CN115190426B - Method, device and chip for realizing self-organizing network for traffic vehicle management and control - Google Patents

Method, device and chip for realizing self-organizing network for traffic vehicle management and control Download PDF

Info

Publication number
CN115190426B
CN115190426B CN202211101224.2A CN202211101224A CN115190426B CN 115190426 B CN115190426 B CN 115190426B CN 202211101224 A CN202211101224 A CN 202211101224A CN 115190426 B CN115190426 B CN 115190426B
Authority
CN
China
Prior art keywords
communication
network
self
vehicle
map
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202211101224.2A
Other languages
Chinese (zh)
Other versions
CN115190426A (en
Inventor
王嘉诚
张少仲
张栩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhongcheng Hualong Computer Technology Co Ltd
Original Assignee
Zhongcheng Hualong Computer Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhongcheng Hualong Computer Technology Co Ltd filed Critical Zhongcheng Hualong Computer Technology Co Ltd
Priority to CN202211101224.2A priority Critical patent/CN115190426B/en
Publication of CN115190426A publication Critical patent/CN115190426A/en
Application granted granted Critical
Publication of CN115190426B publication Critical patent/CN115190426B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organising networks, e.g. ad-hoc networks or sensor networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention belongs to the technical field of network communication, and provides a method, a device and a chip for realizing a self-organizing network for traffic vehicle management and control, wherein the method comprises the following steps: constructing a self-organizing network, and determining the space and time number of the self-organizing network; the current position of a vehicle in communication connection with the self-organizing network is locked based on the self-organizing network, and a vehicle position map is constructed and obtained based on all the positions at the same moment; comparing the vehicle position map with a network range map of the self-organizing network to obtain a position difference map; and determining the communication problem of the self-organization network based on the communication time log corresponding to the time number and the communication space log corresponding to the space number, and verifying the communication problem based on the position difference graph to update the configuration of the self-organization network. By implementing the method, the device and the chip of the technical scheme, the monitoring effectiveness of the self-organizing network is effectively ensured.

