Intelligent examination and approval platform for administrative affairs

Abstract

The application relates to the technical field of data processing, in particular to an intelligent examination and approval platform for administrative affairs, which comprises an acquisition module, a judgment module, a first determination module, a second determination module, a sorting module, a pre-examination module, an adjustment module and an examination and approval module. Through a multi-level screening mechanism, the application can accurately identify application materials meeting specific conditions, gradually narrow the range and determine priority materials with high task complexity; on this basis, the priority materials are sorted according to preset accessory weights and preset project weights, so that the materials with high complexity and high importance are preferentially processed, and the weights are dynamically adjusted according to the pre-examination time, so that the sorting result is further optimized; the efficiency and accuracy of the examination and approval process are effectively improved, the reasonable allocation of examination and approval resources is ensured, unnecessary waiting and delay are reduced, and the problem of low efficiency caused by the complicated manual examination process and unreasonable resource allocation is effectively solved.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to an intelligent approval platform for administrative affairs. Background Technology

[0002] With the rapid development of information technology, the digital transformation of government services has become an important way to improve the efficiency of government services and optimize the business environment. As a core component of government services, administrative approval is inevitably subject to intelligent reform. Traditional approval models face problems such as cumbersome processes, low efficiency, and interference from human factors, making it difficult to meet the needs of businesses and the public for efficient and convenient services. Therefore, utilizing modern information technologies such as big data, artificial intelligence, and cloud computing to build intelligent approval platforms and achieve automation, intelligence, and efficiency in the approval process has become an important direction for government service reform.

[0003] In the field of smart government, with the rapid development of emerging technologies such as big data, artificial intelligence, and the internet, the intelligent transformation of government services has become an important direction for improving administrative efficiency and service quality. Currently, the technological foundation for intelligent approval mainly includes optical character recognition, natural language processing, machine learning, and big data analytics. These technologies enable automatic parsing, information extraction, intelligent verification, and structured processing of approval materials, thereby reducing manual intervention and improving approval efficiency and accuracy.

[0004] Therefore, the following problems exist with smart government technology: While the level of intelligence in government services has improved, some systems still rely on manual review, leading to low approval efficiency; bottlenecks exist in data sharing and collaborative work, with data silos between departments remaining prominent, affecting the efficiency of cross-departmental collaboration; regarding user experience, current evaluation mechanisms are mostly limited tests in laboratory environments, lacking comprehensive analysis of actual user operations, resulting in a disconnect between user experience and evaluation results; furthermore, although artificial intelligence technology has been widely applied in government services, it still faces challenges in algorithm security and data security. Meanwhile, the application of existing technologies in intelligent approval and intelligent guidance is not yet mature, and some systems still suffer from inefficiency when handling complex tasks. Summary of the Invention

[0005] To address this, the present invention provides an intelligent approval platform for administrative affairs, which overcomes the inefficiencies caused by cumbersome manual review processes and unreasonable resource allocation in existing technologies through full-process automation and intelligent design and dynamic weight adjustment.

[0006] To achieve the above objectives, the present invention provides an intelligent approval platform for administrative affairs, comprising:

[0007] The data collection module is used to collect data in real time on the time taken to fill out the application form, the number of attachments, the upload time, and the number of projects in a specific industry for each application material in the user's application materials database.

[0008] The determination module, which is connected to the acquisition module, is used to determine a number of first temporary materials based on the filling time and a preset filling time threshold.

[0009] A first determining module is connected to the acquisition module and the determination module respectively, and is used to determine a number of second temporary materials based on the number of attachments of each first temporary material and the upload duration;

[0010] The second determining module is connected to the acquisition module and the first determining module respectively, and is used to determine a number of priority materials based on the number of attachments and the number of items of each of the second temporary materials;

[0011] The sorting module is connected to the acquisition module and the second determination module respectively, and is used to sort each priority material according to the number of attachments, the number of items, the preset attachment weight and the preset item weight to form a material order;

[0012] The pre-review module is connected to the second determination module and the sorting module respectively, and is used to review each priority material determined based on the material order within a preset pre-review time, and record the pre-review time of each priority material to form a number of pre-review times;

[0013] An adjustment module, which is connected to the sorting module and the pre-review module respectively, is used to adjust the preset attachment weight and the preset item weight according to the pre-review time and the order of the materials, thereby forming adjusted attachment weight and adjusted item weight;

[0014] An approval module, which is connected to the sorting module and the adjustment module respectively, is used to approve the materials according to the order of the materials determined based on the weight of the whole attachment and the weight of the adjustment item, and form an approval result.

[0015] Furthermore, the determination module includes:

[0016] A comparison unit is used to compare the filling time with the preset filling time threshold to form a filling comparison result;

[0017] A determination unit, connected to the filling comparison unit, is used to determine that the application material is a first temporary material when the filling comparison result is that the filling time is less than the preset filling time threshold, and to form a plurality of first temporary materials.

[0018] Furthermore, the first determining module includes:

[0019] An upload speed calculation unit is used to calculate the ratio of the upload time of each of the first temporary materials to the number of attachments, thereby forming several upload speeds;

[0020] The first determining unit is connected to the upload speed calculation unit and is used to determine a number of second temporary materials based on each upload speed and a preset speed range.

