Intelligent monitoring and alarm method and device for invasion of foreign harmful organisms

Abstract

The present invention provides an intelligent monitoring and alarming method and device for invasion of foreign harmful organisms, belonging to the technical field of signal devices, and the method includes: intelligently monitoring the invasion information of foreign harmful organisms; determining the alarm area and making corresponding alarms according to the invasion information; obtaining the invasion prevention and control information of the alarm area; determining the early warning area and making corresponding early warnings according to the invasion prevention and control information. An intelligent monitoring and alarming method and device for invasion of foreign harmful organisms of the present invention determines the alarm area requiring immediate prevention and control and makes an alarm based on the invasion information of foreign harmful organisms monitored intelligently; obtains the invasion prevention and control information of the alarm area, determines the early warning area that has not been invaded but has the risk of being invaded and for which preventive measures need to be taken in advance according to the invasion prevention and control information, and makes corresponding early warnings to the foreign harmful organism invasion prevention and control personnel in the early warning area, thereby improving the timeliness of alarm and early warning of foreign harmful organism invasion.

Description

Technical Field

[0001] The present invention relates to the technical field of signal devices, and in particular to an intelligent monitoring and alarming method and device for invasion of foreign harmful organisms. Background Art

[0002] The intelligent monitoring and alarm system for the invasion of foreign pests is a comprehensive system that uses modern technology to identify, monitor and respond to the invasion of foreign pests. Through the intelligent monitoring and alarm system, the invasion of foreign pests can be managed and controlled more effectively, reducing its negative impact on the environment, economy and society.

[0003] The invention patent with application number: CN202110717196.6 discloses a perimeter area intrusion detection management system and detection method, including several active millimeter wave radars, several passive infrared signal receivers, atmospheric temperature measurement modules, data processing modules, wireless transmission modules, video acquisition modules, local sound and light alarm modules and data centers. The data processing module uses geometric algorithms to calculate the precise position of each intruding object in the perimeter area based on the preset perimeter area boundary information and combined with the information provided by multiple active millimeter wave radars; performs biological detection according to built-in rules and dynamic thresholds to determine whether each intruding object is a biological object; and determines the motion trend analysis of each intruding object based on the gradient prediction algorithm. The above invention has the ability to comprehensively manage and dispose of multi-source data including biological senses; the motion trend analysis of intruding objects is performed through prediction algorithms, and hierarchical classification alarms can be realized based on relevant information.

[0004] However, the above-mentioned prior art only warns the area invaded by invasive organisms. However, when the invasive organisms are not properly prevented and controlled, there are risks in the areas outside the area corresponding to the boundary of the perimeter area (for example: the bordering area of ​​the area corresponding to the boundary of the perimeter area). Therefore, the above-mentioned prior art has the problem of untimely warning.

[0005] In view of this, there is an urgent need for an intelligent monitoring and alarm method and device for invasion of foreign harmful organisms to at least solve the above-mentioned shortcomings. Summary of the invention

[0006] One of the purposes of the present invention is to provide an intelligent monitoring and alarm method and device for invasion of foreign pests. Based on the invasion information of foreign pests monitored intelligently, an alarm area that needs immediate prevention and control is determined and an alarm is issued; invasion prevention and control information of the alarm area is obtained, and according to the invasion prevention and control information, a warning area that has not been invaded but is at risk of being invaded and for which preventive measures need to be taken in advance is determined; corresponding warnings are issued to foreign pest invasion prevention and control personnel in the warning area, thereby improving the timeliness of alarms and warnings of foreign pest invasions.

[0007] An intelligent monitoring and alarm method for invasion of foreign harmful organisms provided by an embodiment of the present invention includes:

[0008] Intelligent monitoring of invasion information of foreign pests;

[0009] According to the intrusion information, determine the alarm area and issue corresponding alarms;

[0010] Obtain intrusion prevention and control information of the alarm area;

[0011] Based on the intrusion prevention and control information, determine the warning area and issue corresponding warnings.

[0012] Preferably, intelligent monitoring of invasion information of foreign harmful organisms includes:

[0013] Based on remote sensing technology, the first invasion sub-information is obtained through drones;

[0014] Based on environmental DNA technology, monitor the second invasive species information in water bodies;

[0015] The first intrusion sub-information and the second intrusion sub-information are taken together as the intrusion information.

[0016] Preferably, obtaining the first intrusion sub-information through a drone based on remote sensing technology includes:

[0017] Acquire remote sensing images in the target boundary area through UAV;

[0018] Analyze the remote sensing image and obtain the first invasion sub-information.

[0019] Preferably, acquiring remote sensing images in the target boundary area by using a drone includes:

[0020] Obtaining the first boundary of the biocontainment area;

[0021] Get the second border of the target country;

[0022] Perform boundary matching on the first boundary and the second boundary to determine a third boundary that matches;

[0023] Obtain the adjacent area between the target country and the third border and use it as the target border area;

[0024] Obtain the flight capabilities of drones within the target boundary area;

[0025] Determine the flight control strategy based on flight capabilities;

[0026] According to the flight control strategy, the UAV is controlled to acquire remote sensing images in the target boundary area.

[0027] Preferably, the flight control strategy is determined according to the flight capability, including:

[0028] Analyze flight capabilities and obtain flight distance and endurance points;

[0029] Draw the flight coverage route of the flight distance from the endurance point;

[0030] Determine the best flight coverage route combination strategy based on the distribution information of the flight coverage routes;

[0031] According to the optimal flight coverage route combination strategy, determine the target flight coverage route of the drone corresponding to each endurance point;

[0032] Control the drone to fly based on the corresponding target flight coverage route;

[0033] Among them, according to the distribution information of the flight coverage routes, the best flight coverage route combination strategy is determined, including:

[0034] Determine the pre-selected flight coverage route combination strategy based on the distribution information;

[0035] Obtain flight coverage route combination strategy evaluation items, and determine the evaluation weights of the flight coverage route combination strategy evaluation items; the flight coverage route combination strategy evaluation items include: the overlap length of the flight coverage route and the missing coverage length of the flight coverage route;

[0036] According to the evaluation results and evaluation weights of the flight coverage route combination strategy evaluation items, the preferred value is determined, and the corresponding flight coverage route combination strategy with the largest preferred value is taken as the optimal flight coverage route combination strategy.

[0037] Preferably, based on environmental DNA technology, monitoring the second invasion sub-information in water bodies includes:

[0038] Obtain sample water;

[0039] Based on environmental DNA technology, the second invading sub-item information is determined according to the sample water body.

[0040] Preferably, according to the intrusion information, determining the alarm area and making a corresponding alarm includes:

[0041] Determine the alarm area based on the intrusion information and the preset area division library;

[0042] Extract template and intrusion information from alarm information to determine alarm information;

[0043] Connect to the regional node of the alarm area and send alarm information to the regional node.

[0044] Preferably, according to the intrusion prevention and control information, the warning area is determined and a corresponding warning is issued, including:

[0045] Extracting the first prevention and control feature of the intrusion prevention and control information;

[0046] Determine a standard prevention and control feature sequence according to the intrusion information; the standard prevention and control feature sequence includes a plurality of second prevention and control features, and the order of the second prevention and control features in the standard prevention and control feature sequence is determined according to the order of the ideal execution time of the second prevention and control features;

[0047] Determine the third prevention and control feature according to the first prevention and control feature and the standard prevention and control feature sequence; the ideal execution time of the third prevention and control feature is consistent with the extraction time of the first prevention and control feature;

[0048] Perform feature matching on the first prevention and control feature and the third prevention and control feature, determine the third prevention and control feature that does not match the match, and use it as the fourth prevention and control feature;

[0049] Obtaining the preset ideal biological distribution corresponding to the fourth prevention and control characteristic;

[0050] Obtaining real-time biological distribution of the first prevention and control feature corresponding to the fourth prevention and control feature;

[0051] Determine the control direction information based on the ideal biological distribution and real-time biological distribution;

[0052] Perform feature matching on the first prevention and control feature extracted after the extraction time of the first prevention and control feature corresponding to the fourth prevention and control feature and the fifth prevention and control feature of the control direction information to determine whether there is a feature match;

[0053] If there is no feature match, the warning area is determined based on the corresponding control direction information.

[0054] Preferably, if there is no feature match, the warning area is determined according to the corresponding control direction information, including:

[0055] If there is no feature match, a feature extraction template is determined based on the preset warning area, and the warning area is determined based on the corresponding control direction information; the warning area determination features include: distribution differences between ideal biological distribution and real-time biological distribution;

[0056] Get the migration model;

[0057] Determine the migration results based on the characteristics and migration model of the warning area;

[0058] Determine the warning area based on the migration results.

[0059] Preferably, obtaining the migration model includes:

[0060] Determine the characteristics of the warning area and obtain the migration records of the target organisms;

[0061] Discussion notes on obtaining migration records;

[0062] Parse the discussion record and obtain the discussion items on the record timeline;

[0063] Match the discussion item from beginning to end with a first keyword of a preset first keyword type, and determine a matching second keyword;

[0064] Matching the discussion item after the second keyword with a third keyword of the preset second keyword type to determine a fourth keyword that matches the item;

[0065] Obtaining a preset first target number of discussion items before and after a fourth keyword, and retrieving the question word;

[0066] If the search is successful, the query result is obtained according to the second target number of discussion items preset after the query word;

[0067] Filter the fourth keyword according to the query result to obtain the fifth keyword;

[0068] According to the second keyword and the fifth keyword, key information of the migration description corresponding to the discussion record is obtained;

[0069] Train the migration model based on the key information of migration description.

[0070] An intelligent monitoring and alarm device for invasion of foreign harmful organisms provided by an embodiment of the present invention comprises:

[0071] Invasion information intelligent monitoring subsystem, used to intelligently monitor the invasion information of foreign harmful organisms;

[0072] The alarm subsystem is used to determine the alarm area and issue corresponding alarms based on the intrusion information;

[0073] Intrusion prevention and control information acquisition subsystem, used to obtain intrusion prevention and control information of the alarm area;

[0074] The early warning subsystem is used to determine the early warning area and issue corresponding early warnings based on intrusion prevention and control information.

[0075] The beneficial effects of the present invention are:

[0076] The present invention determines the alarm area that needs immediate prevention and control and issues an alarm based on the invasion information of foreign harmful organisms monitored intelligently; obtains the invasion prevention and control information of the alarm area, determines the early warning area that has not been invaded but is at risk of being invaded and needs to take preventive measures in advance according to the invasion prevention and control information, and issues corresponding early warnings to the foreign harmful organism invasion prevention and control personnel in the early warning area, thereby improving the timeliness of the alarm and early warning of the invasion of foreign harmful organisms.

[0077] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in the present application documents.

[0078] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0080] Figure 1 A schematic diagram of an intelligent monitoring and alarm method for invasion of foreign harmful organisms in an embodiment of the present invention;

[0081] Figure 2 Schematic diagram of an intelligent monitoring and alarm device for invasion of foreign harmful organisms in an embodiment of the present invention. DETAILED DESCRIPTION

[0082] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0083] The embodiment of the present invention provides an intelligent monitoring and alarm method for invasion of foreign harmful organisms, such as Figure 1 As shown, including:

[0084] Step 1: Intelligently monitor the invasion information of foreign pests; wherein the invasion information is: data on the invasion of foreign pests obtained through monitoring, such as: the type, quantity, invasion time and location of foreign pests;

[0085] Step 2: According to the intrusion information, determine the alarm area and issue a corresponding alarm; wherein the alarm area is: an area determined according to the intrusion information where immediate measures need to be taken;

[0086] Step 3: Obtain intrusion prevention and control information of the alarm area; wherein the intrusion prevention and control information is: information on intervention measures taken by the alarm area against invasion of alien organisms, such as: information on strategies, measures and resource calls;

[0087] Step 4: According to the intrusion prevention and control information, determine the warning area and issue a corresponding warning. The warning area is: an area or region that has not been invaded but is at risk of being invaded and needs to take preventive measures in advance according to the intrusion prevention and control information.

[0088] The working principle and beneficial effects of the above technical solution are:

[0089] The present invention determines the alarm area that needs immediate prevention and control and issues an alarm based on the invasion information of foreign harmful organisms monitored intelligently; obtains the invasion prevention and control information of the alarm area, determines the early warning area that has not been invaded but is at risk of being invaded and needs to take preventive measures in advance according to the invasion prevention and control information, and issues corresponding early warnings to the foreign harmful organism invasion prevention and control personnel in the early warning area, thereby improving the timeliness of the alarm and early warning of the invasion of foreign harmful organisms.

[0090] In one embodiment, intelligent monitoring of invasion information of foreign harmful organisms includes:

[0091] Based on remote sensing technology, the first invasion sub-information is obtained through the drone; wherein the first invasion sub-information is: information about the invasion of foreign pests obtained through remote sensing technology and the drone, such as: remote sensing images of the invasion of foreign pests;

[0092] Based on environmental DNA technology, the second invasion sub-information in the water body is monitored; wherein the second invasion sub-information is: information on foreign harmful organisms monitored in the water body by environmental DNA technology, such as: DNA evidence of golden apple snails;

[0093] The first intrusion sub-information and the second intrusion sub-information are taken together as the intrusion information.

[0094] The working principle and beneficial effects of the above technical solution are:

[0095] The present invention obtains first invasion sub-information based on remote sensing technology and unmanned aerial vehicles; obtains second invasion sub-information based on environmental DNA technology; and uses the first invasion sub-information and the second invasion sub-information together as invasion information, thereby improving the comprehensiveness of the acquisition of invasion information.

[0096] In one embodiment, obtaining the first intrusion sub-information through a drone based on remote sensing technology includes:

[0097] Acquiring remote sensing images in a target boundary area by using a drone; wherein the target boundary area is: the boundary of a geographical area that needs attention and monitoring;

[0098] Analyze the remote sensing image and obtain the first invasion sub-information.

[0099] The working principle and beneficial effects of the above technical solution are:

[0100] The present invention introduces a target boundary area, obtains a remote sensing image in the target boundary area through a drone, and then analyzes the remote sensing image to obtain the first intrusion sub-information, thereby improving the efficiency of obtaining the first intrusion sub-information.

[0101] In one embodiment, acquiring remote sensing images in a target boundary area by using a drone includes:

[0102] Obtaining a first boundary of a biological isolation area; wherein the biological isolation area is: an area forming species isolation; the first boundary is: a boundary line of the biological isolation area;

[0103] Obtain the second boundary of the target country; the target country is: a country that needs to conduct monitoring and alarm of invasion of foreign pests; the second boundary is: the border line of the target country;

[0104] Perform boundary matching on the first boundary and the second boundary to determine a third boundary that matches; wherein the third boundary is: a boundary where the first boundary and the second boundary overlap;

[0105] Obtain the adjacent area between the target country and the third border and use it as the target border area;

[0106] Obtain the flight capability of the UAV within the target boundary area; wherein the flight capability is: the performance parameters of the UAV when performing a flight mission;

[0107] Determine the flight control strategy based on the flight capability; the flight control strategy is: a flight plan and control method formulated based on the flight capability of the UAV and the characteristics of the target boundary area;

[0108] According to the flight control strategy, the UAV is controlled to acquire remote sensing images in the target boundary area.

[0109] The working principle and beneficial effects of the above technical solution are:

[0110] The present invention determines a first boundary of a biological isolation area and a second boundary of a target country, matches the first boundary and the second boundary, and determines a third boundary. According to the target country and the third boundary, a target boundary area is determined. The flight capability of a drone in the target boundary area is introduced, and a flight control strategy is determined according to the flight capability; based on the flight control strategy, the drone is controlled to acquire remote sensing images in the target boundary area, thereby improving the comprehensiveness of remote sensing image acquisition.

[0111] In one embodiment, determining a flight control strategy based on the flight capability includes:

[0112] Analyze flight capabilities and obtain flight distance and endurance points; the flight distance is: the maximum distance the drone can fly when fully charged; the endurance point is: the charging position of the drone;

[0113] A flight coverage route of the flight distance is drawn from the endurance point; wherein, the flight coverage route of the flight distance is drawn from the endurance point: a coverage route of a straight line starting from the endurance point and having a length of the flight distance;

[0114] Determine the best flight coverage route combination strategy based on the distribution information of the flight coverage routes; wherein the distribution information is: a set of flight coverage route combinations obtained after each endurance point selects a flight coverage route;

[0115] According to the optimal flight coverage route combination strategy, determine the target flight coverage route of the drone corresponding to each endurance point;

[0116] Control the drone to fly based on the corresponding target flight coverage route;

[0117] Among them, according to the distribution information of the flight coverage routes, the best flight coverage route combination strategy is determined, including:

[0118] Determine a pre-selected flight coverage route combination strategy based on the distribution information; wherein the pre-selected flight coverage route combination strategy is: a route combination in a set of flight coverage route combinations obtained after each endurance point selects a flight coverage route;

[0119] Obtain flight coverage route combination strategy evaluation items, and determine the evaluation weights of the flight coverage route combination strategy evaluation items; the flight coverage route combination strategy evaluation items include: the overlap length of the flight coverage route and the missing coverage length of the flight coverage route; wherein the evaluation weight of the overlap length of the flight coverage route is less than the evaluation weight of the missing coverage length of the flight coverage route, and the sum of the two is 1;

[0120] According to the evaluation results and evaluation weights of the flight coverage route combination strategy evaluation items, the preferred value is determined, and the corresponding flight coverage route combination strategy with the largest preferred value is taken as the optimal flight coverage route combination strategy. The evaluation result is: the evaluation value corresponding to the flight coverage route combination strategy evaluation item, the higher the evaluation value, the more preferred the corresponding pre-selected flight coverage route combination strategy, and the evaluation value is inversely proportional to the overlap length of the flight coverage route, and the evaluation value is inversely proportional to the missing coverage length of the flight coverage route.

[0121] The working principle and beneficial effects of the above technical solution are:

[0122] The present invention draws a flight coverage route of a flight distance from an endurance point, and determines a plurality of preselected flight coverage route combination strategies; uses the overlapping length of the flight coverage routes and the missing coverage length of the flight coverage routes as flight coverage route combination strategy evaluation items, determines the evaluation value and evaluation weight of the flight coverage route combination strategy evaluation items, determines the preferred value based on the evaluation result and the evaluation weight, uses the corresponding flight coverage route combination strategy with the largest preferred value as the optimal flight coverage route combination strategy, and improves the suitability of the formulation of the optimal flight coverage route combination strategy; controls the UAV to fly based on the target flight coverage route corresponding to the optimal flight coverage route combination strategy, and improves the suitability of the UAV control.

[0123] In one embodiment, based on environmental DNA technology, monitoring the second invasion sub-information in the water body includes:

[0124] Obtaining a sample water body; wherein the sample water body is: a sample water body for environmental DNA testing;

[0125] Based on the environmental DNA technology, the second invasion sub-information is determined according to the sample water body. The second invasion sub-information is: the invasion information of foreign harmful organisms obtained by analyzing the environmental DNA information of the sample water body, such as: what kind of foreign organisms invade what kind of water area.

[0126] The working principle and beneficial effects of the above technical solution are:

[0127] The present invention obtains sample water, introduces environmental DNA technology, and detects the sample water to obtain second invading sub-information, thereby improving the rationality of the second invading sub-information detection.

[0128] In one embodiment, according to the intrusion information, determining the alarm area and issuing a corresponding alarm includes:

[0129] Determine the alarm area according to the intrusion information and the preset area division database; wherein the preset area division database is: a database that divides different geographical areas according to the jurisdiction relationship of different jurisdiction personnel;

[0130] Determine the alarm information according to the alarm information extraction template and the intrusion information; wherein the alarm information extraction template is: a standard format or framework for generating standard alarm information by comparing the intrusion information;

[0131] Connect to the regional node of the alarm area and send alarm information to the regional node. The regional node is: the communication node of the person in charge of the alarm area.

[0132] The working principle and beneficial effects of the above technical solution are:

[0133] The present invention determines the alarm area corresponding to the intrusion information, introduces an alarm information extraction template, determines standard alarm information, connects with the regional node of the alarm area and sends the alarm information, thereby improving the accuracy of the alarm.

[0134] In one embodiment, based on the intrusion prevention and control information, determining the warning area and issuing corresponding warnings include:

[0135] Extracting the first prevention and control feature of the intrusion prevention and control information; wherein the first prevention and control feature is: a characteristic representation of the prevention and control measures taken by the staff in real time, including: prevention and control methods, prevention and control time, etc.;

[0136] Determine a standard prevention and control feature sequence according to the intrusion information; the standard prevention and control feature sequence includes a plurality of second prevention and control features, and the order of the second prevention and control features in the standard prevention and control feature sequence is determined according to the order of the ideal execution time of the second prevention and control features; wherein the standard prevention and control feature sequence is determined according to the standard prevention and control strategy of the intrusion information;

[0137] Determine the third prevention and control feature according to the first prevention and control feature and the standard prevention and control feature sequence; the ideal execution time of the third prevention and control feature is consistent with the extraction time of the first prevention and control feature;

[0138] Perform feature matching on the first prevention and control feature and the third prevention and control feature, determine the third prevention and control feature that does not match the match, and use it as the fourth prevention and control feature;

[0139] Obtaining a preset ideal biological distribution corresponding to the fourth prevention and control feature; wherein the ideal biological distribution is: the distribution of the invasive organisms after corresponding prevention and control according to the fourth prevention and control feature;

[0140] Obtaining the real-time biological distribution of the first prevention and control feature corresponding to the fourth prevention and control feature; wherein the real-time biological distribution is: the distribution of the invading organisms after corresponding prevention and control is carried out according to the first prevention and control feature corresponding to the fourth prevention and control feature;

[0141] Determine the control direction information according to the ideal biological distribution and the real-time biological distribution; wherein the control direction information is: the distribution difference between the ideal biological distribution and the real-time biological distribution;

[0142] The first prevention and control feature extracted after the extraction time of the first prevention and control feature corresponding to the fourth prevention and control feature and the fifth prevention and control feature of the control direction information are matched to determine whether there is a feature match; wherein the fifth prevention and control feature is: a prevention and control means to offset the distribution difference between the ideal biological distribution and the real-time biological distribution;

[0143] If there is no feature match, the warning area is determined based on the corresponding control direction information.

[0144] The working principle and beneficial effects of the above technical solution are:

[0145] The present invention extracts the first prevention and control feature based on the invasion prevention and control information, and at the same time, determines the standard prevention and control feature sequence corresponding to the invasion information. The first prevention and control feature and the second prevention and control feature are matched in time to determine the third prevention and control feature; the first prevention and control feature and the third prevention and control feature are feature matched to determine the fourth prevention and control feature that does not match the match. The ideal biological distribution after the corresponding prevention and control according to the fourth prevention and control feature is obtained, and at the same time, the real-time biological distribution after the corresponding prevention and control according to the first prevention and control feature corresponding to the fourth prevention and control feature is obtained; the ideal biological distribution and the real-time biological distribution are compared to determine the distribution of harmful organisms caused by the difference in prevention and control, that is, the control direction information; the first prevention and control feature extracted after the extraction time of the first prevention and control feature corresponding to the fourth prevention and control feature and the fifth prevention and control feature of the control direction information are feature matched, that is, to determine whether there is a correction to the distribution of harmful organisms caused by the difference in prevention and control. If not, the invasive organisms will continue to migrate and develop based on the distribution of harmful organisms. According to the corresponding control direction information, the early warning area is determined, which improves the rationality of the determination of the early warning area.

[0146] In one embodiment, if there is no feature match, the warning area is determined according to the corresponding control direction information, including:

[0147] If there is no feature match, based on the preset warning area determination feature extraction template, the warning area determination feature is determined according to the corresponding control direction information; the warning area determination feature includes: the distribution difference between the ideal biological distribution and the real-time biological distribution; wherein the distribution difference between the ideal biological distribution and the real-time biological distribution is: a coordinate set of the distribution difference; the preset warning area determination feature extraction template is: a template for extracting the coordinates of the distribution difference by comparing the distribution difference map;

[0148] Obtain a migration model; wherein a migration model is a computational model that simulates and predicts the migration or spread of biological populations;

[0149] Determine the migration results based on the characteristics and migration model of the warning area;

[0150] According to the migration results, the early warning area is determined. The early warning area is determined according to the migration results: the future spread area of ​​the invasive organisms is calculated according to the future time, and a warning is given before the invasive organisms reach the future spread area.

[0151] The working principle and beneficial effects of the above technical solution are:

[0152] The present invention introduces a warning area determination feature extraction template to extract the warning area determination features in the control direction information, inputs the warning area determination features into the migration model, and determines the migration result; according to the migration result, the warning area is determined, thereby improving the accuracy and timeliness of the warning.

[0153] In one embodiment, obtaining a migration model includes:

[0154] According to the characteristics of the early warning area, the migration records of the target organisms are obtained; the target organisms are: invasive organisms; the migration records are: information about the time, location and migration path of the migration behavior of the target organisms;

[0155] Obtaining discussion records of migration records; wherein the discussion records are: voice information of manual discussion of migration records;

[0156] Parse the discussion record to obtain the discussion items on the record timeline; wherein the discussion items are: discussion semantics;

[0157] Match the discussion item from beginning to end with the first keyword of the preset first keyword type to determine the matching second keyword; wherein the preset first keyword type is: biological species; the first keyword is: the descriptive semantics of the target organism; the second keyword is: the descriptive semantics of the first identified target organism in the discussion item;

[0158] Matching the discussion item after the second keyword with the third keyword of the preset second keyword type to determine a matching fourth keyword; wherein the preset second keyword type is: a migration behavior description semantic type, such as: direction semantics, location semantics, and preference semantics; and the fourth keyword is: a migration behavior description semantic identified in the discussion item;

[0159] Obtain a preset first target number of discussion items before and after the fourth keyword, and search for question words; wherein the preset first target number is: 5; the question words are: words indicating negation, such as: "not right";

[0160] If the search is successful, the query result is obtained according to the discussion items of the second target number preset after the query word; wherein the preset second target number is: 10; the query result includes: query success and query failure;

[0161] The fourth keyword is filtered according to the query result to obtain the fifth keyword; if the query is successful, the corresponding fourth keyword is removed, otherwise it is retained;

[0162] According to the second keyword and the fifth keyword, key information of the migration description corresponding to the discussion record is obtained;

[0163] Train the migration model based on the key information of migration description.

[0164] The working principle and beneficial effects of the above technical solution are:

[0165] The present invention obtains the discussion record of the migration record, and expands the discussion record on the record timeline to obtain multiple discussion items. The discussion item is matched from beginning to end with the first keyword of the preset first keyword type to determine the description semantics of the first identified target organism in the discussion item (the second keyword); the discussion item after the second keyword is matched with the semantics of the migration behavior description to determine the fourth keyword; the query word near the fourth keyword is searched to determine the credibility of the fourth keyword, and when the query word is retrieved, the discussion items of the preset second target number after the query word are obtained, and the query result is obtained by analysis; it is determined whether the fourth keyword needs to be retained according to the query result; the migration description key information is determined according to the second keyword and the fifth keyword; the migration model is trained according to the migration description key information, thereby improving the training efficiency of the migration model.

[0166] The embodiment of the present invention provides an intelligent monitoring and alarm device for invasion of foreign harmful organisms, such as Figure 2 As shown, including:

[0167] Invasion information intelligent monitoring subsystem 1, used for intelligently monitoring the invasion information of foreign harmful organisms;

[0168] Alarm subsystem 2, used to determine the alarm area and issue corresponding alarms based on the intrusion information;

[0169] Intrusion prevention and control information acquisition subsystem 3, used to obtain intrusion prevention and control information of the alarm area;

[0170] The early warning subsystem 4 is used to determine the early warning area and issue corresponding early warnings based on the intrusion prevention and control information.

[0171] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An intelligent monitoring and alarm method for invasion of foreign harmful organisms, characterized in that: include: Intelligent monitoring of invasion information of foreign pests; According to the intrusion information, determine the alarm area and issue corresponding alarms; Obtain intrusion prevention and control information of the alarm area; Determine the warning area and issue corresponding warnings based on intrusion prevention and control information; Among them, according to the intrusion prevention and control information, the warning area is determined and the corresponding warning is issued, including: Extracting the first prevention and control feature of the intrusion prevention and control information; Determine a standard prevention and control feature sequence according to the intrusion information; the standard prevention and control feature sequence includes a plurality of second prevention and control features, and the order of the second prevention and control features in the standard prevention and control feature sequence is determined according to the order of the ideal execution time of the second prevention and control features; Determine the third prevention and control feature according to the first prevention and control feature and the standard prevention and control feature sequence; the ideal execution time of the third prevention and control feature is consistent with the extraction time of the first prevention and control feature; Perform feature matching on the first prevention and control feature and the third prevention and control feature, determine the third prevention and control feature that does not match the match, and use it as the fourth prevention and control feature; Obtaining a preset ideal biological distribution corresponding to the fourth prevention and control characteristic; Obtaining real-time biological distribution of the first prevention and control feature corresponding to the fourth prevention and control feature; Determine the control direction information based on the ideal biological distribution and real-time biological distribution; Perform feature matching on the first prevention and control feature extracted after the extraction time of the first prevention and control feature corresponding to the fourth prevention and control feature and the fifth prevention and control feature of the control direction information to determine whether there is a feature match; If there is no feature match, the warning area is determined based on the corresponding control direction information.

2. The intelligent monitoring and alarm method for invasion of foreign harmful organisms as claimed in claim 1, characterized in that: Intelligent monitoring of invasion information of foreign pests, including: Based on remote sensing technology, the first invasion sub-information is obtained through drones; Based on environmental DNA technology, monitor the second invasive species information in water bodies; The first intrusion sub-information and the second intrusion sub-information are taken together as the intrusion information.

3. The intelligent monitoring and alarm method for invasion of foreign harmful organisms as claimed in claim 2, characterized in that: Based on remote sensing technology, the first invasion sub-information is obtained through drones, including: Acquire remote sensing images in the target boundary area through UAV; Analyze the remote sensing image and obtain the first invasion sub-information.

4. The intelligent monitoring and alarm method for invasion of foreign harmful organisms as claimed in claim 3, characterized in that: Acquire remote sensing images in the target boundary area through drones, including: Obtaining the first boundary of the biocontainment area; Get the second border of the target country; Perform boundary matching on the first boundary and the second boundary to determine a third boundary that matches; Obtain the adjacent area between the target country and the third border and use it as the target border area; Obtain the flight capabilities of drones within the target boundary area; Determine the flight control strategy based on flight capabilities; According to the flight control strategy, the UAV is controlled to acquire remote sensing images in the target boundary area.

5. The intelligent monitoring and alarm method for invasion of foreign harmful organisms as claimed in claim 4, characterized in that: Determine the flight control strategy based on flight capabilities, including: Analyze flight capabilities and obtain flight distance and endurance points; Draw the flight coverage route of the flight distance from the endurance point; Determine the best flight coverage route combination strategy based on the distribution information of the flight coverage routes; According to the optimal flight coverage route combination strategy, determine the target flight coverage route of the drone corresponding to each endurance point; Control the drone to fly based on the corresponding target flight coverage route; Among them, according to the distribution information of the flight coverage routes, the best flight coverage route combination strategy is determined, including: Determine the pre-selected flight coverage route combination strategy based on the distribution information; Obtain flight coverage route combination strategy evaluation items, and determine the evaluation weights of the flight coverage route combination strategy evaluation items; the flight coverage route combination strategy evaluation items include: the overlap length of the flight coverage route and the missing coverage length of the flight coverage route; According to the evaluation results and evaluation weights of the flight coverage route combination strategy evaluation items, the preferred value is determined, and the corresponding flight coverage route combination strategy with the largest preferred value is taken as the optimal flight coverage route combination strategy.

6. The intelligent monitoring and alarm method for invasion of foreign harmful organisms as claimed in claim 2, characterized in that: Based on environmental DNA technology, the second invasive species information in water bodies is monitored, including: Obtain sample water; Based on environmental DNA technology, the second invading sub-item information is determined according to the sample water body.

7. The intelligent monitoring and alarm method for invasion of foreign harmful organisms as claimed in claim 1, characterized in that: According to the intrusion information, determine the alarm area and make corresponding alarms, including: Determine the alarm area based on the intrusion information and the preset area division library; Extract templates and intrusion information based on alarm information to determine alarm information; Connect to the regional node of the alarm area and send alarm information to the regional node.

8. The intelligent monitoring and alarm method for invasion of foreign harmful organisms as claimed in claim 1, characterized in that: If there is no feature match, the warning area is determined based on the corresponding control direction information, including: If there is no feature match, a feature extraction template is determined based on the preset warning area, and the warning area is determined based on the corresponding control direction information; the warning area determination features include: distribution differences between ideal biological distribution and real-time biological distribution; Get the migration model; Determine the migration results based on the characteristics and migration model of the warning area; Determine the warning area based on the migration results.

9. An intelligent monitoring and alarm device for invasion of foreign harmful organisms, characterized in that: include: Invasion information intelligent monitoring subsystem, used to intelligently monitor the invasion information of foreign harmful organisms; The alarm subsystem is used to determine the alarm area and issue corresponding alarms based on the intrusion information; Intrusion prevention and control information acquisition subsystem, used to obtain intrusion prevention and control information of the alarm area; The early warning subsystem is used to determine the early warning area and issue corresponding early warnings based on intrusion prevention and control information; The early warning subsystem determines the early warning area and issues corresponding early warnings based on the intrusion prevention and control information, including: Extracting the first prevention and control feature of the intrusion prevention and control information; Determine a standard prevention and control feature sequence according to the intrusion information; the standard prevention and control feature sequence includes a plurality of second prevention and control features, and the order of the second prevention and control features in the standard prevention and control feature sequence is determined according to the order of the ideal execution time of the second prevention and control features; Determine the third prevention and control feature according to the first prevention and control feature and the standard prevention and control feature sequence; the ideal execution time of the third prevention and control feature is consistent with the extraction time of the first prevention and control feature; Perform feature matching on the first prevention and control feature and the third prevention and control feature, determine the third prevention and control feature that does not match the match, and use it as the fourth prevention and control feature; Obtaining a preset ideal biological distribution corresponding to the fourth prevention and control characteristic; Obtaining real-time biological distribution of the first prevention and control feature corresponding to the fourth prevention and control feature; Determine the control direction information based on the ideal biological distribution and real-time biological distribution; Perform feature matching on the first prevention and control feature extracted after the extraction time of the first prevention and control feature corresponding to the fourth prevention and control feature and the fifth prevention and control feature of the control direction information to determine whether there is a feature match; If there is no feature match, the warning area is determined based on the corresponding control direction information.

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