Soil microorganism monitoring management system based on big data analysis

Abstract

The invention relates to the technical field of soil microorganism analysis, in particular to a soil microorganism monitoring management system based on big data analysis, which comprises a soil data acquisition module used for acquiring soil environment information of a soil monitoring area in real time and also used for periodically acquiring microflora information in soil and soil ammonia nitrogen content; the soil environment analysis module is used for analyzing soil environment characteristics and soil environment types; the community information analysis module is used for analyzing microorganism diversity characteristics and community abundance types; the soil nutrient analysis module is used for analyzing the nutrient correlation characteristics; the soil comprehensive analysis module is used for analyzing the comprehensive characteristics of the soil; and the data type analysis module is used for judging the data type of the soil microorganisms according to the comprehensive characteristics of the soil and outputting the data type of the soil microorganisms to a user. According to the invention, accurate monitoring of soil microorganism data is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of soil microorganism analysis, and in particular to a soil microorganism monitoring and management system based on big data analysis. Background Art

[0002] Soil microbial monitoring and management mainly involve technologies such as microbiome sequencing, microbial maps, and artificial intelligence. These technologies help to understand the distribution and community construction rules of soil microorganisms, monitor the dynamic changes of the microbiome in the soil, provide a scientific basis for soil management, and promote soil health and sustainable agricultural development.

[0003] Chinese Patent Publication No.: CN117172137A discloses a soil microbial control analysis method and system based on digital twins. First, by acquiring microbial information, the influence of each microorganism on the balance is analyzed to form an influence degree list. Further, the plant planting plan for the target area is determined. Then, the plant simulation growth model is constructed using digital twin technology to predict the growth and distribution position of the plant rhizosphere. The distribution range and number of plant rhizosphere microorganisms are further determined to evaluate the restoration effect of the balance of the soil microbial population. Finally, the plant planting plan is updated according to the evaluation results. This invention realizes the analysis of the balance state of the microbial population by the planting data in the soil and the microbial data of the soil sample, but does not realize the comprehensive analysis of the microbial community data by combining the collected soil environment data, microbial data and soil nutrient data. There are problems of low efficiency in soil microbial data analysis and inaccurate monitoring of soil microbial data. Summary of the invention

[0004] The object of the present invention is to provide a soil microorganism monitoring and management system based on big data analysis to solve at least one of the problems existing in the prior art.

[0005] To achieve the above object, the present invention adopts the following technical solutions: A soil microorganism monitoring and management system based on big data analysis, comprising: The soil data collection module is used to collect soil environmental information in the soil monitoring area in real time, and is also used to periodically collect soil microbial community information and soil ammonia nitrogen content; The soil environment analysis module is used to analyze soil environment characteristics according to soil environment information, and is also used to store soil environment characteristics and collected soil environment information, and analyze soil environment types according to the stored data; A community information analysis module, which is used to analyze the microbial diversity characteristics according to the microbial community information, and is also used to store the microbial community information and analyze the community abundance type according to the stored microbial community information; Soil nutrient analysis module, used to analyze nutrient association characteristics based on microbial community information and soil ammonia nitrogen content; The soil comprehensive analysis module is used to analyze the comprehensive characteristics of soil according to soil environmental characteristics, soil environmental types, microbial diversity characteristics, community abundance types and nutrient association characteristics; The data type analysis module is used to determine the soil microbial data type based on the comprehensive characteristics of the soil and output the soil microbial data type to the user.

[0006] Furthermore, the soil environment analysis module is provided with an environment characteristic analysis unit, which is used to analyze the soil environment characteristics according to the soil temperature T(i), the soil acidity pH(i) and the soil water content D(i) to obtain the soil environment characteristics H(i).

[0007] Furthermore, the soil environment analysis module is also provided with a storage data analysis unit, which is used to analyze the environmental fluctuation characteristics according to the stored soil environment characteristics to obtain the environmental fluctuation characteristics Q.

[0008] Furthermore, the soil environment analysis module is also provided with a soil type judgment unit, which is used to compare the environmental fluctuation feature Q with the environmental fluctuation threshold q, and judge the soil environment type according to the comparison result, and the soil environment type includes one category and two categories.

