CN116013086B - Oiling method and system based on Internet of vehicles - Google Patents
Oiling method and system based on Internet of vehicles Download PDFInfo
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Abstract
The invention relates to the technical field of Internet of vehicles, and discloses an oiling method and system based on the Internet of vehicles, wherein the technical scheme is characterized by comprising the following steps: inquiring whether the vehicle running information exists in the internet of vehicles; if the vehicle running information exists, acquiring the vehicle running information; if the vehicle running information does not exist, calculating the similarity of the vehicles, and acquiring the running information of the vehicles with high similarity in the internet of vehicles; acquiring road network information based on a map road network to obtain various planning routes of the vehicle, and calculating oil consumption of the vehicle in different planning routes according to the driving information and the road network information; the method can accurately analyze the oil consumption aiming at various road conditions and loads, and can also provide a scheme for refueling a driver aiming at a vehicle.
Description
Technical Field
The invention relates to the field of Internet of vehicles, in particular to an oiling method and system based on the Internet of vehicles.
Background
In the prior art, a driver is usually reminded of very low vehicle oil level by means of an instrument panel, however, the oil consumption reading in the instrument panel of the vehicle is inaccurate, only a rough calculation value is needed, and various road conditions (expressways, urban expressways and urban roads) and the load conditions of the vehicle are not distinguished; therefore, for a cargo truck, the oil consumption is greatly different due to the road condition and load difference, so that the oil consumption data of an instrument panel cannot be accurately calculated; when the vehicle is refueled, no refueled proposal recommends service, and most drivers select a one-time filling mode; the way of filling oil once is adopted, so that a driver can stay at the oiling node for a long time, and can run under the condition that the oil tank is heavy, and the oil consumption of the vehicle is increased.
For example, chinese patent application No. 20110196233. X discloses a vehicle refueling reminding method based on path planning, comprising: acquiring a planned path of a vehicle, and obtaining the distance of the planned path; acquiring the oil consumption of the vehicle to obtain the required oil quantity of the planned path; and extracting the current oil quantity of the vehicle, comparing the required oil quantity with the current oil quantity, and carrying out oiling reminding on the vehicle when the current oil quantity is smaller than the required oil quantity. Although the judgment accuracy of vehicle refueling is improved, accurate oil consumption analysis is not carried out for various road conditions and loads, and a scheme of driver refueling is not provided for the vehicle.
Therefore, the invention provides a fueling method and a fueling system based on the Internet of vehicles, which improve the technical problems.
Disclosure of Invention
The invention aims to provide a fueling method and a fueling system based on the Internet of vehicles, which solve the technical problems that in the prior art, accurate fuel consumption analysis is not performed for various road conditions and loads, and a fueling scheme for a driver is not provided for a vehicle.
The technical aim of the invention is realized by the following technical scheme: a fueling method and system based on the Internet of vehicles comprises the following steps: inquiring whether the vehicle running information exists in the internet of vehicles;
if the vehicle running information exists, acquiring the vehicle running information;
if the vehicle running information does not exist, calculating the similarity of the vehicles, and acquiring the running information of the vehicles with high similarity in the internet of vehicles;
acquiring road network information based on a map road network to obtain various planning routes of the vehicle, and calculating oil consumption of the vehicle in different planning routes according to the driving information and the road network information;
and calculating the oiling amount and the oiling node on the selected planned route according to the oil consumption result.
As a preferable technical scheme of the invention, the driving information comprises time points, longitude and latitude coordinates, loading and oil level;
the road network information includes: common road section, city express road section, high-speed road section.
As a preferred technical scheme of the present invention, the process of obtaining a plurality of planned routes of the vehicle is as follows: and acquiring the current position and the destination of the vehicle, and carrying out various route planning according to the current position and the destination.
