Search

CN-119996396-B - Remote rescue command dispatching system based on multi-network integration

CN119996396BCN 119996396 BCN119996396 BCN 119996396BCN-119996396-B

Abstract

The invention discloses a remote rescue command dispatching system based on multi-network integration, which comprises a traffic accident site sensing module, a multi-network integration communication module, an intelligent information processing module and a remote command dispatching module, wherein the traffic accident site sensing module is used for capturing videos, speed and position information of a monitoring site in real time and identifying and judging whether traffic accidents occur on the monitoring site, the multi-network integration communication module is used for integrating a communication network and ensuring that the monitoring site information is transmitted to the remote rescue command dispatching system in real time and stably, the communication network comprises a mobile communication network, a satellite communication network and a wired network, the intelligent information processing module is used for rapidly analyzing, processing and identifying received information and extracting key rescue information, and the remote command dispatching module is used for dispatching and commanding rescue resources according to the information provided by the traffic accident site sensing module and the intelligent information processing module.

Inventors

  • Huang guoda

Assignees

  • 无锡三通科技有限公司

Dates

Publication Date
20260505
Application Date
20250102

Claims (9)

  1. 1. The remote rescue command dispatching system based on multi-network integration is characterized by comprising a traffic accident site sensing module, a multi-network integration communication module, an intelligent information processing module and a remote command dispatching module, wherein the traffic accident site sensing module is used for capturing videos, speeds and position information of a monitoring site in real time and identifying and judging whether traffic accidents occur or not, the multi-network integration communication module is used for integrating a communication network and ensuring real-time and stable transmission of the monitoring site information to the remote rescue command dispatching system, the communication network comprises a mobile communication network, a satellite communication network and a wired network, the intelligent information processing module is used for rapidly analyzing, processing and identifying received information and extracting key rescue information, and the remote command dispatching module is used for dispatching and commanding rescue resources according to the information provided by the traffic accident site sensing module and the intelligent information processing module, and the traffic accident site sensing module, the intelligent information processing module and the remote command dispatching module are in communication connection through the multi-network integration communication module; the operation method of the traffic accident site perception module comprises the following steps: step S1, selecting a monitoring site to be deployed, deploying a camera module and a radar speed measuring unit, and respectively acquiring a picture of the monitoring site and the vehicle running speed of the monitoring site; Step S2, simultaneously acquiring a geographic position corresponding to a monitoring site and a time value corresponding to real-time acquisition data through a perception information acquisition submodule; step S3, identifying vehicles in a monitoring site picture, selecting frames of all the identified vehicles along the edge outline of the vehicle based on the view angle of the monitoring picture, measuring the speed of the vehicles entering the monitoring site by matching with a radar speed measuring unit, and displaying the speed measuring result on the right upper corner mark of the frame selected vehicle frame; Step S4, repeatedly operating the step S3, identifying the vehicles in each frame of the frame selection monitoring site in real time, and when the frame selection vehicle frames of the two vehicles are overlapped or the edges of the vehicle frames are connected, triggering the overlapped tracking module by an electric signal to start, and further tracking and identifying the frame selection vehicles with overlapped connection; Step S5, setting a tracking and identifying period T, when at least one of two selected vehicles in tracking and identifying is still on the monitoring site from the starting moment of the tracking and identifying to the period time T, turning to step S6 to continuously track and identify, otherwise, when the two selected vehicles in tracking and identifying are separated from the monitoring site picture from the starting moment of the tracking and identifying to the period time T, ending the tracking and identifying, and judging that the accident of the vehicle is not perceived by the comprehensive judging submodule; Step S6, for the tracked vehicles still on the monitoring site, respectively calculating the average speed of the tracked and identified frame-selected vehicles in the period T time And monitoring the current average speed of the traffic flow before the starting time Comparison of And When (when) When the traffic accident is judged and perceived by the comprehensive judging submodule, the perception signal of the monitoring site is transmitted to the remote rescue command dispatching system through the multi-network integration communication module.
  2. 2. The remote rescue command dispatching system based on multi-network integration according to claim 1, wherein the traffic accident site sensing module comprises a data acquisition module, a frame selection module, a coincidence tracking module and a comprehensive judgment submodule, wherein the data acquisition module is used for acquiring traffic road condition related data of a monitoring site, the data acquisition module is electrically connected with the frame selection module, the frame selection module is used for selecting the acquired vehicles in a frame manner, the frame selection module is electrically connected with the coincidence tracking module, the coincidence tracking module is used for further tracking and identifying the selected vehicles with the coincidence connection, and the comprehensive judgment submodule is used for comprehensively judging whether traffic accident happens to the sensing monitoring site; the data acquisition module further comprises a camera shooting module, a radar speed measurement unit and a perception information acquisition sub-module, wherein the camera shooting module is used for acquiring a monitoring site picture, the radar speed measurement unit is used for monitoring and acquiring the vehicle speed of a monitoring site, and the perception information acquisition sub-module is used for acquiring the geographic position of the monitoring site and the real-time of output information.
