Graphic and text product processing method and system for integrated media meteorological services

Abstract

The present invention discloses a method and system for processing graphic products for integrated media meteorological services, which belongs to the field of smart meteorological technology. The present invention significantly improves the diversified dissemination effect of meteorological service information in the integrated media environment by comprehensively using image processing, natural language processing and deep learning technology. Specifically, the present invention can intelligently traverse and filter out meteorological graphic information that meets the dual joint annotation optimization requirements of the target meteorological graphic information, which not only ensures the consistency of the integrated media platform community corresponding to the data source of the graphic information, but also ensures the timeliness and authority of the information release. Through such precise screening and optimization, the present invention effectively improves the dissemination effect and user stickiness of the integrated media meteorological service, so that meteorological information can be disseminated and applied more widely and deeply, providing the public and social production with a higher quality and more efficient meteorological service experience.

Description

Technical Field

[0001] The present invention belongs to the field of smart meteorological technology, and specifically relates to a method and system for processing graphic and text products for integrated media meteorological services. Background Art

[0002] In a converged media environment, the diverse dissemination of meteorological service information faces numerous challenges. On the one hand, due to the wide variety of sources for meteorological graphics and text, accurately and quickly selecting the information relevant to the target and meeting the needs of specific communities presents a technical challenge. On the other hand, even if relevant information is identified, ensuring its timeliness and authority to enhance user experience and the effectiveness of converged media platforms remains a pressing issue. Summary of the Invention

[0003] The present invention provides a method and system for processing graphic and text products for integrated media meteorological services, which can solve or partially solve the technical problems involved in the above-mentioned background technology.

[0004] An embodiment of the present invention provides a method for processing graphic products for integrated media meteorological services, which is applied to a graphic product processing system. The method includes: traversing meteorological graphic information that meets the first joint annotation optimization requirement with the target meteorological graphic information from an initial meteorological graphic information set, wherein each meteorological graphic information in the initial meteorological graphic information set is the meteorological graphic information currently used to perform a integrated media product processing task, the initial meteorological graphic information set includes the target meteorological graphic information, and the first joint annotation optimization requirement includes that the integrated media platform community corresponding to the data source to which the traversed meteorological graphic information belongs is the same as the integrated media platform community corresponding to the data source to which the target meteorological graphic information belongs; on the basis that the number of traversed meteorological graphic information that meets the first joint annotation optimization requirement is U, and U is less than the set number of graphic information, traversing meteorological graphic information that meets the second joint annotation optimization requirement with the target meteorological graphic information in the initial meteorological graphic information set, wherein the sum of the set number of graphic information and the preset number is equal to the number X of meteorological graphic information required to perform the integrated media product processing task, and X is not less than A positive integer greater than 2, and the second joint labeling optimization requirement includes that the meteorological service interaction terminals in the first service state of the traversed meteorological graphic information that are authorized for interactive authentication issued by the data source are all target meteorological service interaction terminals, the meteorological service interaction terminals in the first service state are the meteorological service interaction terminals with the largest timeliness weight among the meteorological service interaction terminals authorized for interactive authentication issued by the data source of the traversed meteorological graphic information, and the target meteorological service interaction terminal is the meteorological service interaction terminal with the largest timeliness weight among the meteorological service interaction terminals authorized for interactive authentication issued by the data source to which the target meteorological graphic information belongs; on the basis that the number of traversed meteorological graphic information that meets the second joint labeling optimization requirement is V, and the sum of U and V is not less than the set number of graphic information, a target meteorological graphic information set that jointly responds to the one integrated media product processing task with the target meteorological graphic information is determined from the traversed meteorological graphic information that meets the first joint labeling optimization requirement and the meteorological graphic information that meets the second joint labeling optimization requirement, wherein the number of meteorological graphic information in the target meteorological graphic information set is equal to the set number of graphic information.

[0005] An embodiment of the present invention provides a graphic product processing system, comprising at least one processor and a memory; the memory stores computer-executable instructions; the at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the above-mentioned method.

[0006] An embodiment of the present invention provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the above method are implemented.

[0007] In an embodiment of the present invention, the diversified dissemination effect of meteorological service information in a converged media environment is significantly improved through the comprehensive use of image processing, natural language processing and deep learning technologies. Specifically, the present invention can intelligently traverse and filter out meteorological graphic information that meets the dual joint annotation optimization requirements of the target meteorological graphic information, which not only ensures the consistency of the converged media platform community corresponding to the data source of the graphic information, but also ensures the timeliness and authority of information release. Through such precise screening and optimization, the present invention effectively improves the dissemination effect and user stickiness of converged media meteorological services, so that meteorological information can be disseminated and applied more widely and deeply, providing the public and social production with a higher quality and more efficient meteorological service experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 This is a flowchart of a method for processing graphic and text products for integrated media meteorological services provided by an embodiment of the present invention.

[0009] Figure 2 The present invention provides a schematic structural diagram of a graphic product processing system. DETAILED DESCRIPTION

[0010] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0011] The terms "first," "second," and the like are used in the present invention to distinguish similar objects, and are not intended to describe a specific order or precedence. It should be understood that such terms are interchangeable where appropriate, so that embodiments of the present invention can be implemented in an order other than that illustrated or described herein. Furthermore, the objects distinguished by "first," "second," and the like generally refer to a class of objects and do not limit the number of objects. For example, the first object can be one or more. Furthermore, the term "and / or" in the present invention refers to at least one of the connected objects, and the character " / " generally indicates an "or" relationship between the connected objects.

[0012] Figure 1 A method for processing graphic and text products for integrated media meteorological services is shown, which is applied to a graphic and text product processing system. The method includes the following steps 110 to 130.

[0013] In the era of integrated media, the rapid and accurate dissemination of meteorological information is of great significance to public life and social production. In order to improve the efficiency and quality of meteorological information dissemination, the present invention uses intelligent means to jointly label and optimize meteorological graphic information, so as to screen out the best combination of meteorological graphic information in a multimedia product processing task. For example, a multimedia center plans to produce an integrated media product on "typhoon warning". The product needs to include multiple meteorological graphic information from different data sources to convey the latest typhoon developments to the public in a comprehensive and timely manner. To this end, the multimedia center uses its own technical solutions to assist in completing this task. That is, it is necessary to select the most suitable information combination for this multimedia product processing task from the currently available meteorological graphic information.

[0014] Step 110 : The graphic product processing system traverses the meteorological graphic information from the initial meteorological graphic information set that meets the first joint labeling optimization requirement with the target meteorological graphic information.

[0015] Among them, each meteorological graphic information in the initial meteorological graphic information set is the meteorological graphic information currently used to perform a multimedia product processing task, the initial meteorological graphic information set includes the target meteorological graphic information, and the first joint annotation optimization requirement includes that the multimedia platform community corresponding to the data source of the traversed meteorological graphic information is the same as the multimedia platform community corresponding to the data source of the target meteorological graphic information.

[0016] First, the image and text product processing system searches the initial set of meteorological image and text information for those that meet the first joint annotation optimization requirements with the target meteorological image and text information. In this scenario, the "initial set of meteorological image and text information" includes all meteorological image and text information currently available for processing the converged media product, while the "target meteorological image and text information" is the meteorological image and text information selected as the core of the converged media product, such as a satellite cloud image showing a typhoon's path.

[0017] The key to the first joint annotation optimization requirement is that the data source of the traversed meteorological graphics and text information must correspond to the same integrated media platform community as the data source of the target meteorological graphics and text information. This means that the graphics and text product processing system will search the initial collection for meteorological graphics and text information that comes from the same community (such as the same region or the same type of media) as the target meteorological graphics and text information to ensure information consistency and complementarity.

[0018] Step 120: The graphic product processing system traverses the meteorological graphic information that meets the second joint labeling optimization requirement with the target meteorological graphic information in the initial meteorological graphic information set, based on the number of meteorological graphic information that meets the first joint labeling optimization requirement being U and U being less than the set number of graphic information.

[0019] Among them, the sum of the set number of graphic information and the preset number is equal to the number X of meteorological graphic information required to execute the one integrated media product processing task, X is a positive integer not less than 2, and the second joint labeling optimization requirement includes that the meteorological service interaction terminals in the first service state of the authorized interactive authentication issued by the data source to which the traversed meteorological graphic information belongs are all target meteorological service interaction terminals, the meteorological service interaction terminals in the first service state are the meteorological service interaction terminals with the largest timeliness weight among the meteorological service interaction terminals with the authorized interactive authentication issued by the data source to which the traversed meteorological graphic information belongs, and the target meteorological service interaction terminal is the meteorological service interaction terminal with the largest timeliness weight among the meteorological service interaction terminals with the authorized interactive authentication issued by the data source to which the target meteorological graphic information belongs.

[0020] After completing the first traversal, the graphic product processing system obtains the number U of meteorological graphic information that meets the first joint annotation optimization requirements. If U is less than the preset number of graphic information (the sum of this set number and the preset number equals the total number of meteorological graphic information required to execute a converged media product processing task, X), the graphic product processing system enters the second traversal step, that is, continuing to search for meteorological graphic information in the initial set of meteorological graphic information that meets the second joint annotation optimization requirements with the target meteorological graphic information.

[0021] The second joint annotation optimization requirement focuses on the meteorological service interaction terminal that has been authorized for interactive authentication by the data source to which the meteorological graphic information belongs. Specifically, the graphic product processing system looks for meteorological service interaction terminals in the first service state to which the data source has issued authorization for interactive authentication, which are all target meteorological service interaction terminals for meteorological graphic information. In the embodiment of the present application, the "meteorological service interaction terminal in the first service state" refers to the meteorological service interaction terminal with the greatest timeliness weight, which represents the most timely and authoritative information release channel in the data source. Through this requirement, the graphic product processing system can ensure that the selected meteorological graphic information not only comes from a reliable source, but also is consistent with the target meteorological graphic information in terms of timeliness.

[0022] Step 130: The graphic product processing system determines a target meteorological graphic information set that jointly responds to the integrated media product processing task with the target meteorological graphic information from the traversed meteorological graphic information that meets the first joint labeling optimization requirements and the meteorological graphic information that meets the second joint labeling optimization requirements, based on the number of meteorological graphic information that meets the second joint labeling optimization requirements that is traversed being V and the sum of U and V being not less than the set number of graphic information.

