CN117719440A - Automobile signal detection method, system and readable storage medium - Google Patents
Automobile signal detection method, system and readable storage medium Download PDFInfo
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Abstract
The invention discloses an automobile signal detection method, an automobile signal detection system and a readable storage medium, wherein the automobile signal detection method comprises the steps of configuring signal detection scenes and corresponding signal detection conditions, wherein the signal detection scenes at least comprise drift detection scenes, missing detection scenes and mutually exclusive detection scenes; receiving the latest reported automobile signals, and classifying the types of the automobile signals; and according to the type of the automobile signal, matching the automobile signal to a corresponding signal detection scene, and judging whether the automobile signal meets the signal detection condition corresponding to the signal detection scene. The invention solves the problem of inaccurate detection of the automobile signal and improves the detection strength of the health of the automobile signal.
Description
Technical Field
The invention belongs to the field of automobile safety, and particularly relates to an automobile signal detection method, an automobile signal detection system and a readable storage medium.
Background
Along with the development of intelligent automobiles, the functions of the automobiles are more and more, meanwhile, the automobiles need to receive more and more automobile signals in the driving process, the health of the automobile signals can generate larger or smaller functions on the safety inspection and normal use of the automobiles, and the health detection of the automobile signals is very necessary in order to timely avoid the automobile problems caused by the abnormal automobile signals.
In the prior art, aiming at the healthfulness detection of automobile signals, the automobile signals are stopped at global detection and surface detection, the local detection view angle is lacking, the specific detection modes of different types of automobile signals are ignored, the actual connection of the automobile signals with automobile functions, automobile running states, automobile scenes and the like is ignored, the automobile signal detection result is inaccurate, and the automobile safety and the automobile use experience of users are not facilitated.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, an object of the present invention is to provide an automobile signal detection method, system and readable storage medium, which solve the problem of inaccurate automobile signal detection.
In order to achieve the above purpose, the present invention adopts the following technical scheme.
The first aspect of the invention provides an automobile signal detection method, comprising the following steps:
configuring a signal detection scene and corresponding signal detection conditions, wherein the signal detection scene at least comprises a drift detection scene, a missing detection scene and a mutual exclusion detection scene;
receiving the latest reported automobile signals, and classifying the types of the automobile signals;
and matching the automobile signal into a corresponding signal detection scene according to the type of the automobile signal, and judging whether the automobile signal meets the signal detection condition corresponding to the signal detection scene.
As one embodiment of the present invention, the types of the car signals include at least a periodic signal, an event signal, and a vehicle on-line and off-line signal; the matching the automobile signal to the corresponding signal detection scene according to the type of the automobile signal comprises the following steps:
matching the periodic signal to the drift detection scene and/or the missing detection scene according to the type of the automobile signal;
matching the event signal to the mutual exclusion detection scene according to the type of the automobile signal;
and matching the vehicle on-line and off-line signals to the missing detection scene and/or the mutual exclusion detection scene according to the type of the automobile signals.
As one embodiment of the present invention, the determining whether the car signal satisfies the signal detection condition corresponding to the signal detection scene includes:
acquiring latest report point information based on the periodic signal;
acquiring automobile cache data, and acquiring historical datum point information based on the automobile cache data;
acquiring a real distance and a relative distance between the historical datum point and the latest report point based on the historical datum point information and the latest report point information;
judging whether the difference value between the real distance and the relative distance exceeds a preset distance threshold value;
And when the difference value exceeds a preset distance threshold value, namely the periodic signal meets the signal detection condition under the drift detection scene, determining that the vehicle has positioning drift.
As one embodiment of the present invention, the acquiring the true distance and the relative distance between the history reference point and the latest report point based on the history reference point information and the latest report point information includes:
acquiring longitude, latitude, speed, longitudinal acceleration and reporting time from the historical datum point information and the latest reporting point information respectively;
calculating the real distance between the historical datum point and the latest reporting point based on the longitude and the latitude;
and calculating the relative distance between the historical datum point and the latest report point based on the speed, the acceleration and the report time.
As an embodiment of the present invention, the missing detection scene at least includes an integrity scene of vehicle data during charging, an integrity scene of vehicle data during discharging, an integrity scene of vehicle data during vehicle on-line, an integrity scene of vehicle data during vehicle off-line, and a continuity scene of signals during vehicle driving;
the missing detection scene is obtained by judging at least one signal of a charging state, a power mode, a gear mode and a vehicle speed;
The signal detection condition corresponding to the missing detection scene is that at least the relevant parameters of the on-line and off-line signals of the vehicle are missing, or at least the relevant parameters in the periodic signals and the historical periodic signals are missing;
and when the periodic signal to be detected and/or the vehicle on-line and off-line signal meet the signal detection conditions corresponding to the loss detection scene, determining that the signal loss occurs.
As an implementation manner of the present invention, the mutual exclusion detection scene at least includes a mutual exclusion scene of a charging state and a driving state, a mutual exclusion scene of a driving state and a parking state, a mutual exclusion scene of a vehicle component state, a mutual exclusion scene of a vehicle data state and a driving state;
and the signal detection condition corresponding to the mutual exclusion detection scene is that normal signals exist in the two mutually exclusive scenes at the same time and last for a first preset time.
As one embodiment of the present invention, the mutual exclusion detection scene further includes a signal non-update scene;
the signal detection condition corresponding to the mutual exclusion detection scene is that the update time of the event signal and/or the vehicle on-line and off-line signal exceeds a second preset time, and the existence of signal mutual exclusion is judged;
and when the event signal to be detected and/or the vehicle on-line and off-line signal meet the signal detection conditions corresponding to the mutual exclusion detection scene, determining that the signal mutual exclusion occurs.
A second aspect of the present invention provides an alarm method based on the method for detecting an automobile signal according to the first aspect of the present invention, including:
after judging that the automobile signal meets the corresponding signal detection condition, judging whether the reported automobile signal needs to be alarmed or not based on a judgment result;
if the reported automobile signal needs to be alarmed, storing the reported automobile signal into an alarm library, sending the reported automobile signal into a data correction service, and updating the corrected automobile signal into the latest automobile cache data;
if the reported automobile signal does not need to be alarmed, the reported automobile signal is directly updated into the latest automobile cache data.
