Agent ability evaluation method and system based on multi-project fusion, and medium

Abstract

The application provides an agent ability evaluation method and system based on multi-project fusion, and a medium. The method comprises the following steps: collecting tester identity information, verifying the tester identity information, binding the tester identity information that has passed the verification with a test account to obtain a tester evaluation account; obtaining evaluation requirement information, matching at least two physical test projects, and collecting original test data; performing cleaning, calibration and normalization processing on the original test data of each physical test project to obtain preprocessed test data; performing evaluation processing on the preprocessed test data according to scoring standard information to obtain a single score of each test project; performing fusion analysis on the single scores of all test projects according to a multi-project fusion algorithm to obtain a comprehensive physical ability evaluation result of the tester; and through identity recognition, the use requirements of different testers are adapted, multi-dimensional and comprehensive physical ability evaluation is realized, and the evaluation accuracy is improved.

Description

Technical Field

[0001] This application relates to the field of physical fitness assessment technology, and more specifically, to an intelligent physical fitness assessment method, system, and medium based on multi-item fusion. Background Technology

[0002] With the popularization of the concept of national health and the increasing emphasis on physical fitness testing in the education sector, physical fitness assessment scenarios such as national physical fitness testing, physical fitness monitoring in primary and secondary schools, and physical education entrance examinations are becoming increasingly common, placing higher demands on the comprehensiveness, accuracy, efficiency, and standardization of physical fitness assessments. Currently, there are still many technical problems in the field of physical fitness assessment that urgently need to be solved, and traditional physical fitness testing models are no longer suitable for large-scale, multi-scenario assessment needs.

[0003] Current physical fitness assessment methods mainly rely on independent testing of single items. Different test items are independent of each other and lack coordination. They need to be deployed and operated separately, which not only leads to cumbersome test site deployment and low testing efficiency, but also makes it difficult to achieve integrated analysis of data from multiple items, thus failing to fully reflect the overall physical fitness level of the test taker. Summary of the Invention

[0004] The purpose of this application is to provide an intelligent physical fitness assessment method, system, and medium based on multi-item integration. By recognizing the user's identity, it adapts to the needs of different test subjects, integrates multiple physical fitness test items, realizes multi-dimensional and comprehensive physical fitness assessment, adapts to various scenarios of national physical fitness testing, and improves assessment accuracy.

[0005] This application also provides an intelligent physical fitness assessment method based on multi-item fusion, including:

[0006] Collect the test subject's identity information, verify the test subject's identity information according to the pre-stored identity database, and bind the successfully verified test subject's identity information to the test account to obtain the test subject's evaluation account;

[0007] Obtain assessment needs information, match at least two physical fitness test items based on the assessment needs information, and collect raw test data for each physical fitness test item;

[0008] The raw test data of each physical fitness test item are cleaned, calibrated and normalized to obtain preprocessed test data.

[0009] Obtain the preset scoring criteria information, evaluate the preprocessed test data according to the scoring criteria information, and obtain the individual scores of the test items;

[0010] The individual scores of all test items are analyzed by a multi-item fusion algorithm to obtain the comprehensive physical fitness assessment results of the test takers. The comprehensive physical fitness assessment results of the test takers are then transmitted to the test takers' assessment accounts in real time.

[0011] Optionally, in the intelligent physical fitness assessment method based on multi-item fusion described in the embodiments of this application, the method for obtaining the test subject's assessment account is as follows:

[0012] Collect the test subject's identity information, which includes the test subject's unique number, name, gender, age, and test permissions;

[0013] The test subject's identity information was standardized by unifying field encoding and filling in missing identifiers to obtain standardized identity information.

[0014] Extract standard matching fields from the pre-stored identity database, including unique ID, name, gender, age, and compliance test status, to obtain baseline data;

[0015] The standardized identity information is verified against the benchmark data to check whether the identity information conforms to the set standard information;

[0016] If the information meets the set criteria, the test subject's unique number will be linked to the test account to obtain the test subject's evaluation account.

[0017] Optionally, in the intelligent physical fitness assessment method based on multi-item fusion described in the embodiments of this application, the method involves obtaining assessment requirement information, matching at least two physical fitness test items based on the assessment requirement information, and collecting raw test data for each physical fitness test item. Specifically, this includes:

[0018] Obtain the test subject's identity information and the current test scenario information, and match basic assessment requirements information based on the test subject's identity information and the current test scenario information;

[0019] Obtain the test subject's specific testing needs information, integrate and standardize the basic assessment needs information and specific testing needs information to obtain the final assessment needs information;

[0020] The final evaluation requirements are analyzed based on the preset project matching rules, and suitable candidate test projects are selected.

[0021] Obtain the status information of the testing equipment and the physical condition information of the test subjects, replace or change the candidate test items, and obtain the final list of physical fitness test items.

[0022] The test subjects were tested according to the final list of physical fitness test items, and the raw test data for each physical fitness test item was obtained.

[0023] Optionally, in the intelligent physical fitness assessment method based on multi-item fusion described in the embodiments of this application, the original test data of each physical fitness test item is cleaned, calibrated, and normalized to obtain preprocessed test data, specifically including:

[0024] Obtain the raw test data for each physical fitness test item, and extract the core attribute information of the raw test data. The core attribute information includes data acquisition time, acquisition device number, transmission method, test item type and data unit.

