CN110853306A - Vehicle anomaly detection and rescue system and method - Google Patents
Vehicle anomaly detection and rescue system and method Download PDFInfo
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- CN110853306A CN110853306A CN201810954984.5A CN201810954984A CN110853306A CN 110853306 A CN110853306 A CN 110853306A CN 201810954984 A CN201810954984 A CN 201810954984A CN 110853306 A CN110853306 A CN 110853306A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
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- 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
- G08B25/006—Alarm destination chosen according to type of event, e.g. in case of fire phone the fire service, in case of medical emergency phone the ambulance
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Abstract
The embodiment of the invention discloses a vehicle abnormity detection and rescue system and a method, belonging to the technical field of vehicles. Wherein the system comprises: the device comprises a parameter acquisition device, a controller and an alarm device, wherein the parameter acquisition device is used for acquiring various current running parameters of the vehicle in real time; the controller is used for analyzing various current running parameters of the vehicle to determine whether the various current running parameters of the vehicle are abnormal or not, if the current running parameters of the vehicle are abnormal, the severity of the abnormality of the vehicle is determined, if the severity of the abnormality of the vehicle is mild, first alarm information is sent to the alarm device, first rescue information is sent to the first rescue client, and if the severity of the abnormality of the vehicle is severe, second alarm information is sent to the alarm device, and second rescue information is sent to the second rescue client; the alarm device is used for giving an alarm. The invention can automatically detect the vehicle abnormity and rescue in time, and improves the use safety of the vehicle.
Description
Technical Field
The invention relates to the technical field of vehicles, in particular to a vehicle abnormity detection and rescue system and a vehicle abnormity detection and rescue method.
Background
With the improvement of living standard, more and more people have bought the car to make things convenient for the trip. The improvement of the technical level of automotive electronics has led to the increasing popularity of electronic control systems in automotive applications. The electric control system can improve the safety, dynamic property, economy and emission performance of the automobile, so that the automobile develops towards the direction of intelligent control. However, in the aspect of monitoring the running state of the vehicle and performing estimation and diagnosis, an off-line method is mainly adopted, that is, after the vehicle has a fault, the vehicle returns to an after-sales maintenance department of a 4S shop of the vehicle or a third-party vehicle maintenance point, a professional maintenance and diagnosis tool equipped by a vehicle manufacturer or a vehicle decoder developed by a third party is used for performing fault diagnosis, a component with the fault is determined, and maintenance is performed according to a maintenance manual. With the continuous development of the automobile industry, microcomputer control systems are increasingly applied to automobile electronic modules, and the performances of safety, reliability, power, economy, environmental protection and the like of automobiles are greatly improved. Meanwhile, with the application of various vehicle-mounted sensors, the electronic structure of the automobile is increasingly complex, the diagnosis and elimination of automobile faults are increasingly difficult, and the automobile is mainly called to a rescue department by a driver when needing emergency rescue.
In summary, the problems of the existing automobile fault detection and rescue are as follows: first, the vehicle cannot detect the specific component that has failed by itself, and therefore cannot send out notification information in time to notify the driver of the vehicle, and therefore the vehicle cannot save oneself in time, and does not have analysis and anticipation and provide an effective solution. In addition, after some automobile faults occur, the rescue speed of accidents is delayed because some serious consequences are generated because rescuers cannot be timely alarmed and contacted. When the rescue vehicle and the rescue personnel arrive, the problem of the vehicle cannot be determined quickly, so that the rescue time is prolonged. Particularly, in a relatively serious traffic accident, drivers in the automobiles often lose the capability of autonomous alarming, and if the drivers do not take the place of alarming in a short period, the accident automobiles cannot give an alarm in time to obtain rescue.
Disclosure of Invention
The invention provides a vehicle abnormity detection and rescue system and a vehicle abnormity detection and rescue method, which can autonomously detect vehicle abnormity and timely rescue, and improve the use safety of vehicles.
The technical scheme is as follows:
the embodiment of the invention provides a vehicle abnormity detection and rescue system, which comprises: the device comprises a parameter acquisition device, a controller and an alarm device, wherein the parameter acquisition device is connected with the controller and is used for acquiring various current running parameters of the vehicle in real time and providing the acquired various current running parameters of the vehicle to the controller; the controller is connected with the alarm device and used for analyzing various current running parameters of the vehicle to determine whether the various current running parameters of the vehicle are abnormal or not, if the current running parameters of the vehicle are abnormal, the severity of the abnormal vehicle is determined according to the abnormal current running parameters of the vehicle, if the severity of the abnormal vehicle is slight, first alarm information is sent to the alarm device, first rescue information is sent to the first rescue client, and if the severity of the abnormal vehicle is severe, second alarm information is sent to the alarm device, and second rescue information is sent to the second rescue client; and the alarm device is used for giving an alarm according to the first alarm information and the second alarm information sent by the controller.
