CN110717850A - Cloud server, emergency rescue method and system based on cloud server - Google Patents

Cloud server, emergency rescue method and system based on cloud server Download PDF

Info

Publication number
CN110717850A
CN110717850A CN201810770636.2A CN201810770636A CN110717850A CN 110717850 A CN110717850 A CN 110717850A CN 201810770636 A CN201810770636 A CN 201810770636A CN 110717850 A CN110717850 A CN 110717850A
Authority
CN
China
Prior art keywords
emergency rescue
collision
vehicle
cloud server
information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810770636.2A
Other languages
Chinese (zh)
Inventor
王舒琴
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Pateo Network Technology Service Co Ltd
Original Assignee
Shanghai Pateo Network Technology Service Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Pateo Network Technology Service Co Ltd filed Critical Shanghai Pateo Network Technology Service Co Ltd
Priority to CN201810770636.2A priority Critical patent/CN110717850A/en
Publication of CN110717850A publication Critical patent/CN110717850A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • G06Q50/265Personal security, identity or safety
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry

Landscapes

  • Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • General Physics & Mathematics (AREA)
  • Primary Health Care (AREA)
  • General Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Computer Security & Cryptography (AREA)
  • Educational Administration (AREA)
  • Development Economics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention provides a cloud server, and an emergency rescue method and system based on the cloud server, wherein the emergency rescue method based on the cloud server is applied to the cloud server and is suitable for collision accidents of vehicles, and the emergency rescue method based on the cloud server comprises the following steps: receiving collision data information sent by a vehicle after collision; simulating to obtain a collision accident simulation scene corresponding to the vehicle according to the collision data information; processing according to the collision accident simulation scene to obtain emergency rescue information corresponding to the vehicle; and sending the emergency rescue information to an emergency rescue terminal. According to the cloud server and the emergency rescue method and system based on the cloud server, emergency rescue information can be timely and effectively sent to corresponding emergency rescuers, so that the emergency rescuers near a collision place can quickly arrive at the collision place of a vehicle according to the emergency rescue information, and emergency rescue measures can be made in advance.

