A multimedia information collection and distribution system

Abstract

The present invention discloses a multimedia information collection and publishing system, which specifically relates to the technical field of multimedia information analysis, and is used to solve the problems that the existing tourism scenic spot management departments do not accurately understand the congestion situation of tourism scenic spots and do not accurately release the information on the impact of congestion in tourism scenic spots; it includes a data processing module, and a data collection module, a congestion early warning module, a predicted play time module and a threshold adjustment module that are signal-connected to the data processing module; by setting the critical threshold of the comprehensive congestion assessment coefficient of the scenic spot to trigger a congestion early warning prompt signal, it helps the tourism scenic spot management department to timely discover the congestion situation of the scenic spot; by publishing the predicted play time through the system, it can provide a more objective and accurate prediction of the play time, improve the tourism experience and satisfaction; by adjusting the critical threshold of the comprehensive congestion assessment coefficient of the scenic spot according to the tourism weather parameters, the congestion situation of the scenic spot can be predicted and early warned more accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of multimedia information analysis, and more specifically, the present invention relates to a multimedia information collection and publishing system. Background Art

[0002] Multimedia information collection and publishing refers to collecting and integrating information of various media types (such as text, pictures, audio, video, etc.) through various means and publishing it to the target audience. The collected media information can come from various channels, such as sensors, networks, cameras, manual counting, etc. And the publishing methods are also diverse, and can be published through media such as the Internet, mobile applications, television, radio, newspapers, etc.

[0003] In the past, when tourists went to tourist attractions to play, it was often difficult to obtain accurate and comprehensive congestion information. There were often congestion situations at tourist attractions, so they might encounter unnecessary waiting and crowded situations; moreover, the management departments of tourist attractions mostly predicted the congestion situations of tourist attractions based on the number of people and industry experience. The management departments of tourist attractions did not understand the congestion situations of tourist attractions accurately enough and were not accurate enough when publishing information on the impact of tourist attraction congestion.

[0004] To solve the above problems, a technical solution is provided now. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a multimedia information collection and publishing system to solve the problems raised in the above background art.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A multimedia information collection and publishing system includes a data processing module, and a data collection module, a congestion warning module, a play time prediction module, and a threshold adjustment module that are signal-connected to the data processing module;

[0008] The data collection module collects travel information for tourism, information on the impact of scenic spot congestion, and tourism weather information, and sends the travel information for tourism and the information on the impact of scenic spot congestion to the data processing module, and the data processing module calculates the comprehensive congestion assessment coefficient of the scenic spot; it sends the tourism weather information to the data processing module, and the data processing module calculates the tourism weather parameters;

[0009] The congestion warning module judges the congestion situation of the scenic spot and around the scenic spot according to the comprehensive congestion assessment coefficient of the scenic spot calculated by the data processing module;

[0010] The playtime prediction module calculates the predicted playtime through the data processing module based on the comprehensive congestion evaluation coefficient of the scenic spot calculated by the data processing module and the recommended playtime of the scenic spot.

[0011] The threshold adjustment module determines the weather condition according to the tourism weather parameters calculated by the data processing module, and adjusts the critical threshold of the comprehensive congestion evaluation coefficient of the scenic spot based on the tourism weather parameters.

[0012] In a preferred embodiment, the tourism travel information includes the parking vacancy rate of the scenic spot and the road traffic capacity value.

[0013] The parking vacancy rate is the ratio of the number of unused parking spaces in the parking lot of the tourist scenic spot to the total number of parking spaces in the parking lot; the road traffic capacity value is the ratio of the traffic flow to the average vehicle speed.

[0014] The scenic spot congestion impact information includes the personnel density of the scenic spot and the scenic spot popularity value.

[0015] Scenic spot popularity value: After subtracting the number of negative impact information from the number of positive impact information, multiply by the growth rate of scenic spot keywords.

