CN117109664A - Wetland ecological environment monitoring device and system - Google Patents

Wetland ecological environment monitoring device and system Download PDF

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Publication number
CN117109664A
CN117109664A CN202311360274.7A CN202311360274A CN117109664A CN 117109664 A CN117109664 A CN 117109664A CN 202311360274 A CN202311360274 A CN 202311360274A CN 117109664 A CN117109664 A CN 117109664A
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data
wetland
species
biological
basic data
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CN117109664B (en
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华雷
陈朋龙
龚海峰
杨慧珠
赖依萍
白雪原
罗隽
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South China Institute of Environmental Science of Ministry of Ecology and Environment
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South China Institute of Environmental Science of Ministry of Ecology and Environment
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations

Abstract

The invention relates to the technical field of environmental monitoring, and particularly discloses a wetland ecological environment monitoring device and system, wherein the device comprises a first acquisition module, a second acquisition module and a data processing module, wherein the first acquisition module is used for acquiring basic data in a wetland range, and the basic data comprise water body data, plant data, biological data and atmospheric data; the second acquisition module is used for selecting a plurality of fixed areas in the wetland based on the food network and biological data in the wetland range and acquiring species data in the fixed areas; according to the invention, the first acquisition module and the second acquisition module acquire corresponding data and are processed by the data processing module to acquire the biological state coefficient, and finally the warning module acquires the warning strategy based on the basic data and the biological state coefficient, so that warning can be timely sent out when the basic data is abnormal and before the basic data is abnormal, related staff can have more reaction time to cope with malignant species invasion, and the protection effect on the wetland is improved.

Description

Wetland ecological environment monitoring device and system
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to a wetland ecological environment monitoring device and system.
Background
Wetland is one of the important types of ecological environment on earth, which has extremely strong environmental conditioning capacity, called "kidneys of earth". The method has the advantages that the condition information of the wetland can be timely obtained by carrying out environment monitoring on the wetland, and the method has important significance for monitoring and protecting the wetland.
The existing monitoring mode generally obtains various related wetland data, normalizes the parameters, sets a reasonable threshold range through a monitoring system, monitors the data fluctuation of each parameter, gives out a warning when certain data exceeds the reasonable threshold range, can timely find problems, and can help related staff to better protect the wetland environment.
The problem is that the current monitoring mode is to independently monitor various parameters, when monitoring data are abnormal, the abnormal reasons need to be comprehensively examined and judged in the field by depending on the experience of related workers, the efficiency of reaction judgment is low, the experience of the related workers is excessively depended, and especially for the common problem such as species invasion in the wetland, the traditional monitoring mode has long judging time, and the deep damage of the wetland composition can be caused by untimely reaction under the condition of malignant invasion of the species.
Considering the problem that the existing wetland monitoring mode has untimely response in the face of species invasion, the wetland composition cannot be manually intervened and maintained in time, and the wetland function is protected, the invention provides a wetland ecological environment monitoring device and system.
Disclosure of Invention
The invention aims to provide a wetland ecological environment monitoring device and system, which solve the following technical problems:
how to timely reflect the phenomenon of species invasion of the wetland, is convenient for timely manual intervention and maintenance of the wetland composition, and protects the functions of the wetland.
The aim of the invention can be achieved by the following technical scheme:
a wetland ecological environment monitoring device and system comprises:
the first acquisition module is used for acquiring basic data in the range of the wetland, wherein the basic data comprise water body data, plant data, biological data and atmospheric data;
the second acquisition module is used for selecting a plurality of fixed areas in the wetland based on the food network and biological data in the wetland range and acquiring species data in the fixed areas;
the data processing module is used for processing the basic data and the species data to obtain a biological state coefficient;
and the warning module is used for generating a warning strategy according to the basic data and the biological state coefficient.
