CN108711202B - Traffic accident rescue system based on big data - Google Patents
Traffic accident rescue system based on big data Download PDFInfo
- Publication number
- CN108711202B CN108711202B CN201810886170.2A CN201810886170A CN108711202B CN 108711202 B CN108711202 B CN 108711202B CN 201810886170 A CN201810886170 A CN 201810886170A CN 108711202 B CN108711202 B CN 108711202B
- Authority
- CN
- China
- Prior art keywords
- traffic
- video
- road
- information
- mobile terminal
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
- G07C5/0866—Registering performance data using electronic data carriers the electronic data carrier being a digital video recorder in combination with video camera
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/016—Personal emergency signalling and security systems
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Multimedia (AREA)
- Traffic Control Systems (AREA)
- Alarm Systems (AREA)
Abstract
The invention provides a traffic accident rescue system based on big data, which identifies whether a user is in dangerous states such as traffic accidents by recording driving characteristic information or voice information of a riding user, and then automatically calls a driving recorder or a traffic camera device around the user to record traffic conditions, so that the system can give an alarm timely according to the traffic conditions to ensure the personal safety of the user, records the traffic condition information so as to facilitate responsibility confirmation, and improves the timeliness and objectivity of road accident rescue.
Description
Technical Field
The application relates to the technical field of big data and traffic accident rescue, in particular to a traffic accident rescue system based on big data.
Background
The automobile data recorder is a device for recording relevant information such as images and sounds during the running of the automobile, and video images and sounds of the whole running process of the automobile stored by the automobile data recorder can provide evidence for traffic accidents. The tachograph can also be used to record the process of overcoming a difficult obstruction. The video recording is carried out while driving, and the time, the speed and the position are recorded in the video recording, so that the video recording device is a black box. The digital video camera can also be used for shooting life pleasure at home for DV or used for home monitoring. And the parking monitoring can be performed at ordinary times.
In the prior art, the automobile data recorder is provided to store video information and driving states outside and in the automobile in a storage circuit for first storage and backup when the automobile runs and is parked, the automobile data recorder transmits the video information and the driving states outside and in the automobile to the mobile intelligent device through a wireless transmission circuit, and the mobile intelligent device uploads the information to a cloud server for second storage and backup. This patent can realize local and high in the clouds synchronous storage of server, and police's investigation evidence collection provides the valuable clue after taking place for unusual circumstances such as robbing the car, very big improvement police's rate of solving a case. However, the above invention patent can only store the information of vehicle running and parking, and cannot give an alarm in time when the vehicle and the driver have an emergency. In addition, the prior art provides a vehicle event data recorder based on ARM, including GPRS communication module, the GPS module, ARM and memory, connect communication module on the ARM, a time-recorder module for going on timing to the travel time of car and an animation generation module for generating simulation car operation animation effect, the input of ARM is connected with the digit keyboard, reset circuit, and be used for carrying out speech processing's speech processing module and the shift knob that is used for when dealing with emergency, speech processing module's input is connected with the speech sensor that is used for carrying out the collection to personnel's sound signal, connect the communication interface module that is used for carrying out the communication with peripheral equipment on the communication module. This patent is provided with the shift knob when handling emergency in the car, but needs this button of manual trigger just can start alarm function. When a serious traffic accident occurs, a driver is often injured or restricted in movement, and under such a condition, the driver often cannot send out a distress signal in time (for example, a distress button cannot be triggered under the condition that the driver is seriously injured), so that the rescue opportunity may be delayed.
However, the above methods are limited to recording driving information by a driving recorder and triggering a corresponding alarm, the method depends heavily on the driving recorder, and for users who are inconvenient to install the driving recorder, such as riding bicycles or electric bicycles, the above methods have limitations and cannot solve the problem of safe rescue of such users; in addition, although the prior art has a method for positioning and alarming based on a mobile terminal, such a method can only trigger an alarm, and for the vulnerable groups of riding, the actual conditions of the traffic accident cannot be accurately recorded at the emergency time, so that great inconvenience is caused to the responsibility confirmation and the later compensation problem of the traffic accident. Therefore, a method for calling for help in a traffic accident and recording information of the accident scene based on the mobile terminal is yet to be provided to realize the calling for help and recording of the information of the accident scene when a traffic accident occurs for a riding person.
Disclosure of Invention
The invention provides a traffic accident rescue system based on big data, which comprises the following modules:
the road danger state judging module is used for detecting whether a mobile terminal of a user is in a riding mode, if so, starting an acceleration sensor and a voice detector of the mobile terminal, and detecting acceleration and voice input signals in the riding mode; if the instantaneous acceleration of the mobile terminal is greater than a preset value or the voice detector detects a preset voice signal, the user enters a road danger state;
the monitoring video acquisition module is used for sending the position information and the alarm information of the mobile terminal to a traffic information supervision server by the mobile terminal; after receiving the alarm information, the traffic information supervision server sends a monitoring video acquisition instruction of a preset time period before the sending time of the alarm information to a driving recorder of a vehicle and a road video monitoring camera device within a first preset radius distance by taking the position as a circle center;
and the alarm module is used for sending the video to the traffic information monitoring server after the automobile data recorder and the road video monitoring camera device receive the monitoring video acquisition instruction, the traffic information monitoring server automatically identifies the video, and if the road traffic abnormity occurs, an alarm signal is sent to the road traffic alarm platform and the emergency contact of the user.
As a preferred embodiment, the detecting whether the mobile terminal of the user is in the riding mode specifically includes:
detecting whether the movement speed of the mobile terminal is greater than a preset first speed threshold value and a preset second speed threshold value, if so, detecting the duration of the movement speed, and if the duration of the movement speed is greater than the preset time threshold value, enabling the mobile terminal to enter a riding mode.
As a preferred embodiment, if the instantaneous acceleration of the mobile terminal is greater than a preset value or the voice detector detects a predetermined voice signal, the user enters a road hazard state, further comprising:
if the instantaneous acceleration of the mobile terminal is larger than a preset value and the average speed of the mobile terminal after the instantaneous acceleration in a preset time period is zero, the user enters a road danger state; alternatively, the first and second electrodes may be,
and if the voice detector of the mobile terminal detects a voice signal and recognizes that a preset keyword exists in the voice signal, the user enters a road danger state.
As a preferred embodiment, the method further comprises:
the traffic information supervision server is a big data server;
the traffic information monitoring server stores authentication information of a plurality of automobile data recorders, wherein the authentication information comprises owner identity information and vehicle identity information; after the authentication, the traffic information monitoring server has the authority to acquire the video information recorded and stored by the automobile data recorder.
As a preferred embodiment, the traffic information monitoring server automatically identifies the video, and if a road traffic abnormality occurs, sends an alarm signal to a road traffic alarm platform, and further includes:
the traffic information supervision server automatically identifies the video, and if the occurrence of road traffic abnormality is not identified, the traffic information supervision server sends a monitoring video acquisition instruction of a preset time period before the alarm information sending time to a driving recorder of a vehicle and a road video monitoring camera device within a second preset radius distance by taking the position as a circle center; the second preset radius distance is greater than the first preset radius distance;
and after receiving the monitoring video acquisition instruction, the automobile data recorder and the road video monitoring camera device send the video to the traffic information monitoring server, and the traffic information monitoring server automatically identifies the video.
As a preferred embodiment, the method further comprises:
and after receiving the monitoring video acquisition instruction, the automobile data recorder and the road video monitoring camera device between the second preset radius distance and the first preset radius distance send the video to the traffic information monitoring server, and the traffic information monitoring server automatically identifies the video.
As a preferred embodiment, the traffic information monitoring server automatically identifies the video, and if a road traffic abnormality occurs, sends an alarm signal to a road traffic alarm platform, specifically including:
the traffic information supervision server automatically identifies the videos sent by the automobile data recorder and the road video monitoring camera device;
if the collision of the vehicles occurs in the video, identifying that the road traffic abnormity occurs;
and recording the video with the road traffic abnormity and the time point information thereof, sending the information to a road traffic alarm platform, and sending out an alarm signal.