In a preferred embodiment of the present invention, the controller includes an abnormality determining unit, where the abnormality determining unit of the controller is configured to compare each current driving parameter of the vehicle with a corresponding normal value range, determine that the current driving parameter of the vehicle that is not within the corresponding normal value range is abnormal if the current driving parameter of the vehicle is not within the corresponding normal value range, and determine that each current driving parameter of the vehicle is not abnormal if each current driving parameter of the vehicle is within the corresponding normal value range.
In a preferred embodiment of the present invention, the controller includes an abnormal degree determining unit, and the abnormal degree determining unit of the controller is configured to pre-establish a final abnormal degree prediction model, input the current driving parameters of the vehicle with the abnormality into the pre-established final abnormal degree prediction model, obtain a prediction result of the abnormal degree, determine that the abnormal severity of the vehicle is light if the prediction result is that the vehicle has a fault, and determine that the abnormal severity of the vehicle is severe if the prediction result is that the vehicle has an accident, where the fault includes at least one of an engine fault, a turn signal fault, and a tire pressure abnormal fault.
In a preferred embodiment of the present invention, the abnormal degree determining unit is further configured to perform data mining and analysis according to various historical driving parameters of the vehicle, clean the historical driving parameters, extract valid data, convert the valid data into standard data, analyze the standard data to obtain data characteristics, sample and divide the standard data into a training set and a test set, establish a plurality of preliminary abnormal degree prediction models on the training set according to the data characteristics, and test the plurality of preliminary prediction models by using the test set to obtain a final abnormal degree prediction model.
In a preferred embodiment of the present invention, the controller is further configured to obtain current position information of the vehicle, obtain a solution corresponding to a mild degree or a severe degree according to the current driving parameter of the vehicle with the abnormality, the severity of the vehicle abnormality, and a pre-stored solution database, send first alarm information to the alarm device if the severity of the vehicle abnormality is a mild degree, and provide the obtained current position information of the vehicle, the obtained solution corresponding to the mild degree, and the current driving parameter of the vehicle with the abnormality to the first rescue client; and if the severity of the vehicle abnormity is severe, sending second alarm information to the alarm device, and providing the acquired current position information of the vehicle, the acquired solution corresponding to the severe degree and the current driving parameters of the vehicle with the abnormity to a second rescue client.
In a preferred embodiment of the present invention, the parameter acquiring device is at least one of an acceleration sensor, a speed sensor, a temperature sensor, a corner sensor, an intake pressure sensor, a hydraulic pressure sensor and a brake pedal position sensor, the current driving parameters of the vehicle include at least one of vehicle driving acceleration, vehicle driving instantaneous speed, vehicle interior temperature, vehicle corner, vehicle intake pressure, vehicle hydraulic pressure and vehicle brake pedal position parameters, the first warning information includes current driving parameters of the vehicle with abnormality, severity of the abnormality is mild and solution, the second warning information includes current driving parameters of the vehicle with abnormality, severity of the abnormality is severe and solution, the first rescue information includes first warning information and current position information of the vehicle, the second rescue information includes first warning information and current position information of the vehicle, the first rescue client is a client of an automobile maintenance enterprise, and the second rescue client is a client of a hospital, a client of a police department or a client of an insurance company.
In a preferred embodiment of the present invention, the vehicle abnormality detection and rescue system further includes a terminal device, and the controller includes an inquiry unit, where the inquiry unit is configured to send an inquiry instruction to the terminal device to inquire whether the terminal device performs rescue, and if the reply information of the terminal device is not received after a period of time, send the second rescue information to the second rescue client.
The embodiment of the invention provides a vehicle abnormity detection and rescue method, which comprises the following steps: the method comprises the steps that current running parameters of a vehicle are collected in real time through a parameter acquisition device, and the collected current running parameters of the vehicle are provided to a controller; analyzing each current running parameter of the vehicle through the controller to determine whether each current running parameter of the vehicle is abnormal, if the current running parameter of the vehicle is abnormal, determining the severity of the vehicle abnormality according to the current running parameter of the vehicle with the abnormality, if the severity of the vehicle abnormality is slight, sending first alarm information to the alarm device, and sending first rescue information to a first rescue client, and if the severity of the vehicle abnormality is severe, sending second alarm information to the alarm device, and sending second rescue information to a second rescue client; and alarming according to the first alarm information and the second alarm information sent by the controller through the alarm device.
