A tourism data analysis system based on the Internet

Abstract

The invention discloses a tourism data analysis system based on the Internet, which relates to the field of data analysis technology and solves the technical problem that comprehensive analysis cannot be performed according to the situation of the scenic spot itself and the feedback of tourists, information cannot be updated in time, and information notification is delayed. The invention calculates the score value according to the actual feedback of tourists in the scenic spot, and compares with the existing scores to re-score the scores of different tourist attractions, which can facilitate direct viewing by users and reduce the impact of long-term non-update of information. At the same time, according to the corresponding display information of the tourist scenic spot and the feedback information of tourists, the tourist scenic spot is comprehensively analyzed and the corresponding comprehensive value is calculated, which is recommended and displayed to tourists through the comprehensive value. Finally, the display information is periodically analyzed to ensure the timeliness of subsequent information updates, which can more realistically reflect the current situation of the tourist scenic spot and improve the tourists' travel experience.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a tourism data analysis system based on the Internet. Background Art

[0002] With the advent of the era of mass tourism, more and more people choose to travel to relax. In order to develop and improve the tourism industry, it is necessary to analyze tourism data, which can include tourist attributes (such as tourist travel methods, source distribution, etc.), tourist behavior (tourism consumption proportion, travel time, etc.), tourist comments, accommodation, catering, etc.

[0003] According to Chinese patent application number CN201811452341.7, a tourism data analysis system and method are disclosed, the system includes: a data acquisition module, used to collect various scenic spot data; a data storage module, used to classify and store various scenic spot data; a data analysis module, used to establish a tourist identity information database, a vehicle information database and a tourist consumption information database; generate tourist trajectory data, scenic spot area heat distribution data, scenic spot word-of-mouth index and tourist comment data; perform multi-source data fusion on the tourist identity information database, tourist trajectory data, tourist comment data and tourist consumption information database to obtain tourist portrait data; generate scenic spot decision data using the scenic spot word-of-mouth index, scenic spot area heat distribution data and tourist portrait data; an external interface module, used to provide the various types of data obtained to the outside by using an interface access method.

[0004] The above patent establishes tourist mutual data based on data, generates scenic spot decision data using scenic spot reputation index, scenic spot regional heat distribution data and tourist portrait data, realizes the integrated analysis of scenic spot data, obtains scenic spot decision data that is beneficial to the development of scenic spots, and improves the accuracy of data analysis. However, such analysis method cannot provide scenic spot recommendations and guidance for tourists. With the development of tourism, tourist attractions have become diverse. At the same time, the development of Internet technology can facilitate tourists to have a simple understanding of different scenic spots. However, due to the diversity and complexity of data, some information on the Internet may be inaccurate. In this way, the wrong information displayed to users will cause the user experience to be reduced. For example, the information corresponding to the tourist attraction is information from a long time ago, and the information obtained by tourists after actual play is inconsistent. This will reduce the user experience and affect the development of the scenic spot. It cannot be combined and analyzed based on tourists' feedback and actual conditions, and the information cannot be updated in real time, resulting in tourists lagging behind in obtaining information, which further affects the overall tourist attraction. Summary of the invention

[0005] In view of the deficiencies of the prior art, the present invention provides an Internet-based tourism data analysis system, which solves the problem that comprehensive analysis cannot be performed based on the situation of the scenic spot itself and the feedback of tourists, and information cannot be updated in a timely manner, resulting in delayed information notification.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a tourism data analysis system based on the Internet, comprising:

[0007] An Internet information collection unit is used to obtain tourism data of urban tourism areas and transmit the tourism data to a tourist attraction analysis unit. The obtained tourism data includes the number of tourists, scenic spot ratings and tourist comments.

[0008] The tourist attraction analysis unit is used to analyze the tourist data transmitted by the Internet information collection unit, obtain effective scores by screening the tourist scores, and calculate the recommendation value corresponding to the tourist attraction based on the scenic spot score, and generate the recommendation value information, and then transmit the recommendation value information to the secondary comprehensive analysis unit;

[0009] A secondary comprehensive analysis unit is used to analyze the obtained recommendation value information, analyze the graphic information corresponding to the tourist attractions, and perform secondary analysis and calculation on the recommendation value of the tourist attractions in combination with historical data to obtain a comprehensive value, and generate recommendation information at the same time, and then transmit the recommendation information to the analysis information output unit;

[0010] It is also used to analyze the image and text cycle time of the tourist attractions according to the image and text information value of the tourist attractions, calculate the corresponding image and text replacement cycle by combining historical data, and generate cycle replacement information, and transmit the cycle replacement information to the analysis information output unit;

[0011] The analysis information output unit is used to display the tourist attractions according to the recommended information and display the acquired periodic replacement information to the corresponding operators.