[0021] Further, the first determining unit includes:

[0022] The speed sorting subunit is used to sort the upload speeds from fastest to slowest to form an upload speed order list;

[0023] The first determining subunit, which is connected to the speed sorting subunit, is used to filter the upload speed within the preset speed range from the upload speed order list, and determine the first temporary material as the second temporary material according to the filtered upload speed, thereby forming a plurality of second temporary materials.

[0024] Furthermore, the second determining module includes:

[0025] The attachment curve plotting unit is used to plot the change curve of the number of attachments of all the second temporary materials, forming the attachment curve;

[0026] The project curve plotting unit is used to plot the change curve of the total quantity of all the second temporary materials, forming a project curve;

[0027] The complexity determination unit is connected to the attachment curve drawing unit and the project curve drawing unit respectively, and is used to determine the high task complexity based on the attachment curve and the project curve to form several priority materials.

[0028] Furthermore, the complexity determination unit includes:

[0029] The synchronization calculation subunit is used to calculate the correlation coefficient between the attachment curve and the project curve to form the change synchronization degree;

[0030] The complexity determination subunit, which is connected to the synchronization calculation subunit, is used to determine the second temporary material as having high task complexity when the change in synchronization is greater than the preset synchronization threshold, thereby forming several priority materials.

[0031] Furthermore, the sorting module includes:

[0032] The normalization unit is used to normalize the number of each of the attachments of the priority material to form a standard number of attachments, and to normalize the number of each of the items of the priority material to form a standard number of items.

[0033] A priority sorting unit, connected to the normalization unit, is used to sort each priority material according to the number of standard attachments, the number of standard items, the preset attachment weights, and the preset item weights to form a material order.

[0034] Further, the sorting unit includes:

[0035] The priority index calculation unit is used to perform a weighted summation of the number of standard attachments, the number of standard items, the preset attachment weights, and the preset item weights to form a priority index.

[0036] A priority sorting subunit, which is connected to the priority index calculation unit, is used to sort each priority material from low to high according to the priority index to form a material order.

[0037] Furthermore, the adjustment module includes:

[0038] The pre-examination curve plotting unit is used to plot the change curve of the pre-examination time for all the priority materials, forming a pre-examination change curve;

[0039] An exponential curve plotting unit is used to plot the change curves of the priority index for all the priority materials, forming an exponential change curve;

[0040] An adjustment unit, which is connected to the pre-approval curve plotting unit and the exponential curve plotting unit respectively, is used to adjust the preset attachment weights and the preset item weights according to the pre-approval change curve and the exponential change curve, thereby forming adjusted attachment weights and adjusted item weights.

[0041] Furthermore, the adjustment unit includes:

[0042] The consistency calculation subunit is used to calculate the cosine similarity between the pre-approval change curve and the exponential change curve to form the change consistency.

[0043] An adjustment subunit, connected to the consistency calculation subunit, is used to determine that a preset attachment weight needs to be adjusted when the change in consistency is less than a preset consistency threshold, and to calculate the relative deviation between the change in consistency and the preset consistency threshold to form a consistency deviation. The preset attachment weight and the preset item weight are adjusted according to the consistency deviation and a preset adjustment coefficient to form an adjusted attachment weight and an adjusted item weight.

[0044] Compared with existing technologies, the beneficial effects of this invention are that, through a multi-level screening mechanism, it can accurately identify application materials that meet specific conditions, gradually narrow down the scope, and determine priority materials with high task complexity. On this basis, priority materials are sorted according to preset attachment weights and preset project weights to ensure that materials with high complexity and importance are processed first. At the same time, the weights are dynamically adjusted according to the pre-review time to further optimize the sorting results. This effectively improves the efficiency and accuracy of the approval process, ensures the reasonable allocation of approval resources, reduces unnecessary waiting and delays, and thus significantly improves the overall approval efficiency, effectively solving the problem of low efficiency caused by cumbersome manual review processes and unreasonable resource allocation.

[0045] Furthermore, by comparing the time taken to fill out the application form with a preset time threshold, applications with abnormally short completion times can be quickly identified, initially filtering out potentially problematic or improperly completed applications. This effectively improves the entry quality of the approval process. It not only reduces time wasted in subsequent approval stages due to material issues but also optimizes the allocation of approval resources, ensuring that subsequent processes can more efficiently handle application materials that meet basic requirements, significantly improving the efficiency and accuracy of the entire approval process.

[0046] Furthermore, by calculating the upload speed and filtering materials according to the preset speed range, the system can accurately identify the first temporary materials whose upload efficiency meets the standard and designate them as the second temporary materials. This effectively eliminates materials whose upload speed is too slow due to network problems or file abnormalities, reduces approval delays that may be caused by low upload efficiency, and further optimizes the entry quality of the approval process.

[0047] Furthermore, by sorting the upload speed by a list and filtering based on a preset speed range, application materials with high upload efficiency can be accurately identified and designated as secondary temporary materials. This effectively eliminates materials with slow upload speeds due to network issues or file abnormalities, reducing approval delays that may be caused by low upload efficiency. It ensures that materials entering subsequent approval stages meet the upload efficiency requirements, further optimizing the entry quality of the approval process, improving approval efficiency, and guaranteeing the smooth progress of the approval process.

