Image-text product processing method and system for convergence media meteorological service

Abstract

The invention discloses an image-text product processing method and system for convergence media weather service, and belongs to the technical field of intelligent weather. According to the invention, through comprehensive application of image processing, natural language processing and deep learning technologies, the diversified propagation effect of meteorological service information in the convergence media environment is significantly improved. Specifically, the meteorological image-text information which meets the dual joint annotation optimization requirement with the target meteorological image-text information can be intelligently traversed and screened out, the consistency of a convergence media platform community corresponding to a data source to which the image-text information belongs is ensured, and the timeliness and authority of information release are also ensured. Through the precise screening and optimization, the communication effect and the user stickiness of the convergence media meteorological service are effectively improved, the meteorological information can be broadly and deeply spread and applied, and better and more efficient meteorological service experience is provided for public and social production.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent meteorology, and particularly relates to a method and system for processing graphic and text products for meteorological services in the context of media convergence. Background Art

[0002] In the context of media convergence, the diversified dissemination of meteorological service information faces many challenges. On the one hand, due to the wide sources of meteorological graphic and text information, it has become a technical problem to accurately and quickly screen out information related to the target meteorological graphic and text information and meeting the needs of specific communities; on the other hand, even if relevant information is screened out, how to ensure the timeliness and authority of this information to improve the user experience and the dissemination effect of the media convergence platform is also an urgent problem to be solved at present. Summary of the Invention

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

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

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

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

[0007] In the embodiments of the present invention, by comprehensively applying image processing, natural language processing, and deep learning technologies, the diversified dissemination effect of meteorological service information in the media convergence environment has been significantly improved. Specifically, the present invention can intelligently traverse and screen out meteorological graphic information that meets the requirements of dual joint annotation optimization for the target meteorological graphic information, not only ensuring the consistency of the media convergence platform community corresponding to the data source to which the graphic information belongs, but also guaranteeing 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 media convergence meteorological services, enabling meteorological information to be more widely and deeply disseminated and applied, and providing a more high-quality and efficient meteorological service experience for the public and social production. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0009] Figure 2 It is a schematic structural diagram of a graphic product processing system provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0010] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0011] The terms "first", "second", etc. in the present invention are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally of the same category, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and / or" in the present invention represents at least one of the connected objects, and the character " / " generally represents an "or" relationship between the associated objects before and after.

[0012] Figure 1 There is shown a method for processing graphic products for media convergence meteorological services, which is applied to a graphic product processing system. The method includes the following steps 110-step 130.

[0013] In the era of media convergence, the rapid and accurate dissemination of meteorological information is of great significance to public life and social production. To improve the efficiency and quality of meteorological information dissemination, the present invention uses intelligent means to jointly annotate and optimize meteorological graphic and text information, so as to screen out the optimal combination of meteorological graphic and text information in a single media convergence product processing task. For example, a media convergence center plans to produce a media convergence product about "typhoon warning". This product needs to include multiple meteorological graphic and text information from different data sources to comprehensively and timely convey the latest dynamics of the typhoon to the public. Therefore, the media convergence center uses its own technical solution to assist in completing this task. That is, it is necessary to select the most suitable information combination from the currently available meteorological graphic and text information for this media convergence product processing task.

[0014] Step 110, the graphic and text product processing system traverses the meteorological graphic and text information that meets the first joint annotation optimization requirement with the target meteorological graphic and text information from the initial meteorological graphic and text information set.

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

[0016] First of all, the graphic and text product processing system traverses the meteorological graphic and text information that meets the first joint annotation optimization requirement with the target meteorological graphic and text information from the initial meteorological graphic and text information set. In this scenario, the "initial meteorological graphic and text information set" contains all the currently available meteorological graphic and text information for this media convergence product processing task, while the "target meteorological graphic and text information" is a piece of meteorological graphic and text information that has been selected as the core of this media convergence product, such as a satellite cloud image showing the typhoon path.

[0017] The key to the first joint annotation optimization requirement is that the media convergence platform community corresponding to the data source to which the traversed meteorological graphic and text information belongs must be the same as the media convergence platform community corresponding to the data source to which the target meteorological graphic and text information belongs. This means that the graphic and text product processing system will look for meteorological graphic and text information in the initial set that comes from the same community (such as the same region or the same type of media) as the target meteorological graphic and text information to ensure the consistency and complementarity of the information.

[0018] Step 120: On the basis that the number of meteorological graphic information that meets the first combined annotation optimization requirement traversed by the graphic product processing system is U, and U is less than the set number of graphic information, the graphic product processing system traverses the meteorological graphic information that meets the second combined annotation optimization requirement with the target meteorological graphic information in the initial meteorological graphic information set.

[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-time integrated media product processing task. X is a positive integer not less than 2. The second combined annotation optimization requirement includes that all the meteorological service interaction ends in the first service state of the data source that issues authorization interaction authentication to the traversed meteorological graphic information are the target meteorological service interaction ends. The meteorological service interaction end in the first service state is the meteorological service interaction end with the largest timeliness weight among the data sources that issue authorization interaction authentication to the traversed meteorological graphic information. The target meteorological service interaction end is the meteorological service interaction end with the largest timeliness weight among the data sources that issue authorization interaction authentication to the target meteorological graphic information.

[0020] After completing the first traversal, the graphic product processing system obtains the number U of meteorological graphic information that meets the first combined annotation optimization requirement. If U is less than the preset set number of graphic information (the sum of this set number and the preset number is equal to the total number X of meteorological graphic information required to execute the one-time integrated media product processing task), the graphic product processing system then enters the second traversal, that is, continues to search for meteorological graphic information that meets the second combined annotation optimization requirement with the target meteorological graphic information in the initial meteorological graphic information set.

[0021] The second combined annotation optimization requirement focuses on the meteorological service interaction end of the data source that issues authorization interaction authentication to the meteorological graphic information. Specifically, the graphic product processing system searches for meteorological graphic information whose meteorological service interaction ends in the first service state of the data source that issues authorization interaction authentication are all the target meteorological service interaction ends. In the embodiments of the present application, the "meteorological service interaction end in the first service state" refers to the meteorological service interaction end with the largest 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: On the basis that the number of meteorological graphic and text information that meets the second combined annotation optimization requirements traversed by the graphic and text product processing system is V, and the sum of U and V is not less than the set number of graphic and text information, determine a set of target meteorological graphic and text information that jointly responds to the one-time integrated media product processing task with the target meteorological graphic and text information from the meteorological graphic and text information that meets the first combined annotation optimization requirements and the meteorological graphic and text information that meets the second combined annotation optimization requirements.

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

[0024] After the first two traversals, the graphic and text product processing system obtains the number U of meteorological graphic and text information that meets the first combined annotation optimization requirements and the number V of meteorological graphic and text information that meets the second combined annotation optimization requirements. When the sum of U and V is not less than the set number of graphic and text information, the graphic and text product processing system will determine a set of target meteorological graphic and text information that jointly responds to this integrated media product processing task with the target meteorological graphic and text information from these two groups of meteorological graphic and text information.

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

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

[0027] The target meteorological graphic and text information refers to a piece of meteorological graphic and text information that has been selected as the core or main content in this integrated media product processing task. For example, a satellite cloud image showing the typhoon path can be used as the target meteorological graphic and text information.

