Intelligent management system and method for sheep flock pasture

Abstract

The invention relates to the technical field of pasture data management, and particularly discloses an intelligent management system and method for a sheep flock pasture, the system is provided with three core modules of data acquisition, grade matching and hierarchical regulation, and the data acquisition module monitors environmental parameters in real time and intelligently judges equipment initialization requirements; the grade matching module deeply analyzes pasture data and accurately matches the current pollution grade; the grading regulation and control module automatically triggers corresponding management strategies according to pollution grades, dynamic and accurate management and control of the pasture environment are achieved, the system drives decisions through data, the pasture management efficiency is effectively improved, the environmental pollution risk is reduced, and intelligent guarantee is provided for healthy growth of sheep flock.

Description

Technical Field

[0001] The present invention relates to the technical field of pasture data management, and in particular to an intelligent management system and method for a sheep pasture. Background Art

[0002] With the development of social economy, the traditional sheep farm breeding model faces problems such as cumbersome manual management, opaque information, and difficult to effectively control the breeding environment. It is difficult to meet the requirements of modern breeding industry for efficiency, quality and sustainable development. Against this background, intelligent breeding technology has emerged and has become an important means to improve breeding efficiency, improve breeding environment and ensure breeding quality. The integrated application of technologies such as the Internet of Things, big data, and artificial intelligence has provided technical support for the intelligent management of sheep ranches. By installing sensors in the sheep houses, environmental parameters such as temperature, humidity, and gas concentration can be monitored in real time, and data analysis can be used to optimize the breeding environment. The application of these technologies has promoted the development of sheep ranches towards informatization, intelligence, and greening.

[0003] For example, the invention patent with publication number CN118940917A discloses a three-dimensional prediction method for marine ranch environment based on a three-dimensional environmental field, including: Step 1: Constructing a basic model of the ranch sea area; Step 2: Selecting the code modules required for running the ranch sea area, setting variables to point to the location of the compiler, preprocessor, and message passing structure library, and compiling to generate an executable fvcom; Step 3: Performing numerical calculations of the basic model; Step 4: Establishing a multi-layer nested three-dimensional ocean high-resolution dynamic model based on fvcom in the ranch sea area to predict changes in temperature and salinity flow in the ranch sea area.

[0004] For example, the invention patent with announcement number CN118036883B announces an intelligent pasture ecological monitoring and early warning platform and method. The platform includes an ecological interaction analysis module, a microenvironment optimization module, a disease early warning module, a behavior and health monitoring module, an ecological stability analysis module, a management strategy optimization module, and an ecological dependence analysis module.

[0005] However, in the process of implementing the embodiments of the present application, the present application found that the above technology has at least the following technical problems: the existing technology ignores the long-term impact of the environment on the acquisition equipment in the actual environment, which can easily lead to sensor measurement deviation, and the interference generated when the equipment is running affects the stability of data transmission. In addition, in terms of control strategy, the existing system mostly adopts fixed threshold control, which is difficult to adapt to the dynamically changing environmental requirements during the breeding process. Summary of the Invention

[0006] In view of the deficiencies in the prior art, the present invention provides an intelligent management system and method for a sheep pasture, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: In the first aspect, the present invention provides an intelligent management system for a sheep pasture, including: a data acquisition module, used to monitor and analyze the environmental parameter set of each data acquisition device, and determine whether to initialize each data acquisition device; a level matching module, used to analyze the sheep pasture data collected by each data acquisition device, and match the pollution level of the sheep pasture; a hierarchical control module, used to perform hierarchical control and intelligent management of the sheep pasture according to the pollution level of the sheep pasture.

[0008] As a further solution, it is determined whether to initialize each data acquisition device. The specific determination process is: compare the environmental interference index of the sheep ranch with the environmental interference index threshold. If the environmental interference index of the sheep ranch is less than or equal to the environmental interference index threshold, it is determined that each data acquisition device does not need to be initialized. If the environmental interference index of the sheep ranch is greater than the environmental interference index threshold, it is determined that each data acquisition device needs to be initialized.

[0009] As a further solution, each data acquisition device is initialized, and the specific adjustment process is: the environmental interference index threshold is subjected to difference processing with the environmental interference index of the sheep ranch, and the processing result is subjected to ratio processing with the environmental interference index threshold, and finally the environmental interference assessment deviation value of the sheep ranch is obtained, and compared with the environmental interference assessment deviation threshold. If the environmental interference assessment deviation value of the sheep ranch is greater than the environmental interference assessment deviation threshold, the first filtering dimension is selected to initialize each data acquisition device; if the environmental interference assessment deviation value of the sheep ranch is less than or equal to the environmental interference assessment deviation threshold, the second filtering dimension is selected to initialize each data acquisition device; the sheep ranch data collected by each initialized data acquisition device is transmitted, and the transmission quality assessment coefficient of each data acquisition device is analyzed at the same time, and it is determined whether the data transmission process of each data acquisition device is adjusted.

[0010] As a further solution, it is determined whether to adjust the data transmission process of each data acquisition device. The specific determination process is: compare the transmission quality assessment coefficient of each data acquisition device with the transmission quality assessment coefficient reference interval; if the transmission quality assessment coefficient of a data acquisition device is greater than the maximum value of the transmission quality assessment coefficient reference interval, it is determined that the data transmission process of the data acquisition device will not be adjusted; if the transmission quality assessment coefficient of a data acquisition device is less than or belongs to the transmission quality reference interval of the data acquisition device, or belongs to the transmission quality reference interval of the data acquisition device, it is determined that the data transmission process of the data acquisition device will be adjusted.

