CN116481560B - Vehicle driving mileage calculation method, device, terminal and storage medium - Google Patents
Vehicle driving mileage calculation method, device, terminal and storage medium Download PDFInfo
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Abstract
The invention provides a calculation method, a device, a terminal and a storage medium of vehicle driving mileage, wherein the method comprises the following steps: receiving vehicle track data, wherein each track data comprises data acquisition time information and vehicle position information; when a time window is closed, according to the data acquisition time information in each track data, placing track data which belongs to the time window but is not received before the time window is closed into a delay database; for the track data received in the time window and the track data belonging to the time window in the delay database, calculating the distance value of each two adjacent track data in the time window according to the vehicle position information of each two adjacent track data; and calculating the driving mileage of the vehicle according to the distance values of every two adjacent track data in all time windows in the whole driving process of the vehicle. The invention can improve the calculation precision of the vehicle driving mileage.
Description
Technical Field
The present invention relates to the field of intelligent driving technologies, and in particular, to a method and apparatus for calculating a driving range of a vehicle, a terminal, and a storage medium.
Background
The driving range of a vehicle is an important data in the driving process of the vehicle and is used for counting the driving distance of the vehicle. The calculation of the driving distance of the vehicle has very important significance in various scenes, for example, in the field of vehicle networking, the calculation of the driving distance of the vehicle is a basic service applied to the vehicle network, the taxi taking software carries out charging based on the calculation of the driving distance, and the commercial vehicle carries out oil consumption analysis, oil consumption control and the like based on the calculation of the driving distance.
The existing vehicle mileage calculation method is used for calculating mileage according to the vehicle running time and the vehicle speed in the running process, or calculating mileage according to the starting point and the ending point of the mileage of a map, and the like. These algorithms all have the problem of low mileage calculation accuracy, for example, mileage statistics is performed according to the running time of the vehicle and the speed of the vehicle during running, the speed of the vehicle is subjectively considered to be uniform within a certain period of time, and the running curvature of the vehicle is ignored, so that the error is large.
Therefore, how to improve the calculation accuracy of the driving mileage of the vehicle is a technical problem to be solved.
Disclosure of Invention
In view of the above, the invention provides a method, a device, a terminal and a storage medium for calculating the driving mileage of a vehicle, which can solve the problem of low calculation accuracy of the driving mileage of the vehicle in the prior art.
In a first aspect, an embodiment of the present invention provides a method for calculating a driving range of a vehicle, including:
receiving vehicle track data, wherein each track data comprises data acquisition time information and vehicle position information;
when a time window is closed, according to data acquisition time information in each track data, track data which belongs to the time window but is not received before the time window is closed is put into a delay database, wherein the whole running process of the vehicle is divided into a plurality of continuous time windows which are not overlapped by taking a preset time length as a time window;
for the track data received in the time window and the track data belonging to the time window in the delay database, calculating the distance value of each two adjacent track data in the time window according to the vehicle position information of each two adjacent track data;
and calculating the driving mileage of the vehicle according to the distance values of every two adjacent track data in all time windows in the whole driving process of the vehicle.
In one possible implementation manner, for the track data received in the time window and the track data belonging to the time window in the delay database, calculating the distance value of each two adjacent track data in the time window according to the vehicle position information of each two adjacent track data includes:
When the time window is closed, the track data received in the time window are time ordered to obtain a target data queue, for any two adjacent track data in the target data queue, the distance value of the two track data is calculated according to the vehicle position information of the two track data, if the track data belonging to the time window is detected to exist in the delay database, for any track data belonging to the time window in the delay database, the track data is inserted into the corresponding position of the target data queue according to the acquisition time information of the track data, and the distance value of the track data and the previous track data is calculated and updated;
or after the time window is closed, acquiring track data received in the time window and track data belonging to the time window in the delay database, sorting the acquired track data according to time to acquire a target data queue, and calculating the distance value of any two adjacent track data in the target data queue according to the vehicle position information of the two track data.
In one possible implementation, for any track data, the vehicle position information of the track data includes a longitude value and a latitude value, and after obtaining the target data queue, the method further includes:
And for any two adjacent track data in the target data queue, calculating the average value of longitude values and the average value of latitude values of the two track data, and updating the vehicle position information of the previous track data in the two track data to be the average value of longitude and the average value of latitude of the two track data.
