CN114973160B - Vehicle state judging method and system based on digital twin model - Google Patents
Vehicle state judging method and system based on digital twin model Download PDFInfo
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Abstract
The application relates to a vehicle state judging method and system based on a digital twin model, wherein the method comprises the following steps: acquiring first time information and first vehicle image information corresponding to a vehicle passing through a preset first check point; inquiring a second check point, the running direction of which is closest to the first check point, in a preset check point database according to the running direction of the vehicle; acquiring preset check point distance information; calculating an arrival time range corresponding to the arrival of the vehicle at a preset second check point; acquiring second vehicle image information of a preset second check point in an arrival time range; if the vehicle characteristic information corresponding to the second vehicle image information is different from the vehicle characteristic information corresponding to the first vehicle image information, the abnormality information related to the vehicle is transmitted. The application has the technical effects that: the possibility that the vehicle cannot be timely rescued due to the occurrence of the abnormality between the first check point and the second check point is reduced, and the rescue efficiency of the vehicle when the abnormality occurs is improved.
Description
Technical Field
The application relates to the technical field of digital twin, in particular to a vehicle state judging method and system based on a digital twin model.
Background
The digital twin traffic is to incorporate the traffic data collected in real time into an established traffic model system, realize virtual digital mapping of the traffic system, generate a traffic optimization scheme and evaluate the scheme through big data analysis, artificial intelligence AI and traffic simulation technology, and is a part of intelligent traffic.
The existing traffic management system generally adopts a data brain for comprehensive traffic to acquire road information corresponding to a preset road, gathers the road information to a data center, analyzes the road information by a staff of the data center, performs corresponding processing, and sends related information through the data brain.
During operation of existing traffic management systems, applicants believe that at least the following problems exist: when the vehicle is abnormal in the running process and the vehicle is not on the road for acquiring the vehicle information, the abnormal vehicle cannot be acquired timely, so that the abnormal vehicle cannot be rescued timely.
Disclosure of Invention
In order to solve the problem that abnormal vehicles cannot be timely rescued due to the fact that vehicle information cannot be acquired in the whole process of running of the vehicle, the application provides a vehicle state judging method and system based on a digital twin model.
In a first aspect, the present application provides a vehicle state determining method based on a digital twin model, which adopts the following technical scheme: the method comprises the following steps:
acquiring corresponding first time information and first vehicle image information when a vehicle passes through a preset first check point, wherein the first vehicle image information at least comprises vehicle characteristic information and corresponding first vehicle speed information;
inquiring a second check point, the running direction of which is closest to the first check point, in a preset check point database according to the running direction of the vehicle;
acquiring preset check point distance information, wherein the check point distance information is a distance value from a first check point to a second check point;
calculating an arrival time range corresponding to the arrival of the vehicle at a preset second check point according to the check point distance information, the first time information and the first vehicle speed information;
acquiring second vehicle image information of a preset second check point in an arrival time range;
if the vehicle characteristic information corresponding to the second vehicle image information is different from the vehicle characteristic information corresponding to the first vehicle image information, the abnormality information related to the vehicle is transmitted.
According to the technical scheme, after the vehicle passes through the first check point, first time information of the vehicle passing through the first check point is obtained, first vehicle image information is obtained, the first vehicle image information at least comprises vehicle characteristic information and corresponding first vehicle speed information, preset check point distance information is obtained, an arrival time range is calculated and generated according to the check point distance information, the first time information and the first vehicle speed information, second vehicle image information of the second check point in the arrival time range is obtained, if the vehicle characteristic information corresponding to the second vehicle image information is different from the vehicle characteristic information corresponding to the first vehicle image information, abnormal information related to the vehicle is sent, the possibility that the vehicle cannot be timely rescued due to the occurrence of abnormality between the first check point and the second check point is reduced, and therefore rescue efficiency when the vehicle is abnormal is improved.
In a specific embodiment, the transmitting the abnormality information related to the vehicle includes:
acquiring reference vehicle speed information of a current road, wherein the reference vehicle speed information is an average value of historical vehicle speeds of vehicles passing through the road;
calculating delay time information corresponding to the vehicle reaching a preset second check point according to the check point distance information, the first time information and the reference vehicle speed information;
adding the arrival time range and the delay time information to obtain a delay time range;
acquiring second vehicle image information of a preset second check point in a delay time range;
if the vehicle characteristic information corresponding to the second vehicle image information is different from the vehicle characteristic information corresponding to the first vehicle image information, abnormal information related to the vehicle is sent.
According to the technical scheme, the reference vehicle speed information of the current road is obtained, the reference vehicle speed information is an average value of the vehicle speed on the current road, delay time information corresponding to a preset second check point is calculated according to the check point distance information, the first time information and the reference vehicle speed information, when the vehicle characteristic information corresponding to the second vehicle image information is different from the vehicle characteristic information corresponding to the first vehicle image information in the arrival time range, the second vehicle image information corresponding to the second check point is again obtained in the delay time information, and when the vehicle characteristic information corresponding to the second vehicle image information in the delay time information is still not same as the vehicle characteristic information corresponding to the first vehicle image information, abnormal information related to the vehicle is sent; the problem that the running speed is changed due to road congestion and the like in the running process of the vehicle is reduced, so that the possibility of changing the arrival time information is reduced, the system is not easy to touch abnormal information by mistake when the running speed of the vehicle is changed but the vehicle is still running normally, and the accuracy of the abnormal information is improved.
