CN111210537A - Oil consumption analysis method, device, equipment and storage medium - Google Patents
Oil consumption analysis method, device, equipment and storage medium Download PDFInfo
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- CN111210537A CN111210537A CN201910959601.8A CN201910959601A CN111210537A CN 111210537 A CN111210537 A CN 111210537A CN 201910959601 A CN201910959601 A CN 201910959601A CN 111210537 A CN111210537 A CN 111210537A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
Abstract
The embodiment of the invention discloses a method, a device, equipment and a storage medium for oil consumption analysis, wherein the method comprises the following steps: acquiring vehicle driving data; determining a first oil consumption analysis result according to the vehicle driving data; and sending the vehicle driving data and the first oil consumption analysis result to a cloud end, analyzing the vehicle driving data and the first oil consumption analysis result through the cloud end, and determining a second oil consumption analysis result. According to the embodiment of the invention, the vehicle-mounted terminal and the cloud end carry out fuel consumption analysis twice based on the vehicle driving data, and the vehicle driving data is data covering all users, so that the vehicle-mounted terminal has the advantages of large sample size, objectivity, accuracy and strong reference, the problem that the fuel consumption condition of a user group can only be described qualitatively and specific indexes cannot be quantized in the prior art is solved, the fuel consumption analysis scheme of the vehicle is optimized, the comprehensiveness and accuracy of the fuel consumption analysis are improved, and the vehicle-mounted terminal and the cloud end have the advantage of good portability and are convenient to popularize and apply.
Description
Technical Field
The embodiment of the invention relates to the technical field of data processing of internet of vehicles, in particular to a method, a device, equipment and a storage medium for oil consumption analysis.
Background
The oil consumption of the vehicle is a comprehensive technical index, and users and vehicle manufacturers generally pay more attention to the index. At present, the fuel consumption of a vehicle is judged by a user when the vehicle is purchased by using the integrated fuel consumption (L/100km) of the Ministry of industry and communications, and although the evaluation index has the power, the general acceptance of the user is not good.
Due to the influence of various factors, fuel consumption levels shown by different users driving vehicles may be different, and users often have transverse comparison requirements when using the vehicles, but in the prior art, due to limited comparison samples, the problem of large fuel consumption difference among individuals is difficult to avoid, and the current users are difficult to obtain authoritative fuel consumption level explanation and fuel consumption reduction strategies, which bring trouble to the users. Moreover, after the vehicle is put on the market, the vehicle manufacturer needs to obtain market feedback information according to the oil consumption level to promote product upgrading, for example, the problems of engine fuel injection amount calibration and the like under urban working conditions or mountain working conditions, but at present, the main information collection channel of the vehicle is a 4S store, user feedback or professional engineer test, the feedback period is long, and the requirement of the vehicle market with strong competition on shortening the product development period is difficult to meet. In summary, the fuel consumption analysis method in the prior art cannot meet the requirements of diversity, accuracy and comprehensiveness of users and vehicle manufacturers.
Disclosure of Invention
The embodiment of the invention provides a fuel consumption analysis method, a fuel consumption analysis device, fuel consumption analysis equipment and a storage medium, so as to optimize a fuel consumption analysis scheme of a vehicle and improve the comprehensiveness and accuracy of fuel consumption analysis.
In a first aspect, an embodiment of the present invention provides a fuel consumption analysis method, including:
acquiring vehicle driving data;
determining a first oil consumption analysis result according to the vehicle driving data;
and sending the vehicle running data and the first oil consumption analysis result to a cloud end, so that the vehicle running data and the first oil consumption analysis result are analyzed through the cloud end, and a second oil consumption analysis result is determined.
In a second aspect, an embodiment of the present invention further provides an oil consumption analysis apparatus, including:
the data acquisition module is used for acquiring vehicle running data;
the first oil consumption analysis module is used for determining a first oil consumption analysis result according to the vehicle running data;
the second oil consumption analysis module is used for sending the vehicle running data and the first oil consumption analysis result to a cloud end, so that the vehicle running data and the first oil consumption analysis result are analyzed through the cloud end, and a second oil consumption analysis result is determined.
Further, the first oil consumption analysis module is specifically configured to:
determining the driving mileage in the current travel according to an ignition switch signal and an engine state signal in the vehicle driving data;
determining the accumulated oil consumption in the current journey based on the instantaneous oil consumption, the bus time and the accumulated oil consumption formula at each moment in the current journey;
and determining the average oil consumption in the current journey according to the accumulated oil consumption and the bus time.
Further, the second oil consumption analysis module is specifically configured to:
and if the time interval between two adjacent strokes is determined to be smaller than or equal to a merging time threshold according to the ignition switch signal and the engine state signal in the vehicle running data, merging and calculating the two adjacent strokes through the cloud end to obtain a second oil consumption analysis result.
Further, the second fuel consumption analysis result includes at least one of the driving mileage, the accumulated fuel consumption, the average fuel consumption, the travel duration, the average vehicle speed, the average temperature, the grade proportion in the travel and the like in the target travel combined by the two adjacent travels.
Further, the apparatus further comprises:
the preprocessing module is used for sending the vehicle running data and the first oil consumption analysis result to a cloud end, and then preprocessing calculation is carried out on the vehicle running data and the first oil consumption analysis result through the cloud end, wherein the preprocessing calculation comprises at least one of missing value processing, noise data smoothing and outlier identification.
