An intelligent electronic vaccination certificate information management system based on a cloud platform

Abstract

The present application relates to the field of intelligent medical treatment and biological product internet of things monitoring control technology, in particular to an intelligent electronic vaccination certificate information management system based on a cloud platform, comprising a multi-dimensional heterogeneous state perception aggregation unit for structuring the collected data and outputting a to-be-verified feature vector group; a thermodynamic potency dynamic attenuation evaluation unit for calculating the cumulative thermal exposure of the vaccine during transportation and generating a biological potency integrity rating; an immune suitability and timing logic analysis unit for generating an individual vaccination risk index; an immune efficacy fuse decision unit for generating a physical blocking instruction and sending the physical blocking instruction to a front-end vaccination scanning terminal to lock data entry permissions; an intelligent feedback and adaptive optimization unit for collecting post-vaccination immune efficacy data and vaccination safety data and performing adaptive correction; the present application solves the problem of traditional effective period inspection being unable to identify cold chain breakage leading to vaccine inactivation.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of intelligent medical treatment and biological product internet of things monitoring and control technology, and particularly relates to an intelligent electronic vaccination certificate information management system based on a cloud platform. BACKGROUND

[0002] With the continuous improvement of the public health service system, the informatization management degree of vaccination is increasingly improved; this management mode involves the traceability of the whole life cycle of vaccines and the dynamic maintenance of the health archives of the vaccinated;

[0003] At present, for the safety management of vaccination, it is usually dependent on checking the physical expiration date on the vaccine packaging, and the health condition of the vaccinated is pre-checked by medical staff through oral inquiry or consulting archives; however, the traditional expiration date checking method cannot identify the biological activity attenuation of the vaccine caused by temperature fluctuation in the cold chain transportation process, and it is easy to cause the risk that the hidden vaccine that is not expired on the account but has lost biological activity is injected into the human body; at the same time, the artificial pre-checking mode is difficult to accurately quantify the complex vaccination timing logic and physiological contraindications, and the existing information system is mostly a passive data recording tool, lacking real-time intervention ability for on-site vaccination operation, so that high-risk vaccination behaviors cannot be effectively intercepted in the physical layer; therefore, how to realize the accurate evaluation and active control of the vaccine biological titer and individual vaccination risk becomes a problem to be solved in the field. SUMMARY

[0004] To solve the above technical problems, the present application provides an intelligent electronic vaccination certificate information management system based on a cloud platform, and specifically, the technical scheme of the present application comprises:

[0005] A multi-dimensional heterogeneous state perception aggregation unit is used to collect temperature-time sequence data of vaccine cold chain monitoring equipment through an internet of things interface, collect electronic health archives and historical vaccination time stamps of the vaccinated through an encryption interface, and perform structured processing on the collected data to output a to-be-verified feature vector group;

[0006] A thermodynamic titer dynamic attenuation evaluation unit is used to calculate the cumulative heat exposure of the vaccine in the transportation process according to the temperature-time sequence data, deduct the theoretical titer based on the cumulative heat exposure, and generate a biological titer integrity rating;

[0007] An immune suitability and timing logic analysis unit is used to perform feature collision on the electronic health archives and a medical contraindication knowledge base, calculate the compliance of the vaccination time interval in combination with an immune program algorithm, and generate an individual vaccination risk index;

[0008] The immune efficacy circuit breaker decision unit is used to perform logic and operation on the biological potency integrity rating and the individual vaccination risk index. When it is determined that the conditions of high activity and low risk are not met at the same time, the intelligent circuit breaker mechanism is triggered to generate a physical blocking command and send the physical blocking command to the front-end vaccination scanning terminal to lock the data entry permission.

[0009] The intelligent feedback and adaptive optimization unit is used to collect post-vaccination immune efficacy data and vaccination safety data, and adaptively correct the effective efficacy judgment threshold of the thermodynamic efficacy dynamic decay assessment unit and the contraindication matching weight of the immune suitability and temporal logic parsing unit based on the correlation analysis algorithm.

[0010] Preferably, the thermodynamic potency dynamic decay assessment unit generates a biological potency integrity rating, including:

[0011] A thermodynamic decay model is constructed based on the principles of the Arrhenius equation;

[0012] The cumulative heat exposure is obtained by integrating the temperature-time series data.

