CN114693146A - Natural protection area foreign invasive species risk early warning system and method - Google Patents
Natural protection area foreign invasive species risk early warning system and method Download PDFInfo
- Publication number
- CN114693146A CN114693146A CN202210363554.2A CN202210363554A CN114693146A CN 114693146 A CN114693146 A CN 114693146A CN 202210363554 A CN202210363554 A CN 202210363554A CN 114693146 A CN114693146 A CN 114693146A
- Authority
- CN
- China
- Prior art keywords
- species
- intrusion
- invasive
- early warning
- risk
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 27
- 230000009545 invasion Effects 0.000 claims description 54
- 238000012795 verification Methods 0.000 claims description 35
- 238000009792 diffusion process Methods 0.000 claims description 13
- 230000002265 prevention Effects 0.000 claims description 10
- 230000006399 behavior Effects 0.000 claims description 6
- 230000002452 interceptive effect Effects 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 6
- 239000000126 substance Substances 0.000 claims description 3
- 238000005457 optimization Methods 0.000 description 8
- 230000005540 biological transmission Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Alarm Systems (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Abstract
The invention relates to a foreign invasive species risk early warning system and a foreign invasive species risk early warning method for a natural protected area, which comprise the following steps: s1, carrying out region division on the natural protected area, and acquiring and storing species images for dividing each region in real time; s2, comparing the species image with an external invasive species image in a pre-constructed external invasive species image database, and identifying an external invasive species; s3, performing risk early warning on the identified foreign invasive species based on a preset invasive threshold of the foreign invasive species; the intrusion threshold is determined by the risk level of the external intrusion species invading each area, and the intrusion threshold is set by taking the divided areas as units. According to the invention, the natural protected area is divided into a plurality of area grids, the grids are used as intrusion threshold value units, the risk level and the intrusion threshold value of each external intrusion species to each area grid are constructed, the rapid intrusion early warning of the external intrusion species is carried out, the intrusion judgment is rapid, and the early warning is timely.
Description
Technical Field
The invention belongs to the field of environmental protection, and particularly relates to a natural protected area foreign invasive species risk early warning system and method.
Background
Currently, globally, invasion of foreign species has become the second most damaging factor that severely affects biodiversity following habitat disruption.
At present, for the invasion of foreign species, a manual daily patrol monitoring method is generally adopted for protection, but the problems of untimely discovery, inaccurate positioning and long analysis time of the foreign invasive species exist, and the factors can cause untimely early warning of the foreign invasive species and the failure of timely and effective protection of a natural protected area.
Disclosure of Invention
The present invention is directed to a system and a method for early warning the risk of invasive species in a natural protected area.
The invention realizes the purpose through the following technical scheme:
a risk early warning method for invading species outside a natural conservation area comprises the following steps:
s1, carrying out region division on the natural protected area, and acquiring and storing species images of each divided region in real time;
s2, comparing the species image with an external invasive species image in a pre-constructed external invasive species image database, and identifying an external invasive species;
s3, performing risk early warning on the identified foreign invasive species based on a preset invasive threshold of the foreign invasive species; wherein the content of the first and second substances,
the intrusion threshold is determined by the risk level of the external intrusion species invading each area, and the intrusion threshold is set by taking the divided areas as units;
and the risk level is set by the first invasion influence data of the natural ecosystem of each region and a preset risk standard by an external invasion species.
As a further optimization scheme of the present invention, in step S1, when the area of the natural reserve is divided into a plurality of area grids, at least one remote sensing image acquisition device is disposed in each area grid, and the remote sensing image acquisition device is configured to monitor each area grid to obtain a species image of each area.
As a further optimization scheme of the invention, when the area is divided in a natural protection area, the area grids and the remote sensing image acquisition equipment arranged in the area grids are numbered, so that the species image acquired by the remote sensing image acquisition equipment comprises area grid coding information, the area grid coding is used as the space position of the external invasive species, and the intrusion threshold is set by taking the area grid coding as a unit.
As a further optimization scheme of the invention, the first invasion influence data is extracted from the species image and comprises invasion data, diffusion data, hazard data and prevention and control difficulty data of the foreign invasion species in each region.
As a further optimization scheme of the invention, the preset risk standard is established on the basis of an invasion standard value, a diffusion standard value, a hazard standard value and a prevention and control difficulty standard value.
