Cultural propaganda activity multi-dimensional influence assessment method and system

Abstract

The invention relates to the technical field of culture propaganda influence evaluation, and particularly discloses a culture propaganda activity multi-dimensional influence evaluation method and system, and the method comprises the steps: S1, selecting a plurality of candidate public places, deploying a video playing terminal at a preset key position of each candidate public place, and playing a testability culture propaganda video; s2, multi-dimensional data related to culture propaganda activities are collected in an evaluation period through a video playing terminal and monitoring equipment associated with the video playing terminal, and the multi-dimensional data comprise coverage dimension data, participation dimension data and interaction dimension data; according to the method, the problems of resource waste and insufficient participation degree possibly caused by site selection depending on subjective experience in the prior art are solved by deploying the test terminal and collecting the multi-dimensional data, and the comprehensive index and the optimization strategy are generated through quantitative analysis, so that site optimization and activity planning based on objective data are realized; therefore, the accuracy and the influence of culture propaganda activities are improved.

Description

Technical Field

[0001] This invention relates to the field of cultural promotion influence assessment technology, specifically a method and system for assessing the multidimensional influence of cultural promotion activities. Background Technology

[0002] Cultural promotion is an important means of inheriting excellent traditions, shaping values, and enhancing national cultural confidence. Common cultural promotion activities take many forms, including but not limited to holding intangible cultural heritage skill demonstrations, traditional culture lectures, themed exhibitions, and folk performances in public places. With the increasing emphasis on building cultural soft power, how to carry out cultural promotion activities scientifically and effectively to ensure their dissemination effect and influence has become an important issue for cultural management departments and related institutions.

[0003] However, in the current technology, the planning and implementation of cultural promotion activities, especially in the selection of venues, still rely heavily on the subjective experience and historical conventions of the organizers. For example, choosing to hold an event in a park is often because the park has always been a gathering place for people or has hosted similar events before. This decision-making method lacks objective data support and scientific pre-evaluation mechanisms, and has obvious shortcomings: First, it may lead to the selection of a venue that is not the optimal choice at present, failing to effectively reach the target audience and wasting resources; second, due to the lack of quantitative analysis of venue characteristics, audience preferences and potential influence, blindly held events often have few participants and insufficient public participation, which may ultimately make the actual impact of cultural promotion far from the expected effect. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for evaluating the multi-dimensional impact of cultural promotion activities, thereby solving the following technical problems: The question is how to scientifically and quantitatively evaluate and select the best candidate venues to ensure that cultural promotion activities can be held in the best locations.

[0005] The objective of this invention can be achieved through the following technical solutions: A method for evaluating the multidimensional impact of cultural promotion activities, the method comprising: S1. Select multiple candidate public places, deploy video playback terminals at preset key locations in each candidate public place, and play test cultural promotional videos. S2. During the evaluation period, collect multi-dimensional data related to cultural promotion activities through video playback terminals and their associated monitoring equipment. The multi-dimensional data includes coverage dimension data, participation dimension data, and interaction dimension data. S3. Conduct comprehensive analysis of multi-dimensional data to generate a comprehensive multi-dimensional influence index for cultural promotion activities corresponding to each candidate public venue, and compare and analyze the comprehensive multi-dimensional influence index of each candidate public venue to select the public venue with the highest comprehensive index as the venue for formal cultural activities. S4. Further analyze the multi-dimensional data collected from the selected public places to obtain the optimal activity strategy.

[0006] Furthermore, the process of analyzing and processing the coverage dimension data includes: During the statistical evaluation period, the total number of people Q passing through the monitoring range of the video playback terminal in a single candidate public place; Calculate the proportion of total visitor traffic Q that generated effective viewing behavior. It can be done through the formula Calculated; The evaluation period is divided into n consecutive time periods, and the number of valid views corresponding to each time period is recorded. Record it using formulas Calculate and obtain the sustained coverage index ; Where E represents the number of people who generated valid viewing behavior during the evaluation period. , The number of valid viewers within the i-th time period. The weight coefficient is the value corresponding to the i-th time period. The coverage evaluation value is obtained by analyzing and calculating using formula (1). ; in, As a benchmark for sustained coverage, , , This is the first weighting coefficient.