In a preferred embodiment of the present invention, the method further comprises: obtaining current position information of a vehicle through the controller, obtaining a solution corresponding to mild or severe according to the current running parameters of the abnormal vehicle, the severity of the abnormal vehicle and a pre-stored solution database, if the severity of the abnormal vehicle is mild, sending first alarm information to the alarm device, and providing the obtained current position information of the vehicle, the obtained solution corresponding to mild and the current running parameters of the abnormal vehicle to a first rescue client; and if the severity of the vehicle abnormity is severe, sending second alarm information to the alarm device, and providing the acquired current position information of the vehicle, the acquired solution corresponding to the severe degree and the current driving parameters of the vehicle with the abnormity to a second rescue client.
In a preferred embodiment of the present invention, the method further comprises: and sending an inquiry command to the terminal equipment through an inquiry unit of the controller to inquire whether the terminal equipment carries out rescue or not, and if the reply information of the terminal equipment is not received after a period of time, sending second rescue information to a second rescue client.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
acquiring current running parameters of the vehicle in real time through a parameter acquisition device; the controller analyzes current running parameters of the vehicle to determine whether the current running parameters of the vehicle are abnormal or not, if the current running parameters of the vehicle are abnormal, the severity of the abnormality of the vehicle is determined according to the current running parameters of the vehicle with the abnormality, if the severity of the abnormality of the vehicle is slight, first alarm information is sent to the alarm device, first rescue information is sent to the first rescue client, and if the severity of the abnormality of the vehicle is severe, second alarm information is sent to the alarm device, and second rescue information is sent to the second rescue client; the alarm device gives an alarm according to the first alarm information and the second alarm information sent by the controller. Therefore, the abnormity detection of the vehicle can be automatically carried out, the alarm is timely given when the vehicle is abnormal, and the rescue information is timely pushed to the rescue client side to rescue the vehicle, so that the use safety of the vehicle is greatly improved, and the practicability is very high.
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 main block diagram of a vehicle abnormality detection and rescue system provided in a first embodiment of the present invention;
fig. 2 is a main block diagram of a vehicle abnormality detection and rescue system provided in a second embodiment of the present invention;
FIG. 3 is a flowchart of steps of a vehicle abnormality detection and rescue method according to a third embodiment of the present invention;
fig. 4 is a flowchart of steps of a vehicle abnormality detection and rescue method according to a fourth embodiment of the present invention.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description will be given to the vehicle abnormality detection and rescue system and method according to the present invention, and the detailed implementation, structure, features and effects thereof, with reference to the accompanying drawings and preferred embodiments.
The foregoing and other technical and scientific aspects, features and advantages of the present invention will be apparent from the following detailed description of preferred embodiments, which is to be read in connection with the accompanying drawings. While the present invention has been described in connection with the preferred embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but is intended to cover various modifications, equivalent arrangements, and specific embodiments thereof.
First embodiment
Fig. 1 is a main block diagram of a vehicle abnormality detection and rescue system according to a first embodiment of the present invention. The vehicle abnormity detection and rescue system can autonomously detect the vehicle abnormity and timely rescue, and improves the use safety of the vehicle. Referring to fig. 1, the vehicle abnormality detection and rescue system includes: parameter acquisition device 10, controller 11, alarm device 12.
More specifically, the parameter acquiring device 10 is connected to the controller 11, and is configured to acquire current driving parameters of the vehicle in real time, and provide the acquired current driving parameters of the vehicle to the controller 11.
The parameter acquiring device 10 may acquire various current driving parameters of the vehicle in real time, and may be at least one of various types of acquiring devices, such as an acceleration sensor, a speed sensor, a temperature sensor, a rotation angle sensor, an intake pressure sensor, a hydraulic pressure sensor, a brake pedal position sensor, and the like. The current running parameters of the vehicle can comprise at least one of the parameters of vehicle running acceleration, vehicle running instantaneous speed, vehicle interior temperature, vehicle turning angle, vehicle air inlet pressure, vehicle hydraulic pressure, vehicle brake pedal position and the like.
The controller 11 is connected to the alarm device 12, and configured to analyze current driving parameters of the vehicle to determine whether the current driving parameters of the vehicle are abnormal, determine a severity of the abnormality of the vehicle according to the current driving parameters of the vehicle that are abnormal if the current driving parameters of the vehicle are abnormal, send first alarm information to the alarm device 12 and send first rescue information to the first rescue client 13 if the severity of the abnormality of the vehicle is light, send second alarm information to the alarm device 12 and send second rescue information to the second rescue client 14 if the severity of the abnormality of the vehicle is heavy.
Preferably, the controller 11 may further include an abnormality determination unit 110, or an abnormality degree determination unit 111.
The controller 11 analyzes the current driving parameters of the vehicle to determine whether the current driving parameters of the vehicle are abnormal, which may specifically include: the abnormality determining unit 110 of the controller 11 is configured to compare each current driving parameter of the vehicle with a corresponding normal value range, determine that the current driving parameter of the vehicle that is not within the corresponding normal value range is abnormal if the current driving parameter of the vehicle is not within the corresponding normal value range, and determine that each current driving parameter of the vehicle is not abnormal if each current driving parameter of the vehicle is within the corresponding normal value range. In other embodiments, an abnormal value removing method using the existing raleigh criterion method may be adopted, for example, whether each current driving parameter of the vehicle is an abnormal value is determined based on the up-down 3 δ method, or whether each current driving parameter of the vehicle is an abnormal value may be determined using the existing distance-based abnormality detection algorithm, local abnormal factor lof (local external factor) algorithm.
Preferably, the controller 11 determines the severity of the vehicle abnormality according to the current driving parameters of the vehicle in which the abnormality occurs, and specifically may include: the abnormal degree determining unit 111 of the controller 11 is configured to pre-establish a final abnormal degree prediction model, input the current driving parameter of the vehicle with the abnormality into the pre-established final abnormal degree prediction model, and obtain a prediction result of the abnormal degree, determine that the abnormal severity of the vehicle is light if the prediction result indicates that the vehicle has a fault, and determine that the abnormal severity of the vehicle is severe if the prediction result indicates that the vehicle has an accident.
Among them, the abnormal degree determination unit 111 of the controller 11 determines the abnormal degree of severity of the vehicle to be mild when it is predicted that the vehicle is out of order, and determines the abnormal degree of severity of the vehicle to be severe when it is predicted that the vehicle is in accident. When a vehicle has a fault, the current driving parameters of the vehicle detected by the collecting devices in the parameter acquiring device 10 are usually different from normal value ranges. The failure may include at least one of a failure of an engine, a failure of a turn signal, an abnormal tire pressure failure, and the like. When an accident occurs to the vehicle, the current driving parameters of the vehicle will be increased or decreased rapidly, and generally speaking, whether the current driving parameters of the vehicle are changed rapidly or not is detected through the abnormal degree prediction model, so that whether the accident occurs to the vehicle or not can be judged.
When the abnormality degree determination unit 111 of the controller 11 establishes the abnormality degree prediction model in advance, the establishment may be performed by adopting the following procedure: the abnormal degree determining unit 111 of the controller 11 is configured to perform data mining and analysis according to various historical driving parameters of the vehicle, clean the historical driving parameters, extract valid data, convert the valid data into standard data, analyze the standard data to obtain data characteristics, sample and divide the standard data into a training set and a test set, establish a plurality of preliminary abnormal degree prediction models on the training set according to the data characteristics, and test the plurality of preliminary abnormal degree prediction models by using the test set to obtain a final abnormal degree prediction model.
Wherein, the abnormal degree determining unit 111 of the controller 11 cleans the historical driving parameters, and extracting the valid data may include: the abnormality degree determination unit 111 of the controller 11 filters out unsatisfactory data from the historical driving parameters to obtain filtered valid data. Wherein unsatisfactory data may be deleted from the historical driving parameters, the unsatisfactory data may include incomplete data, erroneous data, repetitive data, and the like.
The conversion of the valid data into the standard data by the abnormality degree determination unit 111 of the controller 11 may include: the abnormality degree determination unit 111 of the controller 11 converts the time in the valid data into a standard time, converts a field that cannot be processed by the machine learning algorithm used in the subsequent training into a field that can be processed, and the like. The standard data may then be analyzed to determine data characteristics of the standard data, which may include, for example, time characteristics, field characteristics, data quantity characteristics, etc., for example, one of the data characteristics may be a time when an abnormality occurs in the vehicle. The training set is used for establishing a preliminary prediction model, and the testing set is used for testing the preliminary prediction model so as to enable the preliminary prediction model to be more optimized.
Preferably, the abnormal degree determining unit 111 of the controller 11 establishes a preliminary abnormal degree prediction model on the training set according to the data features, and specifically may include: the abnormal degree determining unit 111 of the controller 11 selects a corresponding algorithm and sets parameter values according to the data characteristics to establish a preliminary abnormal degree prediction model on the training set.