[0011] As a further solution, the data transmission process of the data acquisition device is adjusted, and the specific adjustment process is: if the transmission quality assessment coefficient of the data acquisition device belongs to the transmission quality assessment coefficient reference interval, the maximum value of the transmission quality assessment coefficient interval is subjected to difference processing with the transmission quality assessment coefficient of the data acquisition device, and the processing result is subjected to ratio processing with the maximum value of the transmission quality assessment coefficient interval, and finally the first transmission quality assessment deviation value of the data acquisition device is obtained, and compared with the first transmission quality assessment deviation threshold preset in the management database. If the first transmission quality assessment deviation value is greater than the first transmission quality assessment deviation threshold, the first adjustment scheme is matched to adjust the data transmission process of the acquisition device. If the first transmission quality assessment deviation value is less than or equal to the first transmission quality assessment deviation threshold, the second adjustment scheme is matched. The data transmission process of the acquisition device is adjusted; if the transmission quality assessment coefficient of the data acquisition device is less than the minimum value of the transmission quality assessment coefficient reference interval, the transmission quality assessment coefficient interval minimum value and the transmission quality assessment coefficient of the data acquisition device are subjected to difference processing, and the processing result is subjected to ratio processing with the transmission quality assessment coefficient interval minimum value, and finally a second transmission quality assessment deviation value of the data acquisition device is obtained, and compared with the second transmission quality assessment deviation threshold value preset in the management database; if the second transmission quality assessment deviation value is greater than the second transmission quality assessment deviation threshold value, a third adjustment scheme is matched to adjust the data transmission process of the acquisition device; if the second transmission quality assessment deviation value is less than or equal to the second transmission quality assessment deviation threshold value, a fourth adjustment scheme is matched to adjust the data transmission process of the acquisition device.

[0012] As a further solution, the sheep ranch is intelligently managed with graded regulation. The specific analysis process is: the pollution level of the sheep ranch is matched according to the pollution index of the ranch environment; when the sheep ranch level belongs to the first-level interval, the first-level regulation measures are matched, and the sheep ranch is intelligently managed with graded regulation; when the sheep ranch level belongs to the second-level interval, the second-level regulation measures are matched, and the sheep ranch is intelligently managed with graded regulation; when the sheep ranch level belongs to the third-level interval, the third-level regulation measures are matched, and the sheep ranch is intelligently managed with graded regulation.

[0013] The second aspect of the present invention provides an intelligent management method for sheep pastures, including: step 1, monitoring and analyzing the environmental parameter sets of each data acquisition device to determine whether to initialize each data acquisition device; step 2, analyzing the sheep pasture data collected by each data acquisition device to match the pollution level of the sheep pasture; step 3, performing hierarchical regulation and intelligent management of the sheep pasture according to the pollution level of the sheep pasture.

[0014] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides an intelligent management system and method for sheep pastures. The system monitors the environmental parameters of indoor sheep pastures in real time through a data acquisition module and intelligently determines the initialization requirements of equipment, thereby significantly improving the accuracy and reliability of sheep pasture management. Its dynamic calibration mechanism can ensure data accuracy and avoid monitoring errors caused by environmental fluctuations. Its automated decision-making reduces the frequency of manual inspections, reduces labor costs, and reduces maintenance costs.

[0015] (2) The grade matching module quantitatively analyzes environmental data and transforms complex pollution parameters into an intuitive grade system, significantly improving the environmental management and control capabilities of sheep pastures. It supports a graded response mechanism, automatically triggers cleaning equipment for different pollution levels, and assists managers in accurately allocating resources. Long-term data tracking can identify the temporal and spatial distribution of pollution sources, optimize pasture ecological design, and effectively balance breeding benefits and ecological protection.

[0016] (3) Through the hierarchical control module, the corresponding level triggers the differentiated management and control strategy, realizing the dynamic and precise management of the sheep ranch. A three-level response mechanism is established, and the corresponding measures are automatically activated when the pollution exceeds the standard, thereby improving the processing efficiency and enhancing the sustainability and economy of the sheep ranch operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention is further described with reference to the accompanying drawings. However, the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of system module connections of the present invention.

[0019] Figure 2 Schematic diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0021] Reference Figure 1 As shown, the first aspect of the present invention provides an intelligent management system for a sheep pasture, comprising: a data acquisition module, a level matching module, a hierarchical control module and a management database.

[0022] The data acquisition module is connected to the grade matching module, the grade matching module is connected to the hierarchical control module, and the data acquisition module, the grade matching module and the hierarchical control module are commonly connected to the management database.

[0023] The data acquisition module is used to monitor and analyze the environmental parameter set of each data acquisition device and determine whether to initialize each data acquisition device.

[0024] Specifically, the environmental parameter set of each data acquisition device is monitored and analyzed. The specific analysis process is: monitoring and analyzing the environmental parameter set of each data acquisition device includes the air pressure of the sheep pasture, the corrosive gas concentration of the sheep pasture, and the particulate matter concentration of the sheep pasture.

[0025] It needs to be explained that the air pressure of the above-mentioned sheep ranch is directly measured by the air pressure sensor deployed in the sheep ranch, the corrosive gas concentration of the above-mentioned sheep ranch is directly measured by the gas sensor deployed in the sheep ranch, and the particulate matter concentration of the above-mentioned sheep ranch is directly measured by the particulate matter sensor deployed in the sheep ranch. The corrosive gas concentration of the above-mentioned sheep ranch specifically includes ammonia concentration and hydrogen sulfide concentration, among which the ammonia concentration is obtained through the ammonia sensor, and the hydrogen sulfide concentration is obtained through the hydrogen sulfide sensor. The particulate matter concentration of the above-mentioned sheep ranch refers to particulate matter with a diameter of less than 10 microns (PM10).

[0026] By introducing the influence coefficients, we can quantify the influence of the air pressure interference factor of the sheep pasture on the environmental interference index of the sheep pasture, the influence of the corrosive gas concentration factor of the sheep pasture on the environmental interference index of the sheep pasture, and the influence of the particulate matter concentration factor of the sheep pasture on the environmental interference index of the sheep pasture. By coupling each influence degree, we can obtain the environmental interference index of the sheep pasture. Among them, the environmental interference index of the sheep pasture indicates the severity of the interference to the pasture environment. The specific evaluation method is: ; ; ; ; Where, is the environmental disturbance index of the sheep pasture, is the air pressure disturbance factor of the sheep pasture, It is the weight coefficient corresponding to the air pressure interference factor preset in the management database. is the air pressure value of the sheep pasture, To manage the preset air pressure reference values ​​in the database, is the influencing factor of the corrosive gas concentration in the sheep pasture, is the weight coefficient corresponding to the corrosive gas concentration influencing factor preset in the management database, FS is the corrosive gas concentration in the sheep pasture, To manage the defined corrosive gas concentrations preset in the database, is the factor affecting the concentration of particulate matter in the sheep pasture, is the weight coefficient corresponding to the particle concentration influencing factor preset in the management database, KL is the particle concentration of the sheep pasture, It is a defined particulate matter concentration preset in the management database.