[0048] Furthermore, by plotting the change curves of the number of attachments and the number of projects and determining the priority materials with high task complexity, the complexity of each application material can be assessed intuitively and scientifically. This effectively identifies tasks with high complexity and prioritizes their processing, ensuring that approval resources are allocated reasonably and complex tasks receive timely attention. As a result, the efficiency and accuracy of the approval process are significantly improved, and the overall approval effect is optimized.

[0049] Furthermore, by working together with the synchronization calculation subunit and the complexity determination subunit, materials with high task complexity can be accurately identified and prioritized. This not only improves the targeting and efficiency of task processing and avoids indiscriminate processing of all materials, but also effectively optimizes resource allocation, ensuring that complex tasks receive priority attention and resolution, thereby improving overall work quality and system reliability.

[0050] Furthermore, through normalization and sorting operations, the number of attachments and items for priority materials is standardized and comprehensively evaluated to form a scientifically reasonable material order. This eliminates interference caused by data discrepancies, ensures the comparability of different materials under a unified standard, and accurately sorts materials according to preset weights, improving the scientific and rational nature of resource allocation and task assignment. This not only enhances the transparency and operability of decision-making but also effectively improves overall work efficiency and system stability, providing strong support for the efficient management of complex tasks.

[0051] Furthermore, by calculating the priority index through weighted summation and ranking, multiple factors such as the number of standard attachments, the number of standard items, the preset attachment weights, and the preset item weights can be comprehensively considered to fully assess the importance of each priority material. The ranking method based on quantitative analysis not only ensures the scientific and objective nature of the material order but also improves the accuracy of resource allocation and task processing, enabling limited resources to be prioritized for processing more important materials. This, in turn, enhances overall work efficiency and the reliability of decision-making, providing strong support for efficient management and optimized task execution.

[0052] Furthermore, by plotting curves showing the changes in pre-review time and priority index, and adjusting the preset attachment weights and preset project weights accordingly, the dynamic changes of priority materials during the pre-review process can be intuitively reflected. This allows for the timely identification and optimization of any unreasonable settings in the preset attachment and project weights. The preset attachment and project weights become more aligned with actual needs, further improving the accuracy and adaptability of priority ranking. This ensures that limited resources are allocated more precisely to key materials, thereby enhancing the overall efficiency and quality of the pre-review process and strengthening the system's flexibility and adaptability.

[0053] Furthermore, by calculating the cosine similarity between the pre-review change curve and the exponential change curve to form the change consistency degree, the degree of matching between the two can be quantified, thereby accurately assessing the rationality of the preset attachment weights and preset project weights. When the change consistency degree is lower than the preset threshold, it indicates that the pre-review change curve and the exponential change curve are not similar enough in shape, that is, their change trends are not well matched. This means that the current preset weights fail to accurately reflect the actual relationship between priority materials in pre-review time and priority index, resulting in unreasonable weight allocation. Therefore, further calculating the consistency degree deviation and combining it with the adjustment coefficient to optimize the weight reorganization can effectively correct the weight deviation and ensure that the change trends of pre-review time and priority index remain highly consistent. This not only improves the scientificity and accuracy of the pre-review process, but also enhances the adaptability and stability of the system, providing a strong guarantee for optimizing resource allocation and improving pre-review efficiency, and further improving the overall quality and efficiency of the work. Attached Figure Description

[0054] Figure 1 This is a schematic diagram of the intelligent approval platform for administrative affairs in this embodiment;

[0055] Figure 2 This is a logic diagram for determining the first temporary material in the determination module of this embodiment;

[0056] Figure 3 This is a logic diagram for determining high task complexity in the complexity determination unit of this embodiment;

[0057] Figure 4 This embodiment shows the logic diagram for determining whether the preset attachment weights need to be adjusted by the adjustment unit. Detailed Implementation

[0058] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0059] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0060] Please see Figure 1 As shown, it is a schematic diagram of the intelligent approval platform for administrative affairs in this embodiment;

[0061] This embodiment provides an intelligent approval platform for administrative affairs, including:

[0062] The data collection module is used to collect data in real time on the time taken to fill out the application form, the number of attachments, the upload time, and the number of projects in a specific industry for each application material in the user's application materials database.

[0063] The determination module, which is connected to the acquisition module, is used to determine a number of first temporary materials based on the filling time and a preset filling time threshold.

[0064] A first determining module is connected to the acquisition module and the determination module respectively, and is used to determine a number of second temporary materials based on the number of attachments of each first temporary material and the upload duration;

[0065] The second determining module is connected to the acquisition module and the first determining module respectively, and is used to determine a number of priority materials based on the number of attachments and the number of items of each of the second temporary materials;

[0066] The sorting module is connected to the acquisition module and the second determination module respectively, and is used to sort each priority material according to the number of attachments, the number of items, the preset attachment weight and the preset item weight to form a material order;

[0067] The pre-review module is connected to the second determination module and the sorting module respectively, and is used to review each priority material determined based on the material order within a preset pre-review time, and record the pre-review time of each priority material to form a number of pre-review times;

[0068] An adjustment module, which is connected to the sorting module and the pre-review module respectively, is used to adjust the preset attachment weight and the preset item weight according to the pre-review time and the order of the materials, thereby forming adjusted attachment weight and adjusted item weight;

[0069] An approval module, which is connected to the sorting module and the adjustment module respectively, is used to approve the materials according to the order of the materials determined based on the weight of the whole attachment and the weight of the adjustment item, and form an approval result.

