CN115510501B - Automobile data tamper-proofing method and system - Google Patents

Automobile data tamper-proofing method and system Download PDF

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CN115510501B
CN115510501B CN202211465107.4A CN202211465107A CN115510501B CN 115510501 B CN115510501 B CN 115510501B CN 202211465107 A CN202211465107 A CN 202211465107A CN 115510501 B CN115510501 B CN 115510501B
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vehicle
parameters
activity
weather
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CN115510501A (en
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张帆
刘渊
冯乾隆
王易
王顺凯
韩胜强
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China Automobile Information Technology Tianjin Co ltd
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China Automobile Information Technology Tianjin Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F21/6227—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database where protection concerns the structure of data, e.g. records, types, queries
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    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G06F16/2228—Indexing structures
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    • H04W4/02—Services making use of location information
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Abstract

The invention relates to the technical field of data storage, and particularly discloses an automobile data tamper-proofing method and system, wherein the method comprises the steps of regularly obtaining the space coordinates of a recorded automobile based on a database, and generating a moving graph of the recorded automobile according to the space coordinates; determining the space coordinate acquisition frequency of each recorded automobile in real time based on the activity diagram; acquiring weather parameters of each area in real time, and determining influence parameters with a target as an index according to the weather parameters; and updating the damage condition of the record automobile according to the influence parameters and the activity diagram. According to the invention, the position data of the automobile based on time is obtained in real time, the automobile state is determined according to the position data and the environment information, an automobile activity map is finally generated, the data is counted by a uniform platform, and the situation that a second-hand car seller randomly tampers the data is effectively prevented.

Description

Automobile data tamper-proofing method and system
Technical Field
The invention relates to the technical field of data storage, in particular to an automobile data tamper-proofing method and system.
Background
With the enlargement of city scale and the improvement of living standard of people, automobiles gradually enter household households as necessities, and many clients with insufficient budget or clients driving for the first time often buy used cars to meet the requirements first, which also hastens the emergence of used car trading markets.
However, the existing used car transaction environment is very opaque, many data can be tampered, such as mileage, accident reports and the like, the authenticity of the car data depends on the personal quality of the used car selling seller, and a customer hardly knows what the car has gone through really, so that many people dare not to buy the used car, which has a great negative effect on the used car transaction environment, and therefore how to ensure the consistency and continuity of the car data and prevent the used car selling seller from randomly tampering the car data is a technical problem to be solved by the technical scheme of the invention.
Disclosure of Invention
The invention aims to provide a method and a system for preventing automobile data from being tampered, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
an automobile data tamper-proofing method, the method comprising:
the method comprises the steps of obtaining space coordinates of a recorded automobile at regular time based on a database, and generating a moving picture of the recorded automobile according to the space coordinates; the activity graph comprises an activity track containing time information;
determining the space coordinate acquisition frequency of each recorded automobile in real time based on the activity diagram;
acquiring weather parameters of each area in real time, and determining influence parameters with a target as an index according to the weather parameters; the influence parameters are used for representing the influence degree of weather on the vehicle in unit time;
and updating the damage condition of the recorded automobile according to the influence parameters and the activity map.
As a further scheme of the invention: the step of regularly acquiring the space coordinates of the record automobile based on the database and generating the activity map of the record automobile according to the space coordinates comprises the following steps:
acquiring delivery information of an automobile, generating an automobile number according to the delivery information, and establishing a database taking the automobile number as an index;
sending a position authority acquisition request to an owner, and acquiring the space coordinate of the automobile regularly according to the position authority; the acquisition period of the space coordinate is a preset value;
reading a preset regional map containing a dynamic scale, and inserting a position node corresponding to a space coordinate into the regional map;
inserting data acquisition time into each position node, and sequentially connecting the position nodes based on the data acquisition time to generate an activity track;
the connection process of the position nodes comprises a self-connection process, and at the moment, the display parameters of the position nodes are adjusted according to the self-connection time length.
As a further scheme of the invention: the step of determining the space coordinate acquisition frequency of each recorded automobile in real time based on the activity diagram comprises the following steps:
extracting an activity track from the activity diagram, and calculating the speed and the acceleration of the automobile according to position nodes in the activity track;
adjusting the acquisition frequency of the space coordinate according to the speed and the acceleration;
and reading tail nodes of the movable track on a time axis and display parameters of the tail nodes, and adjusting the space coordinate to acquire frequency according to the display parameters.
As a further scheme of the invention: the step of acquiring the weather parameters of each area in real time and determining the influence parameters with the target as the index according to the weather parameters comprises the following steps:
acquiring weather parameters of each area in real time based on the existing weather service; the weather parameters at least comprise weather state, temperature and illumination intensity;
the method comprises the steps of obtaining pre-stored testing parameters of all parts of an automobile, and calculating the negative influence rate of weather parameters on all parts according to the testing parameters;
and sequentially counting the negative influence rate of each part to generate a negative influence rate curve.
As a further scheme of the invention: the step of updating the damage condition of the record automobile according to the influence parameters and the activity map comprises the following steps:
reading the time corresponding to each position node in the activity diagram;
integrating the negative influence rate curves of the parts in sequence based on the time, and calculating to obtain the negative influence quantity of the parts;
counting the negative influence quantity of each part according to a preset correlation coefficient to obtain the damage degree of the recorded automobile at the position node;
inserting the damage level into a position node in an activity graph;
the calculation process of counting the negative influence quantity of each part according to the preset correlation coefficient to obtain the damage degree of the record automobile at the position node comprises the following steps:
Figure 570187DEST_PATH_IMAGE001
；
wherein Z is the damage degree, n is the number of parts,
Figure 18486DEST_PATH_IMAGE002
is the correlation coefficient of the ith part,
Figure 63802DEST_PATH_IMAGE003
is the negative influence quantity of the ith part.
As a further scheme of the invention: the method further comprises the following steps:
judging whether the automobile is in a motion state or not according to the activity map;
when the automobile is in a motion state, sending a starting instruction to a vehicle detection end;
recording vehicle operation data in real time based on the vehicle end and sending Bluetooth connection requests to other vehicle ends;
when an agreement instruction fed back by other vehicle ends is received, transmitting operating data containing automobile numbers and a backup request to the other vehicle ends based on a Bluetooth transmission channel;
and all the vehicle terminals upload running data containing automobile numbers at regular time.
As a further scheme of the invention: the steps of recording vehicle operation data in real time based on the vehicle terminal and sending Bluetooth connection requests to other vehicle terminals include:
acquiring and displaying the speed, the acceleration and the surface state of the vehicle at other vehicle ends at fixed time according to a preset frequency; wherein the vehicle surface state is image information;
recognizing the speed, the acceleration and the surface state of the vehicle according to a preset recognition algorithm, and generating and displaying a diagnosis report;
and receiving feedback information of the driver, and sending a Bluetooth connection request to other vehicle terminals.
The technical scheme of the invention also provides an automobile data tamper-proofing system, which comprises:
the activity map building module is used for acquiring the space coordinates of the recorded automobile at regular time based on the database and generating the activity map of the recorded automobile according to the space coordinates; the activity graph comprises an activity track containing time information;
the frequency adjusting module is used for determining the space coordinate acquisition frequency of each recorded automobile in real time based on the activity diagram;
the influence parameter acquisition module is used for acquiring weather parameters of each area in real time and determining influence parameters with a target as an index according to the weather parameters; the influence parameters are used for representing the influence degree of weather on the vehicle in unit time;
and the damage condition updating module is used for updating the damage condition of the record automobile according to the influence parameters and the activity diagram.
As a further scheme of the invention: the activity graph establishing module comprises:
the database establishing unit is used for acquiring delivery information of the automobile, generating an automobile number according to the delivery information and establishing a database taking the automobile number as an index;
the coordinate acquisition unit is used for sending a position authority acquisition request to a vehicle owner and acquiring the space coordinate of the vehicle at regular time according to the position authority; the acquisition period of the space coordinate is a preset value;
the node establishing unit is used for reading a preset regional map containing a dynamic scale and inserting a position node corresponding to the space coordinate into the regional map;
the node connecting unit is used for inserting data acquisition time into each position node, sequentially connecting the position nodes based on the data acquisition time and generating an activity track;
the connection process of the position nodes comprises a self-connection process, and at the moment, the display parameters of the position nodes are adjusted according to the self-connection time length.