Further, the apparatus further comprises:
and the index determining module is used for determining a second oil consumption analysis result, and then determining an oil consumption judgment index according to the second oil consumption analysis result and the oil consumption evaluation requirement, wherein the oil consumption judgment index comprises a relation characteristic index of average oil consumption with a traffic condition, a total driving mileage, a weather environment, a road condition and a driving behavior.
Further, the apparatus further comprises:
the information display module is used for determining a second oil consumption analysis result, and then determining oil consumption display data of a vehicle user side and oil consumption display data of a vehicle manufacturer side according to the second oil consumption analysis result and oil consumption calculation requirements of a vehicle user and a vehicle manufacturer, wherein the oil consumption display data of the vehicle user side comprises at least one of user individual display data, group user display data and distribution data of individual users in group users, and the oil consumption display data of the vehicle manufacturer side comprises at least one of oil consumption evaluation data of the group users on a specific vehicle type, distribution data of individual vehicles in the whole body and historical oil consumption data of the individual vehicles.
In a third aspect, an embodiment of the present invention further provides an apparatus, where the apparatus includes:
one or more processors;
storage means for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the fuel consumption analysis method as described above.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the fuel consumption analysis method as described above.
According to the embodiment of the invention, the vehicle driving data are obtained, the first oil consumption analysis result is determined according to the vehicle driving data, the vehicle driving data and the first oil consumption analysis result are sent to the cloud end, the vehicle driving data and the first oil consumption analysis result are analyzed through the cloud end, and the second oil consumption analysis result is determined. According to the technical scheme of the embodiment of the invention, the vehicle-mounted terminal and the cloud end carry out fuel consumption analysis twice based on the vehicle driving data, and the vehicle driving data is data covering all users, so that the vehicle-mounted terminal has the advantages of large sample amount, objectivity, accuracy and strong reference, the problem that in the prior art, only qualitative description of fuel consumption conditions of a user group can not quantify specific indexes is solved, the fuel consumption analysis scheme of the vehicle is optimized, the comprehensiveness and accuracy of the fuel consumption analysis are improved, and the vehicle-mounted terminal has the advantage of good portability and is convenient to popularize and apply.
Drawings
Fig. 1 is a flowchart of a fuel consumption analysis method according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of an oil consumption analysis system according to a first embodiment of the present invention;
fig. 3 is a flowchart of a fuel consumption analysis method according to a second embodiment of the present invention;
fig. 4 is a schematic diagram illustrating a relationship between an average fuel consumption and an average vehicle speed according to a second embodiment of the present invention;
fig. 5 is a schematic diagram illustrating a relationship between an average fuel consumption and a total driving range according to a second embodiment of the present invention;
fig. 6 is a schematic diagram illustrating a relationship between an average fuel consumption and an ambient temperature according to a second embodiment of the present invention;
fig. 7 is a schematic diagram illustrating a relationship between an average fuel consumption and a climbing rate according to a second embodiment of the present invention;
fig. 8 is a schematic diagram illustrating a relationship between an average fuel consumption and a number of rapid accelerations according to a second embodiment of the present invention;
fig. 9 is a box diagram illustrating fuel consumption of a user according to a second embodiment of the present invention;
fig. 10 is a display histogram of fuel consumption of a user according to a second embodiment of the present invention;
fig. 11 is a schematic structural diagram of an oil consumption analysis apparatus according to a third embodiment of the present invention;
fig. 12 is a schematic structural diagram of an apparatus provided in the fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a fuel consumption analysis method according to an embodiment of the present invention, where the present embodiment is applicable to a situation of fuel consumption analysis of a vehicle, and the method may be executed by a fuel consumption analysis apparatus, where the apparatus may be implemented in a software and/or hardware manner, and the apparatus may be configured in a device, such as a server or a terminal device, where a typical terminal device includes a mobile terminal, specifically includes a mobile phone, a computer, or a tablet computer.
Fig. 2 is a schematic structural diagram of a fuel consumption analysis system according to a first embodiment of the present invention, where the fuel consumption analysis device in this embodiment may be configured in a vehicle end 11 (i.e., a vehicle) in the figure, and implement the fuel consumption analysis method by sending a communication command. In the figure, a vehicle-mounted intelligent terminal in a vehicle end 11 may acquire vehicle running data based on a vehicle Controller Area Network (CAN) bus, perform a first-level calculation based on the vehicle running data, where a calculation cycle may be on the order of bus milliseconds, and then upload a first oil consumption analysis result and positioning information acquired by a positioning module to a cloud end 12 through a communication module; the data uploaded by the vehicle end 11 in the cloud end 12 are stored in a storage server, and are subjected to second-stage calculation through data preprocessing, a calculation period can be in the second stage, a second oil consumption analysis result is obtained, display data are determined based on the second oil consumption analysis result, calculation logic can comprise vehicle user application calculation logic, vehicle manufacturer application calculation logic and the like according to application requirements, and the display data are sent to the client end 13 after being determined; the client 13 may obtain corresponding display data for terminals with different requirements, and the corresponding display data may be obtained for display by taking a vehicle user and a vehicle manufacturer as an example in the figure.
As shown in fig. 1, the method may specifically include:
and S110, acquiring vehicle running data.
