Intelligent advertisement putting method and system based on positioning

Abstract

The invention provides an intelligent advertisement putting method and system based on positioning, and the method comprises the steps: setting an advertisement library which comprises advertisement contents, putting parameters and put geo-fencing regions, each geo-fencing region having a definite geographical position boundary, and dividing each geo-fencing region into a plurality of sub-regions; defining a plurality of time windows according to the set sub-regions, and setting an advertisement display brightness model according to the current time window and the environment illumination intensity; determining overlapping areas of different advertisements in the sub-areas in the same time window, and respectively scoring the advertisements in the overlapping areas according to a comprehensive benefit scoring model; formulating an advertisement putting strategy according to the comprehensive benefit score of the advertisement in the overlapping area, and selecting a corresponding advertisement from an advertisement library according to the advertisement putting strategy for display; advertisement display data are collected for effect analysis, advertisement putting is more scientific through fine management, and the overall benefits of advertisements are improved.

Description

Technical Field

[0001] The present invention relates to the field of mobile Internet advertising technology, and in particular to a positioning-based intelligent advertising delivery method and system. Background Art

[0002] Traditional advertising often fails to achieve highly accurate target market positioning, especially in the field of tour buses with high mobility and wide geographical coverage, and cannot effectively display advertisements to audiences in specific areas. In recent years, location-based services (LBS) advertising has begun to emerge, which can push relevant advertisements based on the user's geographical location information, but the existing LBS advertising system has the following problems:

[0003] On the one hand, although the existing geo-fencing technology can define a certain range of advertising delivery areas, it cannot be refined to the sub-region level, resulting in inaccurate advertising delivery and possible coverage of non-target audiences. On the other hand, the choice of time period for advertising display often depends on the subjective judgment of advertisers, without fully considering the impact of time factors on advertising effectiveness, such as crowd density and ambient lighting conditions in different time periods.

[0004] In addition, in areas where multiple advertisements overlap, how to allocate advertising resources fairly and efficiently becomes a difficult problem, especially when multiple advertisements are displayed in limited advertising spaces. There is a lack of effective evaluation and sorting mechanisms, and the brightness adjustment of the on-board advertising screen usually does not take into account changes in ambient light, resulting in advertisements that are too bright in dim environments or unclear in strong light.

[0005] Therefore, there is an urgent need for a positioning-based intelligent advertising delivery method and system that can overcome the above-mentioned problems, so as to achieve more accurate, efficient and humanized advertising delivery. Summary of the invention

[0006] In view of the shortcomings of the prior art described above, an object of the present invention is to provide a positioning-based intelligent advertising delivery method and system to solve the problems in the prior art of inaccurate advertising delivery and the brightness of the advertising screen not taking into account the ambient light.

[0007] To achieve the above objectives and other related objectives, the present invention provides the following technical solutions:

[0008] A positioning-based intelligent advertising delivery method, comprising:

[0009] S1, setting an advertisement library, including advertisement content, delivery parameters, and geographic fence areas for delivery, each geographic fence area having a clear geographic location boundary, and each geographic fence area is divided into a number of sub-areas;

[0010] S2, defining multiple time windows according to the set sub-areas, and setting the advertisement display brightness model according to the current time window and the ambient light intensity;

[0011] S3, identifying the overlapping areas of different advertisements in the sub-area within the same time window, and scoring the advertisements in the overlapping areas separately according to the comprehensive benefit scoring model;

[0012] S4, formulating an advertisement placement strategy according to the comprehensive benefit scores of the advertisements in the overlapping area, and selecting corresponding advertisements from the advertisement library for display according to the advertisement placement strategy;

[0013] S5, collect advertising display data for effect analysis, and optimize advertising delivery strategies based on the analysis results.

[0014] Preferably, the S1 includes:

[0015] Establish an advertisement library, classify and label the advertisements in the advertisement library, and obtain advertisements with different labels;

[0016] Define the delivery parameters for each ad, including but not limited to delivery frequency, daily display limit, ad budget, ad start time and end time;

[0017] Setting at least one geo-fenced area, the geo-fenced area including a defined central location, a circular area with the central location as the center, or an irregular area set according to the latitude and longitude coordinates of a boundary point;

[0018] Sub-areas are divided according to building features, pedestrian flow information, and vehicle flow information in the set geographic fence area.

[0019] Preferably, the S2 includes:

[0020] Get the ambient light intensity at the vehicle's current location;

[0021] Determine the brightness adjustment factor of the current time window;

[0022] The advertisement display brightness model is calculated based on the brightness adjustment factor of the current time window and the ambient light intensity;

[0023] The advertisement display brightness model is obtained in the following manner:

[0024]

[0025] Among them, B is the display brightness of advertisement; F t is the adjustment factor of the current time window; L min is the minimum value of ambient light intensity; L max is the maximum value of ambient light intensity; B min is the minimum value of the advertisement display brightness; Bmax is the maximum value of the advertisement display brightness; L is the ambient brightness measured in real time.