[0013] Calculate the expected residual titer and compare the expected residual titer with the effective titer threshold required to elicit an effective immune response;

[0014] When the expected remaining potency is higher than the effective potency determination threshold, the biological potency integrity rating is determined as a high-activity region;

[0015] When the expected remaining potency is not higher than the effective potency determination threshold, the biological potency integrity rating is determined as an inactivation zone or a critical zone.

[0016] Preferably, the immunization suitability and temporal logic parsing unit generates an individual vaccination risk index, including:

[0017] Based on the feature collision results between the electronic health record and the medical contraindication knowledge base, the contraindication matching weight is determined;

[0018] Calculate the difference between the current timestamp and the previous dose time in the historical vaccination timestamps, and determine the time sequence deviation based on the degree of deviation of the difference from the optimal vaccination interval days;

[0019] The individual vaccination risk index is obtained by weighting and summing the contraindication matching weights and the time series deviation.

[0020] Preferably, the immune efficacy circuit breaker decision unit triggers an intelligent circuit breaker mechanism, including:

[0021] Determine whether the biopotency integrity rating is within the high-activity region;

[0022] Determine whether the individual's vaccination risk index is lower than a preset safety threshold;

[0023] The physical blocking instruction is generated when the biopotency integrity rating is not in the high activity zone, or when the individual vaccination risk index is not lower than the safety threshold.

[0024] Preferably, the intelligent feedback and adaptive optimization unit performs adaptive correction, including:

[0025] Monitoring the antibody compliance rate of vaccines under specific cold chain routes;

[0026] When the antibody target achievement rate is lower than expected, it is identified as an optimistic assessment of the cumulative damage in the thermodynamic decay model.

[0027] Increase the effective valence determination threshold in the thermodynamic valence dynamic decay assessment unit to tighten the admission criteria for the high-activity region.

[0028] Preferably, the intelligent feedback and adaptive optimization unit performs adaptive correction, and further includes:

[0029] Analyze the statistical correlation between specific health record characteristics and reports of suspected adverse reactions following immunization;

[0030] When the statistical correlation shows a high correlation, a new risk warning rule is generated; the matching weight of the contraindications in the corresponding features of the immune suitability and the time-series logic parsing unit is increased.

[0031] Preferably, the multidimensional heterogeneous state-aware aggregation unit outputs a set of feature vectors to be verified, including:

[0032] The temperature-time series data and the electronic health record are cleaned.

[0033] The cleaned data is standardized to form the feature vector group to be verified, and the feature vector group to be verified is used as the basis for calculation of the subsequent evaluation unit.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] 1. This invention constructs a thermodynamic decay model and calculates the cumulative heat exposure based on temperature time series data during transportation, thereby accurately generating a biological potency integrity rating. This solves the problem that traditional expiration date inspection cannot identify vaccine inactivation caused by cold chain breakage, effectively identifying potentially dangerous vaccines that are not expired on paper but have biologically failed, ensuring that every released vaccine has real immune protection.

[0036] 2. This invention utilizes an immune suitability and timing logic parsing unit to perform feature collision between electronic health records and a contraindication knowledge base, and calculates an individual vaccination risk index by combining the vaccination time interval. This method overcomes the defects of missed and misjudgment commonly found in manual pre-screening, and realizes quantitative risk control of the recipient's physiological state and vaccination timing, effectively avoiding vaccination accidents caused by physiological contraindications or timing violations.

[0037] 3. This invention establishes an immune efficacy circuit breaker decision mechanism, which unlocks the system only when the vaccine is highly active and the individual is at low risk; otherwise, it directly generates a physical blocking command to lock the vaccination terminal. This mechanism transforms the hidden risk into explicit operational permission control, enabling the system to shift from passive recording to active defense, preventing ineffective vaccination and high-risk vaccination behaviors, and ensuring medical safety.