[0028] The first combined annotation optimization requirement refers to the first optimization standard followed by the graphic and text product processing system when screening meteorological graphic and text information. The specific requirement is that the integrated media platform community corresponding to the data source to which the selected meteorological graphic and text information belongs must be the same as the integrated media platform community corresponding to the data source to which the target meteorological graphic and text information belongs. This ensures the consistency and complementarity of the information.

[0029] The processing task of the integrated media product refers to the task of using the graphic product processing system 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] The data source refers to the original source or channel that provides meteorological graphic information. Different data sources may belong to different integrated media platform communities and have different timeliness and authority.

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

[0032] The second combined annotation optimization requirement refers to the second optimization criterion followed by the graphic product processing system when screening meteorological graphic information. The specific requirement is that the meteorological service interaction terminals in the first service state of the data source's issued authorization interaction authentication for the selected meteorological graphic information must all be the target meteorological service interaction terminals. This ensures the reliability and timeliness of the information.

[0033] The service state refers to the state of the meteorological service interaction terminal of the data source's issued authorization interaction authentication. In this application, special attention is paid to the first service state, that is, the state of the meteorological service interaction terminal with the largest timeliness weight.

[0034] The meteorological service interaction terminal refers to the platform or terminal used for publishing and interacting meteorological information. Different meteorological service interaction terminals may have different timeliness and authority.

[0035] The timeliness weight refers to the measure of the timeliness and importance of the meteorological service interaction terminal when publishing meteorological information. The meteorological service interaction terminal with a larger timeliness weight usually publishes more timely and authoritative information.

[0036] Specifically, step 120 describes a further optimization process of the graphic product processing system when screening meteorological graphic information. Specifically, this step is executed when the meteorological graphic information that meets the requirements of the first combined annotation optimization has been traversed, and the number U of this information is less than the preset number of graphic information settings. First, the graphic product processing system checks the number U of the meteorological graphic information that has been traversed and meets the requirements of the first combined annotation optimization. If this number is less than the preset number of graphic information settings, then the graphic product processing system will enter the next traversal process. The sum value 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 integration product processing task, where X is a positive integer not less than 2. Secondly, the graphic product processing system will continue to traverse in the initial meteorological graphic information set to find meteorological graphic information that meets the requirements of the second combined annotation optimization with the target meteorological graphic information. This requirement of the second combined annotation optimization is very crucial. It requires that the meteorological service interaction terminals of the first service status of the data source that issues authorization interaction authentication for the traversed meteorological graphic information must all be the target meteorological service interaction terminals. In the present invention, the meteorological service interaction terminal of the first service status refers to the one with the largest timeliness weight among the meteorological service interaction terminals of the data source that issues authorization interaction authentication, which 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 of the data source that issues authorization interaction authentication 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 (meets the requirements of the first combined annotation optimization), but also consistent with the target meteorological graphic information in terms of the timeliness and authority of information release (meets the requirements of the second combined annotation optimization). In this way, the finally formed media integration product can contain more comprehensive, timely, and authoritative meteorological information, thus better serving the public and social production.

[0037] In addition, step 130 describes how the graphic and text product processing system determines a set of target meteorological graphic and text information that jointly responds to a media integration product processing task with the target meteorological graphic and text information among the traversed meteorological graphic and text information that meets the requirements of the first joint annotation optimization and the second joint annotation optimization. First, the graphic and text product processing system checks the number V of the traversed meteorological graphic and text information that meets the requirements of the second joint annotation optimization, and the number U of the previously traversed meteorological graphic and text information that meets the requirements of the first joint annotation optimization. If the sum of U and V is not less than the preset number of graphic and text information settings, then the graphic and text product processing system will enter the next determination process. Secondly, the graphic and text product processing system will screen and combine the traversed meteorological graphic and text information that meets the requirements of the first joint annotation optimization and the meteorological graphic and text information that meets the requirements of the second joint annotation optimization. This screening and combination process is carried out based on preset rules, such as the importance, timeliness, and complementarity of the information. The graphic and text product processing system will comprehensively consider these factors and select the most suitable combination from the meteorological graphic and text information that meets the optimization requirements. Finally, the graphic and text product processing system will form a set of target meteorological graphic and text information, and the number of meteorological graphic and text information in this set will exactly equal the preset number of graphic and text information settings. This set of target meteorological graphic and text information is the finally determined combination of meteorological graphic and text information that jointly responds to this media integration product processing task with the target meteorological graphic and text information. Through such a screening and determination process, the graphic and text product processing system can ensure that the finally formed media integration product contains sufficient and high-quality meteorological information, so as to better meet 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 media integration environment by comprehensively applying image processing, natural language processing, and deep learning technologies. Specifically, the present invention can intelligently traverse and screen meteorological graphic and text information that meets the requirements of double joint annotation optimization with the target meteorological graphic and text information, not only ensuring the consistency of the media integration platform community corresponding to the data source to which the graphic and text information belongs, but also guaranteeing 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 media integration meteorological services, enabling meteorological information to be more widely and deeply disseminated and applied, and providing a more high-quality and efficient meteorological service experience for the public and social production.

[0039] In some alternative embodiments, determining a set of target meteorological graphic texts that jointly responds to the one-time integrated media product processing task with the target meteorological graphic texts from the meteorological graphic texts that meet the first joint annotation optimization requirements and the meteorological graphic texts that meet the second joint annotation optimization requirements during traversal includes: on the basis that the sum of U and V is equal to the set number of graphic texts, determining the meteorological graphic texts that meet the first joint annotation optimization requirements and the meteorological graphic texts that meet the second joint annotation optimization requirements traversed as the set of target meteorological graphic texts.

[0040] It can be understood that this embodiment provides an innovative implementation method for how to determine a set of target meteorological graphic texts that jointly responds to the one-time integrated media product processing task with the target meteorological graphic texts from the meteorological graphic texts that meet the first joint annotation optimization requirements and the meteorological graphic texts that meet the second joint annotation optimization requirements.

[0041] First of all, the composition of the set of target meteorological graphic texts is based on two core optimization requirements: the first joint annotation optimization requirement and the second joint annotation optimization requirement. These two requirements respectively screen and filter meteorological graphic texts from different dimensions to ensure that the finally selected information not only is consistent with the target meteorological graphic texts in the community, but also fits the target meteorological graphic texts in terms of the timeliness and authority of information release.

[0042] During traversal, the graphic text product processing system respectively obtains the number U of meteorological graphic texts that meet the first joint annotation optimization requirements and the number V of meteorological graphic texts that meet the second joint annotation optimization requirements. The sum of these two values is of decisive significance for determining the set of target meteorological graphic texts.

[0043] Specifically, when the sum of U and V is exactly equal to the set number of graphic texts, the graphic text product processing system directly determines the meteorological graphic texts that meet both the first joint annotation optimization requirements and the second joint annotation optimization requirements traversed as the set of target meteorological graphic texts. The realization of this step is based on the in-depth understanding of the integrated media product processing task by the graphic text product processing system and the accurate grasp of the dissemination requirements of meteorological graphic texts.

[0044] The core of the integrated media product processing task lies in integrating and optimizing various meteorological graphic and text information to form an attractive and communicative integrated media product. The realization of this goal is inseparable from the precise screening and optimization of meteorological graphic and text information. Therefore, the graphic and text product processing system sets the parameter of the number of graphic and text information settings to control the number of information finally selected into the target meteorological graphic and text information set. At the same time, the graphic and text product processing system also defines the first joint annotation optimization requirement and the second joint annotation optimization requirement to ensure that the selected meteorological graphic and text information is consistent with the target meteorological graphic and text information in multiple dimensions such as community, timeliness, and authority.