[0026] Preferably, S3 includes:

[0027] Set different advertising unit price coefficients according to the sub-area where the vehicle is located and the current time window;

[0028] Identify the overlapping areas of different advertisements in the same time window within the sub-area, and design a comprehensive benefit scoring model for the advertisements in the overlapping areas;

[0029] The comprehensive benefit scoring model is obtained in the following way:

[0030] S i =w1×r i +w2×c i +w3×e i ×k t +w4×n i +w5×t i

[0031]

[0032] Among them, S i is the comprehensive benefit score, r i Score the relevance of the i-th advertisement to the current overlapping area and time window, c i Score the conversion effect of the i-th ad based on the historical data of ads with the same label, the same sub-region, and the same time window, e i Score the cost-effectiveness of the i-th advertisement, cost i Score the cost of placing the i-th advertisement, k t is the unit price coefficient of the current time window, n i Score the novelty of the i-th advertisement, t i is the bid score of the ith advertisement, w1, w2, w3, w4, w5 are the weight coefficients of each evaluation index.

[0033] Preferably, the S4 includes:

[0034] Dynamically update the comprehensive benefit score of advertisements in the overlapping area based on the real-time location and time window of the vehicle;

[0035] According to the comprehensive benefit scores, the advertisements in the overlapping area are sorted according to the sorting strategy and in a monotonically decreasing order to obtain a sorting result;

[0036] Formulate advertising delivery strategies based on the ranking results for intelligent advertising display;

[0037] Ad placement strategies include preferential display and sequential display, specifically:

[0038]

[0039] MaxS i is the maximum value of the comprehensive benefit score, R i is the ratio between the comprehensive benefit score of the ith advertisement and the maximum comprehensive benefit score;

[0040] When 0.8≤R i ≤1, display ads in the order of ad ranking results;

[0041] When R i <0.8, select MaxS i The corresponding advertisements are displayed preferentially.

[0042] Preferably, the sorting strategy specifically includes the following steps:

[0043] B1, classify and label the advertisements in the overlapping area according to preset labels;

[0044] B2, select the advertisements with the highest comprehensive benefit scores in different tags and form the first sequence in monotonically decreasing order;

[0045] B3, the remaining advertisements with the highest comprehensive benefit scores in different tags are arranged in a monotonically decreasing order to form a second sequence;

[0046] B4, repeat step B3 until all advertisements in the overlapping area are sorted.

[0047] The present application provides a positioning-based intelligent advertising delivery system, the system comprising:

[0048] Advertisement library, used to store and manage advertisement content and related delivery parameters. Each advertisement content is associated with at least one geo-fenced area.

[0049] Advertisement labeling module, which classifies and labels advertisements in the advertisement library to obtain advertisements with different labels;

[0050] The region management module is used to set the geo-fenced region and divide the geo-fenced region into sub-regions; the time window management module is used to define and manage the time window;

[0051] The brightness adjustment module sets the advertisement display brightness according to the current time window and ambient light intensity; the positioning module is used to collect the vehicle's geographic location information in real time;

[0052] An advertisement delivery module delivers set advertisement content to a vehicle when the vehicle enters a set geographic fence area and is at a set time;

[0053] The strategy setting module sets a comprehensive benefit scoring model based on the overlapping areas of different advertisements in the same time window, and formulates an advertising delivery strategy based on the comprehensive benefit scoring model;

[0054] Advertising effect analysis module, which collects advertising display data and user feedback data, analyzes the effect, and makes adjustments and optimizations as needed;

[0055] The comprehensive benefit scoring model is as follows:

[0056] S i =w1×r i +w2×c i +w3×e i ×k t +w4×n i +w5×t i

[0057]

[0058] Among them, S i is the comprehensive benefit score, r i Score the relevance of the i-th advertisement to the current overlapping area and time window, c i Score the conversion effect of the i-th ad based on the historical data of ads with the same label, the same sub-region, and the same time window, e i Score the cost-effectiveness of the i-th advertisement, cost i Score the cost of placing the i-th advertisement, k t is the unit price coefficient of the current time window, n i Score the novelty of the i-th advertisement, t i is the bid score of the ith advertisement, w1, w2, w3, w4, w5 are the weight coefficients of each evaluation index.

[0059] Preferably, the brightness adjustment module includes:

[0060] Ambient light acquisition module, which collects the ambient light intensity around the vehicle;

[0061] A brightness setting module sets an advertisement display brightness model according to the brightness adjustment factor of the current time window and the ambient light intensity of the current vehicle location, and determines a current advertisement brightness setting value according to the advertisement display brightness model;

[0062] Advertisement brightness collection module, used to collect the actual display brightness of the advertisement and determine the actual value;

[0063] The fault detection module compares the actual value of the advertisement brightness with the set value to obtain a comparison result, and determines whether the comparison result is within the set threshold. If not, a fault report is generated to the system;

[0064] The advertising display brightness model is as follows:

[0065]

[0066] B advertisement display brightness; F t is the adjustment factor of the current time window; L min is the minimum value of ambient light intensity; L max is the maximum value of ambient light intensity; B min is the minimum value of the advertising display brightness model; B max is the maximum value of the advertising display brightness model; L is the ambient brightness measured in real time.

[0067] Preferably, the area management module includes:

[0068] A geo-fence management module for defining and managing geo-fence areas;

[0069] A sub-area division module divides the geographical fence area into several sub-areas according to the building characteristics, pedestrian flow information and vehicle flow information;

[0070] The area determination module determines the sub-area where the vehicle is located based on the collected vehicle location information;

[0071] The overlapping area processing module determines the overlapping areas of different advertisements in the sub-area within the same time window, and selects corresponding advertisements from the advertisement library for display based on the comprehensive benefit scoring model and the set advertisement delivery strategy for the advertisements in the overlapping area.

[0072] Preferably, the time window management module includes:

[0073] First time management module: divide dates into first time groups according to working days and holidays;

[0074] The second time management module divides the first time group into the second time group according to day and night;

[0075] The third time management module divides the second time group into a third time group according to the pedestrian flow information and vehicle flow information.

[0076] As described above, the present invention provides a method and system for intelligent advertising delivery based on positioning, which has the following features:

[0077] Beneficial effects:

[0078] 1. Precisely targeted delivery: By setting geographic fence areas and sub-areas, ads are ensured to be displayed only in specific locations, which improves the geographical targeting of ads, making them more likely to attract target audiences and increase conversion rates.

[0079] 2. Intelligent brightness adjustment: Automatically adjust the advertising display brightness according to the ambient light intensity and time window, which not only ensures the visibility of the advertisement under different lighting conditions, but also avoids energy waste and improves the user experience.

[0080] 3. Dynamic advertising strategy: By updating the comprehensive benefit score of the advertisement in real time, the advertising delivery strategy can be dynamically adjusted according to the vehicle location and time window to achieve the optimal configuration of advertising resources.

[0081] 4. Enhanced adaptability: The system can adjust advertising delivery strategies based on pedestrian and vehicle traffic information in different time periods and geographical locations, enhancing the system's adaptability and flexibility.

[0082] 5. Fault detection and maintenance: The fault detection function in the brightness adjustment module can promptly detect and report the deviation between the actual value of the advertisement brightness and the set value, ensuring the consistency and stability of the advertisement display.

[0083] 6. Refined management: Refined management of the advertising library, time window, geographic fence management module, etc. makes advertising delivery more scientific, reduces invalid delivery, and improves the overall effectiveness of advertising.

[0084] In summary, the positioning-based intelligent advertising delivery method and system provided by the present invention realize accurate, efficient and intelligent advertising delivery, improve the economic and social benefits of advertising, and also provide users with a more personalized and comfortable advertising viewing experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] Figure 1 Shown is a schematic diagram of a positioning-based intelligent advertising delivery method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0086] The following describes the embodiments of the present invention through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0087] See also Figure 1 The present invention provides a positioning-based intelligent advertising delivery method, comprising:

[0088] S1, setting an advertisement library, including advertisement content, delivery parameters, and geographic fence areas for delivery, each geographic fence area having a clear geographic location boundary, and each geographic fence area is divided into a number of sub-areas;

[0089] S2, defining multiple time windows according to the set sub-areas, and setting the advertisement display brightness model according to the current time window and the ambient light intensity;

[0090] S3, identifying the overlapping areas of different advertisements in the sub-area within the same time window, and scoring the advertisements in the overlapping areas separately according to the comprehensive benefit scoring model;

[0091] S4, formulating an advertisement placement strategy according to the comprehensive benefit scores of the advertisements in the overlapping area, and selecting corresponding advertisements from the advertisement library for display according to the advertisement placement strategy;

[0092] S5, collect advertising display data for effect analysis, and optimize advertising delivery strategies based on the analysis results.

[0093] The principle of the above technical solution is as follows: the method is provided with an advertisement library including advertisement content, delivery parameters and geographic fence areas. The advertisement library stores a variety of advertisement content, including text, picture, video and other formats, and further subdivides each geographic fence area into multiple sub-areas to more accurately control the display range of advertisements. The sub-areas take into account the differences in pedestrian flow, vehicle flow and user behavior; according to the characteristics of the sub-areas, multiple time windows are defined, such as weekdays and weekends, daytime and nighttime, etc., to adapt to different user behavior patterns; based on the current time window and the ambient light intensity, the brightness model of advertisement display is set to ensure that the advertisement can be presented to the user in the best state under different lighting conditions, thereby improving the viewing experience and advertisement effect; within the same time window, the advertisements in the overlapping areas are scored for comprehensive benefits, and an advertisement delivery strategy is formulated and implemented accordingly, and appropriate advertisements are selected from the advertisement library for display according to the advertisement delivery strategy to ensure that the advertisements are displayed to the target audience at the most favorable time and place; finally, the advertisement display data is collected and analyzed, and the advertisement delivery strategy is adjusted according to the analysis results, such as modifying the advertisement content, adjusting the delivery parameters or redefining the geographic fence area, in order to obtain better advertising effects.

