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

Abstract

According to the aquatic organism invasion risk assessment system provided by the embodiment of the invention, the target risk factor required to be used in the specific aquatic organism invasion water area risk assessment process is obtained through assessment and calculation of the risk factor assessment terminal and the server, and the target risk factor is assessed and calculated through the risk value assessment terminal and the server; according to the aquatic organism invasion risk assessment system provided by the embodiment of the invention, the risk assessment value of the specific aquatic organism invading the specific water area is obtained, and the risk degree of the specific aquatic organism invading the specific water area can be obtained through the risk assessment value, so that the aquatic organism invasion risk assessment system can assess the risk degree of the specific aquatic organism invading the specific water area; and the risk degree of the specific aquatic organisms invading any water area except the specific water area can be evaluated, and a risk avoidance means is adopted according to the risk evaluation result.

Description

Technical Field

[0001] This application relates to the field of computer technology, and particularly to an aquatic animal invasion risk assessment system, method, device and electronic equipment. Background Art

[0002] The invasion of alien aquatic animals will disrupt the local ecological balance, may lead to the reduction or even extinction of local species, may also change the local aquatic animal food chain, and affect the nutrient cycle of the local water ecosystem. At the same time, the invasion of alien aquatic animals may also cause economic losses to the local aquaculture, fishery, agriculture and tourism industries, and may even spread parasites and diseases in severe cases. In order to avoid as much as possible a series of problems caused by the invasion of alien aquatic animals, a feasible method is to evaluate the risk of aquatic organisms invading waters and take risk avoidance measures according to the risk assessment results. Therefore, in order to avoid as much as possible a series of problems caused by the invasion of alien aquatic animals, how to evaluate the risk of aquatic organisms invading waters is the first problem to be solved. Summary of the Invention

[0003] Embodiments of this application provide an aquatic animal invasion risk assessment system to evaluate 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 configured to send an initial risk factor acquisition request message to the server, obtain the initial risk factors returned by the server, obtain a first evaluation value of the importance of the initial risk factors, and send the first evaluation value of the importance to the server. The initial risk factors are initial risk factors 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 evaluation value of the importance is used to represent the evaluation value output by the risk factor assessment terminal for the importance of the initial risk factors in the specific risk assessment scenario; the server is configured to obtain a second evaluation value of the importance of the initial risk factors according to the first evaluation value of the importance, and select target risk factors related to the specific risk assessment scenario from the initial risk factors according to the second evaluation value of the importance. The second evaluation value of the importance is used to represent the evaluation value output by the server for the importance of the initial risk factors in the specific risk assessment scenario. The target risk factors are risk factors required for assessing the risk of a specific aquatic organism invading a water area in the specific risk assessment scenario; the risk value assessment terminal is configured to send a target risk factor acquisition request message for requesting to obtain the target risk factors to the server, obtain the target risk factors returned by the server for the target risk factor acquisition request message, obtain a first evaluation value of the target risk factors in the target risk assessment project as the first evaluation value of the target risk factors, and send the first evaluation value of the target risk factors to the server. The target risk assessment project is a project for assessing the risk of a specific aquatic organism invading a specific water area; the server is further configured to obtain a second evaluation value of the target risk factors in the target risk assessment project according to the first evaluation value of the target risk factors as the second evaluation value of the target risk factors, and obtain a risk assessment value for the target risk assessment project according to the second evaluation value of the target risk factors.

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

[0006] In the aquatic biological invasion risk assessment system provided by the embodiments of the present application, the target risk factors required in the risk assessment process of a specific aquatic organism invading a water area are obtained through the assessment and calculation of the risk factor assessment terminal and the server. Through the assessment and calculation of the target risk factors by the risk value assessment terminal and the server, the risk assessment value of a specific aquatic organism invading a specific water area is obtained. From the risk assessment value, the risk level of a specific aquatic organism invading a specific water area can be known. Therefore, the aquatic biological invasion risk assessment system provided by the embodiments of the present application can assess the risk level of a specific aquatic invasion of a specific water area. Similarly, it can also assess the risk level of a specific aquatic organism invading any other water area except the specific water area, and take risk avoidance measures according to the risk assessment results. In addition, by obtaining in advance the target risk factors required in the risk assessment process of a specific aquatic organism invading a water area through the risk factor assessment terminal, it is possible to avoid interference with the risk assessment process caused by risk factors unrelated to the risk assessment process of a specific aquatic organism invading a water area. At the same time, since the number of target risk factors is much less than the number of initial risk factors, the workload in the risk assessment process is reduced, and the assessment efficiency of the target risk assessment project is improved. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0008] Figure 1 Schematic diagram of the aquatic biological invasion risk assessment system provided by the first embodiment of the present application;

[0009] Figure 2a Schematic diagram of the first risk factor selection interface provided by the first embodiment of the present application;

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

[0011] Figure 3 Schematic diagram of the general interface for scenario creation provided by the first embodiment of the present application;

[0012] Figure 4 Schematic diagram of the general interface for scenario display provided by the first embodiment of the present application;

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

[0014] Figure 5bSchematic diagram of the second risk factor importance evaluation interface provided by the first embodiment of the present application;

[0015] Figure 5c Schematic diagram of the third risk factor importance evaluation interface provided by the first embodiment of the present application;

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

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

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

[0019] Figure 7 Schematic diagram of the aquatic biological invasion risk assessment system provided by the fourth embodiment of the present application;

[0020] Figure 8 Schematic diagram of the installation location of the video monitor and the sampling location of the environmental sample;

[0021] Figure 9 Schematic diagram of the aquatic biological invasion risk assessment system provided by the fifth embodiment of the present application;

[0022] Figure 10 Schematic diagram of the aquatic biological invasion risk assessment method provided by the seventh embodiment of the present application. Detailed implementation manners

[0023] In the following description, many specific details are set forth in order to provide a thorough understanding of the embodiments of the present application. However, the embodiments of the present application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the connotation of the embodiments of the present application. Therefore, the embodiments of the present application are not limited by 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 will be clearly and completely described below with reference to the accompanying drawings, and taking the risk assessment process of the invasion of Oreochromis niloticus into the first water area as an example, the embodiments of the present application will be further described.

[0025] First embodiment

[0026] The first embodiment of the present application provides an aquatic biological invasion risk assessment system. Refer to Figure 1, in this embodiment, the aquatic biological invasion risk assessment system includes a server 102, a risk factor assessment terminal 103, and a risk value assessment terminal 104; the risk factor assessment terminal 103 is configured to send an initial risk factor acquisition request message to the server 102, obtain the initial risk factors returned by the server 102, obtain the first evaluation value of the importance of the initial risk factors, and send the first evaluation value of the importance to the server 102. The initial risk factors are the initial risk factors 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 evaluation value of the importance is used to represent the evaluation value output by the risk factor assessment terminal for the importance of the initial risk factors in the specific risk assessment scenario; the server 102 is configured to obtain the second evaluation value of the importance of the initial risk factors according to the first evaluation value of the importance, and select the target risk factors related to the specific risk assessment scenario from the initial risk factors according to the second evaluation value of the importance. The second evaluation value of the importance is used to represent the evaluation value output by the server 102 for the importance of the initial risk factors in the specific risk assessment scenario. The target risk factors are the risk factors required to assess the risk of a specific aquatic organism invading a water area in the specific risk assessment scenario; the risk value assessment terminal 104 is configured to send a target risk factor acquisition request message for requesting to obtain the target risk factors to the server, obtain the target risk factors returned by the server 102 for the target risk factor acquisition request message, obtain the first evaluation value of the target risk factors in the target risk assessment project as the first evaluation value of the target risk factors, and send the first evaluation value of the target risk factors to the server. The target risk assessment project is a project for assessing the risk of a specific aquatic organism invading a specific water area; the server 102 is further configured to obtain the second evaluation value of the target risk factors in the target risk assessment project according to the first evaluation value of the target risk factors as the second evaluation value of the target risk factors, and obtain the risk assessment value for the target risk assessment project according to the second evaluation value of the target risk factors. In this embodiment, the server 102, the risk factor assessment terminal 103, and the risk value assessment terminal 104 can each be one or more. Among them, the risk factor assessment terminal 103 and the risk value assessment terminal 104 can be the same terminal, that is, one of the risk factor assessment terminal 103 and the risk value assessment terminal 104 can be retained. The retained assessment terminal performs all the operations of the risk factor assessment terminal 103 and all the operations of the risk value assessment terminal 104. The number of initial risk factors can be multiple.

[0027] The aquatic biological invasion risk assessment system provided in this embodiment further includes: a management terminal 101, which is used to send a general risk factor acquisition request message to a server 102, obtain the general risk factors returned by the server 102, select the risk factors related to the specific scenario of risk assessment from the general risk factors returned by the server 102 as initial risk factors, and send the initial risk factors to the server 102. Among them, the general risk factors are the general risk factors related to the general scenario of risk assessment, and the general scenario of risk assessment refers to the scenario of assessing the risk of aquatic biological invasion into waters. The initial risk factors are the initial risk factors related to the specific scenario of risk assessment, and the specific scenario of risk assessment refers to the scenario of assessing the risk of a specific aquatic biological invasion into waters. Among them, the specific aquatic biological refers to a certain specific aquatic organism, such as Nile tilapia. Aquatic organisms refer to all aquatic organisms including the specific aquatic organism. Waters refer to waters in a broad sense, including any one or section of a river, any lake, etc., and do not specifically refer to a certain specific water area. The general risk factors refer to all general risk factors related to the scenario of assessing the risk of aquatic biological invasion into waters. In the aquatic biological invasion risk assessment system provided in this embodiment, there is also a risk factor database for storing general risk factors. The server 102 is further used to: after obtaining the general risk factor acquisition request message sent by the management terminal 101, request the risk factor database to obtain general risk factors; obtain the general risk factors returned by the risk factor database; and send the general risk factors returned by the risk factor database to the management terminal 101. The general risk factors can be stored in the risk factor database, or in the database within the server 102, or the server 102 can obtain them from the risk factor database and then store them in the database within the server 102. For example, assuming the specific aquatic organism is Nile tilapia, the initial risk factors refer to the risk factors for assessing the risk of Nile tilapia invading waters, and the specific scenario of risk assessment refers to the scenario of assessing the risk of Nile tilapia invading waters. After the server 102 obtains the general risk factor acquisition request message sent by the management terminal 101, it queries whether the server 102 database stores the general risk factors required to be obtained in the general risk factor acquisition request message. If so, it sends the general risk factors to the management terminal 101. If not, it requests the risk factor database to obtain general risk factors. After obtaining the general risk factors returned by the risk factor database, it sends the general risk factors 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 the data of the risk factor selection interface. The management terminal 101 is further configured to, when obtaining the general risk factors returned by the server 102, also obtain the data of the risk factor selection interface returned by the server 102; display the risk factor selection interface according to the data of the risk factor selection interface, and display the general risk factors in the risk factor selection interface; select the risk factors related to the specific risk assessment scenario from the general risk factors returned by the server 102, including: in response to detecting a selection operation of selecting the risk factors related to the specific risk assessment scenario from the general risk factors in the risk factor selection interface, obtaining the risk factors related to the specific risk assessment scenario selected from the general risk factors. Refer to Figure 2a , all general risk factors can be displayed on the risk factor selection interface, and the administrator can make a judgment and select the risk factors related to the specific risk assessment scenario. Refer to Figure 2b , one or more screening conditions can be displayed on the risk factor selection interface, and the filtered general risk factors are displayed. The administrator selects the risk factors related to the specific risk assessment scenario from the filtered general risk factors. For example, the administrator selects the risk factors related to the risk of Nile tilapia invading waters from the general risk factors on the risk factor selection interface. The selected risk factors are the initial risk factors related to the risk of Nile tilapia invading waters. The management terminal 101 sends the initial risk factors related to the risk of Nile tilapia invading waters to the server 102. Taking Nile tilapia as an example, the initial risk factors for assessing the risk of Nile tilapia invading waters selected by the administrator may be as shown in Table 1:

[0029]

[0030] Table 1

[0031] Among them, the climate similarity refers to the similarity degree between the existing distribution area of the species and the climate of the introduced area. Climate factors are one of the important factors determining the survival of the species, including climate factors such as temperature, light, and rainfall. The environmental stress resistance refers to the tolerance ability of the species to adversity, including the tolerance ability to climate changes such as low temperature, high temperature, and dryness or the resistance to extreme climates. The growth rate refers to the increase in the biomass of the alien species per unit time. The lag in population establishment refers to the situation that during the population establishment process, 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 period for prevention and control.

[0032] In this embodiment, when the management terminal 101 sends the initial risk factors 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 factors sent by the management terminal 101 and the specific scenario identification data of the risk assessment specific scenario, the server 102 establishes a correspondence relationship between the specific scenario identification data and the initial risk factors; the initial risk factor acquisition request message includes the specific scenario identification data of the risk assessment specific scenario; the server 102 is further configured to, after obtaining the initial risk factor acquisition request message, obtain the specific scenario identification data of the risk assessment specific scenario from the initial risk factor acquisition request message; obtain the initial risk factors according to the correspondence relationship between the specific scenario identification data of the risk assessment specific scenario and the initial risk factors; and return the initial risk factors to the risk factor assessment terminal 103 for the initial risk factor acquisition request message. Further, the management terminal 101 is further configured to generate the specific scenario description data of the risk assessment specific scenario, send the specific scenario description data of the risk assessment specific scenario to the server 102, and obtain the specific scenario identification data of the risk assessment specific scenario returned by the server 102; the server 102 is further configured to, after obtaining the specific scenario description data of the risk assessment specific scenario, generate the specific scenario identification data of the risk assessment specific scenario, and establish a correspondence relationship between the specific scenario identification data of the risk assessment specific scenario and the specific scenario description data of the risk assessment specific scenario. Specifically, in 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 for requesting to obtain the scenario creation interface data for creating a risk assessment specific scenario to the server 102, obtain the general scenario creation interface data returned by the server 102 for the scenario creation interface data acquisition request message, and display the general scenario creation interface according to the general scenario creation interface data. Generating the specific scenario description data of the risk assessment specific scenario includes: in response to detecting the data input on the general scenario creation interface, generating the specific scenario description data of the risk assessment specific scenario according to the data input on the general scenario creation interface.

