CN117119446B - Vehicle positioning optimization management method based on vehicle-mounted central security gateway - Google Patents

Vehicle positioning optimization management method based on vehicle-mounted central security gateway Download PDF

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CN117119446B
CN117119446B CN202311370520.7A CN202311370520A CN117119446B CN 117119446 B CN117119446 B CN 117119446B CN 202311370520 A CN202311370520 A CN 202311370520A CN 117119446 B CN117119446 B CN 117119446B
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transport
transport vehicle
topology
group
vehicles
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CN117119446A (en
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卢俊杰
李松
白相泽
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Shenzhen Ginwave Technologies Co ltd
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Shenzhen Ginwave Technologies Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/03Protecting confidentiality, e.g. by encryption
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/04Key management, e.g. using generic bootstrapping architecture [GBA]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/12Detection or prevention of fraud
    • H04W12/126Anti-theft arrangements, e.g. protection against subscriber identity module [SIM] cloning
    • 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]
    • H04W4/44Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]

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  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Traffic Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a vehicle positioning optimization management method based on a vehicle-mounted central security gateway, which relates to the technical field of vehicle-mounted equipment security.

Description

Vehicle positioning optimization management method based on vehicle-mounted central security gateway
Technical Field
The invention relates to the technical field of vehicle-mounted equipment safety, in particular to a vehicle positioning optimization management method based on a vehicle-mounted central safety gateway.
Background
The principle of the vehicle-mounted security gateway is to connect various systems inside the vehicle to a central controller, and to protect the various systems through the central controller. Meanwhile, the vehicle-mounted safety gateway can also monitor the vehicle in real time, and once an abnormal situation is found, an alarm is immediately sent out and corresponding measures are taken. In addition, the vehicle-mounted security gateway can encrypt the data of the vehicle to prevent hacking and information leakage;
the existing vehicle positioning optimization management method based on the vehicle-mounted central security gateway is characterized in that for all transport vehicles in a transport vehicle group, positioning is carried out on the basis of each transport vehicle in the transport vehicle group, in order to ensure the safety of positioning information of each transport vehicle group, the vehicle-mounted central security gateway is mounted in each transport vehicle group to ensure the safety of information in the transport vehicle, and in order to enable a transport monitoring platform to master the position information of the transport vehicle in real time, each transport vehicle establishes a communication link with the transport monitoring platform;
in order to solve the above problems, the present invention proposes a solution.
Disclosure of Invention
The invention aims to provide a vehicle positioning optimization management method based on a vehicle-mounted central security gateway, which aims to solve the problems that in the prior art, as all transport vehicles in a transport vehicle group travel along with the vehicle, each transport vehicle does not need to communicate with a transport monitoring platform, so that the connection resources of the transport monitoring platform are excessively occupied, the storage and the acquisition of transport data in the transport vehicle are protected safely by the vehicle-mounted central security gateway, and then the transport vehicle and the transport monitoring platform are still transmitted in an encrypted manner by adopting a single key for the security of the transport vehicle and the transport monitoring platform, and the transport vehicle is unsafe;
the aim of the invention can be achieved by the following technical scheme:
the vehicle positioning optimization management method based on the vehicle-mounted central security gateway comprises the following steps:
step one: the method comprises the steps that a preparation acquisition module acquires identity information data of drivers of all transport vehicles in a transport vehicle group to be started currently, wherein the identity information data of the drivers comprise driving evaluation values of the drivers, and the transport vehicles in the transport vehicle group are provided with a vehicle-mounted central security gateway;
step two: the communication module builds network topology for the current transport vehicle set to be started, and establishes network connection, the communication module comprises a topology generation unit and a network connection unit, the topology generation unit lays out the network topology of the current transport vehicle set to be started according to a certain layout generation rule to generate network topology data of the current transport vehicle set to be started, and the network topology data of the current transport vehicle set to be started comprises topology node values of all the transport vehicles marked as a preparation topology master node, a preparation topology auxiliary node and a topology master node in the current transport vehicle set to be started;
step three: the network connection unit takes the transport vehicles marked as topology main nodes in the network topology data of the transport vehicle group to be started currently as intra-group terminals, takes all other transport vehicles as intra-group sub-terminals, and actively sends out a link request by the intra-group terminals and establishes network links with all the intra-group sub-terminals;
step four: the transportation collection module collects movement information data of all transportation vehicles in the transportation vehicle group in the driving process, wherein the movement information data of the transportation vehicles comprise license plates, real-time longitude and latitude and real-time speed of the transportation vehicles;
step five: the outside protection module performs outside protection on the motion information data of all transport vehicles in the transport vehicle group transmitted to the transport monitoring platform, and generates an outside ciphertext sequence of all vehicles in the transport vehicle group at the current moment according to a certain outside protection generation rule based on the motion information data of all transport vehicles in the transport vehicle group at the previous moment and transmits the outside ciphertext sequence to the transport monitoring platform;
step six: the transportation monitoring platform decrypts the external ciphertext sequences of all transportation vehicles in the transportation vehicle group in the driving process, obtains the movement information data of all transportation vehicles in the transportation vehicle group in the driving process, stores the movement information data, maps the movement information data onto a monitoring screen, and provides the movement information data for staff of the transportation monitoring platform to check;
step seven: the data analysis module periodically analyzes the motion information data of the transport vehicles in all the transport vehicle groups stored in the transport monitoring platform, and obtains driving evaluation values of all drivers in the period.
Further, the specific layout generation rule for generating the network topology data of the transport vehicle group to be started currently by the topology generation unit layout is as follows:
s11: obtaining driving evaluation values of all drivers carried in identity information data of all drivers of the transport vehicles in the current transport vehicle group to be started, and marking the driving evaluation values as H1, H2, … and Hh in sequence from high to low, wherein H is more than or equal to 1;
s12: according to a certain calculation and acquisition rule, the driving evaluation values H1, H2, … and Hh of the drivers carried in the identity information data of the drivers of all transport vehicles in the current transport vehicle group to be started are calculated and acquired, and the topology node values J1, J2, … and Jh of the drivers are calculated and acquired:
s121: calculating and obtaining driving evaluation values H1 and H2, H2 and H3, … and difference values I1, I2, … and Ih-1 of drivers carried in identity information data of a current transport vehicle group to be started, calculating and obtaining the average value of the difference values by utilizing a summation and averaging formula, and marking the average value as I;
s122: using the formulaCalculating and acquiring a topology node value J1 corresponding to a driving evaluation value H1 of a driver carried in identity information data of the drivers of all transport vehicles in the current transport vehicle group to be started;
s123: according to S121 and S122, driving evaluation values H1, H2, … and Hh-1 of all drivers carried in identity information data of all drivers of the transportation vehicles in the current transportation vehicle group to be started are calculated and obtained, and topology node values J1, J2, … and Jh-1 corresponding to the driving evaluation values H1, H2, … and Hh-1 are calculated and obtained;
using the formulaCalculating and acquiring drivers of all transport vehicles in current transport vehicle group to be startedA topology node value Jh of a driving evaluation value Hh of a driver carried in the identity information data of the driver;
s13: comparing the sizes of the topology node values J1 and P5, if J1 is greater than P5, calibrating a transport vehicle driven by a driver corresponding to J1 as a preliminary topology main node, otherwise, calibrating the transport vehicle as a preliminary topology auxiliary node, wherein P5 is a preset topology node judgment value;
s14: sequentially comparing the sizes of the topology node values J1, J2, …, jh and P5 according to S13, and calibrating a prepared topology main node and a prepared topology auxiliary node for all transport vehicles in the transport vehicle group to be started currently;
s15: and the topology generating unit generates network topology data of the transport vehicle group to be started currently according to all transport vehicles in the transport vehicle group to be started currently, which are marked as the prepared topology master node, the prepared topology auxiliary node and the topology master node.
Further, the longitude and latitude display forms of the transport vehicle are displayed in degrees, minutes and seconds.
Further, the external protection module generates a specific external protection generation rule of the external ciphertext sequence of all vehicles in the transportation vehicle group at the current moment according to a certain external protection generation rule based on the motion information data of all transportation vehicles at the previous moment of the transportation vehicle group, wherein the specific external protection generation rule is as follows:
s21: all transport vehicles in the transport vehicle group in the running process are marked as K1, K2, … and Kk, wherein K is more than or equal to 1 according to the sequence from the large to the small of the corresponding topological node values, and K1 is the transport vehicle which is taken as the terminal in the group at the previous moment;
s22: acquiring longitude and latitude of a transport vehicle K1 at the previous moment, performing decimal conversion on the longitude and latitude respectively, marking the longitude of the transport vehicle K1 at the previous moment after decimal conversion as x1, marking the latitude of the transport vehicle K1 at the previous moment after decimal conversion as a latitude unit of the transport vehicle K1, and marking the latitude as y1;
s23: calculating and acquiring longitude units x1, x2, … and xk and latitude units y1, y2, … and yk of transport vehicles K1, K2, … and Kk according to S21 to S22;
s24: establishing a plane rectangular coordinate system, and mapping longitude units x1, x2, … and xk and latitude units y1, y2, … and yk of transport vehicles K1, K2, … and Kk into the plane rectangular coordinate system, wherein the mapping positions of the transport vehicles K1, K2, … and Kk in the plane rectangular coordinate system can be expressed as transport vehicles K1 (x 1, y 1), K2 (x 2, y 2), … and Kk (xk and yk);
s25: using a calculation formula
The cosine value of the included angle formed by the transport vehicle K1 and any two transport vehicles is calculated and obtained, so that the degrees L1, L2, … and->Calculating and obtaining the average value by utilizing a summation averaging formula, and re-calibrating the average value as the density azimuth angle of the transport vehicle K1 at the current moment, wherein the lambda 1 and the lambda 2 refer to any two transport vehicles except the transport vehicle K1 in the transport vehicle group, and the lambda 1 is more than or equal to 2 and less than or equal to K, and the lambda 2 is more than or equal to 2 and less than or equal to K;
s26: calculating and acquiring density azimuth angles of transport vehicles K1, K2, … and Kk at the current moment according to S25, and aggregating the density azimuth angles to generate an encryption sequence of the transport vehicle group at the current moment;
and the external protection module encrypts the motion information data of all transport vehicles in the transport vehicle group in the running process acquired at the current moment by adopting a symmetrical encryption algorithm according to the encryption sequence of the transport vehicle group at the current moment to generate an external ciphertext sequence of the transport vehicle group at the current moment.
Further, in the running process of the transport vehicle group, the network connection unit monitors that the transport vehicle network marked as the topology master node fails, and then selects the transport vehicle with the largest topology node value as the intra-group terminal from large to small according to the topology node values corresponding to all transport vehicles marked as the preparation topology master node, and uses the transport vehicle which is used as the intra-group terminal in the transport vehicle group as the intra-group child terminal, and the intra-group terminal reestablishes communication links with all the intra-group child terminals.
Further, the network failure refers specifically to the network instability caused by the network DDOS attack or the wrong operation of the user on the network of the transport vehicle.
The invention has the beneficial effects that:
the invention collects the identity information data of all transport vehicles in the transport vehicle group to be started currently through the preparation collection module, the communication module builds the network topology in the transport vehicle group based on the transport vehicle drivers in the transport vehicle group to be started currently, and one transport vehicle sends data to the transport monitoring platform uniformly, so that the network in the transport process of a plurality of transport vehicles is optimized, the situation that the transport monitoring platform is transported by the plurality of transport vehicles simultaneously to cause too many communication links to cause unsafe data transmission is avoided, the connection resources of the transport monitoring platform are saved, the network topology of the transport vehicle group is reconstructed by the network connection unit in the driving process, and the situation that the transport vehicles are subjected to DDos and transport personnel misoperation to cause the network failure in the operation vehicle group to cause the failure of information data transmission is avoided;
according to the invention, the transportation acquisition module is arranged to acquire the movement information data of all transportation vehicles in the transportation vehicle group, the outside-group protection module is used for generating the outside-group ciphertext sequence of the movement information data of all vehicles at the current moment based on the movement information data of all transportation vehicles in the transportation vehicle group at the last moment, so that on one hand, the single use of the same secret key is avoided, the secret key can cause the movement information data of all transportation vehicles in the transportation vehicle group to be stolen if leaked, on the other hand, the connection between the encryption process and the transmission data is enhanced, the outside-group ciphertext sequence used for encryption is changeable, the process of adopting the single secret key as the secret key is leaked to transmit the new secret key is omitted, and the safety of the transportation vehicles in the transportation vehicle group is ensured.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the vehicle positioning optimization management method based on the vehicle-mounted central security gateway is performed by a high-precision vehicle positioning system based on the vehicle-mounted central security gateway, and the system comprises a preparation acquisition module, a communication module, a transportation monitoring platform and a data analysis module;
the preparation acquisition module is used for acquiring identity information data of all transport vehicle drivers in the current transport vehicle group to be started, and comprises a plurality of preparation acquisition units, one preparation acquisition unit correspondingly acquires the identity information data of one transport vehicle driver in the current transport vehicle group to be started, and the identity information data of the driver comprises a driving evaluation value of the driver;
in this embodiment, the identity information data of the driver is read from and written into the ic card, and the data written into the ic card can be read through the ic card inserted by the driver; in this embodiment, six transport vehicles in the transport vehicle group;
the preparation acquisition module generates identity information data of all drivers of the transport vehicles in the transport vehicle group to be started currently according to the identity information data of the drivers acquired by all preparation acquisition units and then transmits the identity information data to the communication module;
the communication module is used for establishing network connection for all transport vehicles in the transport vehicle group which are to be started and have started transport tasks at present by constructing network topology, and the topology generation unit comprises a topology generation unit and a network connection unit;
the communication module acquires identity information data of all the drivers of the transportation vehicles in the current transportation vehicle set to be started, which is transmitted by the preparation acquisition module, and then transmits the data to the topology generation unit, and the topology generation unit receives the identity information data of all the drivers of the transportation vehicles in the current transportation vehicle set to be started, which is transmitted by the communication module, and then builds and lays out the network topology of the current transportation vehicle set to be started according to a certain building layout rule to generate the network topology data of the current transportation vehicle set to be started, wherein the specific building layout rule is as follows:
s11: obtaining driving evaluation values of all drivers carried in identity information data of all drivers of the transport vehicles in the current transport vehicle group to be started, and marking the driving evaluation values as H1, H2, … and Hh in sequence from high to low, wherein H is more than or equal to 1;
s12: the driving evaluation values H1, H2, … and Hh of the drivers carried in the identity information data of the drivers of all the transport vehicles in the current transport vehicle group to be started are calculated and obtained according to a certain calculation and obtaining rule, and the topology node values J1, J2, … and Jh are specifically as follows:
s121: calculating and obtaining a difference value I1 of driving evaluation values H1 and H2 of the drivers carried in the identity information data of the drivers of all transport vehicles in the current transport vehicle group to be started by using a formula I1 = H2-H1;
s122: according to S121, driving evaluation values H1 and H2, H2 and H3, …, and differences I1, I2, … and Ih-1 of drivers carried in identity information data of all the drivers of the transportation vehicles in the current transportation vehicle group to be started are calculated and obtained, and a difference average value is calculated and obtained by utilizing a sum-average formula and is marked as I;
s123: using the formulaCalculating and obtaining driving assessment of drivers carried in identity information data of drivers of all transport vehicles in the current transport vehicle group to be startedA topology node value J1 of value H1;
s124: according to S122 and S123, driving evaluation values H1, H2, … and H-1 of the drivers carried in the identity information data of the drivers of all transport vehicles in the current transport vehicle group to be started are calculated and obtained, and topology node values J1, J2, … and Jh-1 of the drivers are calculated;
using the formulaCalculating a topology node value Jh of a driving evaluation value Hh of a driver carried in identity information data of the drivers of all transport vehicles in the current transport vehicle group to be started;
s13: comparing the sizes of the topological node values J1 and P5, and if J1 is greater than P5, calibrating a transport vehicle driven by a driver corresponding to J1 as a prepared topological master node;
otherwise, calibrating the transport vehicle driven by the driver corresponding to J1 as a prepared topology auxiliary node, wherein P5 is a preset topology node judgment value;
s14: sequentially comparing the sizes of the topology node values J1, J2, …, jh and P5 according to the S13, and calibrating a prepared topology main node and a prepared topology auxiliary node of all transport vehicles in the transport vehicle group to be started currently;
s15: the method comprises the steps of (1) recalibrating all transport vehicles with the largest topological node value in transport vehicles calibrated as prepared topological master nodes in a transport vehicle group to be started currently to be calibrated as the topological master nodes;
the topology generation unit generates network topology data of the current transport vehicle group to be started according to all transport vehicles marked as the prepared topology main node, the prepared topology auxiliary node and the topology main node in the current transport vehicle group to be started and transmits the network topology data to the network connection unit;
the network connection unit receives network topology data of the current transport vehicle group to be started, which are transmitted by the topology generation unit, and then takes transport vehicles marked as topology master nodes as intra-group terminals of the transport vehicle group according to the transport vehicles of the preparation topology master nodes, the preparation topology auxiliary nodes and the topology master nodes carried in the network connection unit, all other transport vehicles in the transport vehicle group are taken as intra-group sub-terminals, communication connection is established between the intra-group terminals and all intra-group sub-terminals, and data interaction between all transport vehicles in the transport vehicle group and the transport vehicle group is ensured;
when the network connection unit monitors that the network of the transport vehicles marked as the topology master nodes fails, according to the topology node values corresponding to all transport vehicles marked as the preparation topology master nodes, taking the transport vehicle with the largest topology node value as an intra-group terminal of the transport vehicle group from large to small, taking the transport vehicle which is taken as the intra-group terminal of the transport vehicle group as an intra-group child terminal, and establishing communication connection with each intra-group child terminal again by the intra-group terminal so as to ensure that all intra-group child terminals can perform data interaction with the intra-group terminal in the running process of the transport vehicle group;
in this embodiment, the network failure specifically refers to that the network of the transport vehicle is attacked by the DDOS of the network or the network is unstable due to incorrect operation of the user;
the motion acquisition module is used for acquiring motion information data of all transport vehicles in the transport vehicle group in a driving process in real time, and the motion acquisition module acquires the motion information data of all transport vehicles in the transport vehicle group which starts driving currently; in this embodiment, the longitude and latitude of the transport vehicle are in degrees, minutes, seconds;
the motion acquisition module transmits motion information data acquired in real time of all transport vehicles in the transport vehicle group in the running process to the outside-group protection module, and the outside-group protection module receives the motion information data of all transport vehicles in the transport vehicle group in the running process acquired at the current moment transmitted by the motion module and then generates an outside-group ciphertext sequence of all vehicles in the transport vehicle group at the current moment according to a certain outside-group protection generation rule, and the method comprises the following specific steps of:
s21: all transport vehicles in the transport vehicle group in the driving process are marked with K1, K2, … and Kk in sequence from the larger to smaller corresponding topological node values, wherein K1 is the transport vehicle which is taken as the terminal in the group at the previous moment;
s22: acquiring longitude and latitude of the transport vehicle K1 at the previous moment, performing decimal conversion on the longitude and latitude, calibrating the longitude of the transport vehicle K1 at the previous moment after decimal conversion as a longitude unit of the transport vehicle K1, marking the longitude as x1, and calibrating the latitude of the transport vehicle K1 at the previous moment after decimal conversion as a latitude unit of the transport vehicle K1, marking the latitude as y1;
s23: calculating and acquiring longitude units x1, x2, … and xk and latitude units y1, y2, … and yk of transport vehicles K1, K2, … and Kk according to S21 to S22;
s24: establishing a plane rectangular coordinate system, and mapping longitude units x1, x2, … and xk and latitude units y1, y2, … and yk of transport vehicles K1, K2, … and Kk into the plane rectangular coordinate system, wherein the mapping positions of the transport vehicles K1, K2, … and Kk in the plane rectangular coordinate system can be expressed as transport vehicles K1 (x 1, y 1), K2 (x 2, y 2), … and Kk (xk and yk);
s25: using a calculation formula
The cosine value of the included angle formed by the transport vehicle K1 and any two transport vehicles is calculated and obtained, so that the degrees L1, L2, … and->Calculating and obtaining the average value by utilizing a summation averaging formula, and re-calibrating the average value as the density azimuth angle of the transport vehicle K1 at the current moment, wherein the lambda 1 and the lambda 2 refer to any two transport vehicles except the transport vehicle K1 in the transport vehicle group, and the lambda 1 is more than or equal to 2 and less than or equal to K, and the lambda 2 is more than or equal to 2 and less than or equal to K;
s26: calculating and acquiring density azimuth angles of transport vehicles K1, K2, … and Kk at the current moment according to S25, and aggregating the density azimuth angles to generate an encryption sequence of the transport vehicle group at the current moment;
the external protection module encrypts the motion information data of all transport vehicles in the transport vehicle group in the running process acquired at the current moment by adopting a symmetric encryption algorithm according to the encryption sequence of the transport vehicle group at the current moment to generate an external ciphertext sequence of the transport vehicle group at the current moment, and transmits the external ciphertext sequence to the transport monitoring platform;
the transportation monitoring platform is used for decrypting the outer cipher text sequence of all transportation vehicles in the transportation vehicle group in the driving process to obtain the motion information data of all transportation vehicles in the transportation vehicle group in the driving process, storing the motion information data, mapping the motion information data to a monitoring screen, and supplying the personnel of the transportation monitoring platform with the motion information data to check;
the storage unit stores the data decrypted by the cipher text sequence outside the transportation vehicle group at the current moment;
the data analysis module is used for periodically analyzing and analyzing the motion information data of the transport vehicles in all the transport vehicle groups stored in the transport monitoring platform, and the specific analysis steps are as follows:
s31: firstly, selecting a driver driving a transport vehicle in a transport vehicle group as a driver to be assessed;
s32: acquiring average speeds A1, A2, … and At and idle times B1, B2, … and Bt of a driver to be assessed to drive a transport vehicle in t transport periods;
the t transport periods are t transport periods back from the current transport period to the past, and in the embodiment, one complete transport period is from the start of the transport vehicle started by the driver to be scheduled to the end of the transport from the start of the transport to the end of the transport;
s33: sequentially comparing the average speeds A1, A2, …, at and P1 to obtain the quantity Pa1 of all average speeds of the average speed of the driving transportation vehicle of the driver to be assessed exceeding P1 in t transportation periods, and calculating and obtaining the average value Pa2 of all average speeds of the average speed of the driving transportation vehicle of the driver to be assessed exceeding P1 in t transportation periods by utilizing a summation averaging formula, wherein P1 is a preset normal speed threshold;
sequentially comparing the idling time B1, B2, …, bt and P2 to obtain the quantity Pb1 of all idling times of the idling time exceeding P2 of the driver to be assessed for driving the transportation vehicle in t transportation periods, and calculating and obtaining the average value Pa2 of all idling times of the idling time exceeding P2 of the driver to be assessed for driving the transportation vehicle in t transportation periods by utilizing a summation averaging formula, wherein P2 is a preset idling threshold value;
s34: the method comprises the steps of obtaining the emergency acceleration times C1, C2, … and Ct and the emergency braking times D1, D2, … and Dt of a transport vehicle driven by a driver to be scheduled in t transport periods;
s35: using the formulaC is more than or equal to 1 and less than or equal to t, calculating and obtaining variation value E1 of the number of times of sudden acceleration of the transport vehicle by the driver to be assessed in t transport periods, comparing E1 with P3, if E1>P3, deleting corresponding Cc values in sequence from large to small according to the absolute value Cc-C, calculating a variation value E1 of the residual Cc, comparing the E1 with the P3 again until E1 is less than or equal to P3, wherein C is the average value of the residual rapid acceleration times calculated by the variation value of the rapid acceleration times of the driving vehicle of the driver to be assessed in t transportation periods, and re-marking the average value as Pa3, wherein P3 is a preset rapid acceleration threshold;
s36: using the formulaD is more than or equal to 1 and less than or equal to t, calculating and obtaining variation value F1 of emergency braking times of driving vehicle of driver to be assessed in t transportation periods, comparing F1 with P4, if F1>P4, deleting the corresponding Dd values in the order of |Dd-D| from large to small, and calculating the residualComparing the variation value F1 of the residual Dd with the value P4 again until the value F1 is less than or equal to P4, wherein C is the average value of the residual sudden braking times calculated by the variation value of the sudden acceleration times of the driving vehicle of the driver to be assessed in t transportation periods, and the average value is re-marked as Pa4, and the value P4 is a preset sudden braking threshold;
s37: calculating and obtaining a driving evaluation value G1 of a driver to be assessed in t transportation periods by using a formula G1=Pa 1 x alpha 1+Pa2 x alpha 2+Pa3 x alpha 3+Pa 4 x alpha 4, wherein alpha 1, alpha 2, alpha 3 and alpha 4 are preset weight coefficients;
s38: according to S31 to S37, driving evaluation values of drivers of all transport vehicles in the transport vehicle group in t transport periods are calculated and obtained, and then the driving evaluation values are transmitted to a transport monitoring platform for safe storage;
in the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative and explanatory of the invention, as various modifications and additions may be made to the particular embodiments described, or in a similar manner, by those skilled in the art, without departing from the scope of the invention or exceeding the scope of the invention as defined in the claims.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.

Claims (5)

1. The vehicle positioning optimization management method based on the vehicle-mounted central security gateway is characterized by comprising the following steps of:
step one: the method comprises the steps that a preparation acquisition module acquires identity information data of drivers of all transport vehicles in a transport vehicle group to be started currently, wherein the identity information data of the drivers comprise driving evaluation values of the drivers, and the transport vehicles in the transport vehicle group are provided with a vehicle-mounted central security gateway;
step two: the communication module constructs a network topology for the current transport vehicle set to be started, and establishes network connection, the communication module comprises a topology generation unit and a network connection unit, the topology generation unit lays out the network topology of the current transport vehicle set to be started according to a certain layout generation rule, and network topology data of the current transport vehicle set to be started are generated, and the method specifically comprises the following steps:
s11: obtaining driving evaluation values of all drivers carried in identity information data of all drivers of the transport vehicles in the current transport vehicle group to be started, and marking the driving evaluation values as H1, H2, … and Hh in sequence from high to low, wherein H is more than or equal to 1;
s12: according to a certain calculation and acquisition rule, the driving evaluation values H1, H2, … and Hh of the drivers carried in the identity information data of the drivers of all transport vehicles in the current transport vehicle group to be started are calculated and acquired, and the topology node values J1, J2, … and Jh of the drivers are calculated and acquired:
s121: calculating and obtaining driving evaluation values H1 and H2, H2 and H3, …, difference values I1, I2, … and Ih-1 of the drivers carried in the identity information data of the drivers of all transport vehicles in the current transport vehicle group to be started, and calculating and obtaining the average value of the difference values by utilizing a summation and averaging formula, wherein the average value is marked as I;
s122: using the formulaCalculating and acquiring a topology node value J1 corresponding to a driving evaluation value H1 of a driver carried in identity information data of the drivers of all transport vehicles in the current transport vehicle group to be started;
s123: according to S121 and S122, driving evaluation values H1, H2, … and Hh-1 of all drivers carried in identity information data of all drivers of the transportation vehicles in the current transportation vehicle group to be started are calculated and obtained, and topology node values J1, J2, … and Jh-1 corresponding to the driving evaluation values H1, H2, … and Hh-1 are calculated and obtained;
using the formulaCalculating a topology node value Jh of a driving evaluation value Hh of a driver carried in identity information data of the drivers of all transport vehicles in the current transport vehicle group to be started;
s13: comparing the sizes of the topology node values J1 and P5, if J1 is greater than P5, calibrating a transport vehicle driven by a driver corresponding to J1 as a preliminary topology main node, otherwise, calibrating the transport vehicle as a preliminary topology auxiliary node, wherein P5 is a preset topology node judgment value;
s14: sequentially comparing the sizes of the topology node values J1, J2, …, jh and P5 according to S13, and calibrating a prepared topology main node and a prepared topology auxiliary node for all transport vehicles in the transport vehicle group to be started currently;
s15: the method comprises the steps that a transport vehicle with the largest topology node value of the transport vehicle in a transport vehicle group to be started currently is recalibrated to be a topology master node, and the topology generation unit generates network topology data of the transport vehicle group to be started currently according to the topology node values of all transport vehicles calibrated to be a preparation topology master node, a preparation topology auxiliary node and a topology master node in the transport vehicle group to be started currently;
step three: the network connection unit takes transport vehicles marked as topology main nodes in network topology data of a transport vehicle group to be started currently as intra-group terminals, takes all other transport vehicles as intra-group sub-terminals, and actively sends out a link request by the intra-group terminals and establishes network links with all the intra-group sub-terminals;
step four: the transportation acquisition module acquires the movement information data of all transportation vehicles in the transportation vehicle group in the driving process, wherein the movement information data of the transportation vehicles comprises license plates, real-time longitude and latitude, real-time speed, rapid acceleration times, rapid braking times and idle time of the transportation vehicles;
step five: the outside protection module performs outside protection on the motion information data of all transport vehicles in the transport vehicle group transmitted to the transport monitoring platform, and generates an outside ciphertext sequence of all transport vehicles in the transport vehicle group at the current moment according to a certain outside protection generation rule based on the motion information data of all transport vehicles in the transport vehicle group at the previous moment and transmits the outside ciphertext sequence to the transport monitoring platform;
step six: the transportation monitoring platform decrypts the external ciphertext sequences of all transportation vehicles in the transportation vehicle group in the driving process, obtains the movement information data of all transportation vehicles in the transportation vehicle group in the driving process, stores the movement information data, maps the movement information data onto a monitoring screen, and provides the movement information data for staff of the transportation monitoring platform to check;
step seven: the data analysis module periodically analyzes the motion information data of the transport vehicles in all the transport vehicle groups stored in the transport monitoring platform, and obtains driving evaluation values of all drivers in the period.
2. The vehicle positioning optimization management method based on the vehicle-mounted central security gateway according to claim 1, wherein the longitude and latitude display forms of the transport vehicle are displayed in degrees, minutes and seconds.
3. The vehicle positioning optimization management method based on a vehicle-mounted central security gateway according to claim 1, wherein the specific external protection generation rule of generating the external cipher text sequence of all transport vehicles in the transport vehicle group at the current moment according to a certain external protection generation rule based on the motion information data of all transport vehicles in the transport vehicle group at the previous moment is as follows:
s21: all transport vehicles in the transport vehicle group in the running process are marked as K1, K2, … and Kk, wherein K is more than or equal to 1 according to the sequence from the large to the small of the corresponding topological node values, and K1 is the transport vehicle used as the terminal in the group;
s22: acquiring longitude and latitude of the transport vehicle K1 at the previous moment, performing decimal conversion on the longitude and latitude respectively, calibrating the longitude of the transport vehicle K1 after decimal conversion as a longitude unit of the transport vehicle K1, marking the longitude as x1, and calibrating the latitude of the transport vehicle K1 after decimal conversion as a latitude unit of the transport vehicle K1, marking the latitude as y1;
s23: calculating and acquiring longitude units x1, x2, …, xk and latitude units y1, y2, …, yk of the transportation vehicles K1, K2, …, kk at the previous moment according to S21 to S22;
s24: establishing a plane rectangular coordinate system, and mapping longitude units x1, x2, … and xk and latitude units y1, y2, … and yk of transport vehicles K1, K2, … and Kk into the plane rectangular coordinate system, wherein the mapping positions of the transport vehicles K1, K2, … and Kk in the plane rectangular coordinate system can be expressed as transport vehicles K1 (x 1, y 1), K2 (x 2, y 2), … and Kk (xk and yk);
s25: using a calculation formula
The cosine value of the included angle formed by the transport vehicle K1 and any two transport vehicles is calculated and obtained, so that the degrees L1, L2, … and->Calculating and obtaining the average value by utilizing a summation averaging formula, and re-calibrating the average value as the density azimuth angle of the transport vehicle K1 at the current moment, wherein the lambda 1 and the lambda 2 refer to any two transport vehicles except the transport vehicle K1 in the transport vehicle group, and the lambda 1 is more than or equal to 2 and less than or equal to K, and the lambda 2 is more than or equal to 2 and less than or equal to K;
s26: calculating and acquiring density azimuth angles of transport vehicles K1, K2, … and Kk at the current moment according to S25, and aggregating the density azimuth angles to generate an encryption sequence of the transport vehicle group at the current moment;
and the external protection module encrypts the motion information data of all transport vehicles in the transport vehicle group in the running process acquired at the current moment by adopting a symmetrical encryption algorithm according to the encryption sequence of the transport vehicle group at the current moment to generate an external ciphertext sequence of the transport vehicle group at the current moment.
4. The vehicle positioning optimization management method based on the vehicle-mounted central security gateway according to claim 1, wherein when the network connection unit monitors that the network of the transport vehicle marked as the topology master node fails during the running process of the transport vehicle group, the transport vehicle with the largest topology node value is selected as an intra-group terminal from large to small according to the topology node values corresponding to all the transport vehicles marked as the preparation topology master node, the transport vehicle which is used as the intra-group terminal in the previous transport vehicle group terminal is used as an intra-group sub-terminal, and the intra-group terminal re-establishes communication links with each intra-group sub-terminal.
5. The vehicle positioning optimization management method based on the vehicle-mounted central security gateway according to claim 4, wherein the network failure specifically refers to network failure caused by network DDOS attack or user's incorrect operation of the network of the transport vehicle.
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