Through the technical scheme: the composition scheme of the wetland ecological environment monitoring system is provided, corresponding data are acquired through the first acquisition module and the second acquisition module and are processed by the data processing module to obtain biological state coefficients, finally, the warning module obtains a warning strategy based on the basic data and the biological state coefficients, warning can be timely sent out when the basic data is abnormal and before the basic data is abnormal, associates maintaining the conventional monitoring function enable relevant staff to have more reaction time to cope with malignant species invasion, and the protection effect on the wetland is improved.
As a further technical scheme of the invention: the step of selecting a number of fixed areas within the wetland based on the food chains and biological data within the wetland comprises:
s1, constructing a food net in the wetland range;
s2, performing reliability scoring on species number acquisition on each available number of organisms in the food network, and then performing weighted summation on the reliability scores of all the organisms and the level numbers of corresponding food chains;
s3, selecting the living beings with the highest numerical values after weighted summation as reference living beings, and selecting a part of areas from the distribution areas of the reference living beings as first areas;
s4, selecting a partial region in the distribution region of at least two organisms with the highest reliability scores, which are positioned on the same food chain with the reference organism, as a second region;
s5, setting the combination of the first area and the second area as a fixed area.
Through the technical scheme: the method comprises the steps of selecting a plurality of fixed areas in the wetland, selecting a reference organism with the greatest influence on the food network by the food network constructed in the wetland, then acquiring other biomass with the reference organism being in the same food chain, judging the state of the wetland by the change of the quantity between the other biomass with the reference organism being in the same food chain and the reference organism, and incorporating the influence between the biological chains into a monitoring system, so that the change of the quantity of the organisms can be timely found at the initial stage of species invasion.
As a further technical scheme of the invention: processing the basic data and the species data to obtain biological state coefficients, wherein the process comprises the following steps:
establishing a plurality of rectangular coordinate systems according to the species type number in the species data collected in the fixed area;
based on the acquired species data, respectively establishing reference curves of the number of species changing along with time in a plurality of coordinate systems, wherein the reference curve corresponding to a standard organism in the reference curves is a first change curve, and the reference curves corresponding to at least two other organisms on the same food chain with the standard organism are a second change curve and a third change curve;
and processing the first change curve, the second change curve and the third change curve to obtain biological state coefficients.
As a further technical scheme of the invention: the process of processing the first change curve, the second change curve and the third change curve to obtain the biological state coefficient comprises the following steps:
acquiring the change amplitude of the accumulated state of the second change curve and the third change curve in the same detection duration relative to the accumulated state of the first change curve;
all the variation amplitudes are subjected to exponential amplification and then weighted summation to obtain the biological state coefficient.
Through the technical scheme: the biological state coefficient is obtained based on the change of the number of different organisms in the same time period, that is to say, the biological state coefficient reflects the state of the change of the number of organisms in a certain time period, so that the biological state coefficient can assist in judging whether the wetland is invaded by organisms under the condition that all basic data of the wetland are not abnormal.
As a further technical scheme of the invention: the process of generating the warning strategy according to the basic data and the biological state coefficient comprises the following steps:
comparing all the basic data with the corresponding preset safety threshold range one by one, and sending out an alarm when the basic data exceeds the preset safety threshold range;
under the condition that the basic data does not exceed the preset safety threshold range, comparing the biological state coefficient with a preset intervalAnd (3) performing comparison:
if the biological state coefficient falls into the preset comparison intervalThe method shows that the quantity of the biological species of the current wetland does not change greatly, and an alarm does not need to be sent out;
if the biological state coefficient is located in the preset comparison intervalAnd if the number of the current wetland partial species is abnormal, an alarm needs to be sent out and an analysis report needs to be provided.
