CN111127696A - Data processing method and device - Google Patents
Data processing method and device Download PDFInfo
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- CN111127696A CN111127696A CN201811269739.7A CN201811269739A CN111127696A CN 111127696 A CN111127696 A CN 111127696A CN 201811269739 A CN201811269739 A CN 201811269739A CN 111127696 A CN111127696 A CN 111127696A
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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
- G07C5/02—Registering or indicating driving, working, idle, or waiting time only
- G07C5/06—Registering or indicating driving, working, idle, or waiting time only in graphical form
Abstract
The application discloses a data processing method and a data processing device, which belong to the technical field of vehicle running conditions. The automatic identification and judgment of the circulation of the running working condition of the vehicle is realized, the labor cost is saved compared with the traditional manual judgment and circulation mode, the data processing time is shortened, and the engineering development efficiency is further improved.
Description
Technical Field
The invention relates to the technical field of vehicle running conditions, in particular to a data processing method and device.
Background
The driving condition of the vehicle, also called as the running cycle of the automobile, is a speed-time curve used for describing the driving characteristics of the vehicle under a specific traffic environment, such as an expressway and an urban road environment, aiming at a certain type of vehicles, such as passenger cars, buses, heavy vehicles and the like. The determination of the vehicle running condition refers to the investigation of the actual running condition of the vehicle, the analysis of the actual test data and the quantitative description of the typical road vehicle running condition established by using a relevant mathematical theory method. The main purposes of the driving conditions of the vehicle are to determine the pollutant emission and fuel consumption of the vehicle, to develop and evaluate the technology of a new vehicle type, to determine the risk in traffic control, and the like, and the driving conditions of the vehicle are a common core technology in the automobile industry.
At present, when the start and the end of a plurality of cycles of test data of the running working condition of a vehicle are judged, manual judgment is adopted, and judgment is carried out according to the standard working condition by naked eyes according to experience.
Disclosure of Invention
In view of the above, the present invention provides a data processing method and apparatus, which are intended to automatically identify the start and end of a loop, so as to achieve the purposes of reducing data processing time, saving labor cost, and improving engineering development efficiency.
In order to achieve the above object, the following solutions are proposed:
a method of data processing, comprising:
acquiring test data of a vehicle running condition, wherein the test data comprises a corresponding relation between time and speed;
analyzing the test data according to the speed curve characteristics before the cycle end point under the standard working condition to obtain the end point of each cycle;
and marking the obtained end points of each cycle with sequences in sequence.
Optionally, analyzing the test data according to a speed curve characteristic before the cycle end point under the standard working condition to obtain the end point of each cycle, including:
sequentially judging whether the speed in the test data is greater than a first speed threshold value or not according to the time sequence, and if so, judging whether the speed at the next moment is greater than the speed at the current moment or not;
if the speed at the next moment is greater than the speed at the current moment, sequentially judging whether the subsequent speeds are zero or not according to the time sequence, and if so, determining that the current moment is an identification point;
and determining that the time after the first time period passes by taking the identification point as a starting point is the end point of the current cycle.
Optionally, analyzing the test data according to a speed curve characteristic before the cycle end point under the standard working condition to obtain the end point of each cycle, including:
sequentially judging whether the speed in the test data is greater than a second speed threshold value or not according to the time sequence, and if so, judging whether the speed at the next moment is less than the speed at the current moment or not;
if the speed at the next moment is less than the speed at the current moment, sequentially judging whether the subsequent speeds are zero or not according to the time sequence, and if so, determining that the current moment is an identification point;
and determining that the time after the first time period passes by taking the identification point as a starting point is the end point of the current cycle.
Optionally, analyzing the test data according to a speed curve characteristic before the cycle end point under the standard working condition to obtain the end point of each cycle, including:
sequentially judging whether the speed in the test data is zero or not according to the time sequence, and if so, recording the duration time of the speed being zero;
and when the duration is greater than a time threshold, determining that the current moment is the end point of the current cycle.
Optionally, after the test data of the vehicle driving condition is obtained, the method further includes:
marking the starting point and the end point of the test data.
A data processing apparatus comprising:
the data acquisition unit is used for acquiring test data of the running condition of the vehicle, wherein the test data comprises a corresponding relation between time and speed;
the circulation end point determining unit is used for analyzing the test data according to the speed curve characteristics before the circulation end point under the standard working condition to obtain the end point of each circulation;
and the circulation end point marking unit is used for marking the obtained end points of each circulation with a sequence in sequence.