Description

Cloud server, emergency rescue method and system based on cloud server
Technical Field
The invention relates to the technical field of accident emergency rescue, in particular to a cloud server, and an emergency rescue method and system based on the cloud server.
Background
The people died of traffic accidents every year are quite a part of the people due to untimely rescue and improper rescue measures, and the data of the Ministry of health of China shows that only 14.3 percent of 1000 traffic accident victims arrive at hospitals by ambulances. The civil defense department in China has made such a statistic that the victims with the same injury potential are rescued within 30 minutes, the survival rate is 80%, the survival rate is 40% within 60 minutes, and the survival rate is only below 10% within 90 minutes. Therefore, timely rescue after the vehicle accident occurs is very important.
At present, there are two positioning modes of traffic accident sites, the first is to notify the sites by telephone alarm of the public on site, and the second is to position the accident sites by a city video monitoring system. Both of these forms have certain limitations, the first of which, where it is often difficult for the field masses to accurately tell the accident site, and the second of which. At present, the urban video monitoring system is not laid completely, and the equipment is not available in many areas. In addition, the two forms cannot navigate the accident site, so that the accident rescue efficiency is influenced, and the rescue workers cannot know the specific situation of the collision accident in the process of going to the accident site, and usually need to know the specific situation of the collision accident on site to make corresponding rescue measures, so that the rescue is delayed, and the rescue efficiency is influenced.
In response to the above problems, those skilled in the art have sought solutions.
Disclosure of Invention
In view of the above, the invention provides a cloud server, and an emergency rescue method and an emergency rescue system based on the cloud server, which can effectively send emergency rescue information to corresponding emergency rescue personnel in time, so that the emergency rescue personnel near a collision place can quickly arrive at the collision place of a vehicle according to the emergency rescue information, and can make emergency rescue measures in advance.
The invention provides an emergency rescue method based on a cloud server, which is suitable for vehicle collision accidents, and comprises the following steps: receiving collision data information sent by a vehicle after collision; simulating to obtain a collision accident simulation scene corresponding to the vehicle according to the collision data information; processing according to the collision accident simulation scene to obtain emergency rescue information corresponding to the vehicle; and sending the emergency rescue information to an emergency rescue terminal.
Specifically, the step of obtaining a simulation scene of the collision accident corresponding to the vehicle according to the collision data information includes: converting the collision data information into a hardware description language; and simulating to obtain a collision accident simulation scene corresponding to the vehicle according to the hardware description language.
Specifically, the collision data information includes historical device information before the vehicle collides and instantaneous accident data information after the vehicle collides.
Specifically, the step of obtaining emergency rescue information corresponding to the vehicle according to the collision accident simulation scene processing includes: processing according to the historical equipment information and the instantaneous accident data information to obtain the collision grade of the vehicle; and processing according to the collision grade and the collision accident simulation scene to obtain emergency rescue information corresponding to the vehicle.
Specifically, the step of sending the emergency rescue information to an emergency rescue terminal further includes, before the step of sending the emergency rescue information to the emergency rescue terminal: acquiring a collision accident position of the vehicle; and acquiring the emergency rescue terminal within a preset range according to the collision accident position.
Specifically, the step of sending the emergency rescue information to an emergency rescue terminal further includes: judging whether an execution instruction fed back by a first emergency aid application terminal is received within a preset time; when an execution instruction fed back by the first emergency rescue terminal is received within the preset time, cancellation information corresponding to the collision accident of the vehicle is sent to a second emergency rescue terminal; and when the execution instruction fed back by the first emergency rescue terminal is not received within the preset time, the emergency rescue information corresponding to the vehicle is sent to the emergency rescue terminal again after a preset time interval.
The invention also provides a cloud server, comprising: a memory for storing executable program code; and the processor is used for calling the executable program codes in the memory so as to realize the emergency rescue method based on the cloud server.
The invention also provides an emergency rescue system based on the cloud server, which is suitable for vehicle collision accidents and comprises a vehicle, an emergency rescue terminal and the cloud server which is respectively in communication connection with the vehicle and the emergency rescue terminal, wherein the cloud server is used for realizing the emergency rescue method based on the cloud server.
