A real-time transmission system and method for monitoring data of foreign harmful organisms

Abstract

The present invention provides a real-time transmission system and method for monitoring data of foreign harmful organisms, belonging to the field of electronic digital data processing technology, and the system includes: a deployment subsystem for deploying monitoring nodes at suspicious invasion ports; a monitoring subsystem for acquiring monitoring information based on the monitoring nodes; and a transmission subsystem for transmitting the harmful organism monitoring data acquired by analyzing the monitoring information to a target supervision platform. The real-time transmission system and method for monitoring data of foreign harmful organisms of the present invention deploy monitoring nodes at suspicious invasion ports, and use the monitoring nodes to monitor harmful organism monitoring data. Once harmful organism monitoring data is detected, the harmful organism monitoring data is immediately transmitted to the corresponding target supervision platform, thereby improving the monitoring efficiency of foreign harmful organism invasion events.

Description

Technical Field

[0001] The invention relates to the technical field of electronic digital data processing, and in particular to a real-time transmission system and method for monitoring data of foreign harmful organisms. Background Art

[0002] Alien pests, also known as invasive alien species, refer to populations established in natural and semi-natural ecosystems and habitats. When they change and endanger local biodiversity, they are invasive alien species, and the harm they cause is alien biological invasion. The harm of invasive alien species is multifaceted. They may cause serious ecological damage and biological pollution, lead to loss of biodiversity, easily trigger ecological disasters, endanger agricultural and forestry economic development, and may also endanger human and livestock health; for example, invasive species such as red fire ants, crayfish and Spartina alterniflora have had a serious impact on the ecological environment and agricultural and forestry production.

[0003] The invention patent with application number: CN202210682928.7 discloses an alien invasive organism data sharing and service platform system, which comprehensively applies geographic information system, remote sensing and global positioning system to develop an alien invasive species data sharing and service platform. RS is used for invasive species survey and monitoring route planning, GPS is used for field investigation and data collection, and information technology is used to connect and map multi-thematic data of invasive species, and extract key time-space related information such as the origin, distribution, and diffusion of invasive organisms; through data cleaning, fusion and reconstruction, holographic invasive organism big data is formed, and an interactive invasive organism sharing and service platform is established. The results are visualized and mapped using WebGIS and related visualization technologies, and map and data services are provided; the construction of the platform can better solve the contradiction between the rapid growth of invasive organism data and the effectiveness of data acquisition, and provide authorized users with efficient, convenient, interactive, and good interactive interfaces and invasive organism data product services.

[0004] However, when the above-mentioned existing technologies are used for invasive species surveys, the same monitoring computing power is allocated to the areas that need to be surveyed, there is no monitoring focus, and the monitoring efficiency is low.

[0005] In view of this, there is an urgent need for a real-time transmission system and method for monitoring data of foreign pests to at least solve the above-mentioned deficiencies. Summary of the invention

[0006] One of the purposes of the present invention is to provide a real-time transmission system and method for monitoring data of alien pests. Monitoring nodes are deployed at suspected invasion ports, and the monitoring nodes are used to monitor pest monitoring data. Once the pest monitoring data is detected, the pest monitoring data is immediately transmitted to the corresponding target supervision platform, thereby improving the monitoring efficiency of alien pest invasion events.

[0007] An embodiment of the present invention provides a real-time transmission system for monitoring data of foreign harmful organisms, comprising:

[0008] The deployment subsystem is used to deploy monitoring nodes at suspicious intrusion points;

[0009] The monitoring subsystem is used to obtain monitoring information based on the monitoring nodes;

[0010] The transmission subsystem is used to transmit the pest monitoring data obtained by analyzing the monitoring information to the target supervision platform.

[0011] Preferably, the deployment subsystem includes:

[0012] A suspicious intrusion port determination module, used to determine the suspicious intrusion port;

[0013] A first biological species set acquisition module, used to acquire a first biological species set of a suspected invasion port;

[0014] A monitoring strategy library acquisition module is used to acquire a monitoring strategy library; the monitoring strategy library includes: a one-to-one correspondence between the second biological species and the first monitoring strategy;

[0015] A first monitoring strategy set determination module, configured to determine a first monitoring strategy set based on a monitoring strategy library and a first biological species set;

[0016] The deployment module is used to deploy monitoring nodes of suspicious intrusion ports based on the first monitoring strategy set.