Optionally, the cycle end point determining unit includes:
the first characteristic judgment subunit is used for sequentially judging whether the speed in the test data is greater than a first speed threshold value according to a time sequence, and if so, judging whether the speed at the next moment is greater than the speed at the current moment;
the second characteristic judgment subunit is used for sequentially judging whether the subsequent speed is zero or not according to the time sequence if the speed at the next moment is greater than the speed at the current moment, and if so, determining that the current moment is the identification point;
and the cycle end point determining subunit is used for determining that the time when the first time period passes by taking the identification point as a starting point is an end point of one cycle.
Optionally, the cycle end point determining unit includes:
a third characteristic judgment subunit, configured to sequentially judge, according to a time sequence, whether a speed in the test data is greater than a second speed threshold, and if so, judge whether a speed at a next time is less than a speed at a current time;
a fourth characteristic judgment subunit, configured to, if the speed at the next time is less than the speed at the current time, sequentially judge, according to a time sequence, whether subsequent speeds are zero, and if yes, determine that the current time is the identification point;
and the cycle end point determining subunit is used for determining that the time when the first time period passes by taking the identification point as a starting point is an end point of one cycle.
Optionally, the cycle end point determining unit includes:
a fifth characteristic judgment subunit, configured to sequentially judge, according to a time sequence, whether the speed in the test data is zero, and if yes, record a duration time for which the speed is zero;
and the cycle end point determining subunit is used for determining that the current time is the end point of one cycle when the duration is greater than the time threshold.
Optionally, the data processing apparatus further includes:
and the end point data marking unit is used for marking the starting point and the end point of the test data.
Compared with the prior art, the technical scheme of the invention has the following advantages:
according to the data processing method provided by the technical scheme, the computer automatically analyzes the acquired test data according to the speed curve characteristics before the cycle end point under the standard working condition to obtain the end point of each cycle, and the obtained end points of each cycle are sequentially labeled with sequences, wherein the end point of one cycle is simultaneously the starting point of the next cycle. The invention realizes the circulation of automatically identifying and judging the running condition of the vehicle, saves the labor cost and reduces the data processing time compared with the traditional mode of manually judging the circulation, thereby improving the engineering development efficiency.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a data processing method according to an embodiment of the present invention;
FIG. 2 is a velocity profile under a standard operating condition;
fig. 3 is a flowchart of a method for identifying a loop end point according to an embodiment of the present invention;
FIG. 4 is a graphical representation of data for one cycle of test data provided by an embodiment of the present invention;
FIG. 5 is a flowchart of another method for identifying loop ending points according to an embodiment of the present invention;
FIG. 6 is a flowchart of another method for identifying loop ending points according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a logic structure of a data processing apparatus according to an embodiment of the present invention;
fig. 8 is a schematic diagram of a logic structure of a cycle end point determining unit according to an embodiment of the present invention;
fig. 9 is a schematic diagram of a logic structure of another loop end point determining unit according to an embodiment of the present invention;
fig. 10 is a schematic logic structure diagram of another cycle end point determining unit according to an embodiment of the present invention.
Detailed Description
The core idea of the invention is that a program algorithm is executed by a computer, and the end point of the cycle of the vehicle running condition is automatically identified and judged according to the data characteristics under the standard working condition.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The present embodiment provides a data processing method, as shown in fig. 1, the method including the steps of:
s11: and acquiring test data of the running condition of the vehicle.
The test data includes a correspondence of time to speed. The speed may be, but is not limited to, vehicle speed, the speed of the test device, or the rotational speed of the vehicle powertrain. The shape of the time-dependent curves of the vehicle speed, the speed of the test device and the rotational speed of the vehicle drive train is the same, only the absolute values of the coordinates differ, as in two circles of different radii, only the radii differ and the shape is the same. The experimental equipment is a chassis dynamometer. The rotational speed of the vehicle powertrain refers to the rotational speed on the vehicle driveline, e.g., the engine crankshaft speed, the transmission output shaft speed, or the rotational speed of the drive axle shaft, etc.
S12: and analyzing the acquired test data according to the speed curve characteristics before the cycle end point under the standard working condition to obtain the end point of each cycle.
And acquiring data of a standard working condition in advance, determining the characteristics of a speed curve before the end point of the cycle by taking the abscissa as time and the ordinate as speed, and analyzing the acquired test data to obtain the end point of each cycle.