The vehicle driving data is related data when the vehicle is driven, and the type and the number of the data included in the vehicle driving data can be set according to actual conditions. The vehicle driving data in this embodiment may include at least one of vehicle speed, driving mileage, ignition switch signal, engine status signal, engine speed, Global Positioning System (GPS) latitude and longitude information, GPS altitude information, instantaneous fuel consumption, and ambient temperature.
Specifically, referring to fig. 2, the vehicle-mounted intelligent terminal in the vehicle section 11 may acquire vehicle driving data of each component provided in the vehicle based on the CAN bus.
And S120, determining a first oil consumption analysis result according to the vehicle running data.
The first oil consumption analysis result is a result related to oil consumption obtained by analyzing the vehicle-mounted intelligent terminal in the vehicle for the vehicle driving data, and the first oil consumption analysis result in this embodiment may include at least one of data such as driving mileage, accumulated oil consumption, average oil consumption, and average vehicle speed.
Specifically, determining the first fuel consumption analysis result according to the vehicle driving data may include: determining the driving mileage in the current travel according to an ignition switch signal and an engine state signal in the vehicle driving data; determining the accumulated oil consumption in the current journey based on the instantaneous oil consumption, the bus time and the accumulated oil consumption formula at each moment in the current journey; and determining the average oil consumption in the current journey according to the accumulated oil consumption and the bus time.
The ignition of the engine can be used as the judgment basis for starting the travel in the driving travel, and the flameout of the engine is used as the judgment basis for ending the travel. Wherein need to stop to engine idling and open and reject the processing, can specifically be judged by the combination of ignition switch signal and the engine state signal among the vehicle data of traveling, and the judgement process can be: the starting time of the stroke is determined when the ignition switch is in an on (on) gear and the engine is in a running (running) state for the first time, and the ending time of the stroke is determined when the ignition switch is in an off (off) gear and the engine is in a stop (stop) state. The judging mode can avoid stroke judging errors caused by the fact that the actual stroke is not finished due to the stop state of the engine caused by idling stop when the engine state is simply judged. In the present embodiment, the engine stop state may be determined by the combination of the ignition switch signal and the engine speed signal, and when the engine speed is less than the idling speed.
The current trip mileage is determined by S, which is the mileage at the end of the trip — the mileage at the start of the trip, where S represents the current trip mileage. The driving range can also be determined by the formula S ═ Σ vdt, where dt denotes the bus time interval received by the communication module (TBox). The current travel-range accumulated oil consumption is determined by Fuel ═ Sigma finstdt, namely, an integral result of the bus time and the instantaneous oil consumption at each moment in the travel range, wherein Fuel represents the current travel-range accumulated oil consumption, and finst represents the instantaneous oil consumption at each moment in the current travel range. The average Fuel consumption in the current trip is determined by afe Fuel/S, where afe represents the average Fuel consumption in the current trip. Further, the current trip Duration is determined by Duration (t2-t1), t1, t2 being the trip start time and the trip end time, respectively, Duration representing the Duration within the current trip. The average vehicle speed in the current trip is determined by V _ avg ═ S/Duration, where V _ avg represents the average vehicle speed in the current trip.
S130, the vehicle driving data and the first oil consumption analysis result are sent to a cloud end, so that the vehicle driving data and the first oil consumption analysis result are analyzed through the cloud end, and a second oil consumption analysis result is determined.
The second oil consumption analysis result can be a result related to oil consumption, which is obtained by analyzing the vehicle driving data and the first oil consumption analysis result transmitted by the vehicle end by the cloud. The second fuel consumption analysis result in the present embodiment may include at least one of a mileage, an accumulated fuel consumption, an average fuel consumption, a trip duration, an average vehicle speed, an average temperature, and a slope proportion.
Specifically, the vehicle driving data and the first oil consumption analysis result are analyzed through the cloud, and the second oil consumption analysis result is determined, which may include: and if the time interval between the two adjacent strokes is determined to be smaller than or equal to the merging time threshold according to the ignition switch signal and the engine state signal in the vehicle running data, merging and calculating the two adjacent strokes through the cloud end to obtain a second oil consumption analysis result.
When a user frequently stops for a short time after the previous flameout in the driving process, the engine is started to continue driving, the temperature of the engine is higher at the moment, the oil consumption is lower than that of the situation that the engine is stopped and started for a long time, and if the condition that the engine is stopped and started for two times is not judged, the oil consumption level of each journey of the vehicle is greatly fluctuated. Therefore, in the embodiment, when the cloud end calculates the travel, whether the time interval between the driving travels of the two adjacent vehicle ends is smaller than or equal to the merging time threshold is judged, if so, the adjacent driving travels are merged into the primary travel for calculation, and if not, the secondary calculation is not performed. The merging time threshold may be set according to actual conditions, for example, the merging time threshold may be 10 minutes or 20 minutes.
The second fuel consumption analysis result may specifically include at least one of a driving mileage, an accumulated fuel consumption, an average fuel consumption, a travel duration, an average vehicle speed, an average temperature, a grade proportion in the travel, and the like in a target travel combined by two adjacent travels.