[0038] 4. This invention introduces an intelligent feedback and adaptive optimization mechanism. By collecting data on antibody achievement rate and adverse reactions after vaccination, it dynamically corrects the titer determination threshold and contraindication matching weight. This gives the system the ability to self-evolve, prevents evaluation deviations caused by the solidification of model parameters, and ensures that the system can still maintain high-precision risk assessment and control capabilities under changes in storage and transportation environment or adjustments to vaccine process. Attached Figure Description

[0039] The present invention will be further explained below with reference to the accompanying drawings and embodiments:

[0040] Figure 1 This is a structural diagram of the system of the present invention. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0042] Example 1:

[0043] Please see Figure 1 An intelligent electronic vaccination certificate information management system based on a cloud platform includes:

[0044] The multidimensional heterogeneous state perception aggregation unit is used to collect temperature-time series data from vaccine cold chain monitoring equipment through an IoT interface, collect electronic health records and historical vaccination timestamps of vaccine recipients through an encrypted interface, and perform structured processing on the collected data to output a set of feature vectors to be verified.

[0045] The thermodynamic potency dynamic decay assessment unit is used to calculate the cumulative heat exposure of the vaccine during transportation based on temperature-time series data, and generate a biological potency integrity rating by subtracting the theoretical potency based on the cumulative heat exposure.

[0046] The immunization suitability and timing logic parsing unit is used to perform feature collision between electronic health records and medical contraindication knowledge base, combine immunization program algorithm to calculate the compliance of vaccination time interval, and generate individual vaccination risk index;

[0047] The immune efficacy circuit breaker decision unit is used to perform logic and calculations on the integrity rating of biological potency and the individual vaccination risk index. When it is determined that the conditions of high activity and low risk are not met at the same time, the intelligent circuit breaker mechanism is triggered to generate a physical blocking instruction and send the instruction to the front-end vaccination scanning terminal to freeze the interaction permissions of the data entry interface.

[0048] The intelligent feedback and adaptive optimization unit is used to collect post-vaccination immune efficacy data and vaccination safety data, and adaptively corrects the effective potency determination threshold of the thermodynamic potency dynamic decay assessment unit and the contraindication matching weight of the immune suitability and temporal logic parsing unit based on the correlation analysis algorithm.

[0049] In the system architecture of this embodiment, the cloud-based intelligent electronic vaccination certificate information management system is configured as a closed-loop control environment that spans physical cold chain monitoring and biological logic verification. The system deploys a multi-dimensional heterogeneous state perception aggregation unit as the logical entry point for all-domain data. Its core design intent is to break the data silo effect between people and vaccines in traditional systems. When performing data acquisition tasks, this unit establishes a real-time communication link with the temperature control probes of cold chain transportation equipment or storage terminals through an IoT interface, acquiring temperature-time series data of the entire lifecycle of the vaccine from factory to vaccination point using high-frequency sampling. Simultaneously, the unit reads the electronic regulatory code of the vaccine to be administered through a barcode scanner, parsing out the vaccine type, production batch number, and manufacturer information to anchor the biological parameters required for subsequent calculations. Simultaneously, the unit retrieves the recipient's electronic health record through an encrypted medical data interaction standard interface, extracting key fields such as allergy history, past medical history, and historical vaccination timestamps. The aforementioned multi-source heterogeneous data undergoes cleaning and structured mapping processing within this unit, transforming it into a standardized set of feature vectors to be verified, and then transmits it to downstream units.

[0050] Based on a parallel processing architecture, the thermodynamic potency dynamic decay assessment unit and the immune suitability and temporal logic parsing unit independently assess the physical state of vaccine bioactivity and the physiological suitability of the recipient, respectively, for the aforementioned feature vectors. The output signals generated by the assessment converge to the immune efficacy circuit breaker decision unit, which performs rigorous logic and operations, generating a release signal only when both conditions are met: the vaccine is highly active and the individual is in a low-risk state. Conversely, if either condition is not met, the unit immediately triggers an intelligent circuit breaker mechanism, generating a physical blocking command with hardware control authority. This command is not a simple information prompt, but directly acts on the underlying control interface of the front-end vaccination scanning terminal, forcibly locking the data entry interface, thereby implementing interception at the physical operation level. The intelligent feedback and adaptive optimization unit constructs a long-term evolution mechanism, continuously collecting antibody levels and adverse reaction reports after vaccination, and back-correcting the judgment thresholds and weights of the aforementioned assessment units, establishing a technical path for the system's judgment logic to dynamically evolve with the actual application effect.