[0033] For example, there is a button for creating a risk assessment specific scenario on the operation interface of the management terminal 101. When the administrator using 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 general scenario creation interface data returned by the server 102, and displays the general scenario creation interface according to the general scenario creation interface data. Refer to Figure 3, based on the specific risk assessment scenarios the administrator wants to create, the administrator can input data on the general scenario creation interface. The management terminal 101 generates specific scenario description data for the specific risk assessment scenarios according to the data input on the general scenario creation interface. For example, if the administrator inputs data such as "Tilapia zillii invades waters", "Tilapia zillii invasion", "Tilapia invades all waters", "Tilapia in rivers" on the general scenario creation interface, the specific scenario description data generated by the management terminal 101 may be "Tilapia zillii invades waters". That is, the specific scenario description data generated by the management terminal 101 for the specific risk assessment scenarios can use the data input by the administrator on the general scenario creation interface as the specific scenario description data for the specific risk assessment scenarios, or extract the keywords of the data input on the general scenario creation interface, and generate the specific scenario description data for the specific risk assessment scenarios according to the keywords and the generation rules of the specific scenario description data for the specific risk assessment scenarios. It can also obtain the specific scenario description data for the specific risk assessment scenarios that have been stored in the database of the server 102 according to the keywords. The management terminal 101 sends the specific scenario description data for the specific risk assessment scenarios, such as "Tilapia zillii invades waters", to the server 102. After obtaining the specific scenario description data for the specific risk assessment scenarios, the server 102 generates specific scenario identification data for the specific risk assessment scenarios, such as "LFY001", and establishes the correspondence between "Tilapia zillii invades waters" and "LFY001". The server 102 returns the specific scenario identification data for the specific risk assessment scenarios, such as "LFY001", to the management terminal 101. In addition, the specific scenario identification data for the specific risk assessment scenarios can also be directly generated by the management terminal 101. For example, the administrator can set the data or the management terminal 101 can generate random data that conforms to the set rules as the specific scenario identification data for the specific risk assessment scenarios. When the management terminal 101 sends the initial risk factors related to assessing the risk of Tilapia zillii invading waters to the server 102, it also sends the specific scenario identification data "LFY001" of Tilapia zillii invading waters. After receiving the initial risk factors related to assessing the risk of Tilapia zillii invading waters and the specific scenario identification data "LFY001" of Tilapia zillii invading waters, the server 102 establishes the correspondence between the initial risk factors 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 evaluation terminal 103, if the server 102 has stored the correspondence between the initial risk factor and the specific scenario identification data "LFY001" of the water area invaded by Nile tilapia, and the initial risk factor acquisition request message includes the specific scenario identification data "LFY001" of the water area invaded by Nile tilapia, then after the server 102 obtains the initial risk factor acquisition request message, it obtains the specific scenario identification data "LFY001" of the water area invaded by Nile tilapia from the initial risk factor acquisition request message. The server 102 obtains the initial risk factor according to the correspondence between the specific scenario identification data "LFY001" of the water area invaded by Nile tilapia and the initial risk factor, and returns the initial risk factor to the risk factor evaluation terminal 103. Because the server 102 stores the correspondence between the specific scenario identification data and the initial risk factor, after the server 102 receives the initial risk factor acquisition request message sent by the risk factor evaluation terminal 103, it can directly obtain the initial risk factor stored in the server 102 corresponding to the specific scenario identification data according to the specific scenario identification data in the initial risk factor acquisition request message, without the administrator having to select the risk factor related to the specific scenario of the risk assessment from the general risk factors on the risk factor selection interface again, reducing the workload of the administrator and improving the efficiency of obtaining the initial risk factor.

[0034] In this embodiment, the initial risk factor acquisition request message includes the specific scenario identification data of the specific scenario of the risk assessment; the risk factor evaluation 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 for requesting to obtain the scenario description data of the created risk assessment scenario to the server 102, 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; according to the scenario display interface data, display the scenario display interface, and display the scenario description data in the scenario display interface; in response to detecting a selection operation of selecting the specific scenario description data of the specific scenario of the risk assessment in the scenario display interface, obtain the specific scenario identification data of the specific scenario of the risk assessment from the scenario identification data of the created risk assessment scenario returned by the server 102. For example, there is a display button on the interface of the risk factor evaluation terminal 103 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, and the scenario identification data, scenario description data, and scenario display interface data of the created risk assessment scenario returned by the server 102 are obtained. Refer to Figure 4, the risk factor assessment terminal 103 displays the scenario display interface according to the scenario display interface data, and displays the scenario description data in the scenario display interface. When the selection button of 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 scenarios 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 the risk factor assessment terminal 103 evaluates the obtained initial risk factor to obtain the first evaluation value of the importance of the initial risk factor.

[0035] Further, the initial risk factor acquisition request message includes the request information for requesting to obtain the risk factor importance evaluation interface data; the risk factor assessment terminal 103 is further configured to: when obtaining the initial risk factor returned by the server 102, obtain the risk factor importance evaluation interface data; display the risk factor importance evaluation interface according to the risk factor importance evaluation interface data, and display the initial risk factor in the risk factor importance evaluation interface; obtaining the first evaluation value of the importance of the initial risk factor includes: in response to detecting the evaluation value input by the importance evaluation subject for the importance of the initial risk factor in the factor importance evaluation interface, obtaining the importance evaluation value of the importance evaluation subject for the initial risk factor as the first evaluation value of the importance of the initial risk factor. Among them, the importance evaluation subject can be a professional evaluator who can evaluate the risk of aquatic biological invasion into waters, or an expert in the field related to aquatic biological invasion, and the number of importance evaluation subjects is multiple. Refer to Figure 5a, the initial risk factors are displayed in the risk factor importance assessment interface. The evaluation value input by the importance assessment subject for the importance of the initial risk factors is used as the first evaluation value of the importance of the initial risk factors. Further, in the risk factor importance assessment interface, there is also a display for an input item of the evaluation value of the professional level of the importance assessment subject for a specific risk assessment scenario or the initial risk factors; the risk factor evaluation terminal 103 is further configured to: in response to detecting the evaluation value of the professional level input in the input item of the evaluation value of the professional level in the risk factor importance assessment interface, obtain the evaluation value of the professional level of the importance assessment subject for a specific risk assessment scenario or the initial risk factors as the evaluation value of the professional level of the importance assessment subject; when sending the first evaluation value of the importance to the server 102, also send the evaluation value of the professional level of the importance assessment subject to the server 102; obtain the second evaluation value of the importance of the initial risk factors according to the first evaluation value of the importance, including: obtaining the second evaluation value of the importance of the initial risk factors according to the first evaluation value of the importance and the evaluation value of the professional level of the importance assessment subject. Refer to Figure 5b and Figure 5c , in the risk factor importance assessment interface, the evaluation value of the professional level of the importance assessment subject for a specific risk assessment scenario or the initial risk factors can be input. The evaluation value of the professional level of the importance assessment subject for a specific risk assessment scenario or the initial risk factors can be obtained through self-evaluation by the importance assessment subject of their own professional level in evaluating a specific risk assessment scenario or the initial risk factors, or can be obtained through a model for obtaining the evaluation value of the professional level. For example, the data of the aquatic biological risk assessment projects done by the importance assessment subject is input into the model for obtaining the evaluation value of the professional level to obtain the evaluation value of the professional level of the importance assessment subject for a specific risk assessment scenario or the initial risk factors. Taking the initial risk factors for evaluating the risk of Oreochromis niloticus invading waters in Table 1 above as an example, refer to Figure 5a , each importance assessment subject evaluates the importance of any one of the initial risk factors in Table 1 to obtain the evaluation value of the importance of any one of the initial risk factors. Taking Table 2 as an example, the evaluation value of the importance of any one of the initial risk factors, such as the bio-hacker risk, can be divided into 6 levels. After each importance assessment subject evaluates the importance of any one of the initial risk factors, the value corresponding to the importance is the evaluation value of the importance of any one of the initial risk factors. Taking Table 3 as an example, the evaluation value of the professional level (Professional level) of the importance assessment subject can be divided into 6 levels. Refer to Figure 5b and 5c, when each importance evaluation subject evaluates the importance of any initial risk factor, it obtains the professional level evaluation value (Professional level) of the importance evaluation subject for the specific scenario of risk assessment, or obtains the professional level evaluation value (Professional level) of the importance evaluation subject for any initial risk factor.

[0036] In specific implementation, 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 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 of the product results for any initial risk factor; obtaining the sum data of the professional level evaluation values of multiple importance evaluation subjects for the specific risk assessment scenario as the first sum data of the professional level, or obtaining the sum data of the professional level evaluation values of multiple importance evaluation subjects for any initial risk factor as the second sum data of the professional level; obtaining the quotient data between the sum data of the product results for any initial risk factor and the first sum data of the professional level as the second importance evaluation value of any initial risk factor, or obtaining the quotient data between the sum data of the product results for any initial risk factor and the second sum data of the professional level as the second importance evaluation value of any initial risk factor. It should be noted that the second importance evaluation 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 evaluation entity conducts the evaluation, the importance evaluation value of the initial risk factor of intentional intrusion history is 5, and the professional level evaluation value is 15. Then, the product data corresponding to the first importance evaluation entity for the initial risk factor of intentional intrusion history is (5 × 15). After the second importance evaluation entity conducts the evaluation, the importance evaluation value of the initial risk factor of intentional intrusion history is 4, and the professional level evaluation value is 10. Then, the product data corresponding to the second importance evaluation entity for the initial risk factor of intentional intrusion history is (4 × 10). After the third importance evaluation entity conducts the evaluation, the importance evaluation value of the initial risk factor of intentional intrusion history is 1, and the professional level evaluation value is 1. Then, the product data corresponding to the first importance evaluation entity for the initial risk factor of intentional intrusion history is (1 × 1). Then, the product result and data for the initial risk factor of intentional intrusion history are: (5 × 15) + (4 × 10) + (1 × 1). By analogy, for any importance evaluation entity, when evaluating the initial risk factors in Table 1, the product results corresponding to multiple importance evaluation entities for any one initial risk factor can be expressed as (Bio Hacker Risk(0 - 5) × Professional level(1 - 15))i, where i represents any one of the initial risk factors in Table 1 above. Then, the sum data of the product results for any one initial risk factor can be expressed as Σ(Bio Hacker Risk(0 - 5) × Professional level(1 - 15))i, and the sum data of the professional level evaluation values of multiple importance evaluation entities for any one initial risk factor can be expressed as ΣProfessional level(1 - 15)i, that is, the second sum data of the professional level can be expressed as ΣProfessional level(1 - 15)i. When any importance evaluation entity conducts an evaluation on the initial risk factors for evaluating the risk of Nile tilapia invading waters in Table 1, it can also self-evaluate the professional level of the risk of Nile tilapia invading waters and obtain the professional level evaluation value of the importance evaluation entity for the risk of Nile tilapia invading waters. For example, the professional level evaluation value of the first importance evaluation entity for the risk of Nile tilapia invading waters is 10, the professional level evaluation value of the second importance evaluation entity for the risk of Nile tilapia invading waters is 15, and the professional level evaluation value of the third importance evaluation entity for the risk of Nile tilapia invading waters is 5. By analogy, the sum data of the professional level evaluation values of multiple importance evaluation entities can be expressed as ΣProfessional level(1 - 15)j, where j represents any one importance evaluation individual, that is, the first sum data of the professional level is ΣProfessional level(1 - 15)j. Therefore,

[0037] or,

[0038] Importance Importance Evaluation Value (Bio Hacker Risk) Extremely Important 5 Very Important 4 Important 3 Less Important 1 Unimportant 0 Uncertain 2

[0039] Table 2

[0040] Professional Level of the Importance Evaluation Subject Professional Level Evaluation Value (Professional level) Senior Scholar in Sub - field 15 Field Expert 10 Generally Familiar 5 Basically Understand 3 Less Understand 1 Uncertain Grasp Degree 6

[0041] Table 3

[0042] Furthermore, according to the second evaluation value of importance, a target risk factor related to a specific scenario of risk assessment is 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 the target risk factor, the sum result of the second evaluation value of importance being the sum result of the second evaluation values of importance of the multiple initial risk factors with a higher ranking, and the sum result threshold being obtained based on the sum result of the second evaluation values of importance of all the 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 of the risk of Tilapia invading waters, the initial risk factors are sorted in order from high to low according to the importance second evaluation value, and the sorted multiple importance second evaluation values are added from front to back until the sum result of the obtained importance second evaluation value is not less than the sum result threshold, such as the sum result threshold is set to 95%, and the multiple initial risk factors corresponding to the selected importance second evaluation value are used as target risk factors, and 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, so that when evaluating the project of the risk of Tilapia invading specific waters or the project of assessing the risk of Tilapia invading other waters other than specific waters, the target risk factors in the Tilapia invasion risk assessment data can be directly obtained from the server 102, which reduces the workload in the risk assessment process and improves 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 evaluation 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 certain section of a specific river, a certain 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 evaluation subject. Sending a target risk factor acquisition request message for requesting to obtain the target risk factor to the server 102, including: 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 includes a target project interface data acquisition request message for requesting to obtain the interface data of the target risk assessment project; the risk value evaluation terminal 104 is further configured 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; according to 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 the first evaluation value of the target risk factor in the target risk assessment project, including: in response to detecting the evaluation value input by the risk value evaluation subject for the target risk factor in the target risk assessment project interface, obtaining the evaluation value of the risk value evaluation subject for the target risk factor in the target risk assessment project, as 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. The risk value evaluation subject can be a professional evaluator who can evaluate the risk of specific aquatic organisms invading a specific water area, or an expert in the field related to aquatic organism invasion. The number of risk value evaluation subjects is multiple. The personnel constituting the risk value evaluation subject and the members constituting the importance evaluation subject can be exactly the same, completely different, or partially the same. Refer to Figure 6a , the risk value evaluation terminal 104 displays the target risk assessment project interface. The target risk assessment project is the risk assessment project for the invasion of Oreochromis niloticus into the first water area. The target risk factors are shown in Table 4. The risk value evaluation terminal displays the risk assessment project interface for the invasion of Oreochromis niloticus into the first water area, and displays the target risk factors in Table 4 in the target risk project assessment interface. The risk value evaluation subject inputs the evaluation value of the target risk factor in the risk assessment project for the invasion of Oreochromis niloticus into the first water area in the target risk project assessment interface, as the first evaluation value of the target risk factor in the risk assessment project for the invasion of Oreochromis niloticus into the first water area. The risk value evaluation subject can determine the first evaluation value of the target risk factor in the risk assessment project for the invasion of Oreochromis niloticus into the first water area according to Table 2 based on different importance levels.