Specifically, according to the cloud server, the emergency rescue method based on the cloud server and the emergency rescue system provided by the embodiment, the collision data information is sent to the cloud server after the vehicle collides, the cloud server simulates a collision accident simulation scene corresponding to the vehicle and sends the obtained emergency rescue information to the emergency rescue terminal, so that the emergency rescue information can be timely and effectively sent to corresponding emergency rescue personnel, and the emergency rescue personnel near the collision place can quickly arrive at the collision place of the vehicle according to the emergency rescue information and can make emergency rescue measures in advance.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood, the present invention may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present invention more clearly understood, the following preferred embodiments are described in detail with reference to the accompanying drawings.
Drawings
Fig. 1 is a schematic flow chart of an emergency rescue method based on a cloud server according to a first embodiment of the present invention;
fig. 2 is a schematic flow chart of an emergency rescue method based on a cloud server according to a second embodiment of the present invention;
fig. 3 is a schematic flow chart of an emergency rescue method based on a cloud server according to a third embodiment of the present invention;
fig. 4 is a schematic flow chart of an emergency rescue method based on a cloud server according to a fourth embodiment of the present invention;
fig. 5 is a schematic flow chart of an emergency rescue method based on a cloud server according to a fifth embodiment of the present invention;
fig. 6 is a block diagram illustrating a cloud server according to a sixth embodiment of the present invention;
fig. 7 is a block diagram of a cloud server-based emergency rescue system according to embodiment 7 of the present invention.
Detailed Description
To further explain the technical means and effects of the present invention adopted to achieve the predetermined objects, the present invention will be described in detail below with reference to the accompanying drawings and preferred embodiments.
Fig. 1 is a schematic flow chart of an emergency rescue method based on a cloud server according to a first embodiment of the present invention. The embodiment is an emergency rescue method executed by a cloud server and based on the cloud server, and the emergency rescue method based on the cloud server provided by the embodiment is suitable for vehicle collision accidents. As shown in fig. 1, the emergency rescue method based on the cloud server of the present embodiment may include the following steps:
step S11: and receiving collision data information sent by the vehicle after the collision occurs.
Specifically, in one embodiment, after a vehicle collision, the vehicle will send collision data information corresponding to the vehicle collision to the cloud server at the instant after the vehicle collision. Specifically, after the vehicle collides, the vehicle machine uploads collision data information of the vehicle to the cloud server, wherein the collision data information is collected in the moment after the vehicle collides.
Specifically, in one embodiment, the crash data information may include, but is not limited to, historical device information before the vehicle crashes and instantaneous accident data information after the vehicle crashes. Specifically, the history device information may be, but is not limited to, stored in the in-vehicle machine all the time when the vehicle is normally running. The instant accident data information may be, but is not limited to, acquired by the vehicle machine at the instant after the vehicle collision accident.
Step S12: and simulating to obtain a collision accident simulation scene corresponding to the vehicle according to the collision data information.
Specifically, in an embodiment, the cloud server performs analysis processing according to the collision data information to obtain key data information after collision with the vehicle, and simulates the occurrence situation of a collision accident of the vehicle according to the key data information through a collision model, so as to accurately obtain a collision accident simulation scene corresponding to the collision of the vehicle according to the occurrence situation of the collision accident of the vehicle.
Step S13: and processing the scene according to the collision accident simulation to obtain emergency rescue information corresponding to the vehicle.
Specifically, in one embodiment, the cloud server processes the emergency rescue information corresponding to the vehicle according to a collision accident simulation scene corresponding to the collision of the vehicle. Specifically, the cloud server obtains the current collision grade of the vehicle and the collision position of the vehicle collision according to the collision accident simulation scene, for example, determines that the vehicle is a front collision, a left collision, a right collision or a rear collision, and then performs analysis according to the collision grade and the collision position of the vehicle to obtain an accurate emergency rescue scheme so as to generate corresponding emergency rescue information according to the emergency rescue scheme.
Step S14: and sending the emergency rescue information to an emergency rescue terminal.
Specifically, in one embodiment, the emergency rescue terminal may be, but is not limited to, a mobile terminal bound to emergency rescue personnel, and in one embodiment, the emergency rescue terminal may be a plurality of emergency rescue terminals, for example, all emergency rescue terminals within a preset range of a position of a collision place after a vehicle collision occurs. The cloud server sends the emergency rescue information to the emergency rescue terminal so as to display information such as the collision place, the collision time, the collision severity level, the collision position and the collision rescue scheme of the vehicle on the emergency rescue terminal, and further enable emergency rescue personnel near the collision place to quickly arrive at the collision place of the vehicle according to the emergency rescue information and to take emergency rescue measures in advance.
Referring to fig. 2, fig. 2 is a schematic flow chart of an emergency rescue method based on a cloud server according to a second embodiment of the present invention. The embodiment relates to an emergency rescue method executed by a vehicle and based on a cloud server. As shown in fig. 1 and fig. 2, in the emergency rescue method based on the cloud server according to the embodiment, the step of obtaining the collision accident simulation scene corresponding to the vehicle according to the collision data information includes the following steps:
step S21: the collision data information is converted into a hardware description language.
Specifically, in one embodiment, a Hardware Description Language (HDL) is a Language for describing the behavior, structure and data flow of electronic system Hardware. The cloud server can convert the collision data information into a hardware description language through a preset conversion rule.
Step S22: and simulating to obtain a collision accident simulation scene corresponding to the vehicle according to the hardware description language.
Specifically, in an embodiment, the cloud server simulates the occurrence situation of the collision accident of the vehicle according to the obtained hardware description language, and then can accurately obtain a collision accident simulation scene corresponding to the vehicle. Specifically, the cloud server obtains the current collision grade of the vehicle and the collision position of the vehicle collision according to the collision accident simulation scene, for example, determines that the vehicle is a front collision, a left collision, a right collision or a rear collision, and then performs analysis according to the collision grade and the collision position of the vehicle to obtain an accurate emergency rescue scheme so as to generate corresponding emergency rescue information according to the emergency rescue scheme.
Referring to fig. 3, fig. 3 is a schematic flow chart of an emergency rescue method based on a cloud server according to a third embodiment of the present invention. As shown in fig. 1 and fig. 3, in the emergency rescue method based on the cloud server according to the embodiment, the step of processing the collision accident simulation scene to obtain the emergency rescue information corresponding to the vehicle includes the following steps:
step S31: and processing according to the historical equipment information and the instantaneous accident data information to obtain the collision grade of the vehicle.
Specifically, in one embodiment, the crash data information may include, but is not limited to, historical device information before the vehicle crashes and instantaneous accident data information after the vehicle crashes.
Specifically, in an embodiment, the high in the clouds server carries out analysis according to historical device information and with the accident data information in twinkling of an eye to obtain the vehicle still can normal operating's in-vehicle parts and the in-vehicle parts that have damaged after the vehicle bumps, for example the high in the clouds server compares historical device information and with accident data information in twinkling of an eye and can obtain the data information of the in-vehicle parts that can't gather after the vehicle bumps, and then judges the data information of the in-vehicle parts that do not receive and for having damaged. Specifically, the cloud server obtains the collision grade, the collision azimuth, and the like of the collision accident of the vehicle according to the distribution condition of the damaged in-vehicle components and the number of the damaged in-vehicle components.
Step S32: and processing according to the collision grade and the collision accident simulation scene to obtain emergency rescue information corresponding to the vehicle.
Specifically, when the brick red simulation is implemented, the cloud server analyzes and processes the collision accident simulation scene obtained through simulation according to the collision grade of the vehicle so as to obtain the emergency rescue information corresponding to the vehicle. Specifically, the cloud server obtains the current collision grade of the vehicle and the collision position of the vehicle collision according to the collision accident simulation scene, for example, determines that the vehicle is a front collision, a left collision, a right collision or a rear collision, and then performs analysis according to the collision grade and the collision position of the vehicle to obtain an accurate emergency rescue scheme so as to generate corresponding emergency rescue information according to the emergency rescue scheme.
Referring to fig. 4, fig. 4 is a schematic flowchart illustrating an emergency rescue method based on a cloud server according to a fourth embodiment of the present invention. As shown in fig. 1 and 4, the emergency rescue method based on the cloud server according to the embodiment further includes the following steps before the step of sending the emergency rescue information to the emergency rescue terminal:
step S41: the collision accident position of the vehicle is acquired.
Specifically, in an embodiment, the vehicle machine of the vehicle further sends the vehicle collision accident position to the cloud server.
Step S42: and acquiring the emergency rescue terminal within a preset range according to the position of the collision accident.
Specifically, in an embodiment, when the cloud server receives the collision accident position of the vehicle, the cloud server uses the collision accident position as a center, uses a preset distance as a circular preset range formed by radii, and searches for all emergency rescue terminals located in the preset range within the preset range. Specifically, the preset radius may be set to 3km, but is not limited thereto, for example, in other embodiments, the preset radius may also be set to a distance longer or shorter than 3km, for example, the preset distance is set to 1km or 5km, and so on.
Specifically, in an embodiment, the cloud server sends the emergency rescue information to all emergency rescue terminals within a preset range with the collision accident as a center, so as to display information such as a collision place, a collision time, a collision severity level, a collision position, a collision rescue scheme and the like of a vehicle on the emergency rescue terminals, and further enable emergency rescue personnel near the collision place to quickly reach the collision place of the vehicle according to the emergency rescue information and to make emergency rescue measures in advance.