[0012] As a further solution of the present invention: the specific method of the tourist attraction analysis unit to screen the tourist scores to obtain effective scores is:

[0013] Obtain the city's tourist areas, and label the tourist attractions as i, where i=1, 2, ..., j, where j represents the number of tourist attractions. At the same time, obtain the scenic spot scores corresponding to the tourist attractions, recorded as Pi. Then obtain the number of positive reviews Li1 and the number of negative reviews Li2 corresponding to the tourist attraction i, and calculate the average of the positive reviews corresponding to the number of positive reviews Li1, recorded as Fi1, and the average of the negative reviews, recorded as Fi2. At the same time, calculate the average of the two to obtain the effective score Fi.

[0014] As a further solution of the present invention: the tourist attraction analysis unit calculates the recommendation value corresponding to the tourist attraction based on the scenic spot score, and generates the recommendation value information in a specific manner as follows:

[0015] The calculated effective score is compared with the scenic spot score. When the effective score matches the scenic spot score, an identical signal is generated and the corresponding scenic spot score is retained. When the effective score does not match the scenic spot score, an different signal is generated and the effective score is used as a standard to generate standard score information.

[0016] Obtain the increase in tourists corresponding to tourist attraction i within time t, record it as Ki, THI index Yi and satisfaction value Ri, and substitute the obtained parameters into the formula The recommended value Qi corresponding to tourist attraction i is calculated, where a is a preset proportional coefficient. The recommended values ​​of all tourist attractions are calculated in this way, and the recommended value information is generated by sorting them from large to small according to the recommended value Qi.

[0017] As a further solution of the present invention: the specific manner in which the secondary comprehensive analysis unit analyzes the acquired recommendation value information is as follows:

[0018] The recommendation value information is obtained, and the tourist attraction corresponding to the maximum recommendation value is selected as the target object and recorded as m. The corresponding recommendation value Qm is obtained at the same time. Then the image and text information of the target object is obtained, and the comment information corresponding to the tourists within the time t is obtained. The tourists within the time t are labeled as n, and n=1, 2, ..., u, where u represents the number of tourists. Based on the comment information corresponding to tourist n, the picture with the most similar images is selected as the comparison picture. Then the comparison picture is matched with the image and text information. If the comparison picture matches the image and text information, a retention signal is generated. If the comparison picture does not match the image and text information, a picture and text analysis signal is generated, and the picture and text analysis signal is processed at the same time.

[0019] As a further solution of the present invention: the specific method in which the secondary comprehensive analysis unit processes the graphic analysis signal is as follows:

[0020] Determine whether there is an upload record of graphic information within time t. If there is an upload record, the graphic information is retained and a retention signal is generated. If there is no upload record, the comparison image is used as the standard and a replacement signal is generated. At the same time, based on the generated retention signal and replacement signal, the graphic information value of the target object is further calculated, and the number of replacement signals of the target object is obtained, which is recorded as c and the number of retention signals is recorded as e. At the same time, the graphic score value of the target object corresponding to the replacement signal is obtained, which is recorded as b. Then, the obtained parameters are substituted into the formula Where θ is a preset proportional coefficient, and the specific value is set by the operator, and the graphic information value Tm corresponding to the target object m is calculated.

[0021] As a further solution of the present invention: the specific method of performing secondary analysis and calculation on the recommended value of the tourist attraction to obtain the comprehensive value and generate the recommended information is:

[0022] Substitute the recommended value Qm and the graphic information value Tm of the target object into the formula Zm=(Qm-Tm)×η to calculate the comprehensive value Zm of the target object, where η is a preset proportional coefficient, and the specific value is set by the operator. Similarly, the comprehensive values ​​of all tourist attractions are calculated, and recommendation information is generated from large to small according to the comprehensive values.

[0023] As a further solution of the present invention: the specific method of the secondary comprehensive analysis unit to generate period replacement information by performing image and text cycle time analysis on the tourist attractions according to the image and text information value of the tourist attractions is:

[0024] Obtain the graphic information value Ti corresponding to all tourist attractions i, and compare the graphic information value Ti with the threshold Ty. If the graphic information value Ti is less than the threshold, a periodic analysis signal is generated. Otherwise, if the graphic information value Ti is greater than the threshold, a normal signal is generated.