[0045] When the sum value of U and V is equal to the number of graphic and text information settings, it means that the graphic and text product processing system has found a sufficient number of meteorological graphic and text information that meets the two optimization requirements through traversal and screening. At this time, the graphic and text product processing system does not need to perform further screening or combination, and can directly determine these information as the target meteorological graphic and text information set.

[0046] This implementation method not only simplifies the processing process and improves the processing efficiency, but also ensures the quality and accuracy of the target meteorological graphic and text information set. Because each selected piece of information has been strictly screened and optimized and is consistent with the target meteorological graphic and text information in multiple dimensions.

[0047] Of course, in practical applications, the graphic and text product processing system also needs to consider some special situations. But no matter what situation it faces, the core goal of the graphic and text product processing system remains unchanged: that is, through the comprehensive application of image processing, natural language processing, and deep learning technologies, to achieve intelligent and precise annotation optimization of meteorological graphic and text content, so as to improve the communication effect and user stickiness of integrated media meteorological services.

[0048] It can be seen that this embodiment provides an efficient and accurate way to determine the target meteorological graphic and text information set that jointly responds to an integrated media product processing task with the target meteorological graphic and text information. The realization of this method not only depends on the in-depth understanding of the integrated media environment and meteorological service requirements by the graphic and text product processing system, but also benefits from the comprehensive and innovative application of advanced technologies such as image processing, natural language processing, and deep learning.

[0049] In some other alternative embodiments, determining a set of target meteorological graphic texts that jointly responds to the one-time integrated media product processing task with the target meteorological graphic text from the meteorological graphic texts that meet the first joint annotation optimization requirement and the meteorological graphic texts that meet the second joint annotation optimization requirement during traversal includes: on the basis that the sum of U and V is greater than the set number of graphic texts, screening a first cluster of meteorological graphic texts from the meteorological graphic texts that meet the second joint annotation optimization requirement during traversal, where the sum of the number of the first cluster of meteorological graphic texts and U is equal to the set number of graphic texts; determining the meteorological graphic texts that meet the first joint annotation optimization requirement during traversal and the first cluster of meteorological graphic texts as the set of target meteorological graphic texts; or on the basis that the sum of U and V is greater than the set number of graphic texts, screening a second cluster of meteorological graphic texts from the meteorological graphic texts that meet the first joint annotation optimization requirement and the meteorological graphic texts that meet the second joint annotation optimization requirement during traversal, where the number of the second cluster of meteorological graphic texts is equal to the set number of graphic texts; and determining the second cluster of meteorological graphic texts as the set of target meteorological graphic texts.

[0050] Specifically, for the problem of how to determine a set of target meteorological graphic texts that jointly responds to a one-time integrated media product processing task with the target meteorological graphic text from the meteorological graphic texts that meet the first joint annotation optimization requirement and the meteorological graphic texts that meet the second joint annotation optimization requirement during traversal, this embodiment provides a detailed and specific implementation method.

[0051] First, when the sum of the number U of the meteorological graphic texts that meet the first joint annotation optimization requirement and the number V of the meteorological graphic texts that meet the second joint annotation optimization requirement during traversal is greater than the set number of graphic texts, the graphic product processing system needs to screen out a part of these meteorological graphic texts to form a set of target meteorological graphic texts. This screening process needs to follow certain rules and strategies to ensure that the finally selected information set not only meets the quantity requirements but also reaches the optimal quality.

[0052] A feasible screening strategy is to screen out a first cluster of meteorological graphic texts from the meteorological graphic texts that meet the second joint annotation optimization requirement during traversal. The sum of the number of the first cluster of meteorological graphic texts and U is exactly equal to the set number of graphic texts. In this way, the graphic product processing system can combine the meteorological graphic texts that meet the first joint annotation optimization requirement during traversal with this first cluster of meteorological graphic texts to jointly form the set of target meteorological graphic texts.

[0053] The specific process of selecting the first meteorological graphic information cluster may involve comprehensive consideration of multiple factors, such as the timeliness, importance, and relevance of the information to the target meteorological graphic information, etc. By weighing and comparing these factors, the graphic product processing system can select the best and most representative part of the meteorological graphic information that meets the second joint annotation optimization requirements as a member of the first meteorological graphic information cluster.

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

[0055] Compared with the first strategy, the second strategy is more direct and concise. It does not need to first screen out a first meteorological graphic information cluster and then combine it with the meteorological graphic information that meets the first joint annotation optimization requirements. Instead, it directly screens and combines all meteorological graphic information that meet the optimization requirements to form a target meteorological graphic information set that meets the 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 been strictly screened and optimized, 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] In order to achieve these goals, the graphic product processing system can use some innovative technical means and methods. For example, the graphic product processing system can use image processing technology to automatically identify and annotate meteorological images to ensure the accuracy and completeness of image information; the graphic product processing system can use natural language processing technology to understand and analyze the context of the text to ensure the fluency and consistency of the text information; the graphic 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.

[0058] Through the application of these technical means and methods, the graphic and text product processing system can more efficiently and accurately determine the set of target meteorological graphic and text information that jointly responds to a media integration product processing task with the target meteorological graphic and text information. Each piece of information in this set has been carefully screened and optimized to meet the requirements and demands of the media integration product processing task in multiple aspects. At the same time, the formation of this set also fully reflects the in-depth understanding and grasp of the media integration environment and meteorological service needs by the graphic and text product processing system.

[0059] In this way, this embodiment provides a flexible and efficient way to determine the set of target meteorological graphic and text information that jointly responds to a media integration product processing task with the target meteorological graphic and text information. Regardless of which screening strategy is adopted, the graphic and text product processing system needs to ensure that the finally selected information set is optimal in terms of quantity and quality to meet the requirements and demands of the media integration product processing task. At the same time, the graphic and text product processing system also needs to continuously explore and innovate to seek more advanced and 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 and text information, traversing in the initial meteorological graphic and text information set the meteorological graphic and text information that meets the third joint annotation optimization requirements with the target meteorological graphic and text information, where the third joint annotation optimization requirements include that the media integration platform community with the second platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic and text information belongs is the same as the media integration platform community with the second platform community priority coefficient corresponding to the data source to which the target meteorological graphic and text information belongs, the first joint annotation optimization requirements include that the media integration platform community with the first platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic and text information belongs is the same as the media integration platform community with the first platform community priority coefficient corresponding to the data source to which the target meteorological graphic and text information belongs, and the community relationship involvement eigenvalue of the media integration platform community with the second platform community priority coefficient is greater than the community relationship involvement eigenvalue of the media integration platform community with the first platform community priority coefficient; on the basis that the number of the traversed meteorological graphic and text information that meets the third joint annotation optimization requirements is P, and the sum of U, V, and P is not less than the set number of graphic and text information, determining the set of target meteorological graphic and text information from the meteorological graphic and text information that meets the first joint annotation optimization requirements, the meteorological graphic and text information that meets the second joint annotation optimization requirements, and the meteorological graphic and text information that meets the third joint annotation optimization requirements.

[0061] It is understandable that based on this embodiment, the present invention has been further extended and deepened. Especially when processing the initial meteorological graphic information set, a new dimension is introduced: the third joint annotation optimization requirement. The third joint annotation optimization requirement aims to more comprehensively explore and utilize the potential connections between meteorological graphic information to more accurately serve the media integration product processing task.

[0062] First, when the sum value of 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 is less than the set number of graphic information, this means that the graphic product processing system still needs to further search for other eligible information from the initial meteorological graphic information set to supplement it into the target meteorological graphic information set.