[0051] This embodiment establishes a pre-emptive physical blocking mechanism for vaccine administration risks through the collaborative operation of the aforementioned units. The system transcends the passive recording attribute of traditional databases and transforms into an active risk controller. By converting the hidden risks of cold chain failure and complex physiological contraindications into explicit operational access control, it fundamentally avoids medical accidents caused by the injection of ineffective vaccines into the human body or vaccination for contraindications. The adaptive feedback mechanism ensures that the system model can self-correct as the virus mutates or the vaccine process is adjusted, guaranteeing the long-term accuracy and robustness of the risk control strategy in complex environments.

[0052] Example 2:

[0053] The thermodynamic potency dynamic decay assessment unit generates a biopotency integrity rating, including: constructing a thermodynamic decay model based on the Arrhenius equation; performing integral calculations on temperature-time series data to obtain the cumulative heat exposure; calculating the expected residual potency and comparing the expected residual potency with the effective potency threshold required to trigger an effective immune response; when the expected residual potency is higher than the effective potency threshold, the biopotency integrity rating is determined as a high-activity zone; when the expected residual potency is not higher than the effective potency threshold, the biopotency integrity rating is determined as an inactivation zone or a critical zone.

[0054] In this embodiment, the core function of the thermodynamic potency dynamic decay assessment unit is to transform invisible temperature fluctuations into quantifiable bioactivity indicators. The unit has a built-in thermodynamic decay model based on the Arrhenius principle. The design of this model does not rely on a single time dimension, but focuses on the nonlinear cumulative effect of temperature and time on the degradation rate of biomolecules.

[0055] During the evaluation process, this unit receives continuous temperature-time series data from the sensing unit. Using a numerical integration algorithm, it accumulates the impact of temperature on the reaction rate at discrete time points to calculate the cumulative heat exposure of the vaccine throughout the entire logistics chain. Based on this cumulative heat exposure, the system deducts the corresponding loss value from the theoretical initial potency of the vaccine at the time of manufacture to deduce the current expected remaining potency. To achieve binary decision-making, the system introduces an effective potency threshold, which is the minimum antigen content standard determined based on clinical trial data to induce an effective immune response in the human body. This unit compares the calculated expected remaining potency with this threshold: if the expected remaining potency is higher than the threshold, the system determines that the vaccine is in a high-activity zone, indicating that its biological integrity meets the vaccination requirements; if the value is not higher than the threshold, it is determined to be in an inactivated zone or a critical zone, indicating that it has lost its vaccination value.

[0056] The technical solution of this embodiment systematically solves the blind spot of relying solely on the expiration date to judge vaccine quality in traditional management. Given that vaccines may still become inactive due to cold chain breakage even within their expiration date, this embodiment accurately identifies those potentially dangerous vaccines that are not expired in terms of data but have become biologically ineffective by calculating thermodynamic cumulative damage in real time, ensuring that every released vaccine has real immune protection.

[0057] Example 3:

[0058] The immunization suitability and temporal logic parsing unit generates an individual vaccination risk index, including: determining the contraindication matching weight and contraindication level based on the feature collision results between the electronic health record and the medical contraindication knowledge base; if the contraindication level is absolute, directly setting the individual vaccination risk index to the highest risk value; if it is relative, calculating the difference between the current timestamp and the previous dose time in the historical vaccination timestamps, and determining the temporal deviation degree based on the degree of deviation of the difference from the optimal vaccination interval; and performing a weighted summation operation on the contraindication matching weight and the temporal deviation degree to obtain the individual vaccination risk index.

[0059] In this embodiment, the immune suitability and temporal logic parsing unit is dedicated to quantitative risk control of the recipient's physiological state. After the operation is started, the unit performs a feature collision operation, comparing the key fields in the recipient's electronic health record with a pre-set medical contraindication knowledge base item by item. Based on the degree of consistency between the comparison results and medical guidelines, the system assigns differentiated contraindication matching weights. In this quantitative system, features of symptoms that are in the acute phase are assigned high weight values, while mild historical allergy features are assigned low weight values.

