CN109466488B - Automatic vehicle collision rescue alarm system - Google Patents
Automatic vehicle collision rescue alarm system Download PDFInfo
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- CN109466488B CN109466488B CN201811256330.1A CN201811256330A CN109466488B CN 109466488 B CN109466488 B CN 109466488B CN 201811256330 A CN201811256330 A CN 201811256330A CN 109466488 B CN109466488 B CN 109466488B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q9/00—Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/01—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents
- B60R21/013—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents including means for detecting collisions, impending collisions or roll-over
- B60R21/0136—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents including means for detecting collisions, impending collisions or roll-over responsive to actual contact with an obstacle, e.g. to vehicle deformation, bumper displacement or bumper velocity relative to the vehicle
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R2021/0027—Post collision measures, e.g. notifying emergency services
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Abstract
The invention provides an automatic rescue alarm system for vehicle collision, which comprises: the vehicle-mounted computer control processing center is used for starting the collision sensor, the infrared detection sensor and the monitoring camera after the vehicle is in active or passive collision; the collision sensor is used for extracting a signal of a collision point, evaluating a traffic accident result according to the calculation model and sending corresponding data to the vehicle-mounted computer control processing center; the infrared detection sensor is used for detecting the interior of the vehicle after being started, and sending out personnel condition information for the vehicle-mounted computer control processing center to make decision data basis according to the body and action condition of passengers in the vehicle; the monitoring camera is used for shooting and recording the scene inside and outside the vehicle and synchronously transmitting the scene to the cloud server and the background data processing center; and the information alarm processor is used for sending out corresponding alarm signals according to the instructions of the vehicle-mounted computer control processing center. The invention can accurately and timely inform relevant units of the severity and the field condition of the vehicle accident.
Description
Technical Field
The invention belongs to the technical field of automobile safety, and particularly relates to an automatic vehicle collision rescue alarm system.
Background
With the development of economy and the improvement of the living standard of people, automobiles become indispensable vehicles in modern society. In recent years, the traffic volume of road traffic is increasing day by day, and the high-speed development of the automobile industry brings convenience to people and simultaneously the traffic safety becomes a focus of increasing attention of people. The passive protection safety technology has been gradually popularized, and the active safety technology of the vehicle capable of providing the early warning function is being developed. Research considers that problems such as dangerous road sections, severe weather, dangerous driving behaviors of drivers, reaction capability and the like are main causes of accidents, and the active safety system of the vehicle is a fundamental way to solve the problems. The vehicle-mounted safety system has a small relationship with the automobile, relatively low development cost and wide application environment, and therefore becomes a hot spot of new research.
In the past, traffic safety has been regarded as impact safety, which is passive safety for minimizing the degree of injury in the event of an accident, and for example, airbags, head cushions, seat belt pretensioning, and impact absorption performance of a vehicle body, etc. the trend of future traffic safety is "safety prevention", which is active safety, i.e., "protection from the weather".
The system adopts a millimeter wave radar and a camera double sensor, and improves the identification and reliability, wherein the image processing of the vehicle-mounted camera is also one of important research directions of the vehicle-mounted safety system, and the image processing system is provided with technical devices including a driving line and front vehicle identification camera, an infrared camera, a rear vehicle condition camera, an instantaneous inspection camera and the like.
The utility model patent CN205751184U of China utility model discloses a traffic accident alarm relates to car electronic monitoring and safety guarantee field for solve current alarm and can't let rescue mechanism accurate control accident site situation information, therefore the problem of the unable reasonable arrangement rescue resource of rescue mechanism. The intelligent GPS positioning system comprises a shell, an information collection module, a GPS positioning module, a wireless communication module, a controller, a power supply module and a camera which is positioned on the outer surface of the shell and can rotate for 360 degrees, wherein the information collection module, the GPS positioning module, the wireless communication module, the controller and the power supply module are positioned in the shell; the information collection module, the GPS positioning module, the wireless communication module, the power supply module and the camera are respectively connected with the controller; the information collection module comprises a collision sensor, an inclination sensor, a vibration sensor and a pressure sensor which are respectively connected with the controller; the power supply module comprises a built-in power supply and an external power supply which are respectively connected with the controller. The utility model of this technical scheme can be to rescue mechanism's sending accident scene picture, can communicate with rescue mechanism in real time, make rescue mechanism rationally arrange rescue resources.