Description

Method, device and chip for realizing self-organizing network for traffic vehicle management and control
Technical Field
The invention relates to the technical field of network communication, in particular to a method, a device and a chip for realizing a self-organizing network for traffic vehicle management and control.
Background
In the process of traffic management, the vehicle is generally positioned by a GPS, but the GPS cannot monitor the dynamics of the vehicle at a weak signal place, so that the whole-course monitoring cannot be performed, although the monitoring is performed by using a network coverage method, in the monitoring process, because the network is arranged in advance, the monitoring is performed by generally using a fixed mode, unreasonable monitoring conditions for some areas may exist, for example, communication connection fails, and the like, so that the network monitoring fails directly, and the driving control of the vehicle is reduced indirectly.
Therefore, the invention provides a method, a device and a chip for realizing an ad hoc network for traffic vehicle management and control.
Disclosure of Invention
The invention provides a method, a device and a chip for realizing a self-organizing network for traffic vehicle management and control, which are used for verifying communication problems by constructing an organizing network, numbering space and time and comparing a network range diagram with a position diagram obtained by vehicle communication, thereby effectively ensuring the monitoring effectiveness of the self-organizing network.
The invention provides a method for realizing a self-organizing network for traffic vehicle management and control, which comprises the following steps:
step 1: constructing a self-organizing network, and determining a space number and a time number of the self-organizing network;
step 2: the current position of a vehicle in communication connection with the self-organization network is locked based on the self-organization network, and a vehicle position map is constructed based on all the positions at the same moment;
and step 3: comparing the vehicle position map with a network range map of the self-organizing network to obtain a position difference map;
and 4, step 4: determining a communication problem of the self-organization network based on the communication time log corresponding to the time number and the communication space log corresponding to the space number, and verifying the communication problem based on the position difference graph;
and 5: and according to the verification result, updating the configuration of the self-organizing network.
Preferably, constructing an ad hoc network, and determining a spatial number and a temporal number of the ad hoc network, includes:
firstly determining the area boundary of a target area, and simultaneously, performing second determination on different area roads of the target area;
numbering the position points based on the first determination result and the second determination result, and determining a region to be constructed according to the numbering result of the position points;
according to the area layout of the area to be constructed, arranging a self-organization network to the area to be constructed;
determining the self-organizing network to determine network coverage space points and network supervision time of each network coverage space point;
respectively matching with corresponding network coverage space points based on the position point numbers to obtain corresponding space numbers;
and meanwhile, matching the corresponding time number from the time number-number database based on the network supervision time length of each network coverage space point.
Preferably, the step of obtaining a vehicle location map based on the current location of the vehicle communicatively connected to the ad hoc network locked by the ad hoc network and based on all the locations at the same time includes:
and acquiring the current position of the vehicle in communication connection, and calibrating based on the area to be constructed to obtain a vehicle position map.
Preferably, the comparing the vehicle location map with the network range map of the ad hoc network to obtain the location difference map includes:
comparing the vehicle location map with an ad hoc network range map for location overlap;
based on the comparison, determining that the vehicle location map is based on an unreasonable portion of the ad hoc network range map;
and obtaining a position difference map based on the unreasonable part.
Preferably, the determining the communication problem of the ad hoc network based on the communication time log corresponding to the time number and the communication space log corresponding to the space number includes:
acquiring a historical communication log of an area to be constructed, and determining the historical driving density of the area to be constructed at different moments based on the historical communication log;
based on the communication time log, acquiring a vehicle communication set for establishing communication connection with the self-organizing network at each moment in a preset time period;
constructing communication connection conditions of the same vehicle at different moments in the self-organizing network within a preset time period based on the communication space log to obtain a communication intensity-communication position array set;
pre-analyzing each communication intensity-communication position array in the communication intensity-communication position array set respectively, determining a corresponding communication sequence, and setting an array label to the communication sequence;
screening a prominent sequence and a stable sequence in a communication sequence corresponding to the same vehicle;
performing first determination on the first line section of the smooth sequence, performing second determination on the second line section of the enhanced communication of the salient sequence, and performing third determination on the third line section of the weakened communication of the salient sequence to obtain a communication driving line of the vehicle;
analyzing the line continuity of the communication driving line based on the area to be constructed, and calculating the communication effectiveness of the vehicle in the self-organizing network when the line continuity is continuous;
when the communication effectiveness is greater than the preset effectiveness, determining that the self-organizing network is qualified for monitoring the corresponding vehicle and marking each position point in the corresponding communication driving line;
otherwise, determining a communication connection density set corresponding to the communication driving route based on the vehicle communication set, and sequentially comparing the communication connection density set with the historical driving density of each position point in the corresponding time period;
when the density ratio of each position point in the corresponding communication driving route is within the preset ratio range, judging that the corresponding communication driving route is qualified, and performing qualified zero-adding marking on each position point in the corresponding communication driving route;
otherwise, performing unqualified minus one marking on each position point in the corresponding communication driving route, calibrating the corresponding communication driving route as unqualified communication, and performing significance calibration on the position points with the density ratio not within the preset ratio range to construct an abnormal communication area;
determining the last labeling result of each position point in the communication abnormal area based on the labeling result, and performing position division;
and determining the communication problem of the self-organizing network according to the division result.
Preferably, the verifying the communication problem based on the location difference map includes:
acquiring difference information of the position difference map, and analyzing the difference information according to preset indexes to obtain difference characteristics of the difference information based on each preset index;