[0025] The generated periodic analysis signal is processed to obtain historical data within time G, and determine whether there is any image and text information uploaded. If so, the time interval for uploading image and text information within time G is obtained, and the mean time interval is calculated. The mean value is used as the image and text replacement cycle, and the period replacement information is generated. If not, time G1 is used as the image and text replacement cycle, and the period replacement information is generated, and the period replacement information is transmitted to the analysis information output unit.

[0026] Beneficial Effects

[0027] The present invention provides a tourism data analysis system based on the Internet. Compared with the prior art, it has the following beneficial effects:

[0028] The present invention calculates the rating value according to the actual feedback of the tourists in the scenic area, and compares it with the existing ratings to re-rate the ratings of different tourist attractions. This can facilitate the direct viewing of users and reduce the impact of long-term non-updating of information. At the same time, according to the corresponding display information of the tourist attraction and the feedback information of the tourists, the tourist attraction is comprehensively analyzed and the corresponding comprehensive value is calculated. The comprehensive value is used to recommend and display it to the tourists. Finally, the display information is periodically analyzed to ensure the timeliness of subsequent information updates, which can more realistically reflect the current situation of the tourist attraction and improve the tourists' travel experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 This is a block diagram of the system principle of the present invention. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] For example, see Figure 1 The present application provides an Internet-based tourism data analysis system, including: an Internet information collection unit, a tourist attraction analysis unit, a secondary comprehensive analysis unit and an analysis information output unit, and the above-mentioned units are unidirectionally electrically connected.

[0032] The Internet information collection unit is used to obtain tourism data of urban tourism areas and transmit the tourism data to the tourist attraction analysis unit. The acquired tourism data includes the number of tourists, scenic spot ratings and tourist comments.

[0033] The tourist attraction analysis unit is used to analyze the acquired tourist data, obtain effective scores by screening the tourist scores, and calculate the recommendation value corresponding to the tourist attraction based on the scenic spot score, and generate the recommendation value information, and then transmit the recommendation value information to the secondary comprehensive analysis unit. The specific method of generating the recommendation value information is:

[0034] Obtain the city's tourist areas, and label the tourist attractions as i, where i=1, 2, ..., j, where j represents the number of tourist attractions. At the same time, obtain the scenic spot scores corresponding to the tourist attractions as Pi, and the scenic spot scores here are the comprehensive scores on the corresponding APP, which can be directly obtained. Then obtain the number of positive reviews Li1 and the number of negative reviews Li2 corresponding to the tourist attraction i, and calculate the average of the positive reviews corresponding to the number of positive reviews Li1 as F i1 and the average of the negative reviews as Fi2, and calculate the average of the two to obtain the effective score F ip;

[0035] The specific method for calculating the average of the positive reviews here is to average the score values ​​corresponding to all the positive reviews, and each positive review will correspond to a score value, where the full score is 5 points, which can be specifically reflected by the corresponding star rating. For example, if the star rating is 3.5, the corresponding score value is 3.5 points. At the same time, the specific judgment method for positive and negative reviews is determined by the system, and then the average of all the calculated positive reviews is calculated to obtain the average positive review score Fi 1, and the average negative review score Fi2 is calculated similarly.

[0036] For example, suppose we have a tourist attraction A, whose comprehensive score Pi on the APP is 4.5 points, the number of positive reviews Li1 is 100, and the number of negative reviews Li2 is 20. Through calculation, we get the average positive score F i 1 is 4.7 points, and the average negative score F i2 is 3.8 points. Then, the effective score Fi p of scenic spot A is (4.7+3.8) / 2=4.25 points. This score takes into account both the high evaluation of tourists who give positive reviews and the low evaluation of tourists who give negative reviews, so it can more comprehensively reflect the actual situation of scenic spot A.

[0037] Then the calculated effective score is compared with the scenic spot score. When the effective score matches the scenic spot score, the same signal is generated and the corresponding scenic spot score is retained. When the effective score does not match the scenic spot score, a different signal is generated, and the effective score is used as the standard to generate standard score information. Similarly, the same analysis is performed on all tourist attractions i, and corresponding signals are generated. The match and mismatch here are respectively expressed as when the difference between the effective score and the scenic spot score is within the range of the preset value, it is expressed as a match, otherwise, if it is not within the range of the preset value, it is expressed as a mismatch, and the specific value of the preset value is determined by the operator based on experience.

[0038] For example, suppose the APP score of a scenic spot is 4.5 points, and the calculated effective score F ip is 4.25 points. If the preset value is set to ±0.25 points, then since the difference between Pi and F ip (0.25 points) is exactly equal to the upper limit of the preset value, this indicates that the two match, and the system will send out a "same signal" and keep the scenic spot score Pi unchanged. On the contrary, if the preset value is set to ±0.1 points, the difference is 0.25 points, which is considered a mismatch. At this time, the system will send out a "different signal" and use the effective score F ip as the new standard score to update the score information of the scenic spot.

[0039] Obtain the increase in tourists corresponding to tourist attraction i within time t, record it as Ki, THI index Yi and satisfaction value Ri, and substitute the obtained parameters into the formula The recommended value Qi corresponding to tourist attraction i is calculated, where a is the preset proportional coefficient. The recommended values ​​of all tourist attractions are calculated in this way, and the recommended value information is generated by sorting them from large to small according to the recommended value Qi, and then the recommended value information is transmitted to the secondary comprehensive analysis unit.

[0040] First, the increase in tourists Ki refers to the increase in the number of tourists experienced by tourist attraction i within time t. This data intuitively reflects the attractiveness and market trends of the scenic spot and is an important indicator to measure the current performance of the scenic spot. Secondly, the THI index Yi, that is, the tourist attraction happiness index, is directly obtained through the Internet. This index comprehensively reflects the ability of the scenic spot to provide tourists with a pleasant experience. It is based on big data analysis and takes into account multiple factors such as amusement facilities, service quality, environmental atmosphere, etc., providing a quick assessment of the overall performance of the scenic spot. Finally, the satisfaction value Ri is obtained by conducting a satisfaction survey on random personnel in tourist attraction i within time t. This process involves selecting a certain number of random personnel (the number depends on the on-site situation), collecting their satisfaction feedback, and calculating the average satisfaction value. This value can reach up to 10 points, representing the highest evaluation of tourists on the scenic spot service and experience.

[0041] For example, suppose that in a certain week, tourist attraction A welcomes an increase of 2,000 tourists Ki, the THI index Yi obtained through the Internet is 85 (out of 100), and the satisfaction value Ri obtained through a survey of 300 random tourists is 7.5 points.

[0042] The secondary comprehensive analysis unit is used to analyze the obtained recommendation value information, analyze the graphic information corresponding to the tourist attractions, and perform secondary analysis and calculation on the recommendation value of the tourist attractions in combination with historical data to obtain a comprehensive value, and generate recommendation information at the same time, and then transmit the recommendation information to the analysis information output unit. The specific method of generating the comprehensive value information is:

[0043] The recommendation value information is obtained, and the tourist attraction corresponding to the maximum recommendation value is selected as the target object, recorded as m, and the corresponding recommendation value Qm is obtained at the same time. Then, the image and text information of the target object is obtained, and the image and text information here is the image information corresponding to the scenic spot displayed on the APP, which can be directly obtained through the Internet. At the same time, the comment information corresponding to the tourists within time t is obtained, wherein the comment information represents the comments corresponding to the tourist attraction, including text and picture comments. The tourists within time t are numbered and recorded as n, and n=1, 2, ..., u, wherein u represents the number of tourists, and based on the comment information corresponding to tourist n, the picture with the most similar images is selected as the comparison picture, specifically Based on the Internet and through artificial intelligence algorithms, similar images are screened, and the most similar images are selected as comparison images. In this way, similar images are sorted from large to small according to the corresponding number, and then the comparison image is matched with the image and text information. If the comparison image matches the image and text information, a retention signal is generated, and the image and text information in the target object is specifically retained. If the comparison image does not match the image and text information, a graphic analysis signal is generated, and the match and mismatch here are screened by similarity. If the similarity between the two exceeds 90%, it means a match, otherwise if the similarity is less than 90%, it means a mismatch, and so on. Comparison and matching are performed;