The Chinese patent publication No. CN107161097A discloses a vehicle driving intelligent safety system based on a Beidou navigation system, which comprises a vehicle road imaging module, a driver dangerous behavior grade evaluation module, a traffic accident early warning module and a traffic accident warning module. The invention adds a real-time safe vehicle distance calculation method related to the vehicle speed on a collision prevention system to prevent rear-end collision; the function of vehicle road imaging is derived from collision avoidance to the evaluation of the driving behavior of the following vehicles, the active identification and judgment of dangerous road sections are carried out, and the judgment of the driving hidden danger is enriched; after the car accident, car accident information can be pushed outwards, so that various emergency treatment activities can be carried out, and the rescue and field treatment efficiency can be improved; the sensor has comprehensive functions, can overcome the influence of various severe weather on the operation of equipment, and has the function of judging the level of a traffic accident and reducing the occurrence of accidents; the Beidou system can break the monopoly of the GPS system in the field, combines the functions of accurate positioning and short message communication into a whole, and has various advantages. As shown in fig. 1, the car accident alarm module judges that the current driving distance is abnormal for the user, and if the car accident risk exists, an alarm is given out through voice to prompt the user to pay attention to keeping distance or reducing speed; and when the distance between the vehicles is recovered to be normal, the alarm is released. The traffic accident alarm module comprises a traffic accident collision degree measuring function, a vehicle rollover condition measuring function, a vehicle damage condition observing function and a traffic accident message pushing function. The car accident collision degree measuring function is realized by using a collision sensor, and the collision sensor can detect the intensity signal of car collision. The traffic accident alarm module processes the intensity signal of the automobile collision to judge the traffic accident condition. The vehicle rollover condition measuring function is realized by using the MEMS gyroscope and the accelerometer, and the MEMS gyroscope and the accelerometer are used for judging the vehicle rollover condition by measuring the attitude of the vehicle. The vehicle damage condition observation function is realized by the vehicle-mounted camera, and the traffic accident alarm module processes images acquired by the vehicle-mounted camera and judges the vehicle damage condition. The function of pushing traffic accident messages is realized by combining a traffic accident grade database, an internet of vehicles system and a Beidou system, and the traffic accident alarm module carries out comprehensive processing on the data of traffic accident collision degree, vehicle rollover conditions and vehicle damage conditions to evaluate the traffic accident grade. After the traffic accident occurs, the traffic accident alarming module pushes traffic accident conditions including traffic accident location, time, road congestion conditions and traffic accident grades for nearby vehicles by using the internet of vehicles system, and prompts a user to bypass the traffic accident road to avoid congestion. When the accident is serious, the traffic accident alarming module sends traffic accident information to the police and the medical system through the Beidou short message, and rescue and traffic accident treatment are carried out in time.
However, in the above prior art, the collision sensors of the vehicle are usually only arranged at the head or the tail of the vehicle, the number of the collision sensors is limited, and the number of the collision sensors is usually one to two, so that the judgment of the accident level is rough, the estimation of the severity level of the accident is often inaccurate at the first time, and the delay of the rescue time or the false alarm may be caused.
Disclosure of Invention
In order to solve the problem that the number of the vehicle sensors is small, so that the judgment of a car accident is inaccurate, the invention aims to realize the following technical scheme.
Specifically, according to one aspect of the present invention, there is provided a vehicle collision automatic rescue warning system including:
the vehicle-mounted computer control processing center is used for starting the collision sensor, the infrared detection sensor and the monitoring camera after the vehicle is in active or passive collision;
the collision sensor is used for extracting a signal of a collision point, evaluating a traffic accident result according to the calculation model and sending corresponding data to the vehicle-mounted computer control processing center;
the infrared detection sensor is used for detecting the interior of the vehicle after being started, and sending out personnel condition information for the vehicle-mounted computer control processing center to make decision data basis according to the body and action condition of passengers in the vehicle;
the monitoring camera is used for shooting and recording the scene inside and outside the vehicle and synchronously transmitting the scene to the cloud server and the background data processing center;
and the information alarm processor is used for sending out corresponding alarm signals according to the instructions of the vehicle-mounted computer control processing center.
Preferably, the car accident result includes one or more of the following: the position, area and damage degree of the collision, whether there are members in the relevant position, the number of the members and whether there is the possibility of injury.
Preferably, there are more than twenty collision sensors.
Preferably, the collision sensor is located around the vehicle body and inside the vehicle.
Preferably, the collision sensor detects the force and angle of the collision received by the vehicle, and models the process and severity of the car accident according to the position and parameters of the collision, such as impact force, pressure, speed and the like.
