A prairie area multi-population ecological data monitoring and visualizing system

Abstract

The application discloses a prairie region multi-population ecological data supervision visual system and belongs to the technical field of big data analysis; the data analysis of the survival environment change and the survival environment influence of the prairie region multi-population ecology is carried out according to the stage climate monitoring analysis data obtained by processing the supervision cycle, the analysis results of different aspects are combined, the survival environment state of the prairie region multi-population ecology in the corresponding supervision cycle is integrated and analyzed, and the targeted cycle visual prompt is implemented according to the analysis result; the survival environment state of the prairie region multi-population ecology in the corresponding supervision cycle can be obtained, and the survival environment hidden danger of the prairie region multi-population ecology in the corresponding supervision cycle can be obtained and the targeted visual prompt is implemented; the application is used for solving the technical problem that the prairie region multi-population ecological data supervision in the existing scheme is poor in the evaluation prompt effect of the survival environment change and the survival environment influence.

Description

Technical Field

[0001] This invention relates to the field of big data analytics, specifically to a visualization system for monitoring and managing ecological data of multiple population groups in grassland areas. Background Technology

[0002] Multi-population ecological data in grassland regions refers to a collection of data that quantitatively describes different biological populations (including plants, animals, and microorganisms) and their interactions with the abiotic environment within a specific grassland ecosystem. This data is crucial for understanding the structure, function, and dynamic changes of grassland ecosystems.

[0003] Existing multi-population ecological data monitoring schemes in grassland areas mostly focus on monitoring, processing, and analyzing the number and changes of multiple populations. They fail to conduct multi-dimensional monitoring, statistics, and risk assessment of the living environment of multiple populations, and cannot adaptively provide targeted visualization prompts on changes and impacts on the living environment of multiple populations based on the assessment results. As a result, the assessment and prompting effects of multi-population ecological data monitoring in grassland areas on changes and impacts on the living environment are not good. Summary of the Invention

[0004] The purpose of this invention is to provide a visualization system for monitoring ecological data of multiple populations in grassland areas, which solves the technical problem that existing solutions for monitoring ecological data of multiple populations in grassland areas are not effective in assessing and prompting information on changes in the living environment and the impact on the living environment.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] A visualization system for monitoring ecological data of multiple populations in grassland areas, comprising:

[0007] The grassland climate monitoring and processing module is used to conduct periodic monitoring and data statistics on the climate of grassland areas, and to digitize and analyze the periodic climate monitoring statistics to obtain the phased climate monitoring analysis data of the corresponding regulatory cycle and upload it to the regulatory platform in real time.

[0008] The grassland climate multidimensional assessment module is used to analyze the changes in the living environment and the impact on the living environment of various population ecosystems in the grassland area based on the phased climate monitoring and analysis data obtained in the regulatory cycle. It combines the analysis results from different aspects to obtain the living environment assessment set of various population ecosystems in the grassland area corresponding to the regulatory cycle.

[0009] The grassland region multi-population ecological data integration and visualization module is used to integrate and analyze the survival environment status of grassland multi-population ecology in the corresponding regulatory cycle based on the survival environment assessment set, and to implement targeted periodic visualization prompts based on the analysis results.

[0010] Preferably, within a preset monitoring period, climate data of the grassland area is monitored and statistically analyzed according to a number of preset climate indicators, and all monitoring statistics obtained for different climate indicators are sorted and combined according to the real-time Beijing time to obtain the phase indicator monitoring sequence corresponding to different climate indicators.

[0011] When digitally processing and analyzing the monitoring sequences of different climate indicators within the regulatory period, the first and second monitoring values ​​corresponding to different climate indicators are obtained sequentially according to the monitoring sequences of different climate indicators. The first and second monitoring values ​​are then analyzed using the phase indicator identification model to output the phase indicator identification value ZSi corresponding to the climate indicator within the regulatory period; i represents different climate indicators, i = 1, 2, 3, ..., n; n is a positive integer.

[0012] The stage indicator identification value includes a value of 0, 1, or 2.

[0013] Preferably, the phase indicator identification values ​​obtained from the processing of different climate indicators are sorted and combined to obtain the phase climate monitoring processing sequence corresponding to the regulatory cycle.

[0014] A traversal analysis is performed on all elements in the phased climate monitoring processing sequence. If all elements are 0, the phased climate monitoring status flag is set to 0.

