the environment, meteorological conditions, venue venues, event activities, and command operations. Library, through the anomalies simulation and empirical data analysis, the proposed method was validated. Experiments show that the method has better reappeared the meteorological impact and response process during the period of the Winter Olympics. The results of the work have been affirmed and thanked by the Winter Olympics Organizing Committee.

Figure 3 Ministry of Science and Technology and the Leading Team of the Winter Olympics

Related research results provide support services for the influence and decision -making of the Winter Olympics. Published 4 papers, thanked the Ministry of Science and Technology and the Winter Olympic Leading Group for thanking a letter to submit 1 invention patent application. This result can also be promoted to other urban safety risk management fields. In the next step, the research team will further combine urban safety operation projects, deepen the results of safety knowledge maps and scenario deductive technical research results, and promote and apply it in risk assessment and smart emergency in the field of smart security cities to achieve wider social and economic benefits.

(Institute of Urban System Engineering Institute/Picture)

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