CN111311903B - Vehicle driving state monitoring method, terminal device and storage medium - Google Patents

Vehicle driving state monitoring method, terminal device and storage medium Download PDF

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CN111311903B
CN111311903B CN201910135975.8A CN201910135975A CN111311903B CN 111311903 B CN111311903 B CN 111311903B CN 201910135975 A CN201910135975 A CN 201910135975A CN 111311903 B CN111311903 B CN 111311903B
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threshold value
threshold
road environment
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environment type
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CN111311903A (en
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涂岩恺
罗腾元
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Xiamen Yaxon Networks Co Ltd
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Xiamen Yaxon Networks Co Ltd
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/80—Technologies aiming to reduce greenhouse gasses emissions common to all road transportation technologies
    • Y02T10/84—Data processing systems or methods, management, administration

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  • Analytical Chemistry (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Mathematical Physics (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention relates to a vehicle running state monitoring method, a terminal device and a storage medium, wherein in the method, a judgment threshold value acquisition process and a real-time monitoring process which run synchronously are carried out; in the process of obtaining the judgment threshold, calculating a corresponding first threshold and a second threshold according to the driving data of different road environment types; and in the real-time monitoring process, judging through the calculated first threshold value and second threshold value and the current driving data, and carrying out corresponding reminding according to a judgment result. The invention can enable the driver to continuously correct the driving operation under the reminding, thereby continuously updating the judgment threshold value, further continuously updating the reminding judgment standard, achieving the aim of training the driver to drive economically in real time and being beneficial to improving the driving level of the driver.

Description

Vehicle driving state monitoring method, terminal device and storage medium
Technical Field
The invention relates to the technical field of ecological driving, in particular to a vehicle running state monitoring method, terminal equipment and a storage medium.
Background
Ecological driving means that the driving behavior of a driver is optimized, oil consumption is reduced, and more economical driving of a vehicle is realized. The ecological driving is generally realized by a driver training mode at present, but the mode belongs to post management, the training needs time and labor cost, and the training effect can also gradually lose as the training time interval increases.
Disclosure of Invention
In view of the above problems, the present invention is directed to a method for monitoring a driving state of a vehicle, a terminal device and a storage medium, which analyze vehicle data in real time and prompt a driver of a vehicle in real time by light or voice, so that the driver can optimize the driving behavior in real time according to the prompt.
The specific scheme is as follows:
a vehicle driving state monitoring method comprises a judging threshold value obtaining process and a real-time monitoring process which run synchronously;
a decision threshold acquisition process:
s110: setting a plurality of road environment types, obtaining the current road environment type according to the current position of the vehicle, and simultaneously obtaining driving data of the vehicle at a plurality of moments within a first specific time width of the road environment type;
s120: calculating a first threshold value and a second threshold value corresponding to the road environment type according to the acquired driving data;
s130: storing or updating the calculated first threshold and the second threshold, acquiring the driving data of the road environment type at a plurality of moments within the next specific time width, and returning to the step S120;
the real-time monitoring process comprises the following steps:
s210: obtaining a current road environment type according to the current position of the vehicle, judging whether the current road environment type has a corresponding first threshold value and a second threshold value, if so, finding out the corresponding first threshold value and second threshold value, and entering S220; otherwise, returning to S210;
s220: acquiring current driving data of a vehicle, and calculating corresponding one hundred kilometers of oil consumption;
s230: and judging the relation between the current one hundred kilometer fuel consumption of the vehicle and a first threshold value and a second threshold value corresponding to the current road environment type, carrying out corresponding reminding according to a judgment result, and returning to the step S210.
Further, step S120 is: respectively calculating the fuel consumption per hundred kilometers corresponding to each piece of driving data according to a plurality of pieces of driving data of the road environment type, and calculating the red light threshold and the green light threshold corresponding to the road environment type according to the fuel consumption per hundred kilometers corresponding to all the pieces of driving data;
further, in step S120, the calculation process of the first threshold and the second threshold corresponding to the road environment type is as follows:
s121: setting a queue consisting of all driving data corresponding to the road environment type as R ═ Ri}，riN is the number of dimensions of the queue, i ═ 1,2,. n;
s122: calculating the fuel consumption per kilometer Q corresponding to all the driving data, and setting a variable k to int (Q10), wherein int represents rounding to get an integer, and for each road environment type, performing the following operations on each driving data corresponding to each road environment type:
(1) calculating a variable k according to the formula k int (Q10);
(2) setting the value of an element corresponding to a subscript which represents a driving data serial number in a queue R corresponding to the road environment type and is more than or equal to k plus 1;
entering S123 until all the driving data of the road environment type are operated;
s123: setting i to 1, a first threshold value TGSecond threshold value TR＝0；
S124: calculating a proportional value K, where K is ri/r1000(ii) a Judging a first threshold value TGIf 0 is true, the process proceeds to S125; otherwise, go to S126;
s125: determination of K>0.3, and if true, setting a first threshold TGIf i/10, go to S126; otherwise, setting i to i +1, and returning to S124;
s126: determination of K>0.7, and if true, setting a second threshold TRI/10, and finishing; otherwise, set i to i +1, return to S124.
Further, the driving data comprises the instantaneous fuel consumption Fr and the vehicle speed V.
Further, the calculation formula of the fuel consumption Q per hundred kilometers is as follows: q is 100 Fr/V.
Further, step S500 specifically includes: when Q is<TGWhen the LED lamp is turned on, the green LED lamp is turned on; when Q is>TRWhen the LED lamp is turned on, the red LED lamp is turned on; when T isG≤Q≤TRAnd when the LED lamp is turned off, the green LED lamp and the red LED lamp are both turned off.
Further, whether the time that the vehicle is in a state that the red LED lamp is on for a long time or in a state that the red LED lamp and the green LED lamp are not on is larger than a time threshold value or not is judged, if yes, voice prompt is sent, and the voice prompt is stopped being sent until the green LED lamp is on.
Further, the road environment type is a combination of a road type and a gradient type, the road type includes a high speed, a national road, an urban road and a suburban road, and the gradient type includes a steep downhill slope, a slow downhill slope, a level road, a slow uphill slope and a steep uphill slope.
A vehicle driving state monitoring terminal device includes a processor, a memory, and a computer program stored in the memory and operable on the processor, wherein the processor executes the computer program to implement the steps of the method of the embodiment of the present invention.
A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to an embodiment of the invention as described above.
The invention adopts the technical scheme and has the beneficial effects that:
1. the vehicle data is analyzed in real time, and the driving behavior is prompted through light or voice, so that a driver can optimize the driving behavior in real time according to the prompt, and the method is a more timely and effective ecological driving method.
2. The judgment threshold is counted from the driving data of the driver, and judgment is respectively carried out according to different road driving environments, so that the judgment result is more accurate.
3. The driver continuously corrects the driving operation under the reminding, so that the judgment threshold value is continuously updated, the reminding judgment standard is also continuously updated, the purpose of training the driver to drive economically in real time is achieved, and the driving level of the driver is improved.
4. When a driver drives a vehicle, oil consumption fluctuation exists, so that the driver is guided to lean to approach to an economic area of self driving in the driving process of the driver, the time occupation ratio of self behaviors in the relative economic area is improved, and the driver can be helped to optimize the oil consumption.
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Fig. 1 is a schematic flow chart illustrating a threshold determining process according to a first embodiment of the present invention.
Fig. 2 is a schematic flow chart of a real-time monitoring process according to an embodiment of the present invention.
Detailed Description
To further illustrate the various embodiments, the invention provides the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the embodiments. Those skilled in the art will appreciate still other possible embodiments and advantages of the present invention with reference to these figures.
The invention will now be further described with reference to the accompanying drawings and detailed description.
The first embodiment is as follows:
referring to fig. 1 and 2, the present invention provides a vehicle driving state monitoring method, which includes two processes of a determination threshold value acquisition process and a real-time monitoring process, which are operated synchronously.
The threshold value judging process comprises the following steps:
s110: the method comprises the steps of setting a plurality of road environment types, obtaining the current road environment type according to the current position of a vehicle, and meanwhile obtaining driving data of the vehicle at a plurality of moments within a first specific time width of the road environment type.
In the embodiment, the driving state is divided into three processes, namely a fuel saving state, an intermediate state and a fuel waste state according to the actual driving condition, so that the judgment threshold needs to be set into two judgment thresholds, namely a first judgment threshold and a second judgment threshold.