[0094] The beneficial effects of the above technical solution are as follows: by incorporating advertising content, delivery parameters and geographic fence areas into a unified advertising library management, efficient allocation and precise control of advertising resources can be achieved. The application of geographic fence areas ensures that advertisements are only displayed within specific geographical location boundaries, greatly improving the positioning accuracy of advertisements and increasing the contact rate of target audiences; the sub-areas are divided into multiple time windows. Because the ambient brightness, pedestrian and vehicle traffic conditions in different time windows are different, the benefit is that the in-vehicle advertisements can automatically adjust the advertisement display brightness according to the ambient brightness and time windows, improve the visual experience, and reduce energy waste; different advertisements may have overlapping areas in the same time window and the same sub-area, so a comprehensive benefit scoring model is set up to score the advertisements in the overlapping areas, and after scoring, the corresponding advertisements are selected from the advertising library for intelligent display according to the advertising delivery strategy. The setting of the comprehensive benefit scoring model can help screen the most effective advertisements and improve the return on investment; through effect analysis, the iteration of advertising delivery strategies can be promoted to ensure the best long-term advertising effect.

[0095] In some embodiments, the S1 includes:

[0096] Establish an advertisement library, classify and label the advertisements in the advertisement library, and obtain advertisements with different labels;

[0097] Define the delivery parameters for each ad, including but not limited to delivery frequency, daily display limit, ad budget, ad start time and end time;

[0098] Setting at least one geo-fenced area, the geo-fenced area including a defined central location, a circular area with the central location as the center, or an irregular area set according to the latitude and longitude coordinates of a boundary point;

[0099] Sub-areas are divided according to building features, pedestrian flow information, and vehicle flow information in the set geographic fence area.

[0100] The principle and effect of the above technical solution are as follows: by labeling and classifying the advertisements in the advertisement library, the advertisement system can be more accurately matched to the interested groups, and the system can quickly search, filter and adjust the advertisement display strategy according to the labels, so as to improve the effect analysis of similar advertisements in the future; the advertisement delivery parameters can be customized according to the needs of customers, and the setting of the advertisement budget can help advertisers better control the advertisement expenditure. At the same time, the delivery time can ensure the display during the traffic or pedestrian flow period, and the setting of the delivery frequency can avoid excessive exposure of advertisements, which helps to keep the freshness of advertisements; the geographic fence area can be customized according to the advertiser's needs. It can be intelligently customized according to the needs. For example, for a supermarket opening advertisement, it can be within a 5-kilometer radius around the supermarket as the midline, or irregular areas can be set according to the streets and communities around the supermarket. In addition, by dividing the geo-fenced area into sub-areas, such as dividing the geo-fenced area into urban areas or suburbs, or more finely dividing it into residential areas, industrial areas, schools, etc., and formulating different advertising strategies according to the pedestrian and vehicle flow information, such as increasing the unit price of advertisements in crowded areas and increasing the display frequency, while reducing the unit price of advertisements and the display frequency in areas with less pedestrian and vehicle flow. In addition, it can be intelligently delivered according to the characteristics of the population.

[0101] In some embodiments, the S2 includes:

[0102] Get the ambient light intensity at the vehicle's current location;

[0103] Determine the brightness adjustment factor of the current time window;

[0104] The advertisement display brightness model is calculated based on the brightness adjustment factor of the current time window and the ambient light intensity;

[0105] The advertisement display brightness model is obtained in the following manner:

[0106]

[0107] Among them, B is the display brightness of advertisement; F t is the adjustment factor of the current time window; L min is the minimum value of ambient light intensity; L max is the maximum value of ambient light intensity; B min is the minimum value of the advertisement display brightness; B max is the maximum value of the advertisement display brightness; L is the ambient brightness measured in real time.

[0108] The principle and effect of the above technical solution are: different time windows can set different adjustment factors, such as F t: Morning = 0.5, noon = 0.3, evening = 0.6, night = 1. The advantage of this setting is that for the night time window, the brightness of the advertising display device is increased to enhance visibility, and for the noon time window, the brightness is reduced to avoid excessive reflection and energy waste. For the morning and evening, the brightness is adjusted appropriately to maintain the clarity of the advertising content. Through the setting of the advertising display brightness model, the advertising display brightness can be intelligently adjusted according to the ambient light intensity and the current time window. At the same time, the brightness adjustment process adopts a progressive adjustment strategy, that is, the adjustment of the display brightness is carried out in a smooth transition manner to avoid sudden changes in brightness causing discomfort to the public. Therefore, the setting of the advertising display brightness model can provide more precise brightness control and a better visual experience.

