Aquatic animal invasion risk assessment system, method, device and electronic equipment

Abstract

In the aquatic organism invasion risk assessment system provided in the embodiments of the present application, the target risk factor required in the risk assessment process of the specific aquatic organism invading the specific water area is obtained through the assessment and calculation of the risk factor assessment terminal and the server, the risk assessment value of the specific aquatic organism invading the specific water area is obtained through the assessment and calculation of the target risk factor by the risk value assessment terminal and the server, and the risk degree of the specific aquatic organism invading the specific water area can be known through the risk assessment value. Therefore, the aquatic organism invasion risk assessment system provided in the embodiments of the present application can assess the risk degree of the specific aquatic organism invading the specific water area, and by analogy, the risk degree of the specific aquatic organism invading any water area other than the specific water area can also be assessed, and risk avoidance measures are taken according to the risk assessment result.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to aquatic animal invasion risk assessment systems, methods, devices and electronic equipment. Background Art

[0002] The invasion of alien aquatic animals can disrupt the local ecological balance, potentially leading to a decrease in the number of native species or even extinction. It can also alter the local aquatic food chain and affect the nutrient cycle of local aquatic ecosystems. At the same time, the invasion of alien aquatic animals can cause economic losses to the local aquaculture, fisheries, agriculture, and tourism industries, and in severe cases, can spread parasites and diseases. In order to minimize the series of problems caused by the invasion of alien aquatic animals, a feasible approach is to assess the risk of aquatic organisms invading waters and adopt risk avoidance measures based on the results of the risk assessment. Therefore, in order to minimize the series of problems caused by the invasion of alien aquatic animals, how to assess the risk of aquatic organisms invading waters is the first issue that needs to be addressed. Summary of the Invention

[0003] The embodiments of the present application provide an aquatic animal invasion risk assessment system to assess the risk of aquatic animals invading waters.

[0004] An embodiment of the present application provides an aquatic biological invasion risk assessment system, including: a server, a risk factor assessment terminal and a risk value assessment terminal; the risk factor assessment terminal is used to send an initial risk factor acquisition request message to the server, obtain the initial risk factor returned by the server, obtain a first importance assessment value of the initial risk factor, and send the first importance assessment value to the server, the initial risk factor is an initial risk factor related to a specific risk assessment scenario, the specific risk assessment scenario is a scenario for assessing the risk of invasion of a specific aquatic biological body into a water area, and the first importance assessment value is used to represent the assessment value output by the risk factor assessment terminal for the importance of the initial risk factor in the specific risk assessment scenario; the server is used to obtain a second importance assessment value of the initial risk factor based on the first importance assessment value, and select a target risk factor related to the specific risk assessment scenario from the initial risk factor based on the second importance assessment value, and the second importance assessment value is used to represent the server's target risk factor for the specific risk assessment scenario. The evaluation value outputted for the importance of the initial risk factor in a specific risk assessment scenario, the target risk factor is the risk factor required to assess the risk of specific aquatic organisms invading waters in the specific risk assessment scenario; the risk value assessment terminal is used to send a target risk factor acquisition request message to the server for requesting to obtain the target risk factor, obtain the target risk factor returned by the server in response to the target risk factor acquisition request message, obtain the first evaluation value of the target risk factor in the target risk assessment project as the first evaluation value of the target risk factor, and send the first evaluation value of the target risk factor to the server, where the target risk assessment project is a project that assesses the risk of specific aquatic organisms invading specific waters; the server is also used to obtain the second evaluation value of the target risk factor in the target risk assessment project based on the first evaluation value of the target risk factor as the second evaluation value of the target risk factor, and obtain the risk assessment value for the target risk assessment project based on the second evaluation value of the target risk factor.

[0005] Compared with the prior art, this application has the following advantages:

[0006] In the aquatic organism invasion risk assessment system provided in the embodiments of the present application, a target risk factor required for use in the risk assessment process for a specific aquatic organism invasion of a water area is obtained through evaluation and calculation by a risk factor assessment terminal and a server. A risk assessment value for the specific aquatic organism invasion of a specific water area is obtained through evaluation and calculation of the target risk factor by a risk value assessment terminal and a server. The risk assessment value can be used to determine the risk level of the specific aquatic organism invasion of a specific water area. Therefore, the aquatic organism invasion risk assessment system provided in the embodiments of the present application can assess the risk level of a specific aquatic organism invasion of a specific water area. Similarly, it can also assess the risk level of a specific aquatic organism invasion of any water area other than the specific water area, and adopt risk mitigation measures based on the risk assessment results. Furthermore, by obtaining the target risk factor required for use in the risk assessment process for a specific aquatic organism invasion of a water area in advance through the risk factor assessment terminal, risk factors unrelated to the risk assessment process can be prevented from interfering with the risk assessment process. Furthermore, because the number of target risk factors is far less than the number of initial risk factors, the workload during the risk assessment process is reduced, improving the assessment efficiency of the target risk assessment project. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in this application. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0008] Figure 1 A schematic diagram of an aquatic organism invasion risk assessment system provided in the first embodiment of the present application;

[0009] Figure 2a A schematic diagram of a first risk factor selection interface provided in the first embodiment of the present application;

[0010] Figure 2b A schematic diagram of the second risk factor selection interface provided in the first embodiment of the present application;

[0011] Figure 3 A schematic diagram of creating a universal interface for the scenario provided in the first embodiment of the present application;

[0012] Figure 4 A schematic diagram of a common scene display interface provided in the first embodiment of the present application;

[0013] Figure 5a A schematic diagram of a first risk factor importance assessment interface provided in the first embodiment of the present application;

[0014] Figure 5bA schematic diagram of the second risk factor importance assessment interface provided in the first embodiment of the present application;

[0015] Figure 5c A schematic diagram of the third risk factor importance assessment interface provided in the first embodiment of the present application;

[0016] Figure 6a A schematic diagram of the first target risk assessment project interface provided in the first embodiment of the present application;

[0017] Figure 6b A schematic diagram of the second target risk assessment project interface provided in the first embodiment of the present application;

[0018] Figure 6c A schematic diagram of the third target risk assessment project interface provided in the first embodiment of the present application;

[0019] Figure 7 A schematic diagram of an aquatic organism invasion risk assessment system provided in a fourth embodiment of the present application;

[0020] Figure 8 A schematic diagram of the location of the video monitor and the sampling location of the environmental samples;

[0021] Figure 9 A schematic diagram of an aquatic organism invasion risk assessment system provided in a fifth embodiment of the present application;

[0022] Figure 10 Schematic diagram of the aquatic organism invasion risk assessment method provided in the seventh embodiment of the present application. DETAILED DESCRIPTION

[0023] The following description sets forth many specific details to facilitate a thorough understanding of the embodiments of the present application. However, the embodiments of the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotations of the embodiments of the present application. Therefore, the embodiments of the present application are not limited to the specific implementations disclosed below.

[0024] In order to enable those skilled in the art to better understand the technical solutions of the embodiments of the present application, the technical solutions in the embodiments of the present application are clearly and completely described below in conjunction with the accompanying drawings, and the risk assessment process of Tilapia chinensis invading the first water area is taken as an example to further illustrate the embodiments of the present application.

[0025] First embodiment

[0026] The first embodiment of the present application provides a system for assessing the risk of aquatic biological invasion, referring to Figure 1The aquatic biological invasion risk assessment system in this embodiment includes a server 102, a risk factor assessment terminal 103 and a risk value assessment terminal 104; the risk factor assessment terminal 103 is used to send an initial risk factor acquisition request message to the server 102, obtain the initial risk factor returned by the server 102, obtain the first importance assessment value of the initial risk factor, and send the first importance assessment value to the server 102. The initial risk factor is an initial risk factor related to a specific risk assessment scenario. The specific risk assessment scenario is a scenario for assessing the risk of invasion of a specific aquatic biological organism into a water area. The first importance assessment value is used to represent the assessment value output by the risk factor assessment terminal for the importance of the initial risk factor in the specific risk assessment scenario; the server 102 is used to obtain a second importance assessment value of the initial risk factor based on the first importance assessment value, and select a target risk factor related to the specific risk assessment scenario from the initial risk factor based on the second importance assessment value. The second importance assessment value is used to represent The server 102 outputs an assessment value for the importance of the initial risk factor in a specific risk assessment scenario. The target risk factor is a risk factor required to assess the risk of invasion of a specific aquatic organism into a water body in the specific risk assessment scenario. The risk value assessment terminal 104 is used to send a target risk factor acquisition request message to the server for requesting to obtain the target risk factor, obtain the target risk factor returned by the server 102 in response to the target risk factor acquisition request message, obtain a first assessment value of the target risk factor in the target risk assessment project as the first assessment value of the target risk factor, and send the first assessment value of the target risk factor to the server. The target risk assessment project is a project that assesses the risk of invasion of a specific water body by a specific aquatic organism. The server 102 is also used to obtain a second assessment value of the target risk factor in the target risk assessment project based on the first assessment value of the target risk factor as the second assessment value of the target risk factor, and obtain a risk assessment value for the target risk assessment project based on the second assessment value of the target risk factor. In this embodiment, the service terminal 102, the risk factor assessment terminal 103, and the risk value assessment terminal 104 can each be one or more. The risk factor assessment terminal 103 and the risk value assessment terminal 104 can be the same terminal. That is, the risk factor assessment terminal 103 and the risk value assessment terminal 104 can retain one of the terminals, and the retained assessment terminal performs all operations of both the risk factor assessment terminal 103 and the risk value assessment terminal 104. The number of initial risk factors can be multiple.

[0027] The aquatic organism invasion risk assessment system provided in this embodiment further includes: a management terminal 101, configured to send a general risk factor acquisition request message to a server 102, obtain the general risk factors returned by the server 102, select risk factors relevant to a specific risk assessment scenario from the general risk factors returned by the server 102, use these as initial risk factors, and send the initial risk factors to the server 102. The general risk factors are general risk factors relevant to a general risk assessment scenario, which refers to the scenario of assessing the risk of aquatic organism invasion of waters. The initial risk factors are initial risk factors relevant to a specific risk assessment scenario, which refers to the scenario of assessing the risk of aquatic organism invasion of waters. A specific aquatic organism refers to a specific aquatic organism, such as Tilapia chinensis; aquatic organisms refer to all aquatic organisms, including the specific aquatic organisms; and waters refer to a broad range of waters, including any river or section of a river, any lake, etc., and do not specifically refer to a specific water body. The general risk factors refer to all general risk factors relevant to all scenarios of assessing the risk of aquatic organism invasion of waters. The aquatic organism invasion risk assessment system provided in this embodiment also includes a risk factor database for storing universal risk factors. The server 102 is further configured to: upon receiving a universal risk factor acquisition request message from the management terminal 101, request the universal risk factors from the risk factor database; obtain the universal risk factors returned by the risk factor database; and send the universal risk factors returned by the risk factor database to the management terminal 101. Universal risk factors can be stored in the risk factor database, in a database within the server 102, or retrieved from the risk factor database by the server 102 and then stored in the database within the server 102. For example, assuming the specific aquatic organism is Tilapia chinensis, the initial risk factor refers to the risk factor for assessing the risk of Tilapia chinensis invading a water area, and the specific risk assessment scenario refers to the scenario for assessing the risk of Tilapia chinensis invading a water area. After receiving the general risk factor acquisition request message sent by the management terminal 101, the server 102 queries whether the server 102 database stores the general risk factor required by the general risk factor acquisition request message. If so, the server 102 sends the general risk factor to the management terminal 101. If not, the server 102 requests the risk factor database to obtain the general risk factor. After obtaining the general risk factor returned by the risk factor database, the server 102 sends the general risk factor returned by the risk factor database to the management terminal 101.

[0028] In specific implementation, the general risk factor acquisition request message includes a request message for requesting to obtain risk factor selection interface data. The management terminal 101 is also used to obtain the risk factor selection interface data returned by the server 102 when obtaining the general risk factor returned by the server 102; display the risk factor selection interface according to the risk factor selection interface data, and display the general risk factor in the risk factor selection interface; select the risk factor related to the specific risk assessment scenario from the general risk factor returned by the server 102, including: in response to detecting the selection operation of selecting the risk factor related to the specific risk assessment scenario from the general risk factor in the risk factor selection interface, obtain the risk factor related to the specific risk assessment scenario selected from the general risk factor. Figure 2a The risk factor selection interface can display all common risk factors, and the administrator can make judgments and select risk factors related to specific risk assessment scenarios. Figure 2b The risk factor selection interface can display one or more screening conditions and the filtered general risk factors. The administrator selects risk factors related to the specific risk assessment scenario from the filtered general risk factors. For example, in the risk factor selection interface, the administrator selects risk factors related to the assessment of the risk of Tilapia invading waters from the general risk factors. The selected risk factors are the initial risk factors related to the assessment of the risk of Tilapia invading waters. The management terminal 101 sends the initial risk factors related to the assessment of the risk of Tilapia invading waters to the server 102. Taking Tilapia as an example, the initial risk factors for assessing the risk of Tilapia invading waters selected by the administrator may be as shown in Table 1:

[0029]

[0030] Table 1

[0031] Among them, climate similarity refers to the degree of similarity between the climate of the current distribution area of ​​the species and the introduced area. Climate factors are one of the important factors that determine the survival of species, including temperature, light, rainfall and other climate factors. Environmental resistance refers to the species' tolerance to adversity, including tolerance to climate changes such as low temperature, high temperature, dryness or resistance to extreme climate. Growth rate refers to the increase in biomass of alien species per unit time. The lag in population establishment refers to the fact that during the establishment process of the population, due to the influence of various factors, the growth rate of the population lags behind the growth rate of environmental resources. Because of the lag in population establishment, there is a window of time for prevention and control.

[0032] In this embodiment, when the management terminal 101 sends the initial risk factor to the server 102, it also sends the specific scenario identification data of the risk assessment specific scenario to the server 102; after obtaining the initial risk factor and the specific scenario identification data of the risk assessment specific scenario sent by the management terminal 101, the server 102 establishes a correspondence between the specific scenario identification data and the initial risk factor; the initial risk factor acquisition request message includes the specific scenario identification data of the risk assessment specific scenario; the server 102 is also used to obtain the specific scenario identification data of the risk assessment specific scenario from the initial risk factor acquisition request message after obtaining the initial risk factor acquisition request message; obtain the initial risk factor according to the correspondence between the specific scenario identification data of the risk assessment specific scenario and the initial risk factor; and return the initial risk factor to the risk factor assessment terminal 103 in response to the initial risk factor acquisition request message. Furthermore, the management terminal 101 is further configured to generate scenario-specific description data for the risk assessment specific scenario, send the scenario-specific description data to the server 102, and obtain scenario-specific identification data for the risk assessment specific scenario returned by the server 102. The server 102 is further configured to, after obtaining the scenario-specific description data for the risk assessment specific scenario, generate scenario-specific identification data for the risk assessment specific scenario, and establish a correspondence between the scenario-specific identification data for the risk assessment specific scenario and the scenario-specific description data for the risk assessment specific scenario. In a specific implementation, the management terminal 101 is further configured to, in response to detecting an instruction to create a risk assessment specific scenario, send a scenario creation interface data acquisition request message to the server 102 requesting scenario creation interface data for creating the risk assessment specific scenario, obtain scenario creation general interface data returned by the server 102 in response to the scenario creation interface data acquisition request message, and display the scenario creation general interface based on the scenario creation general interface data. Generating the scenario-specific description data for the risk assessment specific scenario includes: in response to detecting data entered on the scenario creation general interface, generating the scenario-specific description data for the risk assessment specific scenario based on the data entered on the scenario creation general interface.