In this embodiment, the road environment type is a combination of a road type and a gradient type. The road types comprise high speed, national road, urban road except high speed and national road and suburban road except high speed and national road, and the gradient types comprise steep downgrade (gradient < -2.5%), slow downgrade (-2.5% to 1.0%), level road (-1.0% to 1.0%), slow upgrade (1.0% to 2.5%) and steep upgrade (2.5% to 2.5%). Therefore, the road environment types include 4 × 5 ═ 20. In other embodiments, other types of combinations may be adopted, and those skilled in the art may perform corresponding settings according to the requirements.
The electronic horizon technology is a technology which provides accurate information of the current and front road geographic environments for vehicles by means of high-precision map data and GPS signals, so that the vehicles have the ability of sensing the environment. In this embodiment, the road environment type is determined by an electronic horizon technique.
The driving data can be obtained through a vehicle-mounted computer, in the embodiment, the driving data includes an instantaneous oil consumption Fr (L/h), a vehicle speed V (km/h) and an accelerator treading depth Ap (0 is not treaded and 100% is completely treaded), and in other embodiments, if other judgment standards are adopted, other driving data can be collected, and no limitation is made herein.
In this embodiment, the driving data is acquired in the following manner:
the method comprises the following steps: taking a time window width W, W should not be more than 5 minutes. And collecting driving data { Fr, V, Ap } from a vehicle CAN bus every 100ms, and putting the data into a data cache region.
Step two: and clearing the previous data of W from the data buffer area, and returning to the step one loop.
It should be noted that the width of the time window and the acquisition time interval may be set according to requirements, and are not limited herein.
S120: and calculating a first threshold value and a second threshold value corresponding to the road environment type according to the acquired driving data.
The calculation process of the first threshold and the second threshold corresponding to each road environment type specifically includes:
s121: setting a queue consisting of all driving data corresponding to the road environment type as R ═ Ri}，riN, n is the dimension of the queue, where r is the number of dimensions of the queuei＝{Fri，Vi，Api}。
In this example, n is 1000 for the following reasons: the subscript i corresponds to a value obtained by rounding the oil consumption of the vehicle after 10 per hundred kilometers, and the oil consumption of the current vehicle, whether a truck or a car, at the highest per hundred kilometers cannot exceed 100L per hundred kilometers, so that the queue dimension of the accumulated statistics of the oil consumption is 1000.
S122: and calculating the fuel consumption Q of one hundred kilometers corresponding to all the driving data by a formula Q of 100 Fr/V.
Setting a variable k to int (Q10), where int represents rounding to get an integer, and for each road environment type, performing the following operations on each corresponding driving data:
(1) calculating a variable k according to the formula k int (Q10);
(2) and setting the value of the element corresponding to the subscript not less than k representing the driving data serial number in the queue R corresponding to the road environment type and adding 1.
And entering S123 until all the driving data of the road environment type are operated.
S123: setting i to 1, a first threshold value TGSecond threshold value TR＝0。
S124: calculating a proportional value K, where K is ri/r1000(ii) a Judging a first threshold value TGIf 0 is true, the process proceeds to S125; otherwise, the process proceeds to S126.
S125: determination of K>0.3, and if true, setting a first threshold TGIf i/10, go to S126; otherwise, set i to i +1, return to S124.
S126: determination of K>0.7, and if true, setting a second threshold TRI/10, and finishing; otherwise, set i to i +1, return to S124.
Through the steps, the first threshold and the second threshold corresponding to each road environment type are obtained.
S130: and storing or updating the calculated first threshold and the second threshold, acquiring the driving data of the road environment type at a plurality of moments in the next specific time width, and returning to the step S120.
It should be noted that the storing and updating may store or update the first threshold value and the second threshold value to the corresponding first threshold value registerAnd the second threshold register, the intermediate parameter may also be assigned to be stored and updated, and in this embodiment, the assignment to the register is preferably adopted. The first threshold value T is set in the above-described steps S123 to S126GAnd a second threshold value TRThe values of (a) are stored in the memory or the temporary storage, not in the first threshold register and the second threshold register, at different addresses, and therefore, the values stored in the first threshold register and the second threshold register are the values of the finally calculated decision threshold, and the values in steps S123 to S126 are for convenience of each calculation.
Through step S130, the real-time update of the judgment threshold data, i.e., the first threshold and the second threshold data, is completed, so that the vehicle can make a judgment according to the latest judgment threshold calculated by the driving state, thereby achieving the purpose of training the driver in real time for economic driving and contributing to improving the driving level of the driver.
It should be noted that, when the real-time monitoring process is executed, the determination threshold acquisition process is also executed synchronously and is not stopped.