[0070] The user application material database mentioned in this embodiment refers to a system used to collect, store, and manage application materials. It is typically established and maintained by government agencies, enterprises, institutions, or other organizations to facilitate the submission of application materials, expedite the review process, and improve work efficiency. Application material data can be collected through online application systems, spreadsheets, interface integration, etc., and stored in the database. This data can be collected by setting triggers, logging, or periodic scanning within the database, and then transmitted to an analysis system for further processing and analysis, thereby providing data support for optimizing processing procedures and improving approval efficiency.

[0071] Application materials refer to the various documents and information that an applicant needs to submit when applying for a service, position, or project, including but not limited to application forms, resumes, transcripts, letters of recommendation, project proposals, and budget sheets. Application materials are collected through the application system and digitally stored in the application materials database.

[0072] Application form completion time refers to the time an applicant spends filling out the application form. In the intelligent approval platform, the intelligent form-filling function at the application end automatically records the total time from when the applicant begins filling out the form to when they submit it, thus achieving real-time data collection of completion time.

[0073] The number of attachments refers to the number of supporting documents uploaded by the applicant when submitting the application materials. On the application platform, the system automatically counts and records the number of uploaded attachments.

[0074] Upload time refers to the time spent by the applicant uploading attachments. Through the application portal of the intelligent approval platform, the system records the time from the start of the upload to its completion for each attachment, and summarizes it into a total upload time.

[0075] The number of projects in a specific industry refers to the number of projects in a specific industry mentioned in the application materials. This is used to assess the industry relevance and complexity of the application materials. The intelligent approval platform automatically identifies fields or tags in the application system and counts the number of projects in a specific industry through preset industry classification rules.

[0076] The preset filling time threshold is a time standard set to determine whether the filling time of application materials meets expectations. It depends on the complexity of the business process, the applicant's familiarity with the process, and the ease of system operation, and is usually set between 10 and 30 minutes. In this embodiment, it is set to 20 minutes, which can effectively filter out application materials that may have problems, while ensuring that most applicants have a reasonable filling time, thereby improving approval efficiency and accuracy.

[0077] The preset attachment weight refers to the weight given to the number of attachments during the sorting process to comprehensively evaluate the priority of priority materials. It depends on business needs, the complexity of the approval process, and the analysis results of historical data, and is typically set between 0.3 and 0.7. In this embodiment, it is set to 0.6, which effectively reflects the importance of the number of attachments in the approval complexity, while also taking into account the impact of the number of projects, ensuring a more reasonable sorting result, prioritizing materials with higher complexity, and improving approval efficiency and quality.

[0078] The preset project weight refers to the weight given to the number of projects during the sorting process to comprehensively evaluate the priority of priority materials. It depends on business needs, the complexity of the approval process, and the analysis results of historical data, and is usually set between 0.3 and 0.7. In this embodiment, it is set to 0.4, which can effectively reflect the importance of the number of projects in the approval complexity, while also taking into account the impact of the number of attachments, ensuring that the sorting results are more reasonable, prioritizing the processing of more complex materials, and improving approval efficiency and quality.

[0079] The preset pre-review duration refers to the time period used for pre-reviewing priority materials. It depends on the complexity of the approval process, business needs, and historical approval data, and is usually set between 10 and 30 minutes. In this embodiment, it is set to 20 minutes, which can effectively improve approval efficiency while ensuring approval quality, and ensure the efficiency and smoothness of the entire approval process.

[0080] The approval module utilizes IOC technology for identification and AI approval technology throughout the entire process, achieving a precise and efficient approval process. Combined with the intelligent guidance system, it can complete the approval and processing of simple matters in seconds, greatly improving approval efficiency and user experience.

[0081] 1. IOC technology identification

[0082] At the forefront of the approval process, IOC (Indicator of Content) technology plays a crucial role. It can quickly identify key content and points of interest in the application materials. By conducting in-depth analysis of keywords, semantic structure, and contextual information in the materials, the system can quickly locate important information, accurately identify the core content of the application materials, and thus quickly screen out materials that meet the requirements, laying the foundation for subsequent approval stages and effectively improving review efficiency.

[0083] 2. AI Pre-screening

[0084] In the preliminary review stage, the AI-powered pre-review function utilizes OCR recognition and natural language processing technology to automatically parse and understand the application materials submitted by users. It can accurately identify key information, discover potential risk points, and perform preliminary verification of the materials. This process significantly reduces the time and effort required for manual review, substantially improves approval efficiency, and ensures the quality of materials advancing to the next stage.

[0085] 3. Intelligent guidance

[0086] Based on the preliminary review results, the intelligent guidance module provides users with comprehensive operational guidance. It features real-time guidance, intelligent Q&A, and video cloud agent functions. It can provide clear operational instructions in real time according to the user's application situation, answer user questions, and provide more intuitive guidance through the video cloud agent function, helping users to complete the application process quickly and accurately, avoiding repeated modifications and delays caused by operational errors.

[0087] 4. End-to-end approval

[0088] Ultimately, the end-to-end AI approval module, combined with the semantic understanding capabilities of the trusted government affairs big data model, comprehensively evaluates and finally approves the application materials after pre-review and intelligent guidance. Leveraging its powerful semantic understanding capabilities, the system can accurately grasp the substantive content of the materials, make accurate approval decisions, and promptly output approval results, achieving near-instant approval for simple matters and providing users with efficient and convenient approval services.