[0015] If there is an element with a value of 1 among all elements, then set the phase climate monitoring status flag to 1;

[0016] If there is an element with a value of 2 among all elements, then set the phase climate monitoring status flag to 2;

[0017] If all elements contain elements with values ​​of 1 and 2, then the phase climate monitoring status flag is set to 3.

[0018] The phased climate monitoring status identifiers and phased climate monitoring processing sequences are sorted and combined to obtain the phased climate monitoring analysis data for the corresponding regulatory cycle.

[0019] Preferably, the phased climate monitoring and analysis data obtained from the regulatory cycle processing are subjected to traversal analysis;

[0020] If the phase climate monitoring status identifier in the phase climate monitoring analysis data is 0, then prompts such as "normal change in living environment" and "normal impact on living environment" will be generated.

[0021] If the phase climate monitoring status indicator in the phase climate monitoring analysis data is not 0, a prompt of mild abnormality in living environment change will be generated based on the phase climate monitoring status indicator with a value of 1, and a prompt of severe abnormality in living environment change will be generated based on the phase climate monitoring status indicator with a value of 2 or 3.

[0022] Preferably, the climate monitoring status indicator for a stage with a non-zero value is determined by a formula. The climate monitoring anomaly degree QY corresponding to the ecological diversity of grassland populations in the relevant monitoring cycle is calculated and obtained; i represents different elements with values ​​of 1 or 2 in the phased climate monitoring analysis data; i′=1, 2, 3, …, n′; n′≤n; αi′ represents the index weight coefficient of the climate index to which different elements with values ​​of 1 or 2 in the phased climate monitoring analysis data belong; BYi′ represents the phased index identification value of the climate index to which different elements with non-zero values ​​in the phased climate monitoring analysis data belong; ZB represents the standard value of climate monitoring anomaly.

[0023] Data analysis of climate monitoring anomalies was conducted to determine the environmental impact status of various grassland populations during their respective monitoring cycles.

[0024] Preferably, if the climate monitoring anomaly degree is less than or equal to 0, then a slight anomaly in the environmental impact state is generated;

[0025] Conversely, the resulting environmental impact state is severely abnormal;

[0026] The first monitoring and processing analysis data is obtained by sorting and combining the data obtained from the analysis of normal changes in the living environment and normal impact on the living environment, slightly abnormal changes in the living environment and slightly abnormal or severely abnormal environmental impact, and severely abnormal changes in the living environment and slightly or severely abnormal environmental impact.

[0027] Preferably, the first and second environmental states of multiple population ecosystems in the grassland area are remotely monitored based on the stage climate monitoring status identifiers with non-zero values, and the monitoring images are processed and data matching analysis of the standard state is performed.

[0028] If both the first and second environmental states are normal, a message indicating that the actual environmental state is normal will be generated.

[0029] If the first or second environmental state is abnormal, a message indicating a slight abnormality in the actual environmental state will be generated.

[0030] If both the first and second environmental states are abnormal, a message indicating that the actual environmental state is severely abnormal will be generated.

[0031] The actual environmental conditions obtained from the analysis are sorted and combined as follows: normal, slightly abnormal, or severely abnormal, to obtain the second monitoring and processing analysis data.

[0032] By sorting and combining the first and second monitoring and processing analysis data, an assessment set of the living environment of various grassland populations in their respective regulatory cycles is obtained.

[0033] Preferably, the first monitoring and processing analysis data and the second monitoring and processing analysis data in the living environment assessment set are acquired and integrated for analysis.

[0034] If the second monitoring and analysis data shows a slight or severe abnormality in the actual environmental condition, then the system will generate a visual prompt indicating whether the ecological conditions of various grassland populations are slightly or severely abnormal in the corresponding monitoring cycle.

[0035] Preferably, if the second monitoring and processing analysis data shows that the actual environmental state is normal, and the first monitoring and processing analysis data shows that the living environment changes slightly abnormal and the environmental impact state is severely abnormal, or the living environment changes severely abnormal and the environmental impact state is slightly abnormal, then a mild abnormality in the living environment hazard corresponding to the relevant monitoring cycle of the grassland ecosystem is generated and visualized.

[0036] If the second monitoring and analysis data shows that the actual environmental condition is normal, and the first monitoring and analysis data shows that the living environment changes are severely abnormal, then a severe abnormality in the living environment hazard corresponding to the relevant monitoring cycle for multiple population ecosystems in the grassland area will be generated and visualized.