[0017] Preferably, the suspicious intrusion port determination module includes:

[0018] The submodule for obtaining the basis for determining the suspected invasion port is used to obtain the basis for determining the suspected invasion port; the basis for determining the suspected invasion port includes: historical records of invasion of foreign harmful organisms and the basis for determining by manual input;

[0019] A pre-check entry information acquisition submodule is used to obtain pre-check entry information;

[0020] According to the determination submodule, it is used to parse the pre-screening entry information and determine whether there is a suspicious intrusion entry to determine the basis;

[0021] A submodule for determining the type of intrusion, used to determine the type of the type of intrusion if there is a suspicious intrusion.

[0022] The suspicious value determination library acquisition submodule is used to acquire the suspicious value determination library according to the basis type; the suspicious value determination library is determined according to the detection probability of foreign pests in the historical foreign pest monitoring records corresponding to the basis type;

[0023] The suspicious value calculation submodule is used to determine the suspicious value of the pre-check entry according to the suspicious intrusion port determination basis and the suspicious value determination library;

[0024] The suspicious intrusion port determination submodule is used to treat the corresponding pre-check entry as a suspicious intrusion port if the suspicious value is greater than or equal to a preset suspicious value threshold.

[0025] Preferably, the suspicious value determination library acquisition submodule includes:

[0026] A historical alien pest monitoring record acquisition unit, used to acquire historical alien pest monitoring records of a historical basis type consistent with the basis type;

[0027] A detection situation determination unit, used to determine the detection situation of foreign pests corresponding to the historical suspicious invasion ports according to the historical foreign pest monitoring records;

[0028] A detection probability calculation unit, used to calculate the detection probability according to the detection situation;

[0029] A suspicious value determination library determination unit determines a suspicious value determination library according to the detection probability;

[0030] The suspicious value determination library determination unit includes:

[0031] The to-be-matched suspicious value determination subunit is used to determine the to-be-matched suspicious value according to the detection probability and the preset amplification factor;

[0032] The suspicious value determination library construction subunit is used to store the historical suspicious intrusion port determination basis and the suspicious value to be matched as a combination item into an empty database to obtain the suspicious value determination library.

[0033] Preferably, the transmission subsystem comprises:

[0034] Monitoring data analysis module, used to analyze pest monitoring data and obtain third-party species and target invasion ports;

[0035] The data transmission module of the sub-platform is used to determine the sub-platform according to the third biological species, and send the harmful organism monitoring data corresponding to the third biological species to the sub-platform.

[0036] Preferably, the data transmission module of the sub-platform includes:

[0037] The early warning time information acquisition submodule is used to obtain the early warning time information in the pest monitoring data;

[0038] The tracking result determination submodule is used to determine the tracking result according to the target intrusion port and warning time information;

[0039] The delivery submodule is used to map the tracking results in real time within the tracking area, obtain the mapping results, and send the mapping results and the pest monitoring data corresponding to the third biological species to the management platform.

[0040] Preferably, the tracking result determination submodule includes:

[0041] a tracking area determination unit, configured to determine a tracking area based on a target map, according to the alien harmful organism information of the third biological species and the target invasion port;

[0042] A tracking impact item determination unit, used to analyze the information of foreign harmful organisms and determine the tracking impact items;

[0043] A tracking influence information acquisition path acquisition unit, used to acquire a tracking influence information acquisition path according to the tracking influence item;

[0044] A target tracking influence information acquisition unit, configured to acquire target tracking influence information in the tracking area according to the tracking influence information acquisition path;

[0045] A target tracking influence factor construction unit, used to construct a target tracking influence factor according to the target tracking influence information;

[0046] A tracking model building unit, used to build a tracking model according to the tracking area, the target invasion port, the alien harmful organism information of the third biological species and the warning time information;

[0047] The tracking result determination unit is used to introduce the target tracking influence factor into the tracking model to determine the tracking result in the tracking area.