the communication problem is verified based on each difference feature and the valid features that match the corresponding difference feature.
Preferably, according to the verification result, performing configuration update on the ad hoc network, including:
acquiring a first verification result of each difference feature on the communication problem, and acquiring a second verification result of the effective feature matched with the corresponding difference feature on the communication problem;
establishing a result difference between the first verification result and the second verification result;
if the result difference is consistent with the corresponding difference characteristic, the corresponding difference characteristic is reserved;
if the result difference is inconsistent with the corresponding difference characteristic, extracting current difference information of the result difference and the corresponding difference characteristic to optimize and reserve the corresponding difference characteristic;
based on the reserved features, calling and obtaining corresponding configuration information from a feature-configuration database, and analyzing the configuration information based on a file generation model to obtain a configuration file;
and transmitting the configuration file to a management platform of the ad hoc network to realize the configuration updating of the ad hoc network.
Preferably, the step of arranging the self-organizing network to the region to be constructed according to the region layout of the region to be constructed includes:
acquiring the road degree, the road width, the connection range of two ends of the road and the road interval of the adjacent network roads to be covered of each network road to be covered in the area layout;
analyzing the obtained result and the area to be constructed to determine a preliminary arrangement network;
and analyzing the road building attributes of each network road to be covered, and optimizing the preliminary arrangement network to obtain the self-organization network.
The invention provides a device for realizing a self-organizing network for traffic vehicle management and control, which comprises:
the number determining module is used for constructing a self-organizing network and determining a space number and a time number of the self-organizing network;
the position map building module is used for locking the current position of a vehicle which is in communication connection with the self-organization network based on the self-organization network and building a vehicle position map based on all positions at the same moment;
the difference map acquisition module is used for comparing the vehicle position map with a network range map of the self-organizing network to acquire a position difference map;
the problem verification module is used for determining the communication problem of the self-organizing network based on the communication time log corresponding to the time number and the communication space log corresponding to the space number and verifying the communication problem based on the position difference map;
and the configuration updating module is used for updating the configuration of the self-organizing network according to the verification result.
The invention provides a chip for realizing any one of the self-organizing networks for traffic vehicle management and control.
Compared with the prior art, the beneficial effects of this application are as follows:
the communication problem is verified by constructing an organization network, numbering space and time and comparing a network range diagram with a position diagram obtained by vehicle communication, so that the monitoring effectiveness of the self-organization network is effectively ensured.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of an implementation method of an ad hoc network for transportation vehicle management and control according to an embodiment of the present invention;
fig. 2 is a structural diagram of an implementation apparatus of an ad hoc network for transportation vehicle management and control according to an embodiment of the present invention;
FIG. 3 is a difference diagram between a network range diagram and a vehicle location diagram in an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The invention provides a method for implementing an ad hoc network for traffic vehicle management and control, as shown in fig. 1, comprising:
step 1: constructing a self-organizing network, and determining a space number and a time number of the self-organizing network;
step 2: locking the current position of a vehicle in communication connection with the self-organization network based on the self-organization network, and constructing and obtaining a vehicle position map based on all positions at the same moment;
and step 3: comparing the vehicle position map with a network range map of the self-organizing network to obtain a position difference map;
and 4, step 4: determining a communication problem of the self-organization network based on the communication time log corresponding to the time number and the communication space log corresponding to the space number, and verifying the communication problem based on the position difference graph;
and 5: and according to the verification result, updating the configuration of the self-organizing network.
In this embodiment, the ad hoc network is a network combining mobile communication and a computer network, and is a kind of mobile computer network, in which the user terminal can freely move and maintain communication, but there are cases where communication connection is strong or weak at different location points during movement, and therefore, a comparison between the vehicle location map and the network range map is performed.
In this embodiment, the spatial number is a setting of a position number of the ad hoc network according to the area road condition of the area a, and the time number is a setting of a time point number of the ad hoc network monitoring the area a at different time points.
In this embodiment, since the ad hoc network is an area a, if there is a communication connection between a vehicle and the ad hoc network in the area a, the vehicle position can be directly acquired to obtain a vehicle position map, and the vehicle position is monitored in real time based on the ad hoc network, for example, when the ad hoc network is in communication connection with the vehicles 1, 2, and 3 at time 1, the vehicle position map corresponding to the time can be acquired.
In this embodiment, since the corresponding vehicle location maps at different times are certainly not fully covered as the network-wide map, but only covered by some location points, as shown in fig. 3.
In this embodiment, corresponding logs of communication strength are obtained based on communication connection of the ad hoc network at different times, and after the communication connection is performed, a location log of a corresponding communication-connected vehicle is obtained, that is, by performing location positioning and determination of communication strength, it can be effectively determined whether a network signal of the ad hoc network can ensure effective monitoring of a vehicle traveling in the area, and the network determines whether the determined location deviates from a network coverage in the process of determining the location, thereby implementing configuration update of communication problems.
In the embodiment, in the process of verifying the communication problem through the position difference diagram, the communication position can be effectively verified and the communication time can be effectively verified, so that the configuration updating of the network is ensured.
In this embodiment, the configuration update is to further solve the communication problem existing in the network, so as to ensure the reliability of the corresponding network.
In this embodiment, the network range map is obtained by combining and unifying the time number and the space number.
The beneficial effects of the above technical scheme are: the communication problem is verified by constructing an organization network, numbering space and time and comparing a network range diagram with a position diagram obtained by vehicle communication, so that the monitoring effectiveness of the self-organization network is effectively ensured.