[0007] Furthermore, the process of analyzing and processing the participation dimension data includes: The participation evaluation value is obtained by analyzing and calculating using formulas (2)-(4). ; in, To increase the completion rate of the broadcast, The number of valid views is defined as those with an actual viewing duration greater than or equal to the standard video length. The average relative viewing time, , The actual viewing time of the j-th valid view. The standard length for test-oriented cultural promotional videos, , This is the second weighting coefficient.

[0008] Furthermore, the process of analyzing the interaction dimension data includes: The interaction evaluation value is obtained by analyzing and calculating using formulas (5)-(8). ; in, The initial interaction rate, The number of users who scanned the QR code on the video playback terminal screen to access the interactive page. For interaction completion rate, The number of users who completed the interactive survey on the interactive page. To increase support for cultural promotion activities, The number of users who supported cultural promotion in the corresponding public places in the interactive survey. , , This is the third weighting coefficient.

[0009] Furthermore, the process of selecting the public venue with the highest comprehensive index as the venue for formal cultural activities includes: S31. Conduct a quality assessment of the multi-dimensional data collected from each candidate public place, verify whether the data collection time, sample size and data integrity meet the preset standards, and screen out candidate public places with valid data. S32. Based on the correlation between multi-dimensional data and the reliability of data sources, calculate and analyze the confidence factor for each candidate public place; S33. Using a confidence-adjusted weighted algorithm, calculate and analyze the multi-dimensional comprehensive influence index of each candidate public place; S34. Select the public place with the highest comprehensive index as the venue for formal cultural activities. When multiple public places have comprehensive indices that differ within a preset range, give priority to the public place with higher confidence.

[0010] Further, in step S32, the process of calculating and analyzing the confidence factor of the candidate public places includes: Obtain the coverage evaluation value of candidate public places Participation rating and interaction rating ; The correlation scores between multi-dimensional data are obtained by analyzing and calculating using formulas (9)-(11). ; in, It is the average of the evaluation values ​​corresponding to the three dimensions. The variance of the evaluation values ​​corresponding to the three dimensions. This is a preset adjustment factor; The evaluation period was divided into M consecutive time units, and the number of valid viewers in candidate public places within each time unit was counted to form an observation sequence. ; Obtain the corresponding pedestrian flow distribution sequence for this public place. ; The reliability score of the data source is obtained by analyzing and calculating using formula (12). ; in, , Let X be the average value of the sequence. The average value of sequence Y; The confidence factor of candidate public places is calculated using formula (13). .

[0011] Furthermore, in step S33, the process of calculating and analyzing the multi-dimensional influence comprehensive index of the candidate public places includes: The multi-dimensional comprehensive influence index of candidate public places is obtained by analyzing and calculating using formulas (14) and (15). ; in, , For the dynamic weight coefficient of the l-th dimension, The basic weight coefficients for the l-th dimension are... For the excitation intensity coefficient, It is the hyperbolic tangent function. Let l be the evaluation value of the l-th dimension. This is the benchmark evaluation value for the l-th dimension. is the adjustment factor for the l-th dimension.

[0012] A multi-dimensional impact assessment system for cultural promotion activities, used to implement a method for multi-dimensional impact assessment of cultural promotion activities, the system comprising: The site deployment module is used to select multiple candidate public places and deploy video playback terminals at preset key locations in each candidate public place to play test cultural promotional videos. The data acquisition module is communicatively connected to the video playback terminal and its associated monitoring equipment, and is used to collect multi-dimensional data related to cultural promotion activities during the evaluation period; The data processing and analysis module is communicatively connected to the data acquisition module and is used for comprehensive analysis of the multi-dimensional data; The decision support module, which is connected to the data processing and analysis module, is used to compare the multi-dimensional influence comprehensive index of each candidate public place, select the public place with the highest comprehensive index as the venue for formal cultural activities, and generate the optimal activity strategy based on the multi-dimensional data of the selected public place.