[0016] Calculate the comprehensive congestion evaluation coefficient of the scenic spot by normalizing the parking vacancy rate of the scenic spot, the road traffic capacity value, the personnel density of the scenic spot and the scenic spot popularity value. Its expression is:

[0017] In the formula, J is the comprehensive congestion evaluation coefficient of the scenic spot, Pa, Rv, Ad, Np, Nn, Ar are respectively the parking vacancy rate of the scenic spot, the road traffic capacity value, the personnel density of the scenic spot, the number of positive impact information, the number of negative impact information and the growth rate of scenic spot keywords, and α1, α2, α3, α4 are respectively the preset proportionality coefficients of the parking vacancy rate of the scenic spot, the road traffic capacity value, the personnel density of the scenic spot and the scenic spot popularity value, and α3>α2>α4>α1>0;

[0018] Set the critical threshold of the comprehensive congestion evaluation coefficient of the scenic spot, mark the critical threshold of the comprehensive congestion evaluation coefficient of the scenic spot as J0. When the comprehensive congestion evaluation coefficient of the scenic spot is greater than the critical threshold of the comprehensive congestion evaluation coefficient of the scenic spot, the system generates a congestion warning prompt signal.

[0019] In a preferred embodiment, calculate the predicted playtime, and its expression is:

[0020] Among them, S is the predicted playtime, T is the recommended playtime of the scenic spot, δ is the predicted playtime adjustment coefficient, and the predicted playtime is released through the system.

[0021] In a preferred embodiment, the tourist weather information includes a temperature deviation value and rainfall, and tourist weather parameters are calculated based on the tourist weather information. The tourist weather parameters are: R = β1Tv + β2Ra;

[0022] Wherein, R is the tourist weather parameter, β1 and β2 are respectively preset proportionality coefficients of the temperature deviation value and rainfall, and β2 > β1 > 0;

[0023] Set a tourist weather parameter threshold value and mark it as R0; when the tourist weather parameter is less than the tourist weather parameter threshold value, the weather condition is good; when the tourist weather parameter is greater than or equal to the tourist weather parameter threshold value, the weather condition is poor.

[0024] In a preferred embodiment, when the tourist weather parameter is less than the tourist weather parameter threshold value, the critical threshold of the comprehensive congestion assessment coefficient of the scenic spot is adjusted according to the tourist weather parameter, specifically as follows:

[0025] Calculate a correction coefficient, and its expression is:

[0026] Wherein, P is the correction coefficient, and calculate the critical threshold of the secondary adjusted comprehensive congestion assessment coefficient of the scenic spot, and its expression is: Q = P * J0 * ε;

[0027] Wherein, Q is the critical threshold of the secondary adjusted comprehensive congestion assessment coefficient of the scenic spot, and ε is the threshold adjustment coefficient.

[0028] The technical effects and advantages of a multimedia information collection and publishing system of the present invention:

[0029] 1. Setting the critical threshold of the comprehensive congestion assessment coefficient of the scenic spot as a sign to trigger the congestion warning prompt signal can help the tourist scenic spot management department to timely discover the congestion situation of the scenic spot, take corresponding measures to relieve the congestion. At the same time, the scenic spot management department can timely adjust the resource allocation of the scenic area according to the congestion warning prompt signal. After receiving the congestion warning prompt signal, tourists can reasonably plan their tour time.

[0030] 2. By calculating and predicting the play time and publishing the predicted play time through the system, it can provide a more objective and accurate prediction of the play time, enabling tourists to better plan their travel itinerary and improving the travel experience and satisfaction.

[0031] 3. By adjusting the critical threshold of the comprehensive congestion assessment coefficient of scenic spots according to tourism weather parameters, the congestion of scenic spots can be predicted and warned in advance more accurately, allowing tourists to plan their travel itineraries and allowing tourism scenic spot management departments to take measures to deal with congestion earlier, thereby reducing a series of problems caused by congestion that are not conducive to safety and travel experience; by taking tourism weather parameters into consideration, the impact of weather factors on the congestion of scenic spots can be better reflected, thereby making secondary adjustments and predictions more accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 The present invention is a structural diagram of a multimedia information collection and publishing system. DETAILED DESCRIPTION

[0033] 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.

[0034] Example 1

[0035] Figure 1 A structural schematic diagram of a multimedia information collection and publishing system of the present invention is given, which includes a data processing module, a data collection module, a congestion warning module, a play time prediction module and a threshold adjustment module which are signal-connected to the data processing module.