A third aspect of the present invention provides an automobile signal detection method applied to positioning drift detection, including:
configuring a drift detection scene and corresponding signal detection conditions;
acquiring a periodic signal in an automobile signal according to the type of the automobile signal;
and judging whether the periodic signal meets the signal detection condition corresponding to the drift detection scene.
A fourth aspect of the present invention provides an automobile signal detection method, applied to signal loss detection, including:
Configuring a missing detection scene and corresponding signal detection conditions;
acquiring a periodic signal and/or a vehicle on-line and off-line signal in the automobile signal according to the type of the automobile signal;
selecting a corresponding missing detection scene based on the periodic signal and/or the vehicle on-line and off-line signal;
and judging whether the periodic signal and/or the vehicle on-line and off-line signal meet signal detection conditions corresponding to the missing detection scene.
A fifth aspect of the present invention provides an automotive signal detection method applied to signal mutual exclusion detection, including:
configuring a mutual exclusion detection scene and corresponding signal detection conditions;
acquiring event signals and/or vehicle on-line and off-line signals in the automobile signals according to the types of the automobile signals;
selecting a corresponding mutual exclusion detection scene based on the event signal and/or the vehicle on-line and off-line signal;
and judging whether the event signal and/or the vehicle on-line and off-line signal meet signal detection conditions corresponding to the mutual exclusion detection scene.
A sixth aspect of the present invention provides an automotive signal detection system, comprising:
the pre-configuration unit is at least used for configuring a signal detection scene and corresponding signal detection conditions, wherein the signal detection scene at least comprises a drift detection scene, a missing detection scene and a mutual exclusion detection scene;
The receiving and dividing unit is at least used for receiving the latest reported automobile signals and dividing the types of the automobile signals;
and the matching judging unit is at least used for matching the type of the automobile signal with the corresponding signal detection scene and judging whether the automobile signal meets the signal detection condition corresponding to the signal detection scene.
A seventh aspect of the present invention provides an automotive signal detection system for use in positioning drift detection, comprising:
the first pre-configuration unit is at least used for configuring a drift detection scene and corresponding signal detection conditions;
the first acquisition unit is at least used for acquiring periodic signals in the automobile signals according to the types of the automobile signals;
and the drift detection unit is at least used for judging whether the periodic signal meets the signal detection condition corresponding to the drift detection scene.
An eighth aspect of the present invention provides an automobile signal detection system applied to signal loss detection, including:
the second pre-configuration unit is at least used for configuring a missing detection scene and corresponding signal detection conditions;
the second acquisition unit is at least used for acquiring periodic signals and/or vehicle on-line and off-line signals in the automobile signals according to the types of the automobile signals;
And the missing detection unit is at least used for judging whether the periodic signal and/or the vehicle on-line and off-line signal meet the signal detection condition corresponding to the missing detection scene.
A ninth aspect of the present invention provides an automotive signal detection system, applied to signal mutual exclusion detection, comprising:
the third pre-configuration unit is at least used for configuring a mutual exclusion detection scene and corresponding signal detection conditions;
the third acquisition unit is at least used for acquiring event signals and/or vehicle on-line and off-line signals in the automobile signals according to the types of the automobile signals;
and the mutual exclusion detection unit is at least used for judging whether the event signal and/or the vehicle on-line and off-line signal meet the signal detection condition corresponding to the mutual exclusion detection scene.
A tenth aspect of the present invention provides an electronic apparatus, comprising:
at least one processor; and at least one memory communicatively coupled to the processor, wherein: the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the steps of the method according to any of the first to fifth aspects of the invention.
An eleventh aspect of the present invention provides a readable storage medium storing a computer program for execution by a processor of the steps of the method according to any one of the first to fifth aspects of the present invention.
In summary, compared with the prior art, the invention has at least one of the following beneficial technical effects:
1. according to the invention, the problem of possible change of the automobile in the reported period signal time is considered, a positioning drift detection scene and corresponding drift detection conditions are set, the accuracy of positioning drift detection is improved, and the overall health detection capability of the automobile signal is also improved;
2. the invention considers the essential problem of signal loss, sets a multi-angle loss detection scene, indexes the reasons of signal loss abnormality and improves the accuracy of the automobile signal loss abnormality;
3. according to the invention, the effectiveness problem of the automobile signal is considered, a multi-angle mutual exclusion detection scene is set, and the safety problem caused by erroneous judgment due to the abnormality of the automobile signal is avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of an automobile signal detection method according to an embodiment of the invention.
Fig. 2 is a block diagram of a scenario of an automobile signal detection method according to an embodiment of the present invention.
Fig. 3 is a flowchart of another method for detecting an automobile signal according to an embodiment of the invention.
Fig. 4 is a flow chart of a drift detection method based on an automobile signal according to an embodiment of the invention.
Fig. 5 is a flowchart of a method for detecting a missing signal based on an automobile signal according to an embodiment of the invention.
FIG. 6 is a flow chart of a mutual exclusion detection method based on automobile signals according to an embodiment of the invention.
Fig. 7 is a schematic diagram of an alarm flow of an automobile signal detection method according to an embodiment of the invention.
Fig. 8 is a schematic diagram of an alarm flow of another method for detecting an automobile signal according to an embodiment of the invention.
Fig. 9 is a flowchart of another drift detection method based on an automobile signal according to an embodiment of the invention.
Fig. 10 is a flowchart of another method for detecting a missing signal based on an automobile signal according to an embodiment of the invention.
FIG. 11 is a flow chart of another mutual exclusion detection method based on automobile signals according to an embodiment of the invention.
Fig. 12 is a block diagram of an automotive signal detection system in an embodiment of the invention.
FIG. 13 is a block diagram of a drift detection system based on automotive signals in accordance with one embodiment of the present invention.
FIG. 14 is a block diagram of an automobile signal based deletion detection system in accordance with one embodiment of the present invention.
FIG. 15 is a block diagram of a mutual exclusion detection system based on automotive signals in an embodiment of the invention.