The invention provides a traffic accident rescue system based on big data, which identifies whether a user is in dangerous states such as traffic accidents by recording driving characteristic information or voice information of a riding user, and then automatically calls a driving recorder or a traffic camera device around the user to record traffic conditions, so that the system can give an alarm timely according to the traffic conditions to ensure the personal safety of the user, records the traffic condition information so as to facilitate responsibility confirmation, and improves the timeliness and objectivity of road accident rescue.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the embodiments and the drawings used in the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is an exemplary schematic diagram of a big data based traffic accident rescue system according to the present invention.
Detailed Description
The embodiments of the present invention are further described below with reference to the drawings.
The first embodiment is as follows:
as shown in fig. 1, the present invention provides a traffic accident rescue system based on big data, which comprises the following modules:
the road danger state judging module is used for detecting whether a mobile terminal of a user is in a riding mode, if so, starting an acceleration sensor and a voice detector of the mobile terminal, and detecting acceleration and voice input signals in the riding mode; if the instantaneous acceleration of the mobile terminal is greater than a preset value or the voice detector detects a preset voice signal, the user enters a road danger state; it should be noted that, for example, the riding mode may be a bicycle riding mode or an electric bicycle riding mode, and since the speed of the mobile terminal carried by the user in the riding mode is maintained within a specific range, it may be detected whether the mobile terminal is in the riding mode through the movement speed of the mobile terminal. The acceleration sensor user detects the acceleration of the mobile terminal in the riding mode to judge whether the user maintains a normal riding state; for example, when the absolute value of the acceleration of the mobile terminal of the user at a certain moment is larger than the maximum acceleration range that can be applied by a person, it indicates that the user has suffered a large external force impact during riding, and at this time, there is a high possibility that the user is collided by another vehicle, and it is determined that the user has a traffic accident, that is, the user enters a road danger state. Similarly, the voice detector is used for detecting whether a user detects that the user of the mobile terminal sends a specific voice instruction in the riding mode, so as to judge whether the user maintains a normal riding state; for example, the user sends out voice information such as "save", "save me", "do not run", and at this time, it is determined that the user has a traffic accident, that is, the user enters a road danger state. Illustratively, the voice detector is a microphone of the mobile terminal.
The monitoring video acquisition module is used for sending the position information and the alarm information of the mobile terminal to a traffic information supervision server by the mobile terminal; after receiving the alarm information, the traffic information supervision server sends a monitoring video acquisition instruction of a preset time period before the sending time of the alarm information to a driving recorder of a vehicle and a road video monitoring camera device within a first preset radius distance by taking the position as a circle center; it should be noted that, the traffic information monitoring server user records urban road traffic information, and not only connects with traffic monitoring equipment, such as a road camera, and stores the video information of road traffic collected by the camera, but also authorizes the vehicle camera such as a vehicle data recorder connected with the vehicle, that is, obtains real-time traffic information of the road in a static and dynamic dual mode. In addition, the position information of the vehicle-mounted camera is also recorded in the traffic information supervision server at the same time. The alarm information is received by the traffic information monitoring server and then sent to a traffic guidance center, such as 110, in real time. After receiving the position information, the traffic information supervision server obtains video information acquired by a peripheral static and dynamic camera device by taking the position of the mobile terminal as a circle center, for example, the first preset radius is 10 meters; i.e. traffic conditions within a distance of 10 meters around the user; and in order to completely record the traffic state in the time period, the time period of monitoring video acquisition of the camera device is a preset time period before the sending time of the alarm information.
And the alarm module is used for sending the video to the traffic information monitoring server after the automobile data recorder and the road video monitoring camera device receive the monitoring video acquisition instruction, the traffic information monitoring server automatically identifies the video, and if the road traffic abnormity occurs, an alarm signal is sent to the road traffic alarm platform and the emergency contact of the user. It should be noted that, because the static and dynamic camera devices have established a communication connection with the traffic information monitoring server in advance, after receiving a video request instruction, the vehicle event data recorder and the road video monitoring camera device send the video to the traffic information monitoring server; the traffic information monitoring server automatically identifies whether a road traffic accident occurs in the video, and the method for judging whether the road traffic accident occurs in the video is realized by adopting an image processing algorithm known in the art, which is not described herein again. If the road traffic is abnormal, an alarm signal is sent to the road traffic alarm platform; the alarm signal at this point may also include transmitting a rescue signal 120.