[0023] The number of meteorological graphic and text information in the target meteorological graphic and text information set is equal to the set number of graphic and text information.

[0024] After traversing the first two steps, the graphic product processing system determines the number U of meteorological graphic information that meets the first joint annotation optimization requirement and the number V of meteorological graphic information that meets the second joint annotation optimization requirement. If the sum of U and V is not less than the set number of graphic information, the graphic product processing system will determine the target set of meteorological graphic information from these two sets to jointly respond to the converged media product processing task with the target meteorological graphic information.

[0025] The key to this step is that the graphic product processing system selects the most suitable combination from the meteorological graphic information that meets the optimization requirements based on preset rules (such as information importance, timeliness, and complementarity), forming a target meteorological graphic information set. The number of meteorological graphic information in this set will be exactly equal to the set number of graphic information, ensuring that the integrated media product contains sufficient and high-quality meteorological information.

[0026] In the above technical solution, the initial meteorological image and text information set refers to the set of all currently available meteorological image and text information when performing a converged media product processing task. This set includes meteorological image and text information from various sources and types, which is used for screening and combination to form the final converged media product.

[0027] Target meteorological imagery refers to a piece of meteorological imagery that has been selected as the core or primary content in the processing of a multimedia product. For example, a satellite image showing a typhoon's path could be the target meteorological imagery.

[0028] The first joint annotation optimization requirement refers to the first optimization criterion followed by the graphic product processing system when screening meteorological graphic information. Specifically, the selected meteorological graphic information's data source must correspond to the same integrated media platform community as the target meteorological graphic information's data source. This ensures information consistency and complementarity.

[0029] The task of processing integrated media products refers to the use of graphic product processing systems to screen, combine and optimize meteorological graphic information from various sources and types to form an integrated media product with comprehensive and timely meteorological information.

[0030] Data sources refer to the original sources or channels that provide meteorological graphic and text information. Different data sources may belong to different converged media platform communities and have different timeliness and authority.

[0031] A converged media platform community refers to a community formed by converged media platforms with the same or similar characteristics (such as region, type, audience, etc.). Platforms within the community usually share information, resources, and audiences.

[0032] The second joint annotation optimization requirement refers to the second optimization criterion followed by the graphic product processing system when selecting meteorological graphic information. Specifically, the target meteorological service interaction terminal must be the first service-level meteorological service interaction terminal authorized for interactive authentication by the data source of the selected meteorological graphic information. This ensures the reliability and timeliness of the information.

[0033] The service status refers to the status of the meteorological service interaction terminal that the data source issues the authorization interaction authentication. In this application, we pay special attention to the first service status, that is, the status of the meteorological service interaction terminal with the greatest timeliness weight.

[0034] A meteorological service interactive terminal refers to a platform or terminal used to publish and exchange meteorological information. Different meteorological service interactive terminals may have different timeliness and authority.

[0035] Timeliness weight is a measure of the timeliness and importance of meteorological information released by a meteorological service interface. The greater the timeliness weight, the more timely and authoritative the information released by the meteorological service interface.

[0036] In detail, step 120 describes the further optimization process of the graphic product processing system when screening meteorological graphic information. Specifically, this step is performed when meteorological graphic information that meets the first joint labeling optimization requirements has been traversed and the number U of such information is less than the preset number of graphic information settings. First, the graphic product processing system will check the number U of meteorological graphic information that meets the first joint labeling optimization requirements that has been traversed. If this number is less than the preset number of graphic information settings, the graphic product processing system will enter the next traversal process. The sum of this preset number of graphic information settings and another preset number is equal to the total number X of meteorological graphic information required to execute a media product processing task, where X is a positive integer not less than 2. Secondly, the graphic product processing system will continue to traverse the initial meteorological graphic information set to find meteorological graphic information that meets the second joint labeling optimization requirements with the target meteorological graphic information. This second joint labeling optimization requirement is very critical. It requires that the meteorological service interaction terminal in the first service state of the authorized interactive authentication issued by the data source to which the traversed meteorological graphic information belongs must be the target meteorological service interaction terminal. The meteorological service interaction terminal in the first service state in the present invention refers to the one with the largest timeliness weight among the meteorological service interaction terminals that are authorized for interactive authentication issued by the data source, and it represents the most timely and authoritative information release channel in the data source. The target meteorological service interaction terminal is the one with the largest timeliness weight among the meteorological service interaction terminals that are authorized for interactive authentication issued by the data source to which the target meteorological graphic information belongs. Through such a traversal and screening process, the graphic product processing system can ensure that the selected meteorological graphic information is not only consistent with the target meteorological graphic information in the community (in compliance with the first joint annotation optimization requirement), but also consistent with the target meteorological graphic information in terms of the timeliness and authority of information release (in compliance with the second joint annotation optimization requirement). In this way, the final integrated media product can contain more comprehensive, timely and authoritative meteorological information, so as to better serve the public and social production.

[0037] Furthermore, step 130 describes how the graphic product processing system determines, from the traversed meteorological graphic information that meets the first and second joint labeling optimization requirements, a target set of meteorological graphic information that is jointly used with the target meteorological graphic information to respond to a media convergence product processing task. First, the graphic product processing system checks the number V of traversed meteorological graphic information that meets the second joint labeling optimization requirements, as well as the number U of previously traversed meteorological graphic information that meets the first joint labeling optimization requirements. If the sum of U and V is not less than the preset number of graphic information, the graphic product processing system proceeds to the next step of the determination process. Secondly, the graphic product processing system screens and combines the traversed meteorological graphic information that meets the first and second joint labeling optimization requirements. This screening and combination process is based on preset rules, such as the importance, timeliness, and complementarity of the information. The graphic product processing system comprehensively considers these factors and selects the most suitable combination from the meteorological graphic information that meets the optimization requirements. Finally, the graphic product processing system will generate a target meteorological graphic information set, the number of which will exactly equal the preset number of graphic information. This target meteorological graphic information set is the finalized meteorological graphic information combination that, together with the target meteorological graphic information, responds to the converged media product processing task. Through this screening and determination process, the graphic product processing system can ensure that the final converged media product contains sufficient and high-quality meteorological information, thereby better meeting the needs of the public and social production.

[0038] In summary, the present invention significantly improves the diversified dissemination effect of meteorological service information in the integrated media environment by comprehensively applying image processing, natural language processing and deep learning technology. Specifically, the present invention can intelligently traverse and filter out meteorological graphic information that meets the dual joint annotation optimization requirements of the target meteorological graphic information, which not only ensures the consistency of the integrated media platform community corresponding to the data source of the graphic information, but also ensures the timeliness and authority of information release. Through such precise screening and optimization, the present invention effectively improves the dissemination effect and user stickiness of integrated media meteorological services, so that meteorological information can be disseminated and applied more widely and deeply, providing the public and social production with a higher quality and more efficient meteorological service experience.

[0039] In some optional embodiments, the target meteorological graphic information set that jointly responds to the integrated media product processing task with the target meteorological graphic information is determined from the traversed meteorological graphic information that meets the first joint labeling optimization requirements and the meteorological graphic information that meets the second joint labeling optimization requirements, including: on the basis that the sum of the U and the V is equal to the set number of the graphic information, the traversed meteorological graphic information that meets the first joint labeling optimization requirements and the meteorological graphic information that meets the second joint labeling optimization requirements are determined as the target meteorological graphic information set.

[0040] It can be understood that this embodiment provides an innovative implementation method for how to determine the target meteorological graphic information set that jointly responds to a media product processing task with the target meteorological graphic information among the traversed meteorological graphic information that meets the first joint labeling optimization requirements and the meteorological graphic information that meets the second joint labeling optimization requirements.

[0041] First, the target meteorological image and text information set was constructed based on two core optimization requirements: the first joint annotation optimization requirement and the second joint annotation optimization requirement. These two requirements screen and filter meteorological image and text information from different dimensions to ensure that the final selected information is not only consistent with the target meteorological image and text information in terms of social network consistency, but also matches the target meteorological image and text information in terms of timeliness and authority.

[0042] During the traversal process, the image and text product processing system obtains the number U of meteorological images and text information that meets the first joint annotation optimization requirement, and the number V of meteorological images and text information that meets the second joint annotation optimization requirement. The sum of these two values ​​is crucial for determining the target meteorological image and text information set.

[0043] Specifically, when the sum of U and V equals the set number of graphic information, the graphic product processing system directly identifies the traversed meteorological graphic information that meets both the first and second joint annotation optimization requirements as the target meteorological graphic information set. This step is based on the graphic product processing system's deep understanding of the converged media product processing tasks and its precise grasp of the needs for meteorological graphic information dissemination.

[0044] The core of the converged media product processing task lies in integrating and optimizing various types of meteorological graphic information to create an attractive and influential converged media product. The realization of this goal is inseparable from the precise screening and optimization of meteorological graphic information. Therefore, the graphic product processing system sets a parameter called the number of graphic information to control the amount of information ultimately selected for the target meteorological graphic information set. At the same time, the graphic product processing system also defines the first and second joint annotation optimization requirements to ensure that the selected meteorological graphic information is consistent with the target meteorological graphic information in multiple dimensions such as community, timeliness, and authority.

[0045] When the sum of U and V equals the set number of images and text, the image processing system has traversed and screened a sufficient number of meteorological images and text that meet both optimization requirements. At this point, the system can directly identify this information as the target meteorological image and text set without further screening or combination.

[0046] This implementation not only simplifies the processing flow and improves efficiency, but also ensures the quality and accuracy of the target meteorological image and text information set. This is because every selected information has been rigorously screened and optimized, and is consistent with the target meteorological image and text information in multiple dimensions.

[0047] Of course, in practical applications, the graphic product processing system needs to consider some special circumstances. However, regardless of the situation, the core goal of the graphic product processing system remains unchanged: to achieve intelligent and precise annotation and optimization of meteorological graphic content through the comprehensive application of image processing, natural language processing, and deep learning technologies, thereby improving the dissemination effect and user stickiness of integrated media meteorological services.

[0048] This embodiment provides an efficient and accurate method for determining the target set of meteorological image and text information that will be used in conjunction with the target meteorological image and text information to produce a converged media product. This approach relies not only on the image and text product processing system's deep understanding of the converged media environment and meteorological service requirements, but also on the innovative and comprehensive application of advanced technologies such as image processing, natural language processing, and deep learning.