[0009] Furthermore, the community information analysis module is provided with a community characteristic analysis unit, which is used to count the number of microbial community information whose community type is nitrogen-fixing bacteria as the first community number N1(j), and count the number of microbial community information whose community type is non-nitrogen-fixing bacteria as the second community number N2(j), and analyze the biodiversity characteristics according to the first community number, the second community number and the relative abundance of microorganisms to obtain the microbial diversity characteristics G(j).

[0010] Furthermore, the community information analysis module is also provided with a community data storage unit, which is used to analyze the community abundance characteristics according to the stored microbial community information to obtain the community abundance characteristics R(k); The community data storage unit compares the community abundance feature R(k) with the community abundance threshold r, and determines the community abundance type according to the comparison result, and the community abundance type includes one category and two categories.

[0011] Furthermore, the soil nutrient analysis module analyzes the nutrient association characteristics according to the absolute abundance of microorganisms A1(j,k) and the soil ammonia nitrogen content P(j) to obtain the nutrient association characteristics S(j).

[0012] Furthermore, the soil comprehensive analysis module is provided with a comprehensive characteristic analysis unit, which is used to analyze the comprehensive characteristics of the soil according to the soil environmental characteristics H(i), the microbial diversity characteristics G(j) and the nutrient association characteristics S(j) to obtain the comprehensive soil characteristics F(j).

[0013] Furthermore, the soil comprehensive analysis module is further provided with an environment type analysis unit, which is used to adjust the analysis process of the soil comprehensive characteristics according to the soil environment type. When the soil environment type is Class II, the analysis process of the soil comprehensive characteristics is adjusted, and the adjusted soil comprehensive characteristics are F1(j); The soil comprehensive analysis module is also provided with an abundance type analysis unit, which is used to count the number of biological community information with community abundance type one in the current collection period as the first abundance number NR1(j), count the number of biological community information with community abundance type two in the current collection period as the second abundance number NR2(j), and optimize the adjustment process of the soil comprehensive characteristics according to the first abundance number and the second abundance number. When the first abundance number and the second abundance number meet the threshold, the adjustment process of the soil comprehensive characteristics is optimized, and the optimized soil comprehensive characteristics are F2(j).

[0014] Furthermore, the data type analysis module compares the soil comprehensive feature F(j) with the feature comparison threshold f, and determines the soil microbial data type according to the comparison result, and the soil microbial data type includes normal data and abnormal data.

[0015] The beneficial effects of the present invention are as follows: the soil data acquisition module collects soil environmental information, microbial community information and soil ammonia nitrogen content in the soil monitoring area, and other modules conduct comprehensive analysis on the collected data, so as to realize the analysis and monitoring of soil microbial data by comprehensively analyzing environmental data, soil nutrient data and soil microbial data in the soil monitoring area, so as to judge whether there is abnormality in soil microbial data, thereby improving the system's analysis efficiency of soil microbial data and improving the accuracy of soil microbial data monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 This is a schematic diagram of the structure of the soil microorganism monitoring and management system based on big data analysis in this embodiment.

[0018] Figure 2 Schematic diagram of the structure of the soil environment analysis module of this embodiment.

[0019] Figure 3 Schematic diagram of the structure of the community information analysis module of this embodiment.

[0020] Figure 4 Schematic diagram of the structure of the soil comprehensive analysis module of this embodiment. DETAILED DESCRIPTION

[0021] In order to more clearly illustrate the present invention, the present invention is further described below in conjunction with preferred embodiments and accompanying drawings. Similar components in the accompanying drawings are represented by the same reference numerals. It should be understood by those skilled in the art that the content specifically described below is illustrative rather than restrictive, and should not be used to limit the scope of protection of the present invention.

