CN111693295B - Journey analysis method and device based on vehicle engine state - Google Patents
Journey analysis method and device based on vehicle engine state Download PDFInfo
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Abstract
A stroke analysis method and device based on the state of a vehicle engine comprises the following steps: monitoring the generated engine state data in real time according to the vehicle by utilizing a big data real-time computing technology; performing stroke segmentation based on the engine state of the vehicle at the current moment and the latest engine state stored in the latest state library; and if the result after the stroke segmentation is that a new stroke is started, comparing the current stroke state with the new stroke state according to the stroke aggregation condition, and performing stroke aggregation on the strokes meeting the stroke aggregation condition. The invention only uses the state data of the transmitter as the key condition of the travel analysis, can effectively generate the vehicle travel data, realizes the large-scale quasi-real-time automatic segmentation analysis of the vehicle travel, can greatly save the calculation cost and improve the efficiency and the accuracy of the travel analysis compared with the prior travel analysis.
Description
Technical Field
The invention relates to the field of vehicle networking big data processing, in particular to a journey analysis method and device based on a vehicle engine state.
Background
With the acceleration of the networking speed of vehicles, the frequency and the signal quantity of single vehicle acquisition are continuously increased, even a single vehicle can generate a considerable data quantity every day, and more vehicles are used. How to carry out effective analysis to this mass data is an examination to us, if the mass analysis is satisfied by the simple expansion of relying on the server, although the analysis requirement can be satisfied, but will bring the sharp increase of cost and will also reduce the analysis efficiency at the same time, so we need to carry out dimension reduction to the mass data of the vehicle according to the journey, reduce the whole data bulk promptly, conveniently carry out various data analyses again, for example: driving behavior analysis, operation statistical analysis, frequent trajectory analysis, and the like.
The method has the advantages that the analysis and the mining of the driving data are particularly important under the environment of the big data of the internet of vehicles, the analysis of the data travel of the vehicles is used as a basis for the analysis and the mining of the data, the analysis data volume can be effectively reduced, the difficulty and the cost of the analysis and the mining of the driving data are reduced, and the analysis and the mining efficiency are improved.
Disclosure of Invention
In view of the technical defects and technical drawbacks in the prior art, embodiments of the present invention provide a method and an apparatus for analyzing a trip based on a vehicle engine state, which overcome or at least partially solve the above problems, and the specific solution is as follows:
as a first aspect of the present invention, there is provided a trip analysis method based on a state of an engine of a vehicle, the method comprising:
step 1, monitoring engine state data generated by a vehicle in real time according to the vehicle by utilizing a big data real-time computing technology;
step 2, performing stroke segmentation based on the engine state of the vehicle at the current moment and the latest engine state stored in the latest state library;
step 3, if the result after the stroke segmentation in the step 2 is that a new stroke is started, comparing the current stroke state with the new stroke state according to the stroke polymerization condition, and performing stroke polymerization on the strokes meeting the stroke polymerization condition;
and 2, storing the engine state data at the previous moment of the current moment in the latest state base, and replacing the latest engine state stored in the latest state base with the current real-time engine state of the vehicle after the trip segmentation in the step 2.
Further, step 2 specifically includes:
if the engine state at the current moment of the vehicle and the latest engine state stored in the latest state library are both starting states, judging that the travel at the current moment of the vehicle and the travel corresponding to the latest engine state stored in the latest state library are the same travel, and judging that the vehicle is currently running;
if the engine state of the vehicle at the current moment is a stop state and the stored latest engine state is a start state, judging that the stroke of the vehicle at the current moment is the same as the stroke corresponding to the latest engine state stored in the latest state library, stopping the vehicle and ending the current stroke;
and if the engine state at the current moment of the vehicle is a starting state and the stored latest engine state is a stopping state, judging that the stroke of the current moment of the vehicle is different from the stroke corresponding to the latest engine state stored in the latest state library, and starting a new stroke by the vehicle.