The algorithm may be a common machine learning algorithm, and includes a supervised algorithm and an unsupervised algorithm, for example. Supervised algorithms may include logistic regression, linear regression, support vector machines, decision tree algorithms, and the like; unsupervised algorithms may include K-means clustering, and the like. The modeling can be performed by the algorithm and the parameter values set by the algorithm. And testing the established preliminary abnormal degree prediction model on a test set, and determining whether the preliminary abnormal degree prediction model is further optimized and how to optimize according to the test result. And finally, selecting the optimal preliminary abnormal degree prediction model as the final abnormal degree prediction model according to the test result of the preliminary abnormal degree prediction model on the test set, for example, the error obtained on the test set is smaller than a preset error threshold value. The abnormal degree is predicted by the machine learning algorithm, so that the prediction precision and accuracy can be greatly improved.
Preferably, the controller 11 is further configured to obtain current position information of the vehicle, obtain a solution corresponding to mild or severe according to the current driving parameter of the vehicle with the abnormality, the severity of the vehicle abnormality, and a solution database stored in advance, send first alarm information to the alarm device 12 if the severity of the vehicle abnormality is mild, and provide the obtained current position information of the vehicle, the obtained solution corresponding to mild, and the current driving parameter of the vehicle with the abnormality to the first rescue client 13; if the severity of the vehicle abnormality is severe, second alarm information is sent to the alarm device 12, and the acquired current position information of the vehicle, the acquired solution corresponding to the severe degree and the current driving parameters of the vehicle with the abnormality are provided to the second rescue client 14.
The vehicle-mounted positioning system may obtain current position information of the vehicle, for example, longitude and latitude and other information, the controller 11 may further obtain the reason and the solution of the vehicle problem by obtaining the current position information of the vehicle obtained by the vehicle-mounted positioning system, according to the current driving parameter of the vehicle with the abnormality, the severity of the vehicle abnormality and a pre-stored solution database, the solution database may store the current driving parameter of the vehicle with the abnormality, the severity of the vehicle abnormality, the reason of the vehicle problem and a solution comparison table, and the reason of the problem and the corresponding solution of the degree or the severity can be obtained by comparing the current driving parameter of the vehicle with the abnormality, the severity of the vehicle abnormality and the comparison table.
The first warning information may include a current running parameter of the vehicle in which the abnormality occurs, a severity of the abnormality being mild, a solution, and the like. The second warning information may include the current driving parameter of the vehicle in which the abnormality occurs, the severity of the abnormality being severe, a solution, and the like. The first rescue information may include first alarm information, current position information of the vehicle, and the like, and the second rescue information may include the first alarm information, the current position information of the vehicle, and the like. The controller 11 may be a controller disposed in a cloud server or a controller disposed in a vehicle, and the parameter acquiring device 10 and the alarm device 12 are disposed in the vehicle.
The first rescue client 13 may be a vehicle maintenance enterprise client, and the controller 11 sends the first rescue information to the first rescue client 13, so that the first rescue client can be contacted with the vehicle maintenance enterprise client in time, and corresponding personnel at the rescue client can prepare for maintenance in time, or under the condition that an abnormal vehicle cannot reach the vehicle maintenance enterprise, the corresponding personnel at the rescue client can arrive at the vehicle position as soon as possible, and property loss caused by vehicle abnormality is avoided as much as possible.
The second rescue client 14 may be a client of a hospital, a client of a police station, or a client of an insurance company, so that related rescuers capable of handling the accident can be contacted in time, the rescue speed of the accident is effectively increased, and casualties and property loss are reduced as much as possible. After receiving the rescue information, the rescuers at second rescue client 14 dispatch rescue vehicles according to the geographical location information in the rescue information. And sending the position information to a rescue vehicle, and carrying out rescue by the rescue vehicle according to the position information. For example, second rescue client 14 may query a hospital, a police station, an insurance company, or the like closest to the current position of the vehicle based on the current position of the vehicle, and dispatch the hospital, the police station, the insurance company, or the like closest to the current position of the vehicle to rescue the vehicle. Because the rescue information comprises the solution, the rescuers of the first rescue client or the second rescue client can also prepare rescue equipment and a solution according to the solution of the vehicle so as to quickly find the problem of the vehicle.
And the alarm device 12 is connected with the controller 11 and used for giving an alarm according to the first alarm information and the second alarm information sent by the controller 11.
When the vehicle is abnormal, the alarm device 12 gives an alarm to automatically and timely remind the owner of the abnormal vehicle, so that the loss caused by the abnormal vehicle is avoided.