[0022] It should be noted that, although the terms first, second, third, etc. may be used to describe in the embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0023] See also Figure 1 As shown, it is a soil microorganism monitoring and management system based on big data analysis in this embodiment, including: The soil data acquisition module is used to collect soil environmental information of the soil monitoring area in real time, and is also used to periodically collect microbial community information and soil ammonia nitrogen content in the soil. The soil environmental information includes soil temperature, soil pH and soil water content. The soil water content is the absolute soil water content. The microbial community information includes community types and microbial abundance information. The community types include nitrogen-fixing bacteria and non-nitrogen-fixing bacteria. The microbial abundance information includes microbial absolute abundance and microbial relative abundance. The microbial absolute abundance is the actual measured number of each microorganism, and the microbial relative abundance is the proportion of the actual measured number of each microorganism in the number of microorganisms measured in the whole soil. The soil environmental information is collected by sensors installed in the soil monitoring area. The microbial community information is collected by collecting soil samples and uploading the microbial community information after obtaining the microbial community information through biomolecular technology analysis. The microbial community information can be detected by DNA sequencing and quantitative PCR technology. The soil ammonia nitrogen content can be measured by flocculation precipitation method and Nessler reagent photometry and uploaded. The frequency of collecting the microbial community information and soil ammonia nitrogen content in this embodiment is The samples are collected once per a preset collection period. In this embodiment, the preset collection period is set to 5 days. In this embodiment, the setting of the preset collection period is not specifically limited, and those skilled in the art can freely set it, such as 3 days, 7 days, and 15 days. The absolute abundance of the microorganisms is measured by flow cytometry or quantitative PCR technology. Flow cytometry is to obtain the number of cells by counting the number of cells in the collected soil by a flow cytometer after staining. The quantitative PCR technology is to perform qPCR amplification on the DNA extracted from the soil sample using specific primers, and use a standard curve to quantify the absolute abundance of the microorganisms. The relative abundance of the microorganisms is achieved by high-throughput sequencing technology. The method is to first extract the total DNA in the soil sample, which can be extracted by using a soil DNA extraction kit, and perform PCR amplification on the extracted DNA using specific primers, and then use high-throughput sequencing to obtain sequence data of the microbial community, and use bioinformatics tools to analyze the sequence, assign the sequence to operational classification units or sequence-free variations, and calculate the proportion of each operational classification unit or sequence-free variation in the total sequence to obtain the relative abundance of the microorganism. The bioinformatics tools include QIIME2Mothur, etc.

[0024] Specifically, this embodiment is applied to the monitoring and analysis of nitrogen-fixing bacteria in the soil, by collecting and analyzing the data of nitrogen-fixing bacteria and other bacterial groups in the soil, and combining the soil environmental data and soil nutrient data, to achieve the monitoring of microbial data in the soil.

[0025] Please continue reading Figure 1 As shown, the soil microorganism monitoring and management system based on big data analysis also includes: The soil environment analysis module is used to analyze soil environment characteristics according to soil environment information, and is also used to store soil environment characteristics and collected soil environment information, and analyze soil environment types according to the stored data. The soil environment analysis module is connected to the soil data collection module.

[0026] See also Figure 2 As shown, the soil environment analysis module includes: The environmental characteristic analysis unit is used to analyze the soil environmental characteristics according to the soil environmental information.

[0027] Specifically, the environmental characteristic analysis unit in this embodiment analyzes the soil environmental characteristics according to the soil temperature, soil pH and soil water content, and sets the soil environmental characteristics as H(i), and sets H(i)=e T(i) / t ×pH(i)×D(i) / 100, where T(i) represents soil temperature, i represents the acquisition time number, and i∈N + , t represents the temperature parameter, 10≤t≤20, pH(i) represents the soil acidity, D(i) represents the soil water content. The collection time number is defined as the number used to distinguish the collection time of soil environmental data, and its accuracy is seconds.

[0028] Specifically, in this embodiment, the environmental characteristic analysis unit analyzes the soil environmental information to analyze the soil environmental characteristics, and uses the soil environmental characteristics to represent the correlation characteristics between the environments in the soil monitoring area, ensuring that subsequent data analysis is at the same order of magnitude, thereby improving the system's analysis efficiency of soil microbial data and improving the accuracy of soil microbial data monitoring.

[0029] Please continue reading Figure 2 As shown, the soil environment analysis module also includes: The environmental data storage unit is used to store soil environmental characteristics and collected soil environmental information, and the environmental data storage unit is connected to the environmental characteristic analysis unit.

[0030] Please continue reading Figure 2 As shown, the soil environment analysis module also includes: The storage data analysis unit is used to analyze the environmental fluctuation characteristics according to the stored soil environmental characteristics and the collected soil environmental information. The storage data analysis unit is connected to the environmental data storage unit.

[0031] Specifically, the storage data analysis unit in this embodiment analyzes the environmental fluctuation characteristics according to the stored soil environmental characteristics, sets the environmental fluctuation characteristics as Q, and sets , where i max Indicates the maximum value of the acquisition time number.

[0032] Specifically, in this embodiment, the stored data analysis unit analyzes the stored soil environmental characteristics to analyze the environmental fluctuation characteristics, and uses the environmental fluctuation characteristics to represent the change characteristics of the collected data, thereby realizing the volatility analysis of the collected data, thereby improving the system's analysis efficiency of soil microbial data and improving the accuracy of soil microbial data monitoring.

[0033] Please continue reading Figure 2 As shown, the soil environment analysis module also includes: The soil type judgment unit is used to judge the soil environment type according to the environmental fluctuation characteristics. The soil type judgment unit is connected to the storage data analysis unit.

[0034] Specifically, the soil type judgment unit described in this embodiment compares the environmental fluctuation characteristics with the environmental fluctuation threshold, and judges the soil environment type according to the comparison result. If Q≤q, the soil type judgment unit determines that the soil environment type is Class I. If Q>q, the soil type judgment unit determines that the soil environment type is Class II, wherein q represents the environmental fluctuation threshold, 0.1≤q≤0.2; through the analysis of the environmental fluctuation characteristics by the soil type judgment unit, the soil environment type is divided into two categories according to the change of the soil environment data, Class I indicates that the soil environment data is relatively stable and its change is small, and Class II indicates that the soil environment data fluctuates greatly, thereby improving the system's analysis efficiency of soil microbial data and improving the accuracy of soil microbial data monitoring; it can be understood that in this embodiment, the value of the environmental fluctuation threshold is not specifically limited, and those skilled in the art can set it freely, as long as it meets the judgment of the soil environment type. The optimal value of the environmental fluctuation threshold is: q=0.15.

[0035] Please continue reading Figure 1 As shown, the soil microorganism monitoring and management system based on big data analysis also includes: The community information analysis module is used to analyze the microbial diversity characteristics according to the microbial community information, and is also used to store the microbial community information and analyze the community abundance type according to the stored microbial community information. The community information analysis module is connected to the soil data acquisition module.

[0036] See also Figure 3 As shown, the community information analysis module includes: The community characteristic analysis unit is used to analyze the microbial diversity characteristics based on the microbial community information.

[0037] Specifically, the community feature analysis unit in this embodiment counts the number of microbial community information of nitrogen-fixing bacteria as the first community number, counts the number of microbial community information of non-nitrogen-fixing bacteria as the second community number, and analyzes the biodiversity feature according to the first community number, the second community number and the relative abundance of microorganisms, sets the microbial diversity feature as G(j), and sets , where N1(j) represents the number of the first colony, N2(j) represents the number of the second colony, j represents the number of the collection cycle, j∈N + , A2(j,k) represents the relative abundance of microorganisms, k represents the microbial community number, k∈N + , U1 represents the set of microbial community numbers corresponding to the microbial community information of the community type being nitrogen-fixing bacteria, and U2 represents the set of microbial community numbers corresponding to the microbial community information of the community type being non-nitrogen-fixing bacteria. The collection cycle number is defined as the number used to distinguish the microbial community information collected in different collection cycles, and the microbial community number is defined as the number used to distinguish different microbial communities.

[0038] Specifically, in this embodiment, the community characteristic analysis unit analyzes the microbial community information to count the number of the first community and the number of the second community, and realizes the statistics of the number of communities according to the community types, thereby analyzing the biodiversity characteristics, and using the biodiversity characteristics to represent the characteristic relationship between different types of biological communities in the biological community information, thereby increasing the diversity of system analysis, thereby improving the system's analysis efficiency of soil microbial data, and improving the accuracy of soil microbial data monitoring.

[0039] Please continue reading Figure 3 As shown, the community information analysis module includes: The community data storage unit is used to store biological community information and analyze the community abundance type according to the stored microbial community information. The community data storage unit is connected to the community characteristic analysis unit.

[0040] Specifically, the community data storage unit in this embodiment analyzes the community abundance characteristics according to the stored microbial community information, sets the community abundance characteristics as R(k), and sets , where A1(j,k) represents the absolute abundance of microorganisms, j max Indicates the maximum value of the collection cycle number.