[0037] Preferably, the expression for the stage indicator identification model is: In the formula, x1i and x2i are the first and second monitoring values ​​corresponding to different climate indicators, respectively; U1i and U2i are the first and second monitoring standard ranges corresponding to different climate indicators, respectively.

[0038] Compared to existing solutions, the beneficial effects achieved by this invention are:

[0039] This invention uses phased climate monitoring and analysis data obtained from the monitoring cycle to conduct data analysis on the changes and impacts on the living environment of multiple population ecosystems in grassland areas. It combines the analysis results from different aspects to achieve multi-dimensional monitoring and assessment of the changes and impacts on the living environment of multiple population ecosystems in grassland areas, thereby improving the diversity and comprehensiveness of the monitoring and analysis of the living environment of multiple population ecosystems in grassland areas.

[0040] This invention integrates and analyzes the living environment status of multiple grassland populations within their respective monitoring cycles based on a living environment assessment set. It then provides targeted periodic visualization alerts based on the analysis results. This not only allows for the acquisition of the living environment status of multiple grassland populations within their respective monitoring cycles, but also identifies potential living environment hazards and provides targeted visualization alerts, thereby improving the diversity and comprehensiveness of grassland population data monitoring visualization. Attached Figure Description

[0041] The present invention will now be further described with reference to the accompanying drawings.

[0042] Figure 1 This is a schematic diagram illustrating the operating principle of a visualization system for monitoring ecological data of multiple populations in grassland areas, as described in this invention. Detailed Implementation

[0043] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0044] like Figure 1 As shown, the present invention is a grassland multi-population ecological data monitoring and visualization system, including a monitoring platform, and a grassland climate monitoring and processing module, a grassland climate multidimensional assessment module, and a grassland multi-population ecological data integration and visualization module that are connected to the monitoring platform.

[0045] The grassland climate monitoring and processing module is used for periodic monitoring and data statistics of grassland climate, and for digitally processing and analyzing the periodic climate monitoring statistics to obtain phased climate monitoring analysis data for the corresponding regulatory cycle and uploading it to the regulatory platform in real time; including:

[0046] Within the preset monitoring period, the unit of the monitoring period is months. The specific values ​​can be customized according to the actual application needs of the actual application scenario. Based on several preset climate indicators, the climate data of the grassland area is monitored and statistically analyzed. These climate indicators are environmental factors that affect the ecology of various populations in the grassland area. These climate indicators include, but are not limited to, temperature, humidity and rainfall. Based on the real-time Beijing time, all the monitoring statistics obtained for different climate indicators are sorted and combined to obtain the phase indicator monitoring sequence corresponding to different climate indicators.

[0047] When digitizing and analyzing the monitoring sequences of different climate indicators within the regulatory period, the median and average values ​​of the monitoring for each climate indicator within the monitoring sequence are obtained sequentially. The median and average values ​​of the monitoring for each climate indicator within the regulatory period are then labeled as the first monitoring value and the second monitoring value, respectively. The first and second monitoring values ​​are then analyzed using a phase indicator identification model to output the phase indicator identification value ZSi corresponding to the climate indicator within the regulatory period; where i represents different climate indicators, i = 1, 2, 3, ..., n; and n is a positive integer representing the total number of all climate indicators.

[0048] The expression for the stage indicator identification model is as follows: In the formula, x1i and x2i are the first and second monitoring values ​​corresponding to different climate indicators, respectively; U1i and U2i are the first and second monitoring standard ranges corresponding to different climate indicators, respectively, which can be obtained by processing historical monitoring data and environmental requirement data of the actual grassland area.

[0049] It is important to note that analyzing the median and mean of monitoring data over a period of time will yield different results. This is because the median and mean represent different statistics and have different sensitivities and applicability in describing datasets.

[0050] Mean: For normally distributed datasets, the mean can represent the central tendency of the data well, but it is easily affected by extreme values ​​because every value is directly involved in the calculation. In datasets with obvious skewness or outliers, the mean may not accurately reflect the majority of observations.

[0051] Median: Unaffected by extreme values, it better represents the true central tendency of a dataset, especially when the data distribution is asymmetrical. For non-normally distributed data or datasets containing outliers, the median is a more robust measure.

[0052] In this embodiment of the invention, different monitoring data of different climate indicators within the regulatory period are processed and calculated to digitally represent the stage indicator identification status of different climate indicators within the regulatory period.

[0053] The stage indicator identification value includes a value of 0, 1, or 2;

[0054] A stage indicator identification value of 0 indicates that the corresponding stage indicator identification status of the climate indicator is normal within the regulatory period.

[0055] A stage indicator identification value of 1 indicates that the corresponding stage indicator identification status of the climate indicator is slightly abnormal within the regulatory period.

[0056] A stage indicator identification value of 2 indicates that the corresponding stage indicator identification status of the climate indicator is severely abnormal within the regulatory period.

[0057] The phase indicator identification values ​​obtained by processing different climate indicators are sorted and combined to obtain the phase climate monitoring and processing sequence corresponding to the regulatory cycle.

[0058] It should be noted that by processing different monitoring data corresponding to several pre-set climate indicators within the regulatory period, it is possible to digitally represent the stage indicator identification status of different climate indicators within the regulatory period, and to provide reliable climate indicator regulatory processing data support for subsequent data analysis of different aspects of grassland ecosystems.

[0059] A traversal analysis is performed on all elements in the phased climate monitoring processing sequence. If all elements are 0, the phased climate monitoring status flag is set to 0.

[0060] If there is an element with a value of 1 among all elements, then set the phase climate monitoring status flag to 1;

[0061] If there is an element with a value of 2 among all elements, then set the phase climate monitoring status flag to 2;

[0062] If all elements contain elements with values ​​of 1 and 2, then the phase climate monitoring status flag is set to 3.

[0063] The phased climate monitoring status identifiers and phased climate monitoring processing sequences are sorted and combined to obtain the phased climate monitoring analysis data for the corresponding regulatory cycle.

[0064] In this embodiment of the invention, by periodically monitoring and statistically analyzing the climate of grassland areas, and by digitally processing and analyzing the periodic climate monitoring statistics, data monitoring, statistics and processing from the perspective of climate impact are realized, which can effectively improve the diversity and comprehensiveness of ecological supervision and management of multiple populations in grassland areas.

[0065] The grassland climate multidimensional assessment module is used to analyze the changes in the living environment and their impacts on various grassland populations based on phased climate monitoring and analysis data obtained during the monitoring cycle. It combines the results from different aspects to obtain a living environment assessment set for the various grassland populations within the corresponding monitoring cycle; including:

[0066] A comprehensive analysis of the phased climate monitoring data obtained during the regulatory cycle processing is performed.

[0067] If the phase climate monitoring status identifier in the phase climate monitoring analysis data is 0, then prompts such as "normal change in living environment" and "normal impact on living environment" will be generated.

[0068] If the phase climate monitoring status indicator in the phase climate monitoring analysis data is not 0, a prompt of mild abnormality in living environment change will be generated based on the phase climate monitoring status indicator with a value of 1, and a prompt of severe abnormality in living environment change will be generated based on the phase climate monitoring status indicator with a value of 2 or 3.

[0069] Climate monitoring status indicators based on non-zero values ​​are indicated by the formula. The calculation obtains the climate monitoring anomaly degree QY of multiple population ecosystems in the grassland area corresponding to the relevant monitoring cycle; i represents different elements with values ​​of 1 or 2 in the phased climate monitoring analysis data; i′=1, 2, 3, …, n′; n′≤n, representing the total number of all elements with values ​​of 1 or 2 in the phased climate monitoring analysis data; αi′ is the index weight coefficient of the climate index to which different elements with values ​​of 1 or 2 in the phased climate monitoring analysis data belong. Different climate indices are pre-set with a corresponding index weight coefficient to digitally represent the degree of ecological impact corresponding to the climate index. The specific values ​​of the index weight coefficients corresponding to different climate indices can be determined by professionals in this field based on historical monitoring big data and work experience; BYi′ is the phased index identification value of the climate index to which different elements with values ​​of non-zero in the phased climate monitoring analysis data belong; ZB is the standard value of climate monitoring anomalies, which can be determined based on the actual application requirements data of the actual application scenario, or based on the preliminary test data of the actual application scenario.

[0070] It should be noted that the climate monitoring anomaly is used to integrate and calculate the climate monitoring anomaly data of multiple population ecosystems in grassland areas in the corresponding monitoring cycle, so as to digitally represent their corresponding impact on the living environment.

[0071] Data analysis of climate monitoring anomalies was conducted to determine the environmental impact status of various grassland populations during the corresponding monitoring cycle.

[0072] If the climate monitoring anomaly is less than or equal to 0, a slight anomaly in the environmental impact status is generated.

[0073] Conversely, the resulting environmental impact state is severely abnormal;

[0074] The first monitoring and processing analysis data is obtained by sorting and combining the data obtained from the analysis of normal changes in the living environment and normal impact on the living environment, slightly abnormal changes in the living environment and slightly abnormal or severely abnormal environmental impact status, and severely abnormal changes in the living environment and slightly or severely abnormal environmental impact status.

[0075] In this embodiment of the invention, by performing a comprehensive analysis of the phased climate monitoring data obtained from the processing of the regulatory cycle, data on the changes in the living environment and the impact on the living environment of multiple population ecosystems in grassland areas during the corresponding regulatory cycle are obtained. This enables proactive monitoring and assessment of the changes in and impacts on the living environment of multiple population ecosystems in grassland areas. At the same time, it can also provide reliable multidimensional living environment monitoring data support for the analysis of the living environment status of multiple population ecosystems in grassland areas during the corresponding regulatory cycle.

[0076] Furthermore, based on the non-zero stage climate monitoring status identifiers, remote monitoring of the first and second environmental states of multiple population ecosystems in grassland areas is conducted, and the monitoring images are processed and data matching analysis of the standard state is performed.

[0077] The first environment and the second environment are specifically green grassland and water source, respectively. Existing remote sensing technology and drone remote camera technology can be used to monitor and analyze the data of all green grassland and water source in the grassland area to determine whether the first environment and the second environment of all green grassland and water source in the grassland area are normal within the relevant monitoring period.

[0078] In addition, monitoring and data analysis of all green grasslands and water sources in the grassland area is a conventional technical means. The specific implementation steps will not be elaborated here. For example, remote sensing images and monitoring images are processed and matched with standard image processing data of the grassland area in the monitoring period to determine whether the status of all corresponding green grasslands and water sources is normal.

[0079] If both the first and second environmental states are normal, a message indicating that the actual environmental state is normal will be generated.

[0080] If the first or second environmental state is abnormal, a message indicating a slight abnormality in the actual environmental state will be generated.

[0081] If both the first and second environmental states are abnormal, a message indicating that the actual environmental state is severely abnormal will be generated.

[0082] The actual environmental conditions obtained from the analysis are sorted and combined as follows: normal, slightly abnormal, or severely abnormal, to obtain the second monitoring and processing analysis data.

[0083] It should be noted that by monitoring and analyzing the current status of the ecological environment of multiple populations in grassland areas, reliable actual living environment monitoring data can be provided for subsequent analysis of the living environment status of multiple populations in grassland areas during the corresponding monitoring cycle.

[0084] By sorting and combining the first and second monitoring and processing analysis data, we can obtain the survival environment assessment set of multiple population ecosystems in the grassland area for the corresponding regulatory cycle.

[0085] In this embodiment of the invention, the phased climate monitoring and analysis data obtained from the regulatory cycle are used to analyze the changes in the living environment and the impact on the living environment of multiple populations in grassland areas. The analysis results from different aspects are combined to achieve multi-dimensional monitoring and assessment of the changes in the living environment and the impact on the living environment of multiple populations in grassland areas, thereby improving the diversity and comprehensiveness of the monitoring and analysis of the living environment of multiple populations in grassland areas.

[0086] The grassland multi-population ecological data integration and visualization module is used to integrate and analyze the survival environment status of multiple grassland populations within their respective monitoring cycles based on a survival environment assessment set, and to provide targeted periodic visualization prompts based on the analysis results; including:

[0087] Acquire the first and second monitoring and processing analysis data from the living environment assessment set, and then integrate and analyze them.

[0088] If the second monitoring and processing analysis data shows a slight abnormality or a severe abnormality in the actual environmental state, then the system will generate a visual prompt indicating that the living environment of various populations in the grassland area is slightly or severely abnormal in the corresponding regulatory cycle.

[0089] If the second monitoring and analysis data shows that the actual environmental state is normal, and the first monitoring and analysis data shows that the living environment changes slightly abnormal and the environmental impact state is severely abnormal, or the living environment changes severely abnormal and the environmental impact state is slightly abnormal, then the living environment hazard of multiple population ecosystems in the grassland area is generated and visualized in the corresponding regulatory cycle.