[0025] According to the preset invalid data judgment rules, the raw data of each physical fitness test item is screened one by one to remove invalid data;

[0026] Set a security test threshold, and analyze the original data after removing invalid data according to the security test threshold. If the original data is greater than the security test threshold, it is judged as abnormal data and removed to obtain clean data.

[0027] The cleaning data is calibrated according to a preset data range to obtain calibrated data.

[0028] A linear normalization algorithm is used, with a preset normalization target range of [0, 1], to normalize the calibrated data and obtain preprocessed test data.

[0029] Optionally, in the intelligent physical fitness assessment method based on multi-item fusion described in the embodiments of this application, preset scoring standard information is obtained, and the preprocessed test data is evaluated according to the scoring standard information to obtain individual scores for each test item, specifically including:

[0030] Multiple rating standard packages are obtained from a pre-set rating database. The multiple rating standard packages are matched with the test subject's identity information and the final evaluation requirements to obtain the matching degree.

[0031] Determine whether the matching degree is greater than or equal to the set matching degree threshold;

[0032] If the score is greater than or equal to the set matching threshold, a matching score package is obtained.

[0033] The matching scoring criteria package is standardized and parsed to extract the core scoring rules for each test item;

[0034] Each test item in the preprocessed test data is evaluated according to the core scoring rules, and a score value is generated for each test item.

[0035] The score of each test item is optimized based on the scoring threshold range to obtain the individual score of the test item.

[0036] Optionally, in the intelligent physical fitness assessment method based on multi-item fusion described in the embodiments of this application, the individual scores of all test items are fused and analyzed according to the multi-item fusion algorithm to obtain the comprehensive physical fitness assessment result of the test subject, specifically including:

[0037] Weight coefficients are set for different test items according to the preset weight allocation rules;

[0038] The different test items are weighted according to the set weighting coefficients to obtain the weighted individual scores;

[0039] The weighted individual scores are fused using a weighted fusion algorithm to obtain preliminary fused data.

[0040] The initial fused data was subjected to validity verification analysis to obtain the verification results.

[0041] If the verification result meets the set verification conditions, the comprehensive physical fitness assessment result of the test subject can be obtained based on the verification result.

[0042] If the verification result does not meet the set verification conditions, the weighting coefficient will be adjusted.

[0043] Secondly, embodiments of this application provide an intelligent physical fitness assessment system based on multi-item fusion. The system includes a memory and a processor. The memory includes a program for an intelligent physical fitness assessment method based on multi-item fusion. When the program for the intelligent physical fitness assessment method based on multi-item fusion is executed by the processor, it performs the following steps:

[0044] Collect the test subject's identity information, verify the test subject's identity information according to the pre-stored identity database, and bind the successfully verified test subject's identity information to the test account to obtain the test subject's evaluation account;

[0045] Obtain assessment needs information, match at least two physical fitness test items based on the assessment needs information, and collect raw test data for each physical fitness test item;

[0046] The raw test data of each physical fitness test item are cleaned, calibrated and normalized to obtain preprocessed test data.

[0047] Obtain the preset scoring criteria information, evaluate the preprocessed test data according to the scoring criteria information, and obtain the individual scores of the test items;

[0048] The individual scores of all test items are analyzed by a multi-item fusion algorithm to obtain the comprehensive physical fitness assessment results of the test takers. The comprehensive physical fitness assessment results of the test takers are then transmitted to the test takers' assessment accounts in real time.

[0049] Optionally, in the intelligent physical fitness assessment system based on multi-item fusion described in this application embodiment, the method for obtaining the test subject's assessment account is as follows:

[0050] Collect the test subject's identity information, which includes the test subject's unique number, name, gender, age, and test permissions;

[0051] The test subject's identity information was standardized by unifying field encoding and filling in missing identifiers to obtain standardized identity information.

[0052] Extract standard matching fields from the pre-stored identity database, including unique ID, name, gender, age, and compliance test status, to obtain baseline data;

[0053] The standardized identity information is verified against the benchmark data to check whether the identity information conforms to the set standard information;

[0054] If the information meets the set criteria, the test subject's unique number will be linked to the test account to obtain the test subject's evaluation account.

[0055] Optionally, in the intelligent physical fitness assessment system based on multi-item fusion described in this application embodiment, assessment requirement information is obtained, at least two physical fitness test items are matched according to the assessment requirement information, and raw test data for each physical fitness test item is collected, specifically including:

[0056] Obtain the test subject's identity information and the current test scenario information, and match basic assessment requirements information based on the test subject's identity information and the current test scenario information;

[0057] Obtain the test subject's specific testing needs information, integrate and standardize the basic assessment needs information and specific testing needs information to obtain the final assessment needs information;

[0058] The final evaluation requirements are analyzed based on the preset project matching rules, and suitable candidate test projects are selected.

[0059] Obtain the status information of the testing equipment and the physical condition information of the test subjects, replace or change the candidate test items, and obtain the final list of physical fitness test items.

[0060] The test subjects were tested according to the final list of physical fitness test items, and the raw test data for each physical fitness test item was obtained.

