| As the basic unit of emergency management system and society,community is the "first perception site" of various public emergencies,and is at the forefront of public opinion early warning,prevention and response to public emergencies.In recent years,community construction has achieved rapid development by relying on new-generation intelligent communication technologies such as 5G,AI,and the Internet of Things,and has completed the innovative transformation from traditional communities to digital communities to smart communities.Since 2010,pilot construction of smart communities has been launched in various parts of my country.As a key link in the construction of smart cities,smart communities will inevitably become the focus of future informatization development.It can be seen that starting from the grass-roots community and studying the public opinion early warning mechanism for public emergencies in smart communities can help deepen my country’s emergency management system and capacity building to a certain extent.This paper takes "Lanzhou Morning News"-the "in community" of the handheld Lanzhou client-side smart community as an example,relying on classic theories such as crisis management theory,public governance theory,agenda setting theory,etc.,through literature research,questionnaire surveys and in-depth interviews,to discuss Lanzhou During the special time period of the outbreak of the new crown pneumonia epidemic,the basic workflow and operation of the public opinion early warning mechanism for public emergencies in smart communities that are still in the construction stage.The study found that in the face of sudden public events,the public opinion early warning mechanism of smart community "in community" has problems such as lack of professionalism in early warning risk research and judgment,lack of systematic organization of public opinion monitoring,difficulty in information sharing and communication,and lack of review and reflection on early warning issues.Based on the analysis of literature and field survey data,it is concluded that the main reasons for the above problems are the immature public opinion monitoring and early warning technology,the insufficient allocation of public opinion early warning forces,the imperfect information sharing network,and the non-standard emergency reporting mechanism.In response to the problems and causes,the countermeasures and suggestions put forward in this paper include strengthening the construction of the public opinion monitoring mechanism in the smart community,strengthening the construction of public opinion early warning support in the smart community,improving the top-level design and optimizing the overall layout,and optimizing the emergency reporting mechanism in the smart community. |