Further, the method further comprises: according to whether the travel mileage of the travel is less than the preset mileage or not, an effective or ineffective state label is added to the travel, and the method specifically comprises the following steps:
if the continuous driving mileage is less than the preset mileage, adding a travel invalid state label for the travel, wherein the corresponding travel is an invalid travel;
and if the continuous driving mileage is more than or equal to the preset mileage, adding a stroke effective state label for the stroke, wherein the corresponding stroke is an effective stroke.
Further, the process polymerization conditions in step 3 specifically include:
calculating the time interval between the new travel and the current travel;
if the time interval is less than the first preset time t1, the two strokes are considered to be the same stroke, and stroke aggregation is carried out;
if the time interval is greater than or equal to a first preset time t1 and less than a second preset time t2, checking whether the current stroke is an invalid stroke, and if the current stroke is the invalid stroke, considering the two strokes as the same stroke, and performing stroke aggregation;
if the time interval is greater than or equal to the second preset time t2 and less than the third preset time t3 and the current journey is an invalid journey, at this time, if the distance between the starting point of the new journey and the end point of the current journey is within the preset distance, two journeys are judged to be the same journey, and journey aggregation is carried out.
Further, the run-length polymerization specifically includes:
marking the current travel state as not finished;
updating the latest time, mileage and fuel consumption state quantity of the new journey to the current journey;
the current travel is set to the latest trip.
As a second aspect of the present invention, there is provided a trip analyzing apparatus based on a state of an engine of a vehicle, the apparatus comprising: the system comprises a transmitter state monitoring module, a stroke segmentation module, a stroke aggregation module and a latest state library;
the transmitter state monitoring module is used for monitoring the generated engine state data in real time according to the vehicle by utilizing a big data real-time computing technology;
the stroke segmentation module is used for performing stroke segmentation on the basis of the engine state of the vehicle at the current moment and the latest engine state stored in the latest state library;
the stroke aggregation module is used for comparing the current stroke state with the new stroke state according to the stroke aggregation condition when the result after the stroke segmentation is that the new stroke is started, and performing stroke aggregation on the strokes meeting the stroke aggregation condition;
and the latest state library is used for storing the engine state data at the previous moment of the current moment and replacing the latest engine state stored in the latest state library with the current real-time engine state of the vehicle after the trip is cut.
Further, the stroke segmentation performed by the stroke segmentation module specifically comprises:
if the engine state at the current moment of the vehicle and the latest engine state stored in the latest state library are both starting states, judging that the travel at the current moment of the vehicle and the travel corresponding to the latest engine state stored in the latest state library are the same travel, and judging that the vehicle is currently running;
if the engine state of the vehicle at the current moment is a stop state and the stored latest engine state is a start state, judging that the stroke of the vehicle at the current moment is the same as the stroke corresponding to the latest engine state stored in the latest state library, stopping the vehicle and ending the current stroke;
and if the engine state at the current moment of the vehicle is a starting state and the stored latest engine state is a stopping state, judging that the stroke of the current moment of the vehicle is different from the stroke corresponding to the latest engine state stored in the latest state library, and starting a new stroke by the vehicle.
Furthermore, the device also comprises a stroke result judging module; the stroke result judging module is used for increasing an effective or invalid state label for the stroke according to whether the stroke mileage of the stroke is less than a preset mileage or not, and specifically comprises the following steps:
if the continuous driving mileage is less than the preset mileage, adding a travel invalid state label for the travel, wherein the corresponding travel is an invalid travel;
and if the continuous driving mileage is more than or equal to the preset mileage, increasing a stroke effective state label for the stroke, wherein the corresponding stroke is an effective stroke.