[0013] The beneficial effects of this invention are: (1) By deploying test terminals and collecting multi-dimensional data, this invention quantitatively analyzes and generates comprehensive indices and optimization strategies, which solves the problems of resource waste and insufficient participation that may be caused by relying on subjective experience to select venues in the prior art. It realizes venue selection and event planning based on objective data, thereby improving the accuracy and influence of cultural promotion activities.

[0014] (2) By introducing data quality assessment, confidence factor calculation and confidence adjustment algorithm in the final decision-making process, this invention ensures that the final selected venue is not only the one with the best data performance, but also the one with the most reliable data and the most robust results. This greatly reduces the decision-making risk caused by data collection quality problems or random model errors at the operational level, and ultimately improves the scientific and refined level of cultural activity venue selection. Attached Figure Description

[0015] The invention will now be further described with reference to the accompanying drawings.

[0016] Figure 1 This is a flowchart illustrating the steps of a multi-dimensional impact assessment method for cultural promotion activities proposed in this invention. Figure 2 This is a schematic diagram of a multi-dimensional influence evaluation system for cultural promotion activities proposed in this invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Please see Figure 1 As shown, in one embodiment, a method for evaluating the multidimensional impact of cultural promotion activities is provided, the method comprising: S1. Select multiple candidate public places, including parks, squares, cultural centers or commercial areas where people gather. Deploy video playback terminals at preset key locations in each candidate public place. The video playback terminals include a display screen, audio equipment and network connection module, and play test cultural promotional videos. The test cultural promotional videos cover intangible cultural heritage skills demonstrations, traditional culture lectures or folk performance segments, and are generally a few minutes long, to simulate the content of formal activities. S2. Through the video playback terminal and its associated monitoring equipment, collect multi-dimensional data related to cultural promotion activities within the evaluation period. The evaluation period is generally set to 7 to 31 days to cover changes in audience behavior on weekdays and weekends. The multi-dimensional data includes coverage dimension data, participation dimension data, and interaction dimension data. S3. Conduct comprehensive analysis of multi-dimensional data to generate a comprehensive multi-dimensional influence index for cultural promotion activities corresponding to each candidate public venue, and compare and analyze the comprehensive multi-dimensional influence index of each candidate public venue to select the public venue with the highest comprehensive index as the venue for formal cultural activities. S4. Further analyze the multi-dimensional data collected from the selected public places, such as peak time period identification and audience preference analysis, to obtain the optimal activity strategy. The strategy includes activity scheduling, content customization suggestions and interactive element design to further improve the effectiveness of the formal activity.

[0019] Through the above technical solution, this embodiment provides a method for evaluating the multi-dimensional influence of cultural promotion activities. The method deploys test terminals and collects multi-dimensional data to quantitatively analyze and generate a comprehensive index and optimization strategy. This solves the problems of resource waste and insufficient participation that may result from relying on subjective experience to select venues in the prior art. It realizes venue selection and event planning based on objective data, thereby improving the accuracy and influence of cultural promotion activities.

[0020] In one embodiment, the process of analyzing and processing the coverage dimension data includes: Based on video playback terminals and their associated monitoring equipment (high-definition cameras) deployed in candidate public places, the total pedestrian flow Q within the monitoring range of all people passing through the video playback terminals in a single candidate public place during the statistical evaluation period. The monitoring range usually refers to a fan-shaped or circular area centered on the terminal that can effectively capture pedestrian dynamics, and its radius is generally set to 5 to 20 meters according to the characteristics of the site. Calculate the proportion of total visitor traffic Q that generated effective viewing behavior. This is used to measure the initial attractiveness of promotional content to mobile populations, and can be expressed by the formula... Calculated; The evaluation period is divided into n consecutive time periods, and the number of valid views corresponding to each time period is recorded. Record it using formulas Calculate and obtain the sustained coverage index ; Where E represents the number of people who generated valid viewing behavior within the evaluation period. Valid viewing behavior can be defined as the behavior of a pedestrian facing the screen and continuously staying on it for more than a preset threshold (e.g., 5 seconds). , The number of valid viewers within the i-th time period can be obtained from statistics from monitoring equipment. The weight coefficient for the i-th time period is preset based on historical traffic data or event planning goals. For example, if the goal is to enhance weekend cultural vitality, then the weight coefficient for weekend time periods is greater than that for weekday time periods. The coverage evaluation value is obtained by analyzing and calculating using formula (1). ; in, As a baseline sustainable coverage index, a preset constant can be taken from the average of historical activity data or the maximum value of sustainable coverage index values ​​for all candidate sites. , , The first weighting coefficient is determined based on the specific goals of the cultural promotion campaign. For example, if the goal is to generate influence during prime time, then... (corresponding to continuous coverage) Take the higher value.