The Mileage in the target trip obtained by combining two adjacent trips can be determined by S1+ S2+. + Sn, where Sn represents the Mileage in the nth adjacent driving trip and Mileage represents the Mileage in the target trip. The cumulative FUEL consumption in the target trip is determined by FUEL1+ FUEL2+ … + FUEL, where FUEL represents the cumulative FUEL consumption in the target trip and FUEL represents the cumulative FUEL consumption in the nth adjacent driving trip. The average FUEL consumption in the target trip can be determined by AFE, which represents the average FUEL consumption in the target trip. The DURATION of the target trip may be determined by DURATION 1+ DURATION 2+ … DURATION N, which represents the DURATION within the target trip, and DURATION N represents the DURATION within the nth adjacent driving trip. The target intra-stroke average vehicle speed may be determined by SPD _ avg ═ Mileage/DURATION, where SPD _ avg represents the target intra-stroke average vehicle speed. The target intra-stroke average temperature is represented by T _ avg ═ avg (temp), where T _ avg denotes the target intra-stroke average temperature. The target intra-trip slope proportion is determined by slope ratio ═ Mileage _ slope/Mileage × 100%, wherein slope ratio represents the slope proportion in the target trip, Mileage _ slope represents the climbing Mileage, the climbing process is obtained according to the height comparison between ti +1 and ti, when height i +1> height i, the climbing process is considered as the climbing process, all climbing processes and the driving Mileage are identified, and Mileage _ slope ═ Σ ith climbing process driving Mileage.
Optionally, after the vehicle driving data and the first fuel consumption analysis result are sent to the cloud, the method may further include: and preprocessing calculation is carried out on the vehicle driving data and the first oil consumption analysis result through a cloud end, the preprocessing calculation comprises at least one of missing value processing, noise data smoothing and outlier identification, and outlier deletion can be carried out after the outlier identification. The cloud can combine heterogeneous data in multiple files or multiple databases through preprocessing, and then store the data in a consistent data warehouse.
According to the technical scheme, the vehicle driving data are obtained, the first oil consumption analysis result is determined according to the vehicle driving data, the vehicle driving data and the first oil consumption analysis result are sent to the cloud end, the vehicle driving data and the first oil consumption analysis result are analyzed through the cloud end, and the second oil consumption analysis result is determined. According to the technical scheme of the embodiment of the invention, the vehicle-mounted terminal and the cloud end carry out fuel consumption analysis twice based on the vehicle driving data, and the vehicle driving data is data covering all users, so that the vehicle-mounted terminal has the advantages of large sample amount, objectivity, accuracy and strong reference, the problem that in the prior art, only qualitative description of fuel consumption conditions of a user group can not quantify specific indexes is solved, the fuel consumption analysis scheme of the vehicle is optimized, the comprehensiveness and accuracy of the fuel consumption analysis are improved, and the vehicle-mounted terminal has the advantage of good portability and is convenient to popularize and apply.
Example two
Fig. 3 is a flowchart of a fuel consumption analysis method according to a second embodiment of the present invention. On the basis of the above embodiment, the fuel consumption analysis method is further optimized in the embodiment. Correspondingly, as shown in fig. 3, the method of the embodiment specifically includes:
and S210, acquiring vehicle running data.
And S220, determining a first oil consumption analysis result according to the vehicle running data.
Specifically, determining the first fuel consumption analysis result according to the vehicle driving data may include: determining the driving mileage in the current travel according to an ignition switch signal and an engine state signal in the vehicle driving data; determining the accumulated oil consumption in the current journey based on the instantaneous oil consumption, the bus time and the accumulated oil consumption formula at each moment in the current journey; and determining the average oil consumption in the current journey according to the accumulated oil consumption and the bus time.
S230, the vehicle driving data and the first oil consumption analysis result are sent to a cloud end, so that the vehicle driving data and the first oil consumption analysis result are analyzed through the cloud end, and a second oil consumption analysis result is determined.
Specifically, determining the first fuel consumption analysis result according to the vehicle driving data may include: determining the driving mileage in the current travel according to an ignition switch signal and an engine state signal in the vehicle driving data; determining the accumulated oil consumption in the current journey based on the instantaneous oil consumption, the bus time and the accumulated oil consumption formula at each moment in the current journey; and determining the average oil consumption in the current journey according to the accumulated oil consumption and the bus time.
After S230, S240 and/or S250 may be executed, and the specific execution order of S240 and S250 is not limited in this embodiment.
S240, determining the oil consumption evaluation index according to the second oil consumption analysis result and the oil consumption evaluation requirement.
The fuel consumption evaluation index in this embodiment may include characteristic indexes of relations between the average fuel consumption and the traffic condition, the total driving mileage, the weather environment, the road condition, and the driving behavior, respectively, that is, the fuel consumption evaluation index may include at least one of characteristic indexes of relations between the average fuel consumption and the traffic condition, characteristic indexes of relations between the average fuel consumption and the total driving mileage, characteristic indexes of relations between the average fuel consumption and the weather environment, characteristic indexes of relations between the average fuel consumption and the road condition, and characteristic indexes of relations between the average fuel consumption and the driving behavior.
Specifically, after the cloud obtains the second oil consumption analysis result, a plurality of different oil consumption evaluation indexes can be determined according to the oil consumption evaluation requirement. When the fuel consumption evaluation index is a characteristic index of relation between average fuel consumption and traffic conditions, that is, a characteristic index of relation between average fuel consumption and average vehicle speed, since the relation between vehicle fuel consumption and traffic environment is relatively large, generally, the fuel consumption of low-speed driving is generally higher than that of higher-speed driving, for example: the consumption of oil is obviously higher under the urban congestion working condition compared with the condition of an unblocked road. The average vehicle speed and the average fuel consumption in each travel calculated by the cloud are used for drawing the relative relation distribution of the average vehicle speed and the average fuel consumption of all vehicles in all travels, the specific drawing mode can be set according to the actual situation, for example, a curve is fitted by adopting a power approximation mode of a x b + c to represent the characteristic relation between the fuel consumption level and the vehicle speed level, a result curve can be drawn according to the average fuel consumption mode in a calculation interval of a divided speed interval to represent the characteristic relation between the fuel consumption level and the vehicle speed level, and the specific reference is shown in fig. 4, wherein fig. 4 is a schematic diagram of the relation between the average fuel consumption and the average vehicle speed provided in the second embodiment of the invention.
When the fuel consumption evaluation index is the relation characteristic index of the average fuel consumption and the total driving mileage, the relation between the fuel consumption and the total driving mileage presents a bathtub curve (the fuel consumption is higher at the tail end of the break-in period and the life cycle, and the fuel consumption of the middle mileage section is a normal level), so that the relation characteristic between the fuel consumption and the total driving mileage is described by dividing the total driving mileage into stages. The specific operation is as follows: a. the method comprises the steps of dividing a total driving mileage block section w 1E [0,500], a total driving mileage block section w 2E [ 500,1000], a total driving mileage block section w 3E [ 1000,2000], a total driving mileage block section … wn E [ 50000, and +/-infinity ] km, wherein the total mileage block section division can be configured according to actual conditions, b, calculating average oil consumption of all vehicles in each block section according to the division block section, c, drawing a fitting curve for describing the relation characteristic of the oil consumption and the total driving mileage, and specifically referring to fig. 5, wherein fig. 5 is a relation schematic diagram of the average oil consumption and the total driving mileage provided in the second embodiment of the invention.
When the oil consumption evaluation index is an average oil consumption and weather environment relation characteristic index, namely an average oil consumption and environment temperature relation characteristic index, because the oil consumption has large correlation with the environment temperature, when the environment temperature is low, the heat efficiency of an engine is reduced to increase the oil injection quantity, the heating demand of passengers is increased by extra energy consumption, and the oil consumption is also increased by factors such as wet and slippery road surface; the higher ambient temperature and the higher space-time modulation cold demand are the main factors which lead to the increase of the oil consumption. In order to describe the relationship between the oil consumption and the weather environment quantitatively, relevant data of different months in the same region (located to a city level or a smaller range according to the longitude and latitude of the GPS) are taken, the dimension of consideration of the environment temperature is increased, a characteristic relationship curve of average oil consumption average vehicle speed at each environment temperature is drawn, or a relationship curve of the environment temperature as a horizontal coordinate and the average oil consumption as a vertical coordinate is drawn, specifically refer to fig. 6, where fig. 6 is a schematic diagram of the relationship between the average oil consumption and the environment temperature provided in the second embodiment of the present invention.
When the fuel consumption evaluation index is a characteristic index of relation between the average fuel consumption and the road condition, that is, a characteristic index of relation between the average fuel consumption and the climbing rate, grouping the data of the climbing rate of the user, drawing a distribution characteristic of relation between the fuel consumption and the climbing rate, and fitting a relation curve, specifically referring to fig. 7, fig. 7 is a schematic diagram of relation between the average fuel consumption and the climbing rate provided in the second embodiment of the present invention.
When the fuel consumption evaluation index is an average fuel consumption and driving behavior relation characteristic index, that is, an average fuel consumption and rapid acceleration and rapid deceleration characteristic index, grouping the users according to driving behavior data, respectively drawing fuel consumption and hundred kilometers rapid acceleration and rapid deceleration times corresponding relation curves by taking the rapid acceleration and rapid deceleration times under a hundred kilometers driving condition as a grouping condition, and taking a fitting curve as a judgment basis, specifically referring to fig. 8, wherein fig. 8 is a schematic diagram of a relation between the average fuel consumption and the rapid acceleration times provided in the second embodiment of the present invention.
And S250, determining oil consumption display data of a vehicle user side and oil consumption display data of a vehicle manufacturer side according to the second oil consumption analysis result and the oil consumption calculation requirements of the vehicle user and the vehicle manufacturer.
The oil consumption display data at the vehicle manufacturer end comprises at least one of oil consumption evaluation data of group users on specific vehicle types, distribution data of individual vehicles in the whole and historical oil consumption data of the individual vehicles.
Specifically, after the cloud obtains the second oil consumption analysis result, the required oil consumption is calculated according to the oil consumption of different clients, and oil consumption display data corresponding to a plurality of different clients can be determined.
When the client 13 is a vehicle user side, the fuel consumption display data of the vehicle user side can be obtained based on the second fuel consumption analysis result obtained by the cloud, and the specific fuel consumption display data is visually displayed in an APP manner at the vehicle side and the mobile phone side for the user, wherein the display manner is not limited to numbers, curves, reports and the like. When the oil consumption display data of the vehicle user side is the individual display data of the user, the individual display data of the user includes, but is not limited to, calculation results of current total driving mileage, oil consumption under each journey, average vehicle speed, driving mileage, starting point and ending point of the journey, journey track, average environmental temperature in the journey, driving behavior data and the like, and different calculation cycles can be adopted during specific calculation, for example: days, weeks, months, etc. When the oil consumption display data of the vehicle user side is the group user display data, the group data of users in the same vehicle type can be displayed, for example: the data distribution situation is counted by drawing a box diagram and a histogram, and the statistical characteristics of the maximum value, the minimum value, the median, the upper quartile and the lower quartile of the data and the like are obtained, for example, the distribution characteristics of the average oil consumption of each journey within the range of [30km/h and 35km/h ] of the average vehicle speed. The comprehensive average oil consumption ranking condition of a single user in group users or the oil consumption ranking condition of the single user under the condition of certain oil consumption evaluation indexes (such as average vehicle speed, weather conditions and the like) is visually displayed in the forms of a histogram and a box diagram. Specifically referring to fig. 9 and 10, fig. 9 is a user oil consumption display box diagram provided in the second embodiment of the present invention, fig. 10 is a user oil consumption display histogram provided in the second embodiment of the present invention, fig. 9 shows an oil consumption level of a user at an average vehicle speed by using a box diagram as an example, an outlier in a data set, that is, an outlier, can be visually identified in the diagram, and a data dispersion degree and a deviation of the data set are determined by observing a length of the box, shapes of upper and lower compartments, and a length of a beard. And the group user display data includes, but is not limited to, the content of the oil consumption judgment index.
When the oil consumption display data of the vehicle user side is distribution data of individual users in group users, the calculation logic can determine whether the data are outliers through a box diagram, and sort the group data according to the size sequence to determine the positions of the individual data in the group data. The distribution data of the individual users in the group of users includes, but is not limited to, performing classification statistics according to geographical location information, and may also be classified according to mileage or average vehicle speed, for example: the ranking of the users across the country, province, city, etc. The distribution data of the individual users in the group users can also be displayed according to the content of the oil consumption judgment indexes, such as: when a certain user in a certain area is in the average vehicle speed interval of 30 +/-2 km/h, the average fuel consumption level of the user is in the level or percentage condition of all users in the speed interval.
In addition, a series of personalized services can be developed on the vehicle user side based on the distribution data of individual users in group users, such as: when the oil consumption level of a certain user is far higher than the average level of the group under the same technical condition and becomes an outlier, pushing personalized oil-saving reminding, strategy and other contents for the user according to the actual situation of the user.
When the client 13 is a vehicle manufacturer side, the fuel consumption display data of the vehicle manufacturer side includes at least one of fuel consumption evaluation data of group users for a specific vehicle type, distribution data of individual vehicles in the whole and historical fuel consumption data of the individual vehicles. When the fuel consumption display data at the vehicle manufacturer side is fuel consumption evaluation data of group users for a specific vehicle type, the distribution condition of indexes of the group users of the vehicle type in the fuel consumption comprehensive evaluation index system can be reflected according to regions and vehicle types divided by the GPS information, for example: the distribution of a certain index according to provinces and cities. When the fuel consumption display data of the vehicle manufacturer side is the distribution data of the individual vehicles in the whole, the level of any individual vehicle in the whole index distribution can be inquired according to the individual information. When the fuel consumption display data of the vehicle manufacturer side is the historical fuel consumption data of the individual vehicle, the historical travel information of any individual vehicle can be inquired according to the individual information, wherein the historical travel information includes but is not limited to historical driving track, travel time, fuel consumption, average speed and the like.
In addition, a vehicle manufacturer can also obtain a user ranking performed by a certain index according to the index distribution condition of the users of the whole group of the sold vehicle types so as to carry out various activities, such as: and (4) screening users with oil saving and highest driving mileage or users with safest driving in a certain area. The vehicle manufacturer end can also serve the vehicle manufacturer model iterative upgrade, optimization and other work based on the fuel consumption display data, develop the comparison of the vehicle model design fuel consumption and the user real fuel consumption level, and provide the manufacturer with the user fuel consumption identified by working conditions such as different areas, road conditions, traffic conditions and the like. Further, the vehicle manufacturer can also obtain the vehicle after-sale distribution situation according to the vehicle GPS information, such as the vehicle quantity situation in each province and city.
According to the embodiment of the invention, vehicle driving data are obtained, a first oil consumption analysis result is determined according to the vehicle driving data, the vehicle driving data and the first oil consumption analysis result are sent to a cloud end, the vehicle driving data and the first oil consumption analysis result are analyzed through the cloud end, and a second oil consumption analysis result is determined; and determining a fuel consumption evaluation index according to the second fuel consumption analysis result and the fuel consumption evaluation requirement, and/or determining fuel consumption display data of a vehicle user side and fuel consumption display data of a vehicle manufacturer side according to the second fuel consumption analysis result and the fuel consumption calculation requirements of the vehicle user and the vehicle manufacturer. According to the technical scheme of the embodiment of the invention, the vehicle-mounted terminal and the cloud end carry out fuel consumption analysis twice based on the vehicle running data, and the vehicle running data is data covering all users, so that the vehicle-mounted terminal has the advantages of large sample amount, objectivity, accuracy and strong reference, the problem that in the prior art, the fuel consumption condition of a user group can only be described qualitatively and specific indexes cannot be quantized is solved, the fuel consumption analysis scheme of the vehicle is optimized, the comprehensiveness and accuracy of the fuel consumption analysis are improved, and the vehicle-mounted terminal has the advantage of good portability and is convenient to popularize and apply; in addition, the embodiment of the invention can establish exclusive fuel consumption analysis for vehicle users, has rich dimensionality, strong guidance and good serviceability, can provide timely and accurate market feedback information for a vehicle factory, guides workers to perfect product design and promotes upgrading iteration.
EXAMPLE III
Fig. 11 is a schematic structural diagram of a fuel consumption analysis apparatus according to a third embodiment of the present invention, which can be applied to a fuel consumption analysis of a vehicle. The oil consumption analysis device provided by the embodiment of the invention can execute the oil consumption analysis method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
The device specifically includes a data acquisition module 310, a first oil consumption analysis module 320, and a second oil consumption analysis module 330, wherein:
a data acquisition module 310 for acquiring vehicle driving data;
the first oil consumption analysis module 320 is used for determining a first oil consumption analysis result according to the vehicle running data;
the second oil consumption analysis module 330 is configured to send the vehicle driving data and the first oil consumption analysis result to the cloud, so as to analyze the vehicle driving data and the first oil consumption analysis result through the cloud, and determine the second oil consumption analysis result.
According to the embodiment of the invention, the vehicle driving data are obtained, the first oil consumption analysis result is determined according to the vehicle driving data, the vehicle driving data and the first oil consumption analysis result are sent to the cloud end, the vehicle driving data and the first oil consumption analysis result are analyzed through the cloud end, and the second oil consumption analysis result is determined. According to the technical scheme of the embodiment of the invention, the vehicle-mounted terminal and the cloud end carry out fuel consumption analysis twice based on the vehicle driving data, and the vehicle driving data is data covering all users, so that the vehicle-mounted terminal has the advantages of large sample amount, objectivity, accuracy and strong reference, the problem that in the prior art, only qualitative description of fuel consumption conditions of a user group can not quantify specific indexes is solved, the fuel consumption analysis scheme of the vehicle is optimized, the comprehensiveness and accuracy of the fuel consumption analysis are improved, and the vehicle-mounted terminal has the advantage of good portability and is convenient to popularize and apply.
Further, the first oil consumption analysis module 320 is specifically configured to:
determining the driving mileage in the current travel according to an ignition switch signal and an engine state signal in the vehicle driving data;
determining the accumulated oil consumption in the current journey based on the instantaneous oil consumption, the bus time and the accumulated oil consumption formula at each moment in the current journey;
and determining the average oil consumption in the current journey according to the accumulated oil consumption and the bus time.
Further, the second oil consumption analysis module 330 is specifically configured to:
and if the time interval between the two adjacent strokes is determined to be smaller than or equal to the merging time threshold according to the ignition switch signal and the engine state signal in the vehicle running data, merging and calculating the two adjacent strokes through the cloud end to obtain a second oil consumption analysis result.
Further, the second fuel consumption analysis result comprises at least one of the running mileage, the accumulated fuel consumption, the average fuel consumption, the travel duration, the average vehicle speed, the average temperature, the slope proportion in the travel and the like in the target travel combined by two adjacent travels.
Further, the apparatus further comprises:
the preprocessing module is used for sending the vehicle driving data and the first oil consumption analysis result to a cloud end, and then preprocessing calculation is carried out on the vehicle driving data and the first oil consumption analysis result through the cloud end, wherein the preprocessing calculation comprises at least one of missing value processing, noise data smoothing and outlier identification.
Further, the apparatus further comprises:
and the index determining module is used for determining a second oil consumption analysis result, and then determining an oil consumption judgment index according to the second oil consumption analysis result and the oil consumption evaluation requirement, wherein the oil consumption judgment index comprises a relation characteristic index of average oil consumption with traffic conditions, total driving mileage, weather environment, road conditions and driving behaviors.
Further, the apparatus further comprises:
and the information display module is used for determining the second oil consumption analysis result, and then determining vehicle user side oil consumption display data and vehicle manufacturer side oil consumption display data according to the second oil consumption analysis result and the oil consumption calculation requirements of the vehicle users and the vehicle manufacturers, wherein the vehicle user side oil consumption display data comprises at least one of user individual display data, group user display data and distribution data of the individual users in the group users, and the vehicle manufacturer side oil consumption display data comprises at least one of oil consumption evaluation data of the group users on a specific vehicle type, distribution data of the individual vehicles in the whole body and individual vehicle historical data.
The oil consumption analysis device provided by the embodiment of the invention can execute the oil consumption analysis method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example four
Fig. 12 is a schematic structural diagram of an apparatus provided in the fourth embodiment of the present invention. FIG. 12 illustrates a block diagram of an exemplary device 412 suitable for use in implementing embodiments of the present invention. The device 412 shown in fig. 12 is only an example and should not impose any limitation on the functionality or scope of use of embodiments of the present invention.
As shown in fig. 12, the device 412 is in the form of a general purpose device. The components of device 412 may include, but are not limited to: one or more processors 416, a storage device 428, and a bus 418 that couples the various system components including the storage device 428 and the processors 416.
A program/utility 440 having a set (at least one) of program modules 442 may be stored, for instance, in storage 428, such program modules 442 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. The program modules 442 generally perform the functions and/or methodologies of the described embodiments of the invention.
The device 412 may also communicate with one or more external devices 414 (e.g., keyboard, pointing terminal, display 424, etc.), with one or more terminals that enable a user to interact with the device 412, and/or with any terminals (e.g., network card, modem, etc.) that enable the device 412 to communicate with one or more other computing terminals. Such communication may occur via input/output (I/O) interfaces 422. Further, the device 412 may also communicate with one or more networks (e.g., a Local Area Network (LAN), Wide Area Network (WAN), and/or a public Network, such as the internet) via the Network adapter 420. As shown in FIG. 12, network adapter 420 communicates with the other modules of device 412 via bus 418. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the device 412, including but not limited to: microcode, end drives, Redundant processors, external disk drive Arrays, RAID (Redundant Arrays of Independent Disks) systems, tape drives, and data backup storage systems, among others.
The processor 416 executes programs stored in the storage device 428 to execute various functional applications and data processing, for example, implement a fuel consumption analysis method provided by the embodiment of the present invention, the method includes:
acquiring vehicle driving data;
determining a first oil consumption analysis result according to the vehicle driving data;
and sending the vehicle driving data and the first oil consumption analysis result to a cloud end, analyzing the vehicle driving data and the first oil consumption analysis result through the cloud end, and determining a second oil consumption analysis result.
EXAMPLE five
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored thereon, and when the computer program is executed by a processor, the method for analyzing oil consumption provided in the embodiment of the present invention is implemented, where the method includes:
acquiring vehicle driving data;
determining a first oil consumption analysis result according to the vehicle driving data;
and sending the vehicle driving data and the first oil consumption analysis result to a cloud end, analyzing the vehicle driving data and the first oil consumption analysis result through the cloud end, and determining a second oil consumption analysis result.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or terminal. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A fuel consumption analysis method is characterized by comprising the following steps:
acquiring vehicle driving data;
determining a first oil consumption analysis result according to the vehicle driving data;
and sending the vehicle running data and the first oil consumption analysis result to a cloud end, so that the vehicle running data and the first oil consumption analysis result are analyzed through the cloud end, and a second oil consumption analysis result is determined.
2. The method of claim 1, wherein determining a first fuel consumption analysis result from the vehicle driving data comprises:
determining the driving mileage in the current travel according to an ignition switch signal and an engine state signal in the vehicle driving data;
determining the accumulated oil consumption in the current journey based on the instantaneous oil consumption, the bus time and the accumulated oil consumption formula at each moment in the current journey;
and determining the average oil consumption in the current journey according to the accumulated oil consumption and the bus time.
3. The method of claim 1, wherein analyzing the vehicle driving data and the first fuel consumption analysis result by the cloud end to determine a second fuel consumption analysis result comprises:
and if the time interval between two adjacent strokes is determined to be smaller than or equal to a merging time threshold according to the ignition switch signal and the engine state signal in the vehicle running data, merging and calculating the two adjacent strokes through the cloud end to obtain a second oil consumption analysis result.
4. The method of claim 3, wherein the second fuel consumption analysis result comprises at least one of a mileage, an accumulated fuel consumption, an average fuel consumption, a trip duration, an average vehicle speed, an average temperature, a trip slope proportion, and the like of a target trip combined by the two adjacent trips.
5. The method of claim 1, wherein after sending the vehicle driving data and the first fuel consumption analysis result to a cloud, further comprising:
and preprocessing calculation is carried out on the vehicle running data and the first oil consumption analysis result through the cloud end, wherein the preprocessing calculation comprises at least one of missing value processing, noise data smoothing and outlier identification.
6. The method of claim 1, wherein determining the second fuel consumption analysis further comprises:
and determining a fuel consumption evaluation index according to the second fuel consumption analysis result and the fuel consumption evaluation requirement, wherein the fuel consumption evaluation index comprises a relation characteristic index of average fuel consumption with traffic conditions, total driving mileage, weather environment, road conditions and driving behaviors.
7. The method of claim 1, wherein determining the second fuel consumption analysis further comprises:
and determining oil consumption display data of a vehicle user side and oil consumption display data of a vehicle manufacturer side according to the second oil consumption analysis result and oil consumption calculation requirements of the vehicle user and the vehicle manufacturer, wherein the oil consumption display data of the vehicle user side comprises at least one of user individual display data, group user display data and distribution data of individual users in group users, and the oil consumption display data of the vehicle manufacturer side comprises at least one of oil consumption evaluation data of the group users on specific vehicle types, distribution data of individual vehicles in the whole and individual vehicle historical oil consumption data.
8. A fuel consumption analysis device, comprising:
the data acquisition module is used for acquiring vehicle running data;
the first oil consumption analysis module is used for determining a first oil consumption analysis result according to the vehicle running data;
the second oil consumption analysis module is used for sending the vehicle running data and the first oil consumption analysis result to a cloud end, so that the vehicle running data and the first oil consumption analysis result are analyzed through the cloud end, and a second oil consumption analysis result is determined.
9. An apparatus, characterized in that the apparatus comprises:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the fuel consumption analysis method of any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out a fuel consumption analysis method according to any one of claims 1 to 7.
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