CN115130852A - Data transmission quality evaluation method, device, equipment and medium for Internet of vehicles equipment - Google Patents
Data transmission quality evaluation method, device, equipment and medium for Internet of vehicles equipment Download PDFInfo
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Abstract
The invention relates to a method and a device for evaluating data transmission quality of Internet of vehicles equipment, wherein the method comprises the following steps: selecting at least two evaluation areas and all vehicles to be evaluated which pass through preset type data from each evaluation area within a preset time length; reading preset type data uploaded by all vehicles to be evaluated from each evaluation area within a preset time; respectively determining the data quality index of each vehicle to be evaluated based on preset type data uploaded by each vehicle to be evaluated from each evaluation area within a preset time; wherein, an assessment area and a vehicle to be assessed correspond to a data quality index; based on a plurality of data quality indexes respectively corresponding to each evaluation area, respectively extracting at least one target vehicle with the data quality index not meeting a first preset requirement from all vehicles to be evaluated corresponding to each evaluation area; and screening out the target vehicles with VIN code repetition from all the target vehicles, and regarding the target vehicles as fault vehicles with poor vehicle network data transmission quality.
Description
Technical Field
The invention relates to the field of vehicle network data analysis, in particular to a method and a device for evaluating data transmission quality of vehicle networking equipment, control equipment and a readable storage medium.
The invention can also be used for vehicle intelligent pushing, including suggesting parking areas to the user; for the area with insufficient signal coverage, suggesting that the user does not go to select other areas around; the vehicle monitoring level of the cloud platform is improved, and the overheating safety and the anti-theft safety of the vehicle are guaranteed.
Background
Based on national standard requirements, the vehicle network equipment needs to upload part of data generated when the new energy vehicle runs, such as total mileage data and SOC data, and the cloud platform can utilize vehicle states of carstatus (1 represents running and 2 represents power off), charging state of chargestatus (1 represents charging and other states represent non-charging) and terminal time (terminal time) in the data to perform abnormal monitoring on the vehicle, such as early warning and monitoring on whether the vehicle is in thermal runaway and other problems. Therefore, the data analysis result of the cloud platform can be seriously influenced by the quality of data transmission between the car networking equipment and the cloud end. The new energy automobile backtransmission data mainly has two problems: one is that the data returned by the new energy automobile is lost, and the platform cannot analyze and use the data due to incomplete data; secondly, the real-time performance of data returned by the new energy automobile is not high, the returned data are not data within a certain time range at the current moment, and when the cloud platform performs function early warning by using the data, the real-time dependency on the data is high, so that the early warning function of the cloud platform is adversely affected due to data delay. Therefore, the quality of data transmission of the car networking equipment is monitored to be very important.
Disclosure of Invention
The invention provides a data quality evaluation method and device for Internet of vehicles equipment, control equipment and a readable storage medium, which are used for identifying the Internet of vehicles equipment with poor data transmission quality.
The technical scheme of the invention is as follows:
the invention provides a data transmission quality evaluation method for Internet of vehicles equipment, which comprises the following steps:
selecting at least two evaluation areas and all vehicles to be evaluated which pass through preset type data from each evaluation area within a preset time length; reading preset type data uploaded from each evaluation area by all vehicles to be evaluated within a preset time;
respectively determining the data quality index of each vehicle to be evaluated based on preset type data uploaded from each evaluation area by each vehicle to be evaluated within a preset time; wherein, an assessment area and a vehicle to be assessed correspond to a data quality index;
based on a plurality of data quality indexes corresponding to each assessment area, at least one target vehicle of which the data quality index does not meet a first preset requirement is extracted from all vehicles to be assessed corresponding to each assessment area;
and screening out the target vehicles with repeated VIN codes from all the target vehicles, and regarding the target vehicles as fault vehicles with poor data transmission quality in the Internet of vehicles.
Preferably, the method further comprises:
and screening out at least one target area meeting a second preset requirement based on the high-low sequence of the plurality of data quality indexes corresponding to each evaluation area, and regarding the target area as a weak area with poor data transmission quality.
Preferably, the preset type data is at least one of total mileage data uploaded by the vehicle under a driving condition, SOC data uploaded by the vehicle under a charging condition, a vehicle state, a charging state and terminal time;
the step of respectively determining the data quality index of each vehicle to be evaluated based on the preset type data uploaded by each vehicle to be evaluated from each evaluation area within the preset time comprises the following steps:
determining a data frame loss rate and a data delay rate of each vehicle to be evaluated in each evaluation area based on total mileage data and SOC data uploaded by each vehicle to be evaluated from each evaluation area within a preset time;
and determining the data quality index of each vehicle to be evaluated in each evaluation area based on the data frame loss rate and the data delay rate of each vehicle to be evaluated in each evaluation area.
Preferably, the step of determining the data frame loss rate of each vehicle to be evaluated in each evaluation area based on the total mileage data and the SOC data uploaded by each vehicle to be evaluated from each evaluation area within a predetermined time includes:
based on total mileage data uploaded by each vehicle to be evaluated from each evaluation area within a preset time, continuous segments with a vehicle state equal to 1 and a charging state not equal to 1 are extracted, and then the following steps are carried out:
screening out at least one group of abnormal total mileage data with total mileage jumping in two adjacent total mileage data, determining a total mileage jumping variable corresponding to each group of abnormal total mileage data, dividing the sum of all total mileage jumping variables by a preset vehicle speed, and dividing the sum of all total mileage jumping variables by a data transmission period to serve as a first frame loss frequency; screening out all interval durations of two adjacent total mileage data exceeding the data transmission period, and using the ratio of the sum of all interval durations to the data transmission period as a second frame loss frequency;
on the basis of SOC data uploaded by each vehicle to be evaluated from each evaluation area within a preset time, continuous segments of which the vehicle state is equal to 1 and the charging state is also equal to 1 are extracted, and then the steps are executed for the continuous segments:
screening multiple sets of abnormal SOC data with SOC hopping in two adjacent SOC data, determining a current mean value and an SOC hopping variable corresponding to each set of abnormal SOC data, multiplying the total battery amount by each SOC hopping amount, dividing the multiplied battery amount by the corresponding current mean value to obtain a plurality of missing charging time lengths, and taking the ratio of the sum of the missing charging time lengths to a data transmission period as a third frame dropping time;
and adding the third frame dropping time to the smaller value of the first frame dropping time and the second frame dropping time to obtain the total frame dropping time, and taking the ratio of the total frame dropping time to the total times of all the total mileage data and all the SOC data received within a predetermined time length as the data frame dropping rate of the vehicle to be evaluated in the evaluation area.
