the city's hazardous chemicals supervision realizes "one item, one code" full traceability
2024-09-08
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the city has achieved good results in promoting the modernization of emergency management through informatization, extending safety risk prevention from "post-event disposal" to "pre-event prevention", realizing full-chain supervision of hazardous chemicals, and building a "one item, one code" full-process traceability system. on september 6, the municipal cppcc held a special consultation meeting to report on the previous research.
from march to august this year, the municipal cppcc research group conducted a supervisory research on "strengthening smart emergency construction and improving urban emergency management capabilities" and formed a research report. at the special consultation meeting, members and experts focused on improving monitoring and early warning capabilities, strengthening data sharing, and other suggestions to help improve the capital's urban emergency management capabilities.
as a new production factor, data is becoming increasingly important in all aspects of smart emergency response. huang xiaobin, a member of the municipal cppcc, believes that emergency management requires data support in multiple fields such as emergency response, meteorology, water affairs, gardening, transportation, and urban operations, involving many related departments and a wide range of areas. at present, the information system construction units and construction time of various departments are different, and the standards and interfaces for real-time data interaction are not unified, which makes practical docking difficult.
he suggested establishing a multi-source data sharing mechanism to promote multiple data empowerment. citizens should be encouraged to proactively report emergency information, and each citizen's mobile terminal should be made a risk perception monitoring point. through policy support and financial subsidies, enterprises should be guided to actively participate in data sharing and become data sources in key areas such as safe production and hazardous chemicals management. the scope and intensity of public data opening to enterprises should be increased to fully unleash the technological innovation capabilities of enterprises and empower the digital level of emergency services.
in response to the problem of insufficient comprehensive risk warning capabilities discovered in the survey, members and experts put forward opinions and suggestions.
"the current early warning assessments are mainly based on a single type of disaster, and the early warning information in various professional fields is discrete and lacks correlation." municipal cppcc member bai lin suggested using ai big models to integrate data from multiple types of disasters, build a disaster chain model, strengthen data analysis, and conduct comprehensive predictions based on the laws of spatiotemporal evolution to establish a collaborative early warning platform across professional fields.
sun liang, an expert of the research team and a member of the shunyi district cppcc, focused on building a safe line of defense for flood control in the capital, and proposed that the flood control forecasting system should be improved, the capacity for rain monitoring and forecasting should be continuously strengthened, and multi-source data such as satellite remote sensing, digital elevation model (dem), and site monitoring should be integrated to further improve the accuracy and predictability of flood forecasting. a sound early warning response linkage mechanism should be established to release targeted flood and mountain torrent disaster risk warnings and defense reminder information directly to flood control responsible persons and the public, so as to achieve "timely release of early warning information, comprehensive coverage of early warning targets, and direct early warning instructions to the front line."
yang saini, an expert from the research team and professor at the school of national security and emergency management of beijing normal university, believes that while enhancing early warning capabilities, the early warning and forecasting model should also be changed from simply predicting the trends of natural elements to analyzing the specific impacts of disasters on different objects, and giving possible impacts on different objects based on the type of disaster, characteristics of the affected area, characteristics of the object type, etc., to improve the pertinence and practicality of early warning and forecasting information.