[0049] In some further optional embodiments, the target meteorological graphic information set that jointly responds to the one integrated media product processing task with the target meteorological graphic information is determined from the traversed meteorological graphic information that meets the first joint labeling optimization requirements and the meteorological graphic information that meets the second joint labeling optimization requirements, including: on the basis that the sum of U and V is greater than the set number of graphic information, a first meteorological graphic information cluster is screened from the traversed meteorological graphic information that meets the second joint labeling optimization requirements, wherein the sum of the number of the first meteorological graphic information clusters and U is equal to the set number of graphic information. A fixed number of meteorological graphic information is selected; the meteorological graphic information that meets the first joint labeling optimization requirements and the first meteorological graphic information cluster are determined as the target meteorological graphic information set; or on the basis that the sum of U and V is greater than the set number of graphic information, a second meteorological graphic information cluster is selected from the meteorological graphic information that meets the first joint labeling optimization requirements and the meteorological graphic information that meets the second joint labeling optimization requirements, wherein the number of the second meteorological graphic information clusters is equal to the set number of graphic information; the second meteorological graphic information cluster is determined as the target meteorological graphic information set.

[0050] In detail, this embodiment provides a detailed and specific implementation method for the problem of how to determine the target meteorological graphic information set that jointly responds to a media product processing task with the target meteorological graphic information among the traversed meteorological graphic information that meets the first joint labeling optimization requirements and the meteorological graphic information that meets the second joint labeling optimization requirements.

[0051] First, when the sum of the number of meteorological images and texts (U) meeting the first joint annotation optimization requirement and the number of meteorological images and texts (V) meeting the second joint annotation optimization requirement exceeds the set number of images and texts, the image and text product processing system needs to filter out a portion of these meteorological images and texts to form the target meteorological image and text information set. This screening process must follow certain rules and strategies to ensure that the final selected information set meets both the quantity requirements and achieves optimal quality.

[0052] One feasible screening strategy is to select a first cluster of meteorological image and text information from the traversed meteorological image and text information that meets the second joint annotation optimization requirements. The sum of the number of these first clusters and U is exactly equal to the set number of image and text information. In this way, the image and text product processing system can combine the traversed meteorological image and text information that meets the first joint annotation optimization requirements with this first cluster to form the target meteorological image and text information set.

[0053] The specific process of selecting the first meteorological image and text information cluster may involve comprehensive consideration of multiple factors, such as the information's timeliness, importance, and relevance to the target meteorological image and text information. By weighing and comparing these factors, the image and text product processing system can select the highest-quality and most representative portion of meteorological image and text information that meets the second joint annotation optimization requirements as members of the first meteorological image and text information cluster.

[0054] Another screening strategy involves directly selecting a second cluster of meteorological image and text information from the traversed meteorological image and text information that meets the first and second joint annotation optimization requirements. The number of this second cluster of meteorological image and text information is exactly equal to the set number of image and text information, so it can itself serve as the target meteorological image and text information set.

[0055] Compared to the first strategy, the second strategy is more direct and concise. It does not require first selecting a first cluster of meteorological image and text information and then combining it with meteorological image and text information that meets the first joint annotation optimization requirements. Instead, it directly selects and combines all meteorological image and text information that meet the optimization requirements to form a target meteorological image and text information set that meets both quantity and quality requirements.

[0056] Regardless of the screening strategy adopted, the graphic product processing system needs to ensure that the target meteorological graphic information set finally selected has the following characteristics: first, the amount of information is appropriate, neither more nor less than the set number of graphic information; second, the information quality is high, and each selected information has undergone strict screening and optimization, and has high timeliness and authority; third, it maintains a high degree of consistency with the target meteorological graphic information, and can echo and complement the target meteorological graphic information in many aspects such as community, topic, and style.

[0057] To achieve these goals, the graphic product processing system can leverage innovative technical means and methods. For example, it can use image processing technology to automatically identify and annotate meteorological images to ensure the accuracy and completeness of image information. It can also employ natural language processing technology to contextually understand and analyze accompanying text to ensure the fluency and consistency of text information. It can also leverage deep learning technology to intelligently and automatically process the entire screening and combination process, improving processing efficiency and accuracy.

[0058] By applying these technical means and methods, the graphic product processing system can more efficiently and accurately determine the target set of meteorological graphic information that can be combined with the target meteorological graphic information to respond to a converged media product processing task. Each piece of information in this set has been carefully screened and optimized to meet the needs and requirements of the converged media product processing task in multiple aspects. Furthermore, the formation of this set fully demonstrates the graphic product processing system's deep understanding and grasp of the converged media environment and meteorological service needs.

[0059] As such, this embodiment provides a flexible and efficient way to determine the target meteorological graphic information set that is jointly used with the target meteorological graphic information to respond to a converged media product processing task. Regardless of the screening strategy adopted, the graphic product processing system must ensure that the final selected information set is optimal in quantity and quality to meet the needs and requirements of the converged media product processing task. At the same time, the graphic product processing system also needs to continuously explore and innovate to seek more advanced and more intelligent technical means and methods to optimize and improve this process.

[0060] In an alternative embodiment, the method further includes: on the basis that the sum of U and V is less than the set number of graphic information, traversing the meteorological graphic information in the initial meteorological graphic information set that meets the third joint annotation optimization requirement with the target meteorological graphic information, wherein the third joint annotation optimization requirement includes that the media platform community of the second platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic information belongs is the same as the media platform community of the second platform community priority coefficient corresponding to the data source to which the target meteorological graphic information belongs, and the first joint annotation optimization requirement includes that the media platform community of the first platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic information belongs is the same as the media platform community of the first platform community priority coefficient corresponding to the target meteorological graphic information. The data source to which the graphic and text information belongs corresponds to the same integrated media platform community with the first platform community priority coefficient, and the community relationship involvement characteristic value of the integrated media platform community with the second platform community priority coefficient is greater than the community relationship involvement characteristic value of the integrated media platform community with the first platform community priority coefficient; on the basis that the number of meteorological graphic and text information that meets the third joint labeling optimization requirements is P, and the sum of U, V and P is not less than the set number of graphic and text information, the target meteorological graphic and text information set is determined from the traversed meteorological graphic and text information that meets the first joint labeling optimization requirements, the meteorological graphic and text information that meets the second joint labeling optimization requirements and the meteorological graphic and text information that meets the third joint labeling optimization requirements.

[0061] It is understood that this embodiment further expands and deepens the present invention, particularly by introducing a new dimension when processing the initial set of meteorological image and text information: the third joint annotation optimization requirement. This third joint annotation optimization requirement aims to more comprehensively explore and utilize the potential connections between meteorological image and text information, thereby more accurately serving the task of processing integrated media products.

[0062] First, when the sum of the number U of meteorological graphic information that meets the first joint labeling optimization requirements and the number V of meteorological graphic information that meets the second joint labeling optimization requirements is less than the set number of graphic information, this means that the graphic product processing system needs to further search for other qualified information from the initial meteorological graphic information set to supplement the target meteorological graphic information set.

[0063] At this time, the third joint annotation optimization requirement comes into being. It requires that the integrated media platform community of the second platform community priority coefficient corresponding to the data source of the traversed meteorological graphic information must be the same as the integrated media platform community of the second platform community priority coefficient corresponding to the data source of the target meteorological graphic information. In the present invention, the community relationship involvement characteristic value of the integrated media platform community of the second platform community priority coefficient is greater than the community relationship involvement characteristic value of the integrated media platform community of the first platform community priority coefficient, which means that on the second platform, the closeness and influence of the community relationship are higher than those on the first platform. Therefore, in the third joint annotation optimization requirement, the graphic product processing system pays more attention to the consistency of the community relationship on the second platform.

[0064] At the same time, the first joint annotation optimization requirement remains in effect, requiring that the converged media platform community with the first platform community priority coefficient corresponding to the data source of the traversed meteorological graphic information must be the same as the converged media platform community with the first platform community priority coefficient corresponding to the data source of the target meteorological graphic information. This requirement ensures consistency in the community relationship between the target meteorological graphic information and its jointly responded meteorological graphic information on different platforms.

[0065] With the introduction of the third joint annotation optimization requirement, the image and text product processing system's traversal process becomes more complex but also more accurate. The image and text product processing system must simultaneously consider three dimensions of requirements within the initial meteorological image and text information set: the first joint annotation optimization requirement, the second joint annotation optimization requirement, and the third joint annotation optimization requirement. Only when a meteorological image and text information meets all three requirements will it be selected and added to the target meteorological image and text information set.

[0066] Specifically, during the traversal process, the graphic product processing system will first screen out meteorological graphic information that meets the third joint annotation optimization requirements and count their number as P. Then, the graphic product processing system will add the values ​​of U, V, and P to determine whether the total number of meteorological graphic information that has been traversed and meets the optimization requirements has reached the set number of graphic information.

[0067] If the sum of U, V, and P is still less than the set number of images, the image processing system needs to continue traversing the initial set of meteorological images to find more information that meets the requirements. This process may involve adjusting and optimizing the traversal strategy to ensure that the image processing system can more efficiently find meteorological images that meet all optimization requirements.

[0068] If the sum of U, V, and P is no less than the set number of images and texts, the image and text product processing system can determine the target set of meteorological images and texts from the traversed meteorological images and texts that meet the first, second, and third joint annotation optimization requirements. Each piece of information in this set has been rigorously screened and optimized, maintaining a high degree of consistency with the target meteorological images and texts in terms of community relationships, topic consistency, and style coordination.

[0069] In the process of determining the target meteorological graphic and text information set, the graphic and text product processing system can apply some advanced technical means and methods. For example, the graphic and text product processing system can use image processing technology to automatically identify and annotate meteorological images to ensure the accuracy and completeness of image information; it can use natural language processing technology to understand and analyze the context of accompanying text to ensure the fluency and consistency of text information; the graphic and text product processing system can also use deep learning technology to intelligently and automatically process the entire screening and combination process to improve processing efficiency and accuracy.