As a further technical scheme of the invention: the acquisition process of the analysis report comprises the following steps:
judging whether the acquired reference biomass quantity variation accords with the empirical data;
if yes, acquiring all the variation amplitudes and uploading the variation amplitudes to a warning module, and judging the variation amplitude of the biomass in the current monitoring state according to the numerical value of the variation amplitudes;
if the biological quantity does not accord with the reference biological quantity, judging whether the reference biological quantity is upward floating change or downward floating change, and uploading a judging result to a warning module, wherein the position of the organism invaded by the species relative to the reference organism can be primarily judged according to whether the reference biological quantity is upward floating change or downward floating change.
Through the technical scheme: the process of acquiring the warning strategy through the estimated reference biological quantity biological state coefficient is provided, an alarm can be sent out when the basic data exceeds the preset safety threshold range, and the judgment of abnormal quantity ratio according to the biological state coefficient can be carried out under the condition that the basic data does not exceed the preset safety threshold range, and an analysis report is provided for the work of staff, so that the staff is assisted in analyzing the biological chain state of the invading organism, and the searching is facilitated.
As a further technical scheme of the invention: the mode of species number acquisition in the fixed area comprises the step of taking pictures of the living beings in the fixed area through a camera shooting activity, and the total number of the living beings in the wetland is obtained through scaling.
As a further technical scheme of the invention: the obtaining process of the reliability score obtained by the number of the species in the fixed area comprises the following steps:
determining a number of species to be detected and a plurality of detection areas where the species is present;
the method comprises the steps that a first quantity of the living beings in the wetland is obtained by shooting pictures of the living beings in a fixed area through cameras in a plurality of detection areas, and a second quantity of the living beings in the wetland is obtained by sampling estimation through a system in a similar time;
acquiring variances among the ratios of the first quantity and the second quantity;
and normalizing the variance data to obtain a reliability score.
The invention also provides a wetland ecological environment monitoring device which is characterized in that,
the first acquisition equipment is used for acquiring basic data in the range of the wetland, wherein the basic data comprise water body data, plant data, biological data and atmospheric data;
the second acquisition equipment is used for selecting a plurality of fixed areas in the wetland based on the food network and biological data in the range of the wetland and acquiring species data in the fixed areas;
the data processing equipment is used for processing the basic data and the species data to obtain biological state coefficients;
the warning device generates a warning strategy according to the basic data and the biological state coefficient and displays the warning strategy;
and a communication device for connecting the devices in communication.
The invention has the beneficial effects that:
(1) According to the invention, the first acquisition module and the second acquisition module acquire corresponding data and are processed by the data processing module to acquire the biological state coefficient, and finally the warning module acquires the warning strategy based on the basic data and the biological state coefficient, so that warning can be timely sent out when the basic data is abnormal and before the basic data is abnormal, and associates maintaining the conventional monitoring function can enable related staff to have more reaction time to cope with malignant species invasion, thereby improving the protection effect on the wetland.
(2) According to the invention, the reference organisms with the greatest influence on the food network are selected through the food network constructed in the wetland, then the other biomass with the estimated quantity of the reference organisms in the same food chain is obtained, the state of the wetland can be judged through the quantity change between the other biomass with the estimated quantity of the reference organisms in the same food chain and the reference organisms, the influence between the biological chains is incorporated into a monitoring system, and the change of the biomass can be timely found at the initial stage of species invasion.
(3) The biological state coefficient is obtained through the quantity change of different organisms in the same time period, so that whether the wetland is invaded by organisms can be judged in an assisted manner under the condition that all basic data of the wetland are not abnormal.
(4) According to the invention, through the process of acquiring the warning strategy by the estimated reference biological quantity biological state coefficient, an alarm can be sent out when the basic data exceeds the preset safety threshold range, and under the condition that the basic data does not exceed the preset safety threshold range, the judgment is that the quantity ratio is abnormal according to the biological state coefficient, an analysis report is provided for the work of staff, the staff is assisted in analyzing the biological chain state of the invading organism, and the searching is facilitated.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a diagram of the structural composition of an environmental monitoring system of the present invention;
fig. 2 is a flowchart of the acquisition step of the fixed area of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, in one embodiment, a wetland environmental monitoring system is provided, comprising:
the first acquisition module is used for acquiring basic data in the range of the wetland, wherein the basic data comprise water body data, plant data, biological data and atmospheric data;
the second acquisition module is used for selecting a plurality of fixed areas in the wetland based on the food network and biological data in the wetland range and acquiring species data in the fixed areas;
the data processing module is used for processing the basic data and the species data to obtain a biological state coefficient;
and the warning module is used for generating a warning strategy according to the basic data and the biological state coefficient.
