CN114844929A - Intelligent automobile communication method and system - Google Patents
Intelligent automobile communication method and system Download PDFInfo
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- CN114844929A CN114844929A CN202210776257.0A CN202210776257A CN114844929A CN 114844929 A CN114844929 A CN 114844929A CN 202210776257 A CN202210776257 A CN 202210776257A CN 114844929 A CN114844929 A CN 114844929A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
- H04L47/2425—Traffic characterised by specific attributes, e.g. priority or QoS for supporting services specification, e.g. SLA
- H04L47/2433—Allocation of priorities to traffic types
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
- H04L63/0442—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload wherein the sending and receiving network entities apply asymmetric encryption, i.e. different keys for encryption and decryption
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/0876—Network architectures or network communication protocols for network security for authentication of entities based on the identity of the terminal or configuration, e.g. MAC address, hardware or software configuration or device fingerprint
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/12—Applying verification of the received information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/12—Applying verification of the received information
- H04L63/123—Applying verification of the received information received data contents, e.g. message integrity
Abstract
The invention discloses an intelligent automobile communication method and system, which are applied to the technical field of intelligent automobiles.A cloud storage server receives first vehicle operation information, wherein the first vehicle operation information comprises running computer operation information, main controller operation information and sub-controller operation information; updating the first vehicle operation information according to the real-time operation state of the vehicle computer and the communication state of the vehicle computer and the main controller to generate second vehicle operation information, wherein the second vehicle operation information is subjected to data interaction among the vehicle computer, the main controller and the sub-controller; the cloud storage server judges whether information blockage occurs according to the updated first vehicle operation information; and adjusting the control priority of the traveling crane computer, the main controller and the sub-controller according to the information blocking condition. The invention can ensure smooth data transmission, and avoid the controller from being interfered by unnecessary information to cause garbage information blockage and network resource waste.
Description
Technical Field
The invention relates to the technical field of intelligent automobiles, in particular to an intelligent automobile communication method and system.
Background
With the increasing development of science and technology, automobiles play an increasingly important role in the life of people, and meanwhile, people also put higher demands on various performances of automobiles. In order to meet various requirements of people, automobiles gradually become intelligent, and various intelligent controllers are developed. Thus, the control system of the entire vehicle becomes more complicated, and the amount of data to be transmitted therein is also greatly increased.
Today, there are on average 25 electronic controllers on board each car, while in some high-end models the number of electronic controllers will typically exceed 100. Taking the driving assistance system as an example, in order to meet the functional requirements of future automatic driving, the automobile software system will bring more code amount and software package, and the operation and storage of the codes require larger storage space and stronger computing power. In order to avoid the vehicle-mounted network architecture from being more complicated, the existing and distributed small electronic controllers are integrated into a domain controller and an open type overall architecture is provided, which becomes the development trend of the current vehicle electronic system. The 'domain' is that the automobile electronic system is divided into a plurality of functional blocks according to functions, and in order to realize the interconversion of different vehicle-mounted network protocols and ensure the real-time performance and the integrity of message scheduling, the vehicle-mounted gateway is of great importance. The vehicular gateway is an important node for message transmission.
However, when the domain gateway sends a message, all domain gateways in the access ethernet will receive the message, so that some controllers that do not need to receive the message will also receive the message. The controller is interfered by unnecessary information, which causes the garbage information jam and the waste of network resources.
How to provide an intelligent automobile communication method and system for ensuring smooth data transmission is an urgent problem to be solved by technical personnel in the field.
Disclosure of Invention
In view of this, the present invention provides an intelligent vehicle communication method and system, which can ensure smooth data transmission, and avoid the controller from being interfered by unnecessary information, causing garbage information blockage and network resource waste.
In order to achieve the above purpose, the invention provides the following technical scheme:
an intelligent automobile communication method comprises the following specific steps:
the method comprises the steps that a cloud storage server receives first vehicle operation information, wherein the first vehicle operation information comprises running computer operation information, main controller operation information and sub-controller operation information;
updating the first vehicle operation information according to the real-time operation state of a vehicle computer and the communication state of the vehicle computer and a main controller to generate second vehicle operation information, wherein the second vehicle operation information is subjected to data interaction among the vehicle computer, the main controller and the sub-controller;
the cloud storage server judges whether information blockage occurs according to the updated first vehicle operation information; and adjusting the control priority of the traveling crane computer, the main controller and the sub-controllers according to the information blocking condition.
Optionally, in the above intelligent vehicle communication method, the data interaction of the second vehicle operation information among the driving computer, the main controller, and the sub-controller specifically includes the following steps:
determining a control chain according to the control relation among the traveling crane computer, the main controller and the sub-controllers;
the authentication center authenticates the network addresses of the driving computer, the main controller and the sub-controllers, and authorizes the driving computer, the main controller and the sub-controllers which pass the authentication;
after the traveling crane computer is authorized, acquiring a public key of the traveling crane computer, a private key of the traveling crane computer and a digital certificate of the traveling crane computer;
after the control network composed of the main controller and the sub-controllers is authorized, determining the authorized network as an authorized node in a control chain, and acquiring a network public key, a network private key and a network digital certificate;
the authorization node verifies the interactive information and returns reply information to the driving computer, wherein the reply information carries a network public key;
the vehicle computer encrypts interactive information through the network public key to obtain ciphertext data, the ciphertext data carries a timestamp, generates a corresponding ciphertext data digital signature, and uploads the ciphertext data, the ciphertext data digital signature and the vehicle computer digital certificate to the authorization node;
and the authorization node decrypts the ciphertext data through the network private key, verifies the integrity and the legality of the decrypted interactive information, and stores the interactive information into a memory of a corresponding controller if the interactive information passes the verification.
Optionally, in the above intelligent vehicle communication method, the step of adjusting the control priorities of the traveling computer, the main controller, and the sub-controllers according to the information congestion condition includes the following steps:
classifying transmission data into conventional data, emergency data and invalid data; wherein the emergency data is determined according to the priority of the main controller; invalid data is verified and eliminated through a control chain; putting the regular data into a queue behind the emergency data;
and adjusting the control relation among the controllers according to the working states of the controllers, and scheduling transmission data with different priorities, wherein the working states comprise busy or idle.
Optionally, in the above intelligent vehicle communication method, the specific step of judging whether the information congestion occurs according to the updated first vehicle operation information by the cloud storage server is as follows:
acquiring network performance parameters for representing network congestion conditions in a control network;
and inputting the network performance parameters into a pre-trained information blockage recognition model for recognition, and determining whether the control network is congested or not according to a recognition result output by the information blockage recognition model, wherein the information blockage recognition model is generated based on historical network performance parameters and information blockage results corresponding to the historical network performance parameters through training.
Optionally, in the above intelligent vehicle communication method, the method for constructing the information congestion identification model specifically includes the following steps:
acquiring a plurality of groups of historical network performance parameters of the control network and information blocking results corresponding to each group of historical network performance parameters;
dividing the multiple groups of historical network performance parameters into a training set and a verification set;
training and generating an information blockage recognition model to be detected based on the training set and information blockage results corresponding to each group of historical network performance parameters in the training set;
based on the verification set and information blockage results corresponding to each group of historical network performance parameters in the verification set, detecting the information blockage identification model to be detected to obtain the identification accuracy of the information blockage identification model to be detected;
and when the identification accuracy of the information blockage identification model to be detected is determined to be larger than a preset accuracy threshold value, determining the information blockage identification model to be detected as the information blockage identification model.
An intelligent automotive communication system, comprising:
the cloud storage server receives first vehicle operation information, wherein the first vehicle operation information comprises running computer operation information, main controller operation information and sub-controller operation information;
the updating module is used for updating the first vehicle operation information according to the real-time operation state of a vehicle computer and the communication state of the vehicle computer and a main controller to generate second vehicle operation information, and the second vehicle operation information is subjected to data interaction among the vehicle computer, the main controller and the sub-controller;
the cloud storage server judges whether information blockage occurs according to the updated first vehicle operation information; and adjusting the control priority of the traveling crane computer, the main controller and the sub-controllers according to the information blocking condition.
Optionally, in the foregoing intelligent vehicle communication system, the update module includes:
the control chain unit determines a control chain according to the control relation among the traveling crane computer, the main controller and the sub-controllers;
the authorization unit is used for authenticating the network address of the driving computer, the main controller and the sub-controller by the authentication center and authorizing the driving computer, the main controller and the sub-controller which pass the authentication;
the system comprises a first obtaining unit, a second obtaining unit and a third obtaining unit, wherein the driving computer obtains a driving computer public key, a driving computer private key and a driving computer digital certificate after authorization;
the second acquisition unit is used for determining a control network formed by the main controller and the sub-controllers as an authorization node in a control chain after authorization, and acquiring a network public key, a network private key and a network digital certificate;
the authorization node verifies the interaction information and returns reply information to the driving computer, wherein the reply information carries a network public key;
the vehicle computer encrypts interactive information through the network public key to obtain ciphertext data, the ciphertext data carries a timestamp, generates a corresponding ciphertext data digital signature, and uploads the ciphertext data, the ciphertext data digital signature and the vehicle computer digital certificate to the authorization node;
and the authorization node decrypts the ciphertext data through the network private key, verifies the integrity and the legality of the decrypted interactive information, and stores the interactive information into a memory of a corresponding controller if the decrypted interactive information passes the verification.
Optionally, in the foregoing intelligent vehicle communication system, the judging and scheduling module includes:
a classification unit classifying the transmission data into general data, urgent data and invalid data; wherein the emergency data is determined according to the priority of the main controller; invalid data is verified and eliminated through a control chain; putting the regular data into a queue behind the emergency data;
and the scheduling unit is used for adjusting the control relation among the controllers according to the working states of the controllers and scheduling the transmission data with different priorities, wherein the working states comprise busy or idle states.
Optionally, in the foregoing intelligent vehicle communication system, the judging and scheduling module further includes:
the network performance parameter acquisition unit is used for acquiring network performance parameters for representing information blocking conditions in the control network;
and the training unit is used for inputting the network performance parameters into a pre-trained information blockage recognition model for recognition, and determining whether the control network is congested or not according to a recognition result output by the information blockage recognition model, wherein the information blockage recognition model is generated based on historical network performance parameters and information blockage results corresponding to the historical network performance parameters through training.
Optionally, in the above intelligent vehicle communication system, the training unit includes:
the historical parameter subunit is used for acquiring a plurality of groups of historical network performance parameters of the control network and information blocking results corresponding to each group of historical network performance parameters;
a data set dividing subunit, which divides the multiple groups of historical network performance parameters into a training set and a verification set;
the training subunit is used for training and generating an information blockage recognition model to be detected based on the training set and information blockage results corresponding to each group of historical network performance parameters in the training set;
the verification subunit is used for verifying the information blockage identification model to be detected based on the verification set and information blockage results corresponding to each group of historical network performance parameters in the verification set to obtain the identification accuracy of the information blockage identification model to be detected;
and the generation subunit determines the information blockage identification model to be detected as the information blockage identification model when determining that the identification accuracy of the information blockage identification model to be detected is greater than a preset accuracy threshold value.
According to the technical scheme, compared with the prior art, the invention discloses an intelligent automobile communication method and system, firstly, invalid data is removed by acquiring the data interaction condition among a traveling computer, a main controller and a sub-controller in real time, and data accumulation is reduced from the starting point of data transmission; then judging whether data blockage occurs according to historical data interaction conditions; when data blocking occurs, calling among peer controllers is considered preferentially, and if the calling cannot be realized (the peer controllers are in a busy state), the cloud storage server is called for processing; and finally, processing the emergency data preferentially according to the preset classification of the transmission data. On the premise of not increasing other devices, smooth data transmission is ensured, and the phenomena that the controller is interfered by unnecessary information to cause garbage information blockage and network resource waste are avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a method of the present invention;
FIG. 2 is a block diagram of the controller of the present invention;
FIG. 3 is a flow chart of data interaction of the present invention;
FIG. 4 is a control priority flow diagram of the present invention;
FIG. 5 is a flow chart of information blocking according to the present invention;
FIG. 6 is a flow chart of a method for constructing an information blockage recognition model according to the present invention;
fig. 7 is a block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses an intelligent automobile communication method and system, firstly, invalid data is eliminated by acquiring data interaction conditions among a traveling computer, a main controller and a sub-controller in real time, and data accumulation is reduced from a starting point of data transmission; then judging whether data blockage occurs according to historical data interaction conditions; when data blocking occurs, calling among peer controllers is considered preferentially, and if the calling cannot be realized (the peer controllers are in a busy state), the cloud storage server is called for processing; and finally, processing the emergency data preferentially according to the preset classification of the transmission data. On the premise of not increasing other devices, smooth data transmission is ensured, and the phenomena that the controller is interfered by unnecessary information to cause garbage information blockage and network resource waste are avoided.
Embodiment 1 discloses an intelligent automobile communication method, as shown in fig. 1, comprising the following specific steps:
s101, a cloud storage server receives first vehicle operation information, wherein the first vehicle operation information comprises running computer operation information, main controller operation information and sub-controller operation information;
specifically, as shown in fig. 2, the traveling computer acquires operation information of a master controller (an engine electric controller, a power transmission electric controller, a brake controller, a steering controller, a traveling controller, a safety electric controller, a comfort electric controller, a multimedia communication controller);
and operation information of each sub-controller;
s102, updating the first vehicle operation information according to the real-time operation state of the vehicle computer and the communication state of the vehicle computer and the main controller to generate second vehicle operation information, wherein the second vehicle operation information is subjected to data interaction among the vehicle computer, the main controller and the sub-controllers;
specifically, when an emergency occurs, such as braking is needed, the anti-lock controller detects the rotating speed of each wheel through a rotating speed sensor arranged on each wheel or a transmission shaft, calculates the wheel slip rate, compares the wheel slip rate with an ideal slip rate, makes a decision of increasing or decreasing the brake pressure of the brake, and commands the actuating mechanism to adjust the brake pressure in time so as to keep the wheel in an ideal braking state, namely, the wheel can be always braked in a rolling state with weak slip without locking.
If the four tires are attached to the ground under different conditions and the four wheels have different friction forces with the ground, the electronic braking force distribution controller is easy to generate phenomena of slipping, inclining, rollover and the like during braking (the four wheels have the same braking force), and the braking force under different conditions is distributed through the electronic braking force distribution controller; at the moment of braking of the automobile, the friction force values of the four tires caused by different attachments are calculated at a high speed, and then a braking device is adjusted to adjust the four tires at a high speed in motion according to a set program, so that the matching of braking force and friction force (traction force) is achieved, and the stability and safety of the automobile are ensured. The system can greatly improve the braking performance by matching with the ABS.
The complete function and the expansion of the anti-skid controller are the drive anti-skid controller, and the two systems have a plurality of common components. The controller senses whether the drive wheels are slipping by using speed sensors on the drive wheels, and when slipping, the control element reduces the speed by braking or by using an accelerator so that the control element does not slip. The speed regulator can improve the longitudinal adhesion between the wheels and the road surface, provide the maximum driving force, improve the safety and maintain the running direction stability of the automobile when the speed changes sharply in starting and bending.
The vehicle body stability controller can recognize the unstable state of the vehicle and carry out control on a braking system, an engine management system and a transmission management system so as to make up the sliding of the vehicle in a targeted manner and prevent the vehicle from sliding out of a lane.
The electronic parking controller is a technology for integrating temporary braking in the driving process and long-term braking after parking and realizing parking braking in an electronic control mode. The parking brake technology is realized by an electronic control mode, the working principle of the parking brake technology is the same as that of a mechanical parking brake, and a rear wheel brake shoe is tensioned by an inhaul cable to brake. The other type is to use an electronic mechanical caliper to clamp a brake pad through a motor to generate braking force so as to achieve the purpose of controlling parking brake. Extending from a basic parking function to an AUTO HOLD function (AUTO HOLD). The application of the automatic parking function technology enables a driver to avoid long-time braking when the vehicle stops, and can avoid unnecessary sliding of the vehicle under the condition of starting the automatic electronic parking braking, namely the vehicle does not slide backwards.
S103, the cloud storage server judges whether information blockage occurs according to the updated first vehicle operation information; and adjusting the control priority of the traveling crane computer, the main controller and the sub-controller according to the information blocking condition.
Further, the brake controller uniformly coordinates the plurality of sub-controllers, and when data blockage occurs, for example, a vehicle body stabilization request sent by the vehicle body stabilization controller cannot be processed in time, the data blockage can be processed by the cloud storage server, or the request data of the plurality of sub-controllers is divided into conventional data, emergency data and invalid data, and the requests are prioritized to process the emergency data preferentially;
in S102, as shown in fig. 3, the data interaction of the second vehicle operation information among the driving computer, the main controller, and the sub-controller includes the following steps:
s1021, determining a control chain according to the control relation among the traveling crane computer, the main controller and the sub-controllers;
s1022 the authentication center authenticates the network addresses of the traveling crane computer, the main controller and the sub-controllers, and authorizes the traveling crane computer, the main controller and the sub-controllers which pass the authentication;
s1023, after the vehicle computer is authorized, acquiring a public key of the vehicle computer, a private key of the vehicle computer and a digital certificate of the vehicle computer;
s1024, after authorization of a control network formed by the main controller and the sub-controllers, determining the control network as an authorization node in a control chain, and acquiring a network public key, a network private key and a network digital certificate;
s1025 authorizes the node to verify the interactive information and returns reply information to the traveling computer, wherein the reply information carries the network public key;
s1026, the vehicle computer encrypts the interactive information through the network public key to obtain ciphertext data, the ciphertext data carries a timestamp, a corresponding ciphertext data digital signature is generated, and the ciphertext data, the ciphertext data digital signature and the vehicle computer digital certificate are uploaded to an authorization node;
s1027 the authorization node decrypts the ciphertext data through the network private key, verifies the integrity and validity of the decrypted interactive information, and stores the interactive information into a memory of the corresponding controller if the integrity and validity of the decrypted interactive information pass the verification.
In S103, as shown in fig. 4, the specific steps of adjusting the control priorities of the traveling computer, the main controller, and the sub-controllers according to the information congestion situation are as follows:
s1031 classifies the transmission data into conventional data, emergency data and invalid data; wherein the emergency data is determined according to the priority of the main controller; invalid data is verified and eliminated through a control chain; putting the regular data into a queue behind the emergency data;
s1032 adjusts the control relationship between the controllers according to the working states of the controllers, and schedules transmission data with different priorities, wherein the working states comprise busy or idle.
In S103, as shown in fig. 5, the specific steps of the cloud storage server determining whether an information jam occurs according to the updated first vehicle operation information are as follows:
s1033, acquiring network performance parameters for representing network congestion conditions in the control network;
s1034, inputting the network performance parameters into a pre-trained information blockage recognition model for recognition, and determining whether the control network is blocked according to a recognition result output by the information blockage recognition model, wherein the information blockage recognition model is generated based on historical network performance parameters and information blockage results corresponding to the historical network performance parameters through training.
As shown in fig. 6, the information blockage identification model construction method specifically includes the following steps:
s1036, acquiring a plurality of groups of historical network performance parameters of the control network and information blocking results corresponding to each group of historical network performance parameters;
s1037, dividing a plurality of groups of historical network performance parameters into a training set and a verification set;
s1038, training and generating an information blockage recognition model to be detected based on the training set and information blockage results corresponding to each group of historical network performance parameters in the training set;
s1039, based on the verification set and the information blockage results corresponding to each group of historical network performance parameters in the verification set, the information blockage identification model to be detected is detected, and the identification accuracy of the information blockage identification model to be detected is obtained;
s1040, when the identification accuracy of the information blockage identification model to be detected is larger than the preset accuracy threshold, the information blockage identification model to be detected is determined as the information blockage identification model.
Embodiment 2 discloses an intelligent vehicle communication system, as shown in fig. 7, including:
the cloud storage server receives first vehicle operation information, wherein the first vehicle operation information comprises running computer operation information, main controller operation information and sub-controller operation information;
the updating module is used for updating the first vehicle operation information according to the real-time operation state of the running computer and the communication state of the running computer and the main controller to generate second vehicle operation information, and the second vehicle operation information is subjected to data interaction among the running computer, the main controller and the sub-controllers;
the judging and scheduling module is used for judging whether information blockage occurs or not according to the updated first vehicle operation information by the cloud storage server; and adjusting the control priority of the traveling crane computer, the main controller and the sub-controller according to the information blocking condition.
In order to further optimize the above technical solution, the update module includes:
the control chain unit determines a control chain according to the control relation among the traveling crane computer, the main controller and the sub-controllers;
the authorization unit is used for authenticating the network address of the driving computer, the main controller and the sub-controller by the authentication center and authorizing the driving computer, the main controller and the sub-controller which pass the authentication;
the system comprises a first obtaining unit, a second obtaining unit and a third obtaining unit, wherein the first obtaining unit is used for obtaining a public key of a traveling crane computer, a private key of the traveling crane computer and a digital certificate of the traveling crane computer after the traveling crane computer is authorized;
the second acquisition unit is used for determining a control network formed by the main controller and the sub-controllers as an authorization node in a control chain after authorization, and acquiring a network public key, a network private key and a network digital certificate;
the first verification unit is used for verifying the interactive information by the authorization node and returning reply information to the traveling computer, wherein the reply information carries a network public key;
the encryption unit is used for encrypting the interactive information through the network public key by the vehicle computer to obtain ciphertext data, the ciphertext data carries a time stamp, a corresponding ciphertext data digital signature is generated, and the ciphertext data, the ciphertext data digital signature and the vehicle computer digital certificate are uploaded to the authorization node;
and the second verification unit is used for decrypting the ciphertext data through the network private key by the authorization node, verifying the integrity and the legality of the decrypted interactive information, and storing the interactive information into a memory of the corresponding controller if the decrypted interactive information passes the verification.
In order to further optimize the above technical solution, the judging and scheduling module includes:
a classification unit classifying the transmission data into regular data, urgent data and invalid data; wherein the emergency data is determined according to the priority of the main controller; invalid data is verified and eliminated through a control chain; putting the regular data into a queue behind the emergency data;
and the scheduling unit is used for adjusting the control relation among the controllers according to the working states of the controllers and scheduling the transmission data with different priorities, wherein the working states comprise busy or idle states.
Optionally, in the foregoing intelligent vehicle communication system, the judging and scheduling module further includes:
the network performance parameter acquisition unit is used for acquiring network performance parameters for representing information blocking conditions in the control network;
and the training unit is used for inputting the network performance parameters into a pre-trained information blockage recognition model for recognition, and determining whether the control network is congested or not according to a recognition result output by the information blockage recognition model, wherein the information blockage recognition model is generated based on historical network performance parameters and information blockage results corresponding to the historical network performance parameters through training.
In order to further optimize the above technical solution, the training unit comprises:
the historical parameter subunit is used for acquiring a plurality of groups of historical network performance parameters of the control network and information blocking results corresponding to each group of historical network performance parameters;
a data set dividing subunit, which divides a plurality of groups of historical network performance parameters into a training set and a verification set;
the training subunit is used for training and generating an information blockage recognition model to be detected based on the training set and information blockage results corresponding to each group of historical network performance parameters in the training set;
the verification subunit is used for verifying the information blockage identification model to be detected based on the verification set and the information blockage results corresponding to each group of historical network performance parameters in the verification set to obtain the identification accuracy of the information blockage identification model to be detected;
and the generation subunit determines the information blockage identification model to be detected as the information blockage identification model when the identification accuracy of the information blockage identification model to be detected is determined to be greater than a preset accuracy threshold.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An intelligent automobile communication method is characterized by comprising the following specific steps:
the method comprises the steps that a cloud storage server receives first vehicle operation information, wherein the first vehicle operation information comprises running computer operation information, main controller operation information and sub-controller operation information;
updating the first vehicle operation information according to the real-time operation state of a vehicle computer and the communication state of the vehicle computer and a main controller to generate second vehicle operation information, wherein the second vehicle operation information is subjected to data interaction among the vehicle computer, the main controller and the sub-controller;
the cloud storage server judges whether information blockage occurs according to the updated first vehicle operation information; and adjusting the control priority of the traveling crane computer, the main controller and the sub-controllers according to the information blocking condition.
2. The intelligent vehicle communication method according to claim 1, wherein the data interaction of the second vehicle operation information among the vehicle computer, the main controller and the sub-controller comprises the following specific steps:
determining a control chain according to the control relation among the traveling crane computer, the main controller and the sub-controllers;
the authentication center authenticates the network addresses of the driving computer, the main controller and the sub-controllers, and authorizes the driving computer, the main controller and the sub-controllers which pass the authentication;
after the traveling crane computer is authorized, acquiring a public key of the traveling crane computer, a private key of the traveling crane computer and a digital certificate of the traveling crane computer;
after the control network composed of the main controller and the sub-controllers is authorized, determining the authorized network as an authorized node in a control chain, and acquiring a network public key, a network private key and a network digital certificate;
the authorization node verifies the interactive information and returns reply information to the driving computer, wherein the reply information carries a network public key;
the vehicle computer encrypts interactive information through the network public key to obtain ciphertext data, the ciphertext data carries a timestamp, generates a corresponding ciphertext data digital signature, and uploads the ciphertext data, the ciphertext data digital signature and the vehicle computer digital certificate to the authorization node;
and the authorization node decrypts the ciphertext data through the network private key, verifies the integrity and the legality of the decrypted interactive information, and stores the interactive information into a memory of a corresponding controller if the interactive information passes the verification.
3. The intelligent automobile communication method according to claim 2, wherein the specific steps of adjusting the control priorities of the traveling computer, the main controller and the sub-controllers according to the information jam condition are as follows:
classifying transmission data into conventional data, emergency data and invalid data; wherein the emergency data is determined according to the priority of the main controller; invalid data is verified and eliminated through a control chain; putting the regular data into a queue behind the emergency data;
and adjusting the control relation among the controllers according to the working states of the controllers, and scheduling transmission data with different priorities, wherein the working states comprise busy or idle.
4. The intelligent vehicle communication method according to claim 1,
the specific steps of judging whether information jam occurs or not by the cloud storage server according to the updated first vehicle operation information are as follows:
acquiring network performance parameters for representing network congestion conditions in a control network;
and inputting the network performance parameters into a pre-trained information blockage recognition model for recognition, and determining whether the control network is congested or not according to a recognition result output by the information blockage recognition model, wherein the information blockage recognition model is generated based on historical network performance parameters and information blockage results corresponding to the historical network performance parameters through training.
5. The intelligent vehicle communication method according to claim 4,
the method for constructing the information blockage recognition model comprises the following specific steps:
acquiring a plurality of groups of historical network performance parameters of the control network and information blocking results corresponding to each group of historical network performance parameters;
dividing the multiple groups of historical network performance parameters into a training set and a verification set;
training and generating an information blockage recognition model to be detected based on the training set and information blockage results corresponding to each group of historical network performance parameters in the training set;
based on the verification set and information blockage results corresponding to each group of historical network performance parameters in the verification set, detecting the information blockage identification model to be detected to obtain the identification accuracy of the information blockage identification model to be detected;
and when the identification accuracy of the information blockage identification model to be detected is determined to be larger than a preset accuracy threshold value, determining the information blockage identification model to be detected as the information blockage identification model.
6. An intelligent automotive communication system, comprising:
the cloud storage server receives first vehicle operation information, wherein the first vehicle operation information comprises running computer operation information, main controller operation information and sub-controller operation information;
the updating module is used for updating the first vehicle operation information according to the real-time operation state of a vehicle computer and the communication state of the vehicle computer and a main controller to generate second vehicle operation information, and the second vehicle operation information is subjected to data interaction among the vehicle computer, the main controller and the sub-controller;
the cloud storage server judges whether information blockage occurs according to the updated first vehicle operation information; and adjusting the control priority of the traveling crane computer, the main controller and the sub-controllers according to the information blocking condition.
7. The intelligent vehicle communication system of claim 6, wherein the update module comprises:
the control chain unit determines a control chain according to the control relation among the traveling crane computer, the main controller and the sub-controllers;
the authorization unit is used for authenticating the network address of the driving computer, the main controller and the sub-controller by the authentication center and authorizing the driving computer, the main controller and the sub-controller which pass the authentication;
the system comprises a first obtaining unit, a second obtaining unit and a third obtaining unit, wherein the driving computer obtains a driving computer public key, a driving computer private key and a driving computer digital certificate after authorization;
the second acquisition unit is used for determining a control network formed by the main controller and the sub-controllers as an authorization node in a control chain after authorization, and acquiring a network public key, a network private key and a network digital certificate;
the authorization node verifies the interaction information and returns reply information to the driving computer, wherein the reply information carries a network public key;
the vehicle computer encrypts interactive information through the network public key to obtain ciphertext data, the ciphertext data carries a timestamp, generates a corresponding ciphertext data digital signature, and uploads the ciphertext data, the ciphertext data digital signature and the vehicle computer digital certificate to the authorization node;
and the authorization node decrypts the ciphertext data through the network private key, verifies the integrity and the validity of the decrypted interactive information, and stores the interactive information into a memory of a corresponding controller if the integrity and the validity of the decrypted interactive information pass the verification.
8. The intelligent vehicle communication system of claim 7, wherein the determining and scheduling module comprises:
a classification unit classifying the transmission data into general data, urgent data and invalid data; wherein the emergency data is determined according to the priority of the main controller; invalid data is verified and eliminated through a control chain; putting the regular data into a queue behind the emergency data;
and the scheduling unit is used for adjusting the control relation among the controllers according to the working states of the controllers and scheduling the transmission data with different priorities, wherein the working states comprise busy or idle states.
9. The intelligent vehicle communication system of claim 6,
the judging and scheduling module further comprises:
the network performance parameter acquisition unit is used for acquiring network performance parameters for representing information blocking conditions in the control network;
and the training unit is used for inputting the network performance parameters into a pre-trained information blockage recognition model for recognition, and determining whether the control network is congested or not according to a recognition result output by the information blockage recognition model, wherein the information blockage recognition model is generated based on historical network performance parameters and information blockage results corresponding to the historical network performance parameters through training.
10. The intelligent vehicle communication system of claim 9, wherein the training unit comprises:
the historical parameter subunit is used for acquiring a plurality of groups of historical network performance parameters of the control network and information blocking results corresponding to each group of historical network performance parameters;
a data set dividing subunit, which divides the multiple groups of historical network performance parameters into a training set and a verification set;
the training subunit is used for training and generating an information blockage recognition model to be detected based on the training set and information blockage results corresponding to each group of historical network performance parameters in the training set;
the verification subunit is used for verifying the information blockage identification model to be detected based on the verification set and information blockage results corresponding to each group of historical network performance parameters in the verification set to obtain the identification accuracy of the information blockage identification model to be detected;
and the generation subunit determines the information blockage identification model to be detected as the information blockage identification model when determining that the identification accuracy of the information blockage identification model to be detected is greater than a preset accuracy threshold value.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108093027A (en) * | 2017-11-22 | 2018-05-29 | 余仪琳 | A kind of traffic congestion based on Internet of Things solves method |
| CN110691035A (en) * | 2019-10-17 | 2020-01-14 | 北京达佳互联信息技术有限公司 | Method and device for determining network congestion, electronic equipment and storage medium |
| CN110816551A (en) * | 2019-11-28 | 2020-02-21 | 广东新时空科技股份有限公司 | Vehicle transportation safety initiative prevention and control system |
| CN114599064A (en) * | 2020-12-04 | 2022-06-07 | 花瓣云科技有限公司 | Network acceleration method, storage medium, device and system |
-
2022
- 2022-07-04 CN CN202210776257.0A patent/CN114844929A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108093027A (en) * | 2017-11-22 | 2018-05-29 | 余仪琳 | A kind of traffic congestion based on Internet of Things solves method |
| CN110691035A (en) * | 2019-10-17 | 2020-01-14 | 北京达佳互联信息技术有限公司 | Method and device for determining network congestion, electronic equipment and storage medium |
| CN110816551A (en) * | 2019-11-28 | 2020-02-21 | 广东新时空科技股份有限公司 | Vehicle transportation safety initiative prevention and control system |
| CN114599064A (en) * | 2020-12-04 | 2022-06-07 | 花瓣云科技有限公司 | Network acceleration method, storage medium, device and system |
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