Platform promotion system for big data service
By setting up high-definition cameras in the advertising area to identify pedestrian attributes and combining big data analysis to determine the display location and time of promotional information, the problem of randomness in advertising promotion effects is solved and more efficient advertising is achieved.
Patent Information
- Application Number
- CN202511101085.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-07
- Publication Date
- 2025-10-17
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the existing technology, advertising promotion cannot correspond well with potential users, resulting in random effects and failure to achieve the best promotion effect.
By distributing high-definition cameras to collect video image information, identify the gender and age of pedestrians, and combine big data analysis to determine the location and time of promotional information, promotional information is displayed preferentially in highly correlated areas within the regular time domain.
It improves the pertinence of advertising promotion, enhances the publicity effect, makes full use of advertising resources and achieves the best promotion effect.
Smart Images
Figure CN120807060A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application belongs to the technical field of advertisement promotion, and particularly relates to a platform promotion system for big data services. BACKGROUND
[0002] Advertisement promotion is an activity carried out by news media for selling advertisement pages and advertisement program time, in the prior art, advertisement is put through LED screens arranged in distribution, which is a common advertisement promotion method, compared with traditional putting method, the putting cost is reduced, video dynamic promotion information can be displayed, which is more attractive, and the advertisement information to be promoted can be changed quickly according to needs, the flexibility of advertisement promotion is improved. However, in the prior art, the putting of advertisement is random, the advertisement cannot be changed according to actual conditions, the playing of the advertisement does not have a good corresponding effect with potential users, and the putting effect of the advertisement cannot be reasonably evaluated and predicted, in order to solve the above problems, a method for putting the advertisement to be promoted according to changes in the surrounding environment is provided, so as to improve the propaganda effect of the advertisement, the present application provides the following technical scheme. SUMMARY
[0003] The present application aims to provide a platform promotion system for big data services, which solves the problem that the advertisement promotion in the prior art cannot have a good corresponding effect with potential users, the promotion effect of the advertisement has randomness, and the best promotion effect cannot be achieved.
[0004] The object of the present application can be achieved by the following technical scheme: A platform promotion system for big data services, comprising: A video information acquisition unit comprising a plurality of high-definition cameras arranged in distribution in a putting area, which acquires video image information in the corresponding area through each high-definition camera and transmits it to a storage unit; An identification unit for identifying the gender and age of a person appearing in the video image; A controller for determining the position and time of displaying the promotion information of the product to be promoted; A promotion terminal for displaying the promotion information of the product to be promoted; The method for determining the position and time of displaying the promotion information of the product to be promoted by the controller comprises the following steps: S1, obtaining the coordinate position of each putting point in the putting area, and marking a preset range based on the putting point as a monitoring sub-area, each monitoring sub-area is provided with a high-definition camera; The putting point refers to the position for installing the promotion terminal; S2. Divide the opening time of the delivery area within a cycle into k delivery time domains Ti; where 1≤i≤k; Obtaining video image information of the same delivery time domain within n consecutive periods in the storage unit, and marking the corresponding delivery time domain as a sample delivery time domain; Obtain pedestrian attributes of pedestrians passing through the corresponding monitoring sub-area in the sample delivery time domain within a cycle through the recognition unit; The pedestrian attributes include the pedestrian's gender and age A; Obtain the difference coefficient C between the attributes of pedestrians passing through the corresponding monitoring sub-area within the sample delivery time domain of the past n cycles; When C ≥ Cy1, it is considered that the sample delivery time domain in the corresponding monitoring sub-area is irregular; If C < Cy1, it is considered that the sample delivery time domain in the corresponding monitoring sub-area is a regular time domain, where Cy1 is a preset value; S3. Calculate and determine, in sequence according to the method in step S2, whether each delivery time domain is an irregular time domain or a regular time domain for each monitoring sub-area; S4. Obtaining the connection parameter D between each piece of publicity information and each rule time domain of each monitoring sub-area; S5. For a piece of publicity information, the rule time domains of the corresponding monitoring sub-areas are sorted in descending order according to the connection parameter D, and the rule time domain of the monitoring sub-area with the larger connection parameter D is given priority in displaying the corresponding publicity information.