S13: and marking the obtained end points of each cycle with sequences in sequence.
The acquired test data are data of a plurality of cycles, and each cycle is marked in sequence, so that the energy consumption and other calculations of a subsequent single cycle are facilitated. For example, 1, 2, and 3 … … are labeled in order for the end point of each cycle. Further, the starting point and the ending point of the test data, i.e. both end points of the test data, may also be marked. The end point of the test data may be the end point of the last cycle, i.e. the test ends at the same time as the last cycle ends; the end point of the trial data may not be the end point of the last cycle, i.e. the last cycle has not yet ended and the trial is over.
According to the data processing method provided by the embodiment, according to the speed curve characteristics before the cycle end point under the predetermined standard working condition, the computer automatically analyzes the acquired test data to obtain the end point of each cycle, and the obtained end points of each cycle are sequentially labeled with sequences, wherein the end point of one cycle is simultaneously the start point of the next cycle. The circulation of the working condition of the vehicle running is judged by automatic identification, the labor cost is saved compared with the traditional mode of manually judging the circulation, the data processing time is shortened, and the engineering development efficiency is further improved.
Figure 2 shows a speed profile for a standard operating condition. Fig. 2 shows the course of one cycle with time on the abscissa and speed on the ordinate, a representing the starting point and B representing the ending point, while B is also the starting point of the next cycle. The process of obtaining the end point of each cycle of the test data according to the speed curve characteristic before the cycle end point B under the standard condition shown in fig. 2, as shown in fig. 3, may include the steps of:
s21: and sequentially judging whether the speed in the acquired test data is greater than a first speed threshold value V1 according to the time sequence, and if so, judging whether the speed at the next moment is greater than the speed at the current moment.
Step S21 is executed to determine the data corresponding to the first curve segment L1 in fig. 2. When judging whether the speed is greater than the first speed threshold V1, the judgment object in the current judgment process, i.e., the speed, is the current time. That is, the current time is changed according to the change of the judgment object. The next time is relative to the current time, the next time is a subsequent time next to the current time, and the next time after the current time changes correspondingly.
Step S21 is executed to sequentially determine whether the speed in the acquired test data is greater than the first speed threshold V1 in chronological order, determine whether the speed at the next time is greater than the speed at the current time until the speed greater than the first speed threshold V1 occurs, and after determining that the speed at the next time is not greater than the speed at the current time, continue to execute the process of sequentially determining whether the speed in the acquired test data is greater than the first speed threshold V1 in chronological order.
S22: and if the speed at the next moment is greater than the speed at the current moment, sequentially judging whether the subsequent speeds are zero or not according to the time sequence, and if so, determining that the current moment is the identification point.
After determining the data corresponding to the first curve segment L1 in FIG. 2, step 22 is executed to determine the data corresponding to the second curve segment L2 in FIG. 2. Specifically, according to the time sequence, whether the subsequent speed is zero or not is sequentially judged, and until the speed is zero, whether the speed at the previous moment when the speed is zero is greater than zero or not is judged, that is, the point at which the speed is changed from the point greater than zero to zero is judged.
S23: it is determined that the time after the first time period T1 elapses from the identification point as the end point of the current cycle.
Referring to FIG. 4, a data plot is shown for one cycle of test data for vehicle driving conditions. After the identification point Z is judged, the time T which is different from the identification point Z by the time T1 is determinedendIs the end point of the current cycle.
The process of obtaining the end point of each cycle of the test data according to the speed curve characteristic before the cycle end point B under the standard condition shown in fig. 2 may also be a method shown in fig. 5, including the steps of:
s31: and sequentially judging whether the speed in the test data is greater than a second speed threshold value V2 according to the time sequence, and if so, judging whether the speed at the next moment is less than the speed at the current moment.
Step S31 is executed to determine data corresponding to the third curve segment L3 in fig. 2.
S32: if the speed at the next moment is less than the speed at the current moment, sequentially judging whether the subsequent speeds are zero or not according to the time sequence, and if so, determining that the current moment is an identification point;
s33: it is determined that the time after the first time period T1 elapses from the identification point as the end point of the current cycle.
The process of obtaining the end point of each cycle of the test data according to the speed curve characteristic before the cycle end point B under the standard condition shown in fig. 2 may also be a method shown in fig. 6, including the steps of:
s41: and sequentially judging whether the speed in the test data is zero or not according to the time sequence, and if so, recording the duration time of the speed being zero.