In a specific embodiment, the transmitting the abnormality information related to the vehicle includes:
acquiring reference image information of an adjacent vehicle corresponding to the vehicle, wherein the reference image information comprises vehicle characteristic information of the adjacent vehicle;
comparing the vehicle characteristic information corresponding to the second vehicle image information with the vehicle characteristic information of the adjacent vehicle;
if the vehicle characteristic information corresponding to the second vehicle image information is the same as the vehicle characteristic information of the adjacent vehicle, the abnormal information related to the vehicle is canceled from being sent;
otherwise, abnormality information related to the vehicle is transmitted.
According to the technical scheme, the reference image information of the adjacent vehicle of the target vehicle is obtained, the reference image information comprises the vehicle characteristic information of the adjacent vehicle, the vehicle characteristic information corresponding to the second vehicle image information is compared with the vehicle characteristic information of the adjacent vehicle, and if the vehicle characteristic information corresponding to the second vehicle image information is identical with the vehicle characteristic information of the adjacent vehicle, abnormal information related to the vehicle is canceled to be sent; otherwise, transmitting abnormality information related to the vehicle; the system can judge whether the target vehicle is in a normal running state according to the running condition of the adjacent vehicle corresponding to the target vehicle, and the accuracy of state judgment in the running process of the target vehicle is improved.
In a specific embodiment, after the acquiring the first vehicle image information corresponding to the preset first checkpoint, the method further includes:
acquiring a vehicle speed limit range of a current road;
comparing the first vehicle speed information with a vehicle speed limit range;
if the first vehicle speed information is larger than the vehicle speed limit range, calculating an overspeed arrival time range corresponding to the vehicle reaching a preset second check point according to the check point distance information, the first time information and the first vehicle speed information;
calculating an average value of the speed limit range of the vehicle to obtain a normal running speed;
calculating a normal arrival time range corresponding to the arrival of the vehicle at a preset second check point according to the check point distance information, the first time information and the normal running speed;
respectively acquiring second vehicle image information corresponding to a second check point in an overspeed arrival time range and second vehicle image information corresponding to a normal arrival time range;
respectively comparing the second vehicle image information of the second check point in the overspeed arrival time range and the second vehicle image information of the second check point in the normal arrival time range with the first vehicle image information;
if the vehicle characteristic information corresponding to the second vehicle image information in the overspeed arrival time range is different from the vehicle characteristic information corresponding to the first vehicle image information, transmitting abnormal information related to the vehicle;
Otherwise, the transmission of the abnormality information related to the vehicle is canceled.
According to the technical scheme, the vehicle speed limit range of the current road is obtained, the first vehicle speed information is compared with the vehicle speed limit range, if the first vehicle speed information is larger than the vehicle speed limit range, the overspeed arrival time range corresponding to a second preset checkpoint is calculated according to the checkpoint distance information and the first time information, the normal running speed is obtained by calculating the average value of the vehicle speed limit range, the normal arrival time range corresponding to the second preset checkpoint is calculated according to the checkpoint distance information and the first time information, the second vehicle image information corresponding to the second checkpoint in the overspeed arrival range and the second vehicle image information corresponding to the normal arrival time range are respectively obtained, the second vehicle image information of the second checkpoint in the overspeed arrival time range and the second vehicle image information of the second checkpoint in the normal arrival time range are respectively compared with the first vehicle image information, and if the vehicle characteristic information corresponding to the second vehicle image information in the overspeed arrival time range and the second vehicle characteristic information corresponding to the second vehicle image information in the normal arrival time range are different in transmission characteristics and related information; otherwise, the transmission of the abnormal information related to the vehicle is canceled, so that the system calculates the corresponding overspeed arrival time range and the corresponding normal arrival time range for the overspeed running vehicle respectively according to the current overspeed speed and the normal running speed, respectively acquires the second vehicle image information corresponding to the overspeed arrival time range and the normal arrival time, compares the vehicle characteristic information corresponding to the second vehicle image information and the vehicle characteristic information corresponding to the first vehicle image information in different time periods, and if the vehicle characteristic information and the vehicle characteristic information are different, transmits the abnormal information related to the vehicle, so that the system can respectively compare the overspeed running vehicle in two different time periods for the overspeed running vehicle, and when the overspeed running vehicle is not compared in both time periods, the related abnormal information is triggered, and therefore the triggering precision degree of the abnormal information is improved.
In a specific embodiment, after the acquiring the second vehicle image information of the preset second checkpoint within the arrival time range, the method further includes:
if the vehicle characteristic information corresponding to the second vehicle image information is the same as the vehicle characteristic information corresponding to the first vehicle image information, calculating a difference value between the second vehicle speed information and the first vehicle speed information, and setting the difference value as a vehicle speed change value;
and comparing the vehicle speed change value with the reference vehicle speed information, and if the vehicle speed change value is out of the range of the reference vehicle speed information, transmitting abnormality information related to the vehicle.
According to the technical scheme, when the corresponding vehicle information is acquired by the second check point, the difference value between the second vehicle speed information and the first vehicle speed information is calculated, the difference value is set to be the vehicle speed change value, the vehicle speed change value is compared with the reference vehicle speed information, when the vehicle speed change value is out of the range of the reference vehicle speed information, the abnormal information related to the vehicle is sent, and the system can send the related abnormal information to the vehicle which passes through the second check point but is abnormal in the vehicle speed, so that the coverage range of the abnormal information is improved.