As a preferable technical scheme of the invention, the fuel consumption calculation process of the vehicle in different planned routes is as follows:
let the ton kilometer oil consumption of the vehicle in a single road section be M N M is then N The formula of (2) is: m is M N ＝L N ÷K N ÷G N ；
Setting the speed per hour of the vehicle on a single road section as S N S is then N The formula of (2) is: s is S N ＝K N ÷T N ；
Assuming that the average ton kilometer oil consumption of the vehicle in a single road section is m, the formula of m is: m= (M 1 +M 2 +…M N ）/N；
Let the average speed per hour of the vehicle in a single road section be s, then the formula of s is: s= (S) 1 +S 2 +…S N ）/N；
Wherein N represents the number of road segments; g represents the load capacity of the vehicle in each road segment,
the method comprises the steps of carrying out a first treatment on the surface of the K represents the mileage of the vehicle in each road section, < >>
The method comprises the steps of carrying out a first treatment on the surface of the T represents the elapsed time of the vehicle for each road segment,
the method comprises the steps of carrying out a first treatment on the surface of the L represents the fuel consumption of the vehicle in each road section, < >>
。
As a preferable technical scheme of the invention, the calculation process of the oil filling amount and the oil filling node on the selected planned route is as follows:
setting the driving mileage of the vehicle after four hours as
The fuel consumption is->
The method comprises the steps of carrying out a first treatment on the surface of the Then->
The formula of (2) is: />
=s/>
4；/>
The formula of (2) is: />
=/>
m/>
g；
If it is
Greater than the remaining mileage c of the current road segment, +.>
And->
Then->
The formula for recalculation is: />
=c+（4-c÷s）/>
；/>
The formula for recalculation is: />
= c/>
m/>
g +（4-c÷s）/>
g；
Wherein s represents the average speed per hour of the current road section; m represents the average ton kilometer oil consumption of the current road section; g represents the load capacity g of the vehicle at the current road section; c represents the remaining mileage of the current road section;
representing the average speed per hour of the next road segment; />
Representing the average ton kilometer oil consumption of the next road section;
setting the current residual oil quantity of the vehicle as z; if z < >
1.2, the driver is prompted to refuel, and the refuel amount is +.>
1.2-z; if z >)>
1.2, no fueling is currently required.
As a preferable embodiment of the present invention, the vehicle position is set as a traveling state
The position after kilometers is positioned, and the residual oil quantity is +.>
1.2-z；
If the vehicle position exceeds the remaining mileage c of the current road section, the refueling node and the refueling amount are not calculated any more; and if the vehicle position does not exceed the remaining mileage c of the current road section, calculating the next refueling node and the refueling amount.
As a preferred technical solution of the present invention, the similarity calculation process of the vehicle is as follows:
acquiring parameter text of the vehicle which does not exist in the internet of vehicles based on a sales network, wherein the parameter text comprises: brand, train, use, drive mode, maximum speed, total traction mass, service mass, total mass, engine model, displacement, fuel type.
As a preferable technical scheme of the invention, calculating a text frequency value S1 and an inverse text frequency value S2 of each feature in the parameter text vector;
the formula of S1 is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein n represents the number of times the feature word appears; n represents the sum of the number of occurrences of all features;
the formula of S2 is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein D is expressed as the total number of entries of the vehicle feature set; c is expressed as the number of entries containing the feature;
let the characteristic value of each characteristic be T, the formula of T is: t=s1
S2。
As a preferable technical scheme of the invention, the characteristic values are formed into a vector { T } 1 ,T 2 ,T 3 ,T 4 ,T 5 ,T 6 ……T N -the vehicle feature set contains a feature value vector { H } of connected vehicle networking vehicles 1 ,H 2 ,H 3 ,H 4 ,H 5 ,H 6 ……H N -a }; and calculating the vector in the characteristic value and the characteristic set vector as follows:
A fueling system based on the internet of vehicles comprising: the vehicle networking information acquisition module is used for inputting license plate number to inquire the driving information of vehicles in the vehicle networking within half a year;
the fuel consumption analysis module is used for carrying out fuel consumption analysis of various planned routes according to the driving information and the road network information;
the oiling planning module is used for calculating the oiling amount and the oiling node on the selected planning route according to the oil consumption analysis result;
and the vehicle similarity calculation module is used for calculating the similarity of the vehicles and matching the running information of the vehicles with high similarity in the Internet of vehicles.