In one possible implementation manner, for any track data, the track data further includes a vehicle speed value, and after calculating the distance value of each two adjacent track data within the time window, the method further includes:
for any two adjacent track numbers in the time window, calculating the corresponding time length of the two track data according to the acquisition time information of the two track data;
multiplying the time length corresponding to the two track data with a preset speed threshold value to obtain a first distance;
if the distance value of the two track data is calculated to be larger than the first distance according to the vehicle position information of the two track data, calculating a second distance according to the vehicle speed value of at least one track data in the two track data and the time length corresponding to the two track data, and updating the distance value between the two track data to be the second distance.
In one possible implementation, after calculating the distance value of each two adjacent track data within the time window according to the vehicle position information of each two adjacent track data, the method further includes:
acquiring a gradient value of a road in the running process of the vehicle;
for any road section, if the gradient value of the road section is larger than the preset gradient value, acquiring the starting position and the ending position of the road section;
acquiring all track data belonging to the road section according to the starting position and the ending position of the road section and the vehicle position information of each track data after the vehicle passes through the road section;
and correcting the distance value of each two adjacent track data according to the gradient value of the road section.
In one possible implementation, after calculating the distance value of each two adjacent track data within the time window according to the vehicle position information of each two adjacent track data, the method further includes:
acquiring the curve radius of a curve in a front road in the running process of the vehicle according to map navigation information;
if the curve radius of the curve is smaller than or equal to a preset radius, acquiring the starting position and the ending position of the curve;
Acquiring all track data belonging to the curve according to the vehicle position information of each track data after the vehicle passes through the curve according to the starting position and the ending position of the curve;
and correcting the distance value of each two adjacent track data according to the curve radius of the curve.
In a second aspect, an embodiment of the present invention provides a device for calculating a driving range of a vehicle, including: the device comprises a data receiving module, a data processing module, a distance calculating module and a mileage calculating module;
the data receiving module is used for receiving vehicle track data, wherein each track data comprises data acquisition time information and vehicle position information;
the data processing module is used for collecting time information according to data in each track data after a time window is closed, and placing track data which belongs to the time window and is not received before the time window is closed into the delay database, wherein the whole running process of the vehicle is divided into a plurality of continuous time windows which are not overlapped by taking a preset time length as a time window;
the distance calculation module is used for calculating the distance value of each two adjacent track data in the time window according to the vehicle position information of each two adjacent track data for the track data received in the time window and the track data belonging to the time window in the delay database;
And the mileage calculation module is used for calculating the mileage of the vehicle according to the distance value of every two adjacent track data in all time windows in the whole running process of the vehicle.
In one possible implementation, the distance calculation module is configured to:
when the time window is closed, the track data received in the time window are time ordered to obtain a target data queue, for any two adjacent track data in the target data queue, the distance value of the two track data is calculated according to the vehicle position information of the two track data, if the track data belonging to the time window is detected to exist in the delay database, for any track data belonging to the time window in the delay database, the track data is inserted into the corresponding position of the target data queue according to the acquisition time information of the track data, and the distance value of the track data and the previous track data is calculated and updated;
or after the time window is closed, acquiring track data received in the time window and track data belonging to the time window in the delay database, sorting the acquired track data according to time to acquire a target data queue, and calculating the distance value of any two adjacent track data in the target data queue according to the vehicle position information of the two track data.
In a third aspect, embodiments of the present invention provide a terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to the first aspect or any one of the possible implementations of the first aspect, when the computer program is executed.
In a fourth aspect, embodiments of the present invention provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method as described above in the first aspect or any one of the possible implementations of the first aspect.
Compared with the prior art, the embodiment of the invention has the beneficial effects that:
according to the invention, the time window and the delay database are set, the track data which belongs to the time window but is not received before the time window is closed is put into the delay database, and the mileage calculation is carried out through the track data received in the time window and the track data which belongs to the time window in the delay database, so that the calculation accuracy of the vehicle mileage is improved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for calculating a driving mileage of a vehicle according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of track data in a time window during a vehicle driving process in a state where track data is not delayed according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of delayed reception of track data in a vehicle cornering situation according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of smoothing track data according to an embodiment of the present invention;
FIG. 5 is a schematic illustration of a curve of a vehicle driving road according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a vehicle mileage calculation device according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the following description will be made by way of specific embodiments with reference to the accompanying drawings.
The method provided by the embodiment of the invention is suitable for passenger vehicles and commercial vehicles. Referring to fig. 1, a flowchart of an implementation method of a vehicle driving distance calculation method provided by an embodiment of the present invention is shown, where the method provided by the embodiment of the present invention is suitable for a case of calculating a vehicle driving distance. The method may be performed by a vehicle mileage calculation device, which may be constituted by software and/or hardware, and is typically integrated in an in-vehicle electronic device. The method provided by the embodiment of the invention is detailed as follows:
in step 101, vehicle track data is received, wherein each track data includes data acquisition time information and vehicle position information.