[0089] Through the close collaboration of IOC technology identification, AI pre-review, intelligent guidance, and full-process AI approval, the entire approval module forms an efficient, intelligent, and accurate approval system, which not only improves approval efficiency but also optimizes user experience and promotes the digital and intelligent development of government services.

[0090] The system collects data in real-time from the user's application materials database, including application form completion time, number of attachments, upload time, and number of projects in specific industries. Then, based on a comparison of the completion time with a preset completion time threshold, several first-stage temporary materials are selected. Next, considering the number of attachments and upload time, several second-stage temporary materials are determined from these first-stage temporary materials. Then, taking into account the number of attachments, number of projects, and a preset synchronization threshold for the second-stage temporary materials, priority materials with high task complexity are determined. Subsequently, these priority materials are sorted according to the number of attachments, number of projects, preset attachment weights, and preset project weights to form a material order. Within a preset pre-review timeframe, the priority materials are pre-reviewed according to their material order, and the pre-review time is recorded. Based on the pre-review time and material order, the preset attachment weights and preset project weights are adjusted to form adjusted attachment weights and adjusted project weights. Finally, the materials are approved according to the order determined by the adjusted attachment weights and adjusted project weights to form the approval result.

[0091] Through a multi-level screening mechanism, application materials meeting specific conditions can be accurately identified, gradually narrowing down the scope and prioritizing materials with high task complexity. Based on this, priority materials are ranked according to preset attachment weights and preset project weights, ensuring that highly complex and important materials are processed first. Simultaneously, weights are dynamically adjusted based on pre-review time to further optimize the ranking results. This effectively improves the efficiency and accuracy of the approval process, ensures the rational allocation of approval resources, reduces unnecessary waiting and delays, and thus significantly improves overall approval efficiency, effectively solving the problem of inefficiency caused by cumbersome manual review processes and unreasonable resource allocation.

[0092] Please continue reading. Figure 2 As shown, this is the determination logic diagram of the determination module for the first temporary material in this embodiment;

[0093] The determination module includes:

[0094] A comparison unit is used to compare the filling time with the preset filling time threshold to form a filling comparison result;

[0095] A determination unit, connected to the filling comparison unit, is used to determine that the application material is a first temporary material when the filling comparison result is that the filling time is less than the preset filling time threshold, and to form a plurality of first temporary materials.

[0096] The time taken to fill out the application form is compared with a preset time threshold to obtain a comparison result. When the time taken to fill out the form is lower than the preset time threshold, the application material is determined to be a first temporary material, and thus several first temporary materials are obtained.

[0097] By comparing the time taken to complete the application form with a preset time threshold, applications with abnormally short completion times can be quickly identified, initially filtering out potentially problematic or improperly completed applications. This effectively improves the entry quality of the approval process. It not only reduces time wasted in subsequent approval stages due to material issues but also optimizes the allocation of approval resources, ensuring that subsequent processes can more efficiently handle application materials that meet basic requirements, significantly improving the efficiency and accuracy of the entire approval process.

[0098] Specifically, the first determining module includes:

[0099] An upload speed calculation unit is used to calculate the ratio of the upload time of each of the first temporary materials to the number of attachments, thereby forming several upload speeds;

[0100] The first determining unit is connected to the upload speed calculation unit and is used to determine a number of second temporary materials based on each upload speed and a preset speed range.

[0101] The preset speed range is a certain percentage of upload speeds selected based on upload speed order. It is used to filter out application materials that meet the requirements. The range depends on business needs, approval efficiency goals, and the analysis results of historical data, and is typically set between the top 10% and 50%. In this embodiment, it is set to the top 30%, which effectively filters out the application materials with the fastest upload speeds, ensuring that these materials can be uploaded quickly under reasonable network conditions, thereby improving approval efficiency and achieving a good balance between efficiency and fairness.

[0102] The upload speed of each material is obtained by calculating the ratio of the upload time of each first temporary material to the number of attachments. Then, based on these upload speeds and the preset speed range, the first temporary materials that meet the requirements are selected and identified as second temporary materials.

[0103] By calculating upload speed and filtering materials according to preset speed range, the system can accurately identify the first temporary materials whose upload efficiency meets the standard and designate them as the second temporary materials. This effectively eliminates materials with slow upload speeds due to network problems or file abnormalities, reduces approval delays that may be caused by low upload efficiency, and further optimizes the entry quality of the approval process.

[0104] Specifically, the first determining unit includes:

[0105] The speed sorting subunit is used to sort the upload speeds from fastest to slowest to form an upload speed order list;

[0106] The first determining subunit, which is connected to the speed sorting subunit, is used to filter the upload speed within the preset speed range from the upload speed order list, and determine the first temporary material as the second temporary material according to the filtered upload speed, thereby forming a plurality of second temporary materials.

[0107] By sorting the upload speeds of all first temporary materials from fastest to slowest, an ordered list of upload speeds is formed. Then, based on a preset speed range, upload speeds that meet the criteria are selected from this ordered list. Finally, the first temporary materials corresponding to these qualified upload speeds are determined as second temporary materials.