Further, the process polymerization conditions are specifically:
calculating the time interval between the new travel and the current travel;
if the time interval is less than the first preset time t1, the two strokes are considered to be the same stroke, and stroke aggregation is carried out;
if the time interval is greater than or equal to a first preset time t1 and less than a second preset time t2, checking whether the current stroke is an invalid stroke, and if the current stroke is the invalid stroke, considering that the two strokes are the same stroke, and performing stroke aggregation;
if the time interval is greater than or equal to the second preset time t2 and less than the third preset time t3 and the current journey is an invalid journey, at this time, if the distance between the starting point of the new journey and the end point of the current journey is within a preset distance, the two journeys are judged to be the same journey, and journey aggregation is carried out.
Further, when the run polymerization condition is satisfied, the run polymerization performed by the run polymerization module specifically comprises:
marking the current travel state as not finished;
updating the latest time, mileage and fuel consumption state quantity of the new journey to the current journey;
the current travel is set to the latest trip.
The invention has the following beneficial effects:
compared with the prior art that the travel analysis and calculation of the vehicle are carried out through mass data, the method and the device only use the state data of the transmitter as the key condition of the travel analysis, can effectively generate the travel data of the vehicle, realize large-scale quasi-real-time automatic segmentation and analysis of the vehicle travel, greatly save the calculation cost and improve the efficiency and the accuracy of the travel analysis compared with the prior travel analysis.
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Fig. 1 is a schematic flow chart of a trip analysis method based on a vehicle engine state according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Since 2015, the Ministry of industry and correspondence began to lay out, and intelligent networked automobiles and intelligent traffic application demonstration areas were established all over the country successively, so that the development of the automatic driving and automobile networking technology industry was promoted. With the development of the internet of vehicles, vehicle data is growing explosively, and how to analyze and mine valuable things in massive vehicle data becomes a challenge for various large vehicle factories and internet of vehicles companies.
The vehicle travel analysis is used as one of bases for vehicle data value mining, the segmentation of vehicle travel data according to the travel rule is realized, a data base can be provided for analysis and prediction of the travel rule, driving behaviors, frequent lines, distributed areas, user figures and the like of a vehicle, the analysis complexity is reduced, and the analysis efficiency is improved.
As shown in fig. 1, as a first embodiment of the present invention, there is provided a trip analysis method based on a vehicle engine state, the method including:
step 1, monitoring engine state data generated by a vehicle in real time according to the vehicle by utilizing a big data real-time computing technology;
step 2, performing stroke segmentation based on the engine state of the vehicle at the current moment and the latest engine state stored in the latest state library;
step 3, if the result after the stroke segmentation in the step 2 is that a new stroke is started, comparing the current stroke state with the new stroke state according to the stroke polymerization condition, and performing stroke polymerization on the strokes meeting the stroke polymerization condition;
the latest state library stores the engine state data at the previous moment of the current moment, and after the trip segmentation in the step 2, the latest engine state stored in the latest state library is replaced by the current real-time engine state of the vehicle;
the engine state data includes, but is not limited to, a unique number of the corresponding vehicle, a collection time, an engine state, mileage, fuel consumption, geographic coordinate information of the vehicle, and the like.
The invention only uses the state data of the transmitter as the key condition of the travel analysis, can effectively generate the vehicle travel data, realizes the large-scale quasi-real-time automatic segmentation analysis of the vehicle travel, can greatly save the calculation cost and improve the efficiency and the accuracy of the travel analysis compared with the prior travel analysis.
Preferably, step 2 specifically comprises:
if the engine state at the current moment of the vehicle and the latest engine state stored in the latest state library are both starting states, judging that the travel at the current moment of the vehicle and the travel corresponding to the latest engine state stored in the latest state library are the same travel, and judging that the vehicle is currently running;
if the engine state of the vehicle at the current moment is a stop state and the stored latest engine state is a start state, judging that the stroke of the vehicle at the current moment is the same as the stroke corresponding to the latest engine state stored in the latest state library, stopping the vehicle and ending the current stroke;
and if the engine state at the current moment of the vehicle is a starting state and the stored latest engine state is a stopping state, judging that the stroke of the current moment of the vehicle is different from the stroke corresponding to the latest engine state stored in the latest state library, and starting a new stroke by the vehicle.