Through the technical scheme: the embodiment provides a composition scheme of the wetland ecological environment monitoring system, corresponding data are acquired through the first acquisition module and the second acquisition module and processed by the data processing module to obtain biological state coefficients, and finally the warning module obtains a warning strategy based on the basic data and the biological state coefficients, so that warning can be timely sent out when the basic data is abnormal and before the basic data is abnormal, associates maintaining the conventional monitoring function can enable relevant staff to have more reaction time to cope with malignant species invasion, and the protection effect on the wetland is improved.
The step of selecting a number of fixed areas within the wetland based on the food chains and biological data within the wetland comprises:
s1, constructing a food net in the wetland range;
s2, performing reliability scoring on species number acquisition on each available number of organisms in the food network, and then performing weighted summation on the reliability scores of all the organisms and the level numbers of corresponding food chains;
the process for obtaining the reliability score of the acquisition of the number of the species in the fixed area comprises the following steps:
determining a number of species to be detected and a plurality of detection areas where the species is present;
the method comprises the steps that a first quantity of the living beings in the wetland is obtained by shooting pictures of the living beings in a fixed area through cameras in a plurality of detection areas, and a second quantity of the living beings in the wetland is obtained by sampling estimation through a system in a similar time;
acquiring variances among the ratios of the first quantity and the second quantity;
and normalizing the variance data to obtain a reliability score.
As an example, the reliability score may be found by:wherein (1)>For normalizing the coefficient, belonging to the empirical constant, +.>Is the number of detection areas, +.>Represents->The detection area->Is a first quantity, +.>Is a second quantity, +.>Is the first number in all detection areas +.>Average value of (2);
then, throughObtaining a summation value to obtain a summation value phi, wherein ∈>Is a preset first weight coefficient, +.>Is the number of levels corresponding to the food chain.
S3, selecting the living beings with the highest numerical values after weighted summation as reference living beings, and selecting a part of areas from the distribution areas of the reference living beings as first areas;
s4, selecting a partial region in the distribution region of at least two organisms with the highest reliability scores, which are positioned on the same food chain with the reference organism, as a second region;
s5, setting the combination of the first area and the second area as a fixed area, wherein obviously the species data acquired in the fixed area is based on the number of organisms acquired in the fixed area by the corresponding organisms, for example, the number of reference organisms acquired in the first area is taken as the species data.
In this embodiment, a step of selecting a plurality of fixed areas in the wetland is provided, a reference organism with the greatest influence on the food network is selected through the food network constructed in the wetland, then the other biomass with the reference organism being in the same estimated number of food chains is obtained, the state of the wetland can be judged through the change of the number between the other biomass with the reference organism being in the same estimated number of food chains and the reference organism, the influence between the biological chains is incorporated into the monitoring system, and the change of the biomass can be timely found at the initial stage of species invasion.
Processing the basic data and the species data to obtain biological state coefficients, wherein the process comprises the following steps:
establishing a plurality of rectangular coordinate systems according to the species type number in the species data collected in the fixed area;
based on the acquired species data, respectively establishing reference curves of the number of the species changing along with time in a plurality of coordinate systems, wherein the reference curve corresponding to a standard organism in the reference curves is a first change curve, and the reference curves corresponding to at least two other organisms on the same food chain with the standard organism are a second change curve and a third change curve and more;
and processing the first change curve, the second change curve and the third change curve to obtain biological state coefficients.