[0109] In some embodiments, the S3 includes:

[0110] Set different advertising unit price coefficients according to the sub-area where the vehicle is located and the current time window; identify the overlapping areas of different advertisements in the sub-area within the same time window, and design a comprehensive benefit scoring model for the advertisements in the overlapping areas;

[0111] The comprehensive benefit scoring model is obtained in the following way:

[0112] S i =w1×r i +w2×c i +w3×e i ×k t +w4×n i +w5×t i

[0113]

[0114] Among them, S i is the comprehensive benefit score, r i Score the relevance of the i-th advertisement to the current overlapping area and time window, c i Score the conversion effect of the i-th ad based on the historical data of ads with the same label, the same sub-region, and the same time window, e i Score the cost-effectiveness of the i-th advertisement, cost i Score the cost of placing the i-th advertisement, k t is the unit price coefficient of the current time window, n i Score the novelty of the i-th advertisement, t i is the bid score of the ith advertisement, w1, w2, w3, w4, w5 are the weight coefficients of each evaluation index.

[0115] The principle and effect of the above technical solution are: by setting different advertising unit price coefficients k t, the system can automatically adjust the cost of advertising according to the characteristics of the specific sub-area where the vehicle is located and the current time window. This means that in sub-areas and time windows with large traffic and high attention, the advertising value is higher, and the unit price coefficient is naturally adjusted up, and vice versa. For example, the time window can be divided into working hours, commuting time, and lunch break in a day. During commuting time, due to the large flow of people and vehicles, the number of times the advertisement is viewed will be relatively large, so the unit price coefficient can be appropriately increased. During working hours or lunch breaks, the probability of an advertisement being viewed will be lower, so the unit price coefficient can be appropriately reduced. The comprehensive benefit scoring model not only considers the relevance of the advertisement to the current situation, but also takes into account the relevance of the advertisement to the current situation. i , historical data effect score c i , cost-effectiveness score i , novelty score n i , bid score t i , making the selection and sorting of advertisements more scientific and reasonable; considering the unit price coefficient k of the current time window t It ensures that the brightness, timing and content of advertising display always match the external conditions. This dynamic adjustment capability enables advertisements to reach the target audience at the most appropriate time and in the most appropriate form, thereby increasing the attractiveness and influence of the advertisements.

[0116] In some embodiments, the S4 includes:

[0117] Dynamically update the comprehensive benefit score of advertisements in the overlapping area based on the real-time location and time window of the vehicle;

[0118] According to the comprehensive benefit scores, the advertisements in the overlapping area are sorted according to the sorting strategy and in a monotonically decreasing order to obtain a sorting result;

[0119] Formulate advertising delivery strategies based on the ranking results for intelligent advertising display;

[0120] Ad placement strategies include preferential display and sequential display, specifically:

[0121]

[0122] MaxS i is the maximum value of the comprehensive benefit score, R i is the ratio between the comprehensive benefit score of the ith advertisement and the maximum comprehensive benefit score;

[0123] When 0.8≤R i ≤1, display ads in the order of ad ranking results;

[0124] When R i <0.8, select MaxS i The corresponding advertisements are displayed preferentially.

[0125] The principle and effect of the above technical solution are as follows: since the time window and the position of the vehicle are constantly changing, different advertisements in the overlapping area will update the comprehensive benefit score in real time according to the comprehensive benefit scoring model to achieve the best display. Through preferential display and sequential display, advertisements with relatively high scores can be played sequentially; advertisements with very low scores will not be displayed, and advertisements with higher scores will be selected for display. Preferential display can ensure that high-value advertisements are displayed preferentially and improve investment returns.

[0126] In some embodiments, the sorting strategy specifically includes the following steps:

[0127] B1, classify and label the advertisements in the overlapping area according to preset labels;

[0128] B2, select the advertisements with the highest comprehensive benefit scores in different tags and form the first sequence in monotonically decreasing order;

[0129] B3, the remaining advertisements with the highest comprehensive benefit scores in different tags are arranged in a monotonically decreasing order to form a second sequence;

[0130] B4, repeat step B3 until all advertisements in the overlapping area are sorted.

[0131] The principle and effect of the above technical solution are as follows: by classifying and labeling the advertisements in the overlapping area with preset labels, the system can segment them according to the content, target audience or type of advertisement, which helps to match user interests more accurately. By selecting the advertisements with the highest comprehensive benefit scores in different labels and forming the first sequence, the system can give priority to displaying those advertisements that are expected to bring the greatest benefits. The remaining advertisements are formed into a second sequence according to the labels and comprehensive benefit scores, and this process is repeated until all advertisements are sorted. This strategy can avoid the continuous display of similar advertisements, so that all types of advertisements have the opportunity to be displayed, increase the diversity of advertising content, and reduce the audience's visual fatigue.

[0132] In some embodiments, the present application provides a location-based intelligent advertising delivery system, the system comprising:

[0133] Advertisement library, used to store and manage advertisement content and related delivery parameters. Each advertisement content is associated with at least one geo-fenced area.

[0134] Advertisement labeling module, which classifies and labels advertisements in the advertisement library to obtain advertisements with different labels;

[0135] A region management module, used to set a geo-fenced region and divide the geo-fenced region into sub-regions;

[0136] Time window management module, used to define and manage time windows;

[0137] Brightness adjustment module, which sets the advertisement display brightness according to the current time window and ambient light intensity;

[0138] Positioning module, used to collect the vehicle's geographic location information in real time;

[0139] An advertisement delivery module delivers set advertisement content to a vehicle when the vehicle enters a set geographic fence area and is at a set time;

[0140] Strategy setting module: Set a comprehensive benefit scoring model based on the overlapping areas of different advertisements in the same time window, and formulate advertising delivery strategies based on the comprehensive benefit scoring model;

[0141] Advertising effect analysis module, which collects advertising display data and user feedback data, analyzes the effect, and makes adjustments and optimizations as needed;

[0142] The comprehensive benefit scoring model is as follows:

[0143] S i =w1×r i +w2×c i +w3×e i ×k t +w4×n i +w5×t i

[0144]

[0145] Among them, S i is the comprehensive benefit score, r i Score the relevance of the i-th advertisement to the current overlapping area and time window, c i Score the conversion effect of the i-th ad based on the historical data of ads with the same label, the same sub-region, and the same time window, e i Score the cost-effectiveness of the i-th advertisement, cost i Score the cost of placing the i-th advertisement, k t is the unit price coefficient of the current time window, n i Score the novelty of the i-th advertisement, t i is the bid score of the ith advertisement, w1, w2, w3, w4, w5 are the weight coefficients of each evaluation index.

[0146] The principles and effects of the above technical solutions are as follows: the establishment and management of the advertising library ensures the organization and traceability of the advertising content, making it convenient for advertisers to update and adjust advertising materials at any time; through the setting of the advertising tagging module, the system can automatically identify and classify advertisements, and achieve more accurate user positioning and advertising push; through the setting of the regional management module, advertisements can be bound to specific geographical areas to ensure that the advertisements are only displayed in the target area, and at the same time, through the division of more fine-grained sub-areas, the characteristics of different areas can be captured, such as traffic flow, consumption habits, etc., to improve the regional targeting and effectiveness of advertisements; through the time window management module, advertisements can be delivered to the time when the audience is more active, thereby improving the visibility and views of advertisements; through the brightness adjustment module The setting of the block can ensure that the advertisements can be presented in the best state under different lighting conditions, improve user experience and reduce energy consumption; through the setting of the positioning module, the vehicle's location information can be collected in real time to ensure that the advertisements can be displayed immediately when they reach the corresponding geographical area, enhancing the timeliness and relevance of the advertisements; the advertising delivery module, when the vehicle enters the set geographical fence area and time window, the advertisements can be quickly delivered to grasp the best display opportunity; the strategy setting module, through the comprehensive benefit scoring model, ensures the optimal configuration of advertising resources, can quickly respond to changes in areas and time windows, and improve the return on advertising investment; the advertising effect analysis module can collect advertising display data and user feedback, facilitate timely adjustment of strategies and improve advertising effects.

[0147] In some embodiments, the brightness adjustment module includes:

[0148] Ambient light acquisition module, which collects the ambient light intensity around the vehicle;

[0149] A brightness setting module sets an advertisement display brightness model according to the brightness adjustment factor of the current time window and the ambient light intensity of the current vehicle location, and determines a current advertisement brightness setting value according to the advertisement display brightness model;

[0150] Advertisement brightness collection module, used to collect the actual display brightness of the advertisement and determine the actual value;

[0151] The fault detection module compares the actual value of the advertisement brightness with the set value to obtain a comparison result, and determines whether the comparison result is within the set threshold. If not, a fault report is generated to the system;

[0152] The advertising display brightness model is as follows:

[0153]

[0154] B advertisement display brightness; F t is the adjustment factor of the current time window; L min is the minimum value of ambient light intensity; Lmax is the maximum value of ambient light intensity; B min is the minimum value of the advertising display brightness model; B max is the maximum value of the advertising display brightness model; L is the ambient brightness measured in real time.

[0155] The principles and effects of the above technical solution are as follows: the ambient light acquisition module and the brightness setting module monitor the light intensity of the vehicle's surrounding environment in real time, and the system automatically adjusts the brightness of the advertising screen to ensure that the advertisement is clearly visible under any lighting conditions, thereby improving the viewing experience and effect of the advertisement. The advertising brightness acquisition module can monitor the brightness output of the advertising screen in real time, which helps to promptly discover and correct display problems and ensure the accurate delivery of advertising information; the fault detection module reduces advertising interruptions or incorrect displays due to faults by comparing the set value and actual value of the advertising brightness, thereby improving customer satisfaction and the overall credibility of the advertising platform.

[0156] In some embodiments, the area management module includes:

[0157] A geo-fence management module for defining and managing geo-fence areas;

[0158] A sub-area division module divides the geographical fence area into several sub-areas according to the building characteristics, pedestrian flow information and vehicle flow information;

[0159] The area determination module determines the sub-area where the vehicle is located based on the collected vehicle location information;

[0160] The overlapping area processing module determines the overlapping areas of different advertisements in the sub-area within the same time window, and selects corresponding advertisements from the advertisement library for display based on the comprehensive benefit scoring model and the set advertisement delivery strategy for the advertisements in the overlapping area.

[0161] The principle and effect of the above technical solution are as follows: through the geographic fence management module and the sub-area division module, the system can subdivide the geographic fence management module into multiple sub-areas according to the specific environment in the geographic fence area (such as building distribution, pedestrian density, and traffic conditions), thereby realizing refined advertising delivery and ensuring that the advertising content is highly relevant to the current area. The area determination module ensures that the system can accurately determine the sub-area where the vehicle is located, and thus provide more accurate advertising content to the audience in the specific sub-area; the overlapping area processing module optimizes the advertising display in the overlapping area through a comprehensive benefit scoring model and advertising delivery strategy to ensure the optimization of advertising display.

[0162] In some embodiments, the time window management module includes:

[0163] The first time management module divides dates into first time groups according to working days and holidays;

[0164] A second time management module divides the first time group into a second time group according to day and night;

[0165] The third time management module divides the second time group into a third time group according to the pedestrian flow information and the vehicle flow information.

[0166] The principles and effects of the above technical solution are as follows: the first time management module, by dividing dates into weekdays and holidays, can deliver advertisements more accurately according to people's consumption habits and activity patterns on different types of days; the second time management module, divides the first time group into day and night, taking into account light changes and people's pace of life. For example, advertisements at night require brighter displays or more attention-grabbing advertising content. In addition, people's activity locations and needs may be different in different time periods. For example, night advertisements may focus more on catering, nightlife or online services; the third time management module, adjusts advertising strategies based on real-time pedestrian and vehicle flow information, so that advertisements can respond to market changes in real time, such as increasing exposure during periods of high pedestrian flow, or displaying travel-related advertisements during peak traffic hours.

[0167] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the present invention. All equivalent modifications or changes made by those skilled in the art without departing from the spirit and technical ideas disclosed in the present invention shall still be covered by the claims of the present invention.

Claims

1. A positioning-based intelligent advertising delivery method, characterized in that: include: S1, setting an advertisement library, including advertisement content, delivery parameters, and geographic fence areas for delivery, each geographic fence area having a clear geographic location boundary, and each geographic fence area is divided into a number of sub-areas; S2, defining multiple time windows according to the set sub-areas, and setting the advertisement display brightness model according to the current time window and the ambient light intensity; S3, identifying the overlapping areas of different advertisements in the sub-area within the same time window, and scoring the advertisements in the overlapping areas separately according to the comprehensive benefit scoring model; S4, formulating an advertisement placement strategy according to the comprehensive benefit scores of the advertisements in the overlapping area, and selecting corresponding advertisements from the advertisement library for display according to the advertisement placement strategy; S5, collect advertising display data for effect analysis, and optimize advertising delivery strategies based on the analysis results.

2. The method for intelligent advertising based on positioning according to claim 1, characterized in that: The S1 includes: Establish an advertisement library, classify and label the advertisements in the advertisement library, and obtain advertisements with different labels; Define the delivery parameters for each ad, including but not limited to delivery frequency, daily display limit, ad budget, ad start time and end time; Setting at least one geo-fenced area, the geo-fenced area including a defined central location, a circular area with the central location as the center, or an irregular area set according to the latitude and longitude coordinates of a boundary point; Sub-areas are divided according to building features, pedestrian flow information, and vehicle flow information in the set geographic fence area.

3. The method for intelligent advertising delivery based on positioning according to claim 1, characterized in that: The S2 includes: Get the ambient light intensity at the vehicle's current location; Determine the brightness adjustment factor of the current time window; The advertisement display brightness model is calculated based on the brightness adjustment factor of the current time window and the ambient light intensity; The advertisement display brightness model is obtained in the following manner: Among them, B is the display brightness of advertisement; F t is the adjustment factor of the current time window; L min is the minimum value of ambient light intensity; L max is the maximum value of ambient light intensity; B min is the minimum value of the advertisement display brightness; B max is the maximum value of the advertisement display brightness; L is the ambient brightness measured in real time.

4. The method for intelligent advertising delivery based on positioning according to claim 2, characterized in that: The S3 includes: Set different advertising unit price coefficients according to the sub-area where the vehicle is located and the current time window; Identify the overlapping areas of different advertisements in the same time window within the sub-area, and design a comprehensive benefit scoring model for the advertisements in the overlapping areas; The comprehensive benefit scoring model is obtained in the following way: S i =w1×r i +w2×c i +w3×e i ×k t +w4×n i +w5×t i Among them, S i is the comprehensive benefit score, r i Score the relevance of the i-th advertisement to the current overlapping area and time window, c i Score the conversion effect of the i-th ad based on the historical data of ads with the same label, the same sub-region, and the same time window, e i Score the cost-effectiveness of the i-th advertisement, cost i Score the cost of placing the i-th advertisement, k t is the unit price coefficient of the current time window, n i Score the novelty of the i-th advertisement, t i is the bid score of the ith advertisement, w1, w2, w3, w4, w5 are the weight coefficients of each evaluation index.