[0070] By applying these technical means and methods, the graphic product processing system can more efficiently and accurately determine the target set of meteorological graphic information that can be combined with the target meteorological graphic information to respond to a converged media product processing task. Each piece of information in this set has been carefully screened and optimized to meet the needs and requirements of the converged media product processing task in many aspects.

[0071] This provides a more comprehensive and precise method for determining the target set of meteorological images and texts that will be used in conjunction with the target meteorological images and texts to produce a converged media product. This approach fully considers factors such as community relationships across different platforms, topic consistency, and style coordination. By introducing a third-party joint annotation optimization requirement, it further improves the quality and accuracy of the target set of meteorological images and texts.

[0072] In the next step, the meteorological graphic information that meets the third joint annotation optimization requirement with the target meteorological graphic information in the initial meteorological graphic information set is traversed, including: traversing the meteorological graphic information that meets the third joint annotation optimization requirement with the target meteorological graphic information in the initial meteorological graphic information set, wherein the third joint annotation optimization requirement includes that the media platform community of the second platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic information belongs is the same as the media platform community of the second platform community priority coefficient corresponding to the data source to which the target meteorological graphic information belongs, and in the first meteorological service interaction terminal set, the global timeliness weight between the first meteorological service interaction terminal and the data source to which the traversed meteorological graphic information belongs is the largest, wherein the first meteorological service interaction terminal set includes the meteorological service interaction terminal authorized for interactive authentication issued by the data source to which the target meteorological graphic information belongs, or the first meteorological service interaction terminal set includes the target meteorological graphic information. The associated interaction terminal between the meteorological service interaction terminal authorized for interactive authentication issued by the data source of the text information and the second meteorological service interaction terminal set, the second meteorological service interaction terminal set includes the meteorological service interaction terminal authorized for interactive authentication issued by the data source of the meteorological graphic information other than the target meteorological graphic information in the initial meteorological graphic information set; or traversing the meteorological graphic information in the initial meteorological graphic information set that meets the third joint annotation optimization requirement with the target meteorological graphic information, wherein the third joint annotation optimization requirement includes that the media platform community of the second platform community priority coefficient corresponding to the data source of the traversed meteorological graphic information is the same as the media platform community of the second platform community priority coefficient corresponding to the data source of the target meteorological graphic information, and in the first meteorological service interaction terminal set, the global timeliness weight between the second meteorological service interaction terminal and the data source to which the traversed meteorological graphic information belongs and the data source to which the target meteorological graphic information belongs is the largest.

[0073] In this embodiment, the graphic product processing system must traverse the initial set of meteorological graphic information to identify the target meteorological graphic information that meets the third joint annotation optimization requirements. This step is a key part of the entire process, requiring the graphic product processing system to consider not only the attributes of the meteorological graphic information itself, but also its influence within the integrated media platform community and the timeliness weight of the associated meteorological service interaction terminal.

[0074] First, the core content of the third joint annotation optimization requirement includes two aspects: first, the integrated media platform community of the second platform community priority coefficient corresponding to the data source of the traversed meteorological graphic information must be the same as the integrated media platform community of the second platform community priority coefficient corresponding to the data source of the target meteorological graphic information; second, in the first meteorological service interaction terminal set, there is a first meteorological service interaction terminal, and the global timeliness weight between it and the data source to which the traversed meteorological graphic information belongs is the largest.

[0075] The first meteorological service interaction terminal set in the present invention is an important concept. It includes meteorological service interaction terminals that have authorized interactive authentication issued by the data source to which the target meteorological image and text information belongs. These interaction terminals are directly associated with the target meteorological image and text information and play a vital role in meteorological services. In addition, the first meteorological service interaction terminal set may also include meteorological service interaction terminals that have authorized interactive authentication issued by other data sources closely associated with the data source to which the target meteorological image and text information belongs. These interaction terminals constitute the associated interaction terminals of the second meteorological service interaction terminal set.

[0076] After defining the third joint annotation optimization requirements, the image and text product processing system begins traversing the initial set of meteorological image and text information. For each piece of meteorological image and text information in the set, the system checks whether it meets the two aforementioned requirements. If so, the piece of meteorological image and text information is considered to meet the third joint annotation optimization requirements, along with the target meteorological image and text information.

[0077] During the inspection process, the graphic product processing system needs to pay special attention to the global timeliness weight metric. This metric reflects the timeliness relationship between the meteorological service interaction terminal and the data source, and is crucial for determining the timeliness and accuracy of meteorological graphic information. The graphic product processing system calculates the global timeliness weight between each interaction terminal in the first meteorological service interaction terminal set and the data source to which the traversed meteorological graphic information belongs, and finds the maximum value. If the interaction terminal corresponding to this maximum value also meets the other conditions of the third joint annotation optimization requirement, then the meteorological graphic information is considered to meet the requirements.

[0078] In addition to the aforementioned traversal method, the image and text product processing system can also employ another strategy for traversing the initial set of meteorological image and text information. In this strategy, the image and text product processing system also checks whether each piece of meteorological image and text information meets the core requirements of the third joint annotation optimization. However, when checking the global timeliness weight, the image and text product processing system considers the relationship between the second meteorological service interaction terminal, the data source of the traversed meteorological image and text information, and the data source of the target meteorological image and text information.

[0079] Specifically, the image and text product processing system calculates the global timeliness weights between each interaction endpoint in the second set of meteorological service interaction endpoints and the data source of the traversed meteorological image and text information, as well as the data source of the target meteorological image and text information, and finds the maximum value. If the interaction endpoint corresponding to this maximum value also meets the other conditions of the third joint annotation optimization requirement, the meteorological image and text information is also considered to meet the requirements.

[0080] Through the aforementioned traversal strategy, the graphic product processing system can find meteorological graphics and texts within the initial set of meteorological graphics and texts that meet the third-party joint annotation optimization requirements for the target meteorological graphics and texts. This information has the same influence as the target meteorological graphics and texts within the converged media platform community and maintains a close timeliness relationship with the meteorological service interaction terminal. This information is of great significance for enriching the content of converged media products and improving their timeliness and accuracy.

[0081] This embodiment provides a specific implementation method for traversing an initial set of meteorological image and text information that meets the third joint annotation optimization requirement with the target meteorological image and text information. This method fully considers the influence of meteorological image and text information in the integrated media platform community and the timeliness weight of the associated meteorological service interaction terminal, providing strong support for determining the target meteorological image and text information set.

[0082] Under some other preferred design ideas, the traversal of the meteorological graphic information that meets the third joint annotation optimization requirements with the target meteorological graphic information in the initial meteorological graphic information set includes: traversing the meteorological graphic information that meets the third joint annotation optimization requirements with the target meteorological graphic information in the initial meteorological graphic information set, wherein the third joint annotation optimization requirement includes that the integrated media platform community of the second platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic information belongs is the same as the integrated media platform community of the second platform community priority coefficient corresponding to the data source to which the target meteorological graphic information belongs, and the graphic processing disturbance confidence of the data source to which the target meteorological graphic information belongs and the data source to which the traversed meteorological graphic information belongs is not greater than the set confidence, and the graphic processing disturbance confidence includes the cumulative value of the timeliness weight marked in the multiple integrated media product processing tasks in which the target meteorological graphic information has participated and the multiple integrated media product processing tasks in which the traversed meteorological graphic information has participated within the previous specified period is greater than the set weight.

[0083] It can be understood that for the task of traversing the meteorological graphic information in the initial meteorological graphic information set that meets the third joint annotation optimization requirements with the target meteorological graphic information, the graphic product processing system adopts a more sophisticated and comprehensive strategy. It not only considers the consistency of the integrated media platform community corresponding to the data source of the meteorological graphic information, but also introduces the concept of graphic processing disturbance confidence to ensure the stability and reliability of the selected meteorological graphic information.

[0084] Once again, the core requirements for the third joint annotation optimization include two aspects: First, the converged media platform community with the second platform community priority coefficient corresponding to the data source of the traversed meteorological image and text information must be the same as the converged media platform community with the second platform community priority coefficient corresponding to the data source of the target meteorological image and text information. This condition ensures that the influence of the selected meteorological image and text information in the converged media platform community is consistent with that of the target meteorological image and text information, thereby enhancing the overall communication effect of the converged media product. Second, the image processing perturbation confidence level of the data source of the target meteorological image and text information and the data source of the traversed meteorological image and text information must not exceed the set confidence level. The image processing perturbation confidence level is a comprehensive indicator that reflects the stability of the data source's performance across multiple converged media product processing tasks. Specifically, this indicator includes the cumulative value of the timeliness weight of the tag being greater than the set weight across multiple converged media product processing tasks in which the target meteorological image and text information has participated and multiple converged media product processing tasks in which the traversed meteorological image and text information has participated within the specified period. Through this indicator, the graphic product processing system can evaluate the timeliness performance of the data source in multiple processing tasks and then determine its stability.

[0085] After defining the third joint annotation optimization requirements, the image and text product processing system begins traversing the initial set of meteorological image and text information. For each piece of meteorological image and text information in the set, the system checks whether it meets the two aforementioned requirements. If so, the piece of meteorological image and text information is considered to meet the third joint annotation optimization requirements, along with the target meteorological image and text information.

[0086] During the inspection process, the graphic product processing system first focuses on the consistency of the integrated media platform community corresponding to the data source of the meteorological graphic information. By comparing the integrated media platform community with the second platform community priority coefficient of the data source of the traversed meteorological graphic information with the second platform community priority coefficient of the data source of the target meteorological graphic information, the graphic product processing system can quickly screen out meteorological graphic information that meets the requirements.

[0087] Next, the graphic product processing system focuses on analyzing the graphic processing disturbance confidence indicator. For each piece of meteorological graphic information traversed, the graphic product processing system will calculate its graphic processing disturbance confidence with the target meteorological graphic information within the previous specified period. Specifically, the graphic product processing system will count the cumulative value of the timeliness weights of the two meteorological graphic information marked in multiple integrated media product processing tasks that are greater than the set weight, and compare this cumulative value with the set confidence level. If the cumulative value is not greater than the set confidence level, then this piece of meteorological graphic information meets the requirements of the graphic processing disturbance confidence level.