[0063] At this time, the third joint annotation optimization requirement comes into being. It requires that the media integration platform community with the second platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic information belongs must be the same as the media integration platform community with the second platform community priority coefficient corresponding to the data source to which the target meteorological graphic information belongs. In the present invention, the community relationship involvement eigenvalue of the media integration platform community with the second platform community priority coefficient is greater than the community relationship involvement eigenvalue of the media integration platform community with the first platform community priority coefficient, which means that on the second platform, the tightness 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 is still valid. It requires that the media integration platform community with the first platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic information belongs must be the same as the media integration platform community with the first platform community priority coefficient corresponding to the data source to which the target meteorological graphic information belongs. This requirement ensures the consistency of the community relationship between the target meteorological graphic information and its jointly responsive meteorological graphic information on different platforms.

[0065] After introducing the third joint annotation optimization requirement, the traversal process of the graphic product processing system becomes more complex but also more accurate. The graphic product processing system needs to consider the requirements of three dimensions simultaneously in the initial meteorological graphic information set: the first joint annotation optimization requirement, the second joint annotation optimization requirement, and the third joint annotation optimization requirement. Only when a piece of meteorological graphic information meets all these three requirements can it be possibly selected and added to the target meteorological graphic information set.

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

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

[0068] If the sum of U, V, and P is not less than the set number of graphic and text information, then the graphic and text product processing system can determine the target set of meteorological graphic and text information from the meteorological graphic and text information that has been traversed and meets the requirements of the first combined annotation optimization, the second combined annotation optimization, and the third combined annotation optimization. Each piece of information in this set has undergone strict screening and optimization, and they are highly consistent with the target meteorological graphic and text information in multiple aspects such as community relationship, topic consistency, and style coordination.

[0069] During the process of determining the target set of meteorological graphic and text information, 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 integrity of image information; the graphic and text product processing system can use natural language processing technology to understand and analyze the context of the captions to ensure the fluency and consistency of text information; the graphic and text product processing system can also use deep learning technology to perform intelligent and automated processing on the entire screening and combination process to improve processing efficiency and accuracy.

[0070] Through the application of these technical means and methods, the graphic and text product processing system can more efficiently and accurately determine the target set of meteorological graphic and text information that jointly responds to a media integration product processing task with the target meteorological graphic and text information. Each piece of information in this set has undergone careful screening and optimization, and they can meet the needs and requirements of the media integration product processing task in multiple aspects.

[0071] In this way, a more comprehensive and accurate way is provided to determine the target set of meteorological graphic and text information that jointly responds to a media integration product processing task with the target meteorological graphic and text information. It fully considers multiple factors such as community relationship, topic consistency, and style coordination on different platforms, and further improves the quality and accuracy of the target set of meteorological graphic and text information by introducing the requirements of the third combined annotation optimization.

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

[0073] In this embodiment, the graphic and text product processing system needs to realize traversing the meteorological graphic and text information that meets the third joint annotation optimization requirements with the target meteorological graphic and text information in the initial meteorological graphic and text information set. This step is a key link in the whole process, which requires the graphic and text product processing system to not only consider the attributes of the meteorological graphic and text information itself, but also combine its influence in the media integration platform community and the timeliness weight of the associated meteorological service interaction end.

[0074] First, the core content of the third joint annotation optimization requirements includes two aspects: one is that the media integration platform community with the priority coefficient of the second platform community corresponding to the data source to which the traversed meteorological graphic information belongs must be the same as the media integration platform community with the priority coefficient of the second platform community corresponding to the data source to which the target meteorological graphic information belongs; the other is that in the first meteorological service interaction end set, there exists a first meteorological service interaction end, 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 end set in the present invention is an important concept, which includes the meteorological service interaction ends authorized and authenticated by the data source to which the target meteorological graphic information belongs. These interaction ends are directly associated with the target meteorological graphic information and play an important role in meteorological services. In addition, the first meteorological service interaction end set may also include the meteorological service interaction ends authorized and authenticated by other data sources closely related to the data source to which the target meteorological graphic information belongs, and these interaction ends constitute the associated interaction ends of the second meteorological service interaction end set.

[0076] After clarifying the third joint annotation optimization requirements, the graphic product processing system starts to traverse the initial meteorological graphic information set. For each piece of meteorological graphic information in the set, the graphic product processing system will check whether it meets the above two requirements. If it meets, then this piece of meteorological graphic information is considered to meet the third joint annotation optimization requirements with the target meteorological graphic information.

[0077] During the inspection process, the graphic product processing system needs to pay special attention to the global timeliness weight indicator. This indicator reflects the timeliness relationship between the meteorological service interaction end and the data source, and it is crucial for determining the timeliness and accuracy of meteorological graphic information. The graphic product processing system will calculate the global timeliness weight between each interaction end in the first meteorological service interaction end set and the data source to which the traversed meteorological graphic information belongs, and find the maximum value among them. If the interaction end corresponding to this maximum value simultaneously meets the other conditions of the third joint annotation optimization requirements, then this piece of meteorological graphic information is considered to meet the requirements.

[0078] In addition to the above traversal method, the graphic product processing system can also adopt another strategy to traverse the initial meteorological graphic information set. In this strategy, the graphic product processing system will also check whether each piece of meteorological graphic information meets the core content of the third joint annotation optimization requirements. However, when checking the global timeliness weight, the graphic product processing system will consider the relationship between the second meteorological service interaction end and the data source to which the traversed meteorological graphic information belongs and the data source to which the target meteorological graphic information belongs.

[0079] Specifically, the graphic and text product processing system calculates the global timeliness weight between each interactive terminal in the second meteorological service interactive terminal set and the data sources to which the traversed meteorological graphic and text information belongs and the data sources to which the target meteorological graphic and text information belongs, and finds the maximum value among them. If the interactive terminal corresponding to this maximum value also meets other conditions of the third joint annotation optimization requirements, then this meteorological graphic and text information is also considered to meet the requirements.

[0080] Through the above traversal strategy, the graphic and text product processing system can find meteorological graphic and text information that meets the third joint annotation optimization requirements with the target meteorological graphic and text information in the initial meteorological graphic and text information set. These information have the same influence as the target meteorological graphic and text information in the integrated media platform community and maintain a close timeliness relationship with the meteorological service interactive terminal. They are of great significance for enriching the content of integrated media products and improving the timeliness and accuracy of products.

[0081] It can be seen that this embodiment provides a specific implementation method for traversing meteorological graphic and text information that meets the third joint annotation optimization requirements with the target meteorological graphic and text information in the initial meteorological graphic and text information set. This method fully considers the influence of meteorological graphic and text information in the integrated media platform community and the timeliness weight of the associated meteorological service interactive terminal, providing strong support for determining the target meteorological graphic and text information set.

[0082] In some other preferred design ideas, traversing the meteorological graphic and text information that meets the third joint annotation optimization requirements with the target meteorological graphic and text information in the initial meteorological graphic and text information set includes: traversing the meteorological graphic and text information that meets the third joint annotation optimization requirements with the target meteorological graphic and text information in the initial meteorological graphic and text information set, where the third joint annotation optimization requirements include that the integrated media platform community with the second platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic and text information belongs is the same as the integrated media platform community with the second platform community priority coefficient corresponding to the data source to which the target meteorological graphic and text information belongs, and the graphic processing perturbation confidence levels of the data sources to which the target meteorological graphic and text information belongs and the data sources to which the traversed meteorological graphic and text information belongs are not greater than the set confidence level. The graphic processing perturbation confidence level includes the cumulative value of the timeliness weights marked greater than the set weight in multiple integrated media product processing tasks that the target meteorological graphic and text information has participated in and multiple integrated media product processing tasks that the traversed meteorological graphic and text information has participated in during the previous specified period.