Fig. 16 is a schematic structural view of an electronic device in an embodiment according to the present invention.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, based on the embodiments herein, which are within the scope of the protection of the present application, will be within the skill of the art without inventive effort. Furthermore, it should be understood that the detailed description is presented herein for purposes of illustration and explanation only and is not intended to limit the present application.
It should be noted that the following description order of the embodiments is not intended to limit the preferred order of the embodiments of the present application. In the following embodiments, the descriptions of the embodiments are focused on, and for the part that is not described in detail in a certain embodiment, reference may be made to the related descriptions of other embodiments.
In the using process of the vehicle, three signals are sent out and divided into a vehicle on-line signal, a vehicle off-line signal, a periodic signal and an event signal, wherein the vehicle on-line signal is a data signal sent out when the vehicle is on-line or off-line, and specifically comprises a frame number, a vehicle on-line state, a vehicle state change time and the like, when the vehicle is on-line or off-line, a vehicle shadow service can send out a field message with an isOnLine, when the isOnLine is 1, the isOnLine represents the vehicle on-line, and when the isOnLine is 0, the vehicle off-line represents the vehicle; the periodic signal refers to a state that a vehicle continuously changes along with an event, such as a state of electric quantity, temperature, tire pressure and the like, the change of the signal can reflect the overall situation of the vehicle, the real situation of the vehicle can be observed according to data of continuous multiframes, the signal is uploaded once every 10 seconds, the reported state parameters are fixed every time, and if a certain state parameter is missing, the field is not generated; the event signal refers to a signal that the state of the vehicle changes due to a certain operation, such as a door state, a trunk state, a light state, a power state, etc., and only when some states of the vehicle change, the signal is reported, and only the state that the change occurs is reported.
As shown in fig. 1 and 2, a first aspect of the present invention provides an automobile signal detection method, which includes the following steps.
Step S11: configuring a signal detection scene and corresponding signal detection conditions, wherein the signal detection scene at least comprises a drift detection scene, a missing detection scene and a mutual exclusion detection scene; specifically, in order to ensure that the automobile signal can be effectively and accurately used by a third party after being uploaded, the quality of the automobile signal after being reported needs to be monitored, irregular transitions, integrity and logic accuracy of the automobile signal can be effectively detected by configuring a drift detection scene, a missing detection scene and a mutual exclusion detection scene, in addition, by setting signal detection conditions for each signal detection scene, the automobile signal can be effectively docked with the signal detection conditions after being led into the corresponding signal detection scene, wherein the signal detection conditions corresponding to the drift detection scene are drift detection conditions, the signal detection conditions corresponding to the missing detection scene are missing detection conditions, and the signal detection conditions corresponding to the mutual exclusion detection scene are mutual exclusion detection conditions.
Step S12: and receiving the latest reported automobile signals, and performing type classification on the automobile signals to obtain at least one of periodic signals, event signals and vehicle on-line and off-line signals.
Specifically, the implementation platform of the real-time detection method may be a cloud end, when the vehicle sends out the automobile signal and the automobile signal is reported to the cloud end, different detection purposes are achieved by dividing the types of the automobile signal, and the latest reported signal is received to embody the invention, so that the requirement of real-time detection of the automobile signal can be met.
Step S13: and matching the automobile signal into a corresponding signal detection scene according to the type of the automobile signal, and judging whether the automobile signal meets the signal detection condition corresponding to the signal detection scene.
Specifically, the matching the automobile signal to the corresponding signal detection scene according to the type of the automobile signal includes:
matching the periodic signal to the drift detection scene and/or the missing detection scene according to the type of the automobile signal;
matching the event signal to the mutual exclusion detection scene according to the type of the automobile signal;
and matching the vehicle on-line and off-line signals to the missing detection scene and/or the mutual exclusion detection scene according to the type of the automobile signals.
In other words, when the data reported by the vehicle is the vehicle on-line and off-line signal, the vehicle on-line and off-line signal is subjected to signal missing detection and signal mutual exclusion detection; when the data reported by the vehicle is a periodic signal, carrying out signal missing detection and positioning drift detection on the periodic signal; when the data reported by the vehicle is an event signal, signal mutual exclusion detection is performed on the event signal.
Because of the problems of the problem vehicles or the test vehicles, not all vehicles need to be detected, and the vehicles which do not need to be detected are placed in the detection blacklist by setting the blacklist.
Specifically, after the cloud receives the latest reported automobile signals, before the type of the automobile signals is divided, whether the automobile signals reported at this time need to be checked or not is judged according to the frame numbers in the reported automobile signals, if so, automobile cache data of the automobile are obtained, the automobile signals are subjected to type detection based on the automobile cache data and the type of the automobile signals, whether the automobile signals are abnormal or not is mainly detected, and after detection is completed, the latest data reported at this time are updated into the automobile cache data, so that the detection flow is ended.
Specifically, in the invention, after judging whether the reported automobile signal needs to be checked according to the frame number in the reported automobile signal, the vehicle cache data is read before the type of the automobile signal is divided, so that the automobile cache data is used in a scene that the automobile cache data is possibly combined for detection later.
As shown in fig. 3 and fig. 4, in an embodiment of the present application, the determining whether the automobile signal meets the signal detection condition corresponding to the signal detection scene includes:
Acquiring latest report point information based on the periodic signal;
acquiring automobile cache data, and acquiring historical datum point information based on the automobile cache data;
acquiring a real distance and a relative distance between the historical datum point and the latest report point based on the historical datum point information and the latest report point information;
the drift detection condition is that the difference value between the real distance and the relative distance exceeds a preset distance threshold value;
judging whether the difference value of the real distance and the relative distance exceeds a preset distance threshold value, and determining that the vehicle has positioning drift when the difference value exceeds the preset distance threshold value, namely the periodic signal meets the signal detection condition in a drift detection scene.
In particular, since the periodic signal is a data signal that characterizes changes in the vehicle in real time, the reflected changes in the periodic signal can be used to gauge the vehicle's positioning status.
In the positioning drift detection of the periodic signal, firstly, the latest reporting point information is extracted from the periodic signal, wherein the data information of the latest reporting point at least comprises five data information such as longitude, latitude, speed, longitudinal acceleration and reporting time, and the data information of a historical reference point is extracted from the automobile cache data and corresponds to the data information of the historical reference point at least comprises five data information such as longitude, latitude, speed, longitudinal acceleration and reporting time.
If the longitude or latitude in the latest report point information is null, the data is considered to be invalid data, and the processing is not performed.
If the history datum point data information does not exist in the automobile cache data, the cycle signal reported at the time is directly stored into the new automobile cache data and is not processed.
If the speed is greater than a preset speed, for example, the speed is about 10km/h, it is determined that positioning drift detection is not needed, and if the speed is null or missing, the speed in the last reported periodic signal is used as the speed of the current reported periodic signal to compensate.
As shown in fig. 4, if the longitudinal acceleration of the report data is absent, the calculation is performed using a distance formula of uniform motion when calculating the relative distance, and if the longitudinal acceleration of the report data is absent, the calculation is performed using a distance formula of variable motion when calculating the relative distance.
Specifically, after the historical datum point information is extracted, the longitude and the latitude in the historical datum point information and the longitude and the latitude in the latest report point information are calculated to obtain the real distance between the latest report point and the historical datum point, and then the relative distance between the latest report point and the historical datum point is calculated by using three data information of the speed, the longitudinal acceleration and the report time of the latest report point and the historical datum point, wherein the distance between the longitude and the latitude is calculated by using the earth radius of 6378137m when the real distance is calculated.
Specifically, the relative distance is calculated based onWhereinvIn order to be able to achieve a speed,ain order for the acceleration to be a function of the acceleration,tthe time difference between two uploading of the periodic signal is 10 seconds, because of a certain transient state when the vehicle data is reported, the vehicle cannot be guaranteed to be accelerated or decelerated, in order to alleviate the problem, the speed and the longitudinal acceleration of a historical reference point and the latest reporting point are respectively calculated based on the speed and the longitudinal acceleration, and an average value is calculated, wherein the historical reference point is the previous effective point in the periodic signal reported by the frame (time), and the latest reporting point is the point reported in the latest periodic signal, namely one frame at a time.
The calculation mode can effectively correct the problem that the instantaneous data caused by the snapshot of the vehicle data is inconsistent with the continuous running track of the vehicle, and the reported data is taken into consideration as the snapshot data, so that the vehicle state at the reporting moment can be represented, and the opposite result to the real situation can appear when the calculation of the relative distance is carried out, such as: when the data reported by the vehicle is deceleration movement, the actual data is deceleration carried out at a moment in long-time acceleration running of the vehicle, so that the vehicle can be marked as continuous deceleration running when the relative distance is calculated, and the actual situation is not consistent. Therefore, in order to reduce the negative effect caused by the snapshot data, the distance between the two points is calculated by utilizing the three data information of the speed, the longitudinal acceleration and the reporting time of the latest reporting point and the historical reference point, and the relative distance is obtained by averaging the calculated distances between the two points.
If the difference value between the real distance and the relative distance exceeds a preset distance threshold value, determining that the vehicle has positioning drift; and if the difference value between the real distance and the relative distance does not exceed a preset distance threshold, determining that the vehicle does not have positioning drift, and updating the latest reporting point to be a historical reference point.
For compatibility of errors, by setting the preset distance threshold to be 10 meters, when the relative distance is greater than the real distance by 10 meters, namely the periodic signal meets the signal detection condition in the drift detection scene, the occurrence of positioning drift is judged. In order to protect the safety of the vehicle, the frame data can be stored in an alarm library, the continuous drifting times are updated, the latest reporting point of the time is sent to a positioning correction service for data correction, if the latest reporting point of the time is judged to be not abnormal after calculation is finished, the latest reporting point of the time is stored as a historical reference point, and the latest reporting point of the time is used as the historical reference point when the next periodic signal is reported.
In the process of positioning drift verification, when drift abnormality is found to continuously occur for a certain number of times, the history datum point is judged to have a problem, the history datum point is marked as an abnormal point at the moment, the latest reporting point is updated to be a new history datum point, and the latest reporting point is used as the history datum point when a next periodic signal is reported.
As shown in fig. 2, since the calculated relative distance value is relatively large when the vehicle is traveling at a high speed, the effectiveness of the value is relatively low, and the positioning is concerned more in the case of only traveling at a low speed such as parking in most living scenes, the invention only checks the data of the periodic signal when the vehicle is traveling at a low speed, such as a scene where the vehicle speed is lower than 10km/h, so as to improve the effectiveness of the positioning drift detection and reduce unnecessary calculation power consumption.
As shown in fig. 3 and 5, in an embodiment of the present invention, matching the car signal to a corresponding signal detection scene according to the type of the car signal, and determining whether the car signal meets the signal detection condition corresponding to the signal detection scene includes:
configuring a missing detection scene, and configuring corresponding signal detection conditions, namely missing detection conditions, based on the missing detection scene;
selecting a corresponding missing detection scene based on the periodic signal and/or the vehicle on-line and off-line signal;
the signal detection condition corresponding to the missing detection scene is that at least one relevant parameter of the vehicle on-line and off-line signals is missing, or at least relevant parameters in the periodic signals and the historical periodic signals are missing;
And when the periodic signal to be detected and/or the vehicle on-line and off-line signal meet the signal detection conditions corresponding to the loss detection scene, determining that the signal loss occurs.
Specifically, since the signal loss detection is usually the detection of the conventional signal data of the vehicle, the detection is performed only by using the vehicle cycle data and the vehicle on-line and off-line data, and since there is a certain delay when the vehicle is started or the state is changed, the signal of the vehicle is not judged only according to the current frame data when the vehicle data is reported. In order to eliminate the data signal loss caused by network problems or signal delay, if only one frame of data is lost, the data signal is not recorded as signal abnormality, and only when a certain signal is lost for a plurality of continuous frames, the data signal is recorded as signal abnormality or signal loss. When a signal is found to be missing, the data is recorded in a library and sent to a signal restoration service, and the signal is complemented for other services.
As shown in fig. 2, one implementation of configuring the missing detection scenario may be expressed as dividing the missing detection scenario based on the vehicle situation, where the missing detection scenario includes at least an integrity scenario of vehicle data when a vehicle is on-line, an integrity scenario of vehicle data when the vehicle is off-line, an integrity scenario of vehicle data when charged, an integrity scenario of vehicle data when discharged, and a continuity scenario of signals during vehicle driving.
Before judging that the signal is missing, firstly checking whether the signal used for judging the corresponding scene is missing or not, wherein the missing detection scene cannot be judged due to the fact that the missing detection scene is caused by the missing of the signal, specifically, in the signal missing detection, a plurality of scenes needing to be detected are divided according to the functions of an automobile or the conditions of a vehicle, and the scenes needing to be detected are respectively: integrity of vehicle data when the vehicle is off line, integrity of vehicle data when the vehicle is on line, integrity of vehicle data when charged, integrity of vehicle data when discharged, and continuity of signals during vehicle travel. When the data reported by the vehicle is acquired, firstly, the automobile cache data is acquired to carry out the subsequent flow, and the missing signal is assigned as an empty character string because the missing signal does not appear in the reported automobile signal in the periodic signal.
In an application scene of the invention, scene judgment is carried out by the charge state, the power mode, the gear mode, the vehicle speed and the like of the cycle signal or the vehicle on-line and off-line signal reported at this time, wherein in the scene of vehicle on-line and off-line, whether the vehicle is on-line or off-line normally is judged by the three data of the power mode, the gear mode and the vehicle speed of the vehicle, the integrity of the vehicle data during charging and discharging is that whether the vehicle is in charge or discharge is judged according to the charge state of the vehicle report buffer, and if the vehicle is in charge or discharge, the scene is triggered. The signal continuity scene in the vehicle driving process does not need to be judged by using the signal, and only the time of the signals in the two frames of periods before and after the judgment is needed.
Specifically, the signal detection condition corresponding to the missing detection scene is that at least one relevant parameter of the vehicle on-line and off-line signals is missing, or at least relevant parameters in the periodic signals and the historical periodic signals are missing.
Specifically, the associated parameters are important component parameters related to an integrity scene of vehicle data during charging, an integrity scene of vehicle data during discharging, an integrity scene of vehicle data during vehicle on-line, and an integrity scene of vehicle data during vehicle off-line, such as an integrity scene of vehicle data during vehicle on-line, and a speed, acceleration, electric quantity, temperature, tire pressure, etc. in an integrity scene of vehicle data during vehicle off-line; for example, the integrity scene of the vehicle data at the time of charging, the charging state, the charging time, the electric quantity and the like in the integrity scene of the vehicle data at the time of discharging.
In an application scenario of the present invention, a signal detection condition corresponding to the missing detection scenario is that at least one relevant parameter of a vehicle on-line and off-line signal is missing, and since the vehicle on-line and off-line signal is one of types of vehicle signals that are reported last time and no reporting data should exist after the vehicle is off-line and before the vehicle is on-line, for an integrity scenario of vehicle data when the vehicle is on-line and an integrity scenario of vehicle data when the vehicle is off-line, it is necessary to detect the vehicle on-line and off-line signal that is reported last time by the vehicle, and a signal missing exists in the vehicle on-line signal or the off-line signal of the present frame is: the integrity scene of the vehicle data when the vehicle is on line and the integrity scene of the vehicle data when the vehicle is off line need to detect that at least one signal of signals such as vehicle speed, acceleration, electric quantity, temperature, tire pressure and the like is missing.
In an application scenario of the present invention, the deletion detection condition corresponding to the deletion detection scenario is that there is a deletion of both the periodic signal and the associated parameter in the historical periodic signal, that is, the periodic signal that is continuously reported by the vehicle for multiple times, for example, the periodic signal that is continuously reported twice, and the basis of the signal deletion of the frame periodic signal is: the integrity scene of the vehicle data during charging and the integrity scene of the vehicle data during discharging need to detect that at least one signal of the charging state, the charging time and the electric quantity has a defect in the periodic signal and the historical periodic signal. Wherein, the history periodic signal is the periodic signal existing in the automobile cache data, if the latest reported periodic signal is the firstnThe second reported periodic signal is the first historical periodic signaln-1 a periodic signal reported.
In the detection of signal loss, a plurality of scenes can be detected, for example, the continuity scene of a signal in the running process of a vehicle and the integrity scene of vehicle data in discharging can be detected simultaneously, the abnormal condition of each scene signal is that the signal is lost for a plurality of continuous frames, the signal of each scene can be judged to be abnormal, and the signal of each scene can be only alarmed once in one online, so that whether the signal of each scene of the vehicle reaches the alarm frequency limit is also required to be detected, if all the signals of a certain scene in a cache record are alarmed, the verification of the scene is not carried out, and the alarm frequency is reset when the vehicle sends an online message. Wherein, each uploading represents one frame, and the continuous frame missing represents the missing of the automobile signal which is continuously reported for many times.
In the integrity scene of vehicle data when the vehicle is off line, the integrity scene of vehicle data when the vehicle is on line, the integrity scene of vehicle data when the vehicle is charged, and the integrity scene of vehicle data when the vehicle is discharged, through matching each configured missing detection scene with corresponding missing detection conditions, the missing signal in each missing detection scene is extracted, the missing frequency of the signal is increased by one, if the signal is found to reach a certain continuous missing frequency, the signal is defined as an abnormal signal, all the signals judged to be abnormal at the time are sent out to give an alarm together, and the alarm is stored in an alarm library and is sent to a signal repair service.
In the detection of the signal continuity scene in the vehicle running process, the report time of the current periodic signal, the vehicle on-line time and the report time for searching the last frame of data are obtained to judge together. The last frame of data can be obtained through automobile cache data. If the reporting interval time of the frame period signal exceeds the vehicle on-line time by 25 seconds and exceeds the reporting time of the historical period signal which is the last frame period signal by 25 seconds, that is, at least 2 frames of period signals are not reported by the vehicle after the vehicle is on-line, the abnormal condition that the signal is discontinuous is judged to appear, that is, the signal is missing, the abnormal condition is recorded in a library, and if the signal is not missing in a certain scene, the continuous missing times of all signals in the scene in the cache data are updated to be zero.