In summary, in the vehicle abnormality detection and rescue system provided by the embodiment of the invention, the current driving parameters of the vehicle are collected in real time through the parameter acquisition device; the controller analyzes current running parameters of the vehicle to determine whether the current running parameters of the vehicle are abnormal or not, if the current running parameters of the vehicle are abnormal, the severity of the abnormality of the vehicle is determined according to the current running parameters of the vehicle with the abnormality, if the severity of the abnormality of the vehicle is slight, first alarm information is sent to the alarm device, first rescue information is sent to the first rescue client, and if the severity of the abnormality of the vehicle is severe, second alarm information is sent to the alarm device, and second rescue information is sent to the second rescue client; the alarm device gives an alarm according to the first alarm information and the second alarm information sent by the controller. Therefore, the abnormity detection of the vehicle can be automatically carried out, the alarm is timely given when the vehicle is abnormal, and the rescue information is timely pushed to the rescue client side to rescue the vehicle, so that the use safety of the vehicle is greatly improved, and the practicability is very high.
Second embodiment
Fig. 2 is a main block diagram of a vehicle abnormality detection and rescue system according to a second embodiment of the present invention. Referring to fig. 2, it is similar to the vehicle abnormality detection and rescue system shown in fig. 2, except that the vehicle abnormality detection and rescue system may further include a terminal device 21, and the controller 11 may further include an inquiry unit 201.
Specifically, the query unit 201 of the controller 11 is configured to send a query instruction to the terminal device 21 to query whether the terminal device 21 performs rescue, and if the reply information of the terminal device 21 is not received after a period of time, send second rescue information to the second rescue client 14. The terminal device 21 is configured to reply according to the query instruction.
The terminal device may be a terminal device disposed on a vehicle, and may be a mobile phone or the like. The inquiry unit 201 of the controller 11 sends an inquiry command to the terminal device 21 to inquire whether the terminal device 21 is for rescue, if the vehicle driver selects rescue by operating the terminal device 21, second rescue information may be sent to the second rescue client 14, and if the vehicle driver does not operate the terminal device 21 for a certain period of time and selects rescue, it indicates that the vehicle driver may have life danger and cannot respond in time, so if the vehicle driver does not receive the response information of the terminal device 21 after a certain period of time (for example, after 2 minutes), the vehicle driver immediately sends the second rescue information to the second rescue client 14 to send help to the outside, thereby ensuring the safety of the vehicle driver.
In summary, the vehicle abnormality detection and rescue system provided in the embodiment of the present invention further sends an inquiry command to the terminal device 21 through the inquiry unit 201 of the controller 11 to inquire whether the terminal device 21 performs rescue, and if the reply information of the terminal device 21 is not received after a period of time, sends the second rescue information to the second rescue client 14, so as to ensure the safety of the vehicle driver to the greatest extent.
The following are embodiments of the method of the present invention, details of which are not described in detail in the apparatus embodiments, and reference may be made to the corresponding apparatus embodiments described above.
Third embodiment
Fig. 3 is a flowchart illustrating steps of a vehicle abnormality detection and rescue method according to a third embodiment of the present invention. Referring to fig. 3, the vehicle abnormality detection and rescue method of the present embodiment may include the following steps 301-306.
step 304, sending first alarm information to an alarm device through a controller, sending first rescue information to a first rescue client, and performing step 306;
and step 306, alarming according to the first alarm information and the second alarm information sent by the controller through the alarm device.
Preferably, in step 302, analyzing, by the controller, the current driving parameters of the vehicle to determine whether the current driving parameters of the vehicle are abnormal may specifically include: comparing each current running parameter of the vehicle with the corresponding normal value range, if the current running parameter of the vehicle is not in the corresponding normal value range, determining that the current running parameter of the vehicle which is not in the corresponding normal value range is abnormal, and if the current running parameter of the vehicle is in the corresponding normal value range, determining that each current running parameter of the vehicle is not abnormal.
Preferably, in step 303, determining the severity of the vehicle abnormality according to the current driving parameter of the vehicle with the abnormality, which may specifically include: and (3) a final abnormal degree prediction model is established in advance, current running parameters of the abnormal vehicle are input into the pre-established final abnormal degree prediction model to obtain a prediction result of the abnormal degree, if the prediction result is that the vehicle has a fault, the abnormal severity of the vehicle is determined to be light, if the prediction result is that the vehicle has an accident, the abnormal severity of the vehicle is determined to be severe, and the fault comprises at least one of an engine fault, a steering lamp fault and a tire pressure abnormal fault.
Preferably, the step 303-305 may further include:
determining the severity of the vehicle abnormality according to the current driving parameters of the abnormal vehicle, acquiring the current position information of the vehicle through a controller, and obtaining a solution corresponding to the mild degree or the severe degree according to the current driving parameters of the abnormal vehicle, the severity of the vehicle abnormality and a pre-stored solution database;
if the severity of the vehicle abnormality is mild, sending first alarm information to an alarm device, and providing the acquired current position information of the vehicle, the acquired mild corresponding solution and the abnormal current driving parameters of the vehicle to a first rescue client;
and if the severity of the vehicle abnormity is severe, sending second alarm information to the alarm device, and providing the acquired current position information of the vehicle, the acquired solution corresponding to the severe degree and the current driving parameters of the vehicle with the abnormity to a second rescue client.
In summary, according to the vehicle abnormality detection and rescue method provided by the embodiment of the invention, the current driving parameters of the vehicle are collected in real time through the parameter acquisition device; the controller analyzes current running parameters of the vehicle to determine whether the current running parameters of the vehicle are abnormal or not, if the current running parameters of the vehicle are abnormal, the severity of the abnormality of the vehicle is determined according to the current running parameters of the vehicle with the abnormality, if the severity of the abnormality of the vehicle is slight, first alarm information is sent to the alarm device, first rescue information is sent to the first rescue client, and if the severity of the abnormality of the vehicle is severe, second alarm information is sent to the alarm device, and second rescue information is sent to the second rescue client; the alarm device gives an alarm according to the first alarm information and the second alarm information sent by the controller. Therefore, the abnormity detection of the vehicle can be automatically carried out, the alarm is timely given when the vehicle is abnormal, and the rescue information is timely pushed to the rescue client side to rescue the vehicle, so that the use safety of the vehicle is greatly improved, and the practicability is very high.
Fourth embodiment
Fig. 4 is a flowchart of steps of a vehicle abnormality detection and rescue method according to a fourth embodiment of the present invention. The method is similar to the vehicle abnormality detection and rescue method shown in fig. 3, and the difference is that, in step 305 of fig. 3, specifically, the following steps may be further substituted: step 401.
The terminal device may be a terminal device disposed on a vehicle, and may be a mobile phone or the like. The inquiry unit 201 of the controller 11 sends an inquiry command to the terminal device 21 to inquire whether the terminal device 21 is for rescue, if the vehicle driver selects rescue by operating the terminal device 21, second rescue information may be sent to the second rescue client 14, and if the vehicle driver does not operate the terminal device 21 for a certain period of time and selects rescue, it indicates that the vehicle driver may have life danger and cannot respond in time, so if the vehicle driver does not receive the response information of the terminal device 21 after a certain period of time (for example, after 2 minutes), the vehicle driver immediately sends the second rescue information to the second rescue client 14 to send help to the outside, thereby ensuring the safety of the vehicle driver.
In summary, the vehicle abnormality detection and rescue method provided by the embodiment of the invention further sends an inquiry command to the terminal device through the inquiry unit to inquire whether the terminal device performs rescue, and if the reply information of the terminal device is not received after a period of time, sends the second rescue information to the second rescue client, thereby ensuring the safety of the vehicle driver to a great extent.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A vehicle abnormality detection and rescue system, characterized in that it comprises: parameter acquisition device, controller and alarm device, wherein,
the parameter acquisition device is connected with the controller and is used for acquiring various current running parameters of the vehicle in real time and providing the acquired various current running parameters of the vehicle to the controller;
the controller is connected with the alarm device and used for analyzing various current running parameters of the vehicle to determine whether the various current running parameters of the vehicle are abnormal or not, if the current running parameters of the vehicle are abnormal, the severity of the abnormal vehicle is determined according to the abnormal current running parameters of the vehicle, if the severity of the abnormal vehicle is slight, first alarm information is sent to the alarm device, first rescue information is sent to the first rescue client, and if the severity of the abnormal vehicle is severe, second alarm information is sent to the alarm device, and second rescue information is sent to the second rescue client;
and the alarm device is used for giving an alarm according to the first alarm information and the second alarm information sent by the controller.
2. The vehicle abnormality detection and rescue system according to claim 1, wherein the controller includes an abnormality determination unit, the abnormality determination unit of the controller is configured to compare various current driving parameters of the vehicle with corresponding normal value ranges, determine that the current driving parameters of the vehicle that are not within the corresponding normal value ranges are abnormal if the current driving parameters of the vehicle are not within the corresponding normal value ranges, and determine that the current driving parameters of the vehicle are not abnormal if the current driving parameters of the vehicle are within the corresponding normal value ranges.
3. The vehicle abnormality detection and rescue system according to claim 1, wherein the controller includes an abnormality degree determination unit, the abnormality degree determination unit of the controller is configured to previously establish a final abnormality degree prediction model, input a current running parameter of the vehicle in which the abnormality occurs into the previously established final abnormality degree prediction model, obtain a prediction result of the abnormality degree, determine that the degree of severity of the vehicle abnormality is mild if the prediction result is that the vehicle has a failure, and determine that the degree of severity of the vehicle abnormality is severe if the prediction result is that the vehicle has an accident, and the failure includes at least one of an engine failure, a turn light failure, and an abnormal tire pressure failure.