[0061] Thirdly, embodiments of this application also provide a computer-readable storage medium, which includes a program for an intelligent physical fitness assessment method based on multi-item fusion. When the program for the intelligent physical fitness assessment method based on multi-item fusion is executed by a processor, it implements the steps of the intelligent physical fitness assessment method based on multi-item fusion as described in any of the preceding claims.

[0062] As can be seen from the above, the intelligent physical fitness assessment method, system, and medium based on multi-item fusion provided in this application embodiment collects the identity information of the test subject, verifies the identity information of the test subject according to a pre-stored identity database, and binds the successfully verified identity information of the test subject to a test account to obtain the test subject's assessment account; obtains assessment demand information, matches at least two physical fitness test items according to the assessment demand information, and collects the original test data of each physical fitness test item; cleans, calibrates, and normalizes the original test data of each physical fitness test item to obtain preprocessed test data; obtains preset scoring standard information, evaluates each test item of the preprocessed test data according to the scoring standard information to obtain the individual score of the test item; performs fusion analysis on the individual scores of all test items according to the multi-item fusion algorithm to obtain the comprehensive physical fitness assessment result of the test subject, and transmits the comprehensive physical fitness assessment result of the test subject to the test subject's assessment account in real time; adapts to the usage needs of different test subjects through identity recognition, integrates multiple physical fitness test items, realizes multi-dimensional and comprehensive physical fitness assessment, adapts to various scenarios of national physical fitness testing, and improves assessment accuracy. Attached Figure Description

[0063] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0064] Figure 1 A flowchart of the intelligent physical fitness assessment method based on multi-item fusion provided in the embodiments of this application;

[0065] Figure 2 A flowchart illustrating the process of obtaining the assessment account for the intelligent physical fitness assessment method based on multi-item fusion provided in this application embodiment;

[0066] Figure 3 A flowchart illustrating the process of acquiring raw test data for the intelligent physical fitness assessment method based on multi-item fusion provided in this application embodiment. Detailed Implementation

[0067] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0068] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0069] Please refer to Figure 1 , Figure 1 This is a flowchart of a multi-item fusion-based intelligent physical fitness assessment method according to some embodiments of this application. This multi-item fusion-based intelligent physical fitness assessment method is used in a terminal device and includes the following steps:

[0070] S101, Collect the test subject's identity information, verify the test subject's identity information according to the pre-stored identity database, and bind the successfully verified test subject's identity information to the test account to obtain the test subject's evaluation account;

[0071] S102, Obtain assessment requirement information, match at least two physical fitness test items based on the assessment requirement information, and collect the raw test data for each physical fitness test item;

[0072] S103, cleans, calibrates and normalizes the raw test data of each physical fitness test item to obtain preprocessed test data;

[0073] S104: Obtain the preset scoring standard information, evaluate the preprocessed test data according to the scoring standard information, and obtain the individual score of the test item.

[0074] S105: Based on the multi-item fusion algorithm, the individual scores of all test items are fused and analyzed to obtain the comprehensive physical fitness assessment results of the test taker, and the comprehensive physical fitness assessment results of the test taker are transmitted to the test taker's assessment account in real time.

[0075] like Figure 2As shown in the embodiment of the present invention, the method for obtaining the test subject's assessment account is as follows:

[0076] Collect the test subject's identity information, which includes the test subject's unique number, name, gender, age, and test permissions;

[0077] The test subject's identity information was standardized by unifying field encoding and filling in missing identifiers to obtain standardized identity information.

[0078] Extract standard matching fields from the pre-stored identity database, including unique ID, name, gender, age, and compliance test status, to obtain baseline data;

[0079] The standardized identity information is verified against the benchmark data to check whether the identity information conforms to the set standard information;

[0080] If the information meets the set criteria, the test subject's unique number will be linked to the test account to obtain the test subject's evaluation account.

[0081] It should be noted that the collection and standardized reading of the test subject's identity information specifically includes:

[0082] The system activates the identity recognition module and enters the identity collection standby state. The test subject submits identity information through the appropriate identity credential. The identity recognition module completes contactless or contact information reading. The collected content includes core identity fields such as the test subject's unique number, name, gender, age, unit / class, and test permissions. The collection method is compatible with four modes: smart IC card swiping, ID card reading, barcode / QR code scanning, and manual number entry. After collection, the system automatically standardizes the format of the collected identity information, unifies field encoding, fills in missing identifiers, and stores the standardized identity information in a temporary cache area, waiting to enter the verification process. At the same time, the current collection channel is locked to avoid duplicate collection and information overwriting.

[0083] Retrieval of the pre-stored identity database and loading of the matching benchmark include:

[0084] Based on the current testing scenario, the system automatically retrieves the pre-stored identity database corresponding to the relevant permissions. The pre-stored database for physical fitness testing in primary and secondary schools corresponds to student registration information, the pre-stored database for physical education entrance examinations corresponds to student registration information, and the pre-stored database for national physical fitness testing corresponds to the pre-stored database for test taker registration information. After the database is loaded, the system automatically extracts the standard matching fields from the pre-stored database, including unique ID, name, gender, age, and compliance testing status, as the baseline data for identity verification. At the same time, the system verifies the integrity and timeliness of the database, removes expired, invalid, and locked personnel information, and retains only the valid identity data within the scope of this test to avoid invalid comparisons and incorrect matches.