[0083] It is understandable that for the task of traversing the meteorological graphic and text information set to find the meteorological graphic and text information that meets the requirements of the third joint annotation optimization with the target meteorological graphic and text information, the graphic and text product processing system has adopted a more refined and comprehensive strategy. It not only considers the consistency of the media integration platform community corresponding to the data source to which the meteorological graphic and text information belongs, but also introduces the concept of the confidence level of graphic and text processing perturbation to ensure the stability and reliability of the selected meteorological graphic and text information.

[0084] Once again, the core content of the requirements of the third joint annotation optimization includes two aspects: First, the media integration platform community with the priority coefficient of the second platform community corresponding to the data source to which the traversed meteorological graphic and text information belongs must be the same as the media integration platform community with the priority coefficient of the second platform community corresponding to the data source to which the target meteorological graphic and text information belongs. This condition ensures that the influence of the selected meteorological graphic and text information in the media integration platform community is consistent with that of the target meteorological graphic and text information, thus enhancing the overall dissemination effect of the media integration product. Second, the confidence level of graphic and text processing perturbation of the data source to which the target meteorological graphic and text information belongs and the data source to which the traversed meteorological graphic and text information belongs is not greater than the set confidence level. The confidence level of graphic and text processing perturbation is a comprehensive index that reflects the performance stability of the data source in multiple media integration product processing tasks. Specifically, this index includes the cumulative value of the marked timeliness weight greater than the set weight in multiple media integration product processing tasks that the target meteorological graphic and text information has participated in and the multiple media integration product processing tasks that the traversed meteorological graphic and text information has participated in during the specified previous period. Through this index, the graphic and text product processing system can evaluate the timeliness performance of the data source in multiple processing tasks and then judge its stability.

[0085] After clarifying the requirements of the third joint annotation optimization, the graphic and text product processing system begins to traverse the initial meteorological graphic and text information set. For each piece of meteorological graphic and text information in the set, the graphic and text product processing system will check whether it meets the above two requirements. If it meets, then this piece of meteorological graphic and text information is considered to meet the requirements of the third joint annotation optimization with the target meteorological graphic and text information.

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

[0087] Next, the graphic and text product processing system focuses on analyzing the graphic and text processing perturbation confidence index. For each piece of meteorological graphic and text information traversed, the graphic and text product processing system calculates its graphic and text processing perturbation confidence with the target meteorological graphic and text information within the specified previous period. Specifically, the graphic and text product processing system counts the cumulative value of the timeliness weights marked in multiple media integration product processing tasks for the two pieces of meteorological graphic and text information that are greater than the set weight, and compares this cumulative value with the set confidence. If the cumulative value is not greater than the set confidence, then this piece of meteorological graphic and text information meets the requirements of the graphic and text processing perturbation confidence.

[0088] Through the above traversal strategy, the graphic and text product processing system can find the meteorological graphic and text information that meets the requirements of the third joint annotation optimization with the target meteorological graphic and text information in the initial meteorological graphic and text information set. These pieces of information not only have the same influence as the target meteorological graphic and text information in the media integration platform community, but also show stable timeliness in multiple media integration product processing tasks. They are of great significance for improving the overall quality and dissemination effect of media integration products.

[0089] In addition, this design idea fully considers the complexity and diversity of actual applications. In actual applications, data sources may come from different platforms and different institutions, and there may be differences in data quality, update frequency, timeliness, etc. between them. Therefore, when traversing the initial meteorological graphic and text information set, the graphic and text product processing system needs to comprehensively consider multiple factors to ensure the accuracy and reliability of the selected meteorological graphic and text information.

[0090] At the same time, this design idea also reflects an in-depth understanding of technical details and a profound understanding of business requirements. By introducing the concept of graphic and text processing perturbation confidence, the graphic and text product processing system can more accurately evaluate the performance of data sources in multiple media integration product processing tasks, thereby avoiding selecting those meteorological graphic and text information with unstable performance that may have a negative impact on media integration products.

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

[0092] In an alternative embodiment, the method further includes: based on the sum value of U and V being less than the set number of graphic and text information, traversing the initial meteorological graphic and text information set to find meteorological graphic and text information that meets the third joint annotation optimization requirements for the target meteorological graphic and text information, where the third joint annotation optimization requirements include that the media integration platform community with the second platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic and text information belongs is the same as the media integration platform community with the second platform community priority coefficient corresponding to the data source to which the target meteorological graphic and text information belongs, the first joint annotation optimization requirements include that the media integration platform community with the first platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic and text information belongs is the same as the media integration platform community with the first platform community priority coefficient corresponding to the data source to which the target meteorological graphic and text information belongs, and the community relationship involvement eigenvalue of the media integration platform community with the second platform community priority coefficient is greater than the community relationship involvement eigenvalue of the media integration platform community with the first platform community priority coefficient; based on the number of meteorological graphic and text information that meets the third joint annotation optimization requirements being P and P being not less than the meteorological graphic and text information threshold, determining the target meteorological graphic and text information set from the meteorological graphic and text 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 and text information, it introduces a more complex and refined screening and annotation mechanism.

[0094] First of all, under specific conditions, that is, when the sum value of variable U and variable V is less than the preset set number of graphic and text information, the method will initiate a specific traversal process. This process occurs in the initial meteorological graphic and text information set, aiming to find meteorological graphic and text information that meets a series of joint annotation optimization requirements for the target meteorological graphic and text information. The core of this step is to ensure that the selected meteorological graphic and text information is not only content-related to the target information, but also highly consistent in terms of communication effectiveness, community influence, etc. through a series of strict condition screening.

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

[0096] In addition, this method also takes into account the first joint annotation optimization requirement, that is, the media integration platform community with the first platform community priority coefficient corresponding to the data source to which the traversed meteorological graphic information belongs also needs to be consistent with the media integration platform community with the first platform community priority coefficient corresponding to the data source to which the target meteorological graphic information belongs. 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 is related to the dissemination effect of meteorological graphic information in a wider community.

[0097] It is worth noting that this method also introduces a comparison mechanism, that is, the eigenvalue of the community relationship involved in the media integration platform community with the second platform community priority coefficient must be greater than the eigenvalue of the community relationship involved in the media integration platform community with the first platform community priority coefficient. This mechanism ensures that meteorological graphic information with greater influence in the high-level community (the second platform) will be given priority, thus further improving the overall quality and dissemination effect of the selected meteorological graphic information.

[0098] During the traversal process, the meteorological graphic information that meets the above third joint annotation optimization requirements will be counted one by one, and the number is recorded as P. When P reaches or exceeds the preset meteorological graphic information threshold, the method will enter the next stage, that is, among all the meteorological graphic information that meets the third joint annotation optimization requirements, further screen and determine the target meteorological graphic information set.

[0099] The work in this stage is based on the comprehensive consideration of all the previous conditions, aiming to select the information set that best meets the characteristics of the target meteorological graphic information, has the most dissemination value and community influence from a large number of meteorological graphic information that meets the basic requirements. The determination of this set not only considers the accuracy and timeliness of the meteorological graphic information itself, but also fully considers its dissemination potential and influence in different media integration platform communities, thus ensuring that the finally selected meteorological graphic information set can maximize the satisfaction of business needs and dissemination goals.