The invention provides a method for realizing a self-organizing network for traffic vehicle management and control, which constructs the self-organizing network and determines the space number and the time number of the self-organizing network, and comprises the following steps:
firstly determining the area boundary of a target area, and simultaneously, performing second determination on different area roads of the target area;
numbering position points based on the first determination result and the second determination result, and determining a region to be constructed according to the numbering result of the position points;
according to the area layout of the area to be constructed, arranging a self-organization network to the area to be constructed;
determining the self-organizing network to determine network coverage space points and network supervision time of each network coverage space point;
respectively matching with corresponding network coverage space points based on the position point numbers to obtain corresponding space numbers;
and meanwhile, matching the corresponding time number from the time number database based on the network supervision time length of each network coverage space point.
In this embodiment, for example, a target area exists, but various buildings, such as hospitals and office buildings, may exist in the target area, which are places where traffic control is not needed, and the traffic control is control of vehicles on a road, so that an area boundary and a road need to be determined to obtain an area to be constructed, that is, an area only for the road, and then a number of each location point in the area for the road may be determined to obtain the area to be constructed.
In this embodiment, the area layout refers to distribution and layout of roads in the area to be constructed, so that an ad hoc network is arranged in the area to be constructed, mainly to cover the area to be constructed, and network loss caused by full coverage of a target area can be effectively reduced.
In this embodiment, the supervision duration is mainly for supervision times on different roads, for example, the open period of road a is day 8:00-20:00, the road A is not opened at night, and at the moment, the road A only needs to be supervised in the open time period, and the supervision on the road A is stopped in the non-open time period, so that the loss is effectively reduced, and the inaccuracy of network problem determination is effectively reduced.
In this embodiment, the time length-number database is preset, and includes different supervision time lengths, position points corresponding to the supervision time lengths, and time numbers matched with the supervision time lengths and the positions, and is mainly used for unique identification.
The beneficial effects of the above technical scheme are: by determining the area boundary and the area road, the network arrangement of the area to be constructed is facilitated, the time and space numbering is carried out by monitoring the determination of the time and the position point, the follow-up verification on the communication problem is realized, and the reasonable configuration updating of the network is ensured.
The invention provides a method for realizing an ad hoc network for traffic vehicle management and control, which is used for locking the current position of a vehicle in communication connection with the ad hoc network based on the ad hoc network and constructing and obtaining a vehicle position map based on all positions at the same moment, and comprises the following steps:
and acquiring the current position of the vehicle in communication connection, and calibrating based on the area to be constructed to obtain a vehicle position map.
The beneficial effects of the above technical scheme are: and the vehicle position map is obtained through network positioning.
The invention provides a method for realizing a self-organizing network for traffic vehicle management and control, wherein a vehicle position map is compared with a network range map of the self-organizing network to obtain a position difference map, and the method comprises the following steps:
comparing the vehicle location map with an ad hoc network range map for location overlap;
based on the comparison, determining that the vehicle location map is based on an irrational portion of the ad hoc network range map;
and obtaining a position difference map based on the unreasonable part.
In this embodiment, a comparison of the vehicle location map with the network-wide map is shown in FIG. 3.
In this embodiment, the unreasonable portion means that the located vehicle position is not within the position included in the network-wide map, but is outside.
Due to the setting of the time numbers, the network range maps at different times may differ, so if the vehicle position map is compared with the corresponding network range map, it is assumed that the time points of both maps are at the same time.
The beneficial effects of the above technical scheme are: by carrying out position overlapping comparison, the position difference graph can be effectively obtained, and a basis is provided for subsequent verification.
The invention provides a method for realizing a self-organizing network for traffic vehicle management and control, which is used for determining the communication problem of the self-organizing network based on a communication time log corresponding to a time number and a communication space log corresponding to a space number, and comprises the following steps:
acquiring a historical communication log of an area to be constructed, and determining the historical driving density of the area to be constructed at different moments based on the historical communication log;
based on the communication time log, acquiring a vehicle communication set for establishing communication connection with the self-organizing network at each moment in a preset time period;
constructing communication connection conditions of the same vehicle at different moments in the self-organizing network within a preset time period based on the communication space log to obtain a communication intensity-communication position array set;
pre-analyzing each communication intensity-communication position array in the communication intensity-communication position array set respectively, determining a corresponding communication sequence, and setting an array label to the communication sequence;
screening a salient sequence and a stable sequence in a communication sequence corresponding to the same vehicle;
carrying out first determination on a first line section of the smooth sequence, carrying out second determination on a second line section of the outstanding sequence for strengthening communication and carrying out third determination on a third line section of the outstanding sequence for weakening communication to obtain a communication driving line of the vehicle;
analyzing the line continuity of the communication driving line based on the area to be constructed, and calculating the communication effectiveness of the vehicle in the self-organizing network when the line continuity is continuous;
when the communication effectiveness is greater than the preset effectiveness, determining that the self-organizing network is qualified for monitoring the corresponding vehicle and marking each position point in the corresponding communication driving line;
otherwise, determining a communication connection density set corresponding to the communication driving route based on the vehicle communication set, and sequentially comparing the communication connection density set with the historical driving density of each position point of the corresponding time period;
when the density ratio of each position point in the corresponding communication driving route is within the preset ratio range, judging that the corresponding communication driving route is qualified, and performing qualified zero-adding marking on each position point in the corresponding communication driving route;
