Method and system for risk assessment of special biological resources entering or leaving a country
By analyzing the three-level indicators, the second-level indicators, and the first-level indicators layer by layer, the problem of the single dimension in the risk assessment of imported and exported special biological resources in the existing technology has been solved, and the accurate assessment of risk coefficients and the precise control of the risk system have been achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA JILIANG UNIV
- Filing Date
- 2026-01-22
- Publication Date
- 2026-06-12
Smart Images
Figure CN122198310A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the technical field of special biological resources entering and leaving the country, and in particular to a risk assessment method and system for special biological resources entering and leaving the country. Background Technology
[0002] With the development of technology, the import and export of special biological resources generally refers to biological resources of special value or importance that need to be imported, exported, or transshipped across national borders in activities such as international trade, scientific research cooperation, and cultural exchange. Special biological resources encompass microbial resources, laboratory animals, or biotechnology and biomanufacturing products; and the safety indicators for these resources are a series of quantitative or qualitative standards used to assess whether these resources meet safety, ecological, health, and legal requirements during cross-border transportation, import, or export. In existing technologies, risk assessments of imported and exported special biological resources are conducted using a single-dimensional risk assessment based on the type of special biological resource, which affects the accuracy of the risk coefficients for these resources. Summary of the Invention
[0003] The purpose of this invention is to overcome the shortcomings of the prior art. This invention provides a risk assessment method and system for the import and export of special biological resources.
[0004] This invention provides a risk assessment method for the import and export of special biological resources, including: Obtain pre-selected safety indicators for special biological resources entering and leaving the country; the safety indicators for special biological resources entering and leaving the country cover three levels of indicators. Based on the standard values of the tertiary indicators and their weight vectors, calculate the standard values of the corresponding secondary indicators. Based on the standard values of the secondary indicators and their weight vectors, calculate the standard values of the corresponding primary indicators. The risk coefficients for importing and exporting special biological resources are determined based on the standard values and weight vectors of the primary indicators. The risk system for importing and exporting special biological resources is determined based on the risk coefficient and the types of special biological resources imported and exported.
[0005] This invention provides a risk assessment system for the import and export of special biological resources. This system is applied to the aforementioned risk assessment method for the import and export of special biological resources. The risk assessment system for the import and export of special biological resources includes: The acquisition module is used to acquire pre-selected safety indicators for special biological resources entering and leaving the country. The safety indicators for special biological resources entering and leaving the country cover three levels of indicators. The secondary indicator module is used to calculate the standard values of the corresponding secondary indicators based on the standard values and weight vectors of the tertiary indicators. The primary indicator module is used to calculate the standard value of the corresponding primary indicator based on the standard value of the secondary indicator and its weight vector. The risk coefficient module is used to determine the risk coefficient of special biological resources entering or leaving the country based on the standard values of primary indicators and their weight vectors. The risk system module is used to determine the risk system for imported and exported special biological resources based on the risk coefficient and the types of special biological resources imported and exported.
[0006] Compared with the prior art, the beneficial effects of the present invention are: In this embodiment of the invention, the method described herein obtains pre-selected safety indicators for imported and exported special biological resources, which cover three levels of indicators. Based on the standard values and weight vectors of the three levels of indicators, the standard values of the corresponding secondary indicators are calculated. Based on the standard values and weight vectors of the secondary indicators, the standard values of the corresponding primary indicators are calculated. Based on the standard values and weight vectors of the primary indicators, the risk coefficient of imported and exported special biological resources is determined. This achieves a layer-by-layer analysis of the three levels of indicators, the secondary levels, and the primary levels, while also incorporating the overall consideration of the standard values and weight vectors of the primary indicators, thus ensuring the accuracy of the risk coefficient for imported and exported special biological resources.
[0007] Therefore, determining the risk system for imported and exported special biological resources based on the risk coefficient and the types of these resources is compatible with both, thus improving the accuracy of risk control. Attached Figure Description
[0008] Figure 1 This is a flowchart illustrating the risk assessment method for importing and exporting special biological resources in an embodiment of the present invention. Figure 2 This is a flowchart illustrating step S11 of the risk assessment method for importing and exporting special biological resources in this embodiment of the invention. Figure 3 This is a flowchart illustrating step S12 in the risk assessment method for importing and exporting special biological resources in this embodiment of the invention. Figure 4 This is a flowchart illustrating step S13 in the risk assessment method for importing and exporting special biological resources in this embodiment of the invention. Figure 5 This is a flowchart illustrating step S14 of the risk assessment method for importing and exporting special biological resources in this embodiment of the invention. Figure 6 This is a flowchart illustrating step S15 of the risk assessment method for importing and exporting special biological resources in this embodiment of the invention. Figure 7 This is a schematic diagram of the structural composition of the risk assessment system for importing and exporting special biological resources in an embodiment of the present invention. Detailed Implementation
[0009] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
[0010] Please see Figures 1 to 7 A risk assessment method for the import and export of special biological resources, comprising robotic arm components including a robotic arm shell, a robotic arm connector, rotating parts, etc.; the risk assessment method for the import and export of special biological resources includes: Step S11: Obtain the pre-selected safety indicators for special biological resources entering and leaving the country. The safety indicators for special biological resources entering and leaving the country cover three levels of indicators. Step S12: Calculate the standard values of the corresponding secondary indicators based on the standard values of the tertiary indicators and their weight vectors; Step S13: Calculate the standard values of the corresponding primary indicators based on the standard values of the secondary indicators and their weight vectors; Step S14: Determine the risk coefficient of special biological resources entering or leaving the country based on the standard values and weight vectors of the primary indicators; Step S15: Determine the risk system for imported and exported special biological resources based on the risk coefficients and types of imported and exported special biological resources; refer to Figure 2 In step S11, the safety indicators for imported and exported special biological resources are obtained in advance. The safety indicators for imported and exported special biological resources cover three levels of indicators. In the specific implementation of this invention, the specific steps are as follows: S111: Collect images of special biological resources entering and leaving the country, identify multiple object features based on the images of special biological resources entering and leaving the country, and determine the overall morphology of special biological resources entering and leaving the country based on the morphology of multiple object features and their corresponding spatial locations. S112: Based on the overall morphology and indicator mapping relationship of imported and exported special biological resources, determine the pre-selected safety indicators for imported and exported special biological resources. The safety indicators for imported and exported special biological resources include three-level indicators, which involve pathogens or genetic diversity.
[0011] In the embodiments of this application, images of special biological resources entering and leaving the country are collected, and multiple object features are determined based on the recognition of the images of special biological resources entering and leaving the country. The overall shape of the special biological resources entering and leaving the country is determined based on the shape of the multiple object features and their corresponding spatial positions. This approach takes into account the overall shape of the multiple object features and their corresponding spatial positions, ensuring the accuracy of the overall shape of the special biological resources entering and leaving the country.
[0012] At this time, use professional image acquisition equipment (such as high-resolution cameras, infrared cameras, microscopes, etc.) to photograph special biological resources entering and leaving the country; ensure that the lighting, angle, distance and other conditions of the shooting environment are suitable in order to capture clear and complete image information.
[0013] Image recognition technologies (such as deep learning algorithms, edge detection, and texture analysis) are used to analyze the acquired images and identify multiple object features on biological resources. Based on the identified object features and their corresponding spatial relationships, techniques such as 3D reconstruction and image stitching are used to reconstruct or infer the overall morphology of special biological resources entering or leaving the country. This helps to gain a more comprehensive understanding of the appearance characteristics of biological resources and provides a foundation for subsequent safety assessments.
[0014] Furthermore, based on the overall morphology of imported and exported special biological resources and the index mapping relationship, pre-selected safety indicators for imported and exported special biological resources are determined. The safety indicators for imported and exported special biological resources include three-level indicators, which involve pathogens or genetic diversity.
[0015] At this point, a deep understanding of the mapping relationship between the overall morphology of special biological resources entering and leaving the country and the preset safety indicators is usually based on professional knowledge, historical data or expert experience. The mapping relationship involves multiple aspects of biological resources, such as morphological characteristics (e.g., shape, size, color), ecological characteristics (e.g., growth environment, food chain position), and genetic characteristics (e.g., gene sequence, genetic diversity), which are associated with specific safety indicators.
[0016] Based on the mapping relationship between the overall morphology and the indicators, the safety indicators for the pre-selected special biological resources entering and leaving the country are determined. These indicators are usually divided into three levels, among which the third-level indicators are the most specific and direct assessment parameters. For key aspects such as pathogens or genetic diversity, the third-level indicators involve specific pathogen types, degree of genetic variation, gene sequence characteristics, etc.
[0017] Combining the overall morphology of special biological resources entering and leaving the country with the pre-set mapping relationship of safety indicators, and determining the corresponding safety indicators based on the actual morphological characteristics of the biological resources, requires the use of professional analysis tools or software to match morphological characteristics with indicators.
[0018] refer to Figure 3 In step S12, the standard values of the corresponding secondary indicators are calculated based on the standard values of the tertiary indicators and their weight vectors. In the specific implementation of this invention, the specific steps are as follows: S121: Determine the standard values of the tertiary indicators based on the tracing of the tertiary indicators, and determine the weight vector of the tertiary indicators according to the tertiary indicators and the third weight relationship table. S122: The standard values and weight vectors of the tertiary indicators are weighted and the standard values of the corresponding secondary indicators are calculated. At this point, the tertiary indicators are gradually improved to the secondary indicators to complete the third-level analysis. In the embodiments of this application, the standard values of the three-level indicators are determined based on the tracing of the three-level indicators, and the weight vectors of the three-level indicators are determined according to the three-level indicators and the third weight relationship table. This approach is compatible with the overall consideration of the three-level indicators and the third weight relationship table, ensuring the accuracy of the weight vectors of the three-level indicators.
[0019] At this point, the standard values of the tertiary indicators serve as the benchmark for measuring the safety of biological resources. They are usually determined based on scientific data, historical records, industry standards, or expert opinions. Traceability refers to tracking the source and basis of these standard values to ensure their accuracy and reliability. For each tertiary indicator, it is necessary to collect relevant scientific literature, historical data, industry standards, or expert scores, and combine this information to determine a reasonable standard value. This standard value is a specific numerical value (such as the threshold for pathogen load) and also a range (such as the normal fluctuation range of the genetic diversity index).
[0020] The weight vector reflects the relative importance of different tertiary indicators in assessing overall security. The third weight table is a matrix that lists the relative importance comparisons among all tertiary indicators. The weight of each tertiary indicator is obtained by calculating the eigenvector of this matrix or by using other methods (such as normalization after expert scoring). At this point, a third weight table containing all tertiary indicators is constructed. Then, the weights are calculated using AHP (Analytic Hierarchy Process) or other methods. The AHP method typically involves constructing a pairwise comparison matrix, consistency testing, and eigenvector calculation. If expert scoring is used, it is necessary to collect opinions from multiple experts and normalize the scores to obtain the weight of each indicator.
[0021] Furthermore, the standard values and weight vectors of the tertiary indicators are weighted, and the standard values of the corresponding secondary indicators are calculated. At this point, the tertiary indicators are gradually improved to the secondary indicators to complete the third-level analysis.
[0022] At this point, the standard value of each tertiary indicator is multiplied by its corresponding weight. This is done to reflect the relative contribution of different indicators in evaluating the secondary indicators. The weighted value will be used for subsequent calculations. For each tertiary indicator, its standard value and weight are found, and then they are multiplied together. This will give a weighted value that represents the degree of contribution of the indicator to the standard value of the secondary indicator.
[0023] After obtaining the weighted values of all tertiary indicators, these values need to be summed (or other aggregation methods should be used depending on the specific situation) to obtain the standard value of the secondary indicator. This standard value reflects the overall level or state of the secondary indicator under the processing of the tertiary indicators. At this time, a new variable is created to store the standard value of the secondary indicator, and the weighted values of all tertiary indicators are summed. The result is the standard value of the secondary indicator.
[0024] refer to Figure 4 In step S13, the standard values of the corresponding primary indicators are calculated based on the standard values of the secondary indicators and their weight vectors. In the specific implementation of this invention, the specific steps are as follows: S131: Determine the standard value of the secondary indicator based on the source of the secondary indicator, and determine the weight vector of the secondary indicator according to the secondary indicator and the second weight relationship table; S132: The standard values and weight vectors of the secondary indicators are weighted and the standard values of the corresponding primary indicators are calculated. At this point, the secondary indicators are gradually improved to the primary indicators to complete the second-level analysis.
[0025] In the embodiments of this application, the standard value of the secondary indicator is determined based on the tracing of the secondary indicator, and the weight vector of the secondary indicator is determined according to the secondary indicator and the second weight relationship table. This approach takes into account the overall consideration of the secondary indicator and the second weight relationship table, ensuring the accuracy of the weight vector of the secondary indicator.
[0026] At this point, a wide range of scientific literature, historical data, industry standards, policy documents, and expert opinions related to the secondary indicators are collected to ensure the comprehensiveness and accuracy of the data. The collected data is then screened to remove inaccurate, incomplete, or biased data. Simultaneously, the data is verified to ensure its authenticity and reliability. Based on the screened and verified data, combined with expert opinions and industry standards, the standard value of the secondary indicator is determined. This standard value is a specific numerical value, as well as a range or threshold. Optionally, the above steps need to be performed for each secondary indicator to ensure the accuracy and reasonableness of its standard value.
[0027] The weight vector is determined based on the secondary indicators and the second weight relationship table. This requires clarifying the relative importance relationships between all secondary indicators, which is done through expert scoring, questionnaires, group discussions, etc. Then, a weight relationship table, also known as a judgment matrix, is constructed based on these relationships. The weight vector is calculated using appropriate methods (such as AHP, entropy weighting, principal component analysis, etc.). These methods typically involve mathematical processing of the judgment matrix to obtain the weight of each secondary indicator. The calculated weight vector is then verified to ensure its rationality and consistency, through consistency checks, sensitivity analysis, etc.
[0028] Optionally, assume there are three secondary indicators: A (environmental quality), B (biodiversity), and C (ecosystem service function). A weighted relationship table is constructed through expert scoring and group discussion, where the relative importance of A to B and C is 3 and 2 respectively (meaning A is 3 times more important than B and 2 times more important than C); the relative importance of B to C is 1.5 (meaning B is 1.5 times more important than C). The weight vector is calculated using the Analytic Hierarchy Process (AHP), resulting in weights of 0.54, 0.297, and 0.163 for A, B, and C respectively (these weight values are derived mathematically, involving complex matrix operations and normalization). A consistency check is performed on the weight vector to ensure it meets the consistency requirements.
[0029] Furthermore, the standard values and weight vectors of the secondary indicators are weighted and the standard values of the corresponding primary indicators are calculated. At this point, the secondary indicators are gradually improved to the primary indicators to complete the second-level analysis.
[0030] At this point, ensure that the standard values and corresponding weight vectors of all secondary indicators have been obtained. These standard values should be scientifically validated and reasonably set, and the weight vectors should be calculated using appropriate methods (such as AHP, entropy weighting, etc.). For each secondary indicator, multiply its standard value by its corresponding weight to obtain a weighted value. This weighted value reflects the importance of the indicator in evaluating the primary indicator. Record the weighted value of each secondary indicator for later summarization and calculation. Optionally, assume there are n secondary indicators, denoted as B1, B2, ..., Bn, with standard values V1, V2, ..., Vn, and a weight vector W = [w1, w2, ..., wn]. For each secondary indicator Bi (i = 1, 2, ..., n), calculate its weighted value Wi_V = wi. Vi.
[0031] The weighted values of all secondary indicators are summed to obtain the comprehensive weighted value of the primary indicator. This comprehensive weighted value reflects the sum of the contributions of all secondary indicators to the primary indicator. Depending on the specific situation, the comprehensive weighted value needs to be further processed, such as normalization or standardization, to obtain a more reasonable and easily understood standard value for the primary indicator. After the above processing, the standard value of the primary indicator is obtained, which is used for subsequent evaluation, comparison, or decision-making. Optionally, for n secondary indicators, their weighted values are W1_V, W2_V, ..., Wn_V, respectively. The comprehensive weighted value of the primary indicator, Sum_W_V = Σ(Wi_V) (i = 1, 2, ..., n), is calculated. If necessary, Sum_W_V is further processed to obtain the standard value H of the primary indicator.
[0032] refer to Figure 5 In step S14, the risk coefficient of special biological resources entering and leaving the country is determined based on the standard value of the primary indicator and its weight vector. In the specific implementation of this invention, the specific steps are as follows: S141: Collect the standard values of the primary indicators, and determine the weight vector of the primary indicators based on the primary indicators and the first weight relationship table; S142: Calculate the standard values and weight vectors of the primary indicators, and determine the risk coefficients of special biological resources entering and leaving the country based on the calculation of the standard values and weight vectors of the primary indicators; the primary indicators include: biological information, inspection and approval, packaging characteristics, logistics links and emergency management.
[0033] In the embodiments of this application, standard values of primary indicators are collected, and weight vectors of primary indicators are determined based on primary indicators and a first weight relationship table. This approach takes into account the overall considerations of primary indicators and the first weight relationship table, ensuring the accuracy of the weight vectors of primary indicators.
[0034] At this point, it is necessary to clarify which are the primary indicators. In this scenario, primary indicators include bioinformatics, inspection and approval, packaging characteristics, logistics, and emergency management. For each primary indicator, relevant data and information are collected, which come from historical records, industry standards, expert opinions, field surveys, etc. The collected data is then screened to remove inaccurate, incomplete, or biased data. At the same time, the data is verified to ensure its authenticity and reliability. Based on the screened and verified data, combined with industry standards, expert opinions, and actual needs, a standard value for each primary indicator is determined. This standard value is a specific numerical value, as well as a range or threshold.
[0035] Optionally, assuming an assessment of the risks of importing and exporting special biological resources is underway, the following data would be collected for each primary indicator: Biological information: data such as species classification, ecological niche, and protection level, combined with expert opinions, to determine a standard value of 85 (assuming a maximum score of 100, with higher values indicating lower risk); Inspection and approval: data such as the completeness of the approval process and approval time, combined with industry standards, to determine a standard value of 90; Packaging characteristics: data such as packaging materials, sealing, and labeling completeness, combined with on-site survey results, to determine a standard value of 75; Logistics: data such as transportation methods, transportation time, and number of transshipments, combined with historical records, to determine a standard value of 80; Emergency management: data such as the completeness of emergency plans and emergency response speed, combined with expert opinions, to determine a standard value of 65.
[0036] The relative importance relationships among all primary indicators are clarified through methods such as expert scoring, questionnaires, and group discussions. Then, a weight relationship table, also known as a judgment matrix, is constructed based on these relationships. The weight vectors are calculated using appropriate methods (such as AHP, entropy weighting, principal component analysis, etc.). These methods typically involve mathematical processing of the judgment matrix to obtain the weight of each primary indicator. The calculated weight vectors are then verified to ensure their rationality and consistency through methods such as consistency checks and sensitivity analysis.
[0037] Optionally, assuming that the following weighted relationship table (simplified version) is constructed through expert scoring and group discussion: the importance of biometrics relative to inspection and approval is 3, relative to packaging characteristics is 4, relative to logistics is 2, and relative to emergency management is 5; the importance of inspection and approval relative to other indicators follows the same pattern; using the AHP method or other suitable methods, the weight vector is calculated as [0.35, 0.25, 0.15, 0.2, 0.05]; the standard values of the primary indicators have been collected: biometrics = 85, inspection and approval = 90, packaging characteristics = 75, logistics = 80, emergency management = 65; the weight vector is also determined as [0.35, 0.25, 0.15, 0.2, 0.05]; next, these standard values and weight vectors will be used in step S142 to calculate the risk coefficient of imported and exported special biological resources.
[0038] Furthermore, the standard values and weight vectors of the primary indicators are calculated, and the risk coefficients for importing and exporting special biological resources are determined based on these calculations. The primary indicators include: bioinformation, inspection and approval, packaging characteristics, logistics, and emergency management. This approach incorporates a holistic consideration of the calculations of the standard values and weight vectors of the primary indicators, ensuring the accuracy of the risk coefficients for importing and exporting special biological resources. Simultaneously, it achieves a hierarchical analysis from tertiary indicators to secondary indicators to primary indicators, and also incorporates a holistic consideration of the standard values and weight vectors of the primary indicators, guaranteeing the accuracy of the risk coefficients for importing and exporting special biological resources.
[0039] At this point, ensure that standard values for all primary indicators (bioinformatics, inspection and approval, packaging characteristics, logistics, and emergency management) have been collected and determined. These standard values should be based on reliable data sources, such as historical records, industry standards, and expert assessments. Ensure that the weights for all primary indicators have been calculated and determined according to the first weighting relationship table. These weights reflect the relative importance of each primary indicator in assessing the overall risk.
[0040] Multiply the standard value of each primary indicator by its corresponding weight to obtain the weighted value of that indicator. This weighted value reflects the degree of contribution of that indicator to the overall risk coefficient. Sum the weighted values of all primary indicators to obtain the preliminary result of the overall risk coefficient. This result reflects the comprehensive impact of all primary indicators on the overall risk.
[0041] Based on the weighted summation results, the overall risk level is analyzed. This result is a specific numerical value, as well as a range or level. Based on the analysis results, the risk coefficient for the import and export of special biological resources is determined. This risk coefficient is used in subsequent decision-making, risk management, or risk assessment reports.
[0042] Optionally, it is assumed that the standard values and weights of the following primary indicators have been determined: Bioinformatics: standard value = 85, weight = 0.3; Inspection and approval: standard value = 90, weight = 0.25; Packaging characteristics: standard value = 70, weight = 0.15; Logistics: standard value = 80, weight = 0.2; Emergency management: standard value = 65, weight = 0.1. Now, following the steps above, calculate: Weighted value of biological information = 85 0.3 = 25.5; Weighted value for inspection and approval = 90 0.25 = 22.5; Weighted value of packaging characteristics = 70 0.15 = 10.5; Weighted value for logistics links = 80 0.2 = 16; Weighted value for emergency management = 65 0.1 = 6.5; Preliminary result of overall risk coefficient = 25.5 + 22.5 + 10.5 + 16 + 6.5 = 81.
[0043] Assume the risk coefficient is divided into several levels: below 70 is low risk, 70-85 is medium risk, and above 85 is high risk. According to the calculation results, the overall risk coefficient is 81, thus belonging to the medium risk level. Please note that the standard values and weights in the above example are hypothetical and are only used to illustrate the calculation steps. In practical applications, these values should be determined based on specific data and assessment needs. In addition, the risk coefficient classification should also be formulated according to the actual application scenario and assessment standards.
[0044] In one embodiment of this application, it is assumed that there are the following primary indicator standard values and weights: Bioinformatics: standard value = 85, weight = 0.3; Inspection and approval: standard value = 90, weight = 0.25; Packaging characteristics: standard value = 75, weight = 0.15; Logistics and emergency management: due to space limitations, it is assumed that they are combined into one indicator, with a standard value of 80 (combining the two), and a weight of 0.3; according to the standard values and weights, bioinformatics is 85 (within the range of 80-90), inspection and approval is 90 (within the range of 85-95), packaging characteristics are 75 (within the range of 70-80), and the combined indicator is 80 (within the range of 75-85); therefore, according to the risk coefficient matching table, the risk coefficient is "medium risk".
[0045] The risk coefficient matching table is shown in Table 1: Table 1 Risk Coefficient Matching Table refer to Figure 6 In step S15, a risk system for imported and exported special biological resources is determined based on the risk coefficient and the types of imported and exported special biological resources. In the specific implementation of this invention, the specific steps are as follows: S151: Collect the risk coefficients of special biological resources entering and leaving the country, and determine multiple sub-risk coefficients of the special biological resources entering and leaving the country under different dimensions based on the risk coefficients of the special biological resources entering and leaving the country and the corresponding types of special biological resources entering and leaving the country. S152: Determine the corresponding risk control logic based on multiple sub-risk coefficients and control mapping relationships; determine the risk system for importing and exporting special biological resources based on multiple risk control logics and the types of special biological resources exported.
[0046] In the embodiments of this application, risk coefficients of special biological resources entering and leaving the country are collected, and multiple sub-risk coefficients of the species are determined based on the risk coefficients of special biological resources entering and leaving the country and the corresponding species of special biological resources. This approach takes into account both the risk coefficients of special biological resources entering and leaving the country and the corresponding species of special biological resources, ensuring the accuracy of the multiple sub-risk coefficients of the species under different dimensions.
[0047] At this point, the overall risk coefficients of special biological resources entering and leaving the country, calculated in previous steps (such as S14), are collected. These risk coefficients are calculated based on a series of assessment indicators (such as bioinformatics, inspection and approval, packaging characteristics, logistics links, emergency management, etc.). The collected risk coefficients are verified to ensure their accuracy, completeness and consistency. This involves comparison with the original data, expert review or verification using historical data. The verified risk coefficients are then classified and organized according to the types of special biological resources to provide basic data for subsequent steps.
[0048] Based on the characteristics and management needs of special biological resources entering and leaving the country, the dimensions of assessment are determined, including biosafety, ecological impact, human health, trade compliance, and species protection. For each dimension, based on the overall risk coefficient and the species characteristics of the special biological resources, a sub-risk coefficient is further calculated, which is carried out through expert scoring, mathematical models, historical data analysis and other methods. Expert scoring: Experts in relevant fields are invited to score the risks of specific types of special biological resources across each dimension; Mathematical model: Using existing mathematical models or algorithms, input the overall risk coefficient and category characteristics into the model to calculate the sub-risk coefficients; Historical data analysis: Analyze the risk performance of similar species of special biological resources in each dimension in historical data, and calculate the sub-risk coefficient based on this.
[0049] Furthermore, the corresponding risk control logic is determined based on multiple sub-risk coefficients and control mapping relationships; the risk system for importing and exporting special biological resources is determined based on multiple risk control logics and the types of special biological resources exported, which is compatible with the risk coefficients and types of special biological resources imported and exported, and improves the accuracy of the risk system for importing and exporting special biological resources.
[0050] At this point, a set of control mapping relationships is established, that is, the association between different sub-risk coefficients and corresponding risk control measures. This is usually determined based on factors such as regulations, policies, industry standards, historical experience, and expert opinions. For each sub-risk coefficient, the corresponding risk control measures are determined according to the control mapping relationship. These measures include, but are not limited to, monitoring, isolation, quarantine, approval, import / export restrictions, and licensing requirements. The matched control measures are then integrated to form a complete risk control logic. This usually involves the coordination and cooperation of multiple departments, institutions, or stakeholders to ensure the effective implementation of control measures.
[0051] The risk management logic for different types of special biological resources will be integrated to form a unified risk management system. This system should comprehensively cover all types of special biological resources and provide differentiated control measures for different risk levels. The integrated risk system will be optimized to ensure that it is both effective and efficient in actual operation. This involves adjusting control measures, simplifying processes, and allocating resources rationally. Based on the risk system, a detailed implementation plan will be developed, including a timeline, allocation of responsibilities, resource requirements, and monitoring and evaluation mechanisms.
[0052] Please see Figure 7 , Figure 7 This is a schematic diagram of the structural composition of the risk assessment system for the import and export of special biological resources in this embodiment of the invention; the risk assessment system for the import and export of special biological resources includes: The acquisition module 21 is used to acquire the pre-selected safety indicators for special biological resources entering and leaving the country. The safety indicators for special biological resources entering and leaving the country cover three levels of indicators. The secondary indicator module 22 is used to calculate the standard values of the corresponding secondary indicators based on the standard values of the tertiary indicators and their weight vectors. The first-level indicator module 23 is used to calculate the standard value of the corresponding first-level indicator based on the standard value of the second-level indicator and its weight vector. Risk coefficient module 24 is used to determine the risk coefficient of special biological resources entering and leaving the country based on the standard value of the primary indicator and its weight vector; Risk system module 25 is used to determine the risk system for imported and exported special biological resources based on the risk coefficient and the types of imported and exported special biological resources.
[0053] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
Claims
1. A risk assessment method for the import and export of special biological resources, characterized in that, include: Obtain pre-selected safety indicators for special biological resources entering and leaving the country; the safety indicators for special biological resources entering and leaving the country cover three levels of indicators. Based on the standard values of the tertiary indicators and their weight vectors, calculate the standard values of the corresponding secondary indicators. Based on the standard values of the secondary indicators and their weight vectors, calculate the standard values of the corresponding primary indicators. The risk coefficients for importing and exporting special biological resources are determined based on the standard values and weight vectors of the primary indicators. The risk system for importing and exporting special biological resources is determined based on the risk coefficient and the types of special biological resources imported and exported.
2. The risk assessment method for importing and exporting special biological resources according to claim 1, characterized in that, The process of acquiring pre-selected safety indicators for imported and exported special biological resources, which encompass three levels of indicators, including: Images of special biological resources entering and leaving the country are collected, and multiple object features are determined based on the recognition of these images. The overall morphology of the special biological resources entering and leaving the country is determined based on the shape of these multiple object features and their corresponding spatial location. Based on the overall morphology and indicator mapping relationship of imported and exported special biological resources, the safety indicators of imported and exported special biological resources are determined in advance. The safety indicators of imported and exported special biological resources include three-level indicators, which involve pathogens or genetic diversity.
3. The risk assessment method for importing and exporting special biological resources according to claim 1, characterized in that, The step of calculating the standard values of the corresponding secondary indicators based on the standard values of the tertiary indicators and their weight vectors includes: The standard values of the tertiary indicators are determined based on the tracing of the tertiary indicators, and the weight vectors of the tertiary indicators are determined according to the tertiary indicators and the third weight relationship table. The standard values and weight vectors of the tertiary indicators are weighted, and the standard values of the corresponding secondary indicators are calculated. Then, the tertiary indicators are gradually improved to the secondary indicators to complete the third-level analysis.
4. The risk assessment method for importing and exporting special biological resources according to claim 1, characterized in that, The step of calculating the standard values of the corresponding primary indicators based on the standard values of the secondary indicators and their weight vectors includes: The standard values of the secondary indicators are determined based on the source of the secondary indicators, and the weight vectors of the secondary indicators are determined according to the secondary indicators and the second weight relationship table.
5. The risk assessment method for importing and exporting special biological resources according to claim 4, characterized in that, Based on the standard values and weight vectors of the secondary indicators, the standard values of the corresponding primary indicators are calculated, including: The standard values and weight vectors of the secondary indicators are weighted, and the standard values of the corresponding primary indicators are calculated. Then, the secondary indicators are gradually improved to the primary indicators to complete the second-level analysis.
6. The risk assessment method for importing and exporting special biological resources according to claim 1, characterized in that, The determination of the risk coefficient for imported and exported special biological resources based on the standard values and weight vectors of primary indicators includes: Collect the standard values of the primary indicators, and determine the weight vector of the primary indicators based on the primary indicators and the first weight relationship table.
7. The risk assessment method for importing and exporting special biological resources according to claim 6, characterized in that, The method of determining the risk coefficient for importing and exporting special biological resources based on the standard values and weight vectors of primary indicators also includes: The standard values and weight vectors of the primary indicators are calculated, and the risk coefficients for importing and exporting special biological resources are determined based on the calculation of the standard values and weight vectors of the primary indicators. The primary indicators include: biological information, inspection and approval, packaging characteristics, logistics links, and emergency management.
8. The risk assessment method for importing and exporting special biological resources according to claim 1, characterized in that, The risk system for determining the import and export of special biological resources based on the risk coefficient and the types of special biological resources imported and exported includes: Risk coefficients for imported and exported special biological resources are collected, and based on these risk coefficients and the corresponding types of imported and exported special biological resources, multiple sub-risk coefficients for each type are determined under different dimensions.
9. The risk assessment method for importing and exporting special biological resources according to claim 8, characterized in that, The method for determining the risk system for importing and exporting special biological resources based on the risk coefficient and the types of special biological resources also includes: The corresponding risk control logic is determined based on multiple sub-risk coefficients and control mapping relationships; the risk system for importing and exporting special biological resources is determined based on multiple risk control logics and the types of special biological resources exported.
10. A risk assessment system for the import and export of special biological resources, characterized in that, The risk assessment system for importing and exporting special biological resources is applied to the risk assessment method for importing and exporting special biological resources as described in any one of claims 1-9, and the risk assessment system for importing and exporting special biological resources includes: The acquisition module is used to acquire pre-selected safety indicators for special biological resources entering and leaving the country. The safety indicators for special biological resources entering and leaving the country cover three levels of indicators. The secondary indicator module is used to calculate the standard values of the corresponding secondary indicators based on the standard values and weight vectors of the tertiary indicators. The primary indicator module is used to calculate the standard value of the corresponding primary indicator based on the standard value of the secondary indicator and its weight vector. The risk coefficient module is used to determine the risk coefficient of special biological resources entering or leaving the country based on the standard values of primary indicators and their weight vectors. The risk system module is used to determine the risk system for imported and exported special biological resources based on the risk coefficient and the types of special biological resources imported and exported.