CN113923219B - Method and device for constructing automobile cloud service signal propagation path and storage medium - Google Patents
Method and device for constructing automobile cloud service signal propagation path and storage medium Download PDFInfo
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- H—ELECTRICITY
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Abstract
The invention relates to the technical field of computers, in particular to a method and a device for constructing a signal propagation path of an automobile cloud service and a storage medium. The method comprises the steps of abstracting an automobile cloud service signal into sampling elements represented by coordinates, extracting the sampling elements to obtain a fitting sampling data sequence, constructing an automobile cloud service signal propagation path model, obtaining parameter sets based on the automobile cloud service signal propagation path model and the fitting sampling data sequence, returning and adjusting the fitting sampling data sequence and/or the automobile cloud service signal propagation path model when the parameter sets do not meet preset conditions until the recalculated parameter sets meet the preset conditions, and constructing an automobile cloud service signal propagation path according to the fitting sampling data sequence and the automobile cloud service signal propagation path model. The sampling data sequence for fitting the automobile cloud service signal propagation path is adjustable, and the connecting line between adjacent sampling elements is a curve, so that the constructed automobile cloud service signal propagation path is more accurate.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for constructing a signal propagation path of an automobile cloud service and a storage medium.
Background
The propagation path of the automobile cloud service signal is not completely known, and how to reconstruct the propagation path according to the limited signal sampling value is one of the key problems faced by automobile cloud, internet of vehicles and vehicle road cooperation.
The method for determining the propagation path of the automobile cloud service signal in the prior art comprises the following steps:
1) obtaining coordinates when a limited number of automobile cloud service signal sampling values are sampled, namely obtaining a fixed number of sampling values;
2) connecting the sampling values by straight lines;
3) and taking the direction obtained in the step 2) as a propagation path of the automobile cloud service signal.
Disclosure of Invention
The invention provides a method and a device for constructing a vehicle cloud service signal propagation path and a storage medium, which can improve the accuracy of constructing the vehicle cloud service signal propagation path.
On one hand, the invention provides a construction method of an automobile cloud service signal propagation path, which comprises the following steps:
collecting automobile cloud service signals, and constructing a sampling data sequence by taking the collected automobile cloud service signals as sampling elements, wherein the sampling elements comprise coordinates;
extracting sampling elements in the sampling data sequence, and determining a fitting sampling data sequence;
constructing an automobile cloud service signal propagation path model, wherein the automobile cloud service signal propagation path model is used for fitting signal propagation sub-paths of adjacent sampling elements in the fitting sampling data sequence;
calculating a parameter set of the automobile cloud service signal propagation path model according to the coordinates of all sampling elements in the fitted sampling data sequence and the automobile cloud service signal propagation path model;
if the parameter set does not meet the preset conditions, re-determining a fitting sampling data sequence and/or reconstructing an automobile cloud service signal propagation path model, and returning to the execution step: calculating a parameter set of the automobile cloud service signal propagation path model according to the coordinates of all sampling elements in the fitted sampling data sequence and the automobile cloud service signal propagation path model;
and if the parameter set meets the preset condition, constructing a sectional curve representing a signal transmission sub-path between adjacent sampling elements according to the automobile cloud service signal transmission path model, and splicing the sectional curves to obtain the transmission path of the automobile cloud service signal.
On the other hand, the invention provides a device for constructing a signal propagation path of an automobile cloud service, which comprises the following components:
the sampling data sequence determining module is used for acquiring automobile cloud service signals and constructing a sampling data sequence by taking the acquired automobile cloud service signals as sampling elements, wherein the sampling elements comprise coordinates;
the fitting sampling data sequence determining module is used for extracting sampling elements in the sampling data sequence and determining a fitting sampling data sequence;
the model building module is used for building an automobile cloud service signal propagation path model, and the automobile cloud service signal propagation path model is used for fitting signal propagation sub-paths of adjacent sampling elements in the fitting sampling data sequence;
a parameter set determining module, configured to calculate a parameter set of the car cloud service signal propagation path model according to the coordinates of all sampling elements in the fitted sampling data sequence and the car cloud service signal propagation path model;
the adjusting module is used for re-determining a fitting sampling data sequence and/or reconstructing an automobile cloud service signal propagation path model when the parameter set does not meet the preset condition, and returning to the executing step: calculating a parameter set of the automobile cloud service signal propagation path model according to the coordinates of all sampling elements in the fitted sampling data sequence and the automobile cloud service signal propagation path model;
and the propagation path construction module is used for constructing a sectional curve representing a signal propagation sub-path between adjacent sampling elements according to the automobile cloud service signal propagation path model when the parameter set meets a preset condition, and splicing the sectional curves to obtain the propagation path of the automobile cloud service signal.
In another aspect, the present invention provides an electronic device, which includes a processor and a memory, where the memory stores at least one instruction, at least one program, a code set, or a set of instructions, and the at least one instruction, the at least one program, the code set, or the set of instructions is loaded and executed by the processor to implement the above-mentioned method for constructing a signal propagation path of an automobile cloud service.
In another aspect, the present invention provides a computer-readable storage medium, where at least one instruction, at least one program, a code set, or a set of instructions is stored in the storage medium, and the at least one instruction, the at least one program, the code set, or the set of instructions is loaded and executed by a processor to implement the above method for constructing a signal propagation path of an automobile cloud service.
The construction method, the construction device and the storage medium of the automobile cloud service signal propagation path have the following beneficial effects that:
the invention abstracts the automobile cloud service signals into sampling elements represented by coordinates, extracts the sampling elements to obtain a fitting sampling data sequence for fitting the automobile cloud service signal propagation path, constructing an automobile cloud service signal propagation path model for fitting signal propagation sub-paths of adjacent sampling elements, solving a parameter set based on the automobile cloud service signal propagation path model and the fitting sampling data sequence, comparing the parameter set with preset conditions, and when the parameter set does not meet the preset condition, returning to adjust the fitted sampling data sequence and/or the automobile cloud service signal propagation path model until the recalculated parameter set meets the preset condition, constructing a piecewise curve between every two adjacent sampling elements according to the fitted sampling data sequence and the automobile cloud service signal propagation path model which enable the parameter set to meet the preset condition, and connecting the piecewise curves to form the automobile cloud service signal propagation path. The sampling data sequence used for fitting the automobile cloud service signal propagation path is adjustable, the appropriate data quantity can be automatically determined to construct the signal propagation path, and meanwhile, the connecting line between adjacent sampling elements is a curve based on an automobile cloud service signal propagation path model, so that the constructed automobile cloud service signal propagation path is more accurate, and the real condition of automobile cloud service signal propagation can be better reflected.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of 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 some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a use environment architecture diagram of a method for constructing a signal propagation path of an automobile cloud service according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a method for constructing a signal propagation path of an automobile cloud service according to an embodiment of the present invention;
FIG. 3 is a flow chart illustrating a method for determining a sample data sequence according to an embodiment of the present invention;
fig. 4 is a schematic flowchart of a method for adjusting a fitted sampled data sequence and/or a car cloud service signal propagation path model according to a comparison result between a parameter set and a preset condition, according to an embodiment of the present invention;
fig. 5 is a schematic flowchart of a method for constructing a propagation path of an automobile cloud service signal according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a propagation path for constructing an automobile cloud service signal in a rectangular planar coordinate system according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a device for constructing a signal propagation path of an automobile cloud service according to an embodiment of the present invention;
fig. 8 is a block diagram of a hardware structure of a server according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In order to facilitate the description of the advantages of the method in the embodiment of the present invention, at the beginning of the detailed description of the technical solution in the embodiment of the present invention, first, the related contents in the prior art are analyzed:
the method for determining the automobile cloud service signal propagation path in the prior art comprises the following steps:
the method comprises the following steps: obtaining coordinates when a limited number of automobile cloud service signal sampling values are sampled, namely obtaining a fixed number of sampling values;
step two: connecting the sampling values by straight lines;
step three: and D, using the direction obtained in the step two as a propagation path of the automobile cloud service signal.
However, after a lot of practices, the inventor finds that the signal propagation path reconstructed by the method cannot better reflect the real situation, and further analysis finds that the defects are mainly caused by the following factors: (1) the number of sampling values is fixed (fixed scale) and cannot be adjusted; (2) the connecting line between the sampling values is a straight line and cannot be adjusted.
In view of the defects of the prior art, the embodiment of the invention provides a construction scheme of an automobile cloud service signal propagation path, which comprises the steps of constructing an automobile cloud service signal propagation path model and determining a fitted sampling data sequence, returning and adjusting the automobile cloud service signal propagation path model and determining the fitted sampling data sequence based on a comparison result of a parameter set and a preset condition according to a parameter set obtained by the automobile cloud service signal propagation path model and the fitted sampling data sequence to obtain the parameter set meeting the preset condition, constructing a piecewise curve between adjacent sampling elements according to the fitted sampling data sequence and the automobile cloud service signal propagation path model, wherein the parameter set meets the preset condition, and connecting the piecewise curves to form the automobile cloud service signal propagation path. By dynamically adjusting the scale of the fitted sampling data and fitting the signal propagation path between two adjacent sampling elements by using a curve, the reconstructed automobile cloud service signal propagation path is closer to the real situation. The technical solution in the embodiments of the present invention is clearly and completely described below with reference to the accompanying drawings.
Referring to fig. 1, a schematic diagram of an implementation environment of the method provided by the embodiment of the invention is shown. The implementation environment may include: a terminal 11, a cloud server 12 and a data processing server 13.
Here, the terminal 11 may refer to a terminal of a vehicle, a terminal of a pedestrian, a terminal of road facilities, or the like. The terminal 11 can perform data interaction with the cloud server 12, and the terminal 11 can acquire a vehicle cloud service signal and acquire position information of a vehicle, and also can send the vehicle cloud service signal and the position information to the data processing server 13.
Alternatively, the terminal 11 may be a smart device such as a mobile phone, a tablet computer, a vehicle-mounted terminal, a personal computer, or the like. The cloud server 12 and the data processing server 13 may be one server, or may be a server cluster composed of a plurality of servers, or may be a cloud computing service center. The terminal 11 and the cloud server 12 establish communication connection through a wired or wireless network, and the terminal 11 and the data processing server 13 establish communication connection through a wired or wireless network.
It should be understood by those skilled in the art that the terminal 11, the cloud server 12 and the data processing server 13 are only examples, and other existing or future terminals or servers may be suitable for the present invention, and are included in the scope of the present invention and are herein incorporated by reference.
Based on the implementation environment shown in fig. 1, an embodiment of the present invention provides a method for constructing a signal propagation path of an automobile cloud service, where the method is applied to a data processing server 13. The present specification provides method steps as described in the examples or flowcharts, but may include more or fewer steps based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of sequences, and does not represent a unique order of performance. In actual implementation, the system or client product may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures. Referring to fig. 2, a method for constructing a signal propagation path of an automobile cloud service according to an embodiment of the present invention includes the following steps:
s201: the method comprises the steps of collecting automobile cloud service signals, and constructing a sampling data sequence by taking the collected automobile cloud service signals as sampling elements, wherein the sampling elements comprise coordinates.
The method provided by the invention can be used for automobile cloud, Internet of vehicles, vehicle-road coordination, safe auxiliary driving and automatic driving products on a product side, and particularly for automobile cloud, Internet of vehicles, vehicle-road coordination, safe auxiliary driving and automatic driving products which depend on an automobile cloud service signal propagation path and need to reconstruct the path. The application scenario of the invention satisfies the following conditions: 1) the automobile cloud service signal is transmitted along a plane; 2) the automobile cloud service signals are respectively sampled at different places, and signal transmission sub-paths vertical to the signal propagation direction do not exist; 3) the location at which the car cloud service signal is sampled may be obtained.
Automobile cloud service signal meaning: the automobile cloud service signal refers to a communication signal provided by an automobile cloud and penetrating through a plurality of car networking or vehicle road cooperative systems so as to connect the systems and provide certain service for the systems at the same time. The location at which the signal is sampled is actually the location of some internet of vehicles or road coordination system traversed by the signal. Reconstructing the propagation path of the signal can predict the trend of the signal and the position of the next car networking or car road cooperative system, and further predict the type of the next car networking or car road cooperative system and the required service thereof. This meaning indicates that: 1) the automobile cloud service signal is provided for the Internet of vehicles or the vehicle road cooperative system by the automobile cloud; 2) the automobile cloud service signal is used for connecting and serving an Internet of vehicles or a vehicle road cooperative system to a certain extent; 3) the car cloud service signal does not only propagate along one direction but also spreads, and the patent only considers the technology in a certain propagation direction in presentation form, but the technology in the direction can be applied to any propagation direction.
In a feasible embodiment, before the vehicle cloud service signal is collected, a plane rectangular coordinate system is constructed, and the specific method comprises the following steps: and constructing a plane rectangular coordinate system by taking any propagation direction of the automobile cloud service signal as the positive direction of an X axis and taking the direction vertical to the X axis as the Y axis direction.
In one possible embodiment, the collected automobile cloud service signal can be used as a sampling element, and the sampled position of the signal is used for determining the coordinates of the sampling element, and the coordinates can be mapped to the rectangular coordinate system constructed in the above way, so that the basis is provided for constructing the automobile cloud service signal propagation path. Fig. 3 is a schematic flowchart of a method for determining a sample data sequence according to an embodiment of the present invention, and please refer to fig. 3, where acquiring an automobile cloud service signal, and constructing the sample data sequence with the acquired automobile cloud service signal as a sampling element may include:
s301, determining the coordinates of the acquired places of the automobile cloud service signals as the coordinates of the sampling elements corresponding to the automobile cloud service signals.
And S303, sequentially extracting each sampling element to obtain an initial sampling data sequence.
The initial sampling data sequence comprises a plurality of sampling elements, the sampling elements are acquired by a terminal at a sampling place, X-axis coordinates and/or Y-axis coordinates of the sampling elements may be the same, and in order to acquire accurate data to construct an automobile cloud service signal propagation path, the initial sampling data sequence needs to be screened.
S305, filtering the initial sampling data sequence to obtain a sampling data sequence, wherein the X-axis coordinates of all sampling elements in the sampling data sequence are different, and the Y-axis coordinates of all sampling elements are different.
The automobile cloud service signals are continuously transmitted, when an initial sampling data sequence is screened, the X-axis coordinates and the Y-axis coordinates of all sampling elements can be compared, a plurality of sampling elements with different X-axis coordinates and different Y-axis coordinates are extracted and obtained, and the sampling data sequence is formed.
S203: and extracting sampling elements in the sampling data sequence, and determining a fitting sampling data sequence.
And extracting sampling elements from the sampling data sequence according to the required quantity to serve as a fitting sampling data sequence. In the embodiment of the invention, the sampling elements of the sampling data sequence can be adaptively adjusted according to the comparison result of the parameter set and the preset condition in the subsequent step, so that a proper number of sampling elements can be determined in a limited number of sampling elements, and the automobile cloud service signal propagation path constructed based on the fitted sampling data sequence is close to the real situation.
S205: and constructing an automobile cloud service signal propagation path model, wherein the automobile cloud service signal propagation path model is used for fitting signal propagation sub-paths of adjacent sampling elements in the fitting sampling data sequence.
The automobile cloud service signal propagation path model can be a parameter expression, such as a polynomial expression, an exponential expression or a logarithmic expression.
In one possible embodiment, the car cloud service signal propagation path model is a polynomial function used for fitting signal propagation sub-paths of adjacent sampling elements in the fitted sampling data sequence. According to the taylor theorem (taylor equation), any function can be approximated by a polynomial with an error that does not exceed the value of the highest-order term of the polynomial (i.e., if the highest-order term is (x-x) 0 ) To the power of 6, then the error of the approximation does not exceed (x-x) 0 ) To the power of 6. The embodiment of the invention adopts the polynomial function to approximate the real path of the automobile cloud service signal propagation, and compared with the mode of linearly connecting adjacent sampling elements in the prior art, the method can more accurately reflect the real path of the automobile cloud service signal propagation.
S207: and calculating a parameter set of the automobile cloud service signal propagation path model according to the coordinates of all sampling elements in the fitted sampling data sequence and the automobile cloud service signal propagation path model.
In one possible embodiment, the parameter set may be calculated by:
constructing a target equation set according to the number of sampling elements in the fitted sampling data sequence and the automobile cloud service signal propagation path model; calculating a solution set of the target equation set based on coordinates of sampling elements in the fitted sampled data sequence; determining a solution set of the target system of equations as the set of parameters.
In the target equation set, if the number of coefficients required is more and the number of equations in the target equation set is unchanged, the number of solved solutions is less; if the number of coefficients required is constant and the number of equations is larger, the fewer solutions are required. The number of sample elements in the sequence of fitted sample data and the degree of the polynomial function can both change the parameter set.
S209: and judging whether the parameter set meets a preset condition or not.
S211: if the parameter set does not meet the preset conditions, re-determining a fitting sampling data sequence and/or reconstructing an automobile cloud service signal propagation path model, and returning to the execution step: and calculating a parameter set of the automobile cloud service signal propagation path model according to the coordinates of all sampling elements in the fitted sampling data sequence and the automobile cloud service signal propagation path model.
S213: and if the parameter set meets the preset condition, constructing a sectional curve representing a signal transmission sub-path between adjacent sampling elements according to the automobile cloud service signal transmission path model, and splicing the sectional curves to obtain the transmission path of the automobile cloud service signal.
Specifically, the preset condition includes whether the parameter set exists and whether the parameter set is unique. Fig. 4 is a schematic flowchart of a method for adjusting a fitted sampled data sequence and/or an automobile cloud service signal propagation path model according to a comparison result between a parameter set and a preset condition, please refer to fig. 4, after step S401 calculates the parameter set of the automobile cloud service signal propagation path model according to coordinates of all sampling elements in the fitted sampled data sequence and the automobile cloud service signal propagation path model, the method further includes:
s403, judging whether the parameter set is an empty set;
s405, if the parameter set is an empty set, reducing the number of sampling elements in the fitting sampling data sequence and/or reducing the times of a polynomial function; and returns to execute step S401;
s407, if the parameter set is not an empty set, judging whether the parameter set is unique;
s409, if the parameter set is not unique, expanding the number of sampling elements in the fitting sampling data sequence and/or increasing the times of a polynomial function; and returns to execute step S401;
s411, if the parameter set is unique, constructing a piecewise curve representing a signal propagation sub-path between adjacent sampling elements according to the automobile cloud service signal propagation path model, and splicing the piecewise curves to obtain a propagation path of the automobile cloud service signal.
Fig. 5 is a flowchart illustrating a method for constructing a propagation path of an automobile cloud service signal according to an embodiment of the present invention. Referring to fig. 5, constructing a piecewise curve representing a signal propagation sub-path between adjacent sampling elements according to the car cloud service signal propagation path model, and splicing the piecewise curves to obtain a propagation path of a car cloud service signal may include the following steps:
s501, constructing sampling element groups according to the sampling elements with adjacent relation in the fitting sampling data sequence in sequence to obtain a sampling element group sequence containing a plurality of sampling element groups.
S503, executing a step of drawing a piecewise curve for each sampling element group in the sampling element group sequence; the step of drawing the piecewise curve comprises the following steps: and substituting the coordinates of the sampling elements of the sampling element group into the polynomial function to obtain a target polynomial function corresponding to the sampling element group, and drawing a piecewise curve corresponding to the sampling element group in a plane rectangular coordinate system according to the target polynomial function.
And S505, taking a curve formed by connecting the segmented curves in the plane rectangular coordinate system as a propagation path of the automobile cloud service signal.
Fig. 6 shows a propagation path of an automobile cloud service signal constructed according to the method of the embodiment, and the implementation process of the method of the embodiment of the invention is described in detail below.
The construction method of the automobile cloud service signal propagation path is implemented according to the following steps:
1) a development platform (in the embodiment, a ThinkPad series notebook is used as the development platform, and a processor Intel (R) core (TM) i5-5200U CPU @2.20GHz, a memory 8.00G and a 64-bit system are set up. Other software and hardware platforms and corresponding environments may also be adopted in this embodiment), a development environment (the programming language python development environment used in this embodiment), an installation auxiliary library, and a package, such as math, requests, time, numpy (note: this embodiment is implemented in the computer language python. In addition to the language python, any computer language including nodejs may be used).
2) And constructing a plane rectangular coordinate system by taking the propagation direction of the automobile cloud service signal as an x-axis direction and taking the direction vertical to the x-axis direction as a y-axis direction.
3) Acquiring coordinates of n (n is more than or equal to 1) automobile cloud service signals when the signals are sampled (in the process of signal propagation, each signal is sampled at a certain place, and the place is abstracted into coordinates in a coordinate system) and respectively recording as (x) 0 ，y 0 )，(x 1 ，y 1 )，...，(x n-1 ，y n-1 ) (ii) a The automobile cloud service signal is taken as a sampling element, and the coordinate of the sampling element is (x) 0 ，y 0 )，(x 1 ，y 1 )，...，(x n-1 ，y n-1 )。
4) The n automobile cloud service signals are respectively sampled at different places, and no signal transmission sub-path vertical to the signal propagation direction exists, namely x i ≠x j I ≠ j, i, j ∈ {0, 2., n-1}, let x 0 ＜x 1 ＜...＜x n-1 ；
5) Reconstruction of x i And x i+1 The parametric representation of the propagation sub-path between i e {0, 2,. cndot., n-2 }: if x i ≤x≤x i+1 Then, x i And x i+1 The propagation path between i, {0, 2.,. n-2} is defined by a polynomial function of degree m (m ≧ 1)
f i (x-x i )＝a i，m (x-x i ) m +a i，m-1 (x-x i ) m-1 +...+a i，1 (x-x i )+a i，0 ，i∈{0，2，...，n-2}
Giving out; namely, the formula (1):
f i (x-x i )＝a i，m (x-x i ) m +a i，m-1 (x-x i ) m-1 +...+a i，1 (x-x i )+a i，0 ，x i ≤x≤x i+1 i∈{0，2，...，n-2}
6) determining the parameter values of the expression: because the car cloud service signal is continuously propagated, equation set (2) is constructed according to equation (1):
solving the equation set (2) can obtain
a 0，m ，a 0，m-1 ，...，a 0，1 ，a 0，0 ，a 1，m ，a 1，m-1 ，…，a 1，1 ，a 1，0 ，...，a n-2，m ，a n-2，m-1 ，...，a n-2，1 ，a n-2，0
7) Adjusting the scale of the sampling elements of the automobile cloud service signals: if the equation set (2) in the step 6) has a unique solution, then go to the step 8); if the equation set (2) in the step 6) has multiple solutions, enlarging the scale of the automobile cloud service signal sampling element or increasing the times of a polynomial function, namely increasing n or m until the equation set (2) has a unique solution, and turning to a step 8); if the equation set (2) in the step 6) has no solution, reducing the scale of the sampling element of the automobile cloud service signal or reducing the times of the polynomial function, namely reducing n or m until the equation set (2) has a unique solution, and turning to a step 8);
8) drawing a piecewise curve on all m (m is more than or equal to 1) degree polynomials obtained in the steps 4) to 6) in a plane rectangular coordinate system, and then drawing the piecewise curve according to x 0 ，x 1 ，...，x n-1 And after the increased sequence is connected with each sampling element, a continuous function curve is obtained, and the function curve is a propagation path of the automobile cloud service signal reconstructed according to the signal sampling elements.
Further analyzing the effect of the automobile cloud service signal constructed by implementing the method of the invention, counting the reconstruction accuracy without using the method of the invention and after using the method of the invention, wherein the total time delay without using the method of the invention and after using the method of the invention is shown in table 1;
TABLE 1
The invention abstracts the automobile cloud service signals into sampling elements represented by coordinates, extracts the sampling elements to obtain a fitting sampling data sequence for fitting the automobile cloud service signal propagation path, constructing an automobile cloud service signal propagation path model for fitting signal propagation sub-paths of adjacent sampling elements, solving a parameter set based on the automobile cloud service signal propagation path model and the fitting sampling data sequence, comparing the parameter set with preset conditions, and when the parameter set does not meet the preset condition, returning to adjust the fitted sampling data sequence and/or the automobile cloud service signal propagation path model until the recalculated parameter set meets the preset condition, constructing a piecewise curve between every two adjacent sampling elements according to the fitted sampling data sequence and the automobile cloud service signal propagation path model which enable the parameter set to meet the preset condition, and connecting the piecewise curves to form the automobile cloud service signal propagation path. The sampling data sequence used for fitting the automobile cloud service signal propagation path is adjustable, the appropriate data quantity can be automatically determined to construct the signal propagation path, and meanwhile, the connecting line between adjacent sampling elements is a curve based on an automobile cloud service signal propagation path model, so that the constructed automobile cloud service signal propagation path is more accurate, and the real condition of automobile cloud service signal propagation can be better reflected.
The embodiment is only used for illustrating the invention, and the selection of the development environment, the development language, the information acquisition source, the parameters in the related formulas and the like can be changed, and on the basis of the technical scheme of the invention, the improvement and equivalent transformation of a certain part according to the principle of the invention are not excluded from the protection scope of the invention.
An embodiment of the present invention further provides a device for constructing a car cloud service signal propagation path, where fig. 7 is a schematic structural diagram of the device for constructing a car cloud service signal propagation path provided in the embodiment of the present invention, and as shown in fig. 7, the device includes:
the sampling data sequence determining module 710 is configured to acquire an automobile cloud service signal, and construct a sampling data sequence with the acquired automobile cloud service signal as a sampling element, where the sampling element includes a coordinate;
a fitting sampling data sequence determining module 720, configured to extract sampling elements in the sampling data sequence, and determine a fitting sampling data sequence;
the model building module 730 is configured to build an automobile cloud service signal propagation path model, where the automobile cloud service signal propagation path model is used to fit signal propagation sub-paths of adjacent sampling elements in the fitted sampling data sequence;
a parameter set determining module 740, configured to calculate a parameter set of the car cloud service signal propagation path model according to the coordinates of all sampling elements in the fitted sampling data sequence and the car cloud service signal propagation path model;
an adjusting module 750, configured to re-determine a fitted sampling data sequence and/or a reconstructed car cloud service signal propagation path model when the parameter set does not satisfy a preset condition, and return to the executing step: calculating a parameter set of the automobile cloud service signal propagation path model according to the coordinates of all sampling elements in the fitted sampling data sequence and the automobile cloud service signal propagation path model;
and the propagation path constructing module 760 is configured to construct a piecewise curve representing a signal propagation sub-path between adjacent sampling elements according to the automobile cloud service signal propagation path model when the parameter set meets a preset condition, and splice the piecewise curves to obtain a propagation path of the automobile cloud service signal.
In one possible embodiment, the apparatus further comprises a planar rectangular coordinate system building module. The rectangular plane coordinate system building module is used for: and constructing a plane rectangular coordinate system by taking any propagation direction of the automobile cloud service signal as the positive direction of an X axis and taking the direction vertical to the X axis as the Y axis direction.
In one possible embodiment, the parameter set determining module 740 is further configured to: constructing a target equation set according to the number of sampling elements in the fitted sampling data sequence and the automobile cloud service signal propagation path model; calculating a solution set of the target equation set based on coordinates of sampling elements in the fitted sampled data sequence; determining a solution set of the target system of equations as the set of parameters.
The sampling data sequence determining module 710 is further configured to determine coordinates of a place where each of the car cloud service signals is acquired as coordinates of a sampling element corresponding to the car cloud service signal; sequentially extracting each sampling element to obtain an initial sampling data sequence; and filtering the initial sampling data sequence to obtain a sampling data sequence, wherein the X-axis coordinates of all sampling elements in the sampling data sequence are different, and the Y-axis coordinates of all sampling elements are different.
The propagation path construction module 760 is further configured to: and constructing a polynomial function for fitting signal propagation sub-paths of adjacent sampling elements in the fitting sampling data sequence, and taking the polynomial function as the automobile cloud service signal propagation path model.
The embodiment of the construction device and the method of the automobile cloud service signal propagation path is based on the same inventive concept.
The invention abstracts the automobile cloud service signals into sampling elements represented by coordinates, extracts the sampling elements to obtain a fitting sampling data sequence for fitting the automobile cloud service signal propagation path, constructing an automobile cloud service signal propagation path model for fitting signal propagation sub-paths of adjacent sampling elements, solving a parameter set based on the automobile cloud service signal propagation path model and the fitting sampling data sequence, comparing the parameter set with preset conditions, and when the parameter set does not meet the preset condition, returning and adjusting the fitting sampling data sequence and/or the automobile cloud service signal propagation path model until the recalculated parameter set meets the preset condition, constructing a piecewise curve between each two adjacent sampling elements according to the fitting sampling data sequence and the automobile cloud service signal propagation path model which enable the parameter set to meet the preset condition, and connecting the piecewise curves to form the automobile cloud service signal propagation path. The sampling data sequence used for fitting the automobile cloud service signal propagation path is adjustable, the appropriate data quantity can be automatically determined to construct the signal propagation path, and meanwhile, the connecting line between adjacent sampling elements is a curve based on an automobile cloud service signal propagation path model, so that the constructed automobile cloud service signal propagation path is more accurate, and the real condition of automobile cloud service signal propagation can be better reflected.
The embodiment of the invention provides electronic equipment, which comprises a processor and a memory, wherein at least one instruction, at least one program, a code set or an instruction set is stored in the memory, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to realize the construction method of the automobile cloud service signal propagation path provided by the above method embodiment.
The memory may be used to store software programs and modules, and the processor may execute various functional applications and data processing by operating the software programs and modules stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system, application programs needed by functions and the like; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory may also include a memory controller to provide the processor access to the memory.
The method provided by the embodiment of the invention can be executed in a computer terminal, a server or a similar operation device. Taking the operation on a server as an example, fig. 8 is a hardware structure block diagram of the server of the method for constructing the signal propagation path of the cloud service of the automobile according to the embodiment of the present invention. As shown in fig. 8, the server 800 may have a relatively large difference due to different configurations or performances, and may include one or more Central Processing Units (CPUs) 810 (the processor 810 may include but is not limited to a Processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 830 for storing data, one or more storage media 820 (e.g., one or more mass storage devices) for storing applications 823 or data 822. Memory 830 and storage medium 820 may be, among other things, transient or persistent storage. The program stored in storage medium 820 may include one or more modules, each of which may include a series of instruction operations for a server. Still further, the central processor 810 may be configured to communicate with the storage medium 820, and execute a series of instruction operations in the storage medium 820 on the server 800. The server 800 may also include one or more power supplies 860, one or more wired or wireless network interfaces 850, one or more input-output interfaces 840, and/or one or more operating systems 821, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, and so forth.
The input-output interface 840 may be used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the server 800. In one example, i/o Interface 840 includes a Network adapter (NIC) that may be coupled to other Network devices via a base station to communicate with the internet. In one example, the input/output interface 840 may be a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
It will be understood by those skilled in the art that the structure shown in fig. 8 is only an illustration and is not intended to limit the structure of the electronic device. For example, server 800 may also include more or fewer components than shown in FIG. 8, or have a different configuration than shown in FIG. 8.
The embodiment of the present invention further provides a storage medium, where the storage medium may be disposed in a server to store at least one instruction, at least one program, a code set, or a set of instructions related to implementing the method for constructing a signal propagation path of an automobile cloud service in the method embodiment, and the at least one instruction, the at least one program, the code set, or the set of instructions is loaded and executed by the processor to implement the method for constructing a signal propagation path of an automobile cloud service provided in the method embodiment.
Optionally, in this embodiment, the storage medium may be located in at least one network client of a plurality of network clients of a computer network. Optionally, in this embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and various media capable of storing program codes.
It should be noted that: the precedence order of the above embodiments of the present invention is only for description, and does not represent the merits of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the device and server embodiments, since they are substantially similar to the method embodiments, the description is simple, and the relevant points can be referred to the partial description of the method embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (12)
1. A construction method of an automobile cloud service signal propagation path is characterized by comprising the following steps:
constructing a sampling data sequence by taking the collected automobile cloud service signals as sampling elements, wherein the sampling elements comprise coordinates;
extracting sampling elements in the sampling data sequence, and determining a fitting sampling data sequence;
constructing an automobile cloud service signal propagation path model, wherein the automobile cloud service signal propagation path model is used for fitting signal propagation sub-paths of adjacent sampling elements in the fitting sampling data sequence;
calculating according to the coordinates of all sampling elements in the fitted sampling data sequence and the automobile cloud service signal propagation path model to obtain a parameter set of the automobile cloud service signal propagation path model; the sampling site is a site of an automobile network or a vehicle road cooperative system which is traversed by the automobile cloud service signal;
and if the parameter set meets the preset condition, constructing a sectional curve representing a signal transmission sub-path between adjacent sampling elements according to the automobile cloud service signal transmission path model, and splicing the sectional curves to obtain the transmission path of the automobile cloud service signal.
2. The method of claim 1, further comprising:
if the parameter set does not meet the preset condition, reconstructing at least one of the fitted sampling data sequence and the automobile cloud service signal propagation path model;
calculating according to the sampling positions of all sampling elements in the fitting sampling data sequence and the automobile cloud service signal propagation path model to obtain an updated parameter set; wherein at least one of the fitted sampled data sequence and the automobile cloud service signal propagation path model is reconstructed.
3. The method of claim 2, wherein prior to constructing the fitted sampled data sequence with the acquired automotive cloud service signals as sampling elements, the method further comprises:
and constructing a plane rectangular coordinate system by taking any propagation direction of the automobile cloud service signal as the positive direction of an X axis and taking the direction vertical to the X axis as the Y axis direction.
4. The method of claim 1 or 3, wherein the calculating according to the sampling locations of all sampling elements in the fitted sampling data sequence and the car cloud service signal propagation path model to obtain the parameter set of the car cloud service signal propagation path model comprises:
constructing a target equation set according to the number of sampling elements in the fitted sampling data sequence and the automobile cloud service signal propagation path model;
calculating a solution set of the target equation set based on coordinates of sampling locations of sampling elements in the fitted sampled data sequence;
determining a solution set of the target system of equations as the set of parameters.
5. The method of claim 4, wherein the constructing a sample data sequence with the acquired automobile cloud service signals as sample elements comprises:
sequentially extracting each acquired sampling element to obtain an initial sampling data sequence;
and filtering the initial sampling data sequence to obtain a sampling data sequence, wherein the X-axis coordinates of the sampling positions of all sampling elements in the sampling data sequence are different, and the Y-axis coordinates of the sampling positions of all sampling elements are different.
6. The method of claim 2, wherein constructing the car cloud service signal propagation path model comprises:
and constructing a polynomial function for fitting signal propagation sub-paths of adjacent sampling elements in the fitting sampling data sequence, and taking the polynomial function as the automobile cloud service signal propagation path model.
7. The method of claim 6, wherein reconstructing at least one of the fitted sample data sequence and the car cloud service signal propagation path model if the parameter set does not satisfy a predetermined condition comprises:
if the parameter set is an empty set, reducing at least one of the number of sampling elements in the fitted sampling data sequence and the degree of a polynomial function;
if the set of parameters is not unique, at least one of increasing a number of sample elements in the fitted sample data sequence and increasing a degree of a polynomial function.
8. The method according to claim 6, wherein the constructing of the piecewise curves representing the signal propagation sub-paths between adjacent sampling elements according to the car cloud service signal propagation path model and the splicing of the piecewise curves to obtain the propagation path of the car cloud service signal comprises:
sequentially constructing sampling element groups according to the sampling elements with adjacent relation in the fitted sampling data sequence to obtain a plurality of sampling element groups;
substituting the coordinates of the sampling positions of the sampling elements in the sampling element group into the polynomial function to obtain a target polynomial function corresponding to the sampling element group;
drawing a piecewise curve corresponding to the sampling element group in a plane rectangular coordinate system according to the target polynomial function;
and taking a curve formed by connecting the segmented curves corresponding to the plurality of sampling element groups in the plane rectangular coordinate system as a propagation path of the automobile cloud service signal.
9. A construction device for a signal propagation path of an automobile cloud service is characterized by comprising the following components:
the sampling data sequence determining module is used for constructing a sampling data sequence by taking the acquired automobile cloud service signals as sampling elements, and the sampling elements comprise coordinates;
the fitting sampling data sequence determining module is used for extracting sampling elements in the sampling data sequence and determining a fitting sampling data sequence;
the model building module is used for building an automobile cloud service signal propagation path model, and the automobile cloud service signal propagation path model is used for fitting signal propagation sub-paths of adjacent sampling elements in the fitting sampling data sequence;
the parameter set determining module is used for calculating according to the coordinates of all sampling elements in the fitted sampling data sequence and the automobile cloud service signal propagation path model to obtain a parameter set of the automobile cloud service signal propagation path model; the sampling site is a site of an automobile network or a vehicle road cooperative system which is traversed by the automobile cloud service signal;
and the propagation path construction module is used for constructing a sectional curve representing a signal propagation sub-path between adjacent sampling elements according to the automobile cloud service signal propagation path model if the parameter set meets a preset condition, and splicing the sectional curves to obtain a propagation path of the automobile cloud service signal.
10. An electronic device, comprising a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded by the processor and executed to implement the method for constructing the signal propagation path of the car cloud service according to any one of claims 1 to 8.
11. A computer-readable storage medium, wherein at least one instruction or at least one program is stored in the storage medium, and the at least one instruction or the at least one program is loaded and executed by a processor to implement the method for constructing the signal propagation path of the car cloud service according to any one of claims 1 to 8.
12. A server, characterized in that the server comprises a processor and a memory, wherein at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the method for constructing a signal propagation path for car cloud service according to any one of claims 1 to 8.
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