In the embodiment of the invention, optionally, track data of the vehicle is acquired through a global positioning system (Global Positioning System, GPS) or a beidou system, and each track data comprises two attributes, one attribute is acquisition time, and the other attribute is vehicle position. Vehicle location includes, but is not limited to, latitude and longitude information.
In step 102, after a time window is closed, track data belonging to the time window but not received before the time window is closed is put into a delay database according to data acquisition time information in each track data, wherein the whole running process of the vehicle is divided into a plurality of continuous time windows which are not overlapped by taking a preset time length as a time window.
In the embodiment of the invention, in order to improve the real-time performance of vehicle driving mileage calculation, the data is periodically processed by setting a time window. The size of the time window is a preset time length, and an exemplary length of one time window is 1 minute. The size of the time window can be set according to specific situations, and the size of the time window is not limited in the embodiment of the invention.
Fig. 2 is a schematic diagram of track data in a time window during a vehicle driving process in a state where track data is not delayed according to an embodiment of the present invention. As shown in fig. 2, the vehicle trajectory data acquisition device acquires the trajectory data of the vehicle at a fixed frequency, and in an ideal state, that is, in a state where the trajectory data acquisition is not delayed, acquires 6 trajectory data as shown in fig. 2 in sequence within one time window. However, since the receiving time of the track data is delayed, for example, the acquisition time of the track data 2 in fig. 2 should be the time when the vehicle arrives at the point 2, but the receiving time of the track data 2 may be received after the window is closed, that is, after the track data 6, and the acquisition times of the plurality of track data belonging to the same time window may not necessarily coincide with the receiving time sequence in the time window, for example, the track data 1 and the track data 3 both belong to the time window and both are received within the time window, but the track data 3 is received earlier than the track data 1.
The vehicle driving distance calculation method provided by the embodiment of the invention is calculated based on the track data of each time window. If the track data is not received in a time window, the calculation accuracy of the vehicle driving mileage is reduced.
Fig. 3 is a schematic diagram of delayed reception of track data in a vehicle turning state according to an embodiment of the present invention. As shown in fig. 3, in the case where the trajectory data reception is not delayed, the vehicle mileage is calculated by calculating the distance of every two adjacent trajectory data in turn, by means of distance accumulation. However, in a case where there is a delay in receiving track data in a time window, as shown in fig. 3, track data 4 is not received in the time window, track data 5 is the track data located after track data 3 in the case where track data 4 is missing, at this time, the vehicle mileage between track data 3 to 5 should be the sum of the distance of 3 to 4 and the distance of 4 to 5, but in the case where track data 4 is missing, the calculation result is the distance of 3 to 5, and in some special situations, such as a vehicle cornering situation, a large error is caused.
In order to solve the problem, in the embodiment of the invention, a delay database is set, track data which belongs to a time window but is not received before the closing/ending of the time window is put into the delay database according to the data acquisition time information of each track data, and the delay database is used for storing the track data which belongs to a time window but is not received before the closing of the time window, so that the track data is fed into the corresponding time window in the subsequent calculation, and the calculation precision of the vehicle driving mileage is improved.
In step 103, for the track data received in the time window and the track data belonging to the time window in the delay database, a distance value of each two adjacent track data in the time window is calculated according to the vehicle position information of each two adjacent track data.
In an alternative implementation manner, after the time window is closed, the track data received in the time window are time-ordered to obtain a target data queue, for any two adjacent track data in the target data queue, the distance value of the two track data is calculated according to the vehicle position information of the two track data, if the track data belonging to the time window is detected to exist in the delay database, for any track data belonging to the time window in the delay database, the track data is inserted into the corresponding position of the target data queue according to the acquisition time information of the track data, and the distance value of the track data and the previous track data is calculated and updated.
Optionally, for any track data, the track data further includes a distance value from a previous track data, after the track data is inserted into a corresponding position of the target data queue, the distance value between the track data and the previous track data is calculated, the calculated distance value is stored in the track data, the distance value between the track data and a next track data is calculated, and the calculated distance value is stored in the next track data.
According to the embodiment, the calculation can be performed after the time window is closed, and only when track data belonging to the time window is found in the delay database, the track data received in a delayed mode are inserted into the corresponding position of the target data queue according to the acquisition time information, so that the real-time performance is high.