[0036] The data collection module collects tourist travel information, tourist attraction congestion impact information and tourist weather information, and sends the tourist travel information and tourist attraction congestion impact information to the data processing module, and the data processing module calculates the comprehensive congestion assessment coefficient of the tourist attraction; the tourist weather information is sent to the data processing module, and the data processing module calculates the tourist weather parameters.

[0037] The congestion warning module determines the congestion situation of the scenic spot and its surroundings according to the comprehensive congestion assessment coefficient of the scenic spot calculated by the data processing module.

[0038] The play time prediction module calculates the predicted play time based on the comprehensive congestion assessment coefficient of the scenic spot calculated by the data processing module and the recommended play time of the scenic spot.

[0039] The threshold adjustment module determines the weather conditions according to the tourism weather parameters calculated by the data processing module, and adjusts the critical threshold of the comprehensive congestion assessment coefficient of the scenic spot according to the tourism weather parameters.

[0040] Example 2

[0041] Among them, the travel information reflects the traffic conditions around the scenic spot, the congestion impact information of the scenic spot reflects the congestion situation within the scenic spot, and the travel weather information reflects the weather conditions of the tourist scenic spot.

[0042] The travel information includes the parking vacancy rate of the scenic spot and the road traffic capacity value.

[0043] The parking vacancy rate is the ratio of the number of unused parking spaces in the parking lot of the tourist scenic spot to the total number of parking spaces in the parking lot; the lower the parking vacancy rate, the closer the parking lot is to or reaches saturation, which will cause difficulties for tourists to park and increase the traffic congestion in the scenic spot.

[0044] The road traffic capacity value is the ratio of the traffic flow to the average vehicle speed. The road traffic capacity value reflects the congestion situation of the roads around the scenic spot. For the determination of the roads around the scenic spot, it is determined according to the actual size and actual situation of the scenic spot, which will not be elaborated here; the larger the traffic capacity value, the more congested the road traffic around the scenic spot, the slower the vehicle driving speed, and the higher the vehicle density, resulting in traffic jams and delays.

[0045] It should be noted that the traffic flow can be obtained by collecting and counting the number of vehicles through devices such as video surveillance or road sensors, and the average vehicle speed can be obtained by collecting vehicle trajectory data; the specific collection method can select different technical means according to the actual situation of the roads around the scenic spot, such as using traffic monitoring devices, GPS trajectory recorders, etc.

[0046] The congestion impact information of the scenic spot includes the personnel density of the scenic spot and the popularity value of the scenic spot.

[0047] The personnel density of the scenic spot is the ratio of the number of people in the scenic spot to the area of the actually accessible area of the scenic spot.

[0048] The methods for obtaining the number of people in the scenic spot include but are not limited to counting the number of people entering and leaving through the access control system to obtain the number of people in the scenic spot. The actually accessible area of the scenic spot refers to the area where tourists can move freely in the scenic area, usually excluding areas where tourists cannot move freely such as service areas, office areas, and facility areas in the scenic area; the level of the personnel density of the scenic spot can reflect the congestion situation of tourists in the scenic area. When the personnel density of the scenic spot is relatively high, the flow of tourists in the scenic area is restricted, and situations such as queuing and crowding are likely to occur, affecting the tourist experience.

[0049] After subtracting the number of negative impact information from the number of positive impact information and then multiplying by the growth rate of scenic spot keywords, the result is the popularity value of the scenic spot. The specific explanations of the number of positive impact information, the number of negative impact information, and the growth rate of scenic spot keywords are as follows:

[0050] For the acquisition of the number of positive impact information, the number of negative impact information, and the growth rate of scenic spot keywords, methods can be adopted including but not limited to search engine technology, natural language processing technology (using natural language processing technology to perform word segmentation, part-of-speech tagging, named entity recognition, etc. on the text, so as to extract information related to scenic spots), and crawler technology (using crawler technology to crawl web page content containing scenic spot keywords and extract information about scenic spots). Use natural language processing technology to perform sentiment analysis on the text data related to scenic spots. Sentiment analysis is a text analysis technology that can automatically identify the sentiment tendency in the text and classify it into positive and negative. Commonly used sentiment analysis algorithms include rule-based methods, sentiment dictionary-based methods, and machine learning-based methods.