[0088] Through the aforementioned traversal strategy, the image and text product processing system can find meteorological images and texts within the initial set of meteorological images and texts that meet the third joint annotation optimization requirements for the target meteorological images and texts. This information not only has the same influence as the target meteorological images and texts within the converged media platform community, but also demonstrates stable timeliness across multiple converged media product processing tasks. This information is of great significance for improving the overall quality and dissemination effectiveness of converged media products.

[0089] Furthermore, this design approach fully considers the complexity and diversity of practical applications. In practice, data sources may come from different platforms and institutions, and their data quality, update frequency, and timeliness may vary. Therefore, when traversing the initial set of meteorological graphic information, the graphic product processing system needs to comprehensively consider multiple factors to ensure the accuracy and reliability of the selected meteorological graphic information.

[0090] This design approach also demonstrates a deep understanding of technical details and business needs. By introducing the concept of perturbation confidence in image processing, the image processing system can more accurately assess the performance of data sources across multiple converged media product processing tasks, thereby avoiding the selection of unstable meteorological imagery that could negatively impact converged media products.

[0091] It can be understood that this embodiment fully considers multiple factors such as the influence of meteorological graphic information in the integrated media platform community, the performance stability of the data source in multiple integrated media product processing tasks, etc., and provides strong support for determining the target meteorological graphic information set.

[0092] In an alternative embodiment, the method further includes: on the basis that the sum of the U and the V is less than the set number of the graphic information, traversing the meteorological graphic information in the initial meteorological graphic information set that meets the third joint annotation optimization requirement with the target meteorological graphic information, wherein the third joint annotation optimization requirement includes that the fusion media platform community of the second platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic information belongs is the same as the fusion media platform community of the second platform community priority coefficient corresponding to the data source to which the target meteorological graphic information belongs, and the first joint annotation optimization requirement includes that the data source to which the traversed meteorological graphic information belongs The corresponding first platform community priority coefficient of the integrated media platform community is the same as the first platform community priority coefficient of the integrated media platform community corresponding to the data source to which the target meteorological graphic information belongs, and the community relationship involvement characteristic value of the integrated media platform community of the second platform community priority coefficient is greater than the community relationship involvement characteristic value of the integrated media platform community of the first platform community priority coefficient; on the basis that the number of meteorological graphic information that meets the third joint annotation optimization requirements is P, and P is not less than the meteorological graphic information threshold, the target meteorological graphic information set is determined from the traversed meteorological graphic information that meets the third joint annotation optimization requirements.

[0093] Based on this embodiment, the method further expands its application scope and functional depth, especially when processing meteorological graphic information, by introducing a more complex and sophisticated screening and annotation mechanism.

[0094] First, under specific conditions, the method initiates a specific traversal process when the sum of variables U and V is less than a preset number of images and texts. This process occurs within the initial set of meteorological images and texts, aiming to identify meteorological images and texts that meet a set of joint annotation optimization requirements with the target meteorological images and texts. The core of this step is to ensure, through a series of strict screening conditions, that the selected meteorological images and texts are not only relevant to the target information in terms of content, but also highly consistent in terms of dissemination effectiveness and social influence.

[0095] Specifically, the third joint annotation optimization requirement covers the consistency of the converged media platform community to which the data source belongs. This means that for the meteorological graphic information encountered during the traversal process, the converged media platform community with the second platform community priority coefficient corresponding to the data source of the target meteorological graphic information must be exactly the same as the converged media platform community with the second platform community priority coefficient corresponding to the data source of the target meteorological graphic information. This requirement ensures that the selected meteorological graphic information has similar dissemination advantages and influence as the target information in a specific converged media platform community.

[0096] In addition, this method also takes into account the first joint annotation optimization requirement, namely, the first platform community priority coefficient of the integrated media platform community corresponding to the data source of the traversed meteorological graphic information must also be consistent with the first platform community priority coefficient of the integrated media platform community corresponding to the data source of the target meteorological graphic information. Although the community priority coefficient at this level is slightly lower than the second platform community priority coefficient, its consistency is equally important because it affects the dissemination effect of meteorological graphic information in a wider community.

[0097] It's worth noting that this method also incorporates a comparison mechanism, requiring that the community relationship involvement characteristic value of the converged media platform community with the second platform community priority coefficient be greater than the community relationship involvement characteristic value of the converged media platform community with the first platform community priority coefficient. This mechanism ensures that meteorological graphics and text information with greater influence in higher-level communities (second platforms) are prioritized, further improving the overall quality and dissemination effectiveness of the selected meteorological graphics and text information.

[0098] During the traversal process, the meteorological images and texts that meet the third joint annotation optimization requirement are counted one by one, and the number is recorded as P. When P reaches or exceeds the preset meteorological image and text information threshold, the method enters the next stage, that is, further screening and determining the target meteorological image and text information set from all meteorological images and texts that meet the third joint annotation optimization requirement.

[0099] This phase of work is based on a comprehensive consideration of all the previous criteria. The goal is to select, from a large number of meteorological graphics and texts that meet the basic requirements, a collection of information that best matches the target information characteristics, has the greatest dissemination value, and has the greatest social influence. This selection not only considers the accuracy and timeliness of the meteorological graphics and texts themselves, but also their potential for dissemination and influence within different integrated media platforms and communities, ensuring that the final collection of meteorological graphics and texts can best meet business needs and dissemination goals.

[0100] This demonstrates that the introduction of complex joint annotation optimization requirements and a sophisticated traversal and screening mechanism significantly improves the accuracy and efficiency of processing meteorological graphics and text. This not only ensures that the selected meteorological graphics and text are highly consistent with the target information in terms of content, dissemination effectiveness, and social influence, but also further optimizes the overall quality and dissemination effectiveness of the selected information through a comparison mechanism.

[0101] In practical applications, this embodiment can be widely used in various scenarios that require accurate screening and annotation of meteorological graphic information, such as weather forecasting, meteorological disaster warnings, and climate change analysis. This method can quickly select the most valuable and influential information from a large amount of meteorological graphic information, providing the public with more accurate and timely meteorological services, while also providing the integrated media industry with richer and higher-quality meteorological content resources.

[0102] In some other alternative embodiments, the method also includes: on the basis that the sum of the U, the V and the P is less than the set number of the graphic information, traversing the meteorological graphic information in the initial meteorological graphic information set that meets the fourth joint annotation optimization requirement with the target meteorological graphic information, wherein the fourth joint annotation optimization requirement includes that the processing feedback description value of the traversed meteorological graphic information is in the set description feature quadrant, the set description feature quadrant is determined based on the processing feedback description value of the target meteorological graphic information, the set description feature quadrant includes the processing feedback description value of the target meteorological graphic information, the processing feedback description value of the traversed meteorological graphic information is a quality feature value determined based on the annotation optimization records of multiple integrated media product processing tasks in which the traversed meteorological graphic information has participated, and the target meteorological graphic information The processing feedback description value of the information is a quality characteristic value determined based on the annotation optimization records of multiple integrated media product processing tasks in which the target meteorological graphic information has participated; on the basis that the number of meteorological graphic information that meets the fourth joint annotation optimization requirements is Q, and the sum of U, V, P and Q is not less than the set number of graphic information, the target meteorological graphic information set that jointly responds to the integrated media product processing task with the target meteorological graphic information is determined from the traversed meteorological graphic information that meets the first joint annotation optimization requirements, the meteorological graphic information that meets the second joint annotation optimization requirements, the meteorological graphic information that meets the third joint annotation optimization requirements and the meteorological graphic information that meets the fourth joint annotation optimization requirements, wherein the number of meteorological graphic information in the target meteorological graphic information set is equal to the set number of graphic information.

[0103] It can be understood that, based on this embodiment, the method further expands its scope of application and functional depth, especially when processing meteorological graphic information, by introducing a more complex and multi-dimensional screening and annotation mechanism.

[0104] First, under specific conditions—that is, when the sum of variables U, V, and P is less than a preset number of images and texts—the method initiates a specific traversal process. This process occurs within the initial set of meteorological images and texts, aiming to find meteorological images and texts that meet a series of joint annotation optimization requirements with the target meteorological images and texts. The core of this step is to ensure, through a series of strict screening conditions, that the selected meteorological images and texts are not only relevant to the target information in terms of content, but also highly consistent in terms of processing quality, feedback effect, and other aspects.

[0105] Specifically speaking of the fourth joint annotation optimization requirement, it covers the processing feedback description value of meteorological graphic information. This means that the processing feedback description value of the meteorological graphic information encountered during the traversal process must be within the set description feature quadrant. This description feature quadrant is determined based on the processing feedback description value of the target meteorological graphic information, and it includes the processing feedback description value of the target meteorological graphic information itself. This requirement ensures that the selected meteorological graphic information is similar to the target information in terms of processing quality and feedback effect, thereby improving their applicability and effectiveness in the processing tasks of integrated media products.

[0106] Furthermore, the processing feedback description value of the traversed meteorological image and text information is a quality characteristic value determined based on the annotation optimization records of multiple converged media product processing tasks in which the meteorological image and text information has participated. Similarly, the processing feedback description value of the target meteorological image and text information is also a quality characteristic value determined based on the annotation optimization records of multiple converged media product processing tasks in which the target meteorological image and text information has participated. This mechanism ensures the accuracy and reliability of the processing feedback description value, providing strong data support for subsequent screening and annotation work.

[0107] During the traversal process, the meteorological graphics and text information that meet the fourth joint annotation optimization requirements are counted one by one, and their number is recorded as Q. When the sum of U, V, P, and Q reaches or exceeds the preset number of graphics and text information, the method will enter the next stage, that is, among all the meteorological graphics and text information that meet the first, second, third, and fourth joint annotation optimization requirements, further screening and determining the target meteorological graphics and text information set that will jointly respond to a converged media product processing task with the target meteorological graphics and text information.

[0108] This stage of screening is based on a comprehensive consideration of all the previous criteria. The goal is to select, from a large number of meteorological images and texts that meet the basic requirements, the information set that best matches the target information characteristics, has the highest processing value, and provides the highest feedback. This selection not only considers the accuracy and timeliness of the meteorological images and texts themselves, but also their applicability and effectiveness in the processing of integrated media products, ensuring that the final set of meteorological images and texts can best meet business needs and communication goals.