In summary, the invention has the following beneficial effects:
firstly, the fuel consumption of the vehicle is greatly affected by the road type and the load condition, the invention calculates more accurate fuel consumption data of various roads in the vehicle in the recent period, takes the load condition into consideration, solves the problems that the current instrument panel reading does not distinguish the roads and does not consider the load, and realizes more accurate analysis and calculation of the fuel consumption of the freight vehicle.
Secondly, according to the oiling scheme, a mechanism of 4 hours to rest of the freight vehicle is considered, so that the oil quantity of the vehicle is maintained at a lower level; namely: 4 hours or 120% of the oil required for the journey to reach the next station; the residual oil quantity of the vehicle before refueling or resting is small, so that the loss caused by oil theft is reduced, the fuel utilization rate of the vehicle is improved, and the oil consumption is reduced.
Thirdly, the invention calculates the high-matching-degree high-similarity vehicles of the vehicles, further performs approximate calculation of the vehicles, solves the problem that analysis cannot be performed without data, realizes that work can be performed without data, and performs closer analysis and calculation.
Fourth, at present, the similarity matching of vehicles mainly adopts a rule matching mode, but the vehicles have quite many rules to be matched, and each rule needs to be matched once; when the vehicle base number is large, the method is very time-consuming, even if a plurality of vehicles can be selected by sun in the former rule, a large number of vehicles still need to be filtered in the next rule, and various information of the vehicles is difficult to comprehensively consider, and only rule by rule; the similarity calculation of the vectors is carried out in a machine learning mode, and the similarity calculation is carried out only once with each known vector, so that all information of the vehicle can be considered once, the vehicle is inspected comprehensively, the calculation times are small, and the analysis efficiency is improved.
Drawings
Fig. 1 is a schematic architecture diagram of an oiling system based on internet of vehicles according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a fueling method based on internet of vehicles according to an embodiment of the present application;
fig. 3 is a schematic diagram of the composition of eigenvalue forming vectors according to an embodiment of the present invention.
Description of the embodiments
The present invention will be described in further detail with reference to the accompanying drawings.
The invention provides a fueling method and a fueling system based on the Internet of vehicles, as shown in fig. 2, comprising the following steps:
s1, inquiring whether vehicle running information exists in the internet of vehicles;
s2, if the vehicle running information exists, acquiring the vehicle running information;
s3, road network information is acquired based on a map road network to obtain various planning routes of the vehicle, and oil consumption of the vehicle in different planning routes is calculated according to the running information and the road network information;
and S4, calculating the oiling amount and the oiling node on the selected planned route according to the oil consumption result.
Oiling system based on car networking, as shown in fig. 1, includes:
the vehicle networking information acquisition module is used for inputting license plate number to inquire the driving information of vehicles in the vehicle networking within half a year;
the fuel consumption analysis module is used for carrying out fuel consumption analysis of various planned routes according to the driving information and the road network information;
the oiling planning module is used for calculating the oiling amount and the oiling node on the selected planning route according to the oil consumption analysis result;
and the vehicle similarity calculation module is used for calculating the similarity of the vehicles and matching the running information of the vehicles with high similarity in the Internet of vehicles.
The specific process is as follows: the vehicle networking information acquisition module firstly inquires whether vehicle driving information exists in the vehicle networking through license plate numbers or vin codes, and if so, step S2 is carried out; if the vehicle is a new vehicle or the internet of vehicles of the operator is not accessed, no running information of the vehicle exists, and step S5 is performed.