[0085] Multi-dimensional, hierarchical identity verification and compliance assessment includes:

[0086] The system will verify the standardized collected identity information against the baseline data in the pre-stored identity database layer by layer, executing a three-level verification logic. Verification is considered successful only if all verifications pass; if any level of verification fails, verification is directly deemed a failure, subsequent processes are terminated, and the corresponding reason for the exception is reported.

[0087] Basic format and legality verification: Verify whether the length and encoding rules of the collected identity number meet the preset standards, whether the age and gender fields are complete and valid, and exclude illegal information such as garbled characters, empty fields, and invalid numbers;

[0088] Intra-database consistency matching verification: Using the unique number as the core retrieval field, a precise search is performed in the pre-stored identity database to verify that the collected name, gender, and age are completely consistent with the baseline information in the database, thus determining that the identity of the test subject is genuine and valid, and excluding forged or incorrectly recorded information;

[0089] Test access and uniqueness verification: Verify whether the test subject belongs to the scope of this test and whether they have the corresponding test access. At the same time, check that the identity number has not completed the test within this test cycle, is not locked, and has no abnormal usage records, to rule out duplicate testing, proxy testing, and testing beyond the scope.

[0090] After successful verification, the identity information is bound to the test account, including:

[0091] After all three levels of verification are passed, the system confirms the test subject's identity as legitimate and valid, and automatically assigns a dedicated test account to the current test subject. This test account has a unique account ID that corresponds one-to-one with the test subject's unique identification number, with no duplicates or overlaps. The system writes all the verified complete identity information into the basic information field of the test account, and simultaneously loads the scoring criteria, range of testable items, and test rules corresponding to the test subject's age group and gender, completing the mandatory binding of identity information and test account. The binding relationship cannot be modified, unbound, or replaced throughout the entire test cycle, ensuring that all subsequent test item raw data, process records, and scoring results are automatically attributed to this bound account.

[0092] Generate a formal test subject evaluation account and activate testing privileges, specifically including:

[0093] After the binding is completed, the system generates a formal and usable evaluation account for the test subject based on the bound identity information of the test account. This account integrates five core modules: identity information, test permissions, data storage space, scoring rules, and traceability logs. It has complete test support, data collection, evaluation calculation, and result export functions. After the account is generated, the system automatically activates the full project test permissions of the account and updates the account status to "awaiting test" in sync. The system displays a message indicating successful identity verification and account activation, and then proceeds to the test project selection and execution phase.

[0094] like Figure 3 As shown, according to an embodiment of the present invention, assessment requirement information is obtained, at least two physical fitness test items are matched according to the assessment requirement information, and raw test data for each physical fitness test item are collected, specifically including:

[0095] Obtain the test subject's identity information and the current test scenario information, and match basic assessment requirements information based on the test subject's identity information and the current test scenario information;

[0096] Obtain the test subject's specific testing needs information, integrate and standardize the basic assessment needs information and specific testing needs information to obtain the final assessment needs information;

[0097] The final evaluation requirements are analyzed based on the preset project matching rules, and suitable candidate test projects are selected.

[0098] Obtain the status information of the testing equipment and the physical condition information of the test subjects, replace or change the candidate test items, and obtain the final list of physical fitness test items.

[0099] The test subjects were tested according to the final list of physical fitness test items, and the raw test data for each physical fitness test item was obtained.

[0100] It should be noted that the assessment of demand information acquisition and standardized analysis includes:

[0101] Automatic matching of basic requirements: The system retrieves the identity information (age, gender, test permissions) in the test subject's assessment account, and combines it with the current test scenario (national physical fitness test, physical education entrance examination, physical fitness test for primary and secondary schools) to automatically match the basic assessment requirements in the scenario and clarify the core assessment dimensions (such as endurance, strength, and flexibility for teenagers, and function and balance for the elderly).

[0102] Manual supplementation of specific needs: Staff can supplement the specific assessment needs of the test subjects through the system operation interface based on their specific testing needs (such as specific physical fitness tests, retests, and personalized assessments), clarify the physical fitness indicators that need to be focused on testing, and adjust the priority of test items.

[0103] Standardized requirements analysis: The system integrates and standardizes the acquired basic and specific requirements, clarifies the core indicators for evaluating the requirements, the required number of test items (at least two), and the suggested test order, and generates a standardized evaluation requirements list, which is synchronously linked to the test subject's evaluation account as the core basis for matching test items, ensuring that the requirements are unambiguous and feasible.

[0104] Based on the assessment of needs, at least two physical fitness test items should be matched, including:

[0105] Based on a standardized assessment requirements list, the system automatically matches suitable physical fitness test items by combining the equipment configuration of multiple test modules and the test permissions of the test taker's assessment account. It also supports manual fine-tuning to ensure the relevance and comprehensiveness of the item matching. The specific execution process is as follows:

[0106] Project matching rule loading: The system loads preset project matching rules to clarify the appropriate projects for different assessment needs, age groups, and testing scenarios. For example, in the physical education entrance examination scenario (junior high school girls), the assessment needs are endurance, strength, and flexibility, and the matching projects are middle-distance running, sit-ups, and sit-and-reach; in the national physical fitness test (adults), the assessment needs are morphology, function, and strength, and the matching projects are height and weight, lung capacity, and grip strength.