Preferably, the step of determining the data delay rate of each vehicle to be evaluated in each evaluation area based on the total mileage data and the SOC data uploaded by each vehicle to be evaluated from each evaluation area within a predetermined time period includes:
based on the total mileage data uploaded by each vehicle to be evaluated from each evaluation area within a preset time, the following steps are executed:
counting all abnormal total mileage data of which the difference value between the data uploading time and the data receiving time of the total mileage data exceeds a preset time length to obtain a first delay time;
based on SOC data uploaded from each evaluation area by each vehicle to be evaluated within a preset time, executing the following steps:
counting all abnormal SOC data of which the difference value between the data uploading time and the data receiving time of the SOC data exceeds a preset time length to obtain a second delay time;
and taking the ratio of the sum of the first delay times and the second delay times to the total times of all the total mileage data and all the SOC data received in a preset time period as the data delay rate of the vehicle to be evaluated in the evaluation area.
Preferably, the step of determining the data quality index of each vehicle to be evaluated in each evaluation area based on the data frame loss rate and the data delay rate of each vehicle to be evaluated in each evaluation area comprises:
for each vehicle to be evaluated, executing the following steps:
and taking the sum of the product of the data frame loss rate of the vehicle to be evaluated in the evaluation area and the first preset weight and the product of the data delay rate of the vehicle to be evaluated in the evaluation area and the second preset weight as the data quality index of the vehicle to be evaluated in the evaluation area.
Preferably, the step of respectively extracting at least one target vehicle, of which the data quality index does not meet the first preset requirement, from all vehicles to be evaluated corresponding to each evaluation area based on the plurality of data quality indexes corresponding to each evaluation area includes:
and respectively extracting at least one target vehicle with the data quality index sequence within the last n% range from all vehicles to be evaluated corresponding to each evaluation area based on the plurality of data quality indexes corresponding to each evaluation area, wherein n% is a predefined value.
Preferably, the step of screening out at least one target area meeting the second preset requirement based on the rank of the plurality of data quality indicators corresponding to each evaluation area includes:
and screening out at least one target area with the data quality index sequence within the range of m% later based on the high-low sequence of the plurality of data quality indexes corresponding to each evaluation area, wherein the m% is a predefined value. .
Preferably, the method further comprises:
pushing prompt information for prompting a user that the vehicle Internet of vehicles equipment is poor in transmission quality and needs to be maintained to the fault vehicle; and
when any vehicle is detected to enter the weak area for parking, prompt information which advises the user not to stay the vehicle in the weak area is pushed.
The invention also provides a device for evaluating the data transmission quality of the Internet of vehicles equipment, which comprises:
the selection module is used for selecting at least two evaluation areas and all vehicles to be evaluated which upload preset type data from each evaluation area within a preset time length;
the reading module is used for reading preset type data uploaded by all vehicles to be evaluated from each evaluation area within a preset time;
the determining module is used for respectively determining the data quality index of each vehicle to be evaluated based on preset type data uploaded by each vehicle to be evaluated from each evaluation area within a preset time; wherein, an assessment area and a vehicle to be assessed correspond to a data quality index;
the extraction module is used for respectively extracting at least one target vehicle of which the data quality index does not meet the first preset requirement from all vehicles to be evaluated corresponding to each evaluation area based on a plurality of data quality indexes corresponding to each evaluation area;
and the first screening module is used for screening out the target vehicles with VIN code repetition from all the target vehicles and regarding the target vehicles as fault vehicles with poor vehicle network data transmission quality.
Preferably, the apparatus further comprises:
and the second screening module is used for screening out at least one target area meeting a second preset requirement based on the high-low sequence of the plurality of data quality indexes corresponding to each evaluation area respectively, and regarding the target area as a weak area with poor data transmission quality.
Preferably, the preset type data is at least one of total mileage data uploaded by the vehicle under a driving condition and SOC data uploaded by the vehicle under a charging condition;
the determining module comprises:
the first determining unit is used for determining the data frame loss rate and the data delay rate of each vehicle to be evaluated in each evaluation area based on the total mileage data and the SOC data uploaded by each vehicle to be evaluated from each evaluation area within a preset time;
and the second determining unit is used for determining the data quality index of each vehicle to be evaluated in each evaluation area based on the data frame loss rate and the data delay rate of each vehicle to be evaluated in each evaluation area.
Preferably, the first determination unit includes:
the first determining subunit is used for extracting continuous segments of which the vehicle state is equal to 1 and the charging state is not equal to 1 according to total mileage data uploaded by each vehicle to be evaluated from each evaluation area within a preset time period, and then executing the following steps on the continuous segments:
screening at least one group of abnormal total mileage data with total mileage jumping in two adjacent total mileage data, determining a total mileage jumping variable corresponding to each group of abnormal total mileage data, dividing the sum of all total mileage jumping variables by a preset vehicle speed, and dividing a data transmission period by the preset vehicle speed to serve as a first frame loss time; screening out all interval durations of two adjacent total mileage data exceeding the data transmission period, and taking the ratio of the sum of all interval durations to the data transmission period as a second frame loss frequency;
the second determining subunit is used for extracting continuous segments of which the vehicle state is equal to 1 and the charging state is also equal to 1 according to the SOC data uploaded by each vehicle to be evaluated from each evaluation area within a preset time period, and then executing the following steps:
screening multiple groups of abnormal SOC data with SOC hopping in two adjacent SOC data, determining a current mean value and an SOC hopping variable corresponding to each group of abnormal SOC data, multiplying each SOC hopping quantity by the total battery quantity, dividing the sum of the plurality of SOC hopping quantities by the corresponding current mean value to obtain a plurality of missing charging durations, and taking the ratio of the sum of the plurality of missing charging durations to a data transmission cycle as a third frame dropping frequency;
and the third determining subunit is used for adding the third frame dropping time to the smaller value of the first frame dropping time and the second frame dropping time to obtain the total frame dropping time, and then taking the ratio of the total frame dropping time to the total times of all the total mileage data and all the SOC data received within the preset time as the data frame dropping rate of the vehicle to be evaluated in the evaluation area.