The internet of vehicles information acquisition module reads vehicles for a period of time recently, such as: and driving information in half a year, wherein the driving information comprises time points, longitude and latitude coordinates, loading and oil level.
The fuel consumption analysis module is used for accurately analyzing the fuel consumption of the vehicle based on the vehicle running information; information matched based on road network information, namely: the road network information acquires the current position and the destination of the vehicle, performs various route planning according to the current position and the destination, is mainly divided into three categories of a common road section, a city expressway section and a high-speed road section, other categories can be increased as required, and the running information of each category of roads is calculated as follows (three categories of roads are calculated for three times):
let the ton kilometer oil consumption of the vehicle in a single road section be M N M is then N The formula of (2) is: m is M N ＝L N ÷K N ÷G N ；
Setting the speed per hour of the vehicle on a single road section as S N S is then N The formula of (2) is: s is S N ＝K N ÷T N ；
Assuming that the average ton kilometer oil consumption of the vehicle in a single road section is m, the formula of m is: m= (M 1 +M 2 +…M N ）/N；
Let the average speed per hour of the vehicle in a single road section be s, then the formula of s is: s= (S) 1 +S 2 +…S N ）/N；
Wherein N represents the number of road segments; g represents the load capacity of the vehicle in each road segment,
the method comprises the steps of carrying out a first treatment on the surface of the K represents the mileage of the vehicle in each road section, < >>
The method comprises the steps of carrying out a first treatment on the surface of the T represents the elapsed time of the vehicle for each road segment,
the method comprises the steps of carrying out a first treatment on the surface of the L represents the fuel consumption of the vehicle in each road section, < >>
。
The oiling planning module calculates the oiling amount and oiling nodes on the selected planning route according to the oil consumption analysis result, and specifically comprises the following steps: s41, a driver or a logistics transportation manager inputs a selected route and the carrying capacity g of the transportation;
s42, the oiling planning module firstly carries out road network matching of the route, acquires road network information according to a map road network, identifies which of the routes are common road sections, which of the routes are high-speed road sections and which of the routes are quick road sections, and calculates the total mileage c of various road sections;
s43, calculating the remaining mileage c of the current road section, c=the distance from the vehicle position to the ending point of such road section;
s44, setting the driving mileage of the vehicle after four hours as
The fuel consumption is->
The method comprises the steps of carrying out a first treatment on the surface of the Then->
The formula of (2) is: />
=s/>
4；/>
The formula of (2) is: />
=/>
m/>
g；
If it is
Greater than the remaining mileage c of the current road segment, +.>
And->
Then->
The formula for recalculation is: />
=c+（4-c÷s）/>
；/>
The formula for recalculation is: />
= c/>
m/>
g +（4-c÷s）/>
g；
Wherein s represents the average speed per hour of the current road section; m represents the average ton kilometer oil consumption of the current road section; g represents the load capacity g of the vehicle at the current road section; c represents the current road sectionRemaining mileage;
representing the average speed per hour of the next road segment; />
Representing the average ton kilometer oil consumption of the next road section;
s45, setting the current residual oil quantity of the vehicle as z; if z < >
1.2, the driver is prompted to refuel, and the refuel amount is +.>
1.2-z; and may recommend fueling nodes near the location of the vehicle (if on the highway, recommend rest areas near the current location; if on other roads, recommend nearby fueling stations);
if z >
1.2, no oiling is needed at present;
s46, setting the vehicle position to be running
The position after kilometers is positioned, and the residual oil quantity is +.>
1.2-z；
If the vehicle position exceeds the remaining mileage c of the current road section, the refueling node and the refueling amount are not calculated any more; if the vehicle position does not exceed the remaining mileage c of the current road section, calculating the next refueling node and the refueling amount, namely: and repeating the steps S43 to S46, so that the refueling nodes on the selected line and the refueling amount of each node can be calculated.
And S5, if the vehicle running information does not exist, calculating the similarity of the vehicles, and then acquiring the running information of the vehicles with high similarity in the Internet of vehicles.