[0041] Specifically, the community data storage unit in this embodiment compares the community abundance characteristics with the community abundance threshold, and determines the community abundance type according to the comparison result. If R(k)<r, the community data storage unit determines that the community abundance type is type one. If R(k)≥r, the community data storage unit determines that the community abundance type is type two. r represents the community abundance threshold, 0.8≤r≤1.2. It can be understood that the value of the community abundance threshold is not specifically limited in this embodiment, and the technicians in this field can freely set it as long as it meets the judgment of the community abundance type. The optimal value of the community abundance threshold is: r=1.

[0042] Specifically, in this embodiment, the community data storage unit stores biological community information to increase the number of sample data analyzed by the system, thereby analyzing community abundance characteristics, using community abundance characteristics to represent the characteristic relationship between the abundance quantities of each microbial population, and then dividing the community abundance types into two categories according to the community abundance characteristics of each microbial population, with one category representing a small change in microbial abundance and the other category representing a large change in microbial abundance, thereby improving the system's analysis efficiency of soil microbial data and improving the accuracy of soil microbial data monitoring.

[0043] Please continue reading Figure 1 As shown, the soil microorganism monitoring and management system based on big data analysis also includes: The soil nutrient analysis module is used to analyze nutrient correlation characteristics according to microbial community information and soil ammonia nitrogen content. The soil nutrient analysis module is connected to the soil data acquisition module.

[0044] Specifically, the soil nutrient analysis module in this embodiment analyzes the nutrient association characteristics according to the absolute abundance of microorganisms and the ammonia nitrogen content of the soil, sets the nutrient association characteristics as S(j), and sets , where P(j) represents the soil ammonia nitrogen content.

[0045] Specifically, in this embodiment, the soil nutrient analysis module analyzes the microbial community information and the soil ammonia nitrogen content to analyze the nutrient association characteristics, and uses the nutrient association characteristics to represent the proportional relationship between the number of nitrogen-fixing bacteria and the ammonia nitrogen content in the soil, thereby improving the system's analysis efficiency of soil microbial data and improving the accuracy of soil microbial data monitoring.

[0046] Please continue reading Figure 1 As shown, the soil microorganism monitoring and management system based on big data analysis also includes: The soil comprehensive analysis module is used to analyze the comprehensive characteristics of the soil according to the soil environmental characteristics, soil environmental type, microbial diversity characteristics, community abundance type and nutrient association characteristics. The soil comprehensive analysis module is connected with the soil environmental analysis module, the community information analysis module and the soil nutrient analysis module.

[0047] See also Figure 4 As shown, the soil comprehensive analysis module includes: The comprehensive characteristic analysis unit is used to analyze the comprehensive characteristics of soil based on soil environmental characteristics, microbial diversity characteristics and nutrient correlation characteristics.

[0048] Specifically, the comprehensive characteristic analysis unit in this embodiment analyzes the comprehensive characteristics of the soil according to the soil environmental characteristics, microbial diversity characteristics and nutrient association characteristics, and sets the comprehensive characteristics of the soil as F(j). , where U3(j) represents the set of collection time numbers corresponding to the current analysis and collection cycle, and NU3(j) represents the number of elements in the set of collection time numbers corresponding to the current analysis and collection cycle.

[0049] Specifically, in this embodiment, the comprehensive characteristic analysis unit analyzes the soil environmental characteristics, microbial diversity characteristics and nutrient association characteristics to analyze the comprehensive soil characteristics, and uses the soil comprehensive characteristics to represent the characteristic change relationship between the soil environmental data and the microbial data during the collection period, thereby improving the system's analysis efficiency of the soil microbial data and improving the accuracy of soil microbial data monitoring.

[0050] Please continue reading Figure 4 As shown, the soil comprehensive analysis module also includes: The environmental type analysis unit is used to adjust the analysis process of the soil comprehensive characteristics according to the soil environmental type, so that the adjusted soil comprehensive characteristics are related to the fluctuation size of environmental changes in the soil monitoring area. The environmental type analysis unit is connected to the comprehensive characteristics analysis unit.

[0051] Specifically, the environment type analysis unit in this embodiment adjusts the analysis process of the soil comprehensive characteristics according to the soil environment type. If the soil environment type is type I, the environment type analysis unit does not adjust the analysis process of the soil comprehensive characteristics; if the soil environment type is type II, the environment type analysis unit adjusts the analysis process of the soil comprehensive characteristics, and the adjusted soil comprehensive characteristics are F1(j), and F1(j)=F(j)×e Q-1; The environment type analysis unit analyzes the soil environment type to adjust the analysis process of the comprehensive soil characteristics. When the soil environment fluctuates greatly, the comprehensive soil characteristics are adjusted to reduce the impact of environmental changes on the comprehensive analysis of soil microorganisms, thereby improving the system's analysis efficiency of soil microorganism data and improving the accuracy of soil microorganism data monitoring.

[0052] Please continue reading Figure 4 As shown, the soil comprehensive analysis module also includes: The abundance type analysis unit is used to optimize the adjustment process of the soil comprehensive characteristics according to the community abundance type, so that the optimized soil comprehensive characteristics are related to the changes in the community types and their abundance characteristics in the microbial community. The abundance type analysis unit is connected to the environment type analysis unit.

[0053] Specifically, the abundance type analysis unit in this embodiment counts the number of biological community information of the community abundance type of the first type in the current collection period as the first abundance number, and counts the number of biological community information of the community abundance type of the second type in the current collection period as the second abundance number, and optimizes the adjustment process of the soil comprehensive characteristics according to the first abundance number and the second abundance number. If NR1(j) / NR2(j)>N1(j) / N2(j), the abundance type analysis unit determines that the first abundance number and the second abundance number meet the threshold value, optimizes the adjustment process of the soil comprehensive characteristics, and the optimized soil comprehensive characteristics are F2(j), and set F2(j)=F1(j)×e 1-[N1(j)+NR1(j)] / {2×[N1(j)+N2(j)]} ; If NR1(j) / NR2(j)≤N1(j) / N2(j), the abundance type analysis unit determines that the first abundance quantity and the second abundance quantity do not meet the threshold value, and does not optimize the adjustment process of the comprehensive characteristics of the soil; wherein NR1(j) represents the first abundance quantity and NR2(j) represents the second abundance quantity.

[0054] Specifically, in this embodiment, the abundance type analysis unit counts the biological community information of the community abundance type within the collection period to count the first abundance quantity and the second abundance quantity, thereby optimizing the adjustment process of the comprehensive characteristics of the soil according to the first abundance quantity and the second abundance quantity, and realizing the difference between the abundance quantity and the quantity of each microbial species, thereby improving the system's analysis efficiency of soil microbial data and improving the accuracy of soil microbial data monitoring.

[0055] Please continue reading Figure 1 As shown, the soil microorganism monitoring and management system based on big data analysis also includes: The data type analysis module is used to determine the soil microbial data type according to the comprehensive characteristics of the soil and output the soil microbial data type to the user. The soil microbial data type includes normal data and abnormal data. The data type analysis module is connected to the soil comprehensive analysis module.

[0056] Specifically, the data type analysis module in this embodiment compares the soil comprehensive characteristics with the feature comparison threshold, and determines the soil microorganism data type according to the comparison result. If F(j)≤f, the data type analysis module determines that the soil microorganism data type is abnormal data. If F(j)>f, the data type analysis module determines that the soil microorganism data type is normal data, wherein f represents the feature comparison threshold, 8≤f≤12. It can be understood that the value of the feature comparison threshold is not specifically limited in this embodiment, and those skilled in the art can freely set it as long as it satisfies the judgment of the soil microorganism data type. The optimal value of the feature comparison threshold is: f=10.

[0057] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the embodiments of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is impossible to list all the embodiments here. All obvious changes or modifications derived from the technical solution of the present invention are still within the protection scope of the present invention.

Claims

1. A soil microorganism monitoring and management system based on big data analysis, characterized in that: include: The soil data collection module is used to collect soil environmental information in the soil monitoring area in real time, and is also used to periodically collect soil microbial community information and soil ammonia nitrogen content; The soil environment analysis module is used to analyze soil environment characteristics according to soil environment information, and is also used to store soil environment characteristics and collected soil environment information, and analyze soil environment types according to the stored data; A community information analysis module, which is used to analyze the microbial diversity characteristics according to the microbial community information, and is also used to store the microbial community information and analyze the community abundance type according to the stored microbial community information; Soil nutrient analysis module, used to analyze nutrient association characteristics based on microbial community information and soil ammonia nitrogen content; The soil comprehensive analysis module is used to analyze the comprehensive characteristics of soil according to soil environmental characteristics, soil environmental types, microbial diversity characteristics, community abundance types and nutrient association characteristics; The data type analysis module is used to determine the soil microbial data type based on the comprehensive characteristics of the soil and output the soil microbial data type to the user.

2. The soil microorganism monitoring and management system based on big data analysis according to claim 1 is characterized in that: The soil environment analysis module is provided with an environment characteristic analysis unit, which is used to analyze the soil environment characteristics according to the soil temperature T(i), the soil acidity pH(i) and the soil water content D(i) to obtain the soil environment characteristics H(i).

3. The soil microorganism monitoring and management system based on big data analysis according to claim 2 is characterized in that: The soil environment analysis module is also provided with a storage data analysis unit, which is used to analyze the environmental fluctuation characteristics according to the stored soil environment characteristics to obtain the environmental fluctuation characteristics Q.

4. The soil microorganism monitoring and management system based on big data analysis according to claim 3 is characterized in that: The soil environment analysis module is also provided with a soil type judgment unit, which is used to compare the environmental fluctuation feature Q with the environmental fluctuation threshold q, and judge the soil environment type according to the comparison result. The soil environment type includes one category and two categories.

5. The soil microorganism monitoring and management system based on big data analysis according to claim 4 is characterized in that: The community information analysis module is provided with a community characteristic analysis unit, which is used to count the number of microbial community information whose community type is nitrogen-fixing bacteria as the first community number N1(j), count the number of microbial community information whose community type is non-nitrogen-fixing bacteria as the second community number N2(j), and analyze the biodiversity characteristics according to the first community number, the second community number and the relative abundance of microorganisms to obtain the microbial diversity characteristics G(j).

6. The soil microorganism monitoring and management system based on big data analysis according to claim 5 is characterized in that: The community information analysis module is also provided with a community data storage unit, which is used to analyze the community abundance characteristics according to the stored microbial community information to obtain the community abundance characteristics R(k); The community data storage unit compares the community abundance feature R(k) with the community abundance threshold r, and determines the community abundance type according to the comparison result, and the community abundance type includes one category and two categories.

7. The soil microorganism monitoring and management system based on big data analysis according to claim 6 is characterized in that: The soil nutrient analysis module analyzes the nutrient association characteristics according to the absolute abundance of microorganisms A1(j,k) and the soil ammonia nitrogen content P(j) to obtain the nutrient association characteristics S(j).

8. The soil microorganism monitoring and management system based on big data analysis according to claim 7 is characterized in that: The soil comprehensive analysis module is provided with a comprehensive characteristic analysis unit, which is used to analyze the comprehensive characteristics of the soil according to the soil environmental characteristics H(i), the microbial diversity characteristics G(j) and the nutrient association characteristics S(j) to obtain the comprehensive soil characteristics F(j).

9. The soil microorganism monitoring and management system based on big data analysis according to claim 8, characterized in that: The soil comprehensive analysis module is also provided with an environment type analysis unit, which is used to adjust the analysis process of the soil comprehensive characteristics according to the soil environment type. When the soil environment type is Class II, the analysis process of the soil comprehensive characteristics is adjusted, and the adjusted soil comprehensive characteristics are F1(j); The soil comprehensive analysis module is also provided with an abundance type analysis unit, which is used to count the number of biological community information with community abundance type one in the current collection period as the first abundance number NR1(j), count the number of biological community information with community abundance type two in the current collection period as the second abundance number NR2(j), and optimize the adjustment process of the soil comprehensive characteristics according to the first abundance number and the second abundance number. When the first abundance number and the second abundance number meet the threshold, the adjustment process of the soil comprehensive characteristics is optimized, and the optimized soil comprehensive characteristics are F2(j).

10. The soil microorganism monitoring and management system based on big data analysis according to claim 9, characterized in that: The data type analysis module compares the soil comprehensive feature F(j) with the feature comparison threshold f, and determines the soil microbial data type according to the comparison result, and the soil microbial data type includes normal data and abnormal data.

Images