5. The method for intelligent advertising delivery based on positioning according to claim 1, characterized in that: The S4 includes: Dynamically update the comprehensive benefit score of advertisements in the overlapping area based on the real-time location and time window of the vehicle; According to the comprehensive benefit scores, the advertisements in the overlapping area are sorted according to the sorting strategy and in a monotonically decreasing order to obtain a sorting result; Formulate advertising delivery strategies based on the ranking results for intelligent advertising display; Ad placement strategies include preferential display and sequential display, specifically: MaxS i is the maximum value of the comprehensive benefit score, R i is the ratio between the comprehensive benefit score of the ith advertisement and the maximum comprehensive benefit score; When 0.8≤R i ≤1, display ads in the order of ad ranking results; When R i <0.8, select MaxS i The corresponding advertisements are displayed preferentially.

6. The method for intelligent advertising delivery based on positioning according to claim 5, characterized in that: The sorting strategy specifically includes the following steps: B1, classify and label the advertisements in the overlapping area according to preset labels; B2, select the advertisements with the highest comprehensive benefit scores in different tags and form the first sequence in monotonically decreasing order; B3, the remaining advertisements with the highest comprehensive benefit scores in different tags are arranged in a monotonically decreasing order to form a second sequence; B4, repeat step B3 until all advertisements in the overlapping area are sorted.

7. The positioning-based intelligent advertising delivery system according to claim 1, characterized in that: include: Advertisement library, used to store and manage advertisement content and related delivery parameters. Each advertisement content is associated with at least one geo-fenced area. Advertisement labeling module, which classifies and labels advertisements in the advertisement library to obtain advertisements with different labels; A region management module, used to set a geo-fenced region and divide the geo-fenced region into sub-regions; Time window management module, used to define and manage time windows; Brightness adjustment module, which sets the advertisement display brightness according to the current time window and ambient light intensity; Positioning module, used to collect the vehicle's geographic location information in real time; An advertisement delivery module delivers set advertisement content to a vehicle when the vehicle enters a set geographic fence area and is at a set time; The strategy setting module sets a comprehensive benefit scoring model based on the overlapping areas of different advertisements in the same time window, and formulates an advertising delivery strategy based on the comprehensive benefit scoring model; Advertising effect analysis module, which collects advertising display data and user feedback data, analyzes the effect, and makes adjustments and optimizations as needed; The comprehensive benefit scoring model is as follows: S i =w1×r i +w2×c i +w3×e i ×k t +w4×n i +w5×t i Among them, S i is the comprehensive benefit score, r i Score the relevance of the i-th advertisement to the current overlapping area and time window, c i Score the conversion effect of the i-th ad based on the historical data of ads with the same label, the same sub-region, and the same time window, e i Score the cost-effectiveness of the i-th advertisement, cost i Score the cost of placing the i-th advertisement, k t is the unit price coefficient of the current time window, n i Score the novelty of the i-th advertisement, t i is the bid score of the ith advertisement, w1, w2, w3, w4, w5 are the weight coefficients of each evaluation index.

8. The positioning-based intelligent advertising delivery system according to claim 7, characterized in that: The brightness adjustment module comprises: Ambient light acquisition module, which collects the ambient light intensity around the vehicle; A brightness setting module sets an advertisement display brightness model according to the brightness adjustment factor of the current time window and the ambient light intensity of the current vehicle location, and determines a current advertisement brightness setting value according to the advertisement display brightness model; Advertisement brightness collection module, used to collect the actual display brightness of the advertisement and determine the actual value; The fault detection module compares the actual value of the advertisement brightness with the set value to obtain a comparison result, and determines whether the comparison result is within the set threshold. If not, a fault report is generated to the system; The advertising display brightness model is as follows: B advertisement display brightness; F t is the adjustment factor of the current time window; L min is the minimum value of ambient light intensity; L max is the maximum value of ambient light intensity; B min is the minimum value of the advertising display brightness model; B max is the maximum value of the advertising display brightness model; L is the ambient brightness measured in real time.

9. The positioning-based intelligent advertising delivery system according to claim 7, characterized in that: The area management module includes: A geo-fence management module for defining and managing geo-fence areas; A sub-area division module divides the geographical fence area into several sub-areas according to the building characteristics, pedestrian flow information and vehicle flow information; The area determination module determines the sub-area where the vehicle is located based on the collected vehicle location information; The overlapping area processing module determines the overlapping areas of different advertisements in the sub-area within the same time window, and selects corresponding advertisements from the advertisement library for display based on the comprehensive benefit scoring model and the set advertisement delivery strategy for the advertisements in the overlapping area.

10. The positioning-based intelligent advertising delivery system according to claim 7, characterized in that: The time window management module includes: The first time management module divides dates into first time groups according to working days and holidays; A second time management module divides the first time group into a second time group according to day and night; The third time management module divides the second time group into a third time group according to the pedestrian flow information and the vehicle flow information.

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