As a further optimization scheme of the present invention, the risk early warning method further includes a verification updating method for risk level and intrusion threshold, and the verification updating method includes:
s401, taking parts of all foreign invasive species as verification objects, not interfering the invasive behaviors of the foreign invasive species and monitoring the foreign invasive species in real time to obtain verification area images;
s402, identifying and extracting second intrusion influence data of the foreign intrusion species in the verification area image on the surrounding natural ecosystem by taking the existing species image of each area as a reference;
s403, calculating a total value of second intrusion influence data generated by the total amount of each external intrusion species based on the second intrusion influence data generated by part of the external intrusion species and the total amount of the external intrusion species, comparing the total value of the second intrusion influence data with a preset risk standard, and determining a new risk level and an intrusion threshold value.
As a further optimization scheme of the invention, the second invasion influence data comprise invasion data, diffusion data, hazard data and prevention and control difficulty data of the foreign invasion species in each region.
A foreign invasive species risk early warning system of a natural protected area comprises a remote sensing image acquisition device, a remote server, a species image database, a foreign invasive species image database and an administrator terminal;
the remote sensing image acquisition equipment is used for monitoring grids of each region, and the obtained species images of each region are output to the remote server and stored in the species image database;
the foreign invasive species image database is used for storing each foreign invasive species image invading the natural protected area;
the remote server receives the species images of all the regions, identifies an external invasion species and generates a risk early warning instruction based on a preset invasion threshold of the external invasion species;
and the administrator terminal receives the risk early warning instruction and carries out risk early warning implementation.
As a further optimization scheme of the invention, the remote server comprises a data receiving module, an identification module and a risk early warning module;
the data receiving module receives the species images of all the regions and sends the species images to the identification module;
the identification module identifies the foreign invasive species and an invasive region thereof based on the foreign invasive species image and sends the foreign invasive species and the invasive region to the risk early warning module;
the risk early warning module carries out risk early warning on the identified foreign invasive species based on a preset invasive threshold value of the foreign invasive species, reaches the invasive threshold value and sends a risk early warning instruction to the administrator terminal.
As a further optimization scheme of the invention, the remote server further comprises a verification updating module, wherein the verification updating module is connected with the data receiving module and the risk early warning module;
the verification updating module takes the existing species image of each region as a reference, receives the verification region image when part of the external invasive species invades each region under the condition of not interfering the invasive behavior through the data receiving module, identifies the verification region image through the identification module and determines second invasion influence data caused by the external invasive species on the surrounding natural ecosystem;
and the verification updating module calculates a total value of second intrusion influence data generated by the total amount of each external intrusion species based on the second intrusion influence data generated by part of the external intrusion species and the total amount of the external intrusion species, compares the total value of the second intrusion influence data with a preset risk standard, determines a new risk level and an intrusion threshold value, and updates the new risk level and the intrusion threshold value to the risk early warning module.
The invention has the beneficial effects that:
1) according to the invention, the natural protected area is divided into a plurality of area grids, the grids are used as intrusion threshold value units, the intrusion threshold values of all external intrusion species are constructed according to the risk level of the external intrusion species intruding into each area, the external intrusion species are quickly intruded and early warned, the early warning of the external intrusion species in the natural protected area at a kilometer scale can be realized, and the threat to a natural ecosystem is avoided;
2) according to the method, the area grids are numbered, and the number is used as the intrusion threshold value of the foreign invasive species, so that early warning is fast and timely when risk early warning is carried out on monitored foreign invasive species subsequently, the processing process is simple, fast and effective, and early warning can be responded in time for dividing more grid areas;
3) according to the invention, the risk early warning module is verified by adopting a method that partial species do not interfere with the invasion behaviors of the species, so that more real and accurate risk levels and invasion thresholds are determined and updated into the risk early warning module, and the obtained risk early warning information is more accurate and more suitable for actual conditions.
Drawings
FIG. 1 is an overall system block diagram of the present invention.
In the figure: 1. a remote sensing image acquisition device; 11. a camera; 12. a data transmission module; 2. a remote server; 21. a data receiving module; 22. an identification module; 23. a risk early warning module; 24. a verification update module; 3. a species image database; 4. an alien invasive species image database; 5. and an administrator terminal.