[0048] Preferably, the tracking area determination unit includes:

[0049] The target organism longest moving distance estimation subunit is used to estimate the target organism's longest moving distance based on the foreign harmful organism information and the warning time information;

[0050] The area determination subunit is used to draw a circle on the target map with the longest moving distance of the target organism as the radius and the target invasion port as the center, and use the area within the circle drawn on the target map as the tracking area;

[0051] Among them, based on the information of foreign pests and warning time information, the longest movement distance of the target organisms is estimated, including:

[0052] Extracting the first biological attribute feature according to the information of foreign harmful organisms;

[0053] Matching the feature type of the first biological attribute feature with the moving distance feature type, and determining that the moving distance feature type matches the second biological attribute feature;

[0054] According to the second biological attribute characteristics and warning time information, the longest moving distance of the target biological is determined.

[0055] Preferably, the tracking influence item determination unit includes:

[0056] A first natural language understanding result acquisition subunit, used to acquire a first natural language understanding result of foreign harmful organism information;

[0057] A tracking influence item determination subunit, used to determine a tracking influence item according to the first natural language understanding result;

[0058] Wherein, determining the tracking influencing item according to the first natural language understanding result includes:

[0059] Perform natural language matching based on the first natural language understanding result and the standard natural language understanding result to determine the matching degree; the standard natural language understanding result is: standard tracking influence description semantics;

[0060] If the matching degree is greater than or equal to the preset matching degree threshold, the corresponding first natural language understanding result is used as the target matching item;

[0061] Obtain index information through big data based on target matching items and preset index models;

[0062] Obtain a second natural language understanding result of the index information;

[0063] The second natural language understanding result and the standard natural language understanding result are matched with each other in natural language, and the index information corresponding to the second natural language understanding result that meets the natural language matching is determined and used as the tracking influence item.

[0064] An embodiment of the present invention provides a method for real-time transmission of foreign pest monitoring data, comprising:

[0065] Step 1: Deploy monitoring nodes at suspected intrusion points;

[0066] Step 2: Based on the monitoring node, obtain monitoring information;

[0067] Step 3: Transmit the pest monitoring data obtained by analyzing the monitoring information to the target supervision platform.

[0068] The beneficial effects of the present invention are:

[0069] The present invention deploys monitoring nodes at suspected invasion ports and uses the monitoring nodes to monitor harmful organism monitoring data. Once harmful organism monitoring data is detected, the harmful organism monitoring data is immediately transmitted to a corresponding target supervision platform, thereby improving the monitoring efficiency of foreign harmful organism invasion events.

[0070] 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.

[0071] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] 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:

[0073] Figure 1 A schematic diagram of a real-time transmission system for monitoring data of foreign harmful organisms in an embodiment of the present invention;

[0074] Figure 2 Schematic diagram of a real-time transmission method for monitoring data of foreign harmful organisms in an embodiment of the present invention. DETAILED DESCRIPTION

[0075] 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.

[0076] The embodiment of the present invention provides a real-time transmission system for monitoring data of foreign harmful organisms, such as Figure 1 As shown, including:

[0077] The deployment subsystem 1 is used to deploy monitoring nodes at suspicious intrusion ports; wherein the suspicious intrusion ports are: places or routes that may be invaded by harmful organisms, such as: a customs security checkpoint; the monitoring nodes are: communication nodes of detection devices set at the suspicious intrusion ports for detecting and recording harmful organism activities, such as: communication nodes of scanning devices at security checkpoints;

[0078] Monitoring subsystem 2, used for obtaining monitoring information based on monitoring nodes; wherein the monitoring information is: a communication signal sent by the monitoring node;

[0079] Transmission subsystem 3 is used to transmit the pest monitoring data obtained by analyzing the monitoring information to the target supervision platform. The pest monitoring data is: data on the existence and activity of pests obtained by analyzing the communication signals sent by the monitoring nodes, such as: detecting the presence of alien species on the carpet entering the customs, and the alien species is the natural enemy of the local protected species; the target supervision platform is: the management platform corresponding to the monitored pests.

[0080] The working principle and beneficial effects of the above technical solution are:

[0081] The present invention deploys monitoring nodes at suspected invasion ports and uses the monitoring nodes to monitor harmful organism monitoring data. Once harmful organism monitoring data is detected, the harmful organism monitoring data is immediately transmitted to a corresponding target supervision platform, thereby improving the monitoring efficiency of foreign harmful organism invasion events.

[0082] In one embodiment, the deployment subsystem includes:

[0083] A suspicious intrusion port determination module, used to determine the suspicious intrusion port;

[0084] A first biological species set acquisition module is used to acquire a first biological species set of a suspected invasion port; wherein the first biological species set is: a set of biological species that may invade the suspected invasion port, determined based on the historical detection records of foreign harmful organisms at the suspected invasion port and the biological distribution information of the area where the suspected invasion port is located;

[0085] The monitoring strategy library acquisition module is used to acquire the monitoring strategy library; the monitoring strategy library includes: a one-to-one correspondence between the second biological species and the first monitoring strategy; wherein the monitoring strategy library stores a plurality of monitoring plans or methods formulated for the second biological species, for example: the second biological species is: plant seeds, and the first monitoring strategy is: scanning using X-ray security inspection equipment;

[0086] A first monitoring strategy set determination module, configured to determine a first monitoring strategy set based on a monitoring strategy library and a first biological species set;

[0087] The deployment module is used to deploy monitoring nodes of suspicious intrusion ports based on the first monitoring strategy set. The deployment of monitoring nodes of suspicious intrusion ports is, for example, to set up X-ray security inspection equipment at the suspicious intrusion ports and connect it to the monitoring network based on the Internet of Things technology to complete the deployment of monitoring nodes.

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

[0089] The present invention first determines the suspected invasion ports that need to be monitored, and determines a first set of biological species that may invade the suspected invasion ports based on historical records of detection of foreign harmful organisms at the suspected invasion ports and biological distribution information of the area where the suspected invasion ports are located; introduces a monitoring strategy library, matches the first biological species set with the second biological species, and determines a first monitoring strategy set; and arranges monitoring nodes corresponding to the suspected invasion ports based on the first monitoring strategy set, thereby improving the rationality of the arrangement of monitoring nodes.

[0090] In one embodiment, the suspicious intrusion port determination module includes:

[0091] The submodule for obtaining the basis for determining the suspected invasion port is used to obtain the basis for determining the suspected invasion port; the basis for determining the suspected invasion port includes: historical records of invasion of foreign pests and the basis for determination input manually; among which, the historical records of invasion of foreign pests are: relevant information on foreign pest invasion events that have occurred in history;

[0092] The pre-screening entry information acquisition submodule is used to obtain pre-screening entry information; wherein the pre-screening entry information is: information of the area to be judged as a suspicious intrusion port, such as: a station in an adjacent area bordering a neighboring country;

[0093] According to the determination submodule, it is used to parse the pre-screening entry information and determine whether there is a suspicious intrusion entry to determine the basis;

[0094] The submodule for determining the type of suspicious intrusion port is used to determine the type of the basis if there is a basis for determining the suspicious intrusion port; wherein the basis type is the type information of the basis for determining the suspicious intrusion port;

[0095] The suspicious value determination library acquisition submodule is used to acquire the suspicious value determination library according to the basis type; the suspicious value determination library is determined according to the detection probability of foreign pests in the historical foreign pest monitoring records corresponding to the basis type;

[0096] The suspicious value calculation submodule is used to determine the suspicious value of the pre-check entry according to the suspicious intrusion port determination basis and the suspicious value determination library;

[0097] The suspicious intrusion entry determination submodule is used to, if the suspicious value is greater than or equal to a preset suspicious value threshold, use the corresponding pre-check entry as a suspicious intrusion entry. The preset suspicious value threshold is manually preset.

[0098] The working principle and beneficial effects of the above technical solution are:

[0099] The present invention introduces historical records of invasion of foreign harmful organisms and manually input determination basis as the basis for determining the suspicious invasion port, and at the same time, obtains pre-screening entry information; parses the pre-screening entry information to determine whether there is a basis for determining the suspicious invasion port, if there is a determination basis type, and calls up a suspicious value determination library corresponding to the basis type, matches the basis for determining the suspicious invasion port with the basis to be matched in the suspicious value determination library, determines the suspicious value associated with the corresponding matching basis to be matched as the suspicious value to be determined; screens the pre-screening entry with a suspicious value greater than or equal to a suspicious value threshold as the suspicious invasion port, thereby improving the accuracy of determining the suspicious invasion port.

[0100] In one embodiment, the suspicious value determination library acquisition submodule includes:

[0101] The historical alien pest monitoring record acquisition unit is used to acquire the historical alien pest monitoring record of the historical basis type consistent with the basis type; wherein the historical basis type is: the type of selection basis for selecting the suspicious invasion port in the historical alien pest monitoring record, such as: historical record, and also: expert setting;

[0102] A detection situation determination unit is used to determine the detection situation of foreign pests corresponding to the historical suspicious invasion port determination basis according to the historical foreign pest monitoring records; wherein the detection situation is: the result of whether foreign pests have been detected in the historical invasion port selected based on the historical suspicious invasion port determination basis in history;

[0103] A detection probability calculation unit, used to calculate the detection probability according to the detection situation; wherein the detection probability is: the result obtained by dividing the number of cases where the alien pests were detected in the historical alien pest monitoring records by the total number of cases;

[0104] A suspicious value determination library determination unit determines a suspicious value determination library according to the detection probability;

[0105] The suspicious value determination library determination unit includes:

[0106] The subunit for determining the suspicious value to be matched is used to determine the suspicious value to be matched according to the detection probability and the preset amplification factor; wherein the preset amplification factor is: 100; when determining the suspicious value to be matched, the detection probability and the amplification factor are multiplied;

[0107] The suspicious value determination library construction subunit is used to store the historical suspicious intrusion port determination basis and the suspicious value to be matched as a combination item into an empty database to obtain the suspicious value determination library.

[0108] The working principle and beneficial effects of the above technical solution are:

[0109] The present invention introduces historical alien pest monitoring records that are consistent with the basis type, parses the historical alien pest monitoring records, determines whether alien pests have been detected in the history of the historical invasion ports selected based on different historical suspicious invasion port determination bases, and divides the number of situations in which alien pests were detected by the total number of situations to obtain the detection probability; multiplies the detection probability by a preset amplification factor to determine the suspicious value to be matched, stores the historical suspicious invasion port determination base and the suspicious value to be matched as combination items in an empty database, obtains a suspicious value determination library, and improves the accuracy of library construction.

[0110] In one embodiment, the transmission subsystem includes:

[0111] The monitoring data parsing module is used to parse the pest monitoring data and obtain the third biological species and the target invasion port; wherein the third biological species is: the biological species of the foreign pests monitored in the pest monitoring data, such as: snails; the target invasion port is: the invasion location of the foreign pests of the third biological species monitored;

[0112] The data transmission module of the sub-platform is used to determine the sub-platform according to the third biological species, and send the pest monitoring data corresponding to the third biological species to the sub-platform. The sub-platform is a department docking platform for managing the foreign pests of the third biological species.

[0113] The working principle and beneficial effects of the above technical solution are:

[0114] The present invention analyzes the harmful biological monitoring data to obtain the information of the invasive biological species, and sends the harmful biological monitoring data corresponding to the third biological species to the corresponding sub-platform, thereby improving the pertinence of subsequent management.

[0115] In one embodiment, the data transmission module of the sub-platform includes:

[0116] The warning time information acquisition submodule is used to obtain the warning time information in the pest monitoring data; wherein the warning time information is: the time length from the moment when the pest is monitored to the current moment;

[0117] The tracking result determination submodule is used to determine the tracking result according to the target intrusion port and the warning time information; wherein the tracking result is: the trajectory information of the intruding harmful organism within the time length from the time when the harmful organism is detected to the current time;

[0118] The delivery submodule is used to map the tracking results in the tracking area in real time, obtain the mapping results, and send the mapping results and the pest monitoring data corresponding to the third biological species to the management platform. The tracking area is: the possible activity range of the invading pests.

[0119] The working principle and beneficial effects of the above technical solution are:

[0120] The present invention estimates the trajectory information of the invading pests based on the determined target invasion entrance and warning time information, and maps the tracking results in real time within the tracking area, and sends the mapping results and the pest monitoring data corresponding to the third biological species to the sub-platform together, thereby improving the processing efficiency of the subsequent processing of the sub-platform.

[0121] In one embodiment, the tracking result determination submodule includes:

[0122] A tracking area determination unit is used to determine the tracking area based on the target map, according to the alien pest information of the alien pest of the third biological species and the target invasion port; wherein the target map is: a regional map of the invasion area of ​​the alien pest; the alien pest information is: the species characteristics, ecological requirements, propagation mode and environmental impact information of the alien pest, which is obtained according to the knowledge atlas related to the alien pest index;

[0123] A tracking impact item determination unit is used to analyze the information of foreign pests and determine tracking impact items; wherein the tracking impact items are factors that affect the distribution and impact of foreign pests, such as climate conditions and soil types;

[0124] A tracking influence information acquisition path acquisition unit is used to acquire a tracking influence information acquisition path according to the tracking influence item; wherein the tracking influence information acquisition path is: an acquisition method of the tracking influence item, for example: the climate conditions of the tracking area are acquired by connecting with the meteorological department;

[0125] A target tracking influence information acquisition unit is used to acquire target tracking influence information in the tracking area according to the tracking influence information acquisition path; wherein the target tracking influence information is: information related to the tracking influence item in the tracking area, such as: climate conditions in the tracking area, soil type in the tracking area;

[0126] A target tracking influence factor construction unit is used to construct a target tracking influence factor according to the target tracking influence information; wherein the target tracking influence factor is: a description vector describing the target tracking influence information, constructed according to the characteristics of the target tracking influence information (climatic conditions of the tracking area, soil type of the tracking area), and the construction rules are set manually;

[0127] A tracking model establishing unit is used to establish a tracking model according to the tracking area, the target invasion port, the alien harmful organism information of the third biological species and the warning time information; wherein the tracking model is a mathematical model that simulates the movement of the alien harmful organism of the third biological species in the tracking area according to the alien harmful organism information, the starting point of the simulated movement is the corresponding position of the target invasion port in the tracking model, and the movement duration is determined according to the warning time information;

[0128] The tracking result determination unit is used to introduce the target tracking influence factor into the tracking model to determine the tracking result in the tracking area. Introducing the target tracking influence factor refers to adding interference of the target tracking influence information into the tracking model.

[0129] The working principle and beneficial effects of the above technical solution are:

[0130] The present invention introduces a target map, determines a tracking area in the target map, and establishes a tracking model that simulates the movement of alien pests of a third biological species in the tracking area according to the alien pest information, based on the tracking area, the target invasion port, and the alien pest information and warning time information of the alien pests of a third biological species; analyzes the alien pest information and determines the tracking influence item; obtains the target tracking influence information in the tracking area according to the tracking influence information acquisition path and constructs the target tracking influence factor; introduces the target tracking influence factor into the tracking model, determines the tracking result in the tracking area, and improves the tracking accuracy.

[0131] In one embodiment, the tracking area determination unit includes:

[0132] The target organism longest moving distance estimation subunit is used to estimate the target organism's longest moving distance based on the foreign harmful organism information and the warning time information;

[0133] The area determination subunit is used to draw a circle on the target map with the longest moving distance of the target organism as the radius and the target invasion port as the center, and use the area within the circle drawn on the target map as the tracking area;

[0134] Among them, based on the information of foreign pests and warning time information, the longest movement distance of the target organisms is estimated, including:

[0135] Extracting a first biological attribute feature according to the foreign harmful organism information; wherein the first biological attribute feature is: a biological attribute feature extracted from the foreign harmful organism information, including morphological, physiological and behavioral characteristics of the species;

[0136] Match the feature type of the first biological attribute feature and the moving distance feature type to determine the second biological attribute feature that matches the moving distance feature type; wherein the feature type is: classification of biological attribute features; the moving distance feature type is: features related to biological mobility, such as: migration distance, diffusion speed; the second biological attribute feature is, for example: 1 meter / minute;

[0137] According to the second biological attribute characteristics and warning time information, the longest moving distance of the target biological is determined.

[0138] The working principle and beneficial effects of the above technical solution are:

[0139] The present invention matches the feature type of the first biological attribute feature extracted based on the information of foreign harmful organisms and the moving distance feature type to determine the moving distance feature (second biological attribute feature); based on the second biological attribute feature and the warning time information, the longest moving distance of the target organism is determined, thereby improving the measurement accuracy of the longest moving distance of the target organism.

[0140] In one embodiment, the tracking influence item determination unit includes:

[0141] A first natural language understanding result acquisition subunit is used to acquire a first natural language understanding result of the foreign pest information; wherein the first natural language understanding result is: the understanding semantics of the foreign pest information;

[0142] A tracking influence item determination subunit, used to determine a tracking influence item according to the first natural language understanding result;

[0143] According to the first natural language understanding result, determining the tracking influencing item includes:

[0144] A natural language matching is performed based on the first natural language understanding result and the standard natural language understanding result to determine the matching degree; the standard natural language understanding result is: standard tracking impact description semantics; wherein, natural language matching is: semantic matching; the standard tracking impact description semantics is preset manually, for example: the moving speed is reduced by 0.2 km per hour; the matching degree is: the degree of semantic similarity;

[0145] If the matching degree is greater than or equal to a preset matching degree threshold, the corresponding first natural language understanding result is used as a target matching item; wherein the preset matching degree threshold is manually preset;

[0146] According to the target matching items and the preset index model, the index information is obtained through big data; wherein the index model is: an AI model that quickly locates and obtains relevant information of the target matching items in the big data environment; the index information is: relevant information of the target matching items in the big data environment, such as: the relationship between the movement speed of African snails and the temperature;

[0147] Obtaining a second natural language understanding result of the index information; wherein the second natural language understanding result is: the understanding semantics corresponding to the index information;

[0148] The second natural language understanding result and the standard natural language understanding result are matched with each other in natural language, and the index information corresponding to the second natural language understanding result that meets the natural language matching is determined and used as the tracking influence item.

[0149] The working principle and beneficial effects of the above technical solution are:

[0150] The present invention determines a first natural language understanding result of information on foreign pests, performs semantic matching on the first natural language understanding result and the standard tracking impact description semantics, and determines a target matching item whose matching degree is greater than or equal to a preset matching degree threshold; introduces an index model, and obtains index information of the target matching item in a big data environment according to the target matching item; performs natural language matching on a second natural language understanding result of the index information and the standard natural language understanding result, and determines matching tracking impact items, and obtains comprehensive tracking impact items by combining big data and AI, thereby improving the comprehensiveness of tracking impact item acquisition and making subsequent tracking simulation more accurate.

[0151] The embodiment of the present invention provides a method for real-time transmission of foreign harmful organism monitoring data, such as Figure 2 As shown, including:

[0152] Step 1: Deploy monitoring nodes at suspected intrusion points;

[0153] Step 2: Based on the monitoring node, obtain monitoring information;

[0154] Step 3: Transmit the pest monitoring data obtained by analyzing the monitoring information to the target supervision platform.

[0155] 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. A real-time transmission system for monitoring data of foreign harmful organisms, characterized in that: include: The deployment subsystem is used to deploy monitoring nodes at suspicious intrusion points; The monitoring subsystem is used to obtain monitoring information based on the monitoring nodes; The transmission subsystem is used to transmit the pest monitoring data obtained by parsing the monitoring information to the target supervision platform and perform the following operations: Analyze pest monitoring data to obtain third-party species and target invasion ports; Obtain early warning time information from pest monitoring data; extracting the first biological attribute characteristics based on the alien harmful organism information of the alien harmful organism of the third biological species; Matching the feature type of the first biological attribute feature with the moving distance feature type, and determining that the moving distance feature type matches the second biological attribute feature; Determine the maximum moving distance of the target organism according to the second organism attribute characteristics and the warning time information; Draw a circle on the target map with the longest moving distance of the target organism as the radius and the target invasion point as the center, and use the local map corresponding to the actual area within the circle drawn on the target map as the tracking area; Obtain the first natural language understanding results of information on foreign pests; Performing natural language matching on the first natural language understanding result and the standard natural language understanding result to determine a matching degree; If the matching degree is greater than or equal to the preset matching degree threshold, the corresponding first natural language understanding result is used as the target matching item; Obtain index information through big data based on target matching items and preset index models; Obtain a second natural language understanding result of the index information; Perform natural language matching on the second natural language understanding result and the standard natural language understanding result, determine the index information corresponding to the second natural language understanding result that meets the natural language matching, and use it as the tracking influence item; According to the tracking influence item, a tracking influence information acquisition path is obtained; Obtaining the target tracking influence information in the tracking area according to the tracking influence information acquisition path; According to the target tracking influence information, a target tracking influence factor is constructed; Establish a tracking model based on the tracking area, target invasion port, information on alien pests of third biological species and warning time information; Introduce the target tracking influencing factor into the tracking model to determine the tracking result within the tracking area; The tracking results are mapped in real time within the tracking area to obtain mapping results, and the mapping results and the pest monitoring data corresponding to the third biological species are sent together to the responsible platform.

2. A real-time transmission system for monitoring data of foreign harmful organisms as claimed in claim 1, characterized in that: Lay out subsystems, including: A suspicious intrusion port determination module, used to determine the suspicious intrusion port; A first biological species set acquisition module, used to acquire a first biological species set of a suspected invasion port; A monitoring strategy library acquisition module is used to acquire a monitoring strategy library; the monitoring strategy library includes: a one-to-one correspondence between the second biological species and the first monitoring strategy; A first monitoring strategy set determination module, configured to determine a first monitoring strategy set based on a monitoring strategy library and a first biological species set; The deployment module is used to deploy monitoring nodes of suspicious intrusion ports based on the first monitoring strategy set.

3. A real-time transmission system for monitoring data of foreign harmful organisms as claimed in claim 2, characterized in that: Suspicious intrusion port identification module, including: The submodule for obtaining the basis for determining the suspected invasion port is used to obtain the basis for determining the suspected invasion port; the basis for determining the suspected invasion port includes: historical records of invasion of foreign harmful organisms and the basis for determining by manual input; A pre-check entry information acquisition submodule is used to obtain pre-check entry information; According to the determination submodule, it is used to parse the pre-screening entry information and determine whether there is a suspicious intrusion entry to determine the basis; A submodule for determining the type of intrusion, used to determine the type of the type of intrusion if there is a suspicious intrusion. The suspicious value determination library acquisition submodule is used to acquire the suspicious value determination library according to the basis type; the suspicious value determination library is determined according to the detection probability of foreign pests in the historical foreign pest monitoring records corresponding to the basis type; The suspicious value calculation submodule is used to determine the suspicious value of the pre-check entry according to the suspicious intrusion port determination basis and the suspicious value determination library; The suspicious intrusion port determination submodule is used to treat the corresponding pre-check entry as a suspicious intrusion port if the suspicious value is greater than or equal to a preset suspicious value threshold.

4. A real-time transmission system for monitoring data of foreign harmful organisms as claimed in claim 3, characterized in that: The suspicious value judgment library acquisition submodule includes: A historical alien pest monitoring record acquisition unit, used to acquire historical alien pest monitoring records of a historical basis type consistent with the basis type; A detection situation determination unit, used to determine the detection situation of foreign pests corresponding to the historical suspicious invasion ports according to the historical foreign pest monitoring records; A detection probability calculation unit, used to calculate the detection probability according to the detection situation; The suspicious value determination library determination unit determines the suspicious value determination library according to the detection probability.

5. A method for real-time transmission of foreign harmful organism monitoring data, characterized in that: include: Deploy monitoring nodes at suspected intrusion points; Based on the monitoring nodes, obtain monitoring information; The pest monitoring data obtained by analyzing the monitoring information is transmitted to the target supervision platform, including: Analyze pest monitoring data to obtain third-party species and target invasion ports; Obtain early warning time information from pest monitoring data; extracting the first biological attribute characteristics based on the alien harmful organism information of the alien harmful organism of the third biological species; Matching the feature type of the first biological attribute feature with the moving distance feature type, and determining that the moving distance feature type matches the second biological attribute feature; Determine the maximum moving distance of the target organism according to the second organism attribute characteristics and the warning time information; Draw a circle on the target map with the longest moving distance of the target organism as the radius and the target invasion point as the center, and use the local map corresponding to the actual area within the circle drawn on the target map as the tracking area; Obtain the first natural language understanding results of information on foreign pests; Performing natural language matching on the first natural language understanding result and the standard natural language understanding result to determine a matching degree; If the matching degree is greater than or equal to the preset matching degree threshold, the corresponding first natural language understanding result is used as the target matching item; Obtain index information through big data based on target matching items and preset index models; Obtain a second natural language understanding result of the index information; Perform natural language matching on the second natural language understanding result and the standard natural language understanding result, determine the index information corresponding to the second natural language understanding result that meets the natural language matching, and use it as the tracking influence item; According to the tracking influence item, a tracking influence information acquisition path is obtained; Obtaining the target tracking influence information in the tracking area according to the tracking influence information acquisition path; According to the target tracking influence information, a target tracking influence factor is constructed; Establish a tracking model based on the tracking area, target invasion port, information on alien pests of third biological species and warning time information; Introduce the target tracking influencing factor into the tracking model to determine the tracking result within the tracking area; The tracking results are mapped in real time within the tracking area to obtain mapping results, and the mapping results and the pest monitoring data corresponding to the third biological species are sent together to the responsible platform.

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