[0100] Thus, by introducing complex joint annotation optimization requirements and a fine traversal and screening mechanism, the accuracy and efficiency in processing meteorological graphic information have been greatly improved. It not only ensures a high degree of consistency between the selected meteorological graphic information and the target information in terms of content, dissemination effectiveness, community influence, etc., but also further optimizes the overall quality and dissemination effect of the selected information through the comparison mechanism.

[0101] In practical applications, this embodiment can be widely applied to various scenarios that require precise screening and annotation of meteorological graphic information, such as weather forecasting, meteorological disaster warnings, climate change analysis, etc. Through this method, the most valuable and influential information can be quickly selected from a large amount of meteorological graphic information, providing more accurate and timely meteorological services for the public, and at the same time providing richer and higher-quality meteorological content resources for the media integration industry.

[0102] In some alternative embodiments, the method further includes: based on the sum of U, V, and P being less than the set number of graphic and text information, traversing in the initial meteorological graphic and text information set for meteorological graphic and text information that meets the fourth combined annotation optimization requirements with the target meteorological graphic and text information, where the fourth combined annotation optimization requirements include that the processing feedback description value of the traversed meteorological graphic and text information is in a set description feature quadrant, the set description feature quadrant is determined based on the processing feedback description value of the target meteorological graphic and text information, the set description feature quadrant includes the processing feedback description value of the target meteorological graphic and text information, the processing feedback description value of the traversed meteorological graphic and text information is a quality feature value determined based on the annotation optimization records of multiple media integration product processing tasks participated by the traversed meteorological graphic and text information, and the processing feedback description value of the target meteorological graphic and text information is a quality feature value determined based on the annotation optimization records of multiple media integration product processing tasks participated by the target meteorological graphic and text information; based on the number of meteorological graphic and text information that meets the fourth combined annotation optimization requirements being Q, and the sum of U, V, P, and Q being not less than the set number of graphic and text information, determining, from the meteorological graphic and text information that meets the first combined annotation optimization requirements, the meteorological graphic and text information that meets the second combined annotation optimization requirements, the meteorological graphic and text information that meets the third combined annotation optimization requirements, and the meteorological graphic and text information that meets the fourth combined annotation optimization requirements, a target meteorological graphic and text information set that jointly responds to the one media integration product processing task with the target meteorological graphic and text information, where 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.

[0103] It can be understood that based on this embodiment, the method further expands its applicable scope and functional depth. Especially when processing meteorological graphic and text information, a more complex and multi-dimensional screening and annotation mechanism is introduced.

[0104] First, under specific conditions, that is, when the sum of variable U, variable V, and variable P is less than the preset set number of graphic and text information, the method will initiate a specific traversal process. This process occurs in the initial meteorological graphic and text information set and aims to find meteorological graphic and text information that meets a series of combined annotation optimization requirements with the target meteorological graphic and text information. The core of this step is to ensure that the selected meteorological graphic and text information is not only content-related to the target information but also highly consistent with it in multiple aspects such as processing quality and feedback effect through a series of strict condition screenings.

[0105] Specifically, regarding the optimization requirements of the fourth combined annotation, it covers the processed feedback description values of meteorological graphic information. This means that for the meteorological graphic information encountered during the traversal process, its processed feedback description value must be within the set descriptive feature quadrant. This descriptive feature quadrant is determined based on the processed feedback description value of the target meteorological graphic information and includes the processed feedback description value of the target meteorological graphic information itself. This requirement ensures that the selected meteorological graphic information has similarity with the target information in terms of processing quality and feedback effect, thereby improving their applicability and effectiveness in the processing tasks of media integration products.

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

[0107] During the traversal process, the meteorological graphic information that meets the optimization requirements of the fourth combined annotation is counted one by one, and the number is denoted as Q. When the sum of U, V, P, and Q reaches or exceeds the preset number of graphic information settings, the method enters the next stage, that is, among all the meteorological graphic information that meets the optimization requirements of the first, second, third, and fourth combined annotations, further screen and determine the set of target meteorological graphic information that jointly responds to a media integration product processing task with the target meteorological graphic information.

[0108] The screening work at this stage is based on the comprehensive consideration of all the previous conditions, aiming to select the information set that best matches the characteristics of the target meteorological graphic information, has the greatest processing value and feedback effect from a large number of meteorological graphic information that meets the basic requirements. The determination of this set not only considers the accuracy and timeliness of the meteorological graphic information itself but also fully considers its applicability and effect in the media integration product processing task, thereby ensuring that the finally selected set of meteorological graphic information can maximize the satisfaction of business needs and communication goals.

[0109] Specifically, when determining the set of target meteorological graphic information, the method comprehensively considers the meteorological graphic information that meets the optimization requirements of the first, second, third, and fourth combined annotations traversed. These requirements involve multiple aspects such as the consistency of the media integration platform community to which the data source belongs and the similarity of the processed feedback description values, ensuring a high degree of consistency between the selected meteorological graphic information and the target information in multiple dimensions such as content, communication effectiveness, and processing quality.

[0110] Then, from all the meteorological graphic and text information that meets these requirements, a set of meteorological graphic and text information with the number equal to the preset number of graphic and text information settings is selected as the target set of meteorological graphic and text information for jointly responding to a media integration product processing task with the target meteorological graphic and text information. The determination of this set not only ensures the quantity and quality of the selected meteorological graphic and text information, but also fully considers their actual application effects and communication values in the media integration product processing task.

[0111] In this way, by introducing complex joint annotation optimization requirements and a fine traversal and screening mechanism, the accuracy and efficiency in processing meteorological graphic and text information are greatly improved. It not only ensures a high degree of consistency between the selected meteorological graphic and text information and the target information in terms of content, communication effectiveness, processing quality, etc., but also further optimizes the overall quality and application effects of the selected information through a multi-dimensional comparison mechanism.

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

[0113] Based on this embodiment, it is elaborated in detail how to traverse the meteorological graphic and text information that meets the requirements of the fourth joint annotation optimization in the initial meteorological graphic and text information set. This process involves considerations in multiple dimensions, aiming to ensure that the selected meteorological graphic and text information is not only relevant to the target information in terms of content, but also highly consistent with it in terms of dissemination effectiveness, processing quality, timeliness, and other aspects.

[0114] First of all, the traversal process occurs in the initial meteorological graphic and text information set, which is a database or data set containing a large amount of meteorological graphic and text information. The purpose of the traversal is to find the meteorological graphic and text information that matches the target meteorological graphic and text information under specific conditions. These specific conditions constitute the requirements of the fourth joint annotation optimization, which are multi-dimensional and include the range of processing feedback description values, the characteristics of the meteorological service interaction end to which the data source belongs, and the consideration of the global timeliness weight.