[0033] For example, the operation interface of the management terminal 101 has a button for creating a specific risk assessment scenario. When the administrator of the management terminal 101 clicks this button, the management terminal 101 sends a scenario creation interface data acquisition request message to the server 102, and obtains the scenario creation general interface data returned by the server 102. Based on the scenario creation general interface data, the scenario creation general interface is displayed. Figure 3The administrator can input data on the scenario creation general interface based on the risk assessment specific scenario that he or she wants to create. The management terminal 101 generates specific scenario description data for the risk assessment specific scenario based on the data input on the scenario creation general interface. For example, if the administrator inputs data such as "Qi's tilapia invasion waters", "Qi's tilapia invasion", "Tilapia invasion of all waters", "Tilapia rivers" on the scenario creation general interface, the specific scenario description data for the risk assessment specific scenario generated by the management terminal 101 may be "Qi's tilapia invasion waters". That is, the specific scenario description data for the risk assessment specific scenario generated by the management terminal 101 can use the data input by the administrator on the scenario creation general interface as the specific scenario description data for the risk assessment specific scenario, or can extract keywords from the data input on the scenario creation general interface, generate specific scenario description data for the risk assessment specific scenario based on the keywords and specific scenario description data generation rules for the risk assessment specific scenario, or can obtain specific scenario description data for the risk assessment specific scenario already stored in the database of the server 102 based on the keywords. The management terminal 101 sends specific scenario description data for a specific risk assessment scenario, such as "Tilapia tiliaceus invading waters," to the server 102. After obtaining the specific scenario description data for the specific risk assessment scenario, the server 102 generates specific scenario identification data for the specific risk assessment scenario, such as "LFY001," and establishes a corresponding relationship between "Tilapia tiliaceus invading waters" and "LFY001." The server 102 then returns the specific scenario identification data for the specific risk assessment scenario, such as "LFY001," to the management terminal 101. Alternatively, the specific scenario identification data for the specific risk assessment scenario can be generated directly by the management terminal 101. For example, the specific scenario identification data for the specific risk assessment scenario can be set by an administrator, or random data that conforms to set rules can be generated by the management terminal 101 as the specific scenario identification data for the specific risk assessment scenario. When the management terminal 101 sends the initial risk factor related to the assessment of the risk of Tilapia invading waters to the server 102, it also sends the specific scenario identification data "LFY001" of the Tilapia invading waters. After receiving the initial risk factor related to the assessment of the risk of Tilapia invading waters and the specific scenario identification data "LFY001" of the Tilapia invading waters, the server 102 establishes a correspondence between the initial risk factor and the specific scenario identification data "LFY001".Then, when the server 102 receives the initial risk factor acquisition request message sent by the risk factor assessment terminal 103, if the server 102 has stored the correspondence between the initial risk factor and the specific scenario identification data "LFY001" of the waters invaded by Tilapia chinensis, and the initial risk factor acquisition request message includes the specific scenario identification data "LFY001" of the waters invaded by Tilapia chinensis, then after obtaining the initial risk factor acquisition request message, the server 102 obtains the specific scenario identification data "LFY001" of the waters invaded by Tilapia chinensis from the initial risk factor acquisition request message. The server 102 obtains the initial risk factor based on the correspondence between the specific scenario identification data "LFY001" of the waters invaded by Tilapia chinensis and the initial risk factor, and returns the initial risk factor to the risk factor assessment terminal 103. Because the correspondence between the specific scenario identification data and the initial risk factor is stored in the server 102, after the server 102 receives the initial risk factor acquisition request message sent by the risk factor assessment terminal 103, it can directly obtain the initial risk factor corresponding to the specific scenario identification data stored in the server 102 based on the specific scenario identification data in the initial risk factor acquisition request message. The administrator does not need to select the risk factor related to the specific scenario of risk assessment from the general risk factors on the risk factor selection interface as the initial risk factor, which reduces the administrator's workload and improves the efficiency of obtaining the initial risk factor.

[0034] In this embodiment, the initial risk factor acquisition request message includes specific scenario identification data of the risk assessment specific scenario; the risk factor assessment terminal 103 is further configured to, in response to detecting an instruction to display the scenario description data of the created risk assessment scenario, send a scenario description data acquisition request message to the server 102 for requesting to obtain the scenario description data of the created risk assessment scenario, and obtain the scenario identification data, scenario description data, and scenario display interface data of the created risk assessment scenario returned by the server 102; display the scenario display interface according to the scenario display interface data, and display the scenario description data in the scene display interface; in response to detecting a selection operation of selecting the specific scenario description data of the risk assessment specific scenario in the scenario display interface, obtain the specific scenario identification data of the risk assessment specific scenario from the scenario identification data of the created risk assessment scenario returned by the server 102. For example, the interface of the risk factor assessment terminal 103 has a display button for displaying the scenario description data of the created risk assessment scenario. When the display button is triggered, a scenario description data acquisition request message is sent to the server 102 to obtain the scenario identification data, scenario description data, and scenario display interface data of the created risk assessment scenario returned by the server 102. Figure 4The risk factor assessment terminal 103 displays the scenario display interface based on the scenario display interface data, and displays the scenario description data in the scenario display interface. When the selection button for the scenario description data is triggered, the specific scenario identification data of the risk assessment specific scenario corresponding to the selected scenario description data is obtained from the scenario identification data of the created risk assessment scenario returned by the server 102. The initial risk factor acquisition request message sent by the risk factor assessment terminal 103 to the server 102 includes the specific scenario identification data of the risk assessment specific scenario. The server 102 returns the initial risk factor to the risk factor assessment terminal 103 in response to the initial risk factor acquisition request message. The risk factor assessment terminal 103 obtains the initial risk factor and evaluates the obtained initial risk factor to obtain a first evaluation value of the importance of the initial risk factor.

[0035] Furthermore, the initial risk factor acquisition request message includes request information for requesting to obtain risk factor importance assessment interface data; the risk factor assessment terminal 103 is also used to: obtain risk factor importance assessment interface data when obtaining the initial risk factor returned by the server 102; display the risk factor importance assessment interface according to the risk factor importance assessment interface data, and display the initial risk factor in the risk factor importance assessment interface; obtain the first importance assessment value of the initial risk factor, including: in response to detecting the assessment value input by the importance assessment subject for the importance of the initial risk factor in the factor importance assessment interface, obtain the importance assessment value of the initial risk factor by the importance assessment subject as the first importance assessment value of the initial risk factor. Among them, the importance assessment subject can be a professional assessor who can assess the risk of aquatic organisms invading waters, or it can be an expert in fields related to aquatic organism invasions, and the number of importance assessment subjects is multiple. Reference Figure 5a, the initial risk factor is displayed in the risk factor importance assessment interface, and the assessment value input by the importance assessment subject for the importance of the initial risk factor is used as the first assessment value of the importance of the initial risk factor. Furthermore, the risk factor importance assessment interface also displays an input item for inputting the professional level assessment value of the importance assessment subject for the risk assessment specific scenario or the initial risk factor; the risk factor assessment terminal 103 is also used to: in response to detecting the professional level assessment value input in the professional level assessment value input item in the risk factor importance assessment interface, obtain the professional level assessment value of the importance assessment subject for the risk assessment specific scenario or the initial risk factor as the professional level assessment value of the importance assessment subject; when sending the first assessment value of importance to the server 102, also send the professional level assessment value of the importance assessment subject to the server 102; according to the first assessment value of importance, obtain the second assessment value of importance of the initial risk factor, including: according to the first assessment value of importance and the professional level assessment value of the importance assessment subject, obtain the second assessment value of importance of the initial risk factor. Reference Figure 5b and Figure 5c In the risk factor importance assessment interface, you can enter the professional level assessment value of the importance assessment subject for the specific risk assessment scenario or initial risk factor. The professional level assessment value of the importance assessment subject for the specific risk assessment scenario or initial risk factor can be obtained through the importance assessment subject's self-evaluation of its own professional level in assessing the specific risk assessment scenario or initial risk factor, or it can be obtained through the professional level assessment value acquisition model. For example, the aquatic biological risk assessment project data done by the importance assessment subject is input into the professional level assessment value acquisition model to obtain the professional level assessment value of the importance assessment subject for the specific risk assessment scenario or initial risk factor. Taking the initial risk factor for assessing the risk of Tilapia invading waters in Table 1 above as an example, refer to Figure 5a , each importance assessment subject assesses the importance of any initial risk factor in Table 1 and obtains the importance assessment value of any initial risk factor. Taking Table 2 as an example, the importance assessment value of any initial risk factor, such as the bio-risk level (Bio Hacker Risk), can be divided into 6 levels. After each importance assessment subject assesses the importance of any initial risk factor, the value corresponding to the importance is the importance assessment value of any initial risk factor. Taking Table 3 as an example, the professional level assessment value (Professional level) of the importance assessment subject can be divided into 6 levels, referring to Figure 5b and 5cWhen each importance assessment subject assesses the importance of any initial risk factor, it obtains the professional level assessment value (Professional level) of the importance assessment subject for the specific risk assessment scenario, or obtains the professional level assessment value (Professional level) of the importance assessment subject for any initial risk factor.

[0036] In specific implementation, the second importance evaluation value of the initial risk factor is obtained according to the first importance evaluation value and the professional level evaluation value of the importance evaluation subject, including: for any initial risk factor, obtaining the product result of the importance evaluation value of any importance evaluation subject for any initial risk factor and the professional level evaluation value of any importance evaluation subject, as the product data corresponding to any importance evaluation subject for any initial risk factor; after obtaining the product results corresponding to multiple importance evaluation subjects for any initial risk factor, obtaining the sum data of the product results corresponding to multiple importance evaluation subjects for any initial risk factor, as the sum data for any initial risk factor. The product result and data of the initial risk factors; obtaining the sum data of the professional level assessment values ​​of multiple importance assessment subjects for a specific risk assessment scenario as the first professional level sum data, or obtaining the sum data of the professional level assessment values ​​of multiple importance assessment subjects for any initial risk factor as the second professional level sum data; obtaining the quotient data between the product result and data of any initial risk factor and the first professional level sum data as the second importance assessment value of any initial risk factor, or obtaining the quotient data between the product result and data of any initial risk factor and the second professional level sum data as the second importance assessment value of any initial risk factor. It should be noted that the second importance assessment value of any initial risk factor here represents whether any initial risk factor is important in the specific risk assessment scenario, and does not represent the actual performance value of any initial risk factor in the specific risk assessment scenario.For example, after the first importance assessment subject evaluates, the importance assessment value of the initial risk factor intentional invasion history is 5, and the professional level assessment value is 15. Then the product data corresponding to the first importance assessment subject for the initial risk factor intentional invasion history is (5×15). After the second importance assessment subject evaluates, the importance assessment value of the initial risk factor intentional invasion history is 4, and the professional level assessment value is 10. Then the product data corresponding to the second importance assessment subject for the initial risk factor intentional invasion history is (4×10). After the third importance assessment subject evaluates, the importance assessment value of the initial risk factor intentional invasion history is 1, and the professional level assessment value is 1. Then the product data corresponding to the first importance assessment subject for the initial risk factor intentional invasion history is (1×1). Then the product result and data for the initial risk factor intentional invasion history are: (5×15)+(4×10)+(1×1). By analogy, any importance assessment subject evaluates the initial risk factors in Table 1 and obtains the product results corresponding to multiple importance assessment subjects for any initial risk factor, which can be expressed as (Bio Hacker Risk(0-5)×Professional level(1-15))i, where i represents any initial risk factor in Table 1 above. Then the sum of the product results for any initial risk factor can be expressed as Σ(Bio Hacker Risk(0-5)×Professional level(1-15))i, and the sum of the professional level assessment values ​​of multiple importance assessment subjects for any initial risk factor can be expressed as ΣProfessional level(1-15)i, that is, the second sum of professional level can be expressed as ΣProfessional level(1-15)i. When any importance assessment subject makes an assessment based on the initial risk factors for assessing the risk of Tilapia invasion in waters in Table 1, it can also conduct a self-evaluation of its professional level for the risk of Tilapia invasion in waters to obtain its professional level assessment value for the risk of Tilapia invasion in waters. For example, the first importance assessment subject's professional level assessment value for the risk of Tilapia invasion in waters is 10, the second importance assessment subject's professional level assessment value for the risk of Tilapia invasion in waters is 15, and the third importance assessment subject's professional level assessment value for the risk of Tilapia invasion in waters is 5. And so on. The sum of the professional level assessment values ​​of multiple importance assessment subjects can be expressed as ΣProfessional level (1-15) j, where j represents any importance assessment individual. That is, the first sum of professional level data is ΣProfessional level (1-15) j. Therefore,

[0037] or,

[0038] Importance Importance Assessment Value (Bio Hacker Risk) Extremely important 5 Very important 4 important 3 Not very important 1 unimportant 0 uncertain 2

[0039] Table 2

[0040] Professional level of the subject of importance assessment Professional level assessment value Senior scholars in specific fields 15 Domain Experts 10 General familiarity 5 Basic understanding 3 Not sure 1 Uncertainty 6

[0041] Table 3

[0042] Furthermore, based on the second evaluation value of importance, target risk factors related to the specific scenario of risk assessment are selected from the initial risk factors, including: sorting the initial risk factors in descending order of the second evaluation value of importance; selecting multiple initial risk factors with a higher ranking and a sum result of the second evaluation value of importance not lower than a sum result threshold as target risk factors, the sum result of the second evaluation value of importance being the sum result of the second evaluation value of importance of multiple initial risk factors with a higher ranking, and the sum result threshold being obtained based on the sum result of the second evaluation value of importance of all initial risk factors and a preset sum result ratio. For example, in the above example, after calculating the importance second evaluation value of the initial risk factor for the risk of Tilapia invading waters, the initial risk factors are sorted in descending order according to the importance second evaluation value, and the sorted multiple importance second evaluation values ​​are added from front to back until the sum of the importance second evaluation values ​​obtained is not less than the sum result threshold, such as the sum result threshold is set to 95%. The multiple initial risk factors corresponding to the selected importance second evaluation values ​​are used as target risk factors. The selected target risk factors may be shown in Table 4. Then, the target risk factors in Table 4 are target risk factors related to the scenario of assessing the risk of Tilapia invading waters. The target risk factors in Table 4 can be stored in the server 102 as Tilapia invasion risk assessment data. In this way, when conducting a project to assess the risk of Tilapia invading specific waters or a project to assess the risk of Tilapia invading other waters other than the specific waters, the target risk factors in the Tilapia invasion risk assessment data can be directly obtained from the server 102, reducing the workload in the risk assessment process and improving the assessment efficiency of the target risk assessment project.

[0043]

[0044] Table 4

[0045] In this embodiment, the first evaluation value of the target risk factor obtained by the risk value assessment terminal 104 is the actual performance value of the target risk factor in the target risk assessment project. The specific water area can be a section of a specific river, a tributary of a specific river, or a specific lake. The location and length of the specific water area correspond to the cognitive scope of the assessment subject. Sending a target risk factor acquisition request message to the server 102 for requesting to obtain the target risk factor includes: in response to detecting an instruction to start the target risk assessment project, sending a target risk factor acquisition request message to the server 102, the target risk factor acquisition request message including target project interface data acquisition request information for requesting to obtain target risk assessment project interface data; the risk value assessment terminal 104 is further used to: when obtaining the target risk factor returned by the server 102, also obtain the target risk assessment project interface data returned by the server 102; based on the target risk assessment project interface data, display the target risk assessment project interface, and display the target risk factor in the target risk assessment project interface; obtaining a first assessment value of the target risk factor in the target risk assessment project, including: in response to detecting an assessment value input by the risk value assessment subject for the target risk factor in the target risk assessment project interface, obtaining the assessment value of the target risk factor in the target risk assessment project by the risk value assessment subject as the first assessment value of the target risk factor in the target risk assessment project, as the first assessment value of the target risk factor. The subject of risk assessment can be a professional assessor who can assess the risk of a specific aquatic organism invading a specific water area, or an expert in a field related to aquatic organism invasion. There are multiple risk assessment subjects, and the personnel constituting the subject of risk assessment and the members constituting the subject of importance assessment can be completely the same, completely different, or partially the same. Figure 6a The risk assessment terminal 104 displays a target risk assessment project interface. The target risk assessment project is the risk assessment project for the first water area invasion of Tilapia chinensis. The target risk factors are shown in Table 4. The risk assessment terminal displays the target risk assessment project interface for the first water area invasion of Tilapia chinensis, and displays the target risk factors in Table 4 in the target risk project assessment interface. The risk assessment subject enters the assessment value of the target risk factor in the risk assessment project for the first water area invasion of Tilapia chinensis in the target risk project assessment interface as the first assessment value of the target risk factor in the risk assessment project for the first water area invasion of Tilapia chinensis. The risk assessment subject can determine the first assessment value of the target risk factor in the risk assessment project for the first water area invasion of Tilapia chinensis according to Table 2 based on different levels of importance.

