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Disaster scene situational awareness and command rescue platform

Disaster scene situational awareness and command rescue platform

  • Categories:Solution
  • Author:
  • Origin:
  • Time of issue:2025-01-04
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(Summary description)Under the emergency management system of "unified command, both specialized and regular, responsive, up-down linkage, and combination of peace and war",

Disaster scene situational awareness and command rescue platform

(Summary description)Under the emergency management system of "unified command, both specialized and regular, responsive, up-down linkage, and combination of peace and war",

  • Categories:Solution
  • Author:
  • Origin:
  • Time of issue:2025-01-04
  • Views:0
Information

Scheme overview

       Under the emergency management system of "unified command, both specialized and regular, responsive, up-down linkage, and combination of peace and war", China is implementing an emergency management mechanism with characteristics of the new era, including an emergency plan system, an emergency command system, an emergency response system, a rescue force system, and a comprehensive disaster reduction work system. Among them, the emergency command system clarifies the risk and hidden danger information in the field of natural disasters and the emergency basic information such as various disaster events, which is an important support for the prevention and disposal of disaster events and the improvement of emergency rescue capabilities.

       To sum up, in order to effectively implement various measures of emergency rescue and build a solid safety line, our company aims to improve the scientific and intelligent level of emergency management, achieve accurate disaster risk prevention and control capabilities, and build disaster scene situational awareness, risk early warning and accident monitoring. Construction of disaster scene situational awareness and intelligent rescue assisted decision-making system to achieve scientific and accurate rescue, in order to adapt to increasingly complex and changeable risks and challenges, to ensure people's happy life and sustainable development of society.

 

 

Solution

       Our company is committed to building a "mobile sensor forest" covering the whole field, gathering rescue site monitoring information and disaster site rescue information to form an information network covering the whole field of disaster site, and building a disaster scene situational awareness and intelligent rescue auxiliary decision system for the whole process of "overall assessment - command and decision - on-site rescue" based on data center resources.

 

Pre-disaster monitoring

       Based on the "mobile sensor forest", event monitoring and early warning are carried out for all emergency scenarios at the disaster site, data is fully accessed, prediction and modeling of various disaster scenarios are carried out based on artificial intelligence technology, and full-link supervision of "monitoring, collection, analysis, modeling and early warning" is constructed in advance.

 

Disaster site rescue capability assessment

       Through the integration of existing data resources, the number of rescue teams, the number of rescue vehicles, drones and other facilities at the disaster site can be grasped in real time, as well as the number of on-site resettlement materials. Through the analysis of the ability attributes of rescue personnel and vehicles, the evaluation and display of rescue forces at the disaster site are realized, including medical rescue forces, flood relief forces, engineering rescue forces, communication command forces, material transport forces, personnel transport forces. The rescue command center can analyze whether the existing rescue forces meet the disaster relief requirements and coordinate and supplement the rescue forces in time according to the type of disaster and the prediction of the occurrence of on-site disaster events.

 

Disaster site assessment

       According to the data resources, it is clear about the current disaster type, disaster scope, number of victims, casualties, disaster events, risks and hazards, hazard sources, etc. At the same time, it is necessary to grasp the meteorological and terrain conditions of the disaster site, and generally assess the impact of climate, topography, water and other environmental factors on the development trend of the disaster.

 

Full awareness of disaster site

       With the rescue vehicle as the sensing terminal, the sensing network covering the whole range of the disaster site can be formed. Based on the Internet of Things and big data technology, the impact factors such as climate information, toxic and flammable gas information, underwater environment identification information, road condition identification information and video picture information collected by rescue vehicles that affect the development trend of the scene disaster are gathered and analyzed to form a full-scope, all-factor and all-intelligent disaster scene perception system to achieve "comprehensive perception and overall planning".

 

Disaster site risk control

       Big data analysis and artificial intelligence algorithm technology are used to build a disaster site perception data risk identification and early warning system with "people, vehicles and objects" as management objects and disaster events as monitoring objects, and real-time monitoring of the current disaster event development and rescue situation.

       Human: personnel evacuation and transfer risk prediction, personnel trapped risk alarm, personnel search and rescue monitoring;

       Vehicle: vehicle positioning range risk warning, vehicle travel danger warning, vehicle rescue process assistance;

       Material: Real-time monitoring of the type, quantity, distribution and consumption of on-site relief materials, combined with the current disaster situation and prediction results, to predict the demand for materials.

On the basis of the control of "people, vehicles and things", the disaster events at the disaster site are predicted and monitored. On the one hand, through the prediction model, the risk and hidden danger events such as the over-flood limit water level of rivers and reservoirs, water points and breaches are predicted. On the one hand, through the perception information analysis and video algorithm analysis technology, the road blocking, underwater obstacles and other events of the disaster site are warned, and on the other hand, the flood and debris flow and other disaster events are monitored.

 

Emergency investigation, command and decision

       Gather meteorological information, gas detection information, disaster site video information and other data resources collected by vehicles to build a global overview analysis diagram of the "4+3+3" mode of disaster site command, 4 refers to the "water situation, flood situation, danger situation and disaster situation" 4 situation supervision system. Realize real-time perception of water situation at disaster site, intelligent monitoring of flood situation, accurate prediction of danger and disaster dispatching and command; 3 refers to the distribution map of on-site disaster rescue capabilities, which intelligently evaluates on-site disaster rescue support capabilities, rescue and disaster relief capabilities and communication support capabilities to provide a decision-making basis for rescue force dispatching; 3 refers to the platform to build a water and air trinity disaster site monitoring mode, all-round protection of rescue work. Based on the interactive superposition analysis of each analysis layer, combined with the model algorithm and video algorithm, it provides support for the research and judgment of the emergency command center, predicts the impact scope of disaster events, possible hidden points of secondary disasters, approves the personnel and disaster avoidance places in the areas to be transferred, and rapidly allocates emergency resources based on the distribution of rescue capabilities such as rescue vehicles, teams and materials around. Determine the best scheduling plan and rescue route, and achieve unified emergency command scheduling, online linkage, horizontal coordination, and intelligent precision.

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