[0021] The process of analyzing and processing the participation dimension data includes: Based on the viewing behavior logs recorded by the video playback terminal and its associated monitoring system, key behavioral data is extracted. The viewing behavior logs are generated by the terminal's built-in timer and interactive sensing module, recording the start and end times of each effective viewing session. The participation evaluation value is obtained by analyzing and calculating using formulas (2)-(4). ; in, A high completion rate indicates that the promotional video is of high quality, well-paced, and able to hold the audience's attention until the end, thus ensuring the complete delivery of the promotional message. The effective number of views is defined as those with an actual viewing duration greater than or equal to the standard video length. This is calculated by comparing the actual viewing duration of each view with the standard video length. This metric, representing average relative viewing time, eliminates the influence of absolute video length and reflects the average depth of audience viewing behavior; even if the video is not watched in its entirety, a higher value indicates better viewing experience. This also indicates that most of the content was effectively received, which is used to assess the content's continued appeal. , The actual viewing duration of the j-th valid view is automatically recorded by the timing module of the video playback terminal, from the start of a valid viewing session to the end of that viewing session, representing the length of time elapsed. The standard length for a test-oriented cultural promotional video, and the content length of the test-oriented cultural promotional video itself, are fixed, known values ​​that are determined after the video is produced. , The second weighting coefficient is determined based on the specific goals of the cultural promotion campaign. For example, if the promotional information is concentrated at the end of the video, the weight of the completion rate is increased; if the information is evenly distributed, the weight of the average duration is increased.

[0022] The process of analyzing the interaction dimension data includes: During or at the end of the test cultural promotion video, a prominent QR code will be displayed on the video playback terminal screen, along with clear instructions (such as scanning the code to participate in the cultural promotion interactive survey). After scanning the code with a mobile device, users will be redirected to an online interactive page designed specifically for this evaluation. The interaction evaluation value is obtained by analyzing and calculating using formulas (5)-(8). ; in, Initial interaction rate, used to measure the initial conversion ability of promotional content to motivate the audience from passive viewing to active action. The number of users who scanned the QR code on the video playback terminal screen to access the interactive page is counted by scanning the dynamic QR code on the terminal screen. Each unique device ID or WeChat user ID is counted as one scan. The QR code is bound to the terminal location, and the backend server records each successful redirect. Interaction completion rate is used to evaluate the user-friendliness of the interaction flow design and the audience's patience for engagement. To determine the number of users who completed the interactive survey on the interactive page, the system monitors whether users reach the final page such as "Submission Successful" or "Thank You for Participating" in the interactive page's backend. The system records the number of users who completed the entire interactive process. Support for cultural promotional activities is a direct indicator used to measure audience attitudes and the potential social acceptance of the activity. The number of users who supported cultural promotion in corresponding public places during the interactive survey was obtained by analyzing the submitted interactive survey data. , , This is the third weighting coefficient, set according to the evaluation focus. It is used to balance the relative importance of indicators at different stages of interactive behavior. For example, if the focus is on measuring the effectiveness of interactive guidance, it can be increased. .

[0023] Through the above technical solution, this embodiment provides a data quantification analysis method for the multidimensional influence of cultural promotion activities. The method constructs calculation models for coverage, participation, and interaction respectively. The coverage model is synthesized based on total traffic, effective viewing ratio, and weighted sustained coverage. The participation model is synthesized based on viewing completion rate and average relative viewing time. The interaction model is synthesized based on initial interaction rate, interaction completion rate, and activity support rate. This method transforms abstract influence into calculable and comparable quantitative indicators defined by a series of clear formulas and parameters, thereby providing an accurate and objective data comparison basis for venue selection and strategy optimization.