[0108] By sorting upload speeds and filtering based on preset speed ranges, application materials with high upload efficiency can be accurately identified and designated as secondary temporary materials. This effectively eliminates materials with slow upload speeds due to network issues or file abnormalities, reducing approval delays that may be caused by low upload efficiency. It ensures that materials entering subsequent approval stages meet the upload efficiency requirements, further optimizing the entry quality of the approval process, improving approval efficiency, and guaranteeing the smooth progress of the approval process.

[0109] Specifically, the second determining module includes:

[0110] The attachment curve plotting unit is used to plot the change curve of the number of attachments of all the second temporary materials, forming the attachment curve;

[0111] The project curve plotting unit is used to plot the change curve of the total quantity of all the second temporary materials, forming a project curve;

[0112] The complexity determination unit is connected to the attachment curve drawing unit and the project curve drawing unit respectively, and is used to determine the high task complexity based on the attachment curve and the project curve to form several priority materials.

[0113] High task complexity refers to the relative degree to which application materials require more resources to complete the review process. This is typically determined by factors such as the number of attachments, the number of projects, data fluctuations, and the difficulty of the review. Identifying and prioritizing high-task-complexity applications can optimize resource allocation, improve approval efficiency and quality, and ensure a smooth approval process.

[0114] By plotting the change curves of the number of attachments and items for each of the second temporary materials, we obtain attachment curves and item curves. By analyzing the changing trends of these two curves, we assess the complexity of the task, identify high-complexity tasks, and form several priority materials.

[0115] By plotting the changes in the number of attachments and projects and identifying high-complexity priority materials accordingly, the complexity of each application material can be assessed intuitively and scientifically. This effectively identifies and prioritizes highly complex tasks, ensuring the rational allocation of approval resources and timely attention to complex tasks. Consequently, the efficiency and accuracy of the approval process are significantly improved, and the overall approval outcome is optimized.

[0116] Please continue reading. Figure 3 As shown, it is the logic diagram for determining the complexity of a high task by the complexity determination unit in this embodiment;

[0117] The complexity determination unit includes:

[0118] The synchronization calculation subunit is used to calculate the correlation coefficient between the attachment curve and the project curve to form the change synchronization degree;

[0119] The complexity determination subunit, which is connected to the synchronization calculation subunit, is used to determine the second temporary material as having high task complexity when the change in synchronization is greater than the preset synchronization threshold, thereby forming several priority materials.

[0120] The preset synchronization threshold is a standard value used to assess task complexity. It depends on factors such as the number of attachments to the application materials, the number of projects, and business needs, and is typically set between 0.7 and 0.9. In this embodiment, it is set to 0.8, which effectively filters out application materials with high task complexity, ensuring that these materials are processed first. At the same time, this threshold balances approval efficiency and accuracy, avoiding misjudgments caused by thresholds that are too high or too low.

[0121] The changing trends of the two curves can reflect the complexity of the task. If the changes in the number of attachments and the number of projects are highly synchronized, it indicates a high level of task complexity, because a synchronous increase or decrease in the number of attachments and projects usually means that the scale and complexity of the task are changing in sync.

[0122] The correlation coefficient between the attachment curve and the project curve is calculated to obtain the degree of change synchronization. Then, the task complexity is determined by comparing the degree of change synchronization with the preset synchronization threshold. If the degree of change synchronization is higher than the preset synchronization threshold, it indicates that the changes in the number of attachments and the number of projects are highly consistent, implying that the task is more complex. Therefore, the corresponding second temporary material is identified as the priority material for high task complexity.

[0123] By coordinating the work of the synchronization calculation subunit and the complexity determination subunit, materials with high task complexity can be accurately identified and prioritized. This not only improves the targeting and efficiency of task processing and avoids indiscriminate processing of all materials, but also effectively optimizes resource allocation, ensuring that complex tasks receive priority attention and resolution, thereby improving overall work quality and system reliability.

[0124] Specifically, the sorting module includes:

[0125] The normalization unit is used to normalize the number of each of the attachments of the priority material to form a standard number of attachments, and to normalize the number of each of the items of the priority material to form a standard number of items.

[0126] A priority sorting unit, connected to the normalization unit, is used to sort each priority material according to the number of standard attachments, the number of standard items, the preset attachment weights, and the preset item weights to form a material order.

[0127] The number of attachments and items in each priority material is converted into the number of standard attachments and standard items through normalization. Then, based on the normalized number of standard attachments, standard items, preset attachment weights, and preset item weights, each priority material is comprehensively evaluated and ranked to form the material order.

[0128] By standardizing and sorting the number of attachments and items for priority materials, a scientific and reasonable material order is formed. This eliminates interference from data discrepancies, ensures the comparability of different materials under a unified standard, and accurately sorts materials according to preset weights, improving the scientific and rational nature of resource allocation and task assignment. It not only enhances the transparency and operability of decision-making but also effectively improves overall work efficiency and system stability, providing strong support for the efficient management of complex tasks.

[0129] Specifically, the sorting unit includes:

[0130] The priority index calculation unit is used to perform a weighted summation of the number of standard attachments, the number of standard items, the preset attachment weights, and the preset item weights to form a priority index.

[0131] A priority sorting subunit, which is connected to the priority index calculation unit, is used to sort each priority material from low to high according to the priority index to form a material order.