Preferably, the method further comprises: according to whether the travel mileage of the travel is less than the preset mileage or not, an effective or ineffective state label is added to the travel, and the method specifically comprises the following steps:
if the continuous driving mileage is less than the preset mileage, adding a travel invalid state label for the travel, wherein the corresponding travel is an invalid travel;
and if the continuous driving mileage is more than or equal to the preset mileage, increasing a stroke effective state label for the stroke, wherein the corresponding stroke is an effective stroke.
Preferably, the process polymerization conditions in step 3 specifically include:
calculating the time interval between the new travel and the current travel;
if the time interval is less than the first preset time t1, the two strokes are considered to be the same stroke, and stroke aggregation is carried out;
if the time interval is greater than or equal to a first preset time t1 and less than a second preset time t2, checking whether the current stroke is an invalid stroke, and if the current stroke is the invalid stroke, considering the two strokes as the same stroke, and performing stroke aggregation;
if the time interval is greater than or equal to the second preset time t2 and less than the third preset time t3 and the current journey is an invalid journey, at this time, if the distance between the starting point of the new journey and the end point of the current journey is within the preset distance, two journeys are judged to be the same journey, and journey aggregation is carried out.
Specifically, the time interval between the new travel and the current travel is calculated, and if the time interval is within 3 minutes, the two travels are considered to be the same travel, and travel aggregation is performed.
And if the time interval is more than 3 minutes but within 10 minutes, checking whether the current stroke is an invalid stroke, and if the current stroke is the invalid stroke, considering the two strokes as the same stroke, and performing stroke aggregation.
If the time interval is greater than 10 minutes but within 30 minutes and the current journey is an invalid journey, then if the distance between the starting point of the new journey and the end point of the current journey is within 1 kilometer, the two journeys are considered as the same journey, and journey aggregation is carried out.
Preferably, the run-length polymerization specifically comprises:
marking the current travel state as not finished;
updating the latest time, mileage and fuel consumption state quantity of the new journey to the current journey;
the current travel is set to the latest trip.
The invention discloses a journey analysis method based on big data real-time calculation and vehicle engine state, firstly, based on various operation signals that can be obtained by a vehicle, a journey analysis system for vehicle driving data is designed, and the key data conditions of segmentation are as follows: vehicle engine status and data acquisition time; and secondly, monitoring the state data (start-stop and rotating speed) and the running data of the vehicle engine in real time, and dynamically realizing the statistics and segmentation of the vehicle travel data in real time. Secondly, after the journey is cut and a new journey is started, analyzing the starting time and the starting position of the new journey, the time interval between the new journey and the previous journey, the distance between the new journey and the ending point and the running distance of the previous journey, comprehensively judging whether the two journeys can be merged, and reducing the false cutting rate; finally, when the journey is finished, the journey state is modified to be finished, the mileage is analyzed, the journey with the mileage less than 1 kilometer is pasted with an invalid journey label (which can be used as one of the conditions for journey merging), and then persistence is carried out. Compared with the prior art, the method has the advantages that the large-scale quasi-real-time automatic segmentation analysis of the vehicle travel is realized by adopting a large-data real-time calculation analysis technology, and the engine state of the vehicle is used as a travel analysis key condition, so that the method is more accurate than the method using speed as a travel segmentation condition.