[0046] During specific implementation, the management terminal 101 is also used to generate target project description data of the target risk assessment project and send the target project description data of the target risk assessment project to the server 102; the server 102 is also used to establish a correspondence between the specific scenario identification data of the risk assessment specific scenario and the target risk factor. After obtaining the target project description data of the target risk assessment project, the target project identification data of the target risk assessment project is generated, the correspondence between the target project identification data and the target project description data of the target risk assessment project is established, and the correspondence between the target project identification data and the target project description data of the target risk assessment project is established, and the correspondence between the target project identification data and the specific scenario identification data is established; the target risk factor acquisition request message also includes the target project identification data; the server 102 is also used to obtain the target project identification data from the target risk factor acquisition request message, and obtain the target risk factor based on the correspondence between the target project identification data and the specific scenario identification data and the correspondence between the specific scenario identification data and the target risk factor; and the target risk factor is returned to the risk value assessment terminal in response to the target risk factor acquisition request message.

[0047] Furthermore, the target risk assessment project interface also displays a professional level assessment value input item for inputting the professional level assessment value of the risk assessment subject for the target risk assessment project or target risk factor. The risk assessment terminal 104 is further configured to, in response to detecting the professional level assessment value inputted into the professional level assessment value input item in the target risk assessment project interface, obtain the professional level assessment value of the risk assessment subject for the target risk assessment project or target risk factor as the professional level assessment value of the risk assessment subject. When sending the first assessment value of the target risk factor to the server 102, the professional level assessment value of the risk assessment subject is also sent to the server 102. The server 102 is further configured to obtain a second assessment value of the importance of the target risk factor from the second assessment value of the importance of the initial risk factor. Obtaining a second assessment value of the target risk factor in the target risk assessment project based on the first assessment value of the target risk factor includes: obtaining the second assessment value of the target risk factor in the target risk assessment project based on the first assessment value of the target risk factor, the second assessment value of the importance of the target risk factor, and the professional level assessment value of the risk assessment subject. There are multiple target risk factors. The risk value assessment subject can determine the professional level assessment value of the risk value assessment subject for the risk assessment project of the first water area invasion of Tilapia chinensis or the professional level assessment value of the target risk factor in the risk assessment project of the first water area invasion of Tilapia chinensis based on Table 3. The risk value assessment subject can be a professional assessor who can assess the risk of a specific aquatic organism invading a specific water area, or it can be an expert in a field related to the invasion of a specific aquatic organism. There are multiple risk value assessment subjects. The professional level assessment value of the risk value assessment subject for the target risk assessment project or target risk factor can be obtained through the risk value assessment subject's self-evaluation of its own professional level for the target risk assessment project or target risk factor, or it can be obtained through a professional level assessment value acquisition model. For example, the target risk assessment project data done by the risk value assessment subject or the relevant data of the target risk factor evaluated is input into the professional level assessment value acquisition model to obtain the professional level assessment value of the risk value assessment subject for the target risk assessment project or target risk factor. Reference Figure 6b and 6cIn the target risk assessment project interface, you can enter the professional level assessment value of the risk value assessment subject for the target risk assessment project or target risk factor. In the above example, when selecting the target risk factor related to the invasion of waters by Tilapia chinensis, the importance second assessment value of the initial risk factor intentional invasion history is calculated, and according to the importance second assessment value, when selecting the target risk factor related to the invasion of waters by Tilapia chinensis from the initial risk factors, the selected initial risk factor is used as the target risk factor, then the importance second assessment value of the initial risk factor is the corresponding importance second assessment value of the target risk factor. For example, the importance second assessment value of the intentional invasion history of the initial risk factor is the importance second assessment value of the intentional invasion history of the target risk factor 1.

[0048] In a specific implementation, according to the first evaluation value of the target risk factor, the second evaluation value of the importance of the target risk factor and the professional level evaluation value of the risk value evaluation subject, the second evaluation value of the target risk factor in the target risk evaluation project is obtained, including: for any target risk factor, obtaining the product result of the second evaluation value of the importance of any target risk factor and the evaluation value of any risk value evaluation subject for any target risk factor in the target risk evaluation project as the first weighted result of any target risk factor corresponding to any risk value evaluation subject; obtaining the weighted result between the first weighted result of any target risk factor and the evaluation upper limit value of any target risk factor in the target risk evaluation project The quotient data is used as the first weighted result quotient data of any target risk factor corresponding to any risk value assessment subject; the product result between the first weighted result quotient data of any target risk factor and the professional level assessment value of any risk value assessment subject is obtained as the second weighted result of any target risk factor corresponding to any risk value assessment subject; after obtaining the second weighted result of each risk value assessment subject in multiple risk value assessment subjects corresponding to any target risk factor, the average value of the second weighted results of all risk value assessment subjects corresponding to any target risk factor in multiple risk value assessment subjects is obtained as the second assessment value of any target risk factor in the target risk assessment project. For example, in the first water area risk assessment project of Tilapia invading Qi's tilapia, any target risk factor refers to any one of the target risk factors in Table 4. After any target risk factor is selected, in the process of calculating the second assessment value of any target risk factor in the first water area risk assessment project of Tilapia invading Qi's tilapia, any target risk factor involved specifically refers to the selected target risk factor. For example, if the selected target risk factor is the target risk factor intentional invasion history, the process of calculating the second evaluation value of the intentional invasion history in the risk assessment project of the first water area of ​​tilapia invasion is as follows: First, obtain the second evaluation value of the importance of the target risk factor intentional invasion history and the first evaluation value of the first risk value assessment subject for the target risk factor intentional invasion history, and the product of the two is the first weighted result of the target risk factor intentional invasion history corresponding to the first risk value assessment subject. Among them, the second evaluation value of the importance of the target risk intentional invasion history is equal to the second evaluation value of the importance of the initial risk factor intentional invasion history, and the first evaluation value of the first risk value assessment subject for the target risk factor intentional invasion history refers to the evaluation value of the target risk factor intentional invasion history in the risk assessment project of the first water area of ​​tilapia invasion entered by the first risk value assessment subject in the target wind direction project assessment interface.For example, if the first risk assessment subject determines the first assessment value of the target risk factor intentional invasion history based on Table 2, then the first assessment value of the target risk factor intentional invasion history is an integer or decimal between 0 and 5, and the assessment upper limit of the target risk factor intentional invasion history in the first water area of ​​tilapia invasion is 5. Secondly, the quotient data between the first weighted result of the target risk factor intentional invasion history and the assessment upper limit of the target risk factor intentional invasion history in the first water area of ​​tilapia invasion is obtained as the first weighted result quotient data of the target risk factor intentional invasion history corresponding to the first risk assessment subject. In the above example, the first weighted result quotient data of the target risk factor intentional invasion history corresponding to the first risk assessment subject is equal to the first weighted result of the target risk factor intentional invasion history divided by 5. Thirdly, the product result between the first weighted result quotient data of the target risk factor intentional invasion history and the professional level assessment value of the first risk assessment subject is obtained as the second weighted result of the target risk factor intentional invasion history corresponding to the first risk assessment subject. For example, if the first risk assessment subject determines the professional level assessment value for the target risk factor's intentional invasion history based on Table 3, then the professional level assessment value for the target risk factor's intentional invasion history is one of 15, 10, 5, 3, 1, and 6. Next, a second weighted result is obtained for each of the multiple risk assessment subjects corresponding to the target risk factor's intentional invasion history. Following the above steps, the second risk assessment subject, the third risk assessment subject, and other risk assessment subjects all assess the target risk factor's intentional invasion history, obtaining a second weighted result for the target risk factor's intentional invasion history corresponding to each risk assessment subject. Next, the average of the second weighted results for all of the multiple risk assessment subjects corresponding to the target risk factor's intentional invasion history is obtained as the second assessment value for the target risk factor's intentional invasion history in the risk assessment project for the first water area invasion of tilapia. Following the above steps, the second weighted results for the target risk factor's intentional invasion history are obtained for all risk assessment subjects, and the average is calculated. The resulting result is the second assessment value for the target risk factor's intentional invasion history in the risk assessment project for the first water area invasion of tilapia.

[0049] In this embodiment, there are multiple target risk factors; obtaining a risk assessment value for the target risk assessment project based on the second assessment value of the target risk factor includes: after obtaining the second assessment value of each target risk factor in the target risk assessment project among the multiple target risk factors, obtaining the sum of the second assessment values ​​of all target risk factors in the target risk assessment project as the risk assessment value for the target risk assessment project. For example, in the above example, the second assessment value of each target risk factor in the risk assessment project of Tilapia invading the first water area is obtained, and the second assessment values ​​of all target risk factors in the risk assessment project of Tilapia invading the first water area are added together, and the resulting sum is the risk assessment value of the risk assessment project of Tilapia invading the first water area. The risk assessment value of the risk assessment project of Tilapia invading the first water area represents the risk level of Tilapia invading the first water area.

[0050] In this embodiment, the server 102 is further configured to: after obtaining the second evaluation value of each target risk factor in the target risk assessment project among the multiple target risk factors, sort all the target risk factors in the multiple target risk factors in descending order of the second evaluation values ​​to obtain sorted target risk factors; and select high risk factors for the target risk assessment project from the sorted target risk factors according to a preset high risk factor selection strategy. For example, in the above example, after calculating the second assessment value of each target risk factor in Table 4 for the risk assessment project of Tilapia invading the first water area, all target risk factors in Table 4 are ranked in descending order according to the second assessment value. The ranked target risk factors are: aquatic organism stocking intensity factor, species portability at the site of introduction, natural enemies, distribution in provinces other than the site of introduction, history of intentional invasion, history of unintentional invasion, climate similarity, temperature adaptability, and offspring survival rate. If the preset high-risk factor selection strategy is to select the top five ranked target risk factors, then the high-risk factors for the risk assessment project of Tilapia invading the first water area are: aquatic organism stocking intensity factor, species portability at the site of introduction, natural enemies, distribution in provinces other than the site of introduction, and history of intentional invasion. Based on the obtained high-risk factors for the risk assessment project of Tilapia invading the first water area, corresponding preventive measures can be taken in the first water area based on the high-risk factors to prevent Tilapia from invading the first water area. For example, one of the high-risk factors for the invasion of Tilapia zebui by the first water area is the aquatic organism release intensity factor. Therefore, corresponding control measures can be taken for the release activities of geographical objects near the first water area to achieve the purpose of preventing Tilapia zebui from invading the first water area. Among them, the control measures include stipulating that geographical objects near the first water area must report to the relevant management department before holding release activities, the relevant management department checking whether there are Tilapia zebui among the released organisms, holding publicity activities on the hazards related to Tilapia zebui, reducing the risk of self-release, etc.

[0051] In the embodiment, the risk value evaluation terminal 104 is further configured to: obtain a first evaluation value of the other aquatic organism risk factor in a specific water area other risk evaluation project, the specific water area other risk evaluation project being a project of evaluating the risk of the other aquatic organism invading the specific water area, and the other aquatic organism risk factor being a risk factor required for evaluating the risk of the other aquatic organism invading the specific water area in the specific water area other risk evaluation project; and send the first evaluation value of the other aquatic organism risk factor in the specific water area other risk evaluation project to the server 102. The server 102 is further configured to: obtain a second evaluation value of the other aquatic organism risk factor in the specific water area other risk evaluation project according to the first evaluation value of the other aquatic organism risk factor in the specific water area other risk evaluation project; obtain a risk evaluation value of the specific water area other risk evaluation project according to the second evaluation value of the other aquatic organism risk factor in the specific water area other risk evaluation project; sort the specific water area other risk evaluation project and the target risk evaluation project in a descending order of the risk evaluation value to obtain sorted risk evaluation projects for the specific water area; select a high-risk project for the specific water area from the sorted risk evaluation projects for the specific water area according to a preset high-risk project selection strategy; and mark the aquatic organism corresponding to the high-risk project for the specific water area as a high-risk invasive organism for the specific water area. For example, the other aquatic organism is any one of golden apple snail, Brazilian turtle, orfe, Nile tilapia, and winged catfish, and the specific water area other risk evaluation project refers to a risk evaluation project of the other aquatic organism invading the first water area. The other aquatic organism risk factor is a risk factor required for evaluating the risk of the other aquatic organism invading the first water area in the risk evaluation project of the other aquatic organism invading the first water area. Assuming that the other aquatic organism is the golden apple snail, according to the above content, the risk value evaluation terminal 104 obtains a first evaluation value of the golden apple snail risk factor in the golden apple snail invading the first water area risk evaluation project, the server 102 obtains a second evaluation value of the golden apple snail risk factor in the golden apple snail invading the first water area risk evaluation project according to the first evaluation value of the golden apple snail risk factor in the golden apple snail invading the first water area risk evaluation project sent by the risk value evaluation terminal 104, and obtains a risk evaluation value of the golden apple snail invading the first water area risk evaluation project according to the second evaluation value of the golden apple snail risk factor in the golden apple snail invading the first water area risk evaluation project. Similarly, the risk evaluation values of the Brazilian turtle invading the first water area risk evaluation project, the orfe invading the first water area risk evaluation project, the Nile tilapia invading the first water area risk evaluation project, and the winged catfish invading the first water area risk evaluation project are obtained. The sorted risk evaluation projects for the first water area are obtained by sorting all the risk evaluation values in a descending order.Assuming that the sorted risk assessment items for the first water area are: the risk assessment item of Oreochromis mossambicus invading the first water area, the risk assessment value of Pseudorasbora parva invading the first water area, the risk assessment value of Oreochromis niloticus invading the first water area, the risk assessment value of Trachemys scripta invading the first water area, the risk assessment item of Pomacea canaliculata invading the first water area, the risk assessment item of Pterobryx conchonius invading the first water area, and the like, and assuming that the preset high-risk item selection strategy is to select the top three of the sorted risk assessment items for the first water area as the high-risk items, then Oreochromis mossambicus, Pseudorasbora parva and Oreochromis niloticus will be marked as high-risk invasive species for the first water area. In this way, when taking measures to prevent aquatic biological invasion for the first water area, the measures can be focused on Oreochromis mossambicus, Pseudorasbora parva and Oreochromis niloticus, and through targeted measures, greater prevention effect can be obtained at a smaller cost.

[0052] In the embodiment, the risk value evaluation terminal 104 is further configured to: obtain a first evaluation value of the target risk factor in other water area risk evaluation projects, the other water area risk evaluation projects being projects for evaluating the risk of the specific aquatic organism invading other water areas; and send the first evaluation value of the target risk factor in the other water area risk evaluation projects to the server 102. The server 102 is further configured to: obtain a second evaluation value of the target risk factor in the other water area risk evaluation projects according to the first evaluation value of the target risk factor in the other water area risk evaluation projects; obtain a risk evaluation value for the other water area risk evaluation projects according to the second evaluation value of the target risk factor in the other water area risk evaluation projects; sort the other water area risk evaluation projects and the target risk evaluation project in descending order of the risk evaluation values to obtain sorted risk evaluation projects for the specific aquatic organism; select a high-risk project for the specific aquatic organism from the sorted risk evaluation projects for the specific aquatic organism according to a preset high-risk project selection strategy; and mark a water area corresponding to the high-risk project for the specific aquatic organism as a high-risk water area invaded by the specific aquatic organism. For example, the other water areas refer to a second water area, a third water area, a fourth water area, a fifth water area, and the like. According to the above content, the risk evaluation value of the Oreochromis niloticus invading the second water area risk evaluation project, the risk evaluation value of the Oreochromis niloticus invading the third water area risk evaluation project, the risk evaluation value of the Oreochromis niloticus invading the fourth water area risk evaluation project, the risk evaluation value of the Oreochromis niloticus invading the fifth water area risk evaluation project, and the like can be obtained, and the sorted risk evaluation projects for the Oreochromis niloticus are: the risk evaluation value of the Oreochromis niloticus invading the first water area risk evaluation project, the risk evaluation value of the Oreochromis niloticus invading the fourth water area risk evaluation project, the risk evaluation value of the Oreochromis niloticus invading the third water area risk evaluation project, the risk evaluation value of the Oreochromis niloticus invading the second water area risk evaluation project, and the risk evaluation value of the Oreochromis niloticus invading the fifth water area risk evaluation project. Assuming that the preset high-risk project selection strategy is to select the top three sorted risk evaluation projects as the high-risk projects, the high-risk projects for the Oreochromis niloticus are: the risk evaluation value of the Oreochromis niloticus invading the first water area risk evaluation project, the risk evaluation value of the Oreochromis niloticus invading the fourth water area risk evaluation project, and the risk evaluation value of the Oreochromis niloticus invading the third water area risk evaluation project, and the first water area, the fourth water area, and the third water area are high-risk water areas invaded by the Oreochromis niloticus. In this way, when taking relevant prevention measures against the risk of the specific aquatic organism invading, the high-risk water areas invaded by the specific aquatic organism can be targeted to take prevention measures, and better prevention effect for the specific aquatic organism can be obtained. The specific aquatic organism can also be any aquatic organism other than the Oreochromis niloticus, and the high-risk water areas invaded by any aquatic organism other than the Oreochromis niloticus can also be obtained through the above content.

[0053] Corresponding to the first embodiment provided in the present application, the present application also provides the following multiple embodiments. The following embodiments also provide a kind of aquatic organism invasion risk assessment system, basically similar to the first embodiment provided in the present application, so it is described relatively simply, the following embodiment and the first embodiment content same part is no longer described, please see the corresponding part in the first embodiment.

[0054] Second embodiment

[0055] In the aquatic organism invasion risk assessment system provided in the present embodiment, the server 102 is further configured to: obtain scene feature data of a risk assessment specific scene;Input the initial risk factor and the scene feature data of the risk assessment specific scene into the target risk factor screening model to obtain target risk factors related to the risk assessment specific scene as model output target risk factors;According to the importance second evaluation value, select the target risk factor related to the risk assessment specific scene from the initial risk factor, including: according to the order from high to low of the importance second evaluation value, sort the initial risk factor to obtain the sorted initial risk factor;From the sorted initial risk factor, select the sorted early model output target risk factor whose sum result of importance second evaluation value is not less than the sum result threshold as the target risk factor related to the risk assessment specific scene, the sum result of importance second evaluation value is the sum result of the importance second evaluation value of the multiple model output target risk factors sorted early, and the sum result threshold is obtained according to the total sum result of the importance second evaluation value of all initial risk factors and the preset total sum result proportion.

[0056] In implementation, the scene feature data of the risk assessment specific scene can include biological feature data of the specific aquatic organism, general feature data of the water area, and invasion behavior feature data, and can also include other data related to the specific aquatic organism. For example, the specific aquatic organism is Oreochromis niloticus, and the scene feature data of the risk assessment scene of the invasion of the Oreochromis niloticus into the water area includes at least the biological feature data of the Oreochromis niloticus, the general feature data of the water area, and the invasion behavior feature data. The biological features of the Oreochromis niloticus include strong environmental adaptability, rapid growth, ferocious nature, strong reproductive capacity, low temperature tolerance, earthy smell, and no natural enemy, etc. The biological feature data related to the invasion of the Oreochromis niloticus into the water area can be obtained by inputting the data related to the biological features of the Oreochromis niloticus into the aquatic organism feature data selection model, or the administrator of the management terminal 101 can select some biological features related to the invasion of the Oreochromis niloticus into the water area, and the data corresponding to the selected biological features can be used as the biological feature data of the Oreochromis niloticus. The general features of the water area refer to general and general features related to the water area in a broad sense, such as river length, flow direction, drainage area, river network density, runoff, and ice period, etc. The data corresponding to the general features is the general feature data of the water area. The invasion behavior feature data refers to data related to the behavior features of the specific aquatic organism invading the water area, such as reproductive capacity, population growth rate, natural enemy, natural competition pressure, competition and predation on local species, damage to ecosystem function, and wide geographical distribution, etc. According to the rules set by the code, the behavior features related to the invasion of the Oreochromis niloticus into the water area are selected, and the data corresponding to the selected behavior features is used as the invasion behavior feature data of the Oreochromis niloticus invading the water area. The service terminal 102 can obtain the scene feature data of the risk assessment specific scene from the database of the service terminal 102 or from other external databases.

[0057] In the first embodiment of the present application, the server 102 obtains the initial risk factors for assessing the risk of Oreochromis niloticus invading water areas. In this embodiment, the server 102 inputs the initial risk factors for assessing the risk of Oreochromis niloticus invading water areas and the scene feature data of the scene of assessing the risk of Oreochromis niloticus invading water areas into the target risk factor screening model, and the target risk factor screening model outputs the target risk factors related to the scene of assessing the risk of Oreochromis niloticus invading water areas, that is, the model outputs the target risk factors. In this embodiment, the server 102 obtains the importance second evaluation value of the initial risk factor in the same way as in the first embodiment, and after the server 102 obtains the importance second evaluation value of the initial risk factor, the initial risk factors are sorted in descending order of the importance second evaluation value to obtain the sorted initial risk factors, and the specific sorting process is the same as in the first embodiment. In this embodiment, the model output target risk factors are sorted according to the importance second evaluation model of the model output target risk factors, the sum of the importance second evaluation values of the top sorted model output target risk factors is not less than the sum threshold, and the sum threshold is obtained according to the sum of the importance second evaluation values of all initial risk factors and a preset sum proportion. For example, if the sum threshold is 95%, the importance second evaluation value of the top sorted model output target risk factor refers to the sum of the importance second evaluation values of the top sorted model output target risk factors being not less than 95%. For example, the top sorted model output target risk factors whose sum of the importance second evaluation values is not less than the sum threshold are: climate similarity, temperature adaptability, intentional invasion history, unintentional invasion history, distribution in provinces other than the introduction place, offspring survival rate, environmental stress resistance, natural enemies, water area flowability, and suitable range. The sorted initial risk factors are: intentional invasion history, climate similarity, temperature adaptability, unintentional invasion history, distribution in provinces other than the introduction place, natural enemies, species portability in the introduction place, water-borne organism release intensity factor, climate similarity, temperature adaptability, sexual maturity age, and offspring survival rate. Therefore, the top sorted model output target risk factors whose sum of the importance second evaluation values is not less than the sum threshold are selected from the sorted initial risk factors as the target risk factors related to Oreochromis niloticus invading water areas, which refer to climate similarity, temperature adaptability, intentional invasion history, unintentional invasion history, distribution in provinces other than the introduction place, offspring survival rate, and natural enemies.

[0058] In the embodiment, the target risk factor screening model is a deep learning model such as a classification model. The target risk factor screening model is trained in the following manner: obtaining initial risk factor samples, scene feature data samples of risk assessment scene samples, and target risk factor samples related to the risk assessment scene samples; inputting the initial risk factor samples and the scene feature data samples of the risk assessment scene samples into a target risk factor screening initial model to obtain target risk factor initial prediction results; inputting the target risk factor initial prediction results and the target risk factor samples into a loss function to obtain an initial result loss value; if the initial result loss value is within a preset acceptable result loss value range, determining the target risk factor screening initial model as the target risk factor screening model; if the initial result loss value is not within the preset acceptable result loss value range, adjusting model parameters of the target risk factor screening initial model to obtain a target risk factor screening first adjustment model; inputting the initial risk factor samples and the scene feature data samples of the risk assessment scene samples into the target risk factor screening first adjustment model to obtain target risk factor first prediction results; inputting the target risk factor first prediction results and the target risk factor samples into the loss function to obtain a first result loss value; if the first result loss value is within the preset acceptable result loss value range, determining the target risk factor screening first adjustment model as the target risk factor screening model; if the first result loss value is not within the preset acceptable result loss value range, adjusting the model parameters of the target risk factor screening first adjustment model; and so on, until the result loss value between the target risk factor prediction results output by the target risk factor screening target model after adjusting the model parameters and the target risk factor samples is within the preset acceptable result loss value range, and the target risk factor screening target model after adjusting the model parameters is determined as the target risk factor screening model.

[0059] In this embodiment, the target risk factor screening model can also be trained in the following manner: obtaining initial risk factor samples; obtaining extreme condition data for the survival of specific aquatic biological samples in water areas; selecting initial risk factor samples that match the extreme condition data for the survival of specific aquatic biological samples in water areas from the initial risk factor samples as extreme condition factor samples for survival in water areas; obtaining environmental change characteristic data of the water area entry location area when the specific aquatic biological sample enters the water area, the water area entry location area being the water area where the specific aquatic biological sample enters the water area; selecting initial risk factor samples that match the environmental change characteristic data of the water area entry location area when the specific aquatic biological sample enters the water area as water area environment change factor samples from the initial risk factor samples; adding the extreme condition factor samples for survival in water areas and the water area environment change factor samples to the target risk factor sample set related to the risk assessment scenario sample; obtaining a training data set for training the target risk factor screening model based on the initial risk factor samples, the scenario characteristic data samples of the risk assessment scenario samples, and the target risk factor sample set related to the risk assessment scenario samples; and training the target risk factor screening model based on the training data set for training the target risk factor screening model. Among them, the meaning of the scenario feature data sample of the risk assessment scenario sample is the same as the meaning of the scenario feature data of the risk assessment specific scenario in the second embodiment. The scenario feature data sample of the risk assessment scenario sample can also be obtained from the database of the server 102 or from other external databases.

[0060] The following uses the specific aquatic organism sample, Tilapia zebrina, as an example to illustrate the training process of the target risk factor screening model. It should be noted that in this embodiment, the specific aquatic organism may also be any other aquatic organism besides Tilapia zebrina.

[0061] First, initial risk factors related to the evaluation of the risk of the Oreochromis niloticus invading water areas are obtained as initial risk factor samples. Second, limit condition data of the Oreochromis niloticus surviving in water areas are obtained, and initial risk factor samples matching the limit condition data of the Oreochromis niloticus surviving in water areas are selected from the initial risk factor samples as water area survival limit condition factor samples. For example, the suitable growth temperature range of the Oreochromis niloticus is 15℃-35℃, the Oreochromis niloticus will be frozen to death when the water temperature is lower than 10℃, and the highest critical temperature is about 40℃-41℃, so the upper limit of the temperature of the Oreochromis niloticus surviving in water areas is 41℃, and the lower limit of the temperature of the Oreochromis niloticus surviving in water areas is 10℃. At the same time, the initial risk factor sample matching the upper limit of the temperature of the Oreochromis niloticus surviving in water areas is the upper limit temperature factor, and the initial risk factor sample matching the lower limit of the temperature of the Oreochromis niloticus surviving in water areas is the lower limit temperature factor, so the upper limit temperature factor and the lower limit temperature factor are water area survival limit condition factor samples. The Oreochromis niloticus has strong hypoxia tolerance, and the suffocation point is 0.07-0.23 mg / L, so the lower limit of the dissolved oxygen content of the Oreochromis niloticus surviving in water areas is 0.07 mg / L. At the same time, the initial risk factor sample matching the lower limit of the dissolved oxygen content of the Oreochromis niloticus surviving in water areas is the lower limit dissolved oxygen content factor, so the lower limit dissolved oxygen content factor is also a water area survival limit condition factor. The suitable PH value of the Oreochromis niloticus is 7.0-9.0, the initial risk factor matching the limit data of the PH value of the Oreochromis niloticus surviving in water areas is the upper limit PH value factor and the lower limit PH value factor, so the upper limit PH value factor and the lower limit PH value factor are also water area survival limit condition factor samples. The above limit condition data only takes temperature, dissolved oxygen content and PH value as examples, and the limit condition data of the Oreochromis niloticus surviving in water areas may also include other data in practice, and correspondingly, the water area survival limit condition factor samples also include other risk factors. When the specific aquatic organism is an aquatic organism other than the Oreochromis niloticus, the limit condition data of the specific aquatic organism sample surviving in water areas may be different from the limit condition data of the Oreochromis niloticus surviving in water areas, and correspondingly, the water area survival limit condition factor samples are also different from the water area survival limit condition factor samples of the Oreochromis niloticus. Third, environmental change characteristic data of the water area entry location area when the Oreochromis niloticus enters water areas are obtained, and initial risk factor samples matching the environmental change characteristic data of the water area entry location area when the Oreochromis niloticus enters water areas are selected from the initial risk factor samples as water area environmental change factor samples.The water area entry position area is the water area where the Oreochromis niloticus enters the water area, that is, the water area where the Oreochromis niloticus is located at the moment of entering the water area. It can be a small tributary of the water area, an artificial ditch connecting the water area, or the main stream of the water area. The environmental change characteristic data of the water area entry position area can be obtained by placing an environmental characteristic data monitor for monitoring environmental characteristics in the water area entry position area. The environmental characteristic data monitor includes a water temperature sensor, a depth sensor, a flow rate sensor, an inorganic matter sensor, a conductivity sensor, a turbidity sensor, a sonar sensor, a dissolved oxygen sensor, a pH sensor, etc. The environmental characteristic data monitor sends the data monitored by the water area entry position monitor when the Oreochromis niloticus enters the water area to the server 102, and then the server 102 obtains the environmental change characteristic data of the water area entry position area when the Oreochromis niloticus enters the water area. The change of the environmental change characteristic data reflects the increase or decrease of the risk of the Oreochromis niloticus entering the water area and invading the water area at this position area. After obtaining the environmental change characteristic data, the initial risk factor sample matched with the environmental change characteristic data of the water area entry position area when the Oreochromis niloticus enters the water area is selected from the initial risk factor sample, such as water temperature change factor, flow rate change factor, turbidity change factor, dissolved oxygen change factor, and pH value change factor, as the water area environmental change factor sample. Then, the above water area survival limit condition factor sample and water area environmental change factor sample are added to the target risk factor sample set related to the Oreochromis niloticus invasion water area risk assessment. Finally, according to the initial risk factor sample, the scene characteristic data sample of the Oreochromis niloticus invasion water area, and the target risk factor sample set related to the Oreochromis niloticus invasion water area, a training data set for training the target risk factor screening model is obtained; and the target risk factor screening model is trained according to the training data set for training the target risk factor screening model.

[0062] Third embodiment

[0063] Compared with the first embodiment, the water biota invasion risk assessment system provided by the embodiment is different from the first embodiment in that the server obtains the second evaluation value of any one target risk factor in the target risk assessment project.

[0064] The aquatic organism invasion risk assessment system provided in the embodiment further includes: an environment characteristic data monitor for a specific water area, configured to send environment characteristic data of the specific water area to the server 102; the server 102 is further configured to: obtain a corresponding relationship list recording a corresponding relationship between identification data of a target risk assessment item, identification data of at least one target risk factor, and identification data of the environment characteristic data monitor for the specific water area; obtain environment characteristic data of the specific water area collected by the environment characteristic data monitor corresponding to the target risk assessment item according to the corresponding relationship between the identification data of the target risk assessment item and the identification data of the environment characteristic data monitor for the specific water area; establish a corresponding relationship between the at least one target risk factor and the collected environment characteristic data of the specific water area according to the corresponding relationship between the identification data of the at least one target risk factor and the identification data of the environment characteristic data monitor for the specific water area; for any one of the at least one target risk factor, obtain environment characteristic data corresponding to the any one target risk factor according to the corresponding relationship between the at least one target risk factor and the collected environment characteristic data of the specific water area; obtain a monitoring evaluation value of the any one target risk factor in the target risk assessment item according to the environment characteristic data corresponding to the any one target risk factor; and obtain a second evaluation value of the target risk factor in the target risk assessment item according to the first evaluation value of the target risk factor, including: obtaining the second evaluation value of the any one target risk factor in the target risk assessment item according to the first evaluation value of the any one target risk factor in the target risk assessment item and the monitoring evaluation value of the any one target risk factor in the target risk assessment item. In the embodiment, the influence of the environment characteristic of the specific water area on the target risk assessment item is considered, so that the monitoring evaluation value of the target risk factor in the target risk assessment item is used when the second evaluation value of the target risk factor in the target risk assessment item is calculated, so that the obtained second evaluation value of the target risk factor is more accurate and closer to the actual situation of the specific water area.

[0065] In the present embodiment, the environmental characteristic data monitor of the specific water area refers to a sensor placed in the specific water area for monitoring the environmental characteristics of the specific water area, such as a water temperature sensor, a depth sensor, a flow rate sensor, an inorganic matter sensor, a conductivity sensor, a turbidity sensor, a sonar sensor, a dissolved oxygen sensor, a pH sensor, etc. The number of environmental characteristic data monitors of the specific water area can be multiple, and the environmental characteristic data monitors send the monitored environmental characteristic data of the specific water area to the server 102. The server 102 obtains the environmental characteristic data of the specific water area sent by the environmental characteristic data monitors, and the server 102 establishes a corresponding relationship between the environmental characteristic data monitors and the identification data of the environmental characteristic data monitors. Through the identification data of the environmental characteristic data monitors, the server 102 can obtain all the environmental characteristic data of the specific water area monitored by the corresponding environmental characteristic data monitors, or a part of the environmental characteristic data of the specific water area satisfying certain conditions. After the server 102 obtains the target risk assessment project, the server 102 establishes a corresponding relationship between the target risk assessment project and the identification data of the target risk assessment project, a corresponding relationship between each target risk factor of the target risk assessment project and the identification data of each target risk factor, and a corresponding relationship between the identification data of each target risk factor and the identification data of the environmental characteristic data monitor of the specific water area. The target risk factor assessment project is a project for assessing the risk of the specific aquatic organism invading the specific water area, and the specific water area to which the environmental characteristic data monitor refers is the same water area as the specific water area in the target risk assessment project. According to all the above corresponding relationships, the server 102 finally establishes a corresponding relationship list of the corresponding relationship between the identification data of the target risk assessment project, the identification data of at least one target risk factor, and the identification data of the environmental characteristic data monitor of the specific water area. The server 102 can pre-establish the corresponding relationship list and directly call it when needed. The following table is used as an example for specific description, and the table is only a schematic diagram and does not represent real data.

[0066]

[0067] Table 5

[0068] For example, in Table 5, the target risk assessment project is a project to assess the risk of Tilapia invading the first water area. The identification data of this target risk assessment project is pgxm0001, the target risk factor identification data fxyz0004 represents the target risk factor water temperature value, and the corresponding environmental characteristic data monitor is the water temperature sensor, and the identification data of the water temperature sensor is jcq010; the target risk factor identification data fxyz0006 represents the target risk factor dissolved oxygen value, and the corresponding environmental characteristic data monitor is the dissolved oxygen sensor, and the identification data of the dissolved oxygen sensor is jcq005; the target risk factor identification data fxyz0008 represents the target risk factor water depth value, and the corresponding environmental characteristic data monitor is the water depth sensor, and the identification data of the water depth sensor is jcq012; the target risk factor identification data fxyz0001 represents the target risk factor water flow rate value, the corresponding environmental characteristic data monitor is the flow rate sensor, and the identification data of the flow rate sensor is jcq020; the target risk factor identification data fxyz0002 represents the target risk factor inorganic content value, and the corresponding environmental characteristic data monitor is the inorganic sensor, and the identification data of the inorganic sensor is jcq017; the target risk factor identification data fxyz0005 represents the target risk factor conductivity value, and the corresponding environmental characteristic data monitor is the conductivity sensor, and the identification data of the conductivity sensor is jcq030; the target risk factor identification data fxyz0003 represents the target risk factor turbidity value, and the corresponding environmental characteristic data monitor is the turbidity sensor, and the identification data of the turbidity sensor is jcq025; and so on, to establish a corresponding relationship between the identification data of the target risk factor and the identification data of the environmental characteristic data monitor. The target risk factors in Table 5 may represent all or part of the target risk factors for the target risk assessment project. Target risk factors for which corresponding data cannot be obtained through the environmental characteristic data monitor are not included in this table. Based on the correspondence table shown in Table 5, the server 102 establishes a correspondence between the target risk factors and the corresponding environmental characteristic data collected by the environmental characteristic data monitor. For example, the target risk factor water temperature value corresponds to the water temperature data collected by the water temperature sensor. Based on the identification data fxyz0004 of the target risk factor water temperature value, the server 102 can obtain all or part of the water temperature data collected by the water temperature sensor for the first water area. Similarly, the server 102 can obtain the environmental characteristic data corresponding to any target risk factor in Table 5. Based on the environmental characteristic data corresponding to any target risk factor, the server 102 obtains the monitoring assessment value of any target risk factor in the target risk assessment project. In other words, the assessment value of the target risk factor in the project, i.e., the monitoring assessment value, can also be obtained based on the data collected by the environmental characteristic data monitor.The server 102 obtains the second evaluation value of the target risk factor in the target risk assessment project based on the first evaluation value of the target risk factor, including: obtaining the second evaluation value of any target risk factor in the target risk assessment project based on the first evaluation value of any target risk factor in the target risk assessment project and the monitored evaluation value of any target risk factor in the target risk assessment project. For example, if the target risk assessment project is a risk assessment project of Tilapia invading a first water area, the server 102 obtains the second evaluation value of the target risk factor water temperature value in the target risk assessment project based on the first evaluation value and the monitored evaluation value of the target risk factor water temperature value in the target risk assessment project. Any other target risk factor that establishes a corresponding relationship with the collected environmental characteristic data of the first water area, such as the target risk factor dissolved oxygen value, can obtain the second evaluation value of the target risk factor in the target risk assessment project based on the first evaluation value and the monitored evaluation value of the target risk factor in the target risk assessment project.

[0069] In this embodiment, based on the environmental characteristic data corresponding to any target risk factor, a monitoring and evaluation value of any target risk factor in the target risk assessment project is obtained, including: obtaining the monitoring and evaluation value of any target risk factor in the target risk assessment project based on the correspondence between a preset range of environmental characteristic data corresponding to any target risk factor and the monitoring and evaluation value of any target risk factor in the target risk assessment project and the environmental characteristic data corresponding to any target risk factor collected; or, inputting the environmental characteristic data corresponding to any target risk factor and the project characteristic data of the target risk assessment project into a risk factor monitoring and evaluation value prediction model to obtain the monitoring and evaluation value of any target risk factor in the target risk assessment project.

[0070] In a specific implementation, the server 102 can pre-set the environmental characteristic data range corresponding to any target risk factor and the monitoring evaluation value of any target risk factor in the target risk assessment project. For example, the monitoring evaluation value of the water temperature is 4 when the water temperature is 0-10°C, the monitoring evaluation value of the water temperature is 3 when the water temperature is 10-20°C, the monitoring evaluation value of the water temperature is 2 when the water temperature is 20-30°C, the monitoring evaluation value of the water temperature is 1 when the water temperature is above 30°C, and the monitoring evaluation value of the water temperature is 0 when the water temperature is -10-0°C. If the water temperature collected by the environmental data monitor of the first water area is any value in 20-30°C, such as 25°C, the monitoring evaluation value of the water temperature in the risk assessment project of the invasion of the specific aquatic organism into the first water area is 2. The server 102 can also obtain the monitoring evaluation value of the target risk factor in the target risk assessment project by using the trained risk factor monitoring evaluation value model, that is, inputting the environmental characteristic data corresponding to any target risk factor and the project characteristic data of the target risk assessment project into the risk factor monitoring evaluation value prediction model to obtain the monitoring evaluation value of any target risk factor in the target risk assessment project. For example, the water temperature collected in the first water area is 25°C, the environmental characteristic data of the target risk factor water temperature value 25°C and the project characteristic data of the risk assessment project of the invasion of the specific aquatic organism into the first water area are input into the risk factor monitoring evaluation value prediction model to obtain the monitoring evaluation value of the target risk factor water temperature value in the risk assessment project of the invasion of the specific aquatic organism into the first water area, which is 2.

[0071] Further, the training process of the risk factor monitoring evaluation value prediction model and the training process of the target risk factor screening model in the second embodiment are similar, and the similar parts will not be repeated here and can be understood in combination with the second embodiment. Specifically, the risk factor monitoring evaluation value prediction model is trained in the following manner: first, obtain the environmental feature data sample corresponding to any one target risk factor sample, the project feature data sample of the risk assessment project sample, and the monitoring evaluation value sample of any one target risk factor sample in the risk assessment project sample; input the environmental feature data sample corresponding to any one target risk factor sample and the project feature data sample of the risk assessment project sample into the risk factor monitoring evaluation value prediction initial model to obtain the initial monitoring evaluation value of any one target risk factor sample in the risk assessment project sample. Second, input the initial monitoring evaluation value of any one target risk factor sample in the risk assessment project sample and the monitoring evaluation value sample of any one target risk factor sample in the risk assessment project sample into the loss function to obtain the loss value of the initial monitoring evaluation value. Third, if the loss value of the initial monitoring evaluation value is within the preset acceptable monitoring evaluation value loss value range, the risk factor monitoring evaluation value prediction initial model is determined as the risk factor monitoring evaluation value prediction model; if the loss value of the initial monitoring evaluation value is not within the preset acceptable monitoring evaluation value loss value range, the model parameters of the risk factor monitoring evaluation value prediction initial model are adjusted to obtain a risk factor monitoring evaluation value prediction first adjustment model. Then, input the environmental feature data sample corresponding to any one target risk factor sample and the project feature data sample of the risk assessment project sample into the risk factor monitoring evaluation value prediction first adjustment model to obtain the first monitoring evaluation value of any one target risk factor sample in the risk assessment project sample; input the first monitoring evaluation value of any one target risk factor sample in the risk assessment project sample and the monitoring evaluation value sample of any one target risk factor sample in the risk assessment project sample into the loss function to obtain the loss value of the first monitoring evaluation value. Finally, if the loss value of the first monitoring evaluation value is within the preset acceptable monitoring evaluation value loss value range, the risk factor monitoring evaluation value prediction first adjustment model is determined as the risk factor monitoring evaluation value prediction model; if the loss value of the first monitoring evaluation value is not within the preset acceptable monitoring evaluation value loss value range, the model parameters of the risk factor monitoring evaluation value prediction first adjustment model are adjusted to obtain a risk factor monitoring evaluation value prediction second adjustment model.By analogy, until the loss value of the monitoring evaluation value between the target monitoring evaluation value of any one target risk factor sample in the risk evaluation project sample and the monitoring evaluation value sample of any one target risk factor sample in the risk evaluation project sample predicted by the risk factor monitoring evaluation value prediction target model is within the preset acceptable monitoring evaluation value loss value range, the risk factor monitoring evaluation value prediction target model is determined as the risk factor monitoring evaluation value prediction model.

[0072] Fourth embodiment

[0073] In the aquatic organism invasion risk assessment system provided in the embodiment, the target risk factor includes an aquatic organism release intensity factor used to represent a predicted frequency of releasing aquatic organisms into a water area within a specific time period; the aquatic organism invasion risk assessment system further includes a geographic data server 105 configured to store geographic data; the server 102 is further configured to: send a coastal geographic object request message to the geographic data server, the coastal geographic object request message being used to request to obtain coastal geographic objects of a specific water area; obtain a list of coastal geographic objects of the specific water area returned by the geographic data server in response to the coastal geographic object request message, the list of coastal geographic objects of the specific water area recording identification data of the coastal geographic objects of the specific water area, and the coastal geographic objects of the specific water area being geographic objects having a nearest straight-line distance from the specific water area within a preset distance range; for any one of the coastal geographic objects in the list of coastal geographic objects of the specific water area, obtain geographic object feature data of the any one of the coastal geographic objects according to the identification data of the any one of the coastal geographic objects; determine whether the any one of the coastal geographic objects has an aquatic organism release feature according to the geographic object feature data of the any one of the coastal geographic objects; if it is determined that the any one of the coastal geographic objects has the aquatic organism release feature, send a guide route data request message to the geographic data server 105, the guide route data request message being used to request to obtain guide route data from the any one of the coastal geographic objects to the specific water area; obtain travel convenience data from the any one of the coastal geographic objects to the specific water area according to the guide route data; obtain an aquatic organism release risk degree prediction value used to predict a risk degree of releasing aquatic organisms from the any one of the coastal geographic objects to the specific water area according to the travel convenience data, the aquatic organism release risk degree prediction value being taken as an aquatic organism release risk degree prediction value of the any one of the coastal geographic objects; after obtaining the aquatic organism release risk degree prediction value of each of the coastal geographic objects in the list of coastal geographic objects of the specific water area, obtain an evaluation value of the aquatic organism release intensity factor according to the aquatic organism release risk degree prediction values of all the coastal geographic objects, the evaluation value of the aquatic organism release intensity factor being taken as a reference evaluation value of the aquatic organism release intensity factor; obtain a second evaluation value of the target risk factor in the target risk assessment project according to the first evaluation value of the target risk factor, including: obtaining the second evaluation value of the target risk factor in the target risk assessment project according to the first evaluation value of the aquatic organism release intensity factor in the target risk assessment project and the reference evaluation value of the aquatic organism release intensity factor. The aquatic organism refers to a general aquatic organism and is not limited to a specific aquatic organism; the water area refers to all water areas, such as rivers, ditches, lakes, and certain tributaries; the predicted frequency refers to a number of times of releasing aquatic organisms into a water area within a specific time period, and the specific time period can be one year or any other time period. The geographic data includes related data of geographic objects, and the related data of each geographic object at least includes identification data of the geographic object and feature data of the geographic object.The geographic object can refer to a supermarket, a school, a community, a restaurant, etc., can refer to a door of a school, a building of a community, a unit of a building of a community, etc., can refer to a river, a man-made building in the river, a natural island in the river, etc. The specific water area in the embodiment has the same meaning as the specific water area in the first embodiment of the application, and the minimum straight-line distance between the geographic object position and the specific water area position is obtained by calculation as the nearest straight-line distance between the geographic object and the specific water area. The geographic object with the nearest straight-line distance within the preset distance range is the coastal geographic object of the specific water area, for example, the geographic object with the nearest straight-line distance within one kilometer is the coastal geographic object of the specific water area, and the identification data of the geographic object is the identification data of the coastal geographic object of the specific water area. The list composed of the coastal geographic objects of the specific water area is the coastal geographic object list of the specific water area, and the coastal geographic object list of the specific water area records the identification data of the coastal geographic object of the specific water area. The geographic object feature data of the coastal geographic object refers to the data related to the characteristics of the aquatic organism and the coastal geographic object, for example, a coastal geographic object is a restaurant, the restaurant buys or raises aquatic organisms or raises ornamental fish, etc., and the data related to the aquatic organisms in the restaurant, whether the restaurant will release aquatic organisms into the specific water area, whether the restaurant has a history of releasing aquatic organisms, the frequency of releasing aquatic organisms, etc. are the geographic object feature data of the restaurant.

[0074] In specific implementation, according to the geographic object feature data of any one coastal geographic object, it is determined whether the any one coastal geographic object has the water living organism releasing feature, comprising: inputting the geographic object feature data of any one coastal geographic object into a water living organism releasing feature prediction model to obtain a prediction result of whether the any one coastal geographic object has the water living organism releasing feature. Wherein, the water living organism releasing feature prediction model is obtained by training in the following manner: firstly, obtain the geographic object feature data sample of any one coastal geographic object and the prediction result sample of whether the any one coastal geographic object has the water living organism releasing feature; input the geographic object feature data sample of any one coastal geographic object into a water living organism releasing feature prediction initial model to obtain an initial prediction evaluation value of whether the any one coastal geographic object has the water living organism releasing feature; input the initial prediction evaluation value of whether the any one coastal geographic object has the water living organism releasing feature and the prediction result sample of whether the any one coastal geographic object has the water living organism releasing feature into a loss function to obtain a loss value of the initial prediction evaluation value; if the loss value of the initial prediction evaluation value is within a preset acceptable loss value range of the prediction evaluation value, the water living organism releasing feature prediction initial model is determined as the water living organism releasing feature prediction model; secondly, if the loss value of the initial prediction evaluation value is not within the preset acceptable loss value range of the prediction evaluation value, the model parameters of the water living organism releasing feature prediction initial model are adjusted to obtain a water living organism releasing feature prediction first adjustment model; input the geographic object feature data sample of any one coastal geographic object into the water living organism releasing feature prediction first adjustment model to obtain a first prediction evaluation value of whether the any one coastal geographic object has the water living organism releasing feature; input the first prediction evaluation value of whether the any one coastal geographic object has the water living organism releasing feature and the prediction result sample of whether the coastal geographic object has the water living organism releasing feature into the loss function to obtain a loss value of the first prediction evaluation value; if the loss value of the first prediction evaluation value is within the preset acceptable loss value range of the prediction evaluation value, the water living organism releasing feature prediction first adjustment model is determined as the water living organism releasing feature prediction model; if the loss value of the first prediction evaluation value is not within the preset acceptable loss value range of the prediction evaluation value, the model parameters of the water living organism releasing feature prediction first adjustment model are adjusted to obtain a water living organism releasing feature prediction second adjustment model; thirdly, by analogy, until the prediction evaluation value loss value between the target prediction evaluation value of whether the any one coastal geographic object has the water living organism releasing feature output by the water living organism releasing feature prediction target model after adjusting the model parameters and the prediction result sample of whether the any one coastal geographic object has the water living organism releasing feature is within the preset acceptable loss value range of the prediction evaluation value, the water living organism releasing feature prediction target model is determined as the water living organism releasing feature prediction model.

[0075] In this embodiment, the guidance route data includes guidance route data for using a variety of travel modes to depart from any coastal geographical object to a specific water area; based on the guidance route data, travel convenience data for departing from any coastal geographical object to a specific water area is obtained, including: inputting the guidance route data for using a variety of travel modes to depart from any coastal geographical object to a specific water area into a travel convenience data prediction model to obtain travel convenience data for departing from any coastal geographical object to a specific water area. Among them, multiple travel modes refer to various travel modes such as driving, public transportation, taxi, walking, and cycling. The guidance route data includes guidance route data for using the above travel modes to reach specific waters from any coastal geographical object, such as guidance route data for driving from any coastal geographical object to reach specific waters (driving route, time required for driving, etc.) and guidance route data for using public transportation from any coastal geographical object to reach specific waters (public transportation route, time for using public transportation, remaining distance, whether walking is required, etc.) and guidance route data for taking a taxi from any coastal geographical object to reach specific waters (taxi route, time required for taking a taxi, whether there is traffic jam, whether there are other routes, etc.).

[0076] The travel convenience data prediction model is trained in the following way: first, obtain the guidance route data samples of using a variety of travel modes to reach a specific water area from any coastal geographical object and the travel convenience data samples of using a variety of travel modes to reach a specific water area from any coastal geographical object; input the guidance route data samples of using a variety of travel modes to reach a specific water area from any coastal geographical object into the travel convenience data prediction initial model to obtain the initial prediction evaluation value of the travel convenience data of using a variety of travel modes to reach a specific water area from any coastal geographical object; input the initial prediction evaluation value of the travel convenience data of using a variety of travel modes to reach a specific water area from any coastal geographical object The value and the travel convenience data sample of any coastal geographical object starting from and arriving at a specific water area are input into the loss function to obtain the loss value of the initial prediction evaluation value; if the loss value of the initial prediction evaluation value is within the loss value range of the preset acceptable prediction evaluation value, the travel convenience data prediction initial model is determined as the travel convenience data prediction model; secondly, if the loss value of the initial prediction evaluation value is not within the loss value range of the preset acceptable prediction evaluation value, the model parameters of the travel convenience data prediction initial model are adjusted to obtain the first adjustment model of travel convenience data prediction; the guidance of using multiple travel modes to start from any coastal geographical object and arrive at a specific water area is obtained. The route data sample is input into the first adjustment model for predicting the travel convenience data to obtain the first prediction evaluation value of the travel convenience data of any coastal geographical object departing from and arriving at a specific water area; the first prediction evaluation value of the travel convenience data of any coastal geographical object departing from and arriving at a specific water area and the travel convenience data sample of any coastal geographical object departing from and arriving at a specific water area are input into the loss function to obtain the loss value of the first prediction evaluation value; if the loss value of the first prediction evaluation value is within the preset loss value range of the acceptable prediction evaluation value, the first adjustment model for predicting the travel convenience data is determined as the travel convenience data prediction model; again, if the first prediction evaluation value is within the preset loss value range of the acceptable prediction evaluation value, the first adjustment model for predicting the travel convenience data is determined as the travel convenience data prediction model; If the estimated loss value is not within the preset loss value range of acceptable predicted evaluation values, the model parameters of the first adjustment model for travel convenience data prediction are adjusted to obtain the second adjustment model for travel convenience data prediction; and so on, until the loss value of the target predicted evaluation value of travel convenience data from any coastal geographical object to a specific water area output by the travel convenience data prediction target model after adjusting the model parameters and the predicted evaluation value between the travel convenience data sample from any coastal geographical object to a specific water area is within the preset loss value range of acceptable predicted evaluation values, the travel convenience data prediction target model is determined as the travel convenience data prediction model.

[0077] In a specific implementation, obtaining an aquatic organism release risk prediction value for predicting the risk of releasing aquatic organisms from any coastal geographic object into a specific water area based on the travel convenience data includes: obtaining an aquatic organism release risk prediction value corresponding to the travel convenience data based on the correspondence between the travel convenience data range and the aquatic organism release risk prediction value and the travel convenience data, as the aquatic organism release risk prediction value for predicting the risk of releasing aquatic organisms from any coastal geographic object into the specific water area. For example, the correspondence between the travel convenience data range and the aquatic organism release risk prediction value can be pre-set on the server 102, or the correspondence between the travel convenience data range and the aquatic organism release risk prediction value can be obtained using other methods. For example, the travel convenience data range is 0-10, and the corresponding aquatic organism release risk prediction value is 0 (indicating a low aquatic organism release risk). If the travel convenience data obtained in the above steps for reaching a specific water area from any coastal geographical object is 5, then the aquatic organism release risk prediction value for predicting the risk of releasing aquatic organisms from any coastal geographical object to a specific water area is 0.

[0078] In the embodiment, the evaluation value for the release intensity factor of aquatic organisms is obtained according to the release risk degree prediction values of all the coastal geographical objects, including: judging whether there is a release risk degree prediction value reaching or exceeding the release risk degree threshold value in the release risk degree prediction values of all the coastal geographical objects; if yes, obtaining a high release risk degree prediction value of aquatic organisms according to the release risk degree prediction value reaching or exceeding the release risk degree threshold value, and obtaining the evaluation value for the release intensity factor of aquatic organisms corresponding to the high release risk degree prediction value of aquatic organisms according to the corresponding relationship between the release risk degree prediction value range and the evaluation value for the release intensity factor of aquatic organisms and the high release risk degree prediction value of aquatic organisms; otherwise, obtaining a low release risk degree prediction value of aquatic organisms according to the release risk degree prediction values of all the coastal geographical objects, and obtaining the evaluation value for the release intensity factor of aquatic organisms corresponding to the low release risk degree prediction value of aquatic organisms according to the corresponding relationship between the release risk degree prediction value range and the evaluation value for the release intensity factor of aquatic organisms and the low release risk degree prediction value of aquatic organisms. For example, according to the above steps, the release risk degree prediction values of all the coastal geographical objects in a specific water area are calculated, if there is a release risk degree prediction value reaching or exceeding the release risk degree threshold value in the release risk degree prediction values, a high release risk degree prediction value of aquatic organisms is obtained according to the release risk degree prediction value reaching or exceeding the release risk degree threshold value, including: calculating the average value of the release risk degree prediction values reaching or exceeding the release risk degree threshold value, and taking the average value as the high release risk degree prediction value of aquatic organisms. For example, the release risk degree threshold value is 5, and the release risk degree prediction values of five coastal geographical objects in the release risk degree prediction values of all the coastal geographical objects in a specific water area exceed 5, which are 6, 6, 9, 7 and 10 respectively, and the average value of the five values is 7.6, which is the high release risk degree prediction value of aquatic organisms. After obtaining the high release risk degree prediction value of aquatic organisms, the evaluation value for the release intensity factor of aquatic organisms corresponding to the high release risk degree prediction value of aquatic organisms is obtained according to the corresponding relationship between the release risk degree prediction value range and the evaluation value for the release intensity factor of aquatic organisms and the high release risk degree prediction value of aquatic organisms. For example, the release risk degree prediction value is 0-3 (including 3), the corresponding evaluation value for the release intensity factor of aquatic organisms is 0, the release risk degree prediction value is 3-6 (including 6), the corresponding evaluation value for the release intensity factor of aquatic organisms is 1, the release risk degree prediction value is 6-10 (including 10), the corresponding evaluation value for the release intensity factor of aquatic organisms is 3, and if the high release risk degree prediction value of aquatic organisms is 7.6, the corresponding evaluation value for the release intensity factor of aquatic organisms is 3, that is, the reference evaluation value for the release intensity factor of aquatic organisms is 3.If there is no aquatic organism release risk degree prediction value reaching or exceeding the aquatic organism release risk degree threshold value in all aquatic organism release risk degree prediction values of the coastal geographical objects in the specific water area, the aquatic organism release low risk degree prediction value is obtained according to the aquatic organism release risk degree prediction values of all the coastal geographical objects, including: calculating the average value of the aquatic organism release risk degree prediction values of all the coastal geographical objects, and taking the average value as the aquatic organism release low risk degree prediction value. For example, the aquatic organism release risk degree prediction values of all the coastal geographical objects are 1, 0, 1, 4, 3, 2, 0, 4, 4, and 2 respectively, and the aquatic organism release low risk degree prediction value is 2.1. According to the corresponding relationship between the aquatic organism release risk degree prediction value range and the evaluation value of the aquatic organism release intensity factor, the evaluation value of the aquatic organism release intensity factor corresponding to the aquatic organism release low risk degree prediction value 2.1 is 0, that is, the reference evaluation value of the aquatic organism release intensity factor is 0.

[0079] In the embodiment, the second evaluation value of the aquatic organism release intensity factor in the target risk evaluation project is obtained according to the first evaluation value of the aquatic organism release intensity factor in the target risk evaluation project and the reference evaluation value of the aquatic organism release intensity factor, including: obtaining the weighted average value of the first evaluation value of the aquatic organism release intensity factor in the target risk evaluation project and the reference evaluation value of the aquatic organism release intensity factor as the second evaluation value of the aquatic organism release intensity factor in the target risk evaluation project; or if the reference evaluation value of the aquatic organism release intensity factor is higher than the first evaluation value of the aquatic organism release intensity factor in the target risk evaluation project, taking the reference evaluation value of the aquatic organism release intensity factor as the second evaluation value of the aquatic organism release intensity factor in the target risk evaluation project. In the embodiment, through the data obtained by the server 102 from the geographical data server 105, whether the coastal geographical object in the specific water area has the aquatic organism release feature can be relatively accurately judged, and the reference evaluation value of the aquatic organism release intensity factor is obtained according to the aquatic organism release risk degree prediction values of all the coastal geographical objects, so that the artificial on-site investigation of the coastal geographical objects is avoided, the efficiency of judging whether the coastal geographical object has the aquatic organism release feature is improved, the obtained result is closer to the actual situation, and the finally obtained second evaluation value of the target risk factor is more accurate.

[0080] Fifth embodiment

[0081] Reference Figure 8The aquatic organism invasion risk assessment system provided by this embodiment also includes: video monitors set at multiple locations in a specific water area; the video monitors are used to monitor environmental image data of the areas where the multiple locations are located, and send the monitored environmental image data of the areas where the multiple locations are located to the server 102; the server 102 is also used to: obtain environmental DNA detection results; if the environmental DNA detection results indicate that the DNA sequence of a specific aquatic organism is detected based on the environmental sample at the specified location in the specific water area, then determine whether a video monitor is set in the area where the specified location in the specific water area is located based on the position data of the video monitor in the specific water area; if a video monitor is set in the area where the specified location in the specific water area is located, then the video monitor set at the specified location is used to monitor the environment of the aquatic organism. The environmental image data of the target collection period is obtained from the environmental image data sent by the video monitors in the area where the user is located. The target collection period includes the collection time points of environmental samples at the designated location. Based on the environmental image data of the target collection period, an environmental image judgment result is obtained to indicate whether a specific aquatic organism has entered the area where the designated location is located during the target collection period. Confidence data of the environmental DNA detection result is obtained based on the environmental image judgment result. A risk assessment value for the target risk assessment item is obtained based on the second assessment value of the target risk factor, including: obtaining the risk assessment value for the target risk assessment item based on the second assessment value in the target risk assessment item, the environmental DNA detection result, and the confidence data of the environmental DNA detection result. The video monitors can be multiple and waterproof, and are used to monitor environmental image data of the area where multiple locations in the specific water area are located. The monitored environmental image data is sent to the server 102. The server 102 uses the environmental image data to assist in confirming whether specific aquatic organisms exist in the multiple locations in the specific water area. The server 102 has the location data of each video monitor. Based on the environmental image data of the target collection period, an environmental image judgment result is obtained to indicate whether a specific aquatic organism has entered the area where the designated location is located during the target collection period, including: inputting the environmental image data of the target collection period into a specific aquatic organism image recognition model to obtain an environmental image judgment result of whether a specific aquatic organism has entered the area where the designated location is located during the target collection period. Among them, environmental DNA refers to DNA (DeoxyriboNucleic Acid) directly obtained from environmental samples, including DNA released by animals, plants, and microorganisms in the air, soil, water, and other environments. DNA refers to deoxyribonucleic acid, which is one of the four biological macromolecules contained in biological cells. In this embodiment, the environmental sample terminal detects the environmental sample collected at a designated location in a specific water area, and the detection result obtained after the detection is sent to the server 102 as the environmental DNA detection result, and the server 102 obtains the environmental DNA detection result sent by the environmental sample terminal.For example, when the environmental DNA detection result indicates that the DNA sequence of a specific aquatic organism is detected in the environmental sample based on the specified location in the specific water area, the environmental DNA detection result is 1, and when the environmental DNA detection result indicates that the DNA sequence of the specific aquatic organism is not detected in the environmental sample based on the specified location in the specific water area, the environmental DNA detection result is 0. The environmental sample terminal can collect the environmental sample of the specified location in the specific water area at a specified collection time point through the environmental sample sampler arranged at the specified location in the specific water area, for example, with reference to FIG. 1. Figure 8 The area where the black dots are located in the figure is the arrangement position of the environmental sample sampler. One or more environmental sample samplers can be arranged at the position where the black dots are located in the figure. The environmental sample sampler can include one or more of a water quality sampler, a soil sampler, and a sediment sampler. The water quality sampler can quantitatively sample water into a specified sampling bottle through remote control or according to a set program, and complete low-temperature refrigeration. The soil sampler is used to collect soil samples in water. The sediment sampler is used to collect sediment samples at the bottom of the water. The distance between the environmental sample samplers, the distance between the environmental sample samplers and the video monitor, and the distance between the multiple video monitors cannot exceed a preset distance threshold. The closest distance is subject to the normal working relationship between the samplers and the video monitors. Further, if the environmental DNA detection result obtained by the server 102 indicates that the DNA sequence of the specific aquatic organism is detected in the environmental sample based on the specified location in the specific water area, it is determined whether a video monitor is arranged in the area where the specified location in the specific water area is located. Specifically, the server 102 can determine whether the area where the specified location in the specific water area is located contains a video monitor by determining whether the position data of the video monitor contains the position data of the specified location in the specific water area. If a video monitor is arranged in the area where the specified location in the specific water area is located, the environmental image data of the target collection period is obtained from the environmental image data sent by the video monitor arranged in the area where the specified location is located. The target collection period includes the collection time point of the environmental sample collected at the specified location. Then, the environmental image data of the target collection period is input into the specific aquatic organism image recognition model to obtain the environmental image determination result of whether the specific aquatic organism enters the area where the specified location is located in the target collection period. The specific aquatic organism image recognition model realizes the recognition of the image of the specific aquatic organism through the extraction of the characteristics of the specific aquatic organism and the training of the model.

[0082] Further, the confidence data of the environmental DNA detection result is obtained according to the environmental image judgment result. For example, when the possibility that the image of the specific aquatic organism is contained in the environmental image data is set to be 85% or more in the specific aquatic organism recognition model, it is indicated that the specific aquatic organism enters the area where the specified position of the specific water area is located in the target collection period. When the possibility that the image of the specific aquatic organism is contained in the environmental image data is set to be 15% or less in the specific aquatic organism recognition model, it is indicated that the specific aquatic organism does not enter the area where the specified position of the specific water area is located in the target collection period. Then, the environmental image data of the target collection period is input into the specific aquatic organism image recognition model. If the image of the specific aquatic organism is recognized by the specific aquatic organism image recognition model, the confidence data of the environmental DNA detection result is 0.85. If the image of the specific aquatic organism is not recognized by the specific aquatic organism image recognition model, the confidence data of the environmental DNA detection result is 0.15. In this embodiment, the confidence data of the environmental DNA detection result can be used as the weight data of the environmental DNA detection result. When the product result of the environmental DNA detection result and the weight data of the environmental DNA detection result is greater than the second evaluation value in the target risk assessment item, the product result of the environmental DNA detection result and the weight data of the environmental DNA detection result is used as the risk assessment value of the target risk assessment item. When the product result of the environmental DNA detection result and the weight data of the environmental DNA detection result is less than the second evaluation value in the target risk assessment item, the second evaluation value in the target risk assessment item is used as the risk assessment value of the target risk assessment item.

[0083] Reference Figure 9The aquatic organism invasion risk assessment system provided by this embodiment further includes: a geographic data server 105 for storing geographic data; the server 102 is further used to: send a geographic data first request message for requesting to obtain water intersection location data and waterway intersection location data to the geographic data server 105, where the water intersection location data is the location data of the intersection of a specific water area and a connected water area, the connected water area is a water area that has an intersection with the specific water area, the waterway intersection location data is the location data of the intersection of a navigable path and the specific water area, and the navigable path is a path that can reach the specific water area and is navigable; obtain the geographic data server 10 5. With respect to the water intersection location data and waterway intersection location data returned by the first geographic data request message, at least one location is selected from the water intersection location indicated by the water intersection location data and the waterway intersection location indicated by the waterway intersection location data as the reference location for setting the video monitor and the reference location for collecting environmental samples; at least one location is selected from locations within a first distance range from the reference location for setting the video monitor; and at least one location is selected from locations within a second distance range from the reference location for collecting environmental samples as the location for collecting environmental samples. Geographic data is data directly or indirectly associated with a particular location, including natural geographic data and socioeconomic data, such as land cover type data, landform data, soil data, hydrological data, vegetation data, residential data, river data, etc. River data includes river identification, river location, river shape, river length, river direction, flow rate changes, confluences between rivers, and confluences between rivers and land.

[0084] During specific implementation, a geographic data first request message for requesting the water area intersection location data and the waterway intersection location data is sent to the geographic data server 105, including: sending a geographic data first request message for requesting the water area intersection location data, the water flow direction characteristic data between the specific water area and the connected water area, the waterway intersection location data and the traffic flow data at the waterway intersection location represented by the waterway intersection location data to the geographic data server 105; obtaining the water area intersection location data and the waterway intersection location data returned by the geographic data server 105 in response to the geographic data first request message, including: obtaining the water area intersection location data, the water flow direction characteristic data between the specific water area and the connected water area, the waterway intersection location data and the waterway intersection location data returned by the geographic data server in response to the geographic data first request message The method comprises the following steps: selecting at least one location from the water intersection location represented by the water intersection location data and the waterway intersection location represented by the waterway intersection location data as the reference location for setting the video monitor and the reference location for collecting environmental samples, including: selecting, from the water intersection locations, a water intersection location with the characteristic of water flowing from the connected water area to the specific water area based on the water flow direction characteristic data between the specific water area and the connected water area, as the selected water intersection location; selecting, from the waterway intersection locations, a waterway intersection location with a flow data reaching a preset flow data threshold based on the flow data at the waterway intersection location, as the selected waterway intersection location; and determining the selected water intersection location and the selected waterway intersection location as the reference location for setting the video monitor and the reference location for collecting environmental samples. With the specific water area as the reference, all water areas that have an intersection with the specific water area are connected water areas, and there may be one or more connected water areas. The location data of the intersection of the specific water area and the connected water area is the water intersection location data. Because a specific water area may be a section of a river, and there may be no water area that intersects with this section of water area, the number of connected water areas can also be zero, that is, there is no water area intersection. The water flow direction characteristic data between a specific water area and a connected water area at least includes data indicating that the specific water area flows to the connected water area or data indicating that the connected water area flows to the specific water area. Taking the specific water area as a benchmark, all paths that can reach the specific water area and are passable are passable paths. There may be one or more passable paths, and the location data of the intersection of the passable path and the specific water area is the waterway intersection location data. The traffic flow data at the waterway intersection location includes the pedestrian flow data and vehicle flow data passing through the intersection location of the passable path and the specific water area. Reference Figure 8For example, the water flow characteristic of the connecting water area 2 is that the water flows from the connecting water area 2 to a specific water area, and thus the position of the water area intersection point between the connecting water area 2 and the specific water area is selected as the selected water area intersection point position. If the traffic volume of the passable path 1 is large and the traffic volume data reaches a preset traffic volume data threshold value, the position of the waterway intersection point between the passable path 1 and the specific water area is selected as the selected waterway intersection point position. One of the selected water area intersection point position and the selected waterway intersection point position can be selected as the monitor reference setting position, or both of the selected water area intersection point position and the selected waterway intersection point position can be selected as the monitor reference setting position. In addition, it should be noted that Figure 8 The selected water area intersection point position and the selected waterway intersection point position can be multiple in reality.

[0085] Sixth embodiment

[0086] The aquatic organism invasion risk assessment system provided by this embodiment further includes: a geographic data server 105 for storing geographic data; and a server 102 for sending a connected waters list request message to the geographic data server 105 for requesting a connected waters list of a specific waters; obtaining a connected waters list of the specific waters returned by the geographic data server 105 in response to the connected waters list request message, wherein the connected waters list of the specific waters records identification data of connected waters that have intersections with the specific waters; determining, based on the identification data of the connected waters, whether a risk assessment value for a risk assessment project for the connected waters has been obtained, where the risk assessment project for the connected waters is a project that assesses the risk of invasion of the connected waters by specific aquatic organisms; if it is determined that a risk assessment value for the risk assessment project for the connected waters has been obtained, obtaining a risk assessment value for the target risk assessment project based on a second assessment value of a target risk factor, including: obtaining an initial risk assessment value for the target risk assessment project based on the second assessment value of the target risk factor; and using the obtained risk assessment value for the risk assessment project for the connected waters as a reference risk assessment value, and obtaining a risk assessment value for the target risk assessment project based on the initial risk assessment value and the reference risk assessment value. The connected water area list of the specific water area obtained by the server 102 records all connected water areas that have intersections with the specific water area and identification data corresponding to the connected water areas. The server 102 is queried through the identification data of the connected waters to determine whether it has obtained a risk assessment value for a project that assesses the risk of specific aquatic organisms invading the connected waters. If the server 102 has not obtained a risk assessment value for the risk assessment project for the connected waters, then the risk assessment value for the risk assessment project for the specific aquatic organisms invading the specific waters does not need to be considered when obtaining the risk assessment value; if the server 102 has obtained a risk assessment value for the risk assessment project for the connected waters, then the risk assessment value for the risk assessment project for the specific aquatic organisms invading the specific waters needs to be considered when obtaining the risk assessment value, that is, if it is determined that the risk assessment value for the risk assessment project for the connected waters has been obtained, then the risk assessment value for the target risk assessment project is obtained according to the second assessment value of the target risk factor, including: obtaining an initial risk assessment value for the target risk assessment project according to the second assessment value of the target risk factor; using the obtained risk assessment value for the risk assessment project for the connected waters as a reference risk assessment value, and obtaining the risk assessment value for the target risk assessment project according to the initial risk assessment value and the reference risk assessment value.

[0087] In the embodiment, the water flow direction feature data between the specific water area and the connected water area is also recorded in the connected water area list of the specific water area. In implementation, according to the initial risk assessment value and the reference risk assessment value, the risk assessment value for the target risk assessment item is obtained, including: if the initial risk assessment value is lower than the reference risk assessment value, and the water flow direction feature data between the specific water area and the connected water area indicates that the water flow is from the connected water area to the specific water area, the reference risk assessment value is determined as the risk assessment value for the target risk assessment item, or the average of the initial risk assessment value and the reference risk assessment value is determined as the risk assessment value for the target risk assessment item. Further, the server 102 is also configured to: if the initial risk assessment value is higher than the reference risk assessment value, and the water flow direction feature data between the specific water area and the connected water area indicates that the water flow is from the specific water area to the connected water area, the risk assessment value of the risk assessment item for the connected water area is changed to the initial risk assessment value, or the risk assessment value of the risk assessment item for the connected water area is changed to the average of the initial risk assessment value and the reference risk assessment value.

[0088] Seventh embodiment

[0089] In the first embodiment, a water-borne organism invasion risk assessment system is provided, and the seventh embodiment of the present application provides a water-borne organism invasion risk assessment method. The same parts of the embodiments are not described again, please refer to the corresponding part in the first embodiment.

[0090] The water-borne organism invasion risk assessment method provided in the embodiment includes the following steps:

[0091] Step S701: obtaining an initial risk factor importance first evaluation value, the initial risk factor being an initial risk factor related to a risk assessment specific scenario, the risk assessment specific scenario being a scenario of assessing the risk of a specific water-borne organism invading a water area, and the importance first evaluation value being an evaluation value output by an importance evaluation subject for the importance of the initial risk factor in the risk assessment specific scenario.

[0092] Step S702: obtaining an initial risk factor importance second evaluation value according to the importance first evaluation value.

[0093] Step S703: selecting a target risk factor related to the risk assessment specific scenario from the initial risk factor according to the importance second evaluation value, the importance second evaluation value being an evaluation value output by an importance evaluation subject for the importance of the initial risk factor in the risk assessment specific scenario, and the target risk factor being a risk factor needed to be used for assessing the risk of the specific water-borne organism invading the water area in the risk assessment specific scenario.

[0094] Step S704: Obtain the first evaluation value of the risk value evaluation subject for the target risk factor in the target risk evaluation project as the first evaluation value of the target risk factor. The target risk evaluation project is a project for evaluating the risk of specific aquatic organisms invading specific waters.

[0095] Step S705: Obtain a second evaluation value of the target risk factor in the target risk assessment item according to the first evaluation value of the target risk factor as the second evaluation value of the target risk factor.

[0096] Step S706: Obtain a risk assessment value for the target risk assessment item according to the second assessment value of the target risk factor.

[0097] In step S702, according to the first importance evaluation value, the second importance evaluation value of the initial risk factor is obtained, including: according to the first importance evaluation value and the professional level evaluation value of the importance evaluation subject, the second importance evaluation value of the initial risk factor is obtained, wherein the professional level evaluation value of the importance evaluation subject is the professional level evaluation value of the importance evaluation subject for the specific risk assessment scenario or the initial risk factor. In specific implementation, there are multiple initial risk factors and multiple importance evaluation subjects; according to the first importance evaluation value and the professional level evaluation value of the importance evaluation subject, the second importance evaluation value of the initial risk factor is obtained, including: for any initial risk factor, obtaining the product result of the importance evaluation value of any importance evaluation subject for any initial risk factor and the professional level evaluation value of any importance evaluation subject as the product data corresponding to any initial risk factor for any importance evaluation subject; after obtaining the product results corresponding to multiple importance evaluation subjects for any initial risk factor, obtaining multiple importance evaluation subjects for any initial risk factor. The sum data of the product results corresponding to the body is used as the product result and data for any one of the initial risk factors; the sum data of the professional level assessment values ​​of multiple importance assessment subjects for a specific risk assessment scenario is obtained as the first professional level sum data, or the sum data of the professional level assessment values ​​of multiple importance assessment subjects for any one of the risk factors is obtained as the second professional level sum data; the quotient data between the product result and data for any one of the initial risk factors and the first professional level sum data is obtained as the second importance assessment value of any one of the initial risk factors, or the quotient data between the product result and data for any one of the initial risk factors and the second professional level sum data is obtained as the second importance assessment value of any one of the initial risk factors.

[0098] The aquatic biological invasion risk assessment method provided in this embodiment also includes: obtaining the second importance evaluation value of the target risk factor from the second importance evaluation value of the initial risk factor; selecting the target risk factor related to the specific risk assessment scenario from the initial risk factors based on the second importance evaluation value, including: sorting the initial risk factors in order from high to low according to the second importance evaluation value; selecting multiple initial risk factors with the top ranking and the sum of the second importance evaluation value not lower than the sum result threshold as the target risk factor, the sum of the second importance evaluation value is the sum of the second importance evaluation values ​​of the multiple initial risk factors with the top ranking, and the sum result threshold is obtained based on the sum of the second importance evaluation values ​​of all initial risk factors and a preset sum result ratio.

[0099] The aquatic biological invasion risk assessment method provided in this embodiment also includes: obtaining a professional level assessment value of the risk value assessment subject for the target risk assessment item or target risk factor as the professional level assessment value of the risk value assessment subject; obtaining a second assessment value of the importance of the target risk factor from the second assessment value of the importance of the initial risk factor; obtaining a second assessment value of the target risk factor in the target risk assessment item based on the first assessment value of the target risk factor, including: obtaining the second assessment value of the target risk factor in the target risk assessment item based on the first assessment value of the target risk factor, the second assessment value of the importance of the target risk factor and the professional level assessment value of the risk value assessment subject. In specific implementation, there are multiple target risk factors and multiple risk value assessment subjects; according to the first assessment value of the target risk factor, the second assessment value of the importance of the target risk factor and the professional level assessment value of the risk value assessment subject, the second assessment value of the target risk factor in the target risk assessment project is obtained, including: for any target risk factor, obtaining the product result of the second assessment value of the importance of any target risk factor and the assessment value of any risk value assessment subject for any target risk factor in the target risk assessment project, as the first weighted result of any target risk factor corresponding to any risk value assessment subject; obtaining the first weighted result of any target risk factor and the product result of any target risk factor in the target risk assessment project; The quotient data between the assessment upper limit values ​​in the assessment project is used as the first weighted result quotient data of any target risk factor corresponding to any risk value assessment subject; the product result between the first weighted result quotient data of any target risk factor and the professional level assessment value of any risk value assessment subject is obtained as the second weighted result of any target risk factor corresponding to any risk value assessment subject; after obtaining the second weighted result of each risk value assessment subject in multiple risk value assessment subjects corresponding to any target risk factor, the average value of the second weighted results of all risk value assessment subjects in the multiple risk value assessment subjects corresponding to any target risk factor is obtained as the second assessment value of any target risk factor in the target risk assessment project.

[0100] In step S706, there are multiple target risk factors; obtaining a risk assessment value for the target risk assessment project based on the second assessment value of the target risk factor includes: after obtaining the second assessment value of each target risk factor in the target risk assessment project, obtaining the sum of the second assessment values ​​of all target risk factors in the target risk assessment project as the risk assessment value for the target risk assessment project.

[0101] The aquatic biological invasion risk assessment method provided in this embodiment also includes: there are multiple target risk factors; after obtaining the second evaluation value of each target risk factor in the target risk assessment project among the multiple target risk factors, all target risk factors in the multiple target risk factors are sorted in descending order according to the second evaluation value to obtain sorted target risk factors; according to a preset high risk factor selection strategy, high risk factors for the target risk assessment project are selected from the sorted target risk factors.

[0102] The aquatic organism invasion risk assessment method provided by this embodiment also includes: obtaining a first assessment value of other aquatic organism risk factors in other risk assessment items for a specific water area, where the other risk assessment items for a specific water area are items for assessing the risk of aquatic organisms other than specific aquatic organisms invading a specific water area, and the other aquatic organism risk factors are risk factors required to assess the risk of other aquatic organisms invading a specific water area in the other risk assessment items for a specific water area; obtaining a second assessment value of the other aquatic organism risk factors in the other risk assessment items for a specific water area based on the first assessment value of the other aquatic organism risk factors in the other risk assessment items for a specific water area; obtaining a risk assessment value for the other risk assessment items for a specific water area based on the second assessment value of the other aquatic organism risk factors in the other risk assessment items for a specific water area; sorting the other risk assessment items for a specific water area and the target risk assessment items in order of risk assessment value from high to low to obtain sorted risk assessment items for a specific water area; selecting high-risk items for a specific water area from the sorted risk assessment items for a specific water area according to a preset high-risk item selection strategy; and marking the aquatic organisms corresponding to the high-risk items for a specific water area as high-risk invasive organisms for a specific water area.

[0103] The aquatic organism invasion risk assessment method provided by this embodiment also includes: obtaining a first assessment value of the target risk factor in other waters risk assessment items, where the other waters risk assessment items are items that assess the risk of specific aquatic organisms invading other waters; obtaining a second assessment value of the target risk factor in other waters risk assessment items based on the first assessment value of the target risk factor in other waters risk assessment items; obtaining a risk assessment value for the other waters risk assessment items based on the second assessment value of the target risk factor in other waters risk assessment items; sorting other risk assessment items and target risk assessment items in other waters in order of risk assessment values ​​from high to low to obtain sorted risk assessment items for specific aquatic organisms; selecting high-risk items for specific aquatic organisms from the sorted risk assessment items for specific aquatic organisms according to a preset high-risk item selection strategy; marking the waters corresponding to the high-risk items for specific aquatic organisms as high-risk waters for invasion of the specific aquatic organisms.

[0104] Eighth embodiment

[0105] In the seventh embodiment described above, a method for assessing the risk of an aquatic organism invasion is provided. Accordingly, the eighth embodiment of the present application provides an apparatus for assessing the risk of an aquatic organism invasion. Since the apparatus embodiment is substantially similar to the seventh embodiment of the method, its description is relatively brief. For relevant details, please refer to the description of the method embodiment. The apparatus embodiment described below is merely illustrative.

[0106] The aquatic organism invasion risk assessment device provided in this embodiment includes: a first obtaining unit, which is used to obtain a first importance evaluation value of an initial risk factor, where the initial risk factor is an initial risk factor related to a specific risk assessment scenario, and the specific risk assessment scenario is a scenario for assessing the risk of a specific aquatic organism invading a water area. The first importance evaluation value is an evaluation value output by the importance assessment subject for the importance of the initial risk factor in the specific risk assessment scenario; a second obtaining unit, which is used to obtain a second importance evaluation value of the initial risk factor based on the first importance evaluation value; a first selection unit, which is used to select a target risk factor related to the specific risk assessment scenario from the initial risk factor based on the second importance evaluation value, and the second importance evaluation value is an evaluation value output by the importance assessment subject for the initial risk factor. The evaluation value outputted by the importance of the risk factor in a specific risk assessment scenario, the target risk factor is the risk factor required to assess the risk of specific aquatic organisms invading waters in the specific risk assessment scenario; the third obtaining unit is used to obtain the first evaluation value of the risk value assessment subject for the target risk factor in the target risk assessment project, as the first evaluation value of the target risk factor, and the target risk assessment project is a project that assesses the risk of specific aquatic organisms invading specific waters; the fourth obtaining unit is used to obtain the second evaluation value of the target risk factor in the target risk assessment project based on the first evaluation value of the target risk factor, as the second evaluation value of the target risk factor; the fifth obtaining unit is used to obtain the risk assessment value for the target risk assessment project based on the second evaluation value of the target risk factor.

[0107] Ninth embodiment

[0108] In the seventh embodiment, a method for assessing the risk of aquatic biological invasion is provided. Correspondingly, the ninth embodiment of the present application provides an electronic device. The electronic device embodiment described below is merely illustrative.

[0109] The electronic device provided in this embodiment includes: a processor and a memory; the memory is used to store computer programs, and the processor calls the computer program stored in the memory to execute the above-mentioned aquatic organism invasion risk assessment method.

[0110] Tenth embodiment

[0111] In the seventh embodiment above, a method for assessing the risk of aquatic biological invasion is provided. Correspondingly, the tenth embodiment of the present application provides a storage device. The storage device embodiment described below is merely illustrative.

[0112] The storage device provided in this embodiment stores a computer program, and the computer program is run by a processor to execute the above-mentioned aquatic organism invasion risk assessment method.

[0113] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, apparatus, or computer program products. Thus, embodiments of the present invention may take the form of a fully hardware embodiment, a fully software embodiment, or an embodiment combining software and hardware. Furthermore, embodiments of the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0114] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they are aware of the basic creative concepts. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0115] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or terminal device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or terminal device that includes the element.

[0116] Although the present application is disclosed as above with the preferred embodiments, it is not intended to limit the present application. Any person skilled in the art may make possible changes and modifications without departing from the spirit and scope of the present application. Therefore, the scope of protection of the present application shall be based on the scope defined by the claims of the present application.

Claims

1. A system for assessing the risk of aquatic biological invasion, characterized in that: include: Server, risk factor assessment terminal and risk value assessment terminal; The risk factor assessment terminal is configured to send an initial risk factor acquisition request message to the server, obtain the initial risk factor returned by the server, obtain a first importance assessment value of the initial risk factor, and send the first importance assessment value to the server, wherein the initial risk factor is an initial risk factor associated with a specific risk assessment scenario, the specific risk assessment scenario being a scenario for assessing the risk of invasion of waters by specific aquatic organisms, and the first importance assessment value is used to represent an assessment value output by the risk factor assessment terminal regarding the importance of the initial risk factor in the specific risk assessment scenario; The server is configured to obtain a second importance evaluation value for the initial risk factor based on the first importance evaluation value, and select a target risk factor related to the specific risk assessment scenario from the initial risk factors based on the second importance evaluation value, wherein the second importance evaluation value is used to represent an evaluation value output by the server for the importance of the initial risk factor in the specific risk assessment scenario, and the target risk factor is a risk factor required for assessing the risk of invasion of waters by specific aquatic organisms in the specific risk assessment scenario; The risk value assessment terminal is configured to send a target risk factor acquisition request message to the server for requesting to obtain the target risk factor, obtain the target risk factor returned by the server in response to the target risk factor acquisition request message, obtain a first assessment value of the target risk factor in a target risk assessment project, and send the first assessment value of the target risk factor to the server as the first assessment value of the target risk factor, where the target risk assessment project is a project for assessing the risk of the specific aquatic organism invading a specific water area; The server is further configured to obtain, based on the first evaluation value of the target risk factor, a second evaluation value of the target risk factor in the target risk assessment project as the second evaluation value of the target risk factor, and obtain a risk assessment value for the target risk assessment project based on the second evaluation value of the target risk factor; The system further comprises: The management terminal is used to send a universal risk factor acquisition request message to the server, obtain the universal risk factor returned by the server, select the risk factor related to the specific risk assessment scenario from the universal risk factors returned by the server as the initial risk factor, and send the initial risk factor to the server, where the universal risk factor is a universal risk factor related to a universal risk assessment scenario, and the universal risk assessment scenario is a universal scenario for assessing the risk of biological invasion in an ecological area.

2. The aquatic organism invasion risk assessment system according to claim 1, characterized in that: The server is also used to: Obtaining scenario characteristic data of the specific scenario of the risk assessment; Inputting the initial risk factor and the scenario characteristic data of the risk assessment specific scenario into a target risk factor screening model to obtain a target risk factor related to the risk assessment specific scenario as the model output target risk factor; The step of selecting, based on the second importance evaluation value, a target risk factor related to the specific risk assessment scenario from the initial risk factors includes: Sorting the initial risk factors according to the second importance evaluation values ​​from high to low to obtain sorted initial risk factors; From the sorted initial risk factors, the top-ranked model output target risk factor whose sum of the second importance evaluation values ​​is not lower than the sum result threshold is selected as the target risk factor related to the specific risk assessment scenario. The sum of the second importance evaluation values ​​is the sum of the second importance evaluation values ​​of the multiple top-ranked model output target risk factors. The sum result threshold is obtained based on the sum of the second importance evaluation values ​​of all initial risk factors and a preset sum result ratio.

3. The aquatic organism invasion risk assessment system according to claim 1, characterized in that: Also includes: An environmental characteristic data monitor for the specific water area, configured to send the environmental characteristic data of the specific water area to the server; The server is also used to: Obtaining a correspondence list recording correspondences between identification data of the target risk assessment item, identification data of at least one target risk factor, and identification data of an environmental characteristic data monitor for the specific water area; Obtaining, based on a correspondence between the identification data of the target risk assessment project and the identification data of the environmental characteristic data monitor for the specific water area, the environmental characteristic data of the specific water area collected by the environmental characteristic data monitor corresponding to the target risk assessment project; Establishing a correspondence between the at least one target risk factor and the collected environmental characteristic data of the specific water area according to the correspondence between the identification data of the at least one target risk factor and the identification data of the environmental characteristic data monitor for the specific water area; For any one of the at least one target risk factor, obtaining environmental characteristic data corresponding to the at least one target risk factor according to a correspondence between the at least one target risk factor and the collected environmental characteristic data of the specific water area; Obtaining a monitoring assessment value of the any one target risk factor in the target risk assessment item based on the environmental characteristic data corresponding to the any one target risk factor; The obtaining, based on the first evaluation value of the target risk factor, the second evaluation value of the target risk factor in the target risk assessment project includes: obtaining, based on the first evaluation value of any one of the target risk factors in the target risk assessment project and the monitoring evaluation value of any one of the target risk factors in the target risk assessment project, the second evaluation value of the target risk factor in the target risk assessment project.

4. The aquatic organism invasion risk assessment system according to claim 1, characterized in that: The target risk factors include an aquatic organism release intensity factor representing the predicted frequency of release of aquatic organisms into water bodies within a specific time period; The aquatic organism invasion risk assessment system further includes a geographic data server for storing geographic data; The server is also used to: Sending a coastal geographic object request message for requesting to obtain the coastal geographic object of the specific water area to the geographic data server; Obtaining a list of coastal geographical objects of the specific water area returned by the geographic data server in response to the coastal geographical object request message, wherein the list of coastal geographical objects of the specific water area records identification data of the coastal geographical objects of the specific water area, and the coastal geographical objects of the specific water area are geographical objects whose closest straight-line distance to the specific water area is within a preset distance range; For any one of the coastal geographical objects in the list of coastal geographical objects of the specific waters, obtaining geographical object feature data of the any one of the coastal geographical objects according to the identification data of the any one of the coastal geographical objects; determining, based on the geographic object characteristic data of the any one of the coastal geographic objects, whether the any one of the coastal geographic objects has a feature for aquatic organism release; If it is determined that any one of the coastal geographical objects has the aquatic organism release feature, sending a guidance route data request message to the geographical data server for requesting to obtain guidance route data from the any one of the coastal geographical objects to the specific waters; Obtaining travel convenience data from any one of the coastal geographical objects to the specific waters based on the guidance route data; Obtaining, based on the travel convenience data, an aquatic organism release risk prediction value for predicting the risk level of releasing aquatic organisms from the arbitrary coastal geographical object into the specific waters, as the aquatic organism release risk prediction value for the arbitrary coastal geographical object; After obtaining the predicted aquatic organism release risk value for each coastal geographic object in the list of coastal geographic objects of the specific waters, obtaining an assessment value for the aquatic organism release intensity factor based on the predicted aquatic organism release risk values ​​of all coastal geographic objects as a reference assessment value for the aquatic organism release intensity factor; The obtaining of the second evaluation value of the target risk factor in the target risk assessment item based on the first evaluation value of the target risk factor includes: obtaining the second evaluation value of the aquatic organism stocking intensity factor in the target risk assessment item based on the first evaluation value of the aquatic organism stocking intensity factor in the target risk assessment item and a reference evaluation value for the aquatic organism stocking intensity factor.

5. The aquatic organism invasion risk assessment system according to claim 1, characterized in that: Also includes: Geographic data server, used to store geographic data; The server is also used to: Sending a connected water area list request message for requesting to obtain a connected water area list of the specific water area to the geographic data server; Obtaining a connected water area list of the specific water area returned by the geographic data server in response to the connected water area list request message, wherein the connected water area list of the specific water area records identification data of connected water areas having intersection points with the specific water area; determining, based on the identification data of the connected water area, whether a risk assessment value for a risk assessment item for the connected water area has been obtained, wherein the risk assessment item for the connected water area is an item for assessing the risk of the specific aquatic organism invading the connected water area; If it is determined that a risk assessment value for the risk assessment item of the connected waters has been obtained, obtaining a risk assessment value for the target risk assessment item according to the second assessment value of the target risk factor includes: Obtaining an initial risk assessment value for the target risk assessment item according to the second assessment value of the target risk factor; The obtained risk assessment value for the risk assessment item of the connected waters is used as a reference risk assessment value, and the risk assessment value for the target risk assessment item is obtained according to the initial risk assessment value and the reference risk assessment value.

6. A method for assessing the risk of aquatic biological invasion, characterized in that: include: Obtaining a first importance assessment value of an initial risk factor, wherein the initial risk factor is an initial risk factor associated with a specific risk assessment scenario, wherein the specific risk assessment scenario is a scenario for assessing the risk of invasion of a water body by a specific aquatic organism, and the first importance assessment value is an assessment value output by an importance assessment subject based on the importance of the initial risk factor in the specific risk assessment scenario; Obtaining a second importance evaluation value of the initial risk factor according to the first importance evaluation value; selecting, from the initial risk factors, a target risk factor relevant to the specific risk assessment scenario based on the second importance assessment value, wherein the second importance assessment value is an assessment value output by the importance assessment subject based on the importance of the initial risk factor in the specific risk assessment scenario, and the target risk factor is a risk factor required for assessing the risk of invasion of waters by specific aquatic organisms in the specific risk assessment scenario; Obtaining a first assessment value of the target risk factor in a target risk assessment project by a risk assessment subject as the first assessment value of the target risk factor, wherein the target risk assessment project is a project for assessing the risk of the specific aquatic organism invading a specific water area; Obtaining a second evaluation value of the target risk factor in the target risk assessment item according to the first evaluation value of the target risk factor as the second evaluation value of the target risk factor; Obtaining a risk assessment value for the target risk assessment item according to the second assessment value of the target risk factor; The method also includes: obtaining a universal risk factor, selecting a risk factor related to the specific risk assessment scenario from the universal risk factors as the initial risk factor, wherein the universal risk factor is a universal risk factor related to a universal risk assessment scenario, and the universal risk assessment scenario is a universal scenario for assessing the risk of biological invasion in an ecological area.

7. A device for assessing the risk of aquatic organism invasion, characterized in that: include: a first obtaining unit, configured to obtain a first importance evaluation value of an initial risk factor, wherein the initial risk factor is an initial risk factor associated with a specific risk assessment scenario, wherein the specific risk assessment scenario is a scenario for assessing the risk of invasion of waters by specific aquatic organisms, and the first importance evaluation value is an evaluation value output by an importance evaluation subject based on the importance of the initial risk factor in the specific risk assessment scenario; a second obtaining unit, configured to obtain a second importance evaluation value of the initial risk factor according to the first importance evaluation value; a first selection unit configured to select, from the initial risk factors, a target risk factor relevant to the specific risk assessment scenario based on the second importance evaluation value, wherein the second importance evaluation value is an evaluation value output by an importance evaluation subject based on the importance of the initial risk factor in the specific risk assessment scenario, and the target risk factor is a risk factor required to assess the risk of invasion of waters by a specific aquatic organism in the specific risk assessment scenario; a third obtaining unit, configured to obtain a first evaluation value of the target risk factor in a target risk assessment project by the risk value assessment subject as the first evaluation value of the target risk factor, wherein the target risk assessment project is a project for assessing the risk of the specific aquatic organism invading a specific water area; a fourth obtaining unit, configured to obtain, according to the first evaluation value of the target risk factor, a second evaluation value of the target risk factor in the target risk assessment item as a second evaluation value of the target risk factor; a fifth obtaining unit, configured to obtain a risk assessment value for the target risk assessment item according to the second assessment value of the target risk factor; The device is also used to: obtain a universal risk factor, select a risk factor related to the specific risk assessment scenario from the universal risk factors, as the initial risk factor, the universal risk factor is a universal risk factor related to a universal risk assessment scenario, and the universal risk assessment scenario is a universal scenario for assessing the risk of biological invasion in an ecological area.

8. An electronic device, characterized in that: include: processor and memory; The memory is used to store a computer program, and the processor calls the computer program stored in the memory to execute the aquatic biological invasion risk assessment method according to claim 6.

9. A storage device, characterized in that: The storage device stores a computer program, and the computer program is run by the processor to execute the aquatic organism invasion risk assessment method according to claim 6.

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