In a specific embodiment, if the vehicle speed variation value is outside the range of the reference vehicle speed information, the transmitting the abnormality information related to the vehicle includes:
Counting the continuous vehicle speed change time of the vehicle speed change value;
calculating the ratio between the vehicle speed change value and the vehicle speed change time and setting the ratio as the vehicle speed change rate;
comparing the speed change rate with a preset abnormal change range;
if the speed change rate is outside a preset abnormal change range, the abnormal information related to the vehicle is canceled from being sent;
otherwise, abnormality information related to the vehicle is transmitted.
According to the technical scheme, the continuous vehicle speed change time of the vehicle speed change value is counted, the ratio between the vehicle speed change value and the vehicle speed change time is calculated, the ratio is set to be the vehicle speed change rate, the vehicle speed change rate is compared with the preset abnormal change range, and if the vehicle speed change rate is outside the preset abnormal change range, abnormal information related to the vehicle is canceled to be sent; otherwise, transmitting abnormality information related to the vehicle; the system can timely send related abnormal information to the vehicle with the speed change rate outside the preset abnormal change range, and the coverage range of the vehicle is further improved.
In a specific embodiment, the canceling the transmission of the abnormality information related to the vehicle includes:
acquiring reference image information of a target vehicle adjacent vehicle, wherein the reference image information comprises reference vehicle speed information of the adjacent vehicle;
Calculating a difference between the second vehicle speed information and the reference vehicle speed information and setting the difference as a relative vehicle speed difference;
comparing the relative vehicle speed difference value with a preset critical vehicle speed difference value range;
if the relative vehicle speed difference is outside the range of the critical vehicle speed difference, abnormal information related to the vehicle is sent.
According to the technical scheme, the reference image information of the adjacent vehicle of the target vehicle is obtained, the reference image information comprises the reference vehicle speed information of the adjacent vehicle, the difference value between the second vehicle speed information and the reference vehicle speed information is calculated and set as the relative vehicle speed difference value, the relative vehicle speed difference value is compared with the preset critical vehicle speed difference value range, if the relative vehicle speed difference value is out of the critical vehicle speed difference value range, the abnormal information related to the vehicle is sent, so that the system can timely send the abnormal information to the vehicle with abnormal relative vehicle speed difference value, and the coverage range of the abnormal information is improved.
In a second aspect, the present application provides a vehicle state determining device based on a digital twin model, which adopts the following technical scheme: the device comprises:
the first time acquisition module is used for acquiring first time information corresponding to the fact that the vehicle passes through a preset first check point;
The first image acquisition module is used for acquiring first vehicle image information corresponding to a preset first check point, wherein the first vehicle image information at least comprises vehicle characteristic information and corresponding first vehicle speed information;
the detection distance acquisition module is used for acquiring preset detection point distance information, wherein the detection point distance information is a distance value from a first detection point to a second detection point;
the arrival time calculation module is used for calculating an arrival time range corresponding to the arrival of the vehicle at a preset second check point according to the check point distance information, the first time information and the first vehicle speed information;
the second image acquisition module is used for acquiring second vehicle image information of a preset second check point in an arrival time range;
the abnormal information sending module is used for sending abnormal information related to the vehicle if the vehicle characteristic information corresponding to the second vehicle image information is different from the vehicle characteristic information corresponding to the first vehicle image information.
According to the technical scheme, after the vehicle passes through the first check point, first time information of the vehicle passing through the first check point is obtained, first vehicle image information is obtained, the first vehicle image information at least comprises vehicle characteristic information and corresponding first vehicle speed information, preset check point distance information is obtained, an arrival time range is calculated and generated according to the check point distance information, the first time information and the first vehicle speed information, second vehicle image information of the second check point in the arrival time range is obtained, if the vehicle characteristic information corresponding to the second vehicle image information is different from the vehicle characteristic information corresponding to the first vehicle image information, abnormal information related to the vehicle is sent, the possibility that the vehicle cannot be timely rescued due to the occurrence of abnormality between the first check point and the second check point is reduced, and therefore rescue efficiency when the vehicle is abnormal is improved.
In a third aspect, the present application provides a computer device, which adopts the following technical scheme: comprising a memory and a processor, said memory having stored thereon a computer program capable of being loaded by the processor and performing any of the digital twin model based vehicle state determination methods described above.
According to the technical scheme, after the vehicle passes through the first check point, first time information of the vehicle passing through the first check point is obtained, first vehicle image information is obtained, the first vehicle image information at least comprises vehicle characteristic information and corresponding first vehicle speed information, preset check point distance information is obtained, an arrival time range is calculated and generated according to the check point distance information, the first time information and the first vehicle speed information, second vehicle image information of the second check point in the arrival time range is obtained, if the vehicle characteristic information corresponding to the second vehicle image information is different from the vehicle characteristic information corresponding to the first vehicle image information, abnormal information related to the vehicle is sent, the possibility that the vehicle cannot be timely rescued due to the occurrence of abnormality between the first check point and the second check point is reduced, and therefore rescue efficiency when the vehicle is abnormal is improved.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical solutions: a computer program capable of being loaded by a processor and executing any one of the above-described digital twin model-based vehicle state determination methods is stored.