As a second embodiment of the present invention, there is provided a stroke analyzing device based on a state of an engine of a vehicle, the device including: the system comprises a transmitter state monitoring module, a stroke segmentation module, a stroke aggregation module and a latest state library;
the transmitter state monitoring module is used for monitoring the generated engine state data in real time according to the vehicle by utilizing a big data real-time computing technology;
the stroke segmentation module is used for performing stroke segmentation on the basis of the engine state of the vehicle at the current moment and the latest engine state stored in the latest state library;
the stroke aggregation module is used for comparing the current stroke state with the new stroke state according to the stroke aggregation condition when the result after the stroke segmentation is that the new stroke is started, and performing stroke aggregation on the strokes meeting the stroke aggregation condition;
and the latest state library is used for storing the engine state data at the previous moment of the current moment and replacing the latest engine state stored in the latest state library with the current real-time engine state of the vehicle after the trip is cut.
Compared with the prior art that the travel analysis and calculation of the vehicle are carried out through mass data, the method and the device only use the state data of the transmitter as the key condition of the travel analysis, can effectively generate the travel data of the vehicle, realize large-scale quasi-real-time automatic segmentation and analysis of the vehicle travel, greatly save the calculation cost and improve the efficiency and the accuracy of the travel analysis compared with the prior travel analysis.
Preferably, the stroke segmentation performed by the stroke segmentation module specifically comprises:
if the engine state at the current moment of the vehicle and the latest engine state stored in the latest state library are both starting states, judging that the travel at the current moment of the vehicle and the travel corresponding to the latest engine state stored in the latest state library are the same travel, and judging that the vehicle is currently running;
if the engine state at the current moment of the vehicle is a stop state and the stored latest engine state is a start state, judging that the stroke at the current moment of the vehicle and the stroke corresponding to the latest engine state stored in the latest state library are the same stroke, stopping the vehicle and ending the current stroke;
and if the engine state at the current moment of the vehicle is a starting state and the stored latest engine state is a stopping state, judging that the stroke of the current moment of the vehicle is different from the stroke corresponding to the latest engine state stored in the latest state library, and starting a new stroke by the vehicle.
Preferably, the device further comprises a stroke result judging module; the stroke result judging module is used for increasing an effective or invalid state label for the stroke according to whether the stroke mileage of the stroke is less than a preset mileage or not, and specifically comprises the following steps:
if the continuous driving mileage is less than the preset mileage, adding a travel invalid state label for the travel, wherein the corresponding travel is an invalid travel;
and if the continuous driving mileage is more than or equal to the preset mileage, adding a stroke effective state label for the stroke, wherein the corresponding stroke is an effective stroke.
In the above embodiment, the preset mileage is preferably set to 1 km, for example, a trip with a continuous driving mileage of not less than 1 km is marked as an effective trip; a trip with a continuous driving range of less than 1 kilometer is marked as an invalid trip.
Preferably, the process polymerization conditions are in particular:
calculating the time interval between the new travel and the current travel;
if the time interval is less than the first preset time t1, the two strokes are considered to be the same stroke, and stroke aggregation is carried out;
if the time interval is greater than or equal to a first preset time t1 and less than a second preset time t2, checking whether the current stroke is an invalid stroke, and if the current stroke is the invalid stroke, considering the two strokes as the same stroke, and performing stroke aggregation;
if the time interval is greater than or equal to the second preset time t2 and less than the third preset time t3 and the current journey is an invalid journey, at this time, if the distance between the starting point of the new journey and the end point of the current journey is within the preset distance, two journeys are judged to be the same journey, and journey aggregation is carried out.
In the above embodiment, the first preset time t1 is preferably set to 3 minutes, the second preset time t2 is preferably set to 10 minutes, the third preset time t3 is preferably set to 30 minutes, the time interval between the new journey and the current journey is calculated, and if the time interval is within 3 minutes, the two journeys are considered to be the same journey, and journey aggregation is performed; if the time interval is more than 3 minutes but within 10 minutes, checking whether the current process is an invalid process, and if the current process is the invalid process, considering the two processes as the same process, and performing process aggregation; if the time interval is greater than 10 minutes but within 30 minutes and the current journey is an invalid journey, then if the distance between the starting point of the new journey and the end point of the current journey is within 1 kilometer, the two journeys are considered as the same journey, and journey aggregation is carried out.