The process of processing the first change curve, the second change curve and the third change curve to obtain the biological state coefficient comprises the following steps:
acquiring the change amplitude of the accumulated state of the second change curve and the third change curve in the same detection duration relative to the accumulated state of the first change curve;
all the variation amplitudes are subjected to exponential amplification and then weighted summation to obtain the biological state coefficient.
As an example, the biological state coefficient may be found by:
wherein,biological state coefficient,/->And->Is a preset second weight coefficient, +.>A start time point and an end time point of a detection duration, < >>Is a first change curve, +.>Is a second change curve, +.>Is a third change curve, +.>Is a preset index coefficient and is positive, and can change biological state coefficient +.>Sensitivity to changes in the values of the three curves, preferably +.>
In this embodiment, a process and a specific method for obtaining a biological state coefficient are provided, where the biological state coefficient is obtained based on the number change of different living beings in the same time period in the process of obtaining, that is, the biological state coefficient reflects the state of the change of the number of living beings in a certain time period, so that it is possible to assist in determining whether the wetland is invaded by living beings or not under the condition that all basic data of the wetland are not abnormal.
The process of generating the warning strategy according to the basic data and the biological state coefficient comprises the following steps:
comparing all the basic data with the corresponding preset safety threshold range one by one, and sending out an alarm when the basic data exceeds the preset safety threshold range;
under the condition that the basic data does not exceed the preset safety threshold range, comparing the biological state coefficient with a preset intervalAnd (3) performing comparison:
if the biological state coefficient falls into the preset comparison intervalThe method shows that the quantity of the biological species of the current wetland does not change greatly, and an alarm does not need to be sent out;
if the biological state coefficient is located in the preset comparison intervalIf the number of the species in the current wetland part is abnormal, the biological invasion is possible, and an alarm needs to be sent out and an analysis report needs to be provided.
The acquisition process of the analysis report comprises the following steps:
judging whether the acquired reference biomass quantity variation accords with the empirical data;
if yes, acquiring all the variation amplitudes and uploading the variation amplitudes to a warning module, and judging the variation amplitude of the biomass in the current monitoring state according to the numerical value of the variation amplitudes;
if the biological quantity does not accord with the reference biological quantity, judging whether the reference biological quantity is upward floating change or downward floating change, and uploading a judging result to a warning module, wherein the position of the organism invaded by the species relative to the reference organism can be primarily judged according to whether the reference biological quantity is upward floating change or downward floating change.
In this embodiment, a process of acquiring a warning policy through an estimated reference biological quantity biological state coefficient is provided, an alarm can be sent out when the basic data exceeds a preset safety threshold range, or an analysis report is provided for the work of a worker according to the abnormal quantity occupation ratio judged by the biological state coefficient under the condition that the basic data does not exceed the preset safety threshold range, so that the worker is assisted to analyze the biological chain state of the invading living beings, and searching is facilitated.
The mode of acquiring the number of the species in the fixed area comprises acquiring a picture of the living beings in the fixed area through the camera shooting activity, and acquiring the total number of the living beings in the wetland through scaling.
The invention also provides a wetland ecological environment monitoring device which is characterized in that,
the first collecting device is used for collecting basic data in the range of the wetland, the basic data comprises water body data, plant data, biological data and atmospheric data, the first collecting device for collecting the water body data can be a COD sensor, an ammonia nitrogen sensor and the like as an example, the first collecting device for collecting the plant data can be a high-altitude camera, a satellite and the like, the first collecting device for collecting the biological data can be a fixed camera or a sound sensor and the like, and the first collecting device for collecting the atmospheric data can be a sulfide sensor and the like;
the second acquisition equipment is used for selecting a plurality of fixed areas in the wetland based on the food network and biological data in the range of the wetland and acquiring species data in the fixed areas, and the second acquisition equipment is preferably a rotatable hidden camera fixed in the wetland;
the data processing equipment is used for processing the basic data and the species data to obtain biological state coefficients;
the warning device generates a warning strategy according to the basic data and the biological state coefficient and displays the warning strategy;
and a communication device for connecting the devices in communication.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.