As shown in fig. 3 and 6, in an embodiment of the present invention, matching the car signal to a corresponding signal detection scene according to the type of the car signal, and determining whether the car signal meets the signal detection condition corresponding to the signal detection scene includes:
configuring a mutual exclusion detection scene, and configuring corresponding mutual exclusion detection conditions based on the mutual exclusion detection scene;
selecting a corresponding mutual exclusion detection scene based on the event signal and/or the vehicle on-line and off-line signal;
and judging whether the event signal and/or the vehicle on-line and off-line signal meet the corresponding mutual exclusion detection conditions, and judging whether signal mutual exclusion exists or not based on whether the mutual exclusion detection conditions are met.
As shown in fig. 2, one implementation of configuring the mutual exclusion detection scenario may be expressed as dividing the mutual exclusion detection scenario based on a vehicle function or a driving situation, where the mutual exclusion detection scenario at least includes a charge state and driving state mutual exclusion scenario, a driving state and parking state mutual exclusion scenario, a vehicle component state mutual exclusion scenario, a vehicle data state and driving state mutual exclusion scenario, and a signal non-update scenario. Similar to the signal missing detection, before judging the signal mutex, firstly checking whether the signal for judging the corresponding scene has missing or not, wherein the signal missing can cause that the mutex detection scene cannot be judged, and the corresponding scene is the mutex detection scene.
Since the scene checked in this section is typically a scene of a vehicle state transition, this section checks only the vehicle event data and the vehicle on-line and off-line data. Since a certain data delay report exists after the vehicle state is changed, event data can be pushed only when the data is changed, and cannot be detected according to the frame number, the judgment can be generally carried out according to the continuous or changed state time, and if the mutual exclusion of the vehicle state of related signals exists in a target scene and the mutual exclusion of the signals is kept for a certain time when a certain signal is updated, the mutual exclusion of the signals is judged. When the mutual exclusion of the signals is detected, the signals are stored in an alarm library.
Specifically, in configuring the corresponding mutual exclusion detection conditions based on different mutual exclusion detection scenes, the normal state of each mutual exclusion detection scene is configured, if the reported signal is inconsistent with the configured normal signal state, the signal mutual exclusion is judged, but due to the problem of network delay, delay factors are considered when each frame of data is reported.
And in the mutually exclusive scenes of the charging state and the driving state, the mutually exclusive scenes of the driving state and the parking state, the mutually exclusive scenes of the vehicle part state, and the mutually exclusive scenes of the vehicle data state and the driving state, the signal detection condition corresponding to the mutually exclusive detection scene is that normal signals exist in the mutually exclusive two scenes at the same time and last for a first preset time.
For example, in a mutually exclusive scene of a charging state and a driving state, the mutually exclusive detection conditions are specifically as follows: when the vehicle is charged, the charging signal is in charge, and the driving state should be the parking state. And if the reported driving state data is in a non-parking state and does not change after lasting for 25 seconds in the charging state, judging that mutual exclusion of the charging state and the driving state scene occurs.
For example, in a mutually exclusive scene of a driving state and a parking state, the mutually exclusive detection conditions are specifically as follows: if the vehicle speed is greater than 10km/h, and the power mode is in an on state, the driving state is in a parking state and is unchanged for 25 seconds, and the mutual exclusion of the driving state and the parking state scene is judged.
For example, in the vehicle component status mutual exclusion scene, the mutual exclusion detection conditions are combined according to the actual running scene of the vehicle component, so that in the vehicle component status mutual exclusion scene, a plurality of mutual exclusion detection conditions are included, for example, the mutual exclusion detection condition a specifically includes: reporting a low-power signal when the vehicle has sufficient power; the mutual exclusion detection condition B specifically is: when the window full-closing reports the window safety prompt signal and the window full-closing continues for 25 seconds without change, the signal mutual exclusion is judged.
For example, in a mutually exclusive scene of a vehicle data state and a driving state, a plurality of mutually exclusive detection conditions are also included, for example, the mutually exclusive detection conditions are specifically: when the vehicle speed signal is continuously above 40km/h and the power mode is started, the vehicle door signal is reported to be not closed, or when the charging signal is reported, the vehicle door signal is not changed for 25 seconds, and the occurrence of signal mutual exclusion is judged; for example, the mutual exclusion detection conditions are specifically: when the running vehicle reports the offline signal but still continues reporting the signal for 25s, the occurrence of signal mutual exclusion is judged.
In the scenario that the car signal is not updated for a long time, the signal detection condition corresponding to the mutual exclusion detection scenario may also be that the update time of the event signal and/or the car on-line and off-line signal exceeds a second preset time, so as to determine that the signal mutual exclusion occurs. When the update time of the signal to be detected is found to be a certain time without updating, it is determined that the signal is abnormal without updating for a long time.
Therefore, in the long-term non-update scene of the signal, the mutual exclusion detection conditions are combined according to the actual report scene of the signal of the vehicle, so that in the long-term non-update scene of the signal, a plurality of mutual exclusion detection conditions are also included, for example, the mutual exclusion detection conditions are specifically: the electric quantity of the vehicle is a certain value, and the electric quantity is still unchanged for a period of time after the vehicle is on line; the mutual exclusion detection conditions are specifically as follows: when the power-off signal is still reported after the vehicle power-off signal is turned off for a period of time, the signal is judged not to be updated for a long time.
When the event signal to be detected and/or the vehicle on-line and off-line signal meet the mutual exclusion detection condition corresponding to the mutual exclusion detection scene, the occurrence of signal mutual exclusion is indicated, an alarm is required, and the data of the occurrence of signal mutual exclusion, namely mutual exclusion data, is required to be stored in an alarm library.