According to the technical scheme, after the vehicle passes through the first check point, first time information of the vehicle passing through the first check point is obtained, first vehicle image information is obtained, the first vehicle image information at least comprises vehicle characteristic information and corresponding first vehicle speed information, preset check point distance information is obtained, an arrival time range is calculated and generated according to the check point distance information, the first time information and the first vehicle speed information, second vehicle image information of the second check point in the arrival time range is obtained, if the vehicle characteristic information corresponding to the second vehicle image information is different from the vehicle characteristic information corresponding to the first vehicle image information, abnormal information related to the vehicle is sent, the possibility that the vehicle cannot be timely rescued due to the occurrence of abnormality between the first check point and the second check point is reduced, and therefore rescue efficiency when the vehicle is abnormal is improved.
In summary, the present application includes at least one of the following beneficial technical effects:
1. After a vehicle passes through a first check point, acquiring first time information of the vehicle passing through the first check point, acquiring first vehicle image information, wherein the first vehicle image information at least comprises vehicle characteristic information and corresponding first vehicle speed information, acquiring preset check point distance information, calculating according to the check point distance information, the first time information and the first vehicle speed information to generate an arrival time range, acquiring second vehicle image information of a second check point in the arrival time range, and if the vehicle characteristic information corresponding to the second vehicle image information is different from the vehicle characteristic information corresponding to the first vehicle image information, transmitting abnormal information related to the vehicle, so that the possibility that rescue cannot be timely obtained due to the occurrence of abnormality of the vehicle between the first check point and the second check point is reduced, and the rescue efficiency of the vehicle when the abnormality occurs is improved;
2. acquiring reference vehicle speed information of a current road, wherein the reference vehicle speed information is an average value of the vehicle speed on the current road, calculating delay time information corresponding to a preset second check point when the vehicle reaches a preset second check point according to the check point distance information, the first time information and the reference vehicle speed information, and sending abnormal information related to the vehicle when the vehicle characteristic information corresponding to the second check point in the delay time information is different from the vehicle characteristic information corresponding to the first vehicle image information and the vehicle characteristic information corresponding to the first vehicle image information in the delay time information; the problem that the running speed is changed due to road congestion and the like in the running process of the vehicle is reduced, so that the possibility of changing the arrival time information is reduced, the system is not easy to touch abnormal information by mistake when the running speed of the vehicle is changed but the vehicle is still running normally, and the accuracy of the abnormal information is improved.
Drawings
Fig. 1 is a flowchart of a vehicle state determination method based on a digital twin model in an embodiment of the present application.
Fig. 2 is a block diagram showing a configuration of a vehicle state judging device based on a digital twin model in an embodiment of the present application.
Reference numerals: 201. a first time acquisition module; 202. a first image acquisition module; 203. an inspection distance acquisition module; 204. an arrival time calculation module; 205. a second image acquisition module; 206. and the abnormal information sending module.
Detailed Description
The application is described in further detail below with reference to fig. 1-2.
The embodiment of the application discloses a vehicle state judging method based on a digital twin model, which is based on a traffic vehicle monitoring system, wherein the monitoring system acquires relevant vehicle information through a plurality of check points preset on a road, timely monitors the state of a vehicle through analysis of the vehicle information, and timely transmits relevant abnormal information to the abnormal vehicle.
As shown in fig. 1, the method comprises the steps of:
s10, acquiring first time information.
The first time information is corresponding time information when the vehicle passes through a first check point, the first check point is provided with an imaging device, the imaging device shoots the passing vehicle after the vehicle passes through the first check point, and the first time information of the passing vehicle after the passing vehicle is identified to be the vehicle is sent to the monitoring system in real time.
S11, acquiring first vehicle image information.
The first vehicle image information comprises vehicle characteristic information and first vehicle speed information corresponding to a vehicle when the vehicle passes through a first check point, wherein the vehicle characteristic information can be information capable of identifying the identity of the vehicle, such as license plate information.
S12, acquiring checkpoint distance information.
The distance information of the check points is a distance value between adjacent check points, a plurality of check points can be set according to requirements, and the distance values between the adjacent check points are equal.
S13, calculating an arrival time range.
The method comprises the steps of calculating time from a first check point to a second check point of a vehicle according to check point distance information and first vehicle speed information, calculating an arrival time point corresponding to the arrival of the vehicle at the second check point according to the first time information, and generating an arrival time range according to the arrival time point and a preset error time. For example, the preset check point distance information is 500m, the first vehicle speed information is 20m/s, and the first time information is 10:00:00, the time required for the vehicle to reach the second check point is 25s, the error time is +/-5 s, and the corresponding arrival time range is 10:00:20-10:00:30.
S14, acquiring second vehicle image information corresponding to a preset second check point.
The second vehicle image information is the image information shot by the second check point in the arrival time range.
S15, judging whether the vehicle characteristic information corresponding to the second vehicle image information is the same as the vehicle characteristic information corresponding to the first vehicle image information.
When the second check point fails to detect the vehicle passing through the first check point, the abnormal condition of the vehicle is judged, and prompt information such as 'vehicle abnormality' related to the vehicle is sent.
And S16, if yes, transmitting abnormality information related to the vehicle.
S17, otherwise, cancel the transmission of the abnormality information related to the vehicle.