S42: when the duration is greater than a time threshold T1, the current time is determined to be the end point of the current cycle.
By directly judging the duration time with the speed being zero, the judging process is simplified, and the efficiency of the whole processing process is higher.
It should be noted that each of the methods shown in fig. 3, 5, and 6 is a process of acquiring an end point of a certain cycle, and after an end point of a cycle is obtained, each of the methods shown in fig. 3 to 5 may be continuously used to determine an end point of a next cycle until all data in the test data are analyzed. In this embodiment, the test data of the vehicle driving condition obtained by executing step S11 is data of a plurality of cycles, where a current cycle refers to a current cycle in the process of currently determining an end point of a certain cycle; the current cycle is dynamically changed, for example, after the end point of the current cycle is determined, the end point of the next cycle is continuously determined, and when the end point of the next cycle is determined, the next cycle is the current cycle.
While, for purposes of simplicity of explanation, the foregoing method embodiments have been described as a series of acts or combination of acts, it will be appreciated by those skilled in the art that the present invention is not limited by the illustrated ordering of acts, as some steps may occur in other orders or concurrently with other steps in accordance with the invention.
The following are embodiments of the apparatus of the present invention that may be used to perform embodiments of the method of the present invention. For details which are not disclosed in the embodiments of the apparatus of the present invention, reference is made to the embodiments of the method of the present invention.
The present embodiment provides a data processing apparatus, as shown in fig. 7, the apparatus may include: a data acquisition unit 11, a cycle end point determination unit 12, and a cycle end point labeling unit 13.
The data acquisition unit 11 is used for acquiring test data of the running condition of the vehicle, wherein the test data comprises a corresponding relation between time and speed;
a cycle end point determining unit 12, configured to analyze the test data according to a speed curve characteristic before a cycle end point under a standard operating condition, to obtain an end point of each cycle;
a cycle end point labeling unit 13, configured to label the obtained end points of each cycle with a sequence in order.
In the data processing apparatus provided in this embodiment, the cycle end point determining unit 12 automatically analyzes the acquired test data according to the speed curve characteristics before the cycle end point under the predetermined standard working condition, so as to obtain the end point of each cycle, and the cycle end point labeling unit 13 sequentially labels the obtained end points of each cycle, where the end point of one cycle is simultaneously the start point of the next cycle. The circulation of the working condition of the vehicle running is judged by automatic identification, the labor cost is saved compared with the traditional mode of manually judging the circulation, the data processing time is shortened, and the engineering development efficiency is further improved.
Optionally, the cycle end point determining unit 12 includes: a first feature judgment subunit 121, a second feature judgment subunit 122, and a cycle end point determination subunit 123, as shown in fig. 8.
A first characteristic determining subunit 121, configured to sequentially determine, according to a time sequence, whether a speed in the test data is greater than a first speed threshold, and if so, determine whether a speed at a next time is greater than a speed at a current time;
a second characteristic determining subunit 122, configured to, if the speed at the next time is greater than the speed at the current time, sequentially determine, according to a time sequence, whether subsequent speeds are zero, and if yes, determine that the current time is an identification point;
and a loop end point determining subunit 123, configured to determine that a time when the first time period has elapsed with the identification point as a starting point is an end point of the current loop.
Optionally, the cycle end point determining unit 12 includes: a third feature judgment subunit 131, a fourth feature judgment subunit 132, and a cycle end point determination subunit 133, as shown in fig. 9.
A third characteristic determining subunit 131, configured to sequentially determine, according to a time sequence, whether the speed in the test data is greater than a second speed threshold, and if so, determine whether the speed at the next time is less than the speed at the current time;
a fourth characteristic determining subunit 132, configured to, if the speed at the next time is less than the speed at the current time, sequentially determine, according to a time sequence, whether subsequent speeds are zero, and if yes, determine that the current time is the identification point;
a loop end point determining subunit 133, configured to determine that a time point after a first time period elapses with the identification point as a starting point is an end point of the current loop.
Optionally, the cycle end point determining unit 12 includes: a fifth characteristic judgment subunit 141 and a cycle end point determination subunit 142, as shown in fig. 10.
A fifth characteristic determining subunit 141, configured to sequentially determine, according to a time sequence, whether the speed in the test data is zero, and if yes, record a duration time for which the speed is zero;
a cycle end point determining subunit 142, configured to determine, when the duration is greater than the time threshold, that the current time is an end point of the current cycle.
Optionally, the data processing apparatus may further include: and the end point data marking unit is used for marking the starting point and the end point of the test data.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A data processing method, comprising:
acquiring test data of a vehicle running condition, wherein the test data comprises a corresponding relation between time and speed;
analyzing the test data according to the speed curve characteristics before the cycle end point under the standard working condition to obtain the end point of each cycle;
and marking the obtained end points of each cycle with sequences in sequence.
2. The method of claim 1, wherein analyzing the test data to obtain the end point of each cycle based on the speed profile characteristic prior to the end point of the cycle under standard operating conditions comprises:
sequentially judging whether the speed in the test data is greater than a first speed threshold value or not according to the time sequence, and if so, judging whether the speed at the next moment is greater than the speed at the current moment or not;
if the speed at the next moment is greater than the speed at the current moment, sequentially judging whether the subsequent speeds are zero or not according to the time sequence, and if so, determining that the current moment is an identification point;
and determining that the time after the first time period passes by taking the identification point as a starting point is the end point of the current cycle.
3. The method of claim 1, wherein analyzing the test data to obtain the end point of each cycle based on the speed profile characteristic prior to the end point of the cycle under standard operating conditions comprises:
sequentially judging whether the speed in the test data is greater than a second speed threshold value or not according to the time sequence, and if so, judging whether the speed at the next moment is less than the speed at the current moment or not;
if the speed at the next moment is less than the speed at the current moment, sequentially judging whether the subsequent speeds are zero or not according to the time sequence, and if so, determining that the current moment is an identification point;
and determining that the time after the first time period passes by taking the identification point as a starting point is the end point of the current cycle.
4. The method of claim 1, wherein analyzing the test data to obtain the end point of each cycle based on the speed profile characteristic prior to the end point of the cycle under standard operating conditions comprises:
sequentially judging whether the speed in the test data is zero or not according to the time sequence, and if so, recording the duration time of the speed being zero;
and when the duration is greater than a time threshold, determining that the current moment is the end point of the current cycle.
5. The method according to any one of claims 1 to 4, characterized by further comprising, after the obtaining of the test data of the vehicle driving condition:
marking the starting point and the end point of the test data.
6. A data processing apparatus, comprising:
the data acquisition unit is used for acquiring test data of the running condition of the vehicle, wherein the test data comprises a corresponding relation between time and speed;
the circulation end point determining unit is used for analyzing the test data according to the speed curve characteristics before the circulation end point under the standard working condition to obtain the end point of each circulation;
and the circulation end point marking unit is used for marking the obtained end points of each circulation with a sequence in sequence.
7. The apparatus of claim 6, wherein the cycle end point determining unit comprises:
the first characteristic judgment subunit is used for sequentially judging whether the speed in the test data is greater than a first speed threshold value according to a time sequence, and if so, judging whether the speed at the next moment is greater than the speed at the current moment;
the second characteristic judgment subunit is used for sequentially judging whether the subsequent speed is zero or not according to the time sequence if the speed at the next moment is greater than the speed at the current moment, and if so, determining that the current moment is the identification point;
and the cycle end point determining subunit is used for determining that the time when the first time period passes by taking the identification point as a starting point is the end point of the current cycle.
8. The apparatus of claim 6, wherein the cycle end point determining unit comprises:
a third characteristic judgment subunit, configured to sequentially judge, according to a time sequence, whether a speed in the test data is greater than a second speed threshold, and if so, judge whether a speed at a next time is less than a speed at a current time;
a fourth characteristic judgment subunit, configured to, if the speed at the next time is less than the speed at the current time, sequentially judge, according to a time sequence, whether subsequent speeds are zero, and if yes, determine that the current time is the identification point;
and the cycle end point determining subunit is used for determining that the time when the first time period passes by taking the identification point as a starting point is the end point of the current cycle.
9. The apparatus of claim 6, wherein the cycle end point determining unit comprises:
a fifth characteristic judgment subunit, configured to sequentially judge, according to a time sequence, whether the speed in the test data is zero, and if yes, record a duration time for which the speed is zero;
and the cycle end point determining subunit is used for determining that the current moment is the end point of the current cycle when the duration is greater than the time threshold.
10. The apparatus of any one of claims 6 to 9, further comprising:
and the end point data marking unit is used for marking the starting point and the end point of the test data.
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Application publication date: 20200508 |