Preferably, when the run-length polymerization condition is satisfied, the run-length polymerization performed by the run-length polymerization module specifically comprises:
marking the current travel state as not finished;
updating the latest time, mileage and fuel consumption state quantity of the new journey to the current journey;
the current travel is set to the latest trip.
The invention pushes the real-time data of the vehicle engine to a message queue for data buffering of real-time calculation, pulls the vehicle engine data from the message queue by real-time big data calculation, processes the data in parallel according to the vehicle, judges the current state of the vehicle engine according to the starting and stopping state of the vehicle engine in the pulled data, inquires the stored latest state of the vehicle engine before the current data from a latest state library according to the vehicle number, jointly judges whether to start a new stroke according to the current state of the data and the stored latest state, if the judgment result is that the new stroke is not started, continues to pull the vehicle engine data from the message queue, if the judgment result is that the new stroke is started, judges whether the data can be aggregated according to the current stroke and the new stroke state, if the data is not aggregated, updates the current stroke state in the stroke library to be the end, inserts the new stroke and marks the current stroke, and if the judgment result is polymerizable, updating the current journey in the journey library to be unfinished, always updating the latest transmitter state of the vehicle to be the current data state no matter what the judgment result is, and returning to the previous state to continue pulling the vehicle engine data from the message queue no matter what the judgment result is.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. A trip analysis method based on a vehicle engine state, the method comprising:
step 1, monitoring engine state data generated by a vehicle in real time according to the vehicle by utilizing a big data real-time computing technology;
step 2, performing stroke segmentation based on the engine state of the vehicle at the current moment and the latest engine state stored in the latest state library;
step 3, if the result after the stroke segmentation in the step 2 is that a new stroke is started, comparing the current stroke state with the new stroke state according to the stroke polymerization condition, and performing stroke polymerization on the strokes meeting the stroke polymerization condition;
the latest state library stores the engine state data at the previous moment of the current moment, and after the trip segmentation in the step 2, the latest engine state stored in the latest state library is replaced by the current real-time engine state of the vehicle;
wherein, step 2 specifically includes:
if the engine state at the current moment of the vehicle and the latest engine state stored in the latest state library are both starting states, judging that the travel at the current moment of the vehicle and the travel corresponding to the latest engine state stored in the latest state library are the same travel, and judging that the vehicle is currently running;
if the engine state of the vehicle at the current moment is a stop state and the stored latest engine state is a start state, judging that the stroke of the vehicle at the current moment is the same as the stroke corresponding to the latest engine state stored in the latest state library, stopping the vehicle and ending the current stroke;
and if the engine state at the current moment of the vehicle is a starting state and the stored latest engine state is a stopping state, judging that the stroke of the current moment of the vehicle is different from the stroke corresponding to the latest engine state stored in the latest state library, and starting a new stroke by the vehicle.
2. The vehicle engine state based trip analysis method of claim 1, further comprising: according to whether the travel mileage of the travel is less than the preset mileage or not, an effective or ineffective state label is added to the travel, and the method specifically comprises the following steps:
if the continuous driving mileage is less than the preset mileage, adding a travel invalid state label for the travel, wherein the corresponding travel is an invalid travel;
and if the continuous driving mileage is more than or equal to the preset mileage, adding a stroke effective state label for the stroke, wherein the corresponding stroke is an effective stroke.
3. The trip analysis method based on the vehicle engine state according to claim 1, wherein the trip aggregation condition in step 3 specifically includes:
calculating the time interval between the new journey and the current journey;
if the time interval is less than the first preset time t1, the two strokes are considered to be the same stroke, and stroke aggregation is carried out;
if the time interval is greater than or equal to a first preset time t1 and less than a second preset time t2, checking whether the current stroke is an invalid stroke, and if the current stroke is the invalid stroke, considering that the two strokes are the same stroke, and performing stroke aggregation;
if the time interval is greater than or equal to the second preset time t2 and less than the third preset time t3 and the current journey is an invalid journey, at this time, if the distance between the starting point of the new journey and the end point of the current journey is within the preset distance, two journeys are judged to be the same journey, and journey aggregation is carried out.
