AI security situation awareness protection system and method for highway outdoor display content

Abstract

The invention discloses an AI security situation awareness protection system and method for road outdoor display content, and belongs to the technical field of outdoor display security. The display condition of a display task remotely controlled by the rear end of a worker is recorded in real time through a file editing display and traffic indication information, and a dynamic display behavior cluster is formed; based on a traffic road network in a city, the dynamic display behavior clusters are classified by identifying the position of a display on the side of a road; analyzing the abnormal display risk degrees of different types of traffic indication information on the traffic route through the invaded log of the display recorded by the AI cloud platform; the AI security situation awareness capability on each traffic route is evaluated, the protection degree of the range of the invaded road outdoor display is quantified, and real-time early warning is carried out; according to the method, the invasion behavior of the display equipment can be sensed in real time, and meanwhile, the protection degree of the invasion range of the road outdoor display is represented and analyzed by displaying the abnormal sweep range, so that the safety of the outdoor display is improved.

Description

Technical Field

[0001] The present invention relates to the field of outdoor display safety technology, and specifically to an AI safety situation awareness protection system and method for outdoor display content on highways. Background Art

[0002] Various types of highway display screens are important windows for traffic status notification and guidance information release, and play an important role in highway traffic operations. Highway display screens provide display services of different types of traffic instruction information through various display forms such as text, images, and numbers, including highway weather information, road construction information, highway blockage information, major highway traffic incidents, highway operation status information, and highway detour plan information, so as to help drivers adjust their driving behavior, alleviate traffic congestion, reduce traffic accidents, and improve the traffic capacity of road networks.

[0003] However, the outdoor display content of highways is also remotely controlled and displayed through various display devices. In each link of the display content being transmitted to the broadcast control screen, once improper information is played due to improper operation, hacker attacks, deliberate spoofs and other lax release behaviors, it will cause adverse social impacts. In the existing technology, it mainly relies on network security protection measures and operating rules and regulations to control the intrusion of displays. Among them, network security protection mainly adopts traditional network firewalls, data encryption and other technical means, but in today's rapidly changing network technology, new vulnerabilities are constantly attacked by hackers. It is difficult to rely on one technology to completely avoid the potential risks brought by network intrusion. The operating rules and regulations mainly rely on the self-discipline of operators by formulating strict operation and maintenance management processes, such as full-cycle protection measures for pre-review, in-process control, and post-event evidence collection of public display screens to ensure the security of information content, but lack of effective technical means, unable to accurately and quickly solve the repetitive and tedious audit work, it is inevitable that long-term slackness and accidents will occur. Summary of the invention

[0004] The purpose of the present invention is to provide an AI safety situation awareness protection system and method for outdoor display content on highways to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] An AI security situation awareness and protection system for outdoor display content on highways, the system comprises: the system comprises: a display information module, a sample classification module, an intrusion detection processing module and a warning analysis module;

[0007] The display information module uses the AI ​​cloud platform to separately file the display and traffic indication information, and records the display status of the display tasks remotely controlled by the staff backend in real time to form a dynamic display behavior cluster;

[0008] The sample classification module, based on the traffic road network in the city, classifies the dynamic display behavior clusters by identifying the locations where the displays are set on the roadside, and generates a display sample set;

[0009] The intrusion detection processing module locks the display sample set through the intrusion log of the display recorded by the AI ​​cloud platform, and analyzes the abnormal display risk level of different types of traffic indication information on the traffic route; based on the abnormal display risk level, evaluates the AI ​​security situation awareness capability on each traffic route;

[0010] The early warning analysis module, based on the AI ​​security situation awareness capability, analyzes the protection level of the outdoor display of the highway being invaded and issues a real-time early warning.

[0011] Further, the display information module includes a filing unit and a dynamic behavior statistics unit;

[0012] The file-forming unit files all the displays put into use. The displays are set on the side of the road and are used to display traffic instructions. The displays are composed of at least two display screens. The traffic instructions are designed by the staff and are marked with the type of traffic instructions based on the type of traffic instructions, which is recorded as TI. i , where i represents the type tag number;

[0013] The dynamic behavior statistics unit is used to establish a dynamic display behavior cluster, wherein the display behavior refers to a display task remotely controlled by a staff member at the back end, wherein the display task refers to controlling different displays to display the same traffic indication information, and based on the type mark TI of the traffic indication information i , forming the dynamic display behavior cluster, denoted as D r (TI i )={S e |e∈[1,E]}, where D r (TI i ) represents the dynamic display behavior cluster corresponding to the execution of the rth display task, S e It represents the e-th display in the file, and E represents the total number of displays.

[0014] Furthermore, the display sample set is generated in a manner including:

[0015] The traffic road network in the city is obtained and archived, and the traffic route network is adaptively compiled based on the position of the display set on the roadside. The compilation method is as follows:

[0016] The jth traffic route is denoted as TR j , based on the dynamic display behavior cluster D r (TI i ), for traffic route TR j The displays on the display are classified to obtain the display classification cluster, which is recorded as Head And constitute the traffic route TR j The display sample set is denoted as Where I represents the maximum value of the type tag number.

[0017] Further, the intrusion detection processing module includes an intrusion log unit, a risk assessment unit and a perception analysis unit;

[0018] The intrusion log unit records the intrusion log of each display in real time through the AI ​​cloud platform. The intrusion means that during the execution of the display task, the display does not display the content according to the traffic instruction information designed by the staff. The intrusion log records the type mark of the traffic instruction information designed by the staff for display on the display, and the traffic route where the display is located;

[0019] The risk assessment unit locks the display sample set based on the intrusion log and the traffic route where the display is located. Then the display sample set K(TR j );

[0020] Based on the locking behavior, the abnormal display risk level of different types of traffic instructions on the traffic routes is analyzed and calculated. The formula is as follows:

[0021] In the formula, DS(i|TR j ) indicates the type mark of traffic instruction information TI i On the traffic route TR j The anomaly on shows the risk level, IF[·] represents the counting function. is an empty set, then let like is not an empty set, then Indicates display of classification clusters The number of displays included in the

[0022] The perception analysis unit evaluates and calculates the traffic route TR based on the abnormal display risk level j The AI ​​security situation awareness capability is as follows:

[0023] In the formula, SC(TR j ) indicates the traffic route TR j The AI ​​security situation awareness capability on , μ represents the average value of the risk level of abnormal display, and σ 2 The variance represents the degree of risk that the anomaly indicates, and

[0024] According to the above method, the underlying big data quantified by the present invention is traffic indication information, and since there are many types of traffic indication information and the purposes of each display are different, it is difficult to capture the overall security of outdoor displays. If the display content of the display is corrected only through the abnormal display behavior of a single display, it is time-consuming and laborious. At the same time, it is not conducive to characterizing and analyzing the attack scope and purpose of the attacker, and taking effective early warning methods to remedy the invasion risk in time; the present invention coordinates the display abnormalities of each display based on the route conditions of the traffic network, and then evaluates the abnormal display risk degree of different types of traffic indication information on the traffic route; thereby, the AI ​​security situation awareness capability on each traffic route is evaluated through the abnormal display risk degree; the more displays with abnormal display on different traffic routes, the greater the abnormal display risk degree, and the stronger the AI ​​security situation awareness capability.

[0025] Furthermore, the early warning analysis module includes an intrusion range analysis unit and an early warning prompt unit;

[0026] The intrusion range analysis unit analyzes and calculates the intrusion range protection degree of the highway outdoor display based on the AI ​​security situation awareness capability, and the formula is as follows:

[0027] Where RS represents the protection degree of the range of intrusion of highway outdoor display, max{·} represents the maximum value symbol, J represents the total number of traffic routes, and P is the preset protection safety factor;

[0028] The warning prompt unit is used to preset a protection warning threshold, and if the range protection degree is greater than or equal to the protection warning threshold, a warning prompt is issued to the staff port;

[0029] According to the above method, AI security situation awareness capability is a probabilistic evaluation value. The stronger the AI ​​security situation awareness capability is, the greater the abnormal probability of the highway outdoor display being invaded, the greater the protection range of the highway outdoor display being invaded, and the higher the overall security risk of the highway outdoor display being invaded.

[0030] An AI security situation awareness protection method for outdoor display content on a highway, the method comprising the following steps:

[0031] Step S1: The AI ​​cloud platform files the display and traffic indication information respectively, and records the display status of the display tasks remotely controlled by the staff backend in real time to form a dynamic display behavior cluster;

[0032] Step S2: Based on the traffic road network in the city, by identifying the location where the display is set on the roadside, the dynamic display behavior clusters are classified to generate a display sample set;

[0033] Step S3: Using the intrusion logs of the display recorded by the AI ​​cloud platform, lock the display sample set, and analyze the abnormal display risk level of different types of traffic indication information on the traffic routes; based on the abnormal display risk level, evaluate the AI ​​security situation awareness capability on each traffic route;

[0034] Step S4: Based on the AI ​​security situation awareness capability, analyze the protection level of the intrusion range of the highway outdoor display and issue a real-time warning.

[0035] Furthermore, the specific implementation process of step S1 includes:

[0036] All the displays put into use are archived. The displays are set up on the side of the road and are used to display traffic instructions. The displays are composed of at least two display screens. The traffic instructions are designed by the staff and are marked with the type of traffic instructions based on the type of traffic instructions, which is recorded as TI. i , where i represents the type tag number;

[0037] Establish a dynamic display behavior cluster, the display behavior refers to the display task remotely controlled by the staff backend, the display task refers to controlling different displays to display the same traffic indication information, based on the type mark TI of the traffic indication information i , forming the dynamic display behavior cluster, denoted as D r (TI i )={S e |e∈[1,E]}, where D r (TI i ) represents the dynamic display behavior cluster corresponding to the execution of the rth display task, S e It represents the e-th display in the file, and E represents the total number of displays.

[0038] Furthermore, the specific implementation process of step S2 includes:

[0039] The traffic road network in the city is obtained and archived, and the traffic route network is adaptively compiled based on the position of the display set on the roadside. The compilation method is as follows:

[0040] The jth traffic route is denoted as TR j , based on the dynamic display behavior cluster D r (TI i ), for traffic route TR j The displays on the display are classified to obtain the display classification cluster, which is recorded as and And constitute the traffic route TR j The display sample set is denoted as Where I represents the maximum value of the type tag number.

[0041] Furthermore, the specific implementation process of step S3 includes:

[0042] Establishing AI security situation awareness model:

[0043] The AI ​​cloud platform records the intrusion log of each display in real time. The intrusion means that during the execution of the display task, the display does not display the content according to the traffic instruction information designed by the staff. The intrusion log records the type mark of the traffic instruction information designed by the staff for display on the display, and the traffic route where the display is located;

[0044] Based on the intrusion log, the display sample set is locked by the traffic route where the display is located. Then the display sample set K(TR j );

[0045] Based on the locking behavior, the abnormal display risk level of different types of traffic instructions on the traffic routes is analyzed and calculated. The formula is as follows:

[0046] In the formula, DS(i|TR j ) indicates the type mark of traffic instruction information TI i On the traffic route TR j The anomaly on shows the risk level, IF[·] represents the counting function. is an empty set, then let like is not an empty set, then Indicates display of classification clusters The number of displays included in the

[0047] Evaluate and calculate the traffic route TR based on the risk level displayed by the anomaly j The AI ​​security situation awareness capability is as follows:

[0048] In the formula, SC(TR j ) indicates the traffic route TR jThe AI ​​security situation awareness capability on , μ represents the average value of the risk level of abnormal display, and σ 2 The variance represents the degree of risk that the anomaly indicates, and

[0049] Furthermore, the specific implementation process of step S4 includes:

[0050] Based on the AI ​​security situation awareness capability, the protection degree of the intrusion range of highway outdoor display is analyzed and calculated. The formula is as follows:

[0051] Where RS represents the protection degree of the range of intrusion of highway outdoor display, max{·} represents the maximum value symbol, J represents the total number of traffic routes, and P is the preset protection safety factor;

[0052] A protection warning threshold is preset. If the range protection degree is greater than or equal to the protection warning threshold, a warning prompt will be issued to the staff port.

[0053] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: in an AI security situation awareness protection system and method for outdoor highway display content provided by the present invention, by filing display and traffic indication information, the display situation of the display task remotely controlled by the staff at the back end is recorded in real time to form a dynamic display behavior cluster; based on the traffic highway network in the city, the dynamic display behavior clusters are classified by identifying the position where the display is set on the side of the highway; through the invasion log of the display recorded by the AI ​​cloud platform, the abnormal display risk degree of different types of traffic indication information on the traffic route is analyzed; the AI ​​security situation awareness capability on each traffic route is evaluated, the range protection degree of the highway outdoor display being invaded is quantified, and real-time warning is issued; while being able to perceive the intrusion behavior of the display device in real time, the range protection degree of the highway outdoor display being invaded is characterized and analyzed by displaying the scope of the abnormality, thereby improving the safety of the outdoor display. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0055] Figure 1 It is a structural schematic diagram of an AI safety situation awareness protection system for outdoor display content on highways according to the present invention;

[0056] Figure 2 It is a schematic diagram of the steps of an AI safety situation awareness and protection method for outdoor display content on highways according to the present invention. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] See also Figure 1 , In the first embodiment of the present invention: an AI security situation awareness and protection system for outdoor display content on a highway is provided, the system comprising: a display information module, a sample classification module, an intrusion detection processing module and an early warning analysis module;

[0059] The display information module uses the AI ​​cloud platform to separately file display and traffic indication information, and records the display status of display tasks controlled remotely by the staff in real time, forming a dynamic display behavior cluster;

[0060] Preferably, the display information module includes an archiving unit and a dynamic behavior statistics unit;

[0061] The filing unit files all the displays put into use. The displays are set on the side of the road to display traffic instructions, and the displays are composed of at least two display screens. The traffic instructions are designed by the staff, and the traffic instructions are marked based on the type of traffic instructions, which is recorded as TI. i , where i represents the type tag number;

[0062] Dynamic behavior statistics unit, used to establish dynamic display behavior clusters. Display behavior refers to the display tasks remotely controlled by the staff at the back end. Display tasks refer to controlling different displays to display the same traffic indication information. Based on the type mark TI of the traffic indication information i , forming a dynamic display behavior cluster, denoted as D r (TI i )={S e |e∈[1,E]}, where D r (TI i ) represents the dynamic display behavior cluster corresponding to the execution of the rth display task, S e It indicates the e-th display in the file, and E indicates the total number of displays;

[0063] The sample classification module, based on the traffic road network in the city, classifies the dynamic display behavior clusters by identifying the locations where the displays are set on the roadside, and generates a display sample set;

[0064] The preferred method for generating the display sample set includes:

[0065] Obtain the traffic road network in the city and compile it into files. Based on the position of the display set on the roadside, the traffic route network is adaptively compiled. The compilation method is as follows:

[0066] The jth traffic route is denoted as TR j , based on the dynamic display behavior cluster D r (TI i ), for traffic route TR j The displays on the display are classified to obtain the display classification cluster, which is recorded as and And constitute the traffic route TR j The display sample set is denoted as Wherein, I represents the maximum value of the type tag number;

[0067] The intrusion detection processing module uses the intrusion logs of the display recorded by the AI ​​cloud platform to lock the display sample set and analyze the abnormal display risk level of different types of traffic indication information on the traffic routes; based on the abnormal display risk level, it evaluates the AI ​​security situation awareness capability on each traffic route;

[0068] Preferably, the intrusion detection processing module includes an intrusion log unit, a risk assessment unit, and a perception analysis unit;

[0069] The intrusion log unit records the intrusion log of each display in real time through the AI ​​cloud platform. Intrusion means that during the execution of the display task, the display does not display the content according to the traffic instruction information designed by the staff. The intrusion log records the type mark of the traffic instruction information designed by the staff for display on the display, and the traffic route where the display is located;

[0070] The risk assessment unit, based on the intrusion log, locks the display sample set through the traffic route where the display is located. Then the display sample set K(TR j );

[0071] Based on the locking behavior, the abnormal display risk level of different types of traffic instructions on the traffic routes is analyzed and calculated. The formula is as follows:

[0072] In the formula, DS(i|TR j ) indicates the type mark of traffic instruction information TI i On the traffic route TR j The anomaly on shows the risk level, IF[·] represents the counting function. is an empty set, then let like is not an empty set, then Indicates display of classification clusters The number of displays included in the

[0073] The perception analysis unit evaluates and calculates the traffic route TR based on the risk level displayed by the anomaly j The AI ​​security situation awareness capability is as follows:

[0074] In the formula, SC(TR j ) indicates the traffic route TR j The AI ​​security situation awareness capability on , μ represents the average value of the risk level of abnormal display, and σ 2 The variance represents the degree of risk that the anomaly indicates, and

[0075]

[0076] The early warning analysis module, based on AI security situation awareness capabilities, analyzes the degree of protection of the outdoor display of highways that have been invaded and issues real-time early warnings;

[0077] Preferably, the early warning analysis module includes an intrusion range analysis unit and an early warning prompt unit;

[0078] The intrusion range analysis unit, based on the AI ​​security situation awareness capability, analyzes and calculates the protection degree of the intrusion range of the highway outdoor display. The formula is as follows:

[0079] Where RS represents the protection degree of the range of intrusion of highway outdoor display, max{·} represents the maximum value symbol, J represents the total number of traffic routes, and P is the preset protection safety factor;

[0080] For example, P can be set as needed. Generally speaking, the AI ​​security situation awareness capability can be set to 0.5;

[0081] The early warning prompt unit is used to preset the protection warning threshold. If the range protection degree is greater than or equal to the protection warning threshold, an early warning prompt will be issued to the staff port.

[0082] See also Figure 2 In the second embodiment, a method for AI security situation awareness and protection of outdoor display content on a highway is provided, and the method comprises the following steps:

[0083] Step S1: The AI ​​cloud platform files the display and traffic indication information respectively, and records the display status of the display tasks remotely controlled by the staff backend in real time to form a dynamic display behavior cluster;

[0084] Exemplarily, all the displays put into use are archived, the display is set on the side of the road, used to display traffic instructions, and the display is composed of at least two display screens spliced ​​together; the traffic instructions are designed by the staff, and based on the type of the traffic instructions, the traffic instructions are marked with a type, recorded as TI i , where i represents the type tag number;

[0085] Establish a dynamic display behavior cluster. Display behavior refers to the display task remotely controlled by the staff at the back end. Display task refers to controlling different displays to display the same traffic instruction information. Based on the type of traffic instruction information, mark TI i , forming a dynamic display behavior cluster, denoted as D r (TI i )={S e |e∈[1,E]}, where D r (TI i ) represents the dynamic display behavior cluster corresponding to the execution of the rth display task, S e It indicates the e-th display in the file, and E indicates the total number of displays;

[0086] Step S2: Based on the traffic road network in the city, by identifying the location where the display is set on the roadside, the dynamic display behavior clusters are classified to generate a display sample set;

[0087] Exemplarily, the traffic road network in the city is obtained and archived, and the traffic route network is adaptively compiled based on the position of the display set on the side of the road. The compilation method is as follows:

[0088] The jth traffic route is denoted as TR j , based on the dynamic display behavior cluster D r (TI i ), for traffic route TR j The displays on the display are classified to obtain the display classification cluster, which is recorded as Head And constitute the traffic route TR j The display sample set is denoted as Wherein, I represents the maximum value of the type tag number;

[0089] Step S3: Using the intrusion logs of the display recorded by the AI ​​cloud platform, lock the display sample set, and analyze the abnormal display risk level of different types of traffic indication information on the traffic routes; based on the abnormal display risk level, evaluate the AI ​​security situation awareness capability on each traffic route;

[0090] For example, establish an AI security situation awareness model:

[0091] The AI ​​cloud platform records the hacked log of each display in real time. A hacked display means that during the display task, the display does not display the content according to the traffic instruction information designed by the staff. The hacked log records the type mark of the traffic instruction information designed by the staff for display on the display, and the traffic route where the display is located.

[0092] Based on the intrusion log, the display sample set is locked by the traffic route where the display is located. Then the display sample set K(TR j );

[0093] Based on the locking behavior, the abnormal display risk level of different types of traffic instructions on the traffic routes is analyzed and calculated. The formula is as follows:

[0094] In the formula, DS(i|TR j ) indicates the type mark of traffic instruction information TI i On the traffic route TR j The anomaly on shows the risk level, IF[·] represents the counting function. is an empty set, then let like is not an empty set, then Indicates display of classification clusters The number of displays included in the

[0095] Evaluate and calculate the traffic route TR based on the risk level displayed by the anomaly j The AI ​​security situation awareness capability is as follows:

[0096] In the formula, SC(TR j ) indicates the traffic route TR j The AI ​​security situation awareness capability on , μ represents the average value of the risk level of abnormal display, and σ 2 The variance represents the degree of risk that the anomaly indicates, and

[0097]

[0098] Step S4: Based on the AI ​​security situation awareness capability, analyze the protection level of the outdoor display of the highway being invaded and issue a real-time warning;

[0099] For example, based on the AI ​​security situation awareness capability, the protection degree of the intrusion range of the highway outdoor display is analyzed and calculated, and the formula is as follows:

[0100] Where RS represents the protection degree of the range of intrusion of highway outdoor display, max{·} represents the maximum value symbol, J represents the total number of traffic routes, and P is the preset protection safety factor;

[0101] A protection warning threshold is preset. If the range protection degree is greater than or equal to the protection warning threshold, a warning prompt will be issued to the staff port.

[0102] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0103] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An AI security situation awareness protection method for outdoor display content on highways, characterized in that: The method comprises the following steps: Step S1: The AI ​​cloud platform files the display and traffic indication information respectively, and records the display status of the display tasks remotely controlled by the staff backend in real time to form a dynamic display behavior cluster; Step S2: Based on the traffic road network in the city, by identifying the location where the display is set on the roadside, the dynamic display behavior clusters are classified to generate a display sample set; Step S3: Using the intrusion logs of the display recorded by the AI ​​cloud platform, lock the display sample set, and analyze the abnormal display risk level of different types of traffic indication information on the traffic routes; based on the abnormal display risk level, evaluate the AI ​​security situation awareness capability on each traffic route; Step S4: Based on the AI ​​security situation awareness capability, analyze the protection level of the outdoor display of the highway being invaded and issue a real-time warning.

2. The AI ​​security situation awareness and protection method for outdoor highway display content according to claim 1 is characterized in that: The specific implementation process of step S1 includes: All the displays put into use are archived. The displays are set up on the side of the road and are used to display traffic instructions. The displays are composed of at least two display screens. The traffic instructions are designed by the staff and are marked with the type of traffic instructions based on the type of traffic instructions, which is recorded as TI. i , where i represents the type tag number; Establish a dynamic display behavior cluster, the display behavior refers to the display task remotely controlled by the staff backend, the display task refers to controlling different displays to display the same traffic indication information, based on the type mark TI of the traffic indication information i , forming the dynamic display behavior cluster, denoted as D r (TI i )={S e |e∈[1,E]}, where D r (TI i ) represents the dynamic display behavior cluster corresponding to the execution of the rth display task, S e It represents the e-th display in the file, and E represents the total number of displays.

3. The AI ​​security situation awareness and protection method for outdoor highway display content according to claim 2 is characterized in that: The specific implementation process of step S2 includes: The traffic road network in the city is obtained and archived, and the traffic route network is adaptively compiled based on the position of the display set on the roadside. The compilation method is as follows: The jth traffic route is denoted as TR j , based on the dynamic display behavior cluster Dr(TI i ), for traffic route TR j The displays on the display are classified to obtain the display classification cluster, which is recorded as and And constitute the traffic route TR j The display sample set is denoted as Where I represents the maximum value of the type tag number.

4. The AI ​​security situation awareness and protection method for outdoor highway display content according to claim 3 is characterized in that: The specific implementation process of step S3 includes: Establishing AI security situation awareness model: The AI ​​cloud platform records the intrusion log of each display in real time. The intrusion means that during the execution of the display task, the display does not display the content according to the traffic instruction information designed by the staff. The intrusion log records the type mark of the traffic instruction information designed by the staff for display on the display, and the traffic route where the display is located; Based on the intrusion log, the display sample set is locked by the traffic route where the display is located. Then the display sample set K(TR j ); Based on the locking behavior, the abnormal display risk level of different types of traffic instructions on the traffic routes is analyzed and calculated. The formula is as follows: In the formula, DS(i|TR j ) indicates the type mark of traffic instruction information TI i On the traffic route TR j The anomaly on shows the risk level, IF[·] represents the counting function. is an empty set, then let like is not an empty set, then Indicates display of classification clusters The number of displays included in the Evaluate and calculate the traffic route TR based on the risk level displayed by the anomaly j The AI ​​security situation awareness capability is as follows: In the formula, SC(TR j ) indicates the traffic route TR j The AI ​​security situation awareness capability on , μ represents the average value of the risk level of abnormal display, and σ 2 The variance represents the degree of risk that the anomaly indicates, and 5. The AI ​​security situation awareness and protection method for outdoor highway display content according to claim 4 is characterized in that: The specific implementation process of step S4 includes: Based on the AI ​​security situation awareness capability, the protection degree of the intrusion range of highway outdoor display is analyzed and calculated. The formula is as follows: Where RS represents the protection degree of the range of intrusion of highway outdoor display, max{·} represents the maximum value symbol, J represents the total number of traffic routes, and P is the preset protection safety factor; A protection warning threshold is preset. If the range protection degree is greater than or equal to the protection warning threshold, a warning prompt will be issued to the staff port.

6. An AI safety situation awareness and protection system for outdoor display content on highways, characterized in that: The system includes: an information display module, a sample classification module, an intrusion detection processing module and an early warning analysis module; The display information module uses the AI ​​cloud platform to separately file the display and traffic indication information, and records the display status of the display tasks remotely controlled by the staff backend in real time to form a dynamic display behavior cluster; The sample classification module, based on the traffic road network in the city, classifies the dynamic display behavior clusters by identifying the locations where the displays are set on the roadside, and generates a display sample set; The intrusion detection processing module locks the display sample set through the intrusion log of the display recorded by the AI ​​cloud platform, and analyzes the abnormal display risk level of different types of traffic indication information on the traffic route; based on the abnormal display risk level, evaluates the AI ​​security situation awareness capability on each traffic route; The early warning analysis module, based on the AI ​​security situation awareness capability, analyzes the protection level of the outdoor display of the highway being invaded and issues a real-time early warning.

7. The AI ​​safety situation awareness and protection system for outdoor highway display content according to claim 6 is characterized by: The display information module includes a filing unit and a dynamic behavior statistics unit; The file-forming unit files all the displays put into use. The displays are set on the side of the road and are used to display traffic instructions. The displays are composed of at least two display screens. The traffic instructions are designed by the staff and are marked with the type of traffic instructions based on the type of traffic instructions, which is recorded as TI. i , where i represents the type tag number; The dynamic behavior statistics unit is used to establish a dynamic display behavior cluster, wherein the display behavior refers to a display task remotely controlled by a staff member at the back end, wherein the display task refers to controlling different displays to display the same traffic indication information, and based on the type mark TI of the traffic indication information i , forming the dynamic display behavior cluster, denoted as D r (TI i )={S e |e∈[1,E], where D r (TI i ) represents the dynamic display behavior cluster corresponding to the execution of the r-th display task, Se represents the e-th display in the file, and E represents the total number of displays.

8. The AI ​​safety situation awareness and protection system for outdoor highway display content according to claim 7 is characterized by: The method for generating the display sample set includes: The traffic road network in the city is obtained and archived, and the traffic route network is adaptively compiled based on the position of the display set on the roadside. The compilation method is as follows: The jth traffic route is denoted as TR j , based on the dynamic display behavior cluster D r (TI i ), for traffic route TR j The displays on the display are classified to obtain the display classification cluster, which is recorded as and And constitute the traffic route TR j The display sample set is denoted as Where I represents the maximum value of the type tag number.

9. The AI ​​safety situation awareness and protection system for outdoor highway display content according to claim 8 is characterized by: The intrusion detection processing module includes an intrusion log unit, a risk assessment unit and a perception analysis unit; The intrusion log unit records the intrusion log of each display in real time through the AI ​​cloud platform. The intrusion means that during the execution of the display task, the display does not display the content according to the traffic instruction information designed by the staff. The intrusion log records the type mark of the traffic instruction information designed by the staff for display on the display, and the traffic route where the display is located; The risk assessment unit locks the display sample set based on the intrusion log and the traffic route where the display is located. Then the display sample set K(TR j ); Based on the locking behavior, the abnormal display risk level of different types of traffic instructions on the traffic routes is analyzed and calculated. The formula is as follows: In the formula, DS(i|TR j ) indicates the type mark of traffic instruction information TI i On the traffic route TR j The anomaly on shows the risk level, IF[·] represents the counting function. is an empty set, then let like is not an empty set, then Indicates display of classification clusters The number of displays included in the The perception analysis unit evaluates and calculates the traffic route TR based on the abnormal display risk level j The AI ​​security situation awareness capability is as follows: In the formula, SC(TR j ) indicates the traffic route TR j The AI ​​security situation awareness capability on , μ represents the average value of the risk level of abnormal display, and σ 2 The variance represents the degree of risk that the anomaly indicates, and 10. The AI ​​safety situation awareness and protection system for outdoor highway display content according to claim 9 is characterized in that: The early warning analysis module includes an intrusion range analysis unit and an early warning prompt unit; The intrusion range analysis unit analyzes and calculates the intrusion range protection degree of the highway outdoor display based on the AI ​​security situation awareness capability, and the formula is as follows: Where RS represents the protection degree of the range of intrusion of highway outdoor display, max{·} represents the maximum value symbol, J represents the total number of traffic routes, and P is the preset protection safety factor; The early warning prompt unit is used to preset a protection early warning threshold. If the range protection degree is greater than or equal to the protection early warning threshold, an early warning prompt is issued to the staff port.

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