  3. 3. The remote rescue command and dispatch system based on multi-network integration as set forth in claim 1, wherein the intelligent information processing module comprises a collision casualty analysis module and a traffic accident scale judgment module, the collision casualty analysis module is used for analyzing the severity of casualties caused by collisions of two parties of a traffic accident, and the traffic accident scale judgment module is used for identifying and judging the total traffic accident scale caused by vehicle collisions occurring in a monitoring site.
  4. 4. The remote rescue command and dispatch system based on multi-network integration according to claim 1, wherein the remote command and dispatch module comprises a data receiving module, an emergency dispatch module and a flexible dispatch processing module, the data receiving module is used for receiving the perceived traffic accident site data and the processing data of the intelligent information processing module, the emergency dispatch module is electrically connected with the data receiving module, the emergency dispatch module is used for sending the medical resources of rescue to the perceived traffic accident site according to the received data, and the flexible dispatch processing module is used for receiving the continuous transmission information of the perceived traffic accident site, so that a worker can calibrate and check according to the continuous transmission information and flexibly dispatch the medical resources of rescue.
  5. 5. A remote rescue command and dispatch system based on multi-network convergence as set forth in claim 3, wherein the crash casualty analysis module further comprises a picture capturing submodule, a relative speed identifying submodule and a relative magnitude identifying submodule, wherein the picture capturing submodule is used for capturing pictures of collision contact moments between vehicles, the relative speed identifying submodule is used for identifying and capturing relative speeds between two vehicles at the collision moments, and the relative magnitude identifying submodule is used for identifying and capturing relative vehicle size levels between the two vehicles at the collision moments.
  6. 6. The remote rescue command and dispatch system based on multi-network integration as claimed in claim 3, wherein the operation method of the intelligent information processing module comprises the following steps: A1, after a remote rescue command dispatching system receives a traffic accident sensing signal of a traffic accident site sensing module, an electric signal controls an intelligent information processing module to start; step A2, firstly, taking a monitoring field picture, capturing two vehicle frame edge contact instant pictures, and respectively reading vehicle speed values displayed by upper right corner marks of two vehicle frames perceived to collide And ; A3, taking the captured instant images of the edges of the two vehicle frames as references, backing back 5 frames of images of the monitoring site along a time axis, respectively marking the positions of the two vehicle frames perceived to collide in the monitoring site images, respectively connecting the position change tracks of the 5 frames of images of the two vehicle frames in sequence according to time sequence, taking the traveling direction before the two vehicles collide and taking the included angle of the traveling direction before the two vehicles collide ; Step A4, through the formula Calculating and outputting the edge contact moment of two vehicle frames and the relative speed recognition result of two vehicles ; Step A5, further capturing the instant images of the edge contact of the two vehicle frames, comparing the selected area proportion of the vehicle frames of the two vehicles in the images, and passing through the formula Calculating a relative magnitude ratio between two vehicles outputting a moment of collision, wherein 、 Pixel areas of vehicle frame selection areas of two vehicles respectively; and step A6, analyzing and calculating the collision casualty index R by the collision casualty analysis module according to the relative speed and the contrast ratio of two vehicles which collide.
  7. 7. The system for remote rescue command and dispatch based on multi-network convergence according to claim 6, wherein in the step A6, the calculation formula of the collision injury index R is as follows: ; Wherein, the Is a coefficient, Is a preset fixed constant value, is a constant greater than 0, and 。
  8. 8. The remote rescue command and dispatch system based on multi-network integration of claim 6, wherein the intelligent information processing module operation method further comprises the following steps: step A7, the traffic accident scale judging module continuously acquires the sensing result of the same traffic accident site sensing module, and repeatedly operates the steps A2-A6 after receiving the traffic accident sensing signal again; step A8, acquiring the number n of received traffic accident sensing signals and all the corresponding analysis and calculation casualty indexes thereof in real time ; Step A9, calculating the average casualty index And utilize the formula Calculating an output traffic accident scale index, wherein 、 Is a preset coefficient.
  9. 9. The remote rescue command and dispatch system based on multi-network integration as claimed in claim 4, wherein the operation method of the car accident scene perception module comprises the following steps: Step B1, key rescue information extracted by the remote command scheduling module, wherein the key rescue information comprises all single collision casualty indexes calculated through analysis And cut off the current car accident scale index G; Step B2, establishing a medical resource database for rescuing by the historical emergency dispatch, and storing the historical maximum casualty index, the medical resource preparation standard corresponding to the scale of the historical traffic accident and the medical resource dispatching range into the medical resource database for rescuing by the historical emergency dispatch; Step B3, selecting the maximum value of the single collision casualty index Starting an emergency dispatching module, and inputting a single collision casualty index maximum value into a medical resource database of historical emergency dispatching rescue The current traffic accident scale index G is cut off, corresponding medical resource preparation standards and medical resource scheduling ranges are matched, then remote command scheduling is conducted according to the positions corresponding to the monitoring site pictures perceived by the perception information acquisition sub-module, and rescue is conducted on site at the first time; and B4, after the emergency dispatching is finished, the monitoring field picture and the corresponding time are transmitted to the remote rescue command dispatching system through the multi-network converged communication module, dispatching staff read the information continuously transmitted at the traffic accident field, calibrate and check the traffic accident field in real time, and change the emergency dispatching resources of the emergency dispatching module at any time through the flexible dispatching processing module.