The invention provides a traffic accident rescue system based on big data, which identifies whether a user is in dangerous states such as traffic accidents by recording driving characteristic information or voice information of a riding user, and then automatically calls a driving recorder or a traffic camera device around the user to record traffic conditions, so that the system can give an alarm timely according to the traffic conditions to ensure the personal safety of the user, records the traffic condition information so as to facilitate responsibility confirmation, and improves the timeliness and objectivity of road accident rescue.
As a preferred embodiment, the detecting whether the mobile terminal of the user is in the riding mode specifically includes:
detecting whether the movement speed of the mobile terminal is greater than a preset first speed threshold value and a preset second speed threshold value, if so, detecting the duration of the movement speed, and if the duration of the movement speed is greater than the preset time threshold value, enabling the mobile terminal to enter a riding mode. It should be noted that, in this embodiment, a speed determination method is used to determine whether the user enters the riding mode, for example, a normal riding speed is 10 to 20 km/h, illustratively, the first speed threshold is 8 km/h, and the second speed threshold is 22 km/h; if the movement speed of the user is within the two speed threshold ranges, the user may enter a riding mode; in order to ensure the accuracy of the judgment, a time threshold value is set, which is 1 minute as an example; at this time, the duration time of the movement speed is detected under the condition of maintaining the speed range, and if the duration time of the movement speed is greater than a preset time threshold value for 1 minute, the mobile terminal is judged to enter a riding mode.
As a preferred embodiment, if the instantaneous acceleration of the mobile terminal is greater than a preset value or the voice detector detects a predetermined voice signal, the user enters a road hazard state, further comprising:
if the instantaneous acceleration of the mobile terminal is larger than a preset value and the average speed of the mobile terminal after the instantaneous acceleration in a preset time period is zero, the user enters a road danger state; it should be noted that, for example, when the absolute value of the acceleration of the mobile terminal of the user at a certain moment is larger than the maximum acceleration range that can be applied by a person, it indicates that the user has suffered a huge external force impact during the riding process, and at this time, there is a high possibility that the user is collided by another vehicle; in order to further improve the accuracy of judgment, a user can fall down after receiving the impact under the conventional condition so as to maintain the speed at 0; thus, the average speed of a preset time period after the instantaneous acceleration is zero, for example, the average speed of 30 seconds of the preset time period is 0.05 m/s, i.e., the speed is almost 0; at this time, it is determined that the user has a traffic accident, that is, the user enters a road danger state.
Alternatively, the first and second electrodes may be,
and if the voice detector of the mobile terminal detects a voice signal and recognizes that a preset keyword exists in the voice signal, the user enters a road danger state. For example, the user sends out voice information such as "save", "save me", "do not run", and at this time, it is determined that the user has a traffic accident, that is, the user enters a road danger state.
As a preferred embodiment, the method further comprises:
the traffic information supervision server is a big data server; it should be noted that the big data server is connected to a plurality of servers to obtain all the monitoring videos of the urban road.
The traffic information monitoring server stores authentication information of a plurality of automobile data recorders, wherein the authentication information comprises owner identity information and vehicle identity information; after the authentication, the traffic information monitoring server has the authority to acquire the video information recorded and stored by the automobile data recorder. It should be noted that, in order to ensure the user privacy and data security of the vehicle owner, the traffic information monitoring server needs to obtain authorization and authentication before acquiring the video information of the automobile data recorder; meanwhile, in order to identify the video acquired by the vehicle, the owner identity information and the vehicle identity information need to be acquired at the same time. After the authentication, the traffic information monitoring server has the right to acquire the video information recorded and stored by the automobile data recorder in real time.