[0109] Specifically, when determining the target set of meteorological graphics and text, the method comprehensively considers the traversed meteorological graphics and text that meet the first, second, third, and fourth joint annotation optimization requirements. These requirements involve multiple aspects, such as the consistency of the integrated media platform community to which the data source belongs and the similarity of the processing feedback description values. This ensures that the selected meteorological graphics and text are highly consistent with the target information in terms of content, dissemination effectiveness, and processing quality.

[0110] Then, from all the meteorological images and texts that meet these requirements, a set of meteorological images and texts equaling the preset number of images and texts is selected as the target meteorological image and text set to be used in conjunction with the target meteorological image and text to respond to a converged media product processing task. This selection not only ensures the quantity and quality of the selected meteorological images and texts, but also fully considers their practical application and dissemination value in the converged media product processing task.

[0111] By introducing complex joint annotation optimization requirements and a sophisticated traversal and screening mechanism, the accuracy and efficiency of processing meteorological graphics and texts have been greatly improved. This not only ensures that the selected meteorological graphics and texts are highly consistent with the target information in terms of content, dissemination effectiveness, and processing quality, but also further optimizes the overall quality and application effectiveness of the selected information through a multi-dimensional comparison mechanism.

[0112] In a further embodiment, the meteorological graphic information that is traversed in the initial meteorological graphic information set and that meets the fourth joint labeling optimization requirement with the target meteorological graphic information includes: traversing in the initial meteorological graphic information set and that meets the fourth joint labeling optimization requirement with the target meteorological graphic information, wherein the fourth joint labeling optimization requirement includes that the processing feedback description value of the traversed meteorological graphic information is in the set description feature quadrant, and in the first meteorological service interaction terminal set, the global timeliness weight between the third meteorological service interaction terminal and the data source to which the traversed meteorological graphic information belongs is the largest, wherein the first meteorological service interaction terminal set includes the meteorological service interaction terminal that is authorized for interactive authentication by the data source to which the target meteorological graphic information belongs, or the first meteorological service interaction terminal set includes the target meteorological An associated interaction terminal between the meteorological service interaction terminal authorized for interactive authentication issued by the data source to which the graphic information belongs and a second set of meteorological service interaction terminals, wherein the second set of meteorological service interaction terminals includes the meteorological service interaction terminals authorized for interactive authentication issued by the data source involved in the meteorological graphic information other than the target meteorological graphic information in the initial meteorological graphic information set; or traversing the meteorological graphic information in the initial meteorological graphic information set that meets the fourth joint annotation optimization requirement with the target meteorological graphic information, wherein the fourth joint annotation optimization requirement includes that the processing feedback description value of the traversed meteorological graphic information is in the set description feature quadrant, and in the first set of meteorological service interaction terminals, the global timeliness weight between the fourth meteorological service interaction terminal and the data source to which the traversed meteorological graphic information belongs and the data source to which the target meteorological graphic information belongs is the largest.

[0113] Based on this example, we elaborate on how to traverse an initial set of meteorological image and text information to identify those that meet the fourth joint annotation optimization requirement for the target meteorological image and text information. This process involves multiple considerations, aiming to ensure that the selected meteorological image and text information is not only relevant to the target information in terms of content, but also highly consistent in terms of dissemination effectiveness, processing quality, and timeliness.

[0114] First, the traversal process occurs within the initial meteorological image and text information set, a database or dataset containing a large amount of meteorological image and text information. The goal of the traversal is to find meteorological image and text information that matches the target image and text information under specific conditions. These specific conditions constitute the fourth joint annotation optimization requirement, which is multidimensional and includes the range of processing feedback description values, the characteristics of the meteorological service interaction terminal to which the data source belongs, and the consideration of global timeliness weighting.

[0115] Specifically, the fourth joint annotation optimization requirement includes two main aspects. First, the processing feedback description value of the traversed meteorological graphic information must be within the set description feature quadrant. This requirement ensures that the selected meteorological graphic information is similar to the target information in terms of processing quality and feedback effect. The processing feedback description value is a quality feature value determined based on the annotation optimization records of multiple integrated media product processing tasks in which the meteorological graphic information has participated. It reflects the performance of the meteorological graphic information during the processing process and user feedback. Second, the global timeliness weight between the data source to which the traversed meteorological graphic information belongs and a meteorological service interaction terminal in the first meteorological service interaction terminal set must be the largest. This requirement ensures that the selected meteorological graphic information has an advantage in timeliness, can be disseminated faster and have an impact. The first meteorological service interaction terminal set includes the meteorological service interaction terminal that is authorized for interactive authentication issued by the data source to which the target meteorological graphic information belongs, or includes the associated interaction terminal between the meteorological service interaction terminal that is authorized for interactive authentication issued by the data source to which the target meteorological graphic information belongs and the second meteorological service interaction terminal set. The second set of meteorological service interaction endpoints includes the meteorological service interaction endpoints that have issued authorization and interactive authentication for the data sources related to meteorological imagery information other than the target imagery information in the initial meteorological imagery information set. These two requirements together constitute the fourth joint annotation optimization requirement, ensuring that the traversed meteorological imagery information is highly consistent with the target imagery information in terms of content, processing quality, feedback effect, and timeliness.

[0116] Furthermore, the implementation plan also provides another possible traversal method. In this way, the fourth joint annotation optimization requirement also includes the condition that the processing feedback description value of the traversed meteorological graphic information is in the set description feature quadrant. But the difference is that in terms of the consideration of the global timeliness weight, it focuses on the global timeliness weight between the fourth meteorological service interaction terminal and the data source to which the traversed meteorological graphic information belongs and the data source to which the target meteorological graphic information belongs. It must be the largest. This change makes the traversal process more flexible and can adapt to different business needs and communication goals.

[0117] Regardless of the traversal method, the ultimate goal is to find meteorological images and texts within the initial set that are highly consistent with the target meteorological images and texts in terms of content, processing quality, feedback effect, and timeliness. These found meteorological images and texts will serve as candidate sets and will participate in the subsequent screening and annotation process to ultimately determine the target meteorological image and text set that will jointly respond to a converged media product processing task with the target meteorological image and text.

[0118] This undoubtedly improves the effectiveness of meteorological information dissemination and its social influence. Through precise screening and annotation, it ensures that the selected meteorological graphics and text information are not only accurate and timely, but also maximize their dissemination effect within integrated media products. This is of great significance for raising public meteorological awareness, enhancing the dissemination of meteorological information, and promoting the development of the integrated media industry.

[0119] In practical applications, this method can be widely applied in various scenarios requiring precise screening and annotation of meteorological graphics and text. For example, in fields such as weather forecasting, meteorological disaster warning, and climate change analysis, it can help meteorological departments quickly select the most valuable and influential information from a vast amount of meteorological graphics and text, providing the public with more accurate and timely meteorological services. Furthermore, it can provide the converged media industry with richer, higher-quality meteorological content resources, driving the innovation and development of converged media products.

[0120] In some independent embodiments, the traversal of meteorological graphic information that meets the second joint labeling optimization requirements with the target meteorological graphic information in the initial meteorological graphic information set includes: determining in the stored meteorological service interaction report that the meteorological service interaction end in the first service state authorized for interactive authentication issued by the data source to which the target meteorological graphic information belongs is the target meteorological service interaction end, wherein the meteorological service interaction report records the meteorological service interaction end in the first service state authorized for interactive authentication issued by the data source to which each meteorological graphic information in the initial meteorological graphic information set belongs; and traversing the meteorological service interaction end in the first service state in the meteorological service interaction report is the meteorological graphic information of the target meteorological service interaction end.

[0121] It can be understood that this embodiment aims to traverse and filter out meteorological image and text information from the initial set of meteorological image and text information that meets the second joint annotation optimization requirements with the target meteorological image and text information. This process involves multiple key steps and considerations to ensure that the ultimately filtered meteorological image and text information is not only relevant to the target information but also meets specific optimization criteria in multiple dimensions.

[0122] The core of this embodiment is to use stored meteorological service interaction reports to identify the meteorological service interaction endpoint in the first service state that has authorized interactive authentication by the data source to which the target meteorological image and text information belongs. This interaction endpoint is referred to as the target meteorological service interaction endpoint. The meteorological service interaction report is an important data source, recording the meteorological service interaction endpoint in the first service state that has authorized interactive authentication by the data source to which each meteorological image and text information in the initial meteorological image and text information set belongs. This report provides essential basic data for subsequent traversal and screening processes.

[0123] After determining the target weather service interaction terminal, the weather service interaction report is further traversed to identify the weather graphics and text information for those weather service interaction terminals in the first service state that are the target weather service interaction terminal. This step is crucial in the traversal process, as it ensures that only weather graphics and text information associated with the target weather service interaction terminal is considered in the subsequent screening and annotation process.

[0124] To further illustrate this process, the graphic product processing system can be further expanded. Each record in the weather service interaction report corresponds to a piece of weather graphic information and a weather service interaction endpoint in the first service state, authorized for interaction authentication by the data source to which this information belongs. When traversing this report, the system checks whether the weather service interaction endpoint in each record matches the target weather service interaction endpoint. If so, the weather graphic information corresponding to this record is considered to meet the initial screening criteria.

[0125] The second joint annotation optimization requirement plays an important guiding role in this process. This requirement may include multiple considerations, such as the timeliness, accuracy, and completeness of the meteorological image and text information, as well as its relevance to the target meteorological image and text in terms of subject, region, and time. Only meteorological image and text information that performs well in these aspects is considered to truly meet the second joint annotation optimization requirement.

[0126] To achieve this goal, a series of complex algorithms and models can be used to evaluate the weather graphics and text corresponding to each record. These algorithms and models can consider a variety of factors, such as the release time, source, content quality, and user feedback of the weather graphics and text. By comprehensively considering these factors, the system can more accurately determine which weather graphics and text are truly valuable and worthy of further consideration and annotation.

[0127] Furthermore, this embodiment may also include additional optimization measures to improve the efficiency of traversal and screening. For example, the system may employ parallel processing or distributed computing techniques to accelerate the traversal process, or utilize cache and indexing mechanisms to reduce unnecessary computation and data access. These optimization measures can significantly improve system performance, enabling the traversal and screening process to be completed in a shorter time.