[0115] Specifically, the requirements of the fourth joint annotation optimization include two main aspects. One is that the processing feedback description value of the traversed meteorological graphic and text information must be within the set description feature quadrant. This requirement ensures that the selected meteorological graphic and text information is similar to the target information in terms of processing quality and feedback effect. The processing feedback description value is a quality characteristic value determined based on the annotation optimization records of multiple media integration product processing tasks that the meteorological graphic and text information has participated in, and it reflects the performance and user feedback of the meteorological graphic and text information during the processing process. The other is that the global timeliness weight between the data source to which the traversed meteorological graphic and text information belongs and a certain meteorological service interaction end in the first meteorological service interaction end set must be the largest. This requirement ensures that the selected meteorological graphic and text information has an advantage in timeliness and can be disseminated faster and have an impact. The first meteorological service interaction end set includes the meteorological service interaction end authorized for interaction authentication by the data source to which the target meteorological graphic and text information belongs, or includes the associated interaction end between the meteorological service interaction end authorized for interaction authentication by the data source to which the target meteorological graphic and text information belongs and the second meteorological service interaction end set. The second meteorological service interaction end set includes the meteorological service interaction ends authorized for interaction authentication by the data sources involved in the meteorological graphic and text information other than the target meteorological graphic and text information in the initial meteorological graphic and text information set. The requirements of these two aspects together constitute the requirements of the fourth joint annotation optimization, which ensure that the traversed meteorological graphic and text information is highly consistent with the target meteorological graphic and text information in terms of content, processing quality, feedback effect, and timeliness.

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

[0117] Regardless of which traversal method is used, the ultimate goal is to find those meteorological graphic information in the initial meteorological graphic information set that is highly consistent with the target meteorological graphic information in terms of content, processing quality, feedback effect, timeliness, and other aspects. The found meteorological graphic information will be used as a candidate set to further participate in the subsequent screening and annotation processes to finally determine the set of target meteorological graphic information that jointly responds to a media integration product processing task with the target meteorological graphic information.

[0118] In this way, it undoubtedly improves the dissemination effectiveness and community influence of meteorological information. Through precise screening and annotation, it can ensure that the selected meteorological graphic information is not only accurate and timely but also can achieve the best dissemination effect in media integration products. This is of great significance for enhancing the public's meteorological awareness, improving the dissemination effect of meteorological information, and promoting the development of the media integration industry.

[0119] In practical applications, this method can be widely applied to various scenarios that require precise screening and annotation of meteorological graphic information. For example, in the fields of weather forecasting, meteorological disaster warnings, climate change analysis, etc., it can help meteorological departments quickly select the most valuable and influential information from a large amount of meteorological graphic information and provide more accurate and timely meteorological services to the public. At the same time, it can also provide richer and higher-quality meteorological content resources for the media integration industry and promote the innovation and development of media integration products.

[0120] In some independent embodiments, traversing the meteorological graphic information in the initial meteorological graphic information set that meets the second joint annotation optimization requirement with the target meteorological graphic information includes: determining, in the stored meteorological service interaction report, the meteorological service interaction end in the first service state of the authorization interaction authentication issued by the data source to which the target meteorological graphic information belongs as the target meteorological service interaction end, where the meteorological service interaction report records the meteorological service interaction ends in the first service state of the authorization interaction authentication issued by the data sources to which the respective meteorological graphic information in the initial meteorological graphic information set belongs; and traversing, in the meteorological service interaction report, the meteorological graphic information whose meteorological service interaction end in the first service state is the target meteorological service interaction end.

[0121] It can be understood that this embodiment aims to traverse and screen out meteorological graphic and text information that meets the requirements of the second joint annotation optimization from the initial set of meteorological graphic and text information. This process involves multiple key steps and considerations to ensure that the finally screened meteorological graphic 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 the stored meteorological service interaction report to determine the meteorological service interaction end of the first service state of the data source issuing authorization interaction authentication to which the target meteorological graphic and text information belongs. This interaction end is called the target meteorological service interaction end. The meteorological service interaction report is an important data source that records the meteorological service interaction ends of the first service state of the data source issuing authorization interaction authentication to which each meteorological graphic and text information in the initial set of meteorological graphic and text information belongs. This report provides the necessary basic data for the subsequent traversal and screening process.

[0123] Secondly, after determining the target meteorological service interaction end, further traverse in the meteorological service interaction report the meteorological graphic and text information whose first service state of the meteorological service interaction end is the target meteorological service interaction end. This step is crucial in the traversal process as it ensures that only the meteorological graphic and text information associated with the target meteorological service interaction end will be considered in the subsequent screening and annotation processes.

[0124] Then, to illustrate this process in more detail, the graphic and text product processing system can be further elaborated. Each record in the meteorological service interaction report corresponds to a meteorological graphic and text information and the meteorological service interaction end of the first service state of the data source issuing authorization interaction authentication to which this information belongs. When traversing this report, the system checks whether the meteorological service interaction end in each record matches the target meteorological service interaction end. If it matches, then the meteorological graphic and text information corresponding to this record will be considered to meet the preliminary screening criteria.

[0125] In this process, the requirements of the second joint annotation optimization play an important guiding role. These requirements may include multiple aspects of considerations, such as the timeliness, accuracy, integrity of the meteorological graphic and text information, and the relevance in terms of theme, region, time, etc. with the target meteorological graphic and text information. Only those meteorological graphic and text information that perform well in these aspects will be considered to truly meet the requirements of the second joint annotation optimization.

[0126] To achieve this goal, a series of complex algorithms and models can be adopted to evaluate the meteorological graphic information corresponding to each record. These algorithms and models can consider various factors, such as the release time, source, content quality, user feedback, etc. of the meteorological graphic information. By comprehensively considering these factors, the system can more accurately judge which meteorological graphic information is truly valuable and worthy of further consideration and annotation.

[0127] In addition, this embodiment can also include some additional optimization measures to improve the efficiency of traversal and screening. For example, the system can adopt technologies such as parallel processing or distributed computing to accelerate the traversal process, or utilize caching and indexing mechanisms to reduce unnecessary calculations and data accesses. These optimization measures can significantly improve the performance of the system, enabling the traversal and screening process to be completed in a shorter time.

[0128] In this way, by utilizing the meteorological service interaction report and a series of complex algorithms and models, the goal of traversing and screening out the meteorological graphic information that meets the second joint annotation optimization requirements with the target meteorological graphic information from the initial meteorological graphic information set is achieved. This process not only considers the quality and value of the meteorological graphic information itself, but also fully considers their relevance and similarity with the target meteorological graphic information in multiple dimensions. Through the application of this method, the graphic product processing system can more effectively manage and utilize a large amount of meteorological graphic information, providing more accurate, timely, and valuable meteorological services to the public.

[0129] In some other independently implementable embodiments, traversing the meteorological graphic information that meets the second joint annotation optimization requirements with the target meteorological graphic information in the initial meteorological graphic information set includes: obtaining the timeliness weights between each data source to which the meteorological graphic information in the initial meteorological graphic information set belongs and each meteorological service interaction end with open interaction permissions, obtaining Y groups of timeliness weights, where 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 in each group of timeliness weights in the Y groups of timeliness weights, obtaining Y maximum timeliness weights, and determining the meteorological service interaction end corresponding to the Y maximum timeliness weights as the meteorological service interaction end in the first service state corresponding to the Y meteorological graphic information; on the basis of determining that the meteorological service interaction end in the first service state that issues the authorization interaction authentication for the data source to which the target meteorological graphic information belongs is the target meteorological service interaction end, traversing the meteorological graphic information in the Y meteorological graphic information other than the target meteorological graphic information whose meteorological service interaction end in the first service state is the target meteorological service interaction end.

[0130] It can be understood that the core of this embodiment lies in how to effectively traverse the initial meteorological graphic information set and find the meteorological graphic information that meets the requirements of the second joint annotation optimization with the target meteorological graphic information. This process involves the calculation and comparison of timeliness weights and the determination of the meteorological service interaction end based on these weights. The ultimate goal is to screen out the meteorological graphic information that matches the target meteorological service interaction end.