[0005] As a further solution of the present invention, the calculation method of the difference coefficient C is: For a period of sample delivery, the pedestrian attributes of each pedestrian passing through the corresponding monitoring sub-area; Set m age groups Rj in order from young to old, where 1≤j≤m; Get the number of males and females in age group Rj; Obtain the number of males and females in each age group Rj corresponding to each period of sample delivery in sequence; The number of males in age group Rj is marked as a11, a12, ..., a1n; the number of females in age group Rj is marked as a01, a02, ..., a0n; According to the formula Calculate and obtain the consideration value Cj within the age group Rj during the sample delivery period; Where 1≤x≤n, a1p=(a11+a12+、…、+a1n) / n, a0p=(a01+a02+、…、+a0n) / n; Then according to the formula The difference coefficient C corresponding to the monitoring sub-area in the sample delivery time domain is calculated.
[0006] As a further scheme of the present application, the method for calculating the connection degree parameter D between a promotional information and a regular time domain of a monitoring sub-area is as follows: The age range and gender range covered by the target users corresponding to each promotional information are obtained. The corresponding regular time domain of the monitoring sub-area is marked as a marked time domain. When the sample delivery time domain is a regular time domain, the m a1ps are taken as the average number of males in each corresponding age range Rj, and the m a0ps are taken as the average number of females in each corresponding age range Rj. The average number of males and the average number of females in each age range in the marked time domain are obtained. The sum h1 of the number of people in the age range and gender range covered by the target users corresponding to the promotional information in the marked time domain is obtained, and the number h2 of people in the age range and gender range covered by the purchasing users corresponding to the promotional information is obtained. The connection degree parameter D between the promotional information and the marked time domain is calculated according to the formula D=h×(β1×h1+β2×h2). Where h is the sum of the average number of males and the average number of females in each age range Rj in the marked time domain.
[0007] As a further scheme of the present application, when the coverage range of an age range Rj does not completely belong to the age range covered by the target users and the purchasing users corresponding to a promotional information, the number of people in the age range Rj that belongs to the age range covered by the target users and the purchasing users corresponding to the promotional information is calculated according to the formula Where e is the range covered by the corresponding age range Rj, e1 is the range of the age range covered by the target users and the purchasing users corresponding to the promotional information in the age range Rj, and u is the corresponding number of people in the age range Rj.
[0008] As a further scheme of the present application, when determining the position and time for displaying the promotional information of the product to be promoted in step S5, the promotional information of the product to be promoted is first sorted according to importance. When the monitoring sub-area and the regular time domain corresponding to the promotional information of two products to be promoted are the same, the regular time domain of the monitoring sub-area selected for the promotional information of the product to be promoted with lower importance is sequentially extended by one position in the order from large to small according to the connection degree parameter D.
[0009] As a further scheme of the present application, for an irregular time domain of a monitoring sub-area, the corresponding promotional information is randomly displayed.
[0010] Advantages of the present application: 1、The present application analyzes the composition of pedestrians in each monitoring sub-area range in each time period, first determines whether each monitoring sub-area in each time period is a regular time domain or an irregular time domain, and for a regular time domain, determines the suitable delivery point and delivery time domain of the corresponding promoted advertising information according to the correlation degree between the composition of pedestrians passing through the regular time domain and each promoted advertising information, so as to ensure that the promoted advertising information can achieve the best promotion effect. 2、The present application can fully utilize the advertising promotion environment resources in the corresponding place by reasonably arranging the space and time of each promoted advertising information, and improve the overall advertising promotion effect. BRIEF DESCRIPTION OF DRAWINGS
[0011] The present application will be further described below with reference to the accompanying drawings.
[0012] Figure 1 is a schematic diagram of the framework structure of a big data service platform promotion system of the present application. DETAILED DESCRIPTION
[0013] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.