[0051] The calculation method of the growth rate of scenic spot keywords is as follows:

[0052] Determine the keyword list: First, it is necessary to determine the keyword list to be monitored. These keywords should be words related to scenic spots, such as scenic spot names, special scenic spots, local cuisine, tourist routes, etc.

[0053] Determine the monitoring time period: It is necessary to determine the monitoring time period, such as weekly, monthly, quarterly, etc., to ensure that the time period is long enough to obtain a more accurate growth rate.

[0054] Scrape data: Obtain data related to keywords through web crawler technology or API interfaces. For example, when searching for keywords in a search engine, information such as the number of search result pages and rankings on the search result pages can be obtained.

[0055] Calculate the growth rate: Compare the data volume in the current time period with the data volume in the previous time period and calculate the growth rate. The formula is:

[0056] Growth rate of scenic spot keywords = (Data volume in the current time period - Data volume in the previous time period) / Data volume in the previous time period * 100%.

[0057] For example, if the data volume of a keyword in the current time period is 1000 and the data volume in the previous time period is 500, then the growth rate of this keyword is (1000 - 500) / 500 * 100% = 100%.

[0058] The collection of the number of positive impact information and the number of negative impact information is based on the content related to the scenic spot on the network platform. Use natural language processing technology to perform sentiment analysis on the text data related to the scenic spot, count the number of positive sentiment words and negative sentiment words contained in it, and thus calculate the number of positive impact information and the number of negative impact information.

[0059] It should be noted that when the number of positive impact messages is greater than the number of negative impact messages, the public opinion of the scenic spot is relatively good at this time. The greater the popularity of the scenic spot, the more the number of tourists will increase; when the number of positive impact messages is less than or equal to the number of negative impact messages, the public opinion of the scenic spot is relatively poor at this time. The greater the popularity of the scenic spot, the fewer the number of tourists will be.

[0060] The comprehensive congestion evaluation coefficient of the scenic spot is calculated by normalizing the parking vacancy rate, road traffic capacity value, personnel density of the scenic spot, and popularity value of the scenic spot. Its expression is:

[0061] In the formula, J is the comprehensive congestion evaluation coefficient of the scenic spot, Pa, Rv, Ad, Np, Nn, and Ar are the parking vacancy rate, road traffic capacity value, personnel density of the scenic spot, number of positive impact messages, number of negative impact messages, and growth rate of scenic spot keywords respectively, and α1, α2, α3, α4 are the preset proportionality coefficients of the parking vacancy rate, road traffic capacity value, personnel density of the scenic spot, and popularity value of the scenic spot respectively, and α3>α2>α4>α1>0.

[0062] Set the critical threshold of the comprehensive congestion evaluation coefficient of the scenic spot, mark the critical threshold of the comprehensive congestion evaluation coefficient of the scenic spot as J0. When the comprehensive congestion evaluation coefficient of the scenic spot is greater than the critical threshold of the comprehensive congestion evaluation coefficient of the scenic spot, the congestion situation of the scenic spot and its surrounding areas is relatively serious at this time. The system generates a congestion warning prompt signal. The tourism scenic spot management department takes measures to relieve the congestion situation of the scenic spot according to the congestion warning prompt signal generated by the system. Specifically:

[0063] Release the congestion warning information of the scenic area: The tourism scenic area management department takes measures to release the congestion warning information on the official account, website, and at the entrance of the scenic area to prompt tourists to avoid peak play times.

[0064] Increase the public transport capacity: Increase the departure frequency of public transport, increase the transport capacity, add routes, etc., and encourage tourists to use public transport to go to the scenic spot.

[0065] Restrict private vehicles from entering the scenic area: Restrict or reduce the entry of private vehicles into the scenic area, and encourage tourists to use public transport or walk to the scenic spot.

[0066] Implement time - slot control: According to the passenger flow situation of the scenic spot, implement time - slot control for tourists, guide tourists to travel at off - peak times, and avoid congestion during peak periods.

[0067] Strengthen management and guidance: Strengthen the guidance and management of tourists, guide tourists to choose tour routes, arrange tour time reasonably, and avoid the occurrence of congestion.

[0068] Increase parking spaces: Increase the parking spaces around the scenic area, relieve the problem of difficult parking, and reduce the occurrence of road congestion.

[0069] When the comprehensive congestion assessment coefficient of the scenic spot is less than or equal to the critical threshold of the comprehensive congestion assessment coefficient of the scenic spot, the scenic spot and its surrounding areas are relatively unobstructed, and the system does not generate signals.

[0070] Setting the critical threshold of the comprehensive congestion assessment coefficient of the scenic spot as the sign to trigger the congestion warning prompt signal can help the tourism scenic spot management department timely detect the congestion situation of the scenic spot, take corresponding measures to relieve the congestion, thereby improving the tourists' tour experience and satisfaction. At the same time, the scenic spot management department can timely adjust the resource allocation of the scenic area according to the congestion warning prompt signal, including human resources, material resources, etc., to improve the service quality and the overall operation efficiency of the scenic area; in addition, it can also avoid the excessive congestion of the scenic area, reduce safety risks and management difficulties. For tourists, after receiving the congestion warning prompt signal, they can reasonably plan the tour time, avoid arriving at the scenic spot during the peak period, and improve the efficiency and quality of the tour.

[0071] Embodiment 3

[0072] When tourists go out to play, the arrangement of time has a great impact on the play effect. For example, the recommended play time of the scenic spot is 5 hours, and the tourists only have 5 to 6 hours to play on the same day. However, when the comprehensive congestion assessment coefficient of the scenic spot is greater than the critical threshold of the comprehensive congestion assessment coefficient of the scenic spot, the congestion situation of the scenic spot and its surrounding areas is relatively serious, which will cause the tourists' tour speed to become slow, and the expected play time will increase. In order for the tourists to determine whether the play time is sufficient and fully play the scenic spot, the predicted play time is calculated in this embodiment.

[0073] The predicted play time is calculated, and its expression is:

[0074] Among them, S is the predicted play time, T is the recommended play time of the scenic spot, and δ is the adjustment coefficient of the predicted play time. By adjusting the size of δ, the predicted play time is released by the system. The system is released through, including but not limited to, the official WeChat public account and website. Tourists can obtain the predicted play time, and thus determine whether to go to the scenic spot to play according to the predicted play time.

[0075] By calculating the predicted play time and releasing the predicted play time through the system, it can provide a more objective and accurate prediction of the play time, enable tourists to better plan their travel itinerary, improve the travel experience and satisfaction; it can also relieve the congestion situation of the scenic spot. Tourists can know the predicted play time in advance, can better plan the play time, thereby avoiding causing congestion in the scenic spot during the peak period, reducing the congestion situation of the scenic spot, and improving the management efficiency of the scenic area and the travel experience of tourists; it can promote the rational use of tourism resources. By predicting the play time in advance, it can better utilize tourism resources, reduce the waiting time of tourists, improve the utilization rate of tourism resources, and promote the rational use of tourism resources.

[0076] Example 4

[0077] Weather conditions have a great impact on the congestion situation of tourist attractions. On the one hand, when the weather is good, the number of tourists usually increases, leading to an exacerbation of the congestion situation at the attractions; on the other hand, when the weather is bad, the number of tourists may decrease.

[0078] Tourist weather information includes the temperature deviation value and the rainfall amount, and the tourist weather parameter is calculated according to the tourist weather information.

[0079] The temperature deviation value is the deviation value between the suitable playing temperature of the scenic spot and the actual temperature of the scenic spot. The larger the temperature deviation value, the smaller the desire of tourists to play, and it is less likely to cause congestion at the scenic spot.

[0080] The suitable playing temperature of the scenic spot can be deduced or investigated based on factors such as the climate conditions, seasonal characteristics, and tourist experience of the scenic spot; the actual temperature of the scenic spot can be obtained by setting up a meteorological observation station within the scenic spot or using weather forecast data.