[0060] In parallel, this unit performs timing logic verification, reads historical vaccination timestamps, and calculates the time difference between the current time and the previous dose. The system compares this difference with the optimal vaccination interval specified in the vaccine's instructions to calculate the timing deviation. The calculation logic for this deviation is set as follows: when the interval is less than the minimum interval limit, the deviation increases exponentially; when the interval is within the recommended range, the deviation approaches zero. The specific quantitative calculation formula is: Let the current actual interval be... The minimum interval is limited to Timing deviation The calculation model is ,in Basic risk coefficient, The decay rate constant, in units of: ;when At that time, direct assignment This unit employs an algorithm combining hierarchical verification and weighted summation. The system prioritizes identifying high-risk contraindication features, and upon a match, executes a logic short-circuit to output the highest risk index. Only when no absolute contraindication is matched does the system calculate a dimensionless comprehensive value, namely the individual vaccination risk index, by combining the relative contraindication matching weights and the temporal deviation. This index intuitively and quantitatively reflects the overall risk level of administering vaccination to this specific individual at the current moment.

[0061] This embodiment overcomes the common defects of missed and misjudgment in manual pre-screening by introducing a multi-dimensional quantitative evaluation system. It not only prevents explicit physiological contraindications but also accurately identifies implicit temporal violations. Through quantitative risk indices, the system can perform standardized risk assessments on complex individual conditions, avoiding vaccination accidents caused by the failure to identify immediate risks of physiological contraindications.

[0062] Example 4:

[0063] The immune efficacy circuit breaker decision unit triggers an intelligent circuit breaker mechanism, including: determining whether the biopotency integrity rating is in the high activity zone; determining whether the individual vaccination risk index is lower than the preset safety threshold; and generating a physical blocking instruction when the biopotency integrity rating is not in the high activity zone or the individual vaccination risk index is not lower than the safety threshold.

[0064] In this embodiment, the immune efficacy circuit breaker decision unit acts as the core control center of the system and executes strict double negation logic. This unit receives two key control parameters transmitted from upstream: the biopotency integrity rating and the individual vaccination risk index. In the decision logic, this unit has a preset safety threshold determined based on medical ethics and public health safety standards.

[0065] In terms of processing logic, this unit concurrently executes two judgments: verifying whether the vaccine has been rated as a high-activity area; and verifying whether the individual's vaccination risk index is strictly lower than the preset safety threshold. The system will only unlock when both conditions are met simultaneously. If the biopotency integrity rating is not in the high-activity area, or the individual's vaccination risk index is higher than or equal to the safety threshold, this unit will immediately trigger the intelligent circuit breaker mechanism. The physical blocking command generated by this mechanism is sent directly to the barcode scanning terminal at the vaccination site as a kind of underlying system interruption signal, forcibly suspending its data entry interface interaction function, so that medical staff cannot complete the entry of vaccination records, thereby forcibly terminating the vaccination service in terms of operation process.

[0066] This embodiment achieves a radical solution to the disconnect between digital success and biological failure through logical coupling. Unlike traditional systems that only record data without intervening in operations, this embodiment directly maps risk judgments to physical blocking commands, ensuring that no high-risk or invalid vaccination can bypass the system's monitoring and be successfully recorded, thereby eliminating the occurrence of invalid and high-risk vaccinations at the source.

[0067] Example 5:

[0068] The intelligent feedback and adaptive optimization unit performs adaptive corrections, including: monitoring the vaccine antibody achievement rate under specific cold chain routes; identifying the cumulative damage assessment of the thermodynamic decay model as biased towards optimism when the antibody achievement rate is lower than expected; and increasing the effective potency determination threshold in the thermodynamic potency dynamic decay assessment unit to tighten the admission criteria for high-activity regions.

[0069] In this embodiment, the intelligent feedback and adaptive optimization unit constructs an efficacy correction channel for the vaccine efficacy evaluation model; the system continuously monitors and aggregates the antibody compliance rate of vaccines under specific batches or specific cold chain transportation routes. This indicator is defined as the proportion of the population that produces sufficient antibody titers after vaccination to the total vaccinated population; when the monitoring system finds that the antibody compliance rate of a certain set of data is significantly lower than the expected epidemiological standard, the system logic infers that the original thermodynamic model is too optimistic in assessing thermal damage under the current environment, causing some vaccines in a critical state to be incorrectly judged as qualified;

[0070] In response to this deviation, the unit performs a strategic adjustment: automatically increasing the effective potency threshold used to determine pass or fail in the thermodynamic potency dynamic decay assessment unit; the increase follows a proportional feedback control law: calculating the expected antibody target achievement rate. Compliance rate with actual monitoring The difference Set a new judgment threshold ,in The current threshold, The preset adjustment gain coefficient is used to convert the percentage difference into potency units; this adjustment essentially tightens the admission criteria for the high-activity region, requiring vaccines to retain a higher theoretical potency in order to pass the validation, thereby offsetting model bias by increasing the safety redundancy.