[0046] In specific implementation, the management terminal 101 is further configured to generate target project description data for the target risk assessment project and send the target project description data for the target risk assessment project to the server 102; the server 102 is further configured to establish a correspondence relationship between the specific scenario identification data of the risk assessment specific scenario and the target risk factors, generate target project identification data for the target risk assessment project after obtaining the target project description data for the target risk assessment project, establish a correspondence relationship between the target project identification data and the target project description data for the target risk assessment project, and establish a correspondence relationship between the target project identification data and the specific scenario identification data; the target risk factor acquisition request message further includes the target project identification data; the server 102 is further configured to obtain the target project identification data from the target risk factor acquisition request message, and obtain the target risk factor according to the correspondence relationship between the target project identification data and the specific scenario identification data and the correspondence relationship between the specific scenario identification data and the target risk factor; and return the target risk factor to the risk value assessment terminal for the target risk factor acquisition request message.

[0047] Further, a professional level evaluation value input item for inputting the professional level evaluation value of the risk value evaluation subject for the target risk assessment project or the target risk factor is also displayed on the target risk assessment project interface; the risk value evaluation terminal 104 is further configured to obtain the professional level evaluation value of the risk value evaluation subject for the target risk assessment project or the target risk factor as the professional level evaluation value of the risk value evaluation subject in response to detecting the professional level evaluation value input in the professional level evaluation value input item on the target risk assessment project interface; when sending the first evaluation value of the target risk factor to the server 102, the professional level evaluation value of the risk value evaluation subject is also sent to the server 102; the server 102 is further configured to obtain the second evaluation value of the importance of the target risk factor from the second evaluation value of the importance of the initial risk factor; obtaining the 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 includes: obtaining the 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, 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 number of target risk factors is multiple. The risk value evaluation subject can determine the professional level evaluation value of the risk value evaluation subject for the risk assessment project of the invasion of Oreochromis niloticus into the first water area or the professional level evaluation value of the target risk factor in the risk assessment project of the invasion of Oreochromis niloticus into the first water area according to Table 3. The risk value evaluation subject can be a professional evaluator who can evaluate the risk of a specific aquatic organism invading a specific water area, or an expert in a field related to the invasion of a specific aquatic organism. The number of risk value evaluation subjects is multiple. The professional level evaluation value of the risk value evaluation subject for the target risk assessment project or the target risk factor can be obtained by the risk value evaluation subject's self-evaluation of their own professional level for the target risk assessment project or the target risk factor, or obtained through a professional level evaluation value acquisition model. For example, inputting the data of the target risk assessment projects done by the risk value evaluation subject or the relevant data of the target risk factor evaluated into the professional level evaluation value acquisition model to obtain the professional level evaluation value of the risk value evaluation subject for the target risk assessment project or the target risk factor. Refer to Figure 6b and 6c, in the target risk assessment project interface, the professional level evaluation value of the risk value assessment subject for the professional level evaluation value of the target risk assessment project or the target risk factor can be input. In the above example, when selecting the target risk factor related to the water area invaded by Nile tilapia, the second evaluation value of the importance of the initial risk factor of the intentional invasion history is calculated, and according to the second evaluation value of the importance, when selecting the target risk factor related to the water area invaded by Nile tilapia from the initial risk factors, the selected initial risk factor is used as the target risk factor. Then, the second evaluation value of the importance of the initial risk factor is the corresponding second evaluation value of the importance of the target risk factor. For example, the second evaluation value of the importance of the initial risk factor of the intentional invasion history is the second evaluation value of the importance of the intentional invasion history of target risk factor 1.

[0048] In 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 evaluation value of the professional level of the risk value evaluation subject, the second evaluation 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 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 assessment project as the first weighted result of any target risk factor corresponding to any risk value evaluation subject; obtaining the quotient data between the first weighted result of any target risk factor and the upper limit value of the evaluation of any target risk factor in the target risk assessment project as the quotient data of the first weighted result of any target risk factor corresponding to any risk value evaluation subject; obtaining the product result between the quotient data of the first weighted result of any target risk factor and the evaluation value of the professional level of any risk value evaluation subject as the second weighted result of any target risk factor corresponding to any risk value evaluation subject; after obtaining the second weighted result of each risk value evaluation subject among multiple risk value evaluation subjects corresponding to any target risk factor, obtaining the average value of the second weighted results of all risk value evaluation subjects corresponding to any target risk factor among multiple risk value evaluation subjects as the second evaluation value of any target risk factor in the target risk assessment project. For example, in the risk assessment project of the invasion of Oreochromis niloticus into the first water area, any target risk factor refers to any one of the target risk factors in Table 4. When any one target risk factor is selected, during the calculation of the second evaluation value of any target risk factor in the risk assessment project of the invasion of Oreochromis niloticus into the first water area, any target risk factor involved specifically refers to the selected target risk factor. For example, if the selected target risk factor is the historical record of intentional invasion, the process of calculating the second evaluation value of the historical record of intentional invasion in the risk assessment project of the invasion of Oreochromis niloticus into the first water area is as follows: First, obtain the second evaluation value of the importance of the target risk factor of the historical record of intentional invasion and the first evaluation value of the first risk value evaluation subject for the target risk factor of the historical record of intentional invasion. The product result of the two is the first weighted result of the target risk factor of the historical record of intentional invasion corresponding to the first risk value evaluation subject. Among them, the second evaluation value of the importance of the target risk of intentional invasion is equal to the second evaluation value of the importance of the initial risk factor of intentional invasion. The first evaluation value of the first risk value evaluation subject for the target risk factor of the historical record of intentional invasion refers to the evaluation value of the target risk factor of the historical record of intentional invasion entered by the first risk value evaluation subject in the target wind project evaluation interface in the risk assessment project of the invasion of Oreochromis niloticus into the first water area.For example, the first risk value assessment entity determines the first assessment value of the target risk factor's intentional invasion history based on Table 2. Then, the first assessment value of the target risk factor's intentional invasion history is an integer or a decimal between 0 and 5, and the upper limit value of the assessment of the target risk factor's intentional invasion history in the project of the Nile tilapia invading the first water area is 5. Secondly, obtain the quotient data between the first weighted result of the target risk factor's intentional invasion history and the upper limit value of the assessment of the target risk factor's intentional invasion history in the project of the Nile tilapia invading the first water area, as the first weighted result quotient data of the target risk factor's intentional invasion history corresponding to the first risk value assessment entity. In the above example, the first weighted result quotient data of the target risk factor's intentional invasion history corresponding to the first risk value assessment entity is equal to the first weighted result of the target risk factor's intentional invasion history divided by 5. Thirdly, obtain the product result between the first weighted result quotient data of the target risk factor's intentional invasion history and the professional level assessment value of the first risk value assessment entity, as the second weighted result of the target risk factor's intentional invasion history corresponding to the first risk value assessment entity. For example, the first risk value assessment entity determines the professional level assessment value of the target risk factor's intentional invasion history based on Table 3. Then, the professional level assessment value of the target risk factor's intentional invasion history is one of 15, 10, 5, 3, 1, 6. Thirdly, obtain the second weighted result of each risk value assessment entity of the target risk factor's intentional invasion history corresponding to multiple risk value assessment entities. According to the above steps, risk value assessment entities such as the second risk value assessment entity and the third risk value assessment entity all assess the target risk factor's intentional invasion history, and obtain the second weighted result of the target risk factor's intentional invasion history corresponding to each risk value assessment entity. Thirdly, obtain the average value of the second weighted results of all risk value assessment entities of the target risk factor's intentional invasion history corresponding to multiple risk value assessment entities, as the second assessment value of the target risk factor's intentional invasion history in the risk assessment project of the Nile tilapia invading the first water area. According to the above steps, obtain the second weighted results of all risk value assessment entities for the target risk factor's intentional invasion history and calculate the average value. The obtained result is the second assessment value of the target risk factor's intentional invasion history in the risk assessment project of the Nile tilapia invading the first water area.

[0049] In this embodiment, the number of target risk factors is multiple; obtaining a risk assessment value for a target risk assessment item according to the second evaluation value of the target risk factor includes: after obtaining the second evaluation value of each target risk factor among the multiple target risk factors in the target risk assessment item, obtaining the sum data of the second evaluation values of all target risk factors among the multiple target risk factors in the target risk assessment item as the risk assessment value for the target risk assessment item. For example, in the above example, the second evaluation value of each target risk factor in the risk assessment item of the invasion of the first water area by Oreochromis niloticus is obtained, and the second evaluation values of all target risk factors in the risk assessment item of the invasion of the first water area by Oreochromis niloticus are added together, and the resulting sum is the risk assessment value of the risk assessment item of the invasion of the first water area by Oreochromis niloticus. The risk assessment value of the risk assessment item of the invasion of the first water area by Oreochromis niloticus represents the risk level of the invasion of the first water area by Oreochromis niloticus.

[0050] In this embodiment, the server 102 is further configured to: after obtaining the second evaluation value of each target risk factor among the multiple target risk factors in the target risk assessment project, sort all the target risk factors among the multiple target risk factors in descending order of the second evaluation value to obtain the sorted target risk factors; select the high-risk factors of 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 evaluation value of each target risk factor in Table 4 in the risk assessment project of the invasion of Oreochromis niloticus into the first water area, sort all the target risk factors in Table 4 in descending order of the second evaluation value to obtain the sorted target risk factors in sequence as: aquatic biological release intensity factor, introducible species in the introduced area, natural enemies, distribution in provinces other than the introduced area, history of intentional invasion, history of unintentional invasion, climate similarity, temperature adaptability, offspring survival rate, etc. If the preset high-risk factor selection strategy is to select the top five target risk factors in the ranking, then the high-risk factors of the risk assessment project of the invasion of Oreochromis niloticus into the first water area are: aquatic biological release intensity factor, introducible species in the introduced area, natural enemies, distribution in provinces other than the introduced area, history of intentional invasion. After obtaining the high-risk factors of the risk assessment project of the invasion of Oreochromis niloticus into the first water area, corresponding preventive measures can be taken for the first water area according to the high-risk factors to prevent the invasion of Oreochromis niloticus into the first water area. For example, one of the high-risk factors of the invasion of Oreochromis niloticus into the first water area is the aquatic biological release intensity factor, then corresponding control measures can be taken for the release activities of geographical objects near the first water area to achieve the purpose of preventing the invasion of Oreochromis niloticus into 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 checks whether there is Oreochromis niloticus in the released organisms, holding publicity activities on the related hazards of Oreochromis niloticus, and reducing the risk of self-release, etc.

[0051] In this embodiment, the risk value assessment terminal 104 is further configured to: obtain the 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 the specific water area are items for assessing the risk of other aquatic organisms invading the specific water area except for specific aquatic organisms, and the other aquatic organism risk factors are risk factors required to assess the risk of other aquatic organisms invading the specific water area in other risk assessment items for the specific water area; send the first assessment value of the other aquatic organism risk factors in other risk assessment items for the specific water area to the server 102; the server 102 is further configured to: obtain the second assessment value of the other aquatic organism risk factors in other risk assessment items for the specific water area according to the first assessment value of the other aquatic organism risk factors in other risk assessment items for the specific water area; obtain the risk assessment value for other risk assessment items for the specific water area according to the second assessment value of the other aquatic organism risk factors in other risk assessment items for the specific water area; sort the other risk assessment items for the specific water area and the target risk assessment items in descending order of the risk assessment value to obtain the sorted risk assessment items for the specific water area; select the high-risk items for the specific water area from the sorted risk assessment items for the specific water area according to a preset high-risk item selection strategy; mark the aquatic organisms corresponding to the high-risk items for the specific water area as high-risk invasive organisms for the specific water area. For example, assume that the other aquatic organisms are any one of Pomacea canaliculata, Trachemys scripta elegans, Pseudorasbora parva, Oreochromis niloticus, Pterygoplichthys pardalis, etc., and the other risk assessment items for the specific water area refer to the risk assessment item for other aquatic organisms invading the first water area, and the other aquatic organism risk factors are risk factors required to assess the risk of other aquatic organisms invading the first water area in the risk assessment item for other aquatic organisms invading the first water area. Assume that the other aquatic organism is Pomacea canaliculata. According to the above content, the risk value assessment terminal 104 obtains the first assessment value of the Pomacea canaliculata risk factors in the risk assessment item for Pomacea canaliculata invading the first water area, and the server 102 obtains the second assessment value of the Pomacea canaliculata risk factors in the risk assessment item for Pomacea canaliculata invading the first water area according to the first assessment value of the Pomacea canaliculata risk factors in the risk assessment item for Pomacea canaliculata invading the first water area sent by the risk value assessment terminal 104, and obtains the risk assessment value of the risk assessment item for Pomacea canaliculata invading the first water area according to the second assessment value of the Pomacea canaliculata risk factors in the risk assessment item for Pomacea canaliculata invading the first water area, and so on, to obtain the risk assessment value of the risk assessment item for Trachemys scripta elegans invading the first water area, the risk assessment value of the risk assessment item for Pseudorasbora parva invading the first water area, the risk assessment value of the risk assessment item for Oreochromis niloticus invading the first water area, the risk assessment value of the risk assessment item for Pterygoplichthys pardalis invading the first water area, etc., and sort all the obtained risk assessment values in descending order to obtain the sorted risk assessment items for the first water area.Suppose the risk assessment items sorted for the first water area are: the risk assessment value of the risk assessment item of the invasion of the first water area by *Tilapia zillii*, the risk assessment value of the risk assessment item of the invasion of the first water area by *Pseudorasbora parva*, the risk assessment value of the risk assessment item of the invasion of the first water area by *Oreochromis niloticus*, the risk assessment value of the risk assessment item of the invasion of the first water area by *Trachemys scripta elegans*, the risk assessment item of the invasion of the first water area by *Pomacea canaliculata*, the risk assessment item of the invasion of the first water area by *Pterygoplichthys pardalis*, etc., and suppose the preset high-risk item selection strategy is to select the top three of the risk assessment items sorted for the first water area as high-risk items. Then, *Tilapia zillii*, *Pseudorasbora parva*, and *Oreochromis niloticus* will be marked as high-risk invasive organisms for the first water area. In this way, when taking measures to prevent the invasion of aquatic organisms in the first water area, preventive measures can be mainly taken against *Tilapia zillii*, *Pseudorasbora parva*, and *Oreochromis niloticus*. By taking targeted preventive measures, greater preventive effects can be obtained at a lower cost.

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

[0053] Corresponding to the first embodiment provided in the present application, the present application further provides the following multiple embodiments. The following embodiments also provide an aquatic biological invasion risk assessment system, which is basically similar to the first embodiment provided in the present application, so the description is relatively simple. For the parts that are the same as those in the first embodiment in the following embodiments, they will not be described again. Please refer to the corresponding parts in the first embodiment.

[0054] Second Embodiment

[0055] In the aquatic biological invasion risk assessment system provided in this embodiment, the server 102 is further configured to: obtain the scenario feature data of a specific scenario for risk assessment; input the initial risk factors and the scenario feature data of the specific scenario for risk assessment into the target risk factor screening model to obtain the target risk factors related to the specific scenario for risk assessment, as the target risk factors output by the model; select the target risk factors related to the specific scenario for risk assessment from the initial risk factors according to the second evaluation value of importance, including: sorting the initial risk factors in descending order according to the second evaluation value of importance to obtain the sorted initial risk factors; selecting the target risk factors output by the model with a higher ranking whose sum of the second evaluation values of importance is not less than the sum result threshold from the sorted initial risk factors as the target risk factors related to the specific scenario for risk assessment. The sum result of the second evaluation values of importance is the sum result of the second evaluation values of importance of the target risk factors output by the model with a higher ranking, and the sum result threshold is obtained according to the total sum result of the second evaluation values of importance of all initial risk factors and the preset total result ratio.

[0056] In specific implementation, the scenario feature data of the risk assessment specific scenario may include the biological feature data of specific aquatic organisms, the general feature data of water areas, and the invasion behavior feature data, and may also include other data related to specific aquatic organisms. For example, if the specific aquatic organism is *Oreochromis niloticus*, then the scenario feature data of the risk assessment scenario for the invasion of *Oreochromis niloticus* into water areas at least includes the biological feature data of *Oreochromis niloticus*, the general feature data of water areas, and the invasion behavior feature data. The biological features of *Oreochromis niloticus* include strong environmental adaptability, rapid growth, ferocious nature, strong reproductive ability, cold tolerance, earthy smell, no natural enemies, etc. The data related to the biological features of *Oreochromis niloticus* can be input into the aquatic organism feature data selection model to obtain the biological feature data related to the invasion of *Oreochromis niloticus* into water areas as the biological feature data of *Oreochromis niloticus*. Alternatively, the administrator of the management terminal 101 can select some biological features related to the invasion of *Oreochromis niloticus* into water areas from the biological features of *Oreochromis niloticus* and use the data corresponding to the selected biological features as the biological feature data of *Oreochromis niloticus*. The general features of water areas refer to the general and common features related to water areas in a broad sense, such as river length, flow direction, basin area, river network density, runoff, and whether there is an ice period. The data corresponding to the general features is the general feature data of water areas. The invasion behavior feature data refers to the data related to the behavior features of specific aquatic organisms invading water areas. For example, the behavior features of aquatic organisms invading water areas include reproductive ability, population growth rate, presence or absence of natural enemies, natural competition pressure situation, competition and predation on native species, damage to ecosystem functions, and wide geographical distribution. According to the rules set by the code, the behavior features related to the invasion of *Oreochromis niloticus* into water areas are selected, and the data corresponding to the selected behavior features is used as the invasion behavior feature data of *Oreochromis niloticus* invading water areas. The server 102 can obtain the scenario feature data of the risk assessment specific scenario from the database of the server 102 or from other external databases.

[0057] In the first embodiment of the present application, the server 102 obtains an initial risk factor for assessing the risk of Tilapia invading waters. Then, in the present embodiment, the server 102 inputs the initial risk factor for assessing the risk of Tilapia invading waters and the scenario characteristic data of the Tilapia invading waters risk assessment scenario into the target risk factor screening model. The target risk factor screening model outputs a target risk factor related to the Tilapia invading waters risk assessment scenario, that is, the model outputs the target risk factor. In the present embodiment, the process by which the server 102 obtains the second evaluation value of the importance of the initial risk factor is the same as the process in the first embodiment. After the server 102 obtains the second evaluation value of the importance of the initial risk factor, the initial risk factor is sorted in descending order of the second evaluation value of the importance to obtain the sorted initial risk factor. The specific sorting process is the same as in the first embodiment of the present application. In this embodiment, the model output target risk factors are sorted according to the second evaluation model of the importance of the model output target risk factors, and the sum result of the second evaluation value of the importance is the sum result of the second evaluation value of the importance of multiple model output target risk factors with a higher ranking. The sum result threshold is obtained based on the sum result of the second evaluation value of the importance of all initial risk factors and a preset sum result ratio. For example, if the sum result threshold is 95%, then the model output target risk factors with a higher ranking whose sum result of the second evaluation value of the importance is not lower than the sum result threshold refer to the model output target risk factors with a higher ranking whose sum obtained by adding the second evaluation values of the importance of multiple model output target risk factors with a higher ranking is not lower than 95%. For example, the top-ranked model output target risk factors whose sum of the second evaluation value of importance is not less than the sum of the result threshold are: climate similarity, temperature adaptability, intentional invasion history, unintentional invasion history, distribution in provinces other than the introduction site, offspring survival rate, environmental stress resistance, natural enemies, water flowability, and suitable range. The initial risk factors after sorting are: intentional invasion history, climate similarity, temperature adaptability, unintentional invasion history, distribution in provinces other than the introduction site, natural enemies, portability of species in the introduction site, aquatic biological stocking intensity factor, aquatic biological stocking intensity factor, climate similarity, temperature adaptability, age of sexual maturity, and offspring survival rate. Then, from the sorted initial risk factors, the top-ranked model output target risk factors whose sum of the second evaluation value of importance is not less than the sum of the result threshold are selected as the target risk factors related to the invasion of waters by Tilapia, which are climate similarity, temperature adaptability, intentional invasion history, unintentional invasion history, distribution in provinces other than the introduction site, offspring survival rate, and natural enemies.

[0058] In this 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 an initial risk factor sample, a scene feature data sample of a risk assessment scene sample, and a target risk factor sample related to the risk assessment scene sample; inputting the initial risk factor sample and the scene feature data sample of the risk assessment scene sample into the initial target risk factor screening model to obtain an initial prediction result of the target risk factor; inputting the initial prediction result of the target risk factor and the target risk factor sample into a loss function to obtain an initial result loss value; if the initial result loss value is within the preset acceptable result loss value range, determining the initial target risk factor screening 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 the model parameters of the initial target risk factor screening model to obtain a first adjusted target risk factor screening model; inputting the initial risk factor sample and the scene feature data sample of the risk assessment scene sample into the first adjusted target risk factor screening model to obtain a first prediction result of the target risk factor; inputting the first prediction result of the target risk factor and the target risk factor sample 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 first adjusted target risk factor screening 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 first adjusted target risk factor screening model; and so on, until the result loss value between the target risk factor prediction result output by the target risk factor screening target model after adjusting the model parameters and the target risk factor sample is within the preset acceptable result loss value range, and determining the target risk factor screening target model after adjusting the model parameters 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 an initial risk factor sample; obtaining data on the extreme conditions for the survival of a specific aquatic organism sample in a water area; selecting, from the initial risk factor sample, the initial risk factor sample that matches the data on the extreme conditions for the survival of the specific aquatic organism sample in the water area as the extreme condition factor sample for survival in the water area; obtaining data on the environmental change characteristics of the water area entry location area when the specific aquatic organism sample enters the water area, where the water area entry location area is the water area where the specific aquatic organism sample enters the water; selecting, from the initial risk factor sample, the initial risk factor sample that matches the data on the environmental change characteristics of the water area entry location area when the specific aquatic organism sample enters the water area as the water area environmental change factor sample; adding the extreme condition factor sample for survival in the water area and the water area environmental change factor sample 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 sample, the scenario feature data sample of the risk assessment scenario sample, and the target risk factor sample set related to the risk assessment scenario sample; and training the target risk factor screening model according to 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, and 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] Taking the specific aquatic organism sample as Oreochromis niloticus as an example, the training process of the target risk factor screening model is described below. It should be noted that in this embodiment, the specific aquatic organism can also be any other aquatic organism other than Oreochromis niloticus.

[0061] First, obtain the initial risk factors related to assessing the invasion risk of *Oreochromis niloticus* in waters as the initial risk factor samples. Secondly, obtain the data on the extreme conditions for the survival of *Oreochromis niloticus* in waters, and select the initial risk factor samples that match the data on the extreme conditions for the survival of *Oreochromis niloticus* in waters from the initial risk factor samples as the extreme condition factors samples for survival in waters. For example, the suitable growth temperature range of *Oreochromis niloticus* is 15°C to 35°C, it will be frozen to death when the water temperature is lower than 10°C, and the highest critical temperature is about 40°C to 41°C. Therefore, the upper limit data of the temperature for *Oreochromis niloticus* to survive in waters is 41°C, and the lower limit data of the temperature for survival is 10°C. At the same time, the initial risk factor sample that matches the upper limit data of the temperature for *Oreochromis niloticus* to survive in waters in the initial risk factor samples is the upper temperature limit factor, and the initial risk factor sample that matches the lower limit data of the temperature for *Oreochromis niloticus* to survive in waters in the initial risk factor samples is the lower temperature limit factor. Therefore, the upper temperature limit factor and the lower temperature limit factor are the extreme condition factors samples for survival in waters. *Oreochromis niloticus* has a strong tolerance to low oxygen, and the asphyxiation point is 0.07 to 0.23 mg / L. Therefore, the lower limit of the dissolved oxygen content for *Oreochromis niloticus* to survive in waters is 0.07 mg / L. At the same time, the initial risk factor sample that matches the lower limit data of the dissolved oxygen content for *Oreochromis niloticus* to survive in waters in the initial risk factor samples is the lower dissolved oxygen content factor. Therefore, the lower dissolved oxygen content factor is also an extreme condition factor for survival in waters. The suitable pH value of *Oreochromis niloticus* is 7.0 to 9.0. The initial risk factors that match the extreme pH value data for *Oreochromis niloticus* to survive in waters in the initial risk factor samples are the upper pH value factor and the lower pH value factor. Then, the upper pH value factor and the lower pH value factor are also the extreme condition factors samples for survival in waters. The above extreme condition data only takes the three aspects of temperature, dissolved oxygen content, and pH value as examples. In fact, the extreme condition data for *Oreochromis niloticus* to survive in waters can also include data in other aspects. Correspondingly, the extreme condition factors samples for survival in waters also include risk factors in other aspects. When the specific aquatic organism is other than *Oreochromis niloticus*, the extreme condition data for the survival of the specific aquatic organism sample in waters may be different from the extreme condition data for the survival of *Oreochromis niloticus* in waters. Correspondingly, the extreme condition factors samples for survival in waters are also different from the extreme condition factors samples for the survival of *Oreochromis niloticus* in waters. Thirdly, obtain the data on the environmental change characteristics of the water area entry position area when *Oreochromis niloticus* enters the waters, and select the initial risk factor samples that match the data on the environmental change characteristics of the water area entry position area when *Oreochromis niloticus* enters the waters from the initial risk factor samples as the water area environmental change factor samples.Among them, the water area entry position area is the water area area where Oreochromis niloticus enters the water area, that is, the water area area where Oreochromis niloticus is located at the moment it enters the water area. It may be a small tributary of the water area, a ditch dug artificially to connect the water areas, or the main stream of the water area. The environmental change characteristic data of the water area entry position area can be obtained through the environmental characteristic data monitor placed in the water area entry position area for monitoring environmental characteristics. The environmental characteristic data monitor includes a water temperature sensor, a depth sensor, a flow velocity 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 at the water area entry position when Oreochromis niloticus enters the water area to the server 102. Then, the server 102 obtains the environmental change characteristic data of the water area entry position area when Oreochromis niloticus enters the water area. The change of the environmental change characteristic data reflects, from the side, the increase or decrease of the risk of Oreochromis niloticus entering and invading the water area in this position area. After obtaining the environmental change characteristic data, select the initial risk factor samples that match the environmental change characteristic data of the water area entry position area when Oreochromis niloticus enters the water area from the initial risk factor samples, such as water temperature change factor, flow velocity change factor, turbidity change factor, dissolved oxygen change factor, pH value change factor, etc., as the water area environmental change factor samples. Then, add the above-mentioned survival limit condition factor samples in the water area and the water area environmental change factor samples to the target risk factor sample set related to the risk assessment of Oreochromis niloticus invading the water area. Finally, according to the initial risk factor samples, the scenario characteristic data samples of Oreochromis niloticus invading the water area, and the target risk factor sample set related to Oreochromis niloticus invading the water area, obtain the training data set for training the target risk factor screening model; according to the training data set for training the target risk factor screening model, train the target risk factor screening model.

[0062] Third Embodiment

[0063] Compared with the first embodiment, in the aquatic biological invasion risk assessment system provided in this embodiment, the process of the server obtaining the second evaluation value of any target risk factor in the target risk assessment item is different from that in the first embodiment.

[0064] The aquatic biological invasion risk assessment system provided in this embodiment further includes: an environmental characteristic data monitor for a specific water area, configured to send environmental characteristic data of the specific water area to the server 102; the server 102 is further configured to: obtain a correspondence list recording the correspondence between the identification data of the target risk assessment item, the identification data of at least one target risk factor, and the identification data of the environmental characteristic data monitor for the specific water area; according to the correspondence between the identification data of the target risk assessment item and the identification data of the environmental characteristic data monitor for the specific water area, obtain the environmental characteristic data of the specific water area collected by the environmental characteristic data monitor corresponding to the target risk assessment item; according to the correspondence between the identification data of at least one target risk factor and the identification data of the environmental characteristic data monitor for the specific water area, establish a correspondence between at least one target risk factor and the collected environmental characteristic data of the specific water area; for any one of the at least one target risk factors, according to the correspondence between the at least one target risk factor and the collected environmental characteristic data of the specific water area, obtain the environmental characteristic data corresponding to any one of the target risk factors; according to the environmental characteristic data corresponding to any one of the target risk factors, obtain the monitoring and evaluation value of any one of the target risk factors in the target risk assessment item; obtaining a second evaluation value of a target risk factor in a target risk assessment item according to a first evaluation value of the target risk factor includes: obtaining a second evaluation value of any one of the target risk factors in the target risk assessment item according to a first evaluation value of any one of the target risk factors in the target risk assessment item and a monitoring and evaluation value of any one of the target risk factors in the target risk assessment item. In this embodiment, considering the influence of the environmental characteristics of the specific water area on the target risk assessment item, when calculating the second evaluation value of the target risk factor in the target risk assessment item, the monitoring and evaluation value of the target risk factor in the target risk assessment item is used, 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 this embodiment, the environmental characteristic data monitor for a 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 velocity sensor, an inorganic substance 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 for the specific water area can be multiple. The environmental characteristic data monitors send the environmental characteristic data of the specific water area they monitor 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. The server 102 can obtain all the environmental characteristic data of the specific water area monitored by the corresponding environmental characteristic data monitor through the identification data of the environmental characteristic data monitor, or can also obtain a part of the environmental characteristic data of the specific water area that meets certain conditions. After obtaining the target risk factors of the target risk assessment project, the server 102 establishes a corresponding relationship between this target risk assessment project and the identification data of this target risk assessment project, a corresponding relationship between each target risk factor of this target risk assessment project and the identification data of each target risk factor, and a correspondence between the identification data of each target risk factor and the identification data of the environmental characteristic data monitors for the specific water area. Among them, the target risk factor assessment project is a project for assessing the risk of specific aquatic organisms invading a specific water area, and the specific water area targeted by the environmental characteristic data monitor is the same water area as the specific water area in the target risk assessment project. The server 102 finally establishes a correspondence list of the correspondence relationships 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 monitors for the specific water area according to all the above corresponding relationships. The server 102 can pre-establish the correspondence list and directly call it when needed. Taking the following table as an example for specific illustration, the following 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 item is the item for assessing the risk of Oreochromis niloticus invading the first water area. The identification data of this target risk assessment item is pgxm0001. The target risk factor identification data fxyz0004 represents the water temperature value of the target risk factor, and the corresponding environmental characteristic data monitor is the water temperature sensor. The identification data of the water temperature sensor is jcq010; the target risk factor identification data fxyz0006 represents the dissolved oxygen value of the target risk factor, and the corresponding environmental characteristic data monitor is the dissolved oxygen sensor. The identification data of the dissolved oxygen sensor is jcq005; the target risk factor identification data fxyz0008 represents the water depth value of the target risk factor, and the corresponding environmental characteristic data monitor is the water depth sensor. The identification data of the water depth sensor is jcq012; the target risk factor identification data fxyz0001 represents the water flow velocity value of the target risk factor, and the corresponding environmental characteristic data monitor is the flow velocity sensor. The identification data of the flow velocity sensor is jcq020; the target risk factor identification data fxyz0002 represents the inorganic matter content value of the target risk factor, and the corresponding environmental characteristic data monitor is the inorganic matter sensor. The identification data of the inorganic matter sensor is jcq017; the target risk factor identification data fxyz0005 represents the conductivity value of the target risk factor, and the corresponding environmental characteristic data monitor is the conductivity sensor. The identification data of the conductivity sensor is jcq030; the target risk factor identification data fxyz0003 represents the turbidity value of the target risk factor, and the corresponding environmental characteristic data monitor is the turbidity sensor. The identification data of the turbidity sensor is jcq025; and so on. A corresponding relationship is established 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 be all the target risk factors of this target risk assessment item or only a part of the target risk factors of this target risk assessment item. The target risk factors for which corresponding data cannot be obtained through the environmental characteristic data monitor are not included in this table. The server 102 establishes a corresponding relationship between the target risk factor and the environmental characteristic data collected by the corresponding environmental characteristic data monitor according to the corresponding relationship list shown in Table 5. For example, the water temperature value of the target risk factor corresponds to the water temperature data collected by the water temperature sensor. The server 102 can obtain all or part of the water temperature data collected by the water temperature sensor for the first water area according to the identification data fxyz0004 of the water temperature value of the target risk factor. And so on, the server 102 can obtain the environmental characteristic data corresponding to any target risk factor in Table 5. The server 102 obtains the monitoring and evaluation value of any target risk factor in this target risk assessment item according to the environmental characteristic data corresponding to any target risk factor. That is to say, the evaluation value of the target risk factor in the project, that is, the monitoring and evaluation value, can also be obtained according to 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 according to 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 according to the first evaluation value of any target risk factor in the target risk assessment project and the monitoring and evaluation value of any target risk factor in the target risk assessment project. For example, when the target risk assessment project is the risk assessment project of Nile tilapia invading the first water area, the server 102 obtains the second evaluation value of the target risk factor water temperature value in this target risk assessment project according to the first evaluation value and the monitoring and evaluation value of the target risk factor water temperature value in this target risk assessment project. For any other target risk factor that establishes a corresponding relationship with the environmental characteristic data of the collected first water area, such as the target risk factor dissolved oxygen value, etc., the second evaluation value of the target risk factor in the target risk assessment project can be obtained according to the first evaluation value and the monitoring and evaluation value of the target risk factor in the target risk assessment project.

[0069] In this embodiment, obtaining the monitoring and evaluation value of any target risk factor in the target risk assessment project according to the environmental characteristic data corresponding to any target risk factor includes: obtaining the monitoring and evaluation value of any target risk factor in the target risk assessment project according to the corresponding relationship between the 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 collected target risk factor; or 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 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 specific implementation, the server 102 can preset the environmental characteristic data range corresponding to any target risk factor and the monitoring and evaluation value of any target risk factor in the target risk assessment project. For example, when the water temperature is in the range of 0°C - 10°C, the monitoring and evaluation value of the target risk factor is 4; when the water temperature is in the range of 10°C - 20°C, the monitoring and evaluation value of the target risk factor is 3; when the water temperature is in the range of 20°C - 30°C, the monitoring and evaluation value of the target risk factor is 2; when the water temperature is above 30°C, the monitoring and evaluation value of the target risk factor is 1; when the water temperature is in the range of -10°C - 0°C, the monitoring and evaluation value of the target risk factor is 0. Then, if the water temperature collected by the environmental data monitor for the first water area is any value in the range of 20°C - 30°C, such as 25°C, then the monitoring and evaluation value of the target risk factor water temperature value in the risk assessment project of specific aquatic organism invasion into the first water area is 2. The server 102 can also obtain the monitoring and evaluation value of the target risk factor in the target risk assessment project by using the trained risk factor monitoring and evaluation value model, that is, input 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 and evaluation value prediction model to obtain the monitoring and evaluation value of any target risk factor in the target risk assessment project. For example, for the water temperature of 25°C collected for the first water area, input the environmental characteristic data of 25°C of the target risk factor water temperature value and the project characteristic data of the risk assessment project of specific aquatic organism invasion into the first water area into the risk factor monitoring and evaluation value prediction model to obtain the monitoring and evaluation value of the target risk factor water temperature value in the risk assessment project of specific aquatic organism invasion into the first water area is 2.

[0071] Further, the training process of the risk factor monitoring and evaluation value prediction model is similar to the training process of the target risk factor screening model in the second embodiment. The similar parts will not be elaborated here and can be understood in combination with the second embodiment. Specifically, the risk factor monitoring and evaluation value prediction model is trained in the following manner: First, obtain the environmental feature data sample corresponding to any target risk factor sample, the item feature data sample of the risk assessment item sample, and the monitoring and evaluation value sample of any target risk factor sample in the risk assessment item sample; input the environmental feature data sample corresponding to any target risk factor sample and the item feature data sample of the risk assessment item sample into the initial risk factor monitoring and evaluation value prediction model to obtain the initial monitoring and evaluation value of any target risk factor sample in the risk assessment item sample. Second, input the initial monitoring and evaluation value of any target risk factor sample in the risk assessment item sample and the monitoring and evaluation value sample of any target risk factor sample in the risk assessment item sample into the loss function to obtain the loss value of the initial monitoring and evaluation value. Third, if the loss value of the initial monitoring and evaluation value is within the preset acceptable loss value range of the monitoring and evaluation value, determine the initial risk factor monitoring and evaluation value prediction model as the risk factor monitoring and evaluation value prediction model; if the loss value of the initial monitoring and evaluation value is not within the preset acceptable loss value range of the monitoring and evaluation value, adjust the model parameters of the initial risk factor monitoring and evaluation value prediction model to obtain the first adjusted risk factor monitoring and evaluation value prediction model. Then, input the environmental feature data sample corresponding to any target risk factor sample and the item feature data sample of the risk assessment item sample into the first adjusted risk factor monitoring and evaluation value prediction model to obtain the first monitoring and evaluation value of any target risk factor sample in the risk assessment item sample; input the first monitoring and evaluation value of any target risk factor sample in the risk assessment item sample and the monitoring and evaluation value sample of any target risk factor sample in the risk assessment item sample into the loss function to obtain the loss value of the first monitoring and evaluation value. Finally, if the loss value of the first monitoring and evaluation value is within the preset acceptable loss value range of the monitoring and evaluation value, determine the first adjusted risk factor monitoring and evaluation value prediction model as the risk factor monitoring and evaluation value prediction model; if the loss value of the first monitoring and evaluation value is not within the preset acceptable loss value range of the monitoring and evaluation value, adjust the model parameters of the first adjusted risk factor monitoring and evaluation value prediction model to obtain the second adjusted risk factor monitoring and evaluation value prediction model.And so on, until the loss value of the monitoring and evaluation value between the target monitoring and evaluation value of any target risk factor sample output by the target model for predicting the risk factor monitoring and evaluation value after adjusting the model parameters and the monitoring and evaluation value sample of any target risk factor sample in the risk assessment project sample is within the preset acceptable loss value range of the monitoring and evaluation value, then determine the target model for predicting the risk factor monitoring and evaluation value as the risk factor monitoring and evaluation value prediction model.

[0072] Fourth Embodiment

[0073] In the aquatic biological invasion risk assessment system provided in this embodiment, the target risk factor includes an aquatic biological release intensity factor used to represent the predicted frequency of releasing aquatic organisms into a water area within a specific time period; the aquatic biological invasion risk assessment system further includes a geographic data server 105 for storing geographic data; the server 102 is further configured to: send a coastal geographic object request message for requesting to obtain the coastal geographic objects of a specific water area to the geographic data server; 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, where the list of coastal geographic objects of the specific water area records the identification data of the coastal geographic objects of the specific water area, and the coastal geographic objects of the specific water area are geographic objects whose shortest straight-line distance to the specific water area is 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 the geographic object feature data of any one of the coastal geographic objects according to the identification data of any one of the coastal geographic objects; determine whether any one of the coastal geographic objects has an aquatic biological release feature according to the geographic object feature data of any one of the coastal geographic objects; if it is determined that any one of the coastal geographic objects has an aquatic biological release feature, send a guiding route data request message for requesting to obtain the guiding route data from any one of the coastal geographic objects to the specific water area to the geographic data server 105; obtain the travel convenience data from any one of the coastal geographic objects to the specific water area according to the guiding route data; obtain an aquatic biological release risk degree prediction value for predicting the risk degree of releasing aquatic organisms from any one of the coastal geographic objects to the specific water area according to the travel convenience data, as the aquatic biological release risk degree prediction value of any one of the coastal geographic objects; after obtaining the aquatic biological release risk degree prediction values of each of the coastal geographic objects in the list of coastal geographic objects of the specific water area, obtain an evaluation value for the aquatic biological release intensity factor according to the aquatic biological release risk degree prediction values of all the coastal geographic objects, as a reference evaluation value for the aquatic biological release intensity factor; 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 target risk factor in the target risk assessment item according to the first evaluation value of the aquatic biological release intensity factor in the target risk assessment item and the reference evaluation value for the aquatic biological release intensity factor. Among them, aquatic organisms refer to aquatic organisms in a broad sense, not limited to specific aquatic organisms; water areas refer to all water areas, such as rivers, ditches, lakes, certain tributaries, etc.; the predicted frequency refers to the number of times of releasing aquatic organisms into the water area expected within a specific time period, and the specific time period here can be one year or any other time period. Geographic data includes relevant data of geographic objects, and the relevant data of each geographic object includes at least the identification data and the feature data of the geographic object.A geographical object can refer to a certain supermarket, school, community, restaurant, etc., or it can refer to a certain gate of a school, a certain building in a community, a certain unit in a certain building in a community, etc., or it can refer to a certain river, artificial buildings in the river, natural islands in the river, etc. The meaning of the specific water area in this embodiment is the same as the meaning of the specific water area in the first embodiment of this application. The minimum straight-line distance between the position of the geographical object and the position of the specific water area is calculated as the nearest straight-line distance between the geographical object and the specific water area. Geographical objects with the nearest straight-line distance within the preset distance range are the coastal geographical objects of the specific water area. For example, geographical objects with the nearest straight-line distance to the specific water area within one kilometer are the coastal geographical objects of the specific water area. The identification data of the geographical objects among them are the identification data of the coastal geographical objects of the specific water area. The list composed of the coastal geographical objects of the specific water area is the list of the coastal geographical objects of the specific water area, and the list of the coastal geographical objects of the specific water area records the identification data of the coastal geographical objects of the specific water area. The geographical object feature data of the coastal geographical object refers to the data related to the characteristics of this coastal geographical object and aquatic organisms. For example, if a certain coastal geographical object is a restaurant, and this restaurant purchases or raises aquatic organisms or raises ornamental fish, etc., then various relevant data such as what aquatic organisms this restaurant has, whether it will release aquatic organisms into the specific water area, whether there is a history of releasing aquatic organisms, and what the release frequency is are the geographical object feature data of this restaurant.

[0074] In specific implementation, according to the geographical object feature data of any coastal geographical object, it is determined whether any coastal geographical object has the characteristic of aquatic organism release, including: inputting the geographical object feature data of any coastal geographical object into the prediction model of the characteristic of aquatic organism release to obtain the prediction result of whether any coastal geographical object has the characteristic of aquatic organism release. Among them, the prediction model of the characteristic of aquatic organism release is obtained by training in the following manner: First, obtain the geographical object feature data sample of any coastal geographical object and the prediction result sample of whether any coastal geographical object has the characteristic of aquatic organism release; input the geographical object feature data sample of any coastal geographical object into the initial prediction evaluation model of the characteristic of aquatic organism release to obtain the initial prediction evaluation value of whether any coastal geographical object has the characteristic of aquatic organism release; input the initial prediction evaluation value of whether any coastal geographical object has the characteristic of aquatic organism release and the prediction result sample of whether any coastal geographical object has the characteristic of aquatic organism release 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 preset acceptable loss value range of the prediction evaluation value, then determine the initial prediction evaluation model of the characteristic of aquatic organism release as the prediction model of the characteristic of aquatic organism release; Second, if the loss value of the initial prediction evaluation value is not within the preset acceptable loss value range of the prediction evaluation value, then adjust the model parameters of the initial prediction evaluation model of the characteristic of aquatic organism release to obtain the first adjusted model of the prediction of the characteristic of aquatic organism release; input the geographical object feature data sample of any coastal geographical object into the first adjusted model of the prediction of the characteristic of aquatic organism release to obtain the first prediction evaluation value of whether any coastal geographical object has the characteristic of aquatic organism release; input the first prediction evaluation value of whether any coastal geographical object has the characteristic of aquatic organism release and the prediction result sample of whether any coastal geographical object has the characteristic of aquatic organism release 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 acceptable loss value range of the prediction evaluation value, then determine the first adjusted model of the prediction of the characteristic of aquatic organism release as the prediction model of the characteristic of aquatic organism release; if the loss value of the first prediction evaluation value is not within the preset acceptable loss value range of the prediction evaluation value, then adjust the model parameters of the first adjusted model of the prediction of the characteristic of aquatic organism release to obtain the second adjusted model of the prediction of the characteristic of aquatic organism release; Third, and so on, until the loss value of the prediction evaluation value between the target prediction evaluation value of whether any coastal geographical object has the characteristic of aquatic organism release output by the target model of the prediction of the characteristic of aquatic organism release after adjusting the model parameters and the prediction result sample of whether any coastal geographical object has the characteristic of aquatic organism release is within the preset acceptable loss value range of the prediction evaluation value, then determine the target model of the prediction of the characteristic of aquatic organism release as the prediction model of the characteristic of aquatic organism release.

[0075] In this embodiment, the guidance route data includes the guidance route data for reaching a specific water area from any coastal geographical object by using various travel modes respectively; according to the guidance route data, the travel convenience data for reaching a specific water area from any coastal geographical object is obtained, including: inputting the guidance route data for reaching a specific water area from any coastal geographical object by using various travel modes respectively into the travel convenience data prediction model to obtain the travel convenience data for reaching a specific water area from any coastal geographical object. Among them, the various travel modes refer to various travel modes such as driving, public transportation, taking a taxi, walking, cycling, etc., and the guidance route data includes the guidance route data for reaching a specific water area from any coastal geographical object by using the above travel modes respectively, such as the guidance route data for driving from any coastal geographical object to a specific water area (driving route, time required for driving, etc.) and the guidance route data for using public transportation from any coastal geographical object to a specific water area (public transportation route, time for using public transportation, remaining distance, whether walking is required, etc.) and the guidance route data for taking a taxi from any coastal geographical object to a specific water area (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 as follows: First, obtain the guidance route data samples of using various travel modes from any coastal geographical object to a specific water area and the travel convenience data samples of from any coastal geographical object to a specific water area; input the guidance route data samples of using various travel modes from any coastal geographical object to a specific water area into the initial travel convenience data prediction model to obtain the initial predicted evaluation value of the travel convenience data from any coastal geographical object to a specific water area; input the initial predicted evaluation value of the travel convenience data from any coastal geographical object to a specific water area and the travel convenience data samples of from any coastal geographical object to a specific water area into the loss function to obtain the loss value of the initial predicted evaluation value; if the loss value of the initial predicted evaluation value is within the preset acceptable loss value range of the predicted evaluation value, then determine the initial travel convenience data prediction model as the travel convenience data prediction model; Second, if the loss value of the initial predicted evaluation value is not within the preset acceptable loss value range of the predicted evaluation value, then adjust the model parameters of the initial travel convenience data prediction model to obtain the first adjusted travel convenience data prediction model; input the guidance route data samples of using various travel modes from any coastal geographical object to a specific water area into the first adjusted travel convenience data prediction model to obtain the first predicted evaluation value of the travel convenience data from any coastal geographical object to a specific water area; input the first predicted evaluation value of the travel convenience data from any coastal geographical object to a specific water area and the travel convenience data samples of from any coastal geographical object to a specific water area into the loss function to obtain the loss value of the first predicted evaluation value; if the loss value of the first predicted evaluation value is within the preset acceptable loss value range of the predicted evaluation value, then determine the first adjusted travel convenience data prediction model as the travel convenience data prediction model; Third, if the loss value of the first predicted evaluation value is not within the preset acceptable loss value range of the predicted evaluation value, then adjust the model parameters of the first adjusted travel convenience data prediction model to obtain the second adjusted travel convenience data prediction model; and so on, until the loss value of the predicted evaluation value between the target predicted evaluation value of the 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 travel convenience data samples of from any coastal geographical object to a specific water area is within the preset acceptable loss value range of the predicted evaluation value, then determine the travel convenience data prediction target model as the travel convenience data prediction model.

[0077] In specific implementation, according to the travel convenience data, an aquatic organism release risk prediction value for predicting the risk degree of releasing aquatic organisms from any coastal geographical object to a specific water area is obtained, including: obtaining, according to the correspondence relationship between the travel convenience data range and the aquatic organism release risk prediction value and the travel convenience data, the aquatic organism release risk prediction value corresponding to the travel convenience data, as the aquatic organism release risk prediction value for predicting the risk degree of releasing aquatic organisms from any coastal geographical object to a specific water area. For example, the correspondence relationship between the travel convenience data range and the aquatic organism release risk prediction value can be preset in the server 102 in advance, or other methods can be used to obtain the correspondence relationship between the travel convenience data range and the aquatic organism release risk prediction value. For example, if the travel convenience data range is 0-10 and the corresponding aquatic organism release risk prediction value is 0 (representing a relatively low risk degree of releasing aquatic organisms), then if the travel convenience data obtained from any coastal geographical object to the specific water area in the above steps is 5, the aquatic organism release risk prediction value for predicting the risk degree of releasing aquatic organisms from any coastal geographical object to the specific water area is 0.

[0078] In this embodiment, an evaluation value for the aquatic organism release intensity factor is obtained based on the predicted values of the aquatic organism release risk degrees of all coastal geographical objects, including: determining whether there are predicted values of the aquatic organism release risk degrees that reach or exceed the aquatic organism release risk degree threshold among the predicted values of the aquatic organism release risk degrees of all coastal geographical objects; if so, a predicted value of a high aquatic organism release risk degree is obtained based on the predicted values of the aquatic organism release risk degrees that reach or exceed the aquatic organism release risk degree threshold, and an evaluation value for the aquatic organism release intensity factor corresponding to the predicted value of the high aquatic organism release risk degree is obtained according to the correspondence between the range of the predicted values of the aquatic organism release risk degrees and the evaluation value for the aquatic organism release intensity factor and the predicted value of the high aquatic organism release risk degree; otherwise, a predicted value of a low aquatic organism release risk degree is obtained based on the predicted values of the aquatic organism release risk degrees of all coastal geographical objects, and an evaluation value for the aquatic organism release intensity factor corresponding to the predicted value of the low aquatic organism release risk degree is obtained according to the correspondence between the range of the predicted values of the aquatic organism release risk degrees and the evaluation value for the aquatic organism release intensity factor and the predicted value of the low aquatic organism release risk degree. For example, according to the above steps, the predicted values of the aquatic organism release risk degrees of all coastal geographical objects in a specific water area are calculated. If there are predicted values of the aquatic organism release risk degrees that reach or exceed the aquatic organism release risk degree threshold among them, a predicted value of a high aquatic organism release risk degree is obtained based on the predicted values of the aquatic organism release risk degrees that reach or exceed the aquatic organism release risk degree threshold, including: calculating the average value of the predicted values of the aquatic organism release risk degrees that reach or exceed the aquatic organism release risk degree threshold, and taking the average value as the predicted value of the high aquatic organism release risk degree. For example, the aquatic organism release risk degree threshold is 5, and among the predicted values of the aquatic organism release risk degrees of all coastal geographical objects in a specific water area, the predicted values of the aquatic organism release risk degrees of five coastal geographical objects exceed 5, which are 6, 6, 9, 7, and 10 respectively. Then the average value of these five values, 7.6, is the predicted value of the high aquatic organism release risk degree. After obtaining the predicted value of the high aquatic organism release risk degree, an evaluation value for the aquatic organism release intensity factor corresponding to the predicted value of the high aquatic organism release risk degree is obtained according to the correspondence between the range of the predicted values of the aquatic organism release risk degrees and the evaluation value for the aquatic organism release intensity factor and the predicted value of the high aquatic organism release risk degree. For example, when the predicted value of the aquatic organism release risk degree is 0 - 3 (including 3), the corresponding evaluation value for the aquatic organism release intensity factor is 0; when the predicted value of the aquatic organism release risk degree is 3 - 6 (including 6), the corresponding evaluation value for the aquatic organism release intensity factor is 1; when the predicted value of the aquatic organism release risk degree is 6 - 10 (including 10), the corresponding evaluation value for the aquatic organism release intensity factor is 3. If the predicted value of the high aquatic organism release risk degree is 7.6, then the corresponding evaluation value for the aquatic organism release intensity factor is 3, that is, the reference evaluation value for the aquatic organism release intensity factor is 3.If there is no predicted value of aquatic organism release risk that reaches or exceeds the threshold of aquatic organism release risk among the predicted values of aquatic organism release risk for all coastal geographical objects in a specific water area, then based on the predicted values of aquatic organism release risk for all coastal geographical objects, a predicted value of low aquatic organism release risk is obtained, including: calculating the average value of the predicted values of aquatic organism release risk for all coastal geographical objects, and taking the average value as the predicted value of low aquatic organism release risk. For example, the predicted values of aquatic organism release risk for all coastal geographical objects are respectively: 1, 0, 1, 4, 3, 2, 0, 4, 4, 2, then the predicted value of low aquatic organism release risk is 2.1. According to the corresponding relationship between the above range of predicted values of aquatic organism release risk and the evaluation value for the aquatic organism release intensity factor, the evaluation value for the aquatic organism release intensity factor corresponding to the predicted value of low aquatic organism release risk of 2.1 is 0, that is, the reference evaluation value for the aquatic organism release intensity factor is 0.

[0079] In this embodiment, based on the first evaluation value of the aquatic organism release intensity factor in the target risk assessment item and the reference evaluation value for the aquatic organism release intensity factor, a second evaluation value of the aquatic organism release intensity factor in the target risk assessment item is obtained, including: obtaining the weighted average of the first evaluation value of the aquatic organism release intensity factor in the target risk assessment item and the reference evaluation value for the aquatic organism release intensity factor, and taking it as the second evaluation value of the aquatic organism release intensity factor in the target risk assessment item; or, if the reference evaluation value for the aquatic organism release intensity factor is higher than the first evaluation value of the aquatic organism release intensity factor in the target risk assessment item, then taking the reference evaluation value for the aquatic organism release intensity factor as the second evaluation value of the aquatic organism release intensity factor in the target risk assessment item. In this embodiment, the data obtained by the server 102 from the geographical data server 105 can relatively accurately determine whether the coastal geographical objects in a specific water area have the characteristics of aquatic organism release, and based on the predicted values of aquatic organism release risk for all coastal geographical objects, obtain the reference evaluation value for the aquatic organism release intensity factor, thus avoiding the manual visit and investigation of the coastal geographical objects, improving the efficiency of judging whether the coastal geographical objects have the characteristics of aquatic organism release, and the obtained results are also closer to the actual situation, and the finally obtained second evaluation value of the target risk factor is also more accurate.

[0080] Fifth Embodiment

[0081] Refer to Figure 8, the aquatic biological invasion risk assessment system provided in this embodiment further includes: video monitors arranged at multiple locations in a specific water area; the video monitors are used to monitor the 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 further used for: obtaining the environmental DNA detection result; if the environmental DNA detection result indicates that the DNA sequence of a specific aquatic organism is detected based on the environmental sample at a specified location in the specific water area, then judge whether there is a video monitor in the area where the specified location is located in the specific water area according to the location data of the video monitor in the specific water area; if there is a video monitor in the area where the specified location is located in the specific water area, obtain the environmental image data of the target collection period from the environmental image data sent by the video monitor arranged in the area where the specified location is located, and the target collection period includes the collection time point when the environmental sample is collected at the specified location; according to the environmental image data of the target collection period, obtain an environmental image judgment result indicating whether a specific aquatic organism enters the area where the specified location is located during the target collection period; obtain the confidence data of the environmental DNA detection result according to the environmental image judgment result; obtain the risk assessment value for the target risk assessment item according to the second evaluation value of the target risk factor, including: obtaining the risk assessment value for the target risk assessment item according to the second evaluation value in the target risk assessment item, the environmental DNA detection result, and the confidence data of the environmental DNA detection result. Among them, there can be multiple video monitors and they are waterproof, used to monitor the environmental image data of the areas where multiple locations in the specific water area are located, and send the monitored environmental image data to the server 102. The server 102 assists in confirming whether there is a specific aquatic organism at multiple locations in the specific water area through the environmental image data. The server 102 has the location data of each video monitor. According to the environmental image data of the target collection period, obtain an environmental image judgment result indicating whether a specific aquatic organism enters the area where the specified 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 indicating whether a specific aquatic organism enters the area where the specified location is located during the target collection period. Among them, environmental DNA refers to the DNA (DeoxyriboNucleic Acid) directly obtained from environmental samples, including the DNA released by animals, plants, and microorganisms in environments such as air, soil, and water bodies. DNA refers to deoxyribonucleic acid, which is one of the four biological macromolecules contained in biological cells and is a type of nucleic acid. In this embodiment, the environmental sample terminal detects the environmental sample collected at a specified location in the specific water area, and the obtained detection result after 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 test result indicates that the DNA sequence of a specific aquatic organism is detected in an environmental sample based on a specified location in a specific water area, the environmental DNA test result is 1. When the environmental DNA test result indicates that the DNA sequence of a specific aquatic organism is not detected in an environmental sample based on a specified location in a specific water area, the environmental DNA test result is 0. The environmental sample terminal can collect an environmental sample at a specified location in a specific water area at a specified collection time point through an environmental sample sampler set at the specified location in the specific water area. For example, refer to... Figure 8 In the figure, the area where the black dots are located is the installation position of the environmental sample sampler. One or more environmental sample samplers can be installed 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. Among them, the water quality sampler can quantitatively collect water samples 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 the water, and the sediment sampler is used to collect sediment samples at the bottom of the water. The distance between environmental sample samplers, the distance between an environmental sample sampler and a video monitor, and the distance between multiple video monitors cannot exceed a preset distance threshold. The minimum distance should be such that it does not affect the normal operation of the samplers and video monitors with respect to each other. Further, if the environmental DNA test result obtained by the server 102 indicates that the DNA sequence of a specific aquatic organism is detected in an environmental sample based on a specified location in a specific water area, it is determined whether a video monitor is installed in the area where the specified location in the specific water area is located. Specifically, the server 102 can determine whether the position data of the video monitor in the specific water area contains the position data of the specified location in the specific water area, and based on the obtained judgment result, determine whether the area where the specified location in the specific water area is located contains a video monitor. If a video monitor is installed in the area where the specified location in the specific water area is located, the environmental image data for the target collection period is obtained from the environmental image data sent by the video monitor installed in the area where the specified location is located. The target collection period includes the collection time point when the environmental sample is collected at the specified location. Then, the environmental image data for the target collection period is input into a specific aquatic organism image recognition model to obtain an environmental image judgment result on whether a specific aquatic organism enters the area where the specified location is located during the target collection period. Among them, the specific aquatic organism image recognition model realizes the recognition of images of specific aquatic organisms through feature extraction and model training of specific aquatic organisms.

[0082] Further, confidence data of the environmental DNA detection result is obtained according to the environmental image judgment result. For example, in a specific aquatic organism recognition model, when the possibility that the environmental image data contains an image of a specific aquatic organism is more than 85%, it indicates that a specific aquatic organism enters the area where the designated position in a specific water area is located during the target collection period. When the possibility that the environmental image data contains an image of a specific aquatic organism is less than 15%, it indicates that no specific aquatic organism enters the area where the designated position in a specific water area is located during the target collection period. Then, when the environmental image data of the target collection period is input into the specific aquatic organism image recognition model, if an image of a specific aquatic organism is recognized through the specific aquatic organism graphic recognition model, the confidence data of the environmental DNA detection result is 0.85; if an image of a specific aquatic organism is not recognized through the specific aquatic organism graphic recognition model, the confidence data of the environmental DNA detection result is 0.15. In this embodiment, the confidence data of the environmental DNA monitoring 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] Refer to Figure 9, the aquatic biological invasion risk assessment system provided by this embodiment further includes: a geographic data server 105 for storing geographic data; the server 102 is further configured to: send a first geographic data request message for requesting to obtain the location data of the water area intersection point and the location data of the waterway intersection point to the geographic data server 105, where the location data of the water area intersection point is the location data of the intersection point of a specific water area and a connected water area, the connected water area is a water area having an intersection point with the specific water area, the location data of the waterway intersection point is the location data of the intersection point of a passable path and the specific water area, and the passable path is a path that can reach the specific water area and is passable; obtain the location data of the water area intersection point and the location data of the waterway intersection point returned by the geographic data server 105 in response to the first geographic data request message; select at least one location from the water area intersection point represented by the location data of the water area intersection point and the waterway intersection point represented by the location data of the waterway intersection point as the reference setting location of the video monitor and the reference collection location of the environmental sample; select at least one location from the locations within the first distance range from the reference setting location of the video monitor as the location for setting the video monitor; select at least one location from the locations within the second distance range from the reference collection location of the environmental sample as the collection location of the environmental sample. Among them, geographic data is data directly or indirectly associated with a certain location, including natural geographic data and socio-economic data, such as land cover type data, geomorphic data, soil data, hydrological data, vegetation data, residential area data, river data, etc., where river data includes the identification of the river, the location of the river, the shape of the river, the length of the river, the flow direction of the river, the flow rate change of the river, the intersection of rivers, the intersection of the river and the land, etc.

[0084] In specific implementation, a first geographic data request message for requesting to obtain water area intersection location data and waterway intersection location data is sent to the geographic data server 105, including: sending a first geographic data request message for requesting to obtain water area intersection location data, water flow direction characteristic data between a specific water area and a connected water area, waterway intersection location data, and traffic flow data of 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 waterway intersection location data returned by the geographic data server 105 in response to the first geographic data request message, including: obtaining the water area intersection location data, water flow direction characteristic data between a specific water area and a connected water area, waterway intersection location data, and traffic flow data of the waterway intersection location returned by the geographic data server in response to the first geographic data request message; selecting at least one location from the water area intersection location represented by the water area intersection location data and the waterway intersection location represented by the waterway intersection location data as the video monitor reference setting location and the environmental sample reference collection location, including: according to the water flow direction characteristic data between a specific water area and a connected water area, selecting a water area intersection location with the characteristic that the water flow is from the connected water area to the specific water area from the water area intersection locations as the selected water area intersection location; according to the traffic flow data of the waterway intersection location, selecting a waterway intersection location with the traffic flow data reaching the preset traffic flow data threshold from the waterway intersection locations as the selected waterway intersection location; determining the selected water area intersection location and the selected waterway intersection location as the video monitor reference setting location and the environmental sample reference collection location. Wherein, with a specific water area as the reference, the water areas having intersections with the specific water area are all connected water areas, and the connected water areas can be one or more. The location data of the intersection location between the specific water area and the connected water area is the water area intersection location data. Because the specific water area may be a certain section of a river, and there may be no water areas having intersections with this section of the water area, so the 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 the flow from the specific water area to the connected water area or data indicating the flow from the connected water area to the specific water area. With a specific water area as the reference, the paths that can reach the specific water area and are passable are all passable paths, and the passable paths can be one or more. The location data of the intersection location between the passable path and the specific water area is the waterway intersection location data. The traffic flow data of 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. Refer to Figure 8, for example, the water flow direction feature of the connected water area 2 is from the connected water area 2 to a specific water area. Therefore, the water area intersection point position between the connected water area 2 and the specific water area is selected as the selected water area intersection point position. If the pedestrian or vehicle flow of the passable path 1 is large and its passing flow data reaches the preset passing flow data threshold, then the waterway intersection point position 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 these two positions can be selected as the monitor reference setting position at the same time. Additionally, it should be noted that Figure 8 is only a schematic diagram. In reality, there can be multiple selected water area intersection point positions and selected waterway intersection point positions.

[0085] Sixth Embodiment

[0086] The aquatic biological invasion risk assessment system provided in this embodiment further includes: a geographical data server 105 for storing geographical data; the server 102 is further configured to: send a connected water area list request message for requesting to obtain a list of connected water areas of a specific water area to the geographical data server 105; obtain the list of connected water areas of the specific water area returned by the geographical data server 105 in response to the connected water area list request message, and the identification data of the connected water areas having intersection points with the specific water area is recorded in the list of connected water areas of the specific water area; determine whether the risk assessment value of the risk assessment item for the connected water area has been obtained according to the identification data of the connected water area, and the risk assessment item for the connected water area is an item for assessing the risk of a specific aquatic organism invading the connected water area; if it is determined that the risk assessment value of the risk assessment item for the connected water area has been obtained, then obtain the risk assessment value for the target risk assessment item according to the second assessment value of the target risk factor, including: obtaining an initial risk assessment value for the target risk assessment item according to the second assessment value of the target risk factor; taking the risk assessment value of the risk assessment item for the connected water area that has been obtained as a reference risk assessment value, and obtaining the risk assessment value for the target risk assessment item according to the initial risk assessment value and the reference risk assessment value. The list of connected water areas of the specific water area obtained by the server 102 records all the connected water areas having intersection points with the specific water area and the corresponding identification data of the connected water areas. Query the server 102 through the identification data of the connected water area to determine whether the risk assessment value of the item for assessing the risk of a specific aquatic organism invading the connected water area has been obtained. If the server 102 has not obtained the risk assessment value of the risk assessment item for the connected water area, then the influence of the risk assessment value of the risk assessment item for the connected water area does not need to be considered when obtaining the risk assessment value of the risk assessment item for a specific aquatic organism invading the specific water area; if the server 102 has obtained the risk assessment value of the risk assessment item for the connected water area, then the influence of the risk assessment value of the risk assessment item for the connected water area needs to be considered when obtaining the risk assessment value of the risk assessment item for a specific aquatic organism invading the specific water area, that is, if it is determined that the risk assessment value of the risk assessment item for the connected water area has been obtained, then obtain the risk assessment value for the target risk assessment item according to the second assessment value of the target risk factor, including: obtaining an initial risk assessment value for the target risk assessment item according to the second assessment value of the target risk factor; taking the risk assessment value of the risk assessment item for the connected water area that has been obtained as a reference risk assessment value, and obtaining the risk assessment value for the target risk assessment item according to the initial risk assessment value and the reference risk assessment value.

[0087] In this embodiment, the water flow direction characteristic data between the specific water area and the connected water area is also recorded in the list of connected water areas of the specific water area. During specific 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 characteristic data between the specific water area and the connected water area indicates that the water flows from the connected water area to the specific water area, then the reference risk assessment value is determined as the risk assessment value for the target risk assessment item, or the average value 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 further configured to: if the initial risk assessment value is higher than the reference risk assessment value, and the water flow direction characteristic data between the specific water area and the connected water area indicates that the water flows from the specific water area to the connected water area, then change the risk assessment value of the risk assessment item for the connected water area to the initial risk assessment value, or change the risk assessment value of the risk assessment item for the connected water area to the average value of the initial risk assessment value and the reference risk assessment value.

[0088] Seventh Embodiment

[0089] In the above first embodiment, an aquatic biological invasion risk assessment system is provided. Correspondingly, the seventh embodiment of the present application provides an aquatic biological invasion risk assessment method. The parts of this embodiment that are the same as those in the first embodiment will not be described again. Please refer to the corresponding parts in the first embodiment.

[0090] The aquatic biological invasion risk assessment method provided in this embodiment includes the following steps:

[0091] Step S701: Obtain the first evaluation value of the importance of the initial risk factor. The initial risk factor is the initial risk factor related to the specific scenario of risk assessment. The specific scenario of risk assessment is the scenario for assessing the risk of a specific aquatic organism invading a water area. The first evaluation value of importance is the evaluation value output by the importance evaluation entity for the importance degree of the initial risk factor in the specific scenario of risk assessment.

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

[0093] Step S703: Select the target risk factor related to the specific scenario of risk assessment from the initial risk factors according to the second evaluation value of importance. The second evaluation value of importance is the evaluation value output by the importance evaluation entity for the importance degree of the initial risk factor in the specific scenario of risk assessment. The target risk factor is the risk factor required to assess the risk of a specific aquatic organism invading a water area in the specific scenario of risk assessment.

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

[0095] Step S705: Obtain the 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, as the second evaluation value of the target risk factor.

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

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

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

[0099] The aquatic biological invasion risk assessment method provided by this embodiment further includes: obtaining the professional level evaluation value of the risk value evaluation subject for the target risk assessment item or target risk factor as the professional level evaluation value of the risk value evaluation subject; obtaining the second importance evaluation value of the target risk factor from the second importance evaluation values of the initial risk factors; obtaining the 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 target risk factor in the target risk assessment item according to the first evaluation value of the target risk factor, the second importance evaluation value of the target risk factor, and the professional level evaluation value of the risk value evaluation subject. Specifically, when implemented, the number of target risk factors is multiple, and the number of risk value evaluation subjects is multiple; obtaining the 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, the second importance evaluation value of the target risk factor, and the professional level evaluation value of the risk value evaluation subject, including: for any one target risk factor, obtaining the product result of the second importance evaluation value of any one target risk factor and the evaluation value of any one risk value evaluation subject for any one target risk factor in the target risk assessment item as the first weighted result of any one target risk factor corresponding to any one risk value evaluation subject; obtaining the quotient data between the first weighted result of any one target risk factor and the upper limit value of the evaluation of any one target risk factor in the target risk assessment item as the quotient data of the first weighted result of any one target risk factor corresponding to any one risk value evaluation subject; obtaining the product result between the quotient data of the first weighted result of any one target risk factor and the professional level evaluation value of any one risk value evaluation subject as the second weighted result of any one target risk factor corresponding to any one risk value evaluation subject; after obtaining the second weighted results of any one target risk factor corresponding to each of the multiple risk value evaluation subjects, obtaining the average value of the second weighted results of all the risk value evaluation subjects corresponding to any one target risk factor among the multiple risk value evaluation subjects as the second evaluation value of any one target risk factor in the target risk assessment item.

[0100] In step S706, the number of target risk factors is multiple; obtaining the risk assessment value for the target risk assessment item according to the second evaluation value of the target risk factor, including: after obtaining the second evaluation values of each of the multiple target risk factors in the target risk assessment item, obtaining the sum data of the second evaluation values of all the target risk factors among the multiple target risk factors in the target risk assessment item as the risk assessment value for the target risk assessment item.

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

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

[0103] The aquatic biological invasion risk assessment method provided by this embodiment further includes: obtaining the first evaluation value of the target risk factor in other water area risk assessment items, where the other water area risk assessment items are items for assessing the risk of a specific aquatic organism invading other water areas; obtaining the second evaluation value of the target risk factor in other water area risk assessment items according to the first evaluation value of the target risk factor in other water area risk assessment items; obtaining the risk assessment value for other water area risk assessment items according to the second evaluation value of the target risk factor in other water area risk assessment items; sorting the other water area risk assessment items and the target risk assessment item in descending order of the risk assessment value to obtain the sorted risk assessment items for the specific aquatic organism; according to the preset high-risk item selection strategy, high-risk items for the specific aquatic organism are selected from the sorted risk assessment items for the specific aquatic organism; marking the water area corresponding to the high-risk items for the specific aquatic organism as the high-risk water area invaded by the specific aquatic organism.

[0104] Eighth Embodiment

[0105] In the above seventh embodiment, a method for assessing the risk of aquatic biological invasion is provided. Correspondingly, in the eighth embodiment of the present application, an apparatus for assessing the risk of aquatic biological invasion is provided. Since the apparatus embodiment is basically similar to the method seventh embodiment, the description is relatively simple. For related parts, refer to the partial description of the method embodiment. The apparatus embodiments described below are merely illustrative.

[0106] The apparatus for assessing the risk of aquatic biological invasion provided in this embodiment includes: a first obtaining unit for obtaining a first evaluation value of the importance of an initial risk factor, where the initial risk factor is an initial risk factor related to a specific scenario of risk assessment, the specific scenario of risk assessment is a scenario for assessing the risk of a specific aquatic organism invading a water area, and the first evaluation value of importance is an evaluation value output by an importance evaluation entity for the importance degree of the initial risk factor in the specific scenario of risk assessment; a second obtaining unit for obtaining a second evaluation value of the importance of the initial risk factor according to the first evaluation value of importance; a first selection unit for selecting, according to the second evaluation value of importance, a target risk factor related to the specific scenario of risk assessment from the initial risk factors, the second evaluation value of importance is an evaluation value output by an importance evaluation entity for the importance degree of the initial risk factor in the specific scenario of risk assessment, and the target risk factor is a risk factor required to assess the risk of a specific aquatic organism invading a specific water area in the specific scenario of risk assessment; a third obtaining unit for obtaining a first evaluation value of the target risk factor by a risk value evaluation entity in a target risk assessment item as the first evaluation value of the target risk factor, where the target risk assessment item is an item for assessing the risk of a specific aquatic organism invading a specific water area; a fourth obtaining unit for 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; a fifth obtaining unit for obtaining a risk assessment value for the target risk assessment item according to the second evaluation value of the target risk factor.

[0107] Ninth Embodiment

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

[0109] The electronic device provided in this embodiment includes: a processor and a memory; the memory is used to store a computer program, and the processor calls the computer program stored in the memory to execute the above method for assessing the risk of aquatic biological invasion.

[0110] Tenth Embodiment

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

[0113] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a device, or a computer program product. Therefore, the embodiments of the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the embodiments of the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0114] Although the preferred embodiments of the embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications to these embodiments once they know the basic creative concept. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications falling within the scope of the embodiments of the present invention.

[0115] Finally, it should also be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or terminal device. Without further limitation, an element defined by the statement "including a..." does not exclude the presence of additional identical elements in the process, method, article or terminal device including the said element.

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

Claims

1. An aquatic biological invasion risk assessment system, characterized in that, Including: A server, a risk factor assessment terminal, and a 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 factors returned by the server, obtain a first evaluation value of the importance of the initial risk factors, and send the first evaluation value of the importance to the server. The initial risk factors are initial risk factors related to a specific risk assessment scenario, and the specific risk assessment scenario is a scenario for assessing the risk of specific aquatic organisms invading waters. The first evaluation value of the importance is used to represent the evaluation value output by the risk factor assessment terminal for the importance of the initial risk factors in the specific risk assessment scenario; The server is configured to obtain a second evaluation value of the importance of the initial risk factors according to the first evaluation value of the importance, and select target risk factors related to the specific risk assessment scenario from the initial risk factors according to the second evaluation value of the importance. The second evaluation value of the importance is used to represent the evaluation value output by the server for the importance of the initial risk factors in the specific risk assessment scenario. The target risk factors are risk factors required for assessing the risk of specific aquatic organisms invading waters in the specific risk assessment scenario; The risk value assessment terminal is configured to send a target risk factor acquisition request message for requesting to obtain the target risk factors to the server, obtain the target risk factors returned by the server in response to the target risk factor acquisition request message, obtain a first evaluation value of the target risk factors in a target risk assessment project as the first evaluation value of the target risk factors, and send the first evaluation value of the target risk factors to the server. The target risk assessment project is a project for assessing the risk of specific aquatic organisms invading specific waters; The server is further configured to obtain a second evaluation value of the target risk factors in the target risk assessment project according to the first evaluation value of the target risk factors as the second evaluation value of the target risk factors, and obtain a risk assessment value for the target risk assessment project according to the second evaluation value of the target risk factors.

2. The aquatic biological invasion risk assessment system according to claim 1, wherein Also including: A management terminal, configured to send a general risk factor acquisition request message to the server, obtain the general risk factors returned by the server, select risk factors related to the specific risk assessment scenario from the general risk factors returned by the server as the initial risk factors, and send the initial risk factors to the server. The general risk factors are general risk factors related to a general risk assessment scenario, and the general risk assessment scenario is a general scenario for assessing the risk of biological invasion of ecological regions.

3. The aquatic biological invasion risk assessment system according to claim 1, wherein The server is further configured to: Obtain the scenario feature data of the specific risk assessment scenario; Input the initial risk factors and the scenario feature data of the specific risk assessment scenario into a target risk factor screening model to obtain target risk factors related to the specific risk assessment scenario as the target risk factors output by the model. Selecting target risk factors related to the specific scenario of risk assessment from the initial risk factors according to the second importance evaluation value, including: Sorting the initial risk factors in descending order according to the second importance evaluation value to obtain the sorted initial risk factors; Selecting the top-ranked model output target risk factors with the sum result of the second importance evaluation value not lower than the sum result threshold from the sorted initial risk factors as the target risk factors related to the specific scenario of risk assessment. The sum result of the second importance evaluation value is the sum result of the second importance evaluation values of the top-ranked multiple model output target risk factors, and the sum result threshold is obtained according to the total sum result of the second importance evaluation values of all initial risk factors and the preset total sum result ratio.

4. The aquatic biological invasion risk assessment system according to claim 1, characterized in that It 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 further configured to: Obtain a correspondence list recording the correspondence between the identification data of the target risk assessment item, the identification data of at least one target risk factor, and the identification data of the environmental characteristic data monitor for the specific water area; According to the correspondence between the identification data of the target risk assessment item and the identification data of the environmental characteristic data monitor for the specific water area, obtain the environmental characteristic data of the specific water area collected by the environmental characteristic data monitor corresponding to the target risk assessment item; According to the correspondence between the identification data of at least one target risk factor and the identification data of the environmental characteristic data monitor for the specific water area, establish the correspondence between at least one target risk factor and the collected environmental characteristic data of the specific water area; For any one of the at least one target risk factors, according to the correspondence between the at least one target risk factor and the collected environmental characteristic data of the specific water area, obtain the environmental characteristic data corresponding to the any one target risk factor; According to the environmental characteristic data corresponding to the any one target risk factor, obtain the monitoring and evaluation value of the any one target risk factor in the target risk assessment item; Obtaining the 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 includes: 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 and evaluation value of the any one target risk factor in the target risk assessment item.

5. The aquatic biological invasion risk assessment system according to claim 1, wherein The target risk factor includes an aquatic organism release intensity factor used to represent the predicted frequency of releasing aquatic organisms into the water area 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 further configured to: Send a coastal geographic object request message to the geographic data server for requesting to obtain the coastal geographic objects of the specific water area; Obtain the list of coastal geographic objects of the specific water area returned by the geographic data server for the coastal geographic object request message. The list of coastal geographic objects of the specific water area records the identification data of the coastal geographic objects of the specific water area, and the coastal geographic objects of the specific water area are geographic objects whose shortest straight-line distance from the specific water area is 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 the 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; Judge whether the any one of the coastal geographic objects has the feature of aquatic organism release 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 feature of aquatic organism release, send a guidance route data request message to the geographic data server for requesting to obtain the guidance route data from the any one of the coastal geographic objects to the specific water area; Obtain the travel convenience data from the any one of the coastal geographic objects to the specific water area according to the guidance route data; Obtain an aquatic organism release risk degree prediction value for predicting the 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, as the 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 coastal geographic object in the list of coastal geographic objects of the specific water area, obtain an evaluation value for the aquatic organism release intensity factor according to the aquatic organism release risk degree prediction values of all coastal geographic objects, as the reference evaluation value for the aquatic organism release intensity factor; The obtaining the 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 includes: obtaining the second evaluation value of the aquatic organism release intensity factor in the target risk assessment item according to the first evaluation value of the aquatic organism release intensity factor in the target risk assessment item and the reference evaluation value for the aquatic organism release intensity factor.

6. The aquatic biological invasion risk assessment system according to claim 1, wherein Further includes: A geographic data server for storing geographic data; The server is further used for: Send a connected water area list request message to the geographic data server for requesting to obtain the list of connected water areas of the specific water area; Obtain the list of connected water areas of the specific water area returned by the geographic data server for the connected water area list request message. The list of connected water areas of the specific water area records the identification data of the connected water areas having intersection points with the specific water area; Based on the identification data of the connected water area, determine whether a risk assessment value for the risk assessment project of the connected water area has been obtained, where the risk assessment project of the connected water area is a project 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 project of the connected water area has been obtained, then obtaining the risk assessment value for the target risk assessment project according to the second evaluation value of the target risk factor includes: Obtaining an initial risk assessment value for the target risk assessment project according to the second evaluation value of the target risk factor; Taking the risk assessment value of the risk assessment project of the connected water area that has been obtained as a reference risk assessment value, and obtaining the risk assessment value of the target risk assessment project according to the initial risk assessment value and the reference risk assessment value.

7. A method for assessing the risk of aquatic biological invasion, characterized in that, Including: Obtaining a first evaluation value of the importance of the initial risk factor, where 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 a specific aquatic organism invading a water area, and the first evaluation value of the importance is an evaluation value output by an importance evaluation entity for the importance degree of the initial risk factor in the specific risk assessment scenario; Obtaining a second evaluation value of the importance of the initial risk factor according to the first evaluation value of the importance; Selecting, according to the second evaluation value of the importance, a target risk factor related to the specific risk assessment scenario from the initial risk factors, where the second evaluation value of the importance is an evaluation value output by an importance evaluation entity for the importance degree 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 a specific aquatic organism invading a water area in the specific risk assessment scenario; Obtaining a first evaluation value of the target risk factor by the risk value evaluation entity in the target risk assessment project as the first evaluation value of the target risk factor, where the target risk assessment project is a project for assessing the risk of a specific aquatic organism invading a specific water area; Obtaining 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 as the second evaluation value of the target risk factor; Obtaining the risk assessment value for the target risk assessment project according to the second evaluation value of the target risk factor.

8. An aquatic biological invasion risk assessment device, characterized in that Including: A first obtaining unit for obtaining a first evaluation value of the importance of the initial risk factor, where 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 a specific aquatic organism invading a water area, and the first evaluation value of the importance is an evaluation value output by an importance evaluation entity for the importance degree of the initial risk factor in the specific risk assessment scenario; A second obtaining unit for obtaining a second evaluation value of the importance of the initial risk factor according to the first evaluation value of the importance; A first selection unit, configured to select, according to the second importance evaluation value, target risk factors related to the specific risk assessment scenario from the initial risk factors, where the second importance evaluation value is an evaluation value output by an importance evaluation entity for the importance degree of the initial risk factors in the specific risk assessment scenario, and the target risk factors are risk factors required for assessing the risk of a specific aquatic organism invading a water area in the specific risk assessment scenario; A third obtaining unit, configured to obtain a first evaluation value of the target risk factors by a risk value evaluation entity in a target risk assessment project as the first evaluation value of the target risk factors, where the target risk assessment project is a project for assessing the risk of a specific aquatic organism invading a specific water area; A fourth obtaining unit, configured to obtain a second evaluation value of the target risk factors in the target risk assessment project according to the first evaluation value of the target risk factors as the second evaluation value of the target risk factors; A fifth obtaining unit, configured to obtain a risk assessment value for the target risk assessment project according to the second evaluation value of the target risk factors.

9. An electronic device, characterized in that, Comprising: A processor and a memory; The memory is configured to store a computer program, and the processor calls the computer program stored in the memory to execute the aquatic organism invasion risk assessment method according to claim 7.

10. A storage device, characterized in that, A storage device stores a computer program, and the computer program is run by a processor to execute the aquatic organism invasion risk assessment method according to claim 7.

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