[0107] Automatic matching of candidate projects: Based on the evaluation requirements list, the system selects suitable candidate projects from 17 types of testing equipment in the multi-project testing module to ensure that the number of candidate projects is no less than two and covers all the core indicators of the evaluation requirements, thus avoiding single projects and one-sided evaluation.

[0108] Manual confirmation and fine-tuning: Staff can review the candidate item list automatically matched by the system and, in combination with the status of the on-site testing equipment and the physical condition of the test subject, fine-tune the candidate items (replace or add items), but must ensure that the final number of test items is not less than two and meets the evaluation requirements.

[0109] Project locking and synchronization: After the test projects are determined, the system automatically locks the selected projects and synchronizes the project list to the test subject's evaluation account, the multi-project test module and the display module, clarifying the test order and test rules of each project, and at the same time verifying the operating status of the corresponding test equipment (battery power, calibration status) to ensure that the equipment can start normally and avoid test interruption.

[0110] The specific steps of starting up and preparing for testing include:

[0111] Once the test item is locked, the system automatically starts the corresponding test equipment, completes equipment initialization and test preparation, and lays the foundation for raw data acquisition.

[0112] Batch device startup: The system remotely starts the devices corresponding to the selected test items in batches through the data acquisition and transmission module. After the devices are started, they automatically complete the initialization operation (such as calibrating the level of the height and weight tester, resetting the mouthpiece of the lung capacity tester, starting the infrared detection of the sit-up tester, and calibrating the sensing area of ​​the standing long jump tester).

[0113] Equipment status verification: The system verifies the operating status of each test device in real time, including the remaining battery life (ensuring it is not less than the total test time required for all items of the current test subject), sensor accuracy, and communication connection status. If a device failure, insufficient power, or communication abnormality is detected, an immediate prompt will be issued, and staff will promptly replace the device with a backup or adjust the order of test items.

[0114] Synchronization of test rules: The system synchronizes the standard test rules (such as test duration, action specifications, and valid judgment criteria) for each test item with the test subjects and staff through the display module. The staff guides the test subjects to prepare for the test (such as preparing barefoot for height and weight test, and adjusting breathing to prepare for lung capacity test), ensuring that the test subjects understand the test requirements and avoiding invalid raw data due to improper actions.

[0115] Test subjects complete the test and raw test data are collected in real time, specifically including:

[0116] The test subjects completed each physical fitness test according to the test order and rules. The data acquisition and transmission module synchronously collected the raw test data of each test item in real time to ensure the authenticity, completeness, and timeliness of the data.

[0117] Orderly testing by item: Under the guidance of staff, test takers complete the tests of each locked test item in sequence. During the test of a single item, the system monitors the test taker's actions in real time through the cheat detection unit (if any). If a violation is detected, a prompt is issued immediately, and the test taker adjusts his actions and retests to ensure that the testing process is compliant.

[0118] Scope of raw data collection: The raw data collection for each test item covers the core test values ​​and test process parameters. For example, the height and weight test collects height, weight, and BMI index; the sit-up test collects the number of valid attempts, test duration, and number of violations; the middle and long distance running test collects time, average speed, and heart rate changes; and the vital capacity test collects vital capacity in milliliters and exhalation time.

[0119] Data Acquisition Method and Synchronization: The data acquisition and transmission module adopts 2.4G wireless communication technology to collect raw test data from each test device in real time. Wireless transmission mode is preferred. If the wireless signal is interfered with (such as outdoor obstruction or multiple devices working at the same time), it will automatically switch to wired transmission mode to ensure that the data is not lost or delayed. During the acquisition process, the data is synchronously linked to the test subject's evaluation account and labeled with the corresponding test item, test time, and device number.

[0120] Data collection verification: After each project test is completed and the raw data is collected, the system automatically performs a preliminary verification of the collected data to check whether the data exceeds the reasonable range or whether there are any missing data. If abnormal data is detected, it is immediately marked and the staff is notified to confirm whether it is caused by equipment failure or test violation. If necessary, the test is retested and the data is collected again to ensure that the raw data is valid.

[0121] Raw data aggregation and transmission preparation, specifically including:

[0122] After the test subject completes all selected test items, the data acquisition and transmission module will summarize all the raw test data collected, classify and organize them according to test items, and mark the data acquisition time, acquisition method, and equipment information to form a complete list of raw test data, which will be stored synchronously in the temporary cache area. At the same time, the system will verify the completeness of the data summary to ensure that each selected test item has corresponding raw data without any missing or omitted data.

[0123] According to an embodiment of the present invention, the raw test data of each physical fitness test item are cleaned, calibrated, and normalized to obtain preprocessed test data, specifically including:

[0124] Obtain the raw test data for each physical fitness test item, and extract the core attribute information of the raw test data. The core attribute information includes data collection time, collection device number, transmission method, test item type and data unit.

[0125] According to the preset invalid data judgment rules, the raw data of each physical fitness test item is screened one by one to remove invalid data;

[0126] Set a security test threshold, and analyze the original data after removing invalid data according to the security test threshold. If the original data is greater than the security test threshold, it is judged as abnormal data and removed to obtain clean data.

[0127] The cleaning data is calibrated according to a preset data range to obtain calibrated data.