Preferably, the system further comprises a wireless communication module, which is used for sending corresponding information to the cloud server and the background data processing center, and sending information of vehicle collision accidents to a vehicle fixed-point maintenance shop, a vehicle insurance company, a 120 rescue center, a 122 traffic command center and a city traffic broadcasting station respectively according to different degrees of vehicle damage and personnel injury and according to needs and alarm levels.
Preferably, the information alarm processor sends the site time and place and the time period to the cloud big data processing center, and stores the site time and place and the time period as an event record file.
Preferably, the calculation model is a sequential Probit model, and the degree of damage to the vehicle and/or driver is evaluated according to the model:
wherein the content of the first and second substances,
for driving without observabilityEvaluating the damage degree of the member; x is the number ofjiThe method comprises the following steps of obtaining a j-th interpretation variable which influences the damage degree of a driver, such as the driver and the collision type in the ith group of observation data, β 0 is an intercept, β j is a weight value corresponding to the j-th interpretation variable in each group of observation data, and i is a random error value following a standard normal distribution.
Preferably, the collision sensor, the infrared detection sensor and the monitoring camera are started after the vehicle is collided actively or passively for 0.03 second.
Preferably, the twenty or more collision sensors are located at least at the following positions: the vehicle comprises a vehicle head, a vehicle tail, side doors, a bottom bin, a vehicle roof, an engine compartment, an oil way, a vehicle seat, a water tank and/or an oil tank.
The invention has the advantages that: due to the adoption of a large number of collision sensors, the invention can accurately and timely inform relevant units of the severity degree and the field condition of the vehicle accident so as to rescue vehicles or personnel of the accident vehicle as soon as possible and send out relevant early warning to other nearby vehicles, thereby improving the vigilance of drivers and avoiding further occurrence of secondary accidents.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic view illustrating the operation principle of a traffic accident warning module in the prior art;
FIG. 2 illustrates a vehicle exterior view according to an embodiment of the present invention;
fig. 3 is a schematic diagram illustrating an automatic rescue alarm system for vehicle collision according to an embodiment of the present invention.
FIG. 4 shows a sequential Probit model variable description diagram of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The principle of the invention is as follows: as shown in fig. 2, the present invention mounts more than twenty collision sensors around a vehicle body (e.g., a front, a rear, a side door, a bottom compartment, a roof) and inside the vehicle (e.g., an engine compartment, an oil passage, a seat, a water tank, a fuel tank, etc.).
When a vehicle collision accident occurs in the driving process of the vehicle, a collision sensor arranged in the vehicle is automatically started to detect the force and angle of the collision of the vehicle, the model is built for the process and the severity of the traffic accident according to the parameters of the position, the impact force, the pressure, the speed and the like of the collision, data is transmitted to a vehicle-mounted computer, and meanwhile, the functions of video recording inside and outside the vehicle, sound and light alarm of departure and voice prompt are started.
The vehicle built-in camera can record the collision site in real time, and the remote monitoring system can check the conditions of site personnel and the damage condition of the vehicle and provide decision basis.
After the vehicle-mounted computer acquires the collision data, the damage level of the vehicle field and the injury conditions of personnel at different positions are calculated according to the calculation model, and the information of the vehicle collision accident is respectively sent to a vehicle fixed-point maintenance shop, a vehicle insurance company, a 120 rescue center, a 122 traffic command center and a city traffic broadcasting station according to different degrees of the injury of the personnel caused by the vehicle damage within 30 seconds and according to the requirement and the alarm level, so that related personnel are informed to carry out rescue, traffic command detour or deceleration and other information. The personnel can be rescued at the highest speed to dredge the traffic.
Example 1
As shown in fig. 3, the automatic rescue warning system for vehicle collision of the present invention includes:
the vehicle-mounted computer control processing center: 0.03 second after the vehicle is in active or passive collision, the collision sensor is started, and the infrared detection sensor and the monitoring camera are started.
And the collision sensor is used for extracting a signal of a collision point, calculating the position, the area and the collision damage degree of the collision according to the calculation model, calculating whether members exist in the related positions, the number of the members and whether the related positions are injured or not, sending corresponding data to the vehicle-mounted computer after 30 seconds of calculation, and starting the information alarm system after receiving a data instruction.
The infrared detection sensor and the monitoring camera are used for detecting the interior of the vehicle when the infrared detection sensor starts to detect, if a member is found to be in the vehicle, the condition information of the personnel is sent out according to the body and action condition of the member to be used as a decision data basis by the vehicle-mounted computer, meanwhile, the cameras in and out of the vehicle shoot and record the scene, and the scene is synchronously transmitted to the cloud server and the background data processing center.