[0090] If the second monitoring and analysis data shows that the actual environmental condition is normal, and the first monitoring and analysis data shows that the living environment changes are severely abnormal and the living environment changes are severely abnormal, then the ecological risk of multiple populations in the grassland area is generated and visualized in the corresponding regulatory cycle.

[0091] Unlike existing technical solutions that only monitor, process, analyze, and provide alerts on the number and changes of multiple populations, but cannot perform multidimensional monitoring, statistics, and risk assessment of the living environment of multiple populations, and cannot adaptively provide targeted visual alerts on changes in the living environment and the impact on the living environment of multiple populations based on the assessment results;

[0092] In this embodiment of the invention, the living environment status of multiple population ecosystems in grassland areas during their respective monitoring cycles is integrated and analyzed based on the living environment assessment set. Targeted periodic visualization prompts are then implemented based on the analysis results. This approach not only obtains the living environment status of multiple population ecosystems in grassland areas during their respective monitoring cycles, but also identifies potential living environment hazards and provides targeted visualization prompts, thereby improving the diversity and comprehensiveness of grassland population ecosystem data monitoring visualization.

[0093] Furthermore, the formulas mentioned above are all numerical calculations obtained by removing dimensions and using simulation software to obtain a formula that is closest to the real situation, based on the collection of a large amount of data.

[0094] In the several embodiments provided by this invention, it should be understood that the disclosed system can be implemented in other ways. For example, the embodiments of the invention described above are merely illustrative; for example, the division of modules is only a logical functional division, and there may be other division methods in actual implementation.

[0095] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0096] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated module can be implemented in hardware or in the form of hardware plus software functional modules.

[0097] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0098] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A prairie region multi-population ecological data monitoring and visualization system, characterized in that, The method comprises the following steps: a grassland climate monitoring processing module is used to periodically monitor and statistically analyze the climate of the grassland, and to digitally process and analyze the periodic climate monitoring statistical data to obtain stage climate monitoring analysis data corresponding to the monitoring period and to upload the data to the monitoring platform in real time; wherein, within a preset monitoring period, the climate data of the grassland is monitored and statistically analyzed according to a plurality of preset climate indicators, and all the monitoring statistical data corresponding to different climate indicators are sorted and combined according to the order of real-time Beijing time to obtain stage indicator monitoring sequences corresponding to different climate indicators; when the stage indicator monitoring sequences corresponding to different climate indicators within the monitoring period are digitally processed and analyzed, the first monitoring value and the second monitoring value corresponding to different climate indicators are sequentially obtained according to the stage indicator monitoring sequences, and the first monitoring value and the second monitoring value are analyzed by a stage indicator identification model to output a stage indicator identification value ZSi corresponding to the climate indicator within the monitoring period; i is different climate indicators, i=1, 2, 3, …, n; n is a positive integer; the stage indicator identification value contains the values 0, 1 or 2; the stage indicator identification values corresponding to different climate indicators obtained by processing are sorted and combined to obtain a stage climate monitoring processing sequence corresponding to the monitoring period; all elements in the stage climate monitoring processing sequence are analyzed by traversal, if all elements are 0, the stage climate monitoring state identifier is set to 0; if there is an element with a value of 1 in all elements, the stage climate monitoring state identifier is set to 1; if there is an element with a value of 2 in all elements, the stage climate monitoring state identifier is set to 2; if there are elements with values of 1 and 2 in all elements, the stage climate monitoring state identifier is set to 3; the stage climate monitoring state identifier and the stage climate monitoring processing sequence are sorted and combined to obtain stage climate monitoring analysis data corresponding to the monitoring period; a grassland climate multi-dimensional evaluation module is used to analyze the survival environment change and the survival environment impact of the multi-species ecology of the grassland according to the stage climate monitoring analysis data obtained by processing the monitoring period, and to combine the analysis results of different aspects to obtain a survival environment evaluation set corresponding to the multi-species ecology of the grassland in the monitoring period; wherein the phase climate monitoring state identifier with a non-zero value is calculated by the formula The climate monitoring abnormality degree QY of the multiple population ecology in the grassland region in the corresponding supervision period is calculated and obtained; i is a different element with a value of 1 or 2 in the phase climate monitoring analysis data; i'=1, 2, 3,..., n'; n'≤n; αi' is an index weight coefficient of the climate index to which the different element with a value of 1 or 2 in the phase climate monitoring analysis data belongs; BYi' is a phase index identification value of the climate index to which the different element with a non-zero value in the phase climate monitoring analysis data belongs; and ZB is a climate monitoring abnormality standard value. the climate monitoring abnormality is analyzed to determine the survival environment impact state of the multi-species ecology of the grassland in the monitoring period; the first environment state and the second environment state of the multi-species ecology of the grassland are remotely monitored according to the stage climate monitoring state identifier with a value other than 0, and the monitoring images are processed and analyzed by data matching with the standard state; if the first environment state and the second environment state are both normal, a prompt that the actual environment state is normal is generated; if the first environment state or the second environment state is abnormal, a prompt that the actual environment state is slightly abnormal is generated; if the first environment state and the second environment state are both abnormal, a prompt that the actual environment state is severely abnormal is generated; The prairie region multi-population ecological data integration visualization module is used for integrated analysis of the prairie region multi-population ecological survival environment state corresponding to the monitoring period according to the survival environment evaluation set, and implements targeted period visualization prompts according to the analysis results.