Description

Remote rescue command dispatching system based on multi-network integration Technical Field The invention relates to the technical field of communication, in particular to a remote rescue command dispatching system based on multi-network integration. Background In the emergency of the emergency handling of traffic accidents, a delay of every minute may mean the lapse of life. The traditional traffic accident handling mode is that emergency rescue telephones are dialed by personnel on the accident scene, and information is collected by a dispatcher through telephone inquiry, so that the time consumption in the process is often one of key factors for delaying rescue. From dialing telephone to information confirmation, to scheduling rescue resources and reaching the scene, the time delay of each link can cause irreversible influence on the lives of wounded persons. In this process, firstly, a certain time is required for making and receiving the call, and in particular, in the case of confusion and panic emotion which may exist in the accident scene, the accuracy and efficiency of making the call are affected. Second, the process of collecting information by a dispatcher via telephone inquiry may also have communication barriers, such as site noise, emotional excitement of personnel, and other factors, which may lead to inaccuracy and delay in information transfer. The information is delayed and missing, so that the scheduling and configuration of rescue resources are difficult to achieve precision and high efficiency, delay of rescue actions and waste of resources are caused, even the best opportunity is possibly missed in the rescue actions, and the wounded feeling of the wounded is worsened and even life is dangerous. Therefore, a remote rescue command and dispatch system based on multi-network integration is necessary to design the system with strong practicability and high rescue efficiency. Disclosure of Invention The invention aims to provide a remote rescue command dispatching system based on multi-network integration, which aims to solve the problems in the background technology. In order to solve the technical problems, the invention provides a remote rescue command dispatching system based on multi-network integration, which comprises a traffic accident site sensing module, a multi-network integration communication module, an intelligent information processing module and a remote command dispatching module, wherein the traffic accident site sensing module is used for capturing videos, speeds and position information of a monitoring site in real time and identifying and judging whether traffic accidents occur or not, the multi-network integration communication module is used for integrating a communication network and ensuring that the monitoring site information is transmitted to the remote rescue command dispatching system in real time and stably, the communication network comprises a mobile communication network, a satellite communication network and a wired network, the intelligent information processing module is used for rapidly analyzing, processing and identifying received information and extracting key rescue information, and the remote command dispatching module is used for dispatching and commanding rescue resources according to the information provided by the traffic accident site sensing module and the intelligent information processing module, and the traffic accident site sensing module and the remote command dispatching module are connected in a communication mode through the multi-network integration communication module. According to the technical scheme, the traffic accident site sensing module comprises a data acquisition module, a frame selection module, a coincidence tracking module and a comprehensive judging submodule, wherein the data acquisition module is used for acquiring traffic road condition related data of a monitoring site, the data acquisition module is electrically connected with the frame selection module, the frame selection module is used for selecting the acquired vehicles in a frame manner, the frame selection module is electrically connected with the coincidence tracking module, the coincidence tracking module is used for further tracking and identifying the frame-selected vehicles with coincidence connection, and the comprehensive judging submodule is used for comprehensively judging whether traffic accidents occur in the sensing and monitoring site; the data acquisition module further comprises a camera shooting module, a radar speed measurement unit and a perception information acquisition sub-module, wherein the camera shooting module is used for acquiring a monitoring site picture, the radar speed measurement unit is used for monitoring and acquiring the vehicle speed of a monitoring site, and the perception information acquisition sub-module is used for acquiring the geographic position of the monitoring site and the real-time of output information. Acco