The information alarm processor starts a wireless communication module when a vehicle-mounted computer acquires the collision situation on site, sends corresponding information to a cloud server and a background data processing center within 30 seconds of infrared detection and site video data, and sends the information of vehicle collision accidents to a vehicle fixed-point maintenance shop, a vehicle insurance company, a 120 ambulance center, a 122 traffic command center and a city traffic broadcasting station respectively according to different degrees of vehicle damage and personnel injury and according to needs and alarm levels, and simultaneously sends the time and place (through GPS positioning) and the time period of the site to a cloud big data processing center to be stored as an event record file.
Example 2
FIG. 4 shows a sequential Probit model variable description diagram of the present invention.
In the embodiment, the vehicle body acceleration and inclination angle signals are detected through a collision sensor, a vehicle-mounted sensor and the like, the occurrence of vehicle collision accidents is monitored in real time, and the collision type is judged; the likelihood of minor or severe damage to the vehicle and/or driver is estimated based on the sequential Probit model. The system can establish the bidirectional connection between a vehicle-mounted GPRS/CDMA mobile network and an Internet network of a call-for-help service center, timely inform the call-for-help service center of information such as a vehicle collision accident GPS place, driver identity, damage degree estimation and the like, and display an accident occurrence place in Google Earth. In addition, the accident service center can remotely know the accident scene information through a vehicle-mounted telephone, a camera and the like.
The damage degree estimation method of the vehicle and/or the driver classifies damage grades of the vehicle and/or the driver into slight damage, serious damage and the like according to common damage conditions of the vehicle and/or the driver. The damage degree of the vehicle and/or the driver has great relation with the condition of the vehicle, the age, the sex, the collision type, whether a safety belt is used or not, and the like, and after being coded, if the slight damage is 0, the serious damage is 1, and the like, the vehicle and/or the driver presents obvious sequential characteristics.
In this embodiment, the sequential Probit model is used to evaluate the degree of damage to the vehicle and/or the driver:
wherein the content of the first and second substances,
an estimate of the extent of driver impairment that is not observable; x is the number ofjiThe method comprises the following steps of obtaining a j-th interpretation variable which influences the damage degree of a driver, such as the driver and the collision type in the ith group of observation data, β 0 is an intercept, β j is a weight value corresponding to the j-th interpretation variable in each group of observation data, and i is a random error value following a standard normal distribution.
Specifically, the gender factor has a smaller influence on the estimated level of the degree of injury of the driver. The use of the safety belt can greatly reduce the possibility of serious injury of the driver, which is closely related to the restraint effect of the safety belt for reducing the first collision and avoiding the second collision. Among the types of collisions, a near-driver-end collision is most likely to cause severe driver injury, followed by a far-driver-end collision, while a tail-end collision causes relatively minimal injury to the driver, consistent with the different levels of different collision types at multiple collision speeds with respect to the degree of injury to occupants. In the vehicle type analysis, the accident of the large and medium-sized trucks is more likely to cause serious damage to the driver than the accident of the passenger car, which is consistent with the accident statistical data of different traffic modes. The model is used for verifying 2011 annual accident case and the Changsha traffic accident case database, and the accuracy rates respectively reach 76.3% and 63.1%. Therefore, it is feasible to use the sequential Probit model to estimate the degree of vehicle or driver impairment, and the resulting regression parameter estimates are also valid.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (8)
1. An automatic rescue alarm system for vehicle collision, comprising:
the vehicle-mounted computer control processing center is used for starting the collision sensor, the infrared detection sensor and the monitoring camera after the vehicle is in active or passive collision;
the collision sensor is used for extracting a signal of a collision point, evaluating a traffic accident result according to the calculation model and sending corresponding data to the vehicle-mounted computer control processing center; the collision sensor detects the collision force and angle of the vehicle, and models the process and severity of the traffic accident according to the collision position and parameters such as impact force, pressure, speed and the like; the calculation model is a sequential Probit model, and the degree of damage of the vehicle and/or the driver is evaluated according to the model:
wherein the content of the first and second substances,
is not observableAn evaluation value of the degree of driver damage of (1); x is the number ofjiβ 0 is an intercept, β j is a weight value corresponding to the jth interpretation variable in each group of observation data, i is a random error value following the standard normal distribution;
the infrared detection sensor is used for detecting the interior of the vehicle after being started, and sending out personnel condition information for the vehicle-mounted computer control processing center to make decision data basis according to the body and action condition of passengers in the vehicle;
the monitoring camera is used for shooting and recording the scene inside and outside the vehicle and synchronously transmitting the scene to the cloud server and the background data processing center;
and the information alarm processor is used for sending out corresponding alarm signals according to the instructions of the vehicle-mounted computer control processing center.