In another optional implementation manner, or after the time window is closed, track data received in the time window and track data belonging to the time window in the delay database are acquired, the acquired track data are time ordered to obtain a target data queue, and for any two adjacent track data in the target data queue, the distance value of the two track data is calculated according to the vehicle position information of the two track data. Optionally, for any one of the track data, the track data further comprises a distance value from a previous track data.
In this implementation, in a period of time after the time window is closed, whether track data belonging to the time window exists is first searched in the delay database, if so, the track data received in the time window and the track data stored in the delay database belonging to the time window but delayed to be received are calculated together, so that the calculation amount can be reduced.
Two ways of implementing this step are described in connection with fig. 2. It is assumed that the track data 1 to 6 are track data belonging to the same time window, wherein the track data 2 is received after the time window is closed, and is put into the delay database. Optionally, sorting the other 5 trace data received in the time window according to the acquisition time sequence to obtain a target data queue: track data 1, track data 3, track data 4, track data 5, and track data 6. Based on two adjacent track data
For two adjacent time windows, the last trace data of the previous time window may be the first trace data of the subsequent time window. According to the vehicle position information of two adjacent track data, the distance between the two track data is calculated, for example, the distance between the track data 1 and 3 is A, the distance between the track data 3 and 4 is B, the distance between the track data 4 and 5 is C, the distance between the track data 5 and 6 is D, and each track data comprises a distance attribute used for representing the distance value with the previous track data besides the two attributes of the acquisition time information and the vehicle position information.
The distance value of the track data 1 is the distance value from the last track data of the previous time window, the distance value of the track data 3 is A, the distance value of the track data 4 is B, the distance value of the track data 5 is C, and the distance value of the track data 6 is D; after obtaining the distance value corresponding to each track data, if the track data 2 belonging to the time window exists in the delay database, inserting the track data 2 between the track data 1 and the track data 3 according to the data acquisition time information of the track data 2, respectively calculating the distance values of the track data 1 and the track data 2, assuming the distance values of A1,2 and 3 and assuming the distance value of A2, setting the distance value of the track data 2 as A1 at this time, and updating the distance value of the track data 3 as A2.
In another optional implementation manner, after the time window is closed, it is determined that the delay database contains data belonging to the time window, the track data received in the time window and the track data belonging to the time window in the delay database are ordered according to time to obtain a target data queue, then distance values of every two adjacent track data are calculated sequentially, and the distance values are marked on the track data which is the next track data of the two adjacent track data.
In step 104, the driving range of the vehicle is calculated according to the distance values of every two adjacent track data in all time windows during the whole driving process of the vehicle.
Because each track data marks the distance value with the adjacent previous track data, the vehicle driving mileage can be calculated by an accumulation mode.
In the embodiment of the present invention, in order to further improve the calculation accuracy of the driving range of the vehicle, after obtaining the target data queue of a time window in step 103, the method provided in the embodiment of the present invention further includes performing smoothing processing on the track data in the target data queue. Specifically, for any two adjacent track data in the target data queue, an average value of longitude values and an average value of latitude values of the two track data are calculated, and vehicle position information of the previous track data in the two track data is updated to be the average value of longitude and the average value of latitude of the two track data.
Fig. 4 is a schematic diagram of smoothing track data according to an embodiment of the present invention. Since in some cases, such as in the case of a high vehicle speed, the vehicle position information may drift, i.e., the positioning is inaccurate. In the actual driving situation of the vehicle, there is usually a certain drift of the trajectory data 1 to 6 on a relatively straight road, as shown in fig. 4, which is not in line with the imposed driving situation. The drift of the vehicle position information may cause a decrease in the accuracy of calculation of the vehicle mileage. To solve this problem, in the embodiment of the present invention, the track data in each target data queue is processed by a smoothing method, the longitude values of two adjacent track data are averaged, the latitude values are averaged to obtain a new position, the vehicle position information of the two adjacent track data is updated to the new position, as shown in fig. 4, the updated position of the track data 1 is a, the updated position of the track data 2 is b … …, the updated position of the track data 5 is e, and optionally, the vehicle position information of the track data 6 can be updated by the vehicle position information located after the track data 6 in the next time window. The connection a to e can be seen that the track data after the smoothing processing is more in line with the actual driving condition, and the calculation accuracy of the driving mileage of the vehicle is improved.
In the embodiment of the present invention, each track data further includes a vehicle speed value, and in order to further improve the calculation accuracy of the vehicle driving mileage, after calculating the distance value between every two adjacent track data in the time window, correcting the abnormal track data includes: for any two adjacent track numbers in the time window, calculating the corresponding time length of the two track data according to the acquisition time information of the two track data; multiplying the time length corresponding to the two track data with a preset speed threshold value to obtain a first distance; if the distance value of the two track data is calculated to be larger than the first distance according to the vehicle position information of the two track data, calculating a second distance according to the vehicle speed value of at least one track data in the two track data and the time length corresponding to the two track data, and updating the distance value between the two track data to be the second distance.
The process of correcting abnormal trajectory data within the time window is described with reference to fig. 2 and the above examples. The distance value of the track data 2 is A1, the distance value of the track data 3 is A2, the distance value of the track data 4 is B, the distance value of the track data 5 is C, and the distance value of the track data 6 is D.
Since the maximum driving speed exists a threshold value during driving of the vehicle, the threshold value can be set according to different vehicle types, for example, the maximum driving speed of the car is greater than the maximum driving speed of the heavy goods vehicle. The threshold is the preset speed threshold in the step. Taking the preset speed threshold value as v0=160 km/h as an example, according to the acquisition time of the track data 1 and the track data 2, obtaining the time length corresponding to the two track data, and multiplying V0 by T1 to obtain a first distance M1, wherein the first distance is the maximum distance that the vehicle can travel under the real driving condition. Comparing M1 with A1, if A1 > M1, it shows that the distance value between the track data 1 and the track data 2 is unreasonable, and the calculation accuracy of the vehicle driving mileage is reduced. At this time, the distance values of the track data 1 and 2 are corrected by the vehicle speed value of at least one of the track data 1 and the track data 2.
Optionally, since the time interval between the two track data is smaller, the speed change is not very large, and assuming that the speed value of the track data 1 is V1 and the speed value of the track data 2 is V2, V1 and T1 may be multiplied to obtain a corrected distance value, V2 and T1 may be multiplied to obtain a corrected distance value, and V1 and V2 may be averaged and then multiplied to T1 to obtain a corrected distance value. And updating A1 to the corrected distance value.
In an embodiment of the present invention, in order to further improve the calculation accuracy of the driving range of the vehicle, after calculating the distance value of each two adjacent track data in the time window according to the vehicle position information of each two adjacent track data, the method further includes: acquiring a gradient value of a road in the running process of a vehicle; for any road section, if the gradient value of the road section is larger than the preset gradient value, acquiring the starting position and the ending position of the road section; acquiring all track data belonging to the road section according to the starting position and the ending position of the road section and the vehicle position information of each track data after the vehicle passes through the road section; and correcting the distance value of each two adjacent track data according to the gradient value of the road section.
Because the distance value of the two adjacent track data is calculated based on longitude and latitude, when the road has gradient, the actual driving mileage of the vehicle is larger than the calculated mileage. When the gradient is greater than the preset gradient value, e.g. the gradient value isAs will be described with reference to FIG. 2, the distance between the track data 1 and 2 is A1 and the gradient is +.>And->If the distance value of the track data 2 is greater than the preset gradient, correcting the distance value of the track data 2 to be +. >。
In the embodiment of the invention, the influence on the mileage calculation accuracy is small when the gradient value is small, so that the distance value of the two track data is corrected according to the road gradient information only when the gradient is larger than the preset gradient. Because the gradient information of a section of road can be accurately obtained after a vehicle runs through the section of road, in the embodiment of the invention, after the vehicle passes through the section of road, the distance value between two track data is corrected in a correction mode.
In an embodiment of the present invention, in order to further improve the calculation accuracy of the driving range of the vehicle, after calculating the distance value of each two adjacent track data in the time window according to the vehicle position information of each two adjacent track data, the method further includes: acquiring the curve radius of a curve in a front road in the running process of the vehicle according to the map navigation information; if the radius of the curve is smaller than or equal to the preset radius, acquiring the starting position and the ending position of the curve; acquiring all track data belonging to the curve according to the starting position and the ending position of the curve and the vehicle position information of each track data after the vehicle passes through the curve; and correcting the distance value of each two adjacent track data according to the curve radius of the curve.
FIG. 5 is a schematic diagram of a curve of a vehicle driving road according to an embodiment of the present invention; as shown in fig. 5, in the case where there is a curve in which the distance between the track data 1 and the track data 2 is between 1 and 2, but the distance from the vehicle position information of the track data 1 and 2 is a straight line between 1 and 2, so that the calculated mileage is smaller than the actual mileage. To solve this problem, in the embodiment of the present invention, after the direct distances of the track data 1 and 2 are calculated, the curve lengths of the track data 1 and 2 can be obtained according to the curvature radius R in combination with the mathematical relationship, and the distance values of the track data 1 and 2 are corrected by the curve lengths.
Because of the curve radius information of the curve in the front road during the running of the vehicle, the starting position and the ending position of the curve, etc., are usually required to be acquired according to map navigation information. Map navigation information is generally predictive, and in order to ensure mileage accuracy, in embodiments of the present invention, the distance values of two adjacent track data are corrected based on outside road information, such as curve radius, after the vehicle passes through the curve.
According to the invention, the time window and the delay database are set, the track data which belongs to the time window but is not received before the time window is closed is put into the delay database, and the mileage calculation is carried out through the track data received in the time window and the track data which belongs to the time window in the delay database, so that the calculation accuracy of the vehicle mileage is improved.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
The following are device embodiments of the invention, for details not described in detail therein, reference may be made to the corresponding method embodiments described above.
Fig. 6 is a schematic structural diagram of a vehicle mileage calculation device according to an embodiment of the present invention, and for convenience of explanation, only the portions related to the embodiment of the present invention are shown, which is described in detail below:
as shown in fig. 6, the calculation device 6 of the vehicle mileage includes: a data receiving module 61, a data processing module 62, a distance calculating module 63, and a mileage calculating module 64;
a data receiving module 61 for receiving vehicle track data, wherein each track data includes data acquisition time information and vehicle position information;
the data processing module 62 is configured to, after a time window is closed, collect time information according to data in each track data, and put track data belonging to the time window but not received before the time window is closed into the delay database, where the whole running process of the vehicle is divided into a plurality of continuous time windows which are not overlapped with each other by taking a preset time length as a time window;
A distance calculating module 63, configured to calculate, for the track data received in the time window and the track data belonging to the time window in the delay database, a distance value of each two adjacent track data in the time window according to the vehicle position information of each two adjacent track data;
the mileage calculation module 64 is configured to calculate the mileage of the vehicle according to the distance values of every two adjacent track data in all time windows during the whole running process of the vehicle.
According to the invention, the time window and the delay database are set, the track data which belongs to the time window but is not received before the time window is closed is put into the delay database, and the mileage calculation is carried out through the track data received in the time window and the track data which belongs to the time window in the delay database, so that the calculation accuracy of the vehicle mileage is improved.
In one possible implementation, the distance calculation module 63 is configured to:
when the time window is closed, the track data received in the time window are time ordered to obtain a target data queue, for any two adjacent track data in the target data queue, the distance values of the two track data are calculated according to the vehicle position information of the two track data, if the track data belonging to the time window are detected to exist in the delay database, for any track data belonging to the time window in the delay database, the track data are inserted into the corresponding positions of the target data queue according to the acquisition time information of the track data, and the distance value of the track data and the previous track data is calculated and updated;
Or after the time window is closed, track data received in the time window and track data belonging to the time window in a delay database are acquired, the acquired track data are time ordered to obtain a target data queue, and for any two adjacent track data in the target data queue, the distance value of the two track data is calculated according to the vehicle position information of the two track data.
In one possible implementation, the distance calculation module 63 is configured to:
for any adjacent two track data in the target data queue, calculating an average value of longitude values and an average value of latitude values of the two track data, and updating the vehicle position information of the previous track data in the two track data to be the average value of longitude and the average value of latitude of the two track data.
In one possible implementation, the distance calculation module 63 is configured to:
for any two adjacent track numbers in the time window, calculating the corresponding time length of the two track data according to the acquisition time information of the two track data;
multiplying the time length corresponding to the two track data with a preset speed threshold value to obtain a first distance;
If the distance value of the two track data is calculated to be larger than the first distance according to the vehicle position information of the two track data, calculating a second distance according to the vehicle speed value of at least one track data in the two track data and the time length corresponding to the two track data, and updating the distance value between the two track data to be the second distance.
In one possible implementation, the distance calculation module 63 is configured to:
acquiring a gradient value of a road in the running process of a vehicle;
for any road section, if the gradient value of the road section is larger than the preset gradient value, acquiring the starting position and the ending position of the road section;
acquiring all track data belonging to the road section according to the starting position and the ending position of the road section and the vehicle position information of each track data after the vehicle passes through the road section;
and correcting the distance value of each two adjacent track data according to the gradient value of the road section.
In one possible implementation, the distance calculation module 63 is configured to:
acquiring the curve radius of a curve in a front road in the running process of the vehicle according to the map navigation information;
if the radius of the curve is smaller than or equal to the preset radius, acquiring the starting position and the ending position of the curve;
Acquiring all track data belonging to the curve according to the starting position and the ending position of the curve and the vehicle position information of each track data after the vehicle passes through the curve;
and correcting the distance value of each two adjacent track data according to the curve radius of the curve.
The calculation device for the vehicle driving mileage provided in the embodiment may be used to execute the above embodiment of the calculation method for the vehicle driving mileage, and its implementation principle and technical effects are similar, and this embodiment will not be repeated here.
Fig. 7 is a schematic diagram of a terminal according to an embodiment of the present invention. As shown in fig. 7, the terminal 7 of this embodiment includes: a processor 70, a memory 71, and a computer program 72 stored in the memory 71 and executable on the processor 70. The steps of the above-described embodiments of the method for calculating the vehicle mileage are implemented by the processor 70 when the computer program 72 is executed, for example, steps 101 to 104 shown in fig. 1. Alternatively, the processor 70, when executing the computer program 72, performs the functions of the modules/units of the apparatus embodiments described above, such as the functions of the modules 61 to 64 shown in fig. 6.
By way of example, the computer program 72 may be partitioned into one or more modules/units that are stored in the memory 71 and executed by the processor 70 to complete the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments are used for describing the execution of the computer program 72 in the terminal 7.
The terminal 7 may be a vehicle-mounted terminal, or may be a terminal of a notebook computer, a server, or the like. The terminal 7 may include, but is not limited to, a processor 70, a memory 71. It will be appreciated by those skilled in the art that fig. 7 is merely an example of the terminal 7 and is not limiting of the terminal 7, and may include more or fewer components than shown, or may combine some components, or different components, e.g., the terminal may further include input and output devices, network access devices, buses, etc.
The processor 70 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSPs), application specific integrated circuits (Application Specific Integrated Circuit, ASICs), field programmable gate arrays (Field-Programmable Gate Array, FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 71 may be an internal storage unit of the terminal 7, such as a hard disk or a memory of the terminal 7. The memory 71 may be an external storage device of the terminal 7, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the terminal 7. Further, the memory 71 may also include both an internal storage unit and an external storage device of the terminal 7. The memory 71 is used for storing the computer program as well as other programs and data required by the terminal. The memory 71 may also be used for temporarily storing data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal and method may be implemented in other manners. For example, the apparatus/terminal embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown 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 units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by instructing related hardware by a computer program, where the computer program may be stored in a computer readable storage medium, and the computer program may implement the steps of the method embodiment of calculating the driving range of each vehicle when executed by a processor. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium may include content that is subject to appropriate increases and decreases as required by jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is not included as electrical carrier signals and telecommunication signals.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.
Claims (8)
1. A method of calculating a vehicle mileage, comprising:
receiving vehicle track data, wherein each track data comprises data acquisition time information and vehicle position information;
when a time window is closed, according to data acquisition time information in each track data, track data which belongs to the time window but is not received before the time window is closed is put into a delay database, wherein the whole running process of the vehicle is divided into a plurality of continuous time windows which are not overlapped by taking a preset time length as a time window;
for the track data received in the time window and the track data belonging to the time window in the delay database, calculating the distance value of each two adjacent track data in the time window according to the vehicle position information of each two adjacent track data;
Calculating the driving mileage of the vehicle according to the distance value of each two adjacent track data in all time windows in the whole driving process of the vehicle;
wherein for the track data received in the time window and the track data belonging to the time window in the delay database, calculating the distance value of each two adjacent track data in the time window according to the vehicle position information of each two adjacent track data, including:
when the time window is closed, the track data received in the time window are time ordered to obtain a target data queue, for any two adjacent track data in the target data queue, the distance value of the two track data is calculated according to the vehicle position information of the two track data, if the track data belonging to the time window is detected to exist in the delay database, for any track data belonging to the time window in the delay database, the track data is inserted into the corresponding position of the target data queue according to the acquisition time information of the track data, and the distance value of the track data and the previous track data is calculated and updated;
or after the time window is closed, acquiring track data received in the time window and track data belonging to the time window in the delay database, sorting the acquired track data according to time to acquire a target data queue, and calculating the distance value of any two adjacent track data in the target data queue according to the vehicle position information of the two track data.
2. The method of claim 1, wherein for any track data, the vehicle location information of the track data includes a longitude value and a latitude value, and wherein after obtaining the target data queue, the method further comprises:
and for any two adjacent track data in the target data queue, calculating the average value of longitude values and the average value of latitude values of the two track data, and updating the vehicle position information of the previous track data in the two track data to be the average value of longitude and the average value of latitude of the two track data.
3. The method of claim 1, wherein for any one of the track data, the track data further comprises a vehicle speed value, and wherein after calculating the distance value for each two adjacent track data within the time window, the method further comprises:
for any two adjacent track numbers in the time window, calculating the corresponding time length of the two track data according to the acquisition time information of the two track data;
multiplying the time length corresponding to the two track data with a preset speed threshold value to obtain a first distance;
if the distance value of the two track data is calculated to be larger than the first distance according to the vehicle position information of the two track data, calculating a second distance according to the vehicle speed value of at least one track data in the two track data and the time length corresponding to the two track data, and updating the distance value between the two track data to be the second distance.
4. A method according to any one of claims 1 to 3, wherein after calculating the distance value for each two adjacent track data within the time window from the vehicle position information for each two adjacent track data, the method further comprises:
acquiring a gradient value of a road in the running process of the vehicle;
for any road section, if the gradient value of the road section is larger than the preset gradient value, acquiring the starting position and the ending position of the road section;
acquiring all track data belonging to the road section according to the starting position and the ending position of the road section and the vehicle position information of each track data after the vehicle passes through the road section;
and correcting the distance value of each two adjacent track data according to the gradient value of the road section.
5. A method according to any one of claims 1 to 3, wherein after calculating the distance value for each two adjacent track data within the time window from the vehicle position information for each two adjacent track data, the method further comprises:
acquiring the curve radius of a curve in a front road in the running process of the vehicle according to map navigation information;
if the curve radius of the curve is smaller than or equal to a preset radius, acquiring the starting position and the ending position of the curve;
Acquiring all track data belonging to the curve according to the vehicle position information of each track data after the vehicle passes through the curve according to the starting position and the ending position of the curve;
and correcting the distance value of each two adjacent track data according to the curve radius of the curve.
6. A vehicle mileage calculation apparatus, comprising: the device comprises a data receiving module, a data processing module, a distance calculating module and a mileage calculating module;
the data receiving module is used for receiving vehicle track data, wherein each track data comprises data acquisition time information and vehicle position information;
the data processing module is used for collecting time information according to data in each track data after a time window is closed, and placing track data which belongs to the time window and is not received before the time window is closed into the delay database, wherein the whole running process of the vehicle is divided into a plurality of continuous time windows which are not overlapped by taking a preset time length as a time window;
the distance calculation module is used for calculating the distance value of each two adjacent track data in the time window according to the vehicle position information of each two adjacent track data for the track data received in the time window and the track data belonging to the time window in the delay database;
The mileage calculation module is used for calculating the mileage of the vehicle according to the distance value of every two adjacent track data in all time windows in the whole running process of the vehicle;
the distance calculation module is used for:
when the time window is closed, the track data received in the time window are time ordered to obtain a target data queue, for any two adjacent track data in the target data queue, the distance value of the two track data is calculated according to the vehicle position information of the two track data, if the track data belonging to the time window is detected to exist in the delay database, for any track data belonging to the time window in the delay database, the track data is inserted into the corresponding position of the target data queue according to the acquisition time information of the track data, and the distance value of the track data and the previous track data is calculated and updated;
or after the time window is closed, acquiring track data received in the time window and track data belonging to the time window in the delay database, sorting the acquired track data according to time to acquire a target data queue, and calculating the distance value of any two adjacent track data in the target data queue according to the vehicle position information of the two track data.
7. A terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of the preceding claims 1 to 5 when the computer program is executed.
8. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any of the preceding claims 1 to 5.
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| CN116772895B (en) * | 2023-08-25 | 2023-11-03 | 北京三岭基业科技发展有限公司 | Method and system for acquiring current running mileage and speed by rail transit |
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| CN115683154A (en) * | 2022-11-10 | 2023-02-03 | 云控智行科技有限公司 | Method, device and equipment for calculating vehicle mileage |
| CN115761676A (en) * | 2022-11-17 | 2023-03-07 | 河北冀通慧达科技有限公司 | Method for automatically identifying road curve and terminal equipment |
| CN115790640A (en) * | 2023-02-02 | 2023-03-14 | 广州斯沃德科技有限公司 | Vehicle mileage correction method and device based on multidimensional data intelligent analysis |
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