2. The prairie region multi-population ecological data monitoring and visualizing system according to claim 1, wherein, The stage climate monitoring analysis data obtained by processing the acquired stage climate monitoring analysis data is traversed and analyzed; If the stage climate monitoring state identifier in the stage climate monitoring analysis data is 0, a survival environment change normal and survival environment impact normal prompt is generated; If the stage climate monitoring state identifier in the stage climate monitoring analysis data is not 0, a survival environment change mild abnormality prompt is generated according to the stage climate monitoring state identifier with a value of 1, and a survival environment change severe abnormality prompt is generated according to the stage climate monitoring state identifier with a value of 2 or 3.

3. A prairie region multi-population ecological data monitoring and visualizing system according to claim 2, wherein, If the climate monitoring abnormality degree is less than or equal to 0, the environment impact state mild abnormality is generated; Conversely, the environment impact state severe abnormality is generated; The analysis obtained survival environment change normal and survival environment impact normal, survival environment change mild abnormality and environment impact state mild abnormality or environment impact state severe abnormality, survival environment change severe abnormality and environment impact state mild abnormality or environment impact state severe abnormality are sorted and combined to obtain the first monitoring processing analysis data.

4. The prairie region multi-population ecological data monitoring and visualizing system of claim 3, wherein, The analysis obtained environment actual state normal, environment actual state mild abnormality or environment actual state severe abnormality are sorted and combined to obtain the second monitoring processing analysis data. The first monitoring processing analysis data and the second monitoring processing analysis data are sorted and combined to obtain the survival environment evaluation set corresponding to the prairie region multi-population ecological survival environment state of the monitoring period.

5. A prairie region multi-population ecological data monitoring and visualizing system according to claim 4, wherein, The first monitoring processing analysis data and the second monitoring processing analysis data in the survival environment evaluation set are obtained and traversed and integrated analysis is performed; If the second monitoring processing analysis data is environment actual state mild abnormality or environment actual state severe abnormality, the prairie region multi-population ecological survival environment state mild abnormality or survival environment state severe abnormality corresponding to the monitoring period is generated and visualized.

6. A prairie region multi-population ecological data monitoring and visualizing system according to claim 5, wherein, If the second monitoring processing analysis data is environment actual state normal, and the first monitoring processing analysis data is survival environment change mild abnormality and environment impact state severe abnormality, survival environment change severe abnormality and environment impact state mild abnormality, the prairie region multi-population ecological survival environment hidden danger mild abnormality corresponding to the monitoring period is generated and visualized; If the second monitoring processing analysis data is environment actual state normal, and the first monitoring processing analysis data is survival environment change severe abnormality and survival environment change severe abnormality, the prairie region multi-population ecological survival environment hidden danger severe abnormality corresponding to the monitoring period is generated and visualized.

7. The prairie region multi-population ecological data monitoring and visualizing system of claim 1, wherein, The expression of the stage index identification model is ; in the formula, x1i and x2i are respectively the first monitoring value and the second monitoring value corresponding to different climate indexes; U1i and U2i are respectively the first monitoring standard range and the second monitoring standard range corresponding to different climate indexes.

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