[0024] In one embodiment, the process of selecting the public place with the highest comprehensive index as the venue for formal cultural activities includes: S31. Conduct a quality assessment of the multi-dimensional data collected from each candidate public place, and verify whether the data collection duration, sample size and data integrity meet the preset standards. The quality assessment includes: ensuring that the continuous collection days cover at least one complete cycle, checking whether key indicators such as total traffic flow and effective viewership meet the minimum statistical sample requirements, and checking whether there are continuous missing or abnormal interruptions in the data (such as no data for more than 4 consecutive hours due to equipment failure). Candidate public places that do not meet the above-mentioned preset standards will be screened out, and only candidate sites with valid data will be retained for subsequent decision-making processes. S32. Based on the correlation between multi-dimensional data and the reliability of data sources, calculate and analyze the confidence factor of each candidate public place to quantify the credibility of the site data. S33. Using a confidence-adjusted weighted algorithm, calculate and analyze the multi-dimensional comprehensive influence index of each candidate public place; S34. Select the public venue with the highest comprehensive index as the venue for formal cultural activities. When the comprehensive indices of multiple public venues differ within a preset range, they are considered to be equally competitive. In this case, the public venue with the higher confidence factor is given priority to ensure the robustness of the selected venue results. The preset range is a pre-set small difference used to determine whether the comprehensive indices of two or more venues are relatively close, so as to avoid making arbitrary choices when the scores are extremely close.

[0025] Through the above technical solution, this embodiment provides a method for selecting the best venue for cultural activities. By introducing data quality assessment, confidence factor calculation, and confidence adjustment algorithm in the final decision-making stage, the method ensures that the finally selected venue is not only the one with the best data performance, but also the one with the most reliable data and the most robust results. This greatly reduces the decision-making risk caused by data collection quality problems or random model errors at the operational level, and ultimately improves the scientific and refined level of cultural activity venue selection.

[0026] In one embodiment, step S32, the process of calculating and analyzing the confidence factor of the candidate public places, includes: Obtain the coverage evaluation value of candidate public places Participation rating and interaction rating ; The correlation scores between multi-dimensional data are obtained by analyzing and calculating using formulas (9)-(11). This score is used to measure the degree of balance in the development of each dimension; the lower the score, the more abnormal the data pattern. in, It is the average of the evaluation values ​​corresponding to the three dimensions. The variance of the evaluation values ​​corresponding to the three dimensions. The preset adjustment factor is obtained through training with historical data and is used to control the intensity of the impact of balance differences on the score. The evaluation period was divided into M consecutive time units, and the number of valid viewers in candidate public places within each time unit was counted to form an observation sequence. ; Obtain the corresponding pedestrian flow distribution sequence for this public place. ; The reliability score of the data source is obtained by analyzing and calculating using formula (12). This score is used to measure whether observed user behavior patterns conform to natural laws; the lower the score, the more abnormal the behavior pattern. in, , This represents the number of valid viewers in candidate public places within the m-th time unit. The number of people in candidate public places within the m-th time unit. Let X be the average value of the sequence. The average value of sequence Y; The confidence factor of candidate public places is calculated using formula (13). .

[0027] In step S33, the process of calculating and analyzing the multi-dimensional influence comprehensive index of the candidate public places includes: The multi-dimensional comprehensive influence index of candidate public places is obtained by analyzing and calculating using formulas (14) and (15). ; in, , For the dynamic weight coefficient of the l-th dimension, The basic weight coefficients for the l-th dimension can be determined using expert scoring. This is the incentive intensity coefficient, used to control the reward magnitude for the dominant dimension. Using a hyperbolic tangent function provides a smooth excitation transition and avoids abrupt weight changes. Let l be the evaluation value of the l-th dimension. The benchmark evaluation value for the l-th dimension is determined based on the 60th percentile of the scores for all cultural promotion activities in the target region over the past year in that dimension. This is the adjustment factor for the l-th dimension, used to control the sensitivity of the stimulus. It is generally taken as 0.8 times the standard deviation of the historical data for this dimension, and is determined by analyzing the dispersion of the historical data.

[0028] Through the above technical solution, this embodiment provides a method for deciding on venues for cultural promotion activities. The method constructs a confidence system by introducing a dimensional balance assessment based on the variation index and a behavioral pattern verification based on time series correlation, and adopts a hyperbolic tangent activation function to achieve adaptive adjustment of weights. This method not only establishes a scientific evaluation index system, but also innovatively introduces an anti-interference mechanism, which can effectively identify and suppress human cheating behavior, and significantly improve the accuracy and reliability of venue selection decisions.

[0029] Please see Figure 2 As shown, in one embodiment, a multi-dimensional impact assessment system for cultural promotion activities is provided to implement a method for assessing the multi-dimensional impact of cultural promotion activities. The system includes: The site deployment module is used to select multiple candidate public places and deploy video playback terminals at preset key locations in each candidate public place to play test cultural promotional videos. The data acquisition module is communicatively connected to the video playback terminal and its associated monitoring equipment, and is used to collect multi-dimensional data related to cultural promotion activities during the evaluation period; The data processing and analysis module is communicatively connected to the data acquisition module and is used for comprehensive analysis of the multi-dimensional data; The decision support module, which is connected to the data processing and analysis module, is used to compare the multi-dimensional influence comprehensive index of each candidate public place, select the public place with the highest comprehensive index as the venue for formal cultural activities, and generate the optimal activity strategy based on the multi-dimensional data of the selected public place.

[0030] Through the above technical solution, this embodiment provides a multi-dimensional impact assessment system for cultural promotion activities. The system, through the coordinated operation of a site deployment module, a data acquisition module, a data processing and analysis module, and a decision support module, realizes a complete assessment process from test promotion to optimal site decision-making. It can scientifically quantify the multi-dimensional impact of cultural promotion, select sites and formulate strategies based on data-driven methods, and significantly improve the scientificity and effectiveness of cultural promotion activity planning.

[0031] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A method for evaluating the multidimensional impact of cultural promotion activities, characterized in that, The method includes: S1. Select multiple candidate public places, deploy video playback terminals at preset key locations in each candidate public place, and play test cultural promotional videos. S2. During the evaluation period, collect multi-dimensional data related to cultural promotion activities through video playback terminals and their associated monitoring equipment. The multi-dimensional data includes coverage dimension data, participation dimension data, and interaction dimension data. S3. Conduct comprehensive analysis of multi-dimensional data to generate a comprehensive multi-dimensional influence index for cultural promotion activities corresponding to each candidate public venue, and compare and analyze the comprehensive multi-dimensional influence index of each candidate public venue to select the public venue with the highest comprehensive index as the venue for formal cultural activities. S4. Further analyze the multi-dimensional data collected from the selected public places to obtain the optimal activity strategy.

2. The method for evaluating the multi-dimensional impact of cultural promotion activities according to claim 1, characterized in that, The process of analyzing and processing the coverage dimension data includes: During the statistical evaluation period, the total number of people Q passing through the monitoring range of the video playback terminal in a single candidate public place; Calculate the proportion of total visitor traffic Q that generated effective viewing behavior. It can be done through the formula Calculated; The evaluation period is divided into n consecutive time periods, and the number of valid views corresponding to each time period is recorded. Record it using formulas Calculate and obtain the sustained coverage index ; Where E represents the number of people who generated valid viewing behavior during the evaluation period. , The number of valid viewers within the i-th time period. The weight coefficient is the value corresponding to the i-th time period. The coverage evaluation value is obtained by analyzing and calculating using formula (1). ; in, As a benchmark for sustained coverage, , , This is the first weighting coefficient.

3. The method for evaluating the multi-dimensional impact of cultural promotion activities according to claim 2, characterized in that, The process of analyzing and processing the participation dimension data includes: The participation evaluation value is obtained by analyzing and calculating using formulas (2)-(4). ; in, To increase the completion rate of the broadcast, The number of valid views is defined as those with an actual viewing duration greater than or equal to the standard video length. The average relative viewing time, , The actual viewing time of the j-th valid view. The standard length for test-oriented cultural promotional videos, , This is the second weighting coefficient.

4. The method for evaluating the multi-dimensional impact of cultural promotion activities according to claim 3, characterized in that, The process of analyzing the interaction dimension data includes: The interaction evaluation value is obtained by analyzing and calculating using formulas (5)-(8). ; in, The initial interaction rate, The number of users who scanned the QR code on the video playback terminal screen to access the interactive page. For interaction completion rate, The number of users who completed the interactive survey on the interactive page. To increase support for cultural promotion activities, The number of users who supported cultural promotion in corresponding public places during the interactive survey. , , This is the third weighting coefficient.

5. The method for evaluating the multi-dimensional impact of cultural promotion activities according to claim 4, characterized in that, The process of selecting the public venue with the highest comprehensive index as the venue for formal cultural activities includes: S31. Conduct a quality assessment of the multi-dimensional data collected from each candidate public place, verify whether the data collection time, sample size and data integrity meet the preset standards, and screen out candidate public places with valid data. S32. Based on the correlation between multi-dimensional data and the reliability of data sources, calculate and analyze the confidence factor for each candidate public place; S33. Using a confidence-adjusted weighted algorithm, calculate and analyze the multi-dimensional comprehensive influence index of each candidate public place; S34. Select the public place with the highest comprehensive index as the venue for formal cultural activities. When multiple public places have comprehensive indices that differ within a preset range, give priority to the public place with higher confidence.

6. The method for evaluating the multi-dimensional impact of cultural promotion activities according to claim 5, characterized in that, In step S32, the process of calculating and analyzing the confidence factor of the candidate public places includes: Obtain the coverage evaluation value of candidate public places Participation rating and interaction rating ; The correlation scores between multi-dimensional data are obtained by analyzing and calculating using formulas (9)-(11). ; in, It is the average of the evaluation values ​​corresponding to the three dimensions. The variance of the evaluation values ​​corresponding to the three dimensions. This is a preset adjustment factor; The evaluation period was divided into M consecutive time units, and the number of valid viewers in candidate public places within each time unit was counted to form an observation sequence. ; Obtain the corresponding pedestrian flow distribution sequence for this public place. ; The reliability score of the data source is obtained by analyzing and calculating using formula (12). ; in, , Let X be the average value of the sequence. The average value of sequence Y; The confidence factor of candidate public places is calculated using formula (13). .

7. The method for evaluating the multi-dimensional impact of cultural promotion activities according to claim 6, characterized in that, In step S33, the process of calculating and analyzing the multi-dimensional influence comprehensive index of the candidate public places includes: The multi-dimensional comprehensive influence index of candidate public places is obtained by analyzing and calculating using formulas (14) and (15). ; in, , The dynamic weight coefficients for the l-th dimension are... The basic weight coefficients for the l-th dimension are... For the excitation intensity coefficient, It is the hyperbolic tangent function. Let l be the evaluation value of the l-th dimension. This is the benchmark evaluation value for the l-th dimension. , which is the adjustment factor for the l-th dimension.

8. A multi-dimensional impact assessment system for cultural promotion activities, used to implement the multi-dimensional impact assessment method for cultural promotion activities as described in any one of claims 1-7, characterized in that, The system includes: The site deployment module is used to select multiple candidate public places and deploy video playback terminals at preset key locations in each candidate public place to play test cultural promotional videos. The data acquisition module is communicatively connected to the video playback terminal and its associated monitoring equipment, and is used to collect multi-dimensional data related to cultural promotion activities during the evaluation period; The data processing and analysis module is communicatively connected to the data acquisition module and is used for comprehensive analysis of the multi-dimensional data; The decision support module, which is connected to the data processing and analysis module, is used to compare the multi-dimensional influence comprehensive index of each candidate public place, select the public place with the highest comprehensive index as the venue for formal cultural activities, and generate the optimal activity strategy based on the multi-dimensional data of the selected public place.

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