Claims (9)

1. A wetland ecological environment monitoring system, comprising:
the first acquisition module is used for acquiring basic data in the range of the wetland, wherein the basic data comprise water body data, plant data, biological data and atmospheric data;
the second acquisition module is used for selecting a plurality of fixed areas in the wetland based on the food network and biological data in the wetland range and acquiring species data in the fixed areas;
the data processing module is used for processing the basic data and the species data to obtain a biological state coefficient;
and the warning module is used for generating a warning strategy according to the basic data and the biological state coefficient.
2. The wetland environmental monitoring system of claim 1 wherein the step of selecting a plurality of fixed areas within the wetland based on the food chains and biological data within the wetland comprises:
s1, constructing a food net in the wetland range;
s2, performing reliability scoring on species number acquisition on each available number of organisms in the food network, and then performing weighted summation on the reliability scores of all the organisms and the level numbers of corresponding food chains;
s3, selecting the living beings with the highest numerical values after weighted summation as reference living beings, and selecting a part of areas from the distribution areas of the reference living beings as first areas;
s4, selecting a partial region in the distribution region of at least two organisms with the highest reliability scores, which are positioned on the same food chain with the reference organism, as a second region;
s5, setting the combination of the first area and the second area as a fixed area.
3. The system of claim 1, wherein the processing of the base data and the species data to obtain the biological state coefficients comprises:
establishing a plurality of rectangular coordinate systems according to the species type number in the species data collected in the fixed area;
based on the acquired species data, respectively establishing reference curves of the number of species changing along with time in a plurality of coordinate systems, wherein the reference curve corresponding to a standard organism in the reference curves is a first change curve, and the reference curves corresponding to at least two other organisms on the same food chain with the standard organism are a second change curve and a third change curve;
and processing the first change curve, the second change curve and the third change curve to obtain biological state coefficients.
4. A wetland environmental monitoring system according to claim 3, wherein the process of processing the first, second and third profiles to obtain biological state coefficients comprises:
acquiring the change amplitude of the accumulated state of the second change curve and the third change curve in the same detection duration relative to the accumulated state of the first change curve;
all the variation amplitudes are subjected to exponential amplification and then weighted summation to obtain the biological state coefficient.
5. The system of claim 4, wherein the generating the alert strategy based on the base data and the biological state coefficients comprises:
comparing all the basic data with the corresponding preset safety threshold range one by one, and sending out an alarm when the basic data exceeds the preset safety threshold range;
under the condition that the basic data does not exceed the preset safety threshold range, comparing the biological state coefficient with a preset intervalAnd (3) performing comparison:
if the biological state coefficient falls into the preset comparison intervalThe method shows that the quantity of the biological species of the current wetland does not change greatly, and an alarm does not need to be sent out;
if the biological state coefficient is in the preset comparisonInterval ofAnd if the number of the current wetland partial species is abnormal, an alarm needs to be sent out and an analysis report needs to be provided.
6. The wetland environmental monitoring system according to claim 5, wherein the acquisition process of the analysis report comprises:
judging whether the acquired reference biomass quantity variation accords with the empirical data;
if yes, acquiring all the variation amplitudes and uploading the variation amplitudes to a warning module, and judging the variation amplitude of the biomass in the current monitoring state according to the numerical value of the variation amplitudes;
if the biological quantity does not accord with the reference biological quantity, judging whether the reference biological quantity is upward floating change or downward floating change, and uploading a judging result to a warning module, wherein the position of the organism invaded by the species relative to the reference organism can be primarily judged according to whether the reference biological quantity is upward floating change or downward floating change.
