A data-driven invasive alien species monitoring method and system

Abstract

The present invention discloses a data-driven alien invasive species supervision method and supervision system, which relates to the field of data processing technology, including: establishing a species label library for the target supervision area, performing dependency identification, and outputting a species dependency network; when an alien invasive species is monitored, obtaining the invasive species information; downloading a trained chain impact analysis model, combining the species dependency network with the invasive species information to perform chain analysis, and obtaining chain impact indicators, wherein the direct impact indicator is the degree of impact of the invasive species information directly causing the population reduction in the species label library, and the indirect impact indicator is the degree of impact of the directly reduced population causing the reduction of other populations; uploading the chain impact indicators to the invasive species supervision platform, and performing alien invasive species cleaning according to the cleaning equipment. The present invention solves the technical problem of poor efficiency in the existing technology for invasive species control, and achieves the technical effect of efficient invasive species control.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a data-driven alien invasive species supervision method and supervision system. Background Art

[0002] With the acceleration of globalization and the expansion of human activities, the threat posed by invasive alien species to local ecosystems is increasing. The management of invasive species has become a critical task in areas such as agricultural production, ecological protection, and urban management. However, with the increasing complexity of ecosystems and the diversification of invasive species spread patterns, the supervision and management of invasive species also face severe challenges. Traditional invasive species supervision methods often rely on manual observation or a single monitoring method. These methods suffer from limited monitoring range, slow response speed, and low management efficiency, making them difficult to meet the needs of today's ecological protection work. Summary of the Invention

[0003] The present application provides a data-driven alien invasive species supervision method and supervision system, which is used to solve the technical problem of poor efficiency in invasive species management in existing technologies.

[0004] In view of the above problems, the present application provides a data-driven alien invasive species supervision method and supervision system.

[0005] In a first aspect, the present application provides a data-driven method for regulating invasive alien species, the method comprising:

[0006] Establish a species tag library for the target regulatory area; perform dependency identification on the species tag library and output a species dependency network; when the invasive species regulatory platform detects an alien invasive species, obtain the invasive species information; download the trained chain impact analysis model to the invasive species regulatory platform, perform chain analysis on the invasive species information in combination with the species dependency network, and obtain chain impact indicators, wherein the chain impact indicators are calculated and obtained by direct impact indicators and multiple indirect impact indicators, wherein the direct impact indicator is the degree of impact of the invasive species information directly leading to a population reduction in the species tag library, and the indirect impact indicator is the degree of impact of the directly reduced population leading to a reduction in other populations; upload the chain impact indicator to the invasive species regulatory platform, and perform alien invasive species cleaning according to the cleaning equipment connected to the invasive species regulatory platform.

[0007] The second aspect of the present application provides a data-driven invasive alien species monitoring system, the system comprising:

[0008] a label library establishment module, the label library establishment module is used to establish a species label library for the target supervision area; a dependency identification module, the dependency identification module is used to perform dependency identification on the species label library and output a species dependency network; an invasive species information acquisition module, the invasive species information acquisition module is used to obtain invasive species information when the invasive species supervision platform monitors alien invasive species; a chain analysis module, the chain analysis module is used to download a trained chain impact analysis model from the invasive species supervision platform, perform chain analysis on the invasive species information in combination with the species dependency network, and obtain chain impact indicators, the chain impact indicators are calculated and obtained by direct impact indicators and multiple indirect impact indicators, wherein the direct impact indicator is the degree of impact of the invasive species information directly causing a population reduction in the species label library, and the indirect impact indicator is the degree of impact of the directly reduced population causing a reduction in other populations; a cleaning module, the cleaning module is used to upload the chain impact indicator to the invasive species supervision platform, and perform alien invasive species cleaning according to the cleaning equipment connected to the invasive species supervision platform.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] This application establishes a species tag library for the target regulatory area; performs dependency identification on the species tag library and outputs a species dependency network; when the invasive species regulatory platform monitors an alien invasive species, obtains the invasive species information; downloads a trained chain impact analysis model to the invasive species regulatory platform, performs a chain analysis on the invasive species information in combination with the species dependency network, and obtains chain impact indicators, wherein the chain impact indicators include direct impact indicators and multiple indirect impact indicators, wherein the direct impact indicator is the degree of impact of the invasive species information directly leading to a population reduction in the species tag library, and the indirect impact indicator is the degree of impact of the directly reduced population leading to a reduction in other populations; the chain impact indicator is uploaded to the invasive species regulatory platform, and the alien invasive species are cleaned up according to the cleaning equipment connected to the invasive species regulatory platform. The present invention solves the technical problem of poor efficiency in the control of invasive species in the existing technology. It establishes a species label library through ecological surveys and data mining, uses dependency analysis to generate a species dependency network, combines the chain impact analysis model to quantitatively evaluate the multi-level impact of alien invasive species on the ecosystem, generates chain impact indicators, optimizes the scheduling of cleaning equipment, and achieves the technical effect of efficient control of invasive species. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0012] Figure 1 A flow chart of a data-driven invasive alien species monitoring method provided in an embodiment of the present application;

[0013] Figure 2 A schematic diagram of the structure of a data-driven invasive alien species monitoring system provided in an embodiment of the present application.

[0014] Description of the accompanying drawings: label library establishment module 11, dependency identification module 12, invasive species information acquisition module 13, chain analysis module 14, cleaning module 15. DETAILED DESCRIPTION

[0015] This application provides a data-driven alien invasive species supervision method and supervision system to solve the technical problem of poor efficiency in the existing technology for invasive species management. Through ecological surveys and data mining, a species label library is established, and dependency analysis is used to generate a species dependency network. Combined with the chain impact analysis model, the multi-level impact of alien invasive species on the ecosystem is quantitatively evaluated, chain impact indicators are generated, and the scheduling of cleaning equipment is optimized to achieve the technical effect of efficient management of invasive species.

[0016] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0017] It should be noted that any variations of the terms "include" and "have" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or devices.

[0018] Example 1, as Figure 1 As shown, the present application provides a data-driven method for regulating invasive alien species, the method comprising:

[0019] Step S100: Establish a species tag library for the target regulatory area.

[0020] In the embodiment of the present application, first, through data collection methods, basic information of all species in the target area is collected using channels such as field surveys, remote sensing technology, species databases and literature. Then, species classification and labeling methods are used to classify the collected species data. Specifically, according to the principles of taxonomy, species are classified according to classification levels such as family, genus, and species, and each species is given a clear label. After the labeling is completed, the information of each species is sorted to obtain a species label library for the target regulatory area.

[0021] Step S200: performing dependency identification on the species tag library and outputting a species dependency network.

[0022] In an embodiment of the present application, an ecological literature library is first accessed through an invasive species supervision platform to extract dependency labels between species, such as predation, competition, and mutual benefit. Then, based on these dependency labels, the dependency weights between species are calculated to generate a species dependency matrix that reflects the interspecies dependency strength. Finally, this matrix is ​​used to construct a species dependency network, in which each species serves as a node in the network, and the interspecies dependencies are represented by the weights of the edges.

[0023] Furthermore, in the method provided in the embodiment of the application, outputting the species dependency network further includes:

[0024] The invasive species supervision platform is connected to the ecological literature library through an API interface, and the dependency labels between species are extracted from the ecological literature library, including predation relationship labels, competition relationship labels and mutual benefit relationship labels; the species dependency weights of the species label library are calculated based on the dependency labels, and a species dependency matrix is ​​generated. The species dependency network is constructed using the species dependency matrix, and the nodes of the species dependency network represent species, and the edge weights represent the dependency strength.

[0025] In an embodiment of the present application, the invasive species supervision platform is connected to the ecological literature library through an API interface. The ecological literature library is a resource library containing a large amount of ecological research data and literature, including ecological interaction information between different species. Through the API interface, the invasive species supervision platform automatically extracts the required dependency labels from the literature library. These labels specifically include predation relationships between species (i.e., one species serves as a food source for another species), competitive relationships (i.e., competition between species for resources), and mutually beneficial relationships (i.e., relationships between species that achieve mutual benefit through collaboration).

[0026] Next, the species dependency weights of the species tag library are calculated based on the dependency relationship labels. Specifically, for predation relationships, factors such as predation frequency, predation success rate, and population density ratio are considered. Predation frequency refers to the frequency of predation events, predation success rate is the probability that the predator successfully captures the prey, and the population density ratio reflects the population ratio between the predator and the prey. These data are determined by technical experts. For example, if the predation frequency is 0.8, the predation success rate is 0.7, and the population density ratio is 0.6, the predation relationship weight calculated by predation frequency × predation success rate × population density ratio is 0.336. For competitive relationships, the weight calculation is based on the resource competition ratio and the population density ratio. For example, the resource competition ratio between species A and species B is 0.5, and the population density ratio is 0.7. By multiplying the resource competition ratio × population density ratio, the weight of the competitive relationship is 0.35. For mutually beneficial relationships, the weight calculation depends on the cooperation benefit and the cooperation frequency. For example, the benefits of species A and B are 0.6 and 0.7 respectively, and the cooperation frequency is 0.9. By multiplying the resource competition ratio × population density ratio, the weight of the competitive relationship is 0.35. The obtained weight of the mutually beneficial relationship is 0.585. Finally, all the calculated weights are normalized to ensure that the maximum value is 1, so that the weights are between 0 and 1.

[0027] Once we have the interspecies dependency weights, we organize them into a species dependency matrix, where each element represents the strength of the dependency between two species. Next, we use this matrix to construct a species dependency network. In this network, nodes represent species, and edges represent interspecies dependencies. Edge weights are determined by the interspecies dependency weights.

[0028] Step S300: When the invasive species monitoring platform detects an alien invasive species, information about the invasive species is obtained.

[0029] In an embodiment of the present application, the invasive species monitoring platform monitors species in a target area in real time through sensors and image acquisition (such as drone photography or satellite imagery). By comparing the monitored species information with the existing species data in the species tag library, if the species is not in the tag library, the platform will identify it as an invasive alien species.

[0030] To obtain information on invasive species, we first determine the population size of invasive alien species through simple field surveys and sample collection. To calculate the proportion of resources consumed by invasive alien species relative to native species, we compare the consumption of the same resource by invasive and native species. For example, if native species A consumes 500 liters of water per day and invasive species B consumes 400 liters per day, out of a total water supply of 2,000 liters, we calculate that species B consumes 20% of the total water supply, while species A consumes 25%. By comparing these two ratios, we conclude that invasive species B's share of native species A's resources is 80%, meaning that species B consumes 80% of native species A's resources.

[0031] Through the above process, information on invasive species is obtained.

[0032] Step S400: Download the trained chain impact analysis model in the invasive species supervision platform, perform chain analysis on the invasive species information in combination with the species dependency network, and obtain chain impact indicators. The chain impact indicators are calculated and obtained by direct impact indicators and multiple indirect impact indicators, wherein the direct impact indicator is the degree of impact of the invasive species information directly causing the population reduction in the species tag library, and the indirect impact indicator is the degree of impact of the directly reduced population causing the reduction of other populations.

[0033] In an embodiment of the present application, a trained chain impact analysis model is downloaded from the invasive species supervision platform, and a chain analysis is performed on the invasive species information in combination with the species dependency network to obtain a chain impact index. Specifically, by performing a chain analysis on the invasive species information in combination with the species dependency network, a direct impact index and multiple indirect impact indicators are determined, and then the chain impact index is calculated through the expression of the chain impact index to obtain the chain impact index. Among them, the direct impact index is obtained by calculating the expression of the direct impact index, and the direct impact index is the degree of impact of the invasive species information directly leading to a reduction in the population in the species label library. The indirect impact index is obtained by calculating the expression of the indirect impact index, and is the degree of impact of the directly reduced population on the reduction of other populations.

[0034] Furthermore, in the method provided in the embodiment of the application, the expression for calculating the chain impact index EDI by the chain impact analysis model is:

[0035]

[0036] Where i is the i-th species in the species tag library, I dierct (i) is the direct impact indicator of alien invasive species on species i, is the indirect impact indicator of the alien invasive species on the i-th species on the t-th layer, T is the maximum number of layers of the species dependency network affected by the alien invasive species, which is used to limit the depth of the chain impact analysis, ɑ is the attenuation coefficient, and ΔEDI is the impact error based on random perturbations of environmental factors.

[0037] In an embodiment of the present application, a chain impact index EDI is calculated by a chain impact analysis model. EDI is a chain impact index that quantifies the combined impact of invasive species on all species in the target ecosystem. The direct impact index is calculated by a preset expression of the direct impact index, and the indirect impact index is calculated by a preset expression of the indirect impact index. The maximum number of propagation layers, the attenuation coefficient, and the impact error based on random disturbances of environmental factors of the impact of alien invasive species on the species dependency network are predetermined by technical experts. T is a positive integer greater than 0. The chain impact index is obtained by calculating the expression of the chain impact index EDI.

[0038] Furthermore, in the method provided in the embodiment of the application, the expression for calculating the direct impact index is:

[0039] I dierct (i) = W predation (i)·P inv +W competition (i)R inv ;

[0040] Among them, W predation is the predation weight of invasive alien species on species i, P inv is the population size of the invasive alien species in the invasive species information, W competition is the weight of the proportion of resources occupied by invasive alien species to species i, R inv It is the ratio of resources occupied by alien invasive species in the invasive species information.

[0041] In the embodiment of the present application, the direct impact index is calculated by using the expression of the direct impact index. The direct impact index is used to quantify the degree of impact of the invasive species on the population reduction of the target species i, including two aspects: predation behavior and resource competition.

[0042] In the direct impact indicator expression, the weight of predation by invasive alien species on species i and the weight of the proportion of resource occupation by invasive alien species on species i are determined by technical experts based on historical experience and ecological data. The population size and resource occupation proportion of invasive alien species are extracted from the aforementioned invasive species information. Finally, these parameters are substituted into the direct impact indicator expression and calculated to obtain the direct impact indicator.

[0043] Furthermore, in the method provided in the embodiment of the application, the expression for calculating the indirect impact index is:

[0044]

[0045] Among them, W interaction (i, k) is the interaction weight between species i and species k in the species dependency network, i is the target species being analyzed for indirect impact, k is the species that has a dependency relationship with species i, and t is the current level of indirect impact. is the indirect impact indicator of species k in the t-1 layer.

[0046] In the embodiment of the present application, when calculating using the expression of the indirect impact index, the interaction weight between species i and species k in the species dependency network is first determined. This weight is the edge weight between the two species in the species dependency network. i is the target species being analyzed for indirect impact, and k is the species that has a dependency relationship with species i. The indirect impact index represents the indirect impact of species k on other species in the previous layer (t-1 layer), and its source is determined by recursive calculation. Wherein, t is less than or equal to T.

[0047] The indirect impact index is obtained by substituting each coefficient into the expression of the indirect impact index for calculation.

[0048] Step S500: uploading the chain impact indicators to the invasive species supervision platform, and performing invasive alien species cleaning according to the cleaning equipment connected to the invasive species supervision platform.

[0049] In this embodiment of the present application, the chain impact index is first uploaded to the invasive species monitoring platform. The invasive species monitoring platform then determines the required number of cleaning devices based on the numerical value of the chain impact index and according to preset rules. Specifically, different chain impact indexes correspond to different numbers of cleaning devices, and this rule is pre-set by technical experts. After determining the number of cleaning devices, the cleaning devices are evenly distributed within the target monitoring area based on its geographic information, such as area, to automatically perform cleaning operations on invasive alien species.

[0050] Furthermore, the method provided in the application embodiment also includes:

[0051] Acquire regional attributes of the target regulatory area, and mark the protected species in the target regulatory area with the regional attributes; identify the protected species in the species tag library and configure the weights of protection importance, generate a species protection relationship matrix, and update the species dependency network through the species protection relationship matrix.

[0052] In this embodiment of the present application, the regional attributes of the pre-set target regulatory area are first obtained. The regional attributes can be categories such as livestock breeding areas, wildlife reserves, and water source protection areas. Next, the regional attributes are used to mark the protected species in the target regulatory area. That is, technical experts mark the animals and plants in the target regulatory area based on the regional attributes to determine the protected species. For example, in a wildlife reserve, endangered wildlife is selected as protected species.

[0053] The protected species in the species tag library are then identified and protected importance weights are configured for them. This process includes obtaining a pre-set protection importance coefficient (for example, 1.5), which quantifies the priority and importance of the species in ecological protection. The protection importance coefficient is then used to adjust the original relationship weights between the protected species and the dependent species. In the species dependency network, the weight configuration is completed by multiplying the protection importance coefficient with the original weight of the edge related to the protected species. For example, if the original weight is 0.4 and the coefficient is 1.5, the updated weight is 0.6. The updated weights are used to generate a species protection relationship matrix, in which the rows and columns represent the protected species and their dependent species, respectively, and the values ​​are the updated weights.

[0054] Finally, the species dependency network is dynamically updated using the species conservation relationship matrix. Specifically, the updated weights of protected species and their dependent species are used to replace the original weights in the species dependency network, forming a new species dependency network.

[0055] Furthermore, in the method provided in the embodiment of the application, the cleaning equipment connected to the invasive species monitoring platform is used to clean up invasive alien species, and further includes:

[0056] A mapping relationship between chain impact indicator samples and cleaning equipment quantity samples is established, and the cleaning effect evaluation is performed based on the mapping relationship to obtain cleaning effect indicator samples corresponding to the chain impact indicator samples and the cleaning equipment quantity samples; the invasive species supervision platform maps and analyzes the chain impact indicators according to the preset cleaning effect indicator samples, outputs the corresponding cleaning equipment quantity, and controls the cleaning equipment quantity to clean up alien invasive species.

[0057] In the embodiment of the present application, first, a chain impact index sample and a cleaning device quantity sample are obtained from a historical database and a mapping relationship between the chain impact index sample and the cleaning device quantity sample is established. For example, when the chain impact index is 100, one device is used, and when the chain impact index is 200, two devices are used.

[0058] Next, based on the chain impact index sample and the cleaning equipment quantity sample, the cleaning effect evaluation is carried out to determine the cleaning effect index sample. The cleaning effect index sample is used to quantify the efficiency or effect of the cleaning task, such as the proportion of chain impact indicators reduced. Specifically, the evaluation process calculates the cleaning efficiency by comparing the initial value of the chain impact index with the remaining value after cleaning, combined with the number of equipment used. For example, when the chain impact index is 150, 2 devices are used, and the index is reduced to 50 after cleaning. The cleaning efficiency is calculated to be (150-50) / 150=67%. When the chain impact index is 200, 3 devices are used, and the index is reduced to 60 after cleaning, and the cleaning efficiency is 70%. Through this process, the cleaning effect index sample corresponding to the chain impact index sample and the cleaning equipment quantity sample is obtained.

[0059] Next, the invasive species monitoring platform maps the chain impact indicators to the pre-set cleanup effectiveness indicator sample. Specifically, it obtains a pre-set cleanup effectiveness indicator sample, such as 70%, and obtains the chain impact indicator at that point. These two data points are compared with the previously established mapping relationship to determine the number of cleanup equipment.

[0060] Finally, based on the determined number of cleaning equipment, these cleaning equipment will be evenly distributed according to the size of the target regulatory area to carry out the cleaning of alien invasive species.

[0061] Furthermore, in the method provided in the embodiment of the application, after updating the species dependency network, the method further includes:

[0062] A chain analysis is performed on the invasive species information in combination with the species dependency network to obtain a chain impact path, which is uploaded to the invasive species supervision platform, and a determination is made as to whether the chain impact path includes protected species. If protected species are included, an additional protection and cleaning task is generated; while cleaning the invasive alien species using the cleaning equipment, the protected species are protected according to the protection and cleaning task.

[0063] In an embodiment of the present application, a chain analysis is first performed on the invasive species information in combination with the species dependency network. Specifically, the chain analysis is carried out using the maximum number of layers of propagation of alien invasive species on the species dependency network. The maximum number of layers of propagation refers to the hierarchical depth of the impact of invasive species on other species. For example, starting from the invasive species, it directly affects the species in the first layer, and indirectly affects the species in the second layer through the first layer, and so on, until the preset maximum number of layers is reached. In the chain analysis, starting from the invasive species node, the weight of each edge in the network is propagated in sequence, and the chain impact path is finally determined.

[0064] The chain impact pathway is then uploaded to the invasive species monitoring platform. The monitoring platform uses a protected species database to analyze the chain impact pathway and determine whether any protected species are involved. If a protected species is included in the pathway, an additional protection and cleanup task is generated. This involves sending an alert to relevant personnel, who then take measures to protect the protected species. For example, on-site inspections can assess the actual threat situation and deploy temporary protection facilities.

[0065] Finally, while cleaning the invasive alien species through cleaning equipment, the protected species are protected according to the protection and cleaning tasks. That is, the staff will carry out on-site protection of the protected species according to the actual situation.

[0066] In the embodiments of the present application, in summary, the embodiments of the present application have at least the following technical effects:

[0067] This application establishes a species tag library for the target regulatory area; performs dependency identification on the species tag library and outputs a species dependency network; when the invasive species regulatory platform monitors an alien invasive species, obtains the invasive species information; downloads a trained chain impact analysis model to the invasive species regulatory platform, performs a chain analysis on the invasive species information in combination with the species dependency network, and obtains chain impact indicators, wherein the chain impact indicators include direct impact indicators and multiple indirect impact indicators, wherein the direct impact indicator is the degree of impact of the invasive species information directly leading to a population reduction in the species tag library, and the indirect impact indicator is the degree of impact of the directly reduced population leading to a reduction in other populations; the chain impact indicator is uploaded to the invasive species regulatory platform, and the alien invasive species are cleaned up according to the cleaning equipment connected to the invasive species regulatory platform. The present invention solves the technical problem of poor efficiency in the control of invasive species in the existing technology. It establishes a species label library through ecological surveys and data mining, uses dependency analysis to generate a species dependency network, combines the chain impact analysis model to quantitatively evaluate the multi-level impact of alien invasive species on the ecosystem, generates chain impact indicators, optimizes the scheduling of cleaning equipment, and achieves the technical effect of efficient control of invasive species.

[0068] Example 2, based on the same inventive concept as the data-driven alien invasive species supervision method in the above embodiment, Figure 2 As shown, the present application provides a data-driven alien invasive species monitoring system. The system and method embodiments in the present application are based on the same inventive concept. The system includes:

[0069] The tag library establishment module 11 is used to establish a species tag library for the target supervision area; the dependency identification module 12 is used to identify the dependency of the species tag library and output the species dependency network; the invasive species information acquisition module 13 is used to obtain invasive species information when the invasive species supervision platform monitors alien invasive species; the chain analysis module 14 is used to download the trained chain impact analysis model in the invasive species supervision platform, and combine the species The dependency network performs a chain analysis on the invasive species information to obtain a chain impact index, which is obtained by calculating a direct impact index and multiple indirect impact indicators, wherein the direct impact index is the degree of impact of the invasive species information directly causing a population reduction in the species tag library, and the indirect impact index is the degree of impact of the directly reduced population causing a reduction in other populations; a cleaning module 15, wherein the cleaning module 15 is used to upload the chain impact index to the invasive species supervision platform, and perform alien invasive species cleaning according to the cleaning equipment connected to the invasive species supervision platform.

[0070] Furthermore, the system is also used to implement the following functions:

[0071] The invasive species supervision platform is connected to the ecological literature library through an API interface, and the dependency labels between species are extracted from the ecological literature library, including predation relationship labels, competition relationship labels and mutual benefit relationship labels; the species dependency weights of the species label library are calculated based on the dependency labels, and a species dependency matrix is ​​generated. The species dependency network is constructed using the species dependency matrix, and the nodes of the species dependency network represent species, and the edge weights represent the dependency strength.

[0072] Furthermore, the system is also used to implement the following functions:

[0073]

[0074] Where i is the i-th species in the species tag library, I dierct (i) is the direct impact indicator of alien invasive species on species i, is the indirect impact indicator of the alien invasive species on the i-th species on the t-th layer, T is the maximum number of layers of the species dependency network affected by the alien invasive species, which is used to limit the depth of the chain impact analysis, α is the attenuation coefficient, and ΔEDI is the impact error based on random perturbations of environmental factors.

[0075] Furthermore, the system is also used to implement the following functions:

[0076] I dierct (i) = Wpredation (i)·P inv +W competition (i)R inv ;

[0077] Among them, W predation is the predation weight of invasive alien species on species i, P inv is the population size of the invasive alien species in the invasive species information, W competition is the weight of the proportion of resources occupied by invasive alien species to species i, R inv It is the ratio of resources occupied by alien invasive species in the invasive species information.

[0078] Furthermore, the system is also used to implement the following functions:

[0079]

[0080] Among them, W interaction (i, k) is the interaction weight between species i and species k in the species dependency network, i is the target species being analyzed for indirect impact, k is the species that has a dependency relationship with species i, and t is the current level of indirect impact. is the indirect impact indicator of species k in the t-1 layer.

[0081] Furthermore, the system is also used to implement the following functions:

[0082] Acquire regional attributes of the target regulatory area, and mark the protected species in the target regulatory area with the regional attributes; identify the protected species in the species tag library and configure the weights of protection importance, generate a species protection relationship matrix, and update the species dependency network through the species protection relationship matrix.

[0083] Furthermore, the system is also used to implement the following functions:

[0084] A mapping relationship between chain impact indicator samples and cleaning equipment quantity samples is established, and the cleaning effect evaluation is performed based on the mapping relationship to obtain cleaning effect indicator samples corresponding to the chain impact indicator samples and the cleaning equipment quantity samples; the invasive species supervision platform maps and analyzes the chain impact indicators according to the preset cleaning effect indicator samples, outputs the corresponding cleaning equipment quantity, and controls the cleaning equipment quantity to clean up alien invasive species.

[0085] Furthermore, the system is also used to implement the following functions:

[0086] A chain analysis is performed on the invasive species information in combination with the species dependency network to obtain a chain impact path, which is uploaded to the invasive species supervision platform, and a determination is made as to whether the chain impact path includes protected species. If protected species are included, an additional protection and cleaning task is generated; while cleaning the invasive alien species using the cleaning equipment, the protected species are protected according to the protection and cleaning task.

[0087] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential sequence shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0088] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

[0089] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. A data-driven approach to invasive alien species monitoring, characterized by: The method comprises: Establish a species tag library for target regulatory areas; Perform dependency identification on the species tag library and output a species dependency network; When the invasive species monitoring platform detects alien invasive species, it obtains invasive species information; Downloading a trained chain impact analysis model from the invasive species monitoring platform, performing a chain analysis on the invasive species information in combination with the species dependency network, and obtaining a chain impact index, wherein the chain impact index is calculated and obtained by a direct impact index and a plurality of indirect impact indicators, wherein the direct impact index is the degree of impact of the invasive species information directly causing a population reduction in the species tag library, and the indirect impact index is the degree of impact of the directly reduced population causing a reduction in other populations; Uploading the chain impact indicators to the invasive species supervision platform, and performing invasive alien species cleaning using cleaning equipment connected to the invasive species supervision platform; The method of outputting the species dependency network includes: The invasive species monitoring platform is connected to the ecological literature library through an API interface, and dependency relationship labels between species are extracted based on the ecological literature library, including predation relationship labels, competition relationship labels, and mutual benefit relationship labels; Calculating species dependency weights of the species tag library according to the dependency labels to generate a species dependency matrix, and constructing the species dependency network using the species dependency matrix, wherein nodes of the species dependency network represent species and edge weights represent dependency strengths; The chain impact analysis model calculates the chain impact index EDI as follows: Where i is the i-th species in the species tag library, I dierct (i) is the direct impact indicator of alien invasive species on species i, is the indirect impact indicator of the alien invasive species on the i-th species on the t-th layer, T is the maximum number of layers of the species dependency network affected by the alien invasive species, which is used to limit the depth of the chain impact analysis, α is the attenuation coefficient, and ΔEDI is the impact error based on random perturbations of environmental factors.

2. The method according to claim 1, wherein The expression for calculating the direct impact index is: I dierct (i)=W predation (i)·P inv +W competition (i)R inv ; Among them, W predation is the predation weight of invasive alien species on species i, P inv is the population size of the invasive alien species in the invasive species information, W competition is the weight of the proportion of resources occupied by invasive alien species to species i, R inv It is the ratio of resources occupied by alien invasive species in the invasive species information.

3. The method according to claim 1, wherein The expression for calculating the indirect impact index is: Among them, W interaction (i, k) is the interaction weight between species i and species k in the species dependency network, i is the target species being analyzed for indirect impact, k is the species that has a dependency relationship with species i, and t is the current level of indirect impact. is the indirect impact indicator of species k in the t-1 layer.

4. The method according to claim 1, wherein The method comprises: Acquiring regional attributes of a target regulatory area, and marking protected species in the target regulatory area with the regional attributes; Identify protected species in the species tag library and configure weights of protection importance to generate a species protection relationship matrix, and update the species dependency network through the species protection relationship matrix.

5. The method according to claim 1, wherein Cleaning up alien invasive species using cleaning equipment connected to the invasive species monitoring platform, including: Establishing a mapping relationship between a chain impact indicator sample and a cleaning equipment quantity sample, and performing a cleaning effect evaluation based on the mapping relationship to obtain a cleaning effect indicator sample corresponding to the chain impact indicator sample and the cleaning equipment quantity sample; The invasive species supervision platform maps and analyzes the chain impact indicators according to the preset cleaning effect indicator samples, outputs the corresponding number of cleaning equipment, and controls the number of cleaning equipment to clean up alien invasive species.

6. The method according to claim 5, wherein After updating the species dependency network, the method further includes: Performing a chain analysis on the invasive species information in combination with the species dependency network to obtain a chain impact path, uploading the chain impact path to the invasive species supervision platform, and determining whether the chain impact path includes protected species. If so, additional protection and cleanup tasks are generated; While the cleaning equipment is used to clean up alien invasive species, protected species are protected according to the protection and cleaning tasks.

7. A data-driven invasive alien species monitoring system, characterized by: The system comprises: A label library establishment module, wherein the label library establishment module is used to establish a species label library for a target regulatory area; A dependency identification module, configured to identify dependencies on the species tag library and output a species dependency network; An invasive species information acquisition module, which is used to obtain invasive species information when the invasive species monitoring platform monitors alien invasive species; A chain analysis module, the chain analysis module is used to download a trained chain impact analysis model from the invasive species supervision platform, perform chain analysis on the invasive species information in combination with the species dependency network, and obtain a chain impact indicator, wherein the chain impact indicator is calculated and obtained by a direct impact indicator and a plurality of indirect impact indicators, wherein the direct impact indicator is the degree of impact of the invasive species information directly causing a population reduction in the species tag library, and the indirect impact indicator is the degree of impact of the directly reduced population causing a reduction in other populations; a cleaning module, the cleaning module being used to upload the chain impact indicators to the invasive species supervision platform and to perform invasive alien species cleaning according to cleaning equipment connected to the invasive species supervision platform; The method of outputting the species dependency network includes: The invasive species monitoring platform is connected to the ecological literature library through an API interface, and dependency relationship labels between species are extracted based on the ecological literature library, including predation relationship labels, competition relationship labels, and mutual benefit relationship labels; Calculating species dependency weights of the species tag library according to the dependency labels to generate a species dependency matrix, and constructing the species dependency network using the species dependency matrix, wherein nodes of the species dependency network represent species and edge weights represent dependency strengths; The chain impact analysis model calculates the chain impact index EDI as follows: Where i is the i-th species in the species tag library, I dierct (i) is the direct impact indicator of alien invasive species on species i, is the indirect impact indicator of the alien invasive species on the i-th species on the t-th layer, T is the maximum number of layers of the species dependency network affected by the alien invasive species, which is used to limit the depth of the chain impact analysis, α is the attenuation coefficient, and ΔEDI is the impact error based on random perturbations of environmental factors.

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