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Emergency rescue scheduling method and system based on video stream comprehensive application

A technology for emergency rescue and dispatching methods, which is used in closed-circuit television systems, data processing applications, digital video signal modification, etc. to improve rescue capabilities and reduce delay effects.

Pending Publication Date: 2022-04-22
SHANDONG EVAYINFO TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the shortcomings of the existing technology, the present invention provides an emergency rescue scheduling method and system based on the comprehensive application of video streams, which solves the problem of remote command and scheduling of emergency rescue, and realizes the whole process monitoring of the rescue process

Method used

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  • Emergency rescue scheduling method and system based on video stream comprehensive application
  • Emergency rescue scheduling method and system based on video stream comprehensive application
  • Emergency rescue scheduling method and system based on video stream comprehensive application

Examples

Experimental program
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Effect test

Embodiment 1

[0046] Such as figure 1 As shown, Embodiment 1 of the present invention provides an emergency rescue dispatching method based on video stream comprehensive application, including the following process:

[0047] Step 1: Obtain the video captured by the video device in real time;

[0048] Step 2: Obtain the data collected by the sensor device in real time;

[0049] Step 3: Perform fusion encoding of multiple video stream data and sensor data;

[0050] Specifically, the video device is connected to the Alibaba Cloud IoT platform based on the Link SDK provided by the Alibaba Cloud IoT video service; the sensor device establishes a long connection with the Alibaba Cloud IoT platform through the MQTT protocol, and publishes Topic and Payload reports through Publish The data is sent to the Alibaba Cloud IoT platform. After the data is connected to the Alibaba Cloud IoT platform, the platform can automatically perform unified fusion coding processing on the data. Developers only nee...

Embodiment 2

[0069] Embodiment 2 of the present invention provides an emergency rescue dispatching system based on comprehensive application of video streams, including:

[0070] The data acquisition module is configured to: acquire video data and sensory data of the rescue scene;

[0071] The fusion coding module is configured to: perform fusion coding on the acquired video data and sensing data;

[0072] The data transcoding module is configured to: perform low-latency transcoding on the fusion-encoded data stream;

[0073] The diffusion range generation module is configured to: obtain the pollutant diffusion range according to the pollutant data in the sensing data and the preset diffusion model;

[0074] The warning fence generation module is configured to: generate the UAV video electronic warning fence range according to the pollutant diffusion range;

[0075] The dispatching strategy generation module is configured to: generate an emergency rescue dispatching strategy at least acc...

Embodiment 3

[0087] Embodiment 3 of the present invention provides a computer-readable storage medium, on which a program is stored. When the program is executed by a processor, the emergency rescue dispatching method based on video stream comprehensive application as described in Embodiment 1 of the present invention is implemented. Steps, the specific steps are:

[0088] Step 1: Obtain the video captured by the video device in real time;

[0089] Step 2: Obtain the data collected by the sensor device in real time;

[0090] Step 3: Perform fusion encoding of multiple video stream data and sensor data;

[0091] Step 4: Perform low-latency transcoding based on the RTS protocol for the fused encoded data stream;

[0092] Step 5: Input the pollutant data into the diffusion model, and output the pollutant diffusion range and the corresponding emergency plan;

[0093] Step 6: Transmit to the UAV according to the predicted diffusion range, and generate a video electronic warning fence;

[00...

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Abstract

The invention provides an emergency rescue scheduling method and system based on video stream comprehensive application. The method comprises the following steps: acquiring video data and sensing data of a rescue scene; carrying out fusion coding on the acquired video data and sensing data; performing low-delay transcoding on the data stream after fusion coding; obtaining a pollutant diffusion range according to pollutant data in the sensing data and a preset diffusion model; generating an unmanned aerial vehicle video electronic warning fence range according to the pollutant diffusion range; generating an emergency rescue scheduling strategy at least according to the transcoded fusion data and the electronic warning fence range; according to the invention, the problem of remote commanding and dispatching of emergency rescue is solved, and the whole-flow monitoring of the rescue process is realized.

Description

technical field [0001] The invention relates to the technical field of emergency rescue dispatching, in particular to an emergency rescue dispatching method and system based on comprehensive application of video streams. Background technique [0002] The statements in this section merely provide background art related to the present invention and do not necessarily constitute prior art. [0003] Based on traditional safety accident drills, after a safety "accident" occurs, the drill is often carried out step by step according to the links pre-arranged by the director team. [0004] However, the inventor found that the actual situation is very complicated. Rescue missions cannot be successfully completed only by relying on the rescue forces in the park, and the guidance and dispatch of external rescue experts are needed. It is a special period, and the restriction of personnel flow also has a certain impact on rescue, and Rescue experts in different places cannot intuitively...

Claims

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Application Information

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IPC IPC(8): H04N19/46H04N19/40H04N7/18H04N7/08G01D21/02G06Q10/06
CPCH04N19/46H04N19/40H04N7/181H04N7/08G01D21/02G06Q10/06313G06Q10/063118
Inventor 曹龙吴士伟闫学君徐宝全付春光徐瑶
Owner SHANDONG EVAYINFO TECH CO LTD
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