Detailed Description
The present application will now be described in further detail with reference to the drawings, it should be noted that the following detailed description is given for illustrative purposes only and is not to be construed as limiting the scope of the present application, as those skilled in the art will be able to make numerous insubstantial modifications and adaptations to the present application based on the above disclosure.
In the description of the present invention, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention; in the description of the present invention, the meaning of "plurality" or "a plurality" is two or more unless otherwise specified.
Example 1
As shown in fig. 1, the early warning system for the risk of the foreign invasive species in the natural protected area comprises a remote sensing image acquisition device 1, a remote server 2, a species image database 3, a foreign invasive species image database 4 and an administrator terminal 5;
the remote sensing image acquisition equipment 1 extends over all the areas divided in the natural protection area, and the remote sensing image acquisition equipment 1 in each area comprises at least one remote sensing image acquisition equipment arranged in the area; the remote sensing image acquisition equipment comprises a camera 11 and a data transmission module 12, wherein the camera 11 monitors each region in real time to obtain species images of each region, and the species images are transmitted to the remote server 2 through the data transmission module 12;
the foreign invasive species image database 4 is used for storing each foreign invasive species image invading the natural protected area;
the remote server 2 receives the species images of the regions, identifies an external invasion species and generates a risk early warning instruction based on a preset invasion threshold of the external invasion species; in particular, the method comprises the following steps of,
the remote server 2 is connected with a species image database 3 and an alien invasive species image database 4; the remote server 2 comprises a data receiving module 21, an identification module 22 and a risk early warning module 23;
the data receiving module 21 is configured to receive the species images of the regions and send the species images to the identification module 22;
the identification module 22 identifies an external invasive species in the species image based on the external invasive species image, identifies grid coding information attached to the species image, determines an invasive region where the external invasive species is located, and finally sends the external invasive species information and the invasive region (grid coding information) to the risk early warning module 23;
the risk early warning module 23 carries out risk early warning on the identified foreign invasive species based on a preset invasive threshold value of the foreign invasive species, and sends a risk early warning instruction to the administrator terminal 5 when the invasive threshold value is reached; each foreign invasive species corresponds to an invasive threshold (i.e., an area grid which cannot be invaded), and when each foreign invasive species invades to the corresponding invasive threshold (i.e., the area grid) of the species, risk early warning can be generated.
The remote server 2 further comprises a verification updating module 24, and the verification updating module 24 is connected with the data receiving module 21 and the risk early warning module 23;
the verification updating module 24 takes the existing species image of each region as a reference, receives the verification region image when part of the external invasive species under the condition of not interfering the invasive behavior invades each region through the data receiving module 21, identifies the verification region image through the identification module 22, and determines second invasion influence data caused by the external invasive species to the surrounding natural ecosystem; the verification updating module 24 calculates a total value of second intrusion influence data generated by the total amount of each foreign intrusion species based on the second intrusion influence data generated by part of the foreign intrusion species and the total amount of the foreign intrusion species, compares the total value of the second intrusion influence data with a preset risk standard, determines a new risk level and an intrusion threshold, and updates the new risk level and the intrusion threshold to the risk early warning module 23.
The method for carrying out the risk early warning of the invasive species outside the natural protected area by adopting the risk early warning system comprises the following steps:
s1, carrying out region division on the natural protected area, and acquiring and storing species images of each divided region in real time;
s2, the remote server 2 compares the species image with an external invasion species image in a pre-constructed external invasion species image database to identify an external invasion species;
s3, performing risk early warning on the identified foreign invasive species based on a preset invasive threshold of the foreign invasive species; wherein the content of the first and second substances,
the intrusion threshold is determined by the risk level of the external intrusion species invading each area, and the intrusion threshold is set by taking the divided areas as units;
and the risk level is set by the first invasion influence data of the natural ecosystem of each region and a preset risk standard by an external invasion species.
The first invasion influence data are extracted from the species image and comprise invasion data, diffusion data, hazard data and prevention and control difficulty data of the foreign invasion species in each region. In the scheme, the invasion data can be the number of the foreign invasion species invading the natural ecosystem, the diffusion data can be the diffusion area, speed and the like of the foreign invasion species, the harm data can be the degree of the external invasion species forcing the existing species in the natural ecosystem, and the control difficulty can be the difficulty degree of controlling the foreign invasion species.
The preset risk standard is established on the basis of an intrusion standard value, a diffusion standard value, a hazard standard value and a prevention and control difficulty standard value. In the scheme, the invasion standard value is a quantity control standard of the foreign invasion species, the diffusion standard value is a diffusion area standard of the foreign invasion species, the hazard standard value is an imminent hazard standard of the foreign invasion species on existing species in a natural ecological system, the prevention and control difficulty standard value is a difficulty standard for controlling the foreign invasion species, and the standard is equivalent to a risk threshold of the first invasion influence data.
And integrating the intrusion influence data and the risk standard to set the risk level of the foreign intrusion species invading each area, determining the risk level after comprehensively judging the first intrusion influence data exceeding the risk standard, and determining the area as the invasion threshold of the foreign intrusion species when reaching a certain risk level.
It should be noted that, when the area of the natural protected area is divided, the area of the natural protected area is divided into a plurality of area grids and numbered, and the area grids may be used as a grid scale by dividing the area grids to install the remote sensing image acquisition device 1: arranging at least one remote sensing image acquisition device in each area grid, and marking and numbering the remote sensing image acquisition devices 1 according to the area grid numbers, so that the area grid numbers attached to the species images of all areas acquired by the remote sensing image acquisition devices 1 are transmitted to the remote server 2 together; for example, the number of the regional grid is (i), and when the species image collected by the remote sensing image collection equipment in the regional grid is uploaded to the remote server 2, the image name carries the number of (i);
the remote server 2 identifies the foreign invasion species and the regional codes in the species image, the remote server 2 determines the spatial position of the foreign invasion species based on the regional codes, for example, the remote server 2 identifies that the regional image with the number I contains the foreign invasion species A, and the spatial position of the species A can be determined as a regional grid I;
when the risk level of the species A in the regional grids I and III reaches more than two levels, determining the intrusion threshold of the species A as the regional grids I and III; the intrusion threshold values of all the foreign intrusion species and the corresponding risk levels thereof are stored in an intrusion database in the remote server 2, and the intrusion databases are respectively and independently stored according to the names of the foreign intrusion species;
the corresponding intrusion database is searched according to species types, so that the intrusion threshold and the risk level of the invasive species can be quickly searched, when the intrusion database contains the intrusion threshold, namely the corresponding area grid, risk early warning is carried out, specifically, an early warning measure implementation instruction can be sent to the administrator terminal 5 through the remote server 2, management and control are carried out as soon as possible, and when the intrusion database does not contain the intrusion threshold, the risk early warning is not carried out.
S4, verifying and updating the risk level and the intrusion threshold value by adopting a verification updating method;
s401, taking parts of all foreign invasive species as verification objects without interfering the invasive behaviors, monitoring the external invasive species by using the remote sensing image acquisition equipment 1 to obtain verification area images, and sending the verification area images to the data receiving module 21 of the remote server 2;
s402, with the existing species image of each region as a reference, the identification module 22 identifies the verification region image by using an image identification technology, and determines second intrusion influence data of the foreign intrusion species on the surrounding natural ecosystem, wherein the second intrusion influence data comprises intrusion data, diffusion data, hazard data and prevention and control difficulty data of the foreign intrusion species in each region, and the second intrusion influence data is the same as the first intrusion influence data;
s403, the verification update module 24 calculates a total value of second intrusion influence data generated by the total amount of each external intrusion species based on the second intrusion influence data generated by a part of the external intrusion species and the total amount of the external intrusion species, compares the total value of the second intrusion influence data with a preset risk standard, determines a new risk level and an intrusion threshold, and updates the new risk level and the intrusion threshold to the risk early warning module 23.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (10)
1. A risk early warning method for invading species outside a natural protected area is characterized by comprising the following steps: the method comprises the following steps:
s1, carrying out region division on the natural protected area, and acquiring and storing species images for dividing each region in real time;
s2, comparing the species image with an external invasive species image in a pre-constructed external invasive species image database, and identifying an external invasive species;
s3, performing risk early warning on the identified foreign invasive species based on a preset invasive threshold of the foreign invasive species; wherein the content of the first and second substances,
the intrusion threshold is determined by the risk level of the external intrusion species invading each area, and the intrusion threshold is set by taking the divided areas as units;
and the risk level is set by the first invasion influence data of the natural ecosystem of each region and a preset risk standard by an external invasion species.
2. The method for early warning the risk of invasive species in nature-protected area according to claim 1, wherein: in step S1, when the area of the natural protected area is divided into a plurality of area grids, at least one remote sensing image acquisition device is disposed in each area grid, and the remote sensing image acquisition device is used to monitor each area grid to obtain a species image of each area.
3. The method for early warning the risk of invasive species in nature-protected area according to claim 2, wherein: when the area is divided in a natural protection area, the area grids and the remote sensing image acquisition equipment installed in the area grids are numbered, so that the species images acquired by the remote sensing image acquisition equipment comprise area grid coding information, the area grid coding is used as the space position of an external invasive species, and the intrusion threshold value is set by taking the area grid coding as a unit.
4. The method for early warning the risk of invasive species in nature-protected area according to claim 1, wherein: the first invasion influence data are extracted from the species image and comprise invasion data, diffusion data, hazard data and prevention and control difficulty data of the foreign invasion species in each region.
5. The method for pre-warning the risk of invading species in the natural protected area as claimed in claim 4, wherein: the preset risk standard is established on the basis of an intrusion standard value, a diffusion standard value, a hazard standard value and a prevention and control difficulty standard value.
6. The method for early warning the risk of invasive species in nature-protected area according to claim 1, wherein: the method also comprises a verification updating method of the risk level and the intrusion threshold, and the verification updating method comprises the following steps:
s401, taking parts of all foreign invasive species as verification objects, not interfering the invasive behaviors of the foreign invasive species and monitoring the foreign invasive species in real time to obtain verification area images;
s402, identifying and extracting second intrusion influence data of the foreign intrusion species in the verification area image on the surrounding natural ecosystem by taking the existing species image of each area as a reference;
s403, calculating a total value of second intrusion influence data generated by the total amount of each external intrusion species based on the second intrusion influence data generated by part of the external intrusion species and the total amount of the external intrusion species, comparing the total value of the second intrusion influence data with a preset risk standard, and determining a new risk level and an intrusion threshold value.
7. The method for pre-warning the risk of invading species in the natural protected area as claimed in claim 6, wherein: the second intrusion influence data comprise intrusion data, diffusion data, hazard data and prevention and control difficulty data of the foreign intrusion species in each area.
8. A risk early warning system for invasive species outside a nature protected area is characterized in that: the system comprises remote sensing image acquisition equipment, a remote server, a species image database, an alien invasive species image database and an administrator terminal;
the remote sensing image acquisition equipment is used for monitoring grids of each region, and the obtained species images of each region are output to the remote server and stored in the species image database;
the foreign invasive species image database is used for storing each foreign invasive species image invading the natural protected area;
the remote server receives the species images of all the regions, identifies an external invasion species and generates a risk early warning instruction based on a preset invasion threshold of the external invasion species;
and the administrator terminal receives the risk early warning instruction and carries out risk early warning implementation.
9. The natural protection site foreign invasive species risk early warning system according to claim 8, wherein: the remote server comprises a data receiving module, an identification module and a risk early warning module;
the data receiving module receives the species images of all the regions and sends the species images to the identification module;
the identification module identifies the foreign invasive species and an invasive region thereof based on the foreign invasive species image and sends the foreign invasive species and the invasive region to the risk early warning module;
the risk early warning module carries out risk early warning on the identified foreign invasive species based on a preset invasive threshold value of the foreign invasive species, reaches the invasive threshold value and sends a risk early warning instruction to the administrator terminal.
10. The system of claim 9, wherein the system comprises: the remote server also comprises a verification updating module, and the verification updating module is connected with the data receiving module and the risk early warning module;
the verification updating module takes the existing species image of each region as a reference, receives the verification region image when partial foreign invasive species invade each region under the condition of not interfering the invasion action through the data receiving module, identifies the verification region image through the identification module and determines second invasion influence data caused by the foreign invasive species on the surrounding natural ecosystem;
and the verification updating module calculates a total value of second intrusion influence data generated by the total amount of each external intrusion species based on the second intrusion influence data generated by part of the external intrusion species and the total amount of the external intrusion species, compares the total value of the second intrusion influence data with a preset risk standard, determines a new risk level and an intrusion threshold value, and updates the new risk level and the intrusion threshold value to the risk early warning module.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210065278 | 2022-01-20 | ||
| CN2022100652781 | 2022-01-20 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114693146A true CN114693146A (en) | 2022-07-01 |
Family
ID=82142081
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210363554.2A Pending CN114693146A (en) | 2022-01-20 | 2022-04-08 | Natural protection area foreign invasive species risk early warning system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114693146A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116092016A (en) * | 2023-04-06 | 2023-05-09 | 成都超有范儿科技有限公司 | System and method based on cloud technology multi-dimensional recognition function |
| CN116304600A (en) * | 2023-03-06 | 2023-06-23 | 四川省林业科学研究院 | Foreign invasive species early warning method and system based on big data analysis |
| CN117037417A (en) * | 2023-08-11 | 2023-11-10 | 江苏泓鑫科技有限公司 | Intelligent identification pile fusion device |
-
2022
- 2022-04-08 CN CN202210363554.2A patent/CN114693146A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116304600A (en) * | 2023-03-06 | 2023-06-23 | 四川省林业科学研究院 | Foreign invasive species early warning method and system based on big data analysis |
| CN116304600B (en) * | 2023-03-06 | 2024-02-02 | 四川省林业科学研究院 | Foreign invasive species early warning method and system based on big data analysis |
| CN116092016A (en) * | 2023-04-06 | 2023-05-09 | 成都超有范儿科技有限公司 | System and method based on cloud technology multi-dimensional recognition function |
| CN116092016B (en) * | 2023-04-06 | 2023-06-27 | 成都超有范儿科技有限公司 | System and method based on cloud technology multi-dimensional recognition function |
| CN117037417A (en) * | 2023-08-11 | 2023-11-10 | 江苏泓鑫科技有限公司 | Intelligent identification pile fusion device |
| CN117037417B (en) * | 2023-08-11 | 2024-01-26 | 江苏泓鑫科技有限公司 | Intelligent identification pile fusion device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114693146A (en) | Natural protection area foreign invasive species risk early warning system and method | |
| CN110751451A (en) | Laboratory big data management system | |
| CN112004067A (en) | Video monitoring method, device and storage medium | |
| CN109944637B (en) | Mine water disaster early warning system | |
| CN114120579A (en) | Intelligent well lid monitoring system, method, equipment and storage medium | |
| CN115326661B (en) | Atmospheric environment-based monitoring method and system and readable storage medium | |
| CN115512518B (en) | Method and device for processing early warning information of multiple disasters based on space-time correlation | |
| CN112612680A (en) | Message warning method, system, computer equipment and storage medium | |
| CN115880631A (en) | Power distribution station fault identification system, method and medium | |
| CN116740883A (en) | Security monitoring alarm system based on cloud computing | |
| CN117439916A (en) | Network security test evaluation system and method | |
| CN111860187A (en) | High-precision worn mask identification method and system | |
| CN116579601B (en) | Mine safety production risk monitoring and early warning system and method | |
| CN113011477A (en) | Solar irradiation data cleaning and complementing system and method | |
| CN111308241A (en) | Lightning protection facility online safety monitoring method and device based on GIS platform | |
| CN114358165A (en) | Detection method for preventing ground fault of photovoltaic module based on multi-source data fusion | |
| CN113705988B (en) | Method and system for managing performance of staff, storage medium and intelligent terminal | |
| CN115841730A (en) | Video monitoring system and abnormal event detection method | |
| CN115587709A (en) | Enterprise safety production management method, system and storage medium | |
| CN113178060A (en) | Wild animal AI detection method and detection system | |
| CN117239934B (en) | Big data-based power equipment monitoring method and system | |
| CN117115755B (en) | Power operation site violation monitoring alarm recognition system based on image recognition | |
| CN116739357B (en) | Multi-mode fusion perception city existing building wide area monitoring and early warning method and device | |
| KR20140028489A (en) | Disaster prediction chasing system and method thereof | |
| CN115619222B (en) | Early warning information processing method and device for multiple disasters and terminal equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |