Big data processing-based infectious substance carrier entry and exit directory data management system

Abstract

The invention relates to the technical field of data management, in particular to an infectious substance carrier entry and exit directory data management system based on big data processing, which comprises an upper computer and a lower computer, and the upper computer and the lower computer are in data intercommunication; the upper computer is provided with a data management module, an intelligent declaration module, a risk assessment module, a process control module, a system maintenance module and a log and visualization module; and the lower computer is provided with a sealing tester, a disinfection residue detector, a portable PCR-mass spectrometer, a radiation monitor and an image acquisition device. According to the scheme, the historical database covering multi-source information is constructed, the incidence relation between the infectious substances and the carrier is established through double indexes, the infectious substances and the carrier can be automatically matched, and blind selection of a declarator is avoided; meanwhile, a graphical declaration interface is provided, missing fields are marked in real time, formats are verified, violation histories are marked, manual operation errors are reduced, declaration efficiency is remarkably improved, and the declaration error rate and data calling cost are greatly reduced.

Description

Technical Field

[0001] This invention relates to the field of data management technology, and in particular to a data management system for the entry and exit list of infectious material carriers based on big data processing. Background Technology

[0002] With the rapid development of globalization and the biopharmaceutical industry, the frequency of entry and exit of infectious substances and their carriers has increased significantly. The cross-border flow of these substances directly impacts public health security and port regulatory efficiency. Whether it's biological samples for scientific research, medical waste, or biopharmaceutical products, their transportation and customs clearance processes require strict control to prevent public health risks arising from leaks, mismatches, or illegal transportation. However, under the traditional management model, entry and exit data for infectious substance carriers are scattered across independent systems at different ports and departments, lacking a unified integration and sharing mechanism. This leads to difficulties in cross-stage data retrieval, hindering efficient collaborative management and posing numerous challenges to regulatory and public health prevention and control efforts.

[0003] The existing management system for the entry and exit of infectious material carriers has significant shortcomings, making it difficult to meet the needs of prevention and control. Firstly, the declaration process relies on manual completion, lacking intelligent guidance and verification functions. Declarants often experience delays or even violations due to missing fields, incorrect formats, or inability to match historical information. Secondly, risk assessment lacks a quantitative system, relying heavily on manual experience, which fails to accurately measure the combined risks of infectious materials and carriers. This results in insufficient targeting of the inspection process, either leading to over-inspection that reduces efficiency or oversight that introduces risks. Thirdly, the system has poor data interoperability with on-site testing equipment, preventing real-time feedback of inspection results for dynamic risk assessment adjustments. Furthermore, the database is outdated, and parameter optimization mechanisms are lacking, making it difficult to adapt to the control requirements of new types of infectious materials or carriers. These problems severely restrict management efficiency and the accuracy of prevention and control, necessitating a comprehensive, big data-based management system to address these issues. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a data management system for the entry and exit lists of infectious material carriers based on big data processing, thereby solving the technical problems mentioned in the background section.

[0005] To achieve the above objectives, the present invention provides the following technical solution: A data management system for the entry and exit list of infectious material carriers based on big data processing includes a host computer and a slave computer, and the host computer and the slave computer can communicate with each other. The host computer is equipped with a data management module, an intelligent declaration module, a risk assessment module, a process control module, a system maintenance module, and a log and visualization module; the slave computer is equipped with a sealing tester, a disinfection residue detector, a portable PCR-mass spectrometer, a radiation monitor, and an image acquisition device. The host computer is used to realize intelligent management and data processing of the entire process of the list of inbound and outbound carriers of infectious materials; The lower-level machine is used to perform on-site inspection and testing tasks, and provides real-time data for the upper-level machine's control and decision-making.

[0006] In one possible implementation, the data management module constructs a historical database covering infectious substances, carriers of infectious substances, and historical combinations of their entry and exit, storing historical records, classification lists, compatibility lists, and inspection results; The intelligent declaration module provides a declaration interface to the declarant, supports automatic matching or manual supplementation of infectious substances and carriers, and performs integrity verification and violation history checks on the declaration data. The risk assessment module evaluates and quantifies the levels of infectious substances and carriers, scores them, and classifies them into risk levels. Simultaneously, the risk assessment module constructs a dynamic weighted algorithm model to calculate the combined quantitative value of the risk of infectious spread. The compatibility between infectious materials and carriers is determined, and the combinations are classified as low-risk, medium-risk, or high-risk based on the risk level and compatibility results. The process control module automatically dispatches instructions for rapid clearance, routine inspection, or key inspection based on risk level and adaptation results. During inspection, the sealing tester performs carrier bubble method / pressure decay method detection, the disinfection residue detector performs ATP fluorescence / labeling method detection, the portable PCR-mass spectrometer performs identification of suspected highly pathogenic substances, the radiation monitor performs radiation dose acquisition in the inspection area, and the image acquisition device performs physical object photography and information comparison. The inspection results are transmitted back to the host computer to adjust the process flow. The system maintenance module implements incremental updates to the historical database, periodic optimization of scoring weights and risk thresholds, and graded handling of anomalies; and records key data and operation traces throughout the entire process through the log and visualization module, supports model backtracking verification, and enables continuous system iteration.

[0007] In one possible implementation, the data management module constructs a historical database covering infectious substances, carriers of infectious substances, and historical combinations of their entry and exit. The database sources include entry and exit declaration records of infectious substance carriers over the past five years, a registered compatibility list, a classification list of infectious substances, and recorded transmission cases. For each historical combination, the module associates and stores the declaration time, port number, inspection results, and customs clearance status information, and establishes a dual index for the name of the infectious substance and the material of the carrier, as well as the hazard characteristics of the infectious substance and the safety characteristics of the carrier. The intelligent declaration module provides a declaration interface to the applicant. If the applicant selects "infectious substance", the system will query all carrier types that match the substance in the historical database through a preset index and automatically render the options in the drop-down box. If the applicant selects "infectious substance carrier", the system will reverse the search to find infectious substances that the carrier has been matched with in the historical database. If no target combination is found, the applicant can select "other" and manually enter the core fields. The system will mark the missing items in real time and trigger the data verification process.

[0008] In one possible implementation, the risk assessment module, when evaluating and quantifying the levels of infectious substances and their carriers, determines the human-to-human transmission capability of the infectious substance. Severity of disease Environmental survival time , Coverage of susceptible populations Difficulty of prevention and control intervention Five dimensions, each scored on a scale of 1-5, with a weighted summation to calculate the overall score. And divide to Five levels of infectious substances The calculation formula is as follows: ,in, to These are the weights for each dimension, and ; Material resistance to breakage should be selected for carriers of infectious substances. Sealing integrity Adaptability to transportation environment Convenience of cleaning and disinfection The four dimensions are each scored on a scale of 1 to 4, and a weighted sum is used to calculate the overall score. It is also classified into four levels of infectious material carriers, from 1 to 4. The calculation formula is as follows: ,in, to These are the weights for each dimension, and .

[0009] In one possible implementation, the risk assessment module, in constructing a dynamic weighting algorithm model, receives the assessed... , , , A dynamic weighting algorithm model was constructed, and risk weights for infectious substances were introduced. Weight of carrier safety impact =1- and carrier adaptation correction coefficient Calculate the combined infectious spread risk quantification value ; The calculation formula is as follows: ,in, , For carrier adaptation correction coefficients; The system presets a low-risk threshold. Medium risk threshold ,according to The values ​​will be categorized into low-risk, medium-risk, and high-risk groups, and the compatibility of the substance and carrier will be determined simultaneously. Suitable combinations will be qualified and... < Enter the fast-track clearance process. ≤ < Enter the routine inspection process. ≥ If the compatibility is not up to standard, it will be subject to key inspection procedures.

[0010] In one possible implementation, the adaptation determination of the risk assessment module will... The value and When comparing the values, ≥ If the fit is determined to be qualified, it is determined to be unqualified and marked as a "high-risk candidate". At this time, regardless of All values, regardless of magnitude, are subject to mandatory inspection; the system records all parameters and judgment results for each risk calculation, forming a risk assessment log and storing it in the historical database.

[0011] In one possible implementation, the process control module initiates classification management based on the risk level and adaptation results: For low-risk combinations, if there are no violations recorded in the historical database for the past year, a fast-track clearance permit valid for 24 hours will be automatically generated and pushed to the declarant's account and the port clearance system in real time, and filed in the low-risk clearance ledger; if clearance is not completed within the validity period or the declaration does not match the actual goods, the permit will automatically expire and be recalculated. ; For medium-risk portfolios, according to The inspection ratio is dynamically set. A random number generator determines whether an item is selected for inspection. If selected, a routine inspection task sheet is generated. The inspection items include the carrier's sealing, verification of the substance's name and quantity, and confirmation of the consistency between the declared information and the actual item. If the result is satisfactory, the item passes customs; otherwise, the process is recalculated. And then proceed to the corresponding process; For high-risk combinations or combinations that do not meet the criteria, a high-risk warning notification will be immediately generated and pushed to the inspection department and disease control agency terminals, initiating a key inspection. The inspection items include full-item carrier testing, laboratory identification of infectious substances, and traceability verification of declared information. Test data must be filled in item by item and reports uploaded. If the test is qualified, the application will be cleared and the applicant will be included in the high-risk file. When applying again within the next 3 months, the inspection rate will be increased. Those that are substandard but can be rectified must be rectified and re-inspected within 48 hours; those that cannot be rectified must be immediately seized and included in the list of violations.

[0012] In one possible implementation, the system maintenance module performs incremental updates to the database. When a manually entered new combination passes verification and has no violation records, it automatically updates the combination and its associated data. , , , , Values ​​are entered into the historical database and an index is created; if a new combination fails the inspection, it is first stored in the "Combination Database to be Observed". After three consecutive successful inspections, it is corrected and then transferred to the historical database.

[0013] Beneficial effects compared to existing technologies: 1. In this solution, a distributed historical database covering multi-source information is constructed, and the association between infectious substances and carriers is established through dual indexes, supporting automatic matching between the two and avoiding blind selection by the applicant; at the same time, a graphical application interface is provided, which can mark missing fields, verify formats and mark violations in real time, reduce human operation errors, significantly improve application efficiency, and greatly reduce the application error rate and data retrieval cost. 2. This solution significantly improves the accuracy and targeting of risk control by constructing a quantitative risk assessment and dynamic adaptation judgment system. The system grades and scores infectious materials based on dimensions such as transmissibility and pathogenicity, and carriers based on dimensions such as resistance to damage and airtightness. It introduces dynamic weights and adaptation correction coefficients to calculate the combined infectious spread risk value. Simultaneously, based on the risk level and adaptation results, it automatically classifies materials into low, medium, and high risks, avoiding the subjectivity and bias of traditional manual assessments. This allows the inspection process to be precisely matched according to risk levels, ensuring that high-risk combinations receive focused control while avoiding excessive inspection of low-risk combinations, thus balancing prevention and control effectiveness with customs clearance efficiency. 3. In this solution, the system automatically triggers different customs clearance procedures based on risk levels, and links with on-site testing equipment to transmit data in real time to adjust risk assessment and process flow, ensuring real-time linkage between inspection and risk assessment. It also possesses the capability to incrementally update the database, periodically optimize scoring weights and risk thresholds, and verify the optimization effect by combining historical data backtesting. Furthermore, a tiered anomaly handling mechanism is established to promptly resolve issues such as declaration errors and calculation anomalies. This achieves intelligent control and continuous iterative optimization across the entire process, adapting to the control needs of new types of infectious substances or carriers, ensuring long-term management efficiency and prevention capabilities, and guaranteeing the continuity and adaptability of the management system. Attached Figure Description

[0014] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, the preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0015] Figure 1 This is a schematic diagram of the data management system framework of the present invention; Figure 2 This is a schematic diagram of the operation process of the data management system of the present invention. Detailed Implementation

[0016] Preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the present invention can also be implemented in various different forms, and therefore the present invention is not limited to the embodiments described below. In addition, for the purpose of more clearly describing the present invention, parts not connected to the invention will be omitted from the drawings. The technical solutions in this application are designed to address the problems described in the background, and are generally as follows: Example: Reference Figures 1 to 2 This embodiment introduces a data management system for the list of inbound and outbound infectious material carriers based on big data processing. The system includes a host computer and a slave computer, and the host computer and the slave computer can communicate with each other. The host computer includes a data management module, an intelligent declaration module, a risk assessment module, a process control module, a system maintenance module, and a log and visualization module. The data management module is used to centrally store, index, update, and query historical records, classification lists, compatibility lists, and verification results of infectious substances and their carriers. The intelligent declaration module provides a graphical interface for declarants, automatically matching substances and carriers, prompting for missing fields, and verifying formats and marking violations. The risk assessment module is used to score and quantify infectious materials and carriers, calculate the combined risk value of infectious spread, determine the compatibility between the two and classify them into low, medium and high risks; The process control module is used to automatically issue instructions for fast clearance, routine inspection or key inspection based on risk level and adaptation conclusion, and collect inspection results to determine the process direction. The system maintenance module is used for incremental database updates, periodic optimization of scoring weights and risk thresholds, and monitoring and tiered handling of various anomalies. The log and visualization module is used to record key data and operation traces throughout the entire process, and provides a visual display of risk trends, verification statistics, and anomaly distribution.

[0017] The lower-level equipment includes a sealing tester, a disinfection residue detector, a portable PCR-mass spectrometer, a radiation monitor, and an image acquisition device; A leak tester is used to detect leaks in a carrier using either the bubble method or the pressure decay method, and outputs the leak results in real time. A disinfection residue detector is used to detect the residual level on a carrier surface after disinfection using ATP fluorescence or labeling methods. Portable PCR-mass spectrometry instrument is used for rapid identification of the type, concentration and activity of suspected highly pathogenic substances. The results are transmitted back to the host computer to trigger risk recalculation. Radiation monitoring instrument: used to continuously collect air particles and radiation dose in the inspection area. Once the standard is exceeded, an on-site alarm will be triggered immediately and the host computer will activate the emergency response simultaneously. Image acquisition device: used for high-definition photography and radio frequency identification of the appearance, seals and labels of goods clearing customs, automatically comparing the declared information and transmitting back images of the differences.

[0018] This embodiment also introduces a method for use with a data management system, as detailed below: S1: Building a historical database and entering application information First, a historical database covering infectious substances, their carriers, and historical combinations of their import and export is constructed. Data sources include import and export declaration records of infectious substance carriers at various ports over the past five years, compatibility lists of infectious substances and their carriers filed with regulatory authorities, the World Health Organization's classification of infectious substances and corresponding carrier recommendations, and carrier types involved in infectious substance transmission cases collected by disease control institutions. The database employs a distributed storage architecture. Each historical combination is denoted as... It also links and stores supplementary information such as declaration time, port number, inspection results, and customs clearance status, and establishes a dual index for infectious substance names and carrier materials, as well as infectious substance hazard characteristics and carrier safety characteristics, to ensure rapid matching and data retrieval during declaration.

[0019] After the declarant logs in to the system, the core fields of the declaration form filled in include two options: "infectious substance" and "carrier of infectious substance". If the declarant first selects "infectious substance", the system queries all carrier types matching this substance in the historical database through a preset index and automatically renders these options in the "carrier of infectious substance" dropdown box, and the declarant can directly check them; if the declarant first selects "carrier of infectious substance", the system will reverse-match the infectious substances that this carrier has been adapted to in the historical database and also display the optional options in the corresponding dropdown box. If the declarant does not find the target combination in both dropdown boxes, that is, there is no matching , the "other" option can be selected. At this time, the system pops up a supplementary filling interface, requiring the declarant to manually enter the name, classification number, source attribute, pathogenic type of the infectious substance, and the material, specification, production qualification number, sealing structure type, etc. of the carrier of the infectious substance. The list of core fields is preset by the system and the missing items are marked in real time on the right side of the interface to prevent the declarant from missing key information.

[0020] After the declarant completes the combination selection or manual filling, the system immediately triggers the data verification process: If the declarant selects an existing one in the historical database through the dropdown box , and both of the selected items have no blank items, the system automatically verifies whether there are unresolved violation marks in the 's historical records (such as it is found that this combination has a leakage risk during past inspections and has not been rectified). If there is no violation mark, it is determined that this step is processed qualified, and the declaration data automatically flows to step S2; if there is a violation mark, the system pops up a prompt box to explain the violation history and rectification requirements, and the declaration process pauses at step S1. The declarant needs to replace the combination or upload the proof materials of the completed rectification, and re-trigger the verification after submission until it is qualified to enter step S2.

[0021] If the declarant selects "other" and manually fills in a new combination, denoted as , the system first verifies the integrity of the core fields. The infectious substance needs to include at least the name, classification number, and source attribute, and the carrier of the infectious substance needs to include at least the material, specification, and production qualification number. If the core fields are complete, the system further verifies the field format. If the formats all meet the requirements, it is determined to be qualified, and it is temporarily stored in the "pending verification combination" queue and synchronously enters step S2; if the core fields are missing or the format is incorrect, the system marks the problem fields in red font, and the declaration process pauses at step S1. The declarant needs to supplement or modify the information and then click "re-verify" until the verification passes.

[0022] S2: Evaluate and quantify the levels of infectious substances and carriers The system receives the or Then, infectious substances and their carriers were scored separately, and the levels were determined based on the overall scores.

[0023] Infectious substance classification: When storing and transporting different infectious substances, the impact of different infectious substances on the carriers varies significantly. Therefore, the system combines the transmission characteristics, harmful consequences, and control difficulties of infectious substances to determine five scoring dimensions. Each dimension is divided into five levels of risk from low to high, with 1 being the lowest risk and 5 being the highest risk. Interpersonal communication skills The transmission routes and efficiency are classified as follows: 1 point: transmission only through special medical procedures; 2 points: transmission through direct close contact; 3 points: transmission through droplets; 4 points: transmission through airborne particles; 5 points: rapid transmission through multiple routes (such as droplets + contact + aerosols).

[0024] Severity of disease The classification is based on clinical manifestations and prognosis. 1 point: No obvious symptoms or only mild discomfort after infection; 2 points: Typical symptoms (such as persistent fever and cough) but no sequelae; 3 points: Severe symptoms (such as organ dysfunction) requiring hospitalization; 4 points: Leading to severe illness (such as respiratory failure) or permanent organ damage; 5 points: High mortality rate (mortality rate > 50%) or irreversible severe sequelae.

[0025] Environmental survival time The survival time is classified according to the normal environment (temperature 20-25℃, relative humidity 40%~60%), where 1 point: survival time <1 hour; 2 points: survival time 1-6 hours; 3 points: survival time 6-24 hours; 4 points: survival time 24-72 hours; 5 points: survival time >72 hours.

[0026] Coverage of susceptible populations The classification is based on the proportion of susceptible individuals, with 1 point for individuals with specific gene defects, 2 points for individuals with weakened immune systems, 3 points for a single group of elderly or children, 4 points for the general population of all ages, and 5 points for all populations without natural immune protection.

[0027] Difficulty of prevention and control intervention The effectiveness of existing prevention and control measures is graded as follows: 1 point: There is a mature vaccine and the cure rate of drugs is >90%; 2 points: There is a vaccine or effective treatment drug; 3 points: There is no vaccine but there are symptomatic treatment drugs; 4 points: It can only relieve symptoms; 5 points: There are no prevention or treatment measures.

[0028] Calculate the overall score for infectious substances The calculation formula is: ,in, to These are the weights for each dimension, and The initial weights are set as follows: =0.25、 =0.25、 =0.2、 =0.15、 =0.15, which can be dynamically adjusted through the system maintenance mechanism in step S5.

[0029] in accordance with Classify infectious materials into levels and record them as follows: : when hour, for Level 1, which represents extremely high risk; when hour, for Level 1, which is high-risk; when hour, for Level 1, which is medium risk; when hour, for Level 1, which is low risk; when hour, for Level 1, indicating extremely low risk.

[0030] Classification of infectious material carriers: The system combines the physical characteristics, safety performance, and usage scenarios of infectious material carriers to determine four scoring dimensions. Each dimension is divided into four levels according to safety, from low to high, with 1 point being the lowest safety and 4 points being the highest safety. Material resistance to breakage The grades are based on their impact and compression resistance during transportation and storage. 1 point: fragile material, which may break with slight impact; 2 points: general material, no risk of breakage during normal handling, but easily broken by severe impact; 3 points: impact-resistant material (such as reinforced polypropylene and polycarbonate), which can maintain structural integrity under severe impact; 4 points: high-strength material (such as stainless steel and special alloys), which has no risk of breakage in extreme environments.

[0031] Sealing integrity The rating is based on leakage prevention performance, with 1 point being no sealing design and no leakage prevention capability; 2 points being basic sealing, with no leakage during normal storage, but leakage may occur due to tilting or slight vibration; 3 points being double sealing (such as thread + double sealing ring, snap-fit ​​+ sealant), with no leakage under tilting, vibration, or low-pressure environments; and 4 points being professional sealing (such as biosafety grade welded seal, negative pressure seal), maintaining a seal even under extreme pressure and temperature changes.

[0032] Transportation environment adaptability The rating is based on the ability to withstand changes in temperature, humidity, and pressure. 1 point: only applicable to normal temperature and pressure; deviation from these ranges may cause damage. 2 points: applicable to a narrow range of environments (temperature 5-35℃, pressure ±0.05MPa), exceeding this range may lead to failure. 3 points: applicable to a wide range of environments (temperature -10-40℃, pressure ±0.1MPa), suitable for most transportation scenarios. 4 points: applicable to extreme environments (temperature -80-60℃, pressure ±0.5MPa), stable for special transportation scenarios (such as aviation and cold chain).

[0033] Convenience of cleaning and disinfection The grades are based on the difficulty of pollutant residue and disinfectant compatibility. 1 point: easy to leave pollutant residue and only compatible with a single disinfectant; 2 points: easy to leave pollutant residue but compatible with multiple disinfectants (e.g., alcohol and chlorine-containing disinfectants can be used); 3 points: low pollutant residue and compatible with commonly used disinfectants (alcohol, chlorine-containing disinfectants, peracetic acid); 4 points: no pollutant residue and compatible with all compliant disinfectants, with no residue after disinfection.

[0034] Calculate the overall score of infectious material carriers The calculation formula is: ,in, to These are the weights for each dimension, and The initial weights are set based on the core elements of carrier security. =0.3、 =0.25、 =0.25、 =0.2, which can be dynamically adjusted through the system maintenance mechanism in step S5.

[0035] in accordance with Classify infectious material carriers into different levels and record them as follows: : when hour, Level 1, representing extremely high security; when hour, Level 2, which is high security; when hour, Level 3, which is medium safety; when hour, It is level 4, which is low security.

[0036] During the grading process, the system performs simultaneous verification: if any dimension has no score or the score is out of range, the system automatically marks that dimension as abnormal, pauses the process at step S2, and pops up a prompt box asking the operator to supplement or correct the score; if all dimension scores are complete and within range, the system automatically calculates... , and corresponding levels , If the processing of this step is deemed satisfactory, the grade data and scoring basis will be transferred to step S3. If a scoring logic conflict occurs, the system will trigger a manual review reminder, and a professional will confirm the rationality of the scoring. If the review is successful, the system will proceed to step S3. If the review fails, the system will return to re-scoring until the score is satisfactory.

[0037] S3: Quantitative Calculation and Suitability Assessment of Infection Spread Risk The system receives the data transmitted in step S2. , , , Then, a dynamic weighting algorithm model was constructed to calculate the quantitative value of the infectious spread risk of the combination of infectious material and carrier, and to determine the compatibility between the two.

[0038] The higher the risk of the infectious material, the higher the safety requirements for the carrier; the lower the safety of the carrier, the higher the overall risk of the combination. The model input parameters are set as follows: , Introducing risk weights for infectious substances Weight of carrier safety impact ,and ; initial value and Positive correlation, meaning that the higher the risk of an infectious substance, the greater its weighting. Specifically, for At level, =0.6、 Level =0.55、 Level =0.5、 Level =0.45、 Level =0.4, Then through =1- Calculations show that subsequent adjustments can be made dynamically based on actual inspection data through the system maintenance mechanism in step S5. , The value of .

[0039] At the same time, a carrier adaptation correction coefficient is introduced. Used to correct compatibility discrepancies between the carrier and the infectious material: when the carrier grade satisfy ≤ When adding +1, it is important to note that... Levels 1-4 for to Level, corresponding relationship is Level = 5 Level = 4 Level = 3 Level = 2 Level = 1, facilitating numerical comparison and determining that the carrier is basically compatible with infectious substances. =1; when > +1 indicates that the carrier's security is too high and there is no adaptation deviation. =0.9, appropriately reducing the risk value, as a high-safety carrier can further reduce the risk of diffusion; when < +1 indicates insufficient carrier security and significant compatibility deviation. =1.2, the risk value should be appropriately increased, as a low-safety carrier may exacerbate the risk of spread.

[0040] Quantitative value of the risk of infection spread of the combination The calculation formula is as follows: ,in, A higher value indicates a higher risk of infection spreading.

[0041] In the calculation Then, the system simultaneously performs judgment and risk classification: like ≥ carrier level Not lower than the infectious material level The risk levels for carriers 1 through 4, from low to high, correspond to infectious materials. to The risk levels are ranked from high to low, with Level 1 infectious material carriers corresponding to compatible infectious materials. to Level 2, infectious agent carrier, adaptable to infectious agents to Level, and so on, to determine suitability; like < If it is determined to be an incompatible pairing, then regardless of... Regardless of the value, the combination should be marked as a "high-risk candidate" and given priority evaluation.

[0042] Furthermore, this embodiment is based on The value is used to classify risk levels, with three preset threshold ranges: low risk threshold... =1.5, medium risk threshold =3.0; when < When, it is a low-risk portfolio; when ≤ < At that time, it is a medium-risk portfolio; when ≥ At that time, it was considered a high-risk combination.

[0043] Based on the above judgment results, the system then determines the flow direction: If it fits the criteria and < (Low-risk combination): If the processing of this step is deemed satisfactory, the combination information and risk assessment report will be transferred to step S4 to enter the fast-track clearance process; If it fits the criteria and ≤ < (Medium-risk combination): If deemed qualified, proceed to step S4 and enter the routine inspection process; If it fits the criteria and ≥ (High-risk combination): If deemed qualified, proceed to step S4 and enter the key inspection process; If the compatibility is not satisfactory (regardless of) (Value): If it is determined that it requires key control, it will be directly transferred to step S4 to enter the key inspection process, and the reason for the failure of the adaptation will be recorded in the system to facilitate the inspection department to conduct targeted inspections. If parameter anomalies occur during the calculation: the system pauses the process at step S3, a pop-up message box requests technical personnel to correct the parameters, and then recalculates. The process continues until the parameters are normal and the determination result is valid, then proceeds to step S4.

[0044] In addition, the system automatically records all parameters and judgment results for each risk calculation, forming a risk assessment log, which is stored in the historical database for model optimization in the subsequent step S5.

[0045] S4: Combined Classification Management and Verification After receiving the combination information, risk level and suitability judgment result transmitted in step S3, the system starts the classification management process, performs different customs clearance and inspection for combinations with different risk levels, and records the inspection results at the same time.

[0046] For the low-risk combination determined in step S3, i.e., the suitable combination and < The system automatically initiates the fast-track clearance process: The system retrieves past inspection records for this combination (or similar combinations) from the historical database. If there are no violations (such as leaks or discrepancies in declared information) within the past year, it automatically generates a fast clearance permit, which includes the permit number, declarant information, combination information, and clearance validity period (within 24 hours), and pushes it to the declarant's account and the port clearance system simultaneously. The system will record the fast customs clearance permit information and combined risk assessment report to the low-risk customs clearance ledger, and record the customs clearance time and port number for easy traceability later. The system monitors the status of fast-track clearance permits in real time. If the declarant completes customs clearance within the validity period, the process ends normally. If customs clearance fails to occur before the expiration date, the permit automatically expires, and the system will display a reminder, requiring the declarant to re-initiate steps S1 to S3 to reassess the risks and obtain a new permit. If the system detects discrepancies between the declared information and the actual goods cleared (e.g., the carrier specifications do not match the declaration), the fast-track clearance process is immediately suspended, and the combination is redirected back to step S3 for recalculation. The risk level is determined, and the corresponding process is initiated based on the new results.

[0047] For medium-risk portfolios, i.e. suitable and ≤ < The system initiates the standard inspection process: The system according to The specific value will be dynamically adjusted to adjust the inspection ratio. , The closer , The higher the percentage, the better; in this embodiment, the preset ratio range is 10% to 50%, for example... =1.5 ( )hour, =10%, =2.9 (close to) )hour, =50%; The system uses a random number generator to determine whether the combination is selected for inspection. If selected, a regular inspection task sheet is generated; if not selected, it is processed according to the fast clearance process, but the risk of not being inspected needs to be marked in the ledger.

[0048] The routine inspection task sheet includes inspection items (carrier sealing inspection, verification of infectious substance name and quantity, and consistency verification between declared information and physical items) and inspection standards (such as sealing must pass a pressure test and there must be no air bubbles or leakage). The task sheet is sent to the port inspection personnel's terminal. After completing the inspection, the inspection personnel fill in the inspection result form (pass / fail and a description of specific problems) in the system.

[0049] If the inspection result is "qualified", the system records the result and allows the combination to pass through customs, and the process ends; if the inspection result is "unqualified" (such as leakage in the carrier sealing test, or the quantity of the substance does not match the declaration), the system will transfer the combination back to step S3 for recalculation. If reassessed ≥ If the risk level is high, the system will proceed to the key inspection process. If the risk level remains medium after reassessment, the applicant will be allowed to make corrections (such as replacing the qualified carrier or correcting the number of applications). After corrections, the inspection will be re-initiated until the inspection is passed or the risk level is determined to be high. If the inspectors raise doubts about the information, the system will trigger manual review. A professional testing institution will identify the infectious material. After the identification results are available, the system will re-enter steps S2 to S3 to determine the risk level before further processing.

[0050] For high-risk portfolios, i.e., suitable and ≥ System startup key inspection process: The system immediately generates a high-risk warning notification, including combined information and risk assessment basis (such as...). =3.5, reasons for non-compliance), key inspection items, and push them in real time to the terminal of the person in charge of the inspection department and the linkage terminal of the disease control agency. At the same time, an early warning prompt will pop up on the system homepage to ensure that relevant departments respond in a timely manner.

[0051] Key inspection items include full-item testing of the carrier (sealing, material resistance to breakage, and environmental adaptability testing), laboratory identification of infectious substances (type confirmation, concentration detection, and pathogenicity verification), and traceability verification of declared information (authenticity of source attributes and validity of production qualification number). Inspectors are required to fill in the test data item by item and upload the test report to the system.

[0052] Results processing and risk management: If the inspection result is "qualified": The system records the result and allows customs clearance, but the inspection data and risk assessment report of the group must be stored in the high-risk customs clearance file. If the group submits another declaration within the next 3 months, the inspection rate will be automatically increased. 100%; If the inspection result is "unqualified": If the problem can be rectified (e.g., the carrier is not sealed properly but can be replaced): The system will notify the applicant to rectify within a specified period (the rectification period shall not exceed 48 hours). After rectification, the process of steps S2 to S4 will be restarted for re-inspection. If the problem is still unqualified after rectification, the applicant's eligibility to apply will be suspended for 3 months, and the combination information will be entered into the "blacklist of illegal combinations". If the problem is irremediable (e.g., the infectious substance is an unregistered highly pathogenic substance, or the carrier has serious quality defects): the system will immediately notify the regulatory authorities to take temporary detention measures, transfer the substance to a professional institution for processing, record the applicant's violation information, include it in the credit rating system, and require 100% verification of all applications submitted by the applicant within the next year. If a suspected leak is discovered during the inspection: the system will activate the emergency prevention and control process, notify the port epidemic prevention department to disinfect the inspection area, conduct health monitoring on the personnel who came into contact with the leak, and at the same time, the combination will be judged as "extremely high risk". The combination will no longer be allowed to be declared until the regulatory department assesses that the risk has been eliminated.

[0053] S5: System Updates and Maintenance Database updates are performed incrementally, combined with periodic validation. The triggering conditions and process are as follows: When manual input is required in step S1 And if the combination passes the inspection in step S4 (no violation record), the system will automatically... and its corresponding , , , , Values ​​are entered into the historical database, and an index is created simultaneously; if If the inspection fails, the system will enter it into the "Combination to be Observed" database. If the subsequent three applications pass the inspection, it will be transferred to the historical database. The system regularly receives new lists of infectious substances, new carrier safety standards, and new prevention and control information. It automatically extracts key data and compares it with similar data in the historical database. If there are discrepancies, it generates information update suggestions and pushes them to professional reviewers. After the review is approved, the system automatically updates the corresponding data and records the update time and basis. A comprehensive database verification is performed quarterly. The system automatically checks the integrity, consistency, and validity of the data. If data is missing, it automatically retrieves and supplements it from the process files in steps S1 to S4. If data inconsistency is found, a data conflict report is generated, which is then confirmed and corrected by the auditors. If invalid data is found, it is automatically replaced with the latest data. After the verification is completed, the system generates a database health report, recording the verification results and corrections.

[0054] During the database update process, the system simultaneously adapts the workflow: if the update involves the scoring dimensions of step S2 or the algorithm parameters of step S3, the system automatically pauses the workflow of steps S2 and S3, pops up a prompt box explaining the update content, and restarts the workflow after the update is completed; if the update does not affect the existing workflow, it proceeds normally to ensure that the update does not interrupt business.

[0055] In addition, based on historical data feedback from steps S3 and S4, the scoring weight of step S2, the algorithm weight of step S3, and the risk threshold are optimized periodically (once every six months). The optimization process is as follows: The system automatically extracts the inspection results data from step S4 within the past six months and calculates the actual violation rate for different risk level combinations; if the actual violation rate for low-risk combinations is >1%, it indicates... The threshold is too low and needs to be raised; if the actual violation rate of high-risk combinations is less than 10%, it indicates... The threshold is too high and needs to be lowered; at the same time, analysis... , Correlation with actual violation rate: If a certain dimension has a significantly higher correlation with the violation rate than other dimensions, the corresponding weight should be appropriately increased. Based on the data analysis results, the system generates a parameter optimization plan, including suggested weight values, thresholds, and adjustment basis. This plan needs to be reviewed by a professional review panel. After the review is approved, the system automatically updates the parameters and records the comparison data before and after the parameter adjustment. After parameter adjustment, the system selects 1000 sets of historical combination data from the past 3 months for backtracking verification and calculates the adjusted parameters. The matching degree between the value and the actual inspection result; if the matching degree is ≥90%, the optimization is deemed qualified and the new parameter is officially used; if the matching degree is <90%, the system automatically rolls back to the parameter before adjustment, re-analyzes the data, generates a new optimization plan, until the matching degree meets the standard.

[0056] During model optimization, the system ensures process continuity: During optimization, new declaration combinations are still calculated using the old parameters. After optimization, the system automatically re-evaluates the declaration combinations during optimization. If the original risk level is found to be inconsistent with the new risk level, only the difference is recorded, without changing the already executed customs clearance and inspection process, so as to avoid affecting the normal operation of business.

[0057] It is also important to note that during system operation, an anomaly handling mechanism should be established to address issues such as errors in declared information, calculation abnormalities, and verification data anomalies that occur in steps S1 to S4. The system monitors data at each process node in real time. If an error is found in the declaration information, it automatically locates the erroneous field and marks the error type. If an anomaly is found in the calculation, it automatically traces back the calculation process to locate the erroneous parameter. If an anomaly is found in the inspection data, it automatically compares the data collection time and the operator to locate the cause of the anomaly. Graded processing procedure: For minor anomalies such as misspellings in the applicant's name or errors in the decimal places of the verification data: the system will automatically generate an anomaly correction prompt and push it to the applicant or the verification personnel, allowing them to correct it within 24 hours; after correction, the process will continue automatically; if the correction is not made within the time limit, the system will pause the process and remind the applicant again. If the name of the infectious substance does not match the classification number, For moderate anomalies with missing calculation parameters: the system generates an anomaly review form and pushes it to the reviewer; the reviewer needs to verify the situation within 48 hours. If it is confirmed that it can be corrected, the relevant personnel are notified to make corrections and continue the process; if it is confirmed that it cannot be corrected, the application is rejected and the process of step S1 is restarted. In the event of a serious anomaly such as a system calculation module failure or data tampering, the system will immediately trigger an emergency warning, suspend all related processes, and notify technical personnel to troubleshoot the fault and regulatory personnel to investigate the data tampering. After the fault is resolved and the investigation is completed, the system will resume the process. If the submitted combination is involved, the S2-S3-S4 process must be re-executed to ensure the accuracy of the risk assessment. All anomalies and their handling results are recorded in the system's anomaly log, including the anomaly type, occurrence time, handling time, handling result, and responsible person. The anomaly log is analyzed monthly to count the frequency of anomalies, main types, and high-incidence nodes, and an anomaly analysis report is generated. If a node is found to have frequent anomalies, optimization suggestions are proposed.

[0058] Finally, it should be noted that the above embodiments are merely examples for clearly illustrating the present invention and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A data management system for infectious material carrier entry and exit list based on big data processing, characterized in that, The application comprises an upper computer and a lower computer, and data is interchanged between the upper computer and the lower computer; The upper computer is provided with a data management module, an intelligent declaration module, a risk assessment module, a process control module, a system maintenance module and a log and visualization module; the lower computer is provided with a sealing test instrument, a disinfection residue detection instrument, a portable PCR-mass spectrometry instrument, a radiation monitor and an image acquisition device; The upper computer is used for realizing intelligent management and control and data processing of the whole process of the entry and exit list of infectious material carriers; The lower computer is used for performing on-site inspection and detection tasks, and providing real-time data for the management and control and decision of the upper computer.

2. The big data processing based infectious substance carrier entry and exit watch list data management system of claim 1, wherein, The data management module constructs a historical database covering infectious materials, infectious material carriers and historical entry and exit combinations of the two, and stores historical records, classification lists, adaptation lists and inspection results; The intelligent declaration module provides a declaration interface for the declarer, supports automatic matching or manual supplementary entry of infectious materials and carriers, and performs integrity verification and violation history checking on the declaration data; The risk assessment module assesses and quantifies the level of infectious material and carrier, scores the infectious material and carrier, and divides the risk level, and meanwhile, the risk assessment module constructs a dynamic weight algorithm model to calculate the quantitative value of the combined infectious diffusion risk and determines the adaptability between the infectious material and the carrier, and divides the combination into low risk, medium risk or high risk according to the risk level and the adaptation result. The process control module automatically assigns quick clearance, regular inspection or key inspection instructions according to the risk level and adaptation result; during inspection, the sealing test instrument is used to perform carrier bubble method / pressure decay method detection, the disinfection residue detection instrument is used to perform ATP fluorescence / labeling method detection, the portable PCR-mass spectrometry instrument is used to perform suspected high pathogenicity material identification, the radiation monitor is used to perform radiation dose collection in the inspection area, and the image acquisition device is used to perform clearance physical shooting and information comparison, and the inspection result is returned to the upper computer to adjust the process direction; The system maintenance module realizes incremental update of the historical database, regular optimization of scoring weights and risk thresholds, and abnormal grading processing; and records key data and operation traces of the whole process through the log and visualization module, supports model backtracking verification, and realizes system continuous iteration.

3. The big data processing-based infectious substance carrier entry and exit watchlist data management system of claim 1, wherein, The data management module constructs a historical database covering infectious materials, infectious material carriers and historical entry and exit combinations of the two, and the database sources include entry and exit declaration records of infectious material carriers in the past five years, recorded adaptation lists, infectious material classification lists and included transmission cases; the declaration time, port number, inspection result and clearance state information of each historical combination are stored in association, and a double index of infectious material name and carrier material, and infectious material hazard characteristics and carrier safety characteristics is established; The intelligent declaration module provides a declaration interface for the declarer; if the declarer selects "infectious material", the system queries all carrier types matching the material in the historical database through a preset index and automatically renders options in a drop-down box; if the declarer selects "infectious material carrier", the system reversely matches infectious materials that the carrier has adapted in the historical database; if the target combination is not found, the declarer selects "other" and manually enters core fields, the system real-time labels missing items and triggers a data verification process.

4. The big data processing-based infectious substance carrier entry and exit watchlist data management system of claim 1, wherein, The risk assessment module assesses and quantifies the level of infectious substances and carriers of infectious substances, and the system determines the interpersonal transmission ability of the infectious substances , the severity of the disease , the environmental survival time , the coverage of susceptible population , the difficulty of prevention and control intervention Five dimensions, each dimension is scored on a scale of 1-5, and the comprehensive score is calculated by weighted summation and divided into to five levels of infectious substances , and the calculation formula is: , wherein to are the weights of each dimension, and ; The anti-breaking ability of the material selected for the carrier of infectious substances , sealing integrity , transport environment adaptability , cleaning and disinfecting convenience Four dimensions, each dimension is scored from 1 to 4, and the comprehensive score is calculated by weighted summation And divide into four levels of infectious substance carriers from 1 to 4 The calculation formula is: Wherein, To Each dimension weight, and .

5. The big data processing-based infectious substance carrier entry and exit watchlist data management system of claim 1, wherein, The risk assessment module, in the dynamic weight algorithm model, the system receives the evaluation , , , , constructs a dynamic weight algorithm model, introduces the risk weight of infectious material , the weight of carrier safety influence =1- and the carrier adaptation correction coefficient , calculates the combined infection diffusion risk quantization value ; The calculation formula is: wherein, , is a carrier adaptation correction factor; System preset low-risk threshold , medium-risk threshold , according to The combination is divided into low-risk, medium-risk, high-risk, and the substance and carrier adaptability determination is carried out synchronously, and the adaptation is qualified and Enter the fast customs clearance process, Enter the regular inspection process, Or enter the key inspection process if the adaptation is unqualified.​​​​ 6. The big data processing-based infectious substance carrier entry and exit watchlist data management system of claim 1, wherein, The adaptation decision of the risk assessment module, the value of is compared with the value of , when ≥ , it is determined that the adaptation is qualified, otherwise, it is determined that the adaptation is unqualified and marked as "high-risk candidate", at this time, no matter the value of , it is forced to enter the key inspection process; the system records all parameters and determination results of each risk calculation, forms a risk assessment log and stores it back to the historical database.

7. The big data processing-based infectious substance carrier entry and exit watchlist data management system of claim 1, wherein, The process control module starts classified management according to the risk level and adaptation result: For low-risk combinations, if there is no record of violation in the historical database for the past year, a 24-hour valid fast clearance permit is automatically generated and pushed to the declarer's account and the port clearance system in real time, and is recorded in the low-risk clearance table; if it is not cleared or the declaration does not match the physical object within the valid period, the permit is automatically invalidated and recalculated ​ For medium-risk combination, according to The value of the dynamic setting of the inspection ratio , through the random number generator to determine whether the draw inspection, draw the generation of routine inspection task, inspection items include carrier sealing, material name quantity review, declaration information and physical consistency check, the results are qualified, that is, the customs clearance, unqualified then re-calculation And into the corresponding process; For high-risk combinations or unqualified combinations, high-risk warning notifications are immediately generated and pushed to the inspection department and CDC terminal to start key inspections, including carrier full detection, infectious material laboratory identification, and declaration information traceability verification. Detection data is filled in and reports are uploaded, and if qualified, the product is cleared and included in the high-risk archive. If the product is declared again within the next 3 months, the inspection ratio is increased For unqualified and correctable products, rectification and re-inspection are required within 48 hours. For uncorrectable products, immediate suspension and inclusion in the violation list.

8. The big data processing-based infectious substance carrier entry and exit watchlist data management system of claim 1, wherein, The system maintenance module performs incremental update on the database, and when a new combination manually entered is verified as qualified and has no violation record, the combination and its , , , , value are entered into the historical database and indexed; if the new combination is not qualified, it is first stored in the "to-be-observed combination library", and then is converted into the historical database after being qualified in the following three consecutive verifications, and is further converted into the historical database.

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