[0071] This embodiment endows the system with the ability to self-evolve; through a feedback loop based on real-world immunization effect data, the system can dynamically correct model biases and prevent insufficient assessment of vaccine attrition under specific environments due to the solidification of model parameters, thereby continuously improving the accuracy and reliability of vaccine potency assessment.

[0072] Example 6:

[0073] The intelligent feedback and adaptive optimization unit performs adaptive correction, and also includes: analyzing the statistical correlation between specific health record features and suspected adverse reaction reports after vaccination; generating new risk warning rules when the statistical correlation is high; and increasing the contraindication matching weight of the corresponding features in the immune suitability and temporal logic parsing unit.

[0074] In this embodiment, the intelligent feedback and adaptive optimization unit constructs a safety correction channel for the individual risk assessment model; the system uses a big data correlation analysis algorithm to continuously scan the correlation matrix between the characteristics of the recipient's electronic health record and the suspected adverse reaction reports after vaccination; in a specific analysis scenario, if the system identifies a group of people with a history of taking specific medications at intervals of a specific number of days, and their rash incidence rate is statistically significantly higher than that of the baseline group, then it is determined that there is a high statistical correlation between the two; the determination of high statistical correlation must simultaneously meet the following two quantitative indicators: the p-value calculated by the chi-square test of the two groups of data is less than 0.05; the calculated odds ratio is greater than the preset risk association threshold, for example, OR>2.0;

[0075] Once this correlation is confirmed, the unit immediately generates a new risk warning rule and sends a parameter update instruction to the immunization suitability and temporal logic parsing unit, significantly increasing the contraindication matching weight of this specific feature or combination of features in the evaluation model; this means that in future evaluations, vaccine recipients with the same features will be calculated with a higher risk index, making it easier to reach the circuit breaker threshold.

[0076] This embodiment transforms the system's contraindication knowledge base from a static textbook into a dynamically updated clinical experience base. The system can keenly capture subtle signals that have not yet been explicitly included in medical guidelines but have shown risks in actual vaccination, and quickly transform them into the system's risk control rules to maximize the safety of vaccine recipients.

[0077] Example 7:

[0078] The multidimensional heterogeneous state perception aggregation unit outputs a set of feature vectors to be verified, including: cleaning the temperature-time series data and electronic health records; standardizing the cleaned data to form a set of feature vectors to be verified, and using the set of feature vectors to be verified as the basis for calculation in subsequent evaluation units.

[0079] In this embodiment, the multidimensional heterogeneous state perception aggregation unit undertakes the key function of data standardization; considering the high complexity of the collected data sources, this unit performs strict cleaning processing and uses denoising algorithms to remove data packets with outliers, null values ​​or check bit errors generated during transmission.

[0080] After cleaning, the unit performs standardization processing. During this process, temperature sampling data at different frequencies are uniformly mapped to a standard time axis using linear interpolation. Unstructured medical record text is mapped to standard medical terminology codes using natural language processing technology. After the above processing, the raw data is encapsulated into a set of feature vectors with uniform structure and defined dimensions to be verified. This vector set, as a standardized data container, can be directly read and calculated by the subsequent thermodynamic evaluation unit and suitability analysis unit without further format conversion.

[0081] This embodiment eliminates compatibility barriers between multi-source heterogeneous data by establishing a unified data preprocessing mechanism. This not only improves the processing efficiency of subsequent computing units in the system, but more importantly, ensures the data quality of the input model and prevents erroneous risk assessment results due to chaotic data formats or noise interference, thus laying a solid data foundation for the intelligent operation of the entire system.