[0128] A linear normalization algorithm is used, with a preset normalization target range of [0, 1], to normalize the calibrated data and obtain preprocessed test data.

[0129] It should be noted that because the raw data units and numerical ranges of different physical fitness test items vary greatly (e.g., height is in cm, vital capacity is in ml, and sit-ups are in repetitions), they cannot be directly used for comprehensive evaluation calculations. Therefore, it is necessary to normalize the calibrated valid data, converting data from different dimensions and units into standardized data within a unified range. The specific execution process is as follows:

[0130] Normalization Algorithm and Range Setting: The system adopts a linear normalization algorithm with a preset normalization target range of [0,1] to adapt to the weighted calculation requirements of subsequent comprehensive evaluation. At the same time, based on the scoring standards and data distribution characteristics of different test items, normalization benchmark values ​​(minimum and maximum values) are set for each test item. For example, the normalization benchmark values ​​for height are 1.0m (minimum) and 2.2m (maximum), and the normalization benchmark values ​​for lung capacity are 1000ml (minimum) and 8000ml (maximum). The benchmark values ​​can be flexibly adjusted according to the evaluation scenario and age group.

[0131] Normalization calculation by item: According to the preset normalization formula, the calibrated data of each test item is calculated. The normalization formula is: Normalized data = (calibrated data - minimum baseline value of the item) ÷ (maximum baseline value of the item - minimum baseline value of the item); If the calibrated data is less than the minimum baseline value, the normalized data is 0; if it is greater than the maximum baseline value, the normalized data is 1; For example: If a test subject's calibrated lung capacity is 4000ml, the minimum baseline value is 1000ml, and the maximum baseline value is 8000ml, the normalized data = (4000-1000) ÷ (8000-1000) ≈ 0.43;

[0132] Normalized data verification: After normalization is completed, the system automatically verifies all normalized data to check whether the data are all within the range of [0,1] and whether there are any calculation errors. At the same time, it correlates the normalized data with the calibrated data to ensure that the normalized data and the calibrated data correspond one-to-one, without mismatch or omission. If any abnormality is found, the system automatically recalculates the normalized data.

[0133] Preprocessing test data generation: After all data has been cleaned, calibrated, and normalized, the system integrates the normalized data with the corresponding calibrated data, test item information, and test subject evaluation account information to generate a standardized preprocessing test data list. The data processing status is marked as completed, and the data is synchronously stored in the test subject evaluation account. This data serves as the core data basis for subsequent single-item score calculation and multi-item integrated comprehensive evaluation, and then enters the single-item score calculation stage.

[0134] According to an embodiment of the present invention, preset scoring standard information is obtained, and preprocessed test data is evaluated and processed according to the scoring standard information to obtain individual scores for each test item, specifically including:

[0135] Multiple rating standard packages are obtained from a pre-set rating database. The multiple rating standard packages are matched with the test subject's identity information and the final evaluation requirements to obtain the matching degree.

[0136] Determine whether the matching degree is greater than or equal to the set matching degree threshold;

[0137] If the score is greater than or equal to the set matching threshold, a matching score package is obtained.

[0138] The matching scoring criteria package is standardized and parsed to extract the core scoring rules for each test item;

[0139] Each test item in the preprocessed test data is evaluated according to the core scoring rules, and a score value is generated for each test item.

[0140] The score of each test item is optimized based on the scoring threshold range to obtain the individual score of the test item.

[0141] According to an embodiment of the present invention, a multi-item fusion algorithm is used to perform fusion analysis on the individual scores of all test items to obtain the comprehensive physical fitness assessment result of the test subject, specifically including:

[0142] Weight coefficients are set for different test items according to the preset weight allocation rules;

[0143] The different test items are weighted according to the set weighting coefficients to obtain the weighted individual scores;

[0144] The weighted individual scores are fused using a weighted fusion algorithm to obtain preliminary fused data.

[0145] The initial fused data was subjected to validity verification analysis to obtain the verification results.

[0146] If the verification result meets the set verification conditions, the comprehensive physical fitness assessment result of the test subject can be obtained based on the verification result.

[0147] If the verification result does not meet the set verification conditions, the weighting coefficient will be adjusted.

[0148] Secondly, embodiments of this application provide an intelligent physical fitness assessment system based on multi-item fusion. The system includes a memory and a processor. The memory includes a program for an intelligent physical fitness assessment method based on multi-item fusion. When the program for the intelligent physical fitness assessment method based on multi-item fusion is executed by the processor, it performs the following steps:

[0149] Collect the test subject's identity information, verify the test subject's identity information according to the pre-stored identity database, and bind the successfully verified test subject's identity information to the test account to obtain the test subject's evaluation account;

[0150] Obtain assessment needs information, match at least two physical fitness test items based on the assessment needs information, and collect raw test data for each physical fitness test item;

[0151] The raw test data of each physical fitness test item are cleaned, calibrated and normalized to obtain preprocessed test data.

[0152] Obtain the preset scoring criteria information, evaluate the preprocessed test data according to the scoring criteria information, and obtain the individual scores of the test items;

[0153] The individual scores of all test items are analyzed by a multi-item fusion algorithm to obtain the comprehensive physical fitness assessment results of the test takers. The comprehensive physical fitness assessment results of the test takers are then transmitted to the test takers' assessment accounts in real time.