Referring to fig. 5, fig. 5 is a schematic flow chart of an emergency rescue method based on a cloud server according to a fifth embodiment of the present invention. As shown in fig. 1 and fig. 5, the emergency rescue method based on the cloud server according to the embodiment further includes the following steps after the step of sending the emergency rescue information to the emergency rescue terminal:
step S51: and judging whether an execution instruction fed back by the first emergency aid application terminal is received within a preset time.
Specifically, in an embodiment, after sending emergency rescue information to the emergency rescue terminal, the cloud server determines whether an execution instruction for going to a vehicle collision place in emergency rescue within a preset range is received within a preset time. For example, whether the cloud server receives an execution instruction fed back by the first emergency rescue terminal or not can accurately obtain information of corresponding rescuers who execute the rescue vehicle collision accident. The first emergency rescue terminal is an emergency rescue terminal which performs execution instruction feedback after the plurality of emergency rescue terminals receive the emergency rescue information.
Specifically, when the execution instruction fed back by the first emergency assistance application terminal is received within the preset time, the step S52 is executed: and sending cancellation information corresponding to the collision accident of the vehicle to the second emergency rescue terminal. Specifically, in an embodiment, when the cloud server receives an execution instruction fed back by the first emergency rescue terminal within a preset time, the cloud server generates cancellation information, sends cancellation information corresponding to a collision accident of a vehicle to the second emergency rescue terminal, and sends cancellation information to the emergency rescue terminal which does not make the execution instruction feedback, so that corresponding emergency rescuers are notified that there are already emergency rescuers going to the collision accident site of the vehicle without passing the accident collision site of the vehicle, the emergency rescuers are reasonably and optimally distributed, and the efficiency of each emergency rescue worker is improved.
Specifically, in one embodiment, when there are a plurality of first emergency assistance terminals, the positions of the plurality of first emergency assistance terminals are compared with the collision location of the vehicle collision, so as to predict one first emergency assistance terminal that can reach the collision location of the vehicle collision accident at the fastest speed, and send cancellation information to the other first emergency assistance terminals.
Specifically, when the execution instruction fed back by the first emergency assistance application terminal is not received within the preset time, the step S53 is executed: and sending emergency rescue information corresponding to the vehicle to the emergency rescue terminal again after a preset time interval.
Specifically, in an embodiment, when the execution instruction fed back by the first emergency rescue terminal is not received within a preset time, the cloud server sends emergency rescue information corresponding to the vehicle to the emergency rescue terminal again after a preset time interval. Specifically, the preset time may be, but is not limited to, set to 10 seconds, and the preset time interval may be, but is not limited to, set to 30 seconds, and the like.
Referring to fig. 6, fig. 6 is a block diagram of a vehicle according to a sixth embodiment of the present invention. As shown in fig. 6, the cloud server 100 provided in this embodiment includes a memory 110 and a processor 120.
Specifically, in the present embodiment, the memory 110 is used to store executable program code. The processor 120 is configured to call executable program code in the memory 110 to implement the steps of the emergency rescue method based on the vehicle collision event: receiving collision data information sent by a vehicle after collision; simulating to obtain a collision accident simulation scene corresponding to the vehicle according to the collision data information; emergency rescue information corresponding to the vehicle is obtained through simulation scene processing according to the collision accident; and sending the emergency rescue information to an emergency rescue terminal.
Specifically, in one embodiment, the step of the processor 120, which executes the simulation of obtaining the collision accident simulation scenario corresponding to the vehicle according to the collision data information, includes: converting the collision data information into a hardware description language; and simulating to obtain a collision accident simulation scene corresponding to the vehicle according to the hardware description language.
Specifically, in one embodiment, the collision data information includes historical device information before the vehicle crashes and instantaneous accident data information after the vehicle crashes.
Specifically, in the present embodiment, the processor 120, performing emergency rescue information corresponding to the vehicle according to the collision accident simulation scenario process includes: processing according to the historical equipment information and the instantaneous accident data information to obtain the collision grade of the vehicle; and processing according to the collision grade and the collision accident simulation scene to obtain emergency rescue information corresponding to the vehicle.
Specifically, in one embodiment, the processor 120, before performing the step of transmitting the emergency rescue information to the emergency rescue terminal, further performs the steps of: acquiring a collision accident position of a vehicle; and acquiring the emergency rescue terminal within a preset range according to the position of the collision accident.
Specifically, in one embodiment, the processor 120, after performing the step of transmitting the emergency rescue information to the emergency rescue terminal, further performs the steps of: judging whether an execution instruction fed back by a first emergency aid application terminal is received within a preset time; when an execution instruction fed back by a first emergency rescue terminal is received within a preset time, cancellation information corresponding to a collision accident of a vehicle is sent to a second emergency rescue terminal; and when the execution instruction fed back by the first emergency rescue terminal is not received within the preset time, the emergency rescue information corresponding to the vehicle is sent to the emergency rescue terminal again after the preset time interval.