In the signal missing detection and the signal mutual exclusion detection, if the signal of the scene is judged to be empty, the situation is individually alarmed, and the detection is not continued. In order to check the abnormality degree of the vehicle, the number of alarms of each vehicle in the previous day can be set, and when the alarms of a certain vehicle in the previous day reach a certain number of times, a user message can be set to be sent to inform the user that the abnormality number of the vehicle signal is excessive and the user is recommended to check the vehicle.
As shown in fig. 7 and 8, a second aspect of the present invention provides an alarm method based on the method for detecting an automobile signal according to any one of the embodiments, including:
step S21: after judging whether the automobile signal meets the signal detection condition, judging whether the reported automobile signal needs to be alarmed or not based on a judgment result;
step S22: if the reported automobile signal needs to be alarmed, storing the reported automobile signal into an alarm library, sending the reported automobile signal into a data correction service, and updating the corrected automobile signal into the latest automobile cache data; if the reported automobile signal does not need to be alarmed, the reported automobile signal is directly updated into the latest automobile cache data.
In the alarm library, the automobile signals needing to be alarmed at this time can be selectively stored, for example, the frame number, the abnormal time, the abnormal scene, the abnormal signal data and the detection category can be selectively stored, in order to remind a user that the abnormal state of the automobile is too much, the alarm records of the automobile on the previous day can be scanned at regular time every day, and when the alarm times of a certain automobile in certain detection reach a certain number of times, the automobile owner or the automobile operation and maintenance personnel of the automobile are notified by a message, so that the safety problem caused by the abnormality of the automobile is timely avoided.
As shown in fig. 9, a third aspect of the present invention provides an automobile signal detection method applied to positioning drift detection, including:
step S31: configuring a drift detection scene and corresponding signal detection conditions;
step S32: acquiring a periodic signal in an automobile signal according to the type of the automobile signal;
step S33: and judging whether the periodic signal meets the signal detection condition corresponding to the drift detection scene.
As shown in fig. 10, a fourth aspect of the present invention provides an automobile signal detection method, which is applied to signal loss detection, including:
step S41: configuring a missing detection scene and corresponding signal detection conditions;
Step S42: acquiring a periodic signal and/or a vehicle on-line and off-line signal in the automobile signal according to the type of the automobile signal;
step S43: selecting a corresponding missing detection scene based on the periodic signal and/or the vehicle on-line and off-line signal;
step S44: and judging whether the periodic signal and/or the vehicle on-line and off-line signal meet signal detection conditions corresponding to the missing detection scene.
As shown in fig. 11, a fifth aspect of the present invention provides an automobile signal detection method, applied to signal mutual exclusion detection, comprising:
step S51: configuring a mutual exclusion detection scene and corresponding signal detection conditions;
step S52: acquiring event signals and/or vehicle on-line and off-line signals in the automobile signals according to the types of the automobile signals;
step S53: selecting a corresponding mutual exclusion detection scene based on the event signal and/or the vehicle on-line and off-line signal;
step S54: and judging whether the event signal and/or the vehicle on-line and off-line signal meet signal detection conditions corresponding to the mutual exclusion detection scene.
As shown in fig. 12, a sixth aspect of the present invention provides an automobile signal detection system, comprising:
the pre-configuration unit is at least used for configuring a signal detection scene and corresponding signal detection conditions, wherein the signal detection scene at least comprises a drift detection scene, a missing detection scene and a mutual exclusion detection scene;
The receiving and dividing unit is at least used for receiving the latest reported automobile signals and dividing the types of the automobile signals;
and the matching judging unit is at least used for matching the automobile signal into a corresponding signal detection scene according to the type matching of the automobile signal and judging whether the automobile signal meets the signal detection condition corresponding to the signal detection scene.
Further, in order to ensure the health monitoring requirement of the automobile signal, the automobile signal detection system further comprises an alarm unit, wherein the alarm unit is at least used for determining whether the reported automobile signal needs to be alarmed or not based on a judgment result after judging whether the automobile signal meets the corresponding signal detection condition or not;
if the reported automobile signal needs to be alarmed, the alarm unit stores the reported automobile signal into an alarm library, and sends the reported automobile signal to a data correction service, and the corrected automobile signal is updated into the latest automobile cache data;
if the reported automobile signal does not need to be alarmed, the alarm unit directly updates the reported automobile signal into the latest automobile cache data.
As shown in fig. 13, a seventh aspect of the present invention provides an automotive signal detection system for positioning drift detection, comprising:
the first pre-configuration unit is at least used for configuring a drift detection scene and corresponding signal detection conditions;
the first acquisition unit is at least used for acquiring periodic signals in the automobile signals according to the types of the automobile signals;
and the drift detection unit is at least used for judging whether the periodic signal meets the signal detection condition corresponding to the drift detection scene.
As shown in fig. 14, an eighth aspect of the present invention provides an automobile signal detection system applied to signal loss detection, comprising:
the second pre-configuration unit is at least used for configuring a missing detection scene and corresponding signal detection conditions;
the second acquisition unit is at least used for acquiring periodic signals and/or vehicle on-line and off-line signals in the automobile signals according to the types of the automobile signals;
and the missing detection unit is at least used for judging whether the periodic signal and/or the vehicle on-line and off-line signal meet the signal detection condition corresponding to the missing detection scene.
As shown in fig. 15, a ninth aspect of the present invention provides an automobile signal detection system, applied to signal mutual exclusion detection, comprising:
The third pre-configuration unit is at least used for configuring a mutual exclusion detection scene and corresponding signal detection conditions;
the third acquisition unit is at least used for acquiring event signals and/or vehicle on-line and off-line signals in the automobile signals according to the types of the automobile signals;
and the mutual exclusion detection unit is at least used for judging whether the event signal and/or the vehicle on-line and off-line signal meet the signal detection condition corresponding to the mutual exclusion detection scene.
As shown in fig. 16, a tenth aspect of the present invention provides an electronic device, comprising:
at least one processor; and at least one memory communicatively coupled to the processor, wherein: the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform steps of a method as described in any of the embodiments above.
An eleventh aspect of the present invention provides a readable storage medium storing a computer program for executing the steps of the method according to any one of the embodiments described above by a processor.