2. The automatic rescue alarm system for vehicle collision according to claim 1, characterized in that:
the car accident result includes one or more of the following: the position, area and damage degree of the collision, whether there are members in the relevant position, the number of the members and whether there is the possibility of injury.
3. The automatic rescue alarm system for vehicle collision according to claim 1, characterized in that:
more than twenty collision sensors are provided.
4. The automatic rescue alarm system for vehicle collision according to claim 1, characterized in that:
the collision sensors are located around the vehicle body and inside the vehicle.
5. The automatic rescue alarm system for vehicle collision according to claim 1, characterized in that:
the system further comprises a wireless communication module which is used for sending corresponding information to the cloud server and the background data processing center, and respectively sending information of vehicle collision accidents to a vehicle fixed-point maintenance shop, a vehicle insurance company, a 120 rescue center, a 122 traffic command center and a city traffic broadcasting station according to different degrees of vehicle damage and personnel injury and according to needs and alarm levels.
6. The automatic rescue alarm system for vehicle collision according to claim 1, characterized in that:
and the information alarm processor sends the time and the place of the site and the time period to a cloud big data processing center and stores the time and the place as an event record file.
7. The automatic rescue alarm system for vehicle collision according to claim 1, characterized in that:
and after the vehicle is collided actively or passively for 0.03 second, the collision sensor, the infrared detection sensor and the monitoring camera are started.
8. The automatic rescue alarm system for vehicle collision according to claim 3, characterized in that: the more than twenty collision sensors are located at least at the following positions: the vehicle comprises a vehicle head, a vehicle tail, side doors, a bottom bin, a vehicle roof, an engine compartment, an oil way, a vehicle seat, a water tank and/or an oil tank.
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| CN110103812A (en) * | 2019-04-10 | 2019-08-09 | 芜湖宏景电子股份有限公司 | The car-mounted terminal and intelligent mobile terminal reverse image system of USB connection |
| DE102019209974B4 (en) * | 2019-07-08 | 2022-06-09 | Volkswagen Aktiengesellschaft | vehicle |
| CN112311821A (en) * | 2019-07-26 | 2021-02-02 | 浙江吉利汽车研究院有限公司 | Traffic accident rescue method and device and automobile |
| CN112785822A (en) * | 2019-11-04 | 2021-05-11 | 深南电路股份有限公司 | Vehicle safety management method and system |
| CN112839297A (en) * | 2019-11-22 | 2021-05-25 | 启碁科技股份有限公司 | Method, mobile device and system for internet of vehicles communication |
| CN112687173B (en) * | 2020-12-25 | 2022-06-21 | 安徽机电职业技术学院 | Automobile collision demonstration platform based on active and passive safety collaborative optimization |
| CN114913691A (en) * | 2021-02-08 | 2022-08-16 | 上海擎感智能科技有限公司 | Vehicle control method, system, vehicle-mounted terminal, automobile and storage medium |
| CN114040552A (en) * | 2021-11-05 | 2022-02-11 | 山西泉城美建筑安装工程有限公司 | Road lighting management method and system |
| CN114333269B (en) * | 2021-12-13 | 2024-05-24 | 中国平安财产保险股份有限公司 | Vehicle accident handling method and device, computer equipment and storage medium |
| CN114312661A (en) * | 2021-12-17 | 2022-04-12 | 大众问问(北京)信息科技有限公司 | Vehicle damage early warning method and device, computer equipment and storage medium |
| CN114241773B (en) * | 2021-12-28 | 2024-03-12 | 福州大学 | Novel rotatory bucket formula wisdom activity guardrail of dividing area opening in highway |
| CN114863712A (en) * | 2022-03-18 | 2022-08-05 | 淮安中科晶上智能网联研究院有限公司 | Remote monitoring method for electric vehicle |
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| EP2284044B1 (en) * | 2009-08-07 | 2014-12-10 | Audi AG | Vehicle and method for operating a parked vehicle with unattended children or animals |
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| CN205220593U (en) * | 2015-11-20 | 2016-05-11 | 山东君越电子科技有限公司 | Vehicle anticollision alarm system |
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