Application of LiteCVR video technology in natural disaster intelligent supervision and early warning scenarios

1. Program background

Our country is a country prone to natural disasters, and summer is a period of frequent disasters. During this period, natural disasters such as flash floods, mudslides, floods, hail, hurricanes, and earthquakes rage like wild beasts, causing huge trauma to the national economy every year. Faced with this severe challenge, it is urgent to build a natural disaster risk early warning video surveillance system.
 

2. Plan introduction

Based on the powerful video processing capabilities of the LiteCVR video cloud platform, we combine cutting-edge technologies such as 5G, AI, IoT, big data, cloud computing and Internet communications to build an advanced natural disaster monitoring and early warning service system. This system aims to realize functions such as daily monitoring of natural disasters, real-time disaster monitoring, and disaster event retrieval, thereby comprehensively improving the capabilities of meteorological disaster early warning, response, and prevention.



The efficient video processing technology of the LiteCVR platform provides us with powerful data analysis and processing capabilities. Combined with 5G's high-speed network transmission, we can obtain and process a large amount of monitoring data in real time to ensure the timeliness and accuracy of early warning information. The introduction of AI technology allows us to conduct intelligent analysis of monitoring data, accurately identify the possibility of disasters, and issue early warnings in a timely manner.

Internet of Things technology allows us to connect various sensors, cameras and other equipment to our systems to achieve real-time monitoring of disaster sites. At the same time, big data technology helps us store and analyze massive monitoring data, dig out valuable information, and provide scientific basis for disaster warning and prevention.

The combination of cloud computing and Internet communication technology gives our service system powerful data processing and storage capabilities, while ensuring the timely delivery of information. Through this service system, we can achieve comprehensive monitoring and early warning of natural disasters, effectively improve the prevention and control capabilities of meteorological disasters, and make positive contributions to ensuring the safety of people's lives and property.
 

3. Functional features

1. Video aggregation and high-definition monitoring platform

LiteCVR can be connected to many types of equipment, including mobile individual soldiers, emergency control balls, handheld smart terminals, drones, etc. These equipment can provide excellent technical support for the construction of sudden natural disaster early warning and monitoring systems, thereby establishing command A unified, fully functional, responsive and efficient emergency response mechanism for natural disasters. Based on the video images transmitted by front-end equipment, it can visually monitor key areas such as mountainous areas, lakes, reservoirs, and forests, meeting the needs of emergency command center personnel for real-time data monitoring and scientific prediction and early warning.

LiteCVR supports lightweight access and video aggregation management of massive front-end devices, supports 720P/1080P/4K high-definition quality real-time viewing of surveillance videos, and the video supports multi-screen display (1, 4, 9, 16), which can be switched at will. Regular patrol playback enables visual remote monitoring of disaster-prone areas.

2. Cloud recording, retrieval and playback

It provides management functions such as recording, retrieval, playback, and storage, supports 7*24h recording, and can accurately control video playback through the timeline, enabling the tracing and retrieval of video data on-site in disaster-prone areas.

3. Centralized management and operation of equipment

It supports centralized and unified management of connected devices, greatly improving management efficiency and scheduling capabilities. It also provides support for the stable operation of monitoring equipment and timely response to fault alarms (such as network interruption alarms and video loss alarms).

4. Open interface and easy integration

Provide application interfaces to support secondary development. Video surveillance functions can be integrated into natural disaster emergency comprehensive management platforms, big data management platforms, and intelligent video structured platforms to achieve comprehensive management and coordinated command of various scene services.

5. AI intelligent identification and detection

It supports deep integration of AI intelligent identification, intelligent research and judgment and other algorithm applications, conducts AI intelligent identification analysis based on specific business needs, and provides intelligent auxiliary decision-making support for natural disaster emergency rescue through AI empowerment.

6. Platform cascading

The platform can be connected with upper- and lower-level monitoring platforms, open corresponding video calling and management permissions, and support data interoperability at all levels. On the one hand, it can open up internal data flows and break the "information island" dilemma, and on the other hand, it can also satisfy multiple supervision Collaborative supervision, data sharing, information interconnection and other needs of units.

4. Scene monitoring

1. Meteorological disaster monitoring

Real-time visual monitoring of meteorological parameters such as rainfall, wind speed, wind direction, temperature, humidity, lightning, and typhoon paths, and visual warnings of extreme weather such as heavy rains and high temperatures, assisting managers to grasp the meteorological environment situation and improve emergency response efficiency.

2. Forest fire monitoring

Based on the GIS positioning system, the location, distribution, and area of ​​key fire protection areas such as forests, pastures, and mountainous areas are visually monitored, and meteorological parameters such as forest and grassland fire danger conditions, atmospheric temperature and humidity, precipitation, wind direction, and wind speed are monitored in real time and provide fire protection information. The identification and alarm function turns passive response into active early warning, improving the efficiency of fire hazard response and handling by managers.

3. Flood and drought disaster monitoring

Supports the integration of flood control and drought relief meteorological systems and water level monitoring systems to conduct real-time monitoring and visual analysis of weather, precipitation, water levels of rivers, lakes, and reservoirs, reservoir water storage, total storage capacity, incoming flow, outgoing flow and other factors, providing Provide visual early warning for flood control, drought relief, and flood risk.

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Origin blog.csdn.net/LiteMedia/article/details/135273018