Preferably, the first determination unit further includes:
the fourth determining subunit is used for executing the following steps based on the total mileage data uploaded by each vehicle to be evaluated from each evaluation area within a preset time length: counting all abnormal total mileage data of which the difference value between the data uploading time and the data receiving time of the total mileage data exceeds a preset time length to obtain a first delay time;
a fifth determining subunit, configured to, based on the SOC data uploaded by each vehicle to be evaluated from each evaluation area within a predetermined time period, perform: counting all abnormal SOC data of which the difference between the data uploading time and the data receiving time of the SOC data exceeds a preset time length to obtain a second delay time;
and the sixth determining subunit is used for taking the ratio of the sum of the first delay times and the second delay times to the total times of all the total mileage data and all the SOC data received within the preset time as the data delay rate of the vehicle to be evaluated in the evaluation area.
Preferably, the second determination unit includes:
a seventh determining subunit, configured to, for each vehicle to be evaluated, perform:
and taking the sum of the product of the data frame loss rate of the vehicle to be evaluated in the evaluation area and the first preset weight and the product of the data delay rate of the vehicle to be evaluated in the evaluation area and the second preset weight as the data quality index of the vehicle to be evaluated in the evaluation area.
Preferably, the extraction module comprises:
and the extraction subunit is used for respectively extracting at least one target vehicle with the data quality index sequence within the last n% range from all vehicles to be evaluated corresponding to each evaluation area based on the plurality of data quality indexes corresponding to each evaluation area, wherein n% is a predefined value.
Preferably, the second screening module comprises:
and the screening subunit is used for screening at least one target area with the data quality index sequence within a rear m% range based on the high-low sequence of the plurality of data quality indexes respectively corresponding to the evaluation areas, wherein m% is a predefined value.
Preferably, the apparatus further comprises:
the first pushing module is used for pushing prompt information for prompting that the vehicle Internet of vehicles of the user are poor in transmission quality and need to be maintained to the fault vehicle; and
and the second pushing module is used for pushing prompt information which suggests the user not to stop the vehicle in the weak area when detecting that any vehicle enters the weak area for parking.
The invention also provides a control device, which comprises a processor, a memory and a program or an instruction stored on the memory and capable of running on the processor, wherein the program or the instruction realizes the steps of the data transmission quality evaluation method of the internet of vehicles device when being executed by the processor.
The invention also provides a readable storage medium on which a program or instructions are stored, which program or instructions, when executed by a processor, implement the steps of the data transmission quality assessment method for the vehicle networking device as described above.
The invention has the beneficial effects that:
monitoring data quality indexes of vehicles to be evaluated by using total mileage data and SOC data uploaded by the vehicles to be evaluated in a plurality of evaluation areas within a certain time period, comparing data transmission indexes of the vehicles to be evaluated in each evaluation area, selecting the part of the vehicles to be evaluated with poorer data transmission indexes as target vehicles, and matching the part of the target vehicles with the same VIN codes in the plurality of target vehicles in a vehicle VIN code matching mode; and since the data quality indexes in the plurality of evaluation areas are poor, the data transmission quality of the Internet of vehicles equipment of the part of target vehicles is determined to be poor (namely, the target vehicles are failed), and the part of target vehicles are determined to be failed vehicles. After the fault car is identified, the user can be actively advised to maintain in a pushing mode, and after-sale maintenance and modification measures are promoted to be carried out. In addition, the evaluation areas with poor overall data transmission quality can be found by comparing the overall data quality indexes of the evaluation areas, and the evaluation areas are determined to be weak areas such as underground garages with insufficient area signal coverage, remote areas and the like; because the new energy vehicle can select charging with high probability when parking, and whether data are transmitted back during parking charging is directly related to the effectiveness of battery overheating monitoring and the timeliness of risk early warning, the charging is recommended to be fully necessary in a place with good signals, and then the user can be recommended to not stop the vehicle in the area in a pushing mode.
Drawings
Fig. 1 is a schematic diagram illustrating calculation of a data quality index of a vehicle to be evaluated in the present embodiment;
fig. 2 is a schematic flow chart of the data transmission quality evaluation method of the car networking device in the present embodiment;
fig. 3 is a block diagram of the data transmission quality evaluation apparatus of the car networking device in this embodiment.
Detailed Description
Referring to fig. 1 and 2, the invention provides a data transmission quality evaluation method for vehicle networking equipment, which can be used for judging whether vehicle networking data transmission devices such as a vehicle machine/T-BOX/RMU and the like are damaged, checking the reasons of data non-uploading except the damaged equipment, and distinguishing the damaged equipment from the working condition of a vehicle without data uploading caused by the fact that a user does not drive the vehicle. The method specifically comprises the following steps:
step S10, selecting at least two assessment areas and all vehicles to be assessed which upload preset type data from each assessment area within a preset time length.
In step S10, the preset type data is at least one of total mileage data uploaded by the vehicle under the driving condition and SOC data uploaded by the vehicle under the charging condition.
Specifically, under driving conditions, < GB T32960.3-2016> specified total mileage data needs to be uploaded to the cloud platform for its analysis. The total mileage signal is a monotone increasing signal, and when the total mileage data is arranged according to the generation time, the total mileage signal is increased in a jump manner, and data loss exists before and after the data.
Furthermore, under charging conditions, < GB T32960.3-2016> specified SOC data needs to be uploaded to the cloud platform for its analysis. Generally, the SOC of the vehicle is either monotonically increasing or monotonically decreasing. The vehicle generally does not directly cause the SOC of the display vehicle to rise during energy recovery, and at most, the SOC of the display vehicle is kept flat. The SOC of the battery generally increases or decreases monotonically in general, since it is preferable that the external power supply heat the battery rather than using the battery's own charge even if the battery triggers the low-temperature heating function.
In this embodiment, the total mileage data and the SOC data that combine GB T32960.3-2016 to require to upload are as good or bad basic data to car networking device data transmission quality. The total mileage data and the SOC data are periodically uploaded to the cloud platform, and the period in this embodiment is 10s, for example.
In this embodiment, the selected evaluation area may be selected according to actual requirements. For example, a region under a city is selected as an evaluation region based on a region-level administrative region plan, or an underground parking garage of a certain cell or a mall is selected as the above-mentioned evaluation region based on actual demand. When there are a plurality of evaluation areas, the plurality of evaluation areas preferably have a certain geographical location relationship with each other, for example, the evaluation areas are a plurality of adjacent district-level administrative districts.
Similarly, the predetermined duration may be selected based on actual demand, such as the duration of a week or the duration of a month.
And step S20, reading all the preset type data uploaded by the vehicles to be evaluated from each evaluation area within a preset time.
And step S30, respectively determining the data quality index of each vehicle to be evaluated based on the preset type data uploaded by each vehicle to be evaluated from each evaluation area within a preset time.
Wherein, an assessment area and a vehicle to be assessed correspond to a data quality index.
The method comprises the following steps that preset type data uploaded by one vehicle to be evaluated in one evaluation area within a preset time length are used for calculating data quality indexes of the vehicle to be evaluated in the evaluation area.
In this embodiment, step S30 includes:
step S301, determining a data frame loss rate and a data delay rate of each vehicle to be evaluated in each evaluation area based on total mileage data and SOC data uploaded by each vehicle to be evaluated from each evaluation area within a preset time;
step S302, determining data quality indexes of the vehicles to be evaluated in the evaluation areas based on the data frame loss rate and the data delay rate of the vehicles to be evaluated in the evaluation areas.
In step S301, the step of determining the data frame loss rate of each vehicle to be evaluated in each evaluation area includes: on the basis of the total mileage data uploaded by each vehicle to be evaluated from each evaluation area within a predetermined period of time, continuous segments of a vehicle state equal to 1 (i.e., a driving state) and a state of charge unequal to 1 (i.e., the vehicle state is not a state of charge) are extracted, and then the following steps are performed:
screening out at least one group of abnormal total mileage data with total mileage jumping in two adjacent total mileage data, determining a total mileage jumping variable corresponding to each group of abnormal total mileage data, dividing the sum of all total mileage jumping variables by a preset vehicle speed, and dividing the sum of all total mileage jumping variables by a data transmission period to serve as a first frame loss frequency; screening out all interval durations of two adjacent total mileage data (namely the difference value of the terminal time) exceeding the data transmission period, and using the ratio of the sum of all the interval durations to the data transmission period as a second frame loss frequency;
on the basis of the SOC data uploaded from each evaluation area by each vehicle to be evaluated within a predetermined period of time, consecutive segments in which the vehicle state is equal to 1 (i.e., the driving state) and the state of charge is also equal to 1 (i.e., the vehicle state is not the state of charge) are extracted, and then the following steps are performed:
screening multiple groups of abnormal SOC data with SOC hopping in two adjacent SOC data, determining a current mean value and an SOC hopping variable corresponding to each group of abnormal SOC data, multiplying each SOC hopping quantity by the total battery quantity, dividing the sum of the plurality of SOC hopping quantities by the corresponding current mean value to obtain a plurality of missing charging durations, and taking the ratio of the sum of the plurality of missing charging durations to a data transmission cycle as a third frame dropping frequency;
and adding the third frame loss frequency to the smaller value of the first frame loss frequency and the second frame loss frequency to obtain the total frame loss frequency, and taking the ratio of the total frame loss frequency to the total frequency of all the total mileage data and all the SOC data received within a preset time length as the data frame loss rate of the vehicle to be evaluated in the evaluation area.
Here, in the process of calculating the frame loss rate, considering that there is a normal interval caused by powering off the vehicle when the interval duration based on two adjacent frames of data is greater than the data transmission period, if the number of data frames directly calculated according to the difference between the interval duration and the data transmission period is used as the calculation of the frame loss rate, it is unreasonable, and it is necessary to eliminate such cases.
In this embodiment, when the total mileage data is used to calculate the first frame loss times and the second frame loss times, it is assumed that the total mileage data uploaded by the vehicle a to be evaluated within one week and received by the cloud platform is 3 thousands, where 5 mileage data sets in which total mileage hopping occurs are detected, and after calculation, the frame loss times between the first to 5 group total mileage data sets are calculated to be 2, 3, 4, 3, and 2 in sequence, and total 14 times; and the second frame dropping time calculated according to the interval duration is 300 times, and the second frame dropping time calculated at this time is considered unreasonable.
The purpose of the calculation of the data frame loss rate is to verify whether the frame loss condition of the data uploaded by the vehicle network equipment is too high, and improve the accuracy of data analysis by using the data by the cloud platform.
In step S301, the step of determining the data delay rate of each vehicle to be evaluated in each evaluation area includes: based on total mileage data uploaded by each vehicle to be evaluated from each evaluation area within a preset time, the following steps are executed:
counting all abnormal total mileage data of which the difference value between the data uploading time and the data receiving time of the total mileage data exceeds a preset time length to obtain a first delay time;
based on SOC data uploaded from each evaluation area by each vehicle to be evaluated within a preset time, executing the following steps:
counting all abnormal SOC data of which the difference value between the data uploading time and the data receiving time of the SOC data exceeds a preset time length to obtain a second delay time;
and taking the ratio of the sum of the first delay times and the second delay times to the total times of all the total mileage data and all the SOC data received within a preset time as the data delay rate of the vehicle to be evaluated in the evaluation area.
The preset duration can be customized, the data uploading time of the total mileage data and the SOC data refers to the GPS time for the Internet of vehicles to upload the data, and the data receiving time of the total mileage data and the SOC data refers to the GPS time for the cloud platform to receive the data.
The purpose of calculating the data delay rate is to verify the real-time performance of data uploaded by the vehicle network equipment, and if the data delay is over verified, the data received by the cloud platform cannot be used for real-time analysis.
Step S302 includes:
for each vehicle to be evaluated, executing the following steps:
and taking the sum of the product of the data frame loss rate of the vehicle to be evaluated in the evaluation area and the first preset weight and the product of the data delay rate of the vehicle to be evaluated in the evaluation area and the second preset weight as the data quality index of the vehicle to be evaluated in the evaluation area.
The ratio of the first predetermined weight to the second predetermined weight can be customized based on the requirement, and the sum of the first predetermined weight and the second predetermined weight is 1. According to the calculated data quality index, the smaller the value of the data quality index is, the better the data transmission quality of the vehicle to be evaluated in the evaluation area is represented.
In this embodiment, other mathematical models may be selected to calculate the data quality index.
And step S40, based on the plurality of data quality indexes respectively corresponding to each evaluation area, respectively extracting at least one target vehicle with the data quality index not meeting the first preset requirement from all vehicles to be evaluated corresponding to each evaluation area.
Step S40 includes:
step S401, based on the plurality of data quality indexes respectively corresponding to each evaluation area, respectively extracting at least one target vehicle whose data quality index sequence is within the last n% range from all vehicles to be evaluated corresponding to each evaluation area, where n% is a predefined value.
For example, the number of evaluation areas selected is 3, 1000 vehicles to be evaluated are in the first evaluation area, 500 vehicles to be evaluated are determined in the second evaluation area, and 3000 vehicles to be evaluated are in the third evaluation area. 4500 data quality indexes can be determined, the 4500 data quality indexes are arranged from small to large according to the numerical size, then the data quality indexes of the portion which are located in the range of the last n percent (the definition of n percent can be customized in advance, such as the definition of the limit of 5 percent, 6 percent, 7 percent, 10 percent and the like) are screened out, and then the total 450 vehicles can be determined as the target vehicle.
And step S50, screening out the target vehicles with repeated VIN codes from all the target vehicles, and regarding the target vehicles as fault vehicles with poor vehicle network data transmission quality.
In the above example, after VIN codes are extracted from 450 determined target vehicles, if 20 of the target vehicles are found to have VIN codes that are duplicated, the 20 vehicles are determined as the faulty vehicle.
And step S60, sending prompt information for prompting the user that the vehicle Internet of vehicles equipment is poor in transmission quality and needs to be maintained to the fault vehicle.
In this embodiment, after steps S10 to S60 are executed, the following effects can be achieved: monitoring data quality indexes of vehicles to be evaluated by using total mileage data and SOC data uploaded by the vehicles to be evaluated in a plurality of evaluation areas within a certain period of time, comparing the data transmission indexes of the vehicles to be evaluated in each evaluation area, selecting the part of the vehicles to be evaluated with poorer data transmission indexes as target vehicles, and matching the part of the target vehicles with the same VIN codes in the plurality of target vehicles in a vehicle VIN code matching mode; and since the data quality indexes in the plurality of evaluation areas are poor, the data transmission quality of the Internet of vehicles equipment of the part of target vehicles is determined to be poor (namely, the target vehicles are failed), and the part of target vehicles are determined to be failed vehicles. After the fault car is identified, the user can be actively advised to maintain in a pushing mode, and after-sale maintenance and modification measures are promoted to be carried out.
And step S70, screening out at least one target area meeting a second preset requirement based on the high-low sequence of the data quality indexes corresponding to the evaluation areas respectively, and regarding the target area as a weak area with poor data transmission quality.
In step S70, the step of screening out at least one target area that satisfies a second preset requirement based on the rank order of the plurality of data quality indicators corresponding to each evaluation area includes:
step S701, based on the rank order of the plurality of data quality indicators corresponding to each evaluation region, screens out at least one target region in which the rank order of the data quality indicators is within the range of m%, where m% is a predefined value.
For example, 20 evaluation areas are selected, and 30000 vehicles to be evaluated are in the 20 evaluation areas. Then 30000 data quality indexes can be determined, the 30000 data quality indexes are arranged from small to large according to the numerical value, then the data quality indexes of the part of the data quality indexes located in the range of the rear m% (m% definition can be pre-defined, such as the boundaries of 5%, 6%, 7%, 10% and the like) are screened out, then the 1500 vehicles in total can be determined as target vehicles, the area where the 1500 target vehicles are located is determined as the target area, and the screened out target area is determined as the weak area such as an underground garage with insufficient area signal coverage, a remote area and the like.
And step S80, when any vehicle is detected to enter the weak area for parking, pushing prompt information for advising the user not to stop the vehicle in the weak area.
After steps S10, 20, 30, 70 and 80 are executed, the partial evaluation areas with poor overall data transmission quality can be found by comparing the overall data quality indexes of the plurality of evaluation areas, and the partial evaluation areas are determined to be weak areas such as underground garages with insufficient area signal coverage, remote areas and the like; because the new energy vehicle can select charging with high probability when parking, and whether data are transmitted back when parking and charging directly relates to the effectiveness of battery overheating monitoring and the timeliness of risk early warning, the charging is recommended to be fully necessary in a place with good signals, and then the user can be recommended to not stop the vehicle in the area in a pushing mode.
In conclusion, the method of the embodiment can monitor the vehicle network equipment and the area with poor data transmission quality.
As shown in fig. 3, the present invention further provides an apparatus for evaluating data transmission quality of an internet of vehicles, including:
a selecting module 10, which is used for selecting at least two evaluation areas and all vehicles to be evaluated which have passed through preset type data from each evaluation area within a preset time length;
the reading module 20 is configured to read preset type data uploaded from each assessment area by all vehicles to be assessed within a preset time period;
the determining module 30 is configured to determine data quality indexes of the vehicles to be evaluated respectively based on preset type data uploaded by the vehicles to be evaluated from each evaluation area within a preset time period; wherein, an assessment area and a vehicle to be assessed correspond to a data quality index;
the extracting module 40 is configured to extract, based on a plurality of data quality indexes respectively corresponding to each evaluation area, at least one target vehicle whose data quality index does not meet a first preset requirement from all vehicles to be evaluated corresponding to each evaluation area;
and the first screening module 50 is used for screening out the target vehicles with repeated VIN codes from all the target vehicles and regarding the target vehicles as fault vehicles with poor vehicle network data transmission quality.
Preferably, the apparatus further comprises:
and a second screening module 70, configured to screen out, based on the rank ordering of the multiple data quality indicators corresponding to each evaluation area, at least one target area that meets a second preset requirement, and regard the target area as a weak area with poor data transmission quality.
Preferably, the preset type data is at least one of total mileage data uploaded by the vehicle under a driving condition and SOC data uploaded by the vehicle under a charging condition;
the determination module 30 includes:
the first determining unit is used for determining the data frame loss rate and the data delay rate of each vehicle to be evaluated in each evaluation area based on the total mileage data and the SOC data uploaded by each vehicle to be evaluated from each evaluation area within a preset time;
and the second determining unit is used for determining the data quality index of each vehicle to be evaluated in each evaluation area based on the data frame loss rate and the data delay rate of each vehicle to be evaluated in each evaluation area.
Preferably, the first determination unit includes:
the first determining subunit is configured to extract, based on total mileage data uploaded by each vehicle to be evaluated from each evaluation area within a predetermined time period, consecutive segments where the vehicle state is equal to 1 and the charging state is not equal to 1, and then perform, on the consecutive segments:
screening at least one group of abnormal total mileage data with total mileage jumping in two adjacent total mileage data, determining a total mileage jumping variable corresponding to each group of abnormal total mileage data, dividing the sum of all total mileage jumping variables by a preset vehicle speed, and dividing a data transmission period by the preset vehicle speed to serve as a first frame loss time; screening out all interval durations of two adjacent total mileage data exceeding the data transmission period, and using the ratio of the sum of all interval durations to the data transmission period as a second frame loss frequency;
the second determining subunit is used for extracting continuous segments of which the vehicle state is equal to 1 and the charging state is also equal to 1 according to the SOC data uploaded by each vehicle to be evaluated from each evaluation area within a preset time period, and then executing the following steps:
screening multiple groups of abnormal SOC data with SOC hopping in two adjacent SOC data, determining a current mean value and an SOC hopping variable corresponding to each group of abnormal SOC data, multiplying each SOC hopping quantity by the total battery quantity, dividing the sum of the plurality of SOC hopping quantities by the corresponding current mean value to obtain a plurality of missing charging durations, and taking the ratio of the sum of the plurality of missing charging durations to a data transmission cycle as a third frame dropping frequency;
and the third determining subunit is used for adding the third frame dropping time to the smaller value of the first frame dropping time and the second frame dropping time to obtain the total frame dropping time, and then taking the ratio of the total frame dropping time to the total times of all the total mileage data and all the SOC data received within the preset time as the data frame dropping rate of the vehicle to be evaluated in the evaluation area.
Preferably, the first determination unit further includes:
the fourth determining subunit is used for executing the following steps based on the total mileage data uploaded by each vehicle to be evaluated from each evaluation area within a preset time length: counting all abnormal total mileage data of which the difference between the data uploading time and the data receiving time of the total mileage data exceeds a preset time length to obtain a first delay time;
a fifth determining subunit, configured to, based on the SOC data uploaded by each vehicle to be evaluated from each evaluation area within a predetermined time period, perform: counting all abnormal SOC data of which the difference value between the data uploading time and the data receiving time of the SOC data exceeds a preset time length to obtain a second delay time;
and the sixth determining subunit is used for taking the ratio of the sum of the first delay times and the second delay times to the total times of all the total mileage data and all the SOC data received within the preset time as the data delay rate of the vehicle to be evaluated in the evaluation area.
Preferably, the second determination unit includes:
a seventh determining subunit, configured to, for each vehicle to be evaluated, perform:
and taking the sum of the product of the data frame loss rate of the vehicle to be evaluated in the evaluation area and the first preset weight and the product of the data delay rate of the vehicle to be evaluated in the evaluation area and the second preset weight as the data quality index of the vehicle to be evaluated in the evaluation area.
Preferably, the extraction module 40 comprises:
and the extraction subunit is used for respectively extracting at least one target vehicle with the data quality index sequence within the last n% range from all vehicles to be evaluated corresponding to each evaluation area based on the plurality of data quality indexes corresponding to each evaluation area, wherein n% is a predefined value.
Preferably, the second screening module 70 includes:
and the screening subunit is used for screening out at least one target area with the data quality index ranking within the m% range after the data quality index ranking is based on the high-low ranking of the plurality of data quality indexes respectively corresponding to the evaluation areas, wherein m% is a predefined value.
Preferably, the apparatus further comprises:
the first pushing module 60 is used for pushing prompt information for prompting a user that the vehicle internet of vehicles equipment is poor in transmission quality and needs to be maintained to a fault vehicle; and
and the second pushing module 80 is used for pushing prompt information which advises the user not to stop the vehicle in the weak area when any vehicle is detected to enter the weak area for parking.
The device of the present embodiment is a device content corresponding to the method one to one, and has the same technical effects as the method. The method comprises the steps that total mileage data and SOC data uploaded by vehicles to be evaluated in a plurality of evaluation areas in a certain time period are utilized to monitor data quality indexes of the vehicles to be evaluated, data transmission indexes of the vehicles to be evaluated in each evaluation area are compared, the part of the vehicles to be evaluated with poor data transmission indexes is selected as target vehicles, and the part of the target vehicles with the same VIN codes in the plurality of target vehicles is matched in a vehicle VIN code matching mode; and since the data quality indexes in the plurality of evaluation areas are poor, the data transmission quality of the Internet of vehicles equipment of the part of target vehicles is determined to be poor (namely, the target vehicles are failed), and the part of target vehicles are determined to be failed vehicles. After the fault car is identified, the user can be actively advised to maintain in a pushing mode, and after-sale maintenance and modification measures are promoted to be carried out. In addition, the evaluation areas with poor overall data transmission quality can be found by comparing the overall data quality indexes of the evaluation areas, and the evaluation areas are determined to be weak areas such as underground garages with insufficient area signal coverage, remote areas and the like; because the new energy vehicle can select charging with high probability when parking, and whether data are transmitted back during parking charging is directly related to the effectiveness of battery overheating monitoring and the timeliness of risk early warning, the charging is recommended to be fully necessary in a place with good signals, and then the user can be recommended to not stop the vehicle in the area in a pushing mode.
The invention also provides a control device, which comprises a processor, a memory and a program or an instruction stored on the memory and capable of running on the processor, wherein the program or the instruction is executed by the processor to realize the steps of the data transmission quality evaluation method of the internet of vehicles device.
The invention also provides a readable storage medium on which a program or instructions are stored, which program or instructions, when executed by a processor, implement the steps of the data transmission quality assessment method for the vehicle networking device as described above.
While the invention has been described in detail in connection with only a limited number of embodiments, it is not intended to be limited to the specific embodiments shown, and is intended to be exhaustive or otherwise limited to the invention in any suitable manner. Additional modifications, additions and substitutions will readily occur to those skilled in the art, and the invention should not be viewed as limited by the foregoing description, without departing from the general concept defined by the claims and their equivalents.
Claims (20)
1. A data transmission quality assessment method for vehicle networking equipment is characterized by comprising the following steps:
selecting at least two evaluation areas and all vehicles to be evaluated which pass through preset type data from each evaluation area within a preset time length; reading preset type data uploaded from each evaluation area by all vehicles to be evaluated within a preset time;
respectively determining the data quality index of each vehicle to be evaluated based on preset type data uploaded from each evaluation area by each vehicle to be evaluated within a preset time; wherein, an assessment area and a vehicle to be assessed correspond to a data quality index;
based on a plurality of data quality indexes respectively corresponding to each evaluation area, respectively extracting at least one target vehicle with the data quality index not meeting a first preset requirement from all vehicles to be evaluated corresponding to each evaluation area;
and screening out the target vehicles with repeated VIN codes from all the target vehicles, and regarding the target vehicles as fault vehicles with poor vehicle network data transmission quality.
2. The vehicle networking device data transmission quality assessment method according to claim 1, further comprising:
and screening out at least one target area meeting a second preset requirement based on the high-low sequence of the plurality of data quality indexes corresponding to each evaluation area respectively, and regarding the target area as a weak area with poor data transmission quality.
3. The data transmission quality evaluation method for the vehicle networking equipment according to claim 1, wherein the preset type data is at least one of total mileage data uploaded by the vehicle under a driving condition and SOC data uploaded by the vehicle under a charging condition;
the step of respectively determining the data quality index of each vehicle to be evaluated based on the preset type data uploaded by each vehicle to be evaluated from each evaluation area within the preset time comprises the following steps:
determining a data frame loss rate and a data delay rate of each vehicle to be evaluated in each evaluation area based on total mileage data and SOC data uploaded by each vehicle to be evaluated from each evaluation area within a preset time;
and determining the data quality index of each vehicle to be evaluated in each evaluation area based on the data frame loss rate and the data delay rate of each vehicle to be evaluated in each evaluation area.
4. The data transmission quality evaluation method for the vehicle networking equipment according to claim 3, wherein the step of determining the data frame loss rate of each vehicle to be evaluated in each evaluation area based on the total mileage data and the SOC data uploaded by each vehicle to be evaluated from each evaluation area within a predetermined time period comprises:
based on total mileage data uploaded by each vehicle to be evaluated from each evaluation area within a preset time, continuous segments with a vehicle state equal to 1 and a charging state not equal to 1 are extracted, and then the following steps are carried out:
screening out at least one group of abnormal total mileage data with total mileage jumping in two adjacent total mileage data, determining a total mileage jumping variable corresponding to each group of abnormal total mileage data, dividing the sum of all total mileage jumping variables by a preset vehicle speed, and dividing the sum of all total mileage jumping variables by a data transmission period to serve as a first frame loss frequency; screening out all interval durations of two adjacent total mileage data exceeding the data transmission period, and taking the ratio of the sum of all interval durations to the data transmission period as a second frame loss frequency;
on the basis of SOC data uploaded by each vehicle to be evaluated from each evaluation area within a preset time period, continuous segments of a vehicle state equal to 1 and a charging state equal to 1 are extracted, and then the following steps are performed:
screening multiple sets of abnormal SOC data with SOC hopping in two adjacent SOC data, determining a current mean value and an SOC hopping variable corresponding to each set of abnormal SOC data, multiplying the total battery amount by each SOC hopping amount, dividing the multiplied battery amount by the corresponding current mean value to obtain a plurality of missing charging time lengths, and taking the ratio of the sum of the missing charging time lengths to a data transmission period as a third frame dropping time;
and adding the third frame loss frequency to the smaller value of the first frame loss frequency and the second frame loss frequency to obtain the total frame loss frequency, and taking the ratio of the total frame loss frequency to the total frequency of all the total mileage data and all the SOC data received within a preset time length as the data frame loss rate of the vehicle to be evaluated in the evaluation area.
5. The data transmission quality evaluation method for the vehicle networking equipment according to claim 4, wherein the step of determining the data delay rate of each vehicle to be evaluated in each evaluation area based on the total mileage data and the SOC data uploaded by each vehicle to be evaluated from each evaluation area within a predetermined time period comprises:
based on the total mileage data uploaded by each vehicle to be evaluated from each evaluation area within a preset time, the following steps are executed: counting all abnormal total mileage data of which the difference between the data uploading time and the data receiving time of the total mileage data exceeds a preset time length to obtain a first delay time;
based on SOC data uploaded from each evaluation area by each vehicle to be evaluated within a preset time, executing the following steps: counting all abnormal SOC data of which the difference value between the data uploading time and the data receiving time of the SOC data exceeds a preset time length to obtain a second delay time;
and taking the ratio of the sum of the first delay times and the second delay times to the total times of all the total mileage data and all the SOC data received in a preset time period as the data delay rate of the vehicle to be evaluated in the evaluation area.
6. The data transmission quality assessment method for the vehicle networking equipment according to claim 3, 4 or 5, wherein the step of determining the data quality index of each vehicle to be assessed in each assessment area based on the data frame loss rate and the data delay rate of each vehicle to be assessed in each assessment area comprises:
for each vehicle to be evaluated, executing the following steps:
and taking the sum of the product of the data frame loss rate of the vehicle to be evaluated in the evaluation area and the first preset weight and the product of the data delay rate of the vehicle to be evaluated in the evaluation area and the second preset weight as the data quality index of the vehicle to be evaluated in the evaluation area.
7. The data transmission quality evaluation method for the vehicle networking equipment according to claim 1, wherein the step of respectively extracting at least one target vehicle with the data quality index not meeting a first preset requirement from all vehicles to be evaluated corresponding to each evaluation area based on a plurality of data quality indexes corresponding to each evaluation area respectively comprises the following steps of:
and respectively extracting at least one target vehicle with the data quality index sequence within the last n% range from all vehicles to be evaluated corresponding to each evaluation area based on the plurality of data quality indexes corresponding to each evaluation area, wherein n% is a predefined value.
8. The data transmission quality evaluation method for the vehicle networking equipment according to claim 2, wherein the step of screening out at least one target area meeting a second preset requirement based on the high-low ranking of the plurality of data quality indexes respectively corresponding to each evaluation area comprises:
and screening out at least one target area with the data quality index sequence within the range of m% later based on the high-low sequence of the plurality of data quality indexes corresponding to each evaluation area, wherein the m% is a predefined value.
9. The vehicle networking device data transmission quality assessment method according to claim 2, further comprising:
the method comprises the steps of pushing prompt information for prompting a user that the quality of vehicle networking equipment is poor and maintenance is required to be carried out to a fault vehicle; and
when any vehicle is detected to enter the weak area and stop, prompt information is pushed to suggest the user not to stop the vehicle in the weak area.
10. The utility model provides a car networking equipment data transmission quality evaluation device which characterized in that includes:
the selection module is used for selecting at least two evaluation areas and all vehicles to be evaluated which upload preset type data from each evaluation area within a preset time length;
the reading module is used for reading preset type data uploaded by all vehicles to be evaluated from each evaluation area within a preset time;
the determining module is used for respectively determining the data quality index of each vehicle to be evaluated based on preset type data uploaded by each vehicle to be evaluated from each evaluation area within a preset time; wherein, an assessment area and a vehicle to be assessed correspond to a data quality index;
the extraction module is used for respectively extracting at least one target vehicle of which the data quality index does not meet the first preset requirement from all vehicles to be evaluated corresponding to each evaluation area based on a plurality of data quality indexes corresponding to each evaluation area;
and the first screening module is used for screening out the target vehicles with the repeated VIN codes from all the target vehicles and regarding the target vehicles as fault vehicles with poor vehicle network data transmission quality.
11. The device for evaluating data transmission quality of internet of vehicles according to claim 10, further comprising:
and the second screening module is used for screening out at least one target area meeting a second preset requirement based on the high-low sequence of the plurality of data quality indexes corresponding to each evaluation area respectively, and regarding the target area as a weak area with poor data transmission quality.
12. The data transmission quality evaluation device of the vehicle networking equipment according to claim 10, wherein the preset type data is at least one of total mileage data uploaded by the vehicle under a driving condition and SOC data uploaded by the vehicle under a charging condition;
the determining module comprises:
the first determining unit is used for determining the data frame loss rate and the data delay rate of each vehicle to be evaluated in each evaluation area based on the total mileage data and the SOC data uploaded by each vehicle to be evaluated from each evaluation area within a preset time;
and the second determining unit is used for determining the data quality index of each vehicle to be evaluated in each evaluation area based on the data frame loss rate and the data delay rate of each vehicle to be evaluated in each evaluation area.
13. The data transmission quality evaluation device for the vehicle networking equipment according to claim 12, wherein the first determination unit comprises:
the first determining subunit is configured to extract, based on total mileage data uploaded by each vehicle to be evaluated from each evaluation area within a predetermined time period, consecutive segments where the vehicle state is equal to 1 and the charging state is not equal to 1, and then perform, on the consecutive segments:
screening out at least one group of abnormal total mileage data with total mileage jumping in two adjacent total mileage data, determining a total mileage jumping variable corresponding to each group of abnormal total mileage data, dividing the sum of all total mileage jumping variables by a preset vehicle speed, and dividing the sum of all total mileage jumping variables by a data transmission period to serve as a first frame loss frequency; screening out all interval durations of two adjacent total mileage data exceeding the data transmission period, and using the ratio of the sum of all interval durations to the data transmission period as a second frame loss frequency;
a second determining subunit, configured to, based on the SOC data uploaded by each vehicle to be evaluated from each evaluation area within a predetermined time period, extract consecutive segments when the vehicle state is equal to 1 and the state of charge is also equal to 1, and then perform, on the consecutive segments:
screening multiple groups of abnormal SOC data with SOC hopping in two adjacent SOC data, determining a current mean value and an SOC hopping variable corresponding to each group of abnormal SOC data, multiplying each SOC hopping quantity by the total battery quantity, dividing the sum of the plurality of SOC hopping quantities by the corresponding current mean value to obtain a plurality of missing charging durations, and taking the ratio of the sum of the plurality of missing charging durations to a data transmission cycle as a third frame dropping frequency;
and the third determining subunit is used for adding the third frame dropping time to the smaller value of the first frame dropping time and the second frame dropping time to obtain the total frame dropping time, and then taking the ratio of the total frame dropping time to the total times of all the total mileage data and all the SOC data received within the preset time as the data frame dropping rate of the vehicle to be evaluated in the evaluation area.
14. The vehicle networking device data transmission quality assessment apparatus according to claim 12, wherein said vehicle networking device data transmission quality assessment apparatus further comprises:
the fourth determining subunit is used for executing the following steps based on the total mileage data uploaded by each vehicle to be evaluated from each evaluation area within the preset time length: counting all abnormal total mileage data of which the difference value between the data uploading time and the data receiving time of the total mileage data exceeds a preset time length to obtain a first delay time;
a fifth determining subunit, configured to, based on the SOC data uploaded by each vehicle to be evaluated from each evaluation area within a predetermined time period, perform: counting all abnormal SOC data of which the difference value between the data uploading time and the data receiving time of the SOC data exceeds a preset time length to obtain a second delay time;
and the sixth determining subunit is used for taking the ratio of the sum of the first delay times and the second delay times to the total times of all the total mileage data and all the SOC data received within the preset time as the data delay rate of the vehicle to be evaluated in the evaluation area.
15. The internet-of-vehicle equipment data transmission quality evaluation device of claim 12, 13 or 14, wherein the second determination unit includes:
a seventh determining subunit, configured to, for each vehicle to be evaluated, perform:
and taking the sum of the product of the data frame loss rate of the vehicle to be evaluated in the evaluation area and the first preset weight and the product of the data delay rate of the vehicle to be evaluated in the evaluation area and the second preset weight as the data quality index of the vehicle to be evaluated in the evaluation area.
16. The data transmission quality assessment device for vehicle networking equipment according to claim 10, wherein the extraction module comprises:
and the extraction subunit is used for respectively extracting at least one target vehicle with the data quality index sequence within the last n% range from all vehicles to be evaluated corresponding to each evaluation area based on the plurality of data quality indexes corresponding to each evaluation area, wherein n% is a predefined value.
17. The vehicle networking device data transmission quality assessment apparatus according to claim 10, wherein the second screening module comprises:
and the screening subunit is used for screening at least one target area with the data quality index sequence within a rear m% range based on the high-low sequence of the plurality of data quality indexes respectively corresponding to the evaluation areas, wherein m% is a predefined value.
18. The device for evaluating data transmission quality of internet of vehicles according to claim 10, further comprising:
the first pushing module is used for pushing prompt information for prompting that the vehicle Internet of vehicles of the user are poor in transmission quality and need to be maintained to the fault vehicle; and
and the second pushing module is used for pushing prompt information which suggests that the user does not stop the vehicle in the weak area when detecting that any vehicle enters the weak area to stop.
19. A control device comprising a processor, a memory, and a program or instructions stored on the memory and executable on the processor, the program or instructions when executed by the processor implementing the steps of the vehicle networking device data transmission quality assessment method according to any one of claims 1 to 9.
20. A readable storage medium, characterized in that the readable storage medium stores thereon a program or instructions which, when executed by a processor, implement the steps of the vehicle networking device data transmission quality assessment method according to any one of claims 1 to 9.
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