In one embodiment, considering that the first speed information of the vehicle is affected by road congestion, etc., so that the arrival time information is affected, the road condition needs to be monitored, and specific monitoring operations may be performed as follows:
obtaining reference vehicle speed information of a current road, wherein the reference vehicle speed information is an average value of the speed of an automobile on the current road, calculating delay time information corresponding to the arrival of the automobile at a preset second inspection point according to the inspection point distance information, the first time information and the reference vehicle speed information, adding the arrival time range and the delay time information to obtain a delay time range, and obtaining second vehicle image information of the preset second inspection point in the delay time range; if the vehicle characteristic information corresponding to the second vehicle image information is the same as the vehicle characteristic information corresponding to the first vehicle image information, the abnormal information related to the vehicle is canceled from being sent; otherwise, transmitting abnormal information related to the vehicle; by acquiring the reference vehicle speed information to acquire the congestion condition of the road, when the second check point does not acquire the vehicle characteristic information of the second vehicle image information matched with the vehicle characteristic information of the first vehicle image information in the arrival time range, the second vehicle image information can be acquired again by delaying the time information on the basis of the arrival time range, the influence of the road congestion on the first vehicle speed information of the vehicle is reduced, the time delay of the second check point is further caused, the possibility that the second check point does not detect the final false touch abnormal information of the target vehicle is caused, and the accuracy of triggering the abnormal information is improved. For example, the check point distance information is 500m, the first vehicle speed information is 20m/s, the reference vehicle speed information is 10m/s, the arrival time range is 25s, the preset error time is + -5 s, the first time information is 10:00:00, the arrival time range is 10:00:20-10:00:30, the delay time information is 50s, and the corresponding delay time range is 10:00:20-10:01:20.
In one embodiment, considering that there is an adjacent vehicle during the traveling of the target vehicle, the traveling condition of the target vehicle may be determined by the traveling condition of the adjacent vehicle, and the specific desired determination operation may be performed as:
acquiring reference image information of adjacent vehicles of the target vehicle, wherein the reference image information comprises vehicle characteristic information of the adjacent vehicles, the number of the adjacent vehicles can be set by staff through a system, and two vehicles which are positioned in front of and behind the target vehicle and are closest to the target vehicle are selected as the adjacent vehicles by default; comparing the vehicle characteristic information corresponding to the second vehicle image information with the vehicle characteristic information of the adjacent vehicle, if the vehicle characteristic information corresponding to the second vehicle image information is compared with the vehicle characteristic information of the adjacent vehicle, and if the vehicle characteristic information corresponding to the second vehicle image information is the same, canceling to send the abnormal information related to the vehicle; otherwise, transmitting abnormality information related to the vehicle; the system can automatically judge the form state of the target vehicle according to the running state of the adjacent vehicle, so that the possibility that the vehicle still normally runs but the system automatically triggers abnormal information due to the fact that the overall running speed of the vehicle is reduced caused by external factors is reduced, and the accuracy degree of triggering the abnormal information is improved. For example, the target vehicle is C, the adjacent vehicles are a and B, respectively, and when the second inspection point does not detect the vehicle characteristic information corresponding to the target vehicle C, and also does not detect the vehicle characteristic information corresponding to the adjacent vehicles a and B, the transmission of the abnormality information related to the vehicle is canceled; otherwise, a prompt message such as "target vehicle C is abnormal" is sent.
In one embodiment, considering that the first vehicle speed information of the target vehicle is in an overspeed state when passing through the first checkpoint, when the target vehicle needs to be considered to arrive at the second checkpoint and possibly continue to travel in the overspeed state and possibly slow down to a normal vehicle speed to travel to the second checkpoint, corresponding image information needs to be acquired in two time periods of the second checkpoint, and corresponding acquiring operations may be performed as follows:
acquiring a vehicle speed limit range of a current road; comparing the first vehicle speed information with a vehicle speed limit range; if the first vehicle speed information is larger than the vehicle speed limit range, calculating an overspeed arrival time range corresponding to the preset second check point when the vehicle arrives according to the check point distance information, the first time information and the first vehicle speed information; calculating an average value of the speed limit range of the vehicle to obtain a normal running speed; calculating a normal arrival time range corresponding to the arrival of the vehicle at a preset second check point according to the check point distance information, the first time information and the normal running speed; respectively acquiring second vehicle image information corresponding to the second check point in an overspeed arrival time range and comparing the second vehicle image information corresponding to the second check point in a normal arrival time range with the first vehicle image information; if the vehicle characteristic information corresponding to the second vehicle image information in the overspeed arrival time range is different from the vehicle characteristic information corresponding to the first vehicle image information, transmitting abnormal information related to the vehicle; otherwise, canceling to send the abnormal information related to the vehicle; when the automobile passes through the first check point in the overspeed state, the system can respectively calculate overspeed arrival time and normal arrival time reaching the second check point according to the first overspeed information and the normal running speed, respectively acquire second vehicle image information in the normal arrival time within the overspeed arrival time, and respectively compare the vehicle characteristic information corresponding to the second vehicle image information with the vehicle characteristic information corresponding to the first vehicle image information in the overspeed arrival time and the normal arrival time, so that the possibility that the target vehicle reaches the second check point in the overspeed state to cause the system to trigger abnormal information by mistake is reduced, and the accuracy degree of the abnormal information is improved. For example, the speed limit range of the current road is 15m/s-30m/s, the first vehicle speed information is 35m/s, the preset check point distance is 1500m, the corresponding normal arrival range is 67 s+ -5 s, the overspeed arrival range is 43 s+ -5 s, if the first time information is 13:00:00, the normal arrival time range is 13:01:02-13:01:12, and the corresponding overspeed arrival time range is 13:00:38-13:00:48.