The specific process is as follows: when the vehicle networking running information of the vehicle does not exist, the calculation of S3 and S4 cannot be performed; therefore, the fuel consumption estimation and the fueling scheme generation of the vehicle are realized through the running information of the vehicles with high similarity in the internet of vehicles. The traditional method is mainly based on a rule matching mode to perform similarity matching of vehicles, such as whether brands are consistent, engine models are consistent, engine parameters are close, years are close, vehicle types are the same, maximum loads are consistent, and the like, and progressive comparison is needed.
Examples: s51, acquiring information of a vehicle platform, a type and the like through a mode of driver input in advance or a mode of vehicle license inquiry through license plate numbers or vin codes, and further acquiring complete parameter texts of the vehicle through a sales website and the like, wherein the specific examples are as follows:
brand: a vehicle system: liberation J7, use: tractor, driving mode: 6×4, maximum vehicle speed: 120km/h, total traction mass: 40000kg, quality of preparation: 8805kg, total mass: 25000kg, engine model: tin firewood CA6DM3-50E5, engine form: in-line six cylinders, maximum power: 370Kw, maximum power rotation speed: 1800rpm, maximum torque: 2500n.m, maximum torque speed: 1000-1400rpm, maximum horsepower: 500 horsepower, displacement: 12520mL, type of fuel: diesel fuel, emission standard: five countries, 6 years.
S52, word segmentation is carried out on the vehicle, text features are extracted to form a feature set, features are extracted in a binary phrase mode, and the feature set is formed: the brand one-vehicle release J7, the application tractor, the driving mode is 6 multiplied by 4, the highest speed is 120km/h, the total traction mass is 40000kg, the preparation mass is 8805kg, the total mass is 25000kg, the engine model tin firewood CA6DM3-50E5, the engine form is six cylinders in series, the maximum power is 370Kw, the maximum power rotating speed is 1800rpm, the maximum torque is 2500N.m, the maximum torque rotating speed is 1000-1400rpm, the maximum horsepower is 500 horsepower, the displacement is 12520mL, the fuel type diesel oil is discharged from the standard state five, and the year is 6. This represents a text vector, each feature being separated by commas.
And S53, calculating a text frequency value S1 and an inverse text frequency value S2 of each feature in the text vector. S1 is multiplied by S2, i.e. the feature value T of each feature, t=s1×s2.
The calculation method of S1 is as follows: the frequency of occurrence of the characteristic words in a vehicle characteristic set (the vehicle characteristic set is formed by a certain number of selected vehicle networking platforms which are connected to vehicles, and each vehicle is a text vector and a characteristic value vector of the vehicle), namely the frequency N of occurrence of the characteristic words is divided by the frequency sum N of occurrence of all the characteristics; the formula is as follows:
the calculation method of S2 is as follows: dividing the total item number D of the vehicle feature set by the item number C containing the feature, and taking the obtained quotient as a logarithm based on 10; the formula is as follows:
s53, as shown in FIG. 3, the eigenvalues are formed into a vector { T ] 1 ,T 2 ,T 3 ,T 4 ,T 5 ,T 6 ……T N -a }; the vehicle feature set comprises feature value vectors of vehicles connected with the internet of vehicles, the vectors formed by the feature values and the feature set vectors are calculated as follows, and the vehicle with the minimum calculated value d is selected, namely the vehicle with the highest comprehensive matching degree; { H 1 ,H 2 ,H 3 ,H 4 ,H 5 ,H 6 ……H N -feature vectors of known vehicles in a feature set of vehicles; the formula is as follows:
and S54, calculating the S3 and the S4 through the vehicle networking running information of the vehicle with the highest matching degree, and generating the oiling scheme of the vehicle.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to the present invention may occur to one skilled in the art without departing from the principles of the present invention and are intended to be within the scope of the present invention.