[0014] A big data service platform promotion system, as shown in Figure 1 includes: A video information acquisition unit includes a plurality of high-definition cameras distributed in the delivery area, which acquires and transmits the video image information in the corresponding area to the storage unit through each high-definition camera; An identification unit is used for analyzing the video image information in the storage unit and identifying the gender and age of the people appearing in the video image; A controller is used for determining the position and time of the promotion information of the product to be promoted; A promotion terminal is used for displaying the promotion information of the product to be promoted, which can be in the form of text, picture, video, etc. In an embodiment of the present application, the promotion terminal is an LED display screen. The method for determining the position and time of the promotion information of the product to be promoted by the controller includes the following steps: S1, obtain the coordinate positions of each delivery point in the delivery area, and mark a preset range based on the delivery point as a monitoring sub-area, each monitoring sub-area is provided with a high-definition camera, and the video image information of each corresponding monitoring sub-area is collected by the high-definition camera and then transmitted to a storage unit for storage; The delivery point refers to a position for installing a promotion terminal; The range of each monitoring sub-area is determined according to the installation position and size of the corresponding promotion terminal. Specifically, if the promotion terminal is a single-sided LED display screen, the corresponding monitoring sub-area is a sector area, and the larger the size of the LED display screen, the larger the area corresponding to the sector area. S2, divide the open time of the delivery area in a period into k delivery time domains Ti; Wherein 1≤i≤k; Obtain the video image information of the same delivery time domain in consecutive n periods in the storage unit, and mark the corresponding delivery time domain as a sample delivery time domain; The video image information is analyzed and processed by the recognition unit to obtain the pedestrian attribute of the pedestrians passing through the corresponding monitoring sub-area in a period in the sample delivery time domain; The pedestrian attribute includes the gender and age A of the pedestrian; Obtain the difference coefficient C between the pedestrian attributes of the pedestrians passing through the corresponding monitoring sub-area in the sample delivery time domain in the past n periods; Specifically, the calculation method of the difference coefficient C is: For each pedestrian passing through the corresponding monitoring sub-area in the sample delivery time domain in a period; Set m age ranges Rj in ascending order, where 1≤j≤m; Obtain the number of males and females in the age range Rj; Obtain the number of males and females in each age range Rj in each period in the sample delivery time domain in turn; Mark the number of males in the age range Rj as a11, a12, …, a1n in turn; Mark the number of females in the age range Rj as a01, a02, …, a0n in turn; According to the formula Calculate the evaluation value Cj of the sample delivery time domain in the age range Rj; Wherein 1≤x≤n, a1p=(a11+a12+、…、+a1n) / n, a0p=(a01+a02+、…、+a0n) / n; Then according to the formula Calculate the difference coefficient C corresponding to the corresponding monitoring sub-area in the sample delivery time domain. When C≥Cy1, it is considered that the sample delivery time domain in the corresponding monitoring sub-area is an irregular time domain; On the contrary, if C<Cy1, it is considered that the sample delivery time domain in the corresponding monitoring sub-area is a regular time domain, and the corresponding m a1p is taken as the average number of males in each corresponding age range Rj, and the corresponding m a0p is taken as the average number of females in each corresponding age range Rj. Wherein Cy1 is a preset value; The present application divides the time when the monitoring sub-area is opened in a period into several delivery time domains, and analyzes the pedestrian distribution in the past n periods of each delivery time domain corresponding to the monitoring sub-area. Specifically, the stability of the pedestrian distribution in a delivery time domain of a monitoring sub-area in a period of time is analyzed according to the male and female number distribution of different age groups in the corresponding delivery time domain, which is beneficial to the subsequent targeted advertising promotion. S3, according to the method in step S2, it is judged whether each delivery time domain is irregular or regular for each monitoring sub-area; S4, obtaining the contact degree parameter D of each propaganda information and each regular time domain of each monitoring sub-area; Specifically, the calculation method of the contact degree parameter D between one propaganda information and one regular time domain of one