[0027] The above-mentioned air pressure reference value refers to the reference value of air pressure in the management database; the above-mentioned defined corrosive gas concentration refers to the maximum corrosive gas concentration allowed in the management database; the above-mentioned defined particulate matter concentration refers to the maximum particulate matter concentration allowed in the management database.

[0028] The weight coefficient corresponding to the above-mentioned air pressure interference factor indicates the degree of influence of the unit value of the air pressure interference factor on the environmental interference index of the sheep pasture; the weight coefficient corresponding to the above-mentioned corrosive gas concentration influence factor indicates the degree of influence of the unit value of the corrosive gas concentration influence factor on the environmental interference index of the sheep pasture; the weight coefficient corresponding to the above-mentioned particulate matter concentration influence factor indicates the degree of influence of the unit value of the particulate matter concentration influence factor on the environmental interference index of the flock pasture. The management database stores the correspondence between the air pressure interference factor, the corrosive gas concentration influence factor, and the particulate matter concentration influence factor and their corresponding weight coefficients. For example, when the air pressure interference factor, the corrosive gas concentration influence factor, and the particulate matter concentration influence factor are input into the management database, the management database can match the air pressure interference factor weight coefficient, the corrosive gas concentration influence factor weight coefficient, and the particulate matter concentration influence factor weight coefficient, and the value range is between 0 and 1.

[0029] Air pressure fluctuations affect the distribution of pollutants through aerodynamic mechanisms. Low-pressure environments enhance gas diffusion capabilities, making it easier for corrosive gases to break through equipment seals and exacerbating dust generation. Dust particles can serve as adsorption carriers for corrosive gases, forming complex pollutants that exacerbate equipment losses. Changes in their concentration affect the local microclimate by changing the surface reflectivity, indirectly regulating the gas diffusion rate. The three interact through the gas-solid two-phase medium to form a dynamic pollution chain.

[0030] Air pressure affects the ventilation conditions of the pasture, which in turn affects the diffusion of corrosive gases and dust. Low air pressure can cause gases and dust to remain in the pasture, increasing the environmental interference index of the sheep pasture; high concentrations of corrosive gases can have a negative impact on the environment and organisms, thereby increasing the environmental interference index of the sheep pasture; dust comes from feed, soil or feces, and irritates the respiratory system and eyes of livestock. High concentrations of dust can have a negative impact on the health and comfort of livestock, thereby increasing the environmental interference index of the sheep pasture.

[0031] Furthermore, the above determination of whether to initialize each data acquisition device is specifically carried out as follows: comparing the environmental interference index of the sheep ranch with the environmental interference index threshold; if the environmental interference index of the sheep ranch is less than or equal to the environmental interference index threshold, then it is determined that each data acquisition device is not initialized; if the environmental interference index of the sheep ranch is greater than the environmental interference index threshold, then it is determined that each data acquisition device is initialized.

[0032] It should be explained that the above-mentioned environmental disturbance index threshold value represents the maximum value of the environmental disturbance index allowed by the sheep pasture extracted from the management database.

[0033] Furthermore, the above-mentioned initialization of each data acquisition device is carried out, and the specific adjustment process is: performing difference processing on the environmental interference index threshold and the environmental interference index of the sheep ranch, performing ratio processing on the processing result and the environmental interference index threshold, and finally obtaining the environmental interference index deviation value of the sheep ranch, and comparing it with the environmental interference index deviation threshold. If the environmental interference index deviation value of the sheep ranch is greater than the environmental interference index deviation threshold, then the first filtering dimension is selected to initialize each data acquisition device; if the environmental interference index deviation value of the sheep ranch is less than or equal to the environmental interference index deviation threshold, then the second filtering dimension is selected to initialize each data acquisition device.

[0034] It should be explained that the above-mentioned environmental interference index deviation threshold represents the maximum value of the environmental interference index deviation allowed by the sheep pasture extracted from the management database; the above-mentioned environmental interference index estimated deviation value is used to measure the degree of deviation of the pasture environmental interference index relative to the environmental interference index threshold. When the environmental interference index deviation value of the sheep pasture is greater than the environmental interference index deviation threshold, it indicates that there is significant interference in the pasture environment. In an example embodiment, the first filtering dimension specifically refers to increasing the sliding window length, improving data smoothness, giving priority to ensuring data stability, and sacrificing some real-time performance; when the environmental interference index deviation value of the sheep pasture is less than or equal to the environmental interference index deviation threshold, it indicates that the environment is in a relatively stable state. In an example embodiment, the second filtering dimension specifically refers to shortening the sliding window length. The sliding window is used to improve the response speed and emphasize the data fidelity. The above-mentioned sliding window refers to a specific time interval set when processing the data related to the environmental interference of the sheep pasture, and the data is processed within this time interval. The specific process of increasing the sliding window length is as follows: the management database stores the first filter and its corresponding increase coefficient, and the second filter and its corresponding shortening coefficient. The deviation value of the environmental interference index of the sheep pasture is input into the management database. The management database can match the corresponding filter. The increase coefficient (greater than 1) or shortening coefficient (less than 1) corresponding to the filter is the increase coefficient or shortening coefficient corresponding to the sliding window. The matched increase coefficient or shortening coefficient is multiplied by the original sliding window, and the result is the sliding window length that needs to be adjusted.

[0035] The sheep pasture data collected by each initialized data acquisition device is transmitted, and the transmission quality evaluation coefficient of each data acquisition device is analyzed to determine whether the data transmission process of each data acquisition device is adjusted.

[0036] In a specific embodiment, the system uses a data acquisition module to monitor the environmental parameters of indoor sheep pastures in real time and intelligently determine the need for equipment initialization, significantly improving the accuracy and reliability of sheep pasture management; its dynamic calibration mechanism can ensure data accuracy and avoid monitoring errors caused by environmental fluctuations; its automated decision-making reduces the frequency of manual inspections and lowers labor costs, and equipment self-diagnosis extends sensor life and reduces maintenance costs.

[0037] The level matching module is used to analyze the sheep pasture data collected by each data collection device and match the pollution level of the sheep pasture.

[0038] Specifically, the transmission quality of each data acquisition device is analyzed, and the specific analysis process is: obtaining the radio frequency interference factor of each data acquisition device, the vibration factor of each data acquisition device, and the efficiency factor of each data acquisition device.

[0039] It should be explained that the above-mentioned radio frequency interference factor is used to quantify the impact of radio frequency interference on data transmission quality, and is obtained by the ratio of radio frequency interference intensity to the defined radio frequency interference intensity, wherein the radio frequency interference intensity is obtained by a spectrum analyzer; the above-mentioned vibration factor is used to quantify the impact of equipment vibration on data transmission quality, and is obtained by the ratio of vibration frequency to the defined vibration frequency, wherein the vibration frequency is obtained by an acceleration sensor; the above-mentioned efficiency factor is used to quantify the efficiency of data transmission, and is obtained by the ratio of transmission efficiency to the defined transmission efficiency, wherein the transmission efficiency is obtained by the ratio of effective data to total transmitted data. By introducing the influence coefficient, we can quantify the influence of the radio frequency interference factor of each data acquisition device on the transmission quality evaluation coefficient of each data acquisition device, the influence of the vibration factor of each data acquisition device on the transmission quality evaluation coefficient of each data acquisition device, the influence of the efficiency factor of each data acquisition device on the transmission quality evaluation coefficient of each data acquisition device, and the influence of the environmental interference index of the sheep pasture on the transmission quality evaluation coefficient of each data acquisition device. Then, we couple the influence degrees to obtain the transmission quality evaluation coefficient of each data acquisition device. The transmission quality evaluation coefficient of each data acquisition device represents the comprehensive transmission performance of the data acquisition device under the environmental conditions of the sheep pasture. The specific evaluation method is as follows: ; ; ; ; In the formula is the transmission quality evaluation coefficient of the hth data acquisition device, is the environmental disturbance index of the sheep pasture, is the radio frequency interference factor of the hth data acquisition device, To manage the weight coefficients corresponding to the radio frequency interference factors preset in the database, is the radio frequency interference intensity of the hth data acquisition device, To manage the defined radio frequency interference intensity of the hth data acquisition device preset in the database, is the vibration factor of the hth data acquisition device, To manage the weight coefficients corresponding to the vibration factors preset in the database, is the vibration frequency of the hth data acquisition device, The defined vibration frequency of the hth data acquisition device preset in the management database, is the efficiency factor of the data acquisition equipment, is the transmission efficiency of the hth data acquisition device, To manage the transmission efficiency of the hth data acquisition device preset in the database, It is the weight coefficient corresponding to the efficiency factor preset in the management database. The weight coefficient corresponding to the environmental disturbance index of the sheep pasture preset in the management database, , s is the total number of data acquisition devices, 、 is a constant.

[0040] It needs to be explained that the above 、 The two constants make the formula meaningful and ensure numerical stability; the above-mentioned definition of radio frequency interference intensity represents the maximum radio frequency interference intensity allowed in the management database, the above-mentioned definition of vibration frequency represents the maximum vibration frequency allowed in the management database, and the above-mentioned definition of transmission efficiency represents the maximum transmission frequency allowed in the management database.

[0041] The weight coefficient corresponding to the above-mentioned radio frequency interference factor, the degree of influence of the unit value of the radio frequency interference factor on the transmission quality assessment coefficient, the weight coefficient corresponding to the above-mentioned vibration factor, which represents the degree of influence of the unit value of the vibration factor on the transmission quality assessment coefficient, the weight coefficient corresponding to the above-mentioned efficiency factor, which represents the degree of influence of the unit value of the efficiency factor on the transmission quality assessment coefficient, and the weight coefficient corresponding to the above-mentioned environmental interference index, which represents the degree of influence of the unit value of the environmental interference index on the transmission quality assessment coefficient; the management database stores the correspondence between the radio frequency interference factor, vibration factor, efficiency factor and environmental interference index and their corresponding weight coefficients. For example, the radio frequency interference factor, vibration factor, efficiency factor and efficiency factor weight coefficient are input into the management database, and the management database can match the radio frequency interference factor weight coefficient, vibration factor weight coefficient, efficiency factor weight coefficient and environmental interference index weight coefficient, with a value range between 0 and 1.

[0042] Radio frequency interference will interfere with the transmission signal, resulting in an increase in the bit error rate during data transmission, thereby reducing transmission efficiency. It will also interfere with the control system of the equipment, causing changes in the operating status of the equipment, and thus affecting its vibration frequency; mechanical vibration will affect the stability of electronic components in the equipment. When the vibration frequency reaches a certain level, it may cause problems such as loose connection parts and poor line contact, thereby affecting the signal transmission quality and reducing transmission efficiency; when the environmental interference index increases, it often means that the negative impact of factors such as radio frequency interference intensity and vibration frequency on transmission efficiency is also increasing.

[0043] The intensity of radio frequency interference may affect the quality of wireless signals, resulting in data transmission errors or losses. High-intensity radio frequency interference will reduce data transmission efficiency, thereby reducing the transmission quality evaluation coefficient of each data acquisition device; vibration frequency may affect the stability of the acquisition equipment and the accuracy of signal transmission. High-frequency vibration may cause equipment failure or signal interference, thereby reducing the transmission quality evaluation coefficient of each data acquisition device. Data transmission efficiency is an important indicator for measuring data transmission quality. High efficiency means faster and more reliable data transmission. Therefore, high data transmission efficiency will improve the transmission quality evaluation coefficient of each data acquisition device.

[0044] Furthermore, the above determination of whether to adjust the data transmission process of each data acquisition device is specifically carried out by comparing the transmission quality assessment coefficient of each data acquisition device with a transmission quality assessment coefficient reference interval.

[0045] The transmission quality assessment coefficient reference interval represents an interval of the transmission quality assessment coefficient extracted from the management database, and is used for comparison with the transmission quality assessment coefficient to determine whether the data transmission process needs to be adjusted.

[0046] If the transmission quality assessment coefficient of a data acquisition device is greater than the maximum value of the transmission quality assessment coefficient reference interval, it is determined that the data transmission process of the data acquisition device will not be adjusted.

[0047] If the transmission quality evaluation coefficient of a data acquisition device is less than or belongs to the transmission quality reference interval of the data acquisition device, or belongs to the transmission quality reference interval of the data acquisition device, it is determined to adjust the data transmission process of the data acquisition device.

[0048] Furthermore, the above-mentioned adjustment of the data transmission process of the data acquisition device is as follows: if the transmission quality assessment coefficient of the data acquisition device belongs to the transmission quality assessment coefficient reference interval, the maximum value of the transmission quality assessment coefficient interval is subjected to difference processing with the transmission quality assessment coefficient of the data acquisition device, and the processing result is subjected to ratio processing with the maximum value of the transmission quality assessment coefficient interval, and finally the first transmission quality assessment deviation value of the data acquisition device is obtained, and compared with the first transmission quality assessment deviation threshold preset in the management database. If the first transmission quality assessment deviation value is greater than the first transmission quality assessment deviation threshold, the first adjustment scheme is matched to adjust the data transmission process of the acquisition device. If the first transmission quality assessment deviation value is less than or equal to the first transmission quality assessment deviation threshold, the second adjustment scheme is matched to adjust the data transmission process of the acquisition device.

[0049] It should be explained that the above-mentioned first transmission quality assessment deviation threshold represents the maximum value of the first transmission quality assessment deviation value allowed in the management database; when the first transmission quality assessment deviation value is greater than the first transmission quality assessment deviation threshold, it indicates a serious deviation within the interval, and the first adjustment scheme is matched to deal with sudden strong interference or a sudden drop in channel quality. In an example embodiment, the first adjustment scheme specifically refers to: starting adaptive modulation and coding switching, reducing the modulation mode from a high order (such as 256QAM) to a low order (such as QPSK), and adjusting the transmission power to m times the original (for example, m={2,3,4} are all within the range allowed by the equipment performance, and the specific value is determined by relevant technical personnel); the first transmission quality assessment deviation value is less than or equal to the first transmission When the quality assessment deviation threshold is reached, it indicates a slight deviation within the interval, and the second adjustment scheme is matched to optimize spectrum utilization and improve transmission efficiency. In an example embodiment, the second adjustment scheme specifically refers to: keeping the current modulation and coding scheme unchanged, performing dynamic spectrum selection, switching to the backup channel, adjusting the frequency range, and optimizing the data packet fragment size; the above-mentioned adjustment of the frequency range and optimization of the data packet fragment size, the specific process is: storing each backup channel and its corresponding frequency range and data packet fragment size in the management database, inputting the first transmission quality assessment deviation value into the management database, and the management database can match the corresponding backup channel, and the frequency range and data packet fragment size corresponding to the backup channel are the frequency range and data packet fragment size that need to be adjusted.

[0050] If the transmission quality assessment coefficient of the data acquisition device is less than the minimum value of the transmission quality assessment coefficient reference interval, the transmission quality assessment coefficient interval minimum value and the transmission quality assessment coefficient of the data acquisition device are subjected to difference processing, and the processing result is subjected to ratio processing with the minimum value of the transmission quality assessment coefficient interval, and finally the second transmission quality assessment deviation value of the data acquisition device is obtained, and compared with the second transmission quality assessment deviation threshold preset in the management database. If the second transmission quality assessment deviation value is greater than the second transmission quality assessment deviation threshold, the third adjustment scheme is matched to adjust the data transmission process of the acquisition device. If the second transmission quality assessment deviation value is less than or equal to the second transmission quality assessment deviation threshold, the fourth adjustment scheme is matched to adjust the data transmission process of the acquisition device.

[0051] It needs to be explained that the above-mentioned second transmission quality assessment deviation threshold represents the maximum value of the second transmission quality assessment deviation value allowed in the management database; when the second transmission quality assessment deviation value is greater than the second transmission quality assessment deviation threshold, it indicates a serious deviation outside the interval, and the third adjustment scheme is matched, the link keep-alive strategy under extreme channel conditions. In an example embodiment, the third adjustment scheme specifically refers to: triggering link adaptive degradation, switching to narrowband transmission mode, forward error correction enhancement, and increasing the convolution code constraint length; the above-mentioned matching of the third adjustment scheme, the specific matching process is: the increase coefficient corresponding to the third adjustment scheme is stored in the management database, the second transmission quality assessment deviation value is input into the management database, and the third adjustment scheme is matched in the management database. The increase coefficient corresponding to the third adjustment scheme (greater than 1) is the increase coefficient of the convolution code constraint length, and the original convolution code constraint length is multiplied by the constraint coefficient, and the final result is the convolution code constraint length that needs to be adjusted.

[0052] When the second transmission quality assessment deviation value is less than the second transmission quality assessment deviation threshold, it indicates a slight deviation outside the interval, and the fourth adjustment scheme is matched to fine-tune the transmission parameters to balance efficiency and reliability. In an example embodiment, the fourth adjustment scheme specifically refers to: adjusting the transmission time slot allocation to give high-priority data streams a larger proportion; the above-mentioned matching of the fourth adjustment scheme, the specific matching process is: storing the priority data stream proportion corresponding to the fourth adjustment scheme in the management database, inputting the second transmission quality assessment deviation value into the management database, matching the fourth adjustment scheme in the management database, and the priority data stream proportion corresponding to the fourth adjustment scheme is the proportion that needs to be readjusted.

[0053] In a specific embodiment, the level matching module quantitatively analyzes environmental data and transforms complex pollution parameters into an intuitive level system, significantly improving the environmental management and control capabilities of sheep ranches. It supports a graded response mechanism, automatically triggers cleaning equipment for different pollution levels, and assists managers in accurately allocating resources. Long-term data tracking can identify the temporal and spatial distribution of pollution sources, optimize the ecological design of the ranch, and effectively balance breeding benefits and ecological protection.

[0054] The hierarchical control module is used to carry out hierarchical control and intelligent management of sheep pastures according to the pollution level of the sheep pastures.

[0055] The above-mentioned hierarchical regulation and intelligent management refers to a dynamic decision-making system designed specifically for the environmental management needs of large-scale sheep ranches. Its core logic is to achieve differentiated and precise intervention through pollution level assessment.

[0056] Specifically, the above analysis of the sheep pasture data collected by each data acquisition device has the following specific analysis process: the sheep pasture data collected by each data acquisition device includes the ammonia concentration of the sheep pasture, the hydrogen sulfide concentration of the sheep pasture and the environmental interference index of the sheep pasture; it should be explained that the ammonia concentration of the above sheep pasture is an indicator of the ammonia content in the air, which is obtained by an ammonia sensor, the hydrogen sulfide concentration of the above sheep pasture is an indicator of the hydrogen sulfide content in the air, which is obtained by a hydrogen sulfide sensor, and the environmental interference index of the above sheep pasture is an indicator of the severity of the interference to the pasture environment. The environmental interference index of the above sheep pasture is obtained by introducing influence coefficients to quantify the degree of influence of the air pressure interference factor of the sheep pasture on the environmental interference index of the sheep pasture, the degree of influence of the corrosive gas concentration influence factor of the sheep pasture on the environmental interference index of the sheep pasture, and the degree of influence of the particulate matter concentration influence factor of the sheep pasture on the environmental interference index of the sheep pasture, and the degree of influence of each influence degree is coupled.

[0057] The transmission quality evaluation coefficients of each data acquisition device are averaged to obtain the transmission quality evaluation mean of the data acquisition device, and the pollution index correction coefficient is matched from the management database.

[0058] It should be explained that the above-mentioned pollution index correction coefficient is used to quantify the impact of data transmission quality on the pasture environmental pollution index; the above-mentioned pollution index correction coefficient is matched from the management database, and the specific matching process is: compare the transmission quality assessment mean of the data acquisition device with the transmission quality assessment mean reference value of the data acquisition device in the management database. If the transmission quality assessment mean of the data acquisition device is equal to the transmission quality assessment mean reference value of the data acquisition device in the management database, the correction coefficient is 1, and no correction is required. If the transmission quality assessment mean of the data acquisition device is less than the transmission quality assessment mean reference value of the data acquisition device in the management database, it means that the data transmission quality is poor, which means that the collected pasture environment data is inaccurate. Or incomplete, resulting in an underestimate of the actual environmental pollution situation. Therefore, the correction coefficient is greater than 1, and the environmental pollution index of the pasture is amplified and corrected to serve as a warning, reminding relevant personnel to pay more attention to environmental pollution problems that may be underestimated; if the transmission quality assessment mean of the data acquisition equipment is greater than the transmission quality assessment mean reference value of the data acquisition equipment in the management database, it means that the data transmission quality is good, and the collected data can more accurately reflect the actual environmental conditions of the pasture. At this time, it is believed that the original environmental pollution index may be overestimated to a certain extent (because a certain conservative estimate was made before considering the poor data transmission quality), so the correction coefficient is less than 1, and the environmental pollution index of the pasture is reduced and corrected to make the assessment result closer to the actual situation.

[0059] By introducing the influence coefficient, we can quantify the influence of the ratio of the ammonia concentration in the sheep pasture to the ammonia concentration threshold in the management database on the pollution index of the pasture environment, the influence of the ratio of the hydrogen sulfide concentration to the hydrogen sulfide concentration threshold in the management database on the pollution index of the pasture environment, the influence of the ratio of the environmental interference index of the sheep pasture to the defined environmental interference index of the sheep pasture on the pollution index of the pasture environment, and the influence of the pollution index correction coefficient on the pollution index of the pasture environment. By coupling each influence degree, we can obtain the pollution index of the pasture environment. The pollution index of the pasture environment represents the comprehensive pollution level of the sheep pasture environment. The specific evaluation method is as follows: ;

[0060] Where, is the pollution index of the pasture environment, is the ammonia concentration in the sheep pasture, To manage the ammonia concentration threshold in the database, It is the weight factor corresponding to the ammonia concentration preset in the management database. is the hydrogen sulfide concentration in the sheep pasture, To manage the hydrogen sulfide concentration threshold in the database, The weight factor corresponding to the hydrogen sulfide concentration preset in the management database, is the environmental disturbance index of the sheep pasture, To manage the environmental disturbance index of sheep pastures defined in the database, The weight factor corresponding to the environmental disturbance index of the sheep pasture preset in the management database, is the pollution index correction factor.

[0061] It should be explained that the above-mentioned ammonia concentration threshold value represents the maximum ammonia concentration value allowed in the management database; the above-mentioned hydrogen sulfide concentration threshold value represents the maximum hydrogen sulfide concentration value allowed in the management database; the weight factor corresponding to the above-mentioned ammonia concentration represents the degree of influence of ammonia concentration on the pollution index of pasture environment; the weight factor corresponding to the above-mentioned hydrogen sulfide concentration represents the degree of influence of hydrogen sulfide concentration on the pollution index of pasture environment; the weight factor corresponding to the environmental interference index of sheep pasture represents the degree of influence of the environmental interference index of sheep pasture on the pollution index of pasture environment; the management database stores the correspondence between ammonia concentration, hydrogen sulfide concentration and environmental interference index and their corresponding weight factors. For example, by inputting ammonia concentration, hydrogen sulfide concentration and environmental interference index into the management database, the management database can match the ammonia concentration weight factor, hydrogen sulfide concentration weight factor and environmental interference index weight factor, and the value range is between 0 and 1.

[0062] In sheep pasture management, ammonia and hydrogen sulfide mainly come from the decomposition of organic matter such as sheep excrement, feed residues and bedding, and the two usually increase and decrease at the same time; when the ammonia concentration increases, it may cause changes in the physical and chemical properties of indoor air, thereby affecting the accuracy of some environmental monitoring equipment and causing changes in the environmental interference index; hydrogen sulfide is corrosive to some metal equipment and building materials, which will accelerate the damage of equipment and the aging of buildings, thereby affecting the stability of the breeding environment and causing an increase in the environmental interference index.

[0063] High ammonia concentrations indicate active decomposition of manure, which means poor manure management, leading to increased air pollution and an increase in the pollution index of the pasture environment. Hydrogen sulfide concentrations also come from manure decomposition. High concentrations of hydrogen sulfide are not only toxic, but also indicate problems with manure management, which will also lead to an increase in the pollution index of the pasture environment. The greater the environmental interference index of the sheep pasture, the greater the pollution index of the pasture environment.

[0064] Furthermore, the above-mentioned hierarchical regulation and intelligent management of the sheep pasture is carried out, and the specific analysis process is as follows: the pollution level of the sheep pasture is matched according to the pollution index of the pasture environment; when the sheep pasture level belongs to the first-level interval, the first-level regulation measures are matched, so that the sheep pasture is intelligently managed in a hierarchical manner; when the sheep pasture level belongs to the second-level interval, the second-level regulation measures are matched, so that the sheep pasture is intelligently managed in a hierarchical manner; when the sheep pasture level belongs to the third-level interval, the third-level regulation measures are matched, so that the sheep pasture is intelligently managed in a hierarchical manner.

[0065] It should be explained that when the pollution index of the pasture environment is less than the minimum value of the pollution index reference interval, it is marked as the first-level interval; when the pollution index of the pasture environment belongs to the pollution index reference interval, it is marked as the second-level interval; when the pollution index of the pasture environment is greater than the maximum value of the pollution index reference interval, it is marked as the third-level interval.

[0066] The above-mentioned pollution index reference interval represents the interval of the pasture environmental pollution index extracted from the management database, which is used to establish the evaluation standard of the pollution index to facilitate hierarchical management.

[0067] The above-mentioned matching of control measures at all levels is specifically carried out as follows: the management database stores the pollution index of the pasture environment and the corresponding control measures of the pasture environment pollution index. For example, the pollution index of the pasture environment is input into the management database, and the management database compares the pollution index of the pasture environment with the pollution index reference range, and matches the corresponding control measures according to the comparison result; It should be explained that when the pollution index of the pasture environment is less than the minimum value of the pollution index reference interval, it indicates that the pasture environment is good and the first-level regulatory measures are matched to maintain basic hygiene. In an example embodiment, the above-mentioned first-level regulatory measures refer to the mechanical manure scraping system running alone, the operating frequency is low, and the cleaning depth is shallow; when the pollution index of the pasture environment belongs to the pollution index reference interval, it indicates that the pasture environment is general and the second-level regulatory measures are matched to control the spread of pollution. In an example embodiment, the above-mentioned second-level regulatory measures refer to the mechanical manure scraping and the ditch fan running at the same time, the mechanical manure scraping operating frequency is medium frequency, the cleaning depth is medium, and the ditch fan running time is short; when the pollution index of the pasture environment is greater than the pollution index reference interval, the second-level regulatory measures refer to the mechanical manure scraping and the ditch fan running at the same time, the mechanical manure scraping operating frequency is medium frequency, the cleaning depth is medium, and the ditch fan running time is short. When the maximum value is reached, it indicates that the pasture environment is very poor, and three-level control measures are matched to deal with the pollution urgently. In an example embodiment, the above-mentioned three-level control measures refer to the joint operation of mechanical manure scraping, ditch fans and vertical ventilation systems, the operation frequency of mechanical manure scraping is high frequency, the cleaning depth is deep, and the ditch fans run continuously for 24 hours; the above-mentioned matching of control measures at all levels, the specific matching process is: the management database stores the control parameters corresponding to the control measures at all levels, and the pollution index of the pasture environment is input into the management database. The management database can match the corresponding control measures. The control parameters corresponding to the control measures are the parameters that need to be adjusted. The above-mentioned control parameters include the operation frequency of mechanical manure scraping, the cleaning depth and the operation time of the ditch fans.

[0068] In a specific embodiment, differentiated management and control strategies are triggered by corresponding levels of hierarchical control modules to achieve dynamic and precise sheep ranch management and establish a three-level response mechanism. When pollution exceeds the standard, corresponding measures are automatically activated to improve processing efficiency, thereby improving the sustainability and economy of sheep ranch operations.

[0069] Reference Figure 2 As shown, the second aspect of the present invention provides an intelligent management method for a sheep pasture, comprising: step 1, monitoring and analyzing the environmental parameter set of each data acquisition device, and determining whether to initialize each data acquisition device.

[0070] Step 2: Analyze the sheep pasture data collected by each data collection device and match the pollution level of the sheep pasture.

[0071] Step 3: Conduct graded regulation and intelligent management of the sheep pasture according to the pollution level of the sheep pasture.

[0072] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. An intelligent management system for sheep pastures, characterized in that: include: The data acquisition module is used to monitor and analyze the environmental parameter set of each data acquisition device and determine whether to initialize each data acquisition device; The level matching module is used to analyze the sheep pasture data collected by each data collection device and match the pollution level of the sheep pasture; The hierarchical control module is used to carry out hierarchical control and intelligent management of sheep pastures according to the pollution level of the sheep pastures.

2. The intelligent management system for sheep pasture according to claim 1, characterized in that: The monitoring and analysis of the environmental parameter set of each data acquisition device is as follows: The monitoring and analysis of the environmental parameter sets belonging to each data acquisition device include the air pressure of the sheep pasture, the concentration of corrosive gases in the sheep pasture, and the concentration of particulate matter in the sheep pasture; By introducing influence coefficients, the influence of the air pressure interference factor of the sheep pasture on the environmental interference index of the sheep pasture, the influence of the corrosive gas concentration influence factor of the sheep pasture on the environmental interference index of the sheep pasture, and the influence of the particulate matter concentration influence factor of the sheep pasture on the environmental interference index of the sheep pasture are quantified respectively. The influence degrees are coupled to obtain the environmental interference index of the sheep pasture. Among them, the environmental interference index of the sheep pasture indicates the severity of the disturbance to the pasture environment.

3. The intelligent management system for sheep pasture according to claim 1, characterized in that: The specific process of determining whether to initialize each data acquisition device is as follows: The environmental interference index of the sheep ranch is compared with the environmental interference index threshold. If the environmental interference index of the sheep ranch is less than or equal to the environmental interference index threshold, it is determined that each data collection device will not be initialized. If the environmental interference index of the sheep ranch is greater than the environmental interference index threshold, it is determined that each data collection device will be initialized.

4. The intelligent management system for sheep pasture according to claim 3, characterized in that: The specific adjustment process of initializing each data acquisition device is as follows: Performing difference processing on the environmental interference index of the sheep flock pasture and the environmental interference index threshold, performing ratio processing on the processing result and the environmental interference index threshold, finally obtaining the environmental interference assessment deviation value of the sheep flock pasture, and comparing it with the environmental interference assessment deviation threshold; if the environmental interference assessment deviation value of the sheep flock pasture is greater than the environmental interference assessment deviation threshold, selecting the first filtering dimension to initialize each data acquisition device; if the environmental interference assessment deviation value of the sheep flock pasture is less than or equal to the environmental interference assessment deviation threshold, selecting the second filtering dimension to initialize each data acquisition device; The sheep pasture data collected by each data acquisition device is transmitted, and the transmission quality evaluation coefficient of each data acquisition device is analyzed to determine whether the data transmission process of each data acquisition device is adjusted.

5. The intelligent management system for sheep pasture according to claim 4, characterized in that: The transmission quality evaluation coefficient of each data acquisition device is analyzed, and the specific analysis process is as follows: Obtaining the radio frequency interference factor of each data acquisition device, the vibration factor of each data acquisition device, and the efficiency factor of each data acquisition device; By introducing influence coefficients, the influence of the radio frequency interference factor of each data acquisition device on the transmission quality evaluation coefficient of each data acquisition device, the influence of the vibration factor of each data acquisition device on the transmission quality evaluation coefficient of each data acquisition device, the influence of the efficiency factor of each data acquisition device on the transmission quality evaluation coefficient of each data acquisition device, and the influence of the environmental interference index of the sheep pasture on the transmission quality evaluation coefficient of each data acquisition device are quantified respectively. The influence degrees are coupled to obtain the transmission quality evaluation coefficient of each data acquisition device, where the transmission quality evaluation coefficient of each data acquisition device represents the comprehensive transmission performance of each data acquisition device under the environmental conditions of the sheep pasture.

6. The intelligent management system for sheep pasture according to claim 4, characterized in that: The determination of whether to adjust the data transmission process of each data acquisition device is as follows: Comparing the transmission quality assessment coefficient of each data acquisition device with the transmission quality assessment coefficient reference interval; If the transmission quality evaluation coefficient of a data acquisition device is greater than the maximum value of the transmission quality evaluation coefficient reference interval, it is determined that the data transmission process of the data acquisition device is not adjusted; If the transmission quality evaluation coefficient of a data acquisition device is less than the minimum value of the transmission quality reference interval of the data acquisition device, or belongs to the transmission quality reference interval of the data acquisition device, it is determined to adjust the data transmission process of the data acquisition device.

7. The intelligent management system for a sheep pasture according to claim 6, characterized in that: The data transmission process of the data acquisition device is adjusted, and the specific adjustment process is: If the transmission quality assessment coefficient of the data acquisition device belongs to the transmission quality assessment coefficient reference interval, the maximum value of the transmission quality assessment coefficient interval is subjected to difference processing with the transmission quality assessment coefficient of the data acquisition device, and the processing result is subjected to ratio processing with the maximum value of the transmission quality assessment coefficient interval, and finally a first transmission quality assessment deviation value of the data acquisition device is obtained, and compared with a first transmission quality assessment deviation threshold value preset in the management database; if the first transmission quality assessment deviation value is greater than the first transmission quality assessment deviation threshold value, a first adjustment scheme is matched to adjust the data transmission process of the acquisition device; if the first transmission quality assessment deviation value is less than or equal to the first transmission quality assessment deviation threshold value, a second adjustment scheme is matched to adjust the data transmission process of the acquisition device; If the transmission quality assessment coefficient of the data acquisition device is less than the minimum value of the transmission quality assessment coefficient reference interval, the transmission quality assessment coefficient interval minimum value and the transmission quality assessment coefficient of the data acquisition device are subjected to difference processing, and the processing result is subjected to ratio processing with the minimum value of the transmission quality assessment coefficient interval, and finally the second transmission quality assessment deviation value of the data acquisition device is obtained, and compared with the second transmission quality assessment deviation threshold preset in the management database. If the second transmission quality assessment deviation value is greater than the second transmission quality assessment deviation threshold, the third adjustment scheme is matched to adjust the data transmission process of the acquisition device. If the second transmission quality assessment deviation value is less than or equal to the second transmission quality assessment deviation threshold, the fourth adjustment scheme is matched to adjust the data transmission process of the acquisition device.

8. The intelligent management system for sheep pasture according to claim 1, characterized in that: The specific analysis process of analyzing the sheep pasture data collected by each data collection device is as follows: The sheep pasture data collected by each data collection device includes the ammonia concentration of the sheep pasture, the hydrogen sulfide concentration of the sheep pasture, and the environmental interference index of the sheep pasture; The transmission quality evaluation coefficients of each data acquisition device are averaged to obtain the transmission quality evaluation mean of the data acquisition device and matched with the pollution index correction coefficient; By introducing influence coefficients, we can quantify the influence of the ratio of the ammonia concentration in the sheep pasture to the ammonia concentration threshold in the management database on the pollution index of the pasture environment, the influence of the ratio of the hydrogen sulfide concentration to the hydrogen sulfide concentration threshold in the management database on the pollution index of the pasture environment, the influence of the ratio of the environmental interference index of the sheep pasture to the defined environmental interference index of the sheep pasture on the pollution index of the pasture environment, and the influence of the pollution index correction coefficient on the pollution index of the pasture environment. By coupling each influence degree, we can obtain the pollution index of the pasture environment, among which the pollution index of the pasture environment represents the comprehensive pollution level of the sheep pasture environment.

9. The intelligent management system for sheep pasture according to claim 7, characterized in that: The specific analysis process of the hierarchical regulation and intelligent management of sheep pastures is as follows: Match the pollution level of the sheep pasture according to the pollution index of the pasture environment; When the sheep pasture grade belongs to the first-level range, the first-level control measures are matched, thereby implementing hierarchical control and intelligent management of the sheep pasture; When the sheep pasture grade belongs to the second-level interval, the second-level control measures are matched, thereby implementing hierarchical control and intelligent management of the sheep pasture; When the sheep pasture grade belongs to the third level range, the third level control measures are matched to carry out hierarchical control and intelligent management of the sheep pasture.

10. An intelligent management method for a sheep pasture, characterized by: include: Step 1: Monitor and analyze the environmental parameter set of each data acquisition device to determine whether to initialize each data acquisition device; Step 2: Analyze the sheep pasture data collected by each data collection device and match the pollution level of the sheep pasture; Step 3: Conduct graded regulation and intelligent management of the sheep pasture according to the pollution level of the sheep pasture.

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