[0044] The generated image and text analysis signal is processed to determine whether there is an upload record of image and text information within time t. The specific upload record is represented by updating the image and text information. If there is an upload record, the image and text information is retained and a retention signal is generated. If there is no upload record, the image comparison is used as the standard and a replacement signal is generated. At the same time, based on the generated retention signal and replacement signal, the image and text information value of the target object is further calculated, and the number of target object replacement signals is obtained, which is recorded as c and the number of retention signals is recorded as e. At the same time, the image and text score value corresponding to the replacement signal of the target object is obtained, which is recorded as b. The image and text score value here is represented by the average score value of the comments on the pictures with differences, which is obtained by calculating the average of the tourist score values ​​corresponding to all replacement signals. Then the obtained parameters are substituted into the formula Where θ is a preset proportional coefficient, and the specific value is set by the operator, and the graphic information value Tm corresponding to the target object m is calculated;

[0045] Then, the recommended value Qm and the graphic information value Tm of the target object are substituted into the formula Zm=(Qm-Tm)×η to calculate the comprehensive value Zm of the target object, wherein η is a preset proportional coefficient, and the specific value is set by the operator. Similarly, the comprehensive values ​​of all tourist attractions are calculated, and recommendation information is generated from large to small according to the comprehensive value, and the recommendation information is transmitted to the analysis information output unit.

[0046] An analysis information output unit is used to sort and display different tourist attractions according to the recommended information.

[0047] Embodiment 2, as Embodiment 2 of the present invention, is implemented on the basis of Embodiment 1, and differs from Embodiment 1 in that.

[0048] The secondary comprehensive analysis unit is used to analyze the image and text cycle time of the tourist attractions according to the image and text information value of the tourist attractions, calculate the corresponding image and text replacement cycle by combining historical data, and generate cycle replacement information. At the same time, the cycle replacement information is transmitted to the analysis information output unit, and the specific method of generating the cycle replacement information is:

[0049] Obtain the graphic information value Ti corresponding to all tourist attractions i, and compare the graphic information value Ti with the threshold value Ty, and the specific value of the threshold value is set by the operator. If the graphic information value Ti is less than the threshold value, it means that the corresponding tourist attraction needs to perform periodic graphic replacement and generate a periodic analysis signal. On the contrary, if the graphic information value Ti is greater than the threshold value, it means that the corresponding tourist attraction does not need to perform periodic graphic replacement and generates a normal signal.

[0050] The generated periodic analysis signal is processed to obtain historical data within time G, and the value of time G is greater than the value of time t, and it is determined whether there is any upload of graphic information. If so, the time interval of uploading graphic information within time G is obtained, and the mean of the time interval is calculated. At the same time, the mean is used as the graphic replacement cycle, and the period replacement information is generated. If not, the time G1 is used as the graphic replacement cycle, and the period replacement information is generated, and the period replacement information is transmitted to the analysis information output unit. Specifically, the specific value of time G1 is set by the operator, for example, it can be one month or two months, and the specific value is set according to the actual situation of the tourist attraction.

[0051] An analysis information output unit is used to display the acquired period replacement information to the corresponding operator.

[0052] Embodiment 3, as the embodiment 3 of the present invention, focuses on combining the implementation processes of embodiment 1 and embodiment 2 for implementation.

[0053] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0054] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A tourism data analysis system based on the Internet, characterized in that: include: The tourist attraction analysis unit is used to analyze the tourist data transmitted by the Internet information collection unit, obtain effective scores by screening the tourist scores, and calculate the recommendation value corresponding to the tourist attraction based on the scenic spot score, and generate the recommendation value information, and then transmit the recommendation value information to the secondary comprehensive analysis unit; The secondary comprehensive analysis unit is used to analyze the obtained recommendation value information, analyze the graphic information corresponding to the tourist attractions, and perform secondary analysis and calculation on the recommendation value of the tourist attractions in combination with historical data to obtain a comprehensive value, and generate recommendation information at the same time, and then transmit the recommendation information to the analysis information output unit. The specific processing method is as follows: Acquire recommendation value information, and select the tourist attraction corresponding to the maximum recommendation value as the target object, record it as m, and obtain the corresponding recommendation value Qm, then obtain the image and text information of the target object, and obtain the comment information corresponding to the tourists within time t, label the tourists within time t as n, and n=1, 2, ..., u, where u represents the number of tourists, and select the pictures with the most similar images as comparison pictures based on the comment information corresponding to tourist n, specifically based on the Internet and through artificial intelligence algorithms to screen similar images, and select the pictures with the most similar images as comparison pictures, then match the comparison pictures with the image and text information, if the comparison pictures match the image and text information, then generate a retention signal, if the comparison pictures do not match the image and text information, then generate an image and text analysis signal, and process the image and text analysis signal; Determine whether there is an upload record of graphic information within time t. If there is an upload record, the graphic information is retained and a retention signal is generated. If there is no upload record, the comparison image is used as the standard and a replacement signal is generated. At the same time, based on the generated retention signal and replacement signal, the graphic information value of the target object is further calculated, and the number of replacement signals of the target object is obtained, which is recorded as c and the number of retention signals is recorded as e. At the same time, the graphic score value of the target object corresponding to the replacement signal is obtained, which is recorded as b. Then, the obtained parameters are substituted into the formula ,in is a preset proportional coefficient, the specific value is set by the operator, and the graphic information value Tm corresponding to the target object m is calculated; Substitute the target object's recommendation value Qm and image and text information value Tm into the formula Calculate the comprehensive value Zm of the target object, where It is a preset proportional coefficient, and the specific value is set by the operator. The comprehensive value of all tourist attractions is calculated in this way, and the recommendation information is generated from the largest to the smallest comprehensive value; It is also used to analyze the image and text cycle time of tourist attractions according to the image and text information value of the tourist attractions, calculate the corresponding image and text replacement cycle by combining historical data, generate cycle replacement information, and transmit the cycle replacement information to the analysis information output unit.

2. The Internet-based tourism data analysis system according to claim 1, characterized in that: It also includes an Internet information collection unit and an analysis information output unit; An Internet information collection unit is used to obtain tourism data of urban tourism areas and transmit the tourism data to a tourist attraction analysis unit. The obtained tourism data includes the number of tourists, scenic spot ratings and tourist comments. The analysis information output unit is used to display the tourist attractions according to the recommended information and display the acquired periodic replacement information to the corresponding operators.

3. The Internet-based tourism data analysis system according to claim 1, characterized in that: The specific method for the tourist attraction analysis unit to screen the tourist ratings to obtain effective ratings is: Get the city's tourist areas, and label the tourist attractions as i, where i=1, 2, ..., j, where j represents the number of tourist attractions. At the same time, get the scenic spot scores corresponding to the tourist attractions, recorded as Pi. Then get the number of positive reviews Li1 and the number of negative reviews Li2 corresponding to the tourist attraction i, and calculate the average of the positive reviews corresponding to the number of positive reviews Li1, recorded as Fi1, and the average of the negative reviews, recorded as Fi2. At the same time, calculate the average of the two to get the effective score Fip.

4. The Internet-based tourism data analysis system according to claim 1, characterized in that: The specific method of calculating the recommendation value corresponding to the tourist attraction based on the tourist attraction score and generating the recommendation value information by the tourist attraction analysis unit is as follows: The calculated effective score is compared with the scenic spot score. When the effective score matches the scenic spot score, an identical signal is generated and the corresponding scenic spot score is retained. When the effective score does not match the scenic spot score, an different signal is generated and the effective score is used as a standard to generate standard score information. Obtain the increase in tourists Ki, THI index Yi and satisfaction value Ri corresponding to tourist attraction i within time t, and substitute the obtained parameters into the formula The recommended value Qi corresponding to tourist attraction i is calculated, where a is a preset proportional coefficient. The recommended values ​​of all tourist attractions are calculated in this way, and the recommended value information is generated by sorting them from large to small according to the recommended value Qi.

5. The Internet-based tourism data analysis system according to claim 1, characterized in that: The specific method of the secondary comprehensive analysis unit performing graphic and text cycle time analysis on the tourist attractions according to the graphic and text information value of the tourist attractions to generate the cycle replacement information is: Obtain the graphic information value Ti corresponding to all tourist attractions i, and compare the graphic information value Ti with the threshold Ty. If the graphic information value Ti is less than the threshold, a periodic analysis signal is generated. Otherwise, if the graphic information value Ti is greater than the threshold, a normal signal is generated. The generated periodic analysis signal is processed to obtain historical data within time G, and determine whether there is any image and text information uploaded. If so, the time interval for uploading image and text information within time G is obtained, and the mean time interval is calculated. The mean value is used as the image and text replacement cycle, and the period replacement information is generated. If not, time G1 is used as the image and text replacement cycle, and the period replacement information is generated, and the period replacement information is transmitted to the analysis information output unit.

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