monitoring sub-area is: Obtain the age range, gender and purchase user covered age range and gender corresponding to the target user corresponding to each propaganda information; Mark the corresponding regular time domain of the corresponding monitoring sub-area as a marked time domain; Obtain the average number of males and females corresponding to each age range in the marked time domain; Obtain the sum h1 of the number of people in the age range and gender range covered by the target user corresponding to the propaganda information in the marked time domain; obtain the number h2 of people in the age range and gender range covered by the purchase user corresponding to the propaganda information; The contact degree parameter D between the corresponding propaganda information and the marked time domain is calculated according to the formula D=h×(β1×h1+β2×h2); Wherein h is the sum of the average number of males and females in each age range Rj in the marked time domain; The target user refers to the user using the corresponding product, and the purchase user refers to the user purchasing the corresponding product; Wherein the gender and age range covered by the purchase user can be counted according to the gender and age distribution of the users purchasing the corresponding product in the online platform; Wherein, when the coverage range of an age range Rj does not completely belong to the age range covered by the target user and the purchase user corresponding to a propaganda information, the contact degree parameter D between the corresponding propaganda information and the marked time domain is calculated according to the formula The number of people in the age range Rj belonging to the target user of the corresponding promotional information and the age range of the purchasing user is calculated; Wherein e is the range covered by the corresponding age range Rj, e1 is the range of the age range Rj covered by the target user and the age range of the purchasing user corresponding to the promotional information, and u is the corresponding number of people in the age range Rj; S5, for a promotional information, the rule time domain of the corresponding each monitoring sub-area is sorted in the order of the contact degree parameter D from large to small, and the rule time domain of the monitoring sub-area corresponding to the greater contact degree parameter D is preferentially displayed for the corresponding promotional information; Specifically, the promotional information of the product to be promoted is sorted according to importance, when the monitoring sub-area and the rule time domain corresponding to the promotional information of the two products to be promoted are the same, the rule time domain of the monitoring sub-area selected by the promotional information with lower importance is sequentially delayed by one position in the order of the contact degree parameter D from large to small; The importance of the promotional information can be determined according to the promotion price and other preset rules; For an irregular time domain of a monitoring sub-area, the corresponding promotional information is randomly displayed; Because the spatial distribution and the time distribution of personnel in supermarkets, shopping malls, parks and other places are affected by the environmental distribution inside the place and the work and rest time, in many areas, the personnel presents a relatively uniform distribution in the spatial and time range; The present application analyzes the composition of pedestrians in each monitoring sub-area range in each time period, first determines whether each monitoring sub-area in each time period is a regular time domain or an irregular time domain, and for a regular time domain, determines the suitable delivery point and delivery time domain of the corresponding promotional information according to the correlation degree between the composition of the pedestrians passing through the corresponding regular time domain and each promotional information, so as to ensure that the promotional information can obtain the best promotion effect, and at the same time, the spatial and time layout of each promotional information can fully utilize the advertising promotion environment resources in the corresponding place, and improve the overall advertising promotion effect.
[0015] In the description of the specification, the description of the reference terms "one embodiment", "example", "specific example" and the like means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are contained in at least one embodiment or example of the present application. In the specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.
[0016] The above merely illustrates and describes the present application, and those skilled in the art can make various modifications or supplements to the described specific embodiments or adopt similar ways to replace, as long as the modifications or supplements do not deviate from the present application or exceed the scope defined by the present claims, and should belong to the protection scope of the present application.
Claims
1. A platform promotion system for big data services, characterized in that: include: A video information acquisition unit, used to acquire video image information in a corresponding area and transmit the collected information to a storage unit; Recognition unit, used to identify the gender and age of people in video images; A controller, used to determine the location and time for displaying promotional information of the product to be promoted; Promotion terminal, used to display promotional information of the product to be promoted; The method by which the controller determines the location and time for displaying the promotional information is as follows: S1. Obtain the coordinates of each delivery point in the delivery area, and mark a preset range based on the delivery point as a monitoring sub-area; S2. Divide the opening time of the delivery area within a cycle into k delivery time domains Ti; where 1≤i≤k; Obtain video image information within n consecutive cycles of the sample delivery time domain; Obtain pedestrian attributes of pedestrians passing through the corresponding monitoring sub-area in the sample delivery time domain within a cycle through the recognition unit; Obtain the difference coefficient C between the attributes of pedestrians passing through the corresponding monitoring sub-area within the sample delivery time domain of the past n cycles; When C ≥ Cy1, it is considered that the sample delivery time domain in the corresponding monitoring sub-area is irregular; If C < Cy1, it is considered that the sample delivery time domain in the corresponding monitoring sub-area is a regular time domain, where Cy1 is a preset value; S3. Determine in sequence for each monitoring sub-area whether each delivery time domain is an irregular time domain or a regular time domain; S4. Obtaining the connection parameter D between each piece of publicity information and each rule time domain of each monitoring sub-area; S5. For a piece of publicity information, the rule time domains of the corresponding monitoring sub-areas are sorted in descending order according to the connection parameter D, and the rule time domain of the monitoring sub-area with the larger connection parameter D is given priority in displaying the corresponding publicity information.
2. The platform promotion system for big data services according to claim 1, characterized in that: The calculation method of the difference coefficient C is: For a period of sample delivery, the pedestrian attributes of each pedestrian passing through the corresponding monitoring sub-area; Set m age groups Rj in order from young to old, where 1≤j≤m; Get the number of males and females in age group Rj; Obtain the number of males and females in each age group Rj corresponding to each period of sample delivery in sequence; The number of males in age group Rj is marked as a11, a12, ..., a1n; the number of females in age group Rj is marked as a01, a02, ..., a0n; According to the formula Calculate and obtain the consideration value Cj within the age group Rj during the sample delivery period; Where 1≤x≤n, a1p=(a11+a12+、…、+a1n) / n, a0p=(a01+a02+、…、+a0n) / n; Then according to the formula The difference coefficient C corresponding to the monitoring sub-area in the sample release time domain is calculated.
3. The platform promotion system for big data services according to claim 2, characterized in that: The calculation method of the connection parameter D between a piece of propaganda information and a regular time domain of a monitoring sub-area is: Obtain the age group and gender of the target users corresponding to each promotional information, as well as the age group and gender of the purchasing users; Mark the corresponding rule time domain of the corresponding monitoring sub-area as the marked time domain; When the sample delivery time domain is the regular time domain, the corresponding m a1p is taken as the average number of males in each corresponding age group Rj, and the corresponding m a0p is taken as the average number of females in each corresponding age group Rj; Get the average number of males and females for each age group within the marked time domain; Obtain the sum h1 of the number of people in the age and gender range covered by the target users corresponding to the promotional information within the marked time domain; obtain h2 of the number of people in the age and gender range covered by the purchasing users corresponding to the promotional information; The connection parameter D between the corresponding promotional information and the marked time domain is calculated according to the formula D=h×(β1×h1+β2×h2); Where h is the sum of the average number of males and the average number of females in each age group Rj in the marked time domain.
4. The platform promotion system for big data services according to claim 3, characterized in that: When the coverage of an age group Rj does not completely fall within the age range of the target users and purchasing users corresponding to a promotional information, then according to the formula Calculate the number of target users and purchasing users in the age group Rj that fall within the age range covered by the corresponding promotional information; Among them, e is the range covered by the corresponding age group Rj, e1 is the age range covered by the target users and purchasing users corresponding to the promotional information in the age group Rj, and u is the corresponding number of people in the age group Rj.
5. The platform promotion system for big data services according to claim 4, characterized in that: When determining the location and time for displaying the promotional information of the product to be promoted in step S5, the promotional information of the product to be promoted is first sorted according to importance. When the monitoring sub-areas and rule time domains corresponding to the promotional information of two products to be promoted are the same, the rule time domain of the monitoring sub-area selected for the promotional information with lower importance is postponed one position in descending order according to the connection parameter D.
6. The platform promotion system for big data services according to claim 1, characterized in that: For an irregular time domain in the monitoring sub-area, the corresponding promotional information is displayed randomly.