Claims (7)
1. The oiling method based on the Internet of vehicles is characterized by comprising the following steps of:
inquiring whether the vehicle running information exists in the internet of vehicles;
if the vehicle running information exists, acquiring the vehicle running information;
if the vehicle running information does not exist, calculating the similarity of the vehicles, and acquiring the running information of the vehicles with high similarity in the internet of vehicles;
acquiring road network information based on a map road network to obtain various planning routes of the vehicle, and calculating oil consumption of the vehicle in different planning routes according to the driving information and the road network information;
calculating the oil filling amount and the oil filling node on the selected planned route according to the oil consumption result;
the similarity calculation process of the vehicle comprises the following steps: acquiring parameter text of the vehicle which does not exist in the internet of vehicles based on a sales network, wherein the parameter text comprises: brand, train, use, driving mode, maximum vehicle speed, total traction mass, preparation mass, total mass, engine model, displacement, fuel type;
calculating a text frequency value S1 and an inverse text frequency value S2 of each feature in the parameter text vector;
the formula of S1 is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein n represents the number of times the feature word appears; n represents the sum of the number of occurrences of all features;
the formula of S2 is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein D is expressed as the total number of entries of the vehicle feature set; c is expressed as the number of entries containing the feature;
let the characteristic value of each characteristic be T, the formula of T is:
；
forming the eigenvalues into a vector { T ] 1 ,T 2 ,T 3 ,T 4 ,T 5 ,T 6 ……T N -the vehicle feature set contains a feature value vector { H } of connected vehicle networking vehicles 1 ,H 2 ,H 3 ,H 4 ,H 5 ,H 6 ……H N -a }; and calculating the vector in the characteristic value and the characteristic set vector as follows:
wherein, the minimum value of d is the vehicle with highest similarity.
2. The oiling method based on the internet of vehicles according to claim 1, wherein the oiling method comprises the following steps: the driving information comprises a time point, longitude and latitude coordinates, a load and an oil level;
the road network information includes: common road section, city express road section, high-speed road section.
3. The oiling method based on the internet of vehicles according to claim 1, wherein the oiling method comprises the following steps: the process of obtaining the various planned routes of the vehicle comprises the following steps: and acquiring the current position and the destination of the vehicle, and carrying out various route planning according to the current position and the destination.
4. The oiling method based on the internet of vehicles according to claim 1, wherein the oiling method comprises the following steps: the oil consumption calculation process of the vehicle in different planning routes is as follows:
let the ton kilometer oil consumption of the vehicle in a single road section be M N M is then N The formula of (2) is: m is M N ＝L N ÷K N ÷G N ；
Setting the speed per hour of the vehicle on a single road section as S N S is then N The formula of (2) is: s is S N ＝K N ÷T N ；
Assuming that the average ton kilometer oil consumption of the vehicle in a single road section is m, the formula of m is: m= (M 1 +M 2 +…M N ）/N；
Let the average speed per hour of the vehicle in a single road section be s, then the formula of s is: s= (S) 1 +S 2 +…S N ）/N；
Wherein N represents the number of road segments; g represents the load capacity of the vehicle in each road segment,
the method comprises the steps of carrying out a first treatment on the surface of the K represents the mileage of the vehicle in each road section, < >>
The method comprises the steps of carrying out a first treatment on the surface of the T represents the time consumption of said vehicle for each road section, < >>
The method comprises the steps of carrying out a first treatment on the surface of the L represents the fuel consumption of the vehicle in each road section, < >>
。
5. The oiling method based on the internet of vehicles according to claim 1 or 4, wherein the oiling method comprises the following steps: the calculation process of the oil filling amount and the oil filling node on the selected planning route is as follows:
setting the driving mileage of the vehicle after four hours as
The fuel consumption is->
The method comprises the steps of carrying out a first treatment on the surface of the Then->
The formula of (2) is: />
；/>
The formula of (2) is: />
；
If it is
Greater than the remaining mileage c of the current road segment, +.>
And->
Then->
The formula for recalculation is:
the method comprises the steps of carrying out a first treatment on the surface of the Recalculating->
The formula of (2) is: />
；
Wherein s represents the average speed per hour of the current road section; m represents the average ton of the current road sectionKilometer oil consumption; g represents the load capacity g of the vehicle at the current road section; c represents the remaining mileage of the current road section;
representing the average speed per hour of the next road segment; />
Representing the average ton kilometer oil consumption of the next road section;
setting the current residual oil quantity of the vehicle as z; if it is
Prompting the driver to refuel, wherein the refuel amount is +.>
The method comprises the steps of carrying out a first treatment on the surface of the If it is
There is currently no need to refuel.