The real-time monitoring process comprises the following steps:
s210: obtaining a current road environment type according to the current position of the vehicle, judging whether the current road environment type has a corresponding first threshold value and a second threshold value, if so, finding out the corresponding first threshold value and second threshold value, and entering S220; otherwise, return to S210.
Accordingly, in this embodiment, whether the first threshold value and the second threshold value correspond to each other is determined by determining whether the first threshold value register and the second threshold value register corresponding to the current road environment type are empty.
S220: and acquiring the current driving data of the vehicle, and calculating the corresponding one hundred kilometers of oil consumption.
The current driving data and the road environment type in steps S210 and S220 can be obtained by the method in step S100.
S230: and judging the relation between the current one hundred kilometer fuel consumption of the vehicle and a first threshold value and a second threshold value corresponding to the current road environment type, carrying out corresponding reminding according to a judgment result, and returning to the step S210.
The reminding can be sound reminding or light reminding, and the embodiment combines light reminding and sound reminding. Other types of reminders may be used by those skilled in the art.
The specific determination method in this embodiment is as follows:
when Q is<TGWhen the driver is in a driving state, the green LED lamp is correspondingly turned on, so that the current driving behavior of the driver is more economical and oil-saving; when Q is>TRWhen the driver is in driving, the red LED lamp is correspondingly lightened, which indicates that the current driving behavior of the driver is more fuel-consuming; when T isG≤Q≤TRAnd meanwhile, the LED lamp is turned off, so that the current driving behavior is relatively common, and the LED lamp is not oil-consuming and economical.
In addition, in order to better remind the driver to perform corresponding operations, the embodiment further includes:
and judging whether the time that the vehicle is in a state that the red LED lamp is on for a long time or in a state that the red LED lamp and the green LED lamp are not on is greater than a time threshold, if so, sending a voice prompt to remind a driver to correct the driving behavior, reducing the accelerator, achieving the purpose of guiding the ecological driving in real time, and stopping sending the voice prompt until the green LED lamp is on. The time threshold can be set by a person skilled in the art according to requirements, such as 5 min.
The first embodiment has the following beneficial effects:
1. the vehicle data is analyzed in real time, and the driving behavior is prompted through light or voice, so that a driver can optimize the driving behavior in real time according to the prompt, and the method is a more timely and effective ecological driving method.
2. The judgment threshold is counted from the driving data of the driver, and judgment is respectively carried out according to different road driving environments, so that the judgment result is more accurate.
3. The driver continuously corrects the driving operation under the reminding, so that the judgment threshold value is continuously updated, the reminding judgment standard is also continuously updated, the purpose of training the driver to drive economically in real time is achieved, and the driving level of the driver is improved.
4. When a driver drives a vehicle, oil consumption fluctuation exists, so that the driver is guided to lean to approach to an economic area of self driving in the driving process of the driver, the time occupation ratio of self behaviors in the relative economic area is improved, and the driver can be helped to optimize the oil consumption.
Example two:
the invention also provides a vehicle running state monitoring terminal device, which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor executes the computer program to realize the steps of the method embodiment of the first embodiment of the invention.
Further, as an executable scheme, the vehicle driving state monitoring terminal device may be a computing device such as an in-vehicle computer and a cloud server. The vehicle driving state monitoring terminal device can include, but is not limited to, a processor and a memory. It is understood by those skilled in the art that the above-mentioned constituent structure of the vehicle driving state monitoring terminal device is only an example of the vehicle driving state monitoring terminal device, and does not constitute a limitation to the vehicle driving state monitoring terminal device, and may include more or less components than the above, or combine some components, or different components, for example, the vehicle driving state monitoring terminal device may further include an input/output device, a network access device, a bus, and the like, which is not limited in this embodiment of the present invention.
Further, as an executable solution, the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, and the like. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, and the processor is a control center of the vehicle running state monitoring terminal device, and various interfaces and lines are used to connect various parts of the entire vehicle running state monitoring terminal device.
The memory may be used to store the computer program and/or the module, and the processor may implement various functions of the vehicle driving state monitoring terminal device by operating or executing the computer program and/or the module stored in the memory and calling data stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the mobile phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The invention also provides a computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned method of an embodiment of the invention.