[0131] First of all, the starting point of this embodiment is to obtain the timeliness weights between the data sources to which each meteorological graphic information in the initial meteorological graphic information set belongs and each meteorological service interaction end with open interaction permissions. This is a complex but crucial process because the timeliness weight reflects the speed and efficiency of information dissemination between the data source and the meteorological service interaction end. 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 in each of the Y groups of timeliness weights. The purpose of this step is to find out between which meteorological service interaction end and the data source corresponding to each meteorological graphic information the information dissemination speed is the fastest and the efficiency is the highest. By comparing the timeliness weights within each group, the graphic product processing system can obtain Y maximum timeliness weights, which respectively correspond to Y meteorological graphic information.

[0133] Immediately afterwards, the graphic product processing system determines the meteorological service interaction ends corresponding to these Y maximum timeliness weights as the meteorological service interaction ends in the first service state corresponding to Y meteorological graphic information. The "first service state" in the present invention is a specific service level or state, which may represent the advantages and priorities of the meteorological service interaction end in aspects such as information dissemination, data sharing, and user interaction. Through this step, the graphic product processing system finds a meteorological service interaction end with the most advantages in information dissemination for each meteorological graphic information.

[0134] So far, the graphic product processing system has assigned a meteorological service interaction end in the first service state to each meteorological graphic information. Next, on the basis of determining that the meteorological service interaction end in the first service state that issues the authorization interaction authentication for the data source to which the target meteorological graphic information belongs is the target meteorological service interaction end, the graphic product processing system needs to perform further traversal and screening. The target meteorological service interaction end is a specific meteorological service interaction end, which plays a key role in the dissemination and sharing of the target meteorological graphic information.

[0135] After determining the target meteorological service interaction end, the graphic and text product processing system begins to traverse the Y meteorological graphic and text information (excluding the target meteorological graphic and text information) to find the meteorological graphic and text information whose meteorological service interaction end in the first service state matches the target meteorological service interaction end. This step is the core of the traversal process, which ensures that only those meteorological graphic and text information that have the same advantages as the target meteorological service interaction end in information dissemination will be considered in the subsequent screening and annotation processes.

[0136] For example, the initial meteorological graphic and text information set is a large database that stores meteorological graphic and text information from different data sources. Each data source has interaction permissions with multiple meteorological service interaction ends, but there are differences in the speed and efficiency of information dissemination among these interaction ends. By calculating the timeliness weight, the graphic and text product processing system can find out which meteorological service interaction end has the fastest information dissemination with each data source. Then, the graphic and text product processing system assigns a meteorological service interaction end in the first service state to each meteorological graphic and text information, and this interaction end has the greatest advantage in information dissemination.

[0137] Now, the graphic and text product processing system already knows which meteorological service interaction end in the first service state for the data source to which the target meteorological graphic and text information belongs issues the authorization interaction authentication (i.e., the target meteorological service interaction end). Next, the graphic and text product processing system needs to find those information that also match this target meteorological service interaction end among the remaining meteorological graphic and text information. These information have the same advantages as the target meteorological graphic and text information in information dissemination, so they may become meteorological graphic and text information that meets the requirements of the second joint annotation optimization with the target meteorological graphic and text information.

[0138] To achieve this goal, the graphic and text product processing system can adopt a series of complex algorithms and models to evaluate the matching degree of each meteorological graphic and text information with the target meteorological service interaction end. These algorithms and models can consider various factors, such as the timeliness, accuracy, integrity of the meteorological graphic and text information, and the relevance in terms of theme, region, time, etc. with the target meteorological graphic and text information. By comprehensively considering these factors, the system can more accurately judge which meteorological graphic and text information is truly valuable and worthy of further consideration and annotation.

[0139] In addition, the graphic and text product processing system can also improve the efficiency of traversal and screening based on some additional optimization measures. For example, the graphic and text product processing system can adopt technologies such as parallel processing or distributed computing to accelerate the traversal process, or use cache and index mechanisms to reduce unnecessary calculations and data access. These optimization measures can significantly improve the performance of the system, enabling the traversal and screening processes to be completed in a shorter time.

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

[0141] Furthermore, Figure 2 is a schematic structural diagram of a graphic product processing system 200 provided by an embodiment of the present invention. As Figure 2 shown, the graphic product processing system 200 includes a processor 210, and the processor 210 can call and run a computer program from a memory to implement the method in the embodiment of the present invention.

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

[0143] Among them, the memory 230 can be an independent device from the processor 210, or can be integrated in the processor 210.

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

[0145] Optionally, the graphic product processing system 200 can implement the corresponding processes of the storage engine or components in the storage engine (such as processing modules) or the devices deployed with the storage engine in each method of the embodiment of the present invention. For the sake of simplicity, it will not be elaborated 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 can be understood that the memory in the embodiment 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 system and method described herein is intended to include, but is not limited to, suitable types of memories.

[0148] Based on the above, a readable storage medium is provided. A program or instructions are stored on the readable storage medium, and when the program or instructions are executed by a processor, the steps of the above method are implemented.

[0149] It should be noted that in this article, the terms "including", "comprising" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without more limitations, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including that 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 reverse order according to the functions involved. For example, the described method may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, 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-described example method can be implemented by means of software plus a necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is a better implementation. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions for causing a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0151] The embodiments of the present invention have been described above in conjunction with the accompanying drawings. However, the present invention is not limited to the above specific embodiments. The above specific embodiments are merely illustrative and not restrictive. Under the inspiration of the present invention, those of ordinary skill in the art can also make many forms without departing from the purpose of the present invention and the scope protected by the present invention, and all belong to the protection scope of the present invention.

Claims

1. A method for processing graphic products for integrated media meteorological services, characterized in that: The method is implemented by a graphic product processing system, and the method comprises: Traversing meteorological graphic information that meets the 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-time integrated media product processing task, and 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 authorization 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 authorization 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 authorization 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 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 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, characterized in that The step of determining a target meteorological graphic information set that jointly responds to the one integrated media product processing task with the target meteorological graphic information from the traversed meteorological graphic information that meets the first joint annotation optimization requirement and the meteorological graphic information that meets the second joint annotation optimization requirement 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, characterized in that The step of determining a target meteorological graphic information set that jointly responds to the one integrated media product processing task with the target meteorological graphic information from the traversed meteorological graphic information that meets the first joint annotation optimization requirement and the meteorological graphic information that meets the second joint annotation optimization requirement 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 selected 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 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, characterized in that The method further comprises: On the basis that the sum of U and V is less than the set number of the 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, 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 traversed 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 traversed 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, characterized in that The 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 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 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 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 sets, the second meteorological service interaction terminal set includes the meteorological service interaction terminal that issues the authorized interaction authentication from 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 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 with 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 with 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 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, characterized in that The 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 includes: 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 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, characterized in that The method further comprises: On the basis that the sum of U and V is less than the set number of the 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, 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 has been traversed and 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 traversed meteorological graphic information that meets the third joint labeling optimization requirement.

8. The method according to claim 4, characterized in that 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 a 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 traversed 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, a 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, 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, characterized in that The traversing the meteorological graphic information that meets the fourth joint annotation optimization requirement with the target meteorological graphic information in the initial meteorological graphic information set includes: 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, 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 involved in the meteorological graphic information other than the target meteorological graphic information in the initial meteorological graphic information set; Or traverse the meteorological graphic information that meets the fourth joint annotation optimization requirement in the initial meteorological graphic information set and 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 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.

Images