[0128] In this way, by leveraging meteorological service interactive reports and a series of complex algorithms and models, the goal of traversing and filtering the initial set of meteorological images and texts to identify those that meet the second joint annotation optimization requirements with the target meteorological images and texts was achieved. This process not only considers the quality and value of the meteorological images and texts themselves, but also fully considers their relevance and similarity to the target images and texts across multiple dimensions. Through the application of this method, the image and text product processing system can more effectively manage and utilize large amounts of meteorological images and texts, providing the public with more accurate, timely, and valuable meteorological services.

[0129] In some other independent embodiments, the traversal of the meteorological graphic information that meets the second joint annotation optimization requirement with the target meteorological graphic information in the initial meteorological graphic information set includes: obtaining the timeliness weights between the data source to which each meteorological graphic information in the initial meteorological graphic information set belongs and each meteorological service interaction terminal with open interaction authority, and obtaining Y groups of timeliness weights, wherein the initial meteorological graphic information set includes Y meteorological graphic information, and Y is a positive integer not less than 2; determining the maximum timeliness weight among each group of timeliness weights in the Y groups of timeliness weights, and obtaining Y maximum timeliness weights, and the meteorological service interaction ends corresponding to the Y maximum timeliness weights are determined as the meteorological service interaction ends of the first service status corresponding to the Y meteorological graphic and text information; on the basis of determining that the meteorological service interaction end of the first service status authorized for interactive authentication issued by the data source to which the target meteorological graphic and text information belongs is the target meteorological service interaction end, the meteorological graphic and text information with the meteorological service interaction end of the first service status traversed in the meteorological graphic and text information other than the target meteorological graphic and text information in the Y meteorological graphic and text information is the meteorological graphic and text information of the target meteorological service interaction end.

[0130] It can be understood that the core of this embodiment lies in how to efficiently traverse the initial set of meteorological image and text information and find meteorological image and text information that meets the second joint annotation optimization requirements with the target meteorological image and text information. This process involves calculating and comparing timeliness weights and determining meteorological service interaction terminals based on these weights. The ultimate goal is to select meteorological image and text information that matches the target meteorological service interaction terminal.

[0131] First, the starting point of this embodiment is to obtain the timeliness weight between the data source to which each meteorological graphic information in the initial meteorological graphic information set belongs and each meteorological service interaction terminal with open interaction permissions. This is a complex but critical process because the timeliness weight reflects the speed and efficiency of information transmission between the data source and the meteorological service interaction terminal. The initial meteorological graphic information set contains Y meteorological graphic information, where Y is a positive integer not less than 2, which means that there are at least two meteorological graphic information in the set, providing a sufficient data basis for subsequent traversal and screening.

[0132] After obtaining these timeliness weights, the graphic product processing system enters the next stage: determining the maximum timeliness weight for each of Y groups of timeliness weights. This step aims to identify the meteorological service interface with the fastest and most efficient information transmission between the data source corresponding to each meteorological graphic. By comparing the timeliness weights within each group, the graphic product processing system can obtain Y maximum timeliness weights, each corresponding to Y pieces of meteorological graphic information.

[0133] Next, the graphic product processing system identifies the meteorological service interaction terminals corresponding to the Y maximum timeliness weights as the meteorological service interaction terminals in the first service state corresponding to the Y meteorological graphic information. The "first service state" in this invention refers to a specific service level or state, which may represent the advantages and priority of the meteorological service interaction terminal in terms of information dissemination, data sharing, user interaction, etc. Through this step, the graphic product processing system identifies the meteorological service interaction terminal with the greatest information dissemination advantages for each meteorological graphic information.

[0134] At this point, the graphic product processing system has assigned a weather service interaction terminal in the first service state to each piece of weather graphic information. Next, the graphic product processing system needs to further traverse and filter the target weather service interaction terminal, identifying the target weather graphic information's data source as the weather service interaction terminal in the first service state that has authorized interactive authentication. The target weather service interaction terminal is a specific weather service interaction terminal that plays a key role in the dissemination and sharing of the target weather graphic information.

[0135] After determining the target weather service interaction terminal, the graphic product processing system begins traversing the Y weather graphics (excluding the target) for those whose first service status matches the target weather service interaction terminal. This step is the core of the traversal process, ensuring that only those weather graphics that have the same information dissemination advantages as the target weather service interaction terminal are considered in the subsequent screening and annotation process.

[0136] For example, the initial collection of meteorological graphics and text information is a massive database containing information from various data sources. Each data source has interaction permissions with multiple meteorological service endpoints, but these endpoints vary in the speed and efficiency of information dissemination. By calculating timeliness weights, the graphics and text product processing system can determine which meteorological service endpoint has the fastest information dissemination between each data source and the most efficient one. The graphics and text product processing system then assigns each piece of meteorological graphics and text to a meteorological service endpoint in the primary service state, which has the greatest advantage in information dissemination.

[0137] The graphic product processing system now knows which meteorological service interaction endpoint (i.e., the target meteorological service interaction endpoint) has the first service status and has been authorized for interactive authentication by the data source for the target meteorological graphic information. Next, the graphic product processing system must find information within the remaining meteorological graphic information that also matches this target meteorological service interaction endpoint. This information shares the same advantages in information dissemination as the target meteorological graphic information, and therefore has the potential to meet the second joint annotation optimization requirements for the target meteorological graphic information.

[0138] To achieve this goal, the graphic product processing system employs a series of complex algorithms and models to evaluate the compatibility of each piece of weather graphic information with the target weather service interface. These algorithms and models consider a variety of factors, such as the timeliness, accuracy, and completeness of the weather graphic information, as well as its relevance to the target weather graphic information in terms of subject matter, region, and time. By comprehensively considering these factors, the system can more accurately determine which weather graphic information is truly valuable and worthy of further consideration and annotation.

[0139] Furthermore, the image and text product processing system can employ additional optimization measures to improve traversal and screening efficiency. For example, it can employ parallel processing or distributed computing techniques to accelerate traversal, or utilize caching and indexing mechanisms to reduce unnecessary computation and data access. These optimization measures can significantly improve system performance, enabling traversal and screening to be completed in a shorter time.

[0140] In this way, by calculating timeliness weights, determining the meteorological service interaction endpoints in the first service state, and traversing and screening meteorological imagery that matches the target meteorological service interaction endpoint, the goal of effectively traversing the initial set of meteorological imagery and finding the target meteorological imagery that meets the second joint annotation optimization requirements is achieved. This process not only considers the quality and value of the meteorological imagery itself, but also fully considers its advantages and relevance in information dissemination with the target meteorological imagery. Through the application of this method, the imagery product processing system can more effectively manage and utilize large amounts of meteorological imagery, providing the public with more accurate, timely, and valuable meteorological services.

[0141] Furthermore, Figure 2 Schematic diagram of a graphic product processing system 200 provided in an embodiment of the present invention. Figure 2 The illustrated graphic product processing system 200 includes a processor 210 , which can call and run a computer program from a memory to implement the method in the embodiment of the present invention.

[0142] Alternatively, as Figure 2 As shown, the graphic product processing system 200 may further include a memory 230. The processor 210 may call and run a computer program from the memory 230 to implement the method in the embodiment of the present invention.

[0143] The memory 230 may be a separate device independent of the processor 210 , or may be integrated into the processor 210 .

[0144] Alternatively, as Figure 2 As shown, the graphic product processing system 200 may further include a transceiver 220 , and the processor 210 may control the transceiver 220 to interact with other devices, specifically, to send information or data to other devices, or to receive information or data sent by other devices.

[0145] Optionally, the graphic product processing system 200 can implement the corresponding processes corresponding to the storage engine or components in the storage engine (such as processing modules) or devices deployed with storage engines in various methods of the embodiments of the present invention. For the sake of brevity, they will not be repeated here.

[0146] It should be understood that the processor in the embodiment of the present invention may be an integrated circuit chip with signal processing capabilities.

[0147] It is understood that the memory in the embodiments of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. It should be noted that the memory of the systems and methods described herein is intended to include but is not limited to suitable types of memory.

[0148] Based on the above, a readable storage medium is provided, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the above method are implemented.

[0149] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present invention is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved. For example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0150] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), including a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0151] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the purpose of the present invention and the scope of protection of the present invention, all of which are protected by the present invention.

Claims

1. A method for processing graphic and text products for integrated media meteorological services, characterized in that: The method is implemented by a graphic product processing system, and includes: Traversing meteorological graphic information that meets a first joint annotation optimization requirement with the target meteorological graphic information from the initial meteorological graphic information set, wherein each meteorological graphic information in the initial meteorological graphic information set is meteorological graphic information currently used for performing a converged media product processing task, the initial meteorological graphic information set includes the target meteorological graphic information, and the first joint annotation optimization requirement includes that the converged media platform community corresponding to the data source to which the traversed meteorological graphic information belongs is the same as the converged media platform community corresponding to the data source to which the target meteorological graphic information belongs; On the basis that the number of meteorological graphic information that meets the first joint labeling optimization requirement is U and U is less than the set number of graphic information, the meteorological graphic information that meets the second joint labeling optimization requirement with the target meteorological graphic information is traversed in the initial meteorological graphic information set, wherein the sum of the set number of graphic information and the preset number is equal to the number X of meteorological graphic information required to execute the one integrated media product processing task, and X is a positive integer not less than 2. The second joint labeling optimization requirement includes that the meteorological service interaction terminals in the first service state of the data source to which the traversed meteorological graphic information belongs, which are authorized interactive authentication, are all target meteorological service interaction terminals, the meteorological service interaction terminals in the first service state are the meteorological service interaction terminals with the largest timeliness weight among the meteorological service interaction terminals authorized interactive authentication issued by the data source to which the traversed meteorological graphic information belongs, and the target meteorological service interaction terminal is the meteorological service interaction terminal with the largest timeliness weight among the meteorological service interaction terminals authorized interactive authentication issued by the data source to which the target meteorological graphic information belongs; On the basis that the number of meteorological graphic information that meets the second joint labeling optimization requirements is V, and the sum of U and V is not less than the set number of graphic information, a target meteorological graphic information set that jointly responds to the one-time integrated media product processing task with the target meteorological graphic information is determined from the traversed meteorological graphic information that meets the first joint labeling optimization requirements and the meteorological graphic information that meets the second joint labeling optimization requirements, wherein the number of meteorological graphic information in the target meteorological graphic information set is equal to the set number of graphic information.