6. The oiling method based on the internet of vehicles according to claim 5, wherein the oiling method comprises the following steps: setting the vehicle position to travel
The position after kilometers is positioned, and the residual oil quantity is +.>
；
If the vehicle position exceeds the remaining mileage c of the current road section, the refueling node and the refueling amount are not calculated any more; and if the vehicle position does not exceed the remaining mileage c of the current road section, calculating the next refueling node and the refueling amount.
7. An internet of vehicles-based fueling system comprising:
the vehicle networking information acquisition module is used for inputting license plate number to inquire the driving information of vehicles in the vehicle networking within half a year;
the fuel consumption analysis module is used for carrying out fuel consumption analysis of various planned routes according to the driving information and the road network information;
the oiling planning module is used for calculating the oiling amount and the oiling node on the selected planning route according to the oil consumption analysis result;
the vehicle similarity calculation module is used for calculating the similarity of vehicles and matching the running information of vehicles with high similarity in the internet of vehicles;
the similarity calculation process of the vehicle comprises the following steps: acquiring parameter text of the vehicle which does not exist in the internet of vehicles based on a sales network, wherein the parameter text comprises: brand, train, use, driving mode, maximum vehicle speed, total traction mass, preparation mass, total mass, engine model, displacement, fuel type;
calculating a text frequency value S1 and an inverse text frequency value S2 of each feature in the parameter text vector;
the formula of S1 is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein n represents the number of times the feature word appears; n represents the sum of the number of occurrences of all features;
the formula of S2 is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein D is expressed as the total number of entries of the vehicle feature set; c is expressed as the number of entries containing the feature;
let the characteristic value of each characteristic be T, the formula of T is:
；
forming the eigenvalues into a vector { T ] 1 ,T 2 ,T 3 ,T 4 ,T 5 ,T 6 ……T N -the vehicle feature set contains a feature value vector { H } of connected vehicle networking vehicles 1 ,H 2 ,H 3 ,H 4 ,H 5 ,H 6 ……H N -a }; and calculating the vector in the characteristic value and the characteristic set vector as follows:
wherein, the minimum value of d is the vehicle with highest similarity.
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| JP4332790B2 (en) * | 2004-01-22 | 2009-09-16 | 株式会社デンソー | Optimal lubrication guide system |
| CN107228679A (en) * | 2016-03-25 | 2017-10-03 | 惠州华阳通用电子有限公司 | A kind of low oil mass based reminding method of automobile based on road conditions and device |
| CN110736473A (en) * | 2018-07-18 | 2020-01-31 | 阿里巴巴集团控股有限公司 | Method, device, equipment and storage medium for driving planning and motorcade building |
| CN109686118A (en) * | 2019-01-24 | 2019-04-26 | 嘉兴行适安车联网信息科技有限公司 | A kind of economic control loop and its drive manner based on the collaboration of people's bus or train route |
| CN114281086A (en) * | 2021-12-29 | 2022-04-05 | 中寰卫星导航通信有限公司 | Method, system, platform, medium and equipment for planning commercial vehicle path |
| CN115587678A (en) * | 2022-08-30 | 2023-01-10 | 湖南行必达网联科技有限公司 | Intelligent map traveling method and system for commercial vehicle |
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