As a further scheme of the invention: the frequency adjustment module includes:
the motion characteristic calculation unit is used for extracting a motion track from the motion graph and calculating the speed and the acceleration of the automobile according to position nodes in the motion track;
the first frequency adjusting unit is used for adjusting the acquisition frequency of the space coordinate according to the speed and the acceleration;
and the second frequency adjusting unit is used for reading the tail node of the movable track on the time axis and the display parameter thereof and adjusting the spatial coordinate to acquire the frequency according to the display parameter.
Compared with the prior art, the invention has the beneficial effects that: the method acquires the position data of the automobile based on time in real time, determines the automobile state according to the position data and the environmental information, and finally generates an automobile activity diagram, so that the method is extremely high in intuition; the automobile data are counted by the unified platform, so that a used-car seller can be effectively prevented from tampering the automobile data; on the basis, when the automobiles are operated, data backup is carried out between adjacent automobiles, and the situation that the used automobile seller falsifies the data when replacing parts of the automobile with an accident can be effectively prevented.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
FIG. 1 is a block diagram of a method for preventing data from being tampered.
Fig. 2 is a first sub-flow block diagram of a method for preventing automobile data from being tampered.
Fig. 3 is a second sub-flowchart of the method for preventing vehicle data from being tampered.
Fig. 4 is a third sub-flowchart of the automobile data tamper-proofing method.
FIG. 5 is a fourth sub-flowchart of a method for preventing data tampering with an automobile.
Fig. 6 is a block diagram of the constituent structure of the automobile data tamper-proofing system.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1
Fig. 1 is a flow chart of an automobile data tamper-proofing method, in an embodiment of the present invention, the method includes:
step S100: the method comprises the steps of obtaining space coordinates of a recorded automobile at regular time based on a database, and generating a moving picture of the recorded automobile according to the space coordinates; the activity graph comprises an activity track containing time information;
the automobile filing process occurs in an automobile purchasing link or a day when a user wants to add the framework provided by the method; generally, the earlier the car is put on record, the more comprehensive the data of the car is, and correspondingly, the service provider of the method gives more preferential services and the like, for example, the cost is higher when the second hand car is recycled.
It is worth mentioning that the above process will often be assisted by existing map services, such as the high-end maps, etc.
Step S200: determining the space coordinate acquisition frequency of each recorded automobile in real time based on the activity diagram;
the greater the number of the documented cars, the greater the pressure of the service provider performing the method, and therefore the position acquisition mode of the documented cars is a timed acquisition mode containing a preset time interval; the time interval is related to the status of the docket car.
Step S300: acquiring weather parameters of each area in real time, and determining influence parameters with a target as an index according to the weather parameters; the influence parameters are used for representing the influence degree of weather on the vehicle in unit time;
the state of the automobile is closely related to the weather, and if a region rains everyday, the damage probability of the automobile is very high; moreover, the damage of the automobile is not directly damaged as a whole, but the damage of each part in the automobile occurs; the target object refers to a weather-affected part. The effect of the same weather parameter on different parts is different, e.g. it has little effect on the tyre but little effect on the seat.
Step S400: updating the damage condition of the recorded automobile according to the influence parameters and the activity map;
the damage condition of the automobile can be determined jointly according to the influence parameters and the activity diagram; the damage state refers to an aging state of the automobile, and does not necessarily reach a damage degree.
Fig. 2 is a first sub-flow block diagram of an automobile data tamper-proofing method, where the step of periodically obtaining the spatial coordinates of a recorded automobile based on a database, and generating an activity map of the recorded automobile according to the spatial coordinates includes:
step S101: acquiring delivery information of an automobile, generating an automobile number according to the delivery information, and establishing a database taking the automobile number as an index;
after the automobile is delivered, ownership is transferred, and at the moment, the ownership is regarded as the storage starting time of the automobile data;
step S102: sending a position authority acquisition request to an owner, and acquiring the space coordinate of the automobile regularly according to the position authority; the acquisition period of the space coordinate is a preset value;
the authority acquisition process is a necessary link; the acquisition period refers to a timed interval.
Step S103: reading a preset regional map containing a dynamic scale, and inserting a position node corresponding to a space coordinate into the regional map;
the scale of the map of the area is dynamic, determined by the farthest distance between the historical location data of the cars, and represents the location of the car in the map of the area according to the scale.
Step S104: inserting data acquisition time into each position node, and sequentially connecting the position nodes based on the data acquisition time to generate an activity track;
and connecting the position points in sequence to obtain the moving track, wherein the connecting sequence is a time sequence.
The connection process of the position nodes comprises a self-connection process, and at the moment, the display parameters of the position nodes are adjusted according to the self-connection time length;
the self-connection process occurs in a stationary state of the vehicle, and the vehicle state is represented by adjusting the color depth (display parameter) of the location node when the vehicle is stationary.
Fig. 3 is a second sub-flow block diagram of the automobile data tamper-proofing method, wherein the step of determining the spatial coordinate acquisition frequency of each recorded automobile in real time based on the activity diagram includes:
step S201: extracting an activity track from the activity diagram, and calculating the speed and the acceleration of the automobile according to position nodes in the activity track;
step S202: adjusting the acquisition frequency of the space coordinate according to the speed and the acceleration;
step S203: and reading tail nodes of the movable track on a time axis and display parameters of the tail nodes, and adjusting the space coordinate to acquire frequency according to the display parameters.
Two conditions in the activity diagram are important, one is the motion process, the corresponding motion track is the activity track, and at the moment, the position acquisition frequency is properly improved; the other is a long stop which can be identified by the display parameters, and in general, the darker the color, the longer the dwell time, and in this case, the position acquisition frequency can be appropriately lowered.
Fig. 4 is a third sub-flow block diagram of the automobile data tamper-proofing method, where the step of acquiring weather parameters of each area in real time and determining influence parameters using a target as an index according to the weather parameters includes:
step S301: acquiring weather parameters of each area in real time based on the existing weather service; the weather parameters at least comprise weather state, temperature and illumination intensity;
the weather state refers to the overall state of sunny days, rainy days and the like.
Step S302: the method comprises the steps of obtaining pre-stored testing parameters of all parts of an automobile, and calculating the negative influence rate of weather parameters on all parts according to the testing parameters;
the test parameters can be stored in the production process of the automobile, the damage conditions of the automobile parts in various environments can be tested in the production process, so that corresponding test parameters are obtained, and the influence conditions (negative influence rate) of the weather parameters (environment) on the parts can be calculated according to the test parameters.
Step S303: sequentially counting the negative influence rate of each part to generate a negative influence rate curve;
and counting the negative influence rate of each part based on the time information of the weather parameters to obtain a negative influence rate curve as an influence parameter.
FIG. 5 is a fourth sub-flowchart of a method for preventing data tampering of a vehicle, wherein the step of updating the damage status of the parked vehicle according to the influence parameters and the activity map comprises:
step S401: reading the time corresponding to each position node in the activity diagram;
step S402: integrating the negative influence rate curves of the parts in sequence based on the time, and calculating to obtain the negative influence quantity of the parts;
the relationship between the negative influence rate and the negative influence quantity is an integral relationship, and the negative influence rate is integrated in time to obtain the negative influence quantity.
Step S403: counting the negative influence quantity of each part according to a preset correlation coefficient to obtain the damage degree of the recorded automobile at the position node;
the calculation process of counting the negative influence quantity of each part according to the preset correlation coefficient to obtain the damage degree of the record automobile at the position node comprises the following steps:
Figure 990170DEST_PATH_IMAGE004
；
wherein Z is the damage degree, n is the number of parts,
Figure 132438DEST_PATH_IMAGE005
is the correlation coefficient of the ith part,
Figure 220480DEST_PATH_IMAGE006
the negative influence quantity of the ith part;
counting the negative influence quantity of all parts to obtain the damage degree of the recorded automobile; for important parts, the principle of the wooden barrel is generally followed, and for unimportant parts, the damage of the parts has little influence on the whole automobile.
Step S404: inserting the damage level into a position node in an activity graph;
the damage degree is inserted into the position node in the active graph, so that the active graph is updated; at the moment, one activity map can comprehensively and intuitively reflect the running data of the automobile.
As a preferred embodiment of the technical solution of the present invention, the method further comprises:
judging whether the automobile is in a motion state or not according to the activity map;
when the automobile is in a motion state, sending a starting instruction to a vehicle detection end;
recording vehicle operation data in real time based on the vehicle end and sending a Bluetooth connection request to other vehicle ends;
when an agreement instruction fed back by other vehicle ends is received, transmitting operating data containing automobile numbers and a backup request to the other vehicle ends based on a Bluetooth transmission channel;
wherein, all vehicle ends upload the operational data who contains the car number regularly.
The aim of the above is to record the running data of the vehicle in a backup mode, and the process faces the problems that if an accident occurs in the running process of the vehicle, many parts can be impacted instantaneously, and the damage probability is extremely high; if the part is damaged, the data is easily changed in the subsequent repair or replacement process, so that the authenticity of the data is reduced. Therefore, the above-mentioned contents are intended to prevent data loss and ensure authenticity of data.
For a vehicle with an accident, data of the vehicle is difficult to store by the vehicle, and during the running process of the vehicle, running data is sent to surrounding vehicles at regular time according to Bluetooth, and at the moment, the vehicle serves as a data storage party of other vehicles on one hand and sends the data of the vehicle to the other vehicles on the other hand; the time information is used as a label of the data.
It is worth mentioning that the data transmission mode is based on a bluetooth channel, and the default latent meaning is that the distance between the vehicles transmitting data is not very long.
Further, the step of recording vehicle operation data in real time based on the vehicle terminal and sending a bluetooth connection request to other vehicle terminals includes:
acquiring and displaying the speed, the acceleration and the surface state of the vehicle at other vehicle ends at fixed time according to a preset frequency; wherein the vehicle surface state is image information;
recognizing the speed, the acceleration and the surface state of the vehicle according to a preset recognition algorithm, and generating and displaying a diagnosis report;
and receiving feedback information of the driver, and sending a Bluetooth connection request to other vehicle terminals.
On the basis that the Bluetooth channel is established, the driver can do further things; for example, a monitoring device installed outside the vehicle is additionally arranged in the vehicle end and used for acquiring states of other vehicles and displaying the states to the driver in the center console, and the driver can judge whether the other vehicles are abnormal according to display contents and further transmit warning information to the drivers of the other vehicles through the Bluetooth channel. The practicability of the warning information is extremely strong, the existing warning information can only be realized through a flash lamp, and other vehicle ends can easily ignore the flash lamp information. In the extreme case, the driver at one end of the vehicle closes his eyes due to fatigue, and in this case, some characteristic situations occur, in which the action of the flash lamp is almost zero.
Example 2
Fig. 6 is a block diagram of a composition structure of an automobile data tamper-proofing system, in an embodiment of the present invention, an automobile data tamper-proofing system includes:
the activity map establishing module 11 is configured to periodically obtain a space coordinate of the recorded automobile based on the database, and generate an activity map of the recorded automobile according to the space coordinate; the activity graph comprises an activity track containing time information;
the frequency adjusting module 12 is configured to determine, in real time, a spatial coordinate acquisition frequency of each recorded automobile based on the activity map;
the influence parameter acquisition module 13 is configured to acquire weather parameters of each area in real time, and determine influence parameters using the target as an index according to the weather parameters; the influence parameters are used for representing the influence degree of weather on the vehicle in unit time;
and the damage condition updating module 14 is used for updating the damage condition of the record automobile according to the influence parameters and the activity map.
Wherein, the activity map establishing module 11 includes:
the database establishing unit is used for acquiring delivery information of the automobile, generating an automobile number according to the delivery information and establishing a database taking the automobile number as an index;
the coordinate acquisition unit is used for sending a position authority acquisition request to a vehicle owner and acquiring the space coordinate of the vehicle at regular time according to the position authority; the acquisition period of the space coordinate is a preset value;
the node establishing unit is used for reading a preset regional map containing a dynamic scale and inserting a position node corresponding to the space coordinate into the regional map;
the node connecting unit is used for inserting data acquisition time into each position node, sequentially connecting the position nodes based on the data acquisition time and generating an activity track;
the connection process of the position nodes comprises a self-connection process, and at the moment, the display parameters of the position nodes are adjusted according to the self-connection time length.
The frequency adjustment module 12 includes:
the motion characteristic calculation unit is used for extracting a motion track from the motion graph and calculating the speed and the acceleration of the automobile according to position nodes in the motion track;
the first frequency adjusting unit is used for adjusting the acquisition frequency of the space coordinate according to the speed and the acceleration;
and the second frequency adjusting unit is used for reading the tail node of the movable track on the time axis and the display parameter thereof and adjusting the spatial coordinate to acquire the frequency according to the display parameter.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (3)

1. An automobile data tamper-proofing method, characterized by comprising:
the method comprises the steps of obtaining space coordinates of a recorded automobile at regular time based on a database, and generating a moving picture of the recorded automobile according to the space coordinates; the activity graph comprises an activity track containing time information;
determining the space coordinate acquisition frequency of each recorded automobile in real time based on the activity map;
acquiring weather parameters of each area in real time, and determining influence parameters with a target as an index according to the weather parameters; the influence parameters are used for representing the influence degree of weather on the vehicle in unit time; the target is an automobile part influenced by weather parameters;
updating the damage condition of the record automobile according to the influence parameters and the activity diagram;
the step of regularly acquiring the space coordinates of the record automobile based on the database and generating the activity map of the record automobile according to the space coordinates comprises the following steps:
acquiring delivery information of an automobile, generating an automobile number according to the delivery information, and establishing a database taking the automobile number as an index;
sending a position authority acquisition request to an automobile owner, and acquiring the space coordinate of the automobile at regular time according to the position authority; the acquisition period of the space coordinates is a preset value;
reading a preset regional map containing a dynamic scale, and inserting a position node corresponding to a space coordinate into the regional map;
inserting data acquisition time into each position node, and sequentially connecting the position nodes based on the data acquisition time to generate an activity track;
the connection process of the position nodes comprises a self-connection process, and the display parameters of the position nodes are adjusted according to self-connection time; the self-connection process occurs in a static state of the automobile, and when the automobile is static, the automobile state is represented by adjusting display parameters of the position nodes; the display parameter is color depth;
the step of determining the space coordinate acquisition frequency of each recorded automobile in real time based on the activity diagram comprises the following steps:
extracting an activity track from the activity diagram, and calculating the speed and the acceleration of the automobile according to position nodes in the activity track;
adjusting the acquisition frequency of the space coordinate according to the speed and the acceleration;
reading tail nodes of the movable track on a time axis and display parameters of the tail nodes, and adjusting space coordinates according to the display parameters to obtain frequency;
the step of acquiring the weather parameters of each area in real time and determining the influence parameters with the target as the index according to the weather parameters comprises the following steps:
acquiring weather parameters of each area in real time based on the existing weather service; the weather parameters at least comprise weather state, temperature and illumination intensity;
the method comprises the steps of obtaining pre-stored testing parameters of all parts of an automobile, and calculating the negative influence rate of weather parameters on all parts according to the testing parameters;
sequentially counting the negative influence rate of each part to generate a negative influence rate curve;
the method further comprises the following steps:
judging whether the automobile is in a motion state or not according to the activity map;
when the automobile is in a motion state, sending a starting instruction to a vehicle detection end;
recording vehicle operation data in real time based on the vehicle end and sending a Bluetooth connection request to other vehicle ends; the other vehicles are surrounding vehicles of the vehicle recording the vehicle operation data;
when an agreement instruction fed back by other vehicle terminals is received, transmitting operation data containing automobile numbers and a backup request to the other vehicle terminals based on a Bluetooth transmission channel;
wherein, all vehicle terminals upload the running data containing the automobile number at regular time;
the steps of recording vehicle operation data in real time based on the vehicle terminal and sending Bluetooth connection requests to other vehicle terminals include:
acquiring and displaying the speed, the acceleration and the surface state of the vehicle at other vehicle ends at fixed time according to a preset frequency; wherein the vehicle surface state is image information;
recognizing the speed, the acceleration and the surface state of the vehicle according to a preset recognition algorithm, and generating and displaying a diagnosis report;
and receiving feedback information of the driver, and sending a Bluetooth connection request to other vehicle terminals.
2. The automobile data tamper-proofing method according to claim 1, wherein the step of updating the damage condition of the docket automobile according to the influence parameters and the activity map comprises:
reading the time corresponding to each position node in the activity diagram;
integrating the negative influence rate curves of the parts in sequence based on the time, and calculating to obtain the negative influence quantity of the parts;
counting the negative influence quantity of each part according to a preset correlation coefficient to obtain the damage degree of the recorded automobile at the position node;
inserting the damage level into a position node in an activity graph;
the calculation process of counting the negative influence quantity of each part according to the preset correlation coefficient to obtain the damage degree of the record automobile at the position node comprises the following steps:
Figure QLYQS_1
；
wherein Z is the damage degree, n is the number of parts,
Figure QLYQS_2
is the correlation coefficient for the ith part,
Figure QLYQS_3
is the negative influence quantity of the ith part.
3. An automotive data tamper-resistant system, the system comprising:
the activity map establishing module is used for acquiring the space coordinates of the record automobile at regular time based on the database and generating the activity map of the record automobile according to the space coordinates; the activity graph comprises an activity track containing time information;
the frequency adjusting module is used for determining the space coordinate acquisition frequency of each recorded automobile in real time based on the activity diagram;
the influence parameter acquisition module is used for acquiring weather parameters of each area in real time and determining the influence parameters taking the target as an index according to the weather parameters; the influence parameters are used for representing the influence degree of weather on the vehicle in unit time; the target is an automobile part influenced by weather parameters;
the damage condition updating module is used for updating the damage condition of the recorded automobile according to the influence parameters and the activity diagram;
the activity graph establishing module comprises:
the database establishing unit is used for acquiring delivery information of the automobile, generating an automobile number according to the delivery information and establishing a database taking the automobile number as an index;
the coordinate acquisition unit is used for sending a position authority acquisition request to a vehicle owner and acquiring the space coordinate of the vehicle at regular time according to the position authority; the acquisition period of the space coordinate is a preset value;
the node establishing unit is used for reading a preset regional map containing a dynamic scale and inserting a position node corresponding to the space coordinate into the regional map;
the node connecting unit is used for inserting data acquisition time into each position node, sequentially connecting the position nodes based on the data acquisition time and generating an activity track;
the connection process of the position nodes comprises a self-connection process, and the display parameters of the position nodes are adjusted according to self-connection time; the self-connection process is a connection process of two position nodes with the same position; the self-connection process occurs in a static state of the automobile, and when the automobile is static, the automobile state is represented by adjusting display parameters of the position nodes; the display parameter is color depth;
the frequency adjustment module includes:
the motion characteristic calculation unit is used for extracting a motion track from the motion graph and calculating the speed and the acceleration of the automobile according to position nodes in the motion track;
the first frequency adjusting unit is used for adjusting the acquisition frequency of the space coordinate according to the speed and the acceleration;
the second frequency adjusting unit is used for reading tail nodes of the movable track on a time axis and display parameters of the tail nodes, and adjusting the space coordinate to acquire frequency according to the display parameters;
the acquiring weather parameters of each area in real time, and determining the content of the influence parameters with the target as the index according to the weather parameters comprises the following steps:
acquiring weather parameters of each area in real time based on the existing weather service; the weather parameters at least comprise weather state, temperature and illumination intensity;
the method comprises the steps of obtaining pre-stored testing parameters of all parts of an automobile, and calculating the negative influence rate of weather parameters on all parts according to the testing parameters;
sequentially counting the negative influence rate of each part to generate a negative influence rate curve;
the execution content of the system further comprises:
judging whether the automobile is in a motion state or not according to the activity map;
when the automobile is in a motion state, sending a starting instruction to a vehicle detection end;
recording vehicle operation data in real time based on the vehicle end and sending a Bluetooth connection request to other vehicle ends; the other vehicles are vehicles around the vehicle recording the vehicle operation data;
when an agreement instruction fed back by other vehicle terminals is received, transmitting operation data containing automobile numbers and a backup request to the other vehicle terminals based on a Bluetooth transmission channel;
wherein, all vehicle terminals upload the running data containing the automobile number at regular time;
the content based on that the vehicle end records the vehicle running data in real time and sends the Bluetooth connection request to other vehicle ends comprises the following contents:
acquiring and displaying the speed, the acceleration and the surface state of the vehicle at other vehicle ends at regular time according to a preset frequency; wherein the vehicle surface state is image information;
recognizing the speed, the acceleration and the surface state of the vehicle according to a preset recognition algorithm, and generating and displaying a diagnosis report;
and receiving feedback information of the driver, and sending a Bluetooth connection request to other vehicle terminals.
CN202211465107.4A 2022-11-22 2022-11-22 Automobile data tamper-proofing method and system Active CN115510501B (en)

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