otherwise, performing unqualified minus one marking on each position point in the corresponding communication driving route, calibrating the corresponding communication driving route as unqualified communication, and performing significance calibration on the position points with the density ratio not within the preset ratio range to construct an abnormal communication area;
determining the last labeling result of each position point in the communication abnormal area based on the labeling result, and performing position division;
and determining the communication problem of the self-organizing network according to the division result.
In this embodiment, the historical communication log refers to the vehicles and the positions of the vehicles which are in communication connection with the organization network historically, so as to determine the driving density at the same time for several days, and further determine a historical driving density corresponding to the time as a reference (except for special cases, such as road repair and the like, the corresponding density is proposed, and the remaining density is taken as a basis), that is, to ensure the reliability of the acquired historical driving density at the corresponding time.
In this embodiment, the preset time period refers to the first 10 minutes of the current day.
In this embodiment, the communication time log includes vehicles that are in communication connection at different times, for example, vehicles 1, 2, 3 that are in communication connection at time 1, vehicles 1, 2, 4 that are in communication connection at time 2, and so on, and further a vehicle communication set at each time is constructed, where the vehicle communication set is to determine the vehicle driving density, for example, at time 1, the network coverage at time 1 is determined first, then the vehicle position distribution at time 1 is determined, and finally the vehicle driving density at each time within 10 minutes can be determined on the basis of the two premises.
In this embodiment, the communication space log is related to the position of the vehicle communicating with the vehicle and the strength of the communication, so as to determine a set of communication strength-communication position arrays, where each array corresponds to a vehicle and the vehicle corresponds to the communication strength and the communication position.
In this embodiment, the pre-analysis is an analysis of the communication strength and the communication position in the corresponding array, and the database is a database of sequences matching the array of communication strength-communication position, and includes various different strength-position combinations and matching sequences, so that the communication sequence can be obtained and the array tag can be set on the sequence, mainly to ensure that the subsequent analysis provides a discrimination basis.
In this embodiment, the highlighted sequence refers to a suddenly enlarged or reduced sequence, for example, the communication sequence is: 1 1 2 5 6 2 1-1-3 in this case, 5, 6 can be regarded as a salient sequence, -1, -3 can be regarded as a salient sequence, and the former is a sequence that enhances communication, the latter is a sequence that weakens communication, and the remaining sequence is a stationary sequence.
In this embodiment, because there are tags in the sequence with respect to location, there may be line segments for different sequences, but again, there may be instances where the communication connection suddenly fails, and therefore, an analysis of the line continuity is performed.
In this embodiment, the communication effectiveness is mainly the communication condition of the corresponding driving route, that is, if the longer the third route segment of the highlighted sequence for weakening the communication, the lower the corresponding communication effectiveness, the following is calculated:
Figure 707577DEST_PATH_IMAGE001
wherein, the first and the second end of the pipe are connected with each other,
Figure 952613DEST_PATH_IMAGE002
indicating the length of the third line segment;
Figure 201192DEST_PATH_IMAGE003
representing the length of the first line segment;
Figure 160183DEST_PATH_IMAGE004
represents the length of the second line segment;
Figure 302452DEST_PATH_IMAGE005
representing the cumulative sum of the sequence of specially weakened communications in the highlighted sequence in the corresponding third line segment;
Figure 718389DEST_PATH_IMAGE006
representing all of the sequences of attenuated communications in the highlighted sequence in the corresponding third route segmentThe cumulative sum of (1);
Figure 188685DEST_PATH_IMAGE007
representing a validity adjustment factor for the third route segment;
Figure 715481DEST_PATH_IMAGE008
indicating the communication validity of the vehicle and in fact primarily related to the relevant sequence of attenuated communications.
In this embodiment, the preset validity is preset, and the value is generally 0.7.
In this embodiment, for example, for the existing line 1, if the monitoring is qualified, a label is added to each position point, and if the monitoring is not qualified, the connection density of each time point in a preset time period in the communication connection density set is compared with the historical driving density corresponding to the same historical time, and at this time, whether the connection density is qualified or not is determined according to the ratio, and if the connection density is qualified, a zero label is added to the corresponding position point.
In this embodiment, by adding one label, adding zero label, and subtracting one label, the label result of the corresponding location point can be effectively determined, and the label result of the corresponding communication line can be obtained conveniently.
In the embodiment, the whole communication condition of the area to be constructed can be obtained by carrying out digital marking and significance calibration on the communication driving route of each vehicle, and then the communication abnormal area is extracted and obtained.
In this embodiment, according to the labeling result and the calibration result, the division of the area may be effectively implemented to finally determine the communication problem existing in the same abnormal area, and particularly, in the process of comparing according to the density, it may be effectively determined that although the communication connection at the position is displayed normally, the last detected data is abnormal, that is, a part of the problems existing in the communication network, for example, by determining the labeling results at different position points, it may be effectively determined whether the corresponding area needs to strengthen the consideration of the communication strength and the like.
In this embodiment, the stationary sequence and the salient sequence in the same-i performance sequence are determined for the same vehicle.
The beneficial effects of the above technical scheme are: according to the space log, different communication sequences are convenient to determine, the effectiveness of communication is obtained by determining the running road sections of the same vehicle by the different sequences, and the problems of the communication network can be effectively determined by carrying out digital marking and significance marking on the position points, so that the adjustment reliability of the self-organization network is ensured.
The invention provides a method for realizing an ad hoc network for traffic vehicle management and control, which is used for verifying the communication problem based on a position difference graph and comprises the following steps:
acquiring difference information of the position difference map, and analyzing the difference information according to preset indexes to obtain difference characteristics of the difference information based on each preset index;
the communication problem is verified based on each difference characteristic.
In this embodiment, the difference information refers to a difference in position, for example, the preset index includes: the indexes 1, 2, and 3 are included, and the difference information is analyzed through the indexes 1, 2, and 3, respectively, to obtain the difference features, for example, the obtained difference features are 1, 2, and 3, at this time, the communication problem can be verified according to the difference features of the index differences corresponding to the same index.
In this embodiment, in the process of verifying the communication problem, it is mainly to determine whether the occurred communication problem is consistent with the position difference caused by the communication problem.
The beneficial effects of the above technical scheme are: by analyzing the difference information according to the preset indexes, the communication problem can be effectively verified according to the difference characteristics, and the rationality of processing the communication problem is ensured.
The invention provides a method for realizing a self-organizing network for traffic vehicle management and control, which comprises the following steps that according to a verification result, in the process of carrying out configuration updating on the self-organizing network:
acquiring a first verification result of each difference feature on the communication problem, and acquiring a second verification result of the effective feature matched with the corresponding difference feature on the communication problem;
establishing a result difference between the first verification result and the second verification result;
if the result difference is consistent with the corresponding difference feature, the corresponding difference feature is reserved;
if the result difference is inconsistent with the corresponding difference characteristic, extracting current difference information of the result difference and the corresponding difference characteristic to optimize and reserve the corresponding difference characteristic;
based on the reserved features, calling and obtaining corresponding configuration information from a feature-configuration database, and analyzing the configuration information based on a file generation model to obtain a configuration file;
and transmitting the configuration file to a management platform of the ad hoc network to realize the configuration updating of the ad hoc network.
In this embodiment, in the process of verifying the communication problem according to each difference feature, a corresponding valid feature may also exist in a preset index corresponding to the difference feature, and then the communication problem is verified according to the difference feature and the valid feature under the same index to determine a verification difference, that is, to further verify the corresponding difference feature according to the valid feature.
In this embodiment, the optimization of the difference features is mainly to achieve optimization according to difference information existing between the two, and further, retrieve configuration information from a database.
In this embodiment, the feature-configuration database includes different combined features and configuration information that matches the combined features.
In this embodiment, the file generation model is obtained by training the configuration information of different combinations and the files corresponding to the combination results, so that the configuration files can be obtained, and the configuration updated files are mainly configured for network problems, thereby ensuring the network communication rationality of the ad hoc network.
The beneficial effects of the above technical scheme are: through the verification of the communication problem according to the difference characteristic and the effective characteristic, the characteristics required to be used can be effectively reserved, finally, the configuration file is obtained, the reasonable updating configuration of the self-organizing network is realized, and the reasonability of the self-organizing network is ensured.
The invention provides a method for realizing a self-organizing network for traffic vehicle management and control, which arranges the self-organizing network to an area to be constructed according to the area layout of the area to be constructed, and comprises the following steps:
acquiring the road degree, the road width, the road two-end connection range and the road interval of the adjacent network roads to be covered of each network road to be covered in the area layout;
analyzing the obtained result and the area to be constructed to determine a preliminary arrangement network;
and analyzing the road building attributes of each network road to be covered, and optimizing the preliminary arrangement network to obtain the self-organization network.
In this embodiment, the network is initially arranged to reasonably cover the area to be constructed, and in the covering process, since different buildings, such as hospitals and schools, may exist around each road, network arrangement is not required, and the part of the covered network is removed in sequence, so that the network arrangement space is saved.
The beneficial effects of the above technical scheme are: by constructing a preliminary arrangement network and carrying out network optimization, the self-organization network can be effectively obtained.
The invention provides a device for realizing an ad hoc network for traffic vehicle management and control, as shown in fig. 2, comprising:
the number determining module is used for constructing a self-organizing network and determining a space number and a time number of the self-organizing network;
the position map building module is used for locking the current position of a vehicle in communication connection with the self-organization network based on the self-organization network and building a vehicle position map based on all positions at the same moment;
the difference map acquisition module is used for comparing the vehicle position map with a network range map of the self-organizing network to acquire a position difference map;
the problem verification module is used for determining the communication problem of the self-organizing network based on the communication time log corresponding to the time number and the communication space log corresponding to the space number and verifying the communication problem based on the position difference map;
and the configuration updating module is used for updating the configuration of the self-organizing network according to the verification result.
The beneficial effects of the above technical scheme are: the communication problem is verified by constructing an organization network, numbering space and time and comparing a network range diagram with a position diagram obtained by vehicle communication, so that the monitoring effectiveness of the self-organization network is effectively ensured.
The invention provides a chip for realizing any one of the realization methods of the self-organizing network for traffic vehicle management and control, which comprises the following steps:
step 1: constructing a self-organizing network, and determining a space number and a time number of the self-organizing network;
and 2, step: the current position of a vehicle in communication connection with the self-organization network is locked based on the self-organization network, and a vehicle position map is constructed based on all the positions at the same moment;
and step 3: comparing the vehicle position map with a network range map of the self-organizing network to obtain a position difference map;
and 4, step 4: determining a communication problem of the self-organizing network based on the communication time log corresponding to the time number and the communication space log corresponding to the space number, and verifying the communication problem based on the position difference graph;
and 5: and according to the verification result, updating the configuration of the self-organizing network.
In this embodiment, the chip may be implemented as a dual core chip, and the dual core chip refers to a chip including a DSP and an MCU, that is, a single core dual core, which may accelerate the speed of organizing a network and the stability of organizing a network, and provide powerful technical support for configuration and update of organizing a network.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (8)

1. An implementation method of an ad hoc network for traffic vehicle management and control is characterized by comprising the following steps:
step 1: constructing a self-organizing network, and determining a space number and a time number of the self-organizing network;
and 2, step: locking the current position of a vehicle in communication connection with the self-organization network based on the self-organization network, and constructing and obtaining a vehicle position map based on all positions at the same moment;
and 3, step 3: comparing the vehicle position map with a network range map of the self-organizing network to obtain a position difference map;
and 4, step 4: determining a communication problem of the self-organizing network based on the communication time log corresponding to the time number and the communication space log corresponding to the space number, and verifying the communication problem based on the position difference graph;
and 5: according to the verification result, updating the configuration of the self-organizing network;
determining a communication problem of the ad hoc network based on the communication time log corresponding to the time number and the communication space log corresponding to the space number, including:
acquiring a historical communication log of an area to be constructed, and determining the historical driving density of the area to be constructed at different moments based on the historical communication log;
based on the communication time log, acquiring a vehicle communication set for establishing communication connection with the self-organizing network at each moment in a preset time period;
constructing communication connection conditions of the same vehicle at different moments in the self-organizing network within a preset time period based on the communication space logs to obtain a communication strength-communication position array set;
pre-analyzing each communication intensity-communication position array in the communication intensity-communication position array set respectively, determining a corresponding communication sequence, and setting an array label to the communication sequence;
screening a salient sequence and a stable sequence in a communication sequence corresponding to the same vehicle;
carrying out first determination on a first line section of the smooth sequence, carrying out second determination on a second line section of the outstanding sequence for strengthening communication and carrying out third determination on a third line section of the outstanding sequence for weakening communication to obtain a communication driving line of the vehicle;
analyzing the line continuity of the communication driving line based on the area to be constructed, and when the line continuity is continuous, calculating the communication effectiveness of the vehicle in the self-organizing network;
when the communication effectiveness is greater than the preset effectiveness, determining that the self-organizing network is qualified for monitoring the corresponding vehicle and labeling each position point in the corresponding communication driving line;
otherwise, determining a communication connection density set corresponding to the communication driving route based on the vehicle communication set, and sequentially comparing the communication connection density set with the historical driving density of each position point of the corresponding time period;
when the density ratio of each position point in the corresponding communication driving route is within the preset ratio range, judging that the corresponding communication driving route is qualified, and performing qualified zero-adding marking on each position point in the corresponding communication driving route;
otherwise, performing unqualified minus one marking on each position point in the corresponding communication driving route, calibrating the corresponding communication driving route as unqualified communication, and performing significance calibration on the position points with the density ratio not within the preset ratio range to construct a communication abnormal area;
determining the last labeling result of each position point in the communication abnormal area based on the labeling result, and performing position division;
and determining the communication problem of the self-organizing network according to the division result.
2. The method of claim 1, wherein constructing an ad hoc network, determining a spatial number and a temporal number of the ad hoc network, comprises:
carrying out first determination on the area boundary of a target area, and simultaneously carrying out second determination on different area roads of the target area;
numbering position points based on the first determination result and the second determination result, and determining a region to be constructed according to the numbering result of the position points;
according to the area layout of the area to be constructed, arranging a self-organization network to the area to be constructed;
determining network coverage space points of the self-organizing network and network supervision duration of each network coverage space point;
respectively matching with corresponding network coverage space points based on the position point numbers to obtain corresponding space numbers;
and meanwhile, matching the corresponding time number from the time number-number database based on the network supervision time length of each network coverage space point.
3. The method of claim 1, wherein the step of constructing a vehicle location map based on all the locations at the same time comprises the steps of:
and acquiring the current position of the vehicle in communication connection, and calibrating based on the area to be constructed to obtain a vehicle position map.
4. The method according to claim 1, wherein comparing the vehicle location map with a network range map of the ad hoc network to obtain a location difference map comprises:
comparing the vehicle location map with an ad hoc network range map for location overlap;
based on the comparison, determining that the vehicle location map is based on an irrational portion of the ad hoc network range map;
and obtaining a position difference map based on the unreasonable part.
5. The method of claim 1, wherein verifying the communication problem based on the location discrepancy map comprises:
acquiring difference information of the position difference map, and analyzing the difference information according to preset indexes to obtain difference characteristics of the difference information based on each preset index;
the communication problem is verified based on each difference feature and the valid features that match the corresponding difference feature.
6. The method according to claim 5, wherein the configuration update of the ad hoc network according to the verification result includes:
acquiring a first verification result of each difference feature on the communication problem, and acquiring a second verification result of the effective feature matched with the corresponding difference feature on the communication problem;
establishing a result difference between the first verification result and the second verification result;
if the result difference is consistent with the corresponding difference feature, the corresponding difference feature is reserved;
if the result difference is inconsistent with the corresponding difference characteristic, extracting current difference information of the result difference and the corresponding difference characteristic to optimize and reserve the corresponding difference characteristic;
based on the reserved features, calling and obtaining corresponding configuration information from a feature-configuration database, and analyzing the configuration information based on a file generation model to obtain a configuration file;
and transmitting the configuration file to a management platform of the ad hoc network to realize the configuration updating of the ad hoc network.
7. The method according to claim 2, wherein the step of arranging the self-organizing network to the area to be constructed according to the area layout of the area to be constructed comprises:
acquiring the road degree, the road width, the road two-end connection range and the road interval of the adjacent network roads to be covered of each network road to be covered in the area layout;
analyzing the obtained result and the area to be constructed to determine a preliminary arrangement network;
and analyzing the road building attribute of each network road to be covered, and optimizing the preliminary arrangement network to obtain the self-organization network.
8. An apparatus for implementing an ad hoc network for transportation vehicle management and control, comprising:
the number determining module is used for constructing a self-organizing network and determining a space number and a time number of the self-organizing network;
the position map building module is used for locking the current position of a vehicle in communication connection with the self-organization network based on the self-organization network and building a vehicle position map based on all positions at the same moment;
the difference map acquisition module is used for comparing the vehicle position map with a network range map of the self-organization network to acquire a position difference map;
the problem verification module is used for determining the communication problem of the self-organizing network based on the communication time log corresponding to the time number and the communication space log corresponding to the space number and verifying the communication problem based on the position difference map;
the configuration updating module is used for updating the configuration of the self-organizing network according to the verification result;
wherein the problem validation module is to:
acquiring a historical communication log of an area to be constructed, and determining the historical driving density of the area to be constructed at different moments based on the historical communication log;
based on the communication time log, acquiring a vehicle communication set for establishing communication connection with the self-organizing network at each moment in a preset time period;
constructing communication connection conditions of the same vehicle at different moments in the self-organizing network within a preset time period based on the communication space log to obtain a communication intensity-communication position array set;
pre-analyzing each communication intensity-communication position array in the communication intensity-communication position array set respectively, determining a corresponding communication sequence, and setting an array label to the communication sequence;
screening a salient sequence and a stable sequence in a communication sequence corresponding to the same vehicle;
carrying out first determination on a first line section of the smooth sequence, carrying out second determination on a second line section of the outstanding sequence for strengthening communication and carrying out third determination on a third line section of the outstanding sequence for weakening communication to obtain a communication driving line of the vehicle;
analyzing the line continuity of the communication driving line based on the area to be constructed, and when the line continuity is continuous, calculating the communication effectiveness of the vehicle in the self-organizing network;
when the communication effectiveness is greater than the preset effectiveness, determining that the self-organizing network is qualified for monitoring the corresponding vehicle and marking each position point in the corresponding communication driving line;
otherwise, determining a communication connection density set corresponding to the communication driving route based on the vehicle communication set, and sequentially comparing the communication connection density set with the historical driving density of each position point in the corresponding time period;
when the density ratio of each position point in the corresponding communication driving route is within the preset ratio range, judging that the corresponding communication driving route is qualified, and performing qualified zero-adding marking on each position point in the corresponding communication driving route;
otherwise, performing unqualified minus one marking on each position point in the corresponding communication driving route, calibrating the corresponding communication driving route as unqualified communication, and performing significance calibration on the position points with the density ratio not within the preset ratio range to construct an abnormal communication area;
determining the last labeling result of each position point in the communication abnormal area based on the labeling result, and performing position division;
and determining the communication problem of the self-organizing network according to the division result.
CN202211101224.2A 2022-09-09 2022-09-09 Method, device and chip for realizing self-organizing network for traffic vehicle management and control Active CN115190426B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211101224.2A CN115190426B (en) 2022-09-09 2022-09-09 Method, device and chip for realizing self-organizing network for traffic vehicle management and control

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211101224.2A CN115190426B (en) 2022-09-09 2022-09-09 Method, device and chip for realizing self-organizing network for traffic vehicle management and control

Publications (2)

Publication Number Publication Date
CN115190426A CN115190426A (en) 2022-10-14
CN115190426B true CN115190426B (en) 2022-11-22

Family

ID=83524412

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211101224.2A Active CN115190426B (en) 2022-09-09 2022-09-09 Method, device and chip for realizing self-organizing network for traffic vehicle management and control

Country Status (1)

Country Link
CN (1) CN115190426B (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102711131A (en) * 2012-07-02 2012-10-03 厦门大学 User distribution density-based covering and capacity optimization method in long term evolution (LTE) network
CN107431527A (en) * 2015-07-10 2017-12-01 思科技术公司 Use autonomous vehicle closed-loop optimization wireless network
WO2022017626A1 (en) * 2020-07-24 2022-01-27 Telefonaktiebolaget Lm Ericsson (Publ) Trajectory based performance monitoring in a wireless communication network
CN114788350A (en) * 2019-10-16 2022-07-22 瑞典爱立信有限公司 Prediction algorithm for predicting location of user equipment for network optimization

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102711131A (en) * 2012-07-02 2012-10-03 厦门大学 User distribution density-based covering and capacity optimization method in long term evolution (LTE) network
CN107431527A (en) * 2015-07-10 2017-12-01 思科技术公司 Use autonomous vehicle closed-loop optimization wireless network
CN114788350A (en) * 2019-10-16 2022-07-22 瑞典爱立信有限公司 Prediction algorithm for predicting location of user equipment for network optimization
WO2022017626A1 (en) * 2020-07-24 2022-01-27 Telefonaktiebolaget Lm Ericsson (Publ) Trajectory based performance monitoring in a wireless communication network

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
自组织网络区域覆盖协作控制算法;刘大鹍等;《兵工学报》;20200630;第41卷(第6期);全文 *

Also Published As

Publication number Publication date
CN115190426A (en) 2022-10-14

Similar Documents

Publication Publication Date Title
CN108108825A (en) Finding method, server and the O&M end of fault car
US20070106784A1 (en) Systems, methods and apparatus to identify network maintenance zones
CN112215427A (en) Vehicle driving track reconstruction method and system under condition of bayonet data loss
CN113434619B (en) 4G expressway intelligent traffic road condition monitoring system
CN108200114A (en) Correlating method, system and its control system of facility information
CN111683134A (en) Distributed Internet of vehicles data transmission system and method based on block chain technology
CN110636515A (en) Network planning evaluation method of electric power wireless private network
CN107066500A (en) A kind of electrical network mass data quality indicator method based on PMS models
CN113868492A (en) Visual OD (origin-destination) analysis method based on electric police and checkpoint data and application
CN116523312A (en) Smart city data management method and system
CN115190426B (en) Method, device and chip for realizing self-organizing network for traffic vehicle management and control
CN116614177A (en) Optical fiber state multidimensional parameter monitoring system
CN111539551A (en) Driving destination address prediction method and device, computer equipment and storage medium
WO2019140553A1 (en) Method and device for determining health index of power distribution system and computer storage medium
CN115909734B (en) Vehicle driving data screening and updating system and method based on track big data
CN117151726A (en) Fault repairing method, repairing device, electronic equipment and storage medium
CN115620535B (en) Traffic signal lamp management method and system based on big data
CN116863723A (en) Use method of digital twin base
CN116846463A (en) GIS-based communication optical cable fault point positioning method and device
CN116258410A (en) Acquisition terminal provider evaluation method based on multiple evaluation indexes
CN113626170B (en) Control method and device for full life cycle of communication engineering task
CN110395199A (en) Detect the device and method of wheel alignment situation
CN111372270B (en) Method, device, equipment and medium for determining suspected fault cell
CN117474191B (en) GIS (geographic information system) inspection management method based on intelligent water meter, internet of things system and device
CN113678407A (en) Method for predicting signal quality and/or service quality and associated device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant