Utilizing technologies involving geographic information, aerial photography and remote sensing, virtual reality, digital twins, big data, cloud computing, Internet of Things, and 5G networks, the “One-Map Smart Emergency Management” project integrates information about risk sources and disaster prevention and management of all industries in Wenzhou city, implements data association and integration, builds space-time big data standardized database, and creates One Map of Smart Emergency Management.
This project covers typhoon storms, mountain reservoirs, flood disasters, geological disasters, as well as production and business, road traffic, marine fishery ships, city gas, etc., and has initially formed the "air-space-ground-sea integrated, departmental data integrated, 2D and 3D integrated, early warning and decision-making integrated" database and emergency management data center, greatly improving the ability of forecasting, early warning and command rescue.
1. Online data perception throughout the whole process, an overview of risks on One Map
• Gathering of risk sources
The project integrates risk sources and disaster reduction and relief information resources of various departments in Wenzhou City, gathers data, cross-validates each other, and establishes a large database. At present, 23 city-level departments including emergency response, big data, resource planning, water conservancy, meteorology, transportation, public security, and housing construction have been integrated, as well as 4 provincial departments including the Provincial Emergency Management Department, Provincial Water Resources Department, Provincial Meteorological Bureau, and Provincial Natural Resources Department. The space-time database of more than 65,000 items of risk source information in 13 categories has been created. More than 35,000 IoT real-time perception data in 15 categories have been connected to departments such as meteorology, water conservancy, agriculture and rural areas, transportation, tourism, public utilities, and public security.
• Integration of disaster relief resources
Through docking with emergency resource reserves and management departments such as emergency response, food, fire protection, public security, health care, transportation, and civil affairs, the project has completed the data collection of more than 200 types of disaster reduction and relief resources, including emergency experts, emergency teams, emergency supplies, and rescue equipment. A large database of “disaster prevention, mitigation, and relief” and “one map” of emergency resources have been preliminarily constructed. Through spatial analysis technology, the nearby key defense and protection objects and surrounding disaster relief resources can be quickly queried, and real-time and dynamic display and specific analysis of rescue command and dispatch data information can be achieved.
• Develop “situational awareness”
Combining historical natural disaster data, research and establishing algorithm models and influencing factors, the project builds a three-dimensional forecast and early warning system, through the analysis of rain regime, water regime (reservoirs, river channels), satellite cloud images, weather radar, rainfall distribution, weather conditions, typhoon information, cumulative Real-time IoT data, alarm and early warning information, and intelligent perception of risk situation in key areas such as water, fishing boats, and passenger flow in scenic spots, provide daily supervision for emergency management, prediction and early warning of abnormal situations, the whole process of emergency rescue and disposal, and comprehensive post-disaster evaluation with timely, accurate and efficient perception information.
2. Show risks on “One Map” to assist intelligent management and control
• Identification Assessment Grading
In the project, 6,923 key risks in 5 types of pilot areas, including hazardous chemical enterprises, industrial and trade enterprises above designated size, non-coal mines, fireworks and firecrackers businesses, and densely populated places (schools and nursing homes), were evaluated with different colors, and each risk was recorded in detail. The basic information of risk sources, business status, risk level, responsible person, production equipment list, historical accident situation, risk management and other information, combined with the monitoring and perception of the real-time status of the Internet of Things, etc., establish a list of risk portraits to assist in hierarchical management and control of risks.
•“Fusion” for quick command
I. Through the integration of emergency equipment such as video conferencing, video surveillance, individual image transmission, 4G law enforcement equipment, digital trunking, and Beidou active terminals, real-time dynamic location information and movement tracks (assembly, en route, and arrival), the project can grasp the information about real and reliable rescue progress in real time.
II. The project realizes the integration of various terminal equipment locations, closely related to scheduling objects, disaster-affected places and emergency scenes, achieving the integration of visual fusion command and dispatch system and “one map” of smart emergency.
III. Command centers at all levels, rescue teams and rescue sites can carry out two-way voice communication through the platform, which can realize emergency arrival at the scene within 30 minutes after the incident, and real-time video transmission to the large screen of the command center, achieving the linkage of command and dispatch, horizontal collaboration, and fast access.
• Precise risk management and control
The project deeply integrates the visual command and dispatch system and the intelligent emergency "one map" platform, bringing together risk situation, disaster reduction and relief capabilities, safety supervision and law enforcement, monitoring and early warning, on-duty, analysis and judgment, intelligent pre-plan, command and dispatch and other functions in the comprehensive command "One screen”. It achieves full coverage of different stages of operation such as pre-safety risk prevention, incident research and judgment, emergency rescue, post-event analysis, horizontal cross-department and cross-field collaboration, and integrated co-construction and shared functions at the city and county levels, with precise decision-making, command and rescue, gradually build an intelligent and scientific emergency management and command rescue system.
3. Global aggregation of emergency resources
• City-level unified construction, county-level innovation
Based on the unified platform at the municipal level, given the differences in economic development, industrial structure and natural environment of counties (cities, districts), the platform adopts differentiated management and control measures in key areas of risk management and control. For example, Yongjia County has added a small watershed flood control and typhoon prevention command auxiliary system in combination with the characteristics of being vulnerable to small watershed mountain torrents and geological disasters.
• Data fusion, breaking down silos
In order to solve the problems of risk sources and information sources at all levels and departments of the city, such as "inconsistent data standards and specifications" and ensure the uniqueness, standardization, and timeliness and sharing of cross-departmental data, give full play to the overall planning and coordination functions of the Wenzhou Municipal Emergency Management Bureau, and cooperate with the big data bureau to unify the data export to ensure “one count, one source", and ensure effective data sharing and application maximization value by signing "confidentiality agreement" and "co-construction and sharing agreement". At the same time, multiple departments jointly formulate data standards and data update mechanisms for smart emergency "one map" to ensure real-time (or regular) update of data online and offline, and unify it on "one map" for visual management.