The computer readable storage medium may include: any entity or device capable of carrying a computer program, a recording medium, a USB flash disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a software distribution medium, and so forth. The computer program comprises computer program code. The computer program code may be in the form of source code, object code, executable files, or in some intermediate form, among others. The computer readable storage medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a software distribution medium, and so forth.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, system that includes a processing module, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (11)
1. An automobile signal detection method, comprising:
configuring a signal detection scene and corresponding signal detection conditions, wherein the signal detection scene at least comprises a drift detection scene, a missing detection scene and a mutual exclusion detection scene;
receiving a latest reported automobile signal, and classifying the types of the automobile signal, wherein the types of the automobile signal at least comprise a periodic signal, an event signal and an on-line and off-line signal of a vehicle;
matching the periodic signal to the drift detection scene and/or the missing detection scene according to the type of the automobile signal; matching the event signal to the mutual exclusion detection scene according to the type of the automobile signal; matching the vehicle on-line and off-line signals to the missing detection scene and/or the mutual exclusion detection scene according to the type of the automobile signals;
and judging whether the automobile signal meets the signal detection condition corresponding to the signal detection scene.
2. The method according to claim 1, wherein the determining whether the vehicle signal satisfies the signal detection condition corresponding to the signal detection scene includes:
acquiring latest report point information based on the periodic signal;
Acquiring automobile cache data, and acquiring historical datum point information based on the automobile cache data;
acquiring a real distance and a relative distance between the historical datum point and the latest report point based on the historical datum point information and the latest report point information;
judging whether the difference value between the real distance and the relative distance exceeds a preset distance threshold value;
and when the difference value exceeds a preset distance threshold value, the periodic signal meets a signal detection condition in a drift detection scene, and the vehicle is determined to have positioning drift.
3. The automobile signal detection method according to claim 2, wherein the acquiring the true distance and the relative distance between the history reference point and the latest report point based on the history reference point information and the latest report point information includes:
acquiring longitude, latitude, speed, longitudinal acceleration and reporting time from the historical datum point information and the latest reporting point information respectively;
calculating the real distance between the historical datum point and the latest reporting point based on the longitude and the latitude;
and calculating the relative distance between the historical datum point and the latest report point based on the speed, the acceleration and the report time.
4. The method according to claim 1, wherein the missing detection scene includes at least an integrity scene of vehicle data at charging, an integrity scene of vehicle data at discharging, an integrity scene of vehicle data at on-line, an integrity scene of vehicle data at off-line, and a continuity scene of signals during running of the vehicle;
the missing detection scene is obtained by judging at least one signal of a charging state, a power mode, a gear mode and a vehicle speed;
the signal detection condition corresponding to the missing detection scene is that at least one relevant parameter of the vehicle on-line and off-line signals is missing, or at least relevant parameters in the periodic signals and the historical periodic signals are missing;
and determining that signal loss occurs when the periodic signal to be detected and/or the vehicle on-line and off-line signal meet the signal detection conditions corresponding to the loss detection scene.
5. The method according to claim 1, wherein the mutually exclusive detection scene at least includes a charge state and driving state mutually exclusive scene, a driving state and parking state mutually exclusive scene, a vehicle part state mutually exclusive scene, a vehicle data state and driving state mutually exclusive scene;
And the signal detection condition corresponding to the mutual exclusion detection scene is that normal signals exist in the two mutually exclusive scenes at the same time and last for a first preset time.
6. The method for detecting an automobile signal according to claim 1, wherein the mutual exclusion detection scene includes at least a signal non-update scene;
the signal detection condition corresponding to the mutual exclusion detection scene is that the update time of the event signal and/or the vehicle on-line and off-line signal exceeds a second preset time, and the existence of signal mutual exclusion is judged;
and when the event signal to be detected and/or the vehicle on-line and off-line signal meet the signal detection conditions corresponding to the mutual exclusion detection scene, determining that the signal mutual exclusion occurs.
7. An alarm method based on the automobile signal detection method according to any one of claims 1 to 6, characterized by comprising:
after judging whether the automobile signal meets the corresponding signal detection condition, determining whether the reported automobile signal needs to be alarmed or not based on a judging result;
if the reported automobile signal needs to be alarmed, storing the reported automobile signal into an alarm library, and sending the reported automobile signal into a data correction service, wherein the corrected automobile signal is updated into the latest automobile cache data;
If the reported automobile signal does not need to be alarmed, the reported automobile signal is directly updated into the latest automobile cache data.
8. An automotive signal detection system, comprising:
the pre-configuration unit is at least used for configuring a signal detection scene and corresponding signal detection conditions, wherein the signal detection scene at least comprises a drift detection scene, a missing detection scene and a mutual exclusion detection scene;
the receiving and dividing unit is at least used for receiving the latest reported automobile signals and dividing the types of the automobile signals, wherein the types of the automobile signals at least comprise periodic signals, event signals and vehicle on-line and off-line signals;
the matching judging unit is at least used for matching the periodic signal to the drift detection scene and/or the missing detection scene according to the type of the automobile signal; matching the event signal to the mutual exclusion detection scene according to the type of the automobile signal; and matching the vehicle on-line and off-line signals to the missing detection scene and/or the mutual exclusion detection scene according to the type of the automobile signals, and judging whether the automobile signals meet the signal detection conditions corresponding to the signal detection scene.
9. The system of claim 8, further comprising an alarm unit, wherein the alarm unit is at least configured to determine whether the currently reported automobile signal needs to be alarmed based on a determination result after determining whether the automobile signal meets a corresponding signal detection condition;
if the reported automobile signal needs to be alarmed, the alarm unit stores the reported automobile signal into an alarm library, and sends the reported automobile signal to a data correction service, and the corrected automobile signal is updated into the latest automobile cache data;
if the reported automobile signal does not need to be alarmed, the alarm unit directly updates the reported automobile signal into the latest automobile cache data.
10. An electronic device, comprising:
at least one processor; and at least one memory communicatively coupled to the processor, wherein: the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the steps of the automotive signal detection method of any of claims 1-6.
11. A readable storage medium storing a computer program, characterized in that the computer program is executed by a processor to perform the steps of the car signal detection method according to any one of claims 1-6.
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