4. The vehicle abnormality detection and rescue system according to claim 3, wherein the abnormality degree determination unit is further configured to perform data mining and analysis according to various historical driving parameters of the vehicle, clean the historical driving parameters, extract valid data, convert the valid data into standard data, analyze the standard data to obtain data characteristics, sample and divide the standard data into a training set and a test set, establish a plurality of preliminary abnormality degree prediction models on the training set according to the data characteristics, and test the plurality of preliminary prediction models by using the test set to obtain a final abnormality degree prediction model.
5. The vehicle abnormality detection and rescue system according to claim 1, wherein the controller is further configured to obtain current position information of the vehicle, obtain a solution corresponding to a mild degree or a severe degree according to the current driving parameter of the vehicle in which the abnormality occurs, a severity degree of the vehicle abnormality, and a pre-stored solution database, send first alarm information to the alarm device if the severity degree of the vehicle abnormality is mild, and provide the obtained current position information of the vehicle, the obtained solution corresponding to the mild degree, and the current driving parameter of the vehicle in which the abnormality occurs to the first rescue client; and if the severity of the vehicle abnormity is severe, sending second alarm information to the alarm device, and providing the acquired current position information of the vehicle, the acquired solution corresponding to the severe degree and the current driving parameters of the vehicle with the abnormity to a second rescue client.
6. The vehicle abnormality detection and rescue system according to claim 1, wherein the parameter acquisition means is at least one of an acceleration sensor, a speed sensor, a temperature sensor, a turning angle sensor, an intake pressure sensor, a hydraulic pressure sensor, and a brake pedal position sensor, the current vehicle driving parameters include at least one of vehicle driving acceleration, vehicle driving instantaneous speed, in-vehicle temperature, vehicle turning angle, vehicle intake pressure, vehicle hydraulic pressure, and vehicle brake pedal position parameters, the first warning information includes a current vehicle driving parameter with abnormality, severity of abnormality is mild, a solution, the second warning information includes a current vehicle driving parameter with abnormality, severity of abnormality is severe, a solution, the first rescue information includes first warning information and current vehicle position information, the second rescue information comprises first alarm information and current position information of the vehicle, the first rescue client is a client of an automobile maintenance enterprise, and the second rescue client is a client of a hospital, a client of a police station or a client of an insurance company.
7. The vehicle abnormality detection and rescue system according to claim 1, further comprising a terminal device, wherein the controller includes an inquiry unit configured to send an inquiry command to the terminal device to inquire whether the terminal device performs rescue, and if the reply message from the terminal device is not received after a period of time, send the second rescue message to the second rescue client.
8. A vehicle abnormality detection and rescue method characterized by comprising:
the method comprises the steps that current running parameters of a vehicle are collected in real time through a parameter acquisition device, and the collected current running parameters of the vehicle are provided to a controller;
analyzing various current running parameters of the vehicle through the controller to determine whether the various current running parameters of the vehicle are abnormal or not;
if the current running parameters of the vehicle are abnormal, determining the severity of the vehicle abnormality according to the abnormal current running parameters of the vehicle;
if the abnormal severity of the vehicle is mild, sending first alarm information to the alarm device, and sending first rescue information to a first rescue client;
if the vehicle abnormal severity is severe, sending second alarm information to the alarm device, and sending second rescue information to a second rescue client;
and alarming according to the first alarm information and the second alarm information sent by the controller through the alarm device.
9. The vehicle abnormality detection and rescue method according to claim 8, characterized by further comprising:
obtaining the current position information of the vehicle through the controller, and obtaining a solution corresponding to the mild degree or the severe degree according to the current running parameters of the vehicle with the abnormality, the severity of the vehicle abnormality and a pre-stored solution database;
if the severity of the vehicle abnormality is mild, sending first alarm information to the alarm device, and providing the acquired current position information of the vehicle, the acquired mild corresponding solution and the abnormal current driving parameters of the vehicle to a first rescue client;
and if the severity of the vehicle abnormity is severe, sending second alarm information to the alarm device, and providing the acquired current position information of the vehicle, the acquired solution corresponding to the severe degree and the current driving parameters of the vehicle with the abnormity to a second rescue client.
10. The vehicle abnormality detection and rescue method according to claim 8, characterized by further comprising: and sending an inquiry command to the terminal equipment through an inquiry unit of the controller to inquire whether the terminal equipment carries out rescue or not, and if the reply information of the terminal equipment is not received after a period of time, sending second rescue information to a second rescue client.
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