A monitoring system for microbial degradation and fermentation and related agricultural and animal husbandry breeding system

Abstract

The present invention relates to the technical field of microbial degradation and fermentation monitoring, and in particular to a monitoring system for microbial degradation and fermentation and a related agricultural and animal husbandry breeding system, including an information acquisition module for acquiring environmental information, fermentation weight and microbial information in an agricultural and animal husbandry breeding area, a fermentation analysis module for analyzing fermentation environmental parameters, fermentation environmental categories and comprehensive category parameters; an image analysis module for analyzing microbial characteristics; an information storage module for storing acquired and analyzed data; a difference analysis module for analyzing category difference parameters; a history analysis module for analyzing environmental fluctuation parameters, fermentation balance parameters and breeding-related parameters; a monitoring and analysis module for analyzing degradation and fermentation parameters; and an abnormal output module for analyzing and outputting degradation and fermentation states. The present invention realizes accurate monitoring of microbial degradation and fermentation.

Description

Technical Field

[0001] The present invention relates to the technical field of microbial degradation and fermentation monitoring, and in particular to a microbial degradation and fermentation monitoring system and a related agricultural and animal husbandry breeding system. Background Art

[0002] Microbial degradation and fermentation monitoring is an important research direction in the field of environmental science and bioengineering. By monitoring the activity and metabolic changes of microorganisms during the degradation process, effective control of the fermentation process can be achieved. This technology not only helps to improve waste treatment efficiency, but also promotes the recycling of biological resources and provides technical support for sustainable development.

[0003] Chinese Patent Publication No.: CN111027645A discloses a method for monitoring faults in a microbial fermentation process based on the construction of high-order statistics within sub-stages, including two stages: "offline modeling" and "online monitoring". "Offline modeling" includes: dividing the original data into stages, using kernel entropy component analysis (KECA) to process and solve the nonlinearity of the data; then using HCA technology in high-dimensional kernel entropy space to construct new sub-stage statistics for process monitoring. "Online monitoring" includes: preprocessing the newly collected data, calculating its statistics and comparing them with the control limits to determine whether the fermentation process is running normally. This invention realizes online monitoring of data during the fermentation process, but does not realize comprehensive analysis of fermentation area data and fermentation source data in the fermentation area. There are problems of low efficiency and inaccurate analysis of microbial degradation fermentation data. Summary of the invention

[0004] To this end, the present invention provides a monitoring system for microbial degradation and fermentation and a related agricultural and animal husbandry breeding system to overcome the problems of low efficiency and inaccurate analysis of microbial degradation and fermentation data in the prior art.

[0005] To achieve the above objectives, on the one hand, the present invention provides a monitoring system for microbial degradation and fermentation, comprising:

[0006] An information acquisition module is used to obtain environmental information and fermentation weight in the agricultural and animal husbandry breeding area in real time, and is also used to periodically obtain microbial information in the biodegradation fermentation area according to a preset analysis cycle;

[0007] A fermentation analysis module, for analyzing fermentation environment parameters, fermentation environment categories and comprehensive category parameters according to environmental information, fermentation product weight and microbial information;

[0008] An image analysis module for analyzing microbial characteristics based on microbial information;

[0009] An information storage module is used to store the acquired and analyzed information and parameters as storage data;

[0010] A difference analysis module for analyzing category difference parameters based on stored data;

[0011] A historical analysis module is used to analyze environmental fluctuation parameters, fermentation balance parameters and aquaculture-related parameters based on stored data;

[0012] A monitoring and analysis module is used to analyze degradation fermentation parameters according to fermentation product weight, fermentation environment parameters, comprehensive category parameters, microbial characteristics, category difference parameters, environmental fluctuation parameters, fermentation balance parameters and breeding related parameters;

[0013] The abnormal output module is used to analyze the degradation and fermentation status according to the degradation and fermentation parameters and output the degradation and fermentation status.

[0014] Furthermore, the fermentation analysis module is provided with an environment analysis unit, which is used to calculate the fermentation environment parameters according to the fermentation environment information and the fermentation weight through the fermentation analysis formula. The environment analysis unit is provided with the fermentation analysis formula as follows:

[0015]

[0016] Wherein, T1 represents the temperature of the fermentation zone, pH represents the pH value of the fermentation zone, D represents the dissolved oxygen concentration in the fermentation zone, t1 represents the first temperature threshold, and t2 represents the second temperature threshold.

[0017] Furthermore, the fermentation analysis module is provided with a fermentation classification unit and a category analysis unit, wherein the fermentation classification unit analyzes the fermentation environment category of the fermentation environment parameter according to the fermentation environment information and the microorganism type, wherein:

[0018] When T1<t1 or T1>t2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is temperature abnormality data;

[0019] When t1≤T1≤t2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is normal temperature data;

[0020] When pH < p1 or pH > p2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is abnormal pH data;

[0021] When p1≤pH≤p2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is normal pH data;

[0022] When the microorganism type is anaerobic and D>d1, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is abnormal dissolved oxygen data;

[0023] When the microorganism type is anaerobic and D≤d1, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is normal dissolved oxygen data;

[0024] When the microorganism type is facultative aerobic and D<d2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is abnormal dissolved oxygen data;

[0025] When the microorganism type is facultative aerobic and D≥d2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is normal dissolved oxygen data;

[0026] Wherein, t1 represents a first temperature threshold, t2 represents a second temperature threshold, p1 represents a first pH threshold, p2 represents a second pH threshold, d1 represents a first dissolved oxygen threshold, and d2 represents a second dissolved oxygen threshold;

[0027] The category analysis unit calculates the comprehensive category parameter according to the temperature category parameter, the pH category parameter and the dissolved oxygen category parameter, and sets: B=a1×a2×a3, wherein B represents the comprehensive category parameter, a1 represents the temperature category parameter, a2 represents the pH category parameter, and a3 represents the dissolved oxygen category parameter.

[0028] Furthermore, the image analysis module extracts the stained pixels according to the grayscale fluctuation parameter after staining and the stained image, wherein:

[0029] When L(x2, y2)<Q2+Q3, the image analysis module extracts the current analysis pixel as the dyed pixel;

[0030] When L(x2,y2)≥Q2+Q3, the image analysis module does not extract the current analysis pixel point;

[0031] Among them, L(x2,y2) represents the gray value of each pixel in the stained image, (x2,y2) represents the coordinates of each pixel in the stained image, Q2 represents the gray mean after staining, and Q3 represents the gray fluctuation parameter after staining;

[0032] The image analysis module analyzes the microbial characteristics according to the grayscale mean before staining, the grayscale mean after staining and the stained pixels through the image feature analysis formula. The image analysis module is provided with the following image feature analysis formula:

[0033]

[0034]

[0035] Where W represents the microbial feature, Q4 represents the grayscale mean of the stained pixel, N3 represents the number of stained pixels, L(x3,y3) represents the grayscale value of the stained pixel, (x3,y3) represents the coordinates of the stained pixel, X represents the number of pixels in the x-axis direction of the microbial image, and Y represents the number of pixels in the y-axis direction of the microbial image.

[0036] Furthermore, the difference analysis module calculates the category difference parameters through a difference analysis formula according to the stored fermentation environment parameters, temperature anomaly number, pH anomaly number, dissolved oxygen anomaly number and comprehensive anomaly number. The difference analysis module is provided with a difference analysis formula as follows:

[0037]

[0038] F(k) represents the category difference parameter, k represents the category anomaly number, k = {1, 2, 3, 4}, F(1) represents the temperature difference parameter, F(2) represents the pH difference parameter, F(3) represents the dissolved oxygen difference parameter, and F(4) represents the comprehensive difference parameter. J(k) represents the anomaly number set, J(1) represents the temperature anomaly number set, J(2) represents the pH anomaly number set, J(3) represents the dissolved oxygen anomaly number set, and J(4) represents the comprehensive anomaly number set. N(k) represents the number of category anomaly numbers, N(1) represents the temperature anomaly number set, N(2) represents the pH anomaly number set, N(3) represents the dissolved oxygen anomaly number set, and N(4) represents the comprehensive anomaly number set.

[0039] Furthermore, the historical analysis module is provided with a fluctuation analysis unit, a balance analysis unit and a correlation analysis unit, wherein:

[0040] The fluctuation analysis unit calculates the fermentation environment fluctuation parameters and the aquaculture environment fluctuation parameters according to the stored fermentation environment parameters and the aquaculture area temperature through the environmental fluctuation analysis formula. The fluctuation analysis unit is provided with the environmental fluctuation analysis formula as follows:

[0041]

[0042]

[0043] Among them, S1 represents the fermentation environment fluctuation parameter, S2 represents the breeding environment fluctuation parameter, A(i) represents the stored fermentation environment parameter, i max represents the maximum value of the storage cycle number, T2(i) represents the stored temperature of the breeding area;

[0044] The balance analysis unit analyzes the fermentation balance parameters according to the stored fermentation environment information.

[0045]

[0046] Wherein, G(i) represents the fermentation equilibrium parameter, C1(i) ​​represents the stored carbon dioxide concentration in the fermentation area, C1(i-1) represents the stored carbon dioxide concentration in the fermentation area in the previous cycle of the current analysis period, C2(i) represents the stored carbon dioxide concentration in the breeding area, C2(i-1) represents the stored carbon dioxide concentration in the breeding area in the previous cycle of the current analysis period, C3(i) represents the carbon dioxide concentration in the planting area, and C3(i-1) represents the stored carbon dioxide concentration in the planting area in the previous cycle of the current analysis period;

[0047] The correlation analysis unit calculates the aquaculture correlation parameters according to the stored aquaculture area temperature and fermentation product weight through a correlation analysis formula. The correlation analysis unit is provided with a correlation analysis formula as follows:

[0048]

[0049] Among them, R represents the breeding related parameter, M(i max ) represents the weight of the fermented product when the storage cycle number is the maximum value of the storage cycle number.

[0050] Furthermore, the monitoring and analysis module is provided with a monitoring and analysis unit, which is used to calculate the degradation fermentation parameters through a monitoring and analysis formula according to the fermentation environment parameters, microbial characteristics and fermentation balance parameters. The monitoring and analysis unit is provided with a monitoring and analysis formula as follows:

[0051] H=A×W / G(i max )

[0052] Among them, H represents the degradation fermentation parameter, G(i max ) represents the fermentation equilibrium parameter of the last storage cycle.

[0053] Furthermore, the monitoring and analysis module is provided with a monitoring adjustment unit and a monitoring optimization unit, wherein:

[0054] The monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters according to the comprehensive category parameters and the category difference parameters, wherein:

[0055] When B=1, the monitoring and adjustment unit does not adjust the analysis process of the degradation and fermentation parameters;

[0056] When B=b1, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 is set to be H×F(1)×[F(2)+F(3)] / [2×F(4)];

[0057] When B=b2, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 is set to be H×F(2)×[F(1)+F(3)] / [2×F(4)];

[0058] When B=b3, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 is set to be H×F(3)×[F(1)+F(2)] / [2×F(4)];

[0059] When B=b1×b2, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 is set to be H×F(1)×F(2) / F(4) 2 ;

[0060] When B=b1×b3, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 is set to be H×F(1)×F(3) / F(4) 2 ;

[0061] When B=b2×b3, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 is set to be H×F(2)×F(3) / F(4) 2 ;

[0062] When B = b1 × b2 × b3, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 is set to be H × F (1) × F (2) × F (3) / F (4) 3 ;

[0063] The monitoring and optimization unit optimizes the adjustment process of the degradation fermentation parameters according to the environmental information, the fermentation environment fluctuation parameters, the breeding environment fluctuation parameters and the breeding related parameters, wherein:

[0064] When S1 / A>α, the monitoring optimization unit determines that the environmental fluctuation is abnormal, optimizes the adjustment process of the degradation and fermentation parameters, and the optimized degradation and fermentation parameters are H2, and H2=H1×e S1 ×M(i max )×R / S2;

[0065] When S1 / A≤α, the monitoring and optimization unit determines that the environmental fluctuation is normal and does not optimize the adjustment process of the degradation fermentation parameters;

[0066] Here, α represents the comparison threshold.

[0067] Furthermore, the abnormal output module compares the degradation fermentation parameter with the degradation fermentation threshold, and analyzes the degradation fermentation state according to the comparison result, wherein:

[0068] When H>h, the abnormal output module determines that the degradation and fermentation state is normal;

[0069] When H≤h, the abnormal output module determines that the degradation and fermentation state is abnormal;

[0070] Wherein, h represents the degradation fermentation threshold.

[0071] On the other hand, the present invention also provides an agricultural and animal husbandry breeding system, comprising:

[0072] The roof is a hemispherical structure. A planting area is provided under the roof for planting crops. The area below the planting area is a breeding area for breeding pigs, chickens, ducks and other poultry and livestock. A fermentation area is provided under the breeding area for degrading and fermenting the excrement of poultry or livestock.

[0073] A skylight is provided in the center of the roof for heat dissipation and ventilation. A support frame is provided below the skylight. The support frame is made of metal and is used to support the skylight. The support frame is located in the center of the planting area and is arranged above the ground of the planting area. A staircase is arranged around the outside of the bottom of the support frame. The staircase is a spiral staircase for passing between the planting area and the breeding area, and is also used to transport carbon dioxide generated in the breeding area to the planting area. The staircase is arranged below the ground of the planting area and above the ground of the breeding area.

[0074] Compared with the prior art, the beneficial effect of the present invention lies in that the information acquisition module acquires environmental information, fermentation product weight and microbial information to improve the accuracy of information acquisition, thereby improving the system's analysis and monitoring efficiency of microbial degradation fermentation data and improving the accuracy of analysis. The fermentation analysis module analyzes environmental information, fermentation product weight and microbial information to analyze fermentation environment parameters, fermentation environment categories and comprehensive category parameters, uses fermentation environment parameters to represent the environmental characteristics of the fermentation area, and uses fermentation environment categories to represent the types of various data in the fermentation area environmental information, thereby improving the system's analysis and monitoring efficiency of microbial degradation fermentation data and improving the accuracy of analysis. The image analysis module analyzes the microbial information to analyze the microbial characteristics, and uses the microbial characteristics to represent the grayscale characteristics of the microbial image data to detect the microbial samples in the fermentation area, thereby improving the system's analysis and monitoring efficiency of microbial degradation and fermentation data, and improving the accuracy of the analysis. The information storage module stores the acquired and analyzed information and parameters to improve the accuracy of information storage, thereby improving the system's analysis and monitoring efficiency of microbial degradation and fermentation data, and improving the accuracy of the analysis. The difference analysis module analyzes the stored data to analyze the category difference parameters, and uses the category difference parameters to represent the environment of the fermentation area. The environmental characteristics of the environmental information when it is in different types, thereby improving the system's analysis and monitoring efficiency of microbial degradation and fermentation data, and improving the accuracy of the analysis. The historical analysis module analyzes the stored data to analyze environmental fluctuation parameters, fermentation balance parameters and breeding-related parameters, increase the diversity of system analysis, thereby improving the system's analysis and monitoring efficiency of microbial degradation and fermentation data, and improving the accuracy of the analysis. The monitoring and analysis module analyzes the fermentation weight, fermentation environmental parameters, comprehensive category parameters, microbial characteristics, category difference parameters, environmental fluctuation parameters, fermentation balance parameters and breeding-related parameters to analyze the degradation and fermentation parameters, and uses the degradation and fermentation The parameters represent the changing relationship between the degradation and fermentation data of the microorganisms in the fermentation area and the data of the planting area and the breeding area, thereby improving the system's analysis and monitoring efficiency of the microbial degradation and fermentation data, and improving the accuracy of the analysis. The degradation and fermentation parameters are analyzed by the abnormal output module to analyze the degradation and fermentation state, and the degradation and fermentation state is used to indicate whether there is an abnormality in the analyzed data, thereby improving the system's analysis and monitoring efficiency of the microbial degradation and fermentation data, and improving the accuracy of the analysis. The degradation and fermentation state is output by the abnormal output module to improve the accuracy of the system output, thereby improving the system's analysis and monitoring efficiency of the microbial degradation and fermentation data, and improving the accuracy of the analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 This is a schematic diagram of the structure of the monitoring system for microbial degradation and fermentation of this embodiment;

[0076] Figure 2 This is a schematic diagram of the structure of the fermentation analysis module of this embodiment;

[0077] Figure 3 This is a schematic diagram of the structure of the history analysis module of this embodiment;

[0078] Figure 4 This is a schematic diagram of the structure of the monitoring and analysis module of this embodiment;

[0079] Figure 5 It is a structural schematic diagram of the agricultural and animal husbandry breeding system of this embodiment. DETAILED DESCRIPTION

[0080] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0081] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0082] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0083] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0084] See also Figure 1 As shown, it is a monitoring system for microbial degradation and fermentation in this embodiment, including:

[0085] The information acquisition module is used to obtain the environmental information and fermentation weight in the agricultural and animal husbandry breeding area in real time, and is also used to periodically obtain the microbial information in the biodegradation fermentation area according to a preset analysis cycle, the environmental information includes fermentation environment information, breeding environment information and planting environment information, the fermentation environment information includes fermentation area temperature, fermentation area pH value, fermentation area dissolved oxygen concentration and fermentation area carbon dioxide concentration, the breeding environment information includes breeding area temperature and breeding area carbon dioxide concentration, the planting environment information includes planting area carbon dioxide concentration, the fermentation area temperature and breeding area temperature units are ° C, the fermentation area dissolved oxygen concentration unit is mg / L, the fermentation weight unit is kg, the agricultural and animal husbandry breeding area includes fermentation area, breeding area and planting area, the fermentation area is an area for degrading and fermenting animal excrement, the breeding area is an area for animal husbandry, the planting area is an area for planting crops, and the microbial The biological information includes microorganism types and microorganism images, the microorganism types include anaerobic and facultative aerobic types, the microorganism images include pre-staining images and post-staining images, the pre-staining images are microorganism images before the microorganisms are stained when the collected microorganisms are subjected to microbial inspection by staining, the post-staining images are microorganism images after the microorganisms are stained when the collected microorganisms are subjected to microbial inspection by staining, the microorganism images are grayscale images, the environmental information is obtained by sensors provided in the agricultural and animal husbandry breeding area, the fermentation weight is obtained by pressure sensors provided in the fermentation area, the microorganism information is obtained by user interactive input, the preset analysis period in this embodiment is 1 day, the preset analysis period is not specifically limited in this embodiment, and can be freely set by those skilled in the art, such as 0.5 days, 3 days, 5 days, etc.;

[0086] A fermentation analysis module, used for analyzing fermentation environment parameters, fermentation environment categories and comprehensive category parameters according to environmental information and microbial information, the fermentation analysis module being connected to the information acquisition module;

[0087] An image analysis module, used to analyze microbial characteristics according to microbial information, the image analysis module is connected to the information acquisition module;

[0088] An information storage module, used to store the acquired and analyzed information and parameters as storage data, the information storage module being connected to the fermentation analysis module;

[0089] A difference analysis module, used for analyzing the category difference parameters according to the stored data, the difference analysis module is connected to the information storage module;

[0090] A history analysis module, used for analyzing environmental fluctuation parameters, fermentation balance parameters and aquaculture related parameters according to stored data, the history analysis module is connected to the information storage module, the environmental fluctuation parameters include fermentation environment fluctuation parameters and aquaculture environment fluctuation parameters;

[0091] A monitoring and analysis module, used for analyzing the degradation fermentation parameters according to the fermentation product weight, fermentation environment parameters, comprehensive category parameters, microbial characteristics, category difference parameters, environmental fluctuation parameters, fermentation balance parameters and breeding related parameters, the monitoring and analysis module is connected with the difference analysis module, the history analysis module and the image analysis module;

[0092] The abnormal output module is used to analyze the degradation and fermentation state according to the degradation and fermentation parameters and output the degradation and fermentation state. The abnormal output module is connected to the monitoring and analysis module.

[0093] See also Figure 2 As shown, the fermentation analysis module includes:

[0094] An environmental analysis unit, used to analyze fermentation environmental parameters according to fermentation environmental information;

[0095] A fermentation classification unit, used for analyzing the fermentation environment category of the fermentation environment parameter according to the fermentation environment information and the microorganism type, the fermentation classification unit being connected to the environment analysis unit;

[0096] The category analysis unit is used to analyze the comprehensive category parameters according to the fermentation environment category, and the category analysis unit is connected to the fermentation classification unit.

[0097] See also Figure 3 As shown, the historical analysis module includes:

[0098] A fluctuation analysis unit, used to analyze the fermentation environment fluctuation parameters according to the stored fermentation environment parameters, and also used to analyze the aquaculture environment fluctuation parameters according to the stored aquaculture area temperature;

[0099] A balance analysis unit, used for analyzing the fermentation balance parameters according to the stored fermentation environment information, the balance analysis unit being connected to the fluctuation analysis unit;

[0100] The correlation analysis unit is used to analyze the aquaculture-related parameters according to the stored aquaculture environment information and the fermentation product weight, and the correlation analysis unit is connected to the balance analysis unit.

[0101] See also Figure 4 As shown, the monitoring and analysis module includes:

[0102] A monitoring and analysis unit for analyzing degradation fermentation parameters according to fermentation environment parameters, microbial characteristics and fermentation balance parameters;

[0103] A monitoring and adjusting unit, used for adjusting the analysis process of the degradation and fermentation parameters according to the comprehensive category parameters and the category difference parameters, the monitoring and adjusting unit being connected to the monitoring and analyzing unit;

[0104] The monitoring and optimization unit is used to optimize the adjustment process of the degradation fermentation parameters according to the fermentation environment fluctuation parameters, the breeding environment fluctuation parameters and the breeding related parameters. The monitoring and optimization unit is connected to the monitoring and adjustment unit.

[0105] Specifically, this embodiment is applied to the data cloud of the agricultural and animal husbandry breeding system, and the data of each area in the agricultural and animal husbandry breeding system is obtained and analyzed to monitor the abnormality of the degradation and fermentation state of the fermentation area. The environmental information, the weight of the fermented product and the microbial information are obtained by the information acquisition module to improve the accuracy of information acquisition, thereby improving the system's analysis and monitoring efficiency of microbial degradation and fermentation data, and improving the accuracy of analysis. The fermentation analysis module analyzes the environmental information, the weight of the fermented product and the microbial information to analyze the fermentation environment parameters, the fermentation environment categories and the comprehensive category parameters, and uses the fermentation environment parameters to represent the environmental characteristics of the fermentation area, and uses the fermentation environment categories to represent the environmental information of the fermentation area. The type of each data, thereby improving the system's analysis and monitoring efficiency of microbial degradation and fermentation data, and improving the accuracy of the analysis. The image analysis module analyzes the microbial information to analyze the microbial characteristics, and uses the microbial characteristics to represent the grayscale characteristics of the microbial image data, so as to detect the microbial samples in the fermentation area, thereby improving the system's analysis and monitoring efficiency of microbial degradation and fermentation data, and improving the accuracy of the analysis. The information storage module stores the acquired and analyzed information and parameters to improve the accuracy of information storage, thereby improving the system's analysis and monitoring efficiency of microbial degradation and fermentation data, and improving the accuracy of the analysis. The difference analysis module analyzes the stored data to Analyze the category difference parameters, and use the category difference parameters to represent the environmental characteristics of the fermentation area environmental information when it is in different types, so as to improve the system's analysis and monitoring efficiency of microbial degradation fermentation data, and improve the accuracy of the analysis. Through the analysis of the stored data by the historical analysis module, the environmental fluctuation parameters, fermentation balance parameters and aquaculture related parameters are analyzed to increase the diversity of system analysis, thereby improving the system's analysis and monitoring efficiency of microbial degradation fermentation data, and improve the accuracy of the analysis. Through the analysis of the fermentation weight, fermentation environmental parameters, comprehensive category parameters, microbial characteristics, category difference parameters, environmental fluctuation parameters, fermentation balance parameters and aquaculture related parameters by the monitoring and analysis module, the degradation is analyzed. Degradation and fermentation parameters are used to represent the changing relationship between the degradation and fermentation data of microorganisms in the fermentation area and the data of the planting area and the breeding area, thereby improving the system's analysis and monitoring efficiency of microbial degradation and fermentation data, and improving the accuracy of the analysis. The degradation and fermentation parameters are analyzed by the abnormal output module to analyze the degradation and fermentation state, and the degradation and fermentation state is used to represent whether there is an abnormality in the analyzed data, thereby improving the system's analysis and monitoring efficiency of microbial degradation and fermentation data, and improving the accuracy of the analysis. The degradation and fermentation state is output by the abnormal output module to improve the accuracy of the system output, thereby improving the system's analysis and monitoring efficiency of microbial degradation and fermentation data, and improving the accuracy of the analysis.

[0106] Specifically, the environmental analysis unit in this embodiment calculates the fermentation environment parameters according to the fermentation environment information through the fermentation analysis formula. The environmental analysis unit is provided with a fermentation analysis formula as follows:

[0107]

[0108] Wherein, T1 represents the temperature of the fermentation zone, pH represents the pH value of the fermentation zone, D represents the dissolved oxygen concentration of the fermentation zone, t1 represents the first temperature threshold, 30≤t1≤40, t2 represents the second temperature threshold, 50≤t2≤60. It can be understood that the value of the temperature threshold is not specifically limited in this embodiment, and those skilled in the art can freely set it as long as the analysis of the fermentation environment parameters is satisfied. The setting of the temperature threshold is related to the type of microorganism, and the optimal value of the temperature threshold is: t1=40, t2=50.

[0109] Specifically, in this embodiment, the environmental analysis unit analyzes the fermentation environment information to analyze the fermentation environment parameters, and uses the fermentation environment parameters to represent the environmental characteristics in the fermentation area, thereby improving the system's analysis and monitoring efficiency of microbial degradation fermentation data and improving the accuracy of the analysis.

[0110] Specifically, the fermentation classification unit in this embodiment analyzes the fermentation environment category of the fermentation environment parameter according to the fermentation environment information and the microorganism type, wherein:

[0111] When T1<t1 or T1>t2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is temperature abnormality data;

[0112] When t1≤T1≤t2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is normal temperature data;

[0113] When pH < p1 or pH > p2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is abnormal pH data;

[0114] When p1≤pH≤p2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is normal pH data;

[0115] When the microorganism type is anaerobic and D>d1, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is abnormal dissolved oxygen data;

[0116] When the microorganism type is anaerobic and D≤d1, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is normal dissolved oxygen data;

[0117] When the microorganism type is facultative aerobic and D<d2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is abnormal dissolved oxygen data;

[0118] When the microorganism type is facultative aerobic and D≥d2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is normal dissolved oxygen data;

[0119] Wherein, t1 represents the first temperature threshold, 30≤t1≤40, t2 represents the second temperature threshold, 50≤t2≤60, p1 represents the first pH threshold, 6≤p1≤7, p2 represents the second pH threshold, 8≤p2≤9, d1 represents the first dissolved oxygen threshold, 0.1≤d1≤d2, d2 represents the second dissolved oxygen threshold, 1.5≤d2≤2.5. It can be understood that in this embodiment, the values ​​of the temperature threshold, pH threshold and dissolved oxygen threshold are not specifically limited, and those skilled in the art can freely set them as long as they meet the analysis of the fermentation environment category. The setting of the temperature threshold, pH threshold and dissolved oxygen threshold is related to the type of microorganism. The optimal values ​​of the temperature threshold, pH threshold and dissolved oxygen threshold are: t1=40, t2=50, p1=6, p2=9, d1=0.2, d2=2.

[0120] Specifically, in this embodiment, the fermentation classification unit analyzes the fermentation environment information and the microorganism type to analyze the fermentation environment category of the fermentation environment parameters, and uses the fermentation environment category to indicate whether each data in the fermentation area environmental information is abnormal, thereby improving the system's analysis and monitoring efficiency of microbial degradation fermentation data and improving the accuracy of the analysis.

[0121] Specifically, the category analysis unit in this embodiment sets category parameters corresponding to different fermentation environment categories, wherein:

[0122] When the fermentation environment category is temperature abnormality data, the category analysis unit sets the temperature category parameter to a1=b1;

[0123] When the fermentation environment category is normal temperature data, the category analysis unit sets the temperature category parameter to a1=1;

[0124] When the fermentation environment category is abnormal pH data, the category analysis unit sets the pH category parameter to a2=b2;

[0125] When the fermentation environment category is normal pH data, the category analysis unit sets the pH category parameter to a2=1;

[0126] When the fermentation environment category is abnormal dissolved oxygen data, the category analysis unit sets the dissolved oxygen category parameter to a3=b3;

[0127] When the fermentation environment category is dissolved oxygen abnormal data, the category analysis unit sets the dissolved oxygen category parameter to a3=1.

[0128] Among them, a1 represents the temperature category parameter, a2 represents the pH category parameter, a3 represents the dissolved oxygen category parameter, b1 represents the first category parameter, b1∈N + And b1>1, b2 represents the second category parameter, b2∈N + And b2>1, b3 represents the third category parameter, b3∈N + And b3>1, b1≠b2≠b3, b1×b2≠b3, b1×b3≠b2, b2×b3≠b1.

[0129] Specifically, in this embodiment, the first category parameter adopts b1 = 2, the second category parameter adopts b2 = 3, and the third category parameter adopts b3 = 4. It can be understood that in this embodiment, the values ​​of the first category parameter, the second category parameter, and the third category parameter are not specifically limited, and those skilled in the art can freely set them, such as b1 = 3, b2 = 4, b3 = 5, etc.

[0130] Specifically, the category analysis unit in this embodiment calculates the comprehensive category parameter according to the temperature category parameter, the pH category parameter and the dissolved oxygen category parameter, and sets: B=a1×a2×a3, where B represents the comprehensive category parameter.

[0131] Specifically, in this embodiment, the category analysis unit analyzes the fermentation environment category to analyze the comprehensive category parameters, assigns values ​​to different fermentation environment categories, and numerically represents the fermentation environment category of each fermentation environment parameter, thereby improving the system's analysis and monitoring efficiency of microbial degradation fermentation data and improving the accuracy of the analysis.

[0132] Specifically, when analyzing a microbial image, the image analysis module described in this embodiment uses the pixel point in the lower left corner of the microbial image as the coordinate origin, and uses the two lines in the microbial image adjacent to the coordinate origin as the x-axis and y-axis. The x-axis increases from left to right, and the y-axis increases from bottom to top. The unit length is 1 pixel. A plane rectangular coordinate system is established, and the position of each pixel in the microbial image is represented by coordinate points.

[0133] Specifically, the image analysis module in this embodiment calculates the grayscale mean before staining and the grayscale mean after staining according to the microbial image through the grayscale mean formula. The image analysis module is provided with the grayscale mean formula as follows:

[0134] Q1=∑L(x1,y1) / (X×Y)

[0135] Q2=∑L(x2,y2) / (X×Y)

[0136] Among them, Q1 represents the grayscale mean before staining, L(x1,y1) represents the grayscale value of each pixel in the image before staining, (x1,y1) represents the coordinates of each pixel in the image before staining, Q2 represents the grayscale mean after staining, L(x2,y2) represents the grayscale value of each pixel in the image after staining, (x2,y2) represents the coordinates of each pixel in the image after staining, X represents the number of pixels in the x-axis direction of the microbial image, and Y represents the number of pixels in the y-axis direction of the microbial image.

[0137] Specifically, the image analysis module in this embodiment calculates the grayscale fluctuation parameter after staining according to the stained image and the grayscale mean after staining through the first image analysis formula, and the image analysis module is provided with the first image analysis formula as follows:

[0138]

[0139] Among them, Q3 represents the grayscale fluctuation parameter after dyeing.

[0140] Specifically, the image analysis module in this embodiment extracts the stained pixels according to the grayscale fluctuation parameter after staining and the stained image, wherein:

[0141] When L(x2, y2)<Q2+Q3, the image analysis module extracts the current analysis pixel as the dyed pixel;

[0142] When L(x2, y2)≥Q2+Q3, the image analysis module does not extract the current analysis pixel.

[0143] Specifically, the image analysis module in this embodiment analyzes the microbial characteristics according to the grayscale mean before staining, the grayscale mean after staining and the stained pixels through the image feature analysis formula, and the image analysis module is provided with the following image feature analysis formula:

[0144]

[0145]

[0146] Among them, W represents the microbial characteristics, Q4 represents the grayscale mean of the stained pixels, N3 represents the number of stained pixels, L(x3,y3) represents the grayscale value of the stained pixels, and (x3,y3) represents the coordinates of the stained pixels.

[0147] Specifically, when the information storage module in this embodiment stores the environmental information, the weight of the fermented product, the fermentation environment parameters, the fermentation environment category and the comprehensive category parameters, the data is numbered according to the storage order, and the environmental information, the weight of the fermented product and its corresponding fermentation environment parameters, the fermentation environment category and the comprehensive category parameters at the same time are numbered as the data at the same time, and the number is set to i, i represents the storage number, i∈N + .

[0148] Specifically, the difference analysis module in this embodiment analyzes the temperature anomaly number, the pH anomaly number, the dissolved oxygen anomaly number and the comprehensive anomaly number according to the stored comprehensive category parameters, wherein:

[0149] When B(i)=b1, the difference analysis module extracts the storage number corresponding to the comprehensive category parameter currently analyzed as the temperature anomaly number;

[0150] When B(i)=b2, the difference analysis module extracts the storage number corresponding to the current analysis comprehensive category parameter as the pH abnormality number;

[0151] When B(i)=b3, the difference analysis module extracts the storage number corresponding to the current analysis comprehensive category parameter as the dissolved oxygen anomaly number;

[0152] When B(i)=b1×b2×b3, the difference analysis module extracts the storage number corresponding to the current analysis comprehensive category parameter as the comprehensive abnormality number;

[0153] Wherein, B(i) represents the stored comprehensive category parameters.

[0154] Specifically, the difference analysis module in this embodiment calculates the category difference parameters according to the stored fermentation environment parameters, temperature anomaly number, pH anomaly number, dissolved oxygen anomaly number and comprehensive anomaly number through a difference analysis formula. The difference analysis module is provided with a difference analysis formula as follows:

[0155]

[0156] F(k) represents the category difference parameter, k represents the category anomaly number, k = {1, 2, 3, 4}, F(1) represents the temperature difference parameter, F(2) represents the pH difference parameter, F(3) represents the dissolved oxygen difference parameter, and F(4) represents the comprehensive difference parameter. J(k) represents the anomaly number set, J(1) represents the temperature anomaly number set, J(2) represents the pH anomaly number set, J(3) represents the dissolved oxygen anomaly number set, and J(4) represents the comprehensive anomaly number set. N(k) represents the number of category anomaly numbers, N(1) represents the temperature anomaly number set, N(2) represents the pH anomaly number set, N(3) represents the dissolved oxygen anomaly number set, and N(4) represents the comprehensive anomaly number set.

[0157] Specifically, the fluctuation analysis unit in this embodiment calculates the fermentation environment fluctuation parameters and the breeding environment fluctuation parameters according to the stored fermentation environment parameters and the breeding area temperature through the environmental fluctuation analysis formula. The fluctuation analysis unit is provided with the environmental fluctuation analysis formula as follows:

[0158]

[0159]

[0160] Among them, S1 represents the fermentation environment fluctuation parameter, S2 represents the breeding environment fluctuation parameter, A(i) represents the stored fermentation environment parameter, i max It indicates the maximum value of the storage cycle number, and T2(i) indicates the stored temperature of the breeding area.

[0161] Specifically, in this embodiment, the stored data is analyzed by the fluctuation analysis unit to analyze the fermentation environment fluctuations and the breeding environment fluctuations. The fermentation environment fluctuation parameters are used to represent the fluctuations of the environmental characteristics of the fermentation area, and the breeding environment fluctuation parameters are used to represent the fluctuations of the temperature in the breeding area, thereby improving the system's analysis and monitoring efficiency of microbial degradation fermentation data and improving the accuracy of the analysis.

[0162] Specifically, the balance analysis unit in this embodiment analyzes the fermentation balance parameters according to the stored fermentation environment information.

[0163]

[0164] Among them, G(i) represents the fermentation equilibrium parameter, C1(i) ​​represents the stored carbon dioxide concentration in the fermentation area, C1(i-1) represents the stored carbon dioxide concentration in the fermentation area in the previous cycle of the current analysis period, C2(i) represents the stored carbon dioxide concentration in the breeding area, C2(i-1) represents the stored carbon dioxide concentration in the breeding area in the previous cycle of the current analysis period, C3(i) represents the carbon dioxide concentration in the planting area, and C3(i-1) represents the stored carbon dioxide concentration in the planting area in the previous cycle of the current analysis period.

[0165] Specifically, in this embodiment, the stored fermentation environment information is analyzed by the balance analysis unit to analyze the fermentation balance parameters, and the fermentation balance parameters are used to represent the relationship between the changes in carbon dioxide concentration in the agricultural and animal husbandry breeding areas, thereby improving the system's analysis and monitoring efficiency of microbial degradation fermentation data and improving the accuracy of the analysis.

[0166] Specifically, the correlation analysis unit in this embodiment calculates the aquaculture correlation parameter according to the stored aquaculture area temperature and fermentation product weight through the correlation analysis formula, and the correlation analysis unit is provided with the following correlation analysis formula:

[0167]

[0168] Among them, R represents the breeding related parameter, M(i max ) represents the weight of the fermented product when the storage cycle number is the maximum value of the storage cycle number.

[0169] Specifically, in this embodiment, the association analysis unit analyzes the stored breeding environment information and the weight of the fermented product to analyze the breeding associated parameters, and uses the breeding associated parameters to represent the relationship between recent temperature and fermented product weight changes, thereby improving the system's analysis and monitoring efficiency of microbial degradation and fermentation data and improving the accuracy of the analysis.

[0170] Specifically, the monitoring and analysis unit in this embodiment calculates the degradation fermentation parameters through a monitoring and analysis formula according to the fermentation environment parameters, microbial characteristics and fermentation balance parameters. The monitoring and analysis unit is provided with a monitoring and analysis formula as follows:

[0171] H=A×W / G(i max )

[0172] Among them, H represents the degradation fermentation parameter, G(i max ) represents the fermentation equilibrium parameter of the last storage cycle.

[0173] Specifically, in this embodiment, the monitoring and analysis unit analyzes the fermentation environment parameters, microbial characteristics and fermentation balance parameters to analyze the degradation fermentation parameters, and uses the degradation fermentation parameters to represent the relationship between the environmental changes in the fermentation area and the microbial information, thereby realizing the monitoring of the fermentation area environment and microorganisms, thereby improving the system's analysis and monitoring efficiency of microbial degradation fermentation data and improving the accuracy of the analysis.

[0174] Specifically, the monitoring and adjustment unit in this embodiment adjusts the analysis process of the degradation and fermentation parameters according to the comprehensive category parameters and the category difference parameters, wherein:

[0175] When B=1, the monitoring and adjustment unit does not adjust the analysis process of the degradation and fermentation parameters;

[0176] When B=b1, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 is set to be H×F(1)×[F(2)+F(3)] / [2×F(4)];

[0177] When B=b2, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 is set to be H×F(2)×[F(1)+F(3)] / [2×F(4)];

[0178] When B=b3, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 is set to be H×F(3)×[F(1)+F(2)] / [2×F(4)];

[0179] When B=b1×b2, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 is set to be H×F(1)×F(2) / F(4) 2 ;

[0180] When B=b1×b3, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 is set to be H×F(1)×F(3) / F(4) 2 ;

[0181] When B=b2×b3, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 is set to be H×F(2)×F(3) / F(4) 2 ;

[0182] When B = b1 × b2 × b3, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 is set to be H × F (1) × F (2) × F (3) / F (4) 3 .

[0183] Specifically, in this embodiment, the monitoring and adjustment unit analyzes the comprehensive category parameters and the category difference parameters to adjust the analysis process of the degradation and fermentation parameters, so that the adjusted degradation and fermentation parameters are related to whether there are abnormalities in the current environmental information and the difference changes of different types of data in the historical data, thereby improving the system's analysis and monitoring efficiency of microbial degradation and fermentation data and improving the accuracy of the analysis.

[0184] Specifically, the monitoring and optimization unit in this embodiment optimizes the adjustment process of the degradation fermentation parameters according to the environmental information, the fermentation environment fluctuation parameters, the breeding environment fluctuation parameters and the breeding related parameters, wherein:

[0185] When S1 / A>α, the monitoring optimization unit determines that the environmental fluctuation is abnormal, optimizes the adjustment process of the degradation and fermentation parameters, and the optimized degradation and fermentation parameters are H2, and H2=H1×e S1 ×M(i max )×R / S2;

[0186] When S1 / A≤α, the monitoring and optimization unit determines that the environmental fluctuation is normal and does not optimize the adjustment process of the degradation fermentation parameters;

[0187] Wherein, α represents the comparison threshold, 0.1≤α≤0.3. It is understandable that the comparison threshold is not specifically limited in this embodiment, and can be freely set by those skilled in the art, as long as the optimization of the degradation fermentation parameters is satisfied. The optimal value of the comparison threshold is: α=0.2.

[0188] Specifically, in this embodiment, the monitoring and optimization unit analyzes the fermentation environment fluctuation parameters, the breeding environment fluctuation parameters and the breeding related parameters to optimize the adjustment process of the degradation fermentation parameters, so that the optimized degradation fermentation parameters are related to the fluctuation of the fermentation area environmental characteristic data and the fluctuation of the breeding area environmental information, thereby improving the system's analysis and monitoring efficiency of microbial degradation fermentation data and improving the accuracy of the analysis.

[0189] Specifically, the abnormal output module in this embodiment compares the degradation fermentation parameter with the degradation fermentation threshold, and analyzes the degradation fermentation state according to the comparison result, wherein:

[0190] When H>h, the abnormal output module determines that the degradation and fermentation state is normal;

[0191] When H≤h, the abnormal output module determines that the degradation and fermentation state is abnormal;

[0192] Wherein, h represents the degradation fermentation threshold, 1≤h≤1.5. It is understandable that the value of the degradation fermentation threshold is not specifically limited in this embodiment, and can be freely set by those skilled in the art, as long as the analysis of the degradation fermentation state is satisfied. The optimal value of the degradation fermentation threshold is: h=1.3.

[0193] See also Figure 5 As shown, it is the agricultural and animal husbandry breeding system of this embodiment, including:

[0194] A roof 7 is a hemispherical structure. A planting area 4 is provided below the roof 7. The planting area 4 is used to plant crops. A breeding area 5 is provided below the planting area 4. The breeding area 5 is used to breed poultry and livestock such as pigs, chickens, and ducks. A fermentation area 6 is provided below the breeding area 5. The fermentation area 6 is used to degrade and ferment the excrement of poultry or livestock.

[0195] A skylight 1 is provided at the central position of the roof 7, and the skylight 1 is used for heat dissipation and ventilation. A support frame 2 is provided under the skylight 1, and the support frame 2 is made of metal and is used to support the skylight 1. The support frame 2 is located in the central position of the planting area 4 and is arranged above the ground of the planting area 4. A staircase 3 is arranged around the outer side of the bottom of the support frame 2. The staircase 3 is a spiral staircase walkway, which is used to pass between the planting area 4 and the breeding area 5, and is also used to transport the carbon dioxide generated in the breeding area 5 to the planting area 4. The staircase 3 is arranged below the ground of the planting area 4 and above the ground of the breeding area 5.

[0196] Specifically, the agricultural and animal husbandry breeding system in this embodiment is a hemispherical greenhouse with a multi-layer structure. The planting area 4 is located on the second layer of the agricultural and animal husbandry breeding system, and the breeding area 5 is located on the first layer of the agricultural and animal husbandry breeding system. The roof 7 can be separated from the center of the roof to both ends to further improve the lighting, heat dissipation, and ventilation effects. It can be understood that the structure of the roof is not specifically limited in this embodiment, and technical personnel in this field can freely set it, such as it can also be set to a sunshade control structure and a skylight control structure, as long as the lighting, heat dissipation, and ventilation of the agricultural and animal husbandry breeding system are controlled.

[0197] Specifically, in each area of ​​the agricultural and animal husbandry breeding system described in this embodiment, a variety of sensors are provided, such as temperature sensors, humidity sensors, and pressure sensors, etc., for obtaining real-time environmental information in the planting area, breeding area, and fermentation area, and transmitting the environmental information to the data cloud, and monitoring the microbial degradation and fermentation status through the microbial degradation and fermentation monitoring system.

[0198] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A monitoring system for microbial degradation and fermentation, characterized in that: include: An information acquisition module is used to obtain environmental information and fermentation weight in the agricultural and animal husbandry breeding area in real time, and is also used to periodically obtain microbial information in the biodegradation fermentation area according to a preset analysis cycle; A fermentation analysis module is used to analyze fermentation environment parameters, fermentation environment categories and comprehensive category parameters based on environmental information and microbial information; An image analysis module for analyzing microbial characteristics based on microbial information; An information storage module is used to store the acquired and analyzed information and parameters as storage data; A difference analysis module for analyzing category difference parameters based on stored data; A historical analysis module is used to analyze environmental fluctuation parameters, fermentation balance parameters and aquaculture-related parameters based on stored data; A monitoring and analysis module is used to analyze degradation fermentation parameters according to fermentation product weight, fermentation environment parameters, comprehensive category parameters, microbial characteristics, category difference parameters, environmental fluctuation parameters, fermentation balance parameters and breeding related parameters; An abnormal output module is used to analyze the degradation and fermentation state according to the degradation and fermentation parameters and output the degradation and fermentation state; The fermentation analysis module is provided with an environment analysis unit, which is used to calculate the fermentation environment parameters according to the fermentation environment information and the fermentation weight through the fermentation analysis formula. The environment analysis unit is provided with the fermentation analysis formula as follows: ， Wherein, T1 represents the temperature of the fermentation zone, pH represents the pH value of the fermentation zone, D represents the dissolved oxygen concentration in the fermentation zone, t1 represents the first temperature threshold, and t2 represents the second temperature threshold; The fermentation analysis module is provided with a fermentation classification unit and a category analysis unit, wherein the fermentation classification unit analyzes the fermentation environment category of the fermentation environment parameter according to the fermentation environment information and the microorganism type, wherein: When T1<t1 or T1>t2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is temperature abnormality data; When t1≤T1≤t2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is normal temperature data; When pH < p1 or pH > p2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is abnormal pH data; When p1≤pH≤p2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is normal pH data; When the microorganism type is anaerobic and D>d1, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is abnormal dissolved oxygen data; When the microorganism type is anaerobic and D≤d1, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is normal dissolved oxygen data; When the microorganism type is facultative aerobic and D<d2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is abnormal dissolved oxygen data; When the microorganism type is facultative aerobic and D≥d2, the fermentation classification unit determines that the fermentation environment category of the fermentation environment parameter is normal dissolved oxygen data; Wherein, t1 represents the first temperature threshold, t2 represents the second temperature threshold, p1 represents the first pH threshold, p2 represents the second pH threshold, d1 represents the first dissolved oxygen threshold, and d2 represents the second dissolved oxygen threshold; The category analysis unit calculates the comprehensive category parameter according to the temperature category parameter, the pH category parameter and the dissolved oxygen category parameter, and sets: B=a1×a2×a3, wherein B represents the comprehensive category parameter, a1 represents the temperature category parameter, a2 represents the pH category parameter, and a3 represents the dissolved oxygen category parameter.

2. The monitoring system for microbial degradation and fermentation according to claim 1, characterized in that: The image analysis module extracts the stained pixels according to the grayscale fluctuation parameters after staining and the stained image, wherein: When L(x2, y2)<Q2+Q3, the image analysis module extracts the current analysis pixel as the dyed pixel; When L(x2,y2)≥Q2+Q3, the image analysis module does not extract the current analysis pixel point; Among them, L(x2,y2) represents the gray value of each pixel in the stained image, (x2,y2) represents the coordinates of each pixel in the stained image, Q2 represents the gray mean after staining, and Q3 represents the gray fluctuation parameter after staining; The image analysis module analyzes the microbial characteristics according to the grayscale mean before staining, the grayscale mean after staining and the stained pixels through the image feature analysis formula. The image analysis module is provided with the following image feature analysis formula: ， Where W represents the microbial feature, Q1 represents the grayscale mean before staining, Q4 represents the grayscale mean of the stained pixels, N3 represents the number of stained pixels, L(x3,y3) represents the grayscale value of the stained pixels, (x3,y3) represents the coordinates of the stained pixels, X represents the number of pixels in the x-axis direction of the microbial image, and Y represents the number of pixels in the y-axis direction of the microbial image.

3. The monitoring system for microbial degradation and fermentation according to claim 2, characterized in that: The difference analysis module calculates the category difference parameters according to the stored fermentation environment parameters, temperature anomaly number, pH anomaly number, dissolved oxygen anomaly number and comprehensive anomaly number through a difference analysis formula. The difference analysis module is provided with a difference analysis formula as follows: ， Where A(i) represents the stored fermentation environment parameter, F(k) represents the category difference parameter, k represents the category anomaly number, k={1,2,3,4}, F(1) represents the temperature difference parameter, F(2) represents the pH difference parameter, F(3) represents the dissolved oxygen difference parameter, and F(4) represents the comprehensive difference parameter. J(k) represents the anomaly number set, J(1) represents the temperature anomaly number set, J(2) represents the pH anomaly number set, J(3) represents the dissolved oxygen anomaly number set, and J(4) represents the comprehensive anomaly number set. N(k) represents the number of category anomaly numbers, N(1) represents the temperature anomaly number set, N(2) represents the pH anomaly number set, N(3) represents the dissolved oxygen anomaly number set, and N(4) represents the comprehensive anomaly number set.

4. The monitoring system for microbial degradation and fermentation according to claim 3, characterized in that: The historical analysis module is provided with a fluctuation analysis unit, a balance analysis unit and a correlation analysis unit, wherein: The fluctuation analysis unit calculates the fermentation environment fluctuation parameters and the aquaculture environment fluctuation parameters according to the stored fermentation environment parameters and the aquaculture area temperature through the environmental fluctuation analysis formula. The fluctuation analysis unit is provided with the environmental fluctuation analysis formula as follows: ， Among them, S1 represents the fermentation environment fluctuation parameter, S2 represents the breeding environment fluctuation parameter, i max represents the maximum value of the storage cycle number, T2(i) represents the stored temperature of the breeding area; The balance analysis unit analyzes the fermentation balance parameters according to the stored fermentation environment information. ， Wherein, G(i) represents the fermentation equilibrium parameter, C1(i) ​​represents the stored carbon dioxide concentration in the fermentation area, C1(i-1) represents the stored carbon dioxide concentration in the fermentation area in the previous cycle of the current analysis period, C2(i) represents the stored carbon dioxide concentration in the breeding area, C2(i-1) represents the stored carbon dioxide concentration in the breeding area in the previous cycle of the current analysis period, C3(i) represents the carbon dioxide concentration in the planting area, and C3(i-1) represents the stored carbon dioxide concentration in the planting area in the previous cycle of the current analysis period; The correlation analysis unit calculates the aquaculture correlation parameters according to the stored aquaculture area temperature and fermentation product weight through a correlation analysis formula. The correlation analysis unit is provided with a correlation analysis formula as follows: ， Among them, R represents the breeding related parameter, M(i max ) represents the weight of the fermented product when the storage cycle number is the maximum value of the storage cycle number.

5. The monitoring system for microbial degradation and fermentation according to claim 4, characterized in that: The monitoring and analysis module is provided with a monitoring and analysis unit, which is used to calculate the degradation fermentation parameters through a monitoring and analysis formula according to the fermentation environment parameters, microbial characteristics and fermentation balance parameters. The monitoring and analysis unit is provided with a monitoring and analysis formula as follows: H=A×W / G(i max ) Among them, H represents the degradation fermentation parameter, G(i max ) represents the fermentation equilibrium parameter of the last storage cycle.

6. The monitoring system for microbial degradation and fermentation according to claim 5, characterized in that: The monitoring and analysis module is provided with a monitoring adjustment unit and a monitoring optimization unit, wherein: The monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters according to the comprehensive category parameters and the category difference parameters, wherein: When B=1, the monitoring and adjustment unit does not adjust the analysis process of the degradation and fermentation parameters; When B=b1, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1=H×F(1)×[F(2)+F(3)] / [2×F(4)]; When B = b2, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 = H × F (2) × [F (1) + F (3)] / [2 × F (4)]; When B = b3, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 = H × F (3) × [F (1) + F (2)] / [2 × F (4)]; When B=b1×b2, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters. The adjusted degradation and fermentation parameter is H1, and H1=H×F(1)×F(2) / F(4) is set. 2 ; When B=b1×b3, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters. The adjusted degradation and fermentation parameter is H1, and H1=H×F(1)×F(3) / F(4) is set. 2 ; When B=b2×b3, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 is set to H×F(2)×F(3) / F(4) 2 ; When B=b1×b2×b3, the monitoring and adjustment unit adjusts the analysis process of the degradation and fermentation parameters, and the adjusted degradation and fermentation parameters are H1, and H1 is set to H×F(1)×F(2)×F(3) / F(4) 3 ; The monitoring and optimization unit optimizes the adjustment process of the degradation fermentation parameters according to the environmental information, the fermentation environment fluctuation parameters, the breeding environment fluctuation parameters and the breeding related parameters, wherein: When S1 / A>α, the monitoring optimization unit determines that the environmental fluctuation is abnormal, optimizes the adjustment process of the degradation and fermentation parameters, and the optimized degradation and fermentation parameters are H2, and H2=H1×e S1 ×M(i max )×R / S2; When S1 / A≤α, the monitoring and optimization unit determines that the environmental fluctuation is normal and does not optimize the adjustment process of the degradation fermentation parameters; Here, α represents the comparison threshold.

7. The monitoring system for microbial degradation and fermentation according to claim 6, characterized in that: The abnormal output module compares the degradation fermentation parameter with the degradation fermentation threshold, and analyzes the degradation fermentation state according to the comparison result, wherein: When H>h, the abnormal output module determines that the degradation and fermentation state is normal; When H≤h, the abnormal output module determines that the degradation and fermentation state is abnormal; Wherein, h represents the degradation fermentation threshold.

8. An agricultural and animal husbandry breeding system, applied to the monitoring system for microbial degradation and fermentation as claimed in any one of claims 1 to 7, characterized in that: include: The roof is a hemispherical structure, and a planting area is arranged below the roof for planting crops, and a breeding area is arranged below the planting area for breeding pigs, chickens, ducks and other poultry and livestock, and a fermentation area is arranged below the breeding area for degrading and fermenting the excrement of poultry or livestock; A skylight is provided in the center of the roof for heat dissipation and ventilation. A support frame is provided below the skylight. The support frame is made of metal and is used to support the skylight. The support frame is located in the center of the planting area and is arranged above the ground of the planting area. A staircase is arranged around the outside of the bottom of the support frame. The staircase is a spiral staircase for passing between the planting area and the breeding area, and is also used to transport carbon dioxide generated in the breeding area to the planting area. The staircase is arranged below the ground of the planting area and above the ground of the breeding area.

Images