The module/unit integrated with the vehicle driving state monitoring terminal device may be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as a separate product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM ), Random Access Memory (RAM), software distribution medium, and the like.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (8)

1. A vehicle driving state monitoring method is characterized by comprising a judging threshold value obtaining process and a real-time monitoring process which run synchronously;
a decision threshold acquisition process:
s110: setting a plurality of road environment types, obtaining the current road environment type according to the current position of the vehicle, and simultaneously obtaining driving data of the vehicle at a plurality of moments within a first specific time width of the road environment type;
s120: calculating a first threshold value and a second threshold value corresponding to the road environment type according to the acquired driving data; the calculation process of the first threshold and the second threshold corresponding to the road environment type is as follows:
s121: setting a queue consisting of all driving data corresponding to the road environment type as R ═ Ri}，riThe subscript i corresponds to the integral value of the oil consumption of the vehicle after 10 kilometers, wherein i is 1, 2.
S122: calculating the fuel consumption per kilometer Q corresponding to all the driving data, and setting a variable k to int (Q10), wherein int represents rounding to get an integer, and for each road environment type, performing the following operations on each driving data corresponding to each road environment type:
(1) calculating a variable k according to the formula k int (Q10);
(2) setting the value of an element corresponding to a subscript i which represents a driving data serial number in a queue R corresponding to the road environment type and is more than or equal to k plus 1;
entering S123 until all the driving data of the road environment type are operated;
s123: setting i to 1, a first threshold value TGSecond threshold value TR＝0；
S124: calculating a proportional value K, where K is ri/r1000(ii) a Judging a first threshold value TGIf 0 is true, the process proceeds to S125; otherwise, go to S126;
s125: determination of K>0.3, and if true, setting a first threshold TGIf i/10, go to S126; otherwise, setting i to i +1, and returning to S124;
s126: determination of K>0.7, and if true, setting a second threshold TRI/10, and finishing; otherwise, setting i to i +1, and returning to S124;
s130: storing or updating the calculated first threshold and the second threshold, acquiring the driving data of the road environment type at a plurality of moments within the next specific time width, and returning to the step S120;
the real-time monitoring process comprises the following steps:
s210: obtaining a current road environment type according to the current position of the vehicle, judging whether the current road environment type has a corresponding first threshold value and a second threshold value, if so, finding out the corresponding first threshold value and second threshold value, and entering S220; otherwise, returning to S210;
s220: acquiring current driving data of a vehicle, and calculating corresponding one hundred kilometers of oil consumption;
s230: and judging the relationship between the current one hundred kilometers fuel consumption of the vehicle and a first threshold value and a second threshold value corresponding to the current road environment type, carrying out corresponding reminding according to the judgment result, and returning to the S210.
2. The vehicle running state monitoring method according to claim 1, characterized in that: step S120 is: and respectively calculating the fuel consumption per hundred kilometers corresponding to each piece of driving data according to the plurality of pieces of driving data of the road environment type, and calculating the red light threshold and the green light threshold corresponding to the road environment type according to the fuel consumption per hundred kilometers corresponding to all pieces of driving data.
3. The vehicle running state monitoring method according to claim 1, characterized in that: the calculation formula of the oil consumption Q per hundred kilometers is as follows: q is 100 Fr/V.
4. The vehicle running state monitoring method according to claim 1, characterized in that: step S230 specifically includes: when Q is<TGWhen the LED lamp is turned on, the green LED lamp is turned on; when Q is>TRWhen the LED lamp is turned on, the red LED lamp is turned on; when T isG≤Q≤TRAnd when the LED lamp is turned off, the green LED lamp and the red LED lamp are both turned off.
5. The vehicle running state monitoring method according to claim 4, characterized in that: step S230 further includes: and judging whether the time that the vehicle is in the state that the red LED lamp is on for a long time or in the state that the red LED lamp and the green LED lamp are not on is greater than a time threshold value, if so, sending voice prompt, and stopping sending the voice prompt until the green LED lamp is on.
6. The vehicle running state monitoring method according to claim 1, characterized in that: the road environment type is a combination of a road type and a gradient type, the road type comprises a high speed road, a national road, an urban road and a suburban road, and the gradient type comprises a steep downgrade, a slow downgrade, a flat road, a slow upgrade and a steep upgrade.
7. A vehicle driving state monitoring terminal device is characterized in that: comprising a processor, a memory and a computer program stored in the memory and running on the processor, the processor implementing the steps of the method according to any one of claims 1 to 6 when executing the computer program.
8. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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