2. The method according to claim 1, wherein The determining, from the traversed meteorological graphic information that meets the first joint labeling optimization requirement and the traversed meteorological graphic information that meets the second joint labeling optimization requirement, a target meteorological graphic information set that jointly responds to the one integrated media product processing task with the target meteorological graphic information includes: On the basis that the sum of U and V is equal to the set number of graphic information, the traversed meteorological graphic information that meets the first joint labeling optimization requirement and the meteorological graphic information that meets the second joint labeling optimization requirement are determined as the target meteorological graphic information set.

3. The method according to claim 1, wherein The determining, from the traversed meteorological graphic information that meets the first joint labeling optimization requirement and the traversed meteorological graphic information that meets the second joint labeling optimization requirement, a target meteorological graphic information set that jointly responds to the one integrated media product processing task with the target meteorological graphic information includes: On the basis that the sum of U and V is greater than the set number of graphic information, a first meteorological graphic information cluster is selected from the traversed meteorological graphic information that meets the second joint labeling optimization requirement, wherein the sum of the number of the first meteorological graphic information clusters and U is equal to the set number of graphic information; the traversed meteorological graphic information that meets the first joint labeling optimization requirement and the first meteorological graphic information cluster are determined as the target meteorological graphic information set; Alternatively, on the basis that the sum of U and V is greater than the set number of graphic information, a second meteorological graphic information cluster is screened from the traversed meteorological graphic information that meets the first joint labeling optimization requirements and the meteorological graphic information that meets the second joint labeling optimization requirements, wherein the number of the second meteorological graphic information clusters is equal to the set number of graphic information; and the second meteorological graphic information cluster is determined as the target meteorological graphic information set.

4. The method according to claim 1, wherein The method further comprises: On the basis that the sum of U and V is less than the set number of graphic information, the meteorological graphic information that meets the third joint annotation optimization requirement with the target meteorological graphic information is traversed in the initial meteorological graphic information set, wherein the third joint annotation optimization requirement includes that the integrated media platform community of the second platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic information belongs is the same as the integrated media platform community of the second platform community priority coefficient corresponding to the data source to which the target meteorological graphic information belongs, and the first joint annotation optimization requirement includes that the integrated media platform community of the first platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic information belongs is the same as the integrated media platform community of the first platform community priority coefficient corresponding to the data source to which the target meteorological graphic information belongs, and the community relationship involvement characteristic value of the integrated media platform community of the second platform community priority coefficient is greater than the community relationship involvement characteristic value of the integrated media platform community of the first platform community priority coefficient; On the basis that the number of meteorological graphic information that meets the third joint labeling optimization requirements is P, and the sum of U, V and P is not less than the set number of graphic information, the target meteorological graphic information set is determined from the meteorological graphic information that meets the first joint labeling optimization requirements, the meteorological graphic information that meets the second joint labeling optimization requirements and the meteorological graphic information that meets the third joint labeling optimization requirements.

5. The method according to claim 4, wherein The traversing the meteorological graphic information in the initial meteorological graphic information set that meets the third joint labeling optimization requirement with the target meteorological graphic information includes: In the initial meteorological graphic information set, traverse the meteorological graphic information that meets the third joint annotation optimization requirement with the target meteorological graphic information, wherein the third joint annotation optimization requirement includes that the integrated media platform community of the second platform community priority coefficient corresponding to the data source of the traversed meteorological graphic information is the same as the integrated media platform community of the second platform community priority coefficient corresponding to the data source of the target meteorological graphic information, and in the first meteorological service interaction terminal set, the global timeliness weight between the first meteorological service interaction terminal and the data source to which the traversed meteorological graphic information belongs is the largest, wherein the first meteorological service interaction terminal set includes the meteorological service interaction terminal authorized for interactive authentication issued by the data source to which the target meteorological graphic information belongs, or the first meteorological service interaction terminal set includes the meteorological service interaction terminal authorized for interactive authentication issued by the data source to which the target meteorological graphic information belongs and the second meteorological service interaction terminal set. The associated interaction terminal between the meteorological service interaction terminal set, the second meteorological service interaction terminal set includes the meteorological service interaction terminal that issues the authorized interaction authentication under the data source involved in the meteorological graphic information other than the target meteorological graphic information in the initial meteorological graphic information set; or traverses the meteorological graphic information in the initial meteorological graphic information set that meets the third joint annotation optimization requirement with the target meteorological graphic information, wherein the third joint annotation optimization requirement includes that the media platform community of the second platform community priority coefficient corresponding to the data source of the traversed meteorological graphic information is the same as the media platform community of the second platform community priority coefficient corresponding to the data source of the target meteorological graphic information, and in the first meteorological service interaction terminal set, the global timeliness weight between the second meteorological service interaction terminal and the data source to which the traversed meteorological graphic information belongs and the data source to which the target meteorological graphic information belongs is the largest.

6. The method according to claim 4, wherein The traversing the meteorological graphic information in the initial meteorological graphic information set that meets the third joint labeling optimization requirement with the target meteorological graphic information includes: In the initial meteorological graphic information set, traverse the meteorological graphic information that meets the third joint annotation optimization requirement with the target meteorological graphic information, wherein the third joint annotation optimization requirement includes that the integrated media platform community of the second platform community priority coefficient corresponding to the data source of the traversed meteorological graphic information is the same as the integrated media platform community of the second platform community priority coefficient corresponding to the data source of the target meteorological graphic information, and the graphic processing disturbance confidence of the data source to which the target meteorological graphic information belongs and the data source to which the traversed meteorological graphic information belongs is not greater than the set confidence, and the graphic processing disturbance confidence includes the cumulative value of the timeliness weight marked in the multiple integrated media product processing tasks in which the target meteorological graphic information has participated and the multiple integrated media product processing tasks in which the traversed meteorological graphic information has participated within the previous specified period is greater than the set weight.

7. The method according to claim 1, wherein The method further comprises: On the basis that the sum of U and V is less than the set number of graphic information, the meteorological graphic information that meets the third joint annotation optimization requirement with the target meteorological graphic information is traversed in the initial meteorological graphic information set, wherein the third joint annotation optimization requirement includes that the integrated media platform community of the second platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic information belongs is the same as the integrated media platform community of the second platform community priority coefficient corresponding to the data source to which the target meteorological graphic information belongs, and the first joint annotation optimization requirement includes that the integrated media platform community of the first platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic information belongs is the same as the integrated media platform community of the first platform community priority coefficient corresponding to the data source to which the target meteorological graphic information belongs, and the community relationship involvement characteristic value of the integrated media platform community of the second platform community priority coefficient is greater than the community relationship involvement characteristic value of the integrated media platform community of the first platform community priority coefficient; On the basis that the number of meteorological graphic information that meets the third joint labeling optimization requirement is P and P is not less than the meteorological graphic information threshold, the target meteorological graphic information set is determined from the meteorological graphic information that meets the third joint labeling optimization requirement.

8. The method according to claim 4, wherein The method further comprises: On the basis that the sum of U, V and P is less than the set number of graphic information, the meteorological graphic information that meets the fourth joint annotation optimization requirement with the target meteorological graphic information is traversed in the initial meteorological graphic information set, wherein the fourth joint annotation optimization requirement includes that the processing feedback description value of the traversed meteorological graphic information is in the set description feature quadrant, the set description feature quadrant is determined based on the processing feedback description value of the target meteorological graphic information, the set description feature quadrant includes the processing feedback description value of the target meteorological graphic information, the processing feedback description value of the traversed meteorological graphic information is a quality feature value determined based on the annotation optimization records of multiple integrated media product processing tasks in which the traversed meteorological graphic information has participated, and the processing feedback description value of the target meteorological graphic information is a quality feature value determined based on the annotation optimization records of multiple integrated media product processing tasks in which the target meteorological graphic information has participated; On the basis that the number of meteorological graphic information that meets the fourth joint labeling optimization requirements is Q, and the sum of U, V, P and Q is not less than the set number of graphic information, the target meteorological graphic information set that jointly responds to the one-time integrated media product processing task with the target meteorological graphic information is determined from the traversed meteorological graphic information that meets the first joint labeling optimization requirements, the meteorological graphic information that meets the second joint labeling optimization requirements, the meteorological graphic information that meets the third joint labeling optimization requirements and the meteorological graphic information that meets the fourth joint labeling optimization requirements, wherein the number of meteorological graphic information in the target meteorological graphic information set is equal to the set number of graphic information.

9. The method according to claim 8, wherein The traversing the meteorological graphic information in the initial meteorological graphic information set that meets the fourth joint labeling optimization requirement with the target meteorological graphic information includes: The meteorological graphic information that meets the fourth joint labeling optimization requirement with the target meteorological graphic information is traversed in the initial meteorological graphic information set, wherein the fourth joint labeling optimization requirement includes that the processing feedback description value of the traversed meteorological graphic information is in the set description feature quadrant, and in the first meteorological service interaction terminal set, the global timeliness weight between the third meteorological service interaction terminal and the data source to which the traversed meteorological graphic information belongs is the largest, wherein the first meteorological service interaction terminal set includes the meteorological service interaction terminal authorized for interactive authentication issued by the data source to which the target meteorological graphic information belongs, or the first meteorological service interaction terminal set includes the associated interaction terminal between the meteorological service interaction terminal authorized for interactive authentication issued by the data source to which the target meteorological graphic information belongs and the second meteorological service interaction terminal set, and the second meteorological service interaction terminal set includes the meteorological service interaction terminal authorized for interactive authentication issued by the data source for the meteorological graphic information other than the target meteorological graphic information in the initial meteorological graphic information set; Or traverse the meteorological graphic information in the initial meteorological graphic information set that meets the fourth joint labeling optimization requirement with the target meteorological graphic information, wherein the fourth joint labeling optimization requirement includes that the processing feedback description value of the traversed meteorological graphic information is in the set description feature quadrant, and in the first meteorological service interaction terminal set, the global timeliness weight between the fourth meteorological service interaction terminal and the data source to which the traversed meteorological graphic information belongs and the data source to which the target meteorological graphic information belongs is the largest.

10. A graphic product processing system, characterized in that: The method comprises at least one processor and a memory; the memory stores computer-executable instructions; the at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor executes the method according to any one of claims 1 to 9.

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