[0132] The priority index of each priority material is calculated by weighting and summing the number of standard attachments, the number of standard items, the preset attachment weights, and the preset item weights. Then, the priority materials are sorted from low to high according to the priority index, and the material order is finally formed.

[0133] By calculating the priority index through weighted summation and then ranking them, the importance of each priority material can be comprehensively assessed by taking into account factors such as the number of standard attachments, the number of standard items, the preset attachment weights, and the preset item weights. The ranking method based on quantitative analysis not only ensures the scientific and objective nature of the material order but also improves the accuracy of resource allocation and task processing. This allows limited resources to be prioritized for processing more important materials, thereby improving overall work efficiency and the reliability of decision-making, and providing strong support for efficient management and optimized task execution.

[0134] Specifically, the adjustment module includes:

[0135] The pre-examination curve plotting unit is used to plot the change curve of the pre-examination time for all the priority materials, forming a pre-examination change curve;

[0136] An exponential curve plotting unit is used to plot the change curves of the priority index for all the priority materials, forming an exponential change curve;

[0137] An adjustment unit, which is connected to the pre-approval curve plotting unit and the exponential curve plotting unit respectively, is used to adjust the preset attachment weights and the preset item weights according to the pre-approval change curve and the exponential change curve, thereby forming adjusted attachment weights and adjusted item weights.

[0138] By plotting the change curve of the pre-review time for each priority material, a pre-review change curve is formed. At the same time, the change curve of the priority index for each priority material is plotted, forming an index change curve. Then, based on the pre-review change curve and the index change curve, the preset attachment weights and preset project weights are adjusted, forming the adjusted attachment weights and adjusted project weights.

[0139] By plotting curves showing the changes in pre-review time and priority index, and adjusting the preset attachment weights and preset project weights accordingly, the dynamic changes of priority materials during the pre-review process can be intuitively reflected. This allows for the timely identification and optimization of any unreasonable settings in the preset attachment and project weights. Furthermore, it ensures that the preset attachment and project weights better align with actual needs, further improving the accuracy and adaptability of priority ranking. This guarantees that limited resources can be more accurately allocated to key materials, thereby enhancing the overall efficiency and quality of the pre-review process and strengthening the system's flexibility and adaptability.

[0140] Please continue reading. Figure 4 As shown, this is the logic diagram for determining whether the preset attachment weight needs to be adjusted by the adjustment unit in this embodiment;

[0141] The adjustment unit includes:

[0142] The consistency calculation subunit is used to calculate the cosine similarity between the pre-approval change curve and the exponential change curve to form the change consistency.

[0143] An adjustment subunit, connected to the consistency calculation subunit, is used to determine that a preset attachment weight needs to be adjusted when the change in consistency is less than a preset consistency threshold, and to calculate the relative deviation between the change in consistency and the preset consistency threshold to form a consistency deviation. The preset attachment weight and the preset item weight are adjusted according to the consistency deviation and a preset adjustment coefficient to form an adjusted attachment weight and an adjusted item weight.

[0144] The preset adjustment coefficient is a parameter used to control the adjustment magnitude when adjusting weights. It depends on the actual needs of the system, the characteristics of the data, and the required adjustment sensitivity, and is usually set between 0.2 and 0.5. In this embodiment, the preset adjustment coefficient is set to 0.3, which can effectively adjust the weights to improve consistency while avoiding system instability caused by excessive adjustment magnitude, thus achieving a balance between dynamic adjustment and system stability.

[0145] The preliminary review curve reflects the changing trend of the preliminary review time for priority materials, while the index curve reflects the changing trend of the priority index for priority materials. The numerical ranges of these two curves may be different, but their changing trends are the key factors. Even if the numerical ranges of the two curves are different, as long as their changing trends are similar, the cosine similarity can give a high similarity value. This characteristic makes the cosine similarity an ideal tool for measuring curve similarity. The changing trends of these two curves should theoretically have a certain correlation, because the preliminary review time and priority index of priority materials are both affected by their importance, complexity, and approval process.

[0146] The consistency of change is calculated by taking the cosine similarity between the pre-approval change curve and the exponential change curve. When the consistency of change is less than the preset consistency threshold, the relative deviation between the consistency of change and the preset consistency threshold is calculated to form the consistency deviation. Then, based on the consistency deviation and the preset adjustment coefficient, the preset attachment weights and preset project weights are adjusted to form the adjusted attachment weights and adjusted project weights.

[0147] By calculating the cosine similarity between the pre-review change curve and the exponential change curve to form the change consistency degree, the degree of matching between the two can be quantified, thereby accurately assessing the rationality of the preset attachment weights and preset project weights. When the change consistency degree is lower than the preset threshold, it indicates that the pre-review change curve and the exponential change curve are not similar enough in shape, that is, their change trends are not well matched. This means that the current preset weights fail to accurately reflect the actual relationship between priority materials in pre-review time and priority index, resulting in unreasonable weight allocation. Therefore, further calculating the consistency degree deviation and combining it with the adjustment coefficient to optimize the weight reorganization can effectively correct the weight deviation and ensure that the change trends of pre-review time and priority index remain highly consistent. This not only improves the scientificity and accuracy of the pre-review process, but also enhances the system's adaptability and stability, providing a strong guarantee for optimizing resource allocation and improving pre-review efficiency, and further improving the overall quality and efficiency of the work.