[0082] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A cloud-based intelligent electronic vaccination certificate information management system, characterized in that, include: The multidimensional heterogeneous state perception aggregation unit is used to collect temperature-time series data from vaccine cold chain monitoring equipment through an IoT interface, collect electronic health records and historical vaccination timestamps of vaccine recipients through an encrypted interface, and perform structured processing on the collected data to output a set of feature vectors to be verified. Thermodynamic potency dynamic decay assessment unit is used to calculate the cumulative heat exposure of the vaccine during transportation based on the temperature-time series data, and to generate a biological potency integrity rating by subtracting the theoretical potency based on the cumulative heat exposure. The immunization suitability and timing logic parsing unit is used to perform feature collision between the electronic health record and the medical contraindication knowledge base, combine the immunization procedure algorithm to calculate the compliance of the vaccination time interval, and generate an individual vaccination risk index. The immune efficacy circuit breaker decision unit is used to perform logic and operation on the biological potency integrity rating and the individual vaccination risk index. When it is determined that the conditions of high activity and low risk are not met at the same time, the intelligent circuit breaker mechanism is triggered to generate a physical blocking command and send the physical blocking command to the front-end vaccination scanning terminal to lock the data entry permission. The intelligent feedback and adaptive optimization unit is used to collect post-vaccination immune efficacy data and vaccination safety data, and adaptively correct the effective potency determination threshold of the thermodynamic potency dynamic decay assessment unit and the contraindication matching weight of the immune suitability and temporal logic parsing unit based on the correlation analysis algorithm. The immunization suitability and temporal logic parsing unit generates an individual vaccination risk index, including: determining the contraindication matching weight and contraindication level based on the feature collision results between electronic health records and the medical contraindication knowledge base; If the contraindication level is absolute, the individual vaccination risk index is set to the highest risk value. If it is relative, the difference between the current timestamp and the previous dose time in the historical vaccination timestamp is calculated. Based on the degree of deviation of the difference from the optimal vaccination interval, the time sequence deviation is determined. The contraindication matching weight and the time sequence deviation are weighted and summed to obtain the individual vaccination risk index.

2. The intelligent electronic vaccination certificate information management system based on a cloud platform according to claim 1, characterized in that, The thermodynamic potency dynamic decay assessment unit generates a biological potency integrity rating, including: A thermodynamic decay model is constructed based on the principles of the Arrhenius equation; The cumulative heat exposure is obtained by integrating the temperature-time series data. Calculate the expected residual titer and compare the expected residual titer with the effective titer threshold required to elicit an effective immune response; When the expected remaining potency is higher than the effective potency determination threshold, the biological potency integrity rating is determined as a high-activity region; When the expected remaining potency is not higher than the effective potency determination threshold, the biological potency integrity rating is determined as an inactivation zone or a critical zone.

3. The intelligent electronic vaccination certificate information management system based on a cloud platform according to claim 2, characterized in that, The immune efficacy circuit breaker decision unit triggers an intelligent circuit breaker mechanism, including: Determine whether the biopotency integrity rating is within the high-activity region; Determine whether the individual's vaccination risk index is lower than a preset safety threshold; The physical blocking instruction is generated when the biopotency integrity rating is not in the high activity zone, or when the individual vaccination risk index is not lower than the safety threshold.

4. The intelligent electronic vaccination certificate information management system based on a cloud platform according to claim 2, characterized in that, The intelligent feedback and adaptive optimization unit performs adaptive correction, including: Monitoring the antibody compliance rate of vaccines under specific cold chain routes; When the antibody target achievement rate is lower than expected, it is identified as an optimistic assessment of the cumulative damage in the thermodynamic decay model. Increase the effective valence determination threshold in the thermodynamic valence dynamic decay evaluation unit to tighten the admission criteria for the high-activity region.

5. The intelligent electronic vaccination certificate information management system based on a cloud platform according to claim 1, characterized in that, The intelligent feedback and adaptive optimization unit performs adaptive correction, and also includes: Analyze the statistical correlation between specific health record characteristics and reports of suspected adverse reactions following immunization; When the statistical correlation shows a high correlation, a new risk warning rule is generated; Increase the matching weight of the contraindications for the corresponding features in the immune suitability and temporal logic parsing unit.

6. The intelligent electronic vaccination certificate information management system based on a cloud platform according to claim 1, characterized in that, The multidimensional heterogeneous state-aware aggregation unit outputs a set of feature vectors to be verified, including: The temperature-time series data and the electronic health record are cleaned. The cleaned data is standardized to form the feature vector group to be verified, and the feature vector group to be verified is used as the basis for calculation of the subsequent evaluation unit.

Images