[0154] According to an embodiment of the present invention, the method for obtaining the test subject's assessment account is as follows:

[0155] Collect the test subject's identity information, which includes the test subject's unique number, name, gender, age, and test permissions;

[0156] The test subject's identity information was standardized by unifying field encoding and filling in missing identifiers to obtain standardized identity information.

[0157] Extract standard matching fields from the pre-stored identity database, including unique ID, name, gender, age, and compliance test status, to obtain baseline data;

[0158] The standardized identity information is verified against the benchmark data to check whether the identity information conforms to the set standard information;

[0159] If the information meets the set criteria, the test subject's unique number will be linked to the test account to obtain the test subject's evaluation account.

[0160] According to an embodiment of the present invention, assessment requirement information is obtained, at least two physical fitness test items are matched based on the assessment requirement information, and raw test data for each physical fitness test item are collected, specifically including:

[0161] Obtain the test subject's identity information and the current test scenario information, and match basic assessment requirements information based on the test subject's identity information and the current test scenario information;

[0162] Obtain the test subject's specific testing needs information, integrate and standardize the basic assessment needs information and specific testing needs information to obtain the final assessment needs information;

[0163] The final evaluation requirements are analyzed based on the preset project matching rules, and suitable candidate test projects are selected.

[0164] Obtain the status information of the testing equipment and the physical condition information of the test subjects, replace or change the candidate test items, and obtain the final list of physical fitness test items.

[0165] The test subjects were tested according to the final list of physical fitness test items, and the raw test data for each physical fitness test item was obtained.

[0166] A third aspect of the present invention provides a computer-readable storage medium including a program for an intelligent physical fitness assessment method based on multi-item fusion, wherein when the program is executed by a processor, it implements the steps of the intelligent physical fitness assessment method based on multi-item fusion as described above.

[0167] This invention discloses an intelligent physical fitness assessment method, system, and medium based on multi-item fusion. It collects the test subject's identity information, verifies the identity information against a pre-stored identity database, and binds the verified identity information to a test account to obtain the test subject's assessment account. It then acquires assessment requirement information, matches at least two physical fitness test items based on this information, and collects raw test data for each item. The raw test data for each item is then cleaned, calibrated, and normalized to obtain preprocessed test data. Pre-set scoring criteria information is acquired, and the preprocessed test data is evaluated for each test item based on these criteria to obtain individual scores for each test item. Finally, a multi-item fusion algorithm is used to analyze the individual scores of all test items to obtain the test subject's comprehensive physical fitness assessment result, which is then transmitted to the test subject's assessment account in real time. By using identity recognition to adapt to the usage needs of different test groups and integrating multiple physical fitness test items, it achieves multi-dimensional and comprehensive physical fitness assessment, adapting to various scenarios of national physical fitness testing and improving assessment accuracy.

[0168] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0169] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0170] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0171] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0172] Alternatively, if the integrated units of the present invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

Claims

1. An agent ability evaluation method based on multi-project fusion, characterized in that, include: Collect the test subject's identity information, verify the test subject's identity information according to the pre-stored identity database, and bind the successfully verified test subject's identity information to the test account to obtain the test subject's evaluation account; Obtain assessment needs information, match at least two physical fitness test items based on the assessment needs information, and collect raw test data for each physical fitness test item; The raw test data of each physical fitness test item are cleaned, calibrated and normalized to obtain preprocessed test data. Obtain the preset scoring criteria information, evaluate the preprocessed test data according to the scoring criteria information, and obtain the individual scores of the test items; The individual scores of all test items are analyzed by a multi-item fusion algorithm to obtain the comprehensive physical fitness assessment results of the test takers. The comprehensive physical fitness assessment results of the test takers are then transmitted to the test takers' assessment accounts in real time. 2.The multi-project fusion based agent ability evaluation method according to claim 1, characterized in that, The method for obtaining a test subject's assessment account is as follows: Collect the test subject's identity information, which includes the test subject's unique number, name, gender, age, and test permissions; The test subject's identity information was standardized by unifying field encoding and filling in missing identifiers to obtain standardized identity information. Extract standard matching fields from the pre-stored identity database, including unique ID, name, gender, age, and compliance test status, to obtain baseline data; The standardized identity information is verified against the benchmark data to check whether the identity information conforms to the set standard information; If the information meets the set criteria, the test subject's unique number will be linked to the test account to obtain the test subject's evaluation account. 3.The multi-project fusion based agent ability evaluation method according to claim 2, characterized in that, Obtain assessment requirements information, match at least two physical fitness test items based on the assessment requirements information, and collect raw test data for each physical fitness test item, specifically including: Obtain the test subject's identity information and the current test scenario information, and match basic assessment requirements information based on the test subject's identity information and the current test scenario information; Obtain the test subject's specific testing needs information, integrate and standardize the basic assessment needs information and specific testing needs information to obtain the final assessment needs information; The final evaluation requirements are analyzed based on the preset project matching rules, and suitable candidate test projects are selected. Obtain the status information of the testing equipment and the physical condition information of the test subjects, replace or change the candidate test items, and obtain the final list of physical fitness test items. The test subjects were tested according to the final list of physical fitness test items, and the raw test data for each physical fitness test item was obtained.

4. The intelligent physical fitness assessment method based on multi-item fusion according to claim 3, characterized in that, The raw test data for each physical fitness test item are cleaned, calibrated, and normalized to obtain preprocessed test data, specifically including: Obtain the raw test data for each physical fitness test item, and extract the core attribute information of the raw test data. The core attribute information includes data acquisition time, acquisition device number, transmission method, test item type and data unit. According to the preset invalid data judgment rules, the raw data of each physical fitness test item is screened one by one to remove invalid data; Set a security test threshold, and analyze the original data after removing invalid data according to the security test threshold. If the original data is greater than the security test threshold, it is judged as abnormal data and removed to obtain clean data. The cleaning data is calibrated according to a preset data range to obtain calibrated data. A linear normalization algorithm is used, with a preset normalization target range of [0, 1], to normalize the calibrated data and obtain preprocessed test data.

5. The intelligent physical fitness assessment method based on multi-item fusion according to claim 4, characterized in that, Obtain the preset scoring criteria information, evaluate the preprocessed test data according to the scoring criteria information, and obtain the individual scores of the test items, specifically including: Multiple rating standard packages are obtained from a pre-set rating database. The multiple rating standard packages are matched with the test subject's identity information and the final evaluation requirements to obtain the matching degree. Determine whether the matching degree is greater than or equal to the set matching degree threshold; If the score is greater than or equal to the set matching threshold, a matching score package is obtained. The matching scoring criteria package is standardized and parsed to extract the core scoring rules for each test item; Each test item in the preprocessed test data is evaluated according to the core scoring rules, and a score value is generated for each test item. The score of each test item is optimized based on the scoring threshold range to obtain the individual score of the test item.

6. The intelligent physical fitness assessment method based on multi-item fusion according to claim 5, characterized in that, Based on a multi-item fusion algorithm, the individual scores of all test items are fused and analyzed to obtain the test taker's comprehensive physical fitness assessment results, which include: Weight coefficients are set for different test items according to the preset weight allocation rules; The different test items are weighted according to the set weighting coefficients to obtain the weighted individual scores; The weighted individual scores are fused using a weighted fusion algorithm to obtain preliminary fused data. The initial fused data was subjected to validity verification analysis to obtain the verification results. If the verification result meets the set verification conditions, the comprehensive physical fitness assessment result of the test subject can be obtained based on the verification result. If the verification result does not meet the set verification conditions, the weighting coefficient will be adjusted.

7. An intelligent physical fitness assessment system based on multi-item fusion, characterized in that, The system includes a memory and a processor. The memory contains a program for an intelligent physical fitness assessment method based on multi-item fusion. When the program for the intelligent physical fitness assessment method based on multi-item fusion is executed by the processor, it performs the following steps: Collect the test subject's identity information, verify the test subject's identity information according to the pre-stored identity database, and bind the successfully verified test subject's identity information to the test account to obtain the test subject's evaluation account; Obtain assessment needs information, match at least two physical fitness test items based on the assessment needs information, and collect raw test data for each physical fitness test item; The raw test data of each physical fitness test item are cleaned, calibrated and normalized to obtain preprocessed test data. Obtain the preset scoring criteria information, evaluate the preprocessed test data according to the scoring criteria information, and obtain the individual scores of the test items; The individual scores of all test items are analyzed by a multi-item fusion algorithm to obtain the comprehensive physical fitness assessment results of the test takers. The comprehensive physical fitness assessment results of the test takers are then transmitted to the test takers' assessment accounts in real time.

8. The intelligent physical fitness assessment system based on multi-item fusion according to claim 7, characterized in that, The method for obtaining a test subject's assessment account is as follows: Collect the test subject's identity information, which includes the test subject's unique number, name, gender, age, and test permissions; The test subject's identity information was standardized by unifying field encoding and filling in missing identifiers to obtain standardized identity information. Extract standard matching fields from the pre-stored identity database, including unique ID, name, gender, age, and compliance test status, to obtain baseline data; The standardized identity information is verified against the benchmark data to check whether the identity information conforms to the set standard information; If the information meets the set criteria, the test subject's unique number will be linked to the test account to obtain the test subject's evaluation account.

9. The intelligent physical fitness assessment system based on multi-item fusion according to claim 8, characterized in that, Obtain assessment requirements information, match at least two physical fitness test items based on the assessment requirements information, and collect raw test data for each physical fitness test item, specifically including: Obtain the test subject's identity information and the current test scenario information, and match basic assessment requirements information based on the test subject's identity information and the current test scenario information; Obtain the test subject's specific testing needs information, integrate and standardize the basic assessment needs information and specific testing needs information to obtain the final assessment needs information; The final evaluation requirements are analyzed based on the preset project matching rules, and suitable candidate test projects are selected. Obtain the status information of the testing equipment and the physical condition information of the test subjects, replace or change the candidate test items, and obtain the final list of physical fitness test items. The test subjects were tested according to the final list of physical fitness test items, and the raw test data for each physical fitness test item was obtained.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a program for an intelligent physical fitness assessment method based on multi-item fusion. When the program is executed by a processor, it implements the steps of the intelligent physical fitness assessment method based on multi-item fusion as described in any one of claims 1 to 6.

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