In one embodiment, the speed between the target vehicle and the adjacent vehicle may be monitored in view of the target vehicle still being in an abnormal state after the second checkpoint is detected, and the specific monitoring operation may be performed as:
after acquiring second vehicle image information of a preset second check point in an arrival time range, if the vehicle characteristic information corresponding to the second vehicle image information is the same as the vehicle characteristic information corresponding to the first vehicle image information, calculating a difference value between the second vehicle speed information and the first vehicle speed information, setting the difference value as a vehicle speed change value, comparing the vehicle speed change value with reference vehicle speed information, and if the vehicle speed change value is out of the range of the reference vehicle speed information, transmitting abnormal information related to a vehicle; the possibility that the speed difference between the target vehicle and the adjacent vehicle is larger and larger due to the abnormal condition after the target vehicle passes through the second check point, and the system cannot timely send the abnormal information related to the target vehicle is reduced, so that the inclusion range of the abnormal information is improved.
In one embodiment, in consideration of an abnormal situation of the target vehicle when the vehicle speed of the target vehicle changes in a short time, the monitoring operation may be performed as:
Counting the continuous vehicle speed change time of the vehicle speed change value, calculating the ratio between the vehicle speed change value and the vehicle speed change time, setting the ratio as the vehicle speed change rate, and comparing the vehicle speed change rate with a preset abnormal change range; if the speed change rate is outside a preset abnormal change range, the abnormal information related to the vehicle is canceled from being sent; otherwise, transmitting abnormality information related to the vehicle; the possibility that the system cannot timely send abnormal information due to the fact that the vehicle speed change rate is problematic when the target vehicle passes through the second inspection is reduced, and therefore the coverage range of the abnormal information is improved.
In one embodiment, considering that the difference between the target vehicle and the reference vehicle speed information during the running process may also reflect the state of the target vehicle in the running process, the vehicle speed value between the target vehicle and the adjacent vehicle needs to be monitored, and the monitoring operation may be specifically performed as follows:
acquiring reference image information of a target vehicle adjacent to the vehicle, wherein the reference image information comprises reference vehicle speed information of the adjacent vehicle, calculating a difference value between the second vehicle speed information and the reference vehicle speed information, setting the difference value as a relative vehicle speed difference value, comparing the relative vehicle speed difference value with a preset critical vehicle speed difference value range, and if the relative vehicle speed difference value is out of the critical vehicle speed difference value range, transmitting abnormal information related to the vehicle; the system can automatically send the abnormal information related to the target vehicle when the corresponding relative vehicle speed difference value of the target vehicle is out of the preset connecting vehicle speed difference value range, and can timely send the abnormal information related to the target vehicle when the corresponding relative vehicle speed difference value is out of the critical vehicle speed difference value range.
The implementation principle of the embodiment of the application is as follows:
when a vehicle passes through a preset first check point, acquiring first time information and first vehicle image information, acquiring preset check point distance information, calculating an arrival time range of the vehicle to a second check point according to the first vehicle image information, the first time information and the check point distance information, acquiring second vehicle image information of the preset second check point in the arrival time range, and judging whether vehicle characteristic information corresponding to the second vehicle image information is identical to vehicle characteristic information corresponding to the first vehicle image information; if the vehicle characteristic information is different, obtaining reference vehicle speed information of the road in the current period, calculating delay time information corresponding to the arrival of the vehicle at a second check point according to the check point distance information, the first time information and the reference vehicle speed information, continuously obtaining second vehicle image information corresponding to the second check point until the delay time range is over after the corresponding second vehicle characteristic information is not detected in the arrival time information, and sending abnormal information related to the vehicle.
Based on the method, the embodiment of the application also discloses a vehicle state judging device based on the digital twin model.
As shown in fig. 2, the apparatus comprises the following modules:
a first time obtaining module 201, configured to obtain first time information corresponding to a vehicle passing through a preset first checkpoint;
a first image obtaining module 202, configured to obtain first vehicle image information corresponding to a preset first check point, where the first vehicle image information at least includes vehicle feature information and corresponding first vehicle speed information;
the checking distance obtaining module 203 is configured to obtain preset checking point distance information, where the checking point distance information is a distance value from the first checking point to the second checking point;
the arrival time calculation module 204 is configured to calculate an arrival time range corresponding to the arrival of the vehicle at a preset second checkpoint according to the checkpoint distance information, the first time information, and the first vehicle speed information;
a second image obtaining module 205, configured to obtain second vehicle image information of a preset second checkpoint within an arrival time range;
the anomaly information transmitting module 206 is configured to transmit anomaly information related to the vehicle if the vehicle characteristic information corresponding to the second vehicle image information is different from the vehicle characteristic information corresponding to the first vehicle image information.
In one embodiment, the anomaly information sending module 206 is further configured to send anomaly information related to the vehicle including: acquiring reference vehicle speed information of a current road, wherein the reference vehicle speed information is an average value of the speed of an automobile on the current road; calculating delay time information corresponding to the vehicle reaching a preset second check point according to the check point distance information, the first time information and the reference vehicle speed information; adding the arrival time range and the delay time information to obtain a delay time range; acquiring second vehicle image information of a preset second check point in a delay time range; if the vehicle characteristic information corresponding to the second vehicle image information is the same as the vehicle characteristic information corresponding to the first vehicle image information, the abnormal information related to the vehicle is canceled from being sent; otherwise, abnormality information related to the vehicle is transmitted.