7. The system of claim 2, wherein the means for obtaining the number of species in the fixed area comprises capturing a picture of the living being in the fixed area by a camera, and wherein the total number of living being in the wetland is obtained by scaling.
8. The wetland environmental monitoring system of claim 7 wherein the process of obtaining a reliability score for the number of species in the fixed area comprises:
determining a number of species to be detected and a plurality of detection areas where the species is present;
the method comprises the steps that a first quantity of the living beings in the wetland is obtained by shooting pictures of the living beings in a fixed area through cameras in a plurality of detection areas, and a second quantity of the living beings in the wetland is obtained by sampling estimation through a system in a similar time;
acquiring variances among the ratios of the first quantity and the second quantity;
and normalizing the variance data to obtain a reliability score.
9. A wetland ecological environment monitoring device applied to the wetland ecological environment monitoring system as claimed in claims 1 to 8, comprising:
the first acquisition equipment is used for acquiring basic data in the range of the wetland, wherein the basic data comprise water body data, plant data, biological data and atmospheric data;
the second acquisition equipment is used for selecting a plurality of fixed areas in the wetland based on the food network and biological data in the range of the wetland and acquiring species data in the fixed areas;
the data processing equipment is used for processing the basic data and the species data to obtain biological state coefficients;
the warning device generates a warning strategy according to the basic data and the biological state coefficient and displays the warning strategy;
and a communication device for connecting the devices in communication.
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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012212209A (en) * 2011-03-30 2012-11-01 Fujitsu Fip Corp Ecosystem quantitative evaluation device
CN204630605U (en) * 2015-03-03 2015-09-09 北京科技大学 Food chain source monitoring system
CN106326423A (en) * 2016-08-24 2017-01-11 成都旅美科技有限公司 Method for determining biological variety based on environment analysis
KR102392132B1 (en) * 2021-10-01 2022-04-28 고려대학교 산학협력단 Food-web network construction system using biological monitoring data and operation method thereof
CN114943290A (en) * 2022-05-25 2022-08-26 盐城师范学院 Biological invasion identification method based on multi-source data fusion analysis
CN115132054A (en) * 2022-08-15 2022-09-30 中国科学院水生生物研究所 Environmental water flow and habitat demand simulation model based on river food net
US20220408692A1 (en) * 2021-06-29 2022-12-29 Kyndryl, Inc. Proactive detection of invasive species
CN115965295A (en) * 2023-03-16 2023-04-14 百鸟数据科技(北京)有限责任公司 Wetland ecosystem monitoring method, computer equipment and storage medium
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
CN116797076A (en) * 2023-05-25 2023-09-22 海南大学 River environment assessment method, river environment assessment system, electronic equipment and storage medium

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012212209A (en) * 2011-03-30 2012-11-01 Fujitsu Fip Corp Ecosystem quantitative evaluation device
CN204630605U (en) * 2015-03-03 2015-09-09 北京科技大学 Food chain source monitoring system
CN106326423A (en) * 2016-08-24 2017-01-11 成都旅美科技有限公司 Method for determining biological variety based on environment analysis
US20220408692A1 (en) * 2021-06-29 2022-12-29 Kyndryl, Inc. Proactive detection of invasive species
KR102392132B1 (en) * 2021-10-01 2022-04-28 고려대학교 산학협력단 Food-web network construction system using biological monitoring data and operation method thereof
CN114943290A (en) * 2022-05-25 2022-08-26 盐城师范学院 Biological invasion identification method based on multi-source data fusion analysis
CN115132054A (en) * 2022-08-15 2022-09-30 中国科学院水生生物研究所 Environmental water flow and habitat demand simulation model based on river food net
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
CN115965295A (en) * 2023-03-16 2023-04-14 百鸟数据科技(北京)有限责任公司 Wetland ecosystem monitoring method, computer equipment and storage medium
CN116797076A (en) * 2023-05-25 2023-09-22 海南大学 River environment assessment method, river environment assessment system, electronic equipment and storage medium

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