[0081] The rainfall amount is the rainfall amount of the scenic spot, and the rainfall amount can be monitored and collected through devices such as meteorological stations. The specific collection methods include using instruments and equipment such as rain gauges, weather radars, and satellite remote sensing, or obtaining rainfall data from the local meteorological department. The increase in rainfall amount will reduce the tourist's enthusiasm for sightseeing and playing time, reduce the number of tourists in the scenic area, and alleviate the degree of congestion of people.

[0082] The tourist weather parameter is: R = β1Tv + β2Ra.

[0083] Wherein, R is the tourist weather parameter, β1 and β2 are respectively the preset proportionality coefficients of the temperature deviation value and the rainfall amount, and β2 > β1 > 0.

[0084] The smaller the tourist weather parameter, the better the weather conditions, and the relatively higher the desire of tourists to play at the scenic spot.

[0085] Set the tourist weather parameter threshold value and mark it as R0; when the tourist weather parameter is less than the tourist weather parameter threshold value, the weather conditions are good, and the desire of tourists to play at the scenic spot is relatively high, which will cause greater congestion inside and around the scenic spot; when the tourist weather parameter is greater than or equal to the tourist weather parameter threshold value, the weather conditions are not good, and the desire of tourists to play is small, and it is not easy to cause congestion at the scenic spot.

[0086] When the tourist weather parameter is less than the tourist weather parameter threshold value, the tourist weather will have a greater impact on the congestion degree of the scenic spot. Therefore, in this embodiment, when the tourist weather parameter is less than the tourist weather parameter threshold value, the critical threshold value of the comprehensive congestion evaluation coefficient of the scenic spot is adjusted according to the tourist weather parameter, as follows:

[0087] Calculate the correction factor, the expression is:

[0088] Wherein, P is the correction coefficient. The critical threshold of the comprehensive congestion assessment coefficient of the scenic spot is adjusted secondary according to the correction coefficient. The secondary adjusted critical threshold of the comprehensive congestion assessment coefficient of the scenic spot is calculated, and its expression is: Q=P*J0*ε.

[0089] Among them, Q is the critical threshold of the comprehensive congestion assessment coefficient of the secondary adjustment scenic spot, and ε is the threshold adjustment coefficient.

[0090] The smaller the tourism weather parameter is, the smaller the correction coefficient is, so that the critical threshold of the secondary adjustment comprehensive congestion assessment coefficient of the scenic spot is smaller than the critical threshold of the comprehensive congestion assessment coefficient of the scenic spot, thereby providing an earlier warning of the congestion situation at and around the scenic spot, and taking earlier measures to alleviate the congestion situation at the scenic spot.

[0091] Adjusting the critical threshold of the comprehensive congestion assessment coefficient of scenic spots according to tourism weather parameters can more accurately predict and warn of congestion in scenic spots in advance, allowing tourists to plan their travel itineraries and allowing tourism scenic spot management departments to take measures to deal with congestion earlier, thereby reducing a series of problems that are not conducive to safety and travel experience caused by congestion. By taking tourism weather parameters into consideration, the impact of weather factors on the congestion of scenic spots can be better reflected, so that secondary adjustments and predictions can be made more accurately, improving tourists' travel experience and satisfaction, enhancing the attractiveness and competitiveness of scenic spots, and promoting the sustainable development of the tourism industry.

[0092] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0093] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wired (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more collections of available media. The available media can be magnetic media (such as floppy disks, hard disks, magnetic tapes), optical media (such as DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0094] Those of ordinary skill in the art will appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present application.

[0095] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be repeated here.

[0096] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings, direct couplings, or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0097] The unit described as a separation component may or may not be physically separated. The component displayed as a unit may or may not be a physical unit, and it may be located in one place or distributed across multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0098] In addition, each functional unit in various embodiments of this application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0099] If the described function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art or a part of this technical solution can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0100] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all of them should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claimed rights.

[0101] Finally: The above is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A multimedia information collection and distribution system, characterized in that, It includes a data processing module, as well as a data acquisition module, a congestion warning module, a playtime prediction module, and a threshold adjustment module that are signal-connected to the data processing module; The data acquisition module acquires travel information, scenic spot congestion impact information, and travel weather information, sends the travel information and scenic spot congestion impact information to the data processing module, and the data processing module calculates the comprehensive congestion evaluation coefficient of the scenic spot; sends the travel weather information to the data processing module, and the data processing module calculates the travel weather parameters; The congestion warning module judges the congestion situation of the scenic spot and around the scenic spot according to the comprehensive congestion evaluation coefficient of the scenic spot calculated by the data processing module; The playtime prediction module calculates the predicted playtime through the data processing module according to the comprehensive congestion evaluation coefficient of the scenic spot calculated by the data processing module and the recommended playtime of the scenic spot; The threshold adjustment module judges the weather condition according to the travel weather parameters calculated by the data processing module, and adjusts the critical threshold of the comprehensive congestion evaluation coefficient of the scenic spot according to the travel weather parameters; The travel information includes the parking vacancy rate of the scenic spot and the road traffic capacity value; The parking vacancy rate is the ratio of the number of unused parking spaces in the parking lot of the tourist scenic spot to the total number of parking spaces in the parking lot; the road traffic capacity value is the ratio of the traffic flow to the average vehicle speed; The scenic spot congestion impact information includes the scenic spot personnel density and the scenic spot popularity value; The scenic spot popularity value: after subtracting the number of negative impact information from the number of positive impact information, multiply by the scenic spot keyword growth rate; Calculate the comprehensive congestion evaluation coefficient of scenic spots by normalizing the parking vacancy rate of scenic spots, road traffic capacity value, personnel density of scenic spots and popularity value of scenic spots. The expression is as follows: In the formula, J is the comprehensive congestion evaluation coefficient of the scenic spot, Pa, Rv, Ad, Np, Nn, Ar are respectively the parking vacancy rate of the scenic spot, the road traffic capacity value, the scenic spot personnel density, the number of positive impact information, the number of negative impact information, and the scenic spot keyword growth rate, α1, α2, α3, α4 are respectively the preset proportionality coefficients of the parking vacancy rate of the scenic spot, the road traffic capacity value, the scenic spot personnel density, and the scenic spot popularity value, and α3>α2>α4>α1>0; Set the critical threshold of the comprehensive congestion evaluation coefficient of the scenic spot, mark the critical threshold of the comprehensive congestion evaluation coefficient of the scenic spot as J0, when the comprehensive congestion evaluation coefficient of the scenic spot is greater than the critical threshold of the comprehensive congestion evaluation coefficient of the scenic spot, the system generates a congestion warning prompt signal; Calculate the predicted play time, and its expression is: Among them, S is the predicted playtime, T is the recommended playtime of the scenic spot, δ is the predicted playtime adjustment coefficient, and the predicted playtime is released through the system.

2. A multimedia information acquisition and release system according to claim 1, characterized in that: The travel weather information includes the temperature deviation value and the rainfall, and calculates the travel weather parameters according to the travel weather information. The travel weather parameters are: R = β1Tv + β2Ra; Among them, R is the travel weather parameter, Tv, Ra are respectively the temperature deviation value and the rainfall, β1, β2 are respectively the preset proportionality coefficients of the temperature deviation value and the rainfall, and β2>β1>0; Set the travel weather parameter threshold, and mark the travel weather parameter threshold as R0; when the travel weather parameter is less than the travel weather parameter threshold, the weather condition is good; when the travel weather parameter is greater than or equal to the travel weather parameter threshold, the weather condition is poor.

3. A multimedia information collection and distribution system according to claim 2, characterized in that: When the tourism weather parameter is less than the tourism weather parameter threshold, adjust the critical threshold of the comprehensive congestion assessment coefficient of scenic spots according to the tourism weather parameter, as follows: Calculate the correction coefficient, and its expression is: Among them, P is the correction coefficient, and the critical threshold of the comprehensive congestion assessment coefficient of scenic spots after secondary adjustment is calculated. Its expression is: Q = P * J0 * ε; Among them, Q is the critical threshold of the comprehensive congestion assessment coefficient of scenic spots after secondary adjustment, and ε is the threshold adjustment coefficient.

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