In one embodiment, the anomaly information sending module 206 is further configured to send anomaly information related to the vehicle including: acquiring reference image information of a target vehicle adjacent to the vehicle, wherein the reference image information comprises vehicle characteristic information of the adjacent vehicle; comparing the vehicle characteristic information corresponding to the second vehicle image information with the vehicle characteristic information of the adjacent vehicle; if the vehicle characteristic information corresponding to the second vehicle image information is the same as the vehicle characteristic information of the adjacent vehicle, the abnormal information related to the vehicle is canceled from being sent; otherwise, abnormality information related to the vehicle is transmitted.
In one embodiment, the first image obtaining module 202 is further configured to, after obtaining the first vehicle image information corresponding to the preset first checkpoint, further include: acquiring a vehicle speed limit range of a current road; comparing the first vehicle speed information with a vehicle speed limit range; if the first vehicle speed information is larger than the vehicle speed limit range, calculating an overspeed arrival time range corresponding to the vehicle reaching a preset second check point according to the check point distance information, the first time information and the first vehicle speed information; calculating an average value of the speed limit range of the vehicle to obtain a normal running speed; calculating a normal reaching time range corresponding to the vehicle reaching a preset second check point according to the check point distance information, the first time information and the normal running speed; respectively acquiring second vehicle image information corresponding to a second check point in an overspeed arrival time range and second vehicle image information corresponding to a normal arrival time range; respectively comparing the second vehicle image information of the second check point in the overspeed arrival time range and the second vehicle image information of the second check point in the normal arrival time range with the first vehicle image information; if the vehicle characteristic information corresponding to the second vehicle image information in the overspeed arrival time range is different from the vehicle characteristic information corresponding to the first vehicle image information, transmitting abnormal information related to the vehicle; otherwise, the transmission of the abnormality information related to the vehicle is canceled.
In one embodiment, the second image acquisition module 205 is further configured to, after acquiring the second vehicle image information of the preset second checkpoint within the arrival time range, further include: if the vehicle characteristic information corresponding to the second vehicle image information is the same as the vehicle characteristic information corresponding to the first vehicle image information; calculating a difference value between the second vehicle speed information and the first vehicle speed information and setting the difference value as a vehicle speed change value; and comparing the vehicle speed change value with the reference vehicle speed information, and if the vehicle speed change value is out of the range of the reference vehicle speed information, transmitting abnormality information related to the vehicle.
In one embodiment, the second image obtaining module 205 is further configured to send the abnormality information related to the vehicle if the vehicle speed variation value is outside the range of the reference vehicle speed information, including: counting the continuous vehicle speed change time of the vehicle speed change value; calculating the ratio between the vehicle speed change value and the vehicle speed change time and setting the ratio as the vehicle speed change rate; comparing the speed change rate with a preset abnormal change range; if the speed change rate is outside a preset abnormal change range, the abnormal information related to the vehicle is canceled from being sent; otherwise, abnormality information related to the vehicle is transmitted.
In one embodiment, the second image acquisition module 205 is further configured to cancel transmission of the abnormality information related to the vehicle includes: acquiring reference image information of a target vehicle adjacent to the vehicle, wherein the reference image information comprises reference vehicle speed information of the adjacent vehicle; calculating a difference between the second vehicle speed information and the reference vehicle speed information and setting the difference as a relative vehicle speed difference; comparing the relative vehicle speed difference value with a preset critical vehicle speed difference value range; if the relative vehicle speed difference is outside the range of the critical vehicle speed difference, abnormal information related to the vehicle is sent.
The embodiment of the application also discloses computer equipment.
Specifically, the computer device includes a memory and a processor, and the memory stores a computer program that can be loaded by the processor and execute the above-described digital twin model-based vehicle state determination method.
The embodiment of the application also discloses a computer readable storage medium.
Specifically, the computer-readable storage medium storing a computer program capable of being loaded by a processor and executing the vehicle state determination method based on the digital twin model as described above includes, for example: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The present embodiment is only for explanation of the present invention and is not to be construed as limiting the present invention, and modifications to the present embodiment, which may not creatively contribute to the present invention as required by those skilled in the art after reading the present specification, are all protected by patent laws within the scope of claims of the present invention.
Claims (9)
1. A vehicle state judgment method based on a digital twin model, the method comprising:
acquiring corresponding first time information and first vehicle image information when a vehicle passes through a preset first check point, wherein the first vehicle image information at least comprises vehicle characteristic information and corresponding first vehicle speed information;
inquiring a second check point, the running direction of which is closest to the first check point, in a preset check point database according to the running direction of the vehicle;
acquiring preset check point distance information, wherein the check point distance information is a distance value from a first check point to a second check point;
calculating an arrival time range corresponding to the arrival of the vehicle at a preset second check point according to the check point distance information, the first time information and the first vehicle speed information;
acquiring second vehicle image information of a preset second check point in an arrival time range;
If the vehicle characteristic information corresponding to the second vehicle image information is different from the vehicle characteristic information corresponding to the first vehicle image information, abnormal information related to the vehicle is sent;
the transmitting of the abnormality information related to the vehicle includes:
acquiring reference vehicle speed information of a current road, wherein the reference vehicle speed information is an average value of historical vehicle speeds of vehicles passing through the road;
calculating delay time information corresponding to the vehicle reaching a preset second check point according to the check point distance information, the first time information and the reference vehicle speed information;
adding the arrival time range and the delay time information to obtain a delay time range;
acquiring second vehicle image information of a preset second check point in a delay time range;
if the vehicle characteristic information corresponding to the second vehicle image information is different from the vehicle characteristic information corresponding to the first vehicle image information, abnormal information related to the vehicle is sent.