4. The vehicle engine state-based trip analysis method of claim 1, wherein the trip aggregation specifically comprises:
marking the current travel state as not finished;
updating the latest time, mileage and fuel consumption state quantity of the new journey to the current journey;
the current travel is set to the latest trip.
5. A trip analysis apparatus based on a state of an engine of a vehicle, the apparatus comprising: the system comprises a transmitter state monitoring module, a stroke segmentation module, a stroke aggregation module and a latest state library;
the transmitter state monitoring module is used for monitoring the generated engine state data in real time according to the vehicle by utilizing a big data real-time computing technology;
the stroke segmentation module is used for performing stroke segmentation on the basis of the engine state of the vehicle at the current moment and the latest engine state stored in the latest state library;
the stroke aggregation module is used for comparing the current stroke state with the new stroke state according to the stroke aggregation condition when the result after the stroke segmentation is that the new stroke is started, and performing stroke aggregation on the strokes meeting the stroke aggregation condition;
the latest state library is used for storing the engine state data at the previous moment of the current moment and replacing the latest engine state stored in the latest state library with the current real-time engine state of the vehicle after the trip is segmented;
the stroke segmentation performed by the stroke segmentation module specifically comprises the following steps:
if the engine state at the current moment of the vehicle and the latest engine state stored in the latest state library are both starting states, judging that the travel at the current moment of the vehicle and the travel corresponding to the latest engine state stored in the latest state library are the same travel, and judging that the vehicle is currently running;
if the engine state of the vehicle at the current moment is a stop state and the stored latest engine state is a start state, judging that the stroke of the vehicle at the current moment is the same as the stroke corresponding to the latest engine state stored in the latest state library, stopping the vehicle and ending the current stroke;
and if the engine state at the current moment of the vehicle is a starting state and the stored latest engine state is a stopping state, judging that the stroke of the current moment of the vehicle is different from the stroke corresponding to the latest engine state stored in the latest state library, and starting a new stroke by the vehicle.
6. The vehicle engine state-based trip analysis device of claim 5, further comprising a trip result determination module; the stroke result judging module is used for increasing an effective or invalid state label for the stroke according to whether the stroke mileage of the stroke is less than a preset mileage or not, and specifically comprises the following steps:
if the continuous driving mileage is less than the preset mileage, adding a travel invalid state label for the travel, wherein the corresponding travel is an invalid travel;
and if the continuous driving mileage is more than or equal to the preset mileage, increasing a stroke effective state label for the stroke, wherein the corresponding stroke is an effective stroke.
7. The vehicle engine state-based course analyzing device according to claim 5, wherein the course aggregation condition is specifically:
calculating the time interval between the new travel and the current travel;
if the time interval is less than the first preset time t1, the two strokes are considered to be the same stroke, and stroke aggregation is carried out;
if the time interval is greater than or equal to a first preset time t1 and less than a second preset time t2, checking whether the current stroke is an invalid stroke, and if the current stroke is the invalid stroke, considering the two strokes as the same stroke, and performing stroke aggregation;
if the time interval is greater than or equal to the second preset time t2 and less than the third preset time t3 and the current journey is an invalid journey, at this time, if the distance between the starting point of the new journey and the end point of the current journey is within the preset distance, two journeys are judged to be the same journey, and journey aggregation is carried out.
8. The vehicle engine state-based course analysis device according to claim 5, wherein when the course aggregation condition is satisfied, the course aggregation module performs the course aggregation specifically as follows:
marking the current travel state as not finished;
updating the latest time, mileage and fuel consumption state quantity of the new journey to the current journey;
the current travel is set to the latest trip.
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