As a preferred embodiment, the traffic information monitoring server automatically identifies the video, and if a road traffic abnormality occurs, sends an alarm signal to a road traffic alarm platform, and further includes:
the traffic information supervision server automatically identifies the video, and if the occurrence of road traffic abnormality is not identified, the traffic information supervision server sends a monitoring video acquisition instruction of a preset time period before the alarm information sending time to a driving recorder of a vehicle and a road video monitoring camera device within a second preset radius distance by taking the position as a circle center; the second preset radius distance is greater than the first preset radius distance; it should be noted that, the first preset distance radius realizes a result of rapidly recognizing a road traffic accident by acquiring fewer videos, however, in order to ensure accuracy of the recognition result, under the condition that no road traffic abnormality is recognized within the first preset distance radius, a recognition radius in a larger range is set, so as to further ensure accuracy of the recognition result and avoid misjudgment. For example, the second predetermined radius is 50 meters or 100 meters.
And after receiving the monitoring video acquisition instruction, the automobile data recorder and the road video monitoring camera device send the video to the traffic information monitoring server, and the traffic information monitoring server automatically identifies the video. It should be noted that, because the static and dynamic camera devices have established a communication connection with the traffic information monitoring server in advance, after receiving a video request instruction, the vehicle event data recorder and the road video monitoring camera device send the video to the traffic information monitoring server; the traffic information monitoring server automatically identifies whether a road traffic accident occurs in the video, and the method for judging whether the road traffic accident occurs in the video is realized by adopting an image processing algorithm known in the art, which is not described herein again. If the road traffic is abnormal, an alarm signal is sent to the road traffic alarm platform; the alarm signal at this point may also include transmitting a rescue signal 120.
As a preferred embodiment, the method further comprises:
and after receiving the monitoring video acquisition instruction, the automobile data recorder and the road video monitoring camera device between the second preset radius distance and the first preset radius distance send the video to the traffic information monitoring server, and the traffic information monitoring server automatically identifies the video. It should be noted that, at this time, only the video information between the second preset radius distance and the first preset radius distance is identified, and the video information within the first preset radius is not repeatedly identified, so that the number of video identifications is reduced, and the efficiency of video identification is improved.
As a preferred embodiment, the traffic information monitoring server automatically identifies the video, and if a road traffic abnormality occurs, sends an alarm signal to a road traffic alarm platform, specifically including:
the traffic information supervision server automatically identifies the videos sent by the automobile data recorder and the road video monitoring camera device;
if the collision of the vehicles occurs in the video, identifying that the road traffic abnormity occurs; it should be noted that the method for determining whether a collision of a vehicle occurs in a video is implemented by using an image processing algorithm known in the art, and details are not described herein.
And recording the video with the road traffic abnormity and the time point information thereof, sending the information to a road traffic alarm platform, and sending out an alarm signal. It should be noted that, by recording the time point, the traffic police can analyze the accident reason conveniently.
The invention provides a traffic accident rescue system based on big data, which identifies whether a user is in dangerous states such as traffic accidents by recording driving characteristic information or voice information of a riding user, and then automatically calls a driving recorder or a traffic camera device around the user to record traffic conditions, so that the system can give an alarm timely according to the traffic conditions to ensure the personal safety of the user, records the traffic condition information so as to facilitate responsibility confirmation, and improves the timeliness and objectivity of road accident rescue.
It will be understood by those within the art that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the methods specified in the block or blocks of the block diagrams and/or flowchart block or blocks.
Those of skill in the art will appreciate that various operations, methods, steps in the processes, acts, or solutions discussed in the present application may be alternated, modified, combined, or deleted. Further, various operations, methods, steps in the flows, which have been discussed in the present application, may be interchanged, modified, rearranged, decomposed, combined, or eliminated. Further, steps, measures, schemes in the various operations, methods, procedures disclosed in the prior art and the present invention can also be alternated, changed, rearranged, decomposed, combined, or deleted.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (6)
1. A traffic accident rescue system based on big data is characterized by comprising the following modules:
the road danger state judging module is used for detecting whether a mobile terminal of a user is in a riding mode, if so, starting an acceleration sensor and a voice detector of the mobile terminal, and detecting acceleration and voice input signals in the riding mode; if the instantaneous acceleration of the mobile terminal is greater than a preset value or the voice detector detects a preset voice signal, the user enters a road danger state;
the monitoring video acquisition module is used for sending the position information and the alarm information of the mobile terminal to a traffic information supervision server by the mobile terminal; after receiving the alarm information, the traffic information supervision server sends a monitoring video acquisition instruction of a preset time period before the sending time of the alarm information to a driving recorder of a vehicle and a road video monitoring camera device within a first preset radius distance by taking the position as a circle center;
the alarm module is used for sending the video to the traffic information monitoring server after the automobile data recorder and the road video monitoring camera device receive the monitoring video acquisition instruction, the traffic information monitoring server automatically identifies the video, and if road traffic abnormity occurs, an alarm signal is sent to a road traffic alarm platform and an emergency contact of the user;
the traffic information supervision server automatically identifies the video, and if the road traffic abnormity occurs, an alarm signal is sent to a road traffic alarm platform, and the traffic information supervision server further comprises:
the traffic information supervision server automatically identifies the video, and if the occurrence of road traffic abnormality is not identified, the traffic information supervision server sends a monitoring video acquisition instruction of a preset time period before the alarm information sending time to a driving recorder of a vehicle and a road video monitoring camera device within a second preset radius distance by taking the position as a circle center; the second preset radius distance is greater than the first preset radius distance;
the automobile data recorder and the road video monitoring camera device receive the monitoring video acquisition instruction and then send the video to the traffic information monitoring server, and the traffic information monitoring server automatically identifies the video;
the traffic information monitoring server stores authentication information of a plurality of automobile data recorders, wherein the authentication information comprises owner identity information and vehicle identity information; after the authentication, the traffic information monitoring server has the authority to acquire the video information recorded and stored by the automobile data recorder.
2. The traffic accident rescue system of claim 1, wherein the detecting whether the mobile terminal of the user is in a riding mode specifically comprises:
detecting whether the movement speed of the mobile terminal is greater than a preset first speed threshold value and a preset second speed threshold value, if so, detecting the duration of the movement speed, and if the duration of the movement speed is greater than the preset time threshold value, enabling the mobile terminal to enter a riding mode.
3. The traffic accident rescue system of claim 1, wherein if the instantaneous acceleration of the mobile terminal is greater than a preset value or the voice detector detects a predetermined voice signal, the user enters a road hazard state, further comprising:
if the instantaneous acceleration of the mobile terminal is larger than a preset value and the average speed of the mobile terminal after the instantaneous acceleration in a preset time period is zero, the user enters a road danger state; alternatively, the first and second electrodes may be,
and if the voice detector of the mobile terminal detects a voice signal and recognizes that a preset keyword exists in the voice signal, the user enters a road danger state.
4. A traffic accident rescue system as set forth in claim 1, further comprising:
the traffic information supervision server is a big data server.
5. A traffic accident rescue system as set forth in claim 1, further comprising:
and after receiving the monitoring video acquisition instruction, the automobile data recorder and the road video monitoring camera device between the second preset radius distance and the first preset radius distance send the video to the traffic information monitoring server, and the traffic information monitoring server automatically identifies the video.
6. The traffic accident rescue system according to claim 1, wherein the traffic information supervision server automatically identifies the video, and if a road traffic abnormality occurs, sends an alarm signal to a road traffic alarm platform, specifically comprising:
the traffic information supervision server automatically identifies the videos sent by the automobile data recorder and the road video monitoring camera device;
if the collision of the vehicles occurs in the video, identifying that the road traffic abnormity occurs;
and recording the video with the road traffic abnormity and the time point information thereof, sending the information to a road traffic alarm platform, and sending out an alarm signal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810886170.2A CN108711202B (en) | 2018-08-06 | 2018-08-06 | Traffic accident rescue system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810886170.2A CN108711202B (en) | 2018-08-06 | 2018-08-06 | Traffic accident rescue system based on big data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108711202A CN108711202A (en) | 2018-10-26 |
| CN108711202B true CN108711202B (en) | 2022-01-28 |
Family
ID=63874587
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810886170.2A Active CN108711202B (en) | 2018-08-06 | 2018-08-06 | Traffic accident rescue system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108711202B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110766584A (en) * | 2018-11-29 | 2020-02-07 | 北京嘀嘀无限科技发展有限公司 | Method, apparatus and computer readable medium for protecting a user |
| CN110070642A (en) * | 2019-03-22 | 2019-07-30 | 天津大学 | A kind of traffic accident responsibility appraisal procedure and device based on deep learning |
| CN110288143A (en) * | 2019-06-19 | 2019-09-27 | 广州交投机电工程有限公司 | A kind of road monitoring transfers method, system and storage medium |
| CN110278090B (en) * | 2019-06-27 | 2021-05-04 | 尚菊红 | Environment-friendly monitoring data monitoring system, processing method, computer equipment and storage medium |
| CN110572614A (en) * | 2019-09-10 | 2019-12-13 | 深圳市艾赛泰克科技有限公司 | Streaming media driving monitoring system |
| CN112071090A (en) * | 2020-09-16 | 2020-12-11 | 河北悟凡电子科技有限公司 | Vehicle monitoring record management system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103903406A (en) * | 2012-12-30 | 2014-07-02 | 王方淇 | Emergency monitoring and notifying method and system |
| CN105828020A (en) * | 2015-01-04 | 2016-08-03 | 中国移动通信集团辽宁有限公司 | Accident reduction control method and accident reduction control system based on Internet of vehicles |
| CN105849790A (en) * | 2015-10-16 | 2016-08-10 | 华为技术有限公司 | Road condition information acquisition method |
| CN105869230A (en) * | 2016-04-15 | 2016-08-17 | 北京小米移动软件有限公司 | Video data management method and device, terminal and server |
| CN106251681A (en) * | 2016-08-18 | 2016-12-21 | 深圳市永兴元科技有限公司 | Car accident warning system and method |
| CN106960604A (en) * | 2017-04-27 | 2017-07-18 | 成都新橙北斗智联有限公司 | A kind of car networking road method for early warning and system based on the Big Dipper |
| WO2017134897A1 (en) * | 2016-02-02 | 2017-08-10 | ソニー株式会社 | Video processing apparatus and video processing method |
| CN107507297A (en) * | 2017-08-03 | 2017-12-22 | 鄂尔多斯市普渡科技有限公司 | The countermeasure of traffic accident occurs for a kind of unmanned taxi |
| CN107895410A (en) * | 2017-11-08 | 2018-04-10 | 广东翼卡车联网服务有限公司 | A kind of car accident report process method, storage device and car-mounted terminal |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101105892A (en) * | 2007-07-30 | 2008-01-16 | 深圳市融合视讯科技有限公司 | Vehicle traffic accident automatic detection method |
| CN101179710B (en) * | 2007-11-30 | 2010-12-08 | 浙江工业大学 | Intelligent video monitoring apparatus of railway crossing |
| US8922364B2 (en) * | 2011-08-26 | 2014-12-30 | Zoll Medical Corporation | Rescue time tracker |
| JP5786901B2 (en) * | 2013-06-20 | 2015-09-30 | 株式会社デンソー | Accident reporting system |
| CN103839408B (en) * | 2014-02-25 | 2015-12-02 | 中国科学院自动化研究所 | A kind of traffic hazard auxiliary process system and method |
| US9818239B2 (en) * | 2015-08-20 | 2017-11-14 | Zendrive, Inc. | Method for smartphone-based accident detection |
| US9922523B2 (en) * | 2016-02-18 | 2018-03-20 | E3 Co., Ltd. | Emergency reporting system |
| CN205862382U (en) * | 2016-06-28 | 2017-01-04 | 南京鑫禾智能科技有限公司 | A kind of electric motor car with drive recorder |
| CN106303092B (en) * | 2016-10-20 | 2019-07-02 | 昆山国显光电有限公司 | The danger early warning method and mobile terminal of mobile terminal |
| CN106534523A (en) * | 2016-10-28 | 2017-03-22 | 维沃移动通信有限公司 | Mobile terminal danger early-warning method, and mobile terminal |
-
2018
- 2018-08-06 CN CN201810886170.2A patent/CN108711202B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103903406A (en) * | 2012-12-30 | 2014-07-02 | 王方淇 | Emergency monitoring and notifying method and system |
| CN105828020A (en) * | 2015-01-04 | 2016-08-03 | 中国移动通信集团辽宁有限公司 | Accident reduction control method and accident reduction control system based on Internet of vehicles |
| CN105849790A (en) * | 2015-10-16 | 2016-08-10 | 华为技术有限公司 | Road condition information acquisition method |
| WO2017134897A1 (en) * | 2016-02-02 | 2017-08-10 | ソニー株式会社 | Video processing apparatus and video processing method |
| CN105869230A (en) * | 2016-04-15 | 2016-08-17 | 北京小米移动软件有限公司 | Video data management method and device, terminal and server |
| CN106251681A (en) * | 2016-08-18 | 2016-12-21 | 深圳市永兴元科技有限公司 | Car accident warning system and method |
| CN106960604A (en) * | 2017-04-27 | 2017-07-18 | 成都新橙北斗智联有限公司 | A kind of car networking road method for early warning and system based on the Big Dipper |
| CN107507297A (en) * | 2017-08-03 | 2017-12-22 | 鄂尔多斯市普渡科技有限公司 | The countermeasure of traffic accident occurs for a kind of unmanned taxi |
| CN107895410A (en) * | 2017-11-08 | 2018-04-10 | 广东翼卡车联网服务有限公司 | A kind of car accident report process method, storage device and car-mounted terminal |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108711202A (en) | 2018-10-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108711202B (en) | Traffic accident rescue system based on big data | |
| CN108922166B (en) | Traffic accident rescue method based on big data | |
| US10308222B2 (en) | Vehicle security system | |
| US10061013B2 (en) | Mobile gunshot detection | |
| CN101857008B (en) | Active-mode intelligent safety monitoring instrument for car | |
| KR20100073893A (en) | Black box for a car, method and system for manegenet traffic accident using the same | |
| CN110503802A (en) | Driving accident judgment method and system based on automobile data recorder | |
| KR101035488B1 (en) | Collecting Method of Video Data Car Blackbox | |
| CN105049785A (en) | Vehicle driving safety monitoring terminal, system and method | |
| CN104169155A (en) | Multi-vehicle surveillance system | |
| CN201111726Y (en) | Motor vehicle peccancy electronic monitoring system | |
| CN103383809A (en) | System for emergency vehicle rescue and identity recognition and application method | |
| CN106920293A (en) | The automatic log analysis methodology of car accident | |
| CN106529401A (en) | Vehicle anti-tracking method, vehicle anti-tracking device and vehicle anti-tracking system | |
| CN103177592B (en) | Vehicle cloud intelligence system and implementing method thereof | |
| JP6655318B2 (en) | Vehicle security system | |
| CN104318641A (en) | Automobile data recorder and vehicle alarming method | |
| CN111818160A (en) | Vehicle-mounted machine equipment | |
| JP2021182131A (en) | Method, device and system, electronic device, computer readable storage medium and computer program for outputting information | |
| CN110379107A (en) | A kind of public transport travel safety ensuring system and method | |
| CN106114454A (en) | A kind of vehicle alarming system | |
| CN112927089A (en) | Intelligent automobile accident automatic insurance processing method and device and electronic equipment | |
| CN106740667A (en) | The motorcycle antitheft system of intelligent transmission signal according to user distance | |
| CN109712357A (en) | A kind of vehicle safety alarm method and its system | |
| CN106697116A (en) | Motorcycle anti-theft cloud service system |
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 | ||
| CB03 | Change of inventor or designer information |
Inventor after: Liu Jiuping Inventor after: Cheng Dong Inventor after: Tan Rui Inventor after: He Shasha Inventor before: He Shasha |
|
| CB03 | Change of inventor or designer information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20220114 Address after: 200333 room 498, No.2, Lane 88, Wuwei Road, Putuo District, Shanghai Applicant after: Shanghai big data Co.,Ltd. Address before: 063000 Building 2, Fengning garden, Lubei District, Tangshan City, Hebei Province Applicant before: He Shasha |
|
| TA01 | Transfer of patent application right |