2. The method of claim 1, wherein the transmitting anomaly information associated with the vehicle comprises:
acquiring reference image information of an adjacent vehicle corresponding to the vehicle, wherein the reference image information comprises vehicle characteristic information of the adjacent vehicle;
Comparing the vehicle characteristic information corresponding to the second vehicle image information with the vehicle characteristic information of the adjacent vehicle;
if the vehicle characteristic information corresponding to the second vehicle image information is the same as the vehicle characteristic information of the adjacent vehicle, the abnormal information related to the vehicle is canceled from being sent;
otherwise, abnormality information related to the vehicle is transmitted.
3. The method of claim 1, further comprising, after the acquiring the first vehicle image information corresponding to the preset first checkpoint:
acquiring a vehicle speed limit range of a current road;
comparing the first vehicle speed information with a vehicle speed limit range;
if the first vehicle speed information is larger than the vehicle speed limit range, calculating an overspeed arrival time range corresponding to the vehicle reaching a preset second check point according to the check point distance information, the first time information and the first vehicle speed information;
calculating an average value of the speed limit range of the vehicle to obtain a normal running speed;
calculating a normal arrival time range corresponding to the arrival of the vehicle at a preset second check point according to the check point distance information, the first time information and the normal running speed;
respectively acquiring second vehicle image information corresponding to a second check point in an overspeed arrival time range and second vehicle image information corresponding to a normal arrival time range;
Respectively comparing the second vehicle image information of the second check point in the overspeed arrival time range and the second vehicle image information of the second check point in the normal arrival time range with the first vehicle image information;
if the vehicle characteristic information corresponding to the second vehicle image information in the overspeed arrival time range is different from the vehicle characteristic information corresponding to the first vehicle image information, transmitting abnormal information related to the vehicle;
otherwise, the transmission of the abnormality information related to the vehicle is canceled.
4. The method of claim 1, further comprising, after the acquiring the second vehicle image information of the preset second checkpoint within the arrival time frame:
if the vehicle characteristic information corresponding to the second vehicle image information is the same as the vehicle characteristic information corresponding to the first vehicle image information, calculating a difference value between the second vehicle speed information and the first vehicle speed information, and setting the difference value as a vehicle speed change value;
and comparing the vehicle speed change value with the reference vehicle speed information, and if the vehicle speed change value is out of the range of the reference vehicle speed information, transmitting abnormality information related to the vehicle.
5. The method of claim 4, wherein transmitting the anomaly information associated with the vehicle if the vehicle speed variation value is outside the range of the reference vehicle speed information comprises:
counting the continuous vehicle speed change time of the vehicle speed change value;
calculating the ratio between the vehicle speed change value and the vehicle speed change time and setting the ratio as the vehicle speed change rate;
comparing the speed change rate with a preset abnormal change range;
if the speed change rate is outside a preset abnormal change range, the abnormal information related to the vehicle is canceled from being sent;
otherwise, abnormality information related to the vehicle is transmitted.
6. The method of claim 5, wherein the cancelling transmission of the anomaly information associated with the vehicle comprises:
acquiring reference image information of a target vehicle adjacent vehicle, wherein the reference image information comprises reference vehicle speed information of the adjacent vehicle;
calculating a difference between the second vehicle speed information and the reference vehicle speed information and setting the difference as a relative vehicle speed difference;
comparing the relative vehicle speed difference value with a preset critical vehicle speed difference value range;
if the relative vehicle speed difference is outside the range of the critical vehicle speed difference, abnormal information related to the vehicle is sent.
7. A digital twin model-based vehicle state judgment device, characterized in that the device comprises:
the first time acquisition module (201) is used for acquiring first time information corresponding to the fact that the vehicle passes through a preset first check point;
a first image acquisition module (202) for acquiring first vehicle image information corresponding to a preset first check point, wherein the first vehicle image information at least comprises vehicle characteristic information and corresponding first vehicle speed information;
the checking distance acquisition module (203) is used for acquiring preset checking point distance information, wherein the checking point distance information is a distance value from a first checking point to a second checking point;
the arrival time calculation module (204) is used for calculating an arrival time range corresponding to the arrival of the vehicle at a preset second check point according to the check point distance information, the first time information and the first vehicle speed information;
a second image acquisition module (205) for acquiring second vehicle image information of a preset second check point within an arrival time range;
an abnormality information transmission module (206) configured to transmit abnormality information related to the vehicle if the vehicle characteristic information corresponding to the second vehicle image information and the vehicle characteristic information corresponding to the first vehicle image information are different;
The abnormal information sending module (206) is further used for obtaining reference vehicle speed information of the current road, wherein the reference vehicle speed information is an average value of historical vehicle speeds of vehicles passing through the road;
calculating delay time information corresponding to the vehicle reaching a preset second check point according to the check point distance information, the first time information and the reference vehicle speed information;
adding the arrival time range and the delay time information to obtain a delay time range;
acquiring second vehicle image information of a preset second check point in a delay time range;
if the vehicle characteristic information corresponding to the second vehicle image information is different from the vehicle characteristic information corresponding to the first vehicle image information, abnormal information related to the vehicle is sent.
8. A computer device comprising a memory and a processor, the memory having stored thereon a computer program capable of being loaded by the processor and performing the method according to any of claims 1 to 6.
9. A computer readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which performs the method according to any of claims 1 to 6.
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