[0148] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. An intelligent approval platform for administrative affairs, characterized in that, include: The data collection module is used to collect data in real time on the time taken to fill out the application form, the number of attachments, the upload time, and the number of projects in a specific industry for each application material in the user's application materials database. The determination module, which is connected to the acquisition module, is used to determine a number of first temporary materials based on the filling time and a preset filling time threshold. A first determining module is connected to the acquisition module and the determination module respectively, and is used to determine a number of second temporary materials based on the number of attachments of each first temporary material and the upload duration; The second determining module is connected to the acquisition module and the first determining module respectively, and is used to determine a number of priority materials based on the number of attachments and the number of items of each of the second temporary materials; The sorting module is connected to the acquisition module and the second determination module respectively, and is used to sort each priority material according to the number of attachments, the number of items, the preset attachment weight and the preset item weight to form a material order; The pre-review module is connected to the second determination module and the sorting module respectively, and is used to review each priority material determined based on the material order within a preset pre-review time, and record the pre-review time of each priority material to form a number of pre-review times; An adjustment module, which is connected to the sorting module and the pre-review module respectively, is used to adjust the preset attachment weight and the preset item weight according to the pre-review time and the order of the materials, thereby forming adjusted attachment weight and adjusted item weight; An approval module, which is connected to the sorting module and the adjustment module respectively, is used to approve the materials according to the order of the materials determined based on the weight of the whole attachment and the weight of the adjustment item, and form an approval result; The sorting module includes: The normalization unit is used to normalize the number of each of the attachments of the priority material to form a standard number of attachments, and to normalize the number of each of the items of the priority material to form a standard number of items. A priority sorting unit, connected to the normalization unit, is used to sort each priority material according to the number of standard attachments, the number of standard items, the preset attachment weight, and the preset item weight, to form a material order; The sorting unit includes: The priority index calculation unit is used to perform a weighted summation of the number of standard attachments, the number of standard items, the preset attachment weights, and the preset item weights to form a priority index. A priority sorting subunit, which is connected to the priority index calculation unit, is used to sort each priority material from low to high according to the priority index to form a material order; The adjustment module includes: The pre-examination curve plotting unit is used to plot the change curve of the pre-examination time for all the priority materials, forming a pre-examination change curve; An exponential curve plotting unit is used to plot the change curves of the priority index for all the priority materials, forming an exponential change curve; An adjustment unit is connected to the pre-approval curve plotting unit and the exponential curve plotting unit respectively, and is used to adjust the preset attachment weight and the preset item weight according to the pre-approval change curve and the exponential change curve to form adjusted attachment weight and adjusted item weight; The adjustment unit includes: The consistency calculation subunit is used to calculate the cosine similarity between the pre-approval change curve and the exponential change curve to form the change consistency. An adjustment subunit, connected to the consistency calculation subunit, is used to determine that a preset attachment weight needs to be adjusted when the change in consistency is less than a preset consistency threshold, and to calculate the relative deviation between the change in consistency and the preset consistency threshold to form a consistency deviation. The preset attachment weight and the preset item weight are adjusted according to the consistency deviation and a preset adjustment coefficient to form an adjusted attachment weight and an adjusted item weight.

2. The intelligent approval platform for administrative affairs according to claim 1, characterized in that, The determination module includes: A comparison unit is used to compare the filling time with the preset filling time threshold to form a filling comparison result; A determination unit, connected to the filling comparison unit, is used to determine that the application material is a first temporary material when the filling comparison result is that the filling time is less than the preset filling time threshold, and to form a plurality of first temporary materials.

3. The intelligent approval platform for administrative affairs according to claim 2, characterized in that, The first determining module includes: An upload speed calculation unit is used to calculate the ratio of the upload time of each of the first temporary materials to the number of attachments, thereby forming several upload speeds; The first determining unit is connected to the upload speed calculation unit and is used to determine a number of second temporary materials based on each upload speed and a preset speed range.

4. The intelligent approval platform for administrative affairs according to claim 3, characterized in that, The first determining unit includes: The speed sorting subunit is used to sort the upload speeds from fastest to slowest to form an upload speed order list; The first determining subunit, which is connected to the speed sorting subunit, is used to filter the upload speed within the preset speed range from the upload speed order list, and determine the first temporary material as the second temporary material according to the filtered upload speed, thereby forming a plurality of second temporary materials.

5. The intelligent approval platform for administrative affairs according to claim 4, characterized in that, The second determining module includes: The attachment curve plotting unit is used to plot the change curve of the number of attachments of all the second temporary materials, forming the attachment curve; The project curve plotting unit is used to plot the change curve of the total quantity of all the second temporary materials, forming a project curve; The complexity determination unit is connected to the attachment curve drawing unit and the project curve drawing unit respectively, and is used to determine the high task complexity based on the attachment curve and the project curve to form several priority materials.

6. The intelligent approval platform for administrative affairs according to claim 5, characterized in that, The complexity determination unit includes: The synchronization calculation subunit is used to calculate the correlation coefficient between the attachment curve and the project curve to form the change synchronization degree; The complexity determination subunit, which is connected to the synchronization calculation subunit, is used to determine the second temporary material as having high task complexity when the change in synchronization is greater than a preset synchronization threshold, thereby forming several priority materials.

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