For the specific process of implementing each function of each functional unit of the cloud server 100 in this embodiment, please refer to the specific contents described in the embodiments shown in fig. 1 to fig. 5, which is not described herein again.
Referring to fig. 7, fig. 7 is a block diagram illustrating a cloud server-based emergency rescue system 200 according to a seventh embodiment of the present invention. As shown in fig. 7, the cloud server-based emergency rescue system 200 provided in this embodiment includes a vehicle 210, an emergency rescue terminal 220, and a cloud server 230. Specifically, the cloud server 230 is in communication connection with the vehicle 210 and the emergency rescue terminal 230, respectively. Specifically, the vehicle 210 is configured to send collision data information to the cloud server 230 after sending the collision. The emergency rescue terminal 220 is configured to receive the emergency rescue information sent by the cloud server 230, and feed back whether to execute the instruction to the cloud server 230. Specifically, in an embodiment, the cloud server 230 is configured to implement the cloud server-based emergency rescue method as described above.
Specifically, in one embodiment, cloud server 230 includes a memory and a processor.
In particular, in the present embodiment, the memory is used to store executable program code. The processor is used for calling the executable program code in the memory to realize the steps of the emergency rescue method based on the vehicle collision accident: receiving collision data information sent by a vehicle after collision; simulating to obtain a collision accident simulation scene corresponding to the vehicle according to the collision data information; emergency rescue information corresponding to the vehicle is obtained through simulation scene processing according to the collision accident; and sending the emergency rescue information to an emergency rescue terminal.
Specifically, in one embodiment, the step of the processor performing the simulation of the collision accident simulation scenario corresponding to the vehicle based on the collision data information includes: converting the collision data information into a hardware description language; and simulating to obtain a collision accident simulation scene corresponding to the vehicle according to the hardware description language.
Specifically, in one embodiment, the collision data information includes historical device information before the vehicle crashes and instantaneous accident data information after the vehicle crashes.
Specifically, in the present embodiment, the processor, performing emergency rescue information corresponding to the vehicle according to the collision accident simulation scenario process includes: processing according to the historical equipment information and the instantaneous accident data information to obtain the collision grade of the vehicle; and processing according to the collision grade and the collision accident simulation scene to obtain emergency rescue information corresponding to the vehicle.
Specifically, in one embodiment, the processor, before performing the step of transmitting the emergency rescue information to the emergency rescue terminal, further performs the steps of: acquiring a collision accident position of a vehicle; and acquiring the emergency rescue terminal within a preset range according to the position of the collision accident.
Specifically, in one embodiment, the processor, after performing the step of transmitting the emergency rescue information to the emergency rescue terminal, further performs the steps of: judging whether an execution instruction fed back by a first emergency aid application terminal is received within a preset time; when an execution instruction fed back by a first emergency rescue terminal is received within a preset time, cancellation information corresponding to a collision accident of a vehicle is sent to a second emergency rescue terminal; and when the execution instruction fed back by the first emergency rescue terminal is not received within the preset time, the emergency rescue information corresponding to the vehicle is sent to the emergency rescue terminal again after the preset time interval.
In this embodiment, for the specific process of implementing each function of each functional unit of the emergency rescue system 200 based on the cloud server, please refer to the specific contents described in the embodiments shown in fig. 1 to fig. 5, which is not described herein again.
Specifically, according to the cloud server, the emergency rescue method based on the cloud server and the emergency rescue system provided by the embodiment, the collision data information is sent to the cloud server after the vehicle collides, the cloud server simulates a collision accident simulation scene corresponding to the vehicle and sends the obtained emergency rescue information to the emergency rescue terminal, so that the emergency rescue information can be timely and effectively sent to corresponding emergency rescue personnel, and the emergency rescue personnel near the collision place can quickly arrive at the collision place of the vehicle according to the emergency rescue information and can make emergency rescue measures in advance.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, in which computer-executable instructions are stored, where the computer-readable storage medium is, for example, a non-volatile memory such as an optical disc, a hard disc, or a flash memory. The computer-executable instructions are used for enabling a computer or a similar computing device to complete various operations in the cloud server-based emergency rescue method.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the terminal class embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for relevant points, reference may be made to part of the description of the method embodiment.

Claims (8)

1. An emergency rescue method based on a cloud server is suitable for vehicle collision accidents, and is characterized by comprising the following steps:
receiving collision data information sent by a vehicle after collision;
simulating to obtain a collision accident simulation scene corresponding to the vehicle according to the collision data information;
processing according to the collision accident simulation scene to obtain emergency rescue information corresponding to the vehicle;
and sending the emergency rescue information to an emergency rescue terminal.
2. The cloud server-based emergency rescue method according to claim 1, wherein the step of simulating a collision accident simulation scenario corresponding to the vehicle according to the collision data information comprises:
converting the collision data information into a hardware description language;
and simulating to obtain a collision accident simulation scene corresponding to the vehicle according to the hardware description language.
3. The cloud server-based emergency rescue method of claim 1, wherein the collision data information comprises historical device information before the vehicle collides and instantaneous accident data information after the vehicle collides.
4. The cloud server-based emergency rescue method according to claim 3, wherein the step of obtaining emergency rescue information corresponding to the vehicle according to the collision accident simulation scenario comprises:
processing according to the historical equipment information and the instantaneous accident data information to obtain the collision grade of the vehicle;
and processing according to the collision grade and the collision accident simulation scene to obtain emergency rescue information corresponding to the vehicle.
5. The cloud server-based emergency rescue method according to claim 1, wherein the step of sending the emergency rescue information to an emergency rescue terminal further comprises:
acquiring a collision accident position of the vehicle;
and acquiring the emergency rescue terminal within a preset range according to the collision accident position.
6. The cloud server-based emergency rescue method according to claim 1, wherein the step of sending the emergency rescue information to an emergency rescue terminal further comprises:
judging whether an execution instruction fed back by a first emergency aid application terminal is received within a preset time;
when an execution instruction fed back by the first emergency rescue terminal is received within the preset time, cancellation information corresponding to the collision accident of the vehicle is sent to a second emergency rescue terminal;
and when the execution instruction fed back by the first emergency rescue terminal is not received within the preset time, the emergency rescue information corresponding to the vehicle is sent to the emergency rescue terminal again after a preset time interval.
7. A cloud server, the cloud server comprising:
a memory for storing executable program code; and
a processor for invoking the executable program code in the memory to implement the cloud server-based emergency rescue method of any of claims 1-6.
8. An emergency rescue system based on a cloud server is suitable for a vehicle collision accident and is characterized by comprising a vehicle, an emergency rescue terminal and a cloud server which is in communication connection with the vehicle and the emergency rescue terminal respectively, wherein the cloud server is used for realizing the emergency rescue method based on the cloud server as claimed in any one of claims 1 to 6.
CN201810770636.2A 2018-07-13 2018-07-13 Cloud server, emergency rescue method and system based on cloud server Pending CN110717850A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810770636.2A CN110717850A (en) 2018-07-13 2018-07-13 Cloud server, emergency rescue method and system based on cloud server

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810770636.2A CN110717850A (en) 2018-07-13 2018-07-13 Cloud server, emergency rescue method and system based on cloud server

Publications (1)

Publication Number Publication Date
CN110717850A true CN110717850A (en) 2020-01-21

Family

ID=69209258

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810770636.2A Pending CN110717850A (en) 2018-07-13 2018-07-13 Cloud server, emergency rescue method and system based on cloud server

Country Status (1)

Country Link
CN (1) CN110717850A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111784990A (en) * 2020-05-28 2020-10-16 上海擎感智能科技有限公司 Vehicle accident rescue method and system and computer storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103794035A (en) * 2012-10-29 2014-05-14 鸿富锦精密工业(武汉)有限公司 Vehicle emergent accident back-reporting system and method
CN105096543A (en) * 2015-08-24 2015-11-25 中国电子科技集团公司第二十九研究所 Vehicle rescue method and vehicle rescue system based on a vehicle data recorder
US20150365810A1 (en) * 2014-06-13 2015-12-17 Denso Corporation Vehicular emergency report apparatus and emergency report system
CN106066907A (en) * 2016-05-27 2016-11-02 大连楼兰科技股份有限公司 The setting loss grading method judged based on many parts multi-model
CN106548624A (en) * 2016-11-03 2017-03-29 武汉理工大学 A kind of car accident grade automatic identification and monitoring warning device, system and method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103794035A (en) * 2012-10-29 2014-05-14 鸿富锦精密工业(武汉)有限公司 Vehicle emergent accident back-reporting system and method
US20150365810A1 (en) * 2014-06-13 2015-12-17 Denso Corporation Vehicular emergency report apparatus and emergency report system
CN105096543A (en) * 2015-08-24 2015-11-25 中国电子科技集团公司第二十九研究所 Vehicle rescue method and vehicle rescue system based on a vehicle data recorder
CN106066907A (en) * 2016-05-27 2016-11-02 大连楼兰科技股份有限公司 The setting loss grading method judged based on many parts multi-model
CN106548624A (en) * 2016-11-03 2017-03-29 武汉理工大学 A kind of car accident grade automatic identification and monitoring warning device, system and method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
黄勇等: "《汽车维修版焊工》", 国防工业出版社 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111784990A (en) * 2020-05-28 2020-10-16 上海擎感智能科技有限公司 Vehicle accident rescue method and system and computer storage medium

Similar Documents

Publication Publication Date Title
US10769922B2 (en) Help seeking method, system, and apparatus, and computer storage medium
CN103413411B (en) A kind of major traffic accidents based on car networking actively rescue system
CN112235712B (en) Vehicle driving early warning method, system, device and equipment
CN105575115A (en) Driving behavior analysis method based on vehicle-mounted monitoring and management platform
CN103945344A (en) Information sending method, network device and terminal
CN103824179A (en) Information processing method and information processing device
JP2016095184A (en) Telematics system
CN103093612A (en) Safety system based on Internet of things
CN104916151A (en) Internet-based traffic alarm system and method
CN109710984A (en) Identification of accidental events and rescue mode and device
JP7348243B2 (en) Test methods, devices and equipment for traffic flow monitoring measurement systems
Sahoo et al. An IoT-based intimation and path tracing of a vehicle involved in road traffic crashes
CN110717850A (en) Cloud server, emergency rescue method and system based on cloud server
EP3624472A1 (en) Information processing method, device and system
CN104601640A (en) Driving information processing method, client and system
CN111915892B (en) Data request response method, device, computer equipment and medium
CN109842850A (en) Electric vehicle monitoring method and device
JP2018151716A (en) Information processing device, risk avoidance notification method, and risk avoidance notification program
CN107851339B (en) A kind of method and apparatus handling accident information
JP6444179B2 (en) Communication device
CN113808397A (en) Data processing method and device for non-motor vehicle accidents and cloud server
CN106157659B (en) Electronic eye data adding method, electronic eye management device and system
CN113961653A (en) Abnormal road surface information prompting method, electronic equipment and storage medium
Fogue et al. A realistic prototype for automatic accident detection and assistance through vehicular networks
CN112700138A (en